{"title":"Exploration of the potential role of plasma lipoprotein molecules in late-onset Alzheimer's disease among the Chinese population.","authors":"Shitao Wang, Guoshuai Luo, Qingqing Zhao, Shangrong Zhang, Zongyou Li, Jinghong Lu, Fei Wang, Daliang Sun, Hui Xu","doi":"10.1177/25424823251378973","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Evidence suggests that lipoprotein metabolism play a crucial role in Alzheimer's disease (AD). However, their involvement in late-onset AD (LOAD) remains unclear.</p><p><strong>Objective: </strong>This study aimed to uncover potential associations between lipoprotein metabolism and clinical LOAD diagnosis, cognitive function, and treatment.</p><p><strong>Methods: </strong>We performed a lipidomic analysis of plasma samples from 46 individuals with LOAD and 16 healthy controls to investigate the potential association between lipoprotein profiles, LOAD diagnosis and cognitive function. Then, we conducted a protein-protein interaction analysis to explore the potential therapeutic role of lipoprotein molecules in LOAD.</p><p><strong>Results: </strong>Our findings revealed that ApoA2 and HDL ApoA2 may be negatively associated with LOAD risk (odds ratio [OR] = 0.798, 95% confidence interval [CI] = 0.654-0.973, p = 0.026; OR = 0.785, 95% CI = 0.634-0.972, p = 0.026, respectively), while LDL-3 triglycerides showed a potential positive association (OR = 6.051, 95% CI = 1.789-20.470, p = 0.004). Additionally, HDL-4 ApoA1 may be positively correlated with cognitive function in LOAD (p = 0.047, r² = 0.087). Moreover, our findings suggest that ApoA2 may interact with targets of approved AD drugs.</p><p><strong>Conclusions: </strong>This study identifies potential key lipoprotein alterations associated with LOAD diagnosis and cognitive function, emphasizing the role of lipidomic insights in understanding and treating LOAD.</p>","PeriodicalId":73594,"journal":{"name":"Journal of Alzheimer's disease reports","volume":"9 ","pages":"25424823251378973"},"PeriodicalIF":2.8000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12437157/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Alzheimer's disease reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/25424823251378973","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Evidence suggests that lipoprotein metabolism play a crucial role in Alzheimer's disease (AD). However, their involvement in late-onset AD (LOAD) remains unclear.
Objective: This study aimed to uncover potential associations between lipoprotein metabolism and clinical LOAD diagnosis, cognitive function, and treatment.
Methods: We performed a lipidomic analysis of plasma samples from 46 individuals with LOAD and 16 healthy controls to investigate the potential association between lipoprotein profiles, LOAD diagnosis and cognitive function. Then, we conducted a protein-protein interaction analysis to explore the potential therapeutic role of lipoprotein molecules in LOAD.
Results: Our findings revealed that ApoA2 and HDL ApoA2 may be negatively associated with LOAD risk (odds ratio [OR] = 0.798, 95% confidence interval [CI] = 0.654-0.973, p = 0.026; OR = 0.785, 95% CI = 0.634-0.972, p = 0.026, respectively), while LDL-3 triglycerides showed a potential positive association (OR = 6.051, 95% CI = 1.789-20.470, p = 0.004). Additionally, HDL-4 ApoA1 may be positively correlated with cognitive function in LOAD (p = 0.047, r² = 0.087). Moreover, our findings suggest that ApoA2 may interact with targets of approved AD drugs.
Conclusions: This study identifies potential key lipoprotein alterations associated with LOAD diagnosis and cognitive function, emphasizing the role of lipidomic insights in understanding and treating LOAD.