Cited by 246Gut microbiota and healthInfant Nutrition and HealthOral microbiology and periodontitis research

Maternal vertical transmission affecting early-life microbiota development

Wang, Shaopu, Ryan, C. Anthony, Boyaval, Patrick, Dempsey, Eugene M., Ross, R. Paul, Stanton, Catherine·2020·Trends in Microbiology

Abstract

The association of the human microbiome with health outcomes has attracted much interest toward its therapeutic manipulation. The likelihood of modulating the human microbiome in early life is high and offers great potential to exert profound effects on human development since the early microbiota shows more flexibility compared to that of adults. The human microbiota, being similar to human genetics, can be transmitted from mother to infant, providing insights into early microbiota acquisition, subsequent development, and potential opportunities for intervention. Here, we review adaptations of the maternal microbiota during pregnancy, birth, and infancy, the acquisition and succession of early-life microbiota, and highlight recent efforts to elucidate mother-to-infant microbiota transmission. We further discuss how the mother-to-infant microbial transmission is shaped; and finally we address potential directions for future studies to promote our understanding within this field.

Integrity signals

Registry

Crossref · 10.1016/j.tim.2019.07.010

Cites

121 of 121 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Several factors are known to influence microbial composition at different stages of life, including genetic factors, mode of delivery, gestational age, exercise, medication use, living environment, and diet.

    “Several factors are known to influence microbial composition at different stages of life, including genetic factors, mode of delivery [vaginal birth or Caesarean section (C-section)], gestational age, exercise, medication use, living environment, and diet (237-240).”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wang, S., Ryan, C. A., Boyaval, P., Dempsey, E. M., Ross, R. P., & Stanton, C.
Affiliations
  • Teagasc - The Irish Agriculture and Food Development Authority (IE)
  • University College Cork (IE)
  • DuPont (France) (FR)
Corresponding author
Stanton, Catherine
Venue
Trends in Microbiology
Publisher
Elsevier BV
Published
2020-01
Volume
28
Issue
1
Pages
28-45
ISSN
0966-842X (ISSN-L)
OpenAlex
W2972272530
Cited by
243
References
121
Citations by year
2026: 24 · 2025: 53 · 2024: 33 · 2023: 34 · 2022: 45 · 2021: 41 · 2020: 13
FWCI
2.20
Type
journal article
Language
en
Open access
closed
Locations
  • Trends in Microbiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
APC
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Nursing › Nutrition and Dietetics › Infant Nutrition and Health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
Keywords
human microbiome, pregnancy, births, infancy, microbiota-targeted interventions
MeSH terms
Gastrointestinal Microbiome, Mycobiome, Adult, Diet, Female, Humans, Infant, Milk, Human, Mothers, Pregnancy, Vagina, Infectious Disease Transmission, Vertical, Probiotics, 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