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Objective: The prevalence of asthma has gradually increased worldwide in recent years, which has made asthma a global public health problem. However, due to its complexity and heterogeneity, there are a few academic debates on the pathogenic mechanism of asthma. The study of the pathogenesis of asthma through metabolomics has become a new research direction. We aim to uncover the metabolic pathway of children with asthma. Methods: Liquid chromatography (LC)–mass spectrometry (MS)–based metabolomic analysis was conducted to compare urine metabolic profiles between asthmatic children (n = 30) and healthy controls (n = 10). Results: Orthogonal projections to latent structures-discrimination analysis (OPLS-DA) showed that there were significant differences in metabolism between the asthma group and the control group with three different metabolites screened out, including traumatic acid, dodecanedioic acid, and glucobrassicin, and the levels of traumatic acid and dodecanedioic acid in the urine samples of asthmatic children were lower than those of healthy controls therein. Pathway enrichment analysis of differentially abundant metabolites suggested that α-linolenic acid metabolism was an asthma-related pathway. Conclusions: This study suggests that there are significant metabolic differences in the urine of asthmatic children and healthy controls, and α-linolenic acid metabolic pathways may be involved in the pathogenesis of asthma. [ABSTRACT FROM AUTHOR]

Objective: Using single cell sequencing to analyze the characteristics of the immune repertoire of SARS-CoV-2 patients at different infection stages, and to explore the possible pathogenesis. Methods: Obtaining data in the NCBI database, and healthy control, progression and convalescence groups were set up. Analysis of single cell sequencing data by RStudio, Origin, Hipliot and Excel software. Results: TCR plays an important role in antigen recognition and virus clearance. Characteristics of the three immune repertoires are very different. The number of clones exceeded 26.92%. The length distribution of α chain CDR3 was concentrated on 14 amino acids, while β-chain was concentrated on 15 amino acids. The frequency of gene fragments in V and J regions were different, and the frequency of TRAV13-1, TRAJ20, TRBV20-1 and TRBJ2-1 were statistically significant (P<0.05). Further V-J gene combination analysis showed that there were significant differences in the frequency of single chain V-J between the control group and the progression group, the control group and the rehabilitation group (P<0.05). The highest frequency of αβ double chain V-J in the control group was TRAV19-J34-TRBV4-1-J2-1, the highest frequency of αβ double-stranded V-J in the progression group was TRAV12-1-J30-TRBV19-1-J2-1, and the highest frequency of αβ double chain V-J in the convalescence group was TRAV12-2-J52-TRBV7-9-J1-5. Conclusion: This study analyzes the global characteristics of T cells in the immune repertoire, which is helpful to understand the pathogenesis of SARS-CoV-2 patients, timely and effective treatment of patients in the early stages of infection. [ABSTRACT FROM AUTHOR]