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11 pages, 1731 KiB  
Article
Early-Life Respiratory Syncytial Virus (RSV) Infection Triggers Immunological Changes in Gut-Associated Lymphoid Tissues in a Sex-Dependent Manner in Adulthood
by Stella Liong, Felicia Liong, Mitra Mohsenipour, Elisa L. Hill-Yardin, Mark A. Miles and Stavros Selemidis
Cells 2024, 13(20), 1728; https://doi.org/10.3390/cells13201728 - 18 Oct 2024
Abstract
Severe respiratory syncytial virus (RSV) infection during early life has been linked to gut dysbiosis, which correlates with increased disease severity and a higher risk of developing asthma later in life. However, the impact of such early-life RSV infections on intestinal immunity in [...] Read more.
Severe respiratory syncytial virus (RSV) infection during early life has been linked to gut dysbiosis, which correlates with increased disease severity and a higher risk of developing asthma later in life. However, the impact of such early-life RSV infections on intestinal immunity in adulthood remains unclear. Herein, we show that RSV infection in 3-week-old mice induced persistent differential natural killer (NK) and T cell profiles within the lungs and gastrointestinal (GI) lymphoid tissues (GALT) in adulthood. Notably, male mice exhibited more pronounced RSV-induced changes in immune cell populations in both the lungs and GALT, while female mice displayed greater resilience. Importantly, early-life RSV infection was associated with the chronic downregulation of CD69-expressing T lymphocytes, particularly T regulatory cells in Peyer’s patches, which could have a significant impact on T cell functionality and immune tolerance. We propose that RSV infection in early life is a trigger for the breakdown in immune tolerance at mucosal surfaces, with potential implications for airways allergic disease, food allergies, and other GI inflammatory diseases. Full article
(This article belongs to the Section Cellular Immunology)
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Figure 1

Figure 1
<p>Early-life RSV infection causes chronic immunological changes in the lungs of adult male mice. We employed flow cytometry to measure the absolute numbers of the following cell types in the lungs of 9-week-old mice: (<b>A</b>) CD4+ T cells, (<b>B</b>) CD69<sup>+</sup> activated CD4<sup>+</sup> T cells, (<b>C</b>) CD4<sup>+</sup> regulatory T cells (Tregs), (<b>D</b>) CD8<sup>+</sup> T cells, (<b>E</b>) CD69<sup>+</sup> activated CD8<sup>+</sup> T cells, (<b>F</b>) NK cells, (<b>G</b>) CD69<sup>+</sup> activated NK cells, (<b>H</b>) NKT cells, and (<b>I</b>) CD69<sup>+</sup> activated NKT cells. The analysis compared RSV-infected mice (n = 8 females, n = 7 males) with uninfected mice (n = 10 females, n = 8 males) using Student’s <span class="html-italic">t</span>-test, with statistical significance set at * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">Figure 2
<p>Body weights and gastrointestinal tract analysis. (<b>A</b>) Changes in body weight from the day of RSV inoculation (3 weeks old) to the end of the experiment (9 weeks old). (<b>B</b>) Body weights measured at 9 weeks of age just before culling. Gastrointestinal (GI) anatomical analyses included: (<b>C</b>) lengths of the small intestine (SI), (<b>D</b>) lengths of the colon, (<b>E</b>) weights of the caecum, (<b>F</b>) number of Peyer’s patches, and (<b>G</b>) number of formed fecal pellets in the colon at the time of culling. Data were compared between RSV-infected (n = 8 females/group; n = 6 males/group) and uninfected (PBS) mice (n = 11 females/group; n = 8 males/group). Statistical significance was determined using Student’s <span class="html-italic">t</span>-test. ** <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">Figure 3
<p>Early-life RSV infection induces persistent differential immune profiles in the caecal patch of adult male mice. We employed flow cytometry to measure the absolute numbers of (<b>A</b>) CD4<sup>+</sup> T cells, (<b>B</b>) CD69<sup>+</sup> activated CD4<sup>+</sup> T cells, (<b>C</b>) CD4<sup>+</sup> regulatory T cells (Tregs), (<b>D</b>) CD8<sup>+</sup> T cells, (<b>E</b>) CD69<sup>+</sup> activated CD8<sup>+</sup> T cells, (<b>F</b>) NK cells, (<b>G</b>) CD69<sup>+</sup> activated NK cells, (<b>H</b>) NKT cells, and (<b>I</b>) CD69<sup>+</sup> activated NKT cells in the cecal patch of 9 week old mice. We compared RSV-infected mice (n = 8 females; n = 7 males) to uninfected mice (n = 10 females; n = 8 males) using Student’s t-test. Statistical significance was indicated as * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">Figure 4
<p>Early-life RSV infection induces persistent differential immune profiles in the Peyer’s patch of adult male mice. Flow cytometry was used to determine the absolute numbers of (<b>A</b>) CD4<sup>+</sup> T cells, (<b>B</b>) CD69<sup>+</sup> activated CD4<sup>+</sup> T cells, (<b>C</b>) CD4<sup>+</sup> regulatory T cells (Tregs), (<b>D</b>) CD8<sup>+</sup> T cells, (<b>E</b>) CD69<sup>+</sup> activated CD8<sup>+</sup> T cells, (<b>F</b>) NK cells, (<b>G</b>) CD69<sup>+</sup> activated NK cells, (<b>H</b>) NKT cells, and (<b>I</b>) CD69<sup>+</sup> activated NKT cells in Peyer’s patches of 9-week-old RSV-infected (n = 8 females; n = 7 males) and uninfected mice (n = 10 females; n = 8 males). Student’s t-test analysis. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01.</p>
Full article ">
9 pages, 233 KiB  
Communication
The Effects of VEGF-A and GSTM1/GSTT1 Variants in the Susceptibility to the Chronic Rhinosinusitis with Nasal Polyposis: A Pilot Genetic Study
by Leandro Azevedo Camargo, Angela Adamski da Silva Reis, Stela Oliveira Rodrigues, Rodrigo da Silva Santos and Melissa Ameloti Gomes Avelino
Biomedicines 2024, 12(10), 2383; https://doi.org/10.3390/biomedicines12102383 - 18 Oct 2024
Abstract
Nasal polyps (NPs) are usually part of chronic rhinosinusitis with nasal polyposis (CRSwNP). However, the exact etiology of CRSwNP is still unknown. In addition, the suggested etiological causes are infection, allergy, and immunological disorders, among others, such as genetic predisposition. Moreover, it is [...] Read more.
Nasal polyps (NPs) are usually part of chronic rhinosinusitis with nasal polyposis (CRSwNP). However, the exact etiology of CRSwNP is still unknown. In addition, the suggested etiological causes are infection, allergy, and immunological disorders, among others, such as genetic predisposition. Moreover, it is also suggested that oxygen-free radicals play a vital role in the pathogenesis of nasal polyposis, and inflammatory cells produce free radicals during phagocytosis, which is the primary source of ROS, controlled by the glutathione S-transferase (GST) system. Although, vascular endothelial growth factor (VEGF) plays an important role in angiogenesis, it is closely interwoven with the mobilization of inflammatory cells. This pilot study evaluated the association between genetic variant VEGF-A (rs28357093) and GSTM1/GSTT1 deletion polymorphism in susceptibility to CRSwNP. A case–control study was conducted with 61 individuals diagnosed with CRSwNP and 100 healthy subjects. VEGF-A (rs28357093) and GSTM1/GSTT1 deletion polymorphisms were genotyped by RFLP-PCR and SYBR Green real-time PCR, respectively. Individuals with allergic rhinitis carriers with AC genotype (rs28357093) presented a 4-fold increased risk to CRSwNP (OR = 4.20, 95% CI = 1.31 to 13.50; p = 0.015). This evidence shows that the increased vascular permeability probably causes an inflamed nasal area leading to extensive edema and polyp growth. On the other hand, no association was verified for each genetic variant by inheritance models. Interestingly, the GSTT1 present genotype showed a protective effect on CRSwNP. In conclusion, additional studies that have larger groups in different geographic localizations may be useful to verify and assess the association between genetic variants and CRSwNP. Full article
(This article belongs to the Section Immunology and Immunotherapy)
7 pages, 200 KiB  
Brief Report
The Association Between Rheumatic Disease Therapies and Cardiovascular Outcomes in People with HIV—A Retrospective Cohort Study
by Boghuma K. Titanji, Shumpei Nagatomi, Julia W. Gallini, Xiangqin Cui, Jennifer S. Hanberg, Evelyn Hsieh and Vincent C. Marconi
J. Clin. Med. 2024, 13(20), 6209; https://doi.org/10.3390/jcm13206209 - 18 Oct 2024
Abstract
Introduction: Inflammation is a significant contributor to cardiovascular disease (CVD) in people with HIV (PWH), who face twice the risk of CVD compared to the general population. The presence of co-existing rheumatic disease (RD) may further exacerbate inflammation and increase the incidence of [...] Read more.
Introduction: Inflammation is a significant contributor to cardiovascular disease (CVD) in people with HIV (PWH), who face twice the risk of CVD compared to the general population. The presence of co-existing rheumatic disease (RD) may further exacerbate inflammation and increase the incidence of CVD events in this population. Methods: We conducted a retrospective cohort study using electronic health record (EHR) data from the Veterans Affairs Medical Center in Atlanta, covering the period from 2000 to 2019. A total of 5000 patients aged 20–87 years who were diagnosed with HIV and receiving care at the Atlanta VAMC between 2000 and 2019 were eligible for this analysis. This study included 3930 veterans with HIV and assessed the impact of rheumatic disease therapies (RDTs) on CVD outcomes. The primary outcome was the first occurrence of a CVD event. Results: Rheumatic disease was significantly associated with an increased risk of CVD events (OR = 2.67; p < 0.001). Additionally, exposure to multiple RDTs (aHR = 2.121, p = 0.047), NSAIDs (aHR = 1.694, p = 0.003), glucocorticoids (aHR = 2.332, p < 0.0001), and hypouricemic agents and colchicine (aHR = 3.445, p < 0.0001) were all significantly associated with increased CVD events. Conclusions: The co-existence of HIV infection and rheumatic disease, along with the use of RDTs, may amplify the risk of CVD events in PWH. These findings underscore the need for further investigation into the relationship between RD, RDTs, and CVD risk in larger, controlled studies, given the potential implications for treatment decisions in this patient population. A limitation of our study is that due to its retrospective design, we could not examine the impact of the sequential use of RDT groups and RD severity on CVD events. Full article
(This article belongs to the Section Epidemiology & Public Health)
12 pages, 2909 KiB  
Review
Exploring Fish Parvalbumins through Allergen Names and Gene Identities
by Johannes M. Dijkstra, Annette Kuehn, Eiji Sugihara and Yasuto Kondo
Genes 2024, 15(10), 1337; https://doi.org/10.3390/genes15101337 - 18 Oct 2024
Viewed by 143
Abstract
Parvalbumins are the main source of food allergies in fish meat, with each fish possessing multiple different parvalbumins. The naming convention of these allergens in terms of allergen codes (numbers) is species-specific. Allergen codes for parvalbumin isoallergens and allergen variants are based on [...] Read more.
Parvalbumins are the main source of food allergies in fish meat, with each fish possessing multiple different parvalbumins. The naming convention of these allergens in terms of allergen codes (numbers) is species-specific. Allergen codes for parvalbumin isoallergens and allergen variants are based on sequence identities relative to the first parvalbumin allergen discovered in that particular species. This means that parvalbumins with similar allergen codes, such as catfish Pan h 1.0201 and redfish Seb m 1.0201, are not necessarily the most similar proteins, or encoded by the same gene. Here, we aim to elucidate the molecular basis of parvalbumins. We explain the complicated genetics of fish parvalbumins in an accessible manner for fish allergen researchers. Teleost or modern bony fish, which include most commercial fish species, have varying numbers of up to 22 parvalbumin genes. All have derived from ten parvalbumin genes in their common ancestor. We have named these ten genes “parvalbumin 1-to-10” (PVALB1-to-PVALB10), building on earlier nomenclature established for zebrafish. For duplicated genes, we use variant names such as, for example, “PVALB2A and PVALB2B”. As illustrative examples of our gene identification system, we systematically analyze all parvalbumin genes in two common allergy-inducing species in Japan: red seabream (Pagrus major) and chum salmon (Oncorhynchus keta). We also provide gene identifications for known parvalbumin allergens in various fish species. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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Figure 1

Figure 1
<p>Parvalbumins have six α-helices A-to-F and two “EF-hand” domains for binding Ca<sup>2+</sup> ions (indicated as spheres). (<b>A</b>) The structure, in cartoon format, of common carp pvalb4_(Chr.A3) (a β2-parvalbumin; PDB accession 4CPV) [<a href="#B7-genes-15-01337" class="html-bibr">7</a>], which was the first parvalbumin of which the structure was elucidated [<a href="#B8-genes-15-01337" class="html-bibr">8</a>]. Different α-helices are in different colors. (<b>B</b>) Superimposition of various parvalbumin structures, in ribbon format, reveals a common structure. Light pink, human α-parvalbumin (1RK9); pink, pike pvalb7 α-parvalbumin (2PAS); magenta, spotless smooth-hound shark SPV-I α-parvalbumin (5ZGM); green, human oncomodulin (1TTX); splitpea green, chicken CPV3-oncomodulin (2KYF); soft purple, chicken ATH β2-parvalbumin (3FS7); cyan, Atlantic cod pvalb2 β2-parvalbumin (2MBX); green cyan, pike pvalb3 β2-parvalbumin (1PVB); aquamarine, common carp pvalb4_(Chr.A3) β2-parvalbumin (4CPV); light teal, spotless smooth-hound shark SPV-II β2-parvalbumin (5ZH6). (<b>C</b>) The structure, in ribbon format, of common carp pvalb4_(Chr.A3) (PDB accession 4CPV), shows in black those residues that are well conserved throughout EF-hand domain family molecules and in gray other residues that are well conserved throughout parvalbumins; the sidechains of these residues are shown in sticks format. This figure is used, with permission, from our open access article [<a href="#B9-genes-15-01337" class="html-bibr">9</a>], and the figures were created with the help of Pymol 2.5.2 software (<a href="https://pymol.org/2/" target="_blank">https://pymol.org/2/</a> (accessed on 27 October 2022)).</p>
Full article ">Figure 2
<p>Parvalbumins in extant teleost fish derive from ten parvalbumin genes in their common ancestor and belong to three different ancient parvalbumin lineages. (<b>A</b>) The immediate ancestor of extant teleost fish possessed at least the genes <span class="html-italic">PVALB1</span>-to-<span class="html-italic">PVALB10</span>, spread over four different chromosomal regions deriving from two whole-genome duplication (WGD) events. The parvalbumin genes are indicated with thick-lined boxes that are pointed in the gene direction and are colored magenta for α-parvalbumins, green for oncomodulins, and different kinds of blue for <span class="html-italic">PVALB1</span>-to-4, e<span class="html-italic">PVALB5</span>, and <span class="html-italic">PVALB10</span>. Neighboring non-parvalbumin genes are indicated by lower boxes with their name abbreviations inside. (<b>B</b>) Parvalbumin gene organization in red seabream and chum salmon, with the direction of the depicted scaffolds adjusted for homogenization. For relevant genomic region information, or Genbank accession numbers providing access to such information, see <a href="#app1-genes-15-01337" class="html-app">Supplementary Files S1 and S2</a>. Most symbols are as in (<b>A</b>), and the boxes with dashed lines and Ψ symbols indicate probable pseudogenes. (<b>C</b>) A condensed part of a phylogenetic tree created by the Maximum Likelihood method using 209 parvalbumin amino acid sequences of fishes and other species. Only the teleost fish sequences are indicated here, with between brackets the number of teleost sequences condensed in the respective part of the tree. For the complete tree and sequence information, see [<a href="#B9-genes-15-01337" class="html-bibr">9</a>]. The percentage of trees in which the associated taxa clustered together is shown next to the branches if &gt;50. Percentages of aa identity, calculated with the help of Clustal Omega (<a href="https://www.ebi.ac.uk/jdispatcher/msa/clustalo" target="_blank">https://www.ebi.ac.uk/jdispatcher/msa/clustalo</a> (accessed on 25 March 2024)), are indicated per cluster.</p>
Full article ">Figure 3
<p>Parvalbumin amino acid consensus sequences. Consensus sequences were created using WebLogo 2.8.2 (<a href="https://weblogo.berkeley.edu/logo.cgi" target="_blank">https://weblogo.berkeley.edu/logo.cgi</a> (accessed on 25 March 2024)) software for analysis of the parvalbumin sequences listed in [<a href="#B9-genes-15-01337" class="html-bibr">9</a>], which tried to provide a broad overview of parvalbumin sequences while focusing on teleost parvalbumins. (<b>A</b>) Sequence logo for all analyzed 209 parvalbumin sequences, with helices indicated above the alignment based on the structure of common carp pvalb4_(Chr.A3) protein (PDB database 4CPV). (<b>B</b>) Frequency plots for residues at positions that help to distinguish between the α-parvalbumins (<span class="html-italic">n</span> = 45; 30 from teleosts), oncomodulins (<span class="html-italic">n</span> = 43; 30 from teleosts), and β2-parvalbumins (<span class="html-italic">n</span> = 121; 87 from teleosts). (<b>C</b>) Frequency plots for residues at positions that help to distinguish between the combined pvalb1-to-4 sequences (<span class="html-italic">n</span> = 64), pvalb5 (<span class="html-italic">n</span> = 13), and pvalb10 (<span class="html-italic">n</span> = 10) of teleosts. (<b>D</b>) Frequency plots for residues at positions that help to distinguish between teleost pvalb1 (<span class="html-italic">n</span> = 15), pvalb2 (<span class="html-italic">n</span> = 10), pvalb3 (<span class="html-italic">n</span> = 17), and pvalb4 (<span class="html-italic">n</span> = 22). The letters represent amino acids and their sizes correspond with their level of conservation. For a discussion of the structural importance of these characteristic residues, see [<a href="#B9-genes-15-01337" class="html-bibr">9</a>]. *, many parvalbumins are a bit shorter and do not have a residue at position 109.</p>
Full article ">Figure 4
<p>Percentages of amino acid identity between parvalbumins of red seabream, Atlantic cod, chum salmon, chicken, and human. Colors highlight comparisons between parvalbumins belonging to the same family: β2-parvalbumins (teleost pvalb1-to-4), blue (cyan); α-parvalbumins, pink; oncomodulins, green.</p>
Full article ">
22 pages, 5573 KiB  
Article
Circular RNA hsa_circ_0008726 Targets the hsa-miR-206-3p/KLF4 Axis to Modulate 4,4′-Methylene Diphenyl Diisocyanate-Glutathione Conjugate-Induced Chemokine Transcription in Macrophages
by Chen-Chung Lin, Brandon F. Law and Justin M. Hettick
Cells 2024, 13(20), 1725; https://doi.org/10.3390/cells13201725 - 18 Oct 2024
Viewed by 168
Abstract
Exposure to 4,4′-methylene diphenyl diisocyanate (MDI) in the workplace may lead to the development of occupational asthma (OA). However, the specific mechanism(s) by which MDI induces OA are poorly understood. Previous reports have demonstrated that MDI and MDI-glutathione (GSH) conjugate exposure downregulates endogenous [...] Read more.
Exposure to 4,4′-methylene diphenyl diisocyanate (MDI) in the workplace may lead to the development of occupational asthma (OA). However, the specific mechanism(s) by which MDI induces OA are poorly understood. Previous reports have demonstrated that MDI and MDI-glutathione (GSH) conjugate exposure downregulates endogenous human/murine (hsa/mmu)-microRNA(miR)-206-3p, resulting in the activation of mmu/hsa-miR-206-3p-regulated signaling pathways in macrophages. Circular RNAs (circRNAs) regulate many important biological processes by targeting endogenous miRs; however, whether MDI/MDI-GSH exposure may influence circRNA expressions is unknown. Several circRNAs have been identified that regulate hsa-miR-206-3p. We hypothesize that MDI-GSH conjugate exposure induces endogenous circRNA(s) to regulate hsa-miR-206-3p in macrophages. The expression of candidate hsa-miR-206-3p-binding circRNAs was determined from MDI-GSH conjugate-treated differentiated THP-1 macrophages using RT-qPCR. MDI-GSH exposures induced hsa_circ_0008726 and its host gene transcript DNAJB6, whereas other circRNA(s) examined were either not detected or unchanged. RNA-induced silencing complex-immunoprecipitation (RISC-IP) experiments confirm that hsa-miR-206-3p can bind to hsa_circ_0008726. The expressions of endogenous hsa-miR-206-3p, hsa-miR-206-3p-regulated KLF4, and KLF4-activated M2 macrophage-associated markers and chemokines were up-/down-regulated by transfection of hsa_circ_0008726 siRNAs or hsa_circ_0008726 overexpression plasmid in macrophages, respectively. These results suggest MDI-GSH exposure downregulates hsa-miR-206-3p via induction of endogenous hsa_circ_0008726/DNAJB6, resulting in the upregulation of hsa-miR-206-3p-mediated regulations in macrophages. Full article
(This article belongs to the Special Issue Advances in the Biogenesis, Biology, and Functions of Noncoding RNAs)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p><b>MDI-GSH conjugate treatment induces endogenous circRNA <span class="html-italic">hsa_circ_0008726</span> in differentiated/enhanced THP-1 macrophages.</b> Total RNA was isolated from the indicated MDI-GSH conjugate-treated differentiated/enhanced THP-1 macrophages by the <span class="html-italic">mirVana</span><sup>™</sup> miR isolation kit, reverse transcribed, and subjected to SYBR green-based or TaqMan stem-loop miR RT-qPCR. Endogenous miR/circRNA expressions of (<b>A</b>) <span class="html-italic">hsa-miR-206-3p</span>, (<b>B</b>) <span class="html-italic">hsa_circ_0000199</span>, (<b>C</b>) <span class="html-italic">hsa_circ_0001264</span>, (<b>D</b>) <span class="html-italic">hsa_circ_0001982</span>, (<b>E</b>) <span class="html-italic">hsa_circ_0004662</span>, (<b>F</b>) <span class="html-italic">hsa_circ_0007428</span>, (<b>G</b>) <span class="html-italic">hsa_circ_0008726</span>, (<b>H</b>) <span class="html-italic">hsa_circ_0056618</span>, (<b>I</b>) <span class="html-italic">hsa_circ_0057558</span>, (<b>J</b>) <span class="html-italic">hsa_circ_0058141</span>, and (<b>K</b>) <span class="html-italic">hsa_circ_0072088</span> were determined 24 h after MDI-GSH conjugate treatments (N = 3; bars, SEM). MDI: 4,4′-methylene diphenyl diisocyanate. GSH: Glutathione. (* <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).</p>
Full article ">Figure 2
<p><b>Circular RNA <span class="html-italic">hsa_circ_0008726</span> is presented in THP-1 macrophages, and MDI-GSH conjugates upregulate endogenous <span class="html-italic">hsa_circ_0008726</span> parental host gene transcript <span class="html-italic">DNAJB6</span>.</b> (<b>A</b>) Characteristics of <span class="html-italic">hsa_circ_0008726</span> obtained from the Circular RNA Interactome database. (<b>B</b>) Illustration shows exon numbers and designed convergent and divergent primer sites on the mature <span class="html-italic">DNAJB6</span> transcripts. RNAse R degrades linear RNA species, including the <span class="html-italic">DNAJB6</span> transcript. CircRNA <span class="html-italic">hsa_circ_0008726</span> is back spliced from exon 3–5 of the <span class="html-italic">DNAJB6</span> transcript. (<b>C</b>) Total RNA was isolated from THP-1 macrophages by the <span class="html-italic">mirVana<sup>™</sup></span> miR isolation kit and treated with or without RNAse R, further purified using the <span class="html-italic">mirVana<sup>™</sup></span> miR isolation kit, reverse transcribed, and subjected to RT-PCR using convergent or divergent primers. RT-NTC: Templates from a cDNA synthesis reaction without adding reverse transcriptase. PCR-NTC: Use only water to replace cDNA templates during PCR reaction. (<b>D</b>) Total RNA was isolated from MDI-GSH-treated differentiated/enhanced THP-1 macrophages at indicated concentrations for 24 h by the <span class="html-italic">mirVana<sup>™</sup></span> miR isolation kit, reverse transcribed, and subjected to TaqMan RT-qPCR assays. Endogenous levels of <span class="html-italic">DNAJB6</span> were determined at 24 h after MDI-GSH conjugate treatment (N = 3; bars, SEM). MDI: 4,4′-methylene diphenyl diisocyanate. GSH: Glutathione (** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001).</p>
Full article ">Figure 3
<p><b>Human circular RNA <span class="html-italic">hsa_circ_0008726</span> is a target of <span class="html-italic">hsa-miR-206-3p.</span></b> (<b>A</b>) Alignment of the <span class="html-italic">hsa_circ_0008726</span> sequence regions of potential <span class="html-italic">hsa-miR-206-3p</span> binding sites. (<b>B</b>) Differentiated/enhanced THP-1 macrophages were transfected with 25 nM of indicated miR-mimic or nontargeting miR-mimic control (miR-mimic-Ctl) for 24 h. The cells were collected and immunoprecipitated using the panAGO or isotype IgG antibody after 24 h transfection. RNA was isolated, and the fold enrichment of <span class="html-italic">hsa_circ_0008726</span> was measured (N = 3; bars, SEM). (<b>C</b>,<b>D</b>) THP-1 macrophages were transfected with 25 nM of either miR-mimic/inhibitor-206-3p, miR-mimic/inhibitor-381-3p, or nontargeting miR-mimic/inhibitor control for 24 h. Total RNA was isolated from the indicated miR-mimics/inhibitors transfected THP-1 macrophages by the <span class="html-italic">mirVana<sup>™</sup></span> miR isolation kit, reverse transcribed, and subjected to RT-qPCR. The endogenous <span class="html-italic">hsa_circ_0008726</span> levels from indicated (<b>C</b>) miR-mimics or (<b>D</b>) miR-inhibitors transfected THP-1 macrophages were determined by SYBR Green RT-qPCR assays (N = 3; bars, SEM). (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p><b>Transfection of <span class="html-italic">hsa_circ_0008726</span> siRNA knocks down endogenous <span class="html-italic">hsa_circ_0008726</span> levels and upregulates <span class="html-italic">hsa-miR-206-3p</span> in differentiated/enhanced THP-1 macrophages.</b> Differentiated/enhanced THP-1 macrophages were transfected with 25 nM of either si-<span class="html-italic">hsa_circ_0008726</span>#1, si-<span class="html-italic">hsa_circ_0008726</span>#2 siRNA, or nontargeting siRNA control (siCtl). After 24 h, the endogenous levels of (<b>A</b>) <span class="html-italic">hsa_circ_0008726</span> and (<b>B</b>) <span class="html-italic">hsa-miR-206-3p</span> were measured by RT-qPCR (N = 3; bars, SEM). (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p><b>CircRNA <span class="html-italic">hsa_circ_0008726</span> as a downstream effector to MDI-GSH conjugate exposure for regulating <span class="html-italic">hsa-miR-206-3p/KLF4</span> and KLF4-mediated M2 macrophage-associated markers and chemokines in macrophages.</b> Differentiated/enhanced THP-1 macrophages were transfected with 25 nM of either si-<span class="html-italic">hsa_circ_0008726</span>#1 or nontargeting siRNA control (siCtl) for 24 h, followed by treatment either with or without 10 µM MDI-GSH conjugate for 24 h. Total RNA was isolated from macrophages with indicated treatments/transfections by the <span class="html-italic">mirVana<sup>™</sup></span> miR isolation kit, reverse transcribed, and subjected to SYBR green-based or TaqMan stem-loop miR RT-qPCR. The endogenous levels of (<b>A</b>) <span class="html-italic">hsa_circ_0008726</span> and (<b>B</b>) <span class="html-italic">hsa-miR-206-3p</span> as well as the M2 macrophage-associated transcription factor (<b>C</b>) <span class="html-italic">KLF4</span>, markers (<b>D</b>) <span class="html-italic">CD206</span>, (<b>E</b>) <span class="html-italic">TGM2</span>, (<b>F</b>) <span class="html-italic">CCL17</span>, (<b>G</b>) <span class="html-italic">CCL22</span>, and (<b>H</b>) <span class="html-italic">CCL24</span> mRNA levels were determined in total RNA isolated from macrophages as indicated treatments (N = 3; bars, SEM). (* <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 when compared to vehicle-treated macrophages with transfection of or nontargeting siRNA control (siCtl); <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01, <sup>###</sup> <span class="html-italic">p</span> &lt; 0.001, when compared to macrophages treated with 10 µM MDI-GSH conjugate as well as with transfection of indicated either si-<span class="html-italic">hsa_circ_0008726</span>#1 or nontargeting siRNA control (siCtl)).</p>
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<p><b>Circular RNA <span class="html-italic">hsa_circ_0008726</span> overexpression increases M2 macrophage associate markers and chemokines in differentiated/enhanced THP-1 macrophages.</b> Differentiated/enhanced THP-1 macrophages were transfected with 2.5 µg of either pcDNA3.1<sup>(+)</sup>_Circ_Mini-<span class="html-italic">hsa_circ_0008726</span> or pcDNA3.1<sup>(+)</sup>_Circ_Mini vector plasmids for 48 h. Total RNA was isolated from plasmids transfected THP-1 macrophages by the <span class="html-italic">mirVana<sup>™</sup></span> miR isolation kit, reverse transcribed, and subjected to SYBR green or TaqMan RT-qPCR. The transgene of (<b>A</b>) <span class="html-italic">hsa_circ_0008726</span> and (<b>B</b>) <span class="html-italic">hsa-miR-206-3p</span> as well as the endogenous M2 macrophage-associated markers (<b>C</b>) <span class="html-italic">KLF4</span>, (<b>D</b>) <span class="html-italic">CD206</span>, (<b>E</b>) <span class="html-italic">TGM2</span>, (<b>F</b>) <span class="html-italic">CCL17</span>, (<b>G</b>) <span class="html-italic">CCL22</span>, and (<b>H</b>) <span class="html-italic">CCL24</span> mRNA levels were determined by RT-qPCR (N = 3; bars, SEM). (* <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).</p>
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<p><b>CircRNA <span class="html-italic">hsa_circ_0008726</span> plays an important role for the secretion of chemokines CCL17, CCL22, and CCL24 and regulates T-cell and eosinophil chemotaxis/migration in macrophages.</b> Cell-free conditioned media were obtained from THP-1 macrophages transfected with either the <span class="html-italic">hsa_circ_0008726</span> overexpression plasmid or the empty vector for 48 h. The secreted protein levels of (<b>A</b>) CCL17, (<b>B</b>) CCL22, and (<b>C</b>) CCL24 in conditioned media from either <span class="html-italic">hsa_circ_0008726</span> overexpressed THP-1 macrophages or empty vector transfected THP-1 macrophages were determined by ELISA according to the manufacturer’s instructions. The isolated conditioned media were used as chemoattractants to attract (<b>D</b>) Jurkat T-cell clone E6-1 or differentiated (<b>E</b>) HL-60 C_15 eosinophils. T-cell and eosinophil migration responding to the conditioned media was measured after 6 h. Percent of cells migrated towards the bottom chamber are shown (** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001).</p>
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<p><b>Proposed mechanisms by which MDI-GSH conjugate exposure induces M2 macrophage-associated markers and chemokine <span class="html-italic">CCL17</span>, <span class="html-italic">CCL22</span>, and <span class="html-italic">CCL24</span> via <span class="html-italic">hsa_circ_0008726/hsa-miR-206-3p</span>-regulated KLF4 activation in macrophages.</b> MDI: 4,4′-methylene diphenyl diisocyanate; TFs: transcription factors; CDS: coding sequences; KLF4: Krüppel-like factor 4. Note: Some illustrated schematics were obtained from <span class="html-italic">motifolio</span> templates (Motifolio Inc., Ellicott City, MD, USA).</p>
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13 pages, 3063 KiB  
Article
Therapeutic Drug Monitoring of Elexacaftor, Tezacaftor, and Ivacaftor in Adult People with Cystic Fibrosis
by Susanne Naehrig, Christina Shad, Magdalena Breuling, Melanie Goetschke, Katharina Habler, Sarah Sieber, Johanna Kastenberger, Alexandra Katharina Kunzelmann, Olaf Sommerburg, Uwe Liebchen, Juergen Behr, Michael Vogeser and Michael Paal
J. Pers. Med. 2024, 14(10), 1065; https://doi.org/10.3390/jpm14101065 - 17 Oct 2024
Viewed by 267
Abstract
Background/Objectives: Elexacaftor, tezacaftor, and ivacaftor (ETI) have significantly improved lung function in people with cystic fibrosis (pwCF). Despite exceptional improvements in most cases, treatment-related inter-subject variability and drug–drug interactions that complicate modulator therapy have been reported. Methods: This retrospective analysis presents data on [...] Read more.
Background/Objectives: Elexacaftor, tezacaftor, and ivacaftor (ETI) have significantly improved lung function in people with cystic fibrosis (pwCF). Despite exceptional improvements in most cases, treatment-related inter-subject variability and drug–drug interactions that complicate modulator therapy have been reported. Methods: This retrospective analysis presents data on the serum concentration of ETI in our pwCF with full or reduced dosage from August 2021 to December 2023 via routine therapeutic drug monitoring (TDM). The data were compared with the maximum drug concentrations (Cmax) from the pharmaceutical company’s summary of product characteristics. Results: A total of 786 blood samples from 155 pwCF (41% female, 59% male) were analyzed. The examinations were divided into four groups: full dose within the given tmax (38.5% of all measurements), full dose outside the tmax (29%), reduced dose within the tmax (19.2%), and reduced dose outside the tmax (13.2%). In pwCF receiving the full dose and blood taken within the tmax, 45.3% of serum concentrations of elexacaftor, 51.1% of serum concentrations of ivacaftor, and 8.9% of serum concentrations of tezacaftor were found to be above the Cmax, respectively. For those on reduced doses within the tmax, 24.5% had a serum concentration of elexacaftor, 23.2% had a serum concentration of ivacaftor, and 2.5% had a serum concentration of tezacaftor above the Cmax, respectively. Conclusions: Many pwCF under ETI therapy have Cmax values for elexacaftor and ivacaftor above the recommended range, even on reduced doses or before the tmax was reached. This highlights the value of a TDM program. Further pharmacokinetic studies are necessary. Full article
(This article belongs to the Section Personalized Therapy and Drug Delivery)
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<p>Scatterplots of all serum concentrations for elexacaftor, tezacaftor, and ivacaftor with full vs. reduced doses. Horizontal lines display the Cmax ± SD, and vertical lines display the median absorption timeframe (tmax) to reach Cmax for each active substance according to the summary of product information (European Medicines Agency 2020).</p>
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<p>Effects between mutation status and serum concentration of elexacaftor, tezacaftor, and ivacaftor.</p>
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<p>Effects between pancreatic status and serum concentrations of ETI.</p>
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36 pages, 3132 KiB  
Review
The Ambivalence of Post COVID-19 Vaccination Responses in Humans
by Radha Gopalaswamy, Vivekanandhan Aravindhan and Selvakumar Subbian
Biomolecules 2024, 14(10), 1320; https://doi.org/10.3390/biom14101320 - 17 Oct 2024
Viewed by 381
Abstract
The Coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has prompted a massive global vaccination campaign, leading to the rapid development and deployment of several vaccines. Various COVID-19 vaccines are under different phases of clinical trials and include [...] Read more.
The Coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has prompted a massive global vaccination campaign, leading to the rapid development and deployment of several vaccines. Various COVID-19 vaccines are under different phases of clinical trials and include the whole virus or its parts like DNA, mRNA, or protein subunits administered directly or through vectors. Beginning in 2020, a few mRNA (Pfizer-BioNTech BNT162b2 and Moderna mRNA-1273) and adenovirus-based (AstraZeneca ChAdOx1-S and the Janssen Ad26.COV2.S) vaccines were recommended by WHO for emergency use before the completion of the phase 3 and 4 trials. These vaccines were mostly administered in two or three doses at a defined frequency between the two doses. While these vaccines, mainly based on viral nucleic acids or protein conferred protection against the progression of SARS-CoV-2 infection into severe COVID-19, and prevented death due to the disease, their use has also been accompanied by a plethora of side effects. Common side effects include localized reactions such as pain at the injection site, as well as systemic reactions like fever, fatigue, and headache. These symptoms are generally mild to moderate and resolve within a few days. However, rare but more serious side effects have been reported, including allergic reactions such as anaphylaxis and, in some cases, myocarditis or pericarditis, particularly in younger males. Ongoing surveillance and research efforts continue to refine the understanding of these adverse effects, providing critical insights into the risk-benefit profile of COVID-19 vaccines. Nonetheless, the overall safety profile supports the continued use of these vaccines in combating the pandemic, with regulatory agencies and health organizations emphasizing the importance of vaccination in preventing COVID-19’s severe outcomes. In this review, we describe different types of COVID-19 vaccines and summarize various adverse effects due to autoimmune and inflammatory response(s) manifesting predominantly as cardiac, hematological, neurological, and psychological dysfunctions. The incidence, clinical presentation, risk factors, diagnosis, and management of different adverse effects and possible mechanisms contributing to these effects are discussed. The review highlights the potential ambivalence of human response post-COVID-19 vaccination and necessitates the need to mitigate the adverse side effects. Full article
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<p>Summary of host response to COVID-19 vaccines. The COVID-19 vaccination-induced host responses can be broadly divided into immediate or delayed hypersensitivity. While the former response elicits allergic reactions and anaphylaxis, the latter response results in mild, moderate, or severe adverse events. The immediate hypersensitivity response is caused either by a classical, IgE-mediated activation of mast cells and basophils or an alternative non-classical pathway involving IgG and other antibodies activating neutrophils and basophils. Autoimmunity due to COVID-19 vaccination can be caused by molecular mimicry, bystander activation of immune cells, viral epitope spreading, or adjuvant-mediated immune response. The overall magnitude and durability of immune response as well as adverse effects mediated by COVID-19 vaccination are determined by several factors, including the age, sex, genetic makeup, immune status, and underlying health conditions of the host as well as the nature of the vaccine used. Image created in Biorender.</p>
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<p>Effects of COVID-19 vaccination-induced immunity. Following vaccination, the immune response against COVID-19 is mediated mainly by the development of Abs against SARS-CoV-2 proteins. The magnitude of immune response developed and its impact on the host protection is determined by the nature of Ab response elicited. An effective neutralizing Ab response neutralizes the virus, controls the infecting viral load and protects the vaccinated host against severe disease and/or death due to infection. However, a sub-optimal non-neutralizing Ab response leads to poor neutralization of the virus and ineffective control of viral load in the organs and may also contribute to Ab-mediated adverse effects (AE), which may enhance the disease manifestations. Image created in Biorender.</p>
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<p>Key pathways of COVID-19 vaccine-induced adverse immune reactions. The COVID-19 vaccine is comprised of the SARS-CoV-2 S protein (either as mRNA or protein) combined with an adjuvant such as polyethylene glycol (PEG). In the classical pathway, internalization of the viral and adjuvant-derived antigens (Ag) in the vaccine by antigen-presenting cells (APC) results in the presentation of antigenic epitopes to the T helper (Th) cells, which produces cytokines and activates Ag-specific B cells to produce various antibodies, such as IgG, IgE, IgM, etc. The Ag-specific IgE Abs binds to the FcεR1 and activates basophils and mast cells to produce histamine, which leads to allergy and/or anaphylaxis reactions. In the non-classical pathway, the antigens were taken up directly by the MRGPRX2 receptor on mast cells, which results in the induction of histamine and allergic responses. In addition, the immune complex formation by the Ag-specific and/or anti-idiotypic IgG, IgE, IgM Abs activates the C3a and C5a complement components, which ultimately results in complement activation-related pseudo-allergic reaction (CARPA). Finally, in the alternative/additional pathway, the antigen–IgG complex is taken up by neutrophils through FcγRs, which activates these polymorphonuclear cells to produce reactive oxygen species (ROS), proteases such as neutrophil-elastases (NE), Protease-3 (PR3), cathepsin G (CatG), and the formation of neutrophil extracellular traps (NETosis). The combined action of these pathways may contribute to the overall allergy and anaphylactic response due to COVID-19 vaccination. Image created in Biorender.</p>
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<p>Various mechanisms of adverse immune activation by COVID-19 vaccines. The viral S protein, either as mRNA or recombinant, adenovector-DNA, is endocytosed through Toll-like receptors (TLR) present on antigen-presenting cells (APCs). These endosomes trigger intracellular signaling pathways that result in the activation of Interferon regulatory factor-7 (IRF-7) and nuclear factor k B (NFkB) networks. Activated IRF7 and NFkB upregulate the production of proinflammatory cytokines IL-6 and TNFα. Alternatively, the viral components can escape from the endosome and trigger the cGAS signaling pathway, which activates STING/IRF3 network that ultimately results in the upregulation of proinflammatory type I interferons (IFN) response. Finally, the viral nucleic acids are translated into peptides and presented by the APC to activate T cells through the T cell receptor (TcR). Activation of naïve T cells results in the production of cytokines. Exposure to IL-4 skews the naïve T cells to an anti-inflammatory, Th2-type T cells that produce IL-3, IL-5, and IL-9, all of which can activate mast cells to elicit an allergic/anaphylactic reaction. In contrast, exposure to IL-12 and IFNγ polarizes the naïve T cells into Th1-type cells, which contributes to the proinflammatory response. Apart from the viral-derived molecules, vaccine adjuvants, such as CpG, can be recognized by TLR on the APC, with further activation of the NFkB pathway, leading to the production of inflammatory response. The viral nucleic acids also form a complex with platelet factor-4 (PF4) produced by the blood platelets. This complex activates Ag-specific B cells to produce anti-DNA/PF4 complex IgG, which binds with the FCγRIIa receptor on the platelets and activates these cells to form aggregates, leading to vaccine-induced thrombotic thrombocytopenia (VITT). Thus, both APCs and platelets play divergent roles in mounting immune dysregulation upon exposure to viral antigens and/or adjuvants. Image created in Biorender.</p>
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15 pages, 4195 KiB  
Article
Down Syndrome in Children: A Primary Immunodeficiency with Immune Dysregulation
by Aleksandra Szczawińska-Popłonyk, Natalia Popłonyk and Karina Awdi
Children 2024, 11(10), 1251; https://doi.org/10.3390/children11101251 - 17 Oct 2024
Viewed by 392
Abstract
Background: The multisystemic features of Down syndrome (DS) in children are accompanied by immunodeficiency, making them susceptible to infections and immune dysregulation with autoimmune, allergic, inflammatory, and hematological complications. This study was aimed at a better understanding of the abnormalities within the B [...] Read more.
Background: The multisystemic features of Down syndrome (DS) in children are accompanied by immunodeficiency, making them susceptible to infections and immune dysregulation with autoimmune, allergic, inflammatory, and hematological complications. This study was aimed at a better understanding of the abnormalities within the B and T cell compartments and their correlations with clinical immunophenotypes. Methods: Medical records of 35 DS children were retrospectively reviewed, referring to clinical symptomatology including history of infections, immune dysregulation disorders, and humoral and cellular immune response. Results: While the etiology of respiratory tract infections included typical viral and bacterial pathogens, SARS-CoV2-induced inflammatory disease and syndromic immunodeficiency contributed significantly to the deterioration of the clinical course. Allergic diseases in the form of asthma, allergic rhinitis, and alimentary allergy were the most frequent manifestations of immune dysregulation and were followed by autoimmune disorders, such as Crohn’s disease, celiac disease, autoimmune thyroiditis, and alopecia, as well as inflammatory disorders, balanitis xerotica obliterans and lymphadenopathy, and a hematological disorder of myelopoiesis. Deficiency of serum immunoglobulin levels, reduced numbers of naïve B cells, and non-switched memory B cells along with low naïve T helper cells and significantly reduced regulatory T helper cells were the most prominent immune abnormalities. Conclusions: The loss of naïveté in B and T lymphocyte compartments with a deficiency of regulatory T cells may be underpinning pathomechanisms for the skewed immune response. The clinical immunophenotype in DS is complex and represents syndromic primary immunodeficiency with immune dysregulation. Full article
(This article belongs to the Special Issue Advances in Research on Childhood Immune and Allergic Diseases)
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<p>The distribution of serum immunoglobulins G, M, and A in the children studied. The immunoglobulin concentrations expressed in mg/dL in relation to the patients’ ages given in months and to age-matched reference values. Reference minimal and maximal values <span class="html-fig-inline" id="children-11-01251-i001"><img alt="Children 11 01251 i001" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i001.png"/></span>, patients’ values <span class="html-fig-inline" id="children-11-01251-i002"><img alt="Children 11 01251 i002" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i002.png"/></span>. The horizontal axis shows patients’ ages (months), and the vertical axis shows patients’ results.</p>
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<p>The relative counts (percentage of total lymphocytes) and absolute numbers of B cell subpopulations in a group of children with Down syndrome in relation to age-matched reference values. Reference minimal and maximal values <span class="html-fig-inline" id="children-11-01251-i001"><img alt="Children 11 01251 i001" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i001.png"/></span>, patients’ relative counts (%) <span class="html-fig-inline" id="children-11-01251-i003"><img alt="Children 11 01251 i003" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i003.png"/></span>, absolute numbers (cc) <span class="html-fig-inline" id="children-11-01251-i004"><img alt="Children 11 01251 i004" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i004.png"/></span>. The horizontal axis shows patients’ ages (months), and the vertical axis shows patients’ results.</p>
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<p>The relative counts (percentage of total lymphocytes) and absolute numbers of T CD4+ helper cell subpopulations in a group of children with Down syndrome in relation to age-matched values. The regression curve shows the naïve CD4+CD45RA+ to memory CD4+CD45RO+ T helper cell ratio. Reference minimal and maximal values <span class="html-fig-inline" id="children-11-01251-i001"><img alt="Children 11 01251 i001" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i001.png"/></span>, patients’ relative counts (%) <span class="html-fig-inline" id="children-11-01251-i003"><img alt="Children 11 01251 i003" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i003.png"/></span>, absolute numbers (cc) <span class="html-fig-inline" id="children-11-01251-i004"><img alt="Children 11 01251 i004" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i004.png"/></span>. The horizontal axis shows patients’ ages (months), and the vertical axis shows patients’ results.</p>
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<p>The relative counts (percentage of total lymphocytes) and absolute numbers of T CD8+ cytotoxic/suppressor cell subpopulations in a group of children with Down syndrome in relation to age-matched values. Reference minimal and maximal values <span class="html-fig-inline" id="children-11-01251-i001"><img alt="Children 11 01251 i001" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i001.png"/></span>, patients’ relative counts (%) <span class="html-fig-inline" id="children-11-01251-i003"><img alt="Children 11 01251 i003" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i003.png"/></span>, absolute numbers (cc) <span class="html-fig-inline" id="children-11-01251-i004"><img alt="Children 11 01251 i004" src="/children/children-11-01251/article_deploy/html/images/children-11-01251-i004.png"/></span>. The horizontal axis shows patients’ ages (months), and the vertical axis shows patients’ results.</p>
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11 pages, 488 KiB  
Article
Macronutrients in Human Milk and Early Childhood Growth—Is Protein the Main Driver?
by Jie Ma, Debra J. Palmer, Ching Tat Lai, Susan L. Prescott, Nina D’Vaz, Philip Vlaskovsky, Lisa F. Stinson, Zoya Gridneva and Donna T. Geddes
Nutrients 2024, 16(20), 3514; https://doi.org/10.3390/nu16203514 - 16 Oct 2024
Viewed by 517
Abstract
Background: Infant growth trajectories reflect current health status and may predict future obesity and metabolic diseases. Human milk is tailored to support optimal infant growth. However, nutrient intake rather than milk composition more accurately predicts growth outcomes. Although the role of protein leverage [...] Read more.
Background: Infant growth trajectories reflect current health status and may predict future obesity and metabolic diseases. Human milk is tailored to support optimal infant growth. However, nutrient intake rather than milk composition more accurately predicts growth outcomes. Although the role of protein leverage in infant growth is unclear, protein intake is important for early infancy growth. Materials and methods: This study of exclusively breastfeeding mothers with allergies (n = 161) from the Infant Fish Oil Supplementation Study assessed relationships between intake of human milk macronutrients and infant growth. Human milk fat, protein and lactose concentrations were measured at 3 months postpartum, and infant daily intakes were estimated using an average milk intake of 800 mL/day. Results: Higher human milk protein:energy ratio was associated with higher weight-for-age z-score at 2.5 years compared to 3 months and higher body mass index-for-age z-score change (6 months to 1 year compared to 3–6 months). Maternal atopy and birth season (summer) were negatively associated with human milk lactose concentration. Passive smoke exposure was associated with reduced energy and fat concentrations and increased lactose:energy ratio. Conclusions: Our results indicate that intake of human milk macronutrients may impact early childhood growth. Full article
(This article belongs to the Special Issue Prenatal and Early Postnatal Nutrition to Promote Offspring's Health)
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<p>Relationships of macronutrient and energy ratios with total daily energy intake. (<b>a</b>) protein: fat + lactose; (<b>b</b>) protein:fat; (<b>c</b>) protein:lactose. Red colour indicates females and blue indicates males.</p>
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29 pages, 18284 KiB  
Article
Enhancing Cellular Homeostasis: Targeted Botanical Compounds Boost Cellular Health Functions in Normal and Premature Aging Fibroblasts
by Ramona Hartinger, Khushboo Singh, Jesse Leverett and Karima Djabali
Biomolecules 2024, 14(10), 1310; https://doi.org/10.3390/biom14101310 - 16 Oct 2024
Viewed by 453
Abstract
The human skin, the body’s largest organ, undergoes continuous renewal but is significantly impacted by aging, which impairs its function and leads to visible changes. This study aimed to identify botanical compounds that mimic the anti-aging effects of baricitinib, a known JAK1/2 inhibitor. [...] Read more.
The human skin, the body’s largest organ, undergoes continuous renewal but is significantly impacted by aging, which impairs its function and leads to visible changes. This study aimed to identify botanical compounds that mimic the anti-aging effects of baricitinib, a known JAK1/2 inhibitor. Through in silico screening of a botanical compound library, 14 potential candidates were identified, and 7 were further analyzed for their effects on cellular aging. The compounds were tested on both normal aged fibroblasts and premature aging fibroblasts derived from patients with Hutchinson–Gilford Progeria Syndrome (HGPS). Results showed that these botanical compounds effectively inhibited the JAK/STAT pathway, reduced the levels of phosphorylated STAT1 and STAT3, and ameliorated phenotypic changes associated with cellular aging. Treatments improved cell proliferation, reduced senescence markers, and enhanced autophagy without inducing cytotoxicity. Compounds, such as Resveratrol, Bisdemethoxycurcumin, Pinosylvin, Methyl P-Hydroxycinnamate, cis-Pterostilbene, and (+)-Gallocatechin, demonstrated significant improvements in both control and HGPS fibroblasts. These findings suggest that these botanical compounds have the potential to mitigate age-related cellular alterations, offering promising strategies for anti-aging therapies, particularly for skin health. Further in vivo studies are warranted to validate these results and explore their therapeutic applications. Full article
(This article belongs to the Section Natural and Bio-derived Molecules)
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<p>The screening workflow used in virtual screening. Out of approximately 48,000 phytochemicals in the database, 2000 molecules showed a docking score above −6 kcal/mol for JAK-2. Among these, about 1500 molecules exhibited docking scores above −6 kcal/mol for JAK-1. Following this initial screening, approximately 275 phytochemicals were selected based on drug-likeness criteria (Lipinski rule of 5). From this subset, 21 molecules were prioritized for experimental validation.</p>
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<p>Detection of JAK-STAT inhibition by candidate botanical compounds. (<b>A</b>–<b>N</b>) P-STAT protein levels in control fibroblasts (5757C, SNS 15%) were quantified after treatment with specified botanical compounds for 3 days. Western blots are shown in <a href="#app1-biomolecules-14-01310" class="html-app">Figure S1</a>. The levels of P-STAT1 and P-STAT3 were quantified using Western blot analyses and normalized to GAPDH. Bars marked with a red cross (+) indicate concentrations at which the compounds exhibited cytotoxic effect, as evidenced by increased cell death compared to mock-treated counterparts.</p>
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<p>Cumulative population doubling (CPD) was measured after 7 days of long-term treatment with botanical compounds at indicated various different concentrations in control fibroblasts (representative strain 5757C, SNS~15%). Mock-treated control cells are depicted in black.</p>
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<p>Cumulative population doubling (CPD) and percentage of dead cells in control and HGPS fibroblasts. Control fibroblast (strains 5757C, 5567A, F369, M368) and HGPS fibroblast (strains P003, P127, P271) cultures with a senescence level of ~15% were grown and treated under varying conditions for 7 days. The treatment groups included no compound (mock), 2.5 μM (+)-Pinoresinol (S), 10 μM Resveratrol (R), 2 μM Bisdemethoxycurcumin (B), 1 μM Pinosylvin (P), 1.5 μM Methyl P-Hydroxycinnamate (M), 2.5 μM cis-Pterostilbene (Z), and 10 μM (+)-Gallocatechin (C). (<b>A</b>) Population doubling determined on day 7 of cultivation. (<b>B</b>) Percentage of dead cells on day 7 of cultivation. (<b>A</b>,<b>B</b>) Values are presented as mean ± SD (n = 4 for control, n = 3 for HGPS); * <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; assessed using unpaired <span class="html-italic">t</span>-test and one-way anova.</p>
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<p>Replicative senescence levels and cell cycle profiles of control and HGPS fibroblasts under different compound treatment conditions. Control fibroblasts (strains 5757C, 5567A, F369, M368) and HGPS fibroblasts (strains P003, P127, P271) with a senescence level of ~15% were cultured and treated for 7 days with the following: no compound (mock), 2.5 μM (+)-Pinoresinol (S), 10 μM Resveratrol (R), 2 μM Bisdemethoxycurcumin (B), 1 μM Pinosylvin (P), 1.5 μM Methyl P-Hydroxycinnamate (M), 2.5 μM cis-Pterostilbene (Z), and 10 μM (+)-Gallocatechin (C). (<b>A</b>) Percentage of senescent cells in control and HGPS groups (Control: n = 4, HGPS: n = 3). (<b>B</b>) Cell cycle profiles of control and HGPS groups. Relative percentages of cells in the G0/G1, S, and G2/M phases are shown. DNA was stained with propidium iodine (PI) (Control: n = 4, HGPS: n = 3). (<b>C</b>) Representative images of Western blot analyses for p16 and p21 proteins in total protein extracts. Normalized to GAPDH. Original western blots can be found at <a href="#app1-biomolecules-14-01310" class="html-app">Figure S3</a>. (<b>D</b>,<b>E</b>) Quantification of p16 and p21 protein levels normalized to GAPDH (<b>E</b>). Graphs display means ± SD (Control and HGPS n = 3); * <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; 0.0001; assessed using unpaired <span class="html-italic">t</span>-test and one-way anova.</p>
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<p>Western blot analysis of control and HGPS fibroblasts treated with botanical compounds. Control fibroblasts (5757C, 5567A, F369, M368) and HGPS fibroblasts (P003, P127, P271) with a senescence level of approximately 15% were treated for 7 days with no compound (mock), 2.5 μM (+)-Pinoresinol (S), 10 μM Resveratrol (R), 2 μM Bisdemethoxycurcumin (B), 1 μM Pinosylvin (P), 1.5 μM Methyl P-Hydroxycinnamate (M), 2.5 μM cis-Pterostilbene (Z), and 10 μM (+)-Gallocatechin (C). Panels (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>) show representative Western blot images for phosphorylated and total forms of STAT1 (<b>A</b>), STAT3 (<b>C</b>), AMPK (<b>E</b>), and NFκB (<b>G</b>) from three experiments (n = 3). Panels (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>) depict the ratios of phosphorylated to total STAT1 (<b>B</b>), STAT3 (<b>D</b>), AMPK (<b>F</b>), and NFκB (<b>H</b>) in both control and HGPS fibroblasts. Original western blots can be found at <a href="#app1-biomolecules-14-01310" class="html-app">Figure S3</a>. Graphs present mean ± SD; significance indicated by * <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; and **** <span class="html-italic">p</span> &lt; 0.0001, using an unpaired <span class="html-italic">t</span>-test and one-way anova.</p>
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<p>Assessment of ROS and autophagy levels in control and HGPS Fibroblasts. Control fibroblasts (5757C, 5567A, F369, M368) and HGPS fibroblasts (P003, P127, P271) with a senescence level of approximately 15% were treated for 7 days with no compound (mock) and with varying concentrations of the following botanical compounds: 2.5 μM (+)-Pinoresinol (S), 10 μM Resveratrol (R), 2 μM Bisdemethoxycurcumin (B), 1 μM Pinosylvin (P), 1.5 μM Methyl P-Hydroxycinnamate (M), 2.5 μM cis-Pterostilbene (Z), and 10 μM (+)-Gallocatechin (C). (<b>A</b>) Intracellular ROS levels were determined by measuring oxidized dichlorofluorescein (DCF) using the DCFDA cellular ROS detection assay (n = 3). (<b>B</b>) Autophagy levels were analyzed by measuring monodansylcadaverine (MDC) via fluorescence photometry (n = 3). (<b>C</b>,<b>E</b>) Representative Western blot images for p62 (<b>C</b>) and LC3B (<b>E</b>). (<b>D</b>) Quantification of p62 protein levels normalized to GAPDH (n = 3). Original western blots can be found at <a href="#app1-biomolecules-14-01310" class="html-app">Figure S4</a>. (<b>F</b>) Ratio of LC3B-II to LC3B-I (n = 3). Graphs show mean ± SD; significance levels are indicated by * (<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), and **** (<span class="html-italic">p</span> &lt; 0.0001), analyzed using an unpaired <span class="html-italic">t</span>-test and one-way anova.</p>
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<p>Heatmap illustrates the effects of botanical compounds on various cellular functions and pathways in control and HGPS fibroblasts. Dark green indicates significant amelioration, light green represents non-significant amelioration, orange denotes a non-significant negative effect, and grey indicates no change.</p>
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13 pages, 1651 KiB  
Article
Impact of Dupilumab on Skin Surface Lipid-RNA Profile in Severe Asthmatic Patients
by Yoshihiko Sato, Hitoshi Sasano, Sumiko Abe, Yuuki Sandhu, Shoko Ueda, Sonoko Harada, Yuki Tanabe, Kyoko Shima, Tetsuya Kuwano, Yuya Uehara, Takayoshi Inoue, Ko Okumura, Kazuhisa Takahashi and Norihiro Harada
Curr. Issues Mol. Biol. 2024, 46(10), 11425-11437; https://doi.org/10.3390/cimb46100680 - 15 Oct 2024
Viewed by 182
Abstract
The analysis of skin surface lipid-RNAs (SSL-RNAs) provides a non-invasive method for understanding the molecular pathology of atopic dermatitis (AD), but its relevance to asthma remains uncertain. Although dupilumab, a biologic drug approved for both asthma and AD, has shown efficacy in improving [...] Read more.
The analysis of skin surface lipid-RNAs (SSL-RNAs) provides a non-invasive method for understanding the molecular pathology of atopic dermatitis (AD), but its relevance to asthma remains uncertain. Although dupilumab, a biologic drug approved for both asthma and AD, has shown efficacy in improving symptoms for both conditions, its impact on SSL-RNAs is unclear. This study aimed to investigate the impact of dupilumab treatment on SSL-RNA profiles in patients with severe asthma. An SSL-RNA analysis was performed before and after administering dupilumab to asthma patients requiring this intervention. Skin samples were collected non-invasively from patients before and after one year of dupilumab treatment. Although 26 patients were enrolled, an SSL-RNA analysis was feasible in only 7 due to collection challenges. After dupilumab treatment, improvements were observed in asthma symptoms, exacerbation rates, and lung function parameters. Serum levels of total IgE and periostin decreased. The SSL-RNA analysis revealed the differential expression of 218 genes, indicating significant down-regulation of immune responses, particularly those associated with type 2 inflammation, suggesting potential improvement in epithelial barrier function. Dupilumab treatment may not only impact type 2 inflammation but also facilitate the normalization of the skin. Further studies are necessary to fully explore the potential of SSL-RNA analysis as a non-invasive biomarker for evaluating treatment response in asthma. Full article
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<p>(<b>a</b>) Volcano plot of differentially expressed genes between 12 months of dupilumab treatment and 0 months (pre-treatment). The red dots indicate genes up-regulated 12 months after dupilumab treatment and the blue dots indicate those down-regulated at 12 months (Benjamini and Hochberg’s false discovery rate (FDR)  &lt;  0.05). Change in expression level of inflammation (<b>b</b>) and skin barrier-related genes (<b>c</b>) between 0 months and 12 months after dupilumab treatment. (** FDR &lt; 0.01, * FDR &lt; 0.05; Benjamini and Hochberg’s false discovery rate (FDR)  &lt;  0.05).</p>
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<p>Results of enrichment analysis for the Reactome database in down-regulated genes (<b>a</b>) and up-regulated genes (<b>b</b>) 12 months after dupilumab treatment (Benjamini and Hochberg’s false discovery rate (FDR) &lt; 0.05).</p>
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<p>Results of GSVA. Change in score of the three eosinophil-related (#1, #2, #3; (<b>a</b>), (<b>b</b>), (<b>c</b>), respectively), Th2-related (<b>d</b>), and skin barrier-related (<b>e</b>) gene signatures between 0 months and 12 months after dupilumab treatment. GSVA: gene set variation analysis. #1, #2, #3; GSVA signature scores of the three eosinophil-related gene set. ** <span class="html-italic">p</span> &lt; 0.01; paired <span class="html-italic">t</span>-test.</p>
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8 pages, 928 KiB  
Brief Report
Modifications in Immune Response Patterns Induced by Kynurenine and One-Residue-Substituted T Cell Epitopes in SARS-CoV-2-Specific Human T Cells
by Mieko Tokano, Rie Takagi and Sho Matsushita
COVID 2024, 4(10), 1676-1683; https://doi.org/10.3390/covid4100116 - 15 Oct 2024
Viewed by 309
Abstract
Peptide p176-190, derived from the SARS-CoV-2 spike protein, is one of the major T cell epitopes that elicits the HLA-DR-restricted IL-8 response of human CD4+ T cells. Using PBMCs from a healthy individual primed with an S-protein-based SARS-CoV-2 vaccine, we established a [...] Read more.
Peptide p176-190, derived from the SARS-CoV-2 spike protein, is one of the major T cell epitopes that elicits the HLA-DR-restricted IL-8 response of human CD4+ T cells. Using PBMCs from a healthy individual primed with an S-protein-based SARS-CoV-2 vaccine, we established a CD4+ T cell line (TM45) and cloned T cells (TM45.2) specific for the peptide. We showed that (i) co-incubation with kynurenine leads to increased IL-8; (ii) T cells incubated in the absence of kynurenine recovered the original levels of cytokine production; and (iii) peptide p176-190 substituted at 176 Leucine for neutral hydrophilic serine completely abolished the cytokine responses of TM45.2 cells, thereby suggesting that 176 L is the first anchor residue for binding to HLA-DR. These observations collectively indicate that (i) enhanced IL-8 responses can be induced by kynurenine, which is produced under infectious conditions in COVID-19; (ii) the response is not a permanent change in the T cell phenotype; and (iii) IL-8 responses associated with harmful neutrophil extracellular traps can be abrogated by a single amino acid substitution of the viral antigens. These findings may shed light on a novel strategy for designing vaccines for viral infections that are accompanied by increased kynurenine production. Full article
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<p>TM45 cells were incubated in the presence of irradiated (30 Gy) autologous PBMCs prepulsed with the peptide p176-190 and human rIL-2 (50 U/mL), with or without kynurenine. After 7 days, TM45 cells (1 × 10<sup>4</sup>/well) were cultured in 96-well flat-bottom culture plates in the presence of irradiated autologous PBMCs (1 × 10<sup>5</sup>/well) and 5 μM peptide p176-190 in R10H medium. Four days later, the culture supernatant fluid was collected for IL-8 (<b>A</b>) and GM-CSF (<b>B</b>) ELISAs (n = 6). Values obtained by subtracting the IL-8 concentration in the absence of peptide (Δpg/mL) are shown. * <span class="html-italic">p</span> &lt; 0.05, compared to ΔIL-8 with peptide p176-190 in the absence of kynurenine. (<b>C</b>) TM45 cells were incubated in the presence of irradiated (30 Gy) autologous PBMCs prepulsed with the peptide p176-190, human rIL-2 (50 U/mL), with or without kynurenine. After 7 days, TM45 cells (1 × 10<sup>4</sup>/well) were cultured in 96-well flat-bottom culture plates in the presence of irradiated autologous PBMCs (1 × 10<sup>5</sup>/well) and 5 μM peptide p176-190 using R10H medium. A portion of TM45 cells was maintained for an additional 7 days. Four days later, culture supernatant fluid was collected for an IL-8 ELISA (n = 6). Values obtained by subtracting the IL-8 concentration in the absence of the peptide (Δpg/mL) are shown. Data are expressed as the mean ± standard deviation (SD) and were compared using a one-way analysis of variance and Tukey’s post hoc test. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01 compared to Day 0 or Day 14.</p>
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<p>(<b>A</b>) An overhead view of the HLA class II-peptide complex from the perspective of the TCR. Peptides rotate 130 degrees counterclockwise with each advancement of one residue. Yellow painted parts of the beta 1 domain indicate polymorphic residues. This is an original illustration. (<b>B</b>) A schematic diagram of the HLA class II-peptide complex viewed from the N-terminus of the binding peptide along the longitudinal axis (displaying only the first 4 residues). This is an original illustration. (<b>C</b>) TM45.2 cells were cultured in 96-well flat-bottom culture plates in the presence of irradiated autologous PBMCs and three types of peptides using R10H medium. “WT” represents the peptide p176-190. L176S refers to peptide p176-190 with a substitution of leucine at position 176 replaced by the neutral hydrophilic serine, while M177S indicates peptide p176-190 with a substitution of methionine at position 177 replaced by the neutral hydrophilic serine. Four days later, culture supernatant fluid was collected for an IFNγ ELISA (n = 6). Data are expressed as the mean ± SD and were compared by a one-way analysis of variance and Tukey’s post hoc test. ** <span class="html-italic">p</span> &lt; 0.01 compared to the culture without peptide.</p>
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10 pages, 2102 KiB  
Article
Assays for Assessing Mycobacterium avium Immunity and Evaluating the Effects of Therapeutics
by Getahun Abate, Krystal A. Meza, Chase G. Colbert and Christopher S. Eickhoff
Pathogens 2024, 13(10), 903; https://doi.org/10.3390/pathogens13100903 - 15 Oct 2024
Viewed by 321
Abstract
In Europe and North America, the prevalence of pulmonary nontuberculous mycobacteria (NTM) is increasing. Most pulmonary NTM infections are caused by the Mycobacterium avium complex (MAC). Sadly, the treatment of pulmonary MAC is suboptimal with failure rates ranging from 37% to 58%. Therefore, [...] Read more.
In Europe and North America, the prevalence of pulmonary nontuberculous mycobacteria (NTM) is increasing. Most pulmonary NTM infections are caused by the Mycobacterium avium complex (MAC). Sadly, the treatment of pulmonary MAC is suboptimal with failure rates ranging from 37% to 58%. Therefore, there is a need to develop new therapeutics. Developing new immunotherapies and studying their interaction with standard or new drugs requires reliable assays. Four different assays including CFSE-based flow cytometry, in vitro protection assays, IFN-γ ELISPOT, and murine infection models were optimized using a reference strain of MAC (ATCC 700898) to help with the development of immunotherapies for MAC. Expansion of proliferating and IFN-γ producing human T cells is optimal after 7 days of stimulation with MAC at a multiplicity of infection (MOI) of 0.1, achieving a stimulation index of 26.5 ± 11.6 (mean ± SE). The in vitro protection assay for MAC works best by co-culturing T cells expanded for 7 days with MAC (MOI 1)-infected autologous macrophages. Aerosol MAC infection of mice allows measurement of the effects of the BCG vaccine and clarithromycin. IFN-γ ELISPOT assays with live MAC (MOI 3) stimulation of splenocytes from mice immunized with BCG help identify differences between unimmunized mice and mice immunized with BCG. In conclusion, multiple assays are available for use to identify MAC-specific effector T cells, which will help in the development of new therapeutics or vaccines against pulmonary MAC. Full article
(This article belongs to the Special Issue Recent Advances in Nontuberculous Mycobacteria (NTM))
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<p>Typical FACS plot showing flow cytometric gating for proliferating and IFN-γ-producing T cells. (<b>A</b>) Gating strategy. (<b>B</b>) Proliferating and IFN-γ-producing T cells in PBMCs stimulated with BCG or M. avium compared to PBMCs rested in the medium. Similar results were obtained by gating SSC/FSC first followed by live-dead/CD3, CD3/γδ, CD4 or CD8, and then IFN-γ/CFSE.</p>
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<p>Stimulation of PPD-positive PBMCs with MAC leads to significant expansion of CD4 and CD8 T cells. PBMCs from PPD-positive volunteers (<span class="html-italic">n</span> = 5) were stimulated with BCG or MAC WL for 7 days. Medium-rested (MR) PBMCs were used as negative controls. There was a significant expansion of CD4 (<b>A</b>) and CD8 (<b>B</b>) T cells with both BCG and MAC WL (*, <span class="html-italic">p</span> &lt; 0.05, Mann–Whitney U test).</p>
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<p>BCG vaccination in humans induces MAC cross-reactive T cells. Paired pre- and post-vaccination PBMCs from recently BCG-vaccinated volunteers living in the USA (<span class="html-italic">n</span> = 5) were used. PBMCs were labeled with CFSE and stimulated with different concentrations of MAC WL. Medium-rested PBMCs were used as negative controls. On day 7, cells were restimulated with PMA/ionomycin for 2 h, viable cells were counted, and cells were stained for surface and intracellular markers for the flow cytometry study. (<b>A</b>) Stimulation index of proliferating (CFSElo) and IFN-γ-producing CD4<sup>+</sup> T cells. (<b>B</b>) Stimulation index of proliferating (CFSElo) and IFN-γ-producing CD4<sup>+</sup> T cells. * <span class="html-italic">p</span> &lt; 0.05 (Wilcoxon matched pairs test).</p>
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<p>BCG-specific T cells cross-protect against MAC. Human monocytes from different volunteers were infected at different multiplicities of infection (MOI) overnight with MAC (ATCC 700898). Following infection, extracellular mycobacteria were washed away, and after various further incubation periods, macrophages were lysed and released mycobacteria by the <sup>3</sup>H-uridine incorporation assay. MAC replicates inside macrophages, making them amenable to T cell effector functions. The results from a rapid <sup>3</sup>H-uridine incorporation assay for MAC (<b>A</b>) were confirmed by CFU-plating of cultures at selected time points. (<b>B</b>) BCG-expanded T cells inhibit intracellular MAC potently as they inhibit intracellular BCG. PBMCs from BCG-vaccinated or latently individuals with TB infection were stimulated with the optimal concentration of live BCG in vitro for 7 days and co-cultured with autologous macrophages infected with either BCG (<span class="html-italic">n</span> = 8) or MAC. Residual mycobacteria were quantified 3 days after co-culture, and % inhibition was calculated by dividing the number of residual mycobacteria in the presence of BCG-stimulated PBMCs by the number of residual mycobacteria in co-cultures containing medium-rested PBMCs. BCG-expanded T cells inhibited intracellular MAV better than intracellular BCG (<span class="html-italic">p</span> &lt; 0.01, Mann–Whitney U test).</p>
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<p>BCG vaccination renders MAC reactive immunity. Three groups of C57BL/6 mice were used. The first group (<span class="html-italic">n</span> = 3) was kept without vaccination. The second group was vaccinated with BCG (10 × 10<sup>6</sup>), intranasal (IN), and the third group was vaccinated with BCG, two doses 4 weeks apart. Mice were sacrificed 4 weeks after the last vaccination. Splenic cells were harvested and rested in the medium or stimulated overnight with live BCG and MAC, at a multiplicity of infection (MOI) of 3 in IFN-γ ELISPOT assays. Shown are mean ± SE from representative experiments expressed as IFN-γ spot-forming cells (SFCs) per million splenic cells. The number of IFN-γ SFCs following stimulation with BCG, MAC, and MAC-WL was significantly higher in BCG-vaccinated mice compared with unvaccinated mice (<span class="html-italic">p</span> &lt; 0.05, Mann–Whitney U test). A second BCG vaccination did not significantly increase the number of mycobacteria-induced IFN-γ SFCs (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Effects of the anti-MAC drug on MAC growth in the lungs. Mice were infected with MAC, and two weeks after infection, clarithromycin at a concentration ranging from 0.125 mg to 2 mg per 20 g was started. Clarithromycin was administered 5 days a week via gavage between weeks 2 and 6 post-infection. All mice were euthanized six weeks after infection, their lungs were homogenized, and CFUs were quantified by culturing on 7H10 media. All doses of clarithromycin used decreased lung CFUs significantly (<span class="html-italic">p</span> &lt; 0.05).</p>
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20 pages, 1427 KiB  
Review
Acute Respiratory Failure in Children: A Clinical Update on Diagnosis
by Beatrice Panetti, Ilaria Bucci, Armando Di Ludovico, Giulia Michela Pellegrino, Paola Di Filippo, Sabrina Di Pillo, Francesco Chiarelli, Marina Attanasi and Giuseppe Francesco Sferrazza Papa
Children 2024, 11(10), 1232; https://doi.org/10.3390/children11101232 - 12 Oct 2024
Viewed by 521
Abstract
Acute respiratory failure (ARF) is a sudden failure of the respiratory system to ensure adequate gas exchanges. Numerous clinical conditions may cause ARF, including pneumonia, obstructive lung diseases (e.g., asthma), restrictive diseases such as neuromuscular diseases (e.g., spinal muscular atrophy and muscular dystrophy), [...] Read more.
Acute respiratory failure (ARF) is a sudden failure of the respiratory system to ensure adequate gas exchanges. Numerous clinical conditions may cause ARF, including pneumonia, obstructive lung diseases (e.g., asthma), restrictive diseases such as neuromuscular diseases (e.g., spinal muscular atrophy and muscular dystrophy), and albeit rarely, interstitial lung diseases. Children, especially infants, may be more vulnerable to ARF than adults due to anatomical and physiological features of the respiratory system. Assessing respiratory impairment in the pediatric population is particularly challenging as children frequently present difficulties in reporting symptoms and due to compliance and cooperation in diagnostic tests. The evaluation of clinical and anamnestic aspects represents the cornerstone of ARF diagnosis: first level exams (e.g., arterial blood gas analysis) confirm and evaluate the severity of the ARF and second level exams help to uncover the underlying cause. Prompt management is critical, with supplemental oxygen, mechanical ventilation, and the treatment of the underlying problem. The aim of this review is to provide a comprehensive summary of the current state of the art in diagnosing pediatric ARF, with a focus on pathophysiology, novel imaging applications, and new perspectives, such as biomarkers and artificial intelligence. Full article
(This article belongs to the Section Pediatric Pulmonary and Sleep Medicine)
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<p>Pathophysiology of acute respiratory failure in infants and young children.</p>
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<p>The main causes of ARF in children.</p>
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10 pages, 1100 KiB  
Article
Multi-Ancestry Causal Association between Rheumatoid Arthritis and Interstitial Lung Disease: A Bidirectional Two-Sample Mendelian Randomization Study
by Bo-Guen Kim, Sanghyuk Yoon, Sun Yeop Lee, Eun Gyo Kim, Jung Oh Kim, Jong Seung Kim and Hyun Lee
J. Clin. Med. 2024, 13(20), 6080; https://doi.org/10.3390/jcm13206080 - 12 Oct 2024
Viewed by 394
Abstract
Abstract: Background: Rheumatoid arthritis (RA) is associated with diverse extra-articular manifestations, including interstitial lung disease (ILD). No previous studies have examined the bidirectional relationship between RA and ILD using the Mendelian randomization (MR) analyses. Therefore, we aimed to investigate this subject using [...] Read more.
Abstract: Background: Rheumatoid arthritis (RA) is associated with diverse extra-articular manifestations, including interstitial lung disease (ILD). No previous studies have examined the bidirectional relationship between RA and ILD using the Mendelian randomization (MR) analyses. Therefore, we aimed to investigate this subject using a two-sample bidirectional MR method. Methods: We performed bidirectional two-sample MR using summary statistics from genome-wide association studies (GWASs). The data are publicly available, de-identified, and from European (EUR) and East Asian (EAS) ancestries. Results: A total of 474,450 EUR participants and 351,653 EAS participants were included for either forward or reverse MR analysis. In our primary analysis, we found significant evidence of an increased risk of ILD associated with RA among individuals of EUR ancestry (ORMR-cML = 1.08; 95% confidence interval [CI] = 1.03–1.14; p = 0.003) and EAS ancestry (ORMR-cML = 1.37; 95% CI = 1.23–1.54; p < 0.001). Additionally, the reverse MR showed significant evidence of an increased risk of RA associated with ILD among those of EUR ancestry (ORMR-cML = 1.12; 95% CI = 1.05–1.19; p < 0.001). However, only one instrumental variable was selected in the EAS ILD GWAS, and there was no increased risk of RA associated with ILD in those of EAS ancestry (ORMR-cML = 1.02; 95% CI = 0.91–1.14; p = 0.740). Conclusions: Our findings indicate that RA and ILD have a bidirectional causal inference when using the MR analysis of GWAS datasets. The findings are only relevant for genetic predisposition; thus, further research is needed to determine the impact of non-genetic predispositions. Full article
(This article belongs to the Section Pulmonology)
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<p>The workflow of the Mendelian randomization study to estimate the causal effect of rheumatoid arthritis on the development of interstitial lung disease in European and East Asian populations [<a href="#B23-jcm-13-06080" class="html-bibr">23</a>,<a href="#B24-jcm-13-06080" class="html-bibr">24</a>].</p>
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<p>Mendelian randomization results regarding the causal effect of rheumatoid arthritis (RA) on the development of interstitial lung disease in European and East Asian populations. MR-cML, MR-constrained maximum likelihood; IVW, inverse-variance weighted; OR, odds ratio; 95% CI, 95% confidence interval; MR-PRESSO, MR pleiotropy residual sum and outlier.</p>
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<p>Mendelian randomization results regarding the causal effect of interstitial lung disease on the development of rheumatoid arthritis in European and East Asian populations. MR-cML, MR-constrained maximum likelihood; IVW, inverse-variance weighted; OR, odds ratio; 95% CI, 95% confidence interval; MR-PRESSO, MR pleiotropy residual sum and outlier.</p>
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