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Clinical Microbiology Reviews Oct 1991Bacterial vaginosis (BV) is the most common of the vaginitides affecting women of reproductive age. It appears to be due to an alteration in the vaginal ecology by which... (Review)
Review
Bacterial vaginosis (BV) is the most common of the vaginitides affecting women of reproductive age. It appears to be due to an alteration in the vaginal ecology by which Lactobacillus spp., the predominant organisms in the healthy vagina, are replaced by a mixed flora including Prevotella bivia, Prevotella disiens, Porphyromonas spp., Mobiluncus spp., and Peptostreptococcus spp. All of these organisms except Mobiluncus spp. are also members of the endogenous vaginal flora. While evidence from treatment trials does not support the notion that BV is sexually transmitted, recent studies have shown an increased risk associated with multiple sexual partners. It has also been suggested that the pathogenesis of BV may be similar to that of urinary tract infections, with the rectum serving as a reservoir for some BV-associated flora. The organisms associated with BV have also been recognized as agents of female upper genital tract infection, including pelvic inflammatory disease, and the syndrome BV has been associated with adverse outcome of pregnancy, including premature rupture of membranes, chorioamnionitis, and fetal loss; postpartum endometritis; cuff cellulitis; and urinary tract infections. The mechanisms by which the BV-associated flora causes the signs of BV are not well understood, but a role for H2O2-producing Lactobacillus spp. in protecting against colonization by catalase-negative anaerobic bacteria has been recognized. These and other aspects of BV are reviewed.
Topics: Female; Humans; Vaginosis, Bacterial
PubMed: 1747864
DOI: 10.1128/CMR.4.4.485 -
Annals of Translational Medicine Feb 2020Vaginal dysbiosis may paly role in increased risk of human papillomavirus (HPV) infection. This study aims to explore potential vaginal microbiome biomarkers, to predict...
BACKGROUND
Vaginal dysbiosis may paly role in increased risk of human papillomavirus (HPV) infection. This study aims to explore potential vaginal microbiome biomarkers, to predict persistent high-risk HPV (HR-HPV) infection and cervical intraepithelial neoplasia (CIN) 2+, and to find novel treatment targets for HPV infection.
METHODS
A total of 329 women aged 20-69 were enrolled in this study, including 59 with cervical persistent HPV infection irrespective of cytology status (group A), 139 with incident HPV infection (group B), and 131 without HPV infection (group C). Vaginal microbiome composition was determined by sequencing of barcoded 16S rDNA gene fragments (V4) on Illumina HiSeq2500.
RESULTS
In genus level, the relative abundance of and were significantly the highest in group A, while was the lowest in group A. In species level, we found the relative abundance of and were the highest in group A while iners was significantly under-represented in group A than the other two, and was over-represented in group C than the other two groups.
CONCLUSIONS
A predominance of and with a concomitant paucity of and may relate to HPV persistent infection. Furthermore, the relative abundance of being over 0.05554% with being under 0.02196% may be a good predictor for appearance CIN2+ for those diagnosed with the other 12 types of HR-HPV persistent infection but normal ThinPrep cytology test (TCT) testing. The exact molecular mechanism of the vaginal microbiome in the course of persistent HR-HPV infection and cervical neoplasia should be further explored. Future research should include intervention of vaginal microbiome composition to reverse the course of HR-HPV infection and the natural history of cervical neoplasia.
PubMed: 32175393
DOI: 10.21037/atm.2019.12.115 -
BMC Infectious Diseases Jan 2009Gingivitis has been linked to adverse pregnancy outcome (APO). Bacterial vaginosis (BV) has been associated with APO. We assessed if bacterial counts in BV is associated...
BACKGROUND
Gingivitis has been linked to adverse pregnancy outcome (APO). Bacterial vaginosis (BV) has been associated with APO. We assessed if bacterial counts in BV is associated with gingivitis suggesting a systemic infectious susceptibilty.
METHODS
Vaginal samples were collected from 180 women (mean age 29.4 years, SD +/- 6.8, range: 18 to 46), and at least six months after delivery, and assessed by semi-quantitative DNA-DNA checkerboard hybridization assay (74 bacterial species). BV was defined by Gram stain (Nugent criteria). Gingivitis was defined as bleeding on probing at >or= 20% of tooth sites.
RESULTS
A Nugent score of 0-3 (normal vaginal microflora) was found in 83 women (46.1%), and a score of > 7 (BV) in 49 women (27.2%). Gingivitis was diagnosed in 114 women (63.3%). Women with a diagnosis of BV were more likely to have gingivitis (p = 0.01). Independent of gingival conditions, vaginal bacterial counts were higher (p < 0.001) for 38/74 species in BV+ in comparison to BV- women. Counts of four lactobacilli species were higher in BV- women (p < 0.001). Independent of BV diagnosis, women with gingivitis had higher counts of Prevotella bivia (p < 0.001), and Prevotella disiens (p < 0.001). P. bivia, P. disiens, M. curtisii and M. mulieris (all at the p < 0.01 level) were found at higher levels in the BV+/G+ group than in the BV+/G- group. The sum of bacterial load (74 species) was higher in the BV+/G+ group than in the BV+/G- group (p < 0.05). The highest odds ratio for the presence of bacteria in vaginal samples (> 1.0 x 104 cells) and a diagnosis of gingivitis was 3.9 for P. bivia (95% CI 1.5-5.7, p < 0.001) and 3.6 for P. disiens (95%CI: 1.8-7.5, p < 0.001), and a diagnosis of BV for P. bivia (odds ratio: 5.3, 95%CI: 2.6 to 10.4, p < 0.001) and P. disiens (odds ratio: 4.4, 95% CI: 2.2 to 8.8, p < 0.001).
CONCLUSION
Higher vaginal bacterial counts can be found in women with BV and gingivitis in comparison to women with BV but not gingivitis. P. bivia and P. disiens may be of specific significance in a relationship between vaginal and gingival infections.
Topics: Adolescent; Adult; Cohort Studies; Female; Gingivitis; Humans; Middle Aged; Vagina; Vaginosis, Bacterial; Young Adult
PubMed: 19161595
DOI: 10.1186/1471-2334-9-6 -
Journal of Family Medicine and Primary... Feb 2020Pyonephrosis is an uncommon condition that is associated with suppurative destruction of the renal parenchyma. Upper urinary tract obstruction by renal stones plays an...
Pyonephrosis is an uncommon condition that is associated with suppurative destruction of the renal parenchyma. Upper urinary tract obstruction by renal stones plays an important role in its aetiology. The majority of pyonephrosis is reported to be caused by aerobic bacteria but the role of anaerobes, especially black-pigmented gram-negative anaerobes, namely, Prevotella and Porphyromonas in renal infections, remain poorly defined. In view of the rarity of the event, a case of pyonephrosis by and coinfection complicated by secondary peritonitis in an obstructive uropathy patient is hereby presented. An attempt is being made to review the literature on the infective aetiologies of renal abscess with special reference to anaerobes.
PubMed: 32318511
DOI: 10.4103/jfmpc.jfmpc_907_19 -
Veterinary Sciences Nov 2022The gut microbiome exerts important functions on host health maintenance, whereas excessive antibiotic use may cause gut flora dysfunction resulting in serious disease...
The gut microbiome exerts important functions on host health maintenance, whereas excessive antibiotic use may cause gut flora dysfunction resulting in serious disease and dysbiosis. Colistin is a broad-spectrum antibiotic with serious resistance phenomena. However, it is unclear whether colistin alters the gastrointestinal tract microbiome in piglets. In this study, 16s rDNA-based metagenome analyses were used to assess the effects of colistin on the modification of the piglet microbiome in the stomach, duodenum, jejunum, cecum, and feces. Both α- and β-diversity indices showed that colistin modified microbiome composition in these gastrointestinal areas. In addition, colistin influenced microbiome composition at the phylum and genus levels. At the species level, colistin upregulated , , , , and abundance, but downregulated , , , , , , and abundance in stomachs. Colistin-fed piglets showed an increased abundance of , , , and , but , , , , and abundance was decreased in the cecum. In feces, colistin promoted , , , , and abundance when compared with controls. Taken together, colistin modified the microbiome composition of gastrointestinal areas in piglets. This study provides new clinical rationalization strategies for colistin on the maintenance of animal gut balance and human public health.
PubMed: 36548827
DOI: 10.3390/vetsci9120666 -
The Journal of Allergy and Clinical... Apr 2021Little is known about the relationships between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the respiratory virus responsible for the ongoing...
BACKGROUND
Little is known about the relationships between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the respiratory virus responsible for the ongoing coronavirus disease 2019 (COVID-19) pandemic, and the upper respiratory tract (URT) microbiome.
OBJECTIVE
We sought to compare the URT microbiome between SARS-CoV-2-infected and -uninfected adults and to examine the association of SARS-CoV-2 viral load with the URT microbiome during COVID-19.
METHODS
We characterized the URT microbiome using 16S ribosomal RNA sequencing in 59 adults (38 with confirmed, symptomatic, mild to moderate COVID-19 and 21 asymptomatic, uninfected controls). In those with COVID-19, we measured SARS-CoV-2 viral load using quantitative reverse transcription PCR. We then examined the association of SARS-CoV-2 infection status and its viral load with the ⍺-diversity, β-diversity, and abundance of bacterial taxa of the URT microbiome. Our main models were all adjusted for age and sex.
RESULTS
The observed species index was significantly higher in SARS-CoV-2-infected than in -uninfected adults (β linear regression coefficient = 7.53; 95% CI, 0.17-14.89; P = .045). In differential abundance testing, 9 amplicon sequence variants were significantly different in both of our comparisons, with Peptoniphilus lacrimalis, Campylobacter hominis, Prevotella 9 copri, and an Anaerococcus unclassified amplicon sequence variant being more abundant in those with SARS-CoV-2 infection and in those with high viral load during COVID-19, whereas Corynebacterium unclassified, Staphylococcus haemolyticus, Prevotella disiens, and 2 Corynebacterium_1 unclassified amplicon sequence variants were more abundant in those without SARS-CoV-2 infection and in those with low viral load during COVID-19.
CONCLUSIONS
Our findings suggest complex associations between SARS-CoV-2 and the URT microbiome in adults. Future studies are needed to examine how these viral-bacterial interactions can impact the clinical progression, severity, and recovery of COVID-19.
Topics: Adult; Biodiversity; COVID-19; Case-Control Studies; Female; Host Microbial Interactions; Humans; Male; Microbiota; Middle Aged; Pandemics; RNA, Ribosomal, 16S; Respiratory System; SARS-CoV-2; Species Specificity; Viral Load
PubMed: 33577896
DOI: 10.1016/j.jaci.2021.02.001 -
Frontiers in Cellular and Infection... 2021The vaginal microbiome plays a critical role in determining the progression of female genital tract infections; however, little is known about the vaginal microbiota of...
The vaginal microbiome plays a critical role in determining the progression of female genital tract infections; however, little is known about the vaginal microbiota of Indian women. We aimed to investigate the vaginal microbial architecture of women with asymptomatic bacterial vaginosis (BV) (n=20) and normal microbiota (n=19). Microbial diversity was analyzed in vaginal swabs from regularly menstruating women (18-45yrs) by 16S rRNA V3-V4 amplicon (MiSeq Illumina) sequencing. Rarefaction analysis showed a higher number of species in normal flora compared to BV. Alpha diversity as measured by Pielou's evenness revealed microbial diversity was significantly greater in BV samples than normal microbiota (p= 0.0165). Beta diversity comparison using UniFrac metrics indicated distinct microbial communities clustering between normal and BV flora. Firmicutes were the major phyla observed in vaginal specimens of normal microbiota whereas were significantly abundant in BV samples. Notably, the relative abundance of was significantly high in normal microbiota. Conversely , , , , , significantly dominated dysbiotic microbiota. Relative frequency of Lactobacillus decreased significantly in BV (6%) as compared to normal microbiota (35.2%). , more exclusively present in normal microbiota. was detected from both the groups with a relative frequency of 50.4% and 17.2% in normal and BV microbiota respectively. Lefse analysis indicated in the vaginal microbiota as a biomarker for dysbiosis and as a biomarker of a healthy microbiota were negatively correlated to , and . Proteobacteria positively correlated to s, and were shown to be positively correlated to Predicted functional analysis indicated differences in the functional profiles between BV and normal microbiota. Normal microbiota utilized pathways essential for phosphatidylglycerol biosynthesis I & II, peptidoglycan biosynthesis, geranylgeranyl diphosphate biosynthesis I, mevalonate pathway, CoA biosynthesis pathway I and pyrimidine nucleotide salvage; whereas BV bacteria had characteristic aromatic amino acid biosynthesis, pentose phosphate pathway, carbohydrate degradation. In conclusion, women with asymptomatic BV have vaginal microbiota significantly different than women with normal microbiota. Furthermore, the study provides insights into the vaginal microbial structure of Indian women that will enable us to explore the prospective candidates for restoring the vaginal microbiota.
Topics: Dysbiosis; Female; Humans; Microbiota; Prospective Studies; RNA, Ribosomal, 16S; Vagina
PubMed: 35096634
DOI: 10.3389/fcimb.2021.760459 -
Advances in Nutrition (Bethesda, Md.) Feb 2021The influence of diet on the gut microbiota is an emerging research area with significant impact on human health and disease. However, the effects of beef, the most...
The influence of diet on the gut microbiota is an emerging research area with significant impact on human health and disease. However, the effects of beef, the most consumed red meat in the United States, on gut microbial profile are not well studied. Following Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols, the objective of this systematic review was to conduct a rigorous and thorough review of the current scientific literature regarding the effects of beef protein and the resulting bioactivity of beef protein and amino acids on the gut microbiota, with the goal of identifying gaps in the literature and guiding future research priorities. Utilizing MEDLINE Complete, PubMed, ScienceDirect, Scopus, and Google Scholar databases, we conducted searches including terms and combinations of the following: animal protein, amino acid, beef, bioactive compounds, diet, health, microbiome, peptide, processed beef, and protein. We identified 131 articles, from which 15 were included in our review. The effects of beef on mouse and rat models were mostly consistent for the bacterial phylum level. Short-term (1-4-wk) beef intakes had little to no effect on microbial profiles in humans. Most studies utilized high beef feeding (240-380 g/d), and no study examined recommended amounts of protein [∼3.71 oz/d (105 g/d) meats, poultry, and eggs, or ∼26 oz/week (737 g/wk) from these food sources] according to US dietary guidelines. Additionally, the majority of animal and human studies with adverse findings examined the impact of beef in the context of a diet high in fat or sugar. In conclusion, an extensive gap exists in the literature regarding beef and the microbiota. More studies are necessary to elucidate the role of the microbiota following the consumption of beef, especially in interaction with other dietary compounds, and how beef preparation, processing, and cooking methods differentially influence the biological effects of beef on human health.
Topics: Animals; Cattle; Diet; Eggs; Gastrointestinal Microbiome; Humans; Meat; Mice; Prevotella; Rats
PubMed: 32761179
DOI: 10.1093/advances/nmaa085 -
Anaerobe Jun 2017We studied the performance characteristics of two blood culture (BC) bottles/systems, (i) BacT/ALERT-FN Plus/3D (bioMérieux, Marcy l'Étoile, France) and (ii)... (Comparative Study)
Comparative Study
We studied the performance characteristics of two blood culture (BC) bottles/systems, (i) BacT/ALERT-FN Plus/3D (bioMérieux, Marcy l'Étoile, France) and (ii) BACTEC-Lytic/9000 (Becton Dickinson, Sparks, USA) for detection of growth and time-to-positivity (TTP) against a balanced and diverse collection of anaerobic bacterial strains (n = 48) that included reference strains (n = 19) and clinical isolates (n = 29) of 32 species (15 Gram-negative and 17 Gram-positive). Standard suspension of bacteria was inoculated to each bottle in duplicates and incubated in the corresponding system. Overall, 62.5% (n = 30) of strains were detected by both BC bottle types. Comparing the two, 70.8% (n = 34) and 79.2% (n = 38) of strains were detected by BacT/ALERT-FN Plus and BACTEC-Lytic bottles, respectively (p = 0.38). Among Gram-negative anaerobes (n = 25) the detection rate was 76.0% (n = 19) vs. 92.0% (n = 23) (p = 0.22), respectively. Among Gram-positive anaerobes (n = 23) the detection rate was 65.2% (n = 15) in both bottles (p = 1). The average TTP per bottle was calculated only for the strains detected by both systems (n = 30) and was 40.85 h and 28.08 h for BacT/ALERT-FN Plus and BACTEC-Lytic, respectively (p < 0.001). The mean difference was 12.76 h (95% CI: 6.21-19-31 h). Six anaerobic strains were not detected by any system, including Gram-negative Porphyromonas gingivalis, and five Gram-positive strains: Finegoldia magna, Peptostreptococcus anaerobius, Propionibacterium acnes, Clostridium novyi and Clostridium clostridioforme. Furthermore, Eggerthella lenta and Prevotella bivia were detected only by BacT/ALERT-FN Plus, while Prevotella disiens and Prevotella intermedia were detected only by BACTEC-Lytic bottles. There were no major differences in detection rate among clinical and reference strains. Anaerobic bacteria represent a minority of BC isolates, however, far from ideal detection rate was observed in this study for both tested bottle/system combinations. Nevertheless, in those cases where both gave positive signal, BACTEC-Lytic was superior to BacT/ALERT FN Plus with 12.76 h shorter mean TTP. Improvements of media in blood culture bottles available for detection of anaerobes are warranted.
Topics: Bacteremia; Bacteria, Anaerobic; Blood Culture; Humans; Sensitivity and Specificity; Time Factors
PubMed: 28279857
DOI: 10.1016/j.anaerobe.2017.03.006 -
Biomedicine & Pharmacotherapy =... May 2022New means to stabilize the microbial balance during pregnancy could benefit maternal health. Our objectives were to investigate in overweight/obese pregnant women 1) the... (Randomized Controlled Trial)
Randomized Controlled Trial
New means to stabilize the microbial balance during pregnancy could benefit maternal health. Our objectives were to investigate in overweight/obese pregnant women 1) the impact of long-chain polyunsaturated fatty acids (fish oil) and/or probiotics on the vaginal microbiota, 2) its relation to gestational diabetes mellitus (GDM) and 3) its interaction with vaginal active matrix metalloproteinase-8 (aMMP-8) and serum high sensitivity C-reactive protein (hsCRP) and phosphorylated insulin-like growth factor-binding protein-1 (phIGFBP-1), IGFBP-1 and aMMP-8. The women were allocated to fish oil + placebo, probiotics + placebo, fish oil + probiotics and placebo + placebo-groups, from early pregnancy onwards (fish oil: 1.9 g docosahexaenoic acid and 0.22 g eicosapentaenoic acid; probiotics: Lacticaseibacillus rhamnosus HN001 (formerly Lactobacillus rhamnosus HN001) and Bifidobacterium animalis ssp. lactis 420, 10 colony-forming units each). Vaginal and serum samples (early pregnancy, n = 112; late pregnancy, n = 116), were analyzed for vaginal microbiota using 16S rRNA gene amplicon sequencing and vaginal aMMP-8 and serum hsCRP, aMMP-8, phIGFBP-1 and IGFBP-1 by immunoassays. GDM was diagnosed from a 2-h 75 g OGTT. ClinicalTrials.gov, NCT01922791. The intervention exerted effects on many low-abundant bacteria. Compared to the placebo-group, there was a lower abundance of potential pathobionts, namely Ureaplasma urealyticum in the fish oil-group, Ureaplasma, U. urealyticum and Prevotella disiens in the probiotics-group, Dialister invisus and Prevotella timonensis in the fish oil + probiotics-group. Moreover, probiotics decreased the abundance of a few potential pathobionts during pregnancy. Many bacteria were related to GDM. The vaginal aMMP-8 level correlated significantly with α-diversity and inversely with two Lactobacillus species. Dietary interventions, especially probiotics, may have beneficial effects on the vaginal microbiota during pregnancy.
Topics: Bifidobacterium animalis; C-Reactive Protein; Diabetes, Gestational; Female; Fish Oils; Humans; Insulin-Like Growth Factor Binding Protein 1; Lacticaseibacillus rhamnosus; Microbiota; Obesity; Overweight; Pregnancy; Pregnant Women; Probiotics; RNA, Ribosomal, 16S
PubMed: 35344737
DOI: 10.1016/j.biopha.2022.112841