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空间代谢组学揭示人类癌症恶病质中的器官间串扰。

Inter-organ cross-talk in human cancer cachexia revealed by spatial metabolomics.

机构信息

Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany.

Else Kröner Fresenius Center for Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising-Weihenstephan, Germany.

出版信息

Metabolism. 2024 Dec;161:156034. doi: 10.1016/j.metabol.2024.156034. Epub 2024 Sep 17.

Abstract

BACKGROUND

Cancer cachexia (CCx) presents a multifaceted challenge characterized by negative protein and energy balance and systemic inflammatory response activation. While previous CCx studies predominantly focused on mouse models or human body fluids, there's an unmet need to elucidate the molecular inter-organ cross-talk underlying the pathophysiology of human CCx.

METHODS

Spatial metabolomics were conducted on liver, skeletal muscle, subcutaneous and visceral adipose tissue, and serum from cachectic and control cancer patients. Organ-wise comparisons were performed using component, pathway enrichment and correlation network analyses. Inter-organ correlations in CCx altered pathways were assessed using Circos. Machine learning on tissues and serum established classifiers as potential diagnostic biomarkers for CCx.

RESULTS

Distinct metabolic pathway alteration was detected in CCx, with adipose tissues and liver displaying the most significant (P ≤ 0.05) metabolic disturbances. CCx patients exhibited increased metabolic activity in visceral and subcutaneous adipose tissues and liver, contrasting with decreased activity in muscle and serum compared to control patients. Carbohydrate, lipid, amino acid, and vitamin metabolism emerged as highly interacting pathways across different organ systems in CCx. Muscle tissue showed decreased (P ≤ 0.001) energy charge in CCx patients, while liver and adipose tissues displayed increased energy charge (P ≤ 0.001). We stratified CCx patients by severity and metabolic changes, finding that visceral adipose tissue is most affected, especially in cases of severe cachexia. Morphometric analysis showed smaller (P ≤ 0.05) adipocyte size in visceral adipose tissue, indicating catabolic processes. We developed tissue-based classifiers for cancer cachexia specific to individual organs, facilitating the transfer of patient serum as minimally invasive diagnostic markers of CCx in the constitution of the organs.

CONCLUSIONS

These findings support the concept of CCx as a multi-organ syndrome with diverse metabolic alterations, providing insights into the pathophysiology and organ cross-talk of human CCx. This study pioneers spatial metabolomics for CCx, demonstrating the feasibility of distinguishing cachexia status at the organ level using serum.

摘要

背景

癌症恶病质(CCx)表现为多种特征,包括负氮和能量平衡以及全身炎症反应激活。虽然之前的 CCx 研究主要集中在小鼠模型或人体体液上,但仍需要阐明人类 CCx 发病机制中器官间的分子相互作用。

方法

对恶病质和对照癌症患者的肝、骨骼肌、皮下和内脏脂肪组织以及血清进行空间代谢组学分析。使用成分、途径富集和相关网络分析进行器官间比较。使用 Circos 评估 CCx 中改变的途径的器官间相关性。对组织和血清进行机器学习,建立分类器作为 CCx 的潜在诊断生物标志物。

结果

在 CCx 中检测到明显的代谢途径改变,脂肪组织和肝脏显示出最显著的(P ≤ 0.05)代谢紊乱。与对照患者相比,CCx 患者的内脏和皮下脂肪组织以及肝脏的代谢活性增加,而肌肉和血清的活性降低。碳水化合物、脂质、氨基酸和维生素代谢在 CCx 不同器官系统中是高度相互作用的途径。肌肉组织中 CCx 患者的能量电荷减少(P ≤ 0.001),而肝脏和脂肪组织中的能量电荷增加(P ≤ 0.001)。我们根据严重程度和代谢变化对 CCx 患者进行分层,发现内脏脂肪组织受影响最大,尤其是在严重恶病质的情况下。形态计量学分析显示内脏脂肪组织中脂肪细胞变小(P ≤ 0.05),表明存在分解代谢过程。我们为每个器官开发了针对癌症恶病质的组织分类器,便于将患者血清作为 CCx 的微创诊断标志物转移到器官中。

结论

这些发现支持 CCx 是一种多器官综合征的概念,具有多种代谢改变,为人类 CCx 的发病机制和器官相互作用提供了见解。本研究开创了 CCx 的空间代谢组学,证明了使用血清在器官水平上区分恶病质状态的可行性。

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