Association Between Metabolic Clusters and Microbial Age in High-Risk Populations for Diabetes and Their Potential Impact on Cardiovascular Disease Risk: Cross-Sectional Observational Study - Summary - MDSpire

Link Between Metabolic Profiles and Microbial Age in High-Risk Diabetes Populations and Their Possible Influence on Cardiovascular Disease Risk: A Cross-Sectional Observational Analysis

  • By

  • Lu Xinlin

  • Hongli Gu

  • Ren Li

  • Xianjun Mao

  • Can Chen

  • May 26, 2026

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Objective:

To explore the characteristics and interrelationships between metabolic clusters (MCs) and microbial age (MA) in high-risk populations with diabetes.

Key Findings:
  • Diabetes is associated with metabolic disorders that increase CVD risk.
  • Gut microbiota composition reflects the host's biological age and may influence metabolic functions.
Interpretation:

Limitations:
  • The study is based on secondary analysis of existing data, which may limit the scope of findings.
  • The focus on healthy states may not capture the full spectrum of metabolic and microbiome interactions during illness.
Conclusion:

The study aims to deepen understanding of the relationship between metabolism and microbiota in high-risk populations with diabetes.

Original Source(s)

Association Between Metabolic Clusters and Microbial Age in High-Risk Populations for Diabetes and Their Potential Impact on Cardiovascular Disease Risk: Cross-Sectional Observational Study

  • by Lu Xinlin, Hongli Gu, Ren Li, Xianjun Mao, Can Chen

  • May 26, 2026

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