The effect of Alzheimer’s disease risk factors on brain aging in normal Chineses: Cognitive aging and cognitive reserve

Wang, Mengxue; Ren, Qiangqiang; Shi, Yachen; Sheng, Hao; Liu, Duan; Gu, Lihua; Xie, Chunming; Zhang, Zhijun; Wu, Tiange; Wang, Zan

doi:10.1016/j.neulet.2021.136398

Cited by 11 publications

(4 citation statements)

References 42 publications

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“…In one such study, years of education, a characteristic that is considered modifiable at the population level, 6 was found to be associated with lower BAG. 11 In another larger study, no significant association between lifestyle (alcohol consumption, smoking behaviour and physical activity level) and BAG was found. 12 …”

Section: Introductionmentioning

confidence: 90%

Brain structure and connectivity mediate the association between lifestyle and cognition: The Maastricht Study

DeJong,

Jansen,

van Boxtel

et al. 2024

Brain Communications

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Life-course exposure to risk and protective factors impacts brain macro- and micro-structure, which in turn affects cognition. The concept of Brain Age Gap (BAG) assesses brain health by comparing an individual’s neuroimaging-based predicted age with their calendar age. Higher BAG implies accelerated brain aging and is expected to be associated with worse cognition. In this study, we comprehensively modelled mutual associations between brain-health and lifestyle factors, brain age, and cognition in a large, middle-aged population. For this study, cognitive test scores, lifestyle, and 3T MRI data for n=4881 participants (mean age (±SD) = 59.2 (±8.6), 50.1% male) were available from The Maastricht Study, a population-based cohort study with extensive phenotyping. Whole brain volumes (grey matter (GM), cerebrospinal fluid (CSF), white matter hyperintensity (WMH)), cerebral microbleeds (CMB), and structural white matter connectivity were calculated. Lifestyle factors were combined into an adapted LIfestyle for BRAin health (LIBRA) weighted sum score, with higher score indicating greater dementia risk. Cognition was calculated by averaging z-scores across three cognitive domains (memory, information processing speed, executive function and attention). BAG was calculated by comparing calendar age to predictions from a neuroimaging-based multivariable regression model. Paths between LIBRA tertiles, BAG and cognitive function were tested using linear regression and structural equation modelling, adjusting for sociodemographic and clinical confounders. Results show that CSF, GM, WMH and CMB best predicted BAG (R2 = 0.455, RMSE = 6.44). In regression analysis, higher LIBRA scores (greater dementia risk) were associated with higher BAG (standardized regression coefficient ß = 0.126, p < 0.001) and worse cognition (ß = -0.046, p = 0.013), while higher BAG was associated with worse cognition (ß=-0.163, p<0.001). In mediation analysis, 24.7% of the total difference in cognition between the highest and lowest LIBRA tertile was mediated by BAG (ßindirect = -0.049, p < 0.001; ßtotal = -0.198, p < 0.001), and an additional 3.8% was mediated via connectivity (ßindirect = -0.006, p < 0.001; ßtotal = -0.150, p < 0.001). Findings suggest that associations between health- and lifestyle-based risk/protective factors (LIBRA) and cognition can be partially explained by structural brain health markers (BAG) and white matter connectivity markers. Lifestyle interventions targeted at high-risk individuals in mid to late life may be effective in promoting and preserving cognitive function in the general public.

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Section: Introductionmentioning

confidence: 90%

Brain structure and connectivity mediate the association between lifestyle and cognition: The Maastricht Study

DeJong,

Jansen,

van Boxtel

et al. 2024

Brain Communications

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“…Many studies have used sMRI as the basis for exploring biomarkers related to SCD ( Figure 1 ). By comparing the differences between the brain and actual age, it can better predict the progression from SCD to AD ( Wang M. et al, 2022 ; Wang et al, 2023 ).…”

Section: Brain Structure Changes In Scdmentioning

confidence: 99%

Multimodal magnetic resonance imaging on brain structure and function changes in subjective cognitive decline: a mini-review

Yue,

Han,

et al. 2023

Front. Aging Neurosci.

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Subjective cognitive decline (SCD) is the initial stage of Alzheimer’s disease (AD). Early identification of SCD and its risk factors is of great importance for targeted interventions and for delaying the onset of AD. We reviewed the relevant literature on structural magnetic resonance imaging (sMRI), diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), and other techniques regarding SCD research in recent years. This study applied sMRI and fMRI techniques to explore abnormal brain structures and functions, which may help provide a basis for SCD diagnosis.

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“…Alzheimer’s disease (AD) is a progressive neurodegenerative disease associated with structural changes in the brain that reflect advanced aging ( Wang et al, 2022 ). Mild cognitive impairment (MCI) is considered an intermediate stage between normal aging and dementia.…”

Section: Introductionmentioning

confidence: 99%

Chaihu Shugan San ameliorated cognitive deficits through regulating gut microbiota in senescence-accelerated mouse prone 8

Zeng

et al. 2023

Front. Pharmacol.

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Background: Traditional Chinese medicines exhibit promising preventive effects on Alzheimer’s disease. Chaihu Shugan San (CSS) is a well-known traditional herbal formula whose several kinds of ingredients have the potential of ameliorating Alzheimer’s disease. The present study aimed to evaluate the effects of CSS on the microbiota–gut–brain axis and cognitive deficits of senescence-accelerated mouse prone 8 (SAMP8) mice as well as investigate the underlying mechanisms.Methods: Thirty 5-month-old SAMP8 mice were randomly divided into the model group (SAMP8), CSS low-dose treatment group (CSSL), and CSS high-dose treatment group (CSSH). Ten SAMR1 mice were used as the normal control, and ten SAMP8 mice treated with donepezil were used as the positive control of cognitive function. CSS was orally administrated to SAMP8 mice for 8 weeks. The Morris water maze test was used to evaluate cognitive function. Histological staining was used to observe neuronal injury and Aβ deposition. Transmission electron microscopy was used to observe the synaptic ultrastructure. 16S rRNA gene analysis was performed to measure the changes in intestinal microbiota.Results: The results showed that CSS significantly improved the learning function and memory deficits of aged SAMP8 mice in the Morris water maze examination. CSS ameliorated neuronal injury, synaptic injuries, and Aβ deposition in the brain of SAMP8 mice. In addition, CSS also significantly improved microbiota composition in terms of elevating Lactobacillus reuteri and decreasing Staphylococcus xylosus in the feces of aged SAMP8 mice.Conclusion: These findings suggested that CSS might have a preventive potential for cognitive deficits in aging through regulating gut microbiota, which paved the way for the application of CSS for prevention and therapeutic purposes for mild cognitive impairment as well as Alzheimer’s disease.

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The effect of Alzheimer’s disease risk factors on brain aging in normal Chineses: Cognitive aging and cognitive reserve

Cited by 11 publications

References 42 publications

Brain structure and connectivity mediate the association between lifestyle and cognition: The Maastricht Study

Brain structure and connectivity mediate the association between lifestyle and cognition: The Maastricht Study

Multimodal magnetic resonance imaging on brain structure and function changes in subjective cognitive decline: a mini-review

Chaihu Shugan San ameliorated cognitive deficits through regulating gut microbiota in senescence-accelerated mouse prone 8

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