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17 pages, 9525 KiB  
Article
Structured Triacylglycerol with Optimal Arachidonic Acid and Docosahexaenoic Acid Content for Infant Formula Development: A Bio-Accessibility Study
by Luis Vázquez, Blanca Pardo de Donlebún, Alejandra Gutiérrez-Guibelalde, Assamae Chabni and Carlos F. Torres
Foods 2024, 13(17), 2797; https://doi.org/10.3390/foods13172797 - 2 Sep 2024
Viewed by 764
Abstract
Polyunsaturated fatty acids (PUFAs), especially arachidonic acid (ARA) and docosahexaenoic acid (DHA), are extremely important fatty acids for brain development in the fetus and early childhood. Premature infants face challenges obtaining these two fatty acids from their mothers. It has been reported that [...] Read more.
Polyunsaturated fatty acids (PUFAs), especially arachidonic acid (ARA) and docosahexaenoic acid (DHA), are extremely important fatty acids for brain development in the fetus and early childhood. Premature infants face challenges obtaining these two fatty acids from their mothers. It has been reported that supplementation with triacylglycerols (TAGs) with an ARA:DHA (w/w) ratio of 2:1 may be optimal for preterm infants, as presented in commercial formulas such as Formulaid™. This study explored methods to produce TAGs with a 2:1 ratio (ARA:DHA), particularly at the more bioavailable sn-2 position of the glycerol backbone. Blending and enzymatic acidolysis of microalgae oil (rich in DHA) and ARA-rich oil yielded products with the desired ARA:DHA ratio, enhancing sn-2 composition compared to Formulaid™ (1.6 for blending and 2.3 for acidolysis versus 0.9 in Formulaid™). Optimal acidolysis conditions were 45 °C, a 1:3 substrate molar ratio, 10% Candida antarctica lipase, and 4 h. The process was reproducible, and scalable, and the lipase could be reused. In vitro digestion showed that 75.5% of the final product mixture was bio-accessible, comprising 19.1% monoacylglycerols, ~50% free fatty acids, 14.6% TAGs, and 10.1% diacylglycerols, indicating better bio-accessibility than precursor oils. Full article
(This article belongs to the Section Nutraceuticals, Functional Foods, and Novel Foods)
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Figure 1

Figure 1
<p>Acidolysis at 55 °C with RM lipase at different ARA-oil:DHA-FFA ubstrate molar ratios. (<b>A</b>) Composition (wt%) of ARA and DHA. (●) 1:1—ARA; (■) 1:3—ARA; (▲) 1:6—ARA; (○) 1:1—DHA; (□) 1:3—DHA; (Δ) 1:6—DHA. (<b>B</b>) ARA:DHA (<span class="html-italic">w</span>/<span class="html-italic">w</span>) ratio. (<span class="html-fig-inline" id="foods-13-02797-i001"><img alt="Foods 13 02797 i001" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i001.png"/></span>) 1:1; (<span class="html-fig-inline" id="foods-13-02797-i002"><img alt="Foods 13 02797 i002" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i002.png"/></span>) 1:3; (<span class="html-fig-inline" id="foods-13-02797-i003"><img alt="Foods 13 02797 i003" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i003.png"/></span>) 1:6.</p>
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<p>Acidolysis at 55 °C and 1:3 ARA-oil:DHA-FFAs substrate molar ratio with different lipases. (<b>A</b>) Composition (wt%) of ARA and DHA. (●) TL—ARA; (■) RM—ARA; (▲) CA—ARA; (○) TL—DHA; (□) RM—DHA; (Δ) CA—DHA. (<b>B</b>) ARA:DHA (<span class="html-italic">w</span>/<span class="html-italic">w</span>) ratio. (<span class="html-fig-inline" id="foods-13-02797-i004"><img alt="Foods 13 02797 i004" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i004.png"/></span>) CA; (<span class="html-fig-inline" id="foods-13-02797-i005"><img alt="Foods 13 02797 i005" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i005.png"/></span>) TL; (<span class="html-fig-inline" id="foods-13-02797-i006"><img alt="Foods 13 02797 i006" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i006.png"/></span>) RM.</p>
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<p>Time course of in vitro gastric and intestinal digestion of the scale-up product. <span class="html-fig-inline" id="foods-13-02797-i007"><img alt="Foods 13 02797 i007" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i007.png"/></span> FFA, <span class="html-fig-inline" id="foods-13-02797-i008"><img alt="Foods 13 02797 i008" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i008.png"/></span> MAG, <span class="html-fig-inline" id="foods-13-02797-i009"><img alt="Foods 13 02797 i009" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i009.png"/></span> cholesterol, <span class="html-fig-inline" id="foods-13-02797-i010"><img alt="Foods 13 02797 i010" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i010.png"/></span> DAG, <span class="html-fig-inline" id="foods-13-02797-i011"><img alt="Foods 13 02797 i011" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i011.png"/></span> TAG.</p>
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<p>Phase distribution and composition (wt%) after digestion of the scale-up product. <span class="html-fig-inline" id="foods-13-02797-i012"><img alt="Foods 13 02797 i012" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i012.png"/></span> FFA: free fatty acid, <span class="html-fig-inline" id="foods-13-02797-i013"><img alt="Foods 13 02797 i013" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i013.png"/></span> MAG: monoacylglycerol, <span class="html-fig-inline" id="foods-13-02797-i014"><img alt="Foods 13 02797 i014" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i014.png"/></span> Cholesterol, <span class="html-fig-inline" id="foods-13-02797-i015"><img alt="Foods 13 02797 i015" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i015.png"/></span> DAG: diacylglycerol, <span class="html-fig-inline" id="foods-13-02797-i016"><img alt="Foods 13 02797 i016" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i016.png"/></span> TAG: triacylglycerol. <span class="html-fig-inline" id="foods-13-02797-i017"><img alt="Foods 13 02797 i017" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i017.png"/></span> OP: oil phase, <span class="html-fig-inline" id="foods-13-02797-i018"><img alt="Foods 13 02797 i018" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i018.png"/></span> MP: micellar phase, <span class="html-fig-inline" id="foods-13-02797-i019"><img alt="Foods 13 02797 i019" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i019.png"/></span> PP: precipitate phase.</p>
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<p>The distribution of each lipid compound among the different phases. <span class="html-fig-inline" id="foods-13-02797-i020"><img alt="Foods 13 02797 i020" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i020.png"/></span> FFA: free fatty acid, <span class="html-fig-inline" id="foods-13-02797-i021"><img alt="Foods 13 02797 i021" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i021.png"/></span> MAG: monoacylglycerol, <span class="html-fig-inline" id="foods-13-02797-i022"><img alt="Foods 13 02797 i022" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i022.png"/></span> Cholesterol, <span class="html-fig-inline" id="foods-13-02797-i023"><img alt="Foods 13 02797 i023" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i023.png"/></span> DAG: diacylglycerol, <span class="html-fig-inline" id="foods-13-02797-i024"><img alt="Foods 13 02797 i024" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i024.png"/></span> TAG: triacylglycerol. <span class="html-fig-inline" id="foods-13-02797-i025"><img alt="Foods 13 02797 i025" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i025.png"/></span> OP: oil phase, <span class="html-fig-inline" id="foods-13-02797-i026"><img alt="Foods 13 02797 i026" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i026.png"/></span> MP: micellar phase, <span class="html-fig-inline" id="foods-13-02797-i027"><img alt="Foods 13 02797 i027" src="/foods/foods-13-02797/article_deploy/html/images/foods-13-02797-i027.png"/></span> PP: precipitate phase.</p>
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18 pages, 4243 KiB  
Article
The Continuous and Reversible Transformation of the Polymorphs of an MGAT2 Inhibitor (S-309309) from the Anhydrate to the Hydrate in Response to Relative Humidity
by Tetsuya Miyano, Katsuji Sugita and Hiroshi Ueda
Pharmaceutics 2024, 16(7), 949; https://doi.org/10.3390/pharmaceutics16070949 - 17 Jul 2024
Viewed by 678
Abstract
Polymorphic control is vital for the quality control of pharmaceutical crystals. Here, we investigated the relationship between the hydrate and anhydrate polymorphs of a monoacylglycerol acyltransferase 2 inhibitor (S-309309). Solvent evaporation and slurry conversion revealed two polymorphs, the hydrate and the solvate. The [...] Read more.
Polymorphic control is vital for the quality control of pharmaceutical crystals. Here, we investigated the relationship between the hydrate and anhydrate polymorphs of a monoacylglycerol acyltransferase 2 inhibitor (S-309309). Solvent evaporation and slurry conversion revealed two polymorphs, the hydrate and the solvate. The solvate was transformed into the hydrate by heating. X-ray powder diffraction demonstrated that the hydrate was transformed into an anhydrate via an intermediate state when heated. These crystal forms were confirmed under controlled humidity conditions; the presence of the anhydrate, the intermediate hydrate, or the hydrate depended on the relative humidity at 25 °C. The stoichiometry of S-309309 in water in the hydrate form was 4:1. The hydrates and anhydrates exhibited similar crystal structures and stability. The water of hydration in the intermediate hydrate was 0.1–0.15 mol according to the dynamic vapor sorption profile. The stability and dissolution profile of the anhydrate and hydrate showed no significant change due to similar crystal lattices and quick rehydration of the anhydrate. A mechanism for the reversible crystal transformation between the anhydrate and pseudo-polymorphs of the hydrate was discovered. We concluded that S-309309 causes a pseudo-polymorphic transformation; however, this is not a critical issue for pharmaceutical use. Full article
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Figure 1
<p>Chemical structure of S-309309.</p>
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<p>X-ray powder diffraction (XRD) profiles of (<b>a</b>) Form I and (<b>b</b>) Form II.</p>
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<p>Thermogravimetric–differential thermal analysis (TG-DTA) profiles of (<b>a</b>) Form I and (<b>b</b>) Form II.</p>
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<p>X-ray powder diffraction (XRD) profiles of Form I obtained at various temperatures: (<b>a</b>) overall (5–30°) and (<b>b</b>) magnified (15–25°).</p>
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<p>X-ray powder diffraction (XRD) profiles of Form I obtained at various temperatures and humidities: (<b>a</b>) overall (5–30°) and (<b>b</b>) magnified (15–25°).</p>
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<p>Dynamic vapor sorption (DVS) profile of Form I. Blue and red lines with points represent sorption and desorption, respectively.</p>
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<p>Crystal structures of (<b>a</b>) Form I-A and (<b>b</b>) Form I-C.</p>
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<p>Simulated X-ray powder diffraction (XRD) profiles of (<b>a</b>) Form I-A and (<b>b</b>) Form I-C.</p>
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<p>Crystal structure with void spaces of (<b>a</b>) Form I-A and (<b>b</b>) Form I-C.</p>
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<p>The dissolution profiles of Form I-A and Form I-C in pH 6.8 phosphate buffer at 37 °C. The error bars show the standard deviation of n = 3.</p>
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<p>Raman spectrum of intact S-309309.</p>
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<p>Differential scanning calorimetry (DSC) profile of intact S-309309.</p>
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28 pages, 4240 KiB  
Review
Fluorescence-Based Enzyme Activity Assay: Ascertaining the Activity and Inhibition of Endocannabinoid Hydrolytic Enzymes
by Pierangela Ciuffreda, Ornella Xynomilakis, Silvana Casati and Roberta Ottria
Int. J. Mol. Sci. 2024, 25(14), 7693; https://doi.org/10.3390/ijms25147693 - 13 Jul 2024
Viewed by 872
Abstract
The endocannabinoid system, known for its regulatory role in various physiological processes, relies on the activities of several hydrolytic enzymes, such as fatty acid amide hydrolase (FAAH), N-acylethanolamine-hydrolyzing acid amidase (NAAA), monoacylglycerol lipase (MAGL), and α/β-hydrolase domains 6 (ABHD6) and 12 (ABHD12), [...] Read more.
The endocannabinoid system, known for its regulatory role in various physiological processes, relies on the activities of several hydrolytic enzymes, such as fatty acid amide hydrolase (FAAH), N-acylethanolamine-hydrolyzing acid amidase (NAAA), monoacylglycerol lipase (MAGL), and α/β-hydrolase domains 6 (ABHD6) and 12 (ABHD12), to maintain homeostasis. Accurate measurement of these enzymes’ activities is crucial for understanding their function and for the development of potential therapeutic agents. Fluorometric assays, which offer high sensitivity, specificity, and real-time monitoring capabilities, have become essential tools in enzymatic studies. This review provides a comprehensive overview of the principles behind these assays, the various substrates and fluorophores used, and advances in assay techniques used not only for the determination of the kinetic mechanisms of enzyme reactions but also for setting up kinetic assays for the high-throughput screening of each critical enzyme involved in endocannabinoid degradation. Through this comprehensive review, we aim to highlight the strengths and limitations of current fluorometric assays and suggest future directions for improving the measurement of enzyme activity in the endocannabinoid system. Full article
(This article belongs to the Special Issue Advanced Research on Lipid Signaling Molecules)
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Figure 1

Figure 1
<p>(Up) Structures of 2-arachidonoylglycerol (2-AG) and the hydrolysis products; (down) proposed orientations of 2-AG hydrolysis enzymes (ABHD6, ABHD12, and MAGL) [<a href="#B50-ijms-25-07693" class="html-bibr">50</a>].</p>
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<p>Localizations of AEA-hydrolyzing enzymes (FAAH and NAAA).</p>
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<p>General structure and mechanism. (Up) Substrate-based probes; (down) substrate-based probes containing self-immolate linker.</p>
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<p>MAGL-responsive fluorescent probe methyl maleimido-benzochromene carboxylate (MMBC).</p>
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<p>MAGL-responsive fluorescent probe 7-hydroxycoumarinyl-arachidonate (7-HCA).</p>
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<p>Structures of MAGL-responsive probes 7-hydroxycoumarinyl-arachidonate (7-HCA), 7-hydroxycoumarinyl-γ-linolenate (7-HCL), 7-hydroxycoumarinyl-6-heptenoate (7-HCH), and non-responsive arachidonyl 7-amino-4-methylcoumarin amide (AAMCA).</p>
Full article ">Figure 7
<p>MAGL-responsive fluorescent probe: 4-methylcoumarin and coumarin-based acyl-substrates with various aliphatic chain lengths.</p>
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<p>MAGL-responsive fluorescent probes: 7-hydroxyresorufynil esters: acetate (<b>1a</b>), butyrate (<b>1b</b>), octanoate (<b>1c</b>), dodecanoate (<b>1d</b>), icosanoate (<b>1e</b>), oleate (<b>1f</b>), arachidonate (<b>1g</b>), 2-methylhexanoate (<b>1h</b>), 2-ethylhexanoate (<b>1i</b>) 2-butyloctanoate (<b>1j</b>), and benzoate (<b>1k</b>). For clarity, only the compounds cited directly in the text and figure have been numbered.</p>
Full article ">Figure 9
<p>Bioluminescence reactions of the bioluminescence probe for MAGL, arachidonoyl luciferin.</p>
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<p>General design of fluorescent probe for MAGL. L is a linker; R1 is a fluorescent label; R2, R3, and R4 are each independently selected from hydrogen, halogen, C1-C6-alkyl, halo-C1-C6-alkyl, C1-C6-alkoxy, and halo-C1-C6-alkoxy; and X and Y are both CH; X and Y taken together form a double bond (C=C).</p>
Full article ">Figure 11
<p>Fluorescence turn-on responses of 6-hydroxy-2-naphthaldehyde-arachidonate (AA-HNA) on 2-AG hydrolases (MAGL, ABHD6, and ABHD12).</p>
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<p>GK = glycerol kinase; GPO = glycerol-3-phosphate.</p>
Full article ">Figure 13
<p>Fluorescence multi-enzymatic method proposed by Savinainen for MAGL, ABHD6, and ABHD12 activity evaluations. 1_ Catalysis of 1(3)-AG hydrolysis by ABHD; 2_ glycerol conversion to glycerol-1-phosphate (G-1-P) in presence of ATP performed by glycerol kinase (GK); 3_ oxidation of G-1-P catalyzed by glycerol 3-phosphate oxidase (GPO), generating H<sub>2</sub>O<sub>2</sub>; 4_ reaction of Amplifu™ Red with H<sub>2</sub>O<sub>2</sub> catalyzed by horseradish peroxidase (HRP to form fluorescent resorufin.</p>
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<p>FAAH-responsive fluorescent probe: (<b>a</b>) AAMCA = arachidonyl 7-amino, 4-methyl coumarin amide; (<b>b</b>) decanoyl aminomethyl coumarin. AA = arachidonic acid.</p>
Full article ">Figure 15
<p>Structures of fluorescent reporters and substrates [<a href="#B120-ijms-25-07693" class="html-bibr">120</a>].</p>
Full article ">Figure 16
<p>Structures of p-nitroaniline (R-pNA), 5-amino-2-methoxypyridine (R-MAP), and 7-amino-4-methylcoumarin (R-AMC) containing substrates of FAAH. D = decanoyl; Oc = octanoyl.</p>
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<p>Structures of putative pyrenyl-containing substrates of FAAH. n = 3 <span class="html-italic">N</span>-(2-hydroxyethyl)-4-pyren-1-ylbutanamide; n = 5 <span class="html-italic">N</span>-(2-hydroxyethyl)-4-pyren-1-ylhexanamide; n = 7 <span class="html-italic">N</span>-(2-hydroxyethyl)-4-pyren-1-yloctanamide; n = 11 <span class="html-italic">N</span>-(2-hydroxyethyl)-4-pyren-1-yldodecanamide.</p>
Full article ">Figure 18
<p>FAAH-responsive fluorescent probe THPO: (THPO = arachidonic acid derivative of 7-amino-3H-phenoxazin-3-one (AHPO).</p>
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<p>FAAH-responsive fluorescent probe DAND: DAND = decanoic acid derivative of 7-amino-9,9-dimethylacridin-2(9H)-one (DAN).</p>
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<p>Scheme of production of 7-hydroxyl coumarin (7-HC) from RBM1-151 by amide hydrolysis and further in situ oxidation and β-elimination. In the box are the original compounds that inspired RBM1-151: RBM5-177 and RBM14-C12.</p>
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<p>NAAA-responsive fluorescent probe <span class="html-italic">N</span>-(4-methyl coumarin) palmitamide (PAMCA).</p>
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<p>Structure of probes used for enzyme activity evaluation in living cells.</p>
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15 pages, 2188 KiB  
Article
Distribution and Level of Bioactive Monoacylglycerols in 12 Marine Microalgal Species
by Giovanna Santaniello, Gianna Falascina, Marcello Ziaco, Laura Fioretto, Angela Sardo, Martina Carelli, Mariarosaria Conte, Giovanna Romano and Adele Cutignano
Mar. Drugs 2024, 22(6), 258; https://doi.org/10.3390/md22060258 - 31 May 2024
Viewed by 1123
Abstract
Microalgae are currently considered an attractive source of highly valuable metabolites potentially exploitable as anticancer agents, nutraceuticals and cosmeceuticals and for bioenergy purposes. Their ease of culturing and their high growth rates further promote their use as raw material for the production of [...] Read more.
Microalgae are currently considered an attractive source of highly valuable metabolites potentially exploitable as anticancer agents, nutraceuticals and cosmeceuticals and for bioenergy purposes. Their ease of culturing and their high growth rates further promote their use as raw material for the production of specialty products. In the present paper, we focused our attention on specific glycerol-based lipid compounds, monoacylglycerols (MAGs), which displayed in our previous studies a selective cytotoxic activity against the haematological U-937 and the colon HCT-116 cancer cell lines. Here, we performed a quali/quantitative analysis of MAGs and total fatty acids (FAs) along with a profiling of the main lipid classes in a panel of 12 microalgal species, including diatoms and dinoflagellates. Our results highlight an inter- and intraspecific variability of MAG profile in the selected strains. Among them, Skeletonema marinoi (strain FE7) has emerged as the most promising source for possible biotechnological production of MAGs. Full article
(This article belongs to the Special Issue Biotechnological Applications of Marine Microalgae)
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Figure 1
<p>Microalgae growth curves: (<b>A</b>) <span class="html-italic">Skeletonema</span> genus; (<b>B</b>) colonial diatom species plus <span class="html-italic">Cyclotella cryptica;</span> (<b>C</b>) <span class="html-italic">Pheodactylum tricornutum</span>; (<b>D</b>) <span class="html-italic">Amphidinium</span> genus. Error bars show the standard deviation (SD) of triplicate samples (n = 3).</p>
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<p>Representative LC-ESIMS profile of MAGs as extracted M + Na<sup>+</sup> ions in the selected microalgal species.</p>
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<p>Quantification of main MAGs present in the selected microalgal species. (<b>A</b>) <span class="html-italic">Skeletonema</span> spp., (<b>B</b>) colonial diatoms, (<b>C</b>) non-colonial diatoms and (<b>D</b>) <span class="html-italic">Amphidinium</span> genus. The values of all the molecules are reported as µg/mg of dry pellet. In the figure, we reported molecules whose concentration was higher than 0.02 µg/mg of DW. Results are expressed as mean ± SD (n = 3).</p>
Full article ">Figure 3 Cont.
<p>Quantification of main MAGs present in the selected microalgal species. (<b>A</b>) <span class="html-italic">Skeletonema</span> spp., (<b>B</b>) colonial diatoms, (<b>C</b>) non-colonial diatoms and (<b>D</b>) <span class="html-italic">Amphidinium</span> genus. The values of all the molecules are reported as µg/mg of dry pellet. In the figure, we reported molecules whose concentration was higher than 0.02 µg/mg of DW. Results are expressed as mean ± SD (n = 3).</p>
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<p>TAG composition in selected microalgal species. Distribution of TAGs in (<b>A</b>) four <span class="html-italic">Skeletonema</span> spp., (<b>B)</b> colonial and (<b>C</b>) non-colonial diatoms (<b>D</b>) and <span class="html-italic">Amphidinium</span> species. Data are reported as mean peak area ± SD (n = 3).</p>
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18 pages, 7117 KiB  
Article
Serotonin Transporter Deficiency Induces Metabolic Alterations in the Ileal Mucosa
by Nathan Calzadilla, Dulari Jayawardena, Aisha Qazi, Anchal Sharma, Kai Mongan, Shane Comiskey, Abhijith Eathara, Seema Saksena, Pradeep K. Dudeja, Waddah A. Alrefai and Ravinder K. Gill
Int. J. Mol. Sci. 2024, 25(8), 4459; https://doi.org/10.3390/ijms25084459 - 18 Apr 2024
Viewed by 1076
Abstract
Serotonin transporter (SERT) deficiency has been implicated in metabolic syndrome, intestinal inflammation, and microbial dysbiosis. Interestingly, changes in microbiome metabolic capacity and several alterations in host gene expression, including lipid metabolism, were previously observed in SERT−/− mice ileal mucosa. However, the precise [...] Read more.
Serotonin transporter (SERT) deficiency has been implicated in metabolic syndrome, intestinal inflammation, and microbial dysbiosis. Interestingly, changes in microbiome metabolic capacity and several alterations in host gene expression, including lipid metabolism, were previously observed in SERT−/− mice ileal mucosa. However, the precise host or microbial metabolites altered by SERT deficiency that may contribute to the pleiotropic phenotype of SERT KO mice are not yet understood. This study investigated the hypothesis that SERT deficiency impacts lipid and microbial metabolite abundances in the ileal mucosa, where SERT is highly expressed. Ileal mucosal metabolomics was performed by Metabolon on wild-type (WT) and homozygous SERT knockout (KO) mice. Fluorescent-activated cell sorting (FACS) was utilized to measure immune cell populations in ileal lamina propria to assess immunomodulatory effects caused by SERT deficiency. SERT KO mice exhibited a unique ileal mucosal metabolomic signature, with the most differentially altered metabolites being lipids. Such changes included increased diacylglycerols and decreased monoacylglycerols in the ileal mucosa of SERT KO mice compared to WT mice. Further, the ileal mucosa of SERT KO mice exhibited several changes in microbial-related metabolites known to play roles in intestinal inflammation and insulin resistance. SERT KO mice also had a significant reduction in the abundance of ileal group 3 innate lymphoid cells (ILC3). In conclusion, SERT deficiency induces complex alterations in the ileal mucosal environment, indicating potential links between serotonergic signaling, gut microbiota, mucosal immunity, intestinal inflammation, and metabolic syndrome. Full article
(This article belongs to the Special Issue Molecular Research of Gastrointestinal Disease 2.0)
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Figure 1
<p>SERT KO mice exhibit a unique ileal mucosal metabolomic profile. (<b>A</b>) Volcano plot (log<sub>2</sub> fold change of metabolites in SERT knockout (KO) compared to wild-type (WT) mice was plotted against the −log<sub>10</sub> of the <span class="html-italic">p</span>-value) where the up-facing arrow indicates the number of significantly increased metabolites, and the down-facing arrow indicated the number of significantly decreased metabolites. (<b>B</b>) Sparse partial least squares discriminant analysis (sPLSDA) plots generated in Metaboanalyst. (<b>C</b>) Pie chart demonstrating the proportion of differentially altered metabolites by subtype. (<b>D</b>) Top 25 enriched pathways in the ileal mucosa of WT vs. SERT KO mice.</p>
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<p>SERT KO mice demonstrate altered mucosal monoacylglycerol and diacylglycerol pools. (<b>A</b>) Boxplot of overall monoacylglycerol and (<b>B</b>) diacylglycerol abundances in ileal mucosa (Welch <span class="html-italic">t</span>-test; ** <span class="html-italic">p</span> &lt; 0.01; WT n = 7; SERT KO n = 6) (<b>C</b>) Heatmap of differentially altered monoacylglycerol and diacylglycerol metabolites (<span class="html-italic">p</span> &lt; 0.05, q &lt; 0.1, Welch <span class="html-italic">t</span>-test; WT n = 7; SERT KO n = 6). * Indicates compounds with lack of reference standard acquisition but their identity is based upon orthogonal information. [1] and [2] indicates a compound that is a structural isomer of another compound in the Metabolon spectral library. In this instance, a diacylglycerol for which more than one stereospecific molecule exists.</p>
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<p>Long-chain fatty acids are depleted in ileal mucosa, which lacks SERT. (<b>A</b>) Boxplot of overall long-chain saturated fatty acids, (<b>B</b>) long-chain monounsaturated fatty acids, and (<b>C</b>) long-chain polyunsaturated fatty acids (n3 and n6) abundances in ileal mucosa (Welch <span class="html-italic">t</span>-test; ** <span class="html-italic">p</span> &lt; 0.01; WT n = 7; SERT KO n = 6) (<b>D</b>) Heatmap of differentially altered long chain fatty acids (<span class="html-italic">p</span> &lt; 0.05, q &lt; 0.1, Welch <span class="html-italic">t</span>-test; WT n = 7; SERT KO n = 6). * Indicates compounds with lack of reference standard acquisition but their identity is based upon orthogonal information.</p>
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<p>SERT leads to altered metabolite distributions. Ridgeline plot showing the distributions of differentially altered metabolites involved in dietary absorption and enterohepatic circulation. Ridgeline plots demonstrate the density of values along the <span class="html-italic">x</span>-axis in the form of an estimated probability density function. (<span class="html-italic">p</span> &lt; 0.05, q &lt; 0.1, Welch <span class="html-italic">t</span>-test; WT n = 7; SERT KO n = 6).</p>
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<p>Lack of SERT leads to altered composition of intestinal innate lymphoid cells. Lamina propria lymphocytes were isolated from mice ileal tissues, and 1 million cells were stained for ILC transcription factors marking ILC1 (Tbet), ILC2 (GATA3), ILC3 (RORɣt) and Total CD127<sup>+</sup> (<b>A</b>) Gating strategy in FACS analysis for CD127<sup>+</sup> ILC. (<b>B</b>) FACS dot plots identifying ILC1 (Q1) and ILC2 (Q3) populations. (<b>C</b>) Representative bar diagram showing the percentage of ILC1 in total CD127<sup>+</sup> Cell population. (<b>D</b>) Representative bar diagram showing the percentage of ILC2 in total CD127<sup>+</sup> Cell population. (<b>E</b>) FACS dot plots identifying ILC3 (Q5) population. (<b>F</b>) Representative bar diagram showing the percentage of ILC3 in total CD127<sup>+</sup> cell population. (<b>G</b>) Representative bar diagram showing the percentage of CD127<sup>+</sup> cells in the total live lymphocytic cell population in the ileal lamina propria. Data represented as average ± SEM, n = 3, * <span class="html-italic">p</span> &lt; 0.05 vs. WT, Welch <span class="html-italic">t</span>-test.</p>
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21 pages, 5713 KiB  
Article
The Impact of Different Drying Methods on the Metabolomic and Lipidomic Profiles of Arthrospira platensis
by Marika Mróz, Karol Parchem, Joanna Jóźwik, M. Rosário Domingues and Barbara Kusznierewicz
Molecules 2024, 29(8), 1747; https://doi.org/10.3390/molecules29081747 - 12 Apr 2024
Cited by 1 | Viewed by 1098
Abstract
Drying is an inseparable part of industrial microalgae production. In this work, the impacts of eight different drying methods on the metabolome and lipidome of Arthrospira platensis were investigated. The studied drying methods were freeze drying (FD), sun drying (SD), air drying at [...] Read more.
Drying is an inseparable part of industrial microalgae production. In this work, the impacts of eight different drying methods on the metabolome and lipidome of Arthrospira platensis were investigated. The studied drying methods were freeze drying (FD), sun drying (SD), air drying at 40 and 75 °C (AD′ and AD″), infrared drying at 40 and 75 °C (IRD′ and IRD″), and vacuum drying at 40 and 75 °C (VD′ and VD″). Results gathered by reversed-phase liquid chromatography separation coupled with high-resolution tandem mass spectrometry with electrospray ionization (RP-LC-ESI-Orbitrap HRMS/MS) analysis allowed researchers to identify a total of 316 metabolites (including lipids) in aqueous and ethanolic extracts. The compounds identified in ethanolic extracts were mainly lipids, such as neutral and polar lipids, chlorophylls and carotenoids, while the compounds identified in the aqueous extracts were mainly amino acids and dipeptides. Among the identified compounds, products of enzymatic and chemical degradation, such as pyropheophytins, monoacylglycerols and lysophosphatidylcholines were also identified and their amounts depended on the drying method. The results showed that except for FD method, recognized as a control, the most protective method was AD′. Contrary to this, VD′ and VD″, under the conditions used, promoted the most intense degradation of valuable metabolites. Full article
(This article belongs to the Special Issue Applications of Spectroscopic Techniques in Food Sample Analysis)
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<p>TIC of metabolite profiles of aqueous (<b>a</b>) and ethanolic (<b>b</b>) extracts from freeze-dried spirulina acquired in ESI(+) and ESI(−), set with a number of metabolites in groups of compounds (<b>c</b>) and classes of compounds (<b>d</b>) annotated in spirulina samples. (AAs &amp; DPs, amino acids and dipeptides; CARs, carotenoids; CHLs, chlorophylls and derivatives; DGs, diacylglycerols; DGDGs, digalactosyl diacylglycerols; DGMGs, digalactosyl monoacylglycerols; LPCs, lysophosphatidylcholine; LPGs, lysophosphatidylglycerols; MGDGs, monogalactosyl diacylglycerols; MGMGs, monogalactosyl monoacylglycerols; N-comps, other polar nitrogen compounds; PCs, phosphatidylcholines; PEs, phosphatidylethanolamine; PGs, phosphatidylglycerols; Pl-Cers, ceramide phosphoinositols; SQDGs, sulfoquinovosyl diacylglycerols; SQMGs, sulfoquinovosyl monoacylglycerols; TGs, triacylglycerols).</p>
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<p>Characterization of the phycocyanobilin detected in spirulina extracts: (<b>a</b>) the LC-MS spectrum of phycocyanobilin (Compound <b>1</b>, RT = 11.8 min), (<b>b</b>) the MS/MS spectrum of the [M+H]<sup>+</sup> ion of phycocyanobilin, and a (<b>c</b>) schematic representation of the formation of major fragment ions from phycocyanobilin.</p>
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<p>Global metabolic features of the studied dried spirulina powders. (<b>a</b>) The score plot represents the partial least squares discriminant analysis (PLS-DA) of LC-MS data. Ellipses represent clusters (95% confidence regions); A (<b>b</b>) heatmap visualization of 18 metabolites classes after the drying of the spirulina. The red-blue color scale indicates the summed up peaks intensity being higher or lower than the average. Each column indicates a different drying method (FD, freeze drying; SD, sun drying; AD′, air drying at 40 °C; AD″, air drying at 75 °C; IRD′, infrared drying at 40 °C; IRD″, infrared drying at 75 °C; VD′, vacuum drying at 40 °C; VD″, vacuum drying at 75 °C) and each row indicates a different metabolite class (AAs &amp; DPs, amino acids and dipeptides; CARs, carotenoids; CHLs, chlorophylls and derivatives; DGs, diacylglycerols; DGDGs, digalactosyl diacylglycerols; DGMGs, digalactosyl monoacylglycerols; LPCs, lysophosphatidylcholine; LPGs, lysophosphatidylglycerols; MGDGs, monogalactosyl diacylglycerols; MGMGs, monogalactosyl monoacylglycerols; N-comps, other polar nitrogen compounds; PCs, phosphatidylcholines; PEs, phosphatidylethanolamine; PGs, phosphatidylglycerols; Pl-Cers, ceramide phosphoinositols; SQDGs, sulfoquinovosyl diacylglycerols; SQMGs, sulfoquinovosyl monoacylglycerols; TGs, triacylglycerols).</p>
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<p>The HPLC-PAD chromatograms of pigments present in aqueous (<b>a</b>) and ethanolic (<b>b</b>) extracts prepared from spirulina dried using different methods (FD, freeze drying; SD, sun drying; AD′, air drying at 40 °C; AD″, air drying at 75 °C; IRD′, infrared drying at 40 °C; IRD″, infrared drying at 75 °C; VD′, vacuum drying at 40 °C; VD″, vacuum drying at 75 °C) and registered at 350 and 430 nm. The peak numbers correspond to the compound numbers in <a href="#app1-molecules-29-01747" class="html-app">Table S1</a>.</p>
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<p>Changes in the content of phycocyanin and phycocyanobilin in aqueous extracts (<b>a</b>), the main carotenoids and their derivatives in ethanolic extracts (<b>b</b>) prepared from spirulina dried using different methods (FD, freeze drying; SD, sun drying; AD′, air drying at 40 °C; AD″, air drying at 75 °C; IRD′, infrared drying at 40 °C; IRD″, infrared drying at 75 °C; VD′, vacuum drying at 40 °C; VD″, vacuum drying at 75 °C). Data are presented as the mean ± SD (<span class="html-italic">n</span> = 3) of the PAD or the LC-MS peak intensity (10<sup>7</sup>). Values marked with asterisks are significantly different (Dunnett’s <span class="html-italic">t</span> test; <span class="html-italic">p</span> &lt; 0.05) from those of the control sample (FD).</p>
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<p>Mapping of chlorophylls’ degradation pathways and the dynamic variations of chlorophylls and derivatives in the ethanolic extracts prepared from spirulina dried using different methods (FD, freeze drying; SD, sun drying; AD′, air drying at 40 °C; AD″, air drying at 75 °C; IRD′, infrared drying at 40 °C; IRD″, infrared drying at 75 °C; VD′, vacuum drying at 40 °C; VD″, vacuum drying at 75 °C). Data are presented as the mean ± SD (<span class="html-italic">n</span> = 3) of mass spectrometric intensity (10<sup>7</sup>). Values marked with asterisks are significantly different (Dunnett’s <span class="html-italic">t</span> test; <span class="html-italic">p</span> &lt; 0.05) from those of the control sample (FD). The compound numbers correspond to the numbers in <a href="#app1-molecules-29-01747" class="html-app">Table S1</a>.</p>
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<p>Changes in the content of selected lipid classes (TGs, triacylglycerols; DGs, diacylglycerols; SQDGs, sulfoquinovosyl diacylglycerols; SQMGs, sulfoquinovosyl monoacylglycerols; DGDGs, digalactosyl diacylglycerols; DGMGs, digalactosyl monoacylglycerols; MGDGs, monogalactosyl diacylglycerols; MGMGs, monogalactosyl monoacylglycerols; PGs, phosphatidylglycerols; LPGs, lysophosphatidylglycerols; PCs, phosphatidylcholines; LPCs, lysophosphatidylcholine) present in ethanolic extracts prepared from spirulina dried using different methods (FD, freeze drying; SD, sun drying; AD′, air drying at 40 °C; AD″, air drying at 75 °C; IRD′, infrared drying at 40 °C; IRD″, infrared drying at 75 °C; VD′, vacuum drying at 40 °C; VD″, vacuum drying at 75 °C). Data are presented as mean ± SD (<span class="html-italic">n</span> = 3) of mass spectrometric intensity (10<sup>8</sup>). Values marked with asterisks are significantly different (Dunnett’s <span class="html-italic">t</span> test; <span class="html-italic">p</span> &lt; 0.05) from those of the control sample (FD).</p>
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<p>Changes in the contents of amino acids and dipeptides (<b>a</b>) and nucleobases (<b>b</b>) present in aqueous extracts prepared from spirulina dried using different methods (FD, freeze drying; SD, sun drying; AD′, air drying at 40 °C; AD″, air drying at 75 °C; IRD′, infrared drying at 40 °C; IRD″, infrared drying at 75 °C; V′, vacuum drying at 40 °C; V″, vacuum drying at 75 °C). Data are presented as mean ± SD (<span class="html-italic">n</span> = 3) of mass spectrometric intensity (10<sup>8</sup>). Values marked with asterisks are significantly different (Dunnett’s <span class="html-italic">t</span> test; <span class="html-italic">p</span> &lt; 0.05) from those of the control sample (FD).</p>
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21 pages, 2002 KiB  
Review
Potential Therapeutic Targets to Modulate the Endocannabinoid System in Alzheimer’s Disease
by Hina Kanwal, Moris Sangineto, Martina Ciarnelli, Pasqualina Castaldo, Rosanna Villani, Antonino Davide Romano, Gaetano Serviddio and Tommaso Cassano
Int. J. Mol. Sci. 2024, 25(7), 4050; https://doi.org/10.3390/ijms25074050 - 5 Apr 2024
Cited by 1 | Viewed by 1895
Abstract
Alzheimer’s disease (AD), the most common neurodegenerative disease (NDD), is characterized by chronic neuronal cell death through progressive loss of cognitive function. Amyloid beta (Aβ) deposition, neuroinflammation, oxidative stress, and hyperphosphorylated tau proteins are considered the hallmarks of AD pathology. Different therapeutic approaches [...] Read more.
Alzheimer’s disease (AD), the most common neurodegenerative disease (NDD), is characterized by chronic neuronal cell death through progressive loss of cognitive function. Amyloid beta (Aβ) deposition, neuroinflammation, oxidative stress, and hyperphosphorylated tau proteins are considered the hallmarks of AD pathology. Different therapeutic approaches approved by the Food and Drug Administration can only target a single altered pathway instead of various mechanisms that are involved in AD pathology, resulting in limited symptomatic relief and almost no effect in slowing down the disease progression. Growing evidence on modulating the components of the endocannabinoid system (ECS) proclaimed their neuroprotective effects by reducing neurochemical alterations and preventing cellular dysfunction. Recent studies on AD mouse models have reported that the inhibitors of the fatty acid amide hydrolase (FAAH) and monoacylglycerol (MAGL), hydrolytic enzymes for N-arachidonoyl ethanolamine (AEA) and 2-arachidonoylglycerol (2-AG), respectively, might be promising candidates as therapeutical intervention. The FAAH and MAGL inhibitors alone or in combination seem to produce neuroprotection by reversing cognitive deficits along with Aβ-induced neuroinflammation, oxidative responses, and neuronal death, delaying AD progression. Their exact signaling mechanisms need to be elucidated for understanding the brain intrinsic repair mechanism. The aim of this review was to shed light on physiology and pathophysiology of AD and to summarize the experimental data on neuroprotective roles of FAAH and MAGL inhibitors. In this review, we have also included CB1R and CB2R modulators with their diverse roles to modulate ECS mediated responses such as anti-nociceptive, anxiolytic, and anti-inflammatory actions in AD. Future research would provide the directions in understanding the molecular mechanisms and development of new therapeutic interventions for the treatment of AD. Full article
(This article belongs to the Special Issue Neuroinflammatory Mediator in Neurodegenerative Disease)
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<p>ECS retrograde signaling diagram described by using points. (1) Neurotransmitter stimulation derives ECS synthesis in postsynaptic cells. (2) ECS’s binding to CB1R on presynaptic cell. (3) Binding of ECS’s to endocannabinoid receptor results in intracellular cascade events through ion channel modulation. (4) Modulation of ion channels further ceases the release of neurotransmitters. (5) Neurotransmitter concentration in synaptic cleft affects neurotransmission in postsynaptic cell. (6) 2-AG degraded by MAGL to arachidonic acid (AA) and glycerol, while AEA metabolized in postsynaptic cell by FAAH and broken down into AA and ethanolamine (ETA). (7) Microglial CB2R interacts with 2-AG and starts immune responses. (8) Astrocytes of CB1R interact with AEA and start related effects.</p>
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<p>Schematic representation of prospective pathology of AD by considering ECS, summarizing many aspects regarding microglia and astrocyte, their activation on exposure to Aβ plaques. The release of AEA and 2-AG in synaptic cleft stimulates CB1R and CB2R on presynaptic neurons that further inhibit the release of neurotransmitters, such as glutamate and GABA, and cause synaptic dysfunction. Aβ is considered the most causative agent of AD because of its action in microglia and astrocyte activation, which lead to neuronal damage through glutamate-mediated excitotoxicity. Aβ enhances the influx of calcium ions through postsynaptic NMDA receptors or pore-like structure; it also inhibits AChE and increases the Ach level in the synaptic cleft, which further increases postsynaptic calcium influx. This results in downstream signaling pathways related to neuronal excitotoxicity (decrease glutamate). Ethylamine (EtNH<sub>2</sub>), N-acyl phosphatidylethanolamine phospholipase D (NAPE-PDL), Phosphatidylinositol bisphosphate.</p>
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<p>Prospective ways of investigation concerned with different pathological lines for designing potential therapeutic strategies.</p>
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<p>Effects of FAAH inhibitors, MAGL inhibitors, and dual FAAH and MAGL inhibitors at neuronal terminals and their different pharmacological effects.</p>
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16 pages, 1908 KiB  
Article
Hemp Seed Oil Inhibits the Adipogenicity of the Differentiation-Induced Human Mesenchymal Stem Cells through Suppressing the Cannabinoid Type 1 (CB1)
by Albatul S. Almousa, Pandurangan Subash-Babu, Ibrahim O. Alanazi, Ali A. Alshatwi, Huda Alkhalaf, Eman Bahattab, Atheer Alsiyah and Mohammad Alzahrani
Molecules 2024, 29(7), 1568; https://doi.org/10.3390/molecules29071568 - 31 Mar 2024
Viewed by 1690
Abstract
Central and peripheral mechanisms of the endocannabinoid system (ECS) favor energy intake and storage. The ECS, especially cannabidiol (CBD) receptors, controls adipocyte differentiation (hyperplasia) and lipid accumulation (hypertrophy) in adipose tissue. In white adipose tissue, cannabidiol receptor 1 (CB1) stimulation increases lipogenesis and [...] Read more.
Central and peripheral mechanisms of the endocannabinoid system (ECS) favor energy intake and storage. The ECS, especially cannabidiol (CBD) receptors, controls adipocyte differentiation (hyperplasia) and lipid accumulation (hypertrophy) in adipose tissue. In white adipose tissue, cannabidiol receptor 1 (CB1) stimulation increases lipogenesis and inhibits lipolysis; in brown adipose tissue, it decreases mitochondrial thermogenesis and biogenesis. This study compared the availability of phytocannabinoids [CBD and Δ9-tetrahydrocannabinol (THC)] and polyunsaturated fatty acids [omega 3 (ω3) and omega 6 (ω6)] in different hemp seed oils (HSO). The study also examined the effect of HSO on adipocyte lipid accumulation by suppressing cannabinoid receptors in adipogenesis-stimulated human mesenchymal stem cells (hMSCs). Most importantly, Oil-Red-O′ and Nile red tests showed that HSO induced adipogenic hMSC differentiation without differentiation agents. Additionally, HSO-treated cells showed increased peroxisome proliferator-activated receptor gamma (PPARγ) mRNA expression compared to controls (hMSC). HSO reduced PPARγ mRNA expression after differentiation media (DM) treatment. After treatment with HSO, DM-hMSCs had significantly lower CB1 mRNA and protein expressions than normal hMSCs. HSO treatment also decreased transient receptor potential vanilloid 1 (TRPV1), fatty acid amide hydrolase (FAAH), and monoacylglycerol lipase (MGL) mRNAs in hMSC and DM-hMSCs. HSO treatment significantly decreased CB1, CB2, TRPV1, and G-protein-coupled receptor 55 (GPCR55) protein levels in DM-hMSC compared to hMSC in western blot analysis. In this study, HSO initiated adipogenic differentiation in hMSC without DM, but it suppressed CB1 gene and protein expression, potentially decreasing adipocyte lipid accumulation and lipogenic enzymes. Full article
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<p>The IC<sub>50</sub> of hMSC after 72 h incubation with HSO at various concentrations.</p>
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<p>The morphological changes in hMSC after 72 h incubation with CBD, THC, 0.05% HSO, or 0.1% HSO in either Differentiation Media (DM) or Treatment Only (TO) using (<b>a</b>,<b>b</b>) ORO stain, (<b>c</b>,<b>d</b>) fluorescence dye—Nile Red at 50µm scale. (<b>e</b>) Intracellular lipid content represented by ORO density using 100% absolute isopropanol; the mean ± SD are shown; ANOVA as ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>Gene expression. mRNA levels of adipogenic gene (PPARγ and CEBPα) were investigated by quantitative RT-PCR after 72 h of culturing in CBD, THC, 0.05% HSO, or 0.1% HSO treatments with/without DM; the mean ± SD are shown compared to the DM control; ANOVA as * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>Gene expression. mRNA levels of ECS genes (CB1, CB2, TRPV1, GPCR55, FAAH, and MGL) were investigated by quantitative RT-PCR after 72 h of culturing with CBD, THC, 0.05% HSO, or 0.1% HSO treatment with/out DM; the mean ± SD are shown; ANOVA compared to hMSC as * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001.</p>
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<p>Western blotting of ECS receptors on hMSCs and treatments with or without DM (<b>a</b>). Densitometry analysis of CB1, CB2, TRPV1, and GPCR55 are shown in (<b>b</b>–<b>e</b>), respectively. The means ± SD are shown; ANOVA as * <span class="html-italic">p</span> ≤ 0.05, ** <span class="html-italic">p</span> ≤ 0.01, *** <span class="html-italic">p</span> ≤ 0.001.</p>
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16 pages, 3041 KiB  
Article
Timeframe Analysis of Novel Synthetic Cannabinoids Effects: A Study on Behavioral Response and Endogenous Cannabinoids Disruption
by Jorge Carlos Pineda Garcia, Ren-Shi Li, Ruri Kikura-Hanajiri, Yoshitaka Tanaka and Yuji Ishii
Int. J. Mol. Sci. 2024, 25(6), 3083; https://doi.org/10.3390/ijms25063083 - 7 Mar 2024
Viewed by 1076
Abstract
This study investigates the impact of SCs consumption by assessing the effects of three novel synthetic cannabinoids (SCs); MDMB-CHMINACA, 5F-ADB-PINACA, and APICA post-drug treatment. SCs are known for their rapid onset (<1 min) and prolonged duration (≥5 h). Therefore, this research aimed to [...] Read more.
This study investigates the impact of SCs consumption by assessing the effects of three novel synthetic cannabinoids (SCs); MDMB-CHMINACA, 5F-ADB-PINACA, and APICA post-drug treatment. SCs are known for their rapid onset (<1 min) and prolonged duration (≥5 h). Therefore, this research aimed to assess behavioral responses and their correlation with endocannabinoids (ECs) accumulation in the hippocampus, and EC’s metabolic enzymes alteration at different timeframes (1-3-5-h) following drug administration. Different extents of locomotive disruption and sustained anxiety-like symptoms were observed throughout all-encompassing timeframes of drug administration. Notably, MDMB-CHMINACA induced significant memory impairment at 1 and 3 h. Elevated levels of anandamide (AEA) and 2-arachidonoyl glycerol (2-AG) were detected 1 h post-MDMB-CHMINACA and 5F-ADB-PINACA administration. Reduced mRNA expression levels of fatty acid amide hydrolase (FAAH), monoacylglycerol lipase (MAGL) (AEA and 2-AG degrading enzymes, respectively), and brain-derived neurotrophic factor (BDNF) occurred at 1 h, with FAAH levels remaining reduced at 3 h. These findings suggest a connection between increased EC content and decreased BDNF expression following SC exposure. Cognitive disruption, particularly motor coordination decline and progressive loss manifested in a time-dependent manner across all the analyzed SCs. Our study highlights the importance of adopting a temporal framework when assessing the effects of SCs. Full article
(This article belongs to the Special Issue New Insight into Cannabinoid Effects 3.0)
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<p>Schematic representation of the chemical structures and substituents of indole/indazole derivatives synthetic cannabinoids; MDMB-CHMINACA, 5F-ADB-PINACA, APICA. The ease of insertion of an additional N atom into the heterocyclic system of the classic synthetic cannabinoid JWH-018 and the archetypal aminoalkylindole-based synthetic cannabinoid MDMB-CHMICA structures along with the presence of a carboxamide group, diverse substituents on both the N-1 atom of the indazole ring, and the carboxamide N atom promote the synthesis of many indazole-3-carboxamide based SCs. They usually comprise an indazole-carboxamides or N-1-adamantyl indole-carboxamide at the 3-position. Adapted from [<a href="#B29-ijms-25-03083" class="html-bibr">29</a>].</p>
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<p>Schematic diagram of behavioral studies. (<b>A</b>) Outline of the exploration trial and anxiety assessment configuration. (<b>B</b>) Layout of the recognition trial arena tests. Adapted from [<a href="#B39-ijms-25-03083" class="html-bibr">39</a>].</p>
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<p>Effects of 1 mg/kg systemic administration of MDMB-CHMINACA, APICA, and 5F-ADB-PINACA on the (<b>A</b>) total distance traveled (cm) and (<b>B</b>) velocity (cm/s) during the open field test in mice. Drugs were administered 1 h, 3 h, and 5 h prior to the test. All drug-treated groups were compared with the respective vehicle-treated group (control). Each bar represents the mean ± SEM of 10 mice for each treatment. Statistical analysis was performed by two-way ANOVA followed by Tukey’s post hoc for multiple comparison among data set. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001, indicate a significant difference compared to controls, and + <span class="html-italic">p</span> &lt; 0.05, and +++ <span class="html-italic">p</span> &lt; 0.001 versus 1 h vehicle treated group.</p>
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<p>Effect of 1 mg/kg systemic administration of MDMB-CHMINACA, APICA, and 5F-ADB-PINACA on the anxiety-like behavior of mice. Anxiety-like behavior was measured as the amount of time (s) mice spent in the INNER area vs. the OUTER area of the arena during the OFT. Longer periods in the OUTER area reflect anxiety-like behavior. All drug-treated groups’ INNER fragments were compared to the INNER fragment of the vehicle-treated groups (control). Each bar represents the mean ± SEM of 10 mice for each treatment. Statistical analysis was performed by two-way ANOVA followed by Bonferroni’s post hoc for multiple comparison among data set * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001, indicate significant differences compared to control. ns, not significant.</p>
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<p>Effects of 1 mg/kg systemic administration of MDMB-CHMINACA, APICA, and 5F-ADB-PINACA on the recognition index for the novel object recognition test in mice. Trial is based on the index (%) of exploration and consequent preferences of mice toward a novel object compared to a previously familiarized object. Values closer to one indicate no memory and learning impairment and values below 0.5 suggest strong memory impairment. All drug treatments were administered intraperitoneally. Each bar represents the mean ± SEM of 10 mice for each treatment. Statistical analysis was performed by two-way ANOVA followed by Tukey’s post hoc for multiple comparison among data set. ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001 indicate significant differences compared to control (vehicle).</p>
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<p>Effect of MDMB-CHMINACA, APICA, and 5F-ADB-PINACA on the mRNA expression levels of brain-derived neurotrophic factor (BDNF). Mice were administered 1 mg/kg of either MDMB-CHMINACA, APICA, 5F-DB-PINACA, or vehicle (control) at 1 h, 3 h, and 5 h, as shown. Their hippocampi were collected after treatment. The indicated/relative levels of mRNA were analyzed via quantitative reverse transcription real-time polymerase chain reaction (qRT-PCR) and normalized to those of β-actin. The bars represent the mean ± SEM of 5 mice. Statistical analysis was performed by two-way ANOVA followed by Tukey’s post hoc for multiple comparison among data set. ** <span class="html-italic">p</span> &lt; 0.01 indicates significant difference compared to control.</p>
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<p>Quantification of the endogenous cannabinoids (<b>A</b>) AEA and (<b>B</b>) 2-AG content in hippocampal tissue of male C57BL/6J mice 1, 3, and 5 h after synthetic cannabinoid treatment. Each mouse was administered a 1 mg/kg dose of MDMB-CHMINACA, APICA, 5F-ADB-PINACA, or vehicle (control) as shown. Subsequently, endocannabinoid content was quantified via UPLC-TOF/MS. Each drug treatment was compared to its control (vehicle). Each bar represents the mean ± SEM of 5 mice for each treatment. Statistical analysis was performed by two-way ANOVA followed by Tukey’s post hoc for multiple comparison among data set. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001, indicate significant differences compared to control.</p>
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<p>Effect of MDMB-CHMINACA, APICA, and 5F-ADB-PINACA on the mRNA expression of (<b>A</b>) AEA-degrading enzyme (FAAH) and (<b>B</b>) 2-AG degrading enzyme (MAGL). Mice were administered 1 mg/kg of MDMB-CHMINACA, APICA, 5F-DB-PINACA, or vehicle (control) at 1, 3, and 5 h, as shown. Their hippocampi were collected after treatment. The indicated/relative levels of mRNA were analyzed via quantitative reverse transcription real-time polymerase chain reaction (qRT-PCR) and normalized to those of β-actin. The bars represent the mean ± SEM of 5 mice. Statistical analysis was performed by two-way ANOVA followed by Tukey’s post hoc for multiple comparison among data set. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01, indicate significant differences compared to control.</p>
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13 pages, 2972 KiB  
Article
Influences of Cosolvents and Antifreeze Additives Derived from Glycerol through Esterification on Fuel Properties of Biodiesel
by Cherng-Yuan Lin and Yun-Chih Chen
Processes 2024, 12(2), 419; https://doi.org/10.3390/pr12020419 - 19 Feb 2024
Viewed by 867
Abstract
Bioglycerol is a major by-product of the biodiesel manufacturing process. Various chemical derivatives from bioglycerol would enhance its economic value. An antifreeze of glycerine acetate was chemically converted from an esterification reaction of bioglycerol with acetic acid. The photocatalyst TiO2/SO4 [...] Read more.
Bioglycerol is a major by-product of the biodiesel manufacturing process. Various chemical derivatives from bioglycerol would enhance its economic value. An antifreeze of glycerine acetate was chemically converted from an esterification reaction of bioglycerol with acetic acid. The photocatalyst TiO2/SO42− irradiated with ultraviolet light assisted the chemical conversion reaction. The molar ratio of acetic acid/bioglycerol was varied to obtain the optimum composition of the derived antifreeze product. Different cosolvents were considered to enhance the homogeneous extent between the antifreeze of glycerine acetate and biodiesel, and thus, the anti-freezing effect. The cosolvent/glycerine acetate, at various volumetric ratios from 0 to 0.25 vol.%, was blended into a commercial biodiesel. After 5 vol.% antifreeze of the glycerine acetate/cosolvent mixture of the biodiesel was added to the commercial biodiesel, the fuel properties of the biodiesel were analyzed. The effects of the cosolvent types and the blended volumetric ratio of cosolvent to the antifreeze of glycerine acetate on the fuel properties of the commercial biodiesel were analyzed to determine the optimum cosolvent type and volumetric composition of the cosolvent/glycerine acetate. The experimental results show that the antifreeze of glycerine acetate produced from the reaction of acetic acid/glycerol at a molar ratio equal to 8 under UV-light irradiation appeared to have the lowest freezing point. The UV-light irradiation on the TiO2/SO42− catalyst also caused higher triacylglycerol (TAG) and diacylglycerol (DAG) and lower monoacylglycerol (MAG) formation. In addition, the low-temperature fluidity was the most excellent when the volumetric percentage of the methanol/glycerine acetate was equal to 0.25 vol.%, at which the cold filter plugging point (CFPP) of the biodiesel was reduced from 3 °C for the neat biodiesel to −2 °C for the biodiesel blended with the mixture. In contrast, the effect of adding the antifreeze on the CFPP of the biodiesel was inferior; it was reduced from 3 °C for the neat biodiesel to 1 °C for the biodiesel when butanol cosolvent was added. The increase in the volumetric ratio of cosolvent/antifreeze increased the acid value and cetane index while it decreased the kinematic viscosity and CFPP. The heating value was observed to increase for butanol while decreasing for methanol with the increase in the volumetric ratio of cosolvent/antifreeze. In comparison to butanol, the cosolvent methanol caused a higher cetane index and acid value but a lower kinematic viscosity, heating value, and CFPP of the blended commercial biodiesel. Full article
(This article belongs to the Section Environmental and Green Processes)
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<p>Effects of irradiation of ultraviolet (UV) light and acetic acid/glycerol molar ratio on the product’s freezing point (°C).</p>
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<p>Comparison of product compositions and conversion ratio for the photocatalyst with and without UV-light irradiation.</p>
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<p>Effects of cosolvent and volumetric ratio of cosolvent to glycerine acetate on kinematic viscosity of blended biodiesel.</p>
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<p>Effects of cosolvent and volumetric ratio of cosolvent to glycerine acetate on the heating value of the blended biodiesel.</p>
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<p>Effects of cosolvent and volumetric ratio of cosolvent to glycerine acetate on the acid value of the blended biodiesel.</p>
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<p>Effects of cosolvent and volumetric ratio of cosolvent to glycerine acetate on cetane index of the blended biodiesel.</p>
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<p>Effects of cosolvent and volumetric ratio of cosolvent to glycerine acetate on CFPP of the blended biodiesel.</p>
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18 pages, 3084 KiB  
Article
The Impact of 90 Parkinson’s Disease-Risk Single Nucleotide Polymorphisms on Urinary Bis(monoacylglycerol)phosphate Levels in the Prodromal and PD Cohorts
by Shuai Fang, Priscilla Ann Hweek Lee, Zejian Wang and Bo Zhao
Int. J. Mol. Sci. 2024, 25(4), 2286; https://doi.org/10.3390/ijms25042286 - 14 Feb 2024
Viewed by 1352
Abstract
Parkinson’s disease (PD) is a common neurodegenerative disorder with a prolonged prodromal phase. Higher urinary bis(monoacylglycerol)phosphate (BMP) levels associate with LRRK2 (leucine-rich repeat kinase 2) and GBA1 (glucocerebrosidase) mutations, and are considered as potential noninvasive biomarkers for predicting those mutations and PD progression. [...] Read more.
Parkinson’s disease (PD) is a common neurodegenerative disorder with a prolonged prodromal phase. Higher urinary bis(monoacylglycerol)phosphate (BMP) levels associate with LRRK2 (leucine-rich repeat kinase 2) and GBA1 (glucocerebrosidase) mutations, and are considered as potential noninvasive biomarkers for predicting those mutations and PD progression. However, their reliability has been questioned, with inadequately investigated genetics, cohorts, and population. In this study, multiple statistical hypothesis tests were employed on urinary BMP levels and sequences of 90 PD-risk single nucleotide polymorphisms (SNPs) from Parkinson’s Progression Markers Institution (PPMI) participants. Those SNPs were categorized into four groups based on their impact on BMP levels in various cohorts. Variants rs34637584 G/A and rs34637584 A/A (LRRK2 G2019S) were identified as the most relevant on increasing urinary BMP levels in the PD cohort. Meanwhile, rs76763715 T/T (GBA1) was the primary factor elevating BMP levels in the prodromal cohort compared to its T/C and C/C variants (N370S) and the PD cohort. Proteomics analysis indicated the changed transport pathways may be the reasons for elevated BMP levels in prodromal patients. Our findings demonstrated that higher urinary BMP levels alone were not reliable biomarkers for PD progression or gene mutations but might serve as supplementary indicators for early diagnosis and treatment. Full article
(This article belongs to the Special Issue Understanding Parkinson's Disease)
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<p>The three cohorts of Parkinson’s disease with similar characteristics had different urinary BMP levels. (<b>A</b>,<b>B</b>) Age homogeneity analysis among cohorts and sex showed no age differences. The age numbers of participants were grouped by cohorts (<b>A</b>) or sex (<b>B</b>) after Box–Cox transformation and then Levene’s test and the F-test within one-way ANOVA were employed to validate the assumption of homogeneity of variances. (<b>C</b>) Sex-related urinary BMP analysis within each cohort showed no sex differences. The data of urinary BMP levels in each cohort underwent Box–Cox transformation initially and were then examined using appropriate statistical tests such as <span class="html-italic">t</span>-tests and Mann–Whitney U (M–W) tests, contingent on the adherence of transformed data to normality assumptions. (<b>D</b>) Cohort-based urinary BMP analysis showed higher urinary BMP levels were found in the prodromal and PD cohort than in the healthy control, and the BMP levels were higher in the prodromal than in the PD cohort. The box plots and strip plots showed the aggregate and individual data of the three urinary BMP levels within each cohort. Significant statistical markers were annotated according to <span class="html-italic">p</span>-values calculated by the Mann–Whitney U ‘two-sided’ test after Box–Cox transformation of BMP levels. The threshold for significance in pairwise comparisons adhered to Bonferroni correction was α = 0.016. Note: ns—non-significant; ****—<span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>The heatmap illustrates the significance of <span class="html-italic">p</span>-values across various variants of each SNP within each cohort. The <span class="html-italic">p</span>-values were firstly computed using a M–W test under the ‘less’ hypotheses, and those with <span class="html-italic">p</span> ≤ 0.05 indicated significant higher BMP levels in the latter variant carriers than in the former variant carriers. Then, the M–W test under the ‘greater’ hypotheses was taken oppositely to compute the <span class="html-italic">p</span>-values for decreasing BMP level in the former compared to the latter. All <span class="html-italic">p</span>-values were subjected to Bonferroni correction for adjustment. The heatmap adopts adjusted <span class="html-italic">p</span>-values instead of an adjusted significance level (α = 0.0167 for SNPs with 3 variants and α = 0.05 for SNPs with 2 variants) to better visualize the significance of SNPs with varying numbers of variants in a single figure. The heatmap blocks representing the significant <span class="html-italic">p</span>-values corresponding to the ‘less’ and ‘greater’ hypotheses were colored in gradient red (indicating a significant increase) and green (significant decrease), respectively. The colored blocks under different hypotheses were then integrated into a unified heatmap for intuitive representation. The nearest gene list referred to the publication by Nall et al., with a protein mutation site displayed following the gene name when the SNP mutation would result in a missense variant. Note: HC—healthy controls; PR—the prodromal cohort; PD—the PD cohort; V0—the non-mutated homozygous variant; V1—the mutated heterozygous variant; V2—the mutated homozygous variant; ns—non-significant; no data—comparison was not feasible due to one or both groups having fewer than 3 samples.</p>
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<p>Influence of rs34637584 (LRRK2) variants on urinary BMP levels in the PR and PD cohorts. (<b>A</b>) Random forest regression analysis identified rs34637584 (LRRK2) as the primary SNP whose variants account for urinary BMP levels in the PD cohort. To calculate the weighted importance values of 90 PD-risk SNPs, the mutation numbers of 90 SNPs were used as independent variables and the value of one of the three BMP levels was used as one continuous dependent variable. The inherent algorithm of random forest regression calculated their importance scores, and then the top 10 SNPs were identified. (<b>B</b>) The rs34637584 (LRRK2) variants increased the three urinary BMP levels in each cohort in the order of G/G &lt; G/A &lt; A/A. Participants of each cohort were grouped by the variant they were carrying, and their BMP levels after Box–Cox transformation were subjected to comparison using the M–W test with the ‘less’ hypotheses when the number of participants in both groups were at least 3. (<b>C</b>) The variants rs34637584 <sup>G/A</sup> and rs34637584 <sup>A/A</sup> (LRRK2 G2019S) increased urinary BMP levels in the PD cohort, and the levels in the PD cohort with rs34637584 <sup>G/G</sup> were not affected compared to HC (the urinary BMP levels of HC total were treated as standard baselines). Participants were grouped as indicated, pairwise comparisons of BMP levels were conducted using M–W test with ‘two-sided’ hypotheses. All the computed <span class="html-italic">p</span>-values were adjusted with Bonferroni correction. Note: HC—healthy controls; PR—the prodromal cohort; PD—the PD cohort; V0—the non-mutated homozygous variant; V1—the mutated heterozygous variant; V2—the mutated homozygous variant; ns—<span class="html-italic">p</span> &gt; 0.05; *—<span class="html-italic">p</span> &lt; 0.05; **—0.05 &lt; <span class="html-italic">p</span> &lt; 0.001; ***—0.0001 &lt; <span class="html-italic">p</span> &lt; 0.001; ****—<span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Influence of rs76763715 (GBA1) variants on urinary BMP levels in PR and PD cohorts. (<b>A</b>) Random forest regression analysis identified rs76763715 (GBA1) as the primary SNP whose variants account for urinary BMP levels in the PR cohort. With the mutation numbers of 90 PD-risk SNPs as independent variables and the level of one of the three BMPs as a continuous dependent variable in the PR cohort, the inherent algorithm of random forest regression calculated the importance scores of those SNPs, and then the top 10 were identified. (<b>B</b>) The V0 variant rs76763715 <sup>T/T</sup> (GBA1) unexpectedly increased all three urinary BMP levels in the PR cohort, and the PD cohort was not affected by those variants. Participants of each cohort were grouped by the rs76763715 variant they were carrying, and their BMP levels after Box–Cox transformation were compared by M–W test with the ‘greater’ hypotheses when the numbers of participants in both groups were at least 3. (<b>C</b>) The variant rs76763715 <sup>T/T</sup> (GBA1) increased the urinary BMP levels in the PR cohort, and the levels of the PR cohort with variants rs76763715 <sup>T/C</sup> and rs76763715 <sup>C/C</sup> (GBA1 N370S) were comparable to those in the PD cohort (the urinary BMP levels of PD total were treated as standard baselines). Participants were grouped as indicated and their BMP levels were compared pairwise by M–W test with ‘two-sided’ hypotheses. All computed <span class="html-italic">p</span>-values were adjusted with Bonferroni correction. Note: HC—healthy controls; PR—the prodromal cohort; PD—the PD cohort; V0—the non-mutated homozygous variant; V1—the mutated heterozygous variant; V2—the mutated homozygous variant; ns—<span class="html-italic">p</span> &gt; 0.05; ****—<span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>GO and KEGG pathway-enrichment network of (<b>A</b>) the nearest genes of SNPs with mutations that increased the urinary BMP levels, (<b>B</b>) the nearest genes of SNPs with mutations that decreased the urinary BMP levels, and (<b>C</b>) the gene encoding proteins with significantly more than 2-fold or less than 0.5-fold change in abundance ratio, as determined by TMT proteomics analysis between PR and PD patients carrying the rs76763715 <sup>T/T</sup> (GBA1) variant. The network was visualized using Cytoscape [<a href="#B40-ijms-25-02286" class="html-bibr">40</a>], where each node represented an enriched term. Nodes were colored by their cluster ID, with nodes of the same cluster ID typically located in close proximity. To depict the relationships between terms more effectively, a subset of enriched terms was selected and displayed as a network plot, where terms with a similarity of &gt;0.3 were connected by edges. The terms with the best <span class="html-italic">p</span>-values from each of the 20 clusters were selected, with the constraint of limiting each cluster to no more than 15 terms and a total of 250 terms overall.</p>
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17 pages, 2365 KiB  
Article
Lipase-Catalyzed Synthesis of Structured Fatty Acids Enriched with Medium and Long-Chain n-3 Fatty Acids via Solvent-Free Transesterification of Skipjack Tuna Eyeball Oil and Commercial Butterfat
by Khurshid Ahmed Baloch, Umesh Patil, Khamtorn Pudtikajorn, Ebtihal Khojah, Mohammad Fikry and Soottawat Benjakul
Foods 2024, 13(2), 347; https://doi.org/10.3390/foods13020347 - 22 Jan 2024
Cited by 1 | Viewed by 1757
Abstract
Human milk lipids generally have the maximum long-chain fatty acids at the sn-2 position of the glycerol backbone. This positioning makes them more digestible than long-chain fatty acids located at the sn-1, 3 positions. These unique fatty acid distributions are not found elsewhere [...] Read more.
Human milk lipids generally have the maximum long-chain fatty acids at the sn-2 position of the glycerol backbone. This positioning makes them more digestible than long-chain fatty acids located at the sn-1, 3 positions. These unique fatty acid distributions are not found elsewhere in nature. When lactation is insufficient, infant formula milk has been used as a substitute. However, the distribution of most fatty acids ininfant formula milk is still different from human milk. Therefore, structured lipids were produced by the redistribution of medium-chain fatty acids from commercial butterfat (CBF) and n-3 and n-6 long-chain fatty acids from skipjack tuna eyeball oil (STEO). Redistribution was carried out via transesterification facilitated by Asian seabass liver lipase (ASL-L). Under the optimum conditions including a CBF/STEO ratio (3:1), transesterification time (60 h), and ASL-L unit (250 U), the newly formed modified-STEO (M-STEO) contained 93.56% triacylglycerol (TAG), 0.31% diacylglycerol (DAG), and 0.02% monoacylglycerol (MAG). The incorporated medium-chain fatty acids accounted for 18.2% of M-STEO, whereas ASL-L could incorporate 40% of n-3 fatty acids and 25–30% palmitic acid in M-STEO. The 1H NMRA and 13CNMR results revealed that the major saturated fatty acid (palmitic acid) and unsaturated fatty acids (DHA and EPA) were distributed at the sn-2 position of the TAGs in M-STEO. Thus, M-STEO enriched with medium-chain fatty acids and n-3 fatty acids positioned at the sn-2 position of TAGs can be a potential substitute for human milk fatty acids in infant formula milk (IFM). Full article
(This article belongs to the Section Foods of Marine Origin)
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<p>Effect of reaction time on the transesterification of commercial butterfat and STEO for the incorporation of (<b>a</b>) n-3 fatty acids, (<b>b</b>) medium-chain fatty acids, (<b>c</b>) saturated fatty acids, and (<b>d</b>) monounsaturated fatty acids in M-STEO. Bars represent the standard deviation (n = 3). Lowercase letters on the bars indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of various ASL-L units on the transesterification of commercial butterfat and STEO for the incorporation of (<b>a</b>) n-3 fatty acids, (<b>b</b>) medium-chain fatty acids, (<b>c</b>) saturated fatty acids, and (<b>d</b>) monounsaturated fatty acids in M-STEO. Bars represent the standard deviation (n = 3). Lowercase letters on the bars indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of CBF/STEO ratios on the transesterification of commercial butterfat and STEO for the incorporation of (<b>a</b>) n-3 fatty acids, (<b>b</b>) medium-chain fatty acids, (<b>c</b>) saturated fatty acids, and (<b>d</b>) monounsaturated fatty acids in M-STEO. Bars represent the standard deviation (n = 3). Lowercase letters on the bars indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Lipid profile of butterfat, STEO, and M-STEO analyzed by TLC–FID. Bars represent the standard deviation (n = 3). Lowercase letters on the bars within the same type of lipid indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p><sup>1</sup>H NMR spectrum of STEO (red lines), CBF (green lines), and M-STEO (black lines) after ASL-L-based transesterification of STEO and CBF under optimum conditions. The expanded inset shows the detailed regions of interest.</p>
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<p><sup>13</sup>C NMR spectrum of STEO (red lines), CBF (green lines), and M-STEO (black lines) after ASL-L-based optimum transesterification. The expanded inset spectra show the details of the region of interest. The expanded peaks represent the following (<b>a</b>) carbonyl and carboxylic carbons of SFAs and UFAs at sn-1,3, (<b>b</b>) vinylic and allylic carbon resonances of saturated and unsaturated fatty acids, (<b>c</b>) the glycerol backbone of the fatty acids, (<b>d</b>–<b>f</b>) the aliphatic carbon resonances of saturated, unsaturated carbons and carbons from free fatty acids as well.</p>
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15 pages, 5916 KiB  
Article
Function of Presynaptic Inhibitory Cannabinoid CB1 Receptors in Spontaneously Hypertensive Rats and Its Modification by Enhanced Endocannabinoid Tone
by Marek Toczek, Eberhard Schlicker, Patryk Remiszewski and Barbara Malinowska
Int. J. Mol. Sci. 2024, 25(2), 858; https://doi.org/10.3390/ijms25020858 - 10 Jan 2024
Viewed by 1148
Abstract
We studied whether the function of presynaptic inhibitory cannabinoid CB1 receptors on the sympathetic nerve fibres innervating resistance vessels is increased in spontaneously hypertensive rats (SHR) like in deoxycorticosterone (DOCA)–salt hypertension. An increase in diastolic blood pressure (DBP) was induced by electrical [...] Read more.
We studied whether the function of presynaptic inhibitory cannabinoid CB1 receptors on the sympathetic nerve fibres innervating resistance vessels is increased in spontaneously hypertensive rats (SHR) like in deoxycorticosterone (DOCA)–salt hypertension. An increase in diastolic blood pressure (DBP) was induced by electrical stimulation of the preganglionic sympathetic neurons or by phenylephrine injection in pithed SHR and normotensive Wistar–Kyoto rats (WKY). The electrically (but not the phenylephrine) induced increase in DBP was inhibited by the cannabinoid receptor agonist CP55940, similarly in both groups, and by the endocannabinoid reuptake inhibitor AM404 in SHR only. The effect of CP55940 was abolished/reduced by the CB1 receptor antagonist AM251 (in both groups) and in WKY by endocannabinoid degradation blockade, i.e., the monoacylglycerol lipase (MAGL) inhibitor MJN110 and the dual fatty acid amide hydrolase (FAAH)/MAGL inhibitor JZL195 but not the FAAH inhibitor URB597. MJN110 and JZL195 tended to enhance the effect of CP55940 in SHR. In conclusion, the function of presynaptic inhibitory CB1 receptors depends on the hypertension model. Although no differences occurred between SHR and WKY under basal experimental conditions, the CB1 receptor function was better preserved in SHR when the endocannabinoid tone was increased by the inhibition of MAGL or the endocannabinoid transporter. Full article
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Graphical abstract

Graphical abstract
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<p>Original traces from representative experiments in which the influence of the cannabinoid receptor agonist CP55940 on the increase in diastolic blood pressure (DBP) induced by electrical stimulation (panels (<b>A</b>–<b>D</b>)) or by injection of phenylephrine (0.01 μmol/kg; panels (<b>E</b>,<b>F</b>)) in normotensive control Wistar–Kyoto rats (WKY) and spontaneously hypertensive rats (SHR) was studied. DBP was stimulated four times (S<sub>1</sub>–S<sub>4</sub>) at intervals of 7 min. For electrical stimulation of the preganglionic sympathetic nerve fibres, five pulses (0.75 Hz, 1 ms, 50 V) were administered. Increasing doses of CP55940 (0.01, 0.1 and 1 μmol/kg) or its vehicle (veh) were given 5 min before S<sub>2</sub>, S<sub>3</sub> and S<sub>4</sub>. AM251 (3 μmol/kg; panels (<b>C</b>,<b>D</b>)) or its vehicle (panels (<b>A</b>,<b>B</b>,<b>E</b>,<b>F</b>)) was administered 10 min before S<sub>1</sub>. Each rat was injected with pancuronium (0.8 µmol/kg) 5 min before S<sub>1</sub>.</p>
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<p>Panel (<b>A</b>): Influence of the cannabinoid receptor agonist CP55940 on the electrically (0.75 Hz, 1 ms, 50 V, 5 pulses) induced increase in diastolic blood pressure (DBP) in pithed and vagotomised spontaneously hypertensive rats (SHR) and normotensive Wistar–Kyoto rats (WKY). Panel (<b>B</b>): Effects of CP55940 in the presence of the CB<sub>1</sub> receptor antagonist AM251. Panel (<b>C</b>): Effect of CP55940 on the phenylephrine (0.01 μmol/kg)-induced increase in DBP. Increasing doses of CP55940 (0.01, 0.1 and 1 μmol/kg) or its vehicle (veh) were given 5 min before S<sub>2</sub>, S<sub>3</sub> and S<sub>4</sub>. AM251 (3 μmol/kg) or its vehicle was administered 10 min before S<sub>1</sub>. Each rat was injected with pancuronium (0.8 µmol/kg) 5 min before S<sub>1</sub>. Means ± SEM of n for panels (<b>A</b>–<b>C</b>), respectively: WKY + veh: <span class="html-italic">n</span> = 5, 5, and 6; for WKY + CP55940: <span class="html-italic">n</span> = 7, 8, and 7, for SHR + veh: <span class="html-italic">n</span> = 6, 5, and 7, and for SHR + CP55940: <span class="html-italic">n</span> = 7, 7, and 7; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. respective group with vehicle for CP55940.</p>
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<p>Increases in diastolic blood pressure (DBP) during the first stimulation (S<sub>1</sub>) induced electrically (0.75 Hz, 1 ms, 50 V, 5 pulses) or by phenylephrine (0.01 μmol/kg) in pithed and vagotomised normotensive Wistar–Kyoto rats (WKY; panel (<b>A</b>)) and spontaneously hypertensive rats (SHR; panel (<b>B</b>)). Each rat was injected with pancuronium (0.8 µmol/kg) 5 min before S<sub>1</sub>. Experiments were performed in the presence of the CB<sub>1</sub> receptor antagonist AM251 (3 μmol/kg), the fatty acid amide hydrolase (FAAH) inhibitor URB597 (9 μmol/kg; i.p.), the monoacylglycerol lipase (MAGL) inhibitor MJN110 (3 μmol/kg; i.p.) and the dual FAAH/MAGL inhibitor JZL195 (46 μmol/kg; i.p.) or their respective vehicle (veh). Means ± SEM of <span class="html-italic">n</span> = 3–25; <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 vs. the respective value in normotensive WKY group; <sup>&amp;</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.01 vs. the respective control group without antagonist or inhibitor or vehicle for inhibitor (white columns).</p>
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<p>Influence of the fatty acid amide hydrolase (FAAH) inhibitor URB597 (9 μmol/kg, i.p.; panels (<b>A</b>,<b>D</b>,<b>E</b>)), the monoacylglycerol lipase (MAGL) inhibitor MJN110 (3 μmol/kg, i.p.; panels (<b>B</b>,<b>D</b>,<b>E</b>)) and the dual FAAH/MAGL inhibitor JZL195 (46 μmol/kg, i.p.; panels (<b>C</b>–<b>E</b>)) on the effect of CP55940 on the electrically induced increase in diastolic blood pressure (DBP) in pithed and vagotomised spontaneously hypertensive rats (SHR) and normotensive Wistar–Kyoto rats (WKY). Increasing doses of CP55940 (0.01, 0.1 and 1 μmol/kg) or its vehicle (veh) were given i.v. 5 min before S<sub>2</sub>, S<sub>3</sub> and S<sub>4</sub>. Each rat was injected with pancuronium (0.8 µmol/kg; i.v.) 5 min before S<sub>1</sub>. Means ± SEM of n for panels (<b>A</b>–<b>C</b>), respectively: WKY + veh: <span class="html-italic">n</span> = 6, 5, and 10; for WKY + CP55940: <span class="html-italic">n</span> = 6, 5, and 7, for SHR + veh: <span class="html-italic">n</span> = 4, 5, and 10, and for SHR + CP55940: <span class="html-italic">n</span> = 5, 4, and 8; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. respective group with vehicle for CP55940 (control); <sup>&amp;</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>&amp;&amp;&amp;</sup> <span class="html-italic">p</span> &lt; 0.001 vs. respective group without inhibitors (white columns); <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01 vs. respective value in normotensive WKY group.</p>
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<p>Influence of the endocannabinoid membrane transporter (EMT) inhibitor AM404 on the electrically (0.75 Hz, 1 ms, 50 V, 5 pulses) induced increase in diastolic blood pressure (DBP) in pithed and vagotomised spontaneously hypertensive rats (SHR) and normotensive Wistar–Kyoto rats (WKY). AM404 1 and 3 µmol/kg (i.v.) was given 5 min before S<sub>2</sub> and S<sub>3</sub>, respectively; controls received vehicle instead. Each rat was injected with pancuronium (0.8 µmol/kg) 5 min before S<sub>1</sub>. The values are expressed as % of the first stimulation (S<sub>1</sub>; panel (<b>A</b>)) or as % of vehicle for AM404 control (panel (<b>B</b>)). Means ± SEM of <span class="html-italic">n</span> = 6 for WKY + veh, <span class="html-italic">n</span> = 5 for WKY + AM404, <span class="html-italic">n</span> = 6 for SHR + veh, and <span class="html-italic">n</span> = 6 for SHR + AM404; ** <span class="html-italic">p</span> &lt; 0.01 vs. respective group with vehicle for AM404; <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. respective normotensive WKY group.</p>
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<p>Experimental protocol used to examine the function of presynaptic CB<sub>1</sub> receptors in pithed and vagotomised spontaneously hypertensive rats (SHR) and their normotensive control Wistar–Kyoto rats (WKY). Increases in diastolic blood pressure (DBP) were evoked four times (S<sub>1</sub>–S<sub>4</sub>) at intervals of 7 min by electrical stimulation (0.75 Hz, 1 ms, 50 V, 5 pulses) of the preganglionic sympathetic nerve fibres or by injection of the α<sub>1</sub>-adrenoreceptor agonist phenylephrine (0.01 μmol/kg; i.v.). Each animal received pancuronium (0.8 µmol/kg; i.v.) 5 min before S<sub>1</sub>. Increasing doses of the cannabinoid receptor agonist CP55940 (0.01, 0.1 and 1 µmol/kg; i.v.) or the endocannabinoid transport inhibitor AM404 (1 and 3 µmol/kg; i.v.) or their vehicles were given 5 min before subsequent stimulations (except for S<sub>1</sub>). The cannabinoid CB<sub>1</sub> receptor antagonist AM251 (3 μmol/kg; i.v.) or its vehicle was injected 10 min before S<sub>1</sub>. The fatty acid amide hydrolase (FAAH) inhibitor URB597 (9 μmol/kg; i.p.), the monoacylglycerol lipase (MAGL) inhibitor MJN110 (3 μmol/kg; i.p.) and the dual FAAH/MAGL inhibitor JZL195 (46 μmol/kg; i.p.) or their respective vehicles were given 35, 60 and 60 min before S<sub>1</sub>, respectively. The numbers on the axis refer to the time intervals (in minutes) elapsing between two subsequent procedures (marked by arrows).</p>
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14 pages, 919 KiB  
Review
Lipids as Emerging Biomarkers in Neurodegenerative Diseases
by Justin Wei, Li Chin Wong and Sebastian Boland
Int. J. Mol. Sci. 2024, 25(1), 131; https://doi.org/10.3390/ijms25010131 - 21 Dec 2023
Cited by 5 | Viewed by 3111
Abstract
Biomarkers are molecules that can be used to observe changes in an individual’s biochemical or medical status and provide information to aid diagnosis or treatment decisions. Dysregulation in lipid metabolism in the brain is a major risk factor for many neurodegenerative disorders, including [...] Read more.
Biomarkers are molecules that can be used to observe changes in an individual’s biochemical or medical status and provide information to aid diagnosis or treatment decisions. Dysregulation in lipid metabolism in the brain is a major risk factor for many neurodegenerative disorders, including frontotemporal dementia, Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. Thus, there is a growing interest in using lipids as biomarkers in neurodegenerative diseases, with the anionic phospholipid bis(monoacylglycerol)phosphate and (glyco-)sphingolipids being the most promising lipid classes thus far. In this review, we provide a general overview of lipid biology, provide examples of abnormal lysosomal lipid metabolism in neurodegenerative diseases, and discuss how these insights might offer novel and promising opportunities in biomarker development and therapeutic discovery. Finally, we discuss the challenges and opportunities of lipid biomarkers and biomarker panels in diagnosis, prognosis, and/or treatment response in the clinic. Full article
(This article belongs to the Collection Feature Papers in Molecular Neurobiology)
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Figure 1
<p>Lipid classes and their corresponding lipid species. (<b>A</b>) Lipids are broadly categorized into neutral lipids (panel <b>top left</b>), sphingolipids (panel <b>bottom left</b>), and glycerophospholipids (panel <b>right</b>). (<b>B</b>) Lipidomics is the fastest growing technique with an average increase in publication output by over 20% per year (since 2017) according to a “lipidomics” key word search in PubMed.</p>
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<p>Model of lysosomal lipid degradation. (<b>A</b>) Under normal circumstances, cationic lysosomal lipid-binding proteins and respective hydrolases are electrostatically attracted to the negatively charged luminal surface of BMP-rich ILVs. BMP serves as a critical constituent of the limiting membrane and the luminal leaflet of intraluminal vesicles (ILVs) and provides a platform for adequate, sequential (indicated by arrows) lipid catabolism [<a href="#B44-ijms-25-00131" class="html-bibr">44</a>,<a href="#B45-ijms-25-00131" class="html-bibr">45</a>]. The end standing sugar moieties of GSLs/GGs are removed by acid glycosidases/hydrolases in a sequential manner and might require the assistance of “helper” proteins such as saposins or GM2-activator protein. (<b>B</b>) PGRN/granulin deficiency leads to reduced BMP levels through a yet to be discovered mechanism. Reduced BMP levels contribute to impaired hydrolase activities and drive accumulation of lipid substrates such as GlcSph and GGs. Eventually, this likely leads to lysosomal dysfunction and downstream consequences, including neuroinflammation and neurodegeneration. Adopted from Boland et al. [<a href="#B44-ijms-25-00131" class="html-bibr">44</a>] and Simon et al. [<a href="#B49-ijms-25-00131" class="html-bibr">49</a>].</p>
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14 pages, 13030 KiB  
Article
Biotechnological Valorization of Cupuaçu By-Products: Solid-State Fermentation for Lipase Production by Yarrowia lipolytica
by Aparecida Selsiane Sousa Carvalho, Raíssa de Carvalho Pinto e Rocha, Júlio Cesar Soares Sales, Carlos Eduardo Conceição de Souza, Ailton Cesar Lemes and Maria Alice Zarur Coelho
Fermentation 2023, 9(11), 989; https://doi.org/10.3390/fermentation9110989 - 20 Nov 2023
Cited by 1 | Viewed by 1911
Abstract
Lipases are enzymes that catalyze the hydrolysis of ester bonds of triacylglycerols at the oil–water interface, generating free fatty acids, glycerol, diacylglycerol, and monoacylglycerol, which can be produced from the fermentation of agro-industrial by-products rich in fatty acids, such as cupuaçu fat cake. [...] Read more.
Lipases are enzymes that catalyze the hydrolysis of ester bonds of triacylglycerols at the oil–water interface, generating free fatty acids, glycerol, diacylglycerol, and monoacylglycerol, which can be produced from the fermentation of agro-industrial by-products rich in fatty acids, such as cupuaçu fat cake. In this study, Yarrowia lipolytica IMUFRJ50682 was used for lipase production from cupuaçu fat cake in solid-state fermentation (SSF) associated with soybean meal. The 2:1 ratio of cupuaçu fat cake/soybean meal increased the lipase activity of Y. lipolytica via SSF by approximately 30.3-fold compared to that in cupuaçu without supplementation. The optimal conditions for Y. lipolytica to produce lipase were obtained by supplementation with peptone, urea, and soybean oil (all at 1.5% w/v), reaching values of up to 70.6 U g−1. These results demonstrate that cupuaçu fat cake associated with soybean meal can be used for lipase production and adds value to cupuaçu by-products. Furthermore, the proper processing of by-products can contribute to improving the economic viability of the biotechnological processing industry and help prevent the accumulation of waste and environmental pollution. Full article
(This article belongs to the Section Microbial Metabolism, Physiology & Genetics)
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<p>Process of lipase production by <span class="html-italic">Yarrowia lipolytica</span> IMUFRJ50682 using cupuaçu fat cake by-product via solid-state fermentation (SSF) at 28 °C in a tray-type bioreactor.</p>
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<p>Lipase production by <span class="html-italic">Yarrowia lipolytica</span> using cupuaçu fat cake.</p>
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<p>Time course evaluation of lipase production using cupuaçu fat cake and soybean meal (1:2).</p>
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<p>Response surface plot indicating the effects of interactions between (<b>A</b>) urea and peptone, (<b>B</b>) soybean oil and urea, and (<b>C</b>) soybean oil and peptone on lipase activity.</p>
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<p>Response surface plot indicating the effects of interactions between (<b>A</b>) urea and peptone, (<b>B</b>) soybean oil and urea, and (<b>C</b>) soybean oil and peptone on lipase activity.</p>
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