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

IF 10.8 1区 医学 Q1 ENDOCRINOLOGY & METABOLISM Metabolism: clinical and experimental Pub Date : 2024-09-17 DOI:10.1016/j.metabol.2024.156034
Na Sun , Tanja Krauss , Claudine Seeliger , Thomas Kunzke , Barbara Stöckl , Annette Feuchtinger , Chaoyang Zhang , Andreas Voss , Simone Heisz , Olga Prokopchuk , Marc E. Martignoni , Klaus-Peter Janssen , Melina Claussnitzer , Hans Hauner , Axel Walch
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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.

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空间代谢组学揭示人类癌症恶病质中的器官间交叉作用
背景:癌症恶病质(CCx)是一个多方面的挑战,其特点是蛋白质和能量负平衡以及全身炎症反应激活。以往的癌症恶病质研究主要集中在小鼠模型或人体体液上,而阐明人体癌症恶病质病理生理学背后的器官间分子交叉对话的需求尚未得到满足:方法:对罹患癌症和对照组癌症患者的肝脏、骨骼肌、皮下和内脏脂肪组织以及血清进行了空间代谢组学研究。利用成分、通路富集和相关网络分析对各组织进行比较。使用 Circos 评估了 CCx 改变通路的器官间相关性。通过对组织和血清进行机器学习,建立了分类器,作为CCx的潜在诊断生物标记物:结果:在CCx患者中发现了不同的代谢途径改变,其中脂肪组织和肝脏的代谢紊乱最为显著(P≤0.05)。与对照组患者相比,CCx 患者内脏、皮下脂肪组织和肝脏中的代谢活动增加,而肌肉和血清中的代谢活动减少。碳水化合物、脂质、氨基酸和维生素代谢在CCx患者的不同器官系统中成为高度交互作用的途径。CCx患者的肌肉组织显示能量电荷减少(P≤0.001),而肝脏和脂肪组织显示能量电荷增加(P≤0.001)。我们根据CCx患者的严重程度和代谢变化对其进行了分层,发现内脏脂肪组织受影响最大,尤其是在严重恶病质的病例中。形态计量分析表明,内脏脂肪组织中的脂肪细胞体积较小(P≤0.05),表明存在分解代谢过程。我们开发了基于组织的癌症恶病质分类器,专门针对单个器官,便于转移患者血清作为器官构成中CCx的微创诊断标记:这些发现支持了癌症恶病质是一种多器官综合征的概念,它具有多种代谢改变,为人类癌症恶病质的病理生理学和器官交叉对话提供了见解。这项研究开创了针对CCx的空间代谢组学,证明了利用血清在器官水平上区分恶病质状态的可行性。
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来源期刊
Metabolism: clinical and experimental
Metabolism: clinical and experimental 医学-内分泌学与代谢
CiteScore
18.90
自引率
3.10%
发文量
310
审稿时长
16 days
期刊介绍: Metabolism upholds research excellence by disseminating high-quality original research, reviews, editorials, and commentaries covering all facets of human metabolism. Consideration for publication in Metabolism extends to studies in humans, animal, and cellular models, with a particular emphasis on work demonstrating strong translational potential. The journal addresses a range of topics, including: - Energy Expenditure and Obesity - Metabolic Syndrome, Prediabetes, and Diabetes - Nutrition, Exercise, and the Environment - Genetics and Genomics, Proteomics, and Metabolomics - Carbohydrate, Lipid, and Protein Metabolism - Endocrinology and Hypertension - Mineral and Bone Metabolism - Cardiovascular Diseases and Malignancies - Inflammation in metabolism and immunometabolism
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