Evidence map›Paper›PMID 37118411›Full record

ArticleNature aging2021

Deep sequencing of sncRNAs reveals hallmarks and regulatory modules of the transcriptome during Parkinson's disease progression.

Fabian Kern, Tobias Fehlmann, Ivo Violich, Eric Alsop, Elizabeth Hutchins, Mustafa Kahraman, Nadja L Grammes, Pedro Guimarães, Christina Backes, Kathleen L Poston and 11 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature aging, 2021. 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
3.0field-weighted citation impact, top 7% 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, 56 citations in OpenAlex.

  1. microRNA-7-5p and α-Synuclein SAA Predict Parkinson's Disease Phenoconversion.Annals of clinical and translational neurology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 8 institutions in 3 countries.

Fabian KernChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Tobias FehlmannChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.ORCID 0000-0003-1967-2918
Ivo ViolichKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Eric AlsopNeurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA.
Elizabeth HutchinsNeurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA.ORCID 0000-0003-2543-0798
Mustafa KahramanChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Nadja L GrammesChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Pedro GuimarãesChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Christina BackesChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Kathleen L PostonDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
Bradford CaseyThe Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA.ORCID 0000-0002-2623-5997
Rudi BallingLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Lars GeffersLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Rejko KrügerLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.ORCID 0000-0003-4258-6241
Douglas GalaskoDepartment of Neurology, University of California, San Diego, La Jolla, CA, USA.
Brit MollenhauerDepartment of Neurology, University Medical Center Göttingen, Göttingen, Germany.
Eckart MeeseDepartment of Human Genetics, Saarland University, Homburg, Germany.
Tony Wyss-CorayDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5893-0831
David W CraigKeck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Kendall Van Keuren-JensenNeurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany. andreas.keller@ccb.uni-saarland.de.ORCID 0000-0002-5361-0895
Saarland University · DETranslational Genomics Research Institute · USUniversity of Luxembourg · LUStanford University · USUniversity of Southern California · USMichael J. Fox Foundation · USUniversitätsmedizin Göttingen · DEUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding RNAs have diagnostic and prognostic importance in Parkinson's disease (PD). We studied circulating small noncoding RNAs (sncRNAs) in two large-scale longitudinal PD cohorts (Parkinson's Progression Markers Initiative (PPMI) and Luxembourg Parkinson's Study (NCER-PD)) and modeled their impact on the transcriptome. Sequencing of sncRNAs in 5,450 blood samples of 1,614 individuals in PPMI yielded 323 billion reads, most of which mapped to microRNAs but covered also other RNA classes such as piwi-interacting RNAs, ribosomal RNAs and small nucleolar RNAs. Dysregulated microRNAs associated with disease and disease progression occur in two distinct waves in the third and seventh decade of life. Originating predominantly from immune cells, they resemble a systemic inflammation response and mitochondrial dysfunction, two hallmarks of PD. Profiling 1,553 samples from 1,024 individuals in the NCER-PD cohort validated biomarkers and main findings by an independent technology. Finally, network analysis of sncRNA and transcriptome sequencing from PPMI identified regulatory modules emerging in patients with progressing PD.

Indexed as

MicroRNAsParkinson DiseaseRNA, Small UntranslatedDisease ProgressionHigh-Throughput Nucleotide SequencingHumansTranscriptomeMicroRNAsRNA, Small Untranslated

Identifiers

PMID37118411
OpenAlexW3137173224

What OpenQuestion 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 OpenQuestion graph.