Evidence map›Paper›PMID 32027667›Full record

ArticlePloS one2020

Unraveling the role of salt-sensitivity genes in obesity with integrated network biology and co-expression analysis.

Jamal Sabir M Sabir, Abdelfatteh El Omri, Babajan Banaganapalli, Nada Aljuaid, Abdulkader M Shaikh Omar, Abdulmalik Altaf, Nahid H Hajrah, Houda Zrelli, Leila Arfaoui, Ramu Elango and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 11 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

15 authors at 1 institution in 2 countries.

Jamal Sabir M SabirCenter of Excellence in Bionanoscience Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Abdelfatteh El OmriCenter of Excellence in Bionanoscience Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Babajan BanaganapalliDepartment of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Nada AljuaidGenomics and Biotechnology Section and Research Group, Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Abdulkader M Shaikh OmarBiology, Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Abdulmalik AltafDepartment of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Nahid H HajrahCenter of Excellence in Bionanoscience Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Houda ZrelliCenter of Excellence in Bionanoscience Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Leila ArfaouiClinical Nutrition Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Ramu ElangoDepartment of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Mona G AlharbiBiology, Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Alawiah M AlhebshiBiology, Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Robert K JansenCenter of Excellence in Bionanoscience Research, King Abdulaziz University, Jeddah, Saudi Arabia.
Noor A ShaikDepartment of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Muhummadh KhanCenter of Excellence in Bionanoscience Research, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0001-9523-6638
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a multifactorial disease caused by complex interactions between genes and dietary factors. Salt-rich diet is related to the development and progression of several chronic diseases including obesity. However, the molecular basis of how salt sensitivity genes (SSG) contribute to adiposity in obesity patients remains unexplored. In this study, we used the microarray expression data of visceral adipose tissue samples and constructed a complex protein-interaction network of salt sensitivity genes and their co-expressed genes to trace the molecular pathways connected to obesity. The Salt Sensitivity Protein Interaction Network (SSPIN) of 2691 differentially expressed genes and their 15474 interactions has shown that adipose tissues are enriched with the expression of 23 SSGs, 16 hubs and 84 bottlenecks (p = 2.52 x 10-16) involved in diverse molecular pathways connected to adiposity. Fifteen of these 23 SSGs along with 8 other SSGs showed a co-expression with enriched obesity-related genes (r ≥ 0.8). These SSGs and their co-expression partners are involved in diverse metabolic pathways including adipogenesis, adipocytokine signaling pathway, renin-angiotensin system, etc. This study concludes that SSGs could act as molecular signatures for tracing the basis of adipogenesis among obese patients. Integrated network centered methods may accelerate the identification of new molecular targets from the complex obesity genomics data.

Indexed as

AdiposityAdolescentCase-Control StudiesEpistasis, GeneticFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMicroarray AnalysisPediatric ObesitySalt StressSodium Chloride, DietarySystems IntegrationYoung AdultSodium Chloride, Dietary

Identifiers

PMID32027667
PMCPMC7004317
OpenAlexW3004643466

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.