Evidence map›Paper›PMID 35464950›Full record

ArticleFrontiers in microbiology2022

The Potential of Gut Microbiota Metabolic Capability to Detect Drug Response in Rheumatoid Arthritis Patients.

Maozhen Han, Na Zhang, Yujie Mao, Bingbing Huang, Mengfei Ren, Zhangjie Peng, Zipeng Bai, Long Chen, Yan Liu, Shanshan Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Maozhen HanSchool of Life Sciences, Anhui Medical University, Hefei, China.
Na ZhangSchool of Life Sciences, Anhui Medical University, Hefei, China.
Yujie MaoSchool of Life Sciences, Anhui Medical University, Hefei, China.
Bingbing HuangDepartment of Maternal, Child, and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China.
Mengfei RenSchool of Life Sciences, Anhui Medical University, Hefei, China.
Zhangjie PengSchool of Life Sciences, Anhui Medical University, Hefei, China.
Zipeng BaiSchool of Life Sciences, Anhui Medical University, Hefei, China.
Long ChenSchool of Life Sciences, Anhui Medical University, Hefei, China.
Yan LiuSchool of Life Sciences, Anhui Medical University, Hefei, China.
Shanshan WangDepartment of Blood Transfusion, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Shenghai HuangSchool of Life Sciences, Anhui Medical University, Hefei, China.
Zhixiang ChengDepartment of Blood Transfusion, The Fourth Affiliated Hospital of Anhui Medical University, Hefei, China.
Anhui Medical University · CNFourth Affiliated Hospital of Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gut microbiota plays an essential role in the development of rheumatoid arthritis (RA) and affects drug responses. However, the underlying mechanism remains elusive and urgent to elucidate to explore the pathology and clinical treatment of RA. Therefore, we selected methotrexate (MTX) as an example of RA drugs to explore the interactions between the gut microbiota and drug responses and obtain an in-depth understanding of their correlation from the perspective of the metabolic capability of gut microbiota on drug metabolism. We identified 2,654 proteins and the corresponding genes involved in MTX metabolism and then profiled their abundances in the gut microbiome datasets of four cohorts. We found that the gut microbiota harbored various genes involved in MTX metabolism in healthy individuals and RA patients. Interestingly, the number of genes involved in MTX metabolism was not significantly different between response (R) and non-response (NR) groups to MTX, but the gene composition in the microbial communities significantly differed between these two groups. Particularly, several models were built based on clinical information, as well as data on the gene, taxonomical, and functional biomarkers by using the random forest algorithm and then validated. Our findings provide bases for clinical management not only of RA but also other gut microbiome-related diseases. First, it suggests that the potential metabolic capability of gut microbiota on drug metabolism is important because they affect drug efficiency; as such, clinical treatment strategies should incorporate the gene compositions of gut microbial communities, in particular genes involved in drug metabolism. Second, a suitable model can be developed to determine hosts' responses to drugs before clinical treatment.

Indexed as

clinical medicationdrug metabolismgut microbiotamethotrexaterheumatoid arthritis

Identifiers

PMID35464950
PMCPMC9024311
OpenAlexW4225882744

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.