Evidence map›Paper›PMID 42082468›Full record

ArticleNature communications2026

Probiotics mitigate non-antibiotic drug-induced dysbiosis via protein homology-driven competitive binding.

Shuo Feng, Shu-Xin Zhou, Zi-Lin Si, Yu-Min Cai, Yi-Fan Huangfu, Yi-Jia Hou, Zi-Tong Wang, Qi Liu, Hong-Xi Liu, Li-Juan Zhai and 11 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

21 authors.

Shuo Feng *School of Life Science and Technology, China Pharmaceutical University, Nanjing, China.ORCID http://orcid.org/0009-0008-3801-7568
Shu-Xin Zhou *School of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Zi-Lin Si *School of Life Science and Technology, China Pharmaceutical University, Nanjing, China.ORCID http://orcid.org/0009-0000-9044-2248
Yu-Min CaiSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Yi-Fan HuangfuSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Yi-Jia HouSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Zi-Tong WangSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Qi LiuSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Hong-Xi LiuSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Li-Juan ZhaiSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Tao HeSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Mao GuSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Gong-Hui TanSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Ao-Bo ZhangSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Jun-Ling ZhaoSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Tao XuSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Yan LingSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China.
Ying-Jian HouTarget Discovery Center, China Pharmaceutical University, Nanjing, China.
Xiao ZhengState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, China. xzheng@cpu.edu.cn.ORCID http://orcid.org/0000-0002-3883-4372
Jing LiSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China. lj_cpu@126.com.ORCID http://orcid.org/0000-0001-9972-7397
Xing-Zhen LaoSchool of Life Science and Technology, China Pharmaceutical University, Nanjing, China. lao@cpu.edu.cn.ORCID http://orcid.org/0000-0003-0401-0663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While the impact of non-antibiotic drugs on gut bacteria is well-known, their mechanisms of action remain poorly characterized, and effective mitigation strategies for drug-induced dysbiosis are still limited. Here, we screened bacteria-derived drug-target protein homologs (BDTPHs) mapped to 63 target proteins and 107 associated drugs to quantify "drug-BDTPH-bacterium" interactions. These interactions were validated by co-culture experiments using 10 drugs and 25 strains, enzyme assays, and genetic perturbations in Escherichia coli. Ex vivo and in vivo testing with six drugs showed that over 50% of affected genera exhibited high affinity, indicating microbiota alterations through the "drug-BDTPH-bacterium" axis. Leveraging this quantitative interaction framework, we identified a strain of Bifidobacterium animalis that can competitively bind methotrexate through high-affinity BDTPH, thereby effectively alleviating gut microbiota dysbiosis in vivo. Our findings elucidate a mechanism by which non-antibiotic drug effects on bacterial growth, and suggest a universal homology-based competition strategy to restore drug-disrupted microbiota.

Indexed as

Bacterial ProteinsDysbiosisGastrointestinal MicrobiomeProbioticsAnimalsBifidobacteriumBinding, CompetitiveEscherichia coliHumansMethotrexateMiceBacterial ProteinsMethotrexate

Identifiers

PMID42082468
PMCPMC13346816

What OpenQuestion holds

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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.