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基线代谢组学特征作为Roux-en-Y胃旁路术(RYGB)后体重变化的潜在生物标志物。

Baseline metabolomic profile as potential biomarker for weight change after Roux-en-Y gastric bypass (RYGB) surgery.

作者信息

Thaker Vidhu, Gu Wanjun, Deng Shuliang, Stylopoulos Nicholas, Clish Clary, Hirschhorn Joel, Salem Rany

机构信息

Columbia University Irving Medical Center.

University of California at San Francisco.

出版信息

Res Sq. 2025 Sep 1:rs.3.rs-7256000. doi: 10.21203/rs.3.rs-7256000/v1.

Abstract

Metabolic and bariatric surgery (MBS) is the most effective intervention for sustained weight loss and cardiometabolic improvement in individuals with severe obesity. However, long-term outcomes vary, with many patients experiencing weight regain. The biological determinants of this variability remain incompletely understood. Given the integrative nature of the metabolome-capturing interactions among host genetics, diet, microbiota, and environmental exposures-we hypothesized that baseline circulating metabolites could stratify individuals into distinct long-term weight trajectory groups. We profiled untargeted fasting plasma metabolites in a nested case-control study within the Longitudinal Assessment of Bariatric Surgery (LABS-2) cohort. From these metabolites, a 13-metabolite risk score (MetRS) predictive of weight regain five years after Roux-en-Y gastric bypass was derived. The MetRS, which captures pathways including fatty acid oxidation, bile acid conjugation, and microbial-host co-metabolism, outperformed clinical variables in predicting long-term weight outcomes. Its performance was evaluated in two independent cohorts, including one assessed a median of seven years post-surgery. Genomic analyses identified common variants in loci including AGXT2 and SLC7A5 associated with key MetRS metabolites, suggesting a heritable component to the observed metabolic signature. Together, these findings lay the groundwork for a clinically actionable framework to identify individuals at risk for weight recidivism and support the integration of metabolic profiling into preoperative assessment for personalized obesity care.

摘要

代谢与减重手术(MBS)是重度肥胖个体实现持续体重减轻和改善心脏代谢状况的最有效干预措施。然而,长期效果存在差异,许多患者会出现体重反弹。这种变异性的生物学决定因素仍未完全明确。鉴于代谢组具有整合宿主遗传学、饮食、微生物群和环境暴露之间相互作用的特性,我们推测基线循环代谢物可将个体分为不同的长期体重轨迹组。在减重手术纵向评估(LABS - 2)队列的一项巢式病例对照研究中,我们对非靶向空腹血浆代谢物进行了分析。从这些代谢物中,得出了一个可预测Roux - en - Y胃旁路术后五年体重反弹的13种代谢物风险评分(MetRS)。MetRS涵盖了脂肪酸氧化、胆汁酸结合和微生物-宿主共代谢等途径,在预测长期体重结果方面优于临床变量。其性能在两个独立队列中进行了评估,其中一个队列在术后中位七年时进行了评估。基因组分析确定了包括AGXT2和SLC7A5在内的基因座中的常见变异与关键MetRS代谢物相关,表明观察到的代谢特征具有遗传成分。总之,这些发现为一个可临床应用的框架奠定了基础,以识别有体重复发风险的个体,并支持将代谢谱分析纳入术前评估,以实现个性化肥胖护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99aa/12425095/09b2b6a5ae53/nihpp-rs7256000v1-f0001.jpg

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