Association of serum s-adenosylmethionine, s-adenosylhomocysteine, and their ratio with the risk of dementia and death in a community.

We examined the association of serum s-adenosylmethionine (SAM), s-adenosylhomocysteine (SAH) (methionine metabolites), and their ratio on the risk of dementia and death in a community-dwelling population of older Japanese individuals. 1371 residents of Hisayama, Japan, aged 65 years or older and without dementia, were followed for a median of 10.2 years (2007-2017). We divided serum SAM, SAH, and SAM/SAH ratio into quartiles. Cox proportional hazards models were used to estimate the hazard ratios (HRs) and their 95% confidence intervals (CIs) of serum SAM, SAH, and SAM/SAH ratio levels on the risk of a composite outcome of all-cause dementia or death, and each outcome. During the follow-up, 635 participants developed all-cause dementia and/or died, of which 379 participants developed dementia and 394 deaths occurred. The multivariable-adjusted HRs of the composite outcome decreased significantly with increasing serum SAM levels (P for trend = 0.01), while they increased significantly with higher serum SAH levels (P for trend = 0.03). Higher serum SAM/SAH ratio levels were significantly associated with a lower risk of the composite outcome (P for trend = 0.002), as well as with lower risk of each outcome. Our findings suggest that the balance of methionine metabolites may closely associate with the risk of dementia and death.

Development of a dementia prediction model for primary care: The Hisayama Study.

INTRODUCTION: We aimed to develop a risk prediction model for incident dementia using predictors that are available in primary-care settings. METHODS: A total of 795 subjects aged 65 years or over were prospectively followed-up from 1988 to 2012. A Cox proportional-hazards regression was used to develop a multivariable prediction model. The developed model was translated into a simplified scoring system based on the beta-coefficient. The discrimination of the model was assessed by Harrell's C statistic, and the calibration was assessed by a calibration plot. RESULTS: During the follow-up period, 364 subjects developed dementia. In the multivariable model, age, female sex, low education, leanness, hypertension, diabetes, history of stroke, current smoking, and sedentariness were selected as predictors. The developed model and simplified score showed good discrimination and calibration. DISCUSSION: The developed risk prediction model is feasible and practically useful in primary-care settings to identify individuals at high risk for future dementia.

Differential neural network of checking versus washing symptoms in obsessive-compulsive disorder.

Obsessive-compulsive disorder (OCD) is clinically heterogeneous. The aim of this study was to investigate differential neural responses to a symptom provocation task in drug-free patients who have predominantly aggression/checking symptoms (Checkers) and patients with contamination/washing symptoms (Washers). We compared the Checkers (n=10) and the Washers (n=12) separately to normal controls during the symptom provocation tasks using fMRI (functional magnetic resonance imaging). Moreover, we performed correlative analysis in each OCD group between brain activation and symptom severity. The Checkers showed hypoactivation in the left caudate and left anterior cingulate cortex (ACC) compared to the normal controls and a positive correlation between activated brain areas and symptom severity in the left ACC. The Washers showed hyperactivation in several bilateral cortico-cerebellar regions and a positive correlation between symptom severity and the bilateral fronto-temporal gyrus. We suggest that the caudate and ACC are associated with checking rituals and that large cortical brain regions are related to washing rituals.