Evidence map›Paper›PMID 42331804›Full record

ArticleNPJ systems biology and applications2026

Vitiligo Information Resource database v3.

Abhishek Sengupta, Vishal Singh, Muskan Syed, Alakto Choudhury, Payal Gupta, Somesh Gupta, Priyanka Narad

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Abhishek SenguptaSystems Biology and Data Analytics Research Laboratory, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0000-0002-3958-3675
Vishal SinghSystems Biology and Data Analytics Research Laboratory, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0009-0008-8235-8933
Muskan SyedSystems Biology and Data Analytics Research Laboratory, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0009-0002-8682-4539
Alakto ChoudhurySystems Biology and Data Analytics Research Laboratory, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0000-0002-4340-2179
Payal GuptaSystems Biology and Data Analytics Research Laboratory, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.ORCID http://orcid.org/0000-0001-9965-3789
Somesh GuptaDepartment of Dermatology and Venereology, All India Institute of Medical Sciences, Delhi, India.ORCID http://orcid.org/0000-0003-3015-8602
Priyanka NaradDivision of Development Research, Indian Council of Medical Research, Ansari Nagar, Delhi, India. priyanka.narad@gmail.com.ORCID http://orcid.org/0000-0001-7317-654X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo is a multifaceted autoimmune skin disease characterized by the loss of epidermal melanocytes, yet its molecular basis remains poorly understood. To address the need for a specialized systems biology interface, we present VIRdb v3.0, an integrative database combining curated transcriptomics-based datasets with differentially expressed genes, a protein-protein interaction network highlighting regulatory hubs, and an enriched library of natural compounds and FDA-approved drugs targeting vitiligo-related proteins. The platform supports pathway enrichment, molecular docking, and cross-disease comparisons with autoimmune disorders to identify shared molecular signatures. Backend redevelopment using the Django framework enables scalability and real-time data integration. The updated platform now also supports z-score normalization of expression data, multi-gene pathway enrichment queries, and comparative gene-gene interaction networks for vitiligo and its comorbid autoimmune conditions. VIRdb v3.0 facilitates hypothesis generation, biomarker discovery, and therapeutic exploration, advancing vitiligo systems biology. The database is freely accessible at https://virdb.sbdaresearch.in/ .

Indexed as

VitiligoAutoimmune DiseasesBiocurationComputational BiologyDatabases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansProtein Interaction MapsSystems BiologyTranscriptome

Identifiers

PMID42331804
PMCPMC13646274

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.