Evidence map›Paper›PMID 38031960›Full record

ArticleMolecular systems biology2023

Integrated systems biology approach identifies gene targets for endothelial dysfunction.

Iguaracy Pinheiro-de-Sousa, Miriam Helena Fonseca-Alaniz, Girolamo Giudice, Iuri Cordeiro Valadão, Silvestre Massimo Modestia, Sarah Viana Mattioli, Ricardo Rosa Junior, Lykourgos-Panagiotis Zalmas, Yun Fang, Evangelia Petsalaki and 1 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
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  4. Review
  5. Article
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

11 authors at 4 institutions in 3 countries.

Iguaracy Pinheiro-de-Sousa *Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0002-3956-3279
Miriam Helena Fonseca-Alaniz *Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0003-2358-9463
Girolamo GiudiceEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-5359-8208
Iuri Cordeiro ValadãoLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.
Silvestre Massimo ModestiaLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.
Sarah Viana MattioliLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0002-4323-1613
Ricardo Rosa JuniorLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0001-5059-5952
Lykourgos-Panagiotis ZalmasWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK.
Yun FangDepartment of Medicine, University of Chicago, Chicago, IL, USA.
Evangelia PetsalakiEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.ORCID 0000-0002-8294-2995
José Eduardo KriegerLaboratory of Genetics and Molecular Cardiology, Heart Institute (InCor)/University of São Paulo Medical School, São Paulo, Brazil.ORCID 0000-0001-5464-1792
Universidade de São Paulo · BREuropean Bioinformatics Institute · GBUniversity of Chicago · USWellcome Sanger Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endothelial dysfunction (ED) is critical in the development and progression of cardiovascular (CV) disorders, yet effective therapeutic targets for ED remain elusive due to limited understanding of its underlying molecular mechanisms. To address this gap, we employed a systems biology approach to identify potential targets for ED. Our study combined multi omics data integration, with siRNA screening, high content imaging and network analysis to prioritise key ED genes and identify a pro- and anti-ED network. We found 26 genes that, upon silencing, exacerbated the ED phenotypes tested, and network propagation identified a pro-ED network enriched in functions associated with inflammatory responses. Conversely, 31 genes ameliorated ED phenotypes, pointing to potential ED targets, and the respective anti-ED network was enriched in hypoxia, angiogenesis and cancer-related processes. An independent screen with 17 drugs found general agreement with the trends from our siRNA screen and further highlighted DUSP1, IL6 and CCL2 as potential candidates for targeting ED. Overall, our results demonstrate the potential of integrated system biology approaches in discovering disease-specific candidate drug targets for endothelial dysfunction.

Indexed as

Systems BiologyRNA, Small InterferingRNA, Small Interferingdata integrationdrug targetsendothelial dysfunctionnetwork analysissystems biology

Identifiers

PMID38031960
PMCPMC10698507
OpenAlexW4389179684

What OpenQuestion holds

Textmetadata
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.