Repurposing <i>T-614</i> for Gout: An In Silico Framework Integrating Network Pharmacology, Mendelian Randomization, and Single-Cell and Molecular Dynamics Analyses

High Resolution Image Download MS PowerPoint Slide Background: Gout, an inflammatory arthritis driven by urate crystal deposition, still lacks therapies that are effective and well-tolerated. T-614 (iguratimod), an immunomodulatory drug approved for rheumatoid arthritis, has shown promise in Gout, but its molecular and immunogenetic mechanisms remain unclear. Methods: We assessed the druggability and pharmacokinetic properties of T-614 using SwissADME and ADMET Lab 2.0. Network pharmacology identified overlapping targets between T-614 and Gout and constructed a STRING-based protein–protein interaction network with GO/KEGG enrichment. A two-sample Mendelian randomization (MR) analysis of 731 immune-cell traits and Gout (FinnGen R9) identified causal immunophenotypes. Molecular docking, 100 ns molecular dynamics (MD) simulations, and MM/GBSA calculations were carried out for AKT1 (with docking support for TNF and IL1B ). Public single-cell RNA sequencing (scRNA-seq) data of peripheral blood mononuclear cells were analyzed to profile cell-type-specific expression of core targets. Results: T-614 displayed favorable oral drug-likeness (QED = 0.641), high predicted plasma protein binding (PPB ≈ 94.22%), and limited blood–brain barrier penetration. AKT1, TNF, and IL1B were prioritized as putative hub targets by network-based analyses in PI3K/AKT, MAPK, and TNF signaling. Docking and representative MD/MM-GBSA analyses supported a thermodynamically favorable and dynamically stable binding mode AKT1/T-614 complex. MR identified 29 immune-cell traits genetically associated with Gout susceptibility, providing population-level causal inference and highlighting proinflammatory CD16 + monocytes and dysfunctional CD25 + Tregs, and scRNA-seq confirmed expression of AKT1, TNF, and IL1B in these Gout-relevant immune subsets. Conclusion: This integrative in silico framework suggests that T-614 could structurally engage multiple immunomodulator targets relevant to Gout and generates genetically and cell-type-informed hypotheses that require biochemical, cellular, and in vivo validation.

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Publication Details

Journal
ACS Omega
Published
2026-06-16
DOI
https://doi.org/10.1021/acsomega.5c11807
Primary Topic
Gout, Hyperuricemia, Uric Acid
Type
article
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0.00
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article

Repurposing T-614 for Gout: An In Silico Framework Integrating Network Pharmacology, Mendelian Randomization, and Single-Cell and Molecular Dynamics Analyses

Ye Zhang, Huiqiong Zeng, Wei Liu, Junda Lai et al.
ACS Omega
Gout, Hyperuricemia, Uric Acid
article

Repurposing T-614 for Gout: An In Silico Framework Integrating Network Pharmacology, Mendelian Randomization, and Single-Cell and Molecular Dynamics Analyses

Ye Zhang, Huiqiong Zeng, Wei Liu, Junda Lai, Zebin Liu, Songqing Lin
article en

Abstract

High Resolution Image Download MS PowerPoint Slide Background: Gout, an inflammatory arthritis driven by urate crystal deposition, still lacks therapies that are effective and well-tolerated. T-614 (iguratimod), an immunomodulatory drug approved for rheumatoid arthritis, has shown promise in Gout, but its molecular and immunogenetic mechanisms remain unclear. Methods: We assessed the druggability and pharmacokinetic properties of T-614 using SwissADME and ADMET Lab 2.0. Network pharmacology identified overlapping targets between T-614 and Gout and constructed a STRING-based protein–protein interaction network with GO/KEGG enrichment. A two-sample Mendelian randomization (MR) analysis of 731 immune-cell traits and Gout (FinnGen R9) identified causal immunophenotypes. Molecular docking, 100 ns molecular dynamics (MD) simulations, and MM/GBSA calculations were carried out for AKT1 (with docking support for TNF and IL1B ). Public single-cell RNA sequencing (scRNA-seq) data of peripheral blood mononuclear cells were analyzed to profile cell-type-specific expression of core targets. Results: T-614 displayed favorable oral drug-likeness (QED = 0.641), high predicted plasma protein binding (PPB ≈ 94.22%), and limited blood–brain barrier penetration. AKT1, TNF, and IL1B were prioritized as putative hub targets by network-based analyses in PI3K/AKT, MAPK, and TNF signaling. Docking and representative MD/MM-GBSA analyses supported a thermodynamically favorable and dynamically stable binding mode AKT1/T-614 complex. MR identified 29 immune-cell traits genetically associated with Gout susceptibility, providing population-level causal inference and highlighting proinflammatory CD16 + monocytes and dysfunctional CD25 + Tregs, and scRNA-seq confirmed expression of AKT1, TNF, and IL1B in these Gout-relevant immune subsets. Conclusion: This integrative in silico framework suggests that T-614 could structurally engage multiple immunomodulator targets relevant to Gout and generates genetically and cell-type-informed hypotheses that require biochemical, cellular, and in vivo validation.

ACS Omega
Women's & Children's Health Research Institute (AU), Chinese University of Hong Kong, Shenzhen (CN), National Clinical Research (US), First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (CN), Beijing Sport University (CN)
Zero hunger
Openalex Percentile: Top 7%
Gout, Hyperuricemia, Uric Acid
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