The Change in Circadian Rhythms in P301S Transgenic Mice is Linked to Variability in Hsp70-related Tau Disaggregation.

Circadian disruption often involves a neurodegenerative disorder, such as Alzheimer's disease or frontotemporal dementia, which are characterized by intraneuronal tau accumulations. The altered sleep pattern and diurnal rhythms in these disorders are the results of tau pathology. The circadian disturbance in reverse is thought to develop and potentially aggravate the condition. However, the underlying mechanism is not fully understood. In this study, perturbed oscillations in BMAL1 , the core clock gene, were observed in P301S tau transgenic mice. Tau fractionation analysis of the hippocampus revealed profound fluctuations in soluble and insoluble tau protein levels that were in opposite directions to each other according to zeitgeber time. Interestingly, a diurnal oscillation was detected in the heat shock 70 kDa protein 1A (Hsp70) chaperone that was in-phase with soluble tau but out-of-phase with insoluble tau. Tau protein levels decreased in the soluble and insoluble fractions when Hsp70 was overexpressed in HEK293T cells. Transfection of the BMAL1 carrying vector was continual with the increase in Hsp70 expression and diminished tau protein levels, and it was effectively attenuated by the knockdown of Hsp70, suggesting that Bmal1 could modulate tau protein by Hsp70. Our results suggest that altered circadian oscillations affect tau status and solubility by modulating Hsp70 expression in an experimental model of tau pathology. These findings suggest Hsp70 as a possible pathogenic link between circadian disruption and aggravations of tau pathology.

miRNA sensing hydrogels capable of self-signal amplification for early diagnosis of Alzheimer's disease.

Alzheimer's disease (AD), one of the leading senile disorders in the world, causes severe memory loss and cognitive impairment. To date, there is no clear cure for AD. However, early diagnosis and monitoring can help mitigate the effects of this disease. In this study, we reported a platform for diagnosing early-stage AD using microRNAs (miRNAs) in the blood as biomarkers. First, we selected an appropriate target miRNA (miR-574-5p) using AD model mice (4-month-old 5XFAD mice) and developed a hydrogel-based sensor that enabled high-sensitivity detection of the target miRNA. This hydrogel contained catalytic hairpin assembly (CHA) reaction-based probes, leading to fluorescence signal amplification without enzymes and temperature changes, at room temperature. This sensor exhibited high sensitivity and selectivity, as evidenced by its picomolar-level detection limit (limit of detection: 1.29 pM). Additionally, this sensor was evaluated using the plasma of AD patients and non-AD control to validate its clinical applicability. Finally, to use this sensor as a point-of-care-testing (POCT) diagnostic system, a portable fluorometer was developed and verified for feasibility of application.

Facility-based and home-based multidomain interventions including cognitive training, exercise, diet, vascular risk management, and motivation for older adults: a randomized controlled feasibility trial.

We aimed to evaluate the feasibility of multidomain intervention (MI) tailored to the Korean context. In an outcome assessor-blinded, randomized controlled trial, participants without dementia and with one or more modifiable dementia risk factors, aged 60-79 years, were randomly assigned to the facility-based MI (FMI; n=51), the home-based MI (HMI; n=51), or the control group receiving general health advice (n=50). The 24-week intervention comprised vascular risk management, cognitive training, social activity, physical exercise, nutrition guidance, and motivational enhancement. The FMI participants performed all intervention programs at a facility three times a week. The HMI participants performed some programs at a facility once every 1-2 weeks and performed others at home. The primary outcome was feasibility measured through retention, adherence, and at least no differences from the control group in the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). In the FMI and HMI groups, the retention rates were 88.2% and 96.1%, and adherence to the intervention was 94.5% and 96.8%, respectively. The RBANS total scale index score improved significantly in the FMI (5.46 ± 7.50, P = 0.004) and HMI (5.50 ± 8.14, P = 0.004) groups compared to the control group (-0.74 ± 11.51). The FMI and HMI are feasible and there are indicators of efficacy.

New fluid biomarkers tracking non-amyloid-ß and non-tau pathology in Alzheimer's disease.

Cerebrospinal fluid (CSF) biomarkers based on the core pathological proteins associated with Alzheimer's disease (AD), i.e., amyloid-ß (Aß) and tau protein, are widely regarded as useful diagnostic biomarkers. However, a lack of biomarkers for monitoring the treatment response and indexing clinical severity has proven to be problematic in drug trials targeting Aß. Therefore, new biomarkers are needed to track non-Aß and non-tau pathology. Many proteins involved in the pathophysiological progression of AD have shown promise as new biomarkers. Neurodegeneration- and synapse-related biomarkers in CSF (e.g., neurofilament light polypeptide [NFL], neurogranin, and visinin-like protein 1) and blood (e.g., NFL) aid prediction of AD progress, as well as early diagnosis. Neuroinflammation, lipid dysmetabolism, and impaired protein clearance are considered important components of AD pathophysiology. Inflammation-related proteins in the CSF, such as progranulin, intercellular adhesion molecule 1, and chitinase-3-like protein 1 (YKL-40), are useful for the early detection of AD and can represent clinical severity. Several lipid metabolism-associated biomarkers and protein clearance-linked markers have also been suggested as candidate AD biomarkers. Combinations of subsets of new biomarkers enhance their utility in terms of broadly characterizing AD-associated pathological changes, thereby facilitating precise selection of susceptible patients and comprehensive monitoring of the treatment response. This approach could facilitate the development of effective treatments for AD.