Plant-derived extracellular vesicles (PDEVs) are nanoscale extracellular vesicles secreted by plant cells, characterized by a lipid bilayer structure. These vesicles carry a variety of bioactive molecules, including proteins, nucleic acids, and lipids, and play essential roles in intercellular communication and physiological regulation in plants. Compared to animal-derived extracellular vesicles, PDEVs offer several advantages, such as a broad range of sources, high biocompatibility, low immunogenicity, and low production costs. Furthermore, PDEVs have demonstrated remarkable potential as natural nanocarriers for drug delivery, due to their ability to efficiently traverse biological barriers, such as the blood-brain barrier, making them promising candidates for drug delivery systems. This review systematically elaborates on the complex composition of PDEVs, which consists of lipids, proteins, and nucleic acids, the typical structural characteristics of their lipid bilayers ranging from 30 to 150 nm, and their versatile loading capabilities as drug carriers, efficiently encapsulating various types of therapeutic agents such as hydrophilic small molecules, hydrophobic drugs, nucleic acids, and proteins. We systematically summarize the recent advancements in strategies for enhancing the loading efficiency of PDEVs, which include methods such as co-incubation, ultrasound-assisted loading, electroporation, freeze-thaw cycles, and microfluidic technology. These techniques are evaluated based on their underlying principles, suitable drug types, and their respective advantages. In addition to loading strategies, we focus on the engineered approaches to achieve targeted delivery using PDEVs, such as genetic engineering modifications, chemical ligand conjugation, membrane fusion technology, and polyethylene glycol (PEG) modification. We discuss the mechanisms of these strategies in enhancing targeting efficiency, prolonging in vivo circulation time, and improving therapeutic efficacy. Further, this review highlights the application of PDEVs in various disease models, including tumor, skin inflammation, metabolic disorders, and neurodegenerative diseases, showcasing their therapeutic potential as multifunctional delivery platforms. The ability of PDEVs to encapsulate diverse therapeutic agents and target specific tissues or cells opens up new avenues for the treatment of complex diseases, offering advantages over conventional drug delivery systems. However, despite the promising applications of PDEVs, several challenges remain in their development and clinical translation. These challenges include variability in source materials, standardization of preparation processes, quality control, scalability of production, and the need for clinical validation. To overcome these obstacles, the integration of advanced technologies such as artificial intelligence-assisted design and multi-omics analysis is proposed as a way to facilitate the precise development of PDEVs. These emerging technologies hold the potential to further enhance the precision and effectiveness of plant-based drug delivery systems, ultimately advancing the field of precision medicine. In conclusion, the use of PDEVs as a platform for drug delivery represents a promising area of research with the potential to revolutionize therapeutic strategies. Their ability to encapsulate and deliver a wide variety of bioactive molecules, along with their inherent advantages in biocompatibility and versatility, makes them a valuable tool in the development of more efficient and targeted therapeutic interventions. Continued research and innovation in this field will pave the way for the clinical implementation of PDEVs in the treatment of various diseases, offering new hope for more effective and sustainable therapeutic options.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To evaluate the pharmacokinetics(PK)and pharmacodynamics(PD)of propofol injectable emulsion,and to assess the bioequivalence of test and reference formulations in healthy Chinese adult volunteers.Methods Thirty-two healthy Chinese adult volunteers were recruited and randomly assigned to a fasting.single-dose,two-period and double-crossover study.Propofol was given to eligible subjects at a speed of 30 μg·kg-1·min-1 for 30 min.The concentration of propofol in plasma was determined by avalidated high performance liquid chromatography-tandem mass spectrometery(HPLC-MS/MS)method.The PK parameters of the two preparations were calculated.Bispectral index(BIS)was measured to calculate the PD parameters of two formulations.Adverse events during the trial were recorded.Results Thirty-one volunteers were included in the pharmacokinetic parameter set.The mean values of PK parameters of test andreference formulations were as follows:Cmax were(660.87±110.25)and(683.13±125.75)ng·mL-1;AUC0-t were(473.50±86.03)and(478.40±80.25)h·ng·mL-1;AUC0-∞ were(500.45±96.49)and(507.84±88.00)h·ng·mL-1;tmax were 0.47(0.25,0.53)and 0.50(0.40,0.54)h;t1/2 were(2.97±1.74)and(3.08±1.82)h.Thirty-one volunteers were included in the bioequivalence set.The 90％confidence intervals(CI)for the geometric mean ratios of Cmax,AUC0-t,AUC0-∞ were 92.64％-101.39％,96.43％-101.00％,95.67％-100.70％,respectively.The mean values of PD parameters of test and reference formulations were as follows:BISmin were(75.94±13.66)and(74.39±12.32);BISAUC0-60minwere 5 569.85±182.78 and 5 575.68±166.19;T-BISmin were 23.00 and 29.00 min,respectively.There were no serious adverse events.Conclusion Two formulations of propofol injectable emulsion were bioequivalent and both of them exhibited good safety.

Objective To analyze the characteristics of facial and tongue chromaticity parameters in patients with gastrointestinal tumors by setting the inspection image characteristics of patients with gastrointestinal tumors as the main research content;To establish an auxiliary diagnostic model for gastrointestinal tumors.Methods One-way ANOVA,t-test,Mann-whitney U test,canonical correlation analysis and Spearman statistical methods were used to analyze the characteristics of inspection image indexes and correlation of tumor markers of the 391 cases in the control group and 359 patients with gastrointestinal tumors.Machine learning methods such as SVM,Random Forest,KNN,Naive Bayes,XG Boost and Ada Boost were used to establish an auxiliary diagnostic model for gastrointestinal tumors.Results In terms of facial indicators,there were differences in F-R,F-G and F-B indicators among the control group,early-stage gastrointestinal cancer patients,and mid-to late-stage gastrointestinal cancer patients,in the comparison of tongue features among,TC-L,TB-L and TB-a of the control group,patients with early gastrointestinal tumors,and patients with intermediate and advanced gastrointestinal tumors showed a gradual downward trend;the AUC of the auxiliary diagnosis model of gastrointestinal tumor disease based on the chromaticity parameters of face tongue image constructed by Ada Boost algorithm was 0.930.Conclusion The auxiliary diagnostic model of gastrointestinal diseases constructed by facial and tongue images has good diagnostic effect,which can provide objective data support for in-depth exploration of the complex relationship between diagnosis and disease.

Objective To evaluate the pharmacokinetics(PK)and pharmacodynamics(PD)of propofol injectable emulsion,and to assess the bioequivalence of test and reference formulations in healthy Chinese adult volunteers.Methods Thirty-two healthy Chinese adult volunteers were recruited and randomly assigned to a fasting.single-dose,two-period and double-crossover study.Propofol was given to eligible subjects at a speed of 30 μg·kg-1·min-1 for 30 min.The concentration of propofol in plasma was determined by avalidated high performance liquid chromatography-tandem mass spectrometery(HPLC-MS/MS)method.The PK parameters of the two preparations were calculated.Bispectral index(BIS)was measured to calculate the PD parameters of two formulations.Adverse events during the trial were recorded.Results Thirty-one volunteers were included in the pharmacokinetic parameter set.The mean values of PK parameters of test andreference formulations were as follows:Cmax were(660.87±110.25)and(683.13±125.75)ng·mL-1;AUC0-t were(473.50±86.03)and(478.40±80.25)h·ng·mL-1;AUC0-∞ were(500.45±96.49)and(507.84±88.00)h·ng·mL-1;tmax were 0.47(0.25,0.53)and 0.50(0.40,0.54)h;t1/2 were(2.97±1.74)and(3.08±1.82)h.Thirty-one volunteers were included in the bioequivalence set.The 90％confidence intervals(CI)for the geometric mean ratios of Cmax,AUC0-t,AUC0-∞ were 92.64％-101.39％,96.43％-101.00％,95.67％-100.70％,respectively.The mean values of PD parameters of test and reference formulations were as follows:BISmin were(75.94±13.66)and(74.39±12.32);BISAUC0-60minwere 5 569.85±182.78 and 5 575.68±166.19;T-BISmin were 23.00 and 29.00 min,respectively.There were no serious adverse events.Conclusion Two formulations of propofol injectable emulsion were bioequivalent and both of them exhibited good safety.

Objective:To evaluate the applicability of a new anti-G capability assessment trainer (AG-CAT) in high-performance (HP) anti-G maneuver training and positive pressure breathing for high-G (PHP) training for pilots.Methods:A total of 142 fighter pilots who were subjected to anti-G maneuver training at Dujiangyan Special Crew Sanatorium of PLA Air Force between January and November 2023 were enrolled. According to the Guidelines for Aviation Physiological Training, 123 pilots underwent both HP anti-G maneuver training and PHP positive pressure breathing training, 15 received only HP training, and 4 received only PHP training. Based on the training devices used, these pilots were divided into AG-CAT group and an anti-G and anti-hypoxia capability detection instrument (GHyCDI) group. The 2 groups were compared regarding the pedal force of lower limbs, blood pressure, and improvement of +G z tolerance during training. Results:Of the 138 pilots undergoing HP training, 88 used AG-CAT and 50 used GHyCDI. One hundred and twenty-seven pilots participated in PHP training, with 73 in the AG-CAT group and 54 in the GHyCDI group. During HP training, the pedal force of left lower limbs in the AG-CAT group was greater than that of the right limbs and of the GHyCDI group ( t=4.38, 2.64, P<0.001, =0.009). In PHP training, the AG-CAT group exhibited greater pedal force in left limbs than in right ones, while the GHyCDI group showed an opposite trend ( t=2.25, 3.37, P=0.029, 0.002). Systolic and diastolic blood pressures during HP training (with or without anti-G suits) were higher in the AG-CAT group than in the GHyCDI group ( t=3.50, 3.72, 2.55, 4.21, P=0.001,<0.001,=0.012,<0.001). Similarly, during PHP training, both systolic and diastolic pressures were higher in the AG-CAT group ( t=2.03, 3.81, P=0.045,<0.001). The AG-CAT group demonstrated superior improvements in +G z tolerance during HP training (without/with anti-G suits: Z=2.14, 3.21, P=0.049, 0.001) and PHP training ( Z=2.56, P=0.010) compared with the GHyCDI group. Conclusions:AG-CAT shows excellent applicability in aviation physiological training of pilots. Its ergonomic design, practical functionalities and enhanced compatibility with personnel protective equipment can better meet training requirements compared to conventional devices.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To investigate the effective components and therapeutic mechanism of Chaihu-Guizhi-Ganjiang decoction in treating chronic non-atrophic gastritis. Methods The primary and secondary ion fragments of chemical components of Chaihu-Guizhi-Ganjiang decoction were obtained by UHPLC-Q-TOF/MS. Comparing with reference standards and literature information, a comprehensive characterization of the chemical constituents of Chaihu-Guizhi-Ganjiang decoction was conducted. Then, the network pharmacology approach was applied to explore the therapeutic mechanism of Chaihu-Guizhi-Ganjiang decoction in treatment of chronic non-atrophic gastritis based on the components in plasma and verified by immunohistochemical results. Results A total of 24 absorbed components of Chaihu-Guizhi-Ganjiang decoction were characterized, including 11 flavonoid glycosides, 3 fatty acids, 3organic acids, 2 gingerols, 2 flavonoids and, 1 each of fatty aldehydes, triterpenoids and amino acids, which mainly acted on TNF-α, IL-6, STAT3, and PTGS2. It exerted therapeutic effects by modulating signaling pathways, including the IL-17 signaling pathway and the AGE-RAGE signaling pathway, etc. Conclusion This study provided the first exploration of the effective components and therapeutic mechanism of Chaihu-Guizhi-Ganjiang decoction in treatment of chronic non-atrophic gastritis by UHPLC-Q-TOF/MS, which could offer scientific references for its further research.