Evidence map›Paper›PMID 42010710›Full record

ArticleMicrobiome2026

Unveiling microbial risks in Chinese household dust: a comprehensive analysis from absolute abundance to virulence unit.

Lu Long, Yan An, Li-Ting Zhu, Xue-Li Xu, Jing-Jing Lin, Wen-Juan Xu, Jing-Yu Chen, Fang-Yu Liu, Xu-Yi Liu, Qiansheng Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiome, 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

10 authors.

Lu LongXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Yan AnCollege of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, 071002, China.
Li-Ting ZhuXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Xue-Li XuXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Jing-Jing LinXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Wen-Juan XuXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Jing-Yu ChenXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Fang-Yu LiuXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Xu-Yi LiuXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Qiansheng HuangXiamen Key Laboratory of Indoor Air and Health, State Key Laboratory of Regional and Urban Ecology, State Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China. qshuang@iue.ac.cn.

Funding

Fujian Provincial Natural Science Foundation of China (2025J02030, 2025J01256)National Basic Science Data Center "Environment Health DataBase" (NO. NBSDC-DB-21)National Natural Science Foundation of China (42177362)
6 · The paper itself

Abstract

backgroundPeople spend the majority of their lives indoors, yet the risk and virulence potential of household microbiota remain largely unexplored, particularly in developing countries.

resultsHere, we conducted a nationwide survey on both dust samples and health information across 118 Chinese households. The microbiota composition and its functional units were analyzed using absolute 16S rRNA/ITS sequencing, metagenomics, and metaproteomics. Cross-domain network analysis of the core microbial communities revealed robust co-occurrence patterns in household dust. The mean absolute abundance of potentially pathogenic bacteria and fungi in households was 2.39 × 10

conclusionsThis study provides a comprehensive, quantitative framework linking indoor microbial exposure to health risks, highlighting EVs as a non-negligible, novel, extracellular mechanistic pathway for health impact in household environments. Video Abstract.

Indexed as

BacteriaDustFungiMicrobiotaAir Pollution, IndoorChildChinaFamily CharacteristicsHumansMetagenomicsRNA, Ribosomal, 16SVirulence FactorsDustRNA, Ribosomal, 16SVirulence FactorsAbsolute abundanceAdverse health outcomesExtracellular vesiclesHousehold microbiotaUrban environmentVirulence factors

Identifiers

PMID42010710
PMCPMC13227884

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.