AUTHOR=Huang He , Han Jingjing , Li Yan , Yang Yonglin , Shen Jian , Fu Qiang , Chen Yu TITLE=Early Serum Metabolism Profile of Post-operative Delirium in Elderly Patients Following Cardiac Surgery With Cardiopulmonary Bypass JOURNAL=Frontiers in Aging Neuroscience VOLUME=Volume 14 - 2022 YEAR=2022 URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2022.857902 DOI=10.3389/fnagi.2022.857902 ISSN=1663-4365 ABSTRACT=Background: Cardiac surgery with cardiopulmonary bypass (CPB) is considered to be one of the surgical types with the highest incidence of postoperative delirium (POD). POD has been associated with a prolonged intensive care and hospital stay, long-term neurocognitive deterioration, and increased mortality. However, the specific pathogenesis of POD is still unclear. Untargeted metabolomics techniques can be used to understand the changes of serum metabolites in early postoperative delirium to discover the relationship between serum metabolites and disease. Methods: The present study recruited 58 elderly patients undergoing cardiac surgery with CPB. Serum was collected within the first 24 hours after surgery. The Confusion Assessment Method (CAM) and ICU-CAM assessments were used to identify patients who experienced POD. All patients with normal postoperative cognitive assessment were included in the non-POD groups. Moreover, we collected serum from 20 healthy adult volunteers. We performed untargeted analyses of postoperative serum metabolites in all surgical groups, as well as serum metabolites in healthy non-surgical adults by using liquid chromatography mass spectrometry (LC/MS) and analyzed metabolic profiles and related metabolites. Results: The probability of POD after cardiac surgery were 31%. There were statistically significant differences in postoperative mechanical ventilation time, ICU stay time and postoperative hospital stay between POD and non-POD group (P<0.05). ICU stay time was an independent risk factor for POD. The analysis revealed a total of 51 differentially expressed metabolites were identified by comparing the POD and non-POD group, mostly lipids and lipid-like molecules. Three phosphatidylinositol (PI) were down-regulated in POD group, i.e PI(18:0/18:2(9Z,12Z)), PI(20:4(8Z,11Z,14Z,17Z)/18:0) and PI(18:1(9Z)/20:3(8Z,11Z,14Z)). The receiver operating characteristic (ROC) curve analysis showed that three kinds of PI metabolites had the highest area under the curve (AUC), which were 0.789, 0.781 and 0.715. Correlation analysis showed the expression of three PIs was negatively correlated with the incidence of POD. Conclusions: Our findings suggest that lipid metabolism plays an important role in the serum metabolic profile of elderly patients with POD in the early postoperative period. Low serum lipid metabolic phosphatidylinositol was associated with incidence of POD in elderly following cardiac bypass surgery, which may provide new insights into the pathogenesis of POD.