Lee Inyoung, Seo Eunhye, Kwon Yeongkeun, Lee Chang Min, Kim Nam Hoon, Kim Jong-Han, Choi Sung Il, Park Sungsoo
Division of Foregut Surgery, Department of Surgery, Korea University College of Medicine, Seoul 02841, Republic of Korea.
College of Nursing, Keimyung University, Daegu 42601, Republic of Korea.
Metabolites. 2025 Aug 11;15(8):543. doi: 10.3390/metabo15080543.
: Fat-free mass (FFM) loss after metabolic and bariatric surgery (MBS) is associated with adverse long-term outcomes, including osteoporosis. Identifying biomarkers that predict excessive FFM loss can improve perioperative patient management and postoperative risk stratification. This study investigated whether preoperative amino acid metabolite (AAM) levels could predict excessive FFM loss after laparoscopic sleeve gastrectomy (LSG). : Forty patients with morbid obesity who underwent LSG between 2019 and 2020 were retrospectively analyzed. Based on the FFM loss to body weight loss ratio (%FFML/BWL) at 3 months postoperatively, patients were categorized into excessive (>25%) and non-excessive (≤25%) FFM loss groups. Anthropometric measurements and serum sampling were performed preoperatively and at 3, 6, and 12 months postoperatively. AAM profiles were collected before surgery. Statistical analyses, including logistic regression and receiver operating characteristic curves, were performed. : Twenty-five patients showed excessive FFM loss 3 months after surgery. They had significantly lower preoperative tyrosine (Tyr) levels ( = 0.025). Logistic regression revealed that higher Tyr levels were significantly associated with lower odds of being male, suggesting a potential protective effect (odds ratio (OR) =0.019, = 0.010). Tyr profiling demonstrated acceptable predictive performance (area under the curve =0.715, = 0.025). Despite nonsignificant -values, trends showed lower FFM and muscle mass and higher fat mass in the excessive FFM loss group throughout follow-up. : Preoperative Tyr profiling may help identify patients at risk for excessive FFM loss. These findings support prioritizing metabolic health alongside total weight loss in the evaluation of MBS outcomes.
代谢和减重手术后无脂肪体重(FFM)的减少与包括骨质疏松症在内的不良长期预后相关。识别可预测FFM过度减少的生物标志物能够改善围手术期患者管理和术后风险分层。本研究调查了术前氨基酸代谢物(AAM)水平是否能够预测腹腔镜袖状胃切除术(LSG)后FFM的过度减少。对2019年至2020年间接受LSG的40例病态肥胖患者进行了回顾性分析。根据术后3个月时FFM减少与体重减轻的比例(%FFML/BWL),将患者分为FFM过度减少组(>25%)和非过度减少组(≤25%)。术前以及术后3、6和12个月进行人体测量和血清采样。术前收集AAM谱。进行了包括逻辑回归和受试者工作特征曲线在内的统计分析。25例患者术后3个月出现FFM过度减少。他们术前的酪氨酸(Tyr)水平显著更低(P = 0.025)。逻辑回归显示,较高的Tyr水平与男性较低的患病几率显著相关,提示可能存在保护作用(优势比(OR)=0.019,P = 0.010)。Tyr谱显示出可接受的预测性能(曲线下面积 = 0.715,P = 0.025)。尽管P值不显著,但在整个随访过程中,FFM过度减少组的FFM和肌肉量有降低趋势,脂肪量有增加趋势。术前Tyr谱分析可能有助于识别有FFM过度减少风险的患者。这些发现支持在评估减重手术效果时,除了关注总体重减轻外,还应优先考虑代谢健康。