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Browsing by Subject "AD biomarker"
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Item Factors influencing the participation of Black and White Americans in Alzheimer’s disease biomarker research(Wiley, 2022-12-07) Eliacin, Johanne; Hathaway, Elizabeth; Wang, Sophia; O’Connor, Caitlin; Saykin, Andrew J.; Cameron, Kenzie A.; Psychiatry, School of MedicineIntroduction: Alzheimer's disease (AD) is a public health priority. AD biomarkers may vary based on race, but the recruitment of diverse participants has been challenging. Methods: Three groups of Black and White participants with and without prior research advocacy or participation were interviewed individually or in focus groups to better understand perspectives related to AD biomarker research participation. A rapid qualitative data analytic approach was used to analyze the data. Results: Identified barriers to AD biomarker research participation included hesitancy due to fear, distrust of research and researchers, lack of relevant knowledge, and lack of research test results disclosure. Drivers for engagement in biomarker research procedures included knowledge about research, AD, and related clinical procedures, perceived benefits of participation, and outreach from trusted sources. Discussion: Participants' comments related to the need for diversity in research and desire for results disclosure suggest opportunities to engage Black individuals. Highlights: Black Americans experience more salient barriers to Alzheimer's disease (AD) biomarker research participation.Concerns about research diversity influence research participation decisions.Research test disclosure may affect research participation and retention.Item Integrative analysis of DNA methylation and gene expression identifies genes associated with biological aging in Alzheimer's disease(Wiley, 2022-09-20) Kim, Bo-Hyun; Vasanthakumar, Aparna; Li, Qingqin S.; Nudelman, Kelly N.H.; Risacher, Shannon L.; Davis, Justin W.; Idler, Kenneth; Lee, Jong-Min; Seo, Sang Won; Waring, Jeffrey F.; Saykin, Andrew J.; Nho, Kwangsik; Alzheimer’s Disease Neuroimaging Initiative (ADNI); Radiology and Imaging Sciences, School of MedicineIntroduction: The acceleration of biological aging is a risk factor for Alzheimer's disease (AD). Here, we performed weighted gene co-expression network analysis (WGCNA) to identify modules and dysregulated genes involved in biological aging in AD. Methods: We performed WGCNA to identify modules associated with biological clocks and hub genes of the module with the highest module significance. In addition, we performed differential expression analysis and association analysis with AD biomarkers. Results: WGCNA identified five modules associated with biological clocks, with the module designated as "purple" showing the strongest association. Functional enrichment analysis revealed that the purple module was related to cell migration and death. Ten genes were identified as hub genes in purple modules, of which CX3CR1 was downregulated in AD and low levels of CX3CR1 expression were associated with AD biomarkers. Conclusion: Network analysis identified genes associated with biological clocks, which suggests the genetic architecture underlying biological aging in AD. Highlights: Examine links between Alzheimer's disease (AD) peripheral transcriptome and biological aging changes. Weighted gene co-expression network analysis (WGCNA) found five modules related to biological aging. Among the hub genes of the module, CX3CR1 was downregulated in AD. The CX3CR1 expression level was associated with cognitive performance and brain atrophy.