Evidence map›Paper›PMID 36420161›Full record

ArticleComputational and structural biotechnology journal2022

Drug repurposing in psoriasis, performed by reversal of disease-associated gene expression profiles.

Faheem Ahmed, Son Gi Ho, Anupama Samantasinghar, Fida Hussain Memon, Chethikkattuveli Salih Abdul Rahim, Afaque Manzoor Soomro, Pratibha, Naina Sunildutt, Kyung Hwan Kim, Kyung Hyun Choi

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 66 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 2 institutions in 2 countries.

Faheem AhmedDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea.
Son Gi HoBioSpero, Inc., Jeju, Republic of Korea.
Anupama SamantasingharDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea.
Fida Hussain MemonDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea.
Chethikkattuveli Salih Abdul RahimDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea.
Afaque Manzoor SoomroDepartment of Electrical Engineering, Sukkur IBA University, Pakistan.
PratibhaDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea.
Naina SunilduttDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea.
Kyung Hwan KimBioSpero, Inc., Jeju, Republic of Korea.
Kyung Hyun ChoiDepartment of Mechatronics Engineering, Jeju National University, Republic of Korea.
Jeju National University · KRSukkur IBA University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriasis is a skin disease which results in scales on the skin caused by flaky patches. Psoriasis is triggered by various conditions such as drug reactions, trauma, and skin infection etc. Globally, there are 125 million people affected by psoriasis and yet there is no effective treatment available, and it emphasizes the need for discovery of efficacious treatments. De-novo drug development takes 10-17 years and $2-$3 billion of investment with <10 % success rate to bring drug from concept to a market ready product. A possible alternative is drug repurposing, which aims at finding other indications of already approved drugs. In this study, a computational drug repurposing framework is developed and applied to differential gene expressions of Psoriasis targets obtained from the publicly available database (GEO). This strategy uses the gene expression signatures of the Psoriasis and compares it with perturbagen available in the CMap. Based on the connected signature drugs are ranked which could possibly reverse the signatures to stop the psoriasis. The drugs with most negative connectivity scores are ranked efficient and vice versa. The top hit drugs are verified using the literature survey of the peer reviewed journal, electronic health records, patents, and hospital database. As a result, 50/150 and 37/150 drugs are confirmed to have anti-psoriasis efficacy in two datasets. Top 10 drugs are suggested as potential repurposable drugs for psoriasis. This study offers, a powerful yet simple approach for rapid identification of potential drug repurposing candidates in Psoriasis and any disease of interest.

Indexed as

CMapDrug perturbagenDrug repurposingGene expression and reversalPsoriasis

Identifiers

PMID36420161
PMCPMC9668643
OpenAlexW4308748368

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.