Diabetes mellitus (DM) is a common chronic metabolic disease, with a prevalence rate of 12.4% in China. The incidence of DM increases with age. Among the elderly population aged 60 and above in China, the prevalence rate of DM reaches 20%. DM has a large population base and is difficult to cure. At the same time,, it is one of the top ten causes of death worldwide. Prolonged exposure to hyperglycemia in DM can lead to various complications, affecting brain structure and function, and increasing the risk of dementia by 1.5 to 2 times, posing a serious threat to health.
Prediabetes (PreD) is a state between normal glucose metabolism (NGM) and DM. There is a considerable number of individuals in the PreD stage, with a prevalence rate exceeding 35% among adults in China. On one hand, PreD is a high-risk stage for developing DM, with a 2.5 to 3 times higher risk compared to individuals with normal glucose metabolism. On the other hand, unlike DM, PreD has the potential for reversal. By focusing on the preclinical stage of the disease and exploring the association between PreD, cognitive decline, and brain structural abnormalities, valuable information can be obtained to justify the rationale for targeting PreD as the intervention subjects to prevent DM-related cognitive impairments and brain disorders. This is crucial for mitigating the negative impact of DM.
Currently, the impact of PreD on cognition remains unclear, and there is limited research focusing on the regional distribution of brain structural damage in PreD. Therefore, this study explores the cognition performance of PreD based on neuropsychological tests assessing multiple cognitive domain. Additionally, this study reveals the patterns of gray matter atrophy, white matter atrophy, and white matter microstructural damage in the PreD stage by using multimodal neuroimaging techniques. This study also establishes the association between glucose metabolism status, abnormal brain structure, and cognitive performance.
Participants in the current study were recruited from the Beijing Aging Brain Rejuvenation Initiative (BABRI) community clinical cohort, including 78 NGM individuals (30M/48F, age: 65.462 ± 6.722 years), 92 PreD individuals (34M/58F, age: 66.337±6.091 years), and 108 DM individuals (45M/63F, age: 65.528±6.537 years). There were no significant differences in gender, age, or education level among the three groups of participants. All participants underwent the collection of demographic information, history of disease, a battery of neuropsychological tests, T1-weighted and diffusion tensor imaging scans. glycated hemoglobin(HbA1c) and fasting blood glucose were measured for all non-DM participants. Neuropsychological tests included general cognitive function, attention and processing speed, memory, visuospatial, language and executive function. Tensor indexs used in this study were fractional anisotropy (FA), mean diffusivity (MD), L1 (i.e., axial diffusivity), and L23m (i.e., radial diffusivity).
Chi-square tests or one-way analysis of variance (ANOVA) were used to test the group differences in categorical variables (gender, the history of hypertension, dyslipidemia, and cerebrovascular disease) and continuous variables (the others) in demographic information, history of disease, and clinical indexs. One-way analysis of covariance (ANCOVA) was used to explore group differences in cognitive performance. For brain imaging, ANCOVA was used as the statistical model for whole-brain voxel-based analysis (VBA) to identify clusters with significant group differences in gray matter volume, white matter volume, or white matter microstructure. The mean value of the corresponding index in each cluster was extracted for post-hoc tests. Total intracranial volume (only included in analyzing gray and white matter volume differences), age, gender, education level, history of disease and BMI were included as covariates in ANCOVA, and bonferroni correction was used for post-hoc tests (p<0.05). Mediation analysis was used to investigate the relationships among glucose metabolism, brain structural characteristics and cognitive performance.
The main findings of this study are as follows: (1). In terms of cognitive performance, attention and processing speed is the main cognitive domain affected in PreD. Compared to individuals with normal glucose metabolism and PreD, those in the DM stage showed significant declines in general cognitive function, attention and processing speed, visuospatial, and executive function. There was a gradual decline in various cognitive functions from normal glucose metabolism to PreD and then to DM, except for language function. (2). Regarding gray matter volume, PreD participants exhibited significantly reduced gray matter volume in the right cerebellum, hippocampus, middle cingulate gyrus(GRF corrected,pvoxel<0.005,pcluster<0.05), left middle occipital cortex and middle cingulate gyrus, right lingual gyrus, and bilateral frontal lobes (pvoxel<0.005,cluster size>50) compared to individuals with normal glucose metabolism. DM participants also showed significant atrophy in these regions. Furthermore, compared to PreD, DM participants exhibited further reductions in gray matter volume in the left cerebellum, hippocampus, lingual gyrus, and right middle occipital cortex. (3). In terms of white matter volume, PreD participants showed white matter atrophy mainly in the left middle occipital cortex and right cerebellar peduncle compared to individuals with normal glucose metabolism (pvoxel<0.005, cluster size>50). In the DM stage, widespread white matter atrophy was observed in regions including the posterior thalamic radiation, anterior and posterior corona radiata, internal capsule, external capsule, temporal lobe, and precentral gyrus. (4). Regarding white matter microstructural integrity, PreD participants showed significant white matter microstructural damage in the right cerebellar peduncle(GRF,pvoxel<0.005,pcluster<0.05) and right postcentral gyrus(pvoxel<0.005,cluster size>50), characterized by increased MD、L23m or L1. DM participants exhibited more extensive white matter microstructural damage, including bilateral external capsules, bilateral corpus callosum (genu, body and splenium), and bilateral stria terminalis and thalamus. (5). The mediation analysis results showed that in the non-DM group, the atrophy of the white matter volume of middle occipital cortex mediated the impact of PreD on processing speed. Additionally, within the entire range of glucose metabolism from normal to PreD to DM, diffuse white matter and white matter microstructural damage, rather than gray matter atrophy, mediated the negative effects of increasing HbA1c levels on memory, processing speed, and executive function.
In conclusion, this study found that before the diagnosis of diabetes, a decline in attention and processing speed and localized brain structural abnormalities can already be observed in the PreD stage. These brain structural abnormalities, especially white matter abnormalities, mediate the impact of abnormal glucose metabolism on cognition. Early prevention strategies should be implemented to avoid further brain structural damage and cognitive decline in multiple domains. Intervention during the PreD stage may help prevent the occurrence of diabetes-related complications such as brain diseases and dementia.