Objective·To investigate the effects and molecular mechanisms of phosphatidylethanolamine(PE)on macrophage senescence and its senescence-associated secretory phenotype(SASP),as well as its pathophysiological role in liver injury.Methods·A macrophage senescence model was established using doxorubicin(DOX),followed by PE treatment.A mouse liver injury model was generated via intraperitoneal co-administration of PE and lipopolysaccharide(LPS)to investigate the effects of PE on liver injury.Senescence markers and SASP factors,including senescence-associated β-galactosidase(SA-β-gal),cell cycle inhibitor p21,tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6),were evaluated using SA-β-gal staining,quantitative real-time PCR,and Western blotting.RNA sequencing(RNA-seq)was performed,followed by Gene Ontology(GO)cellular component enrichment analysis,Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,Gene Set Variation Analysis(GSVA),and Gene Set Enrichment Analysis(GSEA),to explore the molecular mechanisms and signaling pathways by which PE promotes macrophage senescence.The expression of endoplasmic reticulum(ER)stress-related proteins,including inositol-requiring enzyme 1 α(IRE1α),spliced X-box binding protein 1(XBP1s),activating transcription factor 6(ATF6),ATF4,and C/EBP homologous protein(CHOP),was analyzed through in vivo and in vitro experiments.Results·PE significantly promoted the expression of senescence markers SA-β-gal,p21,p16 and SASP factors.RNA-seq analysis revealed that ER stress was involved in PE-induced promotion of SASP.Further experiments demonstrated that PE activated the ER stress signaling pathway,promoting macrophage senescence and the expression of SASP factors.In vivo experiments further confirmed that PE exacerbated LPS-induced liver injury in mice through ER stress.Conclusion·PE promotes macrophage senescence and the expression of SASP factors by activating ER stress signaling pathway,thereby aggravating LPS-induced liver injury.

Various therapeuti modailities have been engineered for lung cancer treatment, but their clinic application is severely impeded by the poor therapy efficiency and immunosuppressive microenvironment. Herein, we fabricated a library of small molecule redox-labile nanoparticles (NPs) (i.e., diPTX-2C NPs, diPTX-2S NPs, and diPTX-2Se NPs) by the self-assembly of dimer paclitaxel (PTX) prodrug, and then utilized these NPs with the traditional Chinese medicine (TCM) Qi-Yu-San-Long-Fang (Q) for effective chemoimmunotherapy on Lewis lung carcinoma (LLC)-bearing mice models. Under the high concentration of glutathione (GSH) and H₂O₂, diPTX-2Se NPs could specifically release PTX in cancer cells and exert a higher selectivity and toxicity than normal cells. In LLC tumor-bearing mice, oral administration of Q not only effectively downregulated programmed death ligand-1 (PD-L1) expression, but also remodeled the immunosuppressive tumor immune microenvironment via the increase of CD4⁺ T and CD8⁺ T cell proportion and the repolarization of M2 into M1 macrophages in tumor tissues, collectively achieving superior synergistic treatment outcomes in combination with intravenous PTX prodrug NPs. Besides, we found that the combination regimen also demonstrated excellent chemoimmunotherapeutic performances on low-dose small established tumor and high-dose large established tumor models. This study may shed light on the potent utilization of Chinese and Western-integrative strategy for efficient tumor chemoimmunotherapy.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Objective To investigate the correlations of fibrinogen-to-albumin ratio(Fib/Alb),soluble myeloid cell triggering receptor-like transcript factor-1(sTLT-1)and neutrophil gelatinase-as-sociated lipocalin(NGAL)in peripheral blood at admission with the risk of poor prognosis in patients with acute thoracoabdominal trauma and their early warning values.Methods A prospective study was conducted in 152 patients with acute thoracoabdominal trauma in the hospital from January 2022 to May 2024.The patients were divided into good prognosis group(n=120)and poor prognosis group(n=32)according to their prognosis.Baseline data and the levels of Fib/Alb,sTLT-1 and NGAL in peripheral blood at admission were compared between the two groups.The relationships between the levels of Fib/Alb,sTLT-1,and NGAL in peripheral blood at admission and the severity of trauma[the Circulation,Respiration,Abdomen,Movement,and Speech(CRAMS)score]and the risk of poor prognosis were analyzed.The early warning values of the levels of Fib/Alb,sTLT-1 and NGAL in peripheral blood at admission for the risk of poor prognosis were evaluated.Results The time from injury to admission in the poor prognosis group was longer than that in the good prognosis group,the CRAMS score,the Glasgow Coma Scale(GCS)score,and the levels of Fib,Alb and Fib/Alb in peripheral blood at admission in the poor prognosis group were lower than those in the good prognosis group,while the Sequential Organ Failure Assessment(SOFA)score and the levels of sTLT-1 and NGAL in peripheral blood at admission were higher than those in the good prognosis group,with statistically significant between-group differences(P＜0.05).The levels of Fib,Alb and Fib/Alb in peripheral blood at admission showed a decreasing trend,while the levels of sTLT-1 and NGAL showed an increasing trend in patients with mild,severe,and extremely severe trauma,with statistically significant differences(P＜0.05).Pearson correlation analysis showed that the level of Fib/Alb in peripheral blood at admission(r=0.839)was positively correlated with the CRAMS score,while the levels of sTLT-1 and NGAL(r=-0.832,-0.808)were negatively cor-related with the CRAMS score(P＜0.05).Logistic regression analysis showed that after adjusting for confounding factors,the levels of Fib/Alb(OR=0.769),sTLT-1(OR=1.562)and NGAL(OR=1.575)in peripheral blood at admission were still independently correlated with the risk of poor prognosis(P＜0.05).The receiver operating characteristic(ROC)curve showed that the area under the curve(AUC)for the combined early warning of the risk of poor prognosis by the levels of Fib/Alb,sTLT-1,and NGAL in peripheral blood at admission was 0.918,which was superior to the early warning value of individual indicators(Z=2.992,2.291,2.082,P＜0.05).Conclusion The levels of Fib/Alb,sTLT-1 and NGAL in peripheral blood are closely related to the severity of trauma and prognosis in patients with acute thoracoabdominal trauma.Combined detection has a certain ear-ly warning value for the risk of poor prognosis and can be used as potential factors for clinical assess-ment of trauma condition and early warning of the risk of poor prognosis.

Objective·To investigate the effects and molecular mechanisms of phosphatidylethanolamine(PE)on macrophage senescence and its senescence-associated secretory phenotype(SASP),as well as its pathophysiological role in liver injury.Methods·A macrophage senescence model was established using doxorubicin(DOX),followed by PE treatment.A mouse liver injury model was generated via intraperitoneal co-administration of PE and lipopolysaccharide(LPS)to investigate the effects of PE on liver injury.Senescence markers and SASP factors,including senescence-associated β-galactosidase(SA-β-gal),cell cycle inhibitor p21,tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6),were evaluated using SA-β-gal staining,quantitative real-time PCR,and Western blotting.RNA sequencing(RNA-seq)was performed,followed by Gene Ontology(GO)cellular component enrichment analysis,Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,Gene Set Variation Analysis(GSVA),and Gene Set Enrichment Analysis(GSEA),to explore the molecular mechanisms and signaling pathways by which PE promotes macrophage senescence.The expression of endoplasmic reticulum(ER)stress-related proteins,including inositol-requiring enzyme 1 α(IRE1α),spliced X-box binding protein 1(XBP1s),activating transcription factor 6(ATF6),ATF4,and C/EBP homologous protein(CHOP),was analyzed through in vivo and in vitro experiments.Results·PE significantly promoted the expression of senescence markers SA-β-gal,p21,p16 and SASP factors.RNA-seq analysis revealed that ER stress was involved in PE-induced promotion of SASP.Further experiments demonstrated that PE activated the ER stress signaling pathway,promoting macrophage senescence and the expression of SASP factors.In vivo experiments further confirmed that PE exacerbated LPS-induced liver injury in mice through ER stress.Conclusion·PE promotes macrophage senescence and the expression of SASP factors by activating ER stress signaling pathway,thereby aggravating LPS-induced liver injury.

BACKGROUND:Cognitive impairment is the most common complication after stroke,and its severity is closely related to the patient's prognosis.The prognosis of patients can be significantly improved if the severity of their cognitive impairment is recognized and targeted early.OBJECTIVE:To initially explore potential biomarkers affecting the progression of post-stroke cognitive impairment,thereby providing a richer and unique reference for the study of their pathophysiological mechanisms.METHODS:Using ultra performance liquid chromatography-mass spectrometry,non-targeted metabolomics analysis was conducted on serum samples from patients with mild and moderate post-stroke cognitive impairment to identify differential metabolites between the two groups.To further validate the diagnostic efficacy of the differential metabolites,the receiver operating characteristic curve analysis was used to evaluate their accuracy and sensitivity in distinguishing disease severity.In addition,pathway analysis was conducted on the differential metabolites.RESULTS AND CONCLUSION:(1)There were significant differences in metabolic profiles between patients with mild and moderate post-stroke cognitive impairment,and 9 differential metabolites were screened by the receiver operating characteristic curve.(2)Differential metabolite pathway analysis revealed that the metabolic pathways affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment included tryptophan metabolism,D-amino acid metabolism,biotin metabolism,retinol metabolism,aminoacyl-tRNA biosynthesis,lysine degradation,protein digestion and uptake,pyrimidine metabolism,cysteine and methionine metabolism,ABC transporter proteins,amino acid biosynthesis,and 2-oxocarboxylic acid metabolism.To conclude,9 potential biomarkers affecting disease progression in patients with mild-to-moderate post-stroke cognitive impairment have been identified,involving 12 metabolic pathways including tryptophan metabolism,D-amino acid metabolism and retinol metabolism.

Objective:To describe the characteristics, etiology and patterns of outpatients and inpatients patients with moderate or severe valvular heart disease (VHD).Methods:This is a cross-sectional study. Outpatients and inpatients with moderate or severe VHD who underwent transthoracic echocardiography for first examination from 1 st January 2001 to 1 st January 2020 in Southwest Hospital, Army Medical University were enrolled. Data were collected from medical records and big data platform of Southwest Hospital. Characteristics of age and gender, etiology and types of VHD were descriptively analysed. Results:A total of 68 354 patients with moderate or severe VHD were enrolled. The age was 63 (50, 72) years. And 35 706 (52.24%) patients were female. (1) Age characteristics: There was similar age trend between male and female patients with moderate or severe VHD. The number of patients increased firstly and then decreased and reached its peak in the age group of 65-69 years old. The peak age of mitral stenosis patients was 45-49 years, which was earlier than that of whole patients with moderate or severe VHD. The median age of patients with bicuspid aortic valve was 42 years. (2) Gender characteristics: The proportion of tricuspid regurgitation, pulmonary regurgitation, mitral regurgitation, mitral stenosis and valve surgery in female patients with moderate or severe VHD were higher than those in male patients. The proportion of aortic regurgitation, aortic stenosis and bicuspid aortic valve in male patients with moderate or severe VHD were significantly higher than those in female patients (all P<0.05). (3) Etiology: The proportion of rheumatic VHD was 13.07% (8 934/68 354), which was higher than that of degenerative VHD (0.67% (458/68 354)). (4) Types of VHD: Tricuspid regurgitation made contribution to the largest proportion with 60.72% (41 503/68 354), followed by mitral regurgitation, aortic regurgitation, mitral stenosis, pulmonary regurgitation and aortic stenosis. Conclusions:There are certain regional characteristics in the prevalence of moderate or severe VHD in southwest China, suggesting different attention should be paid on the whole process of refined management of moderate or severe VHD.

Gastrointestinal motility disorder is an important cause of digestive system diseases. Patients often suffer from nausea， vomiting， gastric retention， gastroparesis， constipation， and many other symptoms， and their quality of life is seriously reduced. Prokinetic agents are routinely used in clinical practice， but their long-term use is prone to problems such as reduced efficacy and increased adverse reactions. Since the incidence of gastrointestinal diseases has continued to rise globally in recent years， there is an urgent need for clinical development of safe and effective treatment strategies. Aurantii Fructus， a traditional Chinese medicine， has the effect of smoothing Qi and eliminating distention， and it has been used to treat gastrointestinal diseases for thousands of years. In modern clinical practice， it is mainly used for the treatment and auxiliary treatment of various gastrointestinal diseases such as functional dyspepsia， functional constipation， and irritable bowel syndrome. The efficacy is remarkable， and no adverse reactions have been reported at conventional doses. Therefore， it can greatly improve the symptoms of patients with gastrointestinal diseases and improve their quality of life. Modern research has revealed that there are many active components in Aurantii Fructus， among which flavonoids have the highest content and the most types. Flavonoids are the main active components in Aurantii Fructus to regulate gastrointestinal motility. Aurantii Fructus and its active components can affect gastrointestinal hormones， neural pathways， Cajal mesenchymal cells， and other multiple mechanisms. They can adjust gastrointestinal motility and correct gastrointestinal motility disorders， showing potential application value in the treatment of gastrointestinal motility disorders. However， a comprehensive analysis of Aurantii Fructus in this aspect is still lacking. This study summarized the pharmacological activities of active components of Aurantii Fructus extract and its flavonoids， volatile oils， alkaloids， and coumarin on the regulation of gastrointestinal motility and explored the latest research progress on its mechanism. Finally， the adverse reactions of Aurantii Fructus were summarized. It aims to provide a scientific basis for the research and clinical application of Aurantii Fructus and its active components in the regulation of gastrointestinal motility.