Evidence map›Paper›PMID 33685516›Full record

ArticleActa neuropathologica communications2021

Reduced erythrocytic CHCHD2 mRNA is associated with brain pathology of Parkinson's disease.

Xiaodan Liu, Qilong Wang, Ying Yang, Tessandra Stewart, Min Shi, David Soltys, Genliang Liu, Eric Thorland, Eugene M Cilento, Yiran Hou and 3 more

Open access · goldAbstract read
In one paragraph

Article in Acta neuropathologica communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

Xiaodan Liu *Department of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, 100191, China.
Qilong Wang *Department of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, 100191, China.
Ying Yang *Department of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, 100191, China.
Tessandra StewartDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
Min ShiDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
David SoltysDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
Genliang LiuCenter for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Eric ThorlandDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
Eugene M CilentoDepartment of Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
Yiran HouThe Affiliated High School of Peking University, Beijing, 100080, China.
Zongran LiuDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, 100191, China.
Tao FengCenter for Movement Disorders, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. happyft@sina.com.
Jing ZhangDepartment of Pathology, School of Basic Medical Sciences, Peking University Third Hospital, Peking University Health Science Center, Beijing, 100191, China. zhangj@uw.edu.ORCID 0000-0002-9224-6299
Peking University · CNUniversity of Washington · USCapital Medical University · CN

Funding

MicroRNAs in CNS-derived extracellular microvesicles as peripheral blood biomarkers for Alzheimer diseaseR01AG061383 · NIA · UNIVERSITY OF WASHINGTON · PI SHI, MIN · 2019 to 2023
$3.4M
Extracellular vesicle transport of brain-derived proteins to the blood in Alzheimer diseaseR01AG068406 · NIA · UNIVERSITY OF WASHINGTON · PI SHI, MIN · 2024 to 2024
$704k
NIA NIH HHS R01 AG061383NIA NIH HHS R01 AG068406
6 · The paper itself

Abstract

Peripheral biomarkers indicative of brain pathology are critically needed for early detection of Parkinson's disease (PD). In this study, using NanoString and digital PCR technologies, we began by screening for alterations in genes associated with PD or atypical Parkinsonism in erythrocytes of PD patients, in which PD-related changes have been reported, and which contain ~ 99% of blood α-synuclein. Erythrocytic CHCHD2 mRNA was significantly reduced even at the early stages of the disease. A significant reduction in protein and/or mRNA expression of CHCHD2 was confirmed in PD brains collected at autopsy as well as in the brains of a PD animal model overexpressing α-synuclein, in addition to seeing a reduction of CHCHD2 in erythrocytes of the same animals. Overexpression of α-synuclein in cellular models of PD also resulted in reduced CHCHD2, via mechanisms likely involving altered subcellular localization of p300 histone acetyltransferase. Finally, the utility of reduced CHCHD2 mRNA as a biomarker for detecting PD, including early-stage PD, was validated in a larger cohort of 205 PD patients and 135 normal controls, with a receiver operating characteristic analysis demonstrating > 80% sensitivity and specificity.

Indexed as

RNA, MessengerAgedAged, 80 and overalpha-SynucleinAnimalsAutopsyBiomarkersBrainCohort StudiesDisease Models, AnimalDNA-Binding ProteinsErythrocytesFemaleHumansMaleMicealpha-SynucleinBiomarkersCHCHD2 protein, humanDNA-Binding Proteinsp300-CBP Transcription FactorsRNA, MessengerTranscription FactorsCHCHD2Mitochondria dysfunctionParkinson’s diseaseα-synuclein

Identifiers

PMID33685516
PMCPMC7941904
OpenAlexW3135445047

What OpenQuestion holds

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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.