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Microbial Changes during Pregnancy, Birth, and Infancy
Open accessAbstract
Several healthy developmental processes such as pregnancy, fetal development, and infant development include a multitude of physiological changes: weight gain, hormonal, and metabolic changes, as well as immune changes. In this review, we present an additional important factor which both influences and is affected by these physiological processes-the microbiome. We summarize the known changes in microbiota composition at a variety of body sites including gut, vagina, oral cavity, and placenta, throughout pregnancy, fetal development, and early childhood. There is still a lot to be discovered; yet several pieces of research point to the healthy desired microbial changes. Future research is likely to unravel precise roles and mechanisms of the microbiota in gestation; perhaps linking the metabolic, hormonal, and immune changes together. Although some research has started to link microbial dysbiosis and specific microbial populations with unhealthy pregnancy complications, it is important to first understand the context of the natural healthy microbial changes occurring. Until recently the placenta and developing fetus were considered to be germ free, containing no apparent microbiome. We present multiple study results showing distinct microbiota compositions in the placenta and meconium, alluding to early microbial colonization. These results may change dogmas and our overall understanding of the importance and roles of microbiota from the beginning of life. We further review the main factors shaping the infant microbiome-modes of delivery, feeding, weaning, and exposure to antibiotics. Taken together, we are starting to build a broader understanding of healthy vs. abnormal microbial alterations throughout major developmental time-points.
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Cited by
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
The central nervous system and the gut microbiome
Sharon, G., Sampson, T. R., Geschwind, D. H., & Mazmanian, S. K. (2016) · Cell · doi:10.1016/j.cell.2016.10.027 · Cited by 1,513
A Comprehensive Review on the Role of the Gut Microbiome in Human Neurological Disorders
Sorboni, S. G., Moghaddam, H. S., Jafarzadeh-Esfehani, R., & Soleimanpour, S. (2022) · Clinical Microbiology Reviews · doi:10.1128/cmr.00338-20 · Cited by 522
Lopresti, A. L. (2018) · Advances in Nutrition · doi:10.1093/advances/nmx011 · Cited by 371
Rebuilding the Gut Microbiota Ecosystem
Gagliardi, A., Totino, V., Cacciotti, F., Iebba, V., Neroni, B., Bonfiglio, G., Trancassini, M., Passariello, C., Pantanella, F., & Schippa, S. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15081679 · Cited by 340
Metadata
- Authors
- Nuriel-Ohayon, M., Neuman, H., & Koren, O.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2016-07-14
- Volume
- 7
- Pages
- 1031-1031
- ISSN
- 1664-302X (ISSN-L)
- OpenAlex
- W2474696439
- Cited by
- 620
- References
- 102
- FWCI
- 21.07
- Type
- journal article
- Language
- en
- Open access
- gold
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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.