Evidence map›Paper›PMID 39902937›Full record

ArticlemSystems2025

Industrialization drives the gut microbiome and resistome of the Chinese populations.

Chen Tian, Tongzuo Zhang, Daohua Zhuang, Yu Luo, Teng Li, Fangfang Zhao, Jianan Sang, Zecheng Tang, Peicheng Jiang, Tao Zhang and 3 more

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

13 authors.

Chen Tian *State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.ORCID 0000-0003-2922-4246
Tongzuo Zhang *Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, Qinghai, China.
Daohua Zhuang *State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.
Yu Luo *State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.
Teng LiState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.
Fangfang ZhaoCollege of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China.
Jianan SangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.
Zecheng TangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.
Peicheng JiangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.
Tao ZhangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.
Pengfei LiuCenter for Pan-third Pole Environment, Lanzhou University, Lanzhou, China.ORCID 0000-0003-1003-2025
Lei ZhuState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.ORCID 0009-0004-3602-1281
Zhigang ZhangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, Yunnan, China.ORCID 0000-0001-5639-1352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industrialization has driven lifestyle changes in eastern and western Chinese populations, yet we have a poor understanding of the dynamic changes in their gut microbiome and resistome under industrialization, which is essential for the scientific management of public health. Here, this study employed metagenomics to analyze the gut microbiota of 1,382 healthy individuals from China, including 415 individuals from the eastern region of advanced industrialization and 967 individuals from the western region of developing industrialization. Compared with western populations, eastern populations show a significant increase in interindividual dissimilarity of microbial species composition and metabolic pathways but a significant decrease in intraindividual species and functional diversity. Furthermore, our results found significantly less abundance and richness of antibiotic resistance genes (ARGs) in the gut microbiota of eastern populations, alongside a lower prevalence of unique core ARG subtypes. For the 12 core ARG types shared between eastern and western populations, the mean relative abundance of two types was notably higher in the eastern populations, while eight core ARG types had significantly higher mean relative abundance in the western populations. Based on the reconstruction of metagenomic assembled genomes, we found that IMPORTANCE: As China experiences rapid but uneven industrialization, understanding its effect on people's gut bacteria is critical for public health. This study reveals how industrialization may reshape the health risks related to gut bacteria and antibiotic resistance. This work provides crucial information to help create customized public health policies for different regions.

Indexed as

Drug Resistance, BacterialGastrointestinal MicrobiomeIndustrial DevelopmentAdultBacteriaChinaDrug Resistance, MicrobialEast Asian PeopleEscherichia coliFemaleHumansMaleMetagenomicsMiddle Agedantibiotic resistance genegut microbiomeindustrializationpublic health

Identifiers

PMID39902937
PMCPMC11915869

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.