Evidence map›Paper›PMID 42558572›Full record

ReviewiMeta2026

Maternal and infant gut microbiome.

Huidi Wang, Felicia Tin, Hui Chen, Fuxin Jiao, Min Wu, Shanshan Sun, Lisha Lin, Die Li, Huimin Zheng, Zhenxin Niu and 16 more

Abstract readReview
In one paragraph

Review in iMeta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

26 authors.

Huidi WangMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.ORCID https://orcid.org/0009-0003-9727-295X
Felicia TinInstitute for Human Development and Potential, Agency for Science Technology and Research (A*STAR) Singapore Singapore.
Hui ChenSchool of Nursing Southern Medical University Guangzhou China.
Fuxin JiaoCenter for Translational Medicine, Shanghai Key Laboratory of Diabetes Mellitus Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China.
Min WuFaculty of Life and Health Sciences Shenzhen University of Advanced Technology Shenzhen China.
Shanshan SunCollege of Food Science & Nutritional Engineering China Agricultural University Beijing China.
Lisha LinDepartment of Pediatrics, Nanfang Hospital Southern Medical University Guangzhou China.
Die LiGuangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital Southern Medical University Guangzhou China.
Huimin ZhengNingbo Key Laboratory of Human Microbiome and Precision Medicine, Central Laboratory of the Medical Research Center The First Affiliated Hospital of Ningbo University Ningbo China.ORCID https://orcid.org/0000-0003-3489-0964
Zhenxin NiuState Key Laboratory of Immune Response and Immunotherapy, Department of Pediatrics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China.
Mengyao LanNingbo Key Laboratory of Human Microbiome and Precision Medicine, Central Laboratory of the Medical Research Center The First Affiliated Hospital of Ningbo University Ningbo China.
Bahtiyar YilmazDepartment of Visceral Surgery and Medicine, Bern University Hospital University of Bern Bern Switzerland.
Johan G ErikssonInstitute for Human Development and Potential, Agency for Science Technology and Research (A*STAR) Singapore Singapore.
Mengjia WangDepartment of Pediatrics, Nanfang Hospital Southern Medical University Guangzhou China.
Andrew MacphersonDepartment of Visceral Surgery and Medicine, Bern University Hospital University of Bern Bern Switzerland.
Jose C ClementeDepartment of Genetics and Genomic Science Icahn School of Medicine at Mount Sinai New York New York USA.
Jia XuInstitute for Human Development and Potential, Agency for Science Technology and Research (A*STAR) Singapore Singapore.
Ri-Hua XieSchool of Nursing Southern Medical University Guangzhou China.
Xiaojiao ZhengCenter for Translational Medicine, Shanghai Key Laboratory of Diabetes Mellitus Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China.
Tao ZhouFaculty of Life and Health Sciences Shenzhen University of Advanced Technology Shenzhen China.
Jinfeng WangCollege of Food Science & Nutritional Engineering China Agricultural University Beijing China.
Wei ShenDepartment of Pediatrics, Nanfang Hospital Southern Medical University Guangzhou China.
Bing HuangGuangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital Southern Medical University Guangzhou China.
Xia ChenNingbo Key Laboratory of Human Microbiome and Precision Medicine, Central Laboratory of the Medical Research Center The First Affiliated Hospital of Ningbo University Ningbo China.ORCID https://orcid.org/0000-0002-7915-4568
Hai LiState Key Laboratory of Immune Response and Immunotherapy, Department of Pediatrics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China.
Yan HeMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital Southern Medical University Guangzhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early-life gut microbiome assembly is a pivotal determinant of lifelong health; however, the integrated frameworks governing this process across developmental milestones remain insufficiently defined. This review establishes a multidimensional framework by delineating the crosstalk between the gut microbiome and the host throughout the preconception, prenatal, postpartum, and early childhood stages. We first highlight the emerging paradigm of biparental microbial contributions during the preconception period, detailing how paternal and maternal niches jointly prime offspring development. Moving into pregnancy, we examine the maternal reservoir, integrating the role of gut microbiota-derived metabolites across multiple trimesters in prenatal priming and vertical transmission. For the postpartum period, we discuss the development of the multikingdom gut microbiome and address the impacts of delivery modes and clinical interventions. Here, we articulate a critical knowledge gap: the discrepancy between taxonomic "catch-up" and true functional restoration, particularly in vulnerable cohorts such as preterm infants. Furthermore, we propose a "developmental synchronization" model within the maternal-infant-microbiome continuum. This model posits that early-life "windows of opportunity" are defined by the obligate temporal coupling of host physiological maturation with stage-specific microbial metabolic signals. From a translational perspective, we discuss how this framework informs the development of precision interventions, such as stage-specific probiotics, prebiotics, or metabolic modulators. These therapies aim to restore not only the microbial composition but also the synchronized functional dialog between the microbiome and host development. By mapping the "microbiota-metabolite-host target-physiological phenotype" network, we provide a systematic roadmap for precision-targeted interventions during the first 1000 days of life.

Indexed as

critical windowsdevelopmentdysbiosisearly‐lifeinfantmaternalmicrobiome

Identifiers

PMID42558572
PMCPMC13437732

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.