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. 2025 Jul 2;15(1):22817.
doi: 10.1038/s41598-025-02381-5.

Using network toxicology and molecular docking to identify core targets and pathways underlying tacrolimus-induced tremor in organ transplant recipients

Affiliations

Using network toxicology and molecular docking to identify core targets and pathways underlying tacrolimus-induced tremor in organ transplant recipients

Chao Liu et al. Sci Rep. .

Abstract

Tacrolimus, the most commonly prescribed immunosuppressant following organ transplantation, is associated with various neurotoxic effects, notably tremor, which significantly impacts the quality of life of recipients. The precise mechanisms underlying tacrolimus-induced tremor remain unclear. To investigate this, we employed network toxicology and molecular docking methodologies to identify potential targets and pathways. The SMILES representation of tacrolimus was retrieved from the PubChem database, and toxicity predictions were performed using ProTox-3.0 and ADMETlab 3.0. Targets related to tacrolimus and tremor-associated diseases were identified from public databases. Protein-protein interaction networks and functional enrichment analyses were conducted using STRING and Cytoscape. Molecular docking studies were carried out with CB-Dock2. A total of 43 potential targets associated with tacrolimus exposure and tremor were identified, out of which five core targets were filtered through STRING and Cytoscape analyses: AKT1, GBA, SCN8A, SCN2A, and SCN4A. Functional enrichment analysis highlighted several critical pathways implicated in tacrolimus-induced tremor, including the Dopaminergic synapse, Parkinson's disease, Rap1 signaling pathway, Spinocerebellar ataxia, and Apoptosis. The results of molecular docking indicated that tacrolimus exhibits the strongest binding affinity toward SCN8A and SCN2A among the core targets. This study suggests that tacrolimus-induced tremor may be closely linked to parkinsonian tremor and provides a theoretical foundation for understanding the neurotoxic effects of tacrolimus. Given the limited research in network toxicology on the specific molecular mechanisms involved, further animal studies are warranted to elucidate these mechanisms in detail.

Keywords: Molecular Docking; Network toxicology; Organ transplantation; Tacrolimus; Tremor.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart of the study.
Fig. 2
Fig. 2
(A) Structure of the tacrolimus compound sourced from the National Center for Biotechnology Information (NCBI) PubChem Compound ID: 445,643. (B) Toxicity radar chart illustrating the toxicity profile of tacrolimus.
Fig. 3
Fig. 3
(A) Venn diagram displaying the common targets between tacrolimus and tremor-associated targets. (B) Network representation of the interactions among Tacrolimus, its targets, and tremor-related genes.
Fig. 4
Fig. 4
(A) Protein-protein interaction (PPI) network diagram derived from the STRING database. (B) Filtered PPI network diagram generated using Cytoscape software.
Fig. 5
Fig. 5
GO enrichment analysis of potential targets (top 10). (A) Histogram showcasing the top 10 enriched terms across BP, CC, and MF. (B) Bubble chart where the size of each bubble corresponds to gene expression levels within the identified pathways.
Fig. 6
Fig. 6
KEGG enrichment analysis of potential targets (top 10). (A) Histogram displaying the frequency and significance of enrichment for each pathway. (B) Bubble chart visualizing the top 10 enriched KEGG signaling pathways, ordered by FDR value.
Fig. 7
Fig. 7
GO and KEGG enrichment analysis of five core targets. (A) Bubble chart visualizing the enriched GO results. (B) Bubble chart visualizing the enriched KEGG signaling pathways, ordered by FDR value.
Fig. 8
Fig. 8
Molecular docking results for core targets. (A) Interaction between tacrolimus and AKT1; (B) Interaction between tacrolimus and GBA; (C) Interaction between tacrolimus and SCN8A; (D) Interaction between tacrolimus and SCN2A; (E) Interaction between tacrolimus and SCN4A.

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