ArticlePeerJ2023
Serum metabolomics analysis reveals metabolite profile and key biomarkers of idiopathic membranous nephropathy.
Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Transcriptomic analysis of differential expression and correlation of coding and non-coding RNAs in urine from patients with idiopathic membranous nephropathy.Biology direct · 2026Article
- Evolution of idiopathic membranous nephropathy to class v lupus nephritis: a case report and literature review.Frontiers in medicine · 2026Article
- Urinary betaine/creatinine ratio enhances diagnostic accuracy of PLA2R-Ab in idiopathic membranous nephropathy.BMC nephrology · 2025Article
- Triptolide improves microbial dysbiosis and metabolite disorder in db/db mice.Renal failure · 2025Article
- Discovery of non-invasive biomarkers for accurate detection of membranous nephropathy.Scientific reports · 2025Article
- Impact of immune cell metabolism on membranous nephropathy and prospective therapy.Communications biology · 2025Review
- Hemoglobin-associatedFrontiers in medicine · 2025Article
- Untargeted metabolomics reveals the metabolic characteristics and biomarkers of obstetric antiphospholipid syndrome and undifferentiated connective tissue disease.Frontiers in molecular biosciences · 2025Article
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Idiopathic membranous nephropathy (IMN) is an organ-specific autoimmune disease with multiple and complex pathogenic mechanisms. Currently, renal biopsy is considered the gold standard for diagnosing membranous nephropathy. However, there were limitations to the renal puncture biopsy, such as the relatively high cost, longer time consuming, and the risk of invasive procedures. We investigated the profile of serum metabolites in IMN patients based on the UHPLC-QE-MS metabolomics technique for exploring the potential disease biomarkers and clinical implementation. Methods: In our research, we collected serum samples from healthy control ( Result: We identified 215 differentially expressed metabolites (DEMs) between the IMN and healthy control (HC) groups. Furthermore, these DEMs were significantly identified in histidine metabolism, arginine and proline metabolism, pyrimidine metabolism, purine metabolism, and steroid hormone biosynthesis. Several key DEMs were significantly correlated with the level of clinical parameters, such as serum albumin, IgG, UTP, and cholesterol. Among them, dehydroepiandrosterone sulfate (DHEAS) was considered the reliable diagnostic biomarker in the IMN group. There was an increased abundance of actinobacteria, phylum proteobacteria, and class gammaproteobacterial in IMN patients for host-microbiome origin analysis. Conclusion: Our study revealed the profiles of DEMs from the IMN and HC groups. The result demonstrated that there were disorders of amino acids, nucleotides, and steroids hormones metabolism in IMN patients. The down-regulation of DHEAS may be associated with the imbalance of the immune environment in IMN patients. In host-microbiome origin analysis, the gut microbiota and metabolite disturbances were present in IMN patients.
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