Evidence map›Paper›PMID 42466415›Full record

ArticleResearch square2026

Multi-hit genetic lesions and a stress-imprinted immune transcriptome define the inflammatory pathology in ALS patients.

Ao Mei, Dipanarine Jewett, Anahid Jewett, Kawaljit Kaur, Subramaniam Malarkannan

Abstract readPreprint
In one paragraph

Article in Research square, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ao MeiMedical College of Wisconsin.
Dipanarine JewettUniversity of California, Los Angeles.
Anahid JewettUniversity of California, Los Angeles.
Kawaljit KaurUniversity of California, Los Angeles.
Subramaniam MalarkannanMedical College of Wisconsin.

Funding

Molecular signature of inflammationR01CA179363 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI MALARKANNAN, SUBRAMANIAM · 2014 to 2018
$1.6M
Molecular mechanisms of signaling co-ordination in innate lymphocytesR01AI102893 · NIAID · MEDICAL COLLEGE OF WISCONSIN · PI MALARKANNAN, SUBRAMANIAM · 2013 to 2016
$1.5M
NCI NIH HHS R01 CA179363NIAID NIH HHS R01 AI102893
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a genetically heterogeneous neurodegenerative disease whose peripheral immune architecture remains incompletely defined. Here, we integrated whole-genome sequencing and single-cell RNA sequencing to define genomic and immune correlates of ALS. Genome-wide analysis of a monozygotic twin pair discordant for ALS pathology identified shared ALS-associated variants, as well as patient-enriched variants in genes linked to RNA metabolism, neurodegeneration, and immune inflammation, supporting a multilayered genetic architecture. Single-cell profiling of 40,484 peripheral blood mononuclear cells from three ALS patients and two healthy individuals, including 33,667 cells retained after quality control, resolved 13 immune clusters and revealed broad remodeling of the peripheral immune compartment, with relative enrichment of natural killer, mucosal-associated invariant T, and γδ T-cell populations. Across immune subsets, ALS samples exhibited inflammatory and stress-adapted transcriptomic programs, including TNF-α/NF-κB, IFN-γ, hypoxia, and ribosomal stress pathways. These data support a model in which multi-hit genetic susceptibility converges on a stress-induced immune transcriptome, marked uniquely by innate lymphocyte activation in ALS patients.

Indexed as

Amyotrophic lateral sclerosis (ALS)IFN-γ responsenatural killer (NK) cellsNF-κBsingle-cell RNA sequencingTNF-αwhole-genome sequencingγδ T cells

Identifiers

PMID42466415
PMCPMC13370617

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.