The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Meconium Microbiome Analysis Identifies Bacteria Correlated with Premature Birth
Open accessAbstract
BACKGROUND: Preterm birth is the second leading cause of death in children under the age of five years worldwide, but the etiology of many cases remains enigmatic. The dogma that the fetus resides in a sterile environment is being challenged by recent findings and the question has arisen whether microbes that colonize the fetus may be related to preterm birth. It has been posited that meconium reflects the in-utero microbial environment. In this study, correlations between fetal intestinal bacteria from meconium and gestational age were examined in order to suggest underlying mechanisms that may contribute to preterm birth. METHODS: Meconium from 52 infants ranging in gestational age from 23 to 41 weeks was collected, the DNA extracted, and 16S rRNA analysis performed. Resulting taxa of microbes were correlated to clinical variables and also compared to previous studies of amniotic fluid and other human microbiome niches. FINDINGS: Increased detection of bacterial 16S rRNA in meconium of infants of <33 weeks gestational age was observed. Approximately 61·1% of reads sequenced were classified to genera that have been reported in amniotic fluid. Gestational age had the largest influence on microbial community structure (R = 0·161; p = 0·029), while mode of delivery (C-section versus vaginal delivery) had an effect as well (R = 0·100; p = 0·044). Enterobacter, Enterococcus, Lactobacillus, Photorhabdus, and Tannerella, were negatively correlated with gestational age and have been reported to incite inflammatory responses, suggesting a causative role in premature birth. INTERPRETATION: This provides the first evidence to support the hypothesis that the fetal intestinal microbiome derived from swallowed amniotic fluid may be involved in the inflammatory response that leads to premature birth.
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Cites
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 21,322
Epidemiology and causes of preterm birth
Goldenberg, R. L., Culhane, J. F., Iams, J. D., & Romero, R. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60074-4 · Cited by 7,801 · cited 1×
“Various mechanisms of amniotic colonization have been described including the ascension and translocation of vaginal microbiota [8,9], as well as via the bloodstream from non-reproductive tissues such as the oral gingiva [10].”
BackgroundDominguez-Bello, M. G., Costello, E. K., Contreras, M., Magris, M., Hidalgo, G., Fierer, N., & Knight, R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002601107 · Cited by 4,774
Is meconium from healthy newborns actually sterile?
Jiménez, E., Marín, M. L., Martín, R., Odriozola, J. M., Olivares, M., Xaus, J., Fernández, L., & Rodríguez, J. M. (2008) · Research in Microbiology · doi:10.1016/j.resmic.2007.12.007 · Cited by 942
The Role of Inflammation and Infection in Preterm Birth
Romero, R., Espinoza, J., Gonçalves, L., Kusanovic, J., Friel, L., & Hassan, S. (2007) · Seminars in Reproductive Medicine · doi:10.1055/s-2006-956773 · Cited by 897
Cabrera-Rubio, R., Collado, M. C., Laitinen, K., Salminen, S., Isolauri, E., & Mira, A. (2012) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.037382 · Cited by 886
Mom Knows Best: The Universality of Maternal Microbial Transmission
Funkhouser, L. J., & Bordenstein, S. R. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001631 · Cited by 806
DiGiulio, D. B., Romero, R., Amogan, H. P., Kusanovic, J. P., Bik, E. M., Gotsch, F., Kim, C. J., Erez, O., Edwin, S., & Relman, D. A. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003056 · Cited by 798
The Enigma of Spontaneous Preterm Birth
Muglia, L. J., & Katz, M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0904308 · Cited by 682
Antibiotics for treating bacterial vaginosis in pregnancy
Brocklehurst, P., Gordon, A., Heatley, E., & Milan, S. J. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000262.pub4 · Cited by 616
Cited by
Proteobacteria: Microbial signature of dysbiosis in gut microbiota
Shin, N.-R., Whon, T. W., & Bae, J.-W. (2015) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.06.011 · Cited by 3,954
Milani, C., Duranti, S., Bottacini, F., Casey, E., Turroni, F., Mahony, J., Belzer, C., Delgado Palacio, S., Arboleya Montes, S., Mancabelli, L., et al. (2017) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00036-17 · Cited by 1,950
Perez-Muñoz, M. E., Arrieta, M.-C., Ramer-Tait, A. E., & Walter, J. (2017) · Microbiome · doi:10.1186/s40168-017-0268-4 · Cited by 1,096
Chu, D. M., Ma, J., Prince, A. L., Antony, K. M., Seferovic, M. D., & Aagaard, K. M. (2017) · Nature Medicine · doi:10.1038/nm.4272 · Cited by 1,063
The Intestinal Microbiome in Early Life: Health and Disease
Arrieta, M.-C., Stiemsma, L. T., Amenyogbe, N., Brown, E. M., & Finlay, B. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00427 · Cited by 1,024
Metadata
- Authors
- Ardissone, A. N., de la Cruz, D. M., Davis-Richardson, A. G., Rechcigl, K. T., Li, N., Drew, J. C., Murgas-Torrazza, R., Sharma, R., Hudak, M. L., Triplett, E. W., & Neu, J.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-03-10
- Volume
- 9
- Issue
- 3
- Pages
- e90784
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2094099911
- Cited by
- 461
- References
- 28
- FWCI
- 14.36
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ardissone, A. N., de la Cruz, D. M., Davis-Richardson, A. G., Rechcigl, K. T., Li, N., Drew, J. C., Murgas-Torrazza, R., Sharma, R., Hudak, M. L., Triplett, E. W., & Neu, J. (2014). Meconium Microbiome Analysis Identifies Bacteria Correlated with Premature Birth. PLoS ONE. https://doi.org/10.1371/journal.pone.0090784
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