Evidence map›Paper›PMID 42669713›Full record

ArticleNature communications2026

Longitudinal dynamics of the maternal gut virome associate with metabolic features of preterm birth.

Xianyue Jiao, Yunhaonan Yang, Fan Li, Ju-Sheng Zheng, Yuwei Lai, Bowen Li, Tianlei Wang, Yidan Dong, Yuxiang Wang, Yingru Li and 13 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Xianyue Jiao *Laboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Yunhaonan Yang *Laboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.ORCID 0009-0008-4692-2680
Fan Li *Laboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.ORCID 0000-0001-8949-4905
Ju-Sheng ZhengWestlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.ORCID 0000-0001-6560-4890
Yuwei LaiDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bowen LiCenter for Infection Biology, School of Basic Medical Sciences, Tsinghua University, Beijing, China.
Tianlei WangLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Yidan DongLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Yuxiang WangDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yingru LiLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Rui LiLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Zibo WuLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Gan WuLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Jiaying YuanDepartment of Science and Education, Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, China.
Shanshan ZhangDepartment of Evidence-Based Medicine and Social Medicine, School of Public Health, Chengdu Medical College, Chengdu, China.
Shuo LiLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
Gang LiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-1430-3016
Jing ShiDepartment of Pediatrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, China.
Fei XiongDepartment of Pediatrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, China.
An PanDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. panan@hust.edu.cn.ORCID 0000-0002-1089-7945
Guanxiang LiangCenter for Infection Biology, School of Basic Medical Sciences, Tsinghua University, Beijing, China. guanxiangliang@tsinghua.edu.cn.ORCID 0000-0002-7367-2516
Yichao HuangDepartment of Toxicology, School of Public Health, Anhui Medical University, Hefei, China. yichao.huang@ahmu.edu.cn.ORCID 0000-0003-1186-1300
Xiong-Fei PanLaboratory of Epidemiology and Population Health, Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China. pxiongfei@scu.edu.cn.ORCID 0000-0002-9350-9230

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82473646
6 · The paper itself

Abstract

Preterm birth (PTB) remains a major pregnancy complication, yet the role of the maternal gut virome in its etiology is largely unknown. Here we show that the maternal gut virome undergoes ecological destabilization prior to PTB, coupled with distinct host metabolic remodeling. Nested within the Tongji-Huaxi-Shuangliu Birth Cohort, we integrate longitudinal gut virome and bacteriome profiles from 300 stool samples, alongside matched serum metabolomes and clinical profiles, from 100 pregnant women (50 with PTB and 50 with term birth) across early, middle, and late pregnancy. We reveal that although the maternal gut virome is highly personalized and longitudinally stable within individuals, PTB is characterized by reduced virome convergence and specific alterations in viral populations emerging during mid-to-late pregnancy. Host-phage analyses identify remodeling of Klebsiella- and Prevotella-associated viral communities linked to PTB risk. PTB-associated virome alterations are further associated with amino acid metabolic remodeling, particularly glutamate- and aspartate-related pathways, supported by reproducible virus-metabolite associations and enriched viral auxiliary metabolic genes. In addition, L-aspartate partly mediates associations between monocyte-related inflammatory indices and PTB. Multi-omics modeling demonstrates that virome-metabolome signatures achieve strong predictive performance for both PTB and imminent delivery, with viral features contributing substantially to prediction accuracy and retaining predictive value in external validation. Collectively, these findings highlight the maternal virome and its metabolic signatures as key determinants of PTB susceptibility.

Indexed as

Gastrointestinal MicrobiomePremature BirthViromeAdultFecesFemaleHumansInfant, NewbornLongitudinal StudiesMetabolomeMultiomicsPregnancy

Identifiers

PMID42669713
PMCPMC13526804

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