Evidence map›Paper›PMID 39492788›Full record

ArticleBioscience reports2024

Causal effects of gut microbiota on gout and hyperuricemia: insights from genome-wide Mendelian randomization, RNA-sequencing, 16S rRNA sequencing, and metabolomes.

Xia Liu, Zhe Feng, Fenglian Zhang, Bo Wang, Zhijuan Wei, Nanqing Liao, Min Zhang, Jian Liang, Lisheng Wang

Abstract read
In one paragraph

Article in Bioscience reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  7. Foods (Basel, Switzerland) · 2025
    Article
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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

9 authors.

Xia LiuMedical College, Guangxi University, Nanning 530004, China.ORCID 0009-0007-8237-248X
Zhe FengDepartment of Joint and Sports Medicine, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, China.
Fenglian ZhangMedical College, Guangxi University, Nanning 530004, China.
Bo WangMedical College, Guangxi University, Nanning 530004, China.
Zhijuan WeiMedical College, Guangxi University, Nanning 530004, China.
Nanqing LiaoMedical College, Guangxi University, Nanning 530004, China.
Min ZhangDepartment of Gerontology, Nanning Social Welfare Hospital, Nanning 530004, China.
Jian LiangMedical College, Guangxi University, Nanning 530004, China.
Lisheng WangMedical College, Guangxi University, Nanning 530004, China.

Funding

National Natural Science Foundation of China (NSFC) 82160843
6 · The paper itself

Abstract

backgroundThis study investigated the causal relationship between gut microbiota (GM), serum metabolome, and host transcriptome in the development of gout and hyperuricemia (HUA) using genome-wide association studies (GWAS) data and HUA mouse model experiments.

methodsMendelian randomization (MR) analysis of GWAS summary statistics was performed using an inverse variance weighted (IVW) approach to determine or predict the causal role of the GM on gout. The HUA mouse model was used to characterize changes in the gut microbiome, host metabolome, and host kidney transcriptome by integrating cecal 16S rRNA sequencing, untargeted serum metabolomics, and host mRNA sequencing.

resultsOur analysis demonstrated causal effects of seven GM taxa on gout, including genera of Ruminococcus, Odoribacter, and Bacteroides. Thirty eight immune cell traits were associated with gout. Dysbiosis of Dubosiella, Lactobacillus, Bacteroides, Alloprevotella, and Lachnospiraceae_NK4A136_group genera were associated with changes in the serum metabolites and kidney transcriptome of the HUA model mice. The changes in the gut microbiome of the HUA model mice correlated significantly with alterations in the levels of serum metabolites such as taurodeoxycholic acid, phenylacetylglycine, vanylglycol, methyl hexadecanoic acid, carnosol, 6-aminopenicillanic acid, sphinganine, p-hydroxyphenylacetic acid, pyridoxamine, and de-o-methylsterigmatocystin, and expression of kidney genes such as CNDP2, SELENOP, TTR, CAR3, SLC12A3, SCD1, PIGR, CD74, MFSD4B5, and NAPSA.

conclusionOur study demonstrated a causal relationship between GM, immune cells, and gout. HUA development involved alterations in the vitamin B6 metabolism because of GM dysbiosis that resulted in altered pyridoxamine and pyridoxal levels, dysregulated sphingolipid metabolism, and excessive inflammation.

Indexed as

Gastrointestinal MicrobiomeGenome-Wide Association StudyGoutHyperuricemiaMendelian Randomization AnalysisRNA, Ribosomal, 16SAnimalsBacteriaDisease Models, AnimalDysbiosisHumansKidneyMaleMetabolomeMiceMice, Inbred C57BLRNA, Ribosomal, 16SGoutgut microbiotaHyperuricemiaMendelian randomizationmulti-omics

Identifiers

PMID39492788
PMCPMC11598824

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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.