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polymicrobial  (ATCC)


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    ATCC polymicrobial
    Polymicrobial, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 4120 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/polymicrobial/product/ATCC
    Average 99 stars, based on 4120 article reviews
    polymicrobial - by Bioz Stars, 2026-05
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    Figure 1. Major vaginal microbiome community state types (CSTs) in study participants as identified by metaproteomic analysis. A, Stacked bar plot demonstrates bacterial composition of each CST (LC = Lactobacillus crispatus dominant, n = 84; LI = Lactobacillus iners dominant, n = 300; GV = Gardnerella vaginalis dominant, n = 183; PM = <t>polymicrobial,</t> n = 104). Proportions of the most abundant (>5%) bacterial taxa per CST are shown as percentages. B, Box-and-whisker plots represent distribution of α- diversities (Shannon H index) across CSTs. A small subset of samples (n = 17, Lactobacillus spp dominant) were not resolvable to the species level precluding diversity estimates, and therefore this group was not included.
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    Figure 1. Major vaginal microbiome community state types (CSTs) in study participants as identified by metaproteomic analysis. A, Stacked bar plot demonstrates bacterial composition of each CST (LC = Lactobacillus crispatus dominant, n = 84; LI = Lactobacillus iners dominant, n = 300; GV = Gardnerella vaginalis dominant, n = 183; PM = <t>polymicrobial,</t> n = 104). Proportions of the most abundant (>5%) bacterial taxa per CST are shown as percentages. B, Box-and-whisker plots represent distribution of α- diversities (Shannon H index) across CSTs. A small subset of samples (n = 17, Lactobacillus spp dominant) were not resolvable to the species level precluding diversity estimates, and therefore this group was not included.
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    Figure 1. Major vaginal microbiome community state types (CSTs) in study participants as identified by metaproteomic analysis. A, Stacked bar plot demonstrates bacterial composition of each CST (LC = Lactobacillus crispatus dominant, n = 84; LI = Lactobacillus iners dominant, n = 300; GV = Gardnerella vaginalis dominant, n = 183; PM = polymicrobial, n = 104). Proportions of the most abundant (>5%) bacterial taxa per CST are shown as percentages. B, Box-and-whisker plots represent distribution of α- diversities (Shannon H index) across CSTs. A small subset of samples (n = 17, Lactobacillus spp dominant) were not resolvable to the species level precluding diversity estimates, and therefore this group was not included.

    Journal: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    Article Title: Non-Lactobacillus-Dominant and Polymicrobial Vaginal Microbiomes Are More Common in Younger South African Women and Predictive of Increased Risk of Human Immunodeficiency Virus Acquisition.

    doi: 10.1093/cid/ciac938

    Figure Lengend Snippet: Figure 1. Major vaginal microbiome community state types (CSTs) in study participants as identified by metaproteomic analysis. A, Stacked bar plot demonstrates bacterial composition of each CST (LC = Lactobacillus crispatus dominant, n = 84; LI = Lactobacillus iners dominant, n = 300; GV = Gardnerella vaginalis dominant, n = 183; PM = polymicrobial, n = 104). Proportions of the most abundant (>5%) bacterial taxa per CST are shown as percentages. B, Box-and-whisker plots represent distribution of α- diversities (Shannon H index) across CSTs. A small subset of samples (n = 17, Lactobacillus spp dominant) were not resolvable to the species level precluding diversity estimates, and therefore this group was not included.

    Article Snippet: Four microbiome types were identified based on predominant taxa, including Lactobacillus crispatus (CST-LC, 12.2%), Lactobacillus iners (CST-LI, 43.6%), Gardnerella vaginalis (CST-GV, 26.6%), or polymicrobial (CST-PM, 15.1%).

    Techniques: Whisker Assay

    Figure 2. Vaginal bacterial metaproteome profiles of study participants stratified by age group. A, Proportions of bacterial taxa and functional pathways are displayed for each age group: 18–19 (n = 93), 20–24 (n = 326), and 25–41 (n = 269) years. Stacked bar plots are annotated with Lactobacillus dominance status and community state type (CST) categorization. B, Proportion of Lactobacillus-/non-Lactobacillus-dominant status between age groups were assessed for statistical significance using Fisher exact test. C, Proportions of CST-polymicrobial relative to CST–Lactobacillus crispatus dominant between age groups were assessed for statistical significance using Fisher exact test. Abbreviations: CST, community state type; GV, Gardnerella vaginalis dominant; LC, Lactobacillus crispatus dominant; LD, Lactobacillus dominant; LI, Lactobacillus iners dom inant; LS, Lactobacillus species dominant; nLD, non-Lactobacillus dominant; OR, odds ratio; PM, polymicrobial.

    Journal: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    Article Title: Non-Lactobacillus-Dominant and Polymicrobial Vaginal Microbiomes Are More Common in Younger South African Women and Predictive of Increased Risk of Human Immunodeficiency Virus Acquisition.

    doi: 10.1093/cid/ciac938

    Figure Lengend Snippet: Figure 2. Vaginal bacterial metaproteome profiles of study participants stratified by age group. A, Proportions of bacterial taxa and functional pathways are displayed for each age group: 18–19 (n = 93), 20–24 (n = 326), and 25–41 (n = 269) years. Stacked bar plots are annotated with Lactobacillus dominance status and community state type (CST) categorization. B, Proportion of Lactobacillus-/non-Lactobacillus-dominant status between age groups were assessed for statistical significance using Fisher exact test. C, Proportions of CST-polymicrobial relative to CST–Lactobacillus crispatus dominant between age groups were assessed for statistical significance using Fisher exact test. Abbreviations: CST, community state type; GV, Gardnerella vaginalis dominant; LC, Lactobacillus crispatus dominant; LD, Lactobacillus dominant; LI, Lactobacillus iners dom inant; LS, Lactobacillus species dominant; nLD, non-Lactobacillus dominant; OR, odds ratio; PM, polymicrobial.

    Article Snippet: Four microbiome types were identified based on predominant taxa, including Lactobacillus crispatus (CST-LC, 12.2%), Lactobacillus iners (CST-LI, 43.6%), Gardnerella vaginalis (CST-GV, 26.6%), or polymicrobial (CST-PM, 15.1%).

    Techniques: Functional Assay

    Figure 3. Cumulative human immunodeficiency virus (HIV) infection probability by vaginal bacterial community state type (CST). A, Kaplan-Meier curve demonstrates HIV infections per CST over time. Infection rates within CSTs Lactobacillus iners dominant (LI), Gardnerella vaginalis dominant (GV), and polymicrobial (PM) relative to CST– Lactobacillus crispatus dominant (LC) are assessed using the Cox proportional hazards model with hazard ratios (HRs) displayed. As there were very few participants in the CST–Lactobacillus spp-dominant (n = 17) microbiome group, resulting in limited power, it was not included in this HIV risk analysis. B, Percentages of HIV seroconversion across CSTs are shown. Fisher exact test–based P value is shown for seroconversion rates that differ significantly between CSTs. Number and percentage of individuals who did or did not acquire HIV are displayed.

    Journal: Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

    Article Title: Non-Lactobacillus-Dominant and Polymicrobial Vaginal Microbiomes Are More Common in Younger South African Women and Predictive of Increased Risk of Human Immunodeficiency Virus Acquisition.

    doi: 10.1093/cid/ciac938

    Figure Lengend Snippet: Figure 3. Cumulative human immunodeficiency virus (HIV) infection probability by vaginal bacterial community state type (CST). A, Kaplan-Meier curve demonstrates HIV infections per CST over time. Infection rates within CSTs Lactobacillus iners dominant (LI), Gardnerella vaginalis dominant (GV), and polymicrobial (PM) relative to CST– Lactobacillus crispatus dominant (LC) are assessed using the Cox proportional hazards model with hazard ratios (HRs) displayed. As there were very few participants in the CST–Lactobacillus spp-dominant (n = 17) microbiome group, resulting in limited power, it was not included in this HIV risk analysis. B, Percentages of HIV seroconversion across CSTs are shown. Fisher exact test–based P value is shown for seroconversion rates that differ significantly between CSTs. Number and percentage of individuals who did or did not acquire HIV are displayed.

    Article Snippet: Four microbiome types were identified based on predominant taxa, including Lactobacillus crispatus (CST-LC, 12.2%), Lactobacillus iners (CST-LI, 43.6%), Gardnerella vaginalis (CST-GV, 26.6%), or polymicrobial (CST-PM, 15.1%).

    Techniques: Virus, Infection