Translating high throughput screens in C elegans and microglia to humans with Medicare data to repurpose drugs to treat Alzheimer’s disease

Abstract Background Despite increasing knowledge of the etiology of neurodegenerative diseases, translation of these benefits into therapeutic advances for Alzheimer’s Disease and related diseases (ADRD) has been slow. Drug repurposing is a promising strategy for identifying new uses for approved drugs beyond their initial indications. We developed a high‐throughput drug screening platform aimed at identifying drugs capable of reducing proteotoxicity in vivo (Aß toxicity in Caenorhabditis elegans ) AND inhibiting microglial inflammation (TNF‐alpha IL‐6), both implicated in driving AD(figure attached with sample of results in C. elegans ). These screens led us to prioritize 50 potentially protective FDA‐approved drugs. We propose to test our screening results in humans using administrative claims data collected from the Centers for Medicare and Medicaid Services Method This is an observational retrospective pharmaco‐epidemiological longitudinal cohort study. The cohort is a random sample of 1,000,000 beneficiaries, aged 65‐75 years, followed for 10 consecutive years, requested from CMS. Files include MedPar, Outpatient, Carrier, Hospice to maximize inclusion of AD beneficiaries according to Bynum algorithm, and Part D event for drug prescription details. We will use Cox regression, to compute Hazard Ratios and associated 95% confidence intervals, of the association between drug exposure status and the risk of ADRD. We will examine potential confounding by indication, drug target, and competing risks. Result 1/We propose to assess if drugs which reduce Ab toxicity in a C. elegans model of AD AND reduce microglial inflammation reduce the risk of developing ADRD in humans, using Medicare claims. 2/We propose to assess if drugs which reduce inflammation, reduce the risk of developing ADRD in humans, using the Medicare claims. Conclusion The end goal of the study is to identify drugs to be repurposed to treat ADRD and to accumulate strong epidemiological evidence in addition to the existing evidence from the model organism C. elegans and cell culture studies.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.086778
Primary Topic
Cell Image Analysis Techniques
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article
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article

Translating high throughput screens in C elegans and microglia to humans with Medicare data to repurpose drugs to treat Alzheimer’s disease

Fred Ko, Sven Sandin, Mary Sano, Rachel Litke et al.
Alzheimer s & Dementia
Cell Image Analysis Techniques
article

Translating high throughput screens in C elegans and microglia to humans with Medicare data to repurpose drugs to treat Alzheimer’s disease

Fred Ko, Sven Sandin, Mary Sano, Rachel Litke, Charles V. Mobbs, Melissa D. Aldridge, Abraham Reichenberg, Arushi Arora, Yihan Wang
article en

Abstract

Abstract Background Despite increasing knowledge of the etiology of neurodegenerative diseases, translation of these benefits into therapeutic advances for Alzheimer’s Disease and related diseases (ADRD) has been slow. Drug repurposing is a promising strategy for identifying new uses for approved drugs beyond their initial indications. We developed a high‐throughput drug screening platform aimed at identifying drugs capable of reducing proteotoxicity in vivo (Aß toxicity in Caenorhabditis elegans ) AND inhibiting microglial inflammation (TNF‐alpha IL‐6), both implicated in driving AD(figure attached with sample of results in C. elegans ). These screens led us to prioritize 50 potentially protective FDA‐approved drugs. We propose to test our screening results in humans using administrative claims data collected from the Centers for Medicare and Medicaid Services Method This is an observational retrospective pharmaco‐epidemiological longitudinal cohort study. The cohort is a random sample of 1,000,000 beneficiaries, aged 65‐75 years, followed for 10 consecutive years, requested from CMS. Files include MedPar, Outpatient, Carrier, Hospice to maximize inclusion of AD beneficiaries according to Bynum algorithm, and Part D event for drug prescription details. We will use Cox regression, to compute Hazard Ratios and associated 95% confidence intervals, of the association between drug exposure status and the risk of ADRD. We will examine potential confounding by indication, drug target, and competing risks. Result 1/We propose to assess if drugs which reduce Ab toxicity in a C. elegans model of AD AND reduce microglial inflammation reduce the risk of developing ADRD in humans, using Medicare claims. 2/We propose to assess if drugs which reduce inflammation, reduce the risk of developing ADRD in humans, using the Medicare claims. Conclusion The end goal of the study is to identify drugs to be repurposed to treat ADRD and to accumulate strong epidemiological evidence in addition to the existing evidence from the model organism C. elegans and cell culture studies.

Alzheimer s & DementiaVol. 20(S6)
James J. Peters VA Medical Center (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 84%
Cell Image Analysis Techniques
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