Evidence map›Paper›PMID 36541444›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

Blood RNA transcripts reveal similar and differential alterations in fundamental cellular processes in Alzheimer's disease and other neurodegenerative diseases.

Carol J Huseby, Elaine Delvaux, Danielle L Brokaw, Paul D Coleman

Open access · greenAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 8% of its field
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

14 citing papers in PubMed, 26 citations in OpenAlex.

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  5. Regarding the importance of population diversity validation in Alzheimer's disease models.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  9. Microglia contribute to bipolar depression through Serinc2-dependent phospholipid synthesis.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

4 authors at 2 institutions in 1 country.

Carol J HusebyASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, Arizona, USA.
Elaine DelvauxASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, Arizona, USA.
Danielle L BrokawUniversity of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Paul D ColemanASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, Arizona, USA.
Arizona State University · USUniversity of Pennsylvania · US

Funding

Postdoctoral Training, Neurobiology of Aging and Alzheimer's DiseaseT32AG044402 · NIA · UNIVERSITY OF ARIZONA · PI CAROL A. BARNES · 2016 to 2026
$1.8M
NIA NIH HHS T32 AG044402
6 · The paper itself

Abstract

backgroundDysfunctional processes in Alzheimer's disease and other neurodegenerative diseases lead to neural degeneration in the central and peripheral nervous system. Research demonstrates that neurodegeneration of any kind is a systemic disease that may even begin outside of the region vulnerable to the disease. Neurodegenerative diseases are defined by the vulnerabilities and pathology occurring in the regions affected.

methodA random forest machine learning analysis on whole blood transcriptomes from six neurodegenerative diseases generated unbiased disease-classifying RNA transcripts subsequently subjected to pathway analysis.

resultsWe report that transcripts of the blood transcriptome selected for each of the neurodegenerative diseases represent fundamental biological cell processes including transcription regulation, degranulation, immune response, protein synthesis, apoptosis, cytoskeletal components, ubiquitylation/proteasome, and mitochondrial complexes that are also affected in the brain and reveal common themes across six neurodegenerative diseases.

conclusionNeurodegenerative diseases share common dysfunctions in fundamental cellular processes. Identifying regional vulnerabilities will reveal unique disease mechanisms. HIGHLIGHTS: Transcriptomics offer information about dysfunctional processes. Comparing multiple diseases will expose unique malfunctions within diseases. Blood RNA can be used ante mortem to track expression changes in neurodegenerative diseases. Protocol standardization will make public datasets compatible.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesGene Expression RegulationHumansMitochondriaRNARNAAlzheimer's diseaseamyotrophic lateral sclerosisFriedreich's ataxiafrontotemporal dementiaHuntington's diseaseLou Gehrig's diseasemachine learningParkinson's diseasepathway analysisrandom forest classificationwhole blood RNA

Identifiers

PMID36541444
PMCPMC11633037
OpenAlexW4312066795

What OpenQuestion holds

Textmetadata
LicenceTDM
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.