Evidence map›Paper›PMID 35198572›Full record

ArticleFrontiers in medicine2021

Transcriptome-Based Molecular Networks Uncovered Interplay Between Druggable Genes of CD8

Faten Ahmad Alsulaimany, Nidal M Omer Zabermawi, Haifa Almukadi, Snijesh V Parambath, Preetha Jayasheela Shetty, Venkatesh Vaidyanathan, Ramu Elango, Babajan Babanaganapalli, Noor Ahmad Shaik

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. 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
0.7field-weighted citation impact, top 31% 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, 7 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

9 authors at 4 institutions in 4 countries.

Faten Ahmad AlsulaimanyDepartment of Biology, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Nidal M Omer ZabermawiDepartment of Biology, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Haifa AlmukadiDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.
Snijesh V ParambathDivision of Molecular Medicine, St. John's Research Institute, Bangalore, India.
Preetha Jayasheela ShettyDepartment of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, United Arab Emirates.
Venkatesh VaidyanathanAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand.
Ramu ElangoPrincess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia.
Babajan BabanaganapalliPrincess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia.
Noor Ahmad ShaikPrincess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia.
King Abdulaziz University · SAGulf Medical University · AESt. John's National Academy of Health Sciences · INUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is a major infectious disease, where incomplete information about host genetics and immune responses is hindering the development of transformative therapies. This study characterized the immune cell landscape and blood transcriptomic profile of patients with pulmonary TB (PTB) to identify the potential therapeutic biomarkers.

methodsThe blood transcriptome profile of patients with PTB and controls were used for fractionating immune cell populations with the CIBERSORT algorithm and then to identify differentially expressed genes (DEGs) with R/Bioconductor packages. Later, systems biology investigations (such as semantic similarity, gene correlation, and graph theory parameters) were implemented to prioritize druggable genes contributing to the immune cell alterations in patients with TB. Finally, real time-PCR (RT-PCR) was used to confirm gene expression levels.

resultsPatients with PTB had higher levels of four immune subpopulations like CD8

conclusionThe changes in immune cell proportion and the downregulation of T cell-related genes may provide new insights in developing therapeutic compounds against chronic TB.

Indexed as

CD8+T cellsdrug targetgene express profileimmune pathwaysMycobacterium tuberculosis

Identifiers

PMID35198572
PMCPMC8859411
OpenAlexW4210858642

What OpenQuestion holds

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LicenceCC BY
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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.