Oncolytic virotherapy is a promising therapeutic approach treating tumors, where oncolytic viruses (OVs) can selectively infect and lyse tumor cells through replication, while also triggering long-lasting anti-tumor immune responses. Vaccinia virus (VV) has emerged as a leading candidate for use as an OV due to its broad cytophilicity and robust capacity to express exogenous genes. Consequently, oncolytic vaccinia virus (OVV) has entered clinical trials. This review provides an overview of the key strategies used in the development of OVV, summarizes the findings from clinical trials, and addresses the challenges that must be overcome in the advancement of OVV-based therapies. Furthermore, it explores potential future strategies for enhancing the development and clinical application of OVV, intending to improve tumor treatment outcomes. The review aims to facilitate the further development and clinical adoption of OVV, thereby advancing tumor therapies.
Vaccinia virus/physiology* ; Humans ; Oncolytic Virotherapy/methods* ; Oncolytic Viruses/physiology* ; Neoplasms/therapy* ; Animals

Nutritional support therapy is one of the extremely important treatment methods for patients in the intensive care unit. Timely and effective nutritional support regimens can improve patients' immune function, reduce complications, and optimize clinical outcomes. Energy expenditure is influenced by multiple factors, including patients' baseline characteristics (such as physical condition, gender, age) and dynamic changes in indicators (such as body temperature, nutritional support regimens, and therapeutic interventions). The currently recognized "gold standard" for accurately assessing energy metabolism in clinical practice is the indirect calorimetry system, also known as the metabolic cart. This device monitors carbon dioxide production and oxygen consumption in real time and uses specific algorithms to estimate the metabolic proportions of the three major nutrients (carbohydrates, fats, and proteins) in energy expenditure. An appropriate nutrient ratio helps maintain the balance between supply and demand in the body's nutritional metabolism. In the management of critically ill patients, the application of the metabolic cart enables personalized nutritional therapy, avoiding over- or under-supply of energy and optimizing the use of medical resources. Furthermore, with real-time, quantitative data support from the energy metabolism monitoring system, clinicians can develop more precise nutritional intervention strategies, thereby improving patient prognosis. This article provides a systematic review of the technical features of the metabolic cart and its application value in various critical care scenarios, aiming to offer a reference for indirect calorimetry in clinical practice.
Humans ; Critical Illness/therapy* ; Nutritional Support ; Energy Metabolism ; Calorimetry, Indirect

Objective:The purpose of this study was to develop a dynamic prediction model for patients with gastric signet ring cell cancer (GSRCC)following laparoscopic radical gastrectomy in order to improve the precision and usefulness of prognoses prediction for overall survival and disease-free survival.Methods:From 2011 to 2018, 914 National Cancer Center patients participated in the study. To find independent prognostic indicators and create a prognostic nomogram model, univariate and multivariate regression analyses were performed. Calibration curves, receiver operating characteristic curves, and consistency indices were used to assess the model's performance. To make clinical application more convenient, two web-based prediction tools were created.Results:A training set of 639 cases and a validation set of 275 instances were randomly selected from among the patients. Important predictive variables such as age, tumor size, location, pN and pT staging, and postoperative chemotherapy were all incorporated in the model (all P<0.05). The model's consistency index and area under the receiver operating characteristic curves were both higher than 0.7, and the calibration curves demonstrated a good fit between the expected and actual values, indicating high accuracy and consistency in postoperative survival prediction for patients with gastric signet ring cell carcinoma. Conclusion:We successfully developed two dynamic prediction models in this study, which improved its clinical practicability using web-based tools and is anticipated to be crucial to clinical practice going forward.

BACKGROUND:Long non-coding RNA(LncRNA)plays an important role in nervous system development and neurological diseases.Previous studies by the research team have demonstrated that human umbilical cord mesenchymal stem cells overexpressing erythropoietin(EPO-MSCs)under ischemic and hypoxic conditions have better neuroprotective functions and significantly activate the expression of LncRNA XIST.Research suggests that XIST is related to the pathogenesis of hypoxic-ischemic encephalopathy,but the role and mechanism of its regulation by EPO-MSCs in protecting ischemic-hypoxic neurons remain unclear.OBJECTIVE:To explore the new mechanism by which LncRNA XIST,in response to EPO-MSC signaling,affects the apoptosis of ischemic-hypoxic SH-SY5Y cells.METHODS:(1)SH-SY5Y cell lines with knockdown of LncRNA XIST(sh-XIST)and negative control(NC-XIST)were constructed through lentiviral transfection.Oxygen-glucose deprivation was used to induce ischemic-hypoxic injury in the cells.Transwell chambers were used to create a non-contact co-culture system with EPO-MSCs,sh-XIST,and NC-XIST ischemic-hypoxic SH-SY5Y cells.Cell proliferation ability was detected using the CCK-8 assay.Cell migration ability was assessed using the scratch assay,and cell apoptosis was measured by flow cytometry.(2)RNA-seq bioinformatics analysis was performed to screen for differentially expressed genes and pathways between sh-XIST and NC-XIST cell lines.Dual-luciferase experiments were used to verify the relationship between miR-124-3p and the target genes XIST and GRIN1.qRT-PCR was conducted to validate the expression levels of downstream miR-124-3p and GRIN1 genes.(3)miR-124-3p inhibitors and mimics were added to verify phenotypic changes in SH-SY5Y cells after ischemic-hypoxic injury and co-culture with EPO-MSCs.RESULTS AND CONCLUSION:(1)Compared with the NC-XIST group,SH-SY5Y cells in the sh-XIST group showed reduced proliferation and migration abilities and increased apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs.(2)Dual-luciferase experiments showed that miR-124-3p interacted with the target gene XIST.SH-SY5Y cells transfected with miR-124-3p mimics and co-cultured with EPO-MSCs showed decreased apoptosis after ischemic-hypoxic injury,while SH-SY5Y cells transfected with miR-124-3p inhibitors showed increased apoptosis after co-culture with EPO-MSCs.(3)Transcriptomic sequencing and bioinformatics analysis of sh-XIST revealed significant downregulation of the neuroactive ligand-receptor pathway and the key receptor gene GRIN1 for central nervous system development.(4)Dual-luciferase experiments showed that miR-124-3p interacted with GRIN1.GRIN1 expression was significantly downregulated in the sh-XIST group after ischemic-hypoxic injury compared with the NC-XIST group.These findings indicate that LncRNA XIST promotes GRIN1 expression by upregulating miR-124-3p,thereby reducing cell apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs and enhancing proliferation and migration.sh-XIST can block this protective function.

Over the past 40 years since China launched its HIV/AIDS prevention and control efforts，scientific and technological innovation has greatly strengthened every aspect of the response and played a pivotal role. Based on progress and achievements in science and technology in China，this review focuses on four areas：HIV/AIDS surveillance/detection，antiviral treatment，biological prevention，and digital technology. This article emphasizes that only by advancing scientific and technological innovation，promoting the application of research outcomes，and continuously adapting to new challenges can we effectively promote the national HIV/AIDS prevention and control and ultimately control the epidemic at a low level.

BACKGROUND:Long non-coding RNA(LncRNA)plays an important role in nervous system development and neurological diseases.Previous studies by the research team have demonstrated that human umbilical cord mesenchymal stem cells overexpressing erythropoietin(EPO-MSCs)under ischemic and hypoxic conditions have better neuroprotective functions and significantly activate the expression of LncRNA XIST.Research suggests that XIST is related to the pathogenesis of hypoxic-ischemic encephalopathy,but the role and mechanism of its regulation by EPO-MSCs in protecting ischemic-hypoxic neurons remain unclear.OBJECTIVE:To explore the new mechanism by which LncRNA XIST,in response to EPO-MSC signaling,affects the apoptosis of ischemic-hypoxic SH-SY5Y cells.METHODS:(1)SH-SY5Y cell lines with knockdown of LncRNA XIST(sh-XIST)and negative control(NC-XIST)were constructed through lentiviral transfection.Oxygen-glucose deprivation was used to induce ischemic-hypoxic injury in the cells.Transwell chambers were used to create a non-contact co-culture system with EPO-MSCs,sh-XIST,and NC-XIST ischemic-hypoxic SH-SY5Y cells.Cell proliferation ability was detected using the CCK-8 assay.Cell migration ability was assessed using the scratch assay,and cell apoptosis was measured by flow cytometry.(2)RNA-seq bioinformatics analysis was performed to screen for differentially expressed genes and pathways between sh-XIST and NC-XIST cell lines.Dual-luciferase experiments were used to verify the relationship between miR-124-3p and the target genes XIST and GRIN1.qRT-PCR was conducted to validate the expression levels of downstream miR-124-3p and GRIN1 genes.(3)miR-124-3p inhibitors and mimics were added to verify phenotypic changes in SH-SY5Y cells after ischemic-hypoxic injury and co-culture with EPO-MSCs.RESULTS AND CONCLUSION:(1)Compared with the NC-XIST group,SH-SY5Y cells in the sh-XIST group showed reduced proliferation and migration abilities and increased apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs.(2)Dual-luciferase experiments showed that miR-124-3p interacted with the target gene XIST.SH-SY5Y cells transfected with miR-124-3p mimics and co-cultured with EPO-MSCs showed decreased apoptosis after ischemic-hypoxic injury,while SH-SY5Y cells transfected with miR-124-3p inhibitors showed increased apoptosis after co-culture with EPO-MSCs.(3)Transcriptomic sequencing and bioinformatics analysis of sh-XIST revealed significant downregulation of the neuroactive ligand-receptor pathway and the key receptor gene GRIN1 for central nervous system development.(4)Dual-luciferase experiments showed that miR-124-3p interacted with GRIN1.GRIN1 expression was significantly downregulated in the sh-XIST group after ischemic-hypoxic injury compared with the NC-XIST group.These findings indicate that LncRNA XIST promotes GRIN1 expression by upregulating miR-124-3p,thereby reducing cell apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs and enhancing proliferation and migration.sh-XIST can block this protective function.

Over the past 40 years since China launched its HIV/AIDS prevention and control efforts，scientific and technological innovation has greatly strengthened every aspect of the response and played a pivotal role. Based on progress and achievements in science and technology in China，this review focuses on four areas：HIV/AIDS surveillance/detection，antiviral treatment，biological prevention，and digital technology. This article emphasizes that only by advancing scientific and technological innovation，promoting the application of research outcomes，and continuously adapting to new challenges can we effectively promote the national HIV/AIDS prevention and control and ultimately control the epidemic at a low level.

Objective:The purpose of this study was to develop a dynamic prediction model for patients with gastric signet ring cell cancer (GSRCC)following laparoscopic radical gastrectomy in order to improve the precision and usefulness of prognoses prediction for overall survival and disease-free survival.Methods:From 2011 to 2018, 914 National Cancer Center patients participated in the study. To find independent prognostic indicators and create a prognostic nomogram model, univariate and multivariate regression analyses were performed. Calibration curves, receiver operating characteristic curves, and consistency indices were used to assess the model's performance. To make clinical application more convenient, two web-based prediction tools were created.Results:A training set of 639 cases and a validation set of 275 instances were randomly selected from among the patients. Important predictive variables such as age, tumor size, location, pN and pT staging, and postoperative chemotherapy were all incorporated in the model (all P<0.05). The model's consistency index and area under the receiver operating characteristic curves were both higher than 0.7, and the calibration curves demonstrated a good fit between the expected and actual values, indicating high accuracy and consistency in postoperative survival prediction for patients with gastric signet ring cell carcinoma. Conclusion:We successfully developed two dynamic prediction models in this study, which improved its clinical practicability using web-based tools and is anticipated to be crucial to clinical practice going forward.

Purpose/Significance To introduce the knowledge graph technology in the field of electronic information into the study of traditional Chinese medicine(TCM)terminology,and to demonstrate the dialectical relationship between the therapeutic effects of TCM and its nature,flavor,meridians and TCM diseases in a vivid way.Method/Process The top-down ontology construction method is adopted to build the top-level structure of TCM ontology on the Protégé platform.Taking the 2020 edition of the Chinese Pharmacopoeia as the data source,the TCM information in the pharmacopoeia is split and extracted,and the information of each axis is sorted,disambiguated and nor-malized.With the help of the Protégé platform,entities and relationships are created,and the TCM triple data is output in RDF data for-mat.Finally,the Neo4j graph database is used to store and display the RDF data to form a systematic TCM knowledge graph.Result/Con-clusion It mainly realizes the construction of the knowledge graph of TCM in the pharmacopoeia,and fully reveals the complex knowledge system structure in the field of TCM through data statistical analysis,knowledge measurement and drawing of visual graphics.