ArticleClinical proteomics2022
Identification of biomarkers of chronic kidney disease among kidney-derived proteins.
Article in Clinical proteomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Chronic kidney disease among patients with hypertension in sub-Saharan Africa: a systematic review and meta-analysis.BMC public health · 2025Pooled it
- Identification of serum biomarkers for chronic kidney disease using serum metabolomics.Renal failure · 2024Article
- Preclinical Detection of Early Glomerular Injury in Children with Kidney Diseases-Independently of Usual Markers of Kidney Impairment and Inflammation.International journal of molecular sciences · 2024Article
- Proteogenomics in Nephrology: A New Frontier in Nephrological Research.Current issues in molecular biology · 2024Review
- Stage II of Chronic Kidney Disease-A Tipping Point in Disease Progression?Biomedicines · 2022Article
Corrections and comments
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Authors and funding
16 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundChronic kidney disease (CKD) has few objective symptoms, and it is difficult to make an early diagnosis by using existing methods. Therefore, new biomarkers enabling diagnosis of renal dysfunction at an early stage need to be developed. Here, we searched for new biomarkers of CKD by focusing on kidney-derived proteins that could sensitively reflect that organ's disease state.
methodsTo identify candidate marker proteins, we performed a proteomics analysis on renal influx and efflux blood collected from the same individual.
resultsProteomics analysis revealed 662 proteins in influx blood and 809 in efflux. From these identified proteins, we selected complement C1q as a candidate; the plasma C1q level was significantly elevated in the renal efflux of donors. Moreover, the plasma concentration of C1q in a mouse model of diabetic nephropathy was significantly increased, in association with increases in blood glucose concentration and urinary protein content. Importantly, we demonstrated that the tendency of C1q to increase in the plasma of CKD patients was correlated with a decrease in their estimated glomerular filtration rate.
conclusionOverall, our results indicate that our approach of focusing on kidney-derived proteins is useful for identifying new CKD biomarkers and that C1q has potential as a biomarker of renal function.
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