Evidence map›Paper›PMID 41459177›Full record

ArticleEJIFCC2025

Evaluation of Serum Soluble CD36 Levels in the Clinical Progression of Diabetic Nephropathy.

Iyyama Gowri Moovendhan, A K Roopa, E Karthick, M Ganesh, K Sowmya

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In one paragraph

Article in EJIFCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Iyyama Gowri MoovendhanDepartment of Biochemistry, Sri Ramachandra Medical College Hospital, SRIHER, Porur, Chennai, Tamil Nadu, India.
A K RoopaDepartment of Biochemistry, SRM Medical College Hospital and Research centre, Kattankulathur, Chengalpattu, India.
E KarthickDepartment of Biochemistry, Sri Ramachandra Medical College Hospital, SRIHER, Porur, Chennai, Tamil Nadu, India.
M GaneshDepartment of Biochemistry, Sri Ramachandra Medical College Hospital, SRIHER, Porur, Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-1848-7625
K SowmyaDepartment of Biochemistry, Sri Ramachandra Medical College Hospital, SRIHER, Porur, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Diabetic nephropathy (DN) is one of the major contributors to end stage kidney disease globally. Reliable biomarkers for early diagnosis of DN still exists as a major challenge. Serum soluble CD36 (sCD36) involved in lipid metabolism and oxidative stress has been identified as a likely biomarker of DN. Herein, we assess the relationship between sCD36 and clinical worsening of DN, to determine its potential diagnostic value. Material and Methods: A case- control study involving 160 participants, categorized into four groups was conducted i.e., healthy individuals, diabetics with normo-albuminuria, microalbuminuria, and macroalbuminuria (n = 40).Demographic variables and biochemical parameters were compared. The concentrations of sCD36 in serum samples were determined, as well as correlation analysis between sCD36, fasting plasma glucose (FPG), HbA1c, urine albumin creatinine ratio (UACR), and estimated glomerular filtration rate (eGFR) were performed. The diagnostic performance of sCD36 was determined using receiver operating characteristic (ROC) curve. Results: Serum sCD36 levels rose progressively from 9.97 ng/mL in the control group to 12.13 ng/mL in the macroalbuminuria group, p < 0.001. Patients with higher sCD36 levels also had higher fasting plasma glucose, HbA1C, and UACR with a lower eGFR. The ROC analysis of sCD36 gave an AUC of 0.908, showing excellent diagnostic capability of the model. The optimal cut-off value of 10.6 ng/mL yielded 87.5 % sensitivity and 80.83% specificity for detecting advanced DN. Conclusion: Increased serum sCD36 levels correlates directly to DN progression, hence being a promising candidate biomarker for diagnosis and prognosis. The possible direct application of sCD36 into clinical practice might help improve DN management and treatment.

Indexed as

CKDdiabetesdiabetic complicationsDiabetic nephropathydiagnostic utilitynovel biomarkerrenal dysfunctionsCD36

Identifiers

PMID41459177
PMCPMC12743335

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.