Evidence map›Paper›PMID 40161839›Full record

ArticlebioRxiv : the preprint server for biology2025

High throughput identification of genetic regulators of microglial inflammatory processes in Alzheimer's disease.

Christopher L Cardona, Lai Wei, Joonwon Kim, Ellen Angeles, Gunjandeep Singh, Shiye Chen, Ronak Patel, Nkechime Ifediora, Peter Canoll, Andrew F Teich and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Christopher L CardonaORCID 0000-0001-7463-4565
Lai Wei
Joonwon Kim
Ellen Angeles
Gunjandeep Singh
Shiye Chen
Ronak Patel
Nkechime Ifediora
Peter Canoll
Gunnar Hargus
Alejandro Chavez

Funding

Developing a microfluidic human neurovascular unit system to investigate genetic and age-related risk factors in Alzheimer's diseaseRF1AG078352 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI AGALLIU, DRITAN, SPROUL, ANDREW ALEXANDER · 2022 to 2024
$1.4M
NIA NIH HHS RF1 AG078352
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified over a hundred genetic risk factors for Alzheimer's disease (AD), many of which are predominantly expressed in microglia. However, the pathogenic role for most of them remains unclear. To systematically investigate how AD GWAS variants influence human microglial inflammatory responses, we conducted CRISPR inhibition (CRISPRi) screens targeting 119 AD GWAS hits in hiPSC-derived microglia (iMGLs) and used the production of reactive oxygen species (ROS) in response to the viral mimic poly(I:C) as a functional readout. Top hits whose knockdown either increased or decreased ROS levels in response to poly(I:C) were further analyzed using CROP-seq to integrate CRISPRi with single-cell RNA sequencing (scRNA-seq). This analysis identified 9 unique microglial clusters, including a poly(I:C)-driven inflammatory cluster 2. Emerging evidence supports a pathogenic role of viral infections in AD and cross comparison of our scRNA-seq data with iMGLs xenotransplanted into an AD mouse model shows significant overlap between our clusters and AD-relevant microglial clusters. Knockdown of

Identifiers

PMID40161839
PMCPMC11952304

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.