Single‐microglia transcriptomic transition network‐based prediction and real‐world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's disease

An integrative analysis of ≈ 0.7 million single-nuclei RNA-sequencing transcriptomes from human brains identified Alzheimer's disease (AD)-relevant microglia subtypes. Network-based analysis identified putative molecular drivers (e.g., SYK, CTSB, INPP5D) of transition networks between disease-associated microglia (DAM) and neuroinflammation-like microglia (NIM). Via network-based prediction and population-based validation, we identified that usage of ketorolac (a US Food and Drug Administration-approved anti-inflammatory medicine) was associated with reduced AD incidence in two independent patient databases. Mechanistic observation showed that ketorolac treatment downregulated the Type-I interferon signaling in patient induced pluripotent stem cell-derived microglia, mechanistically supporting its protective effects in real-world patient databases.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-06
DOI
https://doi.org/10.1002/alz.14373
Citations
10
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
2.47

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article

Single‐microglia transcriptomic transition network‐based prediction and real‐world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's disease

Michal Rosen‐Zvi, Yuan Hou, Yishai Shimoni, Ehud Karavani et al.
10 citations
Alzheimer s & Dementia
Neuroinflammation and Neurodegeneration Mechanisms
2.47
article

Single‐microglia transcriptomic transition network‐based prediction and real‐world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's disease

Michal Rosen‐Zvi, Yuan Hou, Yishai Shimoni, Ehud Karavani, Feixiong Cheng, Michael M. Danziger, Wenqiang Song, Jianying Hu, James B. Leverenz, Jeffrey L. Cummings, Xin Chen, Andrew A. Pieper, Chengxi Zang, Yadi Zhou, Fei Wang, Zhenxing Xu, Chang Su, Yichen Li, Jielin Xu, Dhruv Gohel, Isabela Rivera Paz
article en
10 citations

Abstract

An integrative analysis of ≈ 0.7 million single-nuclei RNA-sequencing transcriptomes from human brains identified Alzheimer's disease (AD)-relevant microglia subtypes. Network-based analysis identified putative molecular drivers (e.g., SYK, CTSB, INPP5D) of transition networks between disease-associated microglia (DAM) and neuroinflammation-like microglia (NIM). Via network-based prediction and population-based validation, we identified that usage of ketorolac (a US Food and Drug Administration-approved anti-inflammatory medicine) was associated with reduced AD incidence in two independent patient databases. Mechanistic observation showed that ketorolac treatment downregulated the Type-I interferon signaling in patient induced pluripotent stem cell-derived microglia, mechanistically supporting its protective effects in real-world patient databases.

Alzheimer s & DementiaVol. 21(1)
Cleveland Clinic (US), University of Nevada, Las Vegas (US), Cornell University (US), Lou Ruvo Brain Institute (US), Cleveland Clinic Lerner College of Medicine (US), University Hospitals Cleveland Medical Center (US), Geriatric Research Education and Clinical Center (US), Louis Stokes Cleveland VA Medical Center (US), IBM Research - Thomas J. Watson Research Center (US), University School (US), IBM Research - Haifa (IL), Case Western Reserve University (US)
Alzheimer's Association, American Heart Association, Alzheimer's Drug Discovery Foundation, National Institutes of Health, National Institute on Aging, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 10%
Neuroinflammation and Neurodegeneration Mechanisms
2.47
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