Shu et al. found that downregulation of #microtubule proteins TUBB2A, TUBB3, and TUBB4B contributes to #neuronaldysfunction in #Alzheimer’s disease by impairing microtubule stability and promoting tau pathology. doi.org/10.4103/AGIN... #Tubulin #Neuroscience #Bioinformatics #ADresearch #Aging

Predictive Model of Acupuncture Adherence in Alzheimer Disease: Secondary Analysis of Randomized Controlled Trials Background: The therapeutic efficacy of acupuncture in treating Alzheimer’s disease (AD) largely depends on consistent treatment adherence. Therefore, identifying key factors influencing adherence and developing targeted interventions are crucial for enhancing clinical outcomes. Objective: To develop and validate a predictive model for identifying patients with AD who are likely to maintain good adherence to acupuncture treatment. Methods: This secondary analysis included 108 patients with probable AD, aged 50–85 years, from two independent randomized controlled trials conducted at Guang’anmen Hospital, China Academy of Chinese Medical Sciences. Sixty-six patients were assigned to the development cohort and 42 to the external validation cohort. Acupuncture adherence was defined as the proportion of completed sessions relative to scheduled sessions, with good adherence defined as ≥80% completion. Baseline data included demographic, clinical, cognitive, functional, psychological, and caregiving variables. Multivariable logistic regression with backward stepwise selection was used to identify significant predictors, and a nomogram was constructed based on the final model. Model performance was assessed using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis, with external validation performed by ROC analysis. Results: The number of treatments in the first month, caregiving role, and disease duration were identified as significant predictors of adherence. The nomogram incorporating these variables demonstrated excellent discrimination in the development cohort (AUC = 0.914) and good performance in the external validation cohort (AUC = 0.838). Conclusions: This study is the first to develop and validate a predictive model for acupuncture adherence in patients with AD. The model offers valuable clinical and research implications. Early identification of patients at high risk for non-adherence enables the implementation of targeted interventions or the use of stratified analyses to reduce bias and improve study integrity. Moreover, the identified predictors provide actionable insights for clinicians to enhance adherence and optimize treatment outcomes.

New in JMIR Aging: Predictive Model of Acupuncture Adherence in Alzheimer Disease: Secondary Analysis of Randomized Controlled Trials #Acupuncture #Alzheimers #ADResearch #PredictiveModel #Healthcare

NeurologyLive® Year in Review 2025: What Trials Could Reshape Alzheimer Care? | NeurologyLive - Clinical Neurology News and Neurology Expert Insights As part of NeurologyLive®'s Year in Review, take a look at some of the top ongoing clinical trials in Alzheimer disease and dementia that may impact care.

🧠 NeurologyLive® Year in Review 2025 highlights key #Alzheimer disease trials that could reshape care—spanning anti-amyloid, anti-tau, immunotherapy, and prevention-focused studies

From DIAN-TU to AHEAD 3-45, here’s what to watch 👇 www.neurologylive.com/view/neurolo...
#Neuro #ADResearch #AD

🧬26 ADNI patients, 1 bold idea: use #CSF erythrocyte load 🩸 + vitals 💓 to predict #Brain atrophy 🧠 @mdpiopenaccess.bsky.social #NeuroTech #MachineLearning #ADResearch 🚀👇
www.mdpi.com/2227-9059/13...

🧠💻 Clinicians, neuroscientists, data nerds—this is your cue!
Join the quest to outsmart #Alzheimer’s!🧩✨ @mdpiopenaccess.bsky.social #Dementia #ADResearch #NeuroAI
📢 Read + share👇
www.mdpi.com/2227-9059/13...

🧬26 ADNI patients, 1 bold idea: use #CSF erythrocyte load 🩸 + vitals 💓 to predict #Brain atrophy 🧠 @mdpiopenaccess.bsky.social #NeuroTech #MachineLearning #ADResearch 🚀👇
www.mdpi.com/2227-9059/13...

🧠💥 #Alzheimer’s kills more than #Breast + #Prostate cancer combined! Our review shows how #AdipoRon may fight #Neuroinflammation, #Tau, & #Synaptic loss!🚀 @MDPIOpenAccess @IJMS_MDPI #NeuroprotectiveFuture #ADresearch
www.mdpi.com/1422-0067/26...

🧠💥 #Alzheimer’s kills more than #Breast + #Prostate cancer combined! Our review shows how #AdipoRon may fight #Neuroinflammation, #Tau, & #Synaptic loss!🚀 @mdpiopenaccess.bsky.social #NeuroprotectiveFuture #ADresearch
www.mdpi.com/1422-0067/26...

Excited to present at the Alzheimer's Insight Summit Industry Symposium at #ADPD2025! Grateful to #ADDI team for the invitation to share how my team leverages the AD Workbench to advance our research. Huge thanks to all partners for the great initiative! #ADresearch

Proud of our Lab at the 2025 #HarvardPsychiatry Research Day! 🧠 Rachel Zsido, PhD (nominated) presented "Sex Differences in Stress Circuitry & HRV in #Depression". Shoutout to Hannah Nemeth, Emma Spooner, Aditii Wakhlu & Dylan Spets,PhD for driving science forward! #CNL_SD #Neuroscience #ADResearch

We love to see HESP connections continue! Dr. Ozioma Okonkwo, #HESP Co-Director, was a guest lecturer for the Science Sundays series at Ohio State University. It was great seeing ADNI HESP alum, Dr. Jeremy Grant at the lecture! artsandsciences.osu.edu/events/scien...
#ADresearch #HESPconnections

AI model predicts Alzheimer’s progression with new insights into racial and sex-based disparities 🧠📊🧬 www.news-medical.net/news/2024110... #Alzheimers #DeepLearning #HealthDisparities #ADresearch #AI #Medicine #Brain #HealthEquity #NeuroScience