Evidence map›Paper›PMID 32322099›Full record

ReviewNature reviews. Neurology2020

Multilevel omics for the discovery of biomarkers and therapeutic targets for stroke.

Joan Montaner, Laura Ramiro, Alba Simats, Steffen Tiedt, Konstantinos Makris, Glen C Jickling, Stephanie Debette, Jean-Charles Sanchez, Alejandro Bustamante

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
194citing papers in PubMed, 11 pooled it
–field-weighted citation impact
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

194 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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134 more citing papers are in PubMed but not listed here.

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

9 authors.

Joan Montaner *Neurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Barcelona, Spain. joan.montaner@vhir.org.ORCID 0000-0003-4845-2279
Laura RamiroNeurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Barcelona, Spain.
Alba SimatsNeurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Barcelona, Spain.
Steffen TiedtInstitute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-8817-8457
Konstantinos MakrisClinical Biochemistry Department, KAT General Hospital, Kifissia, Athens, Greece.ORCID 0000-0002-7896-9028
Glen C JicklingDepartment of Neurology, University of Alberta, Edmonton, AB, Canada.
Stephanie DebetteUniversity of Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, Bordeaux, France.
Jean-Charles SanchezTranslational Biomarker Group, Faculty of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-8733-5932
Alejandro BustamanteNeurovascular Research Laboratory, Vall d'Hebron Institute of Research, Universitat Autònoma de Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite many years of research, no biomarkers for stroke are available to use in clinical practice. Progress in high-throughput technologies has provided new opportunities to understand the pathophysiology of this complex disease, and these studies have generated large amounts of data and information at different molecular levels. The integration of these multi-omics data means that thousands of proteins (proteomics), genes (genomics), RNAs (transcriptomics) and metabolites (metabolomics) can be studied simultaneously, revealing interaction networks between the molecular levels. Integrated analysis of multi-omics data will provide useful insight into stroke pathogenesis, identification of therapeutic targets and biomarker discovery. In this Review, we detail current knowledge on the pathology of stroke and the current status of biomarker research in stroke. We summarize how proteomics, metabolomics, transcriptomics and genomics are all contributing to the identification of new candidate biomarkers that could be developed and used in clinical stroke management.

Indexed as

BiomarkersGenomicsHigh-Throughput Screening AssaysHumansIschemic StrokeMetabolomicsProteomicsStrokeBiomarkers

Identifiers

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.