Geniposide， the primary active component of the traditional Chinese medicine Gardeniae Fructus， is a water-soluble iridoid glycoside. Pharmacological studies have demonstrated that geniposide exhibits various biological activities， including hepatoprotective， anti-inflammatory， analgesic， neuroprotective， antidepressant effects， and inhibitory activity against ischemia-reperfusion injury. Recent research has revealed its promising potential in preventing and treating diseases such as atherosclerosis and osteoporosis， indicating broad application prospects. Numerous in vitro and in vivo studies indicate that the pharmacodynamic mechanisms of geniposide are primarily associated with the inhibition of inflammatory responses and oxidative stress， improvement of lipid metabolism， and regulation of apoptosis. However， due to its high water solubility and rapid metabolism in vivo， geniposide suffers from low oral bioavailability， which limits its therapeutic efficacy and clinical application. In recent years， various formulations， such as creams， cubic liquid crystals， hydrogels， and liposomes， have been developed to address its bioavailability issues. This article reviewed the latest research progress on the pharmacological activities and formulation development of geniposide by analyzing domestic and international literature from the past decade， aiming to provide a theoretical basis for further research， development， and utilization of geniposide and its formulations.

Objective: Blood safety surveillance is a critical measure for the objective assessment of blood quality and enhancing transfusion safety. This study aims to comprehensively understand the current status of blood safety surveillance and management in blood collection and supply institutions in Sichuan Province, systematically analyze existing problems and vulnerabilities, and provide a basis for optimizing management strategies and improving capabilities to ensure blood safety. Methods: The Blood Safety Surveillance questionnaire was designed, covering adverse donor reaction reporting, management of adverse events, and transfusion adverse reaction feedback. An online survey was conducted via Questionnaire Star platform among 21 blood collection and supply institutions in the province, gathering information on management systems, process implementation, and utilization of monitoring data. The collected data were organized and statistically analyzed using Excel. Results: The questionnaire response rate and validity rate were both 100%. Blood collection and supply institutions in Sichuan Province have generally established a blood safety surveillance system and achieved positive outcomes. Regarding adverse events in blood collection and supply, 95.24% (20 institutions) have established reporting procedures, and 66.67% (14) collect information through multiple channels such as internal reports, external reports, and statistical trend feedback. A total of 90.48% (19) institutions regularly summarize and analyze adverse event data, and 85.71% (18) produce reports with improvement recommendations based on this analysis.71.43% (15) institutions implement reward and penalty measures, and 71.43% (15) report underreporting or omission due to accountability or performance concerns. In terms of monitoring adverse blood donation reactions, all blood collection and supply institutions have established full-process management systems.76.19% (16) collect data through multiple approaches, including on-site donation records, voluntary donor reports, and donor follow-ups. Adverse reactions were followed up in 95.24% (20) of institutions with 65% (13) completing follow-ups within 24 hours.80.95% (17) have established investigation procedures, while 66.67% (14) believe underreporting or omission still occurs. All blood collection and supply institutions regularly compile statistics on adverse donation reactions. Of these, 85.71% (18) institutions providing feedback to management departments and 90.48% (19) analyzing the data and making recommendations.76.19% (16) institutions use monitoring data for return donor management and targeted care, and 71.43% (15 stations) incorporate it into management reviews. Regarding adverse transfusion reactions, 95.24% (20) institutions have established and implemented procedures for isolating, recalling, and tracing of problematic blood units. However, only 42.86% (9) have established feedback mechanisms of adverse transfusion reaction with hospitals, and only 19.05% (4) support direct reporting via information systems.47.62% (10) institutions regularly analyze adverse transfusion reaction data, and 19.05% (4) provide feedback and recommendations to relevant hospitals. All blood collection and supply institutions reported challenges in collecting hospital feedback, citing complexities in data collection and reporting processes. Conclusion: Blood safety surveillance systems have been preliminarily established in Sichuan Province. However, further strengthening is still required, including conducting in-depth data analysis and utilization, standardizing the configuration of emergency medications and equipment, and improving feedback mechanisms for adverse transfusion reactions. To improve the overall level of blood safety management, it is recommended to strengthen closed-loop data management, improve feedback mechanisms between blood collection and supply institutions and hospitals, foster a non-punitive reporting culture, and systematically advance the regionalization and standardization of the monitoring system. These efforts will contribute to sustainably improving the overall effectiveness and sustainability of blood safety management.

Objective: To investigate the status of heat illness, knowledge awareness and adaptive behaviors of heat wave knowledge among food delivery riders, so as to provide a basis for optimizing heat wave response measures for food delivery riders. Methods: In November 2022, food delivery riders from a large food delivery platform in Ningbo City, Zhejiang Province were selected as survey subjects using a cluster sampling method. A self-designed electronic questionnaire was used to select demographic information, work status, lifestyle behaviors and disease history, heat illness status, knowledge awareness and adaptive behaviors of heatwave. Results: A total of 911 questionnaires were distributed, and 830 valid questionnaires were recovered, resulting in a valid response rate of 91.11%. Among the respondents, 796 (95.90%) were male, and 818 (98.55%) worked full-time. The mean age was (27.75±8.00) years. A total of 470 respondents (56.63%) had a work tenure of less than 1 year. The primary working hours were 8-<12 hours, with 504 people accounting for 60.72%. There were 108 cases of heatstroke, with an occurrence rate of 13.01%. And 286 people reported heat-related symptoms, with an occurrence rate of 34.46%. The overall awareness rate of heat wave knowledge was 73.22%, while the awareness rate of heat warning signal classification was relatively low at 9.04%. The heat wave cognition score was (5.86±1.31) points. There were statistically significant differences in heat wave cognition scores among food delivery riders of different ages, educational levels, family annual income, work tenures, and work durations (all P<0.05). Regarding positive adaptive behaviors, the number of riders paying attention to weather forecasts and actively learning about preventive measures was higher (734 people each, accounting for 88.43%). Regarding negative adaptive behaviors, the number of riders who often drank ice-cold beverages was higher (509 people, accounting for 61.33%). The heat wave adaptive behavior score was (6.88±1.77) points. There were statistically significant differences in adaptive behavior scores among riders with different educational levels, family annual income, work tenures, and smoking frequency (all P<0.05). Conclusions The occurrence rates of heatstroke and heat-related symptoms among food delivery riders are relatively high. The knowledge awareness and adaptive behaviors regarding heat wave are at a moderate level. It is suggested to strengthen health education, reinforce risk cognition of heat wave, and promote positive adaptive behaviors among food delivery riders.

The structural characteristics and clinical application of embolic microspheres were summarized in this paper. According to evaluation experience and current regulatory registration evaluation requirements, registration evaluation concerns on embolic microsphere as medical device were analyzed from four aspects: administration attributes, product description, non-clinical studies and clinical evaluation, in order to provide references for the development and registration application of such products and improve the efficiency of registration application.
Microspheres ; Device Approval ; Embolization, Therapeutic/instrumentation*

Accumulating evidence has demonstrated that nucleic acid-based therapies are promising for atherosclerosis. However, nearly all nucleic acid delivery systems developed for atherosclerosis necessitate injection, which results in rapid elimination and poor patient compliance. Consequently, oral delivery strategies capable of targeting atherosclerotic plaques are imperative for nucleic acid therapeutics. Herein we report the development of yeast-derived capsules (YCs) packaging an antisense oligonucleotide (AM33) targeting microRNA-33 (miR-33) for the oral treatment of atherosclerosis. YCs provide stability for AM33, preventing its premature release in the gastrointestinal tract. AM33-containing YCs, defined as YAM33, showed high transfection in macrophages, thus promoting cholesterol efflux and inhibiting foam cell formation by regulating the target genes/proteins of miR-33. Orally delivered YAM33 effectively accumulated within atherosclerotic plaques in ApoE ^-/- mice, primarily by transepithelial absorption via M cells in Peyer's patches and subsequent translocation via macrophages through the lymphatic system. Inhibition of miR-33 by oral YAM33 significantly delayed the progression of atherosclerosis. Moreover, oral treatment with YCs co-delivering AM33 and atorvastatin afforded significantly enhanced anti-atherosclerotic effects. Our findings suggest that yeast-based microcapsules represent an effective carrier for oral delivery of nucleic acids, either alone or in combination with existing drugs, offering a promising approach for precision therapy of atherosclerotic diseases.

Objective To explore the predictive value of serum high-mobility group box protein B1(HMGB1)and soluble receptor for advanced glycation end-products(sRAGE)in the occurrence and short-term prognosis of sepsis-associated encephalopathy(SAE).Methods Clinical data of 228 patients with sepsis were retrospectively analyzed.According to the presence of SAE,patients were divided into the SAE group(96 cases)and the non-SAE group(132 cases).General clinical data,laboratory test results,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHEⅡ)scores,Sequential Organ Failure Assessment(SOFA)scores and serum HMGB1 and sRAGE levels were compared between the two groups.Multivariate Logistic regression analysis was performed to determine factors influencing SAE occurrence.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive ability of HMGB1,sRAGE and the HMGB1/sRAGE ratio to predict the occurrence and short-term prognosis of SAE.Kaplan-Meier survival curves were used to compare the 28-day mortality rates of SAE patients with different HMGB1 and sRAGE expression levels.Results Compared to the non-SAE group,patients in the SAE group exhibited elevated serum HMGB1 levels,decreased sRAGE levels and an increased HMGB1/sRAGE ratio(P＜0.05).The areas under the curve(AUC)for predicting SAE using HMGB1,sRAGE and the HMGB1/sRAGE ratio were 0.826(95%CI:0.770-0.872),0.682(95%CI:0.617-0.742)and 0.895(95%CI:0.848-0.932),respectively,indicating predictive value.Among the 96 SAE patients,52(54.2%)died within 28 days.There were no statistically significant differences in HMGB1,sRAGE and the HMGB1/sRAGE ratio between surviving and deceased patients(P＞0.05).Similarly,there were no significant differences in 28-day mortality rates between SAE patients with different HMGB1 or sRAGE expression levels.Conclusion Elevated serum HMGB1 and reduced sRAGE are of significant value in the auxiliary diagnosis of SAE,but have limited clinical predictive value for short-term prognosis.

Cerebral ischemia-reperfusion injury can lead to secondary brain damage through com-plex pathological processes such as ion imbalance,inflammation,mitochondrial dysfunction,oxidative stress,and increased vascular permeability,serious-ly affecting the prognosis and quality of life of isch-emic stroke patients.How to effectively reduce and prevent neurological damage caused by CIRI has become a key and hot topic in CIS research.In re-cent years,many studies have confirmed that the active ingredients of traditional Chinese medicine can alleviate oxidative stress,inhibit autophagy,regulate cell apoptosis,control neuroinflammation,reduce cell apoptosis index,alleviate neuronal his-topathological damage,promote neuronal survival,enhance synaptic plasticity,and play a therapeutic role in CIRI through the PI3K/Akt signaling pathway.In summary,this article provides a review of the PI3K/Akt signaling pathway and its role in CIRI,as well as the research on the regulation of PI3K/Akt signaling by active ingredients in traditional Chi-nese medicine for the treatment of CIRI.The aim is to provide a theoretical basis for the clinical use of active ingredients in traditional Chinese medicine to alleviate CIRI damage.

Objective To observe the value of machine learning(ML)models based on ultrasound radiomics for preoperatively distinguishing atypical parathyroid tumor(APT)/parathyroid carcinoma(PC)and parathyroid adenoma(PA).Methods Totally 330 primary hyperparathyroidism patients who underwent surgical treatments were retrospectively enrolled and categorized into APT/PC group(n=78)and PA group(n=252)according to surgical pathology and clinical follow-up results,also divided into training set(n=231)and test set(n=99)at the ratio of 7∶3.Based on preoperative ultrasound,545 radiomics features were extracted,and recursive feature elimination(RFE),Kruskal-Wallis or analysis of variance methods were used to screen the features,respectively.Support vector machine(SVM),linear discriminant analysis(LDA),least absolute shrinkage and selection operator logistic regression(LRLASSO),also random forest(RF)and decision tree(DT)algorithms were adopted to construct ML models for differentiating APT/PC and PA,respectively.Then the models were trained in training set,their performance were verified in test set,and a 5-fold cross-validation was adopted to screen out the better combinations.Results Compared with Kruskal-Wallis and analysis of variance methods,the distinguishing efficacy of SVM,LDA,LRLASSO,RF and DT models constructed based on features screened out using RFE method in training set(area under the curve[AUC]=0.870,0.878,0.850,0.847,1.000)and test set(AUC=0.856,0.842,0.827,0.847 and 0.704)were all relatively higher.In test set,the AUC of SVM,LDA,LRLASSO and RF models constructed based on the features screened out using RFE method(included 25,23,17 and 23 features)were all higher than that of DT model(8 features)(all P＜0.001).No significant difference of AUC was found between SVM,LRLASSO or RF models and LDA model(all P＞0.05).The AUC of SVM and RF models were higher than that of LRLASSO model(both P＜0.05),while of SVM and RF models were not significantly different(P＞0.05),indicating that SVM,LDA and RF models were better ones.Conclusion SVM,LDA,LRLASSO,RF and DT models based on ultrasound radiomics could effectively distinguish APT/PC and PA preoperatively,among which SVM,LDA and RF models had better diagnostic efficacy.

Neurodegenerative diseases(NDD)are a heterogeneous group of disorders characterized by neuronal degeneration and functional impairment,in which neuroinflammation plays a pivotal role throughout disease onset and progression.The 18 kDa translocator protein(TSPO)serves as an important molecular biomarker of neuroinflammation,with its expression closely associated with activation of microglia and astrocytes.TSPO-PET enables noninvasive and dynamic mapping of spatiotemporal distribution of cerebral neuroinflammation,providing crucial molecular imaging evidence for early diagnosis,disease evaluation and therapeutic response assessment of NDD.The advances and challenges of TSPO-PET imaging in NDD were reviewed in this article.

Objective:To construct an in situ pancreatic tumor model in mice and explore the mechanism of neuromedin U (NMU) remodeling the metabolic microenvironment of pancreatic tumors via the Hedgehog signaling pathway.Methods:C57BL/6 NMU -/- heterozygous mice were bred in one cage with a female-to-male ratio of 2:1. The tail tissues of offspring rats were taken, and knockout primers were designed according to the sequence structure of NMU gene. The C57BL/6 NMU -/- mouse genotypes were identified by polymerase chain reaction (PCR) and agarose gel electrophoresis. Five C57BL/6 NMU -/- homozygotes and five wild type mice aged 8 to 9 weeks were selected, and Panc02 cell suspension of pancreatic cancer in logarithmic growth phase was injected into pancreatic tail tissue to construct tumor bearing mice model of pancreatic tumor in situ. After 3 weeks of tumor loading, flow cytometry was used to detect the abundance changes of CD8 + T cells in the spleen tissues of two groups of mice. GSE102238 (data published in August 2017) and GSE62452 (data published in July 2016) datasets were download from the Gene Expression Omnibus (GEO) database, including 119 samples of pancreatic cancer tissue and 111 samples of normal pancreatic tissue adjacent to cancer, and the differential expression factors of the two groups of samples were screened. R language limma package was used to analyze the differential expression of NMU mRNA in pancreatic cancer tissues and adjacent normal tissues; the relative expression level of NMU mRNA in pancreatic cancer patients of different ages and tumor grades was analyzed by ggpubr package. The relative expression level data of NMU mRNA in pancreatic tumor patients were extracted, and the patients were divided into high expression group (>2.48) and low expression group (<2.48) based on the median value (2.48). The CIBERSORT algorithm was used to calculate the difference in the content of infiltrating immune cells in pancreatic tumors between the two groups of patients. The overall survival of patients with different relative expression levels of NMU mRNA in the OncoLnc database (59 cases in the high expression group and 59 cases in the low expression group) was compared. The data of 178 patients with pancreatic cancer in TCGA-PAAD of The Cancer Genome Atlas (TCGA) database (updated in March 2024) were download. According to the median value of relative expression of NMU mRNA (2.740), the patients were divided into the high expression group (>2.740) and the low expression group (<2.740), with 89 cases in each group. GSEA software was used to analyze the biological functions and pathways in which the genes enriched significantly. The molecules and key targets for molecular docking were explored using the large molecule protein interaction tool PDBePISA. Spearman correlation analysis was performed using R language data packets. Results:The results of C57BL/6 NMU -/- mouse genotypes analyzed by using the gel electrophoresis pattern of PCR amplification products of tail tissues showed that the wild type was one 380 bp electrophoretic band, the homozygous type was one 450 bp electrophoretic band, and the heterozygous type was 450 bp and 380 bp electrophoretic bands. After identifying and screening pure strains mouse, reproduction was carried out, and C57BL/6 NMU -/- homozygous mice were successfully obtained. The results of flow cytometry analysis showed that the proportion of CD8 + T cells in the spleen tissues of C57BL/6 NMU -/- wild-type and homozygous pancreatic tumor bearing mice was (30.38±0.37)% and (37.00±0.48)%, with a statistically significant difference between the two groups ( t = 9.79, P < 0.001). The absolute values of CD8 + T cells were (8.36±0.27)×10 4 and (10.20±0.28)×10 4, respectively, and the difference was statistically significant ( t = 3.71, P = 0.013). In the GEO database GSE102238 and GSE62452 datasets, there were differentially expressed genes in pancreatic cancer tissues compared with adjacent tissues, including 219 up-regulated genes and 325 down-regulated genes in pancreatic cancer tissues; among them, NMU was an upregulated differentially expressed gene. The relative expression of NMU mRNA in patients aged > 65 year or grade G3-G4 was higher than that in patients aged ≤ 65 years or grade G1-G2, and the differences were statistically significant (both P < 0.05). The analysis results of CIBERSORT algorithm showed that the expression abundance of CD8 + T cells, initial CD4 + T cells, activated memory CD4 + T cells, and γδ T cells in the high expression group of NMU was lower than that in the low expression group (all P < 0.05). The overall survival of the high expression group of NMU was worse than that of the low expression group in the OncoLnc database ( P = 0.010). GSEA enrichment analysis and Spearman correlation analysis revealed significant changes in the Hedgehog signaling pathway, biosynthesis of unsaturated fatty acids and pyrimidine nucleotide metabolism, which affected tumor metabolic remodeling. Conclusions:NMU may remodel the tumor microenvironment of pancreatic cancer by regulating Hedgehog signaling pathway.