{"title":"整合血浆和红细胞膜脂质组学分析揭示阿尔茨海默病的新生物标志物面板。","authors":"Dandan He, Yaran Bao, Siyi Yuan, Yingji Wang, Jingbo Cai, Fangfang Xu, Tiantian Chang, Pei Zhang, Menglu Yue, Xiaodong Pan, Haiping Hao, Qiuling Zheng","doi":"10.1186/s13195-025-01830-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Discovering new biomarkers for Alzheimer's disease (AD) are significant for early diagnosis and monitoring disease's progression. Blood-based lipid biomarkers, particularly from red cell membranes, offer a non-invasive alternative, providing insights into AD progression and potential therapeutic targets.</p><p><strong>Methods: </strong>This study innovatively incorporates red cell membrane (RCM) lipids, which reflect chronic physiological alterations and are linked to AD pathogenesis. A comprehensive lipid detection platform was employed to analyze lipid profiles from 156 individuals, including normal subjects, those with amnestic mild cognitive impairment, and AD patients. Differential lipids were identified and validated to be AD-associated by correlation analysis and big data analysis. Multi-dimensional criteria were applied to select potential lipid biomarkers.</p><p><strong>Results: </strong>PLS-DA revealed distinct lipidomic profiles between groups, with RCM samples showing superior separation. 138 differentially expressed lipids were identified and enriched in AD-related pathways, many uniquely associated with the RCM. Six lipids were selected as a potential biomarker panel for AD based on multi-dimensional criteria.</p><p><strong>Conclusions: </strong>RCM shows broader lipidomic relevance and stronger biomarker potential compared to plasma. Integrating RCM lipids with plasma analysis enhances AD diagnostics and highlights the potential of RCM as an underexplored biomarker resource.</p>","PeriodicalId":7516,"journal":{"name":"Alzheimer's Research & Therapy","volume":"17 1","pages":"178"},"PeriodicalIF":7.6000,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309142/pdf/","citationCount":"0","resultStr":"{\"title\":\"Integrated plasma and red blood cell membrane lipidomics analysis unveils novel biomarker panel for Alzheimer's disease.\",\"authors\":\"Dandan He, Yaran Bao, Siyi Yuan, Yingji Wang, Jingbo Cai, Fangfang Xu, Tiantian Chang, Pei Zhang, Menglu Yue, Xiaodong Pan, Haiping Hao, Qiuling Zheng\",\"doi\":\"10.1186/s13195-025-01830-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Discovering new biomarkers for Alzheimer's disease (AD) are significant for early diagnosis and monitoring disease's progression. Blood-based lipid biomarkers, particularly from red cell membranes, offer a non-invasive alternative, providing insights into AD progression and potential therapeutic targets.</p><p><strong>Methods: </strong>This study innovatively incorporates red cell membrane (RCM) lipids, which reflect chronic physiological alterations and are linked to AD pathogenesis. A comprehensive lipid detection platform was employed to analyze lipid profiles from 156 individuals, including normal subjects, those with amnestic mild cognitive impairment, and AD patients. Differential lipids were identified and validated to be AD-associated by correlation analysis and big data analysis. Multi-dimensional criteria were applied to select potential lipid biomarkers.</p><p><strong>Results: </strong>PLS-DA revealed distinct lipidomic profiles between groups, with RCM samples showing superior separation. 138 differentially expressed lipids were identified and enriched in AD-related pathways, many uniquely associated with the RCM. Six lipids were selected as a potential biomarker panel for AD based on multi-dimensional criteria.</p><p><strong>Conclusions: </strong>RCM shows broader lipidomic relevance and stronger biomarker potential compared to plasma. Integrating RCM lipids with plasma analysis enhances AD diagnostics and highlights the potential of RCM as an underexplored biomarker resource.</p>\",\"PeriodicalId\":7516,\"journal\":{\"name\":\"Alzheimer's Research & Therapy\",\"volume\":\"17 1\",\"pages\":\"178\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2025-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12309142/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Alzheimer's Research & Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s13195-025-01830-7\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Alzheimer's Research & Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13195-025-01830-7","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Integrated plasma and red blood cell membrane lipidomics analysis unveils novel biomarker panel for Alzheimer's disease.
Background: Discovering new biomarkers for Alzheimer's disease (AD) are significant for early diagnosis and monitoring disease's progression. Blood-based lipid biomarkers, particularly from red cell membranes, offer a non-invasive alternative, providing insights into AD progression and potential therapeutic targets.
Methods: This study innovatively incorporates red cell membrane (RCM) lipids, which reflect chronic physiological alterations and are linked to AD pathogenesis. A comprehensive lipid detection platform was employed to analyze lipid profiles from 156 individuals, including normal subjects, those with amnestic mild cognitive impairment, and AD patients. Differential lipids were identified and validated to be AD-associated by correlation analysis and big data analysis. Multi-dimensional criteria were applied to select potential lipid biomarkers.
Results: PLS-DA revealed distinct lipidomic profiles between groups, with RCM samples showing superior separation. 138 differentially expressed lipids were identified and enriched in AD-related pathways, many uniquely associated with the RCM. Six lipids were selected as a potential biomarker panel for AD based on multi-dimensional criteria.
Conclusions: RCM shows broader lipidomic relevance and stronger biomarker potential compared to plasma. Integrating RCM lipids with plasma analysis enhances AD diagnostics and highlights the potential of RCM as an underexplored biomarker resource.
期刊介绍：
Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.
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