ArticleKidney medicine2023
Plasma Biomarkers and Incident CKD Among Individuals Without Diabetes.
Article in Kidney medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Plasma Biomarkers of Kidney Tubule Health during Ambulatory AKI and Kidney Function Recovery in SPRINT.Clinical journal of the American Society of Nephrology : CJASN · 2026Trial
- Association between serum lactate dehydrogenase level and renal outcome in patients with advanced chronic kidney disease without diabetes mellitus.Clinical and experimental nephrology · 2026Article
- Shared multicellular injury programs of acute and chronic kidney disease enable mechanistic patient stratification.medRxiv : the preprint server for health sciences · 2026Article
- Associations of repeated measures of plasma biomarkers of kidney tubular health with longitudinal kidney function in people with HIV.AIDS (London, England) · 2026Article
- Functional Molecular Plasma Biomarkers of Inflammation and Repair in Kidney Disease Progression in Gum Arabica Modality of CKD.International journal of molecular sciences · 2026Article
- Defining Kidney Health Dimensions and Their Associations with Adverse Outcomes in Persons with Diabetes and CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- Investigating the cause of cardiovascular dysfunction in chronic kidney disease: capillary rarefaction and inflammation may contribute to detrimental cardiovascular outcomes.Basic research in cardiology · 2024Article
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Authors and funding
18 authors at 14 institutions in 1 country.
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Abstract
Rationale & Objective: Biomarkers of kidney disease progression have been identified in individuals with diabetes and underlying chronic kidney disease (CKD). Whether or not these markers are associated with the development of CKD in a general population without diabetes or CKD is not well established. Study Design: Prospective observational cohort. Setting & Participants: In the Atherosclerosis Risk in Communities) study, 948 participants were studied. Exposures: The baseline plasma biomarkers of kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein-1 (MCP-1), soluble urokinase plasminogen activator receptor (suPAR), tumor necrosis factor receptor 1 (TNFR-1), tumor necrosis factor receptor 2 (TNFR-2), and human cartilage glycoprotein-39 (YKL-40) measured in 1996-1998. Outcome: Incident CKD after 15 years of follow-up defined as ≥40% estimated glomerular filtration rate decline to <60 mL/min/1.73 m Analytical Approach: Logistic regression and C statistics. Results: There were 523 cases of incident CKD. Compared with a random sample of 425 controls, there were greater odds of incident CKD per 2-fold higher concentration of KIM-1 (OR, 1.49; 95% CI, 1.25-1.78), suPAR (OR, 2.57; 95% CI, 1.74-3.84), TNFR-1 (OR, 2.20; 95% CI, 1.58-3.09), TNFR-2 (OR, 2.03; 95% CI, 1.37-3.04). After adjustment for all biomarkers, KIM-1 (OR, 1.42; 95% CI, 1.19-1.71), and suPAR (OR, 1.86; 95% CI, 1.18-2.92) remained associated with incident CKD. Compared with traditional risk factors, the addition of all 6 biomarkers improved the C statistic from 0.695-0.731 ( Limitations: Biomarkers and creatinine were measured at one time point. Conclusions: Higher levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with higher odds of incident CKD among individuals without diabetes. Plain-Language Summary: For people with diabetes or kidney disease, several biomarkers have been shown to be associated with worsening kidney disease. Whether these biomarkers have prognostic significance in people without diabetes or kidney disease is less studied. Using the Atherosclerosis Risk in Communities study, we followed individuals without diabetes or kidney disease for an average of 15 years after biomarker measurement to see if these biomarkers were associated with the development of kidney disease. We found that elevated levels of KIM-1, suPAR, TNFR-1, and TNFR-2 were associated with the development of kidney disease. These biomarkers may help identify individuals who would benefit from interventions to prevent the development of kidney disease.
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