Serum Metabolomic and Lipidomic Profiling Reveals the Signature for Postoperative Obesity among Adult-Onset Craniopharyngioma.
Qiongyue ZhangYonghao FengDou WuYinyin XieGuoming WuWei WuHui WangXiaoyu LiuLinling FanBoni XiangQuanya SunYiming LiYongfei WangHongying YePublished in: Metabolites (2024)
Craniopharyngioma patients often suffer from a diminished quality of life after surgery, which is usually associated with metabolic disorders and hypothalamic obesity. However, the precise etiology of these conditions remains elusive. To identify the metabolic changes after surgery, we conducted a cross-sectional study using metabolomic and lipidomic analysis to profile metabolic alterations in adult-onset craniopharyngioma patients with postoperative obesity. A cohort of 120 craniopharyngioma patients who had undergone surgery were examined. Differential analyses, including clinical characteristics, serum metabolome, and lipidome, were conducted across distinct body mass index (BMI) groups. Our findings indicated no statistically significant differences in age, sex, and fasting blood glucose among postoperative craniopharyngioma patients when stratified by BMI. However, a noteworthy difference was observed in uric acid and blood lipid levels. Further investigation revealed that alterations in metabolites and lipids were evidently correlated with increased BMI, indicating that postoperative obesity of craniopharyngioma patients affected their whole-body metabolism. Additionally, the multi-omics analysis identified specific metabolites and lipids, including uric acid and DG(18:2/20:4), as contributors to the metabolic disorders associated with postoperative obesity of craniopharyngioma patients. This work provides valuable insight into the involvement of metabolites and lipids in metabolic disorders subsequent to craniopharyngioma surgery.
Keyphrases
- body mass index
- metabolic syndrome
- uric acid
- end stage renal disease
- weight gain
- ejection fraction
- patients undergoing
- newly diagnosed
- blood glucose
- type diabetes
- chronic kidney disease
- weight loss
- prognostic factors
- minimally invasive
- physical activity
- coronary artery disease
- atrial fibrillation
- coronary artery bypass
- data analysis