Lubnaa Abdullah, Ney Alex Alliey, Emma Elizondo, Ney Alliey-Rodriguez, Gladys Maestre, James Hall
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Sex differences were investigated in nine studies. Two studies included participants with non-Down syndrome neurodevelopmental disorders. European-based city populations were primarily represented across studies. 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引用次数: 0
摘要
关于智力和发育障碍(I/DD)患者大脑衰老的研究相对较少。本项目旨在(1)描述国际上可用的多组学阿尔茨海默病(AD)生物标志物研究,包括I/DD的研究,以及(2)讨论未来的研究方向。PubMed, Web of Science和Scopus在以下标准下进行了搜索:成人(18岁以上)I/DD的横断面或纵向ad组学研究。532项研究被确定,186项研究被评估为全文,79项研究被排除,117项研究被提取。大多数生物标本在血液、血浆或血清中进行分析。代谢组学、激素组学和转录组学的研究最为不足。九项研究调查了性别差异。两项研究纳入了非唐氏综合症神经发育障碍患者。欧洲城市人口在研究中主要是有代表性的。未来的研究包括更广泛的I/DD表现,并考虑性别差异,合并症和新的生物标志物-突触核蛋白是有趣的未来方向。亮点:小样本量,横断面设计,和少数前瞻性和回顾性研究强调需要更严格的研究设计。对欧洲城市人口和唐氏综合征临床群体的关注促使需要在更广泛的临床和种族群体中采用包容性的、基于社区的招募方法。囊泡相关膜蛋白2 (VAMP2)有望早期检测突触变性,可能跨越I/DD组,显示与阿尔茨海默病、轴突损伤和DS患者认知表现的CSF生物标志物相关。
Systematic review and evidence gap mapping of Alzheimer's disease biomarker studies in those with intellectual and developmental disability.
There are a relatively small number of investigations into brain aging in those with intellectual and developmental disability (I/DD). This project seeks to (1) characterize the internationally available multi-omics Alzheimer's disease (AD) biomarker studies including those with I/DD, and (2) discuss future research directions. PubMed, Web of Science, and Scopus were searched under the following criteria: cross-sectional or longitudinal AD-omics studies on adults (18 +) with I/DD. 532 studies were identified, 186 studies were evaluated for full-text, 79 studies were excluded, and 117 studies were extracted. Most biological specimens were analyzed in blood, plasma, or serum. Metabolomics, hormonomics, and transcriptomics were most understudied. Sex differences were investigated in nine studies. Two studies included participants with non-Down syndrome neurodevelopmental disorders. European-based city populations were primarily represented across studies. Future studies including a broader range of I/DD presentations, and considering sex differences, comorbidities, and novel biomarkers beta synuclein are interesting future directions.
Highlights: Small sample sizes, cross-sectional designs, and few prospective and retrospective studies highlight the need for more rigorous research design.A focus on European-based city populations and Down syndrome (DS) clinical groups prompts the need for inclusive, community-based recruitment methods across broader clinical and ethnic groups.The vesicle-associated membrane protein 2 (VAMP2) shows promise for early detection of synaptic degeneration, potentially across I/DD groups, showing correlations with CSF biomarkers of Alzheimer's disease, axonal injury, and cognitive performance in DS.
期刊介绍:
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.