Diabetic Microvascular Complications: Novel Risk Factors, Biomarkers, and Risk Prediction Models

Persons with diabetes are at increased risk of developing microvascular complications such as diabetic retinopathy (DR), a leading cause of blindness, diabetic nephropathy (DN), a leading cause of renal failure, and diabetic peripheral neuropathy (DPN), a leading cause of diabetic foot disorders and...

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Bibliographic Details
Published in:Journal of diabetes research 2016-01, Vol.2016, p.2172106-2
Main Authors: McKay, Gareth J., Teo, Boon Wee, Zheng, Ying-Feng, Sambamoorthi, Usha, Sabanayagam, Charumathi
Format: Article
Language:English
Subjects:
Animals
Atherosclerosis
Binding sites
Biomarkers
Biomarkers - blood
Chronic illnesses
Creatinine
Diabetes
Diabetic Angiopathies - blood
Diabetic Angiopathies - etiology
Diabetic Angiopathies - genetics
Diabetic retinopathy
Genes
Genetic Predisposition to Disease
Humans
Inflammation
Inflammation Mediators - blood
Kidney diseases
Low income groups
Microvessels - metabolism
Phenotype
Predictive Value of Tests
Prognosis
Risk Assessment
Risk Factors
Studies
Tea
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Summary:Persons with diabetes are at increased risk of developing microvascular complications such as diabetic retinopathy (DR), a leading cause of blindness, diabetic nephropathy (DN), a leading cause of renal failure, and diabetic peripheral neuropathy (DPN), a leading cause of diabetic foot disorders and lower limb amputations, and all are major causes of morbidity and deaths. The study findings if confirmed in prospective studies with larger sample size suggest regular Chinese green tea consumption may offer a cheap and easy-to-operate approach for preventing DR in low-income countries. The in silico analysis identified 96 plausible candidates from previously published literature which following de novo verification in plasma samples from persons with diabetes identified 11 proteins showing significant differences and a final 4-protein multimarker panel including ITIH2, APOA4, C7, and CLU significantly improved the risk prediction models between no DR and both proliferative and nonproliferative DR. The proposed systematic bioinformatics and de novo proteomic analysis pipeline has identified novel biomarkers associated with DR with strong discriminatory power offering future potential for clinical utility.
ISSN:2314-6745
2314-6753
DOI:10.1155/2016/2172106