Associations of Glucose Metabolism Status with Brain Macrostructure and Microstructure: Findings from the UK Biobank

Author:

Li Ruyi1,Geng Tingting12ORCID,Li Lin1,Lu Qi1ORCID,Li Rui1,Chen Xue1,Ou Yunjing1,Liu Sen1,Lin Xiaoyu1,Tian Qingying1,Qiu Zixin1,Zhu Kai1,Tang Ziyue1,Yang Kun3,Pan An4ORCID,Liu Gang1ORCID

Affiliation:

1. Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , China

2. Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University , Shanghai , China

3. Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine , Shiyan , China

4. Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology , Wuhan , China

Abstract

Abstract Context Evidence linking glucose metabolism status with brain macro- and microstructure is limited and inconsistent. Objective We aim to investigate the associations of glucose metabolism status with brain macrostructure and microstructure, including brain volumes, subcortical gray matter volumes, and white matter microstructural metrics. Methods This study enrolled 29 251 participants from the UK Biobank. Glucose metabolism status was classified into normal glucose metabolism (NGM), prediabetes, type 2 diabetes (T2D) with HbA1c <7%, and T2D with HbA1c ≥7%. Brain macrostructural metrics included volumes of total and subcortical gray matter, white matter, white matter hyperintensity (WMH), cerebrospinal fluid, and brain stem. Brain microstructural metrics included fractional anisotropy (FA) and mean diffusivity in white matter tracts. Multivariable linear regression models were used to estimate β values and 95% CI. Results After multivariable adjustment including demographic and lifestyle factors, medical history, and total intracranial volume, those with prediabetes had smaller total and subcortical gray matter volumes than participants with NGM, while atrophy of total and subcortical gray matter was more pronounced in those with T2D (all P trend < .05). Moreover, participants with T2D had larger volumes of white matter and WMH (both P trend < .05). For brain microstructure, participants with prediabetes had lower FA values in commissural fibers (β −0.04; 95% CI −0.08, −0.003). Global and tract-specific microstructural abnormalities of white matter were observed in participants with T2D, especially for T2D with HbA1c ≥ 7% (all P trend < .05), except for FA values in projection fibers. Conclusion These findings suggest that interventions for hyperglycemia at an earlier stage may help protect brain health.

Funder

National Natural Science Foundation of China

Hubei Province Science Fund for Distinguished Young Scholars

Fundamental Research Funds for the Central Universities

Publisher

The Endocrine Society

Subject

Biochemistry (medical),Clinical Biochemistry,Endocrinology,Biochemistry,Endocrinology, Diabetes and Metabolism

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