Robustness Analyses Substantially Narrow in silico Network-Toxicology Signals Linking Selected Pharmaceuticals and Caffeine to Vitiligo

Mahir Dığış, Kısmet Kaya, Betul DemirDepartment of Dermatology and Venereology, Faculty of Medicine, Fırat University, Elazığ, TurkeyCorrespondence: Mahir Dığış, Department of Dermatology and Venereology, Faculty of Medicine, Fırat University, Elazığ, 23119, Turkey, Tel: +90 506 810 0438, Email [email protected]: Network-toxicology and molecular-docking pipelines are widely used to link environmental chemicals to disease targets, but their outputs are rarely subjected to external validation, background-aware significance testing, or promiscuity controls.Methods: This fully computational (in silico) study applied a conventional network-toxicology and molecular-docking pipeline to vitiligo and eleven compounds—caffeine, four antibiotics, two angiotensin-receptor blockers, two statins, a proton-pump inhibitor and an antidepressant—adopted verbatim from a published study, holding chemical input constant. The output was stress-tested by core-tier threshold sensitivity, external cross-platform validation in two independent cohorts with the receiver-operating-characteristic (ROC) direction fixed in advance, background-restricted overlap-significance testing, and caffeine-exclusion sensitivity analysis.Results: The 102-gene target set did not intersect the high-confidence vitiligo core tier (overlap = 0, stable above 0.170) and gave a 22-gene extended-tier intersection, in which HIF1A was the highest-degree node and five key differentially expressed genes discriminated lesional from non-lesional skin at areas under the ROC curve (AUC) of 0.73– 0.87. Every check degraded this. The overlap was enriched against a protein-coding background (fold 2.49, p = 5.1× 10− 5) but not against the 5601-gene mineable universe (fold 1.29, p = 0.12). External discrimination did not replicate: with the direction fixed, seven of ten gene–cohort estimates fell below 0.50, none with a lower confidence bound above 0.50; HIF1A fell to 0.32 and 0.45, and EDNRA, apparently validating at 0.96 under automatic direction selection, reversed reproducibly to 0.04 (95% CI 0.00– 0.24). Caffeine exclusion left two genes. No gene cleared all four checks.Conclusion: Validation and robustness checks converted an apparently supported mechanistic network into a result with no surviving gene-level candidate. The most consequential was a library default: within-cohort ROC direction selection turned a contradicted gene into the apparently strongest validation. Such checks should be standard, not optional. No causal or exposure-related association was demonstrated.Keywords: vitiligo, network toxicology, molecular docking, pharmaceuticals and personal care products, external validation, reproducibility

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Dove Medical Press (Taylor and Francis Group)
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2026-09-20
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melanin and skin pigmentation
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article

Robustness Analyses Substantially Narrow in silico Network-Toxicology Signals Linking Selected Pharmaceuticals and Caffeine to Vitiligo

Mahir Dığış, Kısmet Kaya, Betul Demir
Dove Medical Press (Taylor and Francis Group)
melanin and skin pigmentation
article

Robustness Analyses Substantially Narrow in silico Network-Toxicology Signals Linking Selected Pharmaceuticals and Caffeine to Vitiligo

Mahir Dığış, Kısmet Kaya, Betul Demir
article en

Abstract

Mahir Dığış, Kısmet Kaya, Betul DemirDepartment of Dermatology and Venereology, Faculty of Medicine, Fırat University, Elazığ, TurkeyCorrespondence: Mahir Dığış, Department of Dermatology and Venereology, Faculty of Medicine, Fırat University, Elazığ, 23119, Turkey, Tel: +90 506 810 0438, Email [email protected]: Network-toxicology and molecular-docking pipelines are widely used to link environmental chemicals to disease targets, but their outputs are rarely subjected to external validation, background-aware significance testing, or promiscuity controls.Methods: This fully computational (in silico) study applied a conventional network-toxicology and molecular-docking pipeline to vitiligo and eleven compounds—caffeine, four antibiotics, two angiotensin-receptor blockers, two statins, a proton-pump inhibitor and an antidepressant—adopted verbatim from a published study, holding chemical input constant. The output was stress-tested by core-tier threshold sensitivity, external cross-platform validation in two independent cohorts with the receiver-operating-characteristic (ROC) direction fixed in advance, background-restricted overlap-significance testing, and caffeine-exclusion sensitivity analysis.Results: The 102-gene target set did not intersect the high-confidence vitiligo core tier (overlap = 0, stable above 0.170) and gave a 22-gene extended-tier intersection, in which HIF1A was the highest-degree node and five key differentially expressed genes discriminated lesional from non-lesional skin at areas under the ROC curve (AUC) of 0.73– 0.87. Every check degraded this. The overlap was enriched against a protein-coding background (fold 2.49, p = 5.1× 10− 5) but not against the 5601-gene mineable universe (fold 1.29, p = 0.12). External discrimination did not replicate: with the direction fixed, seven of ten gene–cohort estimates fell below 0.50, none with a lower confidence bound above 0.50; HIF1A fell to 0.32 and 0.45, and EDNRA, apparently validating at 0.96 under automatic direction selection, reversed reproducibly to 0.04 (95% CI 0.00– 0.24). Caffeine exclusion left two genes. No gene cleared all four checks.Conclusion: Validation and robustness checks converted an apparently supported mechanistic network into a result with no surviving gene-level candidate. The most consequential was a library default: within-cohort ROC direction selection turned a contradicted gene into the apparently strongest validation. Such checks should be standard, not optional. No causal or exposure-related association was demonstrated.Keywords: vitiligo, network toxicology, molecular docking, pharmaceuticals and personal care products, external validation, reproducibility

Dove Medical Press (Taylor and Francis Group)
Reduced inequalities
Openalex Percentile: Top 14%
melanin and skin pigmentation
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