Evidence map›Paper›PMID 41409685›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Predicting Phenoconversion to Clinically Manifest ALS: Results of a Large-Scale Proteomic Study.

Ximing Ran, Joanne Wuu, Zhaohui S Qin, Johnathan Cooper-Knock, Volkan Granit, Anne-Laure Grignon, Yindi Li, Eliza Lin, Maria Catalina Fernandez, Danielle Colato and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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

15 authors.

Ximing RanDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.ORCID 0009-0004-5414-1885
Joanne WuuDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0009-0005-9643-9855
Zhaohui S QinDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.ORCID 0000-0002-1583-146X
Johnathan Cooper-KnockSheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK.ORCID 0000-0002-0873-8689
Volkan GranitDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-6519-7225
Anne-Laure GrignonDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0002-7167-5983
Yindi LiDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.
Eliza LinUCL Queen Square Motor Neuron Disease Center, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, UK.
Maria Catalina FernandezDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.
Danielle ColatoDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.
Nathan CarberryDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0001-9194-3247
Christina M LillInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.ORCID 0000-0002-2805-1307
Paolo PiazzaNuffield Department of Medicine, Centre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0002-3736-1841
Andrea MalaspinaUCL Queen Square Motor Neuron Disease Center, UCL Queen Square Institute of Neurology, University College London, Queen Square, London, UK.ORCID 0000-0002-8020-7567
Michael BenatarDepartment of Neurology and ALS Center, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0003-4241-5135

Funding

Uncovering new genes and disease modifiers for ALS and related disordersU54NS092091 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Marka Van Blitterswijk · 2014 to 2026
$19.8M
Pre-Symptomatic Familial ALS (Pre-fALS) Study - Prelude to a Treatment Trial; Administrative SupplementR01NS105479 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BENATAR, MICHAEL, WUU, JOANNE · 2018 to 2022
$3.0M
NINDS NIH HHS R01 NS105479NINDS NIH HHS U54 NS092091
6 · The paper itself

Abstract

The study of pre-symptomatic amyotrophic lateral sclerosis (ALS) and the design of disease prevention trials are greatly hampered by our inability to predict which unaffected carriers of ALS-associated pathogenic variants will phenoconvert to clinically manifest disease, and when. In this longitudinal Olink Explore high-throughput proteomic study, 516 serially collected plasma samples from 33 phenoconverters, 35 patients with ALS, 10 pre-symptomatic pathogenic variant carriers and 59 controls were included. We identified 81 proteins whose concentrations changed prior to phenoconversion; characterized the longitudinal trajectory of these proteins; and identified a core panel of 19 proteins that, collectively, predicted phenoconversion over the 0.5- to 5-year time horizons (areas under curve 0.80-0.89) and yielded estimates of time-to-phenoconversion with a mean absolute error of 1.6 years. These findings were replicated in UK Biobank data, confirming pre-symptomatic increases in several proteins (e.g. NEFL, EDA2R, CA3) and that a multi-protein panel outperformed NEFL alone in estimating time-to-phenoconversion. This work sheds light on the biology of pre-symptomatic ALS. Moreover, our identification of a panel of novel susceptibility/risk biomarkers based on empirical longitudinal data furthers the ultimate goal of ALS prevention.

Identifiers

PMID41409685
PMCPMC12706620

What OpenQuestion holds

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LicenceCC BY-NC
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.