The classical Biomarkers to Predict Diabetes Mellitus

Authors

  • Junapudi Sunil Department of Pharmaceutical Chemistry, Geethanjali College of Pharmacy, Keesara, MedchalMalkajgiri District, Telangana, India- 501301. Author
  • Yasodha Krishna Janapati School of Pharmacy & Health Sciences, United States International University – Africa P.O. Box 14634 – 00800, Nairobi, Kenya. Author
  • SyamSundar Junapudi Department of Community Medicine, Govt Medical College mahabubabad, Telangana, India-506101. Author

Keywords:

Biomarkers, diabetes mellitus, blood glucose, metabolic diseases.

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.

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Published

04-04-2024

How to Cite

The classical Biomarkers to Predict Diabetes Mellitus. (2024). Asian Journal of Medical Research and Health Sciences, 2(01), 5-8. https://www.ajmrhs.com/journal/article/view/172

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