Evidence map›Paper›PMID 39333640›Full record

ArticleScientific reports2024

Integrating protein interaction and pathway crosstalk network reveals a promising therapeutic approach for psoriasis through apoptosis induction.

Masoumeh Farahani, Reza M Robati, Mostafa Rezaei-Tavirani, Fatemeh Fateminasab, Sergey Shityakov, Mohammad Rahmati Roodsari, Zahra Razzaghi, Mona Zamanian Azodi, Saviz Saghari

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

  1. Article
  2. Programmed cell death of keratinocytes: an active driver in psoriasis.Apoptosis : an international journal on programmed cell death · 2026
    Review
  3. Article
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.

Masoumeh FarahaniSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0001-7412-3474
Reza M RobatiSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. rmrobati@gmail.com.ORCID 0000-0002-7947-8642
Mostafa Rezaei-TaviraniProteomics Research Center, System Biology Institute, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. tavirany@yahoo.com.ORCID 0000-0003-1767-7475
Fatemeh FateminasabDepartment of Physical Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran.ORCID 0000-0002-8577-2776
Sergey ShityakovLaboratory of Chemoinformatics, Infochemistry Scientific Center, ITMO University, Saint-Petersburg, Russian Federation.ORCID 0000-0002-6953-9771
Mohammad Rahmati RoodsariSkin Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2604-1444
Zahra RazzaghiLaser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-0039-9501
Mona Zamanian AzodiProteomics Research Center, System Biology Institute, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-1894-5021
Saviz SaghariDepartment of Internal Medicine, West Anaheim Medical Center, Anaheim, CA, USA.

Funding

Shahid Beheshti University of Medical Sciences 43004529
6 · The paper itself

Abstract

Psoriasis is a complex inflammatory skin disease manifested by altered proliferation and differentiation of keratinocytes with dysfunctional apoptosis. This study aimed to identify regulatory factors and comprehend the underlying mechanisms of inefficient apoptosis to open up promising therapeutic approaches. Incorporating human protein interactions, apoptosis proteins, and physical relationships of psoriasis-apoptosis proteins helped us to generate a psoriasis-apoptosis interaction (SAI) network. Subsequently, topological and functional analyses of the SAI network revealed effective proteins, functional modules, hub motifs, dysregulated pathways and transcriptional gene regulatory factors. Network pharmacology, molecular docking and molecular dynamics simulation methods identified the potential drug-target interactions. RELA, MAPK1, MAPK3, MMP9, IL1B, AKT1 and STAT1 were revealed as effective proteins. The MAPK1-MAPK3-RELA motif was identified as a hub regulator in the crosstalk between 41 pathways. Among all pathways, "lipid and atherosclerosis" was found to be the predominant pathway. Acetylcysteine, arsenic-trioxide, β-elemene, bortezomib and curcumin were identified as potential drugs to inhibit pathway crosstalk. Experimental verifications were performed using the literature search, GSE13355 and GSE14905 microarray datasets. Drug-protein-pathway interactions associated with apoptosis were deciphered. These findings highlight the role of hub motif-mediated pathway-pathway crosstalk associated with apoptosis in the complexity of psoriasis and suggest crosstalk inhibition as an effective therapeutic approach.

Indexed as

ApoptosisProtein Interaction MapsPsoriasisSignal TransductionAcetylcysteineBortezomibGene Regulatory NetworksHumansInterleukin-1betaKeratinocytesMolecular Docking SimulationMolecular Dynamics SimulationProto-Oncogene Proteins c-aktSTAT1 Transcription FactorTranscription Factor RelAAcetylcysteineAKT1 protein, humanBortezomibIL1B protein, humanInterleukin-1betaProto-Oncogene Proteins c-aktRELA protein, humanSTAT1 protein, humanSTAT1 Transcription FactorTranscription Factor RelAApoptosisDrugMolecular dynamics simulationPathway crosstalkProtein interactionPsoriasis

Identifiers

PMID39333640
PMCPMC11436859

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.