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Racioethnic diversity in the dynamics of the vaginal microbiome during pregnancy
Open accessAbstract
The microbiome of the female reproductive tract has implications for women's reproductive health. We examined the vaginal microbiome in two cohorts of women who experienced normal term births: a cross-sectionally sampled cohort of 613 pregnant and 1,969 non-pregnant women, focusing on 300 pregnant and 300 non-pregnant women of African, Hispanic or European ancestry case-matched for race, gestational age and household income; and a longitudinally sampled cohort of 90 pregnant women of African or non-African ancestry. In these women, the vaginal microbiome shifted during pregnancy toward Lactobacillus-dominated profiles at the expense of taxa often associated with vaginal dysbiosis. The shifts occurred early in pregnancy, followed predictable patterns, were associated with simplification of the metabolic capacity of the microbiome and were significant only in women of African or Hispanic ancestry. Both genomic and environmental factors are likely contributors to these trends, with socioeconomic status as a likely environmental influence.
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“Women who often began pregnancy with a vaginal microbiome of greater ecological complexity generally converged towards a more homogeneous Lactobacillus-dominated microbiome by the second trimester58.”
From The Integrative Human Microbiome Project (2019) · cites this paper as [58]
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
Vaginal microbiome of reproductive-age women
Ravel, J., Gajer, P., Abdo, Z., Schneider, G. M., Koenig, S. S. K., McCulle, S. L., Karlebach, S., Gorle, R., Russell, J., Tacket, C. O., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002611107 · Cited by 4,254
Controlling the false discovery rate in behavior genetics research
Benjamini, Y., Drai, D., Elmer, G., Kafkafi, N., & Golani, I. (2001) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00297-2 · Cited by 4,146
The worldwide incidence of preterm birth: a systematic review of maternal mortality and morbidity
Beck, S., WOJDYLA, D. M., Say, L., Betrán, A. P., Meraldi, M., Requejo, J. H., Rubens, C. E., Menon, R., & Look, P. V. (2009) · Bulletin of the World Health Organization · doi:10.2471/blt.08.062554 · Cited by 2,190
Self-citationThe NIH Human Microbiome ProjectPreprint
The NIH HMP Working Group, Peterson, J. L., Garges, S., Giovanni, M. Y., McInnes, P., Wang, L., Schloss, J. A., Bonazzi, V. R., McEwen, J. E., Wetterstrand, K. A., et al. (2009) · Genome Research · doi:10.1101/gr.096651.109 · Cited by 2,168
Metagenomic microbial community profiling using unique clade-specific marker genes
Segata, N., Waldron, L., Ballarini, A., Narasimhan, V., Jousson, O., & Huttenhower, C. (2012) · Nature Methods · doi:10.1038/nmeth.2066 · Cited by 1,776
Species-level functional profiling of metagenomes and metatranscriptomes
Franzosa, E. A., McIver, L. J., Rahnavard, G., Thompson, L. R., Schirmer, M., Weingart, G., Lipson, K. S., Knight, R., Caporaso, J. G., Segata, N., et al. (2018) · Nature Methods · doi:10.1038/s41592-018-0176-y · Cited by 1,693
Temporal Dynamics of the Human Vaginal Microbiota
Gajer, P., Brotman, R. M., Bai, G., Sakamoto, J. M., Schütte, U. M. E., Zhong, X., Koenig, S. S. K., Fu, L., Ma, Z. S., Zhou, X., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003605 · Cited by 1,583
The Integrative Human Microbiome Project
The Integrative HMP (iHMP) Research Network Consortium, Proctor, L. M., Creasy, H. H., Fettweis, J. M., Lloyd-Price, J., Mahurkar, A., Zhou, W., Buck, G. A., Snyder, M. P., Strauss, J. F., et al. (2019) · Nature · doi:10.1038/s41586-019-1238-8 · Cited by 1,381
Self-citationTemporal and spatial variation of the human microbiota during pregnancy
DiGiulio, D. B., Callahan, B. J., McMurdie, P. J., Costello, E. K., Lyell, D. J., Robaczewska, A., Sun, C. L., Goltsman, D. S. A., Wong, R. J., Shaw, G., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1502875112 · Cited by 1,129
Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
Abubucker, S., Segata, N., Goll, J. B., Schubert, A. M., Izard, J., Cantarel, B. L., Rodriguez-Mueller, B., Zucker, J., Thiagarajan, M., Henrissat, B., et al. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002358 · Cited by 1,076
The vaginal microbiome and preterm birth
Fettweis, J. M., Serrano, M. G., Brooks, J. P., Edwards, D. J., Girerd, P. H., Parikh, H. I., Huang, B., Arodz, T. J., Edupuganti, L., Glascock, A. L., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0450-2 · Cited by 983
Self-citationRomero, R., Hassan, S. S., Gajer, P., Tarca, A. L., Fadrosh, D. W., Nikita, L., Galuppi, M., Lamont, R. F., Chaemsaithong, P., Miranda, J., et al. (2014) · Microbiome · doi:10.1186/2049-2618-2-4 · Cited by 852
Vaginal Microbiome: Rethinking Health and Disease
Ma, B., Forney, L. J., & Ravel, J. (2012) · Annual Review of Microbiology · doi:10.1146/annurev-micro-092611-150157 · Cited by 746
A Metagenomic Approach to Characterization of the Vaginal Microbiome Signature in Pregnancy
Aagaard, K. M., Riehle, K. P., Ma, J., Segata, N., Mistretta, T., Coarfa, C., Raza, S., Rosenbaum, S., den Veyver, I. B. V., Milosavljevic, A., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036466 · Cited by 742
The Human Microbiome during Bacterial Vaginosis
Onderdonk, A. B., Delaney, M. L., & Fichorova, R. N. (2016) · Clinical Microbiology Reviews · doi:10.1128/cmr.00075-15 · Cited by 678
Ounit, R., Wanamaker, S. I., Close, T. J., & Lonardi, S. (2015) · BMC Genomics · doi:10.1186/s12864-015-1419-2 · Cited by 647
The vaginal microbiome during pregnancy and the postpartum period in a European population
MacIntyre, D. A., Chandiramani, M., Lee, Y. S., Kindinger, L. M., Smith, A., Angelopoulos, N., Lehne, B. C., Arulkumaran, S., Brown, R., Teoh, T. G., et al. (2015) · Scientific Reports · doi:10.1038/srep08988 · Cited by 580
Zhou, X., Brown, C. J., Abdo, Z., Davis, C., Hansmann, M. A., Joyce, P., Foster, J. A., & Forney, L. J. (2007) · The ISME Journal · doi:10.1038/ismej.2007.12 · Cited by 567
Differences in vaginal microbiome in African American women versus women of European ancestry
Fettweis, J. M., Brooks, J. P., Serrano, M. G., Sheth, N. U., Girerd, P. H., Edwards, D., Strauss, J. F., Jefferson, K. K., & Buck, G. A. (2014) · Microbiology · doi:10.1099/mic.0.081034-0 · Cited by 546
Self-citation(2014) · Cell Host & Microbe · doi:10.1016/j.chom.2014.08.014 · Cited by 536
The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies
Vaginal Microbiome Consortium (additional members), Brooks, J. P., Edwards, D. J., Harwich, M. D., Rivera, M. C., Fettweis, J. M., Serrano, M. G., Reris, R. A., Sheth, N. U., Huang, B., et al. (2015) · BMC Microbiology · doi:10.1186/s12866-015-0351-6 · Cited by 528
Self-citationLactobacillus species as biomarkers and agents that can promote various aspects of vaginal health
Petrova, M. I., Lievens, E., Malik, S., Imholz, N., & Lebeer, S. (2015) · Frontiers in Physiology · doi:10.3389/fphys.2015.00081 · Cited by 523
Temporal Variability of Human Vaginal Bacteria and Relationship with Bacterial Vaginosis
Srinivasan, S., Liu, C., Mitchell, C. M., Fiedler, T. L., Thomas, K. K., Agnew, K. J., Marrazzo, J. M., & Fredricks, D. N. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010197 · Cited by 471
Goldenberg, R. L., Iams, J. D., Mercer, B. M., Meis, P. J., Moawad, A. H., Copper, R. L., Das, A. M., Thom, E. A., Johnson, F. F., McNellis, D., et al. (1998) · American Journal of Public Health · doi:10.2105/ajph.88.2.233 · Cited by 440
Targeted PCR for Detection of Vaginal Bacteria Associated with Bacterial Vaginosis
Fredricks, D. N., Fiedler, T. L., Thomas, K. K., Oakley, B. B., & Marrazzo, J. M. (2007) · Journal of Clinical Microbiology · doi:10.1128/jcm.01272-07 · Cited by 412
Callahan, B. J., DiGiulio, D. B., Goltsman, D. S. A., Sun, C. L., Costello, E. K., Jeganathan, P., Biggio, J. R., Wong, R. J., Druzin, M. L., Shaw, G. M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1705899114 · Cited by 391
Stout, M. J., Conlon, B., Landeau, M., Lee, I., Bower, C., Zhao, Q., Roehl, K. A., Nelson, D. M., Macones, G. A., & Mysorekar, I. U. (2013) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2013.01.018 · Cited by 389
Ravel, J., Brotman, R. M., Gajer, P., Ma, B., Nandy, M., Fadrosh, D. W., Sakamoto, J. M., Koenig, S. S. K., Fu, L., Zhou, X., et al. (2013) · Microbiome · doi:10.1186/2049-2618-1-29 · Cited by 349
Diversity of the Vaginal Microbiome Correlates With Preterm Birth
Hyman, R. W., Fukushima, M., Jiang, H., Fung, E., Rand, L., Johnson, B., Vo, K. C., Caughey, A. B., Hilton, J. F., Davis, R. W., et al. (2013) · Reproductive Sciences · doi:10.1177/1933719113488838 · Cited by 340
Menopause and the vaginal microbiome
Muhleisen, A. L., & Herbst‐Kralovetz, M. M. (2016) · Maturitas · doi:10.1016/j.maturitas.2016.05.015 · Cited by 329
Understanding vaginal microbiome complexity from an ecological perspective
Hickey, R. J., Zhou, X., Pierson, J. D., Ravel, J., & Forney, L. J. (2012) · Translational research · doi:10.1016/j.trsl.2012.02.008 · Cited by 278
Nucleotide Biosynthesis Is Critical for Growth of Bacteria in Human Blood
Samant, S., Lee, H., Ghassemi, M., Chen, J., Cook, J. L., Mankin, A. S., & Neyfakh, A. A. (2008) · PLoS Pathogens · doi:10.1371/journal.ppat.0040037 · Cited by 271
"Dark" Purkinje cells of the cerebellar cortex.
Leranth, C., & Hámori, J. (1970) · PubMed · Cited by 264
Sobel, J. D. (2000) · Annual Review of Medicine · doi:10.1146/annurev.med.51.1.349 · Cited by 245
Women and Their Microbes: The Unexpected Friendship
Younes, J. A., Lievens, E., Hummelen, R., van der Westen, R., Reid, G., & Petrova, M. (2017) · Trends in Microbiology · doi:10.1016/j.tim.2017.07.008 · Cited by 243
Spear, G. T., French, A. L., Gilbert, D. Z., Zariffard, M. R., Mirmonsef, P., Sullivan, T. H., Spear, W. W., LANDAY, A. L., Micci, S., Lee, B.-H., et al. (2014) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiu231 · Cited by 216
Prevalence of Bacterial Vaginosis and Vaginal Flora Changes in Peri- and Postmenopausal Women
Cauci, S., Driussi, S., Santo, D. D., Penacchioni, P., Iannicelli, T., Lanzafame, P., Seta, F. D., Quadrifoglio, F., Aloysio, D. D., & Guaschino, S. (2002) · Journal of Clinical Microbiology · doi:10.1128/jcm.40.6.2147-2152.2002 · Cited by 204
Freitas, A. C., Chaban, B. L., Bocking, A. D., Rocco, M., Yang, S., Hill, J. E., Money, D., Hemmingsen, S. M., Reid, G., Dumonceaux, T., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-07790-9 · Cited by 198
Species-level classification of the vaginal microbiome
Fettweis, J. M., Serrano, M. G., Sheth, N. U., Mayer, C. M., Glascock, A. L., Brooks, J. P., Jefferson, K. K., & Buck, G. A. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-s8-s17 · Cited by 187
Self-citationPregnancy's Stronghold on the Vaginal Microbiome
Walther-Antonio, M. R. S., Jeraldo, P., Miller, M. E. B., Yeoman, C. J., Nelson, K. E., Wilson, B. A., White, B. A., Chia, N., & Creedon, D. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098514 · Cited by 187
Ahmed, A., Earl, J., Retchless, A. C., Hillier, S. L., Rabe, L. K., Cherpes, T. L., Powell, E., Janto, B., Eutsey, R. A., Hiller, N. L., et al. (2012) · Journal of Bacteriology · doi:10.1128/jb.00056-12 · Cited by 173
Vaginal Microflora in Postmenopausal Women Who Have Not Received Estrogen Replacement Therapy
Hillier, S. L., & Lau, R. J. (1997) · Clinical Infectious Diseases · doi:10.1086/516221 · Cited by 168
The Vaginal Microbiome: Current Understanding and Future Directions
Martin, D. H., & Marrazzo, J. M. (2016) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiw184 · Cited by 163
Janulaitienė, M., Paliulytė, V., Grincevičienė, Š., Zakarevičienė, J., Vladisauskiene, A., Marcinkute, A., & Plečkaitytė, M. (2017) · BMC Infectious Diseases · doi:10.1186/s12879-017-2501-y · Cited by 158
Goltsman, D. S. A., Sun, C. L., Proctor, D. M., DiGiulio, D. B., Robaczewska, A., Thomas, B. C., Shaw, G. M., Stevenson, D. K., Holmes, S., Banfield, J. F., et al. (2018) · Genome Research · doi:10.1101/gr.236000.118 · Cited by 149
Prevalence and Determinants of Vaginal Flora Alterations in Postmenopausal Women
Pabich, W. L., Fihn, S. D., Stamm, W. E., Scholes, D., Boyko, E. J., & Gupta, K. (2003) · The Journal of Infectious Diseases · doi:10.1086/378203 · Cited by 141
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
Hahsler, M., Chelluboina, S., Hornik, K., & Buchta, C. (2011) · Cited by 134
Comparison of Self-Collected and Physician-Collected Vaginal Swabs for Microbiome Analysis
Forney, L. J., Gajer, P., Williams, C. J., Schneider, G., Koenig, S. S. K., McCulle, S. L., Karlebach, S., Brotman, R. M., Davis, C., Ault, K. A., et al. (2010) · Journal of Clinical Microbiology · doi:10.1128/jcm.01710-09 · Cited by 128
Brooks, J. P., Edwards, D., Blithe, D., Fettweis, J. M., Serrano, M. G., Sheth, N. U., Strauss, J. F., Buck, G. A., & Jefferson, K. K. (2016) · Contraception · doi:10.1016/j.contraception.2016.11.006 · Cited by 128
Self-citationEarly Pregnancy Changes in Bacterial Vaginosis‐Associated Bacteria and Preterm Delivery
Nelson, D. B., Hanlon, A. L., Nachamkin, I., Haggerty, C. L., Mastrogiannis, D. S., Liu, C., & Fredricks, D. N. (2014) · Paediatric and Perinatal Epidemiology · doi:10.1111/ppe.12106 · Cited by 118
Biotypes of Gardnerella vaginalis
Piot, P., Dyck, E. V., Peeters, M., Hale, J., Totten, P. A., & Holmes, K. K. (1984) · Journal of Clinical Microbiology · doi:10.1128/jcm.20.4.677-679.1984 · Cited by 116
Vaginal microbiota and susceptibility to HIV
Eastment, M. C., & McClelland, R. S. (2018) · AIDS · doi:10.1097/qad.0000000000001768 · Cited by 114
Menard, J. P., Mazouni, C., Salem-Cherif, I., Fenollar, F., Raoult, D., Boubli, L., GAMERRE, M., & Bretelle, F. (2009) · Obstetrics and Gynecology · doi:10.1097/aog.0b013e3181c391d7 · Cited by 109
Gardnerella vaginalis comprises three distinct genotypes of which only two produce sialidase
Santiago, G. L. D. S., Deschaght, P., Aila, N. A. E., Kiama, T. N., Verstraelen, H., Jefferson, K. K., Temmerman, M., & Vaneechoutte, M. (2011) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2010.12.061 · Cited by 105
Self-citationA pure L1 -norm principal component analysis
Brooks, J. P., Dulá, J. H., & Boone, E. L. (2012) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2012.11.007 · Cited by 103
Self-citationMeFiT: merging and filtering tool for illumina paired-end reads for 16S rRNA amplicon sequencing
Parikh, H. I., Kopardé, V. N., Bradley, S. P., Buck, G. A., & Sheth, N. U. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1358-1 · Cited by 97
Self-citationIncidence and risk factors of preterm birth in a rural Bangladeshi cohort
for the ProjAHNMo Study Group in Bangladesh, Shah, R., Mullany, L. C., Darmstadt, G. L., Mannan, I., Rahman, S. M., Talukder, M. R., Applegate, J. A., Begum, N., Mitra, D. K., et al. (2014) · BMC Pediatrics · doi:10.1186/1471-2431-14-112 · Cited by 95
The contribution of genetic and environmental factors to the duration of pregnancy
York, T. P., Eaves, L. J., Neale, M. C., & Strauss, J. F. (2013) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2013.10.001 · Cited by 84
Self-citationIngianni, A., Petruzzelli, S., Morandotti, G. A., & Pompei, R. (1997) · FEMS Immunology & Medical Microbiology · doi:10.1111/j.1574-695x.1997.tb01028.x · Cited by 55
Modi, B. P., Teves, M. E., Pearson, L. N., Parikh, H. I., Haymond‐Thornburg, H., Tucker, J. L., Chaemsaithong, P., Gomez‐Lopez, N., York, T. P., Romero, R. J., et al. (2017) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.330 · Cited by 47
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Tielsch, J. M. (2015) · Nestlé Nutrition Institute Workshop series · doi:10.1159/000365798 · Cited by 45
Bacterial species colonizing the vagina of healthy women are not associated with race
Beamer, M. A., Austin, M. N., Avolia, H. A., Meyn, L. A., Bunge, K. E., & Hillier, S. L. (2017) · Anaerobe · doi:10.1016/j.anaerobe.2017.02.020 · Cited by 41
A Systematic Review of DNA Methylation and Preterm Birth in African American Women
Barcelona, V., Wright, M. L., Agaba, C., Prescott, L., Desir, A., Crusto, C. A., Sun, Y. V., & Taylor, J. Y. (2016) · Biological Research For Nursing · doi:10.1177/1099800416669049 · Cited by 34
Popadin, K. Y., Peischl, S., Garieri, M., Sailani, M. R., Letourneau, A., Santoni, F. A., Lukowski, S. W., Bazykin, G. A., Nikolaev, S. I., Meyer, D., et al. (2017) · Genome Research · doi:10.1101/gr.228411.117 · Cited by 29
Goltsman, D. S. A., Sun, C. L., Proctor, D. M., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/266700 · Cited by 13
Identifying hospital antimicrobial resistance targets via robust ranking
Brooks, J. P., Dulá, J. H., Pakyz, A. L., & Polk, R. E. (2017) · IISE Transactions on Healthcare Systems Engineering · doi:10.1080/24725579.2017.1339148 · Cited by 3
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Metadata
- Authors
- Serrano, M. G., Parikh, H. I., Brooks, J. P., Edwards, D. J., Arodz, T. J., Edupuganti, L., Huang, B., Girerd, P. H., Bokhari, Y. A., Bradley, S. P., Brooks, J. L., Dickinson, M. R., Drake, J. I., Duckworth, R. A., Fong, S. S., Glascock, A. L., Jean, S., Jimenez, N. R., Khoury, J., Koparde, V. N., Lara, A. M., Lee, V., Matveyev, A. V., Milton, S. H., Mistry, S. D., Rozycki, S. K., Sheth, N. U., Smirnova, E., Vivadelli, S. C., Wijesooriya, N. R., Xu, J., Xu, P., Chaffin, D. O., Sexton, A. L., Gravett, M. G., Rubens, C. E., Hendricks-Muñoz, K. D., Jefferson, K. K., Strauss, J. F., Fettweis, J. M., & Buck, G. A.
- Affiliations
- Virginia Commonwealth University (US)
- Global Alliance to Prevent Prematurity and Stillbirth (US)
- University of Washington (US)
- Corresponding author
- Buck, Gregory A.
- ORCID
- Serrano, Myrna G.
- Parikh, Hardik I.
- Brooks, J. Paul
- Edwards, David J.
- Arodz, Tom J.
- Edupuganti, Laahirie
- Bokhari, Yahya A.
- Brooks, Jamie L.
- Drake, Jennifer I.
- Fong, Stephen S.
- Glascock, Abigail L.
- Jimenez, Nicole R.
- Rozycki, Sarah K.
- Smirnova, Ekaterina
- Xu, Ping
- Gravett, Michael G.
- Jefferson, Kimberly K.
- Strauss, Jerome F.
- Fettweis, Jennifer M.
- Buck, Gregory A.
- Venue
- Nature Medicine
- Published
- 2019-05-29
- Volume
- 25
- Issue
- 6
- Pages
- 1001-1011
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC6746180
- OpenAlex
- W2947787281
- Cited by
- 300
- References
- 70
- Citations by year
- 2026: 28 · 2025: 31 · 2024: 40 · 2023: 58 · 2022: 46 · 2021: 52 · 2020: 33 · 2019: 12
- FWCI
- 26.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (R25GM090084)
- National Institute of Allergy and Infectious Diseases (UH2AI083263, UH3AI083263)
- National Institute of Dental and Craniofacial Research (U54DE023786)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (U54HD080784, R01HD092415, R21HD092965)
- Topics
- Life Sciences › Immunology and Microbiology › Microbiology › Reproductive tract infections research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- vaginal microbiota, pregnancy, racial and ethnic diversity, Lactobacillus, vaginal dysbiosis, African ancestry, Hispanic origin, socioeconomic status, reproductive tract microbiome, term birth
- MeSH terms
- Host Microbial Interactions, Adult, Black or African American, Cross-Sectional Studies, Female, Hispanic or Latino, Humans, Pregnancy, Social Class, Vagina, Cohort Studies, White People, Biodiversity, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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