SynthesisJournal of nephrology2024
The current use of proteomics and metabolomics in glomerulonephritis: a systematic literature review.
Synthesis in Journal of nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Systemic Proteome Profiling to Differentiate Primary Glomerular Diseases.Journal of the American Society of Nephrology : JASN · 2026Article
- Multi-omics-driven precision medicine.iMeta · 2026Review
- The urinary albumin-to-creatinine ratio can direct personalized prevention and treatment for cardiovascular and chronic kidney disease.Journal of internal medicine · 2026Review
- IgA Vasculitis Across the Ages: Is It Time for a Precision Medicine Approach?ACR open rheumatology · 2025Review
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Authors and funding
5 authors.
Funding
Abstract
backgroundGlomerulonephritis inherently leads to the development of chronic kidney disease. It is the second most common diagnosis in patients requiring renal replacement therapy in the United Kingdom. Metabolomics and proteomics can characterise, identify and quantify an individual's protein and metabolite make-up. These techniques have been optimised and can be performed on samples including kidney tissue, blood and urine. Utilising omic techniques in nephrology can uncover disease pathophysiology and transform the diagnostics and treatment options for glomerulonephritis.
objectivesTo evaluate the utility of metabolomics and proteomics using mass spectrometry and nuclear magnetic resonance in glomerulonephritis.
methodsThe systematic review was registered on PROSPERO (CRD42023442092). Standard and extensive Cochrane search methods were used. The latest search date was March 2023. Participants were of any age with a histological diagnosis of glomerulonephritis. Descriptive analysis was performed, and data presented in tabular form. An area under the curve or p-value was presented for potential biomarkers discovered.
resultsTwenty-seven studies were included (metabolomics (n = 9)), and (proteomics (n = 18)) with 1818 participants. The samples analysed were urine (n = 19) blood (n = 4) and biopsy (n = 6). The typical outcome themes were potential biomarkers, disease phenotype, risk of progression and treatment response.
conclusionThis review shows the potential of metabolomic and proteomic analysis to discover new disease biomarkers that may influence diagnostics and disease management. Further larger-scale research is required to establish the validity of the study outcomes, including the several proposed biomarkers.
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