Evidence map›Paper›PMID 33148011›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2021

Transcriptomic profiles in Parkinson's disease.

Lille Kurvits, Freddy Lättekivi, Ene Reimann, Liis Kadastik-Eerme, Kristjan M Kasterpalu, Sulev Kõks, Pille Taba, Anu Planken

Open access · greenAbstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 12% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 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

8 authors at 4 institutions in 3 countries.

Lille KurvitsDepartment of Neurology and Neurosurgery, University of Tartu, Tartu 50406, Estonia.ORCID 0000-0002-5027-3539
Freddy LättekiviInstitute of Pathophysiology, University of Tartu, Tartu 50411, Estonia.ORCID 0000-0003-0121-1056
Ene ReimannEstonian Genome Center Science Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
Liis Kadastik-EermeDepartment of Neurology and Neurosurgery, University of Tartu, Tartu 50406, Estonia.
Kristjan M KasterpaluEstonian Defence Forces, Tallinn 15007, Estonia.ORCID 0000-0002-8852-5850
Sulev KõksCentre for Comparative Genomics, Murdoch University, Perth, WA 6150, Australia.ORCID 0000-0001-6087-6643
Pille TabaDepartment of Neurology and Neurosurgery, University of Tartu, Tartu 50406, Estonia.
Anu PlankenDepartment of Neurology and Neurosurgery, University of Tartu, Tartu 50406, Estonia.
Tartu University Hospital · EEUniversity of Tartu · EEMurdoch University · AUNATO Cooperative Cyber Defence Centre of Excellence · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomics in Parkinson's disease offers insights into the pathogenesis of Parkinson's disease but obtaining brain tissue has limitations. In order to bypass this issue, we profile and compare differentially expressed genes and enriched pathways (KEGG) in two peripheral tissues (blood and skin) of 12 Parkinson's disease patients and 12 healthy controls using RNA-sequencing technique and validation with RT-qPCR. Furthermore, we compare our results to previous Parkinson's disease

Indexed as

Gene Expression ProfilingAgedAged, 80 and overBrainFemaleGene Expression RegulationHumansMaleMeta-Analysis as TopicMiddle AgedParkinson DiseaseSignal TransductionSkinTranscriptomeBiomarkersbloodbrainneurodegenerationskintranscriptomics

Identifiers

PMID33148011
PMCPMC7934142
OpenAlexW3094690363

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.