Identifying Predictive Risk Factors for Future Cognitive Impairment Among Chinese Older Adults: Longitudinal Prediction Study DOI Creative Commons
Collin Sakal, Tingyou Li, Juan Li

et al.

JMIR Aging, Journal Year: 2024, Volume and Issue: 7, P. e53240 - e53240

Published: March 22, 2024

Abstract Background The societal burden of cognitive impairment in China has prompted researchers to develop clinical prediction models aimed at making risk assessments that enable preventative interventions. However, it is unclear what types factors best predict future impairment, if known make equally accurate predictions across different socioeconomic groups, and existing are subpopulations. Objective This paper identify which domain health information predicts among Chinese older adults examine discrepancies exist predictive ability population subsets. Methods Using data from the Longitudinal Healthy Longevity Survey, we quantified demographics, instrumental activities daily living, tests, social hobbies, psychological factors, diet, exercise sleep, chronic diseases, 3 recently published logistic regression–based 3-year general male, female, rural-dwelling, urban-dwelling, educated, not formally educated adults. Predictive was using area under receiver operating characteristic curve (AUC) sensitivity-specificity curves through 20 repeats 10-fold cross-validation. Results A total 4047 participants were included study, 337 (8.3%) developed years after baseline collection. factor groups with demographics (AUC 0.78, 95% CI 0.77-0.78), tests 0.72, 0.72-0.73), living 0.71, 0.70-0.71). Demographics, all recreated had significantly higher AUCs when female compared male no formal education those some education. Conclusions study suggests most useful for predicting have lower power More efforts needed ensure can be conducted China.

Language: Английский

Astrocyte reactivity is associated with tau tangle load and cortical thinning in Alzheimer’s disease DOI Creative Commons
Tengfei Guo, Anqi Li, Pan Sun

et al.

Molecular Neurodegeneration, Journal Year: 2024, Volume and Issue: 19(1)

Published: July 30, 2024

Abstract Background It is not fully established whether plasma β-amyloid(Aβ) 42 /Aβ 40 and phosphorylated Tau 181 (p-Tau ) can effectively detect Alzheimer’s disease (AD) pathophysiology in older Chinese adults how these biomarkers correlate with astrocyte reactivity, Aβ plaque deposition, tau tangle aggregation, neurodegeneration. Methods We recruited 470 analyzed , p-Tau glial fibrillary acidic protein (GFAP), neurofilament light (NfL) using the Simoa platform. Among them, 301, 195, 70 underwent magnetic resonance imaging, positron emission tomography imaging. The thresholds were defined as ≤0.0609 ≥2.418 based on receiver operating characteristic curve analysis Youden index by comparing Aβ-PET negative cognitively unimpaired individuals positive impaired patients. To evaluate feasibility of (A) (T) to AD understand reactivity affects this process, we compared GFAP, plaque, tangle, NfL, hippocampal volume, temporal-metaROI cortical thickness between different A/T profiles explored their relations each other general linear models, including age, sex, APOE-ε4 diagnosis covariates. Results Plasma A+/T + showed highest levels axonal degeneration, lowest volume thickness. Lower higher independently synergistically correlated GFAP plaque. Elevated concentrations directly interactively associated more formation. Regarding neurodegeneration, strongly measured lower related greater atrophy. Higher thinner significantly interacted predicting thinning. Voxel-wise imaging confirmed findings. Discussion This study provides a valuable reference for community population offers novel insights into contributes progression, highlighting importance targeting reactive astrogliosis prevent AD.

Language: Английский

Citations

6
Associations of the A/T/N profiles in PET, CSF, and plasma biomarkers with Alzheimer's disease neuropathology at autopsy DOI
Zhibo Wang, Lan Tan, Pei‐Yang Gao

et al.

Alzheimer s & Dementia, Journal Year: 2023, Volume and Issue: 19(10), P. 4421 - 4435

Published: July 28, 2023

Abstract INTRODUCTION To examine the extent to which positron emission tomography (PET)‐, cerebrospinal fluid (CSF)‐, and plasma‐related amyloid‐β/tau/neurodegeneration (A/T/N) biomarkers are associated with Alzheimer's disease (AD) neuropathology at autopsy. METHODS A total of 100 participants who respectively underwent antemortem biomarker measurements postmortem were included in Disease Neuroimaging Initiative (ADNI). We examined associations PET‐, CSF‐, A/T/N combinations or alone AD neuropathological changes (ADNC). RESULTS PET‐ CSF‐related combination showed high concordance ADNC stage accuracy discriminating autopsy‐confirmed AD. However, better discriminative performance only when combined apolipoprotein E ( APO)E ε4 genotype. DISCUSSION This study supports that profiles can be used predict accurately stages neuropathology. For diagnostic settings, all useful tools detect presence HIGHLIGHTS specific may serve as a precise tool for detecting Plasma‐related need risk factors tool. Aβ PET CSF p‐tau181/Aβ42 most consistent pathology, while tau pathology.

Language: Английский

Citations

13
Identification of hub proteins in cerebrospinal fluid as potential biomarkers of Alzheimer’s disease by integrated bioinformatics DOI
Yang Li, Zuolong Chen, Qiong Wang

et al.

Journal of Neurology, Journal Year: 2022, Volume and Issue: 270(3), P. 1487 - 1500

Published: Nov. 18, 2022

Language: Английский

Citations

19
Is blood pTau a reliable indicator of the CSF status? A narrative review DOI
Annibale Antonioni,

Emanuela Maria Raho,

Francesco Di Lorenzo

et al.

Neurological Sciences, Journal Year: 2023, Volume and Issue: 45(6), P. 2471 - 2487

Published: Dec. 22, 2023

Language: Английский

Citations

11
Now and future: Strategies for diagnosis, prevention and therapies for Alzheimer’s disease DOI
Jiong Shi,

Jacques Touchon,

Lefkos Middleton

et al.

Science Bulletin, Journal Year: 2024, Volume and Issue: 69(23), P. 3777 - 3784

Published: Sept. 28, 2024

Language: Английский

Citations

4
Pathological angiogenesis was associated with cerebrovascular lesion and neurodegeneration in Alzheimer's disease DOI Creative Commons
Feng Gao,

Yaxi Zhan,

Qiong Wang

et al.

Alzheimer s & Dementia, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Abstract INTRODUCTION We investigated the specific factors driving abnormal angiogenesis in Alzheimer's disease (AD) and its role cerebrovascular lesions neurodegeneration. METHODS assessed pathologies, amyloid‐beta (Aβ), tau pathologies post mortem human brains detected 12 angiogenic cerebrospinal fluid (CSF) from China Aging Neurodegenerative Disease Initiative (CANDI) cohort. RESULTS observed severe blood‐brain barrier damage elevated levels of vascular marker CD31 AD brains, which had a stronger correlation with pathology than Aβ pathology. Consistently, only CSF pTau181 showed positive associations (soluble endothelial growth factor receptor 2 [sVEGFR2], VEGF‐C, VEGF‐D, placental [PLGF], Angiopoietin2, Serpin E1), but not Aβ42/40. Additionally, higher sVEGFR1, soluble Tyrosine‐protein kinase [sTIE2], PLGF, interleukin 8 [IL8], as well lower urokinase‐type plasminogen activator [uPA], were associated worsen DISCUSSION Our findings indicate that may play critical pathological angiogenesis, contributing to neurodegeneration AD. HIGHLIGHTS BBB mediated effect Aβ42/40 on sVEGFR1 sTIE2. Only sVEGFR2, E1. Higher sTIE2, IL8, uPA CSF,

Language: Английский

Citations

0
Prediction of cognitive conversion within the Alzheimer’s disease continuum using deep learning DOI Creative Commons
Siyu Yang, Xintong Zhang, Xiaoyong Du

et al.

Alzheimer s Research & Therapy, Journal Year: 2025, Volume and Issue: 17(1)

Published: Feb. 13, 2025

Early diagnosis and accurate prognosis of cognitive decline in Alzheimer's disease (AD) is important to timely assignment optimal treatment modes. We aimed develop a deep learning model predict conversion guide re-assignment decisions more intensive therapies where needed. Longitudinal data including five variable sets, i.e. demographics, medical history, neuropsychological outcomes, laboratory neuroimaging results, from the Disease Neuroimaging Initiative (ADNI) cohort were analyzed. first developed predicted using all sets. then gradually removed sets obtained parsimonious models for four different years forecasting after baseline within acceptable frames reduction overall fit (AUC remaining > 0.8). A total 607 individuals included at baseline, whom 538 participants followed up 12 months, 482 24 268 36 months 280 48 months. Predictive performance was excellent with AUCs ranging 0.87 0.92 when considered. Parsimonious prediction that still had good AUC 0.80-0.84 established, each only two Neuropsychological outcomes models. In addition, biomarker year 1 2, imaging 3 demographics 4. Under our pre-set threshold, rate upgrade according always higher than actual so as decrease false positive rate, indicating proportion patients who would have missed upgraded based on prognostic although they actually needed it. Neurophysiological tests combined other indicator vary along AD continuum can improve provide aid clinical leading improved management disease. ClinicalTrials.gov Identifier: NCT00106899 (Registration Date: 31 March 2005).

Language: Английский

Citations

0
Plasma biomarkers for diagnosis and differentiation and their cognitive correlations in patients with Alzheimer’s disease DOI Creative Commons

Wenhao Sun,

Shan Ye, Yu Wang

et al.

Brain Communications, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 1, 2025

Increasing evidence has shown the potential value of plasma biomarkers in Alzheimer's disease diagnosis. This study aimed to determine diagnostic and differential values emerging for different types dementia a Chinese population explore their cognitive correlations. One hundred twenty patients with dementia, including 51 patients, 54 subcortical ischaemic vascular (SIVD) 15 frontotemporal lobar degeneration (FTLD) were recruited alongside 27 cognitively unimpaired (CU) control subjects. Global domain-specific cognition was assessed all participants by battery neuropsychological tests. Plasma amyloid-beta (Αβ)42, Aβ40 total tau (in CU controls patients) phosphorylated at threonine-181 (P-tau181), neurofilament light (NfL) glial fibrillar acidic protein (GFAP) levels participants) measured using single-molecule array platform. The differed between controls, P-tau181 GFAP Aβ42/P-tau181 ratio best differentiating two groups [area under curve (AUC) = 0.966, 0.932 0.927, respectively]. greater group than other patient showed performance distinguishing from SIVD (AUC 0.922) FTLD 0.894), respectively. Moreover, compared that group, level elevated NfL groups. Compared single biomarkers, correlated broader domains, global [Mini-Mental Status Examination (MMSE), r 0.314, P 0.027; Montreal Cognitive Assessment (MoCA), 0.313, 0.043], memory (r 0.339, 0.016), language 0.333, 0.020), attention information processing speed 0.369, 0.008), executive function 0.305, 0.031) visuospatial 0.453, 0.001). an optimal biomarker identifying patients. progression monitoring value, respectively,

Language: Английский

Citations

0
An overview of cohort studies in brain science research DOI Creative Commons

Xiu-Hong Meng

Brain Science Advances, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 1, 2025

Driven by the development of evidence-based medicine, cohort studies provide reliable and scientific evidence for brain health neurological disorders. This review provides a concise introduction to several internationally renowned classical cohorts, highlighting their notable contributions research. Additionally, it brief disease-specific cohorts in field science along with research outcomes. Moreover, examines Chinese related discusses significant findings from studies. Increased interdisciplinary cooperation data sharing are expected generate new ideas standards early diagnosis diseases personalized prevention treatment strategies future, thereby effectively improving health.

Language: Английский

Citations

0
Blood biomarkers for clinical applications in Alzheimer's disease: A narrative review DOI Creative Commons
Huijun Li, Zhe Wang

NeuroMarkers., Journal Year: 2025, Volume and Issue: 2(2), P. 100078 - 100078

Published: March 27, 2025

Language: Английский

Citations

0