Evidence map›Paper›PMID 42775698›Full record

ArticleAging cell2026

Transplantation of Elderly Human Gut Microbiota Into Pigs Reprograms Intestinal Barrier Function, Plasma Metabolome, and Gut Mucosal Transcriptomic Landscape.

Jiaxin Wang, Lingyu Li, Lihua Mei, Zhining Tang, Baorui Liao, Qianye Zhao, Yuzeng Wang, Qingyao Fu, Liu Ren, Zhian Zhai and 10 more

Abstract read
In one paragraph

Article in Aging cell, 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

20 authors.

Jiaxin WangState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Lingyu LiState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Lihua MeiState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Zhining TangState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Baorui LiaoState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Qianye ZhaoState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Yuzeng WangState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Qingyao FuState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Liu RenState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Zhian ZhaiState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Yifei XuState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Aoyu YangState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Shuai DuanState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Zhengyuan ZhaiCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0002-8154-1540
Yanling HaoKey Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, China.
Yalin ZhouDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Yajun XuDepartment of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China.
Ying YangState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.
Zhenlong WuState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0001-9348-5761
Yun JiState Key Laboratory of Animal Nutrition and Feeding, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0002-3483-0729

Funding

National Key Research and Development Program of China 2022YFD1300501National Key Research and Development Program of China 2022YFF1100102National Key Research and Development Program of China 2022YFF1100104
6 · The paper itself

Abstract

The gut microbiota plays a pivotal role in maintaining intestinal homeostasis and regulating host metabolism, yet its composition and function undergo substantial alterations with aging. However, the relationship between age-associated microbial changes and host intestinal physiology remains not fully elucidated. Here, we employed Bama miniature pigs, a model with close gastrointestinal similarity to humans, to investigate the impact of fecal microbiota transplantation (FMT) from young or elderly human donors on gut structure, barrier integrity, plasma metabolites, and intestinal mucosal transcriptomics. FMT resulted in distinct gut microbial profiles, with elderly-donor FMT reducing ileal villus height and tight junction proteins (ZO-1, claudin-1, and occludin) across multiple intestinal segments. At the species level, Phocea massiliensis predominated in young-donor pigs, while Blautia obeum was enriched in elderly-donor pigs. Plasma metabolomic analysis revealed increased 3-methyloxindole, prostaglandin E3, and 2-hydroxybutanoic acid but reduced Tyr-Phe and 2-hydroxyoctadecanoic acid in the elderly group. Among B. obeum-associated metabolites, Tyr-Phe and 2-hydroxyoctadecanoic acid exhibited a positive correlation with certain intestinal tight junction protein levels, whereas prostaglandin E3 showed an inverse correlation. Further validation performed in IPEC-1 cells demonstrated that Tyr-Phe elevated transepithelial electrical resistance (TEER), while prostaglandin E3 lowered this parameter. Transcriptomic profiling identified seven hub genes (MX2, ISG15, IFI6, IFIT1, OAS1, DHX58, ISG12(A)) that were consistently downregulated in the ileal mucosa of pigs receiving elderly-donor microbiota. These findings link age-associated microbiota alterations to coordinated changes in intestinal architecture, barrier integrity, and host metabolic and transcriptional profiles, providing insights into microbial and metabolic features associated with age-related intestinal decline.

Indexed as

Fecal Microbiota TransplantationGastrointestinal MicrobiomeIntestinal MucosaMetabolomeTranscriptomeAgingAnimalsHumansIntestinal Barrier FunctionSwineagingfecal microbiota transplantationgut microbiotaintestinal barrierpig model

Identifiers

PMID42775698
PMCPMC13599347

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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.