Personalized medicine for management of diabetic complications

Shareen Singh, Thakur Gurjeet Singh, Ashish Kumar Rehni, Kunal Dhiman, Shamsher Singh

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Diabetes prevalence is epidemically increasing with approximately affecting 382 million individuals. Personalized medicine provides the possibility of diagnosis of patients by means of a scientific profiling of genomics, proteomics, and metabolomics. The scientific advancement in laboratory science is used to measure genotype and phenotype which has been established in the anticipated likelihood of diabetes incidence and its complications for individuals as a whole for 80 genetic loci or 1 000 genes. The various genes like HNF4A, GCK, HNF1A, KCNJ11 etc., have been identified to be mutated are involved in the pathogenesis of diabetes. The various metabolomics like malonyl CoA decarboxylase, (PPAR)-α, CPT1 as biomarkers suggesting an informative diagnosis for the susceptibility of diabetes and its complications. In the pharmacogenomics studies, quantification of the genetic or proteomic factors of diabetic patients provides information on drug-gene interactions respectively. Thus, the personalized medicine encourages the prescription of suitable drug treatment that is safe and effective for the diabetes patients. Therefore, the current chapter is providing information on genetic variants or mechanism of polymorphism for anti-diabetic drugs representing variations in drug responses in diabetic patients. Therefore, the personalized medicine is considered as prior treatment strategies for the management of the diabetes and their complications in patients.

Original languageEnglish (US)
Title of host publicationDiabetes and Diabetic Complications
Subtitle of host publicationCurrent Status and Future Prospective
PublisherNova Science Publishers, Inc.
Pages367-376
Number of pages10
ISBN (Electronic)9781536194531
ISBN (Print)9781536191776
StatePublished - Mar 23 2021

Keywords

  • And metabolomics
  • Diabetes mellitus
  • Genetic variants
  • Personalized medicine
  • Pharmacogenomics
  • Proteomics

ASJC Scopus subject areas

  • Medicine(all)

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