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Background: Diabetes and cardiovascular diseases represent significant global health challenges, leading to organ dysfunction and increased mortality rates. Managing these conditions is complex, especially in the elderly population. The study addresses this pressing issue by exploring the application of the Chronic Illness Trajectory Framework (CITF), aiming to improve self-care and quality of life in elderly patients with diabetes and cardiovascular diseases., Methods: A total of 127 patients with diabetes mellitus and cardiovascular diseases admitted to the hospital were enrolled between January 2020 and January 2022. According to the implementation of CITF management mode, they were divided into a control group (62 cases, non-implementation) and an observation group (65 cases, implementation). The control group was given routine intervention, while the observation group was given CITF-based target management mode for 3 months. The changes in blood glucose, blood lipid, negative emotions, self-efficacy, self-management, compliance, and quality of life before and after intervention in both groups were observed. This study was approved by the Ethics Committee of Zhujiang Hospital., Results: After intervention, levels of fasting plasma glucose (FPG), 2h plasma glucose (2hPG), hemoglobin A1c (HbA1c), total cholesterol (TC), triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C), scores of self-rating depression scale (SDS), self-rating anxiety scale (SAS) and Diabetes Specific Quality of Life Scale (DSQL) were decreased (P < .05), while scores of General Self-Efficacy Scale (GSES) and Scale of the Diabetes Self-Care Activities Chinese version (SDSCA), and compliance rate were increased in both groups (P < .05). The levels of FPG, 2hPG, HbA1c, TC, TG, and LDL-C, scores of SDS, SAS, and DSQL in the observation group were lower than those in the control group (P < .001), and scores of GSES and SDSCA, and compliance rate were higher than those in the control group (P < .001). These results highlight the positive role of comprehensive intervention in improving the physical and mental health of patients with diabetes and provide strong support for the application of comprehensive intervention strategies in diabetes management., Conclusion: CITF-based target management mode can alleviate negative emotions in patients with diabetes mellitus and cardiovascular diseases, improve self-management, self-efficacy, and compliance, effectively control blood glucose and lipids, and improve quality of life. The study conclusions highlight the importance of CITF management models in improving the management of patients with diabetes and cardiovascular disease. This comprehensive intervention helps reduce negative emotions, improve self-management and compliance, effectively control blood sugar and blood lipids, and improve quality of life. These results have important clinical implications and provide strong support for better care of patients with chronic diseases.

As a significant infectious disease in livestock, porcine reproductive and respiratory syndrome (PRRS) imposes substantial economic losses on the swine industry. Identification of diagnostic markers and therapeutic targets has been a focal challenge in PPRS prevention and control. By integrating metabolomic and lipidomic serum analyses of clinical pig cohorts through a machine learning approach with in vivo and in vitro infection models, lysophosphatidic acid (LPA) is discovered as a serum metabolic biomarker for PRRS virus (PRRSV) clinical diagnosis. PRRSV promoted LPA synthesis by upregulating the autotaxin expression, which causes innate immunosuppression by dampening the retinoic acid-inducible gene I (RIG-I) and type I interferon responses, leading to enhanced virus replication. Targeting LPA demonstrated protection against virus infection and associated disease outcomes in infected pigs, indicating that LPA is a novel antiviral target against PRRSV. This study lays a foundation for clinical prevention and control of PRRSV infections., (© 2024 The Author(s). Advanced Science published by Wiley‐VCH GmbH.)

Background: Lung adenocarcinoma (LUAD), a global leading cause of cancer deaths, remains inadequately addressed by current protein biomarkers. Our study focuses on developing a protein-based risk signature for improved prognosis of LUAD., Methods: We employed the least absolute shrinkage and selection operator (LASSO)-COX algorithm on The Cancer Genome Atlas database to construct a prognostic model incorporating six proteins (CD49B, UQCRC2, SMAD1, FOXM1, CD38, and KAP1). The model's performance was assessed using principal component, Kaplan-Meier (KM), and receiver operating characteristic (ROC) analysis, indicating strong predictive capability. The model stratifies LUAD patients into distinct risk groups, with further analysis revealing its potential as an independent prognostic factor. Additionally, we developed a predictive nomogram integrating clinicopathologic factors, aimed at assisting clinicians in survival prediction. Gene set enrichment analysis (GSEA) and examination of the tumor immune microenvironment were conducted, highlighting metabolic pathways in high-risk genes and immune-related pathways in low-risk genes, indicating varied immunotherapy sensitivity. Validation through immunohistochemistry from the Human Protein Atlas (HPA) database and immunofluorescence staining of clinical samples was performed, particularly focusing on CD38 expression., Results: Our six-protein model (CD49B, UQCRC2, SMAD1, FOXM1, CD38, KAP1) effectively categorized LUAD patients into high and low-risk groups, confirmed by principal component, KM, and ROC analyses. The model showed high predictive accuracy, with distinct survival differences between risk groups. Notably, CD38, traditionally seen as protective, was paradoxically associated with poor prognosis in LUAD, a finding supported by immunohistochemistry and immunofluorescence data. GSEA revealed that high-risk genes are enriched in metabolic pathways, while low-risk genes align with immune-related pathways, suggesting better immunotherapy response in the latter group., Conclusions: This study presented a novel prognostic protein model for LUAD, highlighting the CD38 expression paradox and enhancing our understanding of protein roles in lung cancer progression. It offered new clinical tools for prognosis prediction and provided assistance for future lung cancer pathogenesis research., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-23-1940/coif). The authors have no conflicts of interest to declare., (2024 Translational Cancer Research. All rights reserved.)