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Carella A, Carroll KC, Munson E. Update on novel validly published and included bacterial taxa derived from human clinical specimens and taxonomic revisions published in 2023. J Clin Microbiol 2024:e0100424. [PMID: 39495305 DOI: 10.1128/jcm.01004-24] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2024] Open
Abstract
Taxonomy is a systematic practice in which microorganisms are granted names to facilitate and standardize multi-disciplinary communication. We summarize novel bacterial taxa derived from human clinical material that were published in peer-reviewed literature and/or included by the International Journal of Systematic and Evolutionary Microbiology during calendar year 2023, as well as taxonomic revisions that have been published/included by the same entity. While the majority of newly discovered facultative and anaerobic organisms were derived from microbiome surveillance, noteworthy novel taxa in the realm of pathogenicity potential include those related to Aerococcus spp., several Corynebacterium spp., Exercitatus varius gen. nov., sp. nov., and Mycoplasma phocimorsus sp. nov. With respect to nomenclature revision, the Bacillus and Clostridium genera continue to be visited annually. Creation of novel anaerobic Gram-negative bacillus genera Hallella, Hoylesella, Leyella, Segatella, and Xylanibacter impacted several Bacteroides spp. and Prevotella spp. Additional studies are necessary to ascertain the clinical significance of several of these microbes.
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Affiliation(s)
- Arianna Carella
- Department of Medical Laboratory Science, Marquette University, Milwaukee, Wisconsin, USA
| | - Karen C Carroll
- Division of Medical Microbiology, Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Erik Munson
- Department of Medical Laboratory Science, Marquette University, Milwaukee, Wisconsin, USA
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Qing W, Shi Y, Chen R, Zou Y, Qi C, Zhang Y, Zhou Z, Li S, Hou Y, Zhou H, Chen M. Species-level resolution for the vaginal microbiota with short amplicons. mSystems 2024; 9:e0103923. [PMID: 38275296 PMCID: PMC10878104 DOI: 10.1128/msystems.01039-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 12/15/2023] [Indexed: 01/27/2024] Open
Abstract
Specific bacterial species have been found to play important roles in human vagina. Achieving high species-level resolution is vital for analyzing vaginal microbiota data. However, contradictory conclusions were yielded from different methodological studies. More comprehensive evaluation is needed for determining an optimal pipeline for vaginal microbiota. Based on the sequences of vaginal bacterial species downloaded from NCBI, we conducted simulated amplification with various primer sets targeting different 16S regions as well as taxonomic classification on the amplicons applying different combinations of algorithms (BLAST+, VSEARCH, and Sklearn) and reference databases (Greengenes2, SILVA, and RDP). Vaginal swabs were collected from participants with different vaginal microecology to construct 16S full-length sequenced mock communities. Both computational and experimental amplifications were performed on the mock samples. Classification accuracy of each pipeline was determined. Microbial profiles were compared between the full-length and partial 16S sequencing samples. The optimal pipeline was further validated in a multicenter cohort against the PCR results of common STI pathogens. Pipeline V1-V3_Sklearn_Combined had the highest accuracy for classifying the amplicons generated from both the NCBI downloaded data (84.20% ± 2.39%) and the full-length sequencing data (95.65% ± 3.04%). Vaginal samples amplified and sequenced targeting the V1-V3 region but merely employing the forward reads (223 bp) and classified using the optimal pipeline, resembled the mock communities the most. The pipeline demonstrated high F1-scores for detecting STI pathogens within the validation cohort. We have determined an optimal pipeline to achieve high species-level resolution for vaginal microbiota with short amplicons, which will facilitate future studies.IMPORTANCEFor vaginal microbiota studies, diverse 16S rRNA gene regions were applied for amplification and sequencing, which affect the comparability between different studies as well as the species-level resolution of taxonomic classification. We conducted comprehensive evaluation on the methods which influence the accuracy for the taxonomic classification and established an optimal pipeline to achieve high species-level resolution for vaginal microbiota with short amplicons, which will facilitate future studies.
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Affiliation(s)
- Wei Qing
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yiya Shi
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Department of Medical Laboratory, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Rongdan Chen
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yin'ai Zou
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Cancan Qi
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yingxuan Zhang
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zuyi Zhou
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Shanshan Li
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Yi Hou
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Department of Medical Laboratory, Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of South University of Science and Technology, Shenzhen, Guangdong, China
| | - Hongwei Zhou
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Muxuan Chen
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Symul L, Jeganathan P, Costello EK, France M, Bloom SM, Kwon DS, Ravel J, Relman DA, Holmes S. Sub-communities of the vaginal microbiota in pregnant and non-pregnant women. Proc Biol Sci 2023; 290:20231461. [PMID: 38018105 PMCID: PMC10685114 DOI: 10.1098/rspb.2023.1461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/30/2023] [Indexed: 11/30/2023] Open
Abstract
Diverse and non-Lactobacillus-dominated vaginal microbial communities are associated with adverse health outcomes such as preterm birth and the acquisition of sexually transmitted infections. Despite the importance of recognizing and understanding the key risk-associated features of these communities, their heterogeneous structure and properties remain ill-defined. Clustering approaches are commonly used to characterize vaginal communities, but they lack sensitivity and robustness in resolving substructures and revealing transitions between potential sub-communities. Here, we address this need with an approach based on mixed membership topic models. Using longitudinal data from cohorts of pregnant and non-pregnant study participants, we show that topic models more accurately describe sample composition, longitudinal changes, and better predict the loss of Lactobacillus dominance. We identify several non-Lactobacillus-dominated sub-communities common to both cohorts and independent of reproductive status. In non-pregnant individuals, we find that the menstrual cycle modulates transitions between and within sub-communities, as well as the concentrations of half of the cytokines and 18% of metabolites. Overall, our analyses based on mixed membership models reveal substructures of vaginal ecosystems which may have important clinical and biological associations.
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Affiliation(s)
- Laura Symul
- Department of Statistics, Stanford University, 390 Jane Stanford Way, Stanford, CA 94305, USA
| | - Pratheepa Jeganathan
- Department of Mathematics and Statistics, McMaster University, 1280 Main Street, West Hamilton, Ontario, Canada L8S 4K1
| | - Elizabeth K. Costello
- Department of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Michael France
- Institute for Genome Sciences, University of Maryland School of Medicine, 670 W. Baltimore Street, Baltimore, MD 21201, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, 685 West Baltimore Street, HSF-I Suite 380, Baltimore, MD 21201, USA
| | - Seth M. Bloom
- Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
- Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
- Ragon Institute of MGH, MIT, and Harvard, 400 Technology Square, Cambridge, MA 02139, USA
| | - Douglas S. Kwon
- Division of Infectious Diseases, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA
- Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
- Ragon Institute of MGH, MIT, and Harvard, 400 Technology Square, Cambridge, MA 02139, USA
| | - Jacques Ravel
- Institute for Genome Sciences, University of Maryland School of Medicine, 670 W. Baltimore Street, Baltimore, MD 21201, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, 685 West Baltimore Street, HSF-I Suite 380, Baltimore, MD 21201, USA
| | - David A. Relman
- Department of Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA
- Department of Microbiology & Immunology, Stanford University School of Medicine, 299 Campus Drive, Stanford, CA 94305, USA
- Infectious Diseases Section, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, CA 94304, USA
| | - Susan Holmes
- Department of Statistics, Stanford University, 390 Jane Stanford Way, Stanford, CA 94305, USA
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Costello EK, DiGiulio DB, Robaczewska A, Symul L, Wong RJ, Shaw GM, Stevenson DK, Holmes SP, Kwon DS, Relman DA. Abrupt perturbation and delayed recovery of the vaginal ecosystem following childbirth. Nat Commun 2023; 14:4141. [PMID: 37438386 PMCID: PMC10338445 DOI: 10.1038/s41467-023-39849-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 06/28/2023] [Indexed: 07/14/2023] Open
Abstract
The vaginal ecosystem is closely tied to human health and reproductive outcomes, yet its dynamics in the wake of childbirth remain poorly characterized. Here, we profile the vaginal microbiota and cytokine milieu of participants sampled longitudinally throughout pregnancy and for at least one year postpartum. We show that delivery, regardless of mode, is associated with a vaginal pro-inflammatory cytokine response and the loss of Lactobacillus dominance. By contrast, neither the progression of gestation nor the approach of labor strongly altered the vaginal ecosystem. At 9.5-months postpartum-the latest timepoint at which cytokines were assessed-elevated inflammation coincided with vaginal bacterial communities that had remained perturbed (highly diverse) from the time of delivery. Time-to-event analysis indicated a one-year postpartum probability of transitioning to Lactobacillus dominance of 49.4%. As diversity and inflammation declined during the postpartum period, dominance by L. crispatus, the quintessential health-associated commensal, failed to return: its prevalence before, immediately after, and one year after delivery was 41%, 4%, and 9%, respectively. Revisiting our pre-delivery data, we found that a prior live birth was associated with a lower odds of L. crispatus dominance in pregnant participants-an outcome modestly tempered by a longer ( > 18-month) interpregnancy interval. Our results suggest that reproductive history and childbirth in particular remodel the vaginal ecosystem and that the timing and degree of recovery from delivery may help determine the subsequent health of the woman and of future pregnancies.
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Affiliation(s)
- Elizabeth K Costello
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| | - Daniel B DiGiulio
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Anna Robaczewska
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Laura Symul
- Department of Statistics, Stanford University, Stanford, CA, 94305, USA
| | - Ronald J Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - David K Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Susan P Holmes
- Department of Statistics, Stanford University, Stanford, CA, 94305, USA
| | - Douglas S Kwon
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, 02139, USA
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - David A Relman
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
- Section of Infectious Diseases, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, 94304, USA.
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Zhou Y, Wei Y, Jiang L, Zhang Y, Jiao X. A ( S)-3-Hydroxybutyrate Dehydrogenase Belonging to the 3-Hydroxyacyl-CoA Dehydrogenase Family Facilitates Hydroxyacid Degradation in Anaerobic Bacteria. Appl Environ Microbiol 2023; 89:e0036623. [PMID: 37255440 PMCID: PMC10305046 DOI: 10.1128/aem.00366-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/12/2023] [Indexed: 06/01/2023] Open
Abstract
Ketone bodies, including acetoacetate, 3-hydroxybutyrate, and acetone, are produced in the liver of animals during glucose starvation. Enzymes for the metabolism of (R)-3-hydroxybutyrate have been extensively studied, but little is known about the metabolism of its enantiomer (S)-3-hydroxybutyrate. Here, we report the characterization of a novel pathway for the degradation of (S)-3-hydroxybutyrate in anaerobic bacteria. We identify and characterize a stereospecific (S)-3-hydroxylbutyrate dehydrogenase (3SHBDH) from Desulfotomaculum ruminis, which catalyzes the reversible NAD(P)H-dependent reduction of acetoacetate to form (S)-3-hydroxybutyrate. 3SHBDH also catalyzes oxidation of d-threonine (2R, 3S) and l-allo-threonine (2S, 3S), consistent with its specificity for β-(3S)-hydroxy acids. Isothermal calorimetry experiments support a sequential mechanism involving binding of NADH prior to (S)-3-hydroxybutyrate. Homologs of 3SHBDH are present in anaerobic fermenting and sulfite-reducing bacteria, and experiments with Clostridium pasteurianum showed that 3SHBDH, acetate CoA-transferase (YdiF), and (S)-3-hydroxybutyryl-CoA dehydrogenase (Hbd) are involved together in the degradation of (S)-3-hydroxybutyrate as a carbon and energy source for growth. (S)-3-hydroxybutyrate is a human metabolic marker and a chiral precursor for chemical synthesis, suggesting potential applications of 3SHBDH in diagnostics or the chemicals industry. IMPORTANCE (R)-3-hydroxybutyrate is well studied as a component of ketone bodies produced by the liver and of bacterial polyesters. However, the biochemistry of its enantiomer (S)-3-hydroxybutyrate is poorly understood. This study describes the identification and characterization of a stereospecific (S)-3-hydroxylbutyrate dehydrogenase and its function in a metabolic pathway for the degradation of (S)-3-hydroxybutyrate as a carbon and energy source in anaerobic bacteria. (S)-3-hydroxybutyrate is a mammalian metabolic marker and a precursor for chemical synthesis and bioplastics, suggesting potential applications of these enzymes in diagnostics and biotechnology.
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Affiliation(s)
- Yan Zhou
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu Province, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality (Ministry of Agriculture of China), Yangzhou University, Yangzhou, Jiangsu Province, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Yifeng Wei
- Singapore Institute of Food and Biotechnology Innovation, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Li Jiang
- Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency, Collaborative Innovation Center of Chemical Science and Engineering, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Yan Zhang
- Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency, Collaborative Innovation Center of Chemical Science and Engineering, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
- Frontiers Science Center for Synthetic Biology (Ministry of Education), Tianjin University, Tianjin, China
- Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin, China
| | - Xinan Jiao
- Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, Jiangsu Province, China
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality (Ministry of Agriculture of China), Yangzhou University, Yangzhou, Jiangsu Province, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, Jiangsu Province, China
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Carter KA, Fodor AA, Balkus JE, Zhang A, Serrano MG, Buck GA, Engel SM, Wu MC, Sun S. Vaginal Microbiome Metagenome Inference Accuracy: Differential Measurement Error according to Community Composition. mSystems 2023; 8:e0100322. [PMID: 36975801 PMCID: PMC10134888 DOI: 10.1128/msystems.01003-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/21/2023] [Indexed: 03/29/2023] Open
Abstract
Several studies have compared metagenome inference performance in different human body sites; however, none specifically reported on the vaginal microbiome. Findings from other body sites cannot easily be generalized to the vaginal microbiome due to unique features of vaginal microbial ecology, and investigators seeking to use metagenome inference in vaginal microbiome research are "flying blind" with respect to potential bias these methods may introduce into analyses. We compared the performance of PICRUSt2 and Tax4Fun2 using paired 16S rRNA gene amplicon sequencing and whole-metagenome sequencing data from vaginal samples from 72 pregnant individuals enrolled in the Pregnancy, Infection, and Nutrition (PIN) cohort. Participants were selected from those with known birth outcomes and adequate 16S rRNA gene amplicon sequencing data in a case-control design. Cases experienced early preterm birth (<32 weeks of gestation), and controls experienced term birth (37 to 41 weeks of gestation). PICRUSt2 and Tax4Fun2 performed modestly overall (median Spearman correlation coefficients between observed and predicted KEGG ortholog [KO] relative abundances of 0.20 and 0.22, respectively). Both methods performed best among Lactobacillus crispatus-dominated vaginal microbiotas (median Spearman correlation coefficients of 0.24 and 0.25, respectively) and worst among Lactobacillus iners-dominated microbiotas (median Spearman correlation coefficients of 0.06 and 0.11, respectively). The same pattern was observed when evaluating correlations between univariable hypothesis test P values generated with observed and predicted metagenome data. Differential metagenome inference performance across vaginal microbiota community types can be considered differential measurement error, which often causes differential misclassification. As such, metagenome inference will introduce hard-to-predict bias (toward or away from the null) in vaginal microbiome research. IMPORTANCE Compared to taxonomic composition, the functional potential within a bacterial community is more relevant to establishing mechanistic understandings and causal relationships between the microbiome and health outcomes. Metagenome inference attempts to bridge the gap between 16S rRNA gene amplicon sequencing and whole-metagenome sequencing by predicting a microbiome's gene content based on its taxonomic composition and annotated genome sequences of its members. Metagenome inference methods have been evaluated primarily among gut samples, where they appear to perform fairly well. Here, we show that metagenome inference performance is markedly worse for the vaginal microbiome and that performance varies across common vaginal microbiome community types. Because these community types are associated with sexual and reproductive outcomes, differential metagenome inference performance will bias vaginal microbiome studies, obscuring relationships of interest. Results from such studies should be interpreted with substantial caution and the understanding that they may over- or underestimate associations with metagenome content.
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Affiliation(s)
- Kayla A. Carter
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Anthony A. Fodor
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
| | - Jennifer E. Balkus
- Department of Epidemiology, University of Washington, Seattle, Washington, USA
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Angela Zhang
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - Myrna G. Serrano
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Gregory A. Buck
- Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Computer Science, College of Engineering, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Stephanie M. Engel
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Michael C. Wu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Shan Sun
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA
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Gut Microbiota of the Asian-Indian Type 2 Diabetes Phenotype: How Different It Is from the Rest of the World? J Indian Inst Sci 2023. [DOI: 10.1007/s41745-022-00351-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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Munson E, Carroll KC. Update on Accepted Novel Bacterial Isolates Derived from Human Clinical Specimens and Taxonomic Revisions Published in 2020 and 2021. J Clin Microbiol 2023; 61:e0028222. [PMID: 36533910 PMCID: PMC9879126 DOI: 10.1128/jcm.00282-22] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
A number of factors, including microbiome analyses and the increased utilization of whole-genome sequencing in the clinical microbiology laboratory, has contributed to the explosion of novel prokaryotic species discovery, as well as bacterial taxonomy revision. This review attempts to summarize such changes relative to human clinical specimens that occurred in 2020 and 2021, per primary publication in the International Journal of Systematic and Evolutionary Microbiology or acceptance on Validation Lists published by the International Journal of Systematic and Evolutionary Microbiology. Of particular significance among valid and effectively published taxa within the past 2 years were novel Corynebacterium spp., coagulase-positive staphylococci, Pandoraea spp., and members of family Yersiniaceae. Noteworthy taxonomic revisions include those within the Bacillus and Lactobacillus genera, family Staphylococcaceae (including unifications of subspecies designations to species level taxa), Elizabethkingia spp., and former members of Clostridium spp. and Bacteroides spp. Revisions within the Brucella genus have the potential to cause deleterious effects unless the relevance of such changes is properly communicated by microbiologists to stakeholders in clinical practice, infection prevention, and public health.
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Affiliation(s)
- Erik Munson
- Department of Medical Laboratory Science, Marquette University, Milwaukee, Wisconsin, USA
| | - Karen C. Carroll
- Division of Medical Microbiology, Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Mollin A, Katta M, Sobel JD, Akins RA. Association of key species of vaginal bacteria of recurrent bacterial vaginosis patients before and after oral metronidazole therapy with short- and long-term clinical outcomes. PLoS One 2022; 17:e0272012. [PMID: 35901180 PMCID: PMC9333308 DOI: 10.1371/journal.pone.0272012] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 07/11/2022] [Indexed: 11/23/2022] Open
Abstract
Bacterial vaginosis (BV) is associated with a state of vaginal dysbiosis typically involving depletion of otherwise dominant populations of Lactobacillus. The causes of this microbial succession are not known; there may be multiple causes. Standard treatment includes oral metronidazole, which typically restores Lactobacillus species to dominance. However, recurrence rates are high; recurrent BV patients recur 3–4 times annually and are often refractory to treatment. Our previous qPCR-based study of recurrent BV patients pointed to putatively more virulent species of Gardnerella that were associated with refractory responses to oral metronidazole, and less robust recovery of Lactobacillus species associated with recurrence after an initial period of remission. However, these associations did not account for outcomes in all patients, suggesting that other bacterial species were involved. In this follow-up study, we sequenced the V4 domain of 16S rRNA sequences of 41of these same patients pre- and posttreatment. Overall compositions among pretreatment clinical outcome groups were not different, although alpha diversity significantly decreased: refractory > recurrent > remission. Combinations of key species were associated with and prognostic for outcome. Higher pretreatment abundance of Megasphaera lornae together with lower abundance of Gardnerella Gsp07 and Finegoldia magna predicted long term remission after oral metronidazole. Furthermore, a subset of refractory patients that did not have high levels of Gardnerella Gsp07, instead had elevated levels of alternative species including Atopobium vaginae, Mageeibacillus indolicus (BVAB3), and Prevotella timonensis. Patients who recurred after transient remission had elevated abundance of species including Atopobium vaginae, Gardnerella, and Aerococcus christensenii, compared to long-term remission patients. Core bacterial species among refractory patients did not change in abundance after metronidazole, suggesting resistance or tolerance, in contrast to the loss in abundance of the same species among recurrent or remission patients. These findings have potential prognostic and therapeutic implications.
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Affiliation(s)
- Ashomathi Mollin
- Department of Biochemistry, Microbiology, & Immunology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Mounika Katta
- Department of Biochemistry, Microbiology, & Immunology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Jack D. Sobel
- Division of Infectious Diseases, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Robert A. Akins
- Department of Biochemistry, Microbiology, & Immunology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- * E-mail:
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Allen NG, Edupuganti L, Edwards DJ, Jimenez NR, Buck GA, Jefferson KK, Strauss JF, Wickham EP, Fettweis JM. The vaginal microbiome in women of reproductive age with healthy weight versus overweight/obesity. Obesity (Silver Spring) 2022; 30:142-152. [PMID: 34806323 PMCID: PMC9070090 DOI: 10.1002/oby.23306] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 07/26/2021] [Accepted: 08/25/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVE The aim of this study was to evaluate the differences between the vaginal microbiome of reproductive-aged women with overweight and obesity (Ow/Ob) compared with healthy weight (HW). METHODS In this case-control study, a cohort of 367 nonpregnant women (18 to 40 years) with Ow/Ob (BMI ≥25 kg/m2 ) was case-matched with 367 women with HW (BMI 18.0 to 24.9 kg/m2 ). The study was a secondary analysis of 16S rRNA vaginal microbiome surveys through the Vaginal Human Microbiome Study (VaHMP). Groups were matched on age, race/ethnicity, income, and nulliparity status. RESULTS Mean age and BMI of Ow/Ob and HW groups were 26.8 versus 26.7 years and 37.0 versus 22.1 kg/m2 , respectively. The overall vaginal microbiome composition differed between groups (PERMANOVA, p = 0.035). Women with Ow/Ob had higher alpha diversity compared with women with HW (Wilcoxon test, Shannon index p = 0.025; inverse Simpson index p = 0.026). Lactobacillus dominance (≥30% proportional abundance) was observed in a greater proportion of women with HW (48.7%) compared with Ow/Ob (40.1%; p = 0.026). CONCLUSIONS The vaginal microbiome differs in reproductive-aged women with Ow/Ob compared with women with HW, with increased alpha diversity and decreased predominance of Lactobacillus. Observed differences in the vaginal microbiome may partially explain differences in preterm birth and bacterial vaginosis risk between these populations.
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Affiliation(s)
- Natalie G. Allen
- Department of Pediatrics, Division of Endocrinology and Diabetes, Penn State Health, Hershey, Pennsylvania, USA
- Department of Pediatrics, Division of Endocrinology, Diabetes, and Metabolism, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Laahirie Edupuganti
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - David J. Edwards
- Department of Statistical Sciences & Operations Research, Virginia Commonwealth University, Richmond, VA, USA
| | - Nicole R. Jimenez
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Gregory A. Buck
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Kimberly K. Jefferson
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jerome F. Strauss
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, Virginia, USA
| | | | - Edmond P. Wickham
- Department of Pediatrics, Division of Endocrinology, Diabetes, and Metabolism, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Jennifer M. Fettweis
- Department of Microbiology and Immunology, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, Virginia, USA
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Glascock AL, Jimenez NR, Boundy S, Koparde VN, Brooks JP, Edwards DJ, Strauss Iii JF, Jefferson KK, Serrano MG, Buck GA, Fettweis JM. Unique roles of vaginal Megasphaera phylotypes in reproductive health. Microb Genom 2021; 7. [PMID: 34898422 PMCID: PMC8767330 DOI: 10.1099/mgen.0.000526] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The composition of the human vaginal microbiome has been extensively studied and is known to influence reproductive health. However, the functional roles of individual taxa and their contributions to negative health outcomes have yet to be well characterized. Here, we examine two vaginal bacterial taxa grouped within the genus Megasphaera that have been previously associated with bacterial vaginosis (BV) and pregnancy complications. Phylogenetic analyses support the classification of these taxa as two distinct species. These two phylotypes, Megasphaera phylotype 1 (MP1) and Megasphaera phylotype 2 (MP2), differ in genomic structure and metabolic potential, suggestive of differential roles within the vaginal environment. Further, these vaginal taxa show evidence of genome reduction and changes in DNA base composition, which may be common features of host dependence and/or adaptation to the vaginal environment. In a cohort of 3870 women, we observed that MP1 has a stronger positive association with bacterial vaginosis whereas MP2 was positively associated with trichomoniasis. MP1, in contrast to MP2 and other common BV-associated organisms, was not significantly excluded in pregnancy. In a cohort of 52 pregnant women, MP1 was both present and transcriptionally active in 75.4 % of vaginal samples. Conversely, MP2 was largely absent in the pregnant cohort. This study provides insight into the evolutionary history, genomic potential and predicted functional role of two clinically relevant vaginal microbial taxa.
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Affiliation(s)
| | - Nicole R Jimenez
- Department of Microbiology & Immunology, Virginia Commonwealth University, Richmond, VA, USA.,Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA
| | - Sam Boundy
- Department of Microbiology & Immunology, Virginia Commonwealth University, Richmond, VA, USA
| | - Vishal N Koparde
- Life Sciences, Virginia Commonwealth University, Richmond, VA, USA
| | - J Paul Brooks
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.,Department of Supply Chain Management and Analytics, Virginia Commonwealth University, Richmond, VA, USA
| | - David J Edwards
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.,Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, VA, USA
| | - Jerome F Strauss Iii
- Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.,Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, VA, USA
| | - Kimberly K Jefferson
- Department of Microbiology & Immunology, Virginia Commonwealth University, Richmond, VA, USA.,Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.,Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, VA, USA
| | - Myrna G Serrano
- Department of Microbiology & Immunology, Virginia Commonwealth University, Richmond, VA, USA.,Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA
| | - Gregory A Buck
- Department of Microbiology & Immunology, Virginia Commonwealth University, Richmond, VA, USA.,Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.,Department of Computer Science, Virginia Commonwealth University, Richmond, VA, USA
| | - Jennifer M Fettweis
- Department of Microbiology & Immunology, Virginia Commonwealth University, Richmond, VA, USA.,Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.,Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, VA, USA
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12
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Lopera TJ, Lujan JA, Zurek E, Zapata W, Hernandez JC, Toro MA, Alzate JF, Taborda NA, Rugeles MT, Aguilar-Jimenez W. A specific structure and high richness characterize intestinal microbiota of HIV-exposed seronegative individuals. PLoS One 2021; 16:e0260729. [PMID: 34855852 PMCID: PMC8638974 DOI: 10.1371/journal.pone.0260729] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 11/15/2021] [Indexed: 02/05/2023] Open
Abstract
Intestinal microbiota facilitates food breakdown for energy metabolism and influences the immune response, maintaining mucosal homeostasis. Overall, HIV infection is associated with intestinal dysbiosis and immune activation, which has been related to seroconversion in HIV-exposed individuals. However, it is unclear whether microbiota dysbiosis is the cause or the effect of immune alterations and disease progression or if it could modulate the risk of acquiring the HIV infection. We characterize the intestinal microbiota and determine its association with immune regulation in HIV-exposed seronegative individuals (HESN), HIV-infected progressors (HIV+), and healthy control (HC) subjects. For this, feces and blood were collected. The microbiota composition of HESN showed a significantly higher alpha (p = 0.040) and beta diversity (p = 0.006) compared to HC, but no differences were found compared to HIV+. A lower Treg percentage was observed in HESN (1.77%) than HC (2.98%) and HIV+ (4.02%), with enrichment of the genus Butyrivibrio (p = 0.029) being characteristic of this profile. Moreover, we found that Megasphaera (p = 0.017) and Victivallis (p = 0.0029) also are enriched in the microbiota composition in HESN compared to HC and HIV+ subjects. Interestingly, an increase in Succinivibrio and Prevotella, and a reduction in Bacteroides genus, which is typical of HIV-infected individuals, were observed in both HESN and HIV+, compared to HC. Thus, HESNs have a microbiota profile, similar to that observed in HIV+, most likely because HESN are cohabiting with their HIV+ partners.
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Affiliation(s)
- Tulio J. Lopera
- Facultad de Medicina, Grupo Inmunovirología, Universidad de Antioquia UdeA, Medellín, Colombia
| | - Jorge A. Lujan
- Facultad de Medicina, Grupo Inmunovirología, Universidad de Antioquia UdeA, Medellín, Colombia
| | - Eduardo Zurek
- Department of System Engineering, Universidad del Norte, Barranquilla, Colombia
| | - Wildeman Zapata
- Facultad de Medicina, Grupo Inmunovirología, Universidad de Antioquia UdeA, Medellín, Colombia
- Facultad de Medicina, Grupo Infettare, Universidad Cooperativa de Colombia, Medellín, Colombia
| | - Juan C. Hernandez
- Facultad de Medicina, Grupo Infettare, Universidad Cooperativa de Colombia, Medellín, Colombia
| | - Miguel A. Toro
- Facultad de Medicina, Centro Nacional de Secuenciación Genómica -CNSG, Sede de Investigación Universitaria -SIU, Universidad de Antioquia UdeA, Medellin, Colombia
- Facultad de Medicina, Grupo de Parasitología, Universidad de Antioquia, Medellín, Colombia
| | - Juan F. Alzate
- Facultad de Medicina, Centro Nacional de Secuenciación Genómica -CNSG, Sede de Investigación Universitaria -SIU, Universidad de Antioquia UdeA, Medellin, Colombia
| | - Natalia A. Taborda
- Facultad de Medicina, Grupo Inmunovirología, Universidad de Antioquia UdeA, Medellín, Colombia
- Facultad de Ciencias de la Salud, Grupo de Investigaciones Biomédicas Uniremington, Programa de Medicina, Corporación Universitaria Remington, Medellín, Colombia
| | - Maria T. Rugeles
- Facultad de Medicina, Grupo Inmunovirología, Universidad de Antioquia UdeA, Medellín, Colombia
| | - Wbeimar Aguilar-Jimenez
- Facultad de Medicina, Grupo Inmunovirología, Universidad de Antioquia UdeA, Medellín, Colombia
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13
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Sultan JS, Wang T, Hunte R, Srinivasan S, McWalters J, Tharp GK, Bosinger SE, Fiedler TL, Atrio JM, Murphy K, Barnett R, Ray LR, Krows ML, Fredricks DN, Irungu E, Ngure K, Mugo N, Marrazzo J, Keller MJ, Herold BC. Differences in vaginal microbiota, host transcriptome and proteins in women with bacterial vaginosis are associated with metronidazole treatment response. J Infect Dis 2021; 224:2094-2104. [PMID: 34003290 DOI: 10.1093/infdis/jiab266] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 05/17/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Bacterial vaginosis (BV) treatment failures and recurrences are common. To identify features associated with treatment response, we compared vaginal microbiota and host ectocervical transcriptome before and after oral metronidazole therapy. METHODS Women with BV (Bronx, NY and Thika, Kenya) received 7 days of oral metronidazole at enrollment (Day 0) and underwent genital tract sampling of microbiome (16S rRNA gene sequencing), transcriptome (RNAseq), and immune mediator concentrations on Day 0, 15 and 35. RESULTS Bronx participants were more likely than Thika participants to clinically respond to metronidazole (19/20 vs 10/18, respectively, p=0.0067) and by changes in microbiota composition and diversity. After dichotomizing the cohort into responders and non-responders by change in alpha diversity between Day 35 and Day 0, we identified transcription differences associated with chemokine signaling (q=0.002) and immune system process (q=2.5e-8) that differentiated responders from non-responders were present at enrollment. Responders had significantly lower levels of CXCL9 in cervicovaginal lavage on Day 0 (p< 0.007) and concentrations of CXCL9, CXCL10 and MCP-1 increased significantly between Day 0 and Day 35 in responders versus non-responders. CONCLUSIONS Response to metronidazole is characterized by significant changes in chemokines and related transcripts suggesting that treatments that promote these pathways may prove beneficial.
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Affiliation(s)
- Joyce Serebrenik Sultan
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Richard Hunte
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sujatha Srinivasan
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jessica McWalters
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Gregory K Tharp
- Yerkes Genomics Core Laboratory, Yerkes National Primate Research Center, Atlanta, GA, USA
| | - Steven E Bosinger
- Yerkes Genomics Core Laboratory, Yerkes National Primate Research Center, Atlanta, GA, USA.,Emory University School of Medicine, Department of Pathology & Laboratory Medicine, Atlanta, GA, USA.,Emory Vaccine Center, Emory University, Atlanta,GA, USA
| | - Tina L Fiedler
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jessica M Atrio
- Department of Obstetrics & Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kerry Murphy
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rebecca Barnett
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Laurie R Ray
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Meighan L Krows
- Department of Global Health, University of Washington, Seattle WA, USA
| | - David N Fredricks
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elizabeth Irungu
- Department of Medicine, Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Kenneth Ngure
- Department of Medicine, Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Nelly Mugo
- Department of Medicine, Center for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Jeanne Marrazzo
- University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
| | - Marla J Keller
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Betsy C Herold
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
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