Exosomes are small vesicles commonly found in bodily fluids such as blood, urine, ascites, and breast milk. As essential mediators of intercellular communication, exosomes play pivotal roles in physiological and pathological processes including material transport, signal transduction, homeostasis regulation, immune response, and angiogenesis. They are promising biomarkers for disease diagnosis and key carriers for therapeutic drug delivery. Longitudinal tracking of exosome biodistribution, elucidating their migratory routes and homing effects, determining optimal delivery routes and therapeutic dosages, and evaluating implantation in target tissues are crucial for better understanding their mechanisms of action and guiding clinical applications. Magnetic resonance imaging (MRI), as a non-invasive and repeatable imaging technique, offers an ideal approach for exosome tracking. By labeling exosomes with specific contrast agents or tracers and detecting them via MRI, researchers can trace exosomes in vivo. This facilitates advancements in exosome-based nanomedicine and accelerates the clinical translation of exosome diagnostics and therapeutics.
Exosomes/metabolism* ; Humans ; Magnetic Resonance Imaging/methods* ; Contrast Media ; Animals ; Tissue Distribution

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 summarize and evaluate the characteristics of current recurrent spontaneous abortion(RSA)animal models at home and abroad,and to provide reference and guidance for the standardized preparation of RSA models.Methods"Recurrent spontaneous abortion"and"animal model"were used as co-keywords in CNKI,Wanfang,VIP,PubMed and Web of Science databases to search the RSA animal experimental literature,covering the period up to January 20,2024,and a total of 1 411 articles were collected.The analysis focused on construction methods and essential elements of RSA animal models,the modeling process and result evaluation,as well as the application of these models in pharmacological and pharmacodynamic research.An Excel table was established for systematic analysis and discussion.Results A total of 138 experimental studies were obtained after screening.In constructing RSA animal models,immunological models were the most widely used in Western medicine(96.92％),with the Clark model being the main one(92.31％).In traditional Chinese medicine(TCM)models,70.00％were kidney deficiency-luteal inhibition-syndrome combination models,20.00％were kidney deficiency and blood stasis models,and 10.00％were deficiency-heat syndrome models.Most animals were selected at 6-8 weeks(33.86％)and 8 weeks(32.28％)of age.The majority of animals were paired for mating at 18:00 on the day of cage pairing.In 81.03％of literatures,vaginal plugs were checked once the following morning,with 8:00 being the most common time(17.02％).The most commonly used drug administration cycle was 14 days of continuous gavage after pregnancy.Among the tested drugs,Western drugs were mainly protein-based(29.17％),while TCM drugs were mainly TCM decoction(81.11％).The most frequently used methods for detecting indicators included visual observation of embryos(22.54％),western blot(15.96％),PCR(13.58％),ELISA(12.91％),HE staining(10.80％)and immunohistochemistry(9.39％).Conclusion The etiology of RSA is complex,and corresponding animal models should be established based on different etiologies.Clark model is commonly used in the construction of Western medicine model,while the kidney deficiency-luteal inhibition-syndrome combination model is predominant in TCM.RSA animal model is widely used in related research,but systematic evaluation needs to be strengthened.

Background::Whether the dynamic weight change is an independent risk factor for mortality remains controversial. This study aimed to examine the association between weight change and risk of all-cause and cause-specific mortality based on the Linxian Nutrition Intervention Trial (NIT) cohort.Methods::Body weight of 21,028 healthy residents of Linxian, Henan province, aged 40-69 years was measured two times from 1986 to 1991. Outcome events were prospectively collected up to 2016. Weight maintenance group (weight change <2 kg) or stable normal weight group was treated as the reference. Cox proportional hazard model was performed to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs) to estimate the risk of mortality.Results::A total of 21,028 subjects were included in the final analysis. Compared with the weight maintenance group, subjects with weight loss ≥2 kg had an increased risk of death from all-cause (HR All-cause = 1.14, 95% CI: 1.09-1.19, P <0.001), cancer (HR Cancer = 1.12, 95% CI: 1.03-1.21, P = 0.009), and heart disease (HR Heart diseases = 1.21, 95% CI: 1.11-1.31, P <0.001), whereas subjects with weight gain ≥5 kg had 11% (HR Cancer = 0.89, 95% CI: 0.79-0.99, P = 0.033) lower risk of cancer mortality and 23% higher risk of stroke mortality (HR Stroke = 1.23,95% CI: 1.12-1.34, P <0.001). For the change of weight status, both going from overweight to normal weight and becoming underweight within 5 years could increase the risk of total death (HR Overweight to normal = 1.18, 95% CI: 1.09-1.27; HR Becoming underweight = 1.35, 95% CI: 1.25-1.46) and cancer death (HR Overweight to normal = 1.20, 95% CI: 1.04-1.39; HR Becoming underweight = 1.44, 95% CI: 1.24-1.67), while stable overweight could increase the risk of total death (HR Stable overweight = 1.11, 95% CI: 1.05-1.17) and death from stroke (HR Stable overweight = 1.44, 95% CI: 1.33-1.56). Interaction effects were observed between age and weight change on cancer mortality, as well as between baseline BMI and weight change on all-cause, heart disease, and stroke mortality (all Pinteraction <0.01). Conclusions::Weight loss was associated with an increased risk of all-cause, cancer, and heart disease mortality, whereas excessive weight gain and stable overweight were associated with a higher risk of stroke mortality. Efforts of weight management should be taken to improve health status.Trial registration::https://classic.clinicaltrials.gov/, NCT00342654.

The update of multi-omics technology is a key means to promote the rapid development of accurate health model in the whole life cycle.It can formulate dynamic and accurate nursing measures and provide massive data information from the perspective of nursing biology of health and disease.At present,clinical nursing research faces many challenges such as insufficient application and transformation ability of multi-omics technology.This paper introduces the multi-omics technology,reviews the application status of multi-omics technology in cancer nursing,maternal and child nursing,chronic metabolic disease nursing and symptom management,and puts forward the cross integration and prospect of multi-omics technology and nursing research,so as to strengthen the information mining ability of nurses at different levels of health and disease,and provide an important basis for accelerating the clinical transformation of precision nursing.

Objective:To explore the teaching evaluation of online open course of hematology based on small private online course (SPOC) platform by means of quantitative method.Methods:The fourth-year undergraduates of clinical medicine major were selected to receive online course learning of hematology, including video viewing, rich text browsing, in-class quizzes, and seminars. The teaching contents covered the basis of hematological diseases, anemic diseases, hematological tumors, bleeding and coagulation disorders. Teaching evaluation was conducted through teaching behavior assessment, unit test, course examination and SPOC scoring. Linear regression analysis was used to analyze the correlation between the duration of the teaching video and student learning behavior. The correlation between video learning quantity and viewing time and course test scores and SPOC scores was analyzed. Kruskal-Wallis test was used to compare the differences in curriculum learning behavior (participation rate). T-test was used to compare the differences between the two results of two unit tests and to calculate the alternative-form reliability. Chi-square test was used to compare the differences in scores of different sub-specialty questions in hematology, and the differences of participation rate of different examination points of hematological tumors. Results:The teaching video viewing rate was significantly higher than the participation rate of rich text browsing and in-class quizzes ( P < 0.001; P < 0.001). There was no obvious correlation between video duration and video viewing, rich text browsing, in-class quizzes ( R = 0.168, F = 0.81, P = 0.376; R = 0.057, F = 0.07, P=0.802; R=0.124, F=0.37, P=0.546). There was a significant positive correlation between the participation rate of video viewing and rich text browsing and in-class quizzes ( R =0.890, F=76.41, P<0.001; R=0.934, F=163.67, P < 0.001). The participation rate of anemic disease unit test was significantly higher than that of hematological tumors ( χ2 = 49.08, P<0.001), bleeding and coagulation disorders ( χ2= 25.97, P< 0.001), and the second results were significantly improved ( t=-2.09, P=0.040), and the alternative-form reliability was 0.750. There was no significant difference in the participation rate of different sub-specialty courses ( χ2=5.20, P=0.074); the number of video watching was significantly positively correlated with SPOC scores ( R=0.523, F=196.22, P<0.001); the participation rate of molecular genetics and molecular biology tests of blood tumor was significantly lower than that of general clinical information questions ( P < 0.05). Conclusion:Teaching videos are the foundation of online courses. Increasing the number of video viewing and improving video viewing rate can effectively mobilize the enthusiasm of extensive learning, such as rich text browsing and in-class quizzes, and improve learning participation. It is conducive to the improvement of students' academic performance. Simple behavior factors such as video viewing time are not recommended as performance evaluation indicators. Unit test takes two times to get the highest score, which is conducive to improving professional learning level through learning behavior, without affecting the reliability of the performance evaluation. The online open course based on the SPOC platform is conducive to the balanced development of the course teaching of Hematology.

ObjectiveTo observe the effect of aqueous extract of Sophorae Tonkinensis Radix et Rhizoma （STRR） on rheumatoid arthritis （RA） and to explore the anti-bone destruction mechanism based on phosphatidylinositol 3-kinase （PI3K）/serine/threonine-protein kinase （Akt） pathway. MethodHigh-performance liquid chromatography （HPLC） was used to determine the content of main active components in aqueous extract of STRR， and type Ⅱ collagen to induce RA （CIA） in mice. The blank group， model group， methotrexate （MTX） group （0.5 mg·kg^-1）， and low-dose （100 mg·kg^-1） and high-dose （200 mg·kg^-1） STRR aqueous extract groups were designed. Joint swelling was observed and clinical scores of CIA mice were calculated. Pathological changes of mouse joints were observed based on hematoxylin and eosin （HE） staining， and Micro-CT was performed to monitor joint destruction. TRAP staining was used to observe osteoclast formation in mouse joint， and Western blot to detect the expression of key proteins in PI3K/Akt signaling pathway in mouse joint tissue. ResultThe model group demonstrated higher degree of joint swelling， clinical scores of CIA， and degrees of synovial hyperplasia， inflammatory cell infiltration （P<0.01）， and joint destruction， more osteoclasts， and higher levels of matrix metallopeptidase-9 （MMP-9）， cathepsin K （CTSK）， nuclear factor of activated T-cells cytoplasmic 1 （NFATc1）， PI3K， and phosphorylated-Akt （p-Akt） proteins than the blank group （P<0.01）. Compared with the model group， the low-dose and high-dose aqueous extract of STRR alleviated joint swelling， reduced the clinical scores of CIA mice （P<0.05， P<0.01）， relieved the pathological changes of joint tissue （P<0.01） and joint destruction， decreased osteoclasts （P<0.05， P<0.01）， and lowered the levels of PI3K/Akt signaling pathway-related proteins in joint tissue of mice （P<0.01）. ConclusionThe aqueous extract of STRR can significantly delay the inflammatory response of RA and especially inhibit bone destruction by down-regulating the PI3K/Akt signaling pathway.

Objective:To investigate the relationship between systemic immune-inflammation index (SII) and the prognosis of esophageal cancer patients treated with radical radiotherapy and to predict the prognosis of the patients using the SII combined with clinical staging.Methods:A retrospective analysis was conducted for 248 patients with esophageal cancer who were admitted to the Department of Radiotherapy in the Fourth Hospital of Hebei Medical University between 2014 and 2016. These patients included 146 males and 102 females, with a median age of 67 years. Among them, 134 patients received concurrent chemotherapy and 114 patients received radiotherapy alone. The SII before radiotherapy was defined as platelet count × neutrophil count/lymphocyte count. The patients were divided into a low-SII group and a high-SII group according to the optimal cutoff value of pretreatment SII determined by the receiver operating characteristics (ROC) curve. Survival analysis was calculated using the Kaplan-Meier method, and the Cox proportional hazards model was used for multivariate analysis. For these patients, the prognosis effects and the predictive value for survival of different SII levels combined with TNM staging were compared.Results:According to the ROC curves, the optimal cutoff value of SII before radiotherapy was 740.80. Based on this number, the patients were divided into a low-SII group (< 740.80, 150 cases) and a high-SII group (≥ 740.80, 98 cases). The objective response rate of the low-SII group was significantly higher than that of the high-SII group (86.0% vs 75.5%, χ2=4.39, P=0.036). The 1-, 3-, and 5-year overall survival (OS) rates of the low-SII group were 78.6%, 45.6%, and 32.3%, respectively. These rates were significantly higher than the corresponding rates of the high-SII group, which were 71.0%, 28.3%, and 16.4% ( χ2=11.22, P=0.001), respectively. Moreover, the 1-, 3- and 5-year progression-free survival (PFS) rates of the low-SII group were 67.0%, 36.9%, and 32.0%, respectively. Again, these rates were significantly higher than those of the high-SII group, which were 45.5%, 17.5%, and 12.5% ( χ2=15.38, P < 0.001), respectively. Multivariate analysis showed that TNM staging, treatment method, and SII were independent prognostic factors for OS and PFS ( HR=1.39-1.60, P<0.05). Patients with low SII and early clinical staging had a better prognosis than other subgroups ( χ2=13.68, 13.43, P=0.001). The area under curve (AUC) of SII combined with TNM staging (0.70) was higher than that of SII (0.63) and TNM staging (0.62) ( Z=2.48, 2.57, P < 0.05). Conclusions:Pretreatment SII has a high predictive value for the prognosis of esophageal cancer after radiotherapy, and higher SII indicates a worse prognosis. Thus, combining SII with TNM staging can improve the prediction accuracy of the prognosis of esophageal cancer patients.

Esophageal cancer (EC) is one of the most fatal cancers worldwide. According to GLOBOCAN 2020, it was estimated that there were 600, 000 new EC cases and 540 000 EC deaths, while nearly half of all newly diagnosed cases of EC and associated deaths worldwide occurred in China. The annual incidence and mortality of EC have been reduced in the last 20 years in China. However, the early symptoms and signs of EC are not easily distinguished and the disease tends to be within the middle and late stage of pathogenesis when identified, leading to its low 5-year survival rate. Therefore, it could help effectively reduce the burden of EC by clarifying its etiology and risk factors, as well as taking preventive and early diagnosis measures. This article reviews the epidemiology, etiology, screening and early diagnosis of EC in China, to provide systematic references for EC prevention and control.

Objective To investigate the activation of mammalian target of rapamycin (mTOR) signaling pathway in placental tissues of gestational diabetes mellitus (GDM) women and in JEG3 cells after high glucose treatment. Methods Placental tissues were collected from 60 singleton pregnant women at term, who underwent elective cesarean section in Peking University First Hospital from December 2016 to June 2017, including 30 GDM women (GDM group) and 30 normal glucose tolerance (NGT) women (NGT group). Expressions of mTOR, Rictor, Raptor, S6 kinase (S6K) and phosphorylated-S6K (p-S6K), which were mTOR signaling pathway-related molecules in those placental tissues were detected by real-time fluorescence quantitative polymerase chain reaction, Western blotting and immunohistochemistry. At the same time, JEG3 cells were treated with glucose of different concentrations (5.5, 10.0, 15.0, 25.0 and 50.0 mmol/L) for 24 h, and the expressions of mTOR, S6K and p-S6K were detected by Western blotting. Two independent samples t-test, one-way analysis of variance test and Spearman correlation analysis were used for statistical analysis. ResuLts Compared with the NGT group, the pre-pregnancy body mass index(BMI), neonatal birth weight, fasting blood glucose(FBG), and 1 h and 2 h post-load blood glucose in oral glucose tolerance test (OGTT) of the GDM group were significantly increased [pre-pregnant BMI: (21.6±2.7) vs (23.4±3.5) kg/m2, t= － 2.192; neonatal birth weight: (3 337.5±347.7) vs (3 618.3±580.9) g, t=－2.727; FBG: (4.6±0.4) vs (5.2±0.8) mmol/L, t=－3.947; 1 h glucose level: (7.4±1.2) vs (9.6±1.9) mmol/L, t=－5.332; 2 h glucose level: (6.3±1.0) vs (8.1±1.5) mmol/L, t=－5.314; all P<0.05]. The mRNA expressions of mTOR, Rictor and Raptor were significantly higher in the GDM group than in the NGT group (0.051±0.015 vs 0.031±0.011, t=－5.635; 0.038±0.017 vs 0.026±0.010, t=－3.485; 0.036±0.012 vs 0.025±0.011, t=－3.312; all P<0.05). The expression of mTOR, Rictor, Raptor and p-S6K protein in the GDM group were enhanced as compared with those in the NGT group (0.834±0.432 vs 0.386±0.361, t= － 2.249;0.589±0.236 vs 0.262±0.075, t= － 3.726; 0.767±0.345 vs 0.323±0.109, t= － 3.472; 1.847±1.025 vs 0.834±0.432, t=－2.575; all P<0.05). The results of immunohistochemistry also showed that the p-S6K in the placental tissues of the GDM group was higher than that of the NGT group (0.29±0.09 vs 0.18±0.08, t=－3.122, P=0.004). The expressions of mTOR protein (0.190±0.085, 0.301±0.089, 0.419±0.065, 0.562±0.108, 0.412±0.058, F=18.351, P<0.05) and p-S6K protein (0.753±0.150, 1.146±0.289, 2.148±0.188, 2.248±0.115, 2.134±0.214, F=66.242, P<0.05) in JEG3 cells treated with different concentrations of glucose (5.5, 10.0, 15.0, 25.0 and 50.0 mmol/L) were significantly different and increased with increasing concentrations of glucose (r=0.314, P=0.035; r=0.457, P=0.002). ConcLusions The up-regulated expressions of mTOR signaling pathway-related molecules in GDM placenta and high glucose-treated trophoblast cells (JEG3 cells) indicate a possible correlation between mTOR signaling pathway and GDM. However, the specific mechanisms need further study.