Evidence map›Paper›PMID 42426931›Full record

ArticleAging cell2026

Transcriptomic Evidence of Mitochondrial Double-Stranded RNA Accumulation in Brain Aging and Alzheimer's Disease.

Rachel L Doser, Thomas J LaRocca

Abstract read
In one paragraph

Article in Aging cell, 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

5 · Who and what money

Authors and funding

2 authors.

Rachel L DoserDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.
Thomas J LaRoccaDepartment of Health and Exercise Science, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0002-2393-7299

Funding

Age-related repetitive element dysregulation, neuroinflammation and Alzheimer's diseaseR01AG078859 · NIA · COLORADO STATE UNIVERSITY · PI Thomas LaRocca · 2022 to 2026
$1.9M
Mitochondria-derived dsRNA in brain aging and Alzheimer's diseaseF32AG087636 · NIA · COLORADO STATE UNIVERSITY · PI Rachel Doser · 2024 to 2026
$234k
NIA NIH HHS F32 AG087636NIA NIH HHS F32AG087636NIA NIH HHS R01 AG078859NIA NIH HHS R01AG078859
6 · The paper itself

Abstract

Mitochondria and inflammation are tightly linked in aging and Alzheimer's disease (AD), and recent evidence implicates mitochondrial double-stranded RNA (mt-dsRNA) as a potential trigger of inflammation. We examined mt-dsRNA accumulation and dsRNA signaling in brain aging and AD using complementary human brain tissue and in vitro transcriptomic datasets by quantifying mitochondrial transcripts, dsRNA editing, and related gene expression patterns. We found that mt-dsRNA signatures increased after midlife and coincided with reduced expression of mitochondrial RNA processing and translation machinery, along with increased expression of dsRNA antiviral signaling proteins, consistent with cytoplasmic mt-dsRNA-driven inflammation. In AD brains, mt-dsRNA signatures were further increased and correlated with cognitive impairment, neuropathological severity, and AD risk genotypes. Genes associated with these measures reflected altered ubiquitin-dependent regulation of antiviral signaling, potentially indicating altered sensitivity to mt-dsRNA. Together, these findings highlight mitochondrial RNA homeostasis as an unrecognized contributor to age- and AD-related neurodegeneration and identify mt-dsRNA as a potential driver of chronic inflammation in the brain.

Indexed as

AgingAlzheimer DiseaseBrainMitochondriaRNA, Double-StrandedRNA, MitochondrialTranscriptomeFemaleHumansRNA, Double-StrandedRNA, MitochondrialagingAlzheimer's diseasebraindouble‐stranded RNAinflammationmitochondrial RNA

Identifiers

PMID42426931
PMCPMC13349986

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.