E-ISSN 2583-7761
 

Review Article
Online Published: 04 Mar 2024
 


The classical Biomarkers to Predict Diabetes Mellitus

Junapudi Sunil, Yasodha Krishna Janapati, Syam Sundar Junapudi.


Cited By:2

Abstract
Diabetes mellitus is metabolic disorders; depicted by elevated blood glucose levels ascribed to a futile, scanty or sojourns production of insulin. Enduring complications of the disease have been related to peripheral vascular problems, steering to cardiovascular diseases, stroke, diabetic retinopathy, nephropathy and foot. Precise monitoring of these complications and early therapy stages will allow improvement in prevention and treatment approaches. The availability of measurable, accurate and reproducible biomarkers allow the patient to receive timely enactment of personalized therapies and circumventing harmful blood sugar fluctuations that ultimately progress to life-threatening impediments. Profound knowledge of these biomarkers released by extracellular vesicles in metabolic diseases and other disease condition may guide the development of novel therapeutic approaches to restore the affected pathogenesis, rather than merely treating the symptoms.
With advent of method that can isolate (ultracentrifugation, affinity-based capture, size exclusion chromatography/filtration, polymer precipitation) and characterize (protein quantification, transmission electron microscopy, atomic force microscopy, ELISA, nanoparticles tracking analysis, flow cytometry, western blot) from body fluids have become a major diagnostic and prognostic biomarkers not only in diabetes, in other conditions like cancer, neurodegradative disease.

Key words: Biomarkers, diabetes mellitus, blood glucose, metabolic diseases


 
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How to Cite this Article
Pubmed Style

Sunil J, Janapati YK, Junapudi SS. The classical Biomarkers to Predict Diabetes Mellitus. A-JMRHS . 2024; 2(1): 5-8. doi:10.5455/AJMRHS.1107202300018


Web Style

Sunil J, Janapati YK, Junapudi SS. The classical Biomarkers to Predict Diabetes Mellitus. https://www.ajmrhs.com/?mno=192785 [Access: August 17, 2025]. doi:10.5455/AJMRHS.1107202300018


AMA (American Medical Association) Style

Sunil J, Janapati YK, Junapudi SS. The classical Biomarkers to Predict Diabetes Mellitus. A-JMRHS . 2024; 2(1): 5-8. doi:10.5455/AJMRHS.1107202300018



Vancouver/ICMJE Style

Sunil J, Janapati YK, Junapudi SS. The classical Biomarkers to Predict Diabetes Mellitus. A-JMRHS . (2024), [cited August 17, 2025]; 2(1): 5-8. doi:10.5455/AJMRHS.1107202300018



Harvard Style

Sunil, J., Janapati, . Y. K. & Junapudi, . S. S. (2024) The classical Biomarkers to Predict Diabetes Mellitus. A-JMRHS , 2 (1), 5-8. doi:10.5455/AJMRHS.1107202300018



Turabian Style

Sunil, Junapudi, Yasodha Krishna Janapati, and Syam Sundar Junapudi. 2024. The classical Biomarkers to Predict Diabetes Mellitus. Asian Journal of Medical Research & Health Sciences (A-JMRHS), 2 (1), 5-8. doi:10.5455/AJMRHS.1107202300018



Chicago Style

Sunil, Junapudi, Yasodha Krishna Janapati, and Syam Sundar Junapudi. "The classical Biomarkers to Predict Diabetes Mellitus." Asian Journal of Medical Research & Health Sciences (A-JMRHS) 2 (2024), 5-8. doi:10.5455/AJMRHS.1107202300018



MLA (The Modern Language Association) Style

Sunil, Junapudi, Yasodha Krishna Janapati, and Syam Sundar Junapudi. "The classical Biomarkers to Predict Diabetes Mellitus." Asian Journal of Medical Research & Health Sciences (A-JMRHS) 2.1 (2024), 5-8. Print. doi:10.5455/AJMRHS.1107202300018



APA (American Psychological Association) Style

Sunil, J., Janapati, . Y. K. & Junapudi, . S. S. (2024) The classical Biomarkers to Predict Diabetes Mellitus. Asian Journal of Medical Research & Health Sciences (A-JMRHS), 2 (1), 5-8. doi:10.5455/AJMRHS.1107202300018





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