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Background Metabolomics has the characteristics of terminal effects and reflects the physiological state of biological diseases more directly. Several current biomarkers of multiple omics were revealed to be associated with immune-related adverse events (irAEs) occurrence. However, there is a lack of reliable metabolic biomarkers to predict irAEs. This study aims to explore the potential metabolic biomarkers to predict risk of irAEs and to investigate the association of plasma metabolites level with survival in patients with lung cancer receiving PD-1/PD-L1 inhibitor treatment.Methods The study collected 170 plasmas of 85 patients with lung cancer who received immune checkpoint inhibitors (ICIs) treatment. 58 plasma samples of 29 patients with irAEs were collected before ICIs treatment and at the onset of irAEs. 112 plasma samples of 56 patients who did not develop irAEs were collected before ICIs treatment and plasma matched by treatment cycles to onset of irAEs patients. Untargeted metabolomics analysis was used to identify the differential metabolites before initiating ICIs treatment and during the process that development of irAEs. Kaplan-Meier curves analysis was used to detect the associations of plasma metabolites level with survival of patients with lung cancer.Results A total of 24 differential metabolites were identified to predict the occurrence of irAEs. Baseline acylcarnitines and steroids levels are significantly higher in patients with irAEs, and the model of eight acylcarnitine and six steroid metabolites baseline level predicts irAEs occurrence with area under the curve of 0.91. Patients with lower concentration of baseline decenoylcarnitine(AcCa(10:1) 2, decenoylcarnitine(AcCa(10:1) 3 and hexanoylcarnitine(AcCa(6:0) in plasma would have better overall survival (OS). Moreover, 52 differential metabolites were identified related to irAEs during ICIs treatment, dehydroepiandrosterone sulfate, corticoserone, cortisol, thyroxine and sphinganine 1-phaosphate were significantly decreased in irAEs group while oxoglutaric acid and taurocholic acid were significantly increased in irAEs group.Conclusions High levels of acylcarnitines and steroid hormone metabolites might be risk factor to development of irAEs, and levels of decenoylcarnitine (AcCa(10:1) 2, decenoylcarnitine (AcCa(10:1) 3 and hexanoylcarnitine (AcCa(6:0) could be used to predict OS for patients with lung cancer received ICIs treatment.

This study investigated the effects of different types of short video addiction on social adaptation. The aim of this study was to identify the various types of short video addiction among freshmen and the correlations with career adaptability, insomnia, and depressive symptoms. We recruited 931 freshmen and used latent profile analysis to classify participants based on different characteristics of short video addiction. Based on the results of a short video addiction questionnaire, participants were found to exhibit distinct answer patterns, categorized into five types. Class 1 exhibited minimal signs of addiction. Class 2 displayed fluctuations with stronger tendencies towards withdrawal or escape. Class 3 demonstrated a moderate inability to control cravings for short videos. Class 4 showed fluctuations but with less anxiety and feelings of lost. Finally, Class 5 presented the most pronounced symptoms of short video addiction. Freshmen with varying degrees of short video addiction exhibited significant differences in career adaptability, sleep quality, and depressive symptoms. Class 1 students showed strong career adaptability and sound sleep, whereas Class 5 students had the highest depression rates. Overall, our findings suggest that the characteristics of short video addiction in first-year students also indicate poor social adaptation, which is mainly manifested as weak career adaptability, decreased sleep quality, and depressive symptoms. One way to guide first-year students to adapt to campus life is for educators to provide timely interventions for students with severe short video addiction.