Evidence map›Paper›PMID 40329182›Full record

ArticleBMC microbiology2025

Uncovering potential biomarkers and metabolic pathways in systemic lupus erythematosus and lupus nephritis through integrated microbiome and metabolome analysis.

Siyun Cheng, Xiaojie Chu, Zhongyu Wang, Adeel Khan, Yue Tao, Han Shen, Ping Yang

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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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

7 authors.

Siyun Cheng *Department of Clinical Laboratory, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, 210008, China.
Xiaojie Chu *Department of Clinical Laboratory, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, 210008, China.
Zhongyu Wang *Department of Clinical Laboratory, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, 210008, China.
Adeel KhanDepartment of Biotechnology, University of Science and Technology, Bannu, KP, Pakistan.
Yue TaoDepartment of Clinical Laboratory, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, 210008, China. peachmoon@163.com.
Han ShenDepartment of Clinical Laboratory, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, 210008, China. shenhan@njglyy.com.
Ping YangDepartment of Clinical Laboratory, Nanjing Drum Tower Hospital Clinical College of Xuzhou Medical University, Nanjing, 210008, China. pingyang@njglyy.com.

Funding

the Nanjing Drum Tower Hospital Clinical Research Special Fund Project 2024-LCYJ-MS-11the National Natural Science Foundation of China 82202600the New Technology Development Fund of Nanjing Drum Tower Hospital XJSFZJJ201905
6 · The paper itself

Abstract

objectiveThis study aims to explore the relationship between gut microbiota and fecal metabolomic profiles in patients with systemic lupus erythematosus (SLE), with and without lupus nephritis (LN), in order to identify potentially relevant biomarkers and better understand their association with disease progression.

methodsFecal samples from 15 healthy controls (HC) and 36 SLE patients (18 SLE-nonLN and 18 SLE-LN) were analyzed using 16S rRNA gene sequencing and untargeted metabolomics. Differential microbial taxa and metabolites were identified using Linear Discriminant Analysis Effect Size (LEfSe) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Receiver Operating Characteristic (ROC) curve analyses were used to assess the potential clinical relevance of selected metabolites.

resultsBeta diversity analysis demonstrated distinct microbial clustering between groups (p < 0.05). SLE-LN samples showed an increased relative abundance of Proteobacteria and decreased Firmicutes compared to SLE-nonLN. Metabolomic profiling identified multiple differentially abundant metabolites, with notable enrichment in primary bile acid biosynthesis pathways (e.g., Glycocholic acid, AUC = 0.951). In the SLE-nonLN group, increased Glycoursodeoxycholic acid levels (AUC = 0.922) were observed in pathways related to taurine and hypotaurine metabolism. Correlation analysis indicated a negative association between Escherichia-Shigella and bile acid levels (p < 0.01).

conclusionThis integrative analysis suggests that patients with SLE and LN harbor distinct gut microbiota and metabolomic profiles. The identified microbial taxa and metabolites may have potential as non-invasive biomarkers and could contribute to a better understanding of SLE pathogenesis and progression.

Indexed as

BacteriaGastrointestinal MicrobiomeLupus Erythematosus, SystemicLupus NephritisMetabolic Networks and PathwaysMetabolomeAdultBiomarkersCase-Control StudiesFecesFemaleHumansMaleMetabolomicsMiddle AgedRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16S16S rRNA sequencingBiomarkersFecal samplesGut microbiotaLNMetabolic pathwaysMetabolomicsSLE

Identifiers

PMID40329182
PMCPMC12057120

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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.