Clonal hematopoiesis as a novel risk factor for type 2 diabetes mellitus in patients with hypercholesterolemia

Min Joo Kim1,2, Han Song3, Youngil Koh2,3

  • 1Department of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea.

PubMed

Insights

Clonal hematopoiesis of indeterminate potential (CHIP) increases the risk of developing type 2 diabetes, particularly when combined with high LDL cholesterol. This finding highlights a synergistic effect between CHIP and hyper-LDL cholesterolemia in diabetes development.

Area of Science:

  • Hematology
  • Endocrinology
  • Cardiovascular Science

Background:

  • Clonal hematopoiesis of indeterminate potential (CHIP) is linked to cardiovascular disease.
  • Previous research suggests a potential connection between CHIP and diabetes.
  • This study investigates the association between CHIP and the development of type 2 diabetes.

Purpose of the Study:

  • To determine if CHIP is associated with an increased risk of new-onset type 2 diabetes.
  • To explore the interaction between CHIP and LDL cholesterol levels in diabetes risk.

Main Methods:

  • A cohort of 4,047 participants aged 40 years or older without diabetes was studied.
  • Targeted gene sequencing was used to identify CHIP in peripheral blood cells.
  • New-onset type 2 diabetes incidence was monitored during a median follow-up of 5.1 years.

Main Results:

  • CHIP was identified in 15.7% of the subjects.
  • New-onset diabetes occurred more frequently in CHIP carriers (11.8%) compared to non-carriers (9.1%).
  • CHIP significantly increased diabetes risk in individuals with hyper-LDL cholesterolemia (HR 1.64), but not in those without it. The combined risk for CHIP and hyper-LDL cholesterolemia was substantially elevated (HR 2.05).

Conclusions:

  • CHIP is a significant risk factor for new-onset type 2 diabetes.
  • The risk is particularly pronounced in individuals with high LDL cholesterol, indicating a synergistic effect.
  • These findings underscore the importance of considering CHIP and lipid profiles in diabetes risk assessment.
Abstract

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