Zhizhong TANG , Yunpeng BAI , Wang XU , Changchun LAI , Yirong WANG , Yaocai LI , Cuizhu HUANG , Ying LI , Xinyi JIANG , Yingbang LI , Xiyan CHEN , Linhui HU , Chunbo CHEN
{"title":"超高效液相色谱-高分辨率质谱法分析新冠肺炎Omicron变异康复患者尿液代谢组学","authors":"Zhizhong TANG , Yunpeng BAI , Wang XU , Changchun LAI , Yirong WANG , Yaocai LI , Cuizhu HUANG , Ying LI , Xinyi JIANG , Yingbang LI , Xiyan CHEN , Linhui HU , Chunbo CHEN","doi":"10.1016/j.cjac.2023.100314","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The novel coronavirus disease (COVID-19) outbreak has become a serious global public health crisis, particularly the newly emerged Omicron variant. Although most of the clinical symptoms of Omicron infection are mild, it spreads rapidly and the physiological changes associated with this variant are difficult to understand. This study investigates the possibility of treating renal metabolism in patients with COVID-19.</p></div><div><h3>Methods</h3><p>High-resolution mass spectrometry was used to detect non-targeted metabolomes in patients with COVID-19 (<em>n</em> = 8) and healthy subjects (<em>n</em> = 12). The main inclusion criteria were that the recovered omicron patients diagnosed as negative, met the discharge criteria and provided information consents. In this study, univariate and multivariate statistical methods were used to analyze the data between the two groups to screen different urinary metabolites associated with Omicron infection. Altered metabolic pathways related to omicron infection were also identified by examining the Kyoto Encyclopedia of Genes and Genomes database.</p></div><div><h3>Results</h3><p>The single-factor and multi-factor statistics showed that the changes in renal metabolism after treatment were significantly different from those in the control group. Approximately 3500 urinary metabolites were detected in patients recovered of the omicron variant of COVID-19 through bioinformatics methods with 296 metabolites in high confidence level. Different urinary metabolomes were also analysed to inform signal transduction pathways and prognosis prediction; some of these differential metabolites have important biological roles. Compared with the control group, the patients recovered of the omicron variant of COVID-19 exhibited dramatic changes in renal metabolism, including amino acid metabolism, ketone bodies and prolactin metabolic pathways.</p></div><div><h3>Conclusions</h3><p>Patients with the omicron variant of COVID-19 may have metabolic abnormalities in their urinary system during infection and treatment; thus, follow-up and observation should be strengthened. Thus, this study can provide a certain reference basis for further exploring the pathogenic mechanism and the metabolic indicators of COVID-19.</p></div>","PeriodicalId":277,"journal":{"name":"Chinese Journal of Analytical Chemistry","volume":"51 10","pages":"Article 100314"},"PeriodicalIF":1.2000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1872204023000889/pdfft?md5=7f49dec850cec5b05d7fbf0e2dc05db1&pid=1-s2.0-S1872204023000889-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Urine metabolomics analysis of patients recovered of the Omicron variant of COVID-19 using ultrahigh-performance liquid chromatography with high-resolution mass spectrometry\",\"authors\":\"Zhizhong TANG , Yunpeng BAI , Wang XU , Changchun LAI , Yirong WANG , Yaocai LI , Cuizhu HUANG , Ying LI , Xinyi JIANG , Yingbang LI , Xiyan CHEN , Linhui HU , Chunbo CHEN\",\"doi\":\"10.1016/j.cjac.2023.100314\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The novel coronavirus disease (COVID-19) outbreak has become a serious global public health crisis, particularly the newly emerged Omicron variant. Although most of the clinical symptoms of Omicron infection are mild, it spreads rapidly and the physiological changes associated with this variant are difficult to understand. This study investigates the possibility of treating renal metabolism in patients with COVID-19.</p></div><div><h3>Methods</h3><p>High-resolution mass spectrometry was used to detect non-targeted metabolomes in patients with COVID-19 (<em>n</em> = 8) and healthy subjects (<em>n</em> = 12). The main inclusion criteria were that the recovered omicron patients diagnosed as negative, met the discharge criteria and provided information consents. In this study, univariate and multivariate statistical methods were used to analyze the data between the two groups to screen different urinary metabolites associated with Omicron infection. Altered metabolic pathways related to omicron infection were also identified by examining the Kyoto Encyclopedia of Genes and Genomes database.</p></div><div><h3>Results</h3><p>The single-factor and multi-factor statistics showed that the changes in renal metabolism after treatment were significantly different from those in the control group. Approximately 3500 urinary metabolites were detected in patients recovered of the omicron variant of COVID-19 through bioinformatics methods with 296 metabolites in high confidence level. Different urinary metabolomes were also analysed to inform signal transduction pathways and prognosis prediction; some of these differential metabolites have important biological roles. Compared with the control group, the patients recovered of the omicron variant of COVID-19 exhibited dramatic changes in renal metabolism, including amino acid metabolism, ketone bodies and prolactin metabolic pathways.</p></div><div><h3>Conclusions</h3><p>Patients with the omicron variant of COVID-19 may have metabolic abnormalities in their urinary system during infection and treatment; thus, follow-up and observation should be strengthened. Thus, this study can provide a certain reference basis for further exploring the pathogenic mechanism and the metabolic indicators of COVID-19.</p></div>\",\"PeriodicalId\":277,\"journal\":{\"name\":\"Chinese Journal of Analytical Chemistry\",\"volume\":\"51 10\",\"pages\":\"Article 100314\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1872204023000889/pdfft?md5=7f49dec850cec5b05d7fbf0e2dc05db1&pid=1-s2.0-S1872204023000889-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chinese Journal of Analytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1872204023000889\",\"RegionNum\":4,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1872204023000889","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
Urine metabolomics analysis of patients recovered of the Omicron variant of COVID-19 using ultrahigh-performance liquid chromatography with high-resolution mass spectrometry
Background
The novel coronavirus disease (COVID-19) outbreak has become a serious global public health crisis, particularly the newly emerged Omicron variant. Although most of the clinical symptoms of Omicron infection are mild, it spreads rapidly and the physiological changes associated with this variant are difficult to understand. This study investigates the possibility of treating renal metabolism in patients with COVID-19.
Methods
High-resolution mass spectrometry was used to detect non-targeted metabolomes in patients with COVID-19 (n = 8) and healthy subjects (n = 12). The main inclusion criteria were that the recovered omicron patients diagnosed as negative, met the discharge criteria and provided information consents. In this study, univariate and multivariate statistical methods were used to analyze the data between the two groups to screen different urinary metabolites associated with Omicron infection. Altered metabolic pathways related to omicron infection were also identified by examining the Kyoto Encyclopedia of Genes and Genomes database.
Results
The single-factor and multi-factor statistics showed that the changes in renal metabolism after treatment were significantly different from those in the control group. Approximately 3500 urinary metabolites were detected in patients recovered of the omicron variant of COVID-19 through bioinformatics methods with 296 metabolites in high confidence level. Different urinary metabolomes were also analysed to inform signal transduction pathways and prognosis prediction; some of these differential metabolites have important biological roles. Compared with the control group, the patients recovered of the omicron variant of COVID-19 exhibited dramatic changes in renal metabolism, including amino acid metabolism, ketone bodies and prolactin metabolic pathways.
Conclusions
Patients with the omicron variant of COVID-19 may have metabolic abnormalities in their urinary system during infection and treatment; thus, follow-up and observation should be strengthened. Thus, this study can provide a certain reference basis for further exploring the pathogenic mechanism and the metabolic indicators of COVID-19.
期刊介绍:
Chinese Journal of Analytical Chemistry(CJAC) is an academic journal of analytical chemistry established in 1972 and sponsored by the Chinese Chemical Society and Changchun Institute of Applied Chemistry, Chinese Academy of Sciences. Its objectives are to report the original scientific research achievements and review the recent development of analytical chemistry in all areas. The journal sets up 5 columns including Research Papers, Research Notes, Experimental Technique and Instrument, Review and Progress and Summary Accounts. The journal published monthly in Chinese language. A detailed abstract, keywords and the titles of figures and tables are provided in English, except column of Summary Accounts. Prof. Wang Erkang, an outstanding analytical chemist, academician of Chinese Academy of Sciences & Third World Academy of Sciences, holds the post of the Editor-in-chief.