Costanzo Michele, Caterino Marianna
Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples 80131, Italy.
CEINGE-Biotecnologie Avanzate Franco Salvatore s.c.ar.l., Naples 80145, Italy.
Data Brief. 2023 Jun;48:109089. doi: 10.1016/j.dib.2023.109089. Epub 2023 Mar 29.
The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree of severity. As the ongoing pandemic has posed a challenging threat for humanity, the data here presented belong to one of the first lipidomics studies carried out on COVID-19 patients' samples collected during the first pandemic waves. Serum samples were obtained from hospitalized patients with a molecular diagnosis of SARS-CoV-2 infection detected after nasal swab, and categorized as mild, moderate, or severe according to pre-established clinical descriptors. The MS-based targeted lipidomic analysis was performed by MRM using a Triple Quad 5500+ mass spectrometer, and the quantitative data were acquired on a panel of 483 lipids. The characterization of this lipidomic dataset has been outlined using multivariate and univariate descriptive statistics and bioinformatics tools.
本文提供的数据集描述了对不同严重程度的新冠肺炎患者血清进行的靶向脂质组学分析。由于这场持续的大流行给人类带来了具有挑战性的威胁，这里呈现的数据属于首批针对在第一波大流行期间收集的新冠肺炎患者样本进行的脂质组学研究之一。血清样本取自经鼻拭子检测确诊为SARS-CoV-2感染的住院患者，并根据预先确定的临床描述分为轻症、中症或重症。基于质谱的靶向脂质组学分析采用三重四极杆5500+质谱仪通过多反应监测（MRM）进行，定量数据是在一组483种脂质上采集的。已使用多变量和单变量描述性统计以及生物信息学工具对该脂质组学数据集进行了描述。
