Evidence map›Paper›PMID 39975576›Full record

ReviewResearch (Washington, D.C.)2025

Maternal Milk Orchestrates the Development of Infant Gut Microbiota: Implications for Health and Future Research Directions.

Ran Wang, Siyuan Sun, Qi Zhang, Guanglei Wu, Fazheng Ren, Juan Chen

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. mSystems · 2026
    Article
  2. Review
  3. 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

6 authors.

Ran WangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100190, China.
Siyuan SunKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100190, China.
Qi ZhangKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100190, China.
Guanglei WuCollege of Food Science and Nutritional Engineering, Key Laboratory of Functional Dairy, Co-constructed by Ministry of Education and Beijing Government, China Agricultural University, Beijing 100083, China.
Fazheng RenKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100190, China.ORCID https://orcid.org/0000-0002-5485-6862
Juan ChenKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing 100190, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human breast milk serves as a vital source of nutrition for infants, and it also plays a critical role in shaping the infant gut microbiota and establishing intestinal homeostasis. This process substantially impacts immune function, neurodevelopment, and overall health. The noninvasive nature of breast milk collection makes it an ethical and accessible area for research, positioning it as a key focus for future studies. These future directions include the identification of novel bacteria combination, the establishment of comprehensive databases on infant microbiota, and the use of computational models to predict interactions between breast milk components and the gut microbiome. Additionally, the creation of diverse biological models and the establishment of infant stool banks will further enhance understanding of host-microbiome interactions and support disease prevention strategies.

Identifiers

PMID39975576
PMCPMC11836195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.