Login / Signup

Etiologies underlying subtypes of long-standing type 2 diabetes.

Riad BayoumiMuhammad FarooqiFatheya AlawadiMohamed HassaneinAya OsamaDebasmita MukhopadhyayFatima AbdulFatima SulaimanStafny DsouzaFahad MullaFayha AhmedMouza AlSharhanAmar Hassan Khamis
Published in: PloS one (2024)
Despite the complex picture of long-standing T2D with comorbidities and complications, our study demonstrates the feasibility of identifying subtypes and their underlying causes. While clustering provides valuable insights into the architecture of T2D subtypes, its application to individual patient management would remain limited due to overlapping characteristics. Therefore, integrating simplified, personalized metabolic profiles with clustering holds greater promise for guiding clinical decisions than subtyping alone.
Keyphrases
  • type diabetes
  • single cell
  • rna seq
  • case report
  • risk factors
  • big data
  • metabolic syndrome
  • deep learning