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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.
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“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]
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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
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Items 301–400 of 1,000
Golob, J. L., Oskotsky, T., Tang, A., Roldan, A., Chung, V., Ha, C. W. Y., Wong, R. J., Flynn, K. J., Chai, R., Dubin, C., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101350 · Cited by 53
Self-citationA digital twin of the infant microbiome to predict neurodevelopmental deficits
Sizemore, N., Oliphant, K., Zheng, R., Martin, C. R., Claud, E. C., & Chattopadhyay, I. (2024) · Science Advances · doi:10.1126/sciadv.adj0400 · Cited by 51
Sharma, A., Richardson, M., Cralle, L. E., Stamper, C. E., Maestre, J. P., Stearns‐Yoder, K. A., Postolache, T. T., Bates, K. L., Kinney, K. A., Brenner, L. A., et al. (2019) · Microbiome · doi:10.1186/s40168-019-0686-6 · Cited by 49
Role of the microbiome in oral cancer occurrence, progression and therapy
Li, Z., Liu, Y., & Zhang, L. (2022) · Microbial Pathogenesis · doi:10.1016/j.micpath.2022.105638 · Cited by 51
The Vaginal Microbiota of Pregnant Women Varies with Gestational Age, Maternal Age, and Parity
Romero, R. J., Theis, K. R., Gomez‐Lopez, N., Winters, A. D., Panzer, J. J., Huang, L., Galaz, J., Greenberg, J. M., Shaffer, Z., Kracht, D. J., et al. (2023) · Microbiology Spectrum · doi:10.1128/spectrum.03429-22 · Cited by 48
Huang, C. D., Gin, C., Fettweis, J. M., Foxman, B., Gelaye, B., MacIntyre, D. A., Subramaniam, A., Fraser, W. D., Tabatabaei, N., & Callahan, B. J. (2023) · BMC Biology · doi:10.1186/s12915-023-01702-2 · Cited by 49
Self-citationDaele, E. V., Knol, J., & Belzer, C. (2019) · Critical Reviews in Microbiology · doi:10.1080/1040841x.2019.1680601 · Cited by 49
Pace, R. M., Chu, D. M., Prince, A., Ma, J., Seferovic, M. D., & Aagaard, K. M. (2021) · Med · doi:10.1016/j.medj.2021.06.001 · Cited by 48
Vaginal Microbiota Profiles of Native Korean Women and Associations with High-Risk Pregnancy
Chang, D., Shin, J., Rhee, M.-S., Park, K.-R., Cho, B., Lee, S. K., & Kim, B. (2020) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.1908.08016 · Cited by 47
Microbiota assembly, structure, and dynamics among Tsimane horticulturalists of the Bolivian Amazon
Sprockett, D. D., Martin, M. A., Costello, E. K., Burns, A. R., Holmes, S., Gurven, M., & Relman, D. A. (2020) · Nature Communications · doi:10.1038/s41467-020-17541-6 · Cited by 46
Self-citationAssociations between Maternal Diet, Body Composition and Gut Microbial Ecology in Pregnancy
Ruebel, M. L., Gilley, S. P., Sims, C. R., Zhong, Y., Turner, D., Chintapalli, S. V., Piccolo, B. D., Andres, A., & Shankar, K. (2021) · Nutrients · doi:10.3390/nu13093295 · Cited by 46
Maternal microbiome in preeclampsia pathophysiology and implications on offspring health
Ishimwe, J. A. (2021) · Physiological Reports · doi:10.14814/phy2.14875 · Cited by 45
Holyoak, G. R., Premathilake, H., Lyman, C., Sones, J. L., Gunn, A. J., Wieneke, X., & DeSilva, U. (2022) · Scientific Reports · doi:10.1038/s41598-022-18971-6 · Cited by 45
Chehoud, C., Stieh, D. J., Bailey, A., Laughlin, A. L., Allen, S. A., McCotter, K. L., Sherrill-Mix, S. A., Hope, T. J., & Bushman, F. D. (2017) · AIDS · doi:10.1097/qad.0000000000001421 · Cited by 45
Relationships Between Perinatal Interventions, Maternal-Infant Microbiomes, and Neonatal Outcomes
Valentine, G. C., Chu, D. M., Stewart, C. J., & Aagaard, K. M. (2018) · Clinics in Perinatology · doi:10.1016/j.clp.2018.01.008 · Cited by 45
Zheng, N., Guo, R., Yao, Y., Jin, M., Cheng, Y., & Ling, Z. (2019) · BioMed Research International · doi:10.1155/2019/6079734 · Cited by 45
Verstraelen, H., Vieira‐Baptista, P., Seta, F. D., Ventolini, G., Lonnee-Hoffmann, R., & Lev‐Sagie, A. (2021) · Journal of Lower Genital Tract Disease · doi:10.1097/lgt.0000000000000643 · Cited by 46
The Role of Fatty Acid Metabolites in Vaginal Health and Disease: Application to Candidiasis
Baldewijns, S., Sillen, M., Palmans, I., Vandecruys, P., Van Dijck, P., & Demuyser, L. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.705779 · Cited by 44
Puri, K., Taft, D. H., Ambalavanan, N., Schibler, K. R., Morrow, A. L., & Kallapur, S. G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0162734 · Cited by 44
Current understanding and treatment of intra‐amniotic infection with Ureaplasma spp.
Tantengco, O. A. G., & Yanagihara, I. (2019) · Journal of obstetrics and gynaecology research · doi:10.1111/jog.14052 · Cited by 44
Su, Y., Wang, H., Gan, X.-P., Chen, L., Cao, Y., Cheng, D., Zhang, D., Liu, W.-Y., Li, F., & Xu, X. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-03040-9 · Cited by 44
Ventolini, G., Vieira‐Baptista, P., Seta, F. D., Verstraelen, H., Hoffmann, R., & Lev‐Sagie, A. (2021) · Journal of Lower Genital Tract Disease · doi:10.1097/lgt.0000000000000646 · Cited by 42
The Hoops, Hopes, and Hypes of Human Microbiome Research.
Bik, E. M. (2016) · PubMed Central · Cited by 43
Vaginal microbiome diversity and preterm birth: results of a nested case–control study in Peru
Blostein, F., Gelaye, B., Sánchez, S. E., Williams, M. A., & Foxman, B. (2019) · Annals of Epidemiology · doi:10.1016/j.annepidem.2019.11.004 · Cited by 43
Wang, S., Liu, Y., Tam, W. H., Ching, J. Y. L., Xu, W., Yan, S., Qin, B., Lin, L., Peng, Y., Zhu, J., et al. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.06.005 · Cited by 43
Gestational Insulin Resistance Is Mediated by the Gut Microbiome–Indoleamine 2,3-Dioxygenase Axis
Priyadarshini, M., Navarro, G., Reiman, D. J., Sharma, A., Xu, K., Lednovich, K., Manzella, C. R., Khan, M. W., Garcia, M. S., Allard, S. M., et al. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.01.008 · Cited by 43
Abrupt perturbation and delayed recovery of the vaginal ecosystem following childbirth
Costello, E. K., DiGiulio, D. B., Robaczewska, A., Symul, L., Wong, R. J., Shaw, G. M., Stevenson, D. K., Holmes, S., Kwon, D. S., & Relman, D. A. (2023) · Nature Communications · doi:10.1038/s41467-023-39849-9 · Cited by 41
Self-citationHow human microbiome talks to health and disease
Cong, J., & Zhang, X. (2018) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-018-3263-1 · Cited by 43
Paley, E. L. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190873 · Cited by 41
Wei, J., Qing, Y., Zhou, H., Liu, J., Qi, C., & Gao, J. (2021) · Journal of Endocrinological Investigation · doi:10.1007/s40618-021-01595-4 · Cited by 42
Kervinen, K., Holster, T., Saqib, S., Virtanen, S., Stefanović, V., Rahkonen, L., Nieminen, P., Salonen, A., & Kalliala, I. E. J. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.104107 · Cited by 41
Xiao, L., Zuo, Z., & Zhao, F. (2023) · Genomics Proteomics & Bioinformatics · doi:10.1093/gpbjnl/qzad005 · Cited by 44
Szczuko, M., Kikut, J., Maciejewska, D., Kulpa, D., Celewicz, Z., & Ziętek, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21239212 · Cited by 41
Roth‐Schulze, A. J., Penno, M. A. S., Ngui, K., Oakey, H., Bandala‐Sanchez, E., Smith, A. D., Allnutt, T. R., Thomson, R. L., Vuillermin, P., Craig, M. E., et al. (2021) · Microbiome · doi:10.1186/s40168-021-01104-y · Cited by 41
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Kumar, S., Kumari, N., Talukdar, D., Kothidar, A., Sarkar, M., Mehta, O., Kshetrapal, P., Wadhwa, N., Thiruvengadam, R., Desiraju, B. K., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.622474 · Cited by 40
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Marangoni, A., Laghi, L., Zagonari, S., Patuelli, G., Zhu, C., Foschi, C., Morselli, S., Pedna, M. F., & Sambri, V. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.656844 · Cited by 40
Abdullah, B., Daud, S., Aazmi, M. S., Idorus, M. Y., & Mahamooth, M. I. J. (2022) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-022-04472-x · Cited by 40
Understanding and interpreting community sequencing measurements of the vaginal microbiome
Berman, H. L., McLaren, M. R., & Callahan, B. J. (2019) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.15978 · Cited by 40
Self-citationKong, F., Wang, S., Zhang, Y., Li, C., Dai, D., Guo, C., Wang, Y., Cao, Z., Yang, H., Bi, Y., et al. (2025) · Microbiome · doi:10.1186/s40168-025-02072-3 · Cited by 39
The Role of Neutrophils in Pregnancy, Term and Preterm Labour
Gimeno-Molina, B., Müller, I., Kropf, P., & Sykes, L. (2022) · Life · doi:10.3390/life12101512 · Cited by 39
Maternal and infant factors that shape neonatal gut colonization by bacteria
O’Neill, I. J., Sánchez-Gallardo, R., Saldova, R., Murphy, E. F., Cotter, P. D., McAuliffe, F. M., & van Sinderen, D. (2020) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2020.1784725 · Cited by 38
Roles of vaginal flora in human papillomavirus infection, virus persistence and clearance
Mi, Z., Li, X., Jiao, X., Cai, X., Yao, F., Xu, S., Huang, X., Zhang, Q., & Chen, J. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.1036869 · Cited by 38
Maternal microbiota and gestational diabetes: impact on infant health
Singh, P., Elhag, D. A., Ibrahim, I., Abdullahi, H., & Khodor, S. A. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04230-3 · Cited by 41
Hemmerling, A., Mitchell, C. M., Demby, S. M., Ghebremichael, M. S., Elsherbini, J., Xu, J., Xulu, N., Shih, J. B., Dong, K. L., Govender, V., et al. (2025) · The Lancet Microbe · doi:10.1016/j.lanmic.2024.101037 · Cited by 38
Claassen-Weitz, S., Gardner‐Lubbe, S., Nicol, P., Botha, G., Mounaud, S. H., Shankar, J., Nierman, W. C., Mulder, N., Budree, S., Zar, H. J., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-22244-6 · Cited by 43
Li, R., Chen, X., Liu, Z., Chen, Y., Liu, C., Ye, L., Xiao, L., Yang, Z., He, J., Wang, W., et al. (2020) · BMC Gastroenterology · doi:10.1186/s12876-020-01510-w · Cited by 38
Kornfield, S. L., Riis, V. M., McCarthy, C., Elovitz, M. A., & Burris, H. H. (2021) · Journal of Perinatology · doi:10.1038/s41372-021-01186-4 · Cited by 38
Variation of the Vaginal Microbiome During and After Pregnancy in Chinese Women
Zhang, X., Zhai, Q., Wang, J., Ma, X., Xing, B., Fan, H., Gao, Z., Zhao, F., & Liu, W. Y. (2022) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.08.013 · Cited by 38
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Xu, Y., Zhang, M., Zhang, Y., Wei, H., Guan, Q., Dong, C., Deng, S., Tun, H. M., & Xia, Y. (2023) · npj Biofilms and Microbiomes · doi:10.1038/s41522-023-00383-7 · Cited by 37
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Saadaoui, M., Singh, P., Ortashi, O., & Khodor, S. A. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1232825 · Cited by 37
Wei, X. L., Tsai, M.-S., Liang, L., Jiang, L., Hung, C.-J., Jelliffe‐Pawlowski, L. L., Rand, L., Snyder, M. P., & Jiang, C. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114078 · Cited by 37
The microbial revolution: Unveiling the benefits of vaginal probiotics and prebiotics
Pagar, R. R., Deshkar, S. S., Mahore, J., Patole, V., Deshpande, H., Gandham, N. R., MIRZA, S. B., Junnarkar, M. V., & Nawani, N. N. (2024) · Microbiological Research · doi:10.1016/j.micres.2024.127787 · Cited by 39
Perinatal depression: Heterogeneity of disease and in animal models
Qiu, W., Hodges, T. E., Clark, E. L., Blankers, S. A., & Galea, L. A. M. (2020) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2020.100854 · Cited by 39
Next-Generation Sequencing as a Tool to Detect Vaginal Microbiota Disturbances during Pregnancy
Sroka-Oleksiak, A., Gosiewski, T., Pabian, W., Gurgul, A., Kapusta, P., Ludwig‐Słomczyńska, A. H., Wołkow, P. P., & Brzychczy‐Włoch, M. (2020) · Microorganisms · doi:10.3390/microorganisms8111813 · Cited by 37
Social groups constrain the spatiotemporal dynamics of wild sifaka gut microbiomes
Perofsky, A. C., Ancel, L. W., Abondano, L. A., Fiore, A. D., & Lewis, R. J. (2021) · Molecular Ecology · doi:10.1111/mec.16193 · Cited by 37
Senthamaraikannan, P., Presicce, P., Rueda, C. M., Maneenil, G., Schmidt, A. F. S., Miller, L. A., Waites, K. B., Jobe, A. H., Kallapur, S. G., & Chougnet, C. A. (2016) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiw408 · Cited by 36
Reproductive Microbiomes in Wild Animal Species: A New Dimension in Conservation Biology
Comizzoli, P., & Power, M. L. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-23633-5_8 · Cited by 37
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Kumar, M., Singh, P., Murugesan, S., Vétizou, M., McCulloch, J. A., Badger, J. H., Trinchieri, G., & Khodor, S. A. (2019) · Methods in molecular biology · doi:10.1007/978-1-4939-9773-2_27 · Cited by 36
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Stevenson, D. K., Wong, R. J., Aghaeepour, N., Marić, I., Angst, M. S., Contrepois, K., Darmstadt, G. L., Druzin, M. L., Eisenberg, M. L., Gaudilliere, B. L., et al. (2020) · Pediatric Research · doi:10.1038/s41390-020-0981-8 · Cited by 37
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Ansari, A., Bose, S., You, Y., Park, S., & Kim, Y. J. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158145 · Cited by 37
Moreno, C. G., Luque, A. T., Galvão, K. N., & Otero, M. C. (2021) · Research in Veterinary Science · doi:10.1016/j.rvsc.2021.11.007 · Cited by 36
Rittenschober-Böhm, J., Waldhoer, T., Schulz, S. M., Stihsen, B., Pimpel, B., Goeral, K., Hafner, E., Sliutz, G., Kasper, D. C., Witt, A., et al. (2017) · Neonatology · doi:10.1159/000480065 · Cited by 36
The Female Reproductive Tract Microbiota: Friends and Foe
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The role of the bacterial microbiota on reproductive and pregnancy health
Nelson, D. B., Rockwell, L. C., Prioleau, M. D., & Goetzl, L. M. (2016) · Anaerobe · doi:10.1016/j.anaerobe.2016.09.001 · Cited by 35
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Bernabé, B. P., Cralle, L. E., & Gilbert, J. A. (2018) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2018.01.018 · Cited by 36
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CALLAHAN, B., PROCTOR, D., RELMAN, D., FUKUYAMA, J., & HOLMES, S. (2016) · Biocomputing 2016 · doi:10.1142/9789814749411_0018 · Cited by 35
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ERÇELİK, H. C., & Kaya, V. (2023) · Journal of Pediatric Nursing · doi:10.1016/j.pedn.2023.12.019 · Cited by 36
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Gao, H., Liu, Q., Wang, X., Li, T., Li, H., Li, G., Tan, L., & Chen, Y. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2024.1351540 · Cited by 34
Charting the Maternal and Infant Microbiome: What Is the Role of Diabetes and Obesity in Pregnancy?
Singh, S., Karagas, M. R., & Mueller, N. T. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0836-9 · Cited by 36
Diversity of vaginal microbiota increases by the time of labor onset
Avershina, E., Slangsvold, S., Simpson, M. R., Storrø, O., Johnsen, R., Øien, T., & Rudi, K. (2017) · Scientific Reports · doi:10.1038/s41598-017-17972-0 · Cited by 34
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Li, W., & Ma, Z. S. (2019) · 动物学研究 · doi:10.24272/j.issn.2095-8137.2019.068 · Cited by 34
Vaginal microbiome analysis of healthy women during different periods of gestation
Li, D., Chi, X.-Z., Zhang, L., Chen, R., Cao, J., Sun, X., Yang, H.-Q., & Liao, Q. (2020) · Bioscience Reports · doi:10.1042/bsr20201766 · Cited by 34
Zhao, F., Chen, Y., Gao, J., Wu, M., Cui, L., Wang, Z., Huang, N., Cui, L., Du, M., & Ying, C. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.680643 · Cited by 34
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Intestinal flora and pregnancy complications: Current insights and future prospects
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Self-citationMicrobiota and Recurrent Pregnancy Loss (RPL); More than a Simple Connection
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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
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