Why does diabetes affect brain structure? — Quan Zhang and Feng Liu’s team at Tianjin Medical University General Hospital uncovers the underlying genetic mechanisms
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Sep-2025 05:11 ET (22-Sep-2025 09:11 GMT/UTC)
Recently, the team led by Chief Physician Quan Zhang and Associate Professor Feng Liu at Tianjin Medical University General Hospital systematically evaluated the genetic associations between type 2 diabetes mellitus and subcortical brain structures using large-scale genome-wide association summary statistics and advanced statistical genetic methods. The related findings were published in Research under the title "Genome-wide pleiotropy analysis reveals shared genetic associations between type 2 diabetes mellitus and subcortical brain volumes".
IVD is a key enzyme in leucine catabolism, catalyzing the conversion of isovaleryl-CoA to 3-methylcrotonyl-CoA. Defects in IVD function lead to toxic accumulation of metabolites such as isovaleric acid, resulting in isovaleric acidemia (IVA)—a life-threatening autosomal recessive disorder characterized by vomiting, metabolic acidosis, and neurological damage. Although IVD gene mutations are known to cause IVA, the enzyme's structural dynamics and complex substrate-binding mechanisms have long hindered precise mechanistic studies.
Among various technologies, anion exchange membrane water electrolysis (AEMWE) has emerged as a major research focus due to its significant cost advantages and commercialization potential. By utilizing non-precious metal electrocatalysts, AEMWE successfully combines the high efficiency of proton exchange membranes with the mature process advantages of conventional alkaline electrolysis, while potentially overcoming their respective technical limitations, demonstrating broad application prospects.
In the context of global aging, maintaining brain health has become a public health priority. Brain age, estimated from MRI data, can deviate from chronological age, indicating accelerated aging. This study, using data from 16,972 UK Biobank participants, objectively measured physical activity (PA) via 7-day wrist-worn accelerometry and linked it to MRI-based brain age models. The analysis uncovered a U-shaped association between PA intensity and brain age gap (BAG), with both low and high levels of PA associated with increased BAG, while moderate MPA and VPA correlated with reduced BAG.
Further analysis revealed that BAG partially mediates the relationship between PA and both cognitive performance and brain disorders. Moderate activity levels were linked to lower BAG and better brain outcomes, driven by structural preservation in key brain regions like the cingulate cortex and striatum. This study, the first to demonstrate such nonlinear associations at scale using objective PA data, highlights the importance of calibrated exercise for brain health and lays the foundation for tailored intervention strategies.