Evidence map›Paper›PMID 33900085›Full record

ArticleJournal of proteome research2021

Proteomic Profiling of the Substantia Nigra to Identify Determinants of Lewy Body Pathology and Dopaminergic Neuronal Loss.

Vladislav A Petyuk, Lei Yu, Heather M Olson, Fengchao Yu, Geremy Clair, Wei-Jun Qian, Joshua M Shulman, David A Bennett

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  18. In situ proximity labeling identifies Lewy pathology molecular interactions in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

8 authors at 4 institutions in 1 country.

Vladislav A PetyukBiological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K8-98, Richland, Washington 99352, United States.ORCID 0000-0003-4076-151X
Lei YuRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, United States.
Heather M OlsonEnvironmental and Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Fengchao YuDepartment of Pathology, University of Michigan, Ann Arbor, Michigan 48109, United States.
Geremy ClairBiological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K8-98, Richland, Washington 99352, United States.ORCID 0000-0003-0478-8520
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K8-98, Richland, Washington 99352, United States.ORCID 0000-0002-5393-2827
Joshua M ShulmanDepartments of Neurology, Molecular & Human Genetics, and Neuroscience, Baylor College of Medicine, Houston, Texas 77030, United States.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, United States.
Pacific Northwest National Laboratory · USRush University Medical Center · USBaylor College of Medicine · USUniversity of Michigan · US

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Development of Lewy Bodies Biofluid Signatures by Targeted ProteomicsU18NS082140 · NINDS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI PETYUK, VLADISLAV A · 2012 to 2015
$986k
NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG015819NINDS NIH HHS U18 NS082140
6 · The paper itself

Abstract

Proteinaceous aggregates containing α-synuclein protein called Lewy bodies in the substantia nigra is a hallmark of Parkinson's disease. The molecular mechanisms of Lewy body formation and associated neuronal loss remain largely unknown. To gain insights into proteins and pathways associated with Lewy body pathology, we performed quantitative profiling of the proteome. We analyzed substantia nigra tissue from 51 subjects arranged into three groups: cases with Lewy body pathology, Lewy body-negative controls with matching neuronal loss, and controls with no neuronal loss. Using a label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) approach, we characterized the proteome both in terms of protein abundances and peptide modifications. Statistical testing for differential abundance of the most abundant 2963 proteins, followed by pathway enrichment and Bayesian learning of the causal network structure, was performed to identify likely drivers of Lewy body formation and dopaminergic neuronal loss. The identified pathways include (1) Arp2/3 complex-mediated actin nucleation; (2) synaptic function; (3) poly(A) RNA binding; (4) basement membrane and endothelium; and (5) hydrogen peroxide metabolic process. According to the data, the endothelial/basement membrane pathway is tightly connected with both pathologies and likely to be one of the drivers of neuronal loss. The poly(A) RNA-binding proteins, including the ones relevant to other neurodegenerative disorders (e.g., TDP-43 and FUS), have a strong inverse correlation with Lewy bodies and may reflect an alternative mechanism of nigral neurodegeneration.

Indexed as

Lewy BodiesProteomicsalpha-SynucleinBayes TheoremChromatography, LiquidHumansNeuronsSubstantia NigraTandem Mass Spectrometryalpha-SynucleinLewy bodiesneurodegenerationParkinson’s diseaseTDP-43α-synuclein

Identifiers

PMID33900085
PMCPMC9190253
OpenAlexW3159713561

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.