Detecting Sarcopenia Risk by Diabetes Clustering: A Japanese Prospective Cohort Study.

Hayato TanabeHiroyuki HiraiHaruka SaitoKenichi TanakaHiroaki MasuzakiJunichiro J KazamaMichio Shimabukuro

Published in: The Journal of clinical endocrinology and metabolism (2022)

This study reveals that among the 5 diabetes clusters, the SAID and SIDD clusters are at a high risk for developing sarcopenia. Clustering-based stratification may be beneficial for predicting and preventing sarcopenia in patients with diabetes.

Keyphrases

skeletal muscle
type diabetes
cardiovascular disease
glycemic control
community dwelling
single cell
rna seq
adipose tissue