Plant-derived exosome-like nanovesicles (PELNs), characterized by a natural lipid bilayer membrane, have rapidly emerged as a prominent research frontier in medicine owing to their unique biological properties and robust therapeutic potential. This review comprehensively examines the biological profiles, mechanistic functions, and recent engineering advancements of PELNs. In terms of composition, PELNs are uniquely enriched in plant-specific glycolipids, phosphatidylserine, secondary metabolites, and highly stable 2'-O-methylated miRNAs. This distinct molecular makeup endows them with exceptional biocompatibility, negligible immunogenicity, and the capacity for cross-species molecular communication. Mechanistically, PELNs demonstrate profound anti-inflammatory efficacy by suppressing the NF-κB and NLRP3 inflammasome pathways. They also serve as potent immune modulators, driving macrophage M1/M2 polarization and regulating T cell activity. Additionally, PELNs exhibit promising antitumor capabilities, targeting malignancies via reactive oxygen species (ROS) induction, TRAIL pathway activation, and tumor microenvironment remodeling. Crucially, the plant miRNAs encapsulated within PELNs remain highly stable in the gastrointestinal tract, allowing them to selectively alter gene expression in specific gut microbiota communities. This interaction deeply influences host immunity and metabolism, highlighting the vital role in cross-species regulation. Advancements in bioengineering have further expanded the clinical utility of PELNs. Targeted delivery efficiency can be significantly amplified via surface functionalization (e.g., folate and RGD sequences) and state-of-the-art drug loading technologies such as sonication and electroporation. Consequently, engineered PELNs surpass traditional synthetic nanocarriers in penetrating natural physiological barriers, particularly for oral and transdermal drug administration. Despite these advantages, clinical translation is currently hindered by the lack of standardized isolation protocols, challenges in scalable manufacturing, and the need for robust quality control frameworks. Looking forward, the integration of multi-omics approaches and AI-driven “molecular fingerprinting”—coupled with the design of synthetic biomimetic vesicles—will be instrumental in overcoming these bottlenecks, ultimately establishing PELNs as a next-generation platform for precision medicine and targeted nanotherapeutic delivery.

Hyperthermic intrathoracic chemotherapy (HITHOC) is a localized treatment that combines hyperthermia with medications such as chemotherapy, anti-angiogenic agents, targeted therapy, or immunotherapeutic agents. It has advanced clinical progress for conditions such as malignant pleural mesothelioma, pleural metastasis of lung cancer, and pleural dissemination of thymic tumors. Systematic analyses indicate that as an adjuvant therapy to cytoreductive surgery, HITHOC improves patient survival and effectively controls pleural effusion and pleural metastasis. It exerts antitumor effects by enhancing drug penetration through thermal effects, inducing apoptosis, and modulating the immune microenvironment. HITHOC combined with systemic therapies (e.g., chemotherapy, targeted therapy, and immunotherapy) demonstrates synergistic potential, but its role as a local treatment should be clearly defined as adjunctive within the comprehensive management of advanced-stage patients. Further research is needed to clarify its indications, standardized protocols, and long-term efficacy and to explore optimized regimens and personalized combination treatment strategies. This review delves into the key bottlenecks hindering the development of hyperthermia therapy, such as the lack of high-level evidence-based medicine and the absence of standardized diagnostic and efficacy evaluation criteria, and proposes potential solutions.

Objective To explore the value of a clinical diagnostic model of heart failure(HF)based on disulfidptosis-related genes.Methods The differentially expressed disulfidetosis-related genes from the training set of Gene Expression Omnibus Series(GSE)57345 were obtained,and then analyzed with Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)en-richment analysis,and Metascape disease enrichment analysis.Six male C57BL/6J mice were ran-domly divided into control group(intraperitoneal injection of normal saline)and HF group(intra-peritoneal injection of isoproterenol),with 3 mice in each group.Real-time quantitative PCR was applied to detect the expression levels of key genes.Results GO enrichment analysis revealed that the differentially expressed disulfidetosis-related genes were mainly involved in platelet aggrega-tion and other aspects.KEGG showed they were significantly enriched in tight junctions,vascular smooth muscle contraction and other signaling pathways.Metascape enrichment analysis indicated that these genes were mainly related to focal glomerulosclerosis,glomerular disease,platelet dis-ease,tumor infiltration,nephrotic syndrome and other diseases.The HF group had significantly higher heart weight-to-body weight ratio,and lower ejection fraction,fractional shortening,cardiac output and stroke volume than the control group(P＜0.05,P＜0.01).The cardiac mRNA levels of BNP and MYH10 were significantly higher[1.026±0.501 vs 0.686±0.187,P=0.038;1.469(1.782,2.670)vs 0.360(0.786,1.117),P=0.000],while those of MYL6 and TLN1 was obviously lower(0.575±0.105 vs 1.000±0.202,P=0.027;0.429±0.114 vs 1.000±0.109,P=0.000)in the HF group than the control group.Conclusion Our constructed HF diagnostic model has better di-agnostic performance.

Purpose To investigate the expression of LAMB3 and ITGB4 in esophageal squamous cell carcinoma(ESCC)and analyze their associations with clinicopathological features.Methods Bioinformatics was used to assess the expression of LAMB3 and ITGB4 in pan-cancer and ESCC.Immunohistochemistry was performed to evaluate their expression and distribution in ESCC tissues,and correlations clinicopathological features were analyzed.Follow-up data were collected to construct Kaplan-Meier survival curves,and Cox regression analysis was proformed to determine their prognostic significance.Results Bioinformatics analysis showed that LAMB3 and ITGB4 were highly expressed in ES-CC tissues(P＜0.001).Immunohistochemistry confirmed that both proteins were localized in the cytoplasm and membrane of tumor cells.High LAMB3 expression was significantly associated with poor differentiation(P＜0.001),lymph node metastasis(P=0.015),and T staging(P＜0.001).High ITGB4 expression was significantly correlated with poor differentiation(P=0.004)and advanced T staging(P=0.004).Cox regression analysis identified high ex-pression of LAMB3 and ITGB4 as independent prognostic factors for overall survival[HR=4.97(95％CI:2.73-9.02);HR=2.33(95％CI:1.36-3.99)].Conclusion LAMB3 and ITGB4 are highly expressed in ESCC.High LAMB3 expression is associated with tumor differentiation,lymph node metastasis,and T staging,while high ITGB4 expression is correlated with tumor differentiation and T staging.Patients with high expression of LAMB3 or ITGB4 have poorer overall survival,suggesting that these proteins may serve as prognostic biomarkers for unfavorable outcome in ESCC.

Objective:To construct a Logistic regression model based on the energy spectral computed tomography(CT)parameters and clinical parameters characteristics,and to evaluate its diagnostic efficacy in the benign and malignant pulmonary ground glass nodules(GGN).Methods:162 GGN patients who were admitted to our hospital from April 2022 to March 2024 were selected,they were divided into benign group and malignant group according to pathological results.The difference of CT parameters[water content in normal scan period,water content in arterial period,slope of energy spectral curve in normal scan period and k value in arterial period]and clinical data between the two groups was compared.Multivariate Logistic regression model was used to analyze the independent influencing factors of malignant GGN.Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of the model for malignant GGN.Results:Water content in normal scan period in malignant group was significantly higher than that in benign group(P＜0.05).k value in normal scan period in the malignant group was significantly higher than that in the benign group(P＜0.05).Water content in arterial period in malignant group was higher than that in benign group(P＜0.05).k value in arterial period in the malignant group was higher than in benign group(P＜0.05).There were significant differences in smoking history,family history of tumor and chronic obstructive pulmonary disease(COPD)between benign group and malignant group(P＜0.05).Multivariate Logistic regression model analysis showed that,water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor were independent influencing factors of malignant nodule in GGN patients(P＜0.05).Based on the results of multi-factor Logistic regression analysis,the Logistic regression prediction model was constructed:logit(P)=ln(P/l-P)=0.015× water content in arterial period+1.214× smoking history+1.506× family history of tumor+0.013× water content in normal scan period 0.553× k value in normal scan period+0.202 × k value in arterial period.ROC curve results showed that the area under the curve(AUC)of the combined prediction model was 0.852,which was significantly higher than 0.654,0.607,0.628,0.759,0.707,0.682 of water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor.Conclusion:The Logistic regression model constructed based on the characteristics of energy spectral CT parameters and clinical parameters characteristics has good diagnostic efficacy for benign and malignant GGN.

Objective To explore the value of a clinical diagnostic model of heart failure(HF)based on disulfidptosis-related genes.Methods The differentially expressed disulfidetosis-related genes from the training set of Gene Expression Omnibus Series(GSE)57345 were obtained,and then analyzed with Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)en-richment analysis,and Metascape disease enrichment analysis.Six male C57BL/6J mice were ran-domly divided into control group(intraperitoneal injection of normal saline)and HF group(intra-peritoneal injection of isoproterenol),with 3 mice in each group.Real-time quantitative PCR was applied to detect the expression levels of key genes.Results GO enrichment analysis revealed that the differentially expressed disulfidetosis-related genes were mainly involved in platelet aggrega-tion and other aspects.KEGG showed they were significantly enriched in tight junctions,vascular smooth muscle contraction and other signaling pathways.Metascape enrichment analysis indicated that these genes were mainly related to focal glomerulosclerosis,glomerular disease,platelet dis-ease,tumor infiltration,nephrotic syndrome and other diseases.The HF group had significantly higher heart weight-to-body weight ratio,and lower ejection fraction,fractional shortening,cardiac output and stroke volume than the control group(P＜0.05,P＜0.01).The cardiac mRNA levels of BNP and MYH10 were significantly higher[1.026±0.501 vs 0.686±0.187,P=0.038;1.469(1.782,2.670)vs 0.360(0.786,1.117),P=0.000],while those of MYL6 and TLN1 was obviously lower(0.575±0.105 vs 1.000±0.202,P=0.027;0.429±0.114 vs 1.000±0.109,P=0.000)in the HF group than the control group.Conclusion Our constructed HF diagnostic model has better di-agnostic performance.

Objective:To construct a Logistic regression model based on the energy spectral computed tomography(CT)parameters and clinical parameters characteristics,and to evaluate its diagnostic efficacy in the benign and malignant pulmonary ground glass nodules(GGN).Methods:162 GGN patients who were admitted to our hospital from April 2022 to March 2024 were selected,they were divided into benign group and malignant group according to pathological results.The difference of CT parameters[water content in normal scan period,water content in arterial period,slope of energy spectral curve in normal scan period and k value in arterial period]and clinical data between the two groups was compared.Multivariate Logistic regression model was used to analyze the independent influencing factors of malignant GGN.Receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficacy of the model for malignant GGN.Results:Water content in normal scan period in malignant group was significantly higher than that in benign group(P＜0.05).k value in normal scan period in the malignant group was significantly higher than that in the benign group(P＜0.05).Water content in arterial period in malignant group was higher than that in benign group(P＜0.05).k value in arterial period in the malignant group was higher than in benign group(P＜0.05).There were significant differences in smoking history,family history of tumor and chronic obstructive pulmonary disease(COPD)between benign group and malignant group(P＜0.05).Multivariate Logistic regression model analysis showed that,water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor were independent influencing factors of malignant nodule in GGN patients(P＜0.05).Based on the results of multi-factor Logistic regression analysis,the Logistic regression prediction model was constructed:logit(P)=ln(P/l-P)=0.015× water content in arterial period+1.214× smoking history+1.506× family history of tumor+0.013× water content in normal scan period 0.553× k value in normal scan period+0.202 × k value in arterial period.ROC curve results showed that the area under the curve(AUC)of the combined prediction model was 0.852,which was significantly higher than 0.654,0.607,0.628,0.759,0.707,0.682 of water content in normal scan period,k value in normal scan period,k value in arterial period,water content in arterial period,smoking history and family history of tumor.Conclusion:The Logistic regression model constructed based on the characteristics of energy spectral CT parameters and clinical parameters characteristics has good diagnostic efficacy for benign and malignant GGN.

Objective:To establish a scientific,systematic,and objective indicator system for the characteristic price variables of Traditional Chinese Patent Medicines(TCPM),providing a reference framework for the pricing mechanism of TCPM.Methods:The brainstorming method was initially used to screen related variable indicators.The Nominal Group Technique(NGT)and Delphi methods were applied to gather expert opinions,and SPSS 28.0 was employed for data statistical analysis.It led to the development of a TCPM characteristic price variable indicator system consisting of 6 dimensions,14 characteristic variables and 26 measurement indicators.Results:The authority coefficient of the experts exceeded 0.7,indicating the representativeness of the results.Expert opinions were generally concentrated.Based on the collected opinions and statistical analysis,the scope of selected TCPM characteristic price variables was preliminarily established.Conclusion:The TCPM characteristic price variable indicator system was initially developed.However,due to the complexity of the pricing mechanism and divergent expert opinions,further qualitative and quantitative research methods,along with a dynamic adjustment mechanism,are needed to verify and refine the system.

Objective:To optimize the previously established Improved Membrane Filtration(ISET)method for de-tecting circulating tumor cells(CTCs)and to develop and validate a new,reliable CTC detection method by combining it with immunofluorescence techniques.Methods:The study involved optimizing the CTC detection system using mixed samples of gastric cancer 803 cell lines and peripheral blood(PB)from healthy volunteers to simulate the peripheral blood of cancer patients.The optimized system was validated using peripheral blood samples from 23 patients with ad-vanced(Ⅲ/Ⅳ)cancer,employing the ISET technique combined with immunocytochemistry(ICC)and paraffin block im-munohistochemistry(IHC)identification techniques.A cohort of 74 patients with various cancer types was used to com-pare the diagnostic performance of the membrane filtration combined with immunofluorescence(ISET-ICC)system against the CTC-Biopsy and CellSearchTM methods.Results:By adding a red blood cell lysis step and increasing the membrane pore size to 10 μm,the filtration time of the ISET method was reduced by threefold.The ISET-ICC detection method achieved a CTC positivity rate of 65.2％.The combination of the ISET-ICC system with the cell paraffin block-IHC method enhanced the reliability of identifying circulating tumor cells undergoing epithelial-mesenchymal transition(EMT-CTCs).The ISET-ICC technique demonstrated a significantly higher CTC positivity rate(17.6％;13/74)within the study cohort compared to the CellSearchTM method,which showed a CTC positivity rate of 12.2％(9/74;x2=10.21,P=0.007).The difference in positive detection rates among patients at different stages was statistically significant(x2=3.64,P=0.029),with a notably higher CTC detection rate in stage Ⅳ patients compared to those in stages Ⅰ-Ⅲ(x2=6.76,P=0.001).Conclusion:The improved ISET-ICC system effectively detects CTCs across various cancer types and dem-onstrates greater accuracy compared to the CellSearchTM system.

Objective:To investigate the protective effect of achyranthes bidentata(AB)on sperm quality in mice with sper-matogenic disorder through the glycolytic metabolic pathway and its action mechanism.Methods:We equally randomized 40 Kun-ming mice into a normal control,a model control,a low-dose AB(3.5 g/kg)and a high-dose AB group(7.0 g/kg),and established the model of spermatogenic disorder in the latter three groups of mice by intraperitoneal injection of doxorubicin(30 mg/kg).Two days after modeling,we collected the testis and kidney tissues and blood samples from the mice for observation of the pathological changes in the testis tissue by HE staining,detection of perm motility with the sperm quality analyzer,examination of the apoptosis of testis cells by flow cytometry,measurement of the levels of testosterone(T),malondialdehyde(MDA),superoxide dismutase(SOD)and cata-lase(CAT)in the serum and testis tissue by ELISA,and determination of expressions of the key enzymes of glycolysis hexokinase Ⅱ(HK2),pyruvate kinase M2(PKM2),platelet phosphofructokinase(PFKP),lactate dehydrogenase A(LDHA)and the meiosis pro-teins REC8 and SCP3 by Western blot,and the mRNA expressions of glycolytic phosphofructokinase 1(PFK1),phosphoglycerate ki-nase 1(PGK1),tumor necrosis factor-α(TNF-α)and interleukin-1 β(IL-1β)by fluorescence quantitative PCR(FQ-PCR).Results:Compared with the model controls,the mice in the AB groups showed significant increases in the testis coefficient,kidney in-dex,sperm concentration,sperm motility,spermatogonia,primary spermatocytes,spermatids,sperm count and the serum T level(P＜0.05 orP＜0.01),but dramatic decreases in the apoptosis of testis cells and percentage of morphologically abnormal sperm(P＜0.01).Achyranthes bidentata also significantly elevated the levels of SOD and CAT,and down-regulated the mRNA expressions of MDA,TNF-α and IL-1β(P＜0.05 or P＜0.01),and up-regulated the protein expressions of HK2,PKM2,PFKP,LDHA,REC8 and SCP3,and expressions of the glycolysis key genes Pfk1 and Pgk1(P＜0.05 orP＜0.01).Conclusion:Achyranthes bidentata ameliorates doxorubicin-induced spermatogenic disorder in mice by regulating the glycolytic pathway and reducing oxidative stress and the expressions of inflammatory factors.