Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response， which runs through the physiological and pathological evolution process of AS， is one of the important mechanisms for AS occurrence. Currently， the treatment methods for AS in Western medicine are relatively mature. However， they have adverse reactions such as abnormal liver and kidney function， drug tolerance， target vessel restenosis， and stent thrombosis， which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine （TCM）， characterized by multiple components， multiple targets， and multi-pathway synergy， shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways， such as nuclear factor-κB （NF-κB）， Toll-like receptors （TLRs）， mitogen-activated protein kinase （MAPK）， and Janus kinase/signal transducer and activator of transcription （JAK/STAT）， in the past five years. It summarized the combined mechanism of action of TCM monomers， TCM pairs， and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets， regulating lipid metabolism disorders， and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS， so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.

Atherosclerosis （AS） is the main pathological basis of cardiovascular diseases and seriously threatens human quality of life. Its prevention and treatment urgently need breakthroughs. The inflammatory response， which runs through the physiological and pathological evolution process of AS， is one of the important mechanisms for AS occurrence. Currently， the treatment methods for AS in Western medicine are relatively mature. However， they have adverse reactions such as abnormal liver and kidney function， drug tolerance， target vessel restenosis， and stent thrombosis， which remain the key bottleneck restricting clinical efficacy. Traditional Chinese medicine （TCM）， characterized by multiple components， multiple targets， and multi-pathway synergy， shows unique clinical application potential and efficacy advantages in the intervention of AS. This article reviewed the research progress of TCM in intervening in AS by regulating inflammatory-related signaling pathways， such as nuclear factor-κB （NF-κB）， Toll-like receptors （TLRs）， mitogen-activated protein kinase （MAPK）， and Janus kinase/signal transducer and activator of transcription （JAK/STAT）， in the past five years. It summarized the combined mechanism of action of TCM monomers， TCM pairs， and compound preparations in inhibiting the inflammatory cascade reaction through multiple targets， regulating lipid metabolism disorders， and improving vascular endothelial dysfunction and the imbalance of the microenvironment. It deepened the research on the molecular mechanism of TCM in anti-AS， so as to provide a scientific basis for the clinical transformation application and related theoretical research of TCM in anti-AS.

ObjectiveTo prepare a recombinant PETase with a dual-catalytic-triad and to evaluate its efficiency in the biodegradation of polyethylene terephthalate （PET）. MethodsBased on the crystal structure of wild-type PETase， point mutations （T88H/L117D） were introduced via site-directed mutagenesis. The recombinant protein was prepared using prokaryotic expression and chromatography purification techniques. The enzymatic hydrolysis of the mutant PETase was assessed by relatively quantifying the products mono （2-hydroxyethyl） terephthalate （MHET） and terephthalic acid （TPA）. ResultsBoth wild-type and mutant PETases accumulated as inclusion bodies， accounting for approximately 20% of the total bacterial protein. After solubilization in urea， the proteins were eluted at 300 mmol/L imidazole during affinity chromatography purification， with concentrations of 1.824 and 1.833 mg/mL and purities of 83.11% and 84.32%， respectively. Subsequent anion-exchange chromatography yielded highly pure enzymes in the 200 mmol/L NaCl fraction： 2.776 mg/mL （96.86% purity） for the wild type and 1.967 mg/mL （95.13% purity） for the mutant. Following refolding， the final concentrations were 0.484 mg/mL for the wild type and 0.991 mg/mL for the mutant. Hydrolysis assays revealed that the mutant released MHET and TPA at （237.67±17.00）% and （197.33±12.01）% of the wild-type levels， respectively. ConclusionThe T88H/L117D dual-catalytic-triad PETase is successfully prepared and it significantly enhanced PET-degrading activity， thus， it′s a promising biocatalyst for PET bioremediation.

OBJECTIVE: To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk. METHODS: A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk. RESULTS: A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses. CONCLUSION The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/etiology* ; ABO Blood-Group System ; Adult ; Prospective Studies ; Risk Factors ; Young Adult

OBJECTIVES: To explore the mediating role of sleep duration in the relationship between depression symptoms and myopia among middle school students. METHODS: This study was a cross-sectional research conducted using a stratified cluster random sampling method. A total of 1 728 middle school students were selected from two junior high schools and two senior high schools in certain urban areas and farms of the Xinjiang Production and Construction Corps. Questionnaire surveys and vision tests were conducted among the students. Spearman analysis was used to analyze the correlation between depression symptoms, sleep duration, and myopia. The Bootstrap method was employed to investigate the mediating effect of sleep duration between depression symptoms and myopia. RESULTS: The prevalence of myopia in the overall population was 74.02% (1 279/1 728), with an average sleep duration of (7.6±1.0) hours. The rate of insufficient sleep was 83.62% (1 445/1 728), and the proportion of students exhibiting depression symptoms was 25.29% (437/1 728). Correlation analysis showed significant negative correlations between visual acuity in both eyes and sleep duration with depressive emotions as measured by the Center for Epidemiologic Studies Depression Scale (with correlation coefficients of -0.064, -0.084, and -0.199 respectively; P<0.01), as well as with somatic symptoms and activities (with correlation coefficients of -0.104, -0.124, and -0.233 respectively; P<0.01) and interpersonal relationships (with correlation coefficients of -0.052, -0.059, and -0.071 respectively; P<0.05). The correlation coefficients for left and right eye visual acuity and sleep duration were 0.206 and 0.211 respectively (P<0.001). Sleep duration exhibited a mediating effect between depression symptoms and myopia (indirect effect=0.056, 95%CI: 0.029-0.088), with the mediating effect value for females (indirect effect=0.066, 95%CI: 0.024-0.119) being higher than that for males (indirect effect=0.042, 95%CI: 0.011-0.081). CONCLUSIONS Sleep duration serves as a partial mediator between depression symptoms and myopia in middle school students.
Humans ; Myopia/etiology* ; Male ; Female ; Depression/physiopathology* ; Cross-Sectional Studies ; Sleep ; Adolescent ; Students ; Child ; Time Factors ; Sleep Duration

Ferroptosis has received great attention as an iron-dependent programmed cell death for efficient cancer therapy. However, with the accumulation of iron in tumor cells, the antioxidant system is activated by reducing glutathione (GSH) with glutathione peroxidase 4 (GPX4), which critically limits the ferroptosis therapeutic effect. Herein, an iron and GPX4 silencing siRNA (siGPX4) co-encapsulated ferritin nanocage (HFn@Fe/siGPX4) was developed to enhance ferroptosis by disruption of redox homeostasis and inhibition of antioxidant enzyme synergistically. The siGPX4 were loaded into the nanocages by pre-incubated with iron, which could significantly improve the loading efficiency of the gene drugs when compared with the reported gene drug loading strategy by ferritin nanocages. And more iron was overloaded into the ferritin through the diffusion method. When HFn@Fe/siGPX4 was taken up by human breast cancer cell MCF-7 in a TfR1-mediated pathway, the excess iron ions in the drug delivery system could for one thing induce ferroptosis by the production of reactive oxygen species (ROS), for another promote siGPX4 escaping from the lysosome to exert gene silencing effect more effectively. Both the in vitro and in vivo results demonstrated that HFn@Fe/siGPX4 could significantly inhibit tumor growth by synergistical ferroptosis. Thus, the developed HFn@Fe/siGPX4 afforded a combined ferroptosis strategy for ferroptosis-based antitumor as well as a novel and efficient gene drug delivery system.

Drug resistance is one of the key factors affecting the effectiveness of cancer treatment methods, including chemotherapy, radiotherapy, and immunotherapy. Its occurrence is related to factors such as mRNA expression and methylation within cancer cells. If drug resistance in patients can be accurately identified early, doctors can devise more effective treatment plans, which is of great significance for improving patients' survival rates and quality of life. Cancer drug resistance prediction based on artificial intelligence (AI) technology has emerged as a current research hotspot, demonstrating promising application prospects in guiding clinical individualized and precise medication for cancer patients. This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. It provides a detailed exposition of the processes involved in data processing and model construction, examines the current challenges faced in this field and future development directions, with the aim of better advancing the progress of precision medicine.

Klebsiella pneumoniae is a widespread Gram-negative bacterium in Asia, and the emergence of antibiotic-resistant strains has significantly complicated treatment strategies. Traditional Chinese medicine, which has made remarkable contributions to public health in Asia for thousands of years, may offer promising antibacterial strategies. Chinese herbal medicine (CHM), the primary therapeutic modality of traditional Chinese medicine, exhibits antimicrobial activity, modulates the immune system, and has the potential to reverse antibiotic resistance through various mechanisms. However, no review has comprehensively summarized the efficacy and underlying mechanisms of CHM in treating antibiotic-resistant K. pneumoniae infections. In this study, we conducted a comprehensive review of relevant literatures published up to 2025, using the keywords “Klebsiella pneumoniae,” “traditional Chinese medicine,” and “Chinese herbal medicine” across databases including PubMed, Web of Science, ScienceDirect, and China National Knowledge Infrastructure. This review first introduces the taxonomy, virulence factors, and antibiotic resistance profile of K. pneumoniae. We then summarize CHM formulas, extracts, and active ingredients with reported antibacterial effects against K. pneumoniae, including their minimum inhibitory concentrations and mechanisms. Additionally, we highlight CHM interventions that enhance host immune responses and alleviate symptoms associated with K. pneumoniae infections. Furthermore, combining CHM with antibiotics represents a novel strategy to enhance antibiotic efficacy and combat resistance. We therefore summarize the synergistic effects and mechanisms of CHM-antibiotic combinations. Overall, this review underscores the multifaceted therapeutic potential of CHM and its active ingredients, including direct antibacterial action, immune modulation, and synergy with conventional antibiotics, providing an integrative approach to address the global challenge of antimicrobial resistance.

In clinical practice, antibiotics have historically been utilized for the treatment of pathogenic bacteria. However, the gradual emergence of antibiotic resistance among bacterial strains has posed a significant challenge to this approach. In 2022, Escherichia coli, a Gram-negative bacterium renowned for its widespread pathogenicity and high virulence, emerged as the predominant pathogenic bacterium in China. The rapid emergence of antibiotic-resistant E. coli strains has rendered antibiotics insufficient to fight E. coli infections. Traditional Chinese medicine (TCM) has made remarkable contributions to the health of Chinese people for thousands of years, and its significant therapeutic effects have been proven in clinical practice. In this paper, we provide a comprehensive review of the advances and mechanisms of TCM and its active ingredients against antibiotic-resistant E. coli infections. First of all, this review introduces the classification, antibiotic resistance characteristics and mechanisms of E. coli. Then, the TCM formulas and extracts are listed along with their active ingredients against E. coli, including extraction solution, minimum inhibitory concentration (MIC), and the antibacterial mechanisms. In addition, there is growing evidence supporting the synergistic therapeutic strategy of combining TCM with antibiotics for the treatment of antibiotic-resistant E. coli infections, and we provide a summary of this evidence and its underlying mechanisms. In conclusion, we present a comprehensive review of TCM and highlight its potential and advantages in the prevention and treatment of E. coli infections. We hold the opinion that TCM will play an important role in global health, pharmaceutical development, and livestock farming in the future.

Klebsiella pneumoniae is a widespread Gram-negative bacterium in Asia,and the emergence of antibiotic-resistant strains has sig-nificantly complicated treatment strategies.Traditional Chinese medicine,which has made remarkable contributions to public health in Asia for thousands of years,may offer promising antibacterial strategies.Chinese herbal medicine(CHM),the primary therapeutic modality of traditional Chinese medicine,exhibits antimicrobial activity,modulates the immune system,and has the potential to reverse antibiotic resistance through various mechanisms.However,no review has comprehensively summarized the efficacy and underlying mechanisms of CHM in treating antibiotic-resistant K.pneumoniae infections.In this study,we conducted a comprehen-sive review of relevant literatures published up to 2025,using the keywords"Klebsiella pneumoniae,""traditional Chinese medicine,"and"Chinese herbal medicine"across databases including PubMed,Web of Science,ScienceDirect,and China National Knowledge Infrastructure.This review first introduces the taxonomy,virulence factors,and antibiotic resistance profile of K.pneumoniae.We then summarize CHM formulas,extracts,and active ingredients with reported antibacterial effects against K.pneumoniae,including their minimum inhibitory concentrations and mechanisms.Additionally,we highlight CHM interventions that enhance host immune responses and alleviate symptoms associated with K.pneumoniae infections.Furthermore,combining CHM with antibiotics rep-resents a novel strategy to enhance antibiotic efficacy and combat resistance.We therefore summarize the synergistic effects and mechanisms of CHM-antibiotic combinations.Overall,this review underscores the multifaceted therapeutic potential of CHM and its active ingredients,including direct antibacterial action,immune modulation,and synergy with conventional antibiotics,providing an integrative approach to address the global challenge of antimicrobial resistance.