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中国队列中冯·希佩尔-林道综合征肾细胞癌的代谢组学特征

Metabolomic landscape of renal cell carcinoma in von Hippel-Lindau syndrome in a Chinese cohort.

作者信息

Zhang Zedan, Wang Yi, Yang Wuping, Liu Tao, Wang Chuandong, Huang Cong, Xu Yawei, Chen Xiaolin, Zhou Jingcheng, Wang Yizhou, Zhou Xiaohua, Gong Yanqing, Gong Kan

机构信息

Department of Urology, Peking University First Hospital, Beijing, China.

Hereditary Kidney Cancer Research Center, Peking University First Hospital, Beijing, China.

出版信息

iScience. 2024 Jun 22;27(7):110357. doi: 10.1016/j.isci.2024.110357. eCollection 2024 Jul 19.

Abstract

Von Hippel-Lindau (VHL) syndrome is a rare autosomal dominant disorder, where renal cell carcinoma (RCC) serves as a significant cause of mortality. We collected peripheral blood from 61 VHL-RCC patients and 31 healthy individuals, along with 19 paired RCC tumor and adjacent non-malignant samples. Using liquid chromatography-mass spectrometry, we identified 238 plasma and 241 tissue differentially abundant metabolites (DAMs), highlighting key pathways such as arginine and proline metabolism. The top 10 of the 23 DAMs, common to both plasma and tissue, were instrumental in constructing a high-performance diagnostic model. These DAMs demonstrated significant correlations with gene mutation types. Cox regression analysis revealed that plasma levels of N2,N2-dimethylguanosine were associated with the timing of RCC onset in VHL patients, acting as an independent predictive factor. This study enhances diagnostic accuracy for this rare condition and opens new avenues for exploring metabolic mechanisms of the disease and potential therapeutic directions.

摘要

冯·希佩尔-林道(VHL)综合征是一种罕见的常染色体显性疾病,其中肾细胞癌(RCC)是导致死亡的重要原因。我们收集了61例VHL-RCC患者和31名健康个体的外周血,以及19对RCC肿瘤和相邻非恶性样本。通过液相色谱-质谱联用技术,我们鉴定出238种血浆和241种组织中差异丰富的代谢物(DAMs),突出了精氨酸和脯氨酸代谢等关键途径。血浆和组织中共同存在的23种DAMs中的前10种有助于构建高性能诊断模型。这些DAMs与基因突变类型显示出显著相关性。Cox回归分析显示,N2,N2-二甲基鸟苷的血浆水平与VHL患者RCC发病时间相关,是一个独立的预测因素。本研究提高了对这种罕见疾病的诊断准确性,并为探索该疾病的代谢机制和潜在治疗方向开辟了新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0d41/11269943/a52061ea4954/fx1.jpg

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