Evidence map›Paper›PMID 41822037›Full record

ArticleNeurology. Genetics2026

Plasma isomiRs as Candidate Biomarkers for Amyotrophic Lateral Sclerosis.

Rogan G Magee, Vivianna M Van Deerlin, Corey T McMillan, Edward B Lee, Lauren B Elman, David John Irwin, Zissimos Mourelatos

Abstract read
In one paragraph

Article in Neurology. 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

7 authors.

Rogan G MageeDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0003-3899-2140
Vivianna M Van DeerlinDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and.ORCID https://orcid.org/0000-0002-7400-9097
Corey T McMillanDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0002-7581-6405
Edward B LeeDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and.ORCID https://orcid.org/0000-0002-4589-1180
Lauren B ElmanDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0003-4706-950X
David John IrwinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID https://orcid.org/0000-0002-5599-5098
Zissimos MourelatosDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia; and.ORCID https://orcid.org/0000-0002-9852-1845

Funding

Understanding Environmental Contributions to Heterogeneity in bvFTD.P01AG066597 · NIA · UNIVERSITY OF PENNSYLVANIA · PI David John Irwin, Corey T McMillan · 2020 to 2026
$18.8M
Genetic Contributions to Phenotypic Heterogeneity in the ALS-FTD SpectrumRF1NS145263 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MCMILLAN, COREY T · 2025 to 2025
$3.2M
NIA NIH HHS P01 AG066597NINDS NIH HHS RF1 NS145263
6 · The paper itself

Abstract

Background and Objectives: There are no FDA-approved diagnostic biomarkers for amyotrophic lateral sclerosis (ALS). TDP-43 is a known cofactor in the cleavage of long premature microRNAs (miRNAs) into their short, mature products. isomiRs are miRNA variants that differ in their 5' and 3' end points and regulate distinct mRNA targets. In this study, we tested the hypotheses that circulating isomiR profiles differ in the context of TAR DNA-binding Protein pathology and that isomiRs are superior to miRNAs for classification of ALS. Methods: We obtained RNA from plasma samples of 14 patients with ALS and 14 age-matched and sex-matched controls for sequencing on a NextSeq 2000. Data were processed using Unique Molecular Identifier tools and a custom pipeline designed to match miRNA variant sequences without mismatches. Differential expression (DE) was identified using DEseq2 at FDR ≤ 0.1. XGBoost classifiers were built using a subset of (Model 1) isomiRs or (Model 2) miRNAs that were present above a median threshold in all sequencing batches. Parameters were tuned using grid search and 10-fold cross-validation while training to distinguish ALS samples from controls among a single large public data set. Models were then validated on in-house samples and 1 publicly available holdout data set. Results: Fourteen (0.2%), 355 (2.7%), and 14 (0.7%) isomiRs were differentially expressed in in-house plasma, public ALS plasma, and public ALS serum, respectively. One (0.1%), 94 (5.5%), and 13 (2.4%) miRNAs were differentially expressed, respectively. Model 1 accurately classified in-house ALS plasma and public ALS serum (area under the curve [AUC] = 0.87) and did not distinguish 40 of 41 Alzheimer disease samples from control plasma (GSE215789; AUC = 0.47) or 60 of 77 Parkinson disease samples from control whole blood (GSE180193; AUC = 0.55). In comparison, Model 2 using miRNAs performed worse on in-house plasma (AUC = 0.49). Discussion: Analyzing individual isomiRs may improve the performance of circulating noncoding RNAs as diagnostic biomarkers of ALS.

Identifiers

PMID41822037
PMCPMC12978147

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.