Metabolic reprogramming in malignant A375 cells treated with a ruthenium (II) complex: insights from GCxGC-TOF/MS metabolomics.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Metabolomics Pub Date : 2025-01-20 DOI:10.1007/s11306-025-02221-7
Francis Adu-Amankwaah, Ayesha Hussan, Gershon Amenuvor, Vuyo Mavumengwana, Lungile Sitole
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引用次数: 0

Abstract

Introduction: Melanoma is an aggressive form of cancer characterised by its high metabolic adaptability that contributes to drug resistance. To this end, ruthenium complexes have emerged as a promising class of compounds in the discovery of cancer drugs due to their unique chemical properties and potential to overcome some of the limitations of conventional chemotherapy. In our previous study, we synthesised, characterised, and performed cytotoxicity tests of a ruthenium (II) complex (GA113) against the malignant A375 melanoma cell line. Our previous findings revealed favourable cytotoxicity, with an IC50 value of 8.76 µM which formed the basis current study.

Objective: Elucidate the metabolic mechanism of GA113 in malignant A753 melanoma cells.

Method: A two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC-TOF/MS) cellular metabolomics approach was used, and univariate and multivariate statistical methods were applied to the metabolomics data.

Results: 33 metabolites were identified as significant discriminators between GA113-treated and untreated A375 melanoma cells. Changes in 19 of these 33 metabolites were mapped to pantothenate and coenzyme A biosynthesis, citrate cycle, cysteine and methionine metabolism, arginine and proline metabolism, and alanine, aspartate, and glutamate metabolism.

Conclusion: These findings suggest that GA113 exerts its anticancer effects by disrupting essential metabolic pathways in melanoma cells, which presents a promising therapeutic avenue to target melanoma metabolism.

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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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