Background: Late-onset Alzheimer’s disease (LOAD) is a complex disease in which neuroinflammation plays an important pathophysiological role, and exposure to neurotoxic substrates such as aldehydes may contribute. Blood mRNA expression levels of neuroinflammation-related genes appear to be potential biological markers of LOAD. A relationship between ALDH2 and LOAD has been suggested. Objective: Our objective was to examine blood ALDH2 expression in Japanese LOAD patients, conduct a genetic association study, and add new studies to an extended meta-analysis of the Asian population. Methods: A blood expression study (45 AD subjects, 54 controls) in which total RNA was isolated from whole peripheral blood samples and ALDH2 expression measured was conducted. In addition, a genetic association study (271 AD subjects, 492 controls) using genomic DNA from whole peripheral blood samples was conducted. Finally, a meta-analysis examined the relationship between ALDH2*2 frequency and the risk of LOAD. Results: ALDH2 mRNA expression was significantly higher in LOAD than in controls, and also higher in men with LOAD than in women with LOAD (p = 0.043). The genotypes in the two classified groups and the allele frequency were significantly different between AD and control subjects. The meta-analysis showed a significant difference in the ALDH2*2 allele, with an increased AD risk (OR = 1.38; 95% CI = 1.02–1.85; p = 0.0348, I2 = 81.1%). Conclusion: There was a significant increase in blood ALDH2 expression, and a genetic association with ALDH2*2 in LOAD. ALDH2 may have significant roles in the pathogenesis of LOAD in the Asian population.

Alzheimer's disease (AD) is a progressive disease, and the number of AD patients is increasing every year as the population ages. One of the pathophysiological mechanisms of AD is thought to be the effect of metabolomic abnormalities. There have been several studies of metabolomic abnormalities of AD, and new biomarkers are being investigated. Metabolomic studies have been attracting attention, and the aim of this study was to identify metabolomic biomarkers associated with AD and mild cognitive impairment (MCI). Of the 927 participants in the Nakayama Study conducted in Iyo City, Ehime Prefecture, 106 were selected for this study as Control (n = 40), MCI (n = 26), and AD (n = 40) groups, matched by age and sex. Metabolomic comparisons were made across the three groups. Then, correlations between metabolites and clinical symptoms were examined. The blood mRNA levels of the ornithine metabolic enzymes were also measured. Of the plasma metabolites, significant differences were found in ornithine, uracil, and lysine. Ornithine was significantly decreased in the AD group compared to the Control and MCI groups (Control vs. AD: 97.2 vs. 77.4; P = 0.01, MCI vs. AD: 92.5 vs. 77.4; P = 0.02). Uracil and lysine were also significantly decreased in the AD group compared to the Control group (uracil, Control vs. AD: 272 vs. 235; P = 0.04, lysine, Control vs. AD: 208 vs. 176; P = 0.03). In the total sample, the MMSE score was significantly correlated with lysine, ornithine, thymine, and uracil. The Barthel index score was significantly correlated with lysine. The instrumental activities of daily living (IADL) score were significantly correlated with lysine, betaine, creatine, and thymine. In the ornithine metabolism pathway, the spermine synthase mRNA level was significantly decreased in AD. Ornithine was decreased, and mRNA expressions related to its metabolism were changed in the AD group compared to the Control and MCI groups, suggesting an association between abnormal ornithine metabolism and AD. Increased betaine and decreased methionine may also have the potential to serve as markers of higher IADL in elderly persons. Plasma metabolites may be useful for predicting the progression of AD.

Background The number of dementia patients is increasing worldwide, especially in Japan, which has the world's highest ageing population. The increase in the number of older people with dementia is a medical and socioeconomic problem that needs to be prevented, but the actual situation is still not fully understood. Methods Four cross‐sectional studies on dementia were conducted in 1997, 2004, 2012, and 2016 for complete enumeration of all residents aged 65 years and older. We examined the secular trends in the prevalence of all‐cause dementia, Alzheimer's disease (AD), vascular dementia (VaD), and other/unclassified dementia. Results The age‐standardised prevalence of all‐cause dementia significantly increased (4.5% in 1997, 5.7% in 2004, 5.3% in 2012, 9.5% in 2016; P for trend <0.05). Similar trends were observed for AD (1.7%, 3.0%, 2.5% and 4.9%, respectively; P for trend <0.05) and other/unclassified dementia (0.8%, 1.0%, 1.0% and 2.2%, respectively; P for trend <0.05), whereas no significant change in VaD was seen (2.1%, 1.8%, 1.8%, 2.4%, respectively; P for trend = 0.77). The crude prevalence of all‐cause dementia and AD increased from 1997 to 2016 among participants aged 75–79 years and ≥85 years (all P for trend <0.05). Similar trends were observed for other/unclassified dementia among participants aged ≥80 years (all P for trend <0.05), but not in VaD. Conclusions The prevalence of dementia has increased beyond the ageing of the population, suggesting that factors in addition to ageing are involved in the increase in the number of older people with dementia. To control the increase in the number of older people with dementia, elucidation of secular trends in the incidence, mortality, and prognosis of dementia as well as the factors that promote and protect against dementia, and development of preventive strategies are necessary.

Background Enlarged perivascular spaces (EPVS) of the brain may be involved in dementia, such as Alzheimer’s disease and cerebral small vessel disease (CSVD). Hypertension has been reported to be a risk factor for dementia and CSVD, but the association between blood pressure (BP) and perivascular spaces is still unclear. The aim of this study was to determine the association between BP and EPVS volumes and to examine the interactions of relevant factors. Methods A total of 9296 community-dwelling subjects aged ≥65 years participated in a brain magnetic resonance imaging and health status screening examination. Perivascular volume was measured using a software package based on deep learning that was developed in-house. The associations between BP and EPVS volumes were examined by analysis of covariance and multiple regression analysis. Results Mean EPVS volumes increased significantly with rising systolic and diastolic BP levels ( P for trend = .003, P for trend<.001, respectively). In addition, mean EPVS volumes increased significantly for every 1-mmHg-increment in systolic and diastolic BPs (both P values <.001). These significant associations were still observed in the sensitivity analysis after excluding subjects with dementia. Conclusions The present data suggest that higher systolic and diastolic BP levels are associated with greater EPVS volumes in cognitively normal older people.

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