Peripheral Immune Composition in Alzheimer's Disease: Insights from Multi‐Ancestry RNA‐Sequencing and Cell Deconvolution
Yousef Mustafa, Makaela Mews, Tianjie Gu, Lissette Gomez, Larry D Adams, Takiyah D. Starks, Mario Cornejo‐Olivas, Maryenela Z. Illanes‐Manrique, Concepcion Silva‐Vergara, Briseida E. Feliciano‐Astacio, Goldie S Byrd, Margaret Pericak‐Vance, Jonathan L Haines, Anthony J Griswold

TL;DR
This study explores how immune cells in the blood differ in Alzheimer's patients across different ancestries, revealing ancestry-specific immune changes that could influence disease progression.
Contribution
The study identifies ancestry-specific immune alterations in Alzheimer's disease using RNA-seq and cell deconvolution in a multi-ancestry cohort.
Findings
AD cases show increased pro-inflammatory immune cells and reduced adaptive immunity markers.
Hispanic AD cases exhibit the strongest inflammatory response with altered monocyte and T cell profiles.
HRH4-expressing mast cells are identified as a potential novel inflammatory pathway in AD.
Abstract
Alzheimer's disease (AD) is marked by neuroinflammation and immune system changes, yet the role of peripheral immune cells remains unclear. Immune function varies by ancestry, influencing disease progression and treatment responses. This study applies high‐resolution immune cell deconvolution of whole blood RNA‐seq data from a multi‐ancestry cohort to characterize AD‐associated immune alterations and ancestry‐specific differences. Whole blood RNA‐seq data were generated from non‐Hispanic White (NHW), African‐American (AA), and Hispanic participants, balanced between AD cases and controls. Immune cell proportions were estimated using CIBERSORTx Hi‐Res. The propeller R package tested for immune cell differences between AD cases and controls using a main‐effects model adjusted for age, sex, and ancestry. An interaction model assessed ancestry‐specific immune alterations. The main‐effects…
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Taxonomy
TopicsAlzheimer's disease research and treatments · Neuroinflammation and Neurodegeneration Mechanisms · Single-cell and spatial transcriptomics
