Evidence map›Paper›PMID 41938620›Full record

ArticleFrontiers in genetics2026

Robbie Clarke, Payton Villers, Chloe Bills, Michaela Rice, Madison Higgins, Chan Lee, Prabir Patra, Peter H U Lee, Abhay Moghekar, Joon W Shim

Abstract read
In one paragraph

Article in Frontiers in genetics, 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

10 authors.

Robbie ClarkeDepartment of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.
Payton VillersDepartment of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.
Chloe BillsDepartment of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.
Michaela RiceDepartment of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.
Madison HigginsDepartment of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.
Chan LeeDepartment of Anesthesiology, Perioperative, and Pain Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Prabir PatraDepartment of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.
Peter H U LeeDepartment of Cardiothoracic Surgery, Southcoast Health, Fall River, MA, United States.
Abhay MoghekarDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States.
Joon W ShimDepartment of Biomedical and Electrical Engineering, Marshall University, Huntington, WV, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic hydrocephalus (CH) is a heterogeneous neurological disorder characterized by persistent ventricular enlargement and neurovascular dysfunction in the aging brain. Despite its clinical relevance, genetically anchored RNA biomarkers reflecting CH-associated metabolic and stress-related pathology remain poorly defined. Methods: We performed bulk RNA sequencing of postmortem caudate nucleus tissue from individuals with CH and age-matched neurologically normal controls. Disease-associated transcriptional programs were identified using principal component analysis (PCA), unsupervised hierarchical clustering, and gene set enrichment analysis (GSEA). Key candidate transcripts were validated by RT-PCR. Comparative genomic analyses across mouse, rat, pig, and human genomes examined transcript length, chromosomal positioning, and nucleotide composition. Results: PCA of the top 1,000 most variable transcripts demonstrated robust separation between CH and controls. Analysis of transcripts ranked 1,001-2,000 independently reproduced disease segregation, indicating distinct transcriptional programs. GSEA revealed significant enrichment of xenobiotic metabolism and oxidative stress pathways, with pyruvate dehydrogenase kinase 4 ( Conclusion: PDK4: is identified as a prominent RNA marker of chronic hydrocephalus in the elderly, providing a neurogenomic foundation for future fluid-based RNA biomarker development.

Indexed as

caudate nucleus (CN)hydrocephalusPDK4RNA biomarkerRNA-seq

Identifiers

PMID41938620
PMCPMC13043410

What Socratic holds

Textmetadata
LicenceCC BY
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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.