Evidence map›Paper›PMID 39303691›Full record

ArticleCell2024

Microbial colonization programs are structured by breastfeeding and guide healthy respiratory development.

Liat Shenhav, Kelsey Fehr, Myrtha E Reyna, Charisse Petersen, Darlene L Y Dai, Ruixue Dai, Vanessa Breton, Laura Rossi, Marek Smieja, Elinor Simons and 11 more

Abstract read
In one paragraph

Article in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
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  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Industrialization increases the estrogen-recycling capacity of the gut microbiome.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Review
  19. Review
  20. The gut as a central hub for multi-organ crosstalk in aging.Cellular and molecular life sciences : CMLS · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Liat ShenhavInstitute for Systems Genetics, New York Grossman School of Medicine, New York University, New York, NY, USA; Department of Microbiology, New York Grossman School of Medicine, New York University, New York, NY, USA; Department of Computer Science, Courant Institute of Mathematical Sciences, New York University, New York, NY, USA. Electronic address: liat.shenhav@nyulangone.org.
Kelsey FehrDepartment of Pediatrics and Child Health, University of Manitoba, Winnipeg, MB, Canada; Manitoba Interdisciplinary Lactation Centre (MILC), Children's Hospital Research Institute of Manitoba, Winnipeg, MB, Canada.
Myrtha E ReynaDepartment of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Charisse PetersenDepartment of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
Darlene L Y DaiDepartment of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
Ruixue DaiDepartment of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Vanessa BretonDepartment of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Laura RossiDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Marek SmiejaDepartment of Medicine, McMaster University, Hamilton, ON, Canada.
Elinor SimonsDepartment of Pediatrics and Child Health, University of Manitoba, Winnipeg, MB, Canada; Manitoba Interdisciplinary Lactation Centre (MILC), Children's Hospital Research Institute of Manitoba, Winnipeg, MB, Canada.
Michael A SilvermanDivision of Infectious Disease, Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA; Institute for Immunology and Immune Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Maayan LevyInstitute for Immunology and Immune Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Lars BodeDepartment of Pediatrics, University of California, San Diego, La Jolla, CA, USA; Larsson-Rosenquist Foundation Mother-Milk-Infant Center of Research Excellence (MOMI CORE), University of California, San Diego, La Jolla, CA, USA; Human Milk Institute (HMI), University of California, San Diego, La Jolla, CA, USA.
Catherine J FieldDepartment of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Jean S MarshallDepartment of Department of Microbiology & Immunology, Dalhousie University, Halifax, NS, Canada.
Theo J MoraesDepartment of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Piush J MandhaneDepartment of Pediatrics, University of Alberta, Edmonton, AB, Canada.
Stuart E TurveyDepartment of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, BC, Canada.
Padmaja SubbaraoDepartment of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada; Department of Physiology, University of Toronto, Toronto, ON, Canada. Electronic address: padmaja.subbarao@sickkids.ca.
Michael G SuretteDepartment of Medicine, McMaster University, Hamilton, ON, Canada. Electronic address: surette@mcmaster.ca.
Meghan B AzadDepartment of Pediatrics and Child Health, University of Manitoba, Winnipeg, MB, Canada; Manitoba Interdisciplinary Lactation Centre (MILC), Children's Hospital Research Institute of Manitoba, Winnipeg, MB, Canada. Electronic address: meghan.azad@umanitoba.ca.

Funding

Leveraging early-life microbes to prevent type 1 diabetesR01DK133453 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI Michael A Silverman · 2023 to 2026
$3.1M
BREATH - Breastfeeding, Early-life Microbiome and Respiratory Health StudyDP2AI185753 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Liat Shenhav · 2024 to 2026
$1.5M
NIAID NIH HHS DP2 AI185753NIDDK NIH HHS R01 DK133453
6 · The paper itself

Abstract

Breastfeeding and microbial colonization during infancy occur within a critical time window for development, and both are thought to influence the risk of respiratory illness. However, the mechanisms underlying the protective effects of breastfeeding and the regulation of microbial colonization are poorly understood. Here, we profiled the nasal and gut microbiomes, breastfeeding characteristics, and maternal milk composition of 2,227 children from the CHILD Cohort Study. We identified robust colonization patterns that, together with milk components, predict preschool asthma and mediate the protective effects of breastfeeding. We found that early cessation of breastfeeding (before 3 months) leads to the premature acquisition of microbial species and functions, including Ruminococcus gnavus and tryptophan biosynthesis, which were previously linked to immune modulation and asthma. Conversely, longer exclusive breastfeeding supports a paced microbial development, protecting against asthma. These findings underscore the importance of extended breastfeeding for respiratory health and highlight potential microbial targets for intervention.

Indexed as

Breast FeedingMilk, HumanAsthmaChild, PreschoolCohort StudiesFemaleGastrointestinal MicrobiomeHumansInfantInfant, NewbornMaleMicrobiotaasthmabreastfeedingcomputational biologydevelopmentearly lifegut microbiomehuman milkmachine learningmicrobial dynamicsmicrobiome developmentnasal microbiomerespiratory health

Identifiers

PMID39303691
PMCPMC11531244

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.