Evidence map›Paper›PMID 37902879›Full record

ArticleJournal of neurology2024

Transcriptomic analysis reveals associations of blood-based A-to-I editing with Parkinson's disease.

Weimin Li, Hao Wu, Jinxia Li, Zhuo Wang, Miao Cai, Xiaoli Liu, Ganqiang Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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  7. Neurological update: neuro-otology 2023.Journal of neurology · 2023
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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

7 authors at 3 institutions in 1 country.

Weimin Li *Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Hao Wu *Shenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Jinxia LiShenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China.
Zhuo WangWarshel Institute for Computational Biology, School of Medicine, The Chinese University of Hong Kong, Shenzhen, 518172, Guangdong, People's Republic of China.
Miao CaiNeurology Department, Zhejiang Hospital, Hangzhou, 310013, People's Republic of China.
Xiaoli LiuNeurology Department, Zhejiang Hospital, Hangzhou, 310013, People's Republic of China.
Ganqiang LiuShenzhen Key Laboratory of Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, No.66, Gongchang Road, Guangming District, Shenzhen, 518107, Guangdong, People's Republic of China. liugq3@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-1921-9542
Sun Yat-sen University · CNZhejiang Hospital · CNChinese University of Hong Kong, Shenzhen · CN

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515011440Fundamental Research Funds for the Central Universities,Sun Yat-sen University 2021qntd43National Natural Science Foundation of China 31900475National Natural Science Foundation of China 32270701Shenzhen Fundamental Research Program JCYJ20190807161601692Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases ZDSYS20220606100803007Young Talent Recruitment Project of Guangdong 2019QN01Y139
6 · The paper itself

Abstract

backgroundAdenosine-to-inosine (A-to-I) editing is the most common type of RNA editing in humans and the role of A-to-I RNA editing remains unclear in Parkinson's disease (PD).

objectiveWe aimed to explore the potential causal association between A-to-I editing and PD, and to assess whether changes in A-to-I editing were associated with cognitive progression in PD.

methodsThe RNA-seq data from 380 PD patients and 178 healthy controls in the Parkinson's Progression Marker Initiative cohort was used to quantify A-to-I editing sites. We performed cis-RNA editing quantitative trait loci analysis and a two-sample Mendelian Randomization (MR) study by integrating genome-wide association studies to infer the potential causality between A-to-I editing and PD pathogenesis. The potential causal A-to-I editing sites were further confirmed by Summary-data-based MR analysis. Spearman's correlation analysis was performed to characterize the association between longitudinal A-to-I editing and cognitive progression in patients with PD.

resultsWe identified 17 potential causal A-to-I editing sites for PD and indicated that genetic risk variants may contribute to the risk of PD through A-to-I editing. These A-to-I editing sites were located in genes NCOR1, KANSL1 and BST1. Moreover, we observed 57 sites whose longitudinal A-to-I editing levels correlated with cognitive progression in PD.

conclusionsWe found potential causal A-to-I editing sites for PD onset and longitudinal changes of A-to-I editing were associated with cognitive progression in PD. We anticipate this study will provide new biological insights and drive the discovery of the epitranscriptomic role underlying Parkinson's disease.

Indexed as

Parkinson DiseaseGene Expression ProfilingGenome-Wide Association StudyHumansMendelian Randomization AnalysisQuantitative Trait LociA-to-I editingCognitive progressionMendelian randomizationParkinson’s disease

Identifiers

PMID37902879
OpenAlexW4388023418

What Socratic holds

Textmetadata
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 Socratic graph.