Plant-derived extracellular vesicles (PDEVs), describe a group of nanoparticles released by plants. These particles are characterized by a lipid bilayer structure containing various proteins, lipids, nucleic acids, and unique metabolites. Although the study on PDEVs is relatively new, having only been around for ten years, they have shown promising development prospects in both basic research and clinical transformation areas. Evidence suggests that PDEVs have excellent application prospects in regulating inflammation and treating tumors. Their distinctive, vesicle-mimicking architecture and stellar biocompatibility render them prime candidates for ferrying various anti-cancer agents, including RNA, proteins, and conventional chemotherapy drugs. Increasingly, studies have shown that PDEVs can be engineered as an innovative platform for combination cancer immunotherapy. Consequently, this paper provides an extensive summary of current developments in engineering methods and strategies for PDEVs in cancer treatment and combined cancer immune therapeutics. The essential characteristics of PDEVs, including the biogenesis process and components, as well as their anti-tumor activity and mechanism, are summarized. Finally, the in vivo safety of PDEVs as delivery vectors and the challenges of scale-up production and clinical transformation are discussed.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Objective To observe the impact factors of obesity(Ob)complicated with type 2 diabetes mellitus(T2DM).Methods Twenty Ob patients complicated with T2DM(group A)and 47 simple Ob patients(group B)were retrospectively enrolled.The blood glucose related indicators,including fasting blood glucose(FBG),fasting insulin(FINS)and glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),as well as fat quantitative parameters measured with dual-energy X-ray absorptiometry,CT or MRI were compared between groups,their correlations were analyzed,and the impact factors of Ob complicated with T2DM were explored.Results FBG,HbA1c and HOMA-IR in group A were all higher,while the total body fat mass percentage(TFM%)and leg fat mass percentage(LFM%)in group A were both lower than those in group B(all P＜0.05).Proton density fat fraction(PDFF)of liver and lumbar bone marrow in group A were both higher than those in group B(both P＜0.05).TFM%and LFM%in all 67 Ob patients were negatively correlated with FBG or HbA1c,while TFM%and Android region fat mass percentage(Android FM%)were both negatively correlated with HOMA-IR(r=-0.447—-0.263,all P＜0.05).For all 67 Ob patients,the area of visceral adipose tissue(VAT)was positively correlated with HOMA-IR(r=0.339,P=0.006),liver PDFF was positively correlated with FBG,HbA1c and HOMA-IR,and PDFF of lumbar bone marrow was positively correlated with FBG(r=0.323-0.599,all P＜0.05).Elevated LFM%was a protective factor,while elevated PDFF of liver and pancreas were both risk factors of Ob complicated with T2DM(all P＜0.05).Conclusion LFM%and liver PDFF were both impact factors of Ob complicated with T2DM.

Objective To explore the effects of acceptance and commitment therapy(ACT)on anxiety,depression and self-management abilities of patients with maintenance hemodialysis(MHD).Methods A total of 140 MHD patients from June 2021 to December 2023 were selected as research subjects,and were randomly divided into control group and study group,with 70 cases in each group.The control group received routine nursing,while the study group received ACT intervention based on routine nursing care.Score of Self-rating Anxiety Scale(SAS),score of Self-rating Depression Scale(SDS),and score of self-management ability were compared before and after intervention in both groups.Results After intervention,the SAS and SDS scores in both groups decreased significantly,with the study group having significantly lower SAS and SDS scores than the control group(P＜0.05).After intervention,the self-management ability scores of all dimensions in both groups were sig-nificantly higher than those before intervention,with the study group having significantly higher scores in all dimensions than the control group(P＜0.05).Conclusion ACT can improve anxiety and de-pression in MHD patients,enhance their self-management abilities,and improve their quality of life.

Background and aims:Metabolic dysfunction-associated fatty liver disease(MAFLD)is a common chronic condition that can lead to cancer due to its complex pathogenesis.Therapeutic agents targeting AMP-activated protein kinase(AMPK)activation have been suggested as potential treatments for metabolic disorders such as metabolic dysfunction-associated steatohepatitis(MASH).Rhizoma Atractylodis Mac-rocephalae(RAM)has been clinically used to treat obesity-related health problems,but its therapeutic effects on MAFLD and the underlying mechanism remain unclear.Therefore,this study was conducted to evaluate the function and underlying mechanism of RAM in the treatment of MAFLD.Methods:The effect of RAM decoction on MAFLD was evaluated using a high-fat diet(HFD)-induced MAFLD mouse model.In vitro studies were conducted using a palmitic acid/oleic acid-induced lipid accumulation model in the alpha mouse liver 12 cells and RAM-containing serum.The underlying mechanisms were elucidated through a combination of network pharmacology analysis,immunohis-tochemistry,western blotting,and polymerase chain reaction analysis.Results:Administration of RAM decoction significantly reduced body weight gain in MAFLD mice without changing food intake.The weights of the liver and inguinal adipose tissues were also reduced after RAM treatment.Additionally,RAM administration decreased serum levels of alanine aminotrans-ferase,aspartate transaminase,total cholesterol,triglyceride,low-density lipoprotein cholesterol,and glucose,while reducing lipid droplet accumulation in the liver tissues of MAFLD mice.The underlying mechanisms included the activation of the phosphorylation of AMPK and acetyl-CoA carboxylase(ACC),and inhibition of the expression of sterol regulatory element binding protein 1(SREBP1).However,RAM did not alter the protein expression levels of peroxisome proliferator-activated receptor α and carnitine palmitoyltransferase-1α.Furthermore,the RAM-induced upregulation of phosphorylated AMPK,phos-phorylated ACC,and SREBP1 expression,as well as the downregulation of fatty acid synthase expression,were reversed by using an AMPK inhibitor.Conclusions:Through a combination of network pharmacology and experimental validation,we demonstrated that RAM may exert therapeutic effects on MAFLD by inhibiting lipid synthesis and activating phosphorylated AMPK pathways.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

Objective To observe the impact factors of obesity(Ob)complicated with type 2 diabetes mellitus(T2DM).Methods Twenty Ob patients complicated with T2DM(group A)and 47 simple Ob patients(group B)were retrospectively enrolled.The blood glucose related indicators,including fasting blood glucose(FBG),fasting insulin(FINS)and glycosylated hemoglobin(HbA1c),homeostasis model assessment of insulin resistance(HOMA-IR),as well as fat quantitative parameters measured with dual-energy X-ray absorptiometry,CT or MRI were compared between groups,their correlations were analyzed,and the impact factors of Ob complicated with T2DM were explored.Results FBG,HbA1c and HOMA-IR in group A were all higher,while the total body fat mass percentage(TFM%)and leg fat mass percentage(LFM%)in group A were both lower than those in group B(all P＜0.05).Proton density fat fraction(PDFF)of liver and lumbar bone marrow in group A were both higher than those in group B(both P＜0.05).TFM%and LFM%in all 67 Ob patients were negatively correlated with FBG or HbA1c,while TFM%and Android region fat mass percentage(Android FM%)were both negatively correlated with HOMA-IR(r=-0.447—-0.263,all P＜0.05).For all 67 Ob patients,the area of visceral adipose tissue(VAT)was positively correlated with HOMA-IR(r=0.339,P=0.006),liver PDFF was positively correlated with FBG,HbA1c and HOMA-IR,and PDFF of lumbar bone marrow was positively correlated with FBG(r=0.323-0.599,all P＜0.05).Elevated LFM%was a protective factor,while elevated PDFF of liver and pancreas were both risk factors of Ob complicated with T2DM(all P＜0.05).Conclusion LFM%and liver PDFF were both impact factors of Ob complicated with T2DM.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Tumor microenvironment(TME)is a complex cellular environment where tumor cells reside,along with various types of cells and extracellular components surrounding the tumor cells.Immune cells are key components of TME,including tumor-associated macrophages(TAMs),myeloid-derived suppressor cells(MDSCs),lymphocytes,regulatory T cells(Tregs),natural killer cells(NK cells),dendritic cells(DCs),and many others.It is worth noting that drug resistance is currently a major factor limiting the efficacy of cancer treatment methods such as chemotherapy,radiotherapy,targeted therapy,and immunotherapy,and a leading cause of treatment failure.Research has found that the development of drug resistance in tumor cells is the result of interactions between tumor cells and TME.Consequently,overcoming drug resistance in tumors caused by TME is considered a significant challenge in cancer treatment.In recent years,with in-depth research into immune cells within TME,significant progress has been made in understanding the specific mechanisms by which immune cells regulate drug resistance in tumor cells.Furthermore,therapeutic strategies that target these immune cells,signaling pathways,or cytokines have been shown to effectively combat tumor drug resistance and enhance the therapeutic outcomes of cancer treatment.This article reviews the research advancements regarding the roles of TAMs,MDSCs,Tregs,and NK cells in tumor drug resistance within TME and discusses the development of targeting strategies to overcome this resistance.Additionally,we explore the relationship of tumor-associated neutrophils(TANs)and B regulatory cells(Bregs)with tumor drug resistance.It is hoped that this review will offer insights and serve as reference for reducing tumor drug resistance and improving the efficacy of anti-tumor therapies.

Objective There are 6 leads of limb lead ECG,and the cardiac electrical axis can be estimated by any combination of two leads.In this paper,the estimation accuracy of all 15 pairs of limb-lead combinations was compared.Methods Using the open database of 12-lead electrocardiograms(at a sampling frequency of 500 Hz with duration of 10 seconds during resting state)from PhysioNet,totally 21 306 ECG records were extracted with age≥18 years which labeled as single sinus type(axis normal),including 6 153 records with Sinus Rhythm,10 916 records with Sinus Bradycardia,3 466 records with Sinus Tachycardia,and 771 records with Sinus Irregularity.Moreover,totally 2 323 axis deflection recordings with age≥18 years were extracted,including 1 526 records with Axis left shift,and 797 records with Axis right shift.Cardiac electrical axis was estimated with the net amplitude(or area)of QRS complex(algebraic sum of positive and negative amplitude or area)by any pair of leads from{Ⅰ,Ⅱ},{Ⅰ,Ⅲ},{Ⅰ,aVR},{Ⅰ,aVL},{Ⅰ,aVF},{Ⅱ,Ⅲ},{Ⅱ,aVR},{Ⅱ,aVL},{Ⅱ,aVF},{Ⅲ,aVR},{Ⅲ,aVL},{Ⅲ,aVF},{aVR,aVL},{aVR,aVF},{aVL,aVF},respectively.Results For the amplitude-based method,the recognition accuracy for the normal,left and right axes from{Ⅰ,Ⅱ}and{Ⅱ,aVL}is 93.56%and 93.50%,respectively,which is better than that of the traditional classical method{I,aVF}(92.93%).For the area-based method,the recognition accuracy from{Ⅲ,aVR},{Ⅰ,aVR},{Ⅰ,Ⅱ},{aVR,aVF},{Ⅱ,aVL}and{Ⅱ Ⅲ}is 92.66%,92.53%,92.29%,92.19%,92.10%and 91.91%,respectively,which is better than the traditional classical method{Ⅰ,aVF}(91.82%).Conclusion The accuracy of amplitude-based method is higher than that of area-based method.Lead pair{Ⅰ,Ⅱ}and{Ⅱ,aVL}have higher accuracy than traditional classical{Ⅰ,aVF}in automatic estimation of cardiac electrical axis for both amplitude and area method.