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Search Results (140)

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15 pages, 2042 KiB  
Article
A Multi-Strain Oral Probiotic Improves the Balance of the Vaginal Microbiota in Women with Asymptomatic Bacterial Vaginosis: Preliminary Evidence
by Simone Filardo, Marisa Di Pietro, Paola Mastromarino, Maria Grazia Porpora and Rosa Sessa
Nutrients 2024, 16(20), 3469; https://doi.org/10.3390/nu16203469 - 14 Oct 2024
Viewed by 438
Abstract
Background/Objectives: the vaginal microbiota is known to confer protection in the genital ecosystem, due to the predominance of different Lactobacillus species, playing a crucial role in women’s health; alterations in the composition of the microbial communities in the vagina can be associated with [...] Read more.
Background/Objectives: the vaginal microbiota is known to confer protection in the genital ecosystem, due to the predominance of different Lactobacillus species, playing a crucial role in women’s health; alterations in the composition of the microbial communities in the vagina can be associated with the development of bacterial vaginosis (BV). Current therapy for BV involves oral or intravaginal administration of metronidazole or clindamycin, albeit the high recurrence rates suggest a need for alternative therapeutic tools, such as probiotics. Herein, the diversity and composition of vaginal microbiota in women with asymptomatic BV was investigated before and after the oral administration of a multi-strain probiotic formulation. Methods: a prospective observational pilot study with pre–post design was carried out from 1 June 2022, to 31 December 2022, on reproductive-age women with asymptomatic BV, as diagnosed via Nugent score, and matched healthy controls. The probiotic was administered to all study participants as acid-resistant oral capsules (twice daily), and a vaginal swab was collected at baseline and after 2 months of treatment, for the metagenomic analysis of 16s rDNA. Results: the diversity and richness of the vaginal microbiota in women with BV were significantly reduced after 2 months of supplementation with the oral probiotic, as evidenced by measures of α-diversity. Interestingly, some bacterial genera typically associated with dysbiosis, such as Megasphaera spp., were significantly decreased; whereas, at the same time, Lactobacillus spp. Doubled. Conclusions: our preliminary results suggest that the multi-strain oral probiotic is a beneficial treatment specifically targeting the dysbiotic vaginal microenvironment. Full article
(This article belongs to the Section Prebiotics and Probiotics)
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<p>Vaginal microbiota composition in women with BV and women with a healthy vaginal microbiota at baseline. Only taxa with abundances greater than 0.01% in any sample were included in the graph.</p>
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<p>Vaginal microbiota composition in the study population before and after 2 months of probiotic supplementation. Women with asymptomatic BV (<b>A</b>) and women with a healthy vaginal microbiota (<b>B</b>), at <span class="html-italic">t</span>0 and <span class="html-italic">t</span>1. Only taxa with abundances greater than 0.01% in any sample were included in the graphs. All values are expressed as mean ± relative standard error.</p>
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<p>Comparison of the alpha-diversity of the vaginal microbiota in women with BV and women with a healthy vaginal microbiota, at baseline (<span class="html-italic">t</span>0) and after (<span class="html-italic">t</span>1) 2 months of probiotic supplementation. Faith’s phylogenetic diversity and observed features were used as measures of alpha-diversity within groups. The circles out of range represent the outliers. * <span class="html-italic">p</span> &lt; 0.001 and ** <span class="html-italic">p</span> &lt; 0.0001 vs. women with a healthy vaginal microbiota.</p>
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<p>Comparison of the beta-diversity of the vaginal microbiota in women with BV and women with a healthy vaginal microbiota, at baseline (<span class="html-italic">t</span>0) and after (<span class="html-italic">t</span>1) 2 months of probiotic supplementation. On the left, the boxplot representations of within-group distances, and on the right the principal coordinate analysis (PCoA) plots, of unweighted and weighted UniFrac distance matrices, are illustrated. Each dot represents the vaginal bacterial community composition of one individual, and the groups were compared using Adonis for beta-diversity measures.</p>
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<p>ANCOM test of the vaginal microbiota between women with BV and women with a healthy genital microenvironment, either at baseline or after 2 months of probiotic supplementation. ANCOM employs a heuristic strategy to declare taxa that are significantly differentially abundant, and, for any given taxon, the output <span class="html-italic">W</span> statistic represents the number of additive log ratio (ALR) transformed models, where the taxon is differentially abundant; hence, the larger the value of <span class="html-italic">W</span>, the more likely the taxon is differentially abundant.</p>
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10 pages, 1955 KiB  
Brief Report
A Metagenomics Pipeline to Characterize Self-Collected Vaginal Microbiome Samples
by Krystal Thomas-White, Evann E. Hilt, Genevieve Olmschenk, Maryann Gong, Caleb D. Phillips, Courtney Jarvis, Nicholas Sanford, Jennifer White and Pita Navarro
Diagnostics 2024, 14(18), 2039; https://doi.org/10.3390/diagnostics14182039 - 13 Sep 2024
Viewed by 812
Abstract
Vaginitis is a widespread issue for women worldwide, yet current diagnostic tools are lacking. Bacterial vaginosis (BV) is the most prevalent type of vaginitis, found in 10–50% of reproductive-aged women. Current diagnostic methods for BV rely on clinical criteria, microscopy, or the detection [...] Read more.
Vaginitis is a widespread issue for women worldwide, yet current diagnostic tools are lacking. Bacterial vaginosis (BV) is the most prevalent type of vaginitis, found in 10–50% of reproductive-aged women. Current diagnostic methods for BV rely on clinical criteria, microscopy, or the detection of a few microbes by qPCR. However, many vaginal infections lack a single etiological agent and are characterized by changes in the vaginal microbiome community structure (e.g., BV is defined as a loss of protective lactobacilli resulting in an overgrowth of anaerobic bacteria). Shotgun metagenomic sequencing provides a comprehensive view of all the organisms present in the vaginal microbiome (VMB), allowing for a better understanding of all potential etiologies. Here, we describe a robust VMB metagenomics sequencing test with a sensitivity of 93.1%, a specificity of 90%, a negative predictive value of 93.4%, and a positive predictive value of 89.6% certified by Clinical Laboratory Improvement Amendments (CLIA), the College of American Pathologist (CAP), and the Clinical Laboratory Evaluation Program (CLEP). We sequenced over 7000 human vaginal samples with this pipeline and described general findings and comparisons to US census data. Full article
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<p>The Evvy VMB test workflow.</p>
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<p>Shotgun metagenomics resolution of mock community samples: (<b>A</b>) Of 1:10 dilution of mock community performed in the wet lab and (<b>B</b>) an in-silico subsampling of the initial mock community sample down to a 4-log decrease.</p>
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<p>Relative abundance graphs of vaginal samples. These profiles are example profiles containing the top 10 species detected by frequency and relative abundance (<a href="#diagnostics-14-02039-t002" class="html-table">Table 2</a>).</p>
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<p>Comparison of Evvy’s user data to the 2020 US census data. Percent of samples stratified by (<b>A</b>) age, or (<b>B</b>) self-reported race and ethnicity compared to reported US census data. * The follow race/ethnicity options were shortened for this figure: Black or African American, American Indian or Alaskan Native, Native Hawaiian or Pacific Islander.</p>
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27 pages, 673 KiB  
Review
Probiotics in the Management of Vulvovaginal Candidosis
by Karolina Akinosoglou, Georgios Schinas, Eleni Polyzou, Aristotelis Tsiakalos and Gilbert G. G. Donders
J. Clin. Med. 2024, 13(17), 5163; https://doi.org/10.3390/jcm13175163 - 30 Aug 2024
Viewed by 639
Abstract
Vulvovaginal candidosis (VVC) represents a frequent and cumbersome vaginal infection. Recurrent and/or persistent infections remain common among a significant number of patients despite the use of antifungals. Probiotics offer a promising adjunctive or alternative therapeutic strategy to antifungals in the management of VVC. [...] Read more.
Vulvovaginal candidosis (VVC) represents a frequent and cumbersome vaginal infection. Recurrent and/or persistent infections remain common among a significant number of patients despite the use of antifungals. Probiotics offer a promising adjunctive or alternative therapeutic strategy to antifungals in the management of VVC. We aimed to explore and thoroughly examine the various roles and potential applications of probiotics in VVC. A comprehensive literature search was conducted to identify relevant clinical trials and systematic reviews that examine the effectiveness of probiotics in the treatment and prevention of VVC and recurrent VVC (rVVC). Following the initial screening of 4563 articles, a total of 25 clinical studies and seven systematic reviews were finally included in this analysis. The studies reviewed provide a generally positive yet inconsistent view of the efficacy of probiotics in managing VVC, including clinical, mycological response, and prevention perspectives. Nonetheless, fluconazole remains more effective than probiotics in treating VVC, while the combination of the two seems to reduce recurrence and improve symptoms significantly. For prevention, probiotics seem to improve vaginal health and reduce symptoms, while safety and tolerability are consistently reported across the studies, affirming that probiotics represent a low-risk intervention. However, clear conclusions are difficult to establish since relative studies explore different clinical endpoints and follow-up times, variable populations are included, different probiotics are used, and diverse schedules and regimens are administered. We propose that future studies should study the benefit of probiotics in well-defined categories such as (1) treatment with acute probiotics instead of antifungals, (2) adjuvant probiotic therapy together or after antifungals, and (3) VVC recurrence prevention using probiotics. Full article
(This article belongs to the Section Infectious Diseases)
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<p>The selection process is visualized using a PRISMA flowchart, which delineates the stages of article elimination and selection.</p>
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16 pages, 3191 KiB  
Article
Unveiling Resistance and Virulence Mechanisms under Darwinian Positive Selection for Novel Drug Discovery for Gardnerella vaginalis
by Eduarda Guimarães Sousa, Andrei Giacchetto Felice, Fabiana Vieira Dominici, Arun Kumar Jaiswal, Mariana Letícia Costa Pedrosa, Luiza Pereira Reis, Lucas Gabriel Rodrigues Gomes, Vasco Ariston de Carvalho Azevedo and Siomar de Castro Soares
Venereology 2024, 3(3), 120-135; https://doi.org/10.3390/venereology3030010 - 1 Aug 2024
Viewed by 778
Abstract
Gardnerella vaginalis is a Gram-variable bacillus capable of causing bacterial vaginosis, a condition prevalent in reproductive-age women, this bacterium is present in almost 100% of cases and is also considered a gateway to various sexually transmitted infections. This organism exhibits high pathogenicity linked [...] Read more.
Gardnerella vaginalis is a Gram-variable bacillus capable of causing bacterial vaginosis, a condition prevalent in reproductive-age women, this bacterium is present in almost 100% of cases and is also considered a gateway to various sexually transmitted infections. This organism exhibits high pathogenicity linked to virulence and resistance genes acquired throughout evolution, showcasing elevated resistance to a broad spectrum of drug classes. This study conducted comparative genomic analyses to identify these genes and correlate their presence with positive Darwinian selection. Additionally, new drug targets were selected through docking and molecular modeling, guided by the heightened antimicrobial resistance exhibited by this microbial species. The available genomes of G. vaginalis were analyzed, and the orthologous genes were delineated and positively selected, whereby 29 groups were found. Of these genes, one of great importance was predicted, Mef(A), which is related to resistance to the macrolide group of antibiotics, which are one of the main choices for the treatment of sexually transmitted infections. Additionally, two potential protein candidates were selected as drug targets. These proteins were linked with a natural compound each and are considered good potential drug targets. The analyses in this study contribute to analyzing the evolution of the species and how resistance genes are related to their permanence as a potential pathogen. Full article
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<p>Workflow of methodologies used to select the drug candidates and genes related to Darwinian positive selection. Note: In this figure, a workflow with all the materials and methods used in this work can be observed, with the methods inside each of the oval balloons and the program symbol next to it.</p>
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<p>Analysis of pan-resistome and resistance genes using PRAP software v1.0. Note: (<b>A</b>) shows a growth curve of pan-resistome (in blue) and core resistome (in orange). In addition, dotted lines represent a curve of average and the fitting curve for pan-resistome and core resistome. In (<b>B</b>) the number of antibiotic resistance genes for each antibiotic class in different colors can be observed, such as tetracycline in purple, streptogramin in red, pleuromutilin in green, macrolide in orange, and lincosamide in blue.</p>
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<p>Analysis of pan-resistome and resistance genes using PRAP software v1.0. Note: (<b>A</b>) shows a growth curve of pan-resistome (in blue) and core resistome (in orange). In addition, dotted lines represent a curve of average and the fitting curve for pan-resistome and core resistome. In (<b>B</b>) the number of antibiotic resistance genes for each antibiotic class in different colors can be observed, such as tetracycline in purple, streptogramin in red, pleuromutilin in green, macrolide in orange, and lincosamide in blue.</p>
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<p>Tertiary structure of WP_004132099.1 and WP_004131683.1 predict by Alphafold. Note: Image (<b>A</b>) shows WP_004132099.1 tertiary structure predicts by Alphafold (in blue). Image (<b>B</b>) shows WP_004131683.1 tertiary structure predicts by Alphafold (in orange).</p>
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<p>Docking molecular analyses of the proposed new drug targets. Note: In (<b>A</b>), the protein WP_004132099.1 can be observed in blue color and its best compound ligand DLNC_ZINC08635277 in shades of blue color. The link between the protein and its ligand by the hydrogen bridge with the amino acid Tyrosine 250 (THR 250) is stained yellow. In (<b>B</b>), the protein WP_004131683.1 in orange color and its best compound ligand DLNC_ZINC03840479 in shades of green color can be observed. The link between the protein and its ligand via the hydrogen bridge with the amino acids Lysine 166 (LYS 166), Phenylalanine 202 (PHE 202), and Leucine 51(LEU 51) is stained yellow.</p>
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17 pages, 622 KiB  
Systematic Review
Vaginal Microbiome and Pregnancy Complications: A Review
by Angeliki Gerede, Konstantinos Nikolettos, Eleftherios Vavoulidis, Chrysoula Margioula-Siarkou, Stamatios Petousis, Maria Giourga, Panagiotis Fotinopoulos, Maria Salagianni, Sofoklis Stavros, Konstantinos Dinas, Nikolaos Nikolettos and Ekaterini Domali
J. Clin. Med. 2024, 13(13), 3875; https://doi.org/10.3390/jcm13133875 - 30 Jun 2024
Viewed by 1315
Abstract
Background/Objectives: There are indications that the microbial composition of the maternal mucosal surfaces is associated with adverse events during pregnancy. The aim of this review is to investigate the link between vaginal microbiome alterations and gestational complication risk. Methods: This comprehensive literature review [...] Read more.
Background/Objectives: There are indications that the microbial composition of the maternal mucosal surfaces is associated with adverse events during pregnancy. The aim of this review is to investigate the link between vaginal microbiome alterations and gestational complication risk. Methods: This comprehensive literature review was performed using Medline and Scopus databases. The following search algorithm was used, “Pregnancy Complications” [Mesh] AND (Vagin*), and after the literature screening, 44 studies were included in the final review. Results: The studies that were included investigated the association between vaginal microbial composition and preterm birth, miscarriage, preeclampsia, ectopic pregnancy, gestational diabetes mellitus, chorioamnionitis, and preterm premature rupture of membranes. In most of the studies, it was well established that increased microbial diversity is associated with these conditions. Also, the depletion of Lactobacillus species is linked to most of the gestational complications, while the increased relative abundance and especially Lactobacillus crispatus may exert a protective effect in favor of the pregnant woman. Several pathogenic taxa including Gardnerella, Prevotella, Sneathia, Bacterial Vaginosis-Associated Bacteria-2, Atopobium, and Megasphera seem to be correlated to higher maternal morbidity. Conclusions: Vaginal microbiome aberrations seem to have an association with pregnancy-related adverse events, but more high-quality homogenous studies are necessary to reliably verify this link. Full article
(This article belongs to the Section Obstetrics & Gynecology)
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<p>Flow diagram of the selection process of the included studies.</p>
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15 pages, 2251 KiB  
Article
Effect of Postbiotics Derived from Lactobacillus rhamnosus PB01 (DSM 14870) on Sperm Quality: A Prospective In Vitro Study
by Sihan Liu, Hiva Alipour, Vladimir Zachar, Ulrik Schiøler Kesmodel and Fereshteh Dardmeh
Nutrients 2024, 16(11), 1781; https://doi.org/10.3390/nu16111781 - 6 Jun 2024
Viewed by 1135
Abstract
Vaginally administered postbiotics derived from Lactobacillus were recently demonstrated to be effective in alleviating bacterial vaginosis and increasing pregnancy rates. However, their potential effect on sperm quality has not been well investigated. This controlled in vitro study aimed to assess the dose- and [...] Read more.
Vaginally administered postbiotics derived from Lactobacillus were recently demonstrated to be effective in alleviating bacterial vaginosis and increasing pregnancy rates. However, their potential effect on sperm quality has not been well investigated. This controlled in vitro study aimed to assess the dose- and time-dependent effects of postbiotics derived from Lactobacillus rhamnosus PB01 (DSM 14870) on sperm quality parameters. The experiment was conducted in vitro to eliminate potential confounding factors from the female reproductive tract and vaginal microbiota. Sperm samples from 18 healthy donors were subjected to analysis using Computer-Aided Sperm Analysis (CASA) in various concentrations of postbiotics and control mediums at baseline, 60 min, and 90 min of incubation. Results indicated that lower postbiotic concentration (PB5) did not adversely affect sperm motility, kinematic parameters, sperm DNA fragmentation, and normal morphology at any time. However, concentrations exceeding 15% demonstrated a reduction in progressively motile sperm and a negative correlation with non-progressively motile sperm at all time points. These findings underscore the importance of balancing postbiotic dosage to preserve sperm motility while realizing the postbiotics’ vaginal health benefits. Further research is warranted to understand the underlying mechanisms and refine practical applications in reproductive health. Full article
(This article belongs to the Section Prebiotics and Probiotics)
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<p>Mean percentage of progressively motile, non-progressively motile, and immotile spermatozoa, incubated in control (SW), 5% MRS broth (MRS5), 15% MRS broth (MRS15), 50% MRS broth (MRS50), 5% postbiotics (PB5), 15% postbiotics (PB15), and 50% postbiotics (PB50) at baseline (0 min), and after 60 and 90 min of incubation (n = 18). Error bars demonstrate standard deviation. * marks <span class="html-italic">p</span> &lt; 0.05, ** marks <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Mean percentage of progressively motile, non-progressively motile, and immotile spermatozoa, incubated in 5% postbiotics (PB5), 15% postbiotics (PB15), and 50% postbiotics (PB50) at baseline (0 min), and after 60 and 90 min of incubation (n = 18). Error bars demonstrate standard deviation. * marks <span class="html-italic">p</span> &lt; 0.05, ** marks <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Velocity parameters in control (SW), 5% MRS broth (MRS5), 15% MRS broth (MRS15), 50% MRS broth (MRS50), 5% postbiotics (PB5), 15% postbiotics (PB15), and 50% postbiotics (PB50) at baseline (0 min), and after 60 and 90 min of incubation (n = 18). The radius demonstrates the percentage of sperm in the respective group. VCL: Curvilinear velocity; VSL: Straight-line velocity; VAP: Average path velocity.</p>
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<p>Motion-path parameters in control (SW), 5% MRS broth (MRS5), 15% MRS broth (MRS15), 50% MRS broth (MRS50), 5% postbiotics (PB5), 15% postbiotics (PB15), and 50% postbiotics (PB50) at baseline (0 min), and after 60 and 90 min of incubation (n = 18). The radius demonstrates the percentage of sperm in the respective group. Lin: Linearity; STR: Straightness; WOB: Wobble, ALH: Amplitude of lateral head displacement; BCF: Beat cross frequency (BCF).</p>
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<p>Box and whisker plots demonstrating the percentage of sperm DNA fragmentation index. (DFI) in control (SW), 5% postbiotics (PB5), 15% postbiotics (PB15), and 50% postbiotics (PB50) at baseline (0 min), and after 90 min of incubation (n = 5) in sample subsets A (n = 5), and B (n = 5). The box spans the interquartile range (25–75); geometric symbols (squares, triangles, and circles) denote individual data points; whiskers demonstrate the range (min, max), and the horizontal line inside the box presents the median; ** <span class="html-italic">p</span> &lt; 0.01.</p>
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26 pages, 1869 KiB  
Article
Multiple Infections, Nutrient Deficiencies, and Inflammation as Determinants of Anemia and Iron Status during Pregnancy: The MINDI Cohort
by Doris González-Fernández, Elizabeta Nemeth, Emérita del Carmen Pons, Delfina Rueda, Odalis T. Sinisterra, Enrique Murillo, Veena Sangkhae, Lisa Starr, Marilyn E. Scott and Kristine G. Koski
Nutrients 2024, 16(11), 1748; https://doi.org/10.3390/nu16111748 - 2 Jun 2024
Viewed by 1543
Abstract
In pregnant women with multiple infections, nutrient deficiencies, and inflammation (MINDI), the study of anemia and iron status is limited. For this cross-sectional study (n = 213 Panamanian indigenous women), we investigated if hemoglobin, anemia (Hb < 110 g/L), ferritin, serum iron, [...] Read more.
In pregnant women with multiple infections, nutrient deficiencies, and inflammation (MINDI), the study of anemia and iron status is limited. For this cross-sectional study (n = 213 Panamanian indigenous women), we investigated if hemoglobin, anemia (Hb < 110 g/L), ferritin, serum iron, serum transferrin receptor, and hepcidin were associated with (1) maternal nutritional status and supplementation practices, (2) biomarkers of inflammation, and (3) presence/absence of infections. Hierarchical generalized linear and logistic regression models and dominance analyses identified the relative importance of these predictors. Anemia (38%), which was likely underestimated due to low plasma volume (95%), was associated with lower ferritin, vitamin A, and weight-for-height, suggesting anemia of undernutrition. Inflammation was not associated with Hb or anemia; nevertheless, higher CRP was associated with increased odds of low serum iron and higher ferritin and hepcidin, indicating iron restriction due to inflammation. The length of iron supplementation did not enter models for anemia or iron indicators, but a multiple nutrient supplement was associated with higher ferritin and hepcidin. Moreover, iron supplementation was associated with higher odds of vaginal trichomoniasis but lower odds of caries and bacterial vaginosis. The complex pathogenesis of anemia and iron deficiency in MINDI settings may require other interventions beyond iron supplementation. Full article
(This article belongs to the Special Issue Iron Deficiency and Iron-Related Disorders)
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<p>Conceptual framework. BMI: body mass index; CRP: C-reactive protein, IGF1: insulin-like growth factor 1; RBP: retinol-binding protein; sTfR: serum transferrin receptor; WBCs: white blood cells.</p>
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<p>Scatter plots of (<b>A</b>) plasma volume, (<b>B</b>) hemoglobin, (<b>C</b>) ferritin, (<b>D</b>) hepcidin, (<b>E</b>) serum iron, and (<b>F</b>) sTfR, by gestational age (weeks). Dashed lines show specific cut-offs for low plasma volume by trimester, defined as &lt;5th percentile, as reviewed by de Haas et al., 2017 [<a href="#B54-nutrients-16-01748" class="html-bibr">54</a>]. Dashed horizontal lines show the median and IQR of (<b>B</b>) hemoglobin: 112 (106, 119) g/L; (<b>C</b>) ferritin: 13 (6.3, 25.4) µg/L; (<b>D</b>) hepcidin: 8.1 (5.8, 12.9) µg/L; (<b>E</b>) serum iron: 8.7 (6.0, 14.1) µmol/L; and (<b>F</b>) sTfR: 5.0 (3.6, 7.0) mg/L.</p>
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<p>Scatter plots of Hb and other iron status indicators by months taking supplements. Solid red lines denote fractional polynomial regressions. Spearman correlations (r<sub>s</sub>) are shown.</p>
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14 pages, 1633 KiB  
Article
Characteristics of Vaginal Microbiota of Women of Reproductive Age with Infections
by Wanting Dong, Siyi Wang, Xi Wang, Guojin Xu, Qiuying Liu, Zheng Li, Na Lv, Yuanlong Pan, Qian Xiong, Donglai Liu and Baoli Zhu
Microorganisms 2024, 12(5), 1030; https://doi.org/10.3390/microorganisms12051030 - 20 May 2024
Cited by 1 | Viewed by 2161
Abstract
The vaginal microbiota can be classified into five major community state types (CSTs) based on the bacterial content. However, the link between different CST subtypes and vaginal infection remains unclear. Here, we analyzed 2017 vaginal microbiota samples from women of a reproductive age [...] Read more.
The vaginal microbiota can be classified into five major community state types (CSTs) based on the bacterial content. However, the link between different CST subtypes and vaginal infection remains unclear. Here, we analyzed 2017 vaginal microbiota samples from women of a reproductive age with vaginal infections that were published in the last decade. We found that L. iners was the most dominant in 34.8% of the vaginal samples, followed by L. crispatus (21.2%). CST I was common in healthy individuals, whereas CST III and IV were associated with dysbiosis and infection. CST III-B, IV-A, IV-B, and IV-C0 were prevalent in patients with bacterial vaginosis (BV). Based on the relative abundance of bacteria at the (sub)genus level, a random forest classifier was developed to predict vaginal infections with an area under the curve of 0.83. We further identified four modules of co-occurring bacterial taxa: L. crispatus, Gardnerella, Prevotella, and Bacteroides. The functional prediction revealed that nucleotide biosynthesis pathways were upregulated in patients with human papilloma virus, and carbohydrate degradation pathways were downregulated in patients with BV. Overall, our study identified the bacterial signatures of healthy and infected vaginal microbiota, providing unique insights into the clinical diagnosis and health status prediction of women of a reproductive age. Full article
(This article belongs to the Special Issue Vaginal Microbiome in Women's Health)
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<p>Overview of the 1941 samples. (<b>A</b>) Geographic distribution of the samples. (<b>B</b>) Number of samples in each disease group. HC, healthy control; AV, aerobic vaginitis; BV, bacterial vaginosis; VVC, vulvovaginal candidiasis; CT, Chlamydia trachomatis; HPV, human papilloma virus; HSV, herpes simplex virus.</p>
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<p>Overview of the dominant taxa in the vaginal microbiota. (<b>A</b>) The relative abundance of the vaginal microbiota in each sample. (<b>B</b>) The distribution of the most dominant taxa in each region of healthy individuals. (<b>C</b>) The distribution of the most dominant taxa in each disease group. AV, aerobic vaginitis; BV, bacterial vaginosis; VVC, vulvovaginal candidiasis; CT, Chlamydia trachomatis; HPV, human papilloma virus; HSV, herpes simplex virus.</p>
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<p>Overview of the CSTs in the vaginal microbiota. (<b>A</b>) The CSTs of the vaginal microbiota in each sample. (<b>B</b>) The distribution of CST subtypes in each disease group. HC, healthy control; AV, aerobic vaginitis; BV, bacterial vaginosis; VVC, vulvovaginal candidiasis; CT, Chlamydia trachomatis; HPV, human papilloma virus; HSV, herpes simplex virus.</p>
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<p>t-SNE plot of microbiome samples. Samples are colored according to the CSTs (<b>A</b>), 13 subtypes of CSTs (<b>B</b>), dominant taxa (<b>C</b>), second most dominant taxa (<b>D</b>), abundance of the dominant taxa (<b>E</b>), abundance of the second most dominant taxa (<b>F</b>), disease group (<b>G</b>), and CSTs of the BV samples (<b>H</b>). AV, aerobic vaginitis; BV, bacterial vaginosis; VVC, vulvovaginal candidiasis; CT, Chlamydia trachomatis; HPV, human papilloma virus; HSV, herpes simplex virus.</p>
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<p>Differential functional pathways between the disease group and healthy controls. The size of the dot represents |log2(fold change)|. If the dots are red, the pathway is upregulated in the disease group. If the dots are blue, the pathway is downregulated in the disease group. Only pathways with <span class="html-italic">p</span> &lt; 0.05 are shown. AV, aerobic vaginitis; BV, bacterial vaginosis; VVC, vulvovaginal candidiasis; CT, Chlamydia trachomatis; HPV, human papilloma virus.</p>
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<p>Co-occurrence network of the vaginal microbiota. Four modules of the correlated vaginal microbiota were identified: <span class="html-italic">L. crispatus</span> (green), <span class="html-italic">Gardnerella</span> (red), <span class="html-italic">Prevotella</span> (blue), and <span class="html-italic">Bacteroides</span> (yellow) modules. The line thickness represents the degree of correlation. Only correlations between subgenera with |r &gt; 0.4| and <span class="html-italic">p</span> &lt; 0.05 are shown.</p>
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11 pages, 250 KiB  
Article
Is the Early Screening of Lower Genital Tract Infections Useful in Preventing Adverse Obstetrical Outcomes in Twin Pregnancy?
by Sofia Roero, Giulia Benedetto, Lorena Charrier, Agata Ingala, Alice Ronco, Teresa Fea, Valentina Borgarello, Carlotta Bossotti, Silvana Arduino and Alberto Revelli
J. Clin. Med. 2024, 13(9), 2673; https://doi.org/10.3390/jcm13092673 - 2 May 2024
Viewed by 825
Abstract
Objectives: Twin pregnancy implies a higher risk of preterm birth and, consequently, higher neonatal morbidity and mortality. In singleton pregnancies, infections of the lower genital tract (LGTIs) and bacterial vaginosis are associated with preterm labor, and their early detection has been proven [...] Read more.
Objectives: Twin pregnancy implies a higher risk of preterm birth and, consequently, higher neonatal morbidity and mortality. In singleton pregnancies, infections of the lower genital tract (LGTIs) and bacterial vaginosis are associated with preterm labor, and their early detection has been proven effective in reducing complications like the preterm premature rupture of membranes (pPROM) and preterm delivery. The same evidence, however, is lacking for twin pregnancies. This study aimed to evaluate whether the early identification and treatment of LGTIs or bacterial vaginosis in asymptomatic women with twin pregnancy could reduce the rate of miscarriages, pPROM, and preterm birth. Methods: This study performed a retrospective comparison of 285 women with a multiple pregnancy submitted for a cervico-vaginal swab only at 20–22 weeks (Single Test Group, STG), and 199 women who underwent the swab at 12–14 and again at 20–22 weeks (Double Test Group, DTG). All women included in the study had a twin pregnancy and were followed up at Sant’Anna Hospital, Turin (Italy), between September 2012 and February 2021. Results: In STG, 21.7% of patients had a positive swab; in DTG, 19.9% had an early positive swab that was immediately treated by targeted antibiotics; and 16.7% had a mid-pregnancy positive swab. The DTG showed a significantly lower incidence of pPROM in univariate analysis (14.4% vs. 23.1%, p = 0.021), which was confirmed by multivariate analysis (OR 0.55, CI 0.33–0.93, p = 0.025). Conclusions: Our study suggests that, in asymptomatic women with twin pregnancy, the early screening of LGTIs and bacterial vaginosis by a cervico-vaginal swab at 12–14 weeks of gestational age is effective in reducing the risk of pPROM. Full article
(This article belongs to the Section Obstetrics & Gynecology)
14 pages, 1152 KiB  
Review
The Role of Prevotella Species in Female Genital Tract Infections
by Sheridan D. George, Olivia T. Van Gerwen, Chaoling Dong, Lúcia G. V. Sousa, Nuno Cerca, Jacob H. Elnaggar, Christopher M. Taylor and Christina A. Muzny
Pathogens 2024, 13(5), 364; https://doi.org/10.3390/pathogens13050364 - 28 Apr 2024
Viewed by 3463
Abstract
Female genital tract infections (FGTIs) include vaginal infections (e.g., bacterial vaginosis [BV]), endometritis, pelvic inflammatory disease [PID], and chorioamnionitis [amniotic fluid infection]. They commonly occur in women of reproductive age and are strongly associated with multiple adverse health outcomes including increased risk of [...] Read more.
Female genital tract infections (FGTIs) include vaginal infections (e.g., bacterial vaginosis [BV]), endometritis, pelvic inflammatory disease [PID], and chorioamnionitis [amniotic fluid infection]. They commonly occur in women of reproductive age and are strongly associated with multiple adverse health outcomes including increased risk of HIV/sexually transmitted infection acquisition and transmission, infertility, and adverse birth outcomes such as preterm birth. These FGTIs are characterized by a disruption of the cervicovaginal microbiota which largely affects host immunity through the loss of protective, lactic acid-producing Lactobacillus spp. and the overgrowth of facultative and strict anaerobic bacteria. Prevotella species (spp.), anaerobic Gram-negative rods, are implicated in the pathogenesis of multiple bacterial FGTIs. Specifically, P. bivia, P. amnii, and P. timonensis have unique virulence factors in this setting, including resistance to antibiotics commonly used in treatment. Additionally, evidence suggests that the presence of Prevotella spp. in untreated BV cases can lead to infections of the upper female genital tract by ascension into the uterus. This narrative review aims to explore the most common Prevotella spp. in FGTIs, highlight their important role in the pathogenesis of FGTIs, and propose future research in this area. Full article
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<p>FISH of pure culture bacterial species. (<b>A</b>) DAPI, GFP, and TX RED stain featuring three common BV-associated bacteria: <span class="html-italic">P. bivia</span> (GFP), <span class="html-italic">Gardnerella vaginalis</span> (TX RED), and <span class="html-italic">Fannyhessea vaginae</span> (white). (<b>B</b>) GFP featuring <span class="html-italic">P. bivia</span> in the same culture as (<b>A</b>) to highlight its appearance and prevalence within the culture. Images taken at a 60× magnification at high resolution. Figure courtesy of Chaoling Dong, PhD. Abbreviations: peptide nucleic acid fluorescent in situ hybridization (PNA-FISH), 4′,6-diamidino-2-phenylindole (DAPI), green fluorescent protein (GFP), and Texas red (TX RED).</p>
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<p><span class="html-italic">P. bivia</span> colonies grown on a blood agar plate after 72 h. Colonies are shiny and gray in color. Figure courtesy of Sheridan D. George.</p>
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11 pages, 637 KiB  
Review
Cracking the Code: Investigating the Correlation between Aerobic Vaginitis and Preterm Labor
by Panagiota Zarmakoupi, Alexandros Psarris, Christina Karasmani, Panagiotis Antsaklis, Marianna Theodora, Michael Syndos, Andreas Pampanos, Kalliopi I. Pappa, Ekaterini Domali, Nikolaos Thomakos, Karolina Akinosoglou, Aristotelis Tsiakalos and George Daskalakis
Medicina 2024, 60(4), 648; https://doi.org/10.3390/medicina60040648 - 18 Apr 2024
Viewed by 1342
Abstract
Aerobic vaginitis (AV) is a distinct clinical entity characterized by inflammation and abnormal vaginal microflora. Often mistaken for bacterial vaginosis, AV remains relatively unknown and underdiagnosed. AV’s understanding is evolving, with some experts suggesting it may primarily be an immunological disorder, the prevalence [...] Read more.
Aerobic vaginitis (AV) is a distinct clinical entity characterized by inflammation and abnormal vaginal microflora. Often mistaken for bacterial vaginosis, AV remains relatively unknown and underdiagnosed. AV’s understanding is evolving, with some experts suggesting it may primarily be an immunological disorder, the prevalence of which has a range of 7–13% in non-pregnant women and 4.1–8.3% during pregnancy. Pregnancy can affect susceptibility to vaginal infections, leading to adverse outcomes for the woman and the newborn. This review summarizes the correlation between AV and adverse pregnancy outcomes, particularly preterm birth, the leading cause of morbidity and mortality among neonates. An improved understanding of AV’s impact on pregnancy outcomes can lead to early recognition, proper management, and effective interventions. While some studies support an association between AV and preterm labor, the existing knowledge of this relationship remains limited. The evidence suggests that AV may contribute to adverse pregnancy outcomes, mainly preterm birth, but further research is needed to establish a definitive link. Further studies are needed to investigate the underlying mechanisms and clarify AV’s role in premature labor. A comprehensive understanding of AV’s impact on pregnancy outcomes is crucial for early recognition, appropriate management, and effective interventions. Full article
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<p>Process of elimination and inclusion of studies for review. After conducting a PubMed and Scopus search, a total of 95 articles were reviewed, out of which 11 were removed as duplicates, 57 were deemed irrelevant, and 21 were excluded due to limited information and small sample sizes. Finally, 6 studies were deemed suitable and included in the final review. PRISMA flow diagram [<a href="#B10-medicina-60-00648" class="html-bibr">10</a>].</p>
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15 pages, 1359 KiB  
Review
Medical-Grade Honey as a Potential New Therapy for Bacterial Vaginosis
by Céline M. J. G. Lardenoije, Senna J. J. M. van Riel, Linsey J. F. Peters, Martine M. L. H. Wassen and Niels A. J. Cremers
Antibiotics 2024, 13(4), 368; https://doi.org/10.3390/antibiotics13040368 - 17 Apr 2024
Viewed by 2500
Abstract
The prevalence of bacterial vaginosis (BV) among women of reproductive age is 29%. BV arises from a vaginal imbalance marked by reduced levels of lactic acid-producing lactobacilli and an overgrowth of pathogenic anaerobes. The multifactorial nature of BV’s pathogenesis complicates its treatment. Current [...] Read more.
The prevalence of bacterial vaginosis (BV) among women of reproductive age is 29%. BV arises from a vaginal imbalance marked by reduced levels of lactic acid-producing lactobacilli and an overgrowth of pathogenic anaerobes. The multifactorial nature of BV’s pathogenesis complicates its treatment. Current antibiotic therapy exhibits a recurrence rate of about 60% within a year. Recurrence can be caused by antibiotic treatment failure (e.g., due to antimicrobial resistance), the persistence of residual infections (e.g., due to biofilm formation), and re-infection. Because of the high recurrence rates, alternative therapies are required. Medical-grade honey (MGH), known for its antimicrobial and wound healing properties in wound care, emerges as a potential novel therapy for BV. MGH exerts broad-spectrum antimicrobial activity, employing multiple mechanisms to eliminate the risk of resistance. For example, the low pH of MGH and the production of hydrogen peroxide benefit the microbiota and helps restore the natural vaginal balance. This is supported by in vitro studies demonstrating that MGH has an antibacterial effect on several pathogenic bacteria involved in the pathophysiology of BV, while lactobacilli and the vaginal microenvironment can be positively affected. In contrast to antibiotics, MGH exerts anti-biofilm activity, affects the microbiome as pre- and probiotic, and modulates the vaginal microenvironment through its anti-inflammatory, anti-oxidative, physicochemical, and immunomodulatory properties. More clinical research is required to confirm the positive effect of MGH on BV and to investigate the long-term cure rate. Full article
(This article belongs to the Special Issue Honey: Antimicrobial and Anti-infective Function)
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<p><b>Proposed mechanisms of how MGH can improve BV pathology.</b> A disbalance in the vaginal microbiota, such as that experienced during BV, may be improved via multiple mechanisms. Firstly, the acidic pH of honey and the natural formation of low levels of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) are part of normal vaginal physiology, and thus this may restore part of the environment. Secondly, honey has anti-inflammatory, anti-oxidative, and immunomodulatory properties that may harness the hostile state of the tissue. Lastly, honey likely improves the vaginal microbiota by its pre- and probiotic effects that may increase the beneficial Lactobacilli and its broad-spectrum antimicrobial activity that decreases the pathogenic bacteria, including antibiotic-resistant strains and those present in biofilms.</p>
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<p><b>Differential antimicrobial mechanisms of antibiotics and MGH.</b> In contrast to antibiotics with one specific antimicrobial mechanism, MGH has multiple mechanisms by which it exerts its broad-spectrum antimicrobial activity. Metronidazole interferes with bacterial DNA replication, while clindamycin inhibits its protein synthesis. MGH contains molecules with direct antimicrobial activity and acts by physiological activity, thereby making it effective against a broad range of microorganisms. These activities together make structural and morphological changes, alter the membrane potential, affect the cell cycle and cell growth, disrupt cell metabolism, influence efflux pump activity, alter quorum sensing (intercellular communication), reduce biofilms, and affect stress responses. Bacteria cannot protect themselves against this multitude of mechanisms and therefore do not develop resistance towards MGH. H<sub>2</sub>O<sub>2</sub>: hydrogen peroxide; MGO: methylglyoxal.</p>
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22 pages, 5154 KiB  
Review
Hydrogel- and Nanocomposite-Based Drug-Delivery Strategies in the Treatment of Vaginal Infections
by Renad AlAnsari, Bushra Hasan, G. Roshan Deen and Uwe Torsten
Polymers 2024, 16(6), 775; https://doi.org/10.3390/polym16060775 - 12 Mar 2024
Viewed by 2499
Abstract
The reproductive health of women is governed by an optimal balance in the host–microbiota interaction. Depletion of the beneficial vaginal microflora caused by depletion of Lactobacillus species and increased proliferation of pathogens results in gynaecological infections. Among women of reproductive age, vaginal infections [...] Read more.
The reproductive health of women is governed by an optimal balance in the host–microbiota interaction. Depletion of the beneficial vaginal microflora caused by depletion of Lactobacillus species and increased proliferation of pathogens results in gynaecological infections. Among women of reproductive age, vaginal infections are increasingly prevalent. Attaining therapeutic efficacy using conventional formulations remains a challenge as vaginal fluids quickly remove or dilute the therapeutic formulations. Hydrogels have been widely exploited for targeted delivery of therapeutics directly into the vaginal mucus. With a careful choice of polymers (natural, synthetic, or semisynthetic), hydrogels with specific properties, such as stimuli responsiveness, antimicrobial, and muco-adhesiveness, can be tailored for higher therapeutic efficacy. In this review, the advances in hydrogel strategies for the treatment of vaginal infections are presented with emphasis on the types and properties that play a significant role in vaginal drug delivery systems. Full article
(This article belongs to the Section Smart and Functional Polymers)
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<p>Illustration of layers of vagina tissue and mucus composition.</p>
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<p>Illustration of invasion of pathogen and biofilm formation.</p>
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<p>Chemical structures of drugs used to treat vaginal infections and sexually transmitted infections.</p>
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<p>Illustration of chemically crosslinked and physically crosslinked hydrogels.</p>
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<p>Illustration of stimuli-responsive hydrogels.</p>
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<p>Illustration of transport of drugs from hydrogels based on the hydrodynamic radius of drugs and mesh size of the hydrogel matrix. The red lines are the polymer chains and the green spheres are the drug molecules.</p>
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<p>Illustration of major drug-delivery systems: the reservoir system and matrix or monolithic system. The drug molecules are represented by red spheres and the arrows illustrate the direction of diffusion.</p>
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<p>Illustration of drug diffusion from a stimuli-responsive drug-delivery system.</p>
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<p>Chemical structure of some important natural polymers used in hydrogels for the treatment of vaginal infections.</p>
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14 pages, 1221 KiB  
Article
Analysis of Vaginal Microbiota Variations in the Third Trimester of Pregnancy and Their Correlation with Preterm Birth: A Case-Control Study
by Catalin Prodan-Barbulescu, Felix Bratosin, Roxana Folescu, Estera Boeriu, Zoran Laurentiu Popa, Cosmin Citu, Adrian Ratiu, Ovidiu Rosca and Adrian Cosmin Ilie
Microorganisms 2024, 12(2), 417; https://doi.org/10.3390/microorganisms12020417 - 19 Feb 2024
Cited by 3 | Viewed by 1654
Abstract
This study conducted a detailed analysis of the vaginal microbiota in pregnant women to explore its correlation with preterm birth (PTB) outcomes. The primary objective was to identify microbial variations associated with increased PTB risk. Secondary objectives included investigating how changes in microbial [...] Read more.
This study conducted a detailed analysis of the vaginal microbiota in pregnant women to explore its correlation with preterm birth (PTB) outcomes. The primary objective was to identify microbial variations associated with increased PTB risk. Secondary objectives included investigating how changes in microbial composition relate to the local immune environment and PTB. Utilizing a retrospective case–control design, the study involved pregnant women with liveborn infants between 2019 and 2023. In total, 89 women who delivered preterm and 106 term deliveries were included. Data collection focused on third-trimester vaginal cultures. Statistically significant differences were observed between the preterm and full-term groups in several areas. The median white blood cell count (10.2 × 103/mm3 vs. 7.6 × 103/mm3, p = 0.009) and neutrophil count (7.2 × 103/mm3 vs. 5.1 × 103/mm3, p < 0.001) were higher in the preterm group. Vaginal pH was also elevated in preterm births (5.6 vs. 4.4, p < 0.001), with a higher prevalence of bacterial vaginosis (29.2% vs. 12.3%, p = 0.001) as indicated by the Nugent Score. The study noted a significant association of PTB with the presence of Candida spp. (OR = 1.84, p = 0.018), Gardnerella vaginalis (OR = 2.29, p = 0.003), Mycoplasma hominis (OR = 1.97, p = 0.007), and Ureaplasma urealyticum (OR = 2.43, p = 0.001). Conversely, a reduction in Lactobacillus spp. correlated with a decreased PTB risk (OR = 0.46, p = 0.001). The study provides compelling evidence that specific vaginal microbiota components, particularly certain pathogenic bacteria and an altered Lactobacillus profile, are significantly associated with PTB risk. These findings highlight the potential of targeting microbial factors in strategies aimed at reducing PTB rates. Further research is necessary to fully understand the complex interplay between microbial dynamics, host immunity, and PTB outcomes. Full article
(This article belongs to the Special Issue Vaginal Microbiome in Women's Health)
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<p>Vaginal smear results by preterm and full-term births.</p>
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<p>Correlation matrix heatmap.</p>
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<p>Forest plot of significant risk factors associated with preterm birth.</p>
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17 pages, 183523 KiB  
Article
Lactobacillus crispatus CCFM1339 Inhibits Vaginal Epithelial Barrier Injury Induced by Gardnerella vaginalis in Mice
by Xiaoyan Huang, Rumeng Lin, Bingyong Mao, Xin Tang, Jianxin Zhao, Qiuxiang Zhang and Shumao Cui
Biomolecules 2024, 14(2), 240; https://doi.org/10.3390/biom14020240 - 18 Feb 2024
Cited by 2 | Viewed by 2429
Abstract
The vaginal epithelial barrier, which integrates mechanical, immune, chemical, and microbial defenses, is pivotal in safeguarding against external pathogens and upholding the vaginal microecological equilibrium. Although the widely used metronidazole effectively curtails Gardnerella vaginalis, a key pathogen in bacterial vaginosis, it falls [...] Read more.
The vaginal epithelial barrier, which integrates mechanical, immune, chemical, and microbial defenses, is pivotal in safeguarding against external pathogens and upholding the vaginal microecological equilibrium. Although the widely used metronidazole effectively curtails Gardnerella vaginalis, a key pathogen in bacterial vaginosis, it falls short in restoring the vaginal barrier or reducing recurrence rates. Our prior research highlighted Lactobacillus crispatus CCFM1339, a vaginally derived Lactobacillus strain, for its capacity to modulate the vaginal epithelial barrier. In cellular models, L. crispatus CCFM1339 fortified the integrity of the cellular monolayer, augmented cellular migration, and facilitated repair. Remarkably, in animal models, L. crispatus CCFM1339 substantially abated the secretion of the barrier disruption biomarker E-cadherin (from 101.45 to 82.90 pg/mL) and increased the anti-inflammatory cytokine IL-10 (35.18% vs. the model), consequently mitigating vaginal inflammation in mice. Immunological assays in vaginal tissues elucidated increased secretory IgA levels (from 405.56 to 740.62 ng/mL) and curtailed IL-17 gene expression. Moreover, L. crispatus CCFM1339 enhanced Lactobacilli abundance and attenuated Enterobacterium and Enterococcus within the vaginal microbiome, underscoring its potential in probiotic applications for vaginal barrier regulation. Full article
(This article belongs to the Topic Microbes and Their Products for Sustainable Human Life)
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<p>Animal experimental design time flow diagram.</p>
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<p>The regulation of VK2/E6E7 monolayer barrier cells by Lactobacillus strains. (<b>A</b>) The Transwell model of the vaginal epithelium; (<b>B</b>) transepithelial electrical resistance; (<b>C</b>) the permeability of FD-4; (<b>D</b>) the wound area change treated at 24 h after the scratch; ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001 vs. model group.</p>
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<p>Mechanical protein expression in vaginal tissue: (<b>A</b>) sECAD; (<b>B</b>) ZO-1; (<b>C</b>) CLDN1; (<b>D</b>) OCLN; * <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, **** <span class="html-italic">p</span> &lt; 0.0001 vs. model group.</p>
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<p>Changes in inflammatory factors in vaginal tissue. (<b>A</b>) IL-1<math display="inline"><semantics> <mi>β</mi> </semantics></math>; (<b>B</b>) TNF-<math display="inline"><semantics> <mi>α</mi> </semantics></math>; (<b>C</b>) MPO; (<b>D</b>) IL-10; * <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, **** <span class="html-italic">p</span> &lt; 0.0001 vs. model group.</p>
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<p>Effects of <span class="html-italic">L. crispatus</span> CCFM1339 on the vaginal immune barrier indicators. (<b>A</b>) sIgA; (<b>B</b>) IgG; (<b>C</b>) HBD-2; (<b>D</b>) <span class="html-italic">IL-17</span> gene; (<b>E</b>) <span class="html-italic">Foxp3</span> gene; * <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, **** <span class="html-italic">p</span> &lt; 0.0001 vs. model group.</p>
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<p>Pathological status of vaginal tissue. (<b>A</b>) Control; (<b>B</b>) model; (<b>C</b>) metronidazole; (<b>D</b>) DM8909; (<b>E</b>) CCFM1339; (<b>F</b>) FHNXY73M2; black arrow—smooth vaginal epithelium; blue arrow—local inflammatory cell infiltration of vaginal mucosa; red arrow—superficial erosion and holes.</p>
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<p>Analysis of alpha diversity. (<b>A</b>) Chao1 index; (<b>B</b>) Simpson index; (<b>C</b>) Shannon index.</p>
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<p>Analysis of beta diversity. (<b>A</b>) Control vs. model; (<b>B</b>) metronidazole vs. model; (<b>C</b>) DM8909 vs. model; (<b>D</b>) CCFM1339 vs. model; (<b>E</b>) FHNXY73M2 vs. model.</p>
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<p>Analysis of different bacterial genera of vaginal microbiota. (<b>A</b>) Relative abundance of the vaginal microbiota at phylum level; (<b>B</b>) relative abundance of the vaginal microbiota at genus level; (<b>C</b>) branching map of species evolution; (<b>D</b>) histogram of LDA value distribution.</p>
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