Amino Acid Metabolite Profiling for Predicting and Understanding the Metabolic Effects of Metabolic and Bariatric Surgery.

Hyeon-Seong Lee, Jaeyoung Kwon, Yeongkeun Kwon
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Abstract

Metabolic and bariatric surgery induces metabolic benefits beyond weight loss, including improved insulin sensitivity, type 2 diabetes (T2D) remission, and reduced inflammation. Recent metabolomics research highlights amino acid metabolites-branched-chain amino acids, aromatic amino acids, and tryptophan-derived compounds-as key biomarkers for predicting surgical outcomes. Elevated preoperative levels of isoleucine, phenylalanine, levodopa, and 3-hydroxyanthranilic acid are associated with improved glycemic control and T2D remission. Gut microbiota-derived metabolites, including indole-3-propionic acid and indole-3-pyruvic acid, contribute to insulin sensitivity and lean mass preservation. Additionally, serotonin-related indicators predict postoperative weight loss rates. These metabolites reflect individual metabolic heterogeneity and may outperform conventional clinical models in predicting surgical responsiveness. Integration of metabolomics into preoperative assessment may enhance precision medicine approaches and identify new therapeutic targets.

Abstract Image

氨基酸代谢物分析预测和理解代谢和减肥手术的代谢影响。
代谢和减肥手术带来的代谢益处不仅仅是体重减轻,还包括改善胰岛素敏感性、2型糖尿病(T2D)缓解和减少炎症。最近的代谢组学研究强调氨基酸代谢物——支链氨基酸、芳香氨基酸和色氨酸衍生化合物——是预测手术结果的关键生物标志物。术前异亮氨酸、苯丙氨酸、左旋多巴和3-羟基苯甲酸水平升高与血糖控制改善和T2D缓解有关。肠道微生物衍生的代谢物,包括吲哚-3-丙酸和吲哚-3-丙酮酸,有助于胰岛素敏感性和瘦肉块保存。此外,血清素相关指标预测术后体重减轻率。这些代谢物反映了个体代谢异质性,在预测手术反应性方面可能优于传统的临床模型。将代谢组学整合到术前评估中可以增强精准医学方法并确定新的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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