Evidence map›Paper›PMID 41618346›Full record

ArticleAlzheimer's research & therapy2026

Ratios of CSF proteins reflect cognitive function in ALS.

Linn Öijerstedt, Sára Mravinacová, Jennie Olofsson, Louisa Azizi, Sofia Bergström, Solmaz Yazdani, Nina De Vita, Inci S Aksoylu, Juliette Foucher, Alexander Juto and 4 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

14 authors.

Linn ÖijerstedtDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden. linn.oijerstedt@ki.se.
Sára MravinacováDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, 17165, Sweden.
Jennie OlofssonDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, 17165, Sweden.
Louisa AziziDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.
Sofia BergströmDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, 17165, Sweden.
Solmaz YazdaniDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.
Nina De VitaDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, 17165, Sweden.
Inci S AksoyluDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, 17165, Sweden.
Juliette FoucherDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.
Alexander JutoDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.
Ulf KläppeDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.
Peter NilssonDepartment of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, 17165, Sweden.
Anna Månberg *Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, 17165, Sweden.
Caroline Ingre *Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, 17177, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive impairment is a recognised feature of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS). Despite advances in understanding cognitive impairment in ALS, no fluid biomarkers reliably predict these changes. Prior research in Alzheimer disease (AD) has demonstrated that CSF protein ratios enhance biomarker accuracy by mitigating inter-individual variability, improving diagnostic precision. In AD, ratios involving synaptic markers have shown stronger associations with cognitive outcomes than single proteins, motivating evaluation of a similar ratio-based approach in ALS.

methodsBuilding on findings from the AD field, we analysed 47 CSF proteins, suggested to be associated to neurodegeneration, in 66 patients with ALS and explored protein ratios to evaluate their utility in detecting cognitive impairment, hypothesising shared mechanisms between neurodegenerative diseases. Elastic net regression identified the most predictive protein pairs associated with cognitive impairment, assessed with the Edinburgh Cognitive and Behavioural ALS Screen (ECAS).

resultsElastic net identified seven single proteins (NEFM, NPTX2, GAP43, IGFBP4, IGFBP7, SPP1, CDH8) and eight protein pairs associated with ECAS total score. Ratios were generally more informative than individual proteins, with PTPRN2/GAP43 showing the strongest association with ECAS scores, indicating an enhanced ability to capture cognitive changes. Several of the proteins in the most predictive pairs have previously been implicated to associate to cognitive impairment in AD.

conclusionOur findings indicate that protein ratios outperform single-protein analyses in detecting associations with cognitive impairment, aligning with advancements in AD research. By extending the concept of CSF protein ratios from AD to ALS, this study highlights shared pathological mechanisms and suggests that similar proteins are linked to cognitive dysfunction in both diseases.

Indexed as

Amyotrophic Lateral SclerosisCerebrospinal Fluid ProteinsCognition DisordersAgedBiomarkersFemaleHumansMaleMiddle AgedNeuropsychological TestsBiomarkersCerebrospinal Fluid ProteinsAmyotrophic lateral sclerosisCognitive impairmentECASProteomicsRatios

Identifiers

PMID41618346
PMCPMC12931033

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Registered trials

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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.