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肿瘤-免疫相互作用中的代谢重编程与信号串扰:系统层面的探索

Metabolic reprogramming and signalling cross-talks in tumour-immune interaction: a system-level exploration.

作者信息

Shukla Mudita, Bhowmick Rupa, Ganguli Piyali, Sarkar Ram Rup

机构信息

Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune, Maharashtra, India.

Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India.

出版信息

R Soc Open Sci. 2024 Mar 13;11(3):231574. doi: 10.1098/rsos.231574. eCollection 2024 Mar.

Abstract

Tumour-immune microenvironment (TIME) is pivotal in tumour progression and immunoediting. Within TIME, immune cells undergo metabolic adjustments impacting nutrient supply and the anti-tumour immune response. Metabolic reprogramming emerges as a promising approach to revert the immune response towards a pro-inflammatory state and conquer tumour dominance. This study proposes immunomodulatory mechanisms based on metabolic reprogramming and employs the regulatory flux balance analysis modelling approach, which integrates signalling, metabolism and regulatory processes. For the first time, a comprehensive system-level model is constructed to capture signalling and metabolic cross-talks during tumour-immune interaction and regulatory constraints are incorporated by considering the time lag between them. The model analysis identifies novel features to enhance the immune response while suppressing tumour activity. Particularly, altering the exchange of succinate and oxaloacetate between glioma and macrophage enhances the pro-inflammatory response of immune cells. Inhibition of glutamate uptake in T-cells disrupts the antioxidant mechanism of glioma and reprograms metabolism. Metabolic reprogramming through adenosine monophosphate (AMP)-activated protein kinase (AMPK), coupled with glutamate uptake inhibition, was identified as the most impactful combination to restore T-cell function. A comprehensive understanding of metabolism and gene regulation represents a favourable approach to promote immune cell recovery from tumour dominance.

摘要

肿瘤免疫微环境(TIME)在肿瘤进展和免疫编辑中起着关键作用。在TIME中,免疫细胞会发生代谢调整,影响营养供应和抗肿瘤免疫反应。代谢重编程成为一种有前景的方法,可使免疫反应恢复到促炎状态并克服肿瘤优势。本研究提出基于代谢重编程的免疫调节机制,并采用调节通量平衡分析建模方法,该方法整合了信号传导、代谢和调节过程。首次构建了一个全面的系统水平模型,以捕捉肿瘤-免疫相互作用期间的信号传导和代谢相互作用,并通过考虑它们之间的时间滞后纳入调节约束。模型分析确定了增强免疫反应同时抑制肿瘤活性的新特征。特别是,改变胶质瘤和巨噬细胞之间琥珀酸和草酰乙酸的交换可增强免疫细胞的促炎反应。抑制T细胞中的谷氨酸摄取会破坏胶质瘤的抗氧化机制并重新编程代谢。通过腺苷单磷酸(AMP)激活的蛋白激酶(AMPK)进行代谢重编程,再加上谷氨酸摄取抑制,被确定为恢复T细胞功能最有效的组合。对代谢和基因调控的全面理解是促进免疫细胞从肿瘤优势中恢复的有利方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3390/10933535/98bde6da54d5/rsos.231574.f001.jpg

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