The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Temporal and spatial variation of the human microbiota during pregnancy
Open accessAbstract
Significance: The human indigenous microbial communities (microbiota) play critical roles in health and may be especially important for mother and fetus during pregnancy. Using a case-control cohort of 40 women, we characterized weekly variation in the vaginal, gut, and oral microbiota during and after pregnancy. Microbiota membership remained relatively stable at each body site during pregnancy. An altered vaginal microbial community was associated with preterm birth; this finding was corroborated by an analysis of samples from an additional cohort of nine women. We also discovered an abrupt change in the vaginal microbiota at delivery that persisted in some cases for at least 1 y. Our findings suggest that pregnancy outcomes might be predicted by features of the microbiota early in gestation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Women who went on to experience spontaneous PTB were less likely to exhibit a vaginal microbiota dominated by Lactobacillus crispatus, as previously reported in other populations59–62”
From The Integrative Human Microbiome Project (2019) · cites this paper as [59]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data
McMurdie, P. J., & Holmes, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061217 · Cited by 21,942
Self-citationEstimating the Number of Clusters in a Data Set Via the Gap Statistic
Tibshirani, R., Walther, G., & Hastie, T. (2001) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00293 · Cited by 6,205
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
Human Genetics Shape the Gut Microbiome
Goodrich, J. K., Waters, J. L., Poole, A. C., Sutter, J. L., Koren, O., Blekhman, R., Beaumont, M., Van Treuren, W., Knight, R., Bell, J. T., et al. (2014) · Cell · doi:10.1016/j.cell.2014.09.053 · Cited by 3,164
Born Too Soon: The global epidemiology of 15 million preterm births
Blencowe, H. K., Cousens, S. N., Chou, D., Oestergaard, M. Z., Say, L., Moller, A., Kinney, M. V., Lawn, J. E., & the Born Too Soon Preterm Birth Action Group (see acknowledgement for full list) (2013) · Reproductive Health · doi:10.1186/1742-4755-10-s1-s2 · Cited by 2,214
Host Remodeling of the Gut Microbiome and Metabolic Changes during Pregnancy
Koren, O., Goodrich, J. K., Cullender, T. C., Spor, A., Laitinen, K., Kling Bäckhed, H., Gonzalez, A., Werner, J. J., Angenent, L. T., Knight, R., et al. (2012) · Cell · doi:10.1016/j.cell.2012.07.008 · Cited by 2,165
Preterm labor: One syndrome, many causes
Romero, R., Dey, S. K., & Fisher, S. J. (2014) · Science · doi:10.1126/science.1251816 · Cited by 1,984
An ecological and evolutionary perspective on human–microbe mutualism and disease
Dethlefsen, L., McFall-Ngai, M., & Relman, D. A. (2007) · Nature · doi:10.1038/nature06245 · Cited by 1,660
Self-citationTemporal 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
Flagged first, then by citations
Cited by
Sorted by citations
Items 601–700 of 1,000
Fang, J., Chen, L., Chen, Z., Jiang, X., & Pan, M. (2020) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2020.06.016 · Cited by 14
Susic, D. F., Davis, G. K., Sullivan, A. J. O., McGovern, E., Harris, K., Roberts, L. M., Craig, M. E., Mangos, G., Hold, G. L., El-Omar, E. M., et al. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-040189 · Cited by 14
Gerson, K. D., McCarthy, C., Ravel, J., Elovitz, M. A., & Burris, H. H. (2020) · American Journal of Perinatology · doi:10.1055/s-0040-1717098 · Cited by 14
Longitudinal study on clinical and microbial analysis of periodontal status in pregnancy
Machado, F. C., Cesar, D. E., Apolônio, A. C. M., Ribeiro, L. C., & Ribeiro, R. A. (2016) · Brazilian Oral Research · doi:10.1590/1807-3107bor-2016.vol30.0087 · Cited by 14
Microbiota Ecosystem in Recurrent Cystitis and the Immunological Microenvironment of Urothelium
Dominoni, M., Scatigno, A. L., La Verde, M., Bogliolo, S., Melito, C., Gritti, A., Pasquali, M. F., Torella, M., & Gardella, B. (2023) · Healthcare · doi:10.3390/healthcare11040525 · Cited by 13
Rizzi, S., Saroglia, G., Kalemi, V., Rimoldi, S., & Terova, G. (2025) · Applied Sciences · doi:10.3390/app15179781 · Cited by 14
Pregnancy associates with alterations to the host and microbial proteome in vaginal mucosa
Zuend, C. F., Tobin, N. H., Vera, T., Kotyrba, L., Noël‐Romas, L., Birse, K., Mutch, S. A., Li, F., Lee, D., McCorrister, S. J., et al. (2020) · American Journal of Reproductive Immunology · doi:10.1111/aji.13235 · Cited by 13
Tang, M., & Marroquin, E. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.1057424 · Cited by 13
Dennison, C. A., Eslinger, A. J., & Reimer, R. A. (2017) · Frontiers in Endocrinology · doi:10.3389/fendo.2017.00301 · Cited by 13
Liang, X., Li, Z., Tye, K. D., Chen, Y., Luo, H., & Xiao, X. (2020) · Journal of obstetrics and gynaecology research · doi:10.1111/jog.14434 · Cited by 13
Correia, G. D. S., Marchesi, J. R., & MacIntyre, D. A. (2023) · Current Opinion in Microbiology · doi:10.1016/j.mib.2023.102292 · Cited by 13
Stupak, A., & Kwaśniewski, W. M. (2023) · Biomolecules · doi:10.3390/biom13060911 · Cited by 14
An overview of major metagenomic studies on human microbiomes in health and disease
Cui, H., Li, Y., & Zhang, X. (2016) · Quantitative Biology · doi:10.1007/s40484-016-0078-x · Cited by 13
Dawson, S. L., Craig, J. M., Clarke, G. A., Mohebbi, M., Dawson, P., Tang, M. L. K., & Jacka, F. N. (2019) · JMIR Research Protocols · doi:10.2196/14771 · Cited by 13
Oguri, N., Kobayashi, C., Ozawa, Y., Kimura, T., Nishinarita, Y., Wada, H., Nemoto, N., Narita, M., Tanigaki, S., Hanawa, T., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63466-3 · Cited by 13
He, Y., Huang, Y., Zhang, Z., Feng-ping, Y., & Zheng, Y. (2019) · PeerJ · doi:10.7717/peerj.8172 · Cited by 12
Liu, N., Sun, Y., Wang, Y., Ma, L., Zhang, S., & Lin, H. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1126572 · Cited by 12
Paietta, E. N., Kraberger, S. J., Custer, J. M., Vargas, K. L., Espy, C., Ehmke, E. E., Yoder, A. D., & Varsani, A. (2023) · Viruses · doi:10.3390/v15091821 · Cited by 12
Longitudinal analysis on the ecological dynamics of the cervicovaginal microbiome in hrHPV infection
Molina, M. A., Melchers, W. J. G., Andralojc, K. M., Leenders, W. P. J., & Huynen, M. A. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2023.09.011 · Cited by 12
Zhou, Q., Yu, Y., Zhou, J., Liu, J., & Gao, J. (2023) · Journal of Women s Health · doi:10.1089/jwh.2023.0393 · Cited by 12
Muzny, C. A., Elnaggar, J. H., Sousa, L. G. V., Lima, Â., Aaron, K. J., Eastlund, I. C., Graves, K. J., Dong, C., Gerwen, O. T. V., Luo, M., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-083516 · Cited by 13
Gaire, T. N., Scott, H. M., Noyes, N. R., Ericsson, A. C., Tokach, M. D., William, H. K., Menegat, M. B., Vinasco, J., Nagaraja, T. G., & Volkova, V. V. (2024) · Animal Microbiome · doi:10.1186/s42523-024-00294-8 · Cited by 12
Maternal pre- and postnatal stress and maternal and infant gut microbiota features
Eckermann, H. A., Lustermans, H., Pärnänen, K. M. M., Lahti, L., & de Weerth, C. (2025) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2024.107273 · Cited by 13
Austin, G. I., & Korem, T. (2025) · mSystems · doi:10.1128/msystems.00021-25 · Cited by 12
Baghfalaki, T., & Ganjali, M. (2021) · Statistical Methods in Medical Research · doi:10.1177/09622802211002868 · Cited by 12
Maternal microbial factors that affect the fetus and subsequent offspring
Mirpuri, J., & Neu, J. (2021) · Seminars in Perinatology · doi:10.1016/j.semperi.2021.151449 · Cited by 13
Gestational microbiome: metabolic perturbations and developmental programming
Han, S., Ellberg, C. C., Olomu, I. N., & Vyas, A. K. (2021) · Reproduction · doi:10.1530/rep-21-0241 · Cited by 12
Hill, J. E., Peña-Sánchez, J. N., Fernando, C., Freitas, A. C., Gamage, N. W., & Fowler, S. A. (2021) · Inflammatory Bowel Diseases · doi:10.1093/ibd/izab314 · Cited by 12
Dabee, S., Tanko, R. F., Brown, B. P., Bunjun, R., Balle, C., Feng, C., Konstantinus, I. N., Jaumdally, S. Z., Onono, M. A., Nair, G., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.760504 · Cited by 12
Turroni, F., Rizzo, S. M., Ventura, M., & Bernasconi, S. (2022) · Microbiome Research Reports · doi:10.20517/mrr.2021.14 · Cited by 12
Fasano, A., & Flaherty, S. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/11291.001.0001 · Cited by 14
Shen, L., Wang, W., Hou, W., Jiang, C., Yuan, Y., Hu, L., & Shang, A. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.1025714 · Cited by 14
Female reproductive tract microbiome in gynecological health and problems
Haldar, S., Kapil, A., Sood, S., & Sengupta, S. (2016) · Journal of Reproductive Health and Medicine · doi:10.1016/j.jrhm.2016.11.007 · Cited by 13
Interactive Visualization of Hierarchically Structured Data
Sankaran, K., & Holmes, S. (2017) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2017.1392866 · Cited by 12
Self-citationShibata, T., Nakagawa, M., Coleman, H. N., Owens, S. M., Greenfield, W. W., Sasagawa, T., & Robeson, M. S. (2021) · PLoS ONE · doi:10.1371/journal.pone.0237556 · Cited by 12
Odogwu, N. M. (2023) · Frontiers in Reproductive Health · doi:10.3389/frph.2022.1082199 · Cited by 11
Jia, B., Tang, L., Liu, H., Chen, W., Chen, Q., Zhong, M., & Yin, A. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-023-04603-8 · Cited by 11
Microbiome-producing SCFAs are associated with preterm birth via trophoblast function modulation
Meng, L., Meng, M., Zhang, R., Wubulikasimu, A., Peng, H., Zhang, L., Chang, X., Ai, G., Zou, G., He, Q., et al. (2024) · mBio · doi:10.1128/mbio.02702-24 · Cited by 11
Shaping immunity: the influence of the maternal gut bacteria on fetal immune development
Faas, M. M., & Smink, A. M. (2025) · Seminars in Immunopathology · doi:10.1007/s00281-025-01039-8 · Cited by 12
Microbiome–Maternal Tract Interactions in Women with Recurrent Implantation Failure
Kumar, M., Yan, Y., Jiang, L., Sze, C.-H., Kodithuwakku, S. P., Yeung, W. S. B., & Lee, C. (2025) · Microorganisms · doi:10.3390/microorganisms13040844 · Cited by 12
Longitudinal change and causal relationship between gut microbiota and gestational diabetes mellitus
Wu, X., Liu, X., Tan, H., Song, J., Ma, S., & Tan, Y. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-025-01737-1 · Cited by 12
The bacterial faecal microbiota shifts during the transition period in dairy cows
Arnalot, L., Pascal, G., Cauquil, L., Vanbergue, É., Foucras, G., & Zened, A. (2025) · Animal Microbiome · doi:10.1186/s42523-025-00443-7 · Cited by 11
Bloom, S. M., Symul, L., Elsherbini, J., Xu, J., Hussain, S., Shih, J. B., Sango, A., Mitchell, C. M., Hemmerling, A., Parks, T., et al. (2026) · Cell Host & Microbe · doi:10.1016/j.chom.2026.03.003 · Cited by 11
Self-citationTopological analysis reveals state transitions in human gut and marine bacterial communities
Chang, W. K., VanInsberghe, D., & Kelly, L. (2020) · npj Biofilms and Microbiomes · doi:10.1038/s41522-020-00145-9 · Cited by 11
Gerson, K. D., Liao, J., McCarthy, C., Burris, H. H., Korem, T., Levy, M., Ravel, J., & Elovitz, M. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-02304-0 · Cited by 11
Wikström, T., Abrahamsson, S., Bengtsson‐Palme, J., Ek, C. J., Kuusela, P., Rekabdar, E., Lindgren, P., Wennerholm, U., Jacobsson, B., Valentin, L., et al. (2022) · Clinical and Translational Medicine · doi:10.1002/ctm2.1023 · Cited by 11
Differential Effect of Vaginal Microbiota on Spontaneous Preterm Birth among Chinese Pregnant Women
Kan, H., He, Y., Li, Q., Mu, Y., Dong, Y., Fan, W. Q., Zhang, M., Wang, T., Li, Y., Liu, H., et al. (2022) · BioMed Research International · doi:10.1155/2022/3536108 · Cited by 11
You, Y., Park, S., Kim, K., Kwon, E. J., Hur, Y. M., Kim, S. M., Lee, G., Ansari, A., Park, J., & Kim, Y. J. (2022) · Scientific Reports · doi:10.1038/s41598-022-26058-5 · Cited by 11
Rittenschober-Boehm, J., Fuiko, R., Farr, A., Willinger, B., Berger, A., & Goeral, K. (2023) · Neonatology · doi:10.1159/000534779 · Cited by 11
McKee, K. S., Bassis, C. M., Golob, J. L., Palazzolo, B., Sen, A., Comstock, S. S., Rosas‐Salazar, C., Stanford, J. B., O’Connor, T., Gern, J. E., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-62537-7 · Cited by 11
The transformative potential of an integrative approach to pregnancy
Eidem, H. R., McGary, K. L., Capra, J. A., Abbot, P., & Rokas, A. (2017) · Placenta · doi:10.1016/j.placenta.2017.07.010 · Cited by 12
Clinical Relevance of Gastrointestinal Microbiota During Pregnancy: A Primer for Nurses
Chung, S.-Y., Ravel, J., & Regan, M. B. (2017) · Biological Research For Nursing · doi:10.1177/1099800417732412 · Cited by 13
Microbiomes in ruminant protein production and food security.
Myer, P. R., Clemmons, B. A., Schneider, L. G., & Ault, T. B. (2019) · CABI Reviews · doi:10.1079/pavsnnr201914008 · Cited by 11
Stevenson, D. K., Aghaeepour, N., Marić, I., Angst, M. S., Darmstadt, G. L., Druzin, M. L., Gaudilliere, B. L., Ling, X. B., Moufarrej, M. N., Peterson, L. S., et al. (2021) · Seminars in Perinatology · doi:10.1016/j.semperi.2021.151408 · Cited by 11
Self-citationVaginal microbiome topic modeling of laboring Ugandan women with and without fever
Movassagh, M., Bebell, L. M., Burgoine, K. L., Hehnly, C., Zhang, L., Moran, K., Sheldon, K. E., Sinnar, S. A., Mbabazi-Kabachelor, E., Kumbakumba, E., et al. (2021) · npj Biofilms and Microbiomes · doi:10.1038/s41522-021-00244-1 · Cited by 11
Longitudinal study of the vaginal microbiome in pregnancies involving preterm labor.
Sakabe, Y., Nishizawa, H., Kato, A., Noda, Y., Ohwaki, A., Yoshizawa, H., Kato, T., Sekiya, T., Fujii, T., & Kurahashi, H. (2022) · PubMed Central · doi:10.20407/fmj.2021-017 · Cited by 11
Sarmento, S. G. P., Moron, A. F., Forney, L. J., Hatanaka, A. R., Carvalho, F. H. C., França, M. S., Hamamoto, T. K., Mattar, R., Linhares, I. M., Minis, E. E., et al. (2021) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2021.1879786 · Cited by 11
Muzny, C. A., Gerwen, O. T. V., Schroeder, J. A., Kay, E. S., Siwakoti, K., Aaron, K. J., Eastlund, I. C., Graves, K. J., Elnaggar, J. H., Tamhane, A. R., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-073068 · Cited by 10
The microbiota of pregnant women with SARS-CoV-2 and their infants
Leftwich, H. K., Vargas-Robles, D., Rojas-Correa, M., Yap, Y. R., Bhattarai, S. K., Ward, D. V., Fujimori, G., Forconi, C. S., Yeboah, T., Carter, A., et al. (2023) · Microbiome · doi:10.1186/s40168-023-01577-z · Cited by 10
Intestinal microbiota protects against methylmercury-induced neurotoxicity
Ke, T., Rajoo, A., Tinkov, A. A., Skalny, A. V., Tizabi, Y., da Rocha, J. B. T., Bowman, A. B., & Aschner, M. (2023) · BioMetals · doi:10.1007/s10534-023-00554-1 · Cited by 10
Webb, S. E., Orkin, J. D., Williamson, R. E., & Melin, A. D. (2023) · Animal Microbiome · doi:10.1186/s42523-023-00280-6 · Cited by 10
Shaping Microbiota During the First 1000 Days of Life
Samarra, A., Ventura, E. F., Bernabeu, M., Cabrera‐Rubio, R., Bäuerl, C., Selma‐Royo, M., & Collado, M. C. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-58572-2_1 · Cited by 10
Buchta, V., Nekvindová, J., Leško, D., Vrbacký, F., Veščičík, P., Uhlířová, Z., Andrýs, C., Bolehovská, R., Kacerovský, M., Špaček, J., et al. (2025) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2025.1636873 · Cited by 10
Agoni, L., Roselletti, E., Marasco, G., Martinelli, C. V., Pericolini, E., & Seta, F. D. (2026) · Microorganisms · doi:10.3390/microorganisms14061327 · Cited by 12
Alterations in the Urinary Microbiota Are Associated With Cesarean Delivery
Liu, F., Lv, L., Jiang, H., Ren, Y., Dong, S., Chen, L., Wang, W., & Chen, Y. Q. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02193 · Cited by 10
Group B Streptococcus and the vaginal microbiome among pregnant women: a systematic review
Lim, S., Rajagopal, S., Jeong, Y. R., Nzegwu, D., & Wright, M. L. (2021) · PeerJ · doi:10.7717/peerj.11437 · Cited by 10
Juliana, N. C. A., Deb, S., Juma, M. H., Poort, L., Budding, A. E., Mbarouk, A., Ali, S. M., Ouburg, S., Morré, S. A., Sazawal, S., et al. (2022) · Microorganisms · doi:10.3390/microorganisms10030509 · Cited by 10
Talbert, J. A., Lu, J., Spicer, S. K., Moore, R. E., Townsend, S. D., & Gaddy, J. A. (2022) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2022.117037 · Cited by 10
Josephs, N., Lin, L., Rosenberg, S., & Kolaczyk, E. D. (2023) · The Annals of Applied Statistics · doi:10.1214/22-aoas1623 · Cited by 10
Lacey, L., Daulton, E., Wicaksono, A. N., Covington, J. A., & Quenby, S. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-69142-4 · Cited by 10
Cancer Microbiome; Opportunities and Challenges
Nallanchakravarthula, S., Amruta, N., & Ramamurthy, C. (2020) · Endocrine Metabolic & Immune Disorders - Drug Targets · doi:10.2174/1871530320999200818134942 · Cited by 10
Wildschut, H. I. J., Duvekot, J. J., Cook, J. R., Bacchus, L. J., Bewley, S., Creighton, S., Dear, J., Williams, D., Kilby, M. D., Crouch, N. S., et al. (2017) · Cambridge University Press eBooks · doi:10.1017/9781108349185 · Cited by 11
Enabling precision medicine in neonatology, an integrated repository for preterm birth research
Sirota, M., Thomas, C. G., Liu, R., Zuhl, M., Banerjee, P., Wong, R. J., Quaintance, C. C., Leite, R., Chubiz, J. E. C., Anderson, R. L., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.219 · Cited by 10
Self-citationCan oral microbiome predict low birth weight infant delivery?
Liu, P., Wen, W., Yu, K. F., Tong, W. M., Gao, X., Lo, E. C. M., & Wong, M. C. M. (2024) · Journal of Dentistry · doi:10.1016/j.jdent.2024.105018 · Cited by 9
Schuster, H. J., Breedveld, A. C., Matamoros, S., van EEKELEN, R., Painter, R. C., Kok, M., Hajenius, P. J., Savelkoul, P. H. M., van Egmond, M., & van Houdt, R. (2024) · Microbiome · doi:10.1186/s40168-024-01787-z · Cited by 12
Metabarcoding analysis of oral microbiome during pregnancy
Benslimane, F. M., Mohammed, L., Abuhijleh, H., Suleiman, S. E. K., Boughattas, S., Zakaria, Z. Z., Fthenou, E., & Al‐Asmakh, M. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1477703 · Cited by 10
Chetty, C., Mafunda, N. A., Happel, A., Khan, A., Demidkina, B. C., Yende‐Zuma, N., Saidi, Y., Polliah, A. M., Lewis, L., Osman, F., et al. (2025) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2025.101554 · Cited by 9
Self-citationAdaptations and alterations of maternal microbiota: From physiology to pathology
Zhou, Y., Qi, H., & Yin, N. (2021) · Medicine in Microecology · doi:10.1016/j.medmic.2021.100045 · Cited by 11
Skin microbiota diversity among genetically unrelated individuals of Indian origin
Potbhare, R., RaviKumar, A., Munukka, E., Lahti, L., & Ashma, R. (2022) · PeerJ · doi:10.7717/peerj.13075 · Cited by 9
Alterations in vaginal microbiota among pregnant women with COVID‐19
Çelik, E., Özcan, G., Vatansever, C., Paerhati, E., Kuşkucu, M. A., Doğan, Ö., Cekic, S. G., Ergönül, Ö., Gürsoy, A., Keskin, Ö., et al. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28132 · Cited by 9
Zhou, Z., Hou, Y., Qing, W., Shi, Y., Zhang, Y., Chen, R., Ou, J., Zhou, H., & Chen, M. (2022) · Medicine in Microecology · doi:10.1016/j.medmic.2022.100072 · Cited by 9
Liu, X., Si, S., Huang, L., Zhang, M., Chen, W., Wang, L., & Yu, Y. (2023) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-023-05564-y · Cited by 9
Premature rupture of membranes and changes in the vaginal microbiome – Probiotics
Gorczyca, K., Kozioł, M. M., Kimber-Trojnar, Ż., Kępa, J., Satora, M., Rekowska, A. K., & Leszczyńska‐Gorzelak, B. (2024) · Reproductive Biology · doi:10.1016/j.repbio.2024.100899 · Cited by 9
The right educational environment: Oral tolerance in early life
Cheifetz, T. R., & Knoop, K. A. (2024) · Immunological Reviews · doi:10.1111/imr.13366 · Cited by 9
Sánchez-Gallardo, R., O’Connor, P. M., O’Neill, I. J., McDonnell, B., Lee, C. M., Moore, R., McAuliffe, F. M., Cotter, P. D., & van Sinderen, D. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2387139 · Cited by 9
Wang, T., Li, W., Cai, M., Ji, S., Wang, Y., Huang, N., Jiang, Y., & Zhang, Z. (2024) · mSystems · doi:10.1128/msystems.00738-24 · Cited by 9
Shah, S. A. U. R., Tang, B., He, D., Hao, Y., Nabi, G., Wang, C., Kou, Z., & Wang, K. (2024) · Biology of Reproduction · doi:10.1093/biolre/ioae123 · Cited by 9
Capraro, G. A., Lala, S., Khaled, K., Gosciniak, E., Saadat, B. N., Alvarez, S. M., Kumar, S., Calhoun, T. N., Landry, E., Caldito, G. C., et al. (2020) · Antimicrobial Resistance and Infection Control · doi:10.1186/s13756-020-00827-1 · Cited by 9
Ruan, X.-F., Zhang, Y., Chen, S., Liu, X., Zhu, F.-F., Huang, Y., Liu, X., Luo, S., Deng, G., & Gao, J. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.659505 · Cited by 9
González, A., Lagos, J. J. R., Peña‐Castillo, M. Á., Nirmalkar, K., Garcı́a-Mena, J., & Pacheco‐López, G. (2022) · Current Microbiology · doi:10.1007/s00284-022-02918-1 · Cited by 9
Li, L., Sohn, J., Genco, R. J., Wactawski‐Wende, J., Goodison, S., Diaz, P. I., & Sun, Y. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010373 · Cited by 9
Hotkani, Z. G., Ghaedmohammadi, S., & Mozdoori, N. (2022) · Future Microbiology · doi:10.2217/fmb-2021-0209 · Cited by 9
Preterm Birth as a Calendar Event or Immunologic Anomaly
Wallenstein, M. B., Shaw, G. M., & Stevenson, D. K. (2016) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2016.0213 · Cited by 9
Self-citationStatistical proof? The problem of irreproducibility
Holmes, S. (2017) · Bulletin of the American Mathematical Society · doi:10.1090/bull/1597 · Cited by 9
Self-citationBorgogna, J.-L. C., & Yeoman, C. J. (2017) · Methods in microbiology · doi:10.1016/bs.mim.2017.08.003 · Cited by 9
Dudek, N. K., Switzer, A. D., Costello, E. K., Murray, M. J., Tomoleoni, J. A., Staedler, M. M., Tinker, M. T., & Relman, D. A. (2022) · Conservation Science and Practice · doi:10.1111/csp2.12640 · Cited by 9
Self-citationIntersections of the microbiome and early neurodevelopment
Vuong, H. E. (2022) · International review of neurobiology · doi:10.1016/bs.irn.2022.06.004 · Cited by 9
Reply to Keelan and Payne: Microbiota-related pathways for preterm birth
DiGiulio, D. B., Stevenson, D. K., Shaw, G. M., Lyell, D. J., & Relman, D. A. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517939112 · Cited by 9
Self-citationRahman, S. F., Olm, M. R., Morowitz, M. J., & Banfield, J. F. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/185348 · Cited by 9
Cruz, M. C., Azinheiro, S., & Pereira, S. G. (2023) · Gut Microbiome · doi:10.1017/gmb.2023.6 · Cited by 8
Metadata
- Authors
- 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., Stevenson, D. K., Holmes, S. P., & Relman, D. A.
- Affiliations
- March of Dimes (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-08-17
- Volume
- 112
- Issue
- 35
- Pages
- 11060-11065
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4568272
- OpenAlex
- W1930591173
- Cited by
- 1,129
- References
- 35
- Citations by year
- 2026: 53 · 2025: 90 · 2024: 111 · 2023: 126 · 2022: 133 · 2021: 161 · 2020: 123 · 2019: 118 · 2018: 83 · 2017: 76 · 2016: 48 · 2015: 6
- FWCI
- 59.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- March of Dimes Foundation (Prematurity Research Center of Stanford University)
- HHS | NIH | National Center for Advancing Translational Sciences (UL1 TR001085)
- HHS | NIH | National Institute of General Medical Sciences (R01 GM086884)
- NSF | MPS | Division of Mathematical Sciences (1162538)
- 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
- human microbiota, pregnancy, vaginal microbiota, preterm birth, Lactobacillus, Gardnerella, Ureaplasma, gut microbiota, saliva microbiota, community state types, microbial community dynamics, anaerobic bacteria, interpregnancy interval
- MeSH terms
- Female, Humans, Intestines, Periodontium, Pregnancy, Saliva, Vagina, 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 ›
Are you an author, or do you see a problem with this page? Request a review