Evidence map›Paper›PMID 38553458›Full record

ArticleScientific reports2024

A bioinformatics approach to elucidate conserved genes and pathways in C. elegans as an animal model for cardiovascular research.

Ashwini Kumar Ray, Anjali Priya, Md Zubbair Malik, Thangavel Alphonse Thanaraj, Alok Kumar Singh, Payal Mago, Chirashree Ghosh, Shalimar, Ravi Tandon, Rupesh Chaturvedi

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In one paragraph

Article in Scientific reports, 2024. 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
2.1field-weighted citation impact, top 14% 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.

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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

10 authors at 4 institutions in 2 countries.

Ashwini Kumar Ray *Department of Environmental Studies, University of Delhi, New Delhi, India. aray@es.du.ac.in.
Anjali Priya *Department of Environmental Studies, University of Delhi, New Delhi, India.
Md Zubbair MalikDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait. zubair.bioinfo@gmail.com.
Thangavel Alphonse ThanarajDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Alok Kumar SinghDepartment of Zoology, Ramjas College, University of Delhi, New Delhi, India.
Payal MagoShaheed Rajguru College of Applied Science for Women, University of Delhi, New Delhi, India.
Chirashree GhoshDepartment of Environmental Studies, University of Delhi, New Delhi, India.
ShalimarDepartment of Gastroenterology, All India Institute of Medical Science, New Delhi, India.
Ravi TandonLaboratory of AIDS Research and Immunology, School of Biotechnology, Jawaharlal Nehru University, New Delhi, India.
Rupesh ChaturvediSchool of Biotechnology, Jawaharlal Nehru University, New Delhi, India.
University of Delhi · INDasman Diabetes Institute · KWJawaharlal Nehru University · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a collective term for disorders of the heart and blood vessels. The molecular events and biochemical pathways associated with CVD are difficult to study in clinical settings on patients and in vitro conditions. Animal models play a pivotal and indispensable role in CVD research. Caenorhabditis elegans, a nematode species, has emerged as a prominent experimental organism widely utilized in various biomedical research fields. However, the specific number of CVD-related genes and pathways within the C. elegans genome remains undisclosed to date, limiting its in-depth utilization for investigations. In the present study, we conducted a comprehensive analysis of genes and pathways related to CVD within the genomes of humans and C. elegans through a systematic bioinformatic approach. A total of 1113 genes in C. elegans orthologous to the most significant CVD-related genes in humans were identified, and the GO terms and pathways were compared to study the pathways that are conserved between the two species. In order to infer the functions of CVD-related orthologous genes in C. elegans, a PPI network was constructed. Orthologous gene PPI network analysis results reveal the hubs and important KRs: pmk-1, daf-21, gpb-1, crh-1, enpl-1, eef-1G, acdh-8, hif-1, pmk-2, and aha-1 in C. elegans. Modules were identified for determining the role of the orthologous genes at various levels in the created network. We also identified 9 commonly enriched pathways between humans and C. elegans linked with CVDs that include autophagy (animal), the ErbB signaling pathway, the FoxO signaling pathway, the MAPK signaling pathway, ABC transporters, the biosynthesis of unsaturated fatty acids, fatty acid metabolism, glutathione metabolism, and metabolic pathways. This study provides the first systematic genomic approach to explore the CVD-associated genes and pathways that are present in C. elegans, supporting the use of C. elegans as a prominent animal model organism for cardiovascular diseases.

Indexed as

Caenorhabditis elegans ProteinsCardiovascular DiseasesAnimalsCaenorhabditis elegansComputational BiologyHumansModels, AnimalCaenorhabditis elegans ProteinsAnimal modelsCardiovascular diseaseC. elegansOrthologous genesPPI network

Identifiers

PMID38553458
PMCPMC10980734
OpenAlexW4393311439

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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.