Evidence map›Paper›PMID 37823036›Full record

ArticlebioRxiv : the preprint server for biology2024

Expansion of highly interferon-responsive T cells in early-onset Alzheimer's disease.

Daniel W Sirkis, Caroline Warly Solsberg, Taylor P Johnson, Luke W Bonham, Alexis P Oddi, Ethan G Geier, Bruce L Miller, Gil D Rabinovici, Jennifer S Yokoyama

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Daniel W SirkisMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-3440-8859
Caroline Warly SolsbergMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-7049-6281
Taylor P JohnsonMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Luke W BonhamMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Alexis P OddiMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Ethan G GeierMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Bruce L MillerMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Gil D RabinoviciMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.
Jennifer S YokoyamaMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-7274-2634
University of California, San Francisco · USNational Institutes of Health · US

Funding

Harmonized Data-Derived Resources for the Alzheimer's Disease and Related Dementias CommunityZIAAG000534 · NIA · NATIONAL INSTITUTE ON AGING · PI COOKSON, MARK · 2019 to 2025
$85.1M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Project 2: Biomarker Analysis, Non-Genetic Risk Factors, and Their Genetic InteractionsU19AG079774 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2023 to 2026
$39.4M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gil Dan Rabinovici · 2019 to 2026
$36.9M
Tau Metabolism in FTD: From Gene Mutations to Molecular Chaperones and Lysosomal ProteasesU54NS123985 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGARD, DAVID A., KAO, AIMEE · 2021 to 2025
$9.0M
US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative ResearchR01AG057234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Claudia Duran-Aniotz, Agustin M. Ibanez · 2019 to 2026
$6.1M
Elucidating clinical heterogeneity in early-onset AD via genomics, transcriptomics, and neuroimagingR01AG062588 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YOKOYAMA, JENNIFER S · 2019 to 2023
$4.0M
Intramural NIH HHS ZIA AG000534NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG057234NIA NIH HHS R01 AG062588NIA NIH HHS U19 AG079774NIDA NIH HHS 75N95022C00031NINDS NIH HHS U54 NS123985
6 · The paper itself

Abstract

introductionAltered immune signatures are emerging as a central theme in neurodegenerative disease, yet little is known about immune responses in early-onset Alzheimer's disease (EOAD).

methodsWe examined single-cell RNA-sequencing (scRNA-seq) data from peripheral blood mononuclear cells (PBMCs) and droplet digital (dd)PCR data from CD4 T cells from participants with EOAD and clinically normal controls.

resultsWe analyzed ~182,000 PBMCs by scRNA-seq and discovered increased interferon signaling-associated gene (ISAG) expression and striking expansion of antiviral-like ISAG DISCUSSION: ISAG

Indexed as

Alzheimer’s diseaseCD4 T cellsCerebrospinal fluidDroplet digital PCREarly-onset Alzheimer’s diseaseInterferonInterferon signaling-associated genePeripheral blood mononuclear cellsSingle-cell RNA-sequencingTauopathyT cells

Identifiers

PMID37823036
PMCPMC10563505
OpenAlexW4387081644

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.