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血清中硫酸化胆汁酸可作为 COVID-19 疾病严重程度和死亡率的潜在生物标志物。

Sulfated Bile Acids in Serum as Potential Biomarkers of Disease Severity and Mortality in COVID-19.

机构信息

Occupational Medicine Unit, Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, 40138 Bologna, Italy.

Division of Occupational Medicine, "IRCCS" Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.

出版信息

Cells. 2024 Sep 19;13(18):1576. doi: 10.3390/cells13181576.

Abstract

The fight against coronavirus disease 2019 (COVID-19) continues. Since the pandemic's onset, several biomarkers have been proposed to assess the diagnosis and prognosis of this disease. This research aimed to identify potential disease severity biomarkers in serum samples of patients with COVID-19 during the disease course. Data were collected using untargeted and targeted mass spectrometry methods. The results were interpreted by performing univariate and multivariate analyses. Important metabolite classes were identified by qualitative untargeted metabolomics in 15 serum samples from survivors of COVID-19. Quantitative targeted metabolomics on a larger patient cohort including 15 non-survivors confirmed serum 3-sulfate bile acids (i.e. GLCA-3S) were significantly increased in non-survivors compared to survivors during the early disease stage (-value < 0.0001). Notably, it was associated with a higher risk of mortality (odds ratio of 26). A principal component analysis showed the ability to discriminate between survivors and non-survivors using the BA concentrations. Furthermore, increased BA-S is highly correlated with known parameters altered in severe clinical conditions.

摘要

抗击 2019 年冠状病毒病(COVID-19)的斗争仍在继续。自疫情爆发以来,已经提出了几种生物标志物来评估这种疾病的诊断和预后。本研究旨在确定 COVID-19 患者在病程中血清样本中潜在的疾病严重程度生物标志物。使用非靶向和靶向质谱方法收集数据。通过进行单变量和多变量分析来解释结果。通过对 15 名 COVID-19 幸存者的血清样本进行非靶向代谢组学定性分析,确定了重要的代谢物类别。在包括 15 名非幸存者的更大患者队列中进行定量靶向代谢组学分析,结果表明非幸存者在疾病早期阶段(-值 < 0.0001)的血清 3-硫酸盐胆酸(即 GLCA-3S)明显高于幸存者。值得注意的是,它与更高的死亡率风险相关(比值比为 26)。主成分分析表明,使用 BA 浓度可以区分幸存者和非幸存者。此外,增加的 BA-S 与严重临床情况下改变的已知参数高度相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2eb1/11430696/eeba516808e5/cells-13-01576-g001.jpg

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