Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social impairments, and repetitive and aggressive behaviors. The pathophysiology of ASD still remains unclear, while th Show more
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by social impairments, and repetitive and aggressive behaviors. The pathophysiology of ASD still remains unclear, while the population with ASD is 1/36 in children in the USA in 2024. Evidence suggests a wide range of inconsistent changes in brain-derived neurotrophic factor (BDNF), the most important neurotrophin in the central nervous system, in ASD. The present systematic review investigated studies that examined BDNF levels in three main ASD-like models in rodents [induced by valproic acid (VPA) and propionic acid (PPA), and in the BTBR mouse strain] in accord with PRISMA guidelines and in PubMed database. Forty-two studies were included. Most studies used male rats/mice. The results showed ASD model induced by VPA often leads to decreased BDNF, although unchanged or increased BDNF levels were also reported. ASD model induced by PPA leads to both increased and decreased BDNF. BDNF changes in BTBR mouse strain were also inconsistent. We found that the type of molecular assay appears to be important in evaluating BDNF. Also, few evidence showed a role for postnatal day and sex difference in BDNF changes in ASD-like rodent models. In addition, some studies have shown the potential role of the brain region in BDNF changes in different ASD-like models. In conclusion, it was suggested that inconsistencies in BDNF changes in rodent models of ASD may be related to the type of the molecular assay, the brain region, ASD model, sex, or even the postnatal day. However, evidence is still insufficient. Show less
Alzheimer's disease (AD) heterogeneity complicates early detection and trial design. Scalable predictors may aid risk stratification. We assessed whether scalable baseline plasma biomarkers and neurop Show more
Alzheimer's disease (AD) heterogeneity complicates early detection and trial design. Scalable predictors may aid risk stratification. We assessed whether scalable baseline plasma biomarkers and neuropsychological measures predict 5‑year cognitive and functional decline in cognitively unimpaired older adults. We analyzed 866 amyloid-positive participants from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) trial and 343 amyloid-negative individuals from the Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) study. Decline was defined as a ≥0.5 increase in Clinical Dementia Rating-Global Score over 240 weeks. The separate and joint value of demographics, apolipoprotein E ( The p-tau217 and PACC significantly improved prediction. Full models achieved areas under the curve (AUCs) of 0.78-0.80 across cohorts. Additional plasma biomarkers offered modest AUC gains (1%-3%). The p-tau217 and PACC enhanced prediction of preclinical decline, supporting their utility in early identification and trial enrichment in AD. Show less
Hippocampal atrophy is a key marker of Alzheimer's disease (AD)-related neurodegeneration; however, hippocampal volume alone may not fully capture heterogeneity in cognitive decline. Hemispheric hippo Show more
Hippocampal atrophy is a key marker of Alzheimer's disease (AD)-related neurodegeneration; however, hippocampal volume alone may not fully capture heterogeneity in cognitive decline. Hemispheric hippocampal asymmetry may provide complementary information, but its prognostic value for cognitive decline and clinical progression remains unclear. We studied 1,142 dementia-free participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) with available baseline structural MRI, cerebrospinal fluid (CSF) amyloid-β (Aβ42) and phosphorylated tau (p-tau-181), and longitudinal cognitive follow-up. Total hippocampal volume (left + right) and hemispheric asymmetry (absolute left-right volumetric difference) were modeled simultaneously. Linear mixed-effects models examined associations with baseline performance and longitudinal change across memory, language, executive, and visuospatial domains. Cox proportional hazards models assessed risk of clinical progression to clinical dementia over up to 10 years of follow-up. All analyses adjusted for age, sex, education, APOE ε4 status, and CSF biomarkers, with stratification by amyloid status. The study cohort included 546 women (47.8%), with a mean age of 72.54 ± 6.98 years. Larger total hippocampal volume was consistently associated with better baseline performance and slower decline across all four cognitive domains, independent of amyloid and tau biomarkers. In contrast, greater hippocampal asymmetry was selectively associated with worse baseline memory performance and faster memory decline, independent of total hippocampal volume. In amyloid-stratified analyses, total hippocampal volume showed broad associations with cognition across all four domains among amyloid-positive participants and more limited, domain-specific associations among amyloid-negative participants, whereas hippocampal asymmetry was associated with memory only in amyloid-negative individuals. Regarding clinical progression to dementia, smaller total hippocampal volume was associated with higher risk of progression in the overall cohort and within both amyloid groups. In contrast, hippocampal asymmetry was associated with progression risk only among amyloid-negative individuals (hazard ratio per SD increase = 1.31, 95% CI: 1.03-1.65). Hippocampal total volume and asymmetry capture distinct aspects of neurodegeneration, with asymmetry providing additional prognostic information for memory decline and clinical progression in participants without detectable amyloid pathology. Show less