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Serum Oxylipin Profiles Identify Potential Biomarkers in Patients with Acute Aortic Dissection

ABSTRACT: Aortic dissection (AD) is a life-threatening cardiovascular disease with a dismal prognosis. Inflammation plays an important role in AD. Oxylipins are bioactive lipids involved in the modulation of inflammation and may be involved in the pathogenesis and progression of AD. This study aims to identify possible metabolites related to AD. A total of 10 type A Aortic dissection (TAAD) patients, 10 type B Aortic dissection (TBAD) patients and 10 healthy controls were included in this study. Over 100 oxylipin species were identified and quantified by liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis. Our investigation demonstrated substantial alterations in 91 oxylipins between AD and healthy individuals. Patients with TAAD had 89 entries accessible compared to healthy controls. According to orthogonal partial least squares discriminant analysis (OPLS-DA), fitness (R2X = 0.362 and R2Y = 0.807, p = 0.03) and predictability (Q2 = 0.517, p = 0.005) are the validation parameters between the two groups. Using multivariate logistic regression, 13-HOTrE and 16(17)-EpDPE were the risk factors in the aortic patients group compared to healthy people (OR = 2.467, 95%CI:1.256–7.245, p = 0.035; OR = 0.015, 95%CI:0.0002–0.3240, p = 0.016, respectively). In KEGG enrichment of differential metabolites, the arachidonic acid metabolism pathway has the most metabolites involved. We established a diagnostic model in distinguishing between AD and healthy people. The AUC was 0.905. Oxylipins were significantly altered in AD patients, suggesting oxylipin profile is expected to exploit a novel, non-invasive, objective diagnosis for AD.

SUBMITTER: Jiang Y

PROVIDER: S-EPMC9324768 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Aortic dissection (AD) is a catastrophic cardiovascular emergency with a poor prognosis, and little preceding symptoms. Abnormal lipid metabolism is closely related to the pathogenesis of AD. However, comprehensive lipid alterations related to AD pathogenesis remain unclear. Moreover, there is an urgent need for new or better biomarkers for improved risk assessment and surveillance of AD. Therefore, an untargeted lipidomic approach based on ultra-high-performance liquid chromatograph-mass spectrometry was employed to unveil plasma lipidomic alterations and potential biomarkers for AD patients in this study. We found that 278 of 439 identified lipid species were significantly altered in AD patients (n = 35) compared to normal controls (n = 32). Notably, most lipid species, including fatty acids, acylcarnitines, cholesteryl ester, ceramides, hexosylceramides, sphingomyelins, lysophosphatidylcholines, lysophosphatidylethanolamines, phosphatidylcholines, phosphatidylinositols, diacylglycerols, and triacylglycerols with total acyl chain carbon number ≥54 and/or total double bond number ≥4 were decreased, whereas phosphatidylethanolamines and triacylglycerols with total double bond number <4 accumulated in AD patients. Besides, the length and unsaturation of acyl chains in triacylglycerols and unsaturation of 1-acyl chain in phosphatidylethanolamines were decreased in AD patients. Moreover, lysophosphatidylcholines were the lipids with the largest alterations, at the center of correlation networks of lipid alterations, and had excellent performances in identifying AD patients. The area under the curve of 1.0 and accuracy rate of 100% could be easily obtained by lysophosphatidylcholine (20:0/0:0) or its combination with lysophosphatidylcholine (17:0/0:0) or lysophosphatidylcholine (20:1/0:0). This study provides novel and comprehensive plasma lipidomic signatures of AD patients, identifies lysophosphatidylcholines as excellent potential biomarkers, and would be beneficial to the pathogenetic study, risk assessment and timely diagnosis and treatment of AD.

Project description:Background Serum cystatin C concentration is associated with cardiovascular disease. However, the relationship between cystatin C and acute aortic dissection (AAD) remains unclear. In the current study, we aim to evaluate the predictive value of cystatin C in the occurrence of acute kidney injury (AKI) and the prognosis of AAD patients. Methods The patients with AAD admitted to our hospital from November 2019 through January 2022 were consecutively included in the retrospective cohort study. A complete blood cell count, serum biochemistry tests, including cystatin C and creatinine, in-hospital mortality and the incidence of AKI were recorded. All the patients were categorized into four groups according to the quartile of their serum cystatin C levels. Multivariate logistic and Cox regression analyses were conducted to determine the independent risk factors for the incidence of AKI and the prognosis of AAD patients, respectively. Kaplan-Meier analyses and log-rank tests were used to evaluate differences in survival. Receiver operating characteristic (ROC) curves were used to assess the predictive value of cystatin C for short-term mortality and the incidence of AKI in AAD patients. Results A total of 357 patients were included in this study. The results showed that the higher the concentration of cystatin C, the higher the level of serum creatinine and the higher the incidence of AKI. Mortality was significantly higher in the group with serum cystatin C levels >1.18 mg/L. Type A AAD, white blood cell count >10×109/L, platelet count <100×109/L, and serum cystatin C concentration >1.18 mg/L [adjusted hazards ratio (HR) =2.405, 95% confidence interval (CI), 1.029–4.063, P=0.041] were independent risk factors for in-hospital mortality. Cystatin C levels >1.18 mg/L remained an independent predictor of AKI in AAD after adjusting for the confounding [odds ratio (OR) 76.489, 95% CI, 25.586–228.660]. The areas under the ROC curves of cystatin C in predicting the mortality and incidence of AKI in AAD patients were 0.655 (95% CI, 0.551–0.760) and 0.807 (95% CI, 0.758–0.856), respectively. Conclusions In sum, serum cystatin C concentration is a potential predictor of short-term mortality and the incidence of AKI in AAD patients.

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Serum Oxylipin Profiles Identify Potential Biomarkers in Patients with Acute Aortic Dissection

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