Evidence map›Paper›PMID 36741774›Full record

ArticleNature aging2022

Limited Proteolysis-Mass Spectrometry Reveals Aging-Associated Changes in Cerebrospinal Fluid Protein Abundances and Structures.

Steven R Shuken, Jarod Rutledge, Tal Iram, Patricia Moran Losada, Edward N Wilson, Katrin I Andreasson, Ryan D Leib, Tony Wyss-Coray

Erratum issuedOpen access · greenAbstract readLetter
In one paragraph

Article in Nature aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  12. State-of-the-Art and Future Directions in Structural Proteomics.Molecular & cellular proteomics : MCP · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Analysis of Limited Proteolysis-Coupled Mass Spectrometry Data.Molecular & cellular proteomics : MCP · 2025
    Article
  18. Review
  19. Article
  20. Recent Advances in Human Cerebrospinal Fluid Proteomics.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Steven R ShukenDepartment of Chemistry, Stanford University, Stanford, CA, USA.
Jarod RutledgeDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Tal IramDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Patricia Moran LosadaDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Edward N WilsonDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Katrin I AndreassonDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Ryan D LeibVincent Coates Foundation Mass Spectrometry Laboratory, Stanford University, Stanford, CA, USA.
Tony Wyss-CorayDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Neurosciences Institute · USStanford University · US

Funding

Stanford Alzheimer's Disease Research CenterAdmin Supp: Developing iPSC models for AD and PDP30AG066515 · NIA · STANFORD UNIVERSITY · PI ELIZABETH MORMINO · 2020 to 2026
$29.0M
Working Memory in Parkinson Disease: A Cognitive & Systems Neuroscience ApproachP50AG047366 · NIA · STANFORD UNIVERSITY · PI GREICIUS, MICHAEL D · 2015 to 2019
$7.9M
NIA NIH HHS P30 AG066515NIA NIH HHS P50 AG047366
6 · The paper itself

Abstract

Cerebrospinal fluid (CSF) proteins and their structures have been implicated repeatedly in aging and neurodegenerative diseases. Limited proteolysis-mass spectrometry (LiP-MS) is a method that enables proteome-wide screening for changes in both protein abundance and structure. To screen for novel aging-associated changes in the CSF proteome, we performed LiP-MS on CSF from young and old mice with a modified analysis pipeline. We found 38 protein groups change in abundance with aging, most dominantly immunoglobulins of the IgM subclass. We discovered six high-confidence candidates that appeared to change in structure with aging, of which Kng1, Itih2, Lp-PLA

Indexed as

Cerebrospinal Fluid ProteinsTandem Mass Spectrometry14-3-3 ProteinsAgingAnimalsBiomarkersHumansImmunoglobulin MMiceProteolysisProteome14-3-3 ProteinsBiomarkersCerebrospinal Fluid ProteinsImmunoglobulin MProteome

Identifiers

PMID36741774
PMCPMC9893943
OpenAlexW4223592008

What OpenQuestion holds

Textmetadata
LicenceTDM
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.