[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (570)

Search Parameters:
Keywords = chloramphenicol

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
12 pages, 2764 KiB  
Article
Proximal Co-Translation Facilitates Detection of Weak Protein-Protein Interactions
by Alina Kordonsky, Matan Gabay, Aurelia Rosinoff, Reut Avishid, Amir Flornetin, Noam Deouell, Taimaa Abd Alkhaleq, Noa Efron, Shoham Milshtein, Julia M. Shifman, Maayan Gal and Gali Prag
Int. J. Mol. Sci. 2024, 25(20), 11099; https://doi.org/10.3390/ijms252011099 (registering DOI) - 16 Oct 2024
Viewed by 196
Abstract
Ubiquitin (Ub) signals are recognized and decoded into cellular responses by Ub-receptors, proteins that tether the Ub-binding domain(s) (UBDs) with response elements. Typically, UBDs bind mono-Ub in highly dynamic and weak affinity manners, presenting challenges in identifying and characterizing their binding interfaces. Here, [...] Read more.
Ubiquitin (Ub) signals are recognized and decoded into cellular responses by Ub-receptors, proteins that tether the Ub-binding domain(s) (UBDs) with response elements. Typically, UBDs bind mono-Ub in highly dynamic and weak affinity manners, presenting challenges in identifying and characterizing their binding interfaces. Here, we report the development of a new approach to facilitate the detection of these weak interactions using split-reporter systems where two interacting proteins are proximally co-translated from a single mRNA. This proximity significantly enhances the readout signals of weak protein–protein interactions (PPIs). We harnessed this system to characterize the ultra-weak UBD and ENTH (Epsin N-terminal Homology) and discovered that the yeast Ent1-ENTH domain contains two Ub-binding patches. One is similar to a previously characterized patch on STAM1(signal-transducing adaptor molecule)-VHS (Vps27, Hrs, and STAM), and the other was predicted by AlphaFold. Using a split-CAT selection system that co-translates Ub and ENTH in combination with mutagenesis, we assessed and confirmed the existence of a novel binding patch around residue F53 on ENTH. Co-translation in the split-CAT system provides an effective tool for studying weak PPIs and offers new insights into Ub-receptor interactions. Full article
Show Figures

Figure 1

Figure 1
<p>Proximal co-translation from a single mRNA facilitates the detection of PPI. (<b>A</b>) In the polycistronic system, two proteins of interest (A and B) are encoded on the same plasmid under the same promoter. The two proteins are co-translated from the same mRNA, bringing them into close proximity and facilitating binding despite even weak affinity. This system minimizes the distance the two proteins need to diffuse to bind to each other. In contrast, when the two proteins are encoded on separate plasmids, each is transcribed and translated independently at different locations within the cell, reducing the likelihood of interaction due to their spatial separation. (<b>B</b>) Genetic selection system for testing binding affinity. The folding and activity of reporter proteins depend on the interaction between two proteins of interest (Prey and Bait), each fused to one of the split reporter protein fragments.</p>
Full article ">Figure 2
<p>Detection of weak PPIs in proximal co-translation versus separated translation systems. We employed co-translation systems to study weak protein–protein interactions. In all plots, pink represents co-translation systems, and blue represents separated translation systems. (<b>A</b>) N-CAT-ENTH and C-CAT-Ub selective growth in 10 μg/mL chloramphenicol media. (<b>B</b>) Same as in (<b>A</b>), but the split-CAT reporter was replaced with split-DHFR, and growth in minimal selective media was supplemented with 2.5 μg/mL trimethoprim. (<b>C</b>) Rpn10 and Ub fused with the split-CAT fragments, showing selective growth in 12 μg/mL chloramphenicol media (<b>D</b>) PLK4 and DCAF1 selective growth in 16 μg/mL chloramphenicol media using split-CAT. Quantification of the growth was calculated by the integration of the sigmoidal curves. The relative integral values are presented as bar charts.</p>
Full article ">Figure 3
<p>Homology-based structural model of ENTH:Ub. The complex structure of STAM1-VHS:Ub (PDB: 3LDZ) was superimposed on the structure of the yeast Ent1-ENTH domain (PDB: 5LOZ). (<b>A</b>) The alignment of the structures of VHS and ENTH suggests the binding patch of Ub on the ENTH surface. (<b>B</b>) Zoom-in view of the binding interface, showing the residues on the Ub-I44 patch. (<b>C</b>) Heatmap summarizing the relative growth efficiency of the indicated point mutants. The <span class="html-italic">E. coli</span> growth assay was performed on selective media with 10 μg/mL chloramphenicol. Growth efficiency compared to the WT Ub, measured by quantification of the spot’s growth over 24 h, integrating the sigmoidal growth curves. Red represents weaker binding, blue represents stronger binding, and the wild-type residues at each position are framed in black.</p>
Full article ">Figure 4
<p>ENTH possesses two Ub-binding patches. (<b>A</b>) Overlap of the AlphaFold2 model (Ub in orange, ENTH in blue) with the homology-based model (Ub in yellow, ENTH in light blue). (<b>B</b>) Zoom-in view of the ENTH:Ub interaction, highlighting the importance of F53 and A50. (<b>C</b>) Growth curves of wild-type ENTH and the indicated mutants in the co-translation system. (<b>D</b>) Bar-plot showing the relative cumulative growth based on the integrated growth curves.</p>
Full article ">
15 pages, 1685 KiB  
Article
Prevalence, Virulence Genes, Drug Resistance and Genetic Evolution of Trueperella pyogenes in Small Ruminants in Western China
by Yuchen Wei, Bin Wang, Ke Wu, Chenxiao Wang, Xindong Bai, Juan Wang and Zengqi Yang
Animals 2024, 14(20), 2964; https://doi.org/10.3390/ani14202964 (registering DOI) - 14 Oct 2024
Viewed by 290
Abstract
Trueperella pyogenes is a significant opportunistic pathogen that causes substantial economic losses in animal agriculture due to its ability to infect various animal tissues and organs. Limited research has been conducted on the prevalence and biological characteristics of T. pyogenes isolated from sheep [...] Read more.
Trueperella pyogenes is a significant opportunistic pathogen that causes substantial economic losses in animal agriculture due to its ability to infect various animal tissues and organs. Limited research has been conducted on the prevalence and biological characteristics of T. pyogenes isolated from sheep and goats. This study aimed to isolate T. pyogenes from clinical samples of sheep and goats in western China, examining genetic evolutionary relationships, antibiotic resistance, and virulence genes. Between 2021 and 2023, standard bacteriological methods were used to isolate and identify T. pyogenes from 316 samples (209 from goats and 107 from sheep) collected from 39 farms. Susceptibility to 14 antibiotics was tested using broth microdilution per CLSI guidelines, and PCR detected eight virulence genes. Whole-genome sequencing analyzed genetic relationships and gene carriage status in 39 isolates. The results indicated that 86 strains of T. pyogenes were isolated from 316 samples, yielding an isolation rate of 27.2% (goats n = 47, 22.5%; sheep n = 39, 36.4%). The virulence genes plo, cbpA, nanH, nanP, fimA, fimC, and fimE were present in 100%, 66.7%, 64.1%, 71.8%, 69.2%, 59.0%, and 82.1% of isolates, respectively, with none carrying the fimG gene. The dominant virulence genotype was plo/nanH/nanP/fimA/fimC/fimE. The isolates exhibited resistance to erythromycin (44.2%, 38/86), gentamicin (38.4%, 33/86), sulfamethoxazole/trimethoprim (37.2%, 32/86), tetracycline (32.6%, 28/86), and streptomycin (32.6%, 28/86), and low resistance to chloramphenicol (14.0%, 12/86), ciprofloxacin (7.0%, 6/86), penicillin (5.8%, 5/86), and clindamycin (4.7%, 4/86). All isolates were susceptible to cefotaxime, vancomycin, and linezolid. Among the 86 isolates, 37 (43.0%) displayed multidrug resistance (MDR) characteristics. The whole genome sequencing of 39 isolates identified eight types of resistance genes, including ant(2″)-Ia, ant(3″)-Ia, cmlA1, cmx, erm(X), lnu(A), sul1, and tet(W). Except for tet(W), erm(X), and sul1, the other resistance genes were reported for the first time in T. pyogenes isolated in China. The drug susceptibility test results and resistance gene detection for the isolated strains were consistent for tetracycline, erythromycin, gentamicin, and sulfisoxazole. Similar allelic profiles and genetic evolutionary relationships were found among isolates from different farms. This study highlights the antibiotic resistance status and virulence gene-carrying rate of Trueperella pyogenes, providing a basis for clinical medication. Full article
(This article belongs to the Section Veterinary Clinical Studies)
Show Figures

Figure 1

Figure 1
<p>Prevalence rate of <span class="html-italic">T. pyogenes</span> for different clinical manifestations in sheep and goats (** <span class="html-italic">p</span> &lt; 0.01).</p>
Full article ">Figure 2
<p>Different virulence gene prevalence rates of <span class="html-italic">T. pyogenes</span> isolates derived from sheep and goats (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01).</p>
Full article ">Figure 3
<p>Graphical representation of MIC distribution of 14 antimicrobial agents against <span class="html-italic">T. pyogenes</span> isolated from sheep and goats. All the isolates from goats (●), sheep (▲), and origin are represented on the abscissa axis, and every spot represents one single isolate. The results of MIC (μg/mL) of each antimicrobial against the isolates under study are indicated on the ordinate axis. The median is shown with a horizontal black line. * Statistically significant difference among the MIC distribution of <span class="html-italic">T. pyogenes</span> populations (* <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). Abbreviations PEN: Penicillin; A/C: amoxicillin and clavulanate potassium; E: erythromycin; CLI: clindamycin; CTX: cefotaxime; CIP: ciprofloxacin; VAN: vancomycin; SXT: Sulfamethoxazole/Trimethoprim (19/1); TE: tetracycline; FFC: florfenicol; CPL: chloramphenicol; SM: streptomycin; GEN: gentamicin; LZD: linezolid.</p>
Full article ">Figure 4
<p>Antimicrobial susceptibility of <span class="html-italic">T. Pyogenes</span> isolated from uterine lavage fluid in China. White, green, and grey bars represent the proportion of sensitive strains, moderately resistant strains, and resistant strains, respectively. Dark gray bars represent the respective strain’s proportion of multidrug resistance (MDR ≥ 3).</p>
Full article ">Figure 5
<p>Phylogenetic tree and distribution of virulence genes and antimicrobial resistance genes of the 39 <span class="html-italic">T. pyogenes</span> isolates from goats and sheep.</p>
Full article ">
14 pages, 2854 KiB  
Article
Serotype Distribution and Antimicrobial Resistance of Salmonella Isolates from Poultry Sources in China
by Chu Wang, Xianwen Wang, Juyuan Hao, He Kong, Liyuan Zhao, Mingzhen Li, Ming Zou and Gang Liu
Antibiotics 2024, 13(10), 959; https://doi.org/10.3390/antibiotics13100959 - 11 Oct 2024
Viewed by 407
Abstract
Background: Salmonella is an important zoonotic pathogen, of which poultry products are important reservoirs. This study analyzed the prevalence, antimicrobial resistance, and characterization of Salmonella from broiler and laying hen sources in China. Methods: A total of 138 (12.27%) strains of Salmonella were [...] Read more.
Background: Salmonella is an important zoonotic pathogen, of which poultry products are important reservoirs. This study analyzed the prevalence, antimicrobial resistance, and characterization of Salmonella from broiler and laying hen sources in China. Methods: A total of 138 (12.27%) strains of Salmonella were isolated from 1125 samples from broiler slaughterhouses (20.66%, 44/213), broiler farms (18.21%, 55/302), and laying hen farms (6.39%, 39/610). Multiplex PCR was used to identify the serotypes. Antibiotic susceptibility testing to a set of 21 antibiotics was performed and all strains were screened by PCR for 24 selected antimicrobial resistance genes (ARGs). In addition, 24 strains of Salmonella were screened out by whole-genome sequencing together with 65 released Salmonella genomes to evaluate phylogenetic characteristics, multilocus sequence typing (MLST), and plasmid carriage percentages. Results: A total of 11 different serotypes were identified, with the dominance of S. Enteritidis (43/138, 31.16%), S. Newport (30/138, 21.74%), and S. Indiana (19/138, 13.77%). The results showed that S. Enteritidis (34.34%, 34/99) and S. Newport (51.28%, 20/39) were the dominant serotypes of isolates from broilers and laying hens, respectively. The 138 isolates showed the highest resistance to sulfisoxazole (SXZ, 100%), nalidixic acid (NAL, 54.35%), tetracycline (TET, 47.83%), streptomycin (STR, 39.86%), ampicillin (AMP, 39.13%), and chloramphenicol (CHL, 30.43%), while all the strains were sensitive to both tigacycline (TIG) and colistin (COL). A total of 45.65% (63/138) of the isolates were multidrug-resistant (MDR) strains, and most of them (61/63, 96.83%) were from broiler sources. The results of PCR assays revealed that 63.77% of the isolates were carrying the quinolone resistance gene qnrD, followed by gyrB (58.70%) and the trimethoprim resistance gene dfrA12 (52.17%). Moreover, a total of thirty-four ARGs, eighty-nine virulence genes, and eight plasmid replicons were detected in the twenty-four screened Salmonella strains, among which S. Indiana was detected to carry the most ARGs and the fewest plasmid replicons and virulence genes compared to the other serotypes. Conclusions: This study revealed a high percentage of multidrug-resistant Salmonella from poultry sources, stressing the importance of continuous monitoring of Salmonella serotypes and antimicrobial resistance in the poultry chain, and emergency strategies should be implemented to address this problem. Full article
(This article belongs to the Special Issue Antimicrobial Resistance and Infections in Animals)
Show Figures

Figure 1

Figure 1
<p>Area, source, and overall isolation percentages of <span class="html-italic">Salmonella</span>. The Y-axis represents the positive percentage of <span class="html-italic">Salmonella</span>, and the X-axis represents the sampling area. The three different-colored columns represent the overall, broiler source, and laying hen source. There were no laying hen samples from Shandong Province, so the overall positivity percentage was consistent with the positivity percentage of the broiler samples.</p>
Full article ">Figure 2
<p>Sankey diagram of the regional distribution, source, serotype, and MDR index of all strains. The diameter of the line is proportional to the number of isolates from a given source, which is also shown in parentheses on the right. MDR denotes multidrug resistance.</p>
Full article ">Figure 3
<p>Antibiotic susceptibility pattern of <span class="html-italic">Salmonella</span> isolates. The X-axis represents the antibiotics used, and the Y-axis represents the proportion of strains with different sensitivities to the drugs. Red represents resistance, orange represents intermediate, and gray represents susceptible.</p>
Full article ">Figure 4
<p>Heatmap showing the AMR gene profiles identified in this study. Different groups of serotype strains are color-coded. The heatmap shows the profile of drug resistance genes detected in the studied isolates. The Y-axis shows the drug resistance gene detected, and the X-axis shows the serotype to which the detected strain belongs. Light gray, negative.</p>
Full article ">Figure 5
<p>Phylogenetic structure, region, sample source, serotype, MLST, antibiotic resistance genotype, virulence genotype, and replicon typing of 24 <span class="html-italic">Salmonella</span> strains. Hollow cells do not carry the relevant gene. Circles, replicon typing.</p>
Full article ">Figure 6
<p>Phylogenetic tree of strains of the same serotype and origin from the NCBI database worldwide. Different-colored branches represent closer relationships. The red highlights are the strains used in this study. The circles from inside to outside represent the regional year of the strain (circle 1), the geographical origin of the strain (circle 2), the sample source of the strain (circle 3), the serotype of the strain (circle 4), and the number of drug resistance genes carried by the strain (bar graph).</p>
Full article ">
17 pages, 1692 KiB  
Article
Characterization of Extraintestinal Pathogenic Escherichia coli Strains Causing Canine Pneumonia in China: Antibiotic Resistance, Virulence Genes, and Sequence Typing
by Jianyi Lai, Haibin Long, Zhihong Zhao, Gan Rao, Zhaojia Ou, Jiajie Li, Zhidong Zhou, Minhua Hu and Qingchun Ni
Vet. Sci. 2024, 11(10), 491; https://doi.org/10.3390/vetsci11100491 - 10 Oct 2024
Viewed by 465
Abstract
To determine the etiological agents responsible for acute pneumonia in puppies in China, this study utilized bronchoalveolar lavage (BAL) fluid extraction to enable the isolation, culture, biochemical identification, and 16S rRNA PCR amplification of the pathogens. Following preliminary identification, the pathogens underwent analysis [...] Read more.
To determine the etiological agents responsible for acute pneumonia in puppies in China, this study utilized bronchoalveolar lavage (BAL) fluid extraction to enable the isolation, culture, biochemical identification, and 16S rRNA PCR amplification of the pathogens. Following preliminary identification, the pathogens underwent analysis for antibiotic resistance phenotypes and resistance genes. Additionally, the study examined the presence of virulence genes, conducted multilocus sequence typing (MLST), and performed whole-genome sequencing (WGS). The findings revealed that all four isolated pathogens were characterized as extraintestinal pathogenic Escherichia coli (ExPEC). The examined ExPEC strains demonstrated resistance to cephalosporins, tetracyclines, and penicillins, while remaining susceptible to aminoglycosides, beta-lactamase inhibitors, carbapenems, chloramphenicols, and sulfonamides. An analysis of virulence genes identified the presence of eight genes, namely CNF-I, fyuA, fimC, papC, ompA, fimH, irp2, and iroN, which are implicated in their invasiveness and potential to inflict tissue damage. The MLST analysis revealed that all ExPEC strains were classified under either sequence type ST131 (Achtman database) or ST43 (Pasteur database). The study further determined that these strains were absent in the kennel’s drinking water source, thereby ruling out water contamination as a potential factor in the emergence of ST131-type ExPEC. This study offers a theoretical framework and empirical evidence for elucidating the potential pathogenic mechanisms and clinical therapeutic strategies of ExPEC in the etiology of acute pneumonia in puppies. Full article
(This article belongs to the Special Issue Bacterial Infectious Diseases of Companion Animals—2nd Edition)
Show Figures

Figure 1

Figure 1
<p>Pulmonary lesions in puppies with acute pneumonia. (<b>a</b>) The entire lung displays a dark red coloration; (<b>b</b>) the white arrow indicates gray-white necrotic lesions in the lung tissue.</p>
Full article ">Figure 2
<p>H&amp;E staining of pathological lung tissue at 10× magnification. Two main observations are noteworthy, including localized alveolar hemorrhage, indicated by the black arrow, and the infiltration of inflammatory cells, denoted by the red arrow.</p>
Full article ">
15 pages, 12189 KiB  
Article
Lactococcus garvieae as a Novel Pathogen in Cultured Pufferfish (Takifugu obscurus) in China
by Ruilong Xu, Zhongning He, Yiyang Deng, Yihao Cen, Zequan Mo, Xueming Dan and Yanwei Li
Fishes 2024, 9(10), 406; https://doi.org/10.3390/fishes9100406 - 10 Oct 2024
Viewed by 398
Abstract
In October 2023, a disease outbreak in pufferfish (Takifugu obscurus) farms in Zhongshan City, Guangdong, China, caused high mortality. Diseased fish (mean length: 15 ± 1 cm) exhibited swimming disorders, fin rot, hemorrhage, and an enlarged spleen. Histopathological observations generally revealed [...] Read more.
In October 2023, a disease outbreak in pufferfish (Takifugu obscurus) farms in Zhongshan City, Guangdong, China, caused high mortality. Diseased fish (mean length: 15 ± 1 cm) exhibited swimming disorders, fin rot, hemorrhage, and an enlarged spleen. Histopathological observations generally revealed inflammation, necrosis, and congestion in the spleen, kidneys, and brain tissues. The most severe pathological changes included interstitial edema and tubular atrophy in the kidneys, hemosiderin deposition in the spleen, massive red blood cell infiltration, and a decrease in lymphocytes. A single strain of bacteria (Tol-1) was isolated from the diseased pufferfish and identified as a Gram-positive streptococcus strain, exhibiting α-hemolysis on sheep blood agar plates. Through biochemical characterization, 16S rDNA sequencing, morphological analysis, and specific primer-based identification, the Tol-1 strain was identified as Lactococcus garvieae, serotype I. Antimicrobial susceptibility testing indicated that Tol-1 was sensitive to Chloramphenicol, Ampicillin, Cephalexin, and Doxycycline, but resistant to Kanamycin, Gentamicin and Ciprofloxacin. In addition, 15 common virulence factors were detected in the Tol-1 strain, including adhPav, adhPsaA, adhC I–II, adh, and hly 1–3. Pufferfish (mean length: 17 ± 1 cm) subjected to artificial infection via intraperitoneal injection (IP) with the Tol-1 strain exhibited clinical symptoms and histopathological damage similar to those observed in naturally infected fish. An infection dose of 1 × 105 CFU/fish resulted in 80% mortality. The study fulfilled Koch’s postulates, indicating that the disease outbreak in pufferfish was caused by L. garvieae, which exhibited a high mortality rate in pufferfish despite the subtle clinical symptoms. These results serve as a warning for pufferfish farming areas and provide a scientific basis for future prevention and control efforts. Full article
(This article belongs to the Special Issue Fish Immunological Mechanism and Control of Pathogens)
Show Figures

Figure 1

Figure 1
<p>Clinical symptoms of naturally infected <span class="html-italic">T. obscurus</span>. (<b>A</b>) Abdominal skin hemorrhage (black dashed line box), redness, and abdominal swelling (black arrow); (<b>B</b>) Hemorrhage on dorsal, ventral, and pectoral fins (black arrow); (<b>C</b>) Splenomegaly (white arrow) and gastric congestion (black arrow).</p>
Full article ">Figure 2
<p>Histopathological changes in <span class="html-italic">T. obscurus</span> with natural infection. (<b>A</b>) Kidney: scattered erythrocytes and inflammatory cell infiltration appear between the tissues (dashed box), renal interstitial edema (asterisk), renal tubule atrophy, and epithelial cell shedding (white arrow). (<b>B</b>) Spleen: increased erythrocyte count and phagocytic cell aggregation (black arrow) with hemosiderin deposited in several places, accompanied by fibrinoid degeneration (dashed box) and tissue necrosis (asterisk). (<b>C</b>) Brain: slight thickening and congestion of the meninges (asterisks), increased capillaries (white arrows), and neurons exhibited degeneration and necrosis (black arrows); the brain tissue became edematous (dashed box).</p>
Full article ">Figure 3
<p>Morphology and hemolysis of the Tol-1 isolated strain. (<b>A</b>) Colony morphology observed on BHI agar plates; (<b>B</b>) Gram stain; and (<b>C</b>) hemolysis of strain on sheep blood agar plates.</p>
Full article ">Figure 4
<p>Construction of neighbor-joining phylogenetic tree based on the existing <span class="html-italic">Lactococcus</span> spp. from GenBank, with <span class="html-italic">Streptococcus</span> spp. as an outgroup.</p>
Full article ">Figure 5
<p>The Tol-1 isolated strain was amplified using 16S-23S rDNA primers (<b>A</b>) and molecular serotype specific primers for <span class="html-italic">L. garvieae</span> (<b>B</b>). M: DL2000 DNA Marker; 1: isolated strain of <span class="html-italic">T. obscurus</span>.</p>
Full article ">Figure 6
<p>An amplification of the virulence genes of the Tol-1 isolated strain. M: DL2000 DNA Marker; 1–3: hemolysin 1–3; 4: NADH oxidase; 5: superoxide dismutase; 6: phosphoglucomutase; 7: adhesin pav; 8: Adhesin psaA; 9: enolase; 10–13: LPxTG 1–4; 14–15: adhesin cluster 1–2; 16: adhesin.</p>
Full article ">Figure 7
<p>In vivo infection <span class="html-italic">T. obscurus</span> with <span class="html-italic">L. garvieae</span> Tol-1 strain. (<b>A</b>,<b>B</b>) Control group; (<b>C</b>,<b>D</b>) infection group; (<b>B</b>) healthy spleen (arrow); (<b>C</b>) the caudal fin was severely congested and ulcerated; the anal fin is congested (arrow); and (<b>D</b>) spleen enlargement (arrow).</p>
Full article ">Figure 8
<p>Histopathological changes in <span class="html-italic">T. obscurus</span> with artificial infection of <span class="html-italic">L. garvieae</span>. (<b>A</b>–<b>C</b>) Control group; (<b>D</b>–<b>F</b>) infection group. (<b>A</b>,<b>D</b>) Kidney: renal tubule atrophy and epithelial cell shed (black arrow), erythrocyte escape (white arrow), renal interstitial edema, loose tissue (asterisk), and inflammatory cell infiltration (dashed box). (<b>B</b>,<b>E</b>) Spleen: a lot of hemosiderosis (white arrow), increases in erythrocyte (asterisk), and a decrease in lymphocytes (black arrow). (<b>C</b>,<b>F</b>) Brain: the meninges are loosened and thickened, with a large number of erythrocytes (dotted box), the degeneration of some neurons (black arrow), and capillary congestion (asterisk).</p>
Full article ">Figure 9
<p>Survival rate of <span class="html-italic">T. obscurus</span> infected with <span class="html-italic">L. garvieae</span>.</p>
Full article ">
13 pages, 1966 KiB  
Review
Mechanistic Insights into Clinically Relevant Ribosome-Targeting Antibiotics
by Szymon J. Krawczyk, Marta Leśniczak-Staszak, Ewelina Gowin and Witold Szaflarski
Biomolecules 2024, 14(10), 1263; https://doi.org/10.3390/biom14101263 - 7 Oct 2024
Viewed by 470
Abstract
Antibiotics targeting the bacterial ribosome are essential to combating bacterial infections. These antibiotics bind to various sites on the ribosome, inhibiting different stages of protein synthesis. This review provides a comprehensive overview of the mechanisms of action of clinically relevant antibiotics that target [...] Read more.
Antibiotics targeting the bacterial ribosome are essential to combating bacterial infections. These antibiotics bind to various sites on the ribosome, inhibiting different stages of protein synthesis. This review provides a comprehensive overview of the mechanisms of action of clinically relevant antibiotics that target the bacterial ribosome, including macrolides, lincosamides, oxazolidinones, aminoglycosides, tetracyclines, and chloramphenicol. The structural and functional details of antibiotic interactions with ribosomal RNA, including specific binding sites, interactions with rRNA nucleotides, and their effects on translation processes, are discussed. Focus is placed on the diversity of these mechanisms and their clinical implications in treating bacterial infections, particularly in the context of emerging resistance. Understanding these mechanisms is crucial for developing novel therapeutic agents capable of overcoming bacterial resistance. Full article
(This article belongs to the Section Molecular Structure and Dynamics)
Show Figures

Figure 1

Figure 1
<p>Antibiotics actions during protein synthesis.</p>
Full article ">Figure 2
<p>The location of adenine residues when the A-site is unoccupied by any aa-tRNA (A-site free); when cognate aa-tRNA is bound to the A-site (cognate tRNA), which causes the flipping out of residues A1492 and A1493; and finally, when binding of paromomycin artificially flips out residues A1492 and A1493. PDB accession numbers are as follows: 1J5E (A-site free) [<a href="#B21-biomolecules-14-01263" class="html-bibr">21</a>], 1IBM (cognate tRNA) [<a href="#B28-biomolecules-14-01263" class="html-bibr">28</a>], and 1IBL (paromomycin) [<a href="#B28-biomolecules-14-01263" class="html-bibr">28</a>]. Green—adenine residues, red—anticodon stem-loop of the cognate tRNA, purple—paromomycin molecule.</p>
Full article ">Figure 3
<p>The binding site of tetracycline. Left panel: A, P, and E functional sites (grey—rRNA, blue—tetracycline, green—tetracycline-interacting rRNA). Right panel: tetracycline shown in blue; surrounding rRNA demonstrated in green (PDB accession no. 1I94).</p>
Full article ">
16 pages, 1077 KiB  
Article
Molecular Properties of Virulence and Antibiotic Resistance of Pseudomonas aeruginosa Causing Clinically Critical Infections
by Eric Monroy-Pérez, Jennefer Paloma Herrera-Gabriel, Elizabeth Olvera-Navarro, Lorena Ugalde-Tecillo, Luis Rey García-Cortés, Moisés Moreno-Noguez, Héctor Martínez-Gregorio, Felipe Vaca-Paniagua and Gloria Luz Paniagua-Contreras
Pathogens 2024, 13(10), 868; https://doi.org/10.3390/pathogens13100868 - 3 Oct 2024
Cited by 1 | Viewed by 589
Abstract
The increase in the number of hospital strains of hypervirulent and multidrug resistant (MDR) Pseudomonas aeruginosa is a major health problem that reduces medical treatment options and increases mortality. The molecular profiles of virulence and multidrug resistance of P. aeruginosa-associated hospital and [...] Read more.
The increase in the number of hospital strains of hypervirulent and multidrug resistant (MDR) Pseudomonas aeruginosa is a major health problem that reduces medical treatment options and increases mortality. The molecular profiles of virulence and multidrug resistance of P. aeruginosa-associated hospital and community infections in Mexico have been poorly studied. In this study, we analyzed the different molecular profiles associated with the virulence genotypes related to multidrug resistance and the genotypes of multidrug efflux pumps (mex) in P. aeruginosa causing clinically critical infections isolated from Mexican patients with community- and hospital-acquired infections. Susceptibility to 12 antibiotics was determined using the Kirby–Bauer method. The identification of P. aeruginosa and the detection of virulence and efflux pump system genes were performed using conventional PCR. All strains isolated from patients with hospital-acquired (n = 67) and community-acquired infections (n = 57) were multidrug resistant, mainly to beta-lactams (ampicillin [96.7%], carbenicillin [98.3%], cefalotin [97.5%], and cefotaxime [87%]), quinolones (norfloxacin [78.2%]), phenicols (chloramphenicol [91.9%]), nitrofurans (nitrofurantoin [70.9%]), aminoglycosides (gentamicin [75%]), and sulfonamide/trimethoprim (96.7%). Most strains (95.5%) isolated from patients with hospital- and community-acquired infections carried the adhesion (pilA) and biofilm formation (ndvB) genes. Outer membrane proteins (oprI and oprL) were present in 100% of cases, elastases (lasA and lasB) in 100% and 98.3%, respectively, alkaline protease (apr) and alginate (algD) in 99.1% and 97.5%, respectively, and chaperone (groEL) and epoxide hydrolase (cif) in 100% and 97.5%, respectively. Overall, 99.1% of the strains isolated from patients with hospital- and community-acquired infections carried the efflux pump system genes mexB and mexY, while 98.3% of the strains carried mexF and mexZ. These findings show a wide distribution of the virulome related to the genotypic and phenotypic profiles of antibiotic resistance and the origin of the strains isolated from patients with hospital- and community-acquired infections, demonstrating that these molecular mechanisms may play an important role in high-pathogenicity infections caused by P. aeruginosa. Full article
(This article belongs to the Special Issue Bacterial Infections: Surveillance, Prevention and Control)
Show Figures

Figure 1

Figure 1
<p>Hierarchical clustering of <span class="html-italic">P. aeruginosa</span> strains. The heat map is segmented into five panels, upper: (1) total cladogram of virulence genotype (VG), multidrug efflux pump (MEX), and genotype and antibiotic resistance phenotype (ARP), left: (2) VG in the upper, (3) MEX in the middle, (4) ARP in the lower, and (5) diagnosis and strain origin in the bottom panel. The right panel (pink) shows the absolute detection frequency by virulence genotype, multidrug efflux pump (MEX) and antibiotic resistance phenotype. The presence of a gene is represented in red and the absence in grey. Antibiotics (AB) are shown in <a href="#sec4-pathogens-13-00868" class="html-sec">Section 4</a>. ARP (resistome). CF = Cephalothin, CB = Carbenicillin, SXT = Trimethoprim-sulfamethoxazole, AM = Ampicillin, CL = Chloramphenicol, CFX = Cefotaxime, NOF = Norfloxacin, GE = Gentamicin, NF = Nitrofurantoin, NET = Netilmicin, AK = Amikacin, and CPF = Ciprofloxacin. Antibiotic resistance is represented in yellow and susceptibility in blue.</p>
Full article ">
25 pages, 4471 KiB  
Article
Escherichia coli and Enterobacteriaceae Counts, Virulence Gene Profile, Antimicrobial Resistance, and Biofilm Formation Capacity during Pig Slaughter Stages
by Madalena Maria Saldanha Coelho, Emilia Fernanda Agostinho Davanzo, Rebecca Lavarini dos Santos, Virgílio Hipólito de Lemos Castro, Hayanna Maria Boaventura da Costa, Bruno Stéfano Lima Dallago, Simone Perecmanis and Angela Patrícia Santana
Life 2024, 14(10), 1261; https://doi.org/10.3390/life14101261 - 3 Oct 2024
Viewed by 611
Abstract
This study aimed to count Enterobacteriaceae and Escherichia coli in different locations on pig carcasses (shank, loin, abdomen, shoulder, and jowl) from two slaughterhouses (A and B) between September 2019 and July 2021 during different slaughter stages (after bleeding, after passing through the [...] Read more.
This study aimed to count Enterobacteriaceae and Escherichia coli in different locations on pig carcasses (shank, loin, abdomen, shoulder, and jowl) from two slaughterhouses (A and B) between September 2019 and July 2021 during different slaughter stages (after bleeding, after passing through the epilator machine, after manual toileting in the dirty area, before and after evisceration, and after the final washing), as well as verify antimicrobial resistance and biofilm formation capacity. The main points of Enterobacteriaceae and E. coli contamination were identified in the two slaughterhouses through three collections. The stages with the highest counts were post-bleeding and evisceration in both slaughterhouses and after manual toileting in slaughterhouse B in the first collection. Most E. coli isolates were resistant to multiple antimicrobials, with higher resistance frequencies to amoxicillin, ampicillin, chloramphenicol, sulfonamides, and streptomycin. The virulence genes eae, stx1, and stx2 were also detected. Three isolates had all three genes and exhibited resistance to at least six antimicrobial classes (β-lactams, macrolides, aminoglycosides, sulfonamides, amphenicols, and quinolones). E. coli isolates also showed a high frequency of strains with moderate and strong in vitro biofilm-forming capacity. This is the first study to characterize microbial contamination by pig slaughter stage in the Federal District region, demonstrating the critical points for hygienic production. E. coli was isolated from the surface of pig carcasses, as well as the virulence genes stx1, stx2, and eae were detected. The multi-antimicrobial resistant isolates also had a moderate-to-strong biofilm formation capacity, thus demonstrating risks to public health. Full article
(This article belongs to the Section Microbiology)
Show Figures

Figure 1

Figure 1
<p>Pig carcass count of <span class="html-italic">Enterobacteriaceae</span> (CFU/cm<sup>2</sup>) in slaughterhouses A and B (1st and 2nd visits) by stage of technological processing of pig slaughter and by location/point on the carcass.</p>
Full article ">Figure 2
<p>General average of <span class="html-italic">Enterobacteriaceae</span> counts from all parts of the pig carcass, converted into log CFU/cm<sup>2</sup>, from each stage of the technological processing of slaughter in slaughterhouses A (1st visit) and B (1st and 2nd visits).</p>
Full article ">Figure 3
<p>Count of <span class="html-italic">E. coli</span>/cm<sup>2</sup> at different points on the pig carcass and at different stages of the slaughter process in slaughterhouses A and B (2nd collection).</p>
Full article ">Figure 4
<p>Count of <span class="html-italic">E. coli</span>/cm<sup>2</sup> at different points on the pig carcass and at different stages of the slaughter process in slaughterhouses A and B (1st collection).</p>
Full article ">Figure 5
<p>General average of <span class="html-italic">E. coli</span> counts in log CFU/cm<sup>2</sup> in different parts of the pig carcass from slaughterhouses A (1st collection) and B (1st and 2nd collection) at different stages of the slaughter process.</p>
Full article ">Figure 6
<p>Detection of virulence genes <span class="html-italic">stx1</span>, <span class="html-italic">stx2,</span> and <span class="html-italic">eae</span> by multiple PCR in <span class="html-italic">E. coli</span> isolates in pig carcasses from slaughterhouse B in two gels. (1) 100 bp marker, (2) negative control, (3) positive control for <span class="html-italic">stx1</span> gene (388 bp) in <span class="html-italic">E. coli</span>, (4) isolate 10D—negative, (5) isolate 10E—positive for <span class="html-italic">eae</span> gene (570 bp), (6) isolate 11A—positive for <span class="html-italic">eae</span> (570 bp) and <span class="html-italic">stx2</span> (807 bp) genes, (7) isolate 11D—positive for <span class="html-italic">eae</span> (570 bp), <span class="html-italic">stx1</span> (388 bp) and <span class="html-italic">stx2</span> (807 bp) genes, (8) isolate 12A—positive for <span class="html-italic">eae</span> genes (570 bp) and <span class="html-italic">stx1</span> (388 bp), (9) isolate 12D—positive for <span class="html-italic">eae</span> (570 bp) and <span class="html-italic">stx1</span> (388 bp) genes.</p>
Full article ">
27 pages, 5507 KiB  
Article
The Wound-Healing Effect of a Novel Fibroblasts-Impregnated Hydroxyethylcellulose Gel in a Rat Full-Thickness Burn Model: A Preclinical Study
by Yury A. Novosad, Anton S. Shabunin, Natella I. Enukashvily, Olga V. Supilnikova, Anastasia I. Konkina, Natalia Yu. Semenova, Gleb S. Yatsemirsky, Evgenii V. Zinoviev, Kristina N. Rodionova, Kirill L. Kryshen, Antonina Yu. Borodina, Alexander Yu. Makarov, Andrey M. Fedyuk, Alexander D. Nilov, Elena V. Chikulaeva, Lidiya S. Konkova, Irina S. Chustrak, Veronika V. Traxova, Platon A. Safonov, Sergey V. Vissarionov, Egor M. Prikhodko and Yury V. Yurkevichadd Show full author list remove Hide full author list
Biomedicines 2024, 12(10), 2215; https://doi.org/10.3390/biomedicines12102215 - 28 Sep 2024
Viewed by 466
Abstract
Background/Objectives: The objective of this study was to assess the efficacy of a cell-containing wound dressing based on fibroblasts in hydroxyethylcellulose (HEC) gel for the local treatment of deep partial-thickness and/or full-thickness skin burns in an animal model. Methods: The rats (male Wistar, [...] Read more.
Background/Objectives: The objective of this study was to assess the efficacy of a cell-containing wound dressing based on fibroblasts in hydroxyethylcellulose (HEC) gel for the local treatment of deep partial-thickness and/or full-thickness skin burns in an animal model. Methods: The rats (male Wistar, n = 100) were subjected to a full-thickness thermal burn (16 cm2). Radical necrectomy was performed one day after the burn. Three days later, the rats were randomly assigned to one of four groups: group 1 (no treatment), group 2 (chloramphenicol and methyluracil ointment, a routine clinical treatment), group 3 (a gel without cells, mock treatment), and group 4 (a dermal fibroblast-impregnated HEC gel). The treatment lasted for five days. The wound-healing process was evaluated by planimetric, cytologic, histologic, and immunohistochemical methods. Results: The differences in the rate of wound healing and the characteristics of wound cytology were identified. In the group 4, a regenerative type of cytogram was revealed, characterized by a significantly increased number of fibroblastic cells in comparison to samples from non-treated and mock-treated animals. Biopsy samples of burn wounds from animals in the group 4l demonstrated the presence of mature granulation tissue and a large number of microvessels. The repair process was stimulated, as evidenced by the increased thickness of newly formed granulation tissue and epidermis in the wound zone, elevated cellularity, and enhanced re-epithelialization activity. The number of Ki-67-positive proliferating cells was significantly higher in group 4 than in the control groups). A small number of non-proliferating donor fibroblasts was observed in the wound area 3 days after the end of treatment. Conclusions: The cell product is an effective agent for promoting wound healing during the regenerative phase. The experiments demonstrated that a gel populated by dermal fibroblasts can stimulate reparative regeneration processes in deep partial- and full-thickness burn wounds. Full article
(This article belongs to the Section Biomedical Engineering and Materials)
Show Figures

Figure 1

Figure 1
<p>The timeline of the experiment.</p>
Full article ">Figure 2
<p>Viability of cells in the gel. (<b>I</b>) Flow cytometry of non-permeabilized cells stained with propidium iodide (PI): (<b>a</b>) fibroblasts before loading into the HEC gel, (<b>b</b>) washed out of the gel at 24 h, and (<b>c</b>) at 48 h after loading into the HEC gel. The viable cells were not stained with PI and are therefore on the left side (black polygonal line) of the plots. (<b>II</b>) (<b>a</b>) Cells washed from the gel 48 h after loading were seeded and observed 24 h (<b>b</b>) and 120 h (<b>c</b>) after seeding. The image in IIa was taken from the cell counting chamber, cells were stained with trypan blue, (1)—scaffold fragments, (2)—live unstained cells, (3)—dead cells stained with the dye. Magnification 50×.</p>
Full article ">Figure 3
<p>Fibroblasts migration of the HEC gel. (<b>a</b>,<b>b</b>) Empty HEC gel (top rows in (<b>a</b>,<b>b</b>)) and fibroblasts (FB) labeled with uncoated iron oxide nanoparticles (bottom rows in (<b>a</b>,<b>b</b>)) and embedded in the HEC gel were injected subcutaneously (white arrows) into rats. The animals were MRI scanned (<b>c</b>) the next day (<b>a</b>) and 6 days (<b>b</b>) after injection. After scanning, the site of injection was excised and examined histologically using Perls Prussian Blue staining (<b>d</b>), which stains the iron oxide nanoparticles blue. The images in (<b>d</b>) were taken the next day (left image) and 6 days (right image) after injection. The presence of allogeneic fibroblasts in the burn wound was checked on day 12 of the experiment (3 days after the end of treatment) by fluorescence in situ hybridization (FISH) (<b>e</b>). Male fibroblasts in HEC gel were applied to the burn wound. On day 12, the wound area was excised, and paraffin sections were used for FISH with Y-chromosome probe (red). A confocal section (0.8 mkm) is shown. Nuclei were counterstained with DAPI. I, II—areas at a larger magnification. Scale bars are shown in the images.</p>
Full article ">Figure 4
<p>Visual examination of the wound in experimental groups. The timeline corresponds to the timeline in <a href="#biomedicines-12-02215-f001" class="html-fig">Figure 1</a>: 4 days—start of treatment, 9 days—end of treatment, 12, 16, 23, 30 days—3, 7, 14, 21 days after treatment.</p>
Full article ">Figure 5
<p>Analysis of cytological profiles (cytograms) frequencies (<b>A</b>) in the control and experimental groups. The days after the end of treatment are shown on the left side of each histogram. The cytological profiles were obtained through the analysis of wound prints. Examples of cytograms subtypes are given in (<b>B</b>). 1—polymorphonuclear leukocytes with cytological features of cellular destruction, 2—extracellular colonies of microorganisms, 3—polymorphonuclear leukocytes with intracellular and extracellular microorganisms, 4—monocytes, 5—polyblasts, 5a—polyblasts with vacuole, 6—leukocytes without microbial contamination, 7—lymphocytes, 8—macrophages, 9—fibroblasts. Magnification 400×.</p>
Full article ">Figure 6
<p>Morphology of the defect area. In control groups 1 (untreated) and 3 (HEC gel without cells) without Laevomecolum application, on days 16–30, more significant purulent inflammation (A) under a large scab (B), a smaller volume of granulation tissue, and less significant epidermalization were observed. On day 30, epidermal defects were observed in the Laevomecolum group (control group 2), and the bottom of the defect was covered with scar tissue (C). In the main group (HEC gel seeded with fibroblasts), there was more active growth of granulation tissue on days 16–30 than in the control groups. On day 30, complete epidermalization was observed with the formation of skin accessory structures (sebaceous glands, sweat glands, and hair follicles) and focal hyperocratosis (D). The timeline is the same as shown in <a href="#biomedicines-12-02215-f001" class="html-fig">Figure 1</a>. Scale bar—100 μm. Multiple vessels (E), acanthosis (F), leukocyte infiltrations (G), diapedesis hemorrhages (H), fibrinous exudate (I), keratinous cysts (J), sclerosis (K), edematous areas (L).</p>
Full article ">Figure 7
<p>Index of Ki-67-positive nuclei (I<sub>Ki-67</sub>, %) in epidermis and dermis of regenerating burn wound 14 days after the end of treatment. FB—fibroblasts in a gel scaffold; C1—control group 1 (no treatment); C2—control group 2 (Chloramphenicol and methyluracil ointment (Laevomecolum)); C3—control group 3 (empty gel scaffold without fibroblasts). *—significant differences as compared to C1, C2, C3 values (<span class="html-italic">p</span> ≤ 0.05).</p>
Full article ">Figure 8
<p>Epidermis thickness and depth of inflammatory infiltration in the wound edge section (μm) 14 days after the application of preparations to the surface of thermal burn. Hematoxylin and eosin staining. Turquise labels – epidermis, red labels – inflammatory infiltration. 400×. Scale bars are shown in the images.</p>
Full article ">Figure 9
<p>Comparative morphometric characterization of burn wound regeneration 14 days after application of dermal fibroblasts in hydroxyethylcellulose gel scaffold. FB—fibroblasts in a gel scaffold; C1—control group 1 (no treatment); C2—control group 2 (Chloramphenicol and methyluracil ointment (Laevomecolum)); C3—control group 3 (empty gel scaffold without fibroblasts).</p>
Full article ">
22 pages, 3870 KiB  
Article
Enhancing Antibiotic Efficacy with Natural Compounds: Synergistic Activity of Tannic Acid and Nerol with Commercial Antibiotics against Pathogenic Bacteria
by Guillermo Lorca, Diego Ballestero, Elisa Langa and María Rosa Pino-Otín
Plants 2024, 13(19), 2717; https://doi.org/10.3390/plants13192717 - 28 Sep 2024
Viewed by 421
Abstract
The search for synergies between natural products and commercial antibiotics is a promising strategy against bacterial resistance. This study determined the antimicrobial capacity of Nerol (NE) and Tannic Acid (TA) against 14 pathogenic bacteria, including ESKAPE pathogens. TA exhibited the lowest Minimum Inhibitory [...] Read more.
The search for synergies between natural products and commercial antibiotics is a promising strategy against bacterial resistance. This study determined the antimicrobial capacity of Nerol (NE) and Tannic Acid (TA) against 14 pathogenic bacteria, including ESKAPE pathogens. TA exhibited the lowest Minimum Inhibitory Concentrations (MICs) at 162.5 µg/mL against Pasteurella aerogenes and 187.5 µg/mL against Acinetobacter baumannii (WHO priority 1). NE showed its lowest MIC of 500 µg/mL against both Pasteurella aerogenes and Salmonella enterica. A total of 35 combinations of NE and 13 of TA with eight commercial antibiotics were analyzed. For NE, combinations with Streptomycin and Gentamicin were effective against Salmonella enterica, Bacillus subtilis, and Streptococcus agalactiae, with antibiotic MIC reductions between 75.0 and 87.5%. TA showed six synergies with Chloramphenicol, Ampicillin, Erythromycin, and Streptomycin against Acinetobacter baumannii, Streptococcus agalactiae, and Pasteurella aerogenes, with MIC reductions between 75.0 and 93.7%. Additionally, 31 additive effects with antibiotics for NE and 8 for TA were found. Kinetic studies on these synergies showed complete inhibition of bacterial growth, suggesting that natural products enhance antibiotics by facilitating their access to targets or preventing resistance. Given their safety profiles recognized by the EPA and FDA, these natural products could be promising candidates as antibiotic enhancers. Full article
Show Figures

Figure 1

Figure 1
<p>Isobolograms illustrate the interactions of Tannic Acid (TA) with the antibiotics (ABXs) where synergy was detected. The title of each subgraph indicates the bacterium studied along with the composition of the synergy showed in the isobologram.The x-axis represents TA concentrations, while the y-axis represents antibiotic concentrations. The solid line, known as the ‘addition line’, helps differentiate between additive effects—where points fall on or near this line—and synergistic effects, where concave isoboles are found below it. Additionally, there is a dashed line indicating the boundary of synergy. Points situated above or below this dashed line signify different degrees of synergistic interaction. Concentrations of ABXs and TA in (µg/mL).</p>
Full article ">Figure 2
<p>Isobolograms illustrate the interactions of Nerol (NE) with the antibiotics (ABXs) where synergy was detected. The title of each subgraph indicates the bacterium studied along with the composition of the synergy described in the isobologram.The x-axis represents NE concentrations, while the y-axis represents ABX concentrations. The solid line, known as the ‘addition line,’ helps differentiate between additive effects—where points fall on or near this line—and synergistic effects, where concave isoboles are found below it. Additionally, there is a dashed line indicating the boundary of synergy. Points situated above or below this dashed line signify different degrees of synergistic interaction. Concentrations of ABXs and NE in (µg/mL).</p>
Full article ">Figure 3
<p>Kinetic assay and Cmax and r values of Tannic Acid (TA) as natural products (NPs), antibiotics (ABXs), and their combinations against different bacteria. The title of each subgraph indicates the bacteria studied along with the composition of the synergy showed in the graph. Black represents the negative control, red represents the ABX concentration in the synergy, purple represents the NP concentration in the synergy, orange represents the Minimum Inhibitory Concentration (MIC) concentration of the ABX, and light blue represents the MIC concentration of the NP. The synergy is represented in green. Error bars indicate standard deviations (<span class="html-italic">n</span> = 4). Concentrations of ABXs and TA in (µg/mL). The color code used is described at the end of the chart.</p>
Full article ">Figure 4
<p>Kinetic assay and Cmax and r values of Nerol (NE) as natural products (NPs), antibiotics (ABXs), and their combinations against different bacteria. The title of each subgraph indicates the bacterium studied along with the composition of the synergy showed in the graph. Black represents the negative control, red represents the ABX concentration in the synergy, purple represents the NP concentration in the synergy, orange represents the Minimum Inhibitory Concentration MIC concentration of the ABX, and light blue represents the MIC concentration of the NP. The synergy is represented in green. Error bars indicate standard deviations (n = 4). Concentrations of ABXs and NE in (µg/mL). The color code used is described at the end of the chart.</p>
Full article ">Figure 5
<p>Chemical structure of Tannic Acid (<b>a</b>) and Nerol (<b>b</b>).</p>
Full article ">
16 pages, 6653 KiB  
Article
Chloramphenicol Interferes with 50S Ribosomal Subunit Maturation via Direct and Indirect Mechanisms
by Ting Yu and Fuxing Zeng
Biomolecules 2024, 14(10), 1225; https://doi.org/10.3390/biom14101225 - 27 Sep 2024
Viewed by 631
Abstract
Chloramphenicol (CAM), a well-known broad-spectrum antibiotic, inhibits peptide bond formation in bacterial ribosomes. It has been reported to affect ribosome assembly mainly through disrupting the balance of ribosomal proteins. The present study investigates the multifaceted effects of CAM on the maturation of the [...] Read more.
Chloramphenicol (CAM), a well-known broad-spectrum antibiotic, inhibits peptide bond formation in bacterial ribosomes. It has been reported to affect ribosome assembly mainly through disrupting the balance of ribosomal proteins. The present study investigates the multifaceted effects of CAM on the maturation of the 50S ribosomal subunit in Escherichia coli (E. coli). Using label-free quantitative mass spectrometry (LFQ-MS), we observed that CAM treatment also leads to the upregulation of assembly factors. Further cryo-electron microscopy (cryo-EM) analysis of the ribosomal precursors characterized the CAM-treatment-accumulated pre-50S intermediates. Heterogeneous reconstruction identified 26 distinct pre-50S intermediates, which were categorized into nine main states based on their structural features. Our structural analysis highlighted that CAM severely impedes the formation of the central protuberance (CP), H89, and H58 during 50S ribosomal subunit maturation. The ELISA assay further demonstrated the direct binding of CAM to the ribosomal precursors, suggesting that the interference with 50S maturation occurs through a combination of direct and indirect mechanisms. These findings provide new insights into the mechanism of the action of CAM and provide a foundation for a better understanding of the assembly landscapes of the ribosome. Full article
(This article belongs to the Special Issue The Structure and Function of Proteins, Lipids and Nucleic Acids)
Show Figures

Figure 1

Figure 1
<p>Ribosomal proteins and assembly factors are upregulated in CAM-treated cells. (<b>A</b>), Volcano plots showing the fold changes at the protein level. (<b>B</b>), The GO pathway analysis of the up-regulated proteins indicates the enrichment of the translation and ribosome biogenesis process. (<b>C</b>,<b>D</b>), Level of large (<b>C</b>) and small (<b>D</b>) subunit proteins in CAM<sup>−</sup> (blue dots) and CAM<sup>+</sup> (red dots) cells. Proteins without blue dots indicate that these were not detected in CAM<sup>−</sup> cells. (<b>E</b>), Fold changes of ribosomal proteins, assembly factors, and translation factors. L: large subunit. S: small subunit. (<b>F</b>), Level of assembly factors in CAM<sup>−</sup> (blue dots) and CAM<sup>+</sup> (red dots) cells. (<b>G</b>), The total content of Ala, Ser, and Thr in the up- and down-regulated proteins. Unchanged proteins are used as a reference. RPAF: ribosomal proteins and assembly factors. Red texts indicate the up-regulated proteins, blue texts indicate the down-regulated proteins. *, <span class="html-italic">p</span> &lt; 0.01; **, <span class="html-italic">p</span> &lt; 0.005; *** <span class="html-italic">p</span> &lt; 0.001.</p>
Full article ">Figure 2
<p>Isolation and structure determination of pre-50S<sub>CAM</sub>. (<b>A</b>,<b>B</b>) Sucrose gradient analysis of <span class="html-italic">E. coli</span> (MG1655) with (<b>A</b>) or without (<b>B</b>) 7 μg/mL of chloramphenicol. The grey area was collected for cryo-EM analysis. (<b>C</b>) Overall structure of pre-50S<sub>CAM</sub>. Panels (<b>i</b>–<b>v</b>) show the details of each structural module. Coordinates were extracted from 70S (PDB: 7K00) as the references to validate the presence/absence of proteins and rRNA.</p>
Full article ">Figure 3
<p>CP is severely impeded by CAM. (<b>A</b>) The mature 50S (PDB: 7K00) represents the assembly of CP, H68, and H90–92. (<b>B</b>–<b>J</b>) Same views as in (<b>A</b>) display different conformations of CP, H69, and H90–92 in the nine states.</p>
Full article ">Figure 4
<p>The base of H89 is affected by CAM. (<b>A</b>–<b>F</b>) Densities around H89 were shown for represented states. H89 is shown in red lines, and the mature base of H89 is labeled with a black arrow in state 9b. Other rRNAs are labeled as structure references.</p>
Full article ">Figure 5
<p>Bent L1–3 of ObgE in CAM–treated 50S precursors. (<b>A</b>) Structure characters of ObgE (extracted from PDB: 7BL2). (<b>B</b>) Binding of ObgE in 50S precursor under normal conditions (PDB: 7BL2). (<b>C</b>,<b>F</b>) The tips of ObgE (L1–3) are bent away from PTC. (<b>D</b>,<b>E</b>) L1–3 point to the PTC as in (<b>B</b>).</p>
Full article ">Figure 6
<p>Chloramphenicol affects multiple steps in 50S maturation. Addition of CAM impeded the assembly of early pre-50S (<b>a</b>), CP (<b>b</b>), H58 (<b>c</b>), and H89 (<b>d</b>). “Dead-end” ribosomes were also generated (<b>e</b>). Ribosomal proteins (<b>f</b>) and assembly factors (<b>g</b>) were upregulated to overcome the impact of CAM.</p>
Full article ">
18 pages, 3362 KiB  
Article
Novel Tricyclic Flavonoids as Promising Anti-MRSA Agents
by Cristina-Veronica Moldovan, Loredana-Elena Mantea, Mihaela Savu, Peter G. Jones, Laura Gabriela Sarbu, Marius Stefan and Mihail Lucian Birsa
Pharmaceuticals 2024, 17(10), 1276; https://doi.org/10.3390/ph17101276 - 26 Sep 2024
Viewed by 292
Abstract
Background: Methicillin-resistant Staphylococcus aureus (MRSA) is considered the main cause of nosocomial and community-associated infections. Because of antimicrobial resistance, MRSA infections are difficult or impossible to treat, leading to high mortality rates and significant economic and societal costs. In view of the MRSA [...] Read more.
Background: Methicillin-resistant Staphylococcus aureus (MRSA) is considered the main cause of nosocomial and community-associated infections. Because of antimicrobial resistance, MRSA infections are difficult or impossible to treat, leading to high mortality rates and significant economic and societal costs. In view of the MRSA challenge to public health all over the world, the identification of new and effective anti-MRSA agents is a high medical priority. Objectives: A new series of tricyclic flavonoids with a methyl substituent on ring A of the flavonoid skeleton was synthesized to assess their antimicrobial properties. Methods: The structures of novel synthetic tricyclic flavonoids and their 3-dithiocarbamic flavanones were proven by X-ray structural analyses. Minimum inhibitory concentration (MIC) and minimum bactericidal/fungicidal concentration (MBC/MFC) were used to evaluate antimicrobial activity. Growth kinetic and time–kill assays were employed to confirm the antibacterial effectiveness. The mechanism of action was investigated using fluorescence microscopy. Results: Our results show that the tricyclic flavonoids exhibited important antibacterial and antifungal activities, with MIC and MBC values as low as 1.95 µg/mL and 3.90 µg/mL recorded for compound 5e against a multidrug-resistant MRSA strain. Flavonoid 5e induced a more important bacteriostatic effect compared with chloramphenicol, inhibiting the bacterial growth for up to 24 h at concentrations equivalent to 2 × MIC. Also, 5e exhibited a significant bactericidal activity, with no viable cells evidenced after 6 h of incubation in the presence of MBC and a total kill effect recorded up to 24 h. The anti-MRSA activity may be explained by the cell membrane impairment induced by 5e. Conclusions: All the data support the idea that flavonoid 5e is a reliable candidate to develop effective anti-MRSA agents, but further studies are necessary. Full article
Show Figures

Figure 1

Figure 1
<p>Diastereoisomers of flavonones <b>4.</b></p>
Full article ">Figure 2
<p>(<b>a</b>). Structure of one of the two independent molecules of flavanone <b>4a</b>; ellipsoids represent 50% probability levels. (<b>b</b>). Least-squares fit of the two independent molecules of flavanone <b>4a</b>. Hydrogen atoms are omitted. Fitted atoms (r.m.s. deviation 0.03 Å) are labeled.</p>
Full article ">Figure 2 Cont.
<p>(<b>a</b>). Structure of one of the two independent molecules of flavanone <b>4a</b>; ellipsoids represent 50% probability levels. (<b>b</b>). Least-squares fit of the two independent molecules of flavanone <b>4a</b>. Hydrogen atoms are omitted. Fitted atoms (r.m.s. deviation 0.03 Å) are labeled.</p>
Full article ">Figure 3
<p>Molecular structure of flavanoid <b>5c</b>; ellipsoids represent 50% probability levels. The dashed line shows a short hydrogen bond H2⋯F2 of 2.36 Å between cation and anion; a further short contact H5⋯F5 of 2.30 Å connects the ions to form inversion-symmetric dimers.</p>
Full article ">Figure 4
<p>Dynamics of <span class="html-italic">Staphylococcus aureus</span> medbio1-2012 growth in the presence of <b>5e</b> (<b>a</b>) and chloramphenicol (<b>b</b>). MIC of <b>5e</b> = 1.95 µg/mL; MIC of chloramphenicol = 7.81 µg/mL. MRSA cells incubated in MHB served as growth control, and MHB supplemented with DMSO served as negative control. Values are expressed as means of three independent experiments. Bars indicate SEM.</p>
Full article ">Figure 5
<p>Time–kill curves of MRSA cells exposed to various concentrations of <b>5e</b> and chloramphenicol. MBC of <b>5e</b> = 3.90 μg/mL; MBC of chloramphenicol = 31.25 μg/mL. MRSA cells incubated in PBS served as growth control, and PBS supplemented with DMSO served as negative control. Values are expressed as means of three independent experiments. Bars indicate SEM.</p>
Full article ">Figure 6
<p>Effect of <b>5e</b> exposure on MRSA cell membrane integrity (<b>a</b>). Fluorescent images illustrating the impairment of cell membrane disruption effect, visualized by the uptake of the fluorescent nuclear stain, propidium iodide (<b>b</b>). Exponential-phase cells were incubated for 8 h in PBS supplemented with <b>5e</b> (final concentration equivalent to MBC) and stained with SYTO 9 and propidium iodide. MRSA cells incubated in PBS supplemented with DMSO served as negative control. Red staining indicates the cellular uptake of propidium iodide due to membrane injuries. Green cells are stained with SYTO 9 indicating intact membranes. Values are the mean of three replicates. Bars indicate SEM. Asterisks denote a significant difference (<span class="html-italic">p</span> &lt; 0.05) vs. Control (**** = <span class="html-italic">p</span> &lt; 0.0001).</p>
Full article ">Scheme 1
<p>The synthesis of tricyclic flavonoids <b>5a–e</b>.</p>
Full article ">
9 pages, 242 KiB  
Article
Cytotoxic Activity of Vancomycin-Resistant Enterococci Isolated from Hospitalised Patients
by Ewa Szczuka, Dominika Rolnicka and Maria Wesołowska
Pathogens 2024, 13(10), 827; https://doi.org/10.3390/pathogens13100827 - 25 Sep 2024
Viewed by 404
Abstract
Vancomycin-resistant enterococci (VRE) are considered one of the main nosocomial pathogens due to their increasing antibiotic resistance and ability to cause life-threatening infections in humans. This study included VRE isolates obtained from various specimens including urine, blood, faeces, wounds, sputum, and oral cavity [...] Read more.
Vancomycin-resistant enterococci (VRE) are considered one of the main nosocomial pathogens due to their increasing antibiotic resistance and ability to cause life-threatening infections in humans. This study included VRE isolates obtained from various specimens including urine, blood, faeces, wounds, sputum, and oral cavity wash. Of the 37 strains, 30 (81.1%) and 7 (18.9%) were identified by MALDI TOF as Enterococcus faecium and Enterococcus faecalis, respectively. The clinical vancomycin-resistant enterococci exhibited multi-drug resistance (MDR). Apart from vancomycin, the enterococci exhibited resistance to penicillins (89.1 to 100%), fluoroquinolones (100%), rifampicin (86.5%), tetracycline (27%), aminoglycosides (56.8 to 86.5%), quinupristin–dalfopristin (35.1%), and chloramphenicol (10.8%). Moreover, resistance to linezolid and tigecycline emerged among the tested vancomycin-resistant enterococci. The analysis of aminoglycoside modifying enzyme (AME) genes showed the presence of bifunctional aac(6)-Ie-aph(2)-Ia genes contributed to high-level aminoglycoside resistance (HLAR) in the E. faecalis and E. faecium isolates. The other AME gene, i.e., aph(3)-IIIa, was also found in the VRE isolates. All strains carried the vanA gene. Enterococci from colonised gastrointestinal tracts (1/2.7%) and from infection (6/16.2%) showed cytotoxic activity against the human epithelial cell line HEp-2. Full article
(This article belongs to the Special Issue Nosocomial Infection and Antimicrobial Resistance)
32 pages, 6288 KiB  
Review
A Decade of Antimicrobial Resistance in Human and Animal Campylobacter spp. Isolates
by Rita Barata, Maria José Saavedra and Gonçalo Almeida
Antibiotics 2024, 13(9), 904; https://doi.org/10.3390/antibiotics13090904 - 21 Sep 2024
Viewed by 1683
Abstract
Objectives: Campylobacter spp. remain a leading cause of bacterial gastroenteritis worldwide, with resistance to antibiotics posing significant challenges to treatment and public health. This study examines profiles in antimicrobial resistance (AMR) for Campylobacter isolates from human and animal sources over the past [...] Read more.
Objectives: Campylobacter spp. remain a leading cause of bacterial gastroenteritis worldwide, with resistance to antibiotics posing significant challenges to treatment and public health. This study examines profiles in antimicrobial resistance (AMR) for Campylobacter isolates from human and animal sources over the past decade. Methods: We conducted a comprehensive review of resistance data from studies spanning ten years, analyzing profiles in resistance to key antibiotics, ciprofloxacin (CIP), tetracycline (TET), erythromycin (ERY), chloramphenicol (CHL), and gentamicin (GEN). Data were collated from various regions to assess global and regional patterns of resistance. Results: The analysis reveals a concerning trend of increasing resistance patterns, particularly to CIP and TET, across multiple regions. While resistance to CHL and GEN remains relatively low, the high prevalence of CIP resistance has significantly compromised treatment options for campylobacteriosis. Discrepancies in resistance patterns were observed between human and animal isolates, with variations across different continents and countries. Notably, resistance to ERY and CHL showed regional variability, reflecting potential differences in antimicrobial usage and management practices. Conclusions: The findings underscore the ongoing challenge of AMR in Campylobacter, highlighting the need for continued surveillance and research. The rising resistance prevalence, coupled with discrepancies in resistance patterns between human and animal isolates, emphasize the importance of a One Health approach to address AMR. Enhanced monitoring, novel treatment strategies, and global cooperation are crucial for mitigating the impact of resistance and ensuring the effective management of Campylobacter-related infections. Full article
Show Figures

Figure 1

Figure 1
<p>Distribution of studies on human isolates of <span class="html-italic">Campylobacter</span> spp. by world region, methodologies used, and species identified.</p>
Full article ">Figure 2
<p>Distribution of studies on animal isolates (%) of <span class="html-italic">Campylobacter</span> spp. by world region, methodologies used, and species identified.</p>
Full article ">Figure 3
<p>Distribution of animal isolates (%) of <span class="html-italic">Campylobacter</span> spp. by animal type and species identified.</p>
Full article ">Figure 4
<p>Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from human and animal data from Africa.</p>
Full article ">Figure 5
<p>(<b>A</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. Isolates from humans from Africa between 2012 and 2022. (<b>B</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. Isolates from animals from Africa between 2012 and 2022.</p>
Full article ">Figure 6
<p>Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from human and animal data from Asia.</p>
Full article ">Figure 7
<p>(<b>A</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from humans from Asia between 2012 and 2022. (<b>B</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from animals from Asia between 2012 and 2022.</p>
Full article ">Figure 8
<p>Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from human and animal data from Europe.</p>
Full article ">Figure 9
<p>(<b>A</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from humans from Europe between 2012 and 2022. (<b>B</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from animals from Europe between 2012 and 2022.</p>
Full article ">Figure 10
<p>Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from human and animal data from North and Central America.</p>
Full article ">Figure 11
<p>(<b>A</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from humans from North and Central America between 2012 and 2022. (<b>B</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from animals from North and Central America between 2012 and 2022.</p>
Full article ">Figure 12
<p>Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from South America.</p>
Full article ">Figure 13
<p>(<b>A</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from humans from South America between 2012 and 2022. (<b>B</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from animals from South America between 2012 and 2022.</p>
Full article ">Figure 14
<p>(<b>A</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from humans from Oceania between 2012 and 2022. (<b>B</b>) Antibiotic resistance patterns of <span class="html-italic">Campylobacter</span> spp. isolates from animals from Oceania between 2012 and 2022.</p>
Full article ">
17 pages, 986 KiB  
Article
Exopolysaccharide (EPS) Produced by Leuconostoc mesenteroides SJC113: Characterization of Functional and Technological Properties and Application in Fat-Free Cheese
by Dominika Jurášková, Susana C. Ribeiro, Rita Bastos, Elisabete Coelho, Manuel A. Coimbra and Célia C. G. Silva
Macromol 2024, 4(3), 680-696; https://doi.org/10.3390/macromol4030040 - 18 Sep 2024
Viewed by 481
Abstract
A Leuconostoc mesenteroides strain (SJC113) isolated from cheese curd was found to produce large amounts of a mucoid exopolysaccharide (EPS). An analysis revealed the glucan nature of the EPS with 84.5% (1→6)-linked α-d-glucose units and 5.6% (1,3→6)-linked α-d-glucose units [...] Read more.
A Leuconostoc mesenteroides strain (SJC113) isolated from cheese curd was found to produce large amounts of a mucoid exopolysaccharide (EPS). An analysis revealed the glucan nature of the EPS with 84.5% (1→6)-linked α-d-glucose units and 5.6% (1,3→6)-linked α-d-glucose units as branching points. The EPS showed 52% dextranase resistance and a yield of 7.4 ± 0.9 g/L from MRS medium supplemented with 10% sucrose within 48 h. Ln. mesenteroides SJC113 was also characterized and tested for the production of EPS as a fat substitute in fresh cheese. Strain SJC113 showed high tolerance to a wide range of NaCl concentrations (2, 5 and 10%), high β-galactosidase activity (2368 ± 24 Miller units), cholesterol-reducing ability (14.8 ± 4.1%), free radical scavenging activity (11.7 ± 0.7%) and hydroxyl scavenging activity (15.7 ± 0.4%). The strain had no virulence genes and was sensitive to clinically important antibiotics such as ampicillin, tetracycline and chloramphenicol. Ln. mesenteroides SJC113 produced highly viscous EPS during storage at 8 °C in skim milk with 5% sucrose. Therefore, these conditions were used for EPS production in skim milk before incorporation into fresh cheese. Four types of fresh cheese were produced: full-fat cheese (FF) made from pasteurized whole milk, non-fat cheese (NF) made from pasteurized skim milk, non-fat cheese made from skim milk fermented with Ln. mesenteroides without added sugar (NFLn0) and non-fat cheese made from skim milk fermented with Ln. mesenteroides with 5% sucrose (NFLn5). While the NF cheeses had the highest viscosity and hardness, the NFLn5 cheeses showed lower firmness and viscosity, higher water-holding capacity and lower weight loss during storage. Overall, the NFLn5 cheeses had similar rheological properties to full-fat cheeses with a low degree of syneresis. It was thus shown that the glucan-type EPS produced by Ln. mesenteroides SJC113 can successfully replace fat without altering the texture of fresh cheese. Full article
Show Figures

Figure 1

Figure 1
<p>EPS production (mg/L) of <span class="html-italic">Ln. mesenteroides</span> SJC113 in skim milk and sweet whey with 5%, 10% and 20% sucrose. Different lowercase letters indicate a significant difference (<span class="html-italic">p</span> &lt; 0.05) between sucrose concentrations.</p>
Full article ">Figure 2
<p>Fermentation of skim milk with 0%, 5% and 10% sucrose by <span class="html-italic">Ln. mesenteroides</span> SJC113 at 4 °C and 8 °C. (<b>A</b>) Bacterial viability (circles) and pH values (squares) in the skim milk during fermentation time (5 days) at 4 °C (dashed line) and 8 °C (solid line). (<b>B</b>) Apparent viscosity (mPa.s) of fermented skim milk at 4 °C (dashed line) and 8 °C (solid line).</p>
Full article ">
Back to TopTop