Evidence map›Paper›PMID 31721001›Full record

ArticleJournal of molecular neuroscience : MN2019

Targeted Multiple Reaction Monitoring Analysis of CSF Identifies UCHL1 and GPNMB as Candidate Biomarkers for ALS.

Shaochun Zhu, Anna Wuolikainen, Junfang Wu, Anders Öhman, Gunnar Wingsle, Thomas Moritz, Peter M Andersen, Lars Forsgren, Miles Trupp

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular neuroscience : MN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Proteomic Exploration of L1CAMInternational journal of molecular sciences · 2025
    Article
  6. Current Understanding of Protein Aggregation in Neurodegenerative Diseases.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Observational
  14. Review
  15. Deubiquitinases in muscle physiology and disorders.Biochemical Society transactions · 2024
    Review
  16. Article
  17. Article
  18. Biomarkers in cerebrospinal fluid for amyotrophic lateral sclerosis phenotypes.Annals of clinical and translational neurology · 2023
    Article
  19. Article
  20. Article
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

9 authors at 3 institutions in 1 country.

Shaochun ZhuDepartment of Clinical Science, Neurosciences, Umeå University, Building 10, NUS, Umeå, Sweden.
Anna WuolikainenDepartment of Chemistry, Umeå University, Umeå, Sweden.
Junfang WuDepartment of Chemistry, Umeå University, Umeå, Sweden.
Anders ÖhmanDepartment of Clinical Science, Neurosciences, Umeå University, Building 10, NUS, Umeå, Sweden.
Gunnar WingsleDepartment of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden.
Thomas MoritzDepartment of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Umeå, Sweden.
Peter M AndersenDepartment of Clinical Science, Neurosciences, Umeå University, Building 10, NUS, Umeå, Sweden.
Lars ForsgrenDepartment of Clinical Science, Neurosciences, Umeå University, Building 10, NUS, Umeå, Sweden.
Miles TruppDepartment of Clinical Science, Neurosciences, Umeå University, Building 10, NUS, Umeå, Sweden. miles.trupp@umu.se.ORCID http://orcid.org/0000-0001-8095-053X
Umeå University · SESwedish University of Agricultural Sciences · SEUniversity Hospital of Umeå · SE

Funding

Parkinsonfonden 927/16
6 · The paper itself

Abstract

The neurodegenerative diseases amyotrophic lateral sclerosis (ALS) and Parkinson's disease (PD) share some common molecular deficits including disruption of protein homeostasis leading to disease-specific protein aggregation. While insoluble protein aggregates are the defining pathological confirmation of diagnosis, patient stratification based on early molecular etiologies may identify distinct subgroups within a clinical diagnosis that would respond differently in therapeutic development programs. We are developing targeted multiple reaction monitoring (MRM) mass spectrometry methods to rigorously quantify CSF proteins from known disease genes involved in lysosomal, ubiquitin-proteasomal, and autophagy pathways. Analysis of CSF from 21 PD, 21 ALS, and 25 control patients, rigorously matched for gender, age, and age of sample, revealed significant changes in peptide levels between PD, ALS, and control. In patients with PD, levels of two peptides for chromogranin B (CHGB, secretogranin 1) were significantly reduced. In CSF of patients with ALS, levels of two peptides from ubiquitin carboxy-terminal hydrolase like protein 1 (UCHL1) and one peptide each for glycoprotein non-metastatic melanoma protein B (GPNMB) and cathepsin D (CTSD) were all increased. Analysis of patients with ALS separated into two groups based on length of survival after CSF sampling revealed that the increases in GPNMB and UCHL1 were specific for short-lived ALS patients. While analysis of additional cohorts is required to validate these candidate biomarkers, this study suggests methods for stratification of ALS patients for clinical trials and identifies targets for drug efficacy measurements during therapeutic development.

Indexed as

AdultAgedAmyotrophic Lateral SclerosisBiomarkersFemaleHumansMaleMass SpectrometryMembrane GlycoproteinsMiddle AgedMolecular Diagnostic TechniquesSurvival AnalysisUbiquitin ThiolesteraseBiomarkersGPNMB protein, humanMembrane GlycoproteinsUbiquitin ThiolesteraseUCHL1 protein, humanALSCSF biomarkerParkinson’s diseaseProtein homeostasisProteomics

Identifiers

PMID31721001
PMCPMC6858390
OpenAlexW2983420772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.