Evidence map›Paper›PMID 35075176›Full record

ArticleScientific reports2022

Identification of key regulators in Sarcoidosis through multidimensional systems biological approach.

Safia Tazyeen, Mohd Murshad Ahmed, Anam Farooqui, Aftab Alam, Md Zubbair Malik, Mohd Saeed, Irfan Ahmad, Mohammed Abohashrh, R K Brojen Singh, Romana Ishrat

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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.

Safia TazyeenCentre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New Delhi, 110025, India.
Mohd Murshad AhmedCentre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New Delhi, 110025, India.
Anam FarooquiCentre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New Delhi, 110025, India.
Aftab AlamCentre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New Delhi, 110025, India.
Md Zubbair MalikSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Mohd SaeedDepartment of Biology, College of Sciences, University of Hail, Hail, 2440, Saudi Arabia.
Irfan AhmadDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia.
Mohammed AbohashrhDepartment of Basic Medical Sciences, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia.
R K Brojen SinghSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India. brojen@jnu.ac.in.
Romana IshratCentre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, New Delhi, 110025, India. romana05@gmail.com.
Jamia Millia Islamia · INJawaharlal Nehru University · INKing Khalid University · SAUniversity of Ha'il · SA

Funding

Indian Council of Medical Research ISRM/11(07)/2019King Khalid University G.R.P2/205/42
6 · The paper itself

Abstract

Sarcoidosis is a multi-organ disorder where immunology, genetic and environmental factors play a key role in causing Sarcoidosis, but its molecular mechanism remains unclear. Identification of its genetics profiling that regulates the Sarcoidosis network will be one of the main challenges to understand its aetiology. We have identified differentially expressed genes (DEGs) by analyzing the gene expression profiling of Sarcoidosis and compared it with healthy control. Gene set enrichment analysis showed that these DEGs were mainly enriched in the inflammatory response, immune system, and pathways in cancer. Sarcoidosis protein interaction network was constructed by a total of 877 DEGs (up-down) and calculated its network topological properties, which follow hierarchical scale-free fractal nature up to six levels of the organization. We identified a large number of leading hubs that contain six key regulators (KRs) including ICOS, CTLA4, FLT3LG, CD33, GPR29 and ITGA4 are deeply rooted in the network from top to bottom, considering a backbone of the network. We identified the transcriptional factors (TFs) which are closely interacted with KRs. These genes and their TFs regulating the Sarcoidosis network are expected to be the main target for the therapeutic approaches and potential biomarkers. However, experimental validations of KRs needed to confirm their efficacy.

Indexed as

Case-Control StudiesGene Expression ProfilingGene Regulatory NetworksHumansProtein Interaction MapsSarcoidosis

Identifiers

PMID35075176
PMCPMC8786862
OpenAlexW4207021501

What OpenQuestion holds

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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 OpenQuestion graph.