The Link Between Accelerated Biological Aging and the Inverse Relationship of Live Microbe Consumption with Diabetic Retinopathy in US Patients with Diabetes - Takeaways - MDSpire
Coming Soon: Introducing MDSpire News. Learn more
Conexiant’s news site is now MDSpire News. Learn more

The Link Between Accelerated Biological Aging and the Inverse Relationship of Live Microbe Consumption with Diabetic Retinopathy in US Patients with Diabetes

  • By

  • Yining Zeng

  • Xiyue Tan

  • Hao Wu

  • Ruixia Wang

  • Yuxia Liu

  • Xueting Wang

  • Junguo Duan

  • February 28, 2026

Share

  • 1

    Diabetic retinopathy affects 20–30% of diabetic patients and is a leading cause of blindness, necessitating preventive strategies beyond current interventions.

  • 2

    The gut microbiota is linked to ocular diseases, with dietary live microbes potentially mitigating metabolic dysfunction and influencing diabetic retinopathy risk.

  • 3

    Accelerated biological aging, measured by PhenoAge and KDM-BA, may mediate the relationship between dietary live microbe intake and microvascular damage.

  • 4

    The study analyzed NHANES data from 2279 participants to explore the connections between dietary microbes, biological aging, and diabetic retinopathy.

  • 5

    Findings aim to provide insights into the eye-gut axis and dietary guidance for preventing diabetic retinopathy in patients with diabetes.

Original Source(s)

The Link Between Accelerated Biological Aging and the Inverse Relationship of Live Microbe Consumption with Diabetic Retinopathy in US Patients with Diabetes

  • by Yining Zeng, Xiyue Tan, Hao Wu, Ruixia Wang, Yuxia Liu, Xueting Wang, Junguo Duan

  • February 28, 2026

Related Content

Prevalence and predictors of silent vertebral compression fractures using DXA: a UK Biobank Imaging Study

NNS beverages may match water in weight control

Adults assigned to nonnutritive sweetened beverages or water maintained weight reductions through 104 weeks, with no statistically significant difference between groups.

Sex, Age, and Tumor Genetics to Inform Risk Stratification in Papillary Thyroid Cancer