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 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.

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*

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.

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.

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 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.

Lipophosphatidic acid(LTA)was used to stimulate Mac-T cells,and the expression lev-els and phosphorylation levels of key proteins of nuclear factor-κB(NF-κB)and mitogen-activated protein kinase(MAPK)signaling pathway and the expression levels of upstream key action factors TLR4 and MyD88 proteins were detected by Western blot,and EDU assay was used to detect cell proliferation levels and flow cytometry was used to detect apoptosis.The results showed that acti-vation of GPR120 significantly decreased the phosphorylation levels of LTA-induced NF-κB(P65 and IκBα)(P＜0.01)and MAPK(JNK,ERK,p38)(P＜0.01)in Mac-T cells;inhibition of GPR120 was able to upregulate LTA-induced NF-κB(p65 and IκBα)in Mac-T cells(P＜0.01)and MAPK(JNK,ERK,p38)phosphorylation levels(P＜0.01);and activation of GPR120 significantly allevia-ted LTA-induced upregulation of TLR4 and MyD88(P＜0.01);inhibition of GPR120 significantly exacerbated LTA-induced upregulation of TLR4 and MyD88(P＜0.05);LTA stimulation led to a trend of diminished Mac-T cell proliferation and significantly increased apoptosis,whereas activa-tion of the GPR120 gene significantly increased cell activity(P＜0.01),promoted cell proliferation and significantly reduced apoptosis(P＜0.05)thereby alleviating the damage to Mac-T cells by LTA;LTA stimulation led to a highly significant increase in apoptosis(P＜0.01).In contrast,acti-vation of the GPR120 gene significantly reversed the increase in the apoptosis rate of Mac-T cells induced by LTA(P＜0.01),while inhibition of the GPR120 gene enhanced the apoptosis-promo-ting effect of LTA(P＜0.05),indicating that activation of the GPR120 gene attenuated the in-crease of apoptosis rate caused by LTA-induced inflammatory Mac-T cells.The results suggest that GPR120 can regulate inflammation by mediating TLR4 and MyD88 expression to inhibit NF-κB/MAPK inflammatory pathway activation and can promote cell proliferation.

OBJECTIVES: Sepsis remains a major global health challenge, yet specific diagnostic biomarkers are still lacking. This study aims to investigate the causal relationship between B7 homologue 3 (B7-H3) and sepsis susceptibility, severity, and clinical outcomes using Mendelian randomization (MR) analysis, in order to evaluate its potential as a biomarker. METHODS: Genetic data related to sepsis (including overall sepsis, sepsis-related mortality with 28 days, severe sepsis, and severe sepsis with 28-day mortality) were extracted from genome-wide association study (GWAS) datasets. Single nucleotide polymorphisms (SNPs) associated with B7-H3 were selected as instrumental variables. The inverse-variance weighted (IVW) was used as the primary approach for causal effect estimation, while weighted median (WME) and MR-Egger regression served as supplementary methods. Additionally, a constrained maximum likelihood-model average (cML-MA) approach was employed to enhance the reliability of causal effect estimation. Cochran's Q test was conducted to assess heterogeneity, and MR-PRESSO along with the MR-Egger intercept method were used to detect horizontal pleiotropy. Sensitivity analyses were performed using the leave-one-out method. A reverse MR analysis was performed with sepsis as the exposure and B7-H3 as the outcome to exclude potential reverse causation. RESULTS: IVW analysis indicated a significant positive causal association between B7-H3 and sepsis susceptibility, severity, and clinical outcomes. A genetically predicted 1-standard deviation (SD) increase in B7-H3 levels was associated with a 10.4% increased risk of sepsis (OR=1.104, 95% CI 1.021 to 1.194, P=0.013), a 26.2% increased risk of sepsis-related 28-day mortality (OR=1.262, 95% CI 1.078 to 1.476, P=0.004), a 22.3% increased risk of severe sepsis (OR=1.223, 95% CI 1.023 to 1.463, P=0.027), and a 60.2% increased risk of severe sepsis with 28-day mortality (OR=1.602, 95% CI 1.119 to 2.294, P=0.010). The causal effect direction remained consistent across IVW, WME, MR-Egger, and cML-MA analyses, reinforcing the robustness and reliability of the results. Cochran's Q test showed no heterogeneity (P>0.05), while MR-PRESSO and MR-Egger intercept tests indicated no evidence of horizontal pleiotropy (both P>0.05). The leave-one-out analysis showed that removing individual SNPs did not significantly alter the causal estimates. Reverse MR analysis showed no causal association between sepsis and B7-H3. CONCLUSIONS B7-H3 may serve as an important biomarker for sepsis, as it is closely associated with sepsis susceptibility, severity, and clinical outcomes.
Sepsis/mortality* ; Humans ; Mendelian Randomization Analysis ; Polymorphism, Single Nucleotide ; B7 Antigens/genetics* ; Prognosis ; Genome-Wide Association Study ; Biomarkers ; Genetic Predisposition to Disease