Evidence map›Paper›PMID 42216084›Full record

ArticleMicrobiome2026

Longitudinal analysis of stowaway microorganisms aboard modules and cargo spacecraft of the Chinese Space Station.

Ying Zhang, Jinglin Ma, Lantao Zhang, Ran Wang, Xi Qu, Tao Wei, Jiangchuan Zhou, Weijie Liu, Xiang Wang

Abstract read
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

9 authors.

Ying ZhangSchool of Life Science, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Beijing, 100081, China. zhangying3409@bit.edu.cn.
Jinglin MaSchool of Life Science, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Beijing, 100081, China.
Lantao ZhangBeijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing, 100094, China.
Ran WangBeijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing, 100094, China.
Xi QuBeijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing, 100094, China.
Tao WeiSchool of Life Science, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Beijing, 100081, China.
Jiangchuan ZhouSchool of Life Science, Beijing Institute of Technology, No. 5 Zhongguancun South Street, Beijing, 100081, China.
Weijie LiuSchool of Life Science, Jiangsu Normal University, Xuzhou, Jiangsu Province, 221116, China. leonliu2013@126.com.
Xiang WangBeijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Beijing, 100094, China. wangxiang0223@hotmail.com.

Funding

National Natural Science Foundation of China 32270119Space Station Engineering Science Experiment Project KJZ-YY-NSM0518
6 · The paper itself

Abstract

backgroundAlthough microbial contamination in crewed spacecraft is well studied, quantitative assessment of microorganisms from spacecraft structures and cargo remains overlooked. Here, we investigate 165 microbial samples collected from five critical environments of China Space Station (CSS) missions undertaken in 2016-2024: ground assembly, cargo loading, crewed simulation cabin, test cabin, and on-orbit. The investigation aims to elucidate the impact of cargo- and cabin-derived microorganisms on the CSS microbial community while characterizing the station's unique microbial profile.

resultsThe calculation results based on the microbial source tracking model revealed that the proportion of cabin-source microbes peaked during initial construction (14.02%) but declined after deployment, whereas cargo-source microbes reached 36.89%. The top three persistent microbial genera in orbit from both sources were Staphylococcus, Acinetobacter, and Corynebacterium. High-abundance CSS microorganisms in the orbital environment are commonly found in both humans and plants, and the few cabin- or cargo-derived microorganisms that entered the interior differed markedly from high-abundance microorganisms found in terrestrial environments. Cargo storage areas and controlled cleanrooms posed a high risk of microbial transfer into orbit, necessitating stricter sterilization measures.

conclusionsThese findings systematically characterize, for the first time, the dynamic patterns of structural/cargo-borne microbial contamination during CSS's early phases, providing critical data for biosecurity protocols of long-duration missions. Video Abstract.

Indexed as

BacteriaEnvironment, ControlledMicrobiotaSpacecraftChinaEnvironmental MicrobiologyHumansSpace FlightCabin- & cargo-derived microorganismsChina space stationMicrobial safety prevention and controlMicrobiomeSource tracing

Identifiers

PMID42216084
PMCPMC13417861

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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.