OBJECTIVE: miR-34c-3p is down-regulated in nasopharyngeal carcinoma (NPC). The biological role of miR-34c-3p in NPC and its underlying mechanisms are unknown and were explored in this study. METHODS: Flow cytometry and immunohistochemical staining were employed to detect cluster of differentiation 86 (CD86) and cluster of differentiation 206 (CD206) expression; quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting were employed to examine mRNA expression and protein levels; cell counting kit-8 (CCK8) and transwell assays were employed to assess cell proliferation, migration, and invasion; and hematoxylin-eosin (HE) staining was employed to assess pathological changes in tumor tissues. RESULTS: Our results revealed that the miR-34c-3p mimic markedly inhibited M2 polarization of macrophages by targeting SLC7A11, and M2 macrophages transfected with the miR-34c-3p mimic inhibited the proliferation, migration, and invasion of NPC cells. The in vivo experiments further confirmed that miR-34c-3p mimics blocked tumor growth and reduced inflammatory infiltration in tumor tissues. CONCLUSION This study provides novel insights into the pathogenesis of NPC and a new treatment strategy.
MicroRNAs/metabolism* ; Nasopharyngeal Carcinoma/genetics* ; Humans ; Animals ; Nasopharyngeal Neoplasms/genetics* ; Macrophages/physiology* ; Cell Line, Tumor ; Mice ; Cell Proliferation ; Mice, Inbred BALB C ; Cell Movement ; Male ; Gene Expression Regulation, Neoplastic ; Mice, Nude ; Female

OBJECTIVE: This study examines utilizes the advantages of machine learning algorithms to discern key determinants in prognosticate postoperative circulatory complications (PCCs) for older patients. METHODS: This secondary analysis of data from a randomized controlled trial involved 1,720 elderly participants in five tertiary hospitals in Beijing, China. Participants aged 60-90 years undergoing major non-cardiac surgery under general anesthesia. The primary outcome metric of the study was the occurrence of PCCs, according to the European Society of Cardiology and the European Society of Anaesthesiology diagnostic criteria. The analysis metrics contained 67 candidate variables, including baseline characteristics, laboratory tests, and scale assessments. RESULTS: Our feature selection process identified key variables that significantly impact patient outcomes, including the duration of ICU stay, surgery, and anesthesia; APACHE-II score; intraoperative average heart rate and blood loss; cumulative opioid use during surgery; patient age; VAS-Move-Median score on the 1st to 3rd day; Charlson comorbidity score; volumes of intraoperative plasma, crystalloid, and colloid fluids; cumulative red blood cell transfusion during surgery; and endotracheal intubation duration. Notably, our Random Forest model demonstrated exceptional performance with an accuracy of 0.9872. CONCLUSION We have developed and validated an algorithm for predicting PCCs in elderly patients by identifying key risk factors.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Cardiovascular Diseases/etiology* ; Machine Learning ; Postoperative Complications/etiology* ; Risk Factors ; Randomized Controlled Trials as Topic ; Secondary Data Analysis

OBJECTIVE To establish a pharmaceutical management model for infusion safety in hospitalized inpatients and ensure the safety of drug use. METHODS Our hospital established the standardized management process for infusion scheme， formulated rules for compatibility contraindications in drug combinations. In the form of embedded hospital official account, the infusion scheme and medication guidance WeChat developed by pharmacists are pushed to the mobile phone of inpatients, providing electronic medication guidance services for patients, and forming a pharmaceutical management model for infusion safety of inpatients. RESULTS Our hospital provided a total of 45 291 inpatients with pharmaceutical services including the formulation of individualized infusion scheme and WeChat push infusion scheme and medication guidance as of December 2023. After the implementation of the management model， the intervention rate of pharmacists on the compatibility contraindications in drug combination of long-term medical orders for inpatients increased from 18.25% before implementation to 90.58% （P＜0.01）， and the satisfaction rate of inpatients increased from 87.50% to 94.50% （P＜0.05）. CONCLUSIONS The pharmaceutical management model for infusion safety of hospitalized patients integrates pharmaceutical services throughout the entire process of intravenous medication treatment. Pharmacists can participate in the management of infusion usage while providing qualified finished infusion products, achieving closed-loop management of pharmaceutical services, improving the hospital’s pharmaceutical service capabilities and patient satisfaction, and providing guarantees for the safety and effectiveness of patient medication.

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

In recent years,emerging evidence has revealed the non-classical biological functions of platelets.Research on the regulation of platelet bioenergetic metabolism and its functional implications is of great significance for understanding the mecha-nisms of related diseases and developing novel therapeutic strate-gies.Current research is focusing on platelet-derived mitochon-dria because of their distinct biological characteristics.Notably,the ability of platelets to transfer mitochondria to recipient cells can reprogram the metabolism and function of these cells,poten-tially playing a pivotal role in diverse pathophysiological proces-ses.This review comprehensively summarizes the emerging roles of platelet-derived mitochondria transfer in various diseases in-cluding diabetes mellitus,cardiovascular disorders,neurodegen-erative diseases,and cancer.It further explores the application prospects in these diseases,providing a scientific basis for the development of precise therapeutic strategies.

In recent years,emerging evidence has revealed the non-classical biological functions of platelets.Research on the regulation of platelet bioenergetic metabolism and its functional implications is of great significance for understanding the mecha-nisms of related diseases and developing novel therapeutic strate-gies.Current research is focusing on platelet-derived mitochon-dria because of their distinct biological characteristics.Notably,the ability of platelets to transfer mitochondria to recipient cells can reprogram the metabolism and function of these cells,poten-tially playing a pivotal role in diverse pathophysiological proces-ses.This review comprehensively summarizes the emerging roles of platelet-derived mitochondria transfer in various diseases in-cluding diabetes mellitus,cardiovascular disorders,neurodegen-erative diseases,and cancer.It further explores the application prospects in these diseases,providing a scientific basis for the development of precise therapeutic strategies.

Objective To design a VR-based air evacuation training system for simulating the on-board medical treatment process during air evacuation.Methods A VR-based air evacuation training system was developed which used 3D modeling technology to construct models of the medical aircraft cabin,medical devices and virtual characters to achieve scene interaction.The hardware part of the system included server computers,training terminal computers,VR equipment,3D fusion projection equipment,motion capture equipment,etc.The software of the system was developed using C++,UE4 Blueprint and C# programming languages,including two modules for medical treatment unit and medical treatment training process evaluation.The efficacy of the system was verified by the trials in air evacuation.Results The system developed successfully simulated the scenarios of tracheal tube dislodgement and increased intracranial pressure in the scenario model of open severe craniocerebral injury.The expert evaluation showed that the system gained advantages in training efficiency,low cost,safety,sense of immersion and recorded the operation data in real time to optimize the follow-up training.Conclusion The system developed delivers a virtual training environment with high-fidelity replication of real-mission conditions,enabling whole-course and immersive air evacuation drills.[Chinese Medical Equipment Journal,2025,46(3):15-20]

Objective To achieve intelligent recognition and segmentation of common craniocerebral inju-ries(hereinafter referred to as"segmentation")by training convolutional neural network DeepLabV3+model based on CT images of blunt craniocerebral injury(BCI),and to explore the value of deep learning in automated diagnosis of BCI in forensic medicine.Methods A total of 5 486 CT images of BCI from living persons were collected as the training set,validation set and test set for model training and performance evaluation.Another 255 CT images of BCI and 156 normal craniocerebral CT images from living persons were collected as the blind test set to evaluate the ability of the model to seg-ment the five types of craniocerebral injuries including scalp hematoma,skull fracture,epidural hema-toma,subdural hematoma,and brain contusion.Another 340 BCI and 120 normal craniocerebral CT images from cadavers were collected as the new blind test set to explore the application value of the model trained by living CT images in the segmentation of BCI in cadavers.The five types CT images of all BCI except the blind test set were manually labeled;then,each dataset was inputted into the model to train the model.The performance of the model was evaluated and optimized based on the loss function and accuracy curves of the training set and validation set,and the generalization ability was evaluated based on the Dice value of the test set.According to the accuracy,precision and F1 value of the blind test set,the segmentation performance of the model for five types of BCI was evaluated.Results After training and optimizing the model,the average Dice values of the final optimal model to scalp hematoma,skull fracture,epidural hematoma,subdural hematoma and brain contusion segmen-tation were 0.766 4,0.812 3,0.938 7,0.782 7 and 0.858 1,respectively,all greater than 0.75,meeting the expected requirements.External validation showed that the F1 values were 93.02%,89.80%,87.80%,92.93%and 86.57%in living CT images,respectively;83.92%,44.90%,76.47%,64.29%and 48.89%in cadaveric CT images,respectively.The above suggested that the model was able to accu-rately segment various types of craniocerebral injury on living CT images,while its segmentation ability was relatively poor on cadaveric CT images,but still able to accurately segment scalp hematoma,epidu-ral hematoma and subdural hematoma.Conclusion Deep learning model trained on CT images can be used for BCI segmentation.However,the direct use of living persons'BCI models for the identifica-tion of cadaveric BCI has some limitations.This study provides a new approach for intelligent segmen-tation of virtual anatomical data for BCI.

Objective To investigate the value of wrist MRI in bone age estimation for male adoles-cents in Shanghai,Zhejiang and Jiangsu.Methods A total of 124 Han male adolescents aged 6.0 to 18.0 years from Shanghai,Zhejiang and Jiangsu were selected as subjects.Their weight and height were measured,and T1WI and T2WI sequences of the wrist were scanned.The distal ends of the ra-dius and ulna,and the first to five metacarpal epiphyses and corresponding metaphyses were selected as observational indexes after MRI images of the wrist were obtained.The development of each index was classified(0-2 grades)by a deputy senior imaging expert,then the maximum width of each in-dex was measured by another deputy senior expert.Height,weight,classification and maximum width of indexes were used as input variables,and age was used as the target variable.Support vector ma-chine,random forest,current reality tree,and linear regression models were established to estimate the bone age,and the model with the highest accuracy was selected.Results The height,weight,classifica-tion of wrist bone epiphysis development,maximum width of each bone metaphysis and epiphysis were all correlated with age(P<0.05).The accuracies of the support vector machine were the highest when the differences between bone age and actual chronological age were within 1.0 and 1.5 years(88.7%and 96.0%,respectively).Conclusion It is feasible to estimate bone age by using MRI images.Quantifying the maximum width of the epiphysis and corresponding metaphysis of bone and combining it with MRI image classification can effectively reduce the estimation error.

Objective To explore the mechanism of Jianshen Lishui Decoction on nerve cell apoptosis in rats with cerebral hemorrhage.Methods The expression of miR-153 in cerebral hemorrhage was analyzed by miRNA microarray and RT-PCR,and the relationship between miR-153 and neuronal apoptosis in cerebral hemorrhage was observed,and predicted the target gene of miR-153;the binding of miR-153 to target genes was studied by dual-luciferase reporter gene Experiments,and to observe the effects of overexpression and inhibition of miR-153 on target genes.Subsequently,the relationship between target genes and neuronal apoptosis in cerebral hemorrhage was determined.Finally,the effect of Jianshen Lishui Decoction on miR-153 and the target gene,and finally explored the related mechanism of Jianshen Lishui Decoction on nerve cell apoptosis in rats with cerebral hemorrhage.Results Microarray chip and RT-PCR detection showed that miR-153 was lowly expressed in cerebral hemorrhage(P<0.05),and miR-153 was negatively correlated with neuronal apoptosis(R:-0.875,P=0.0002).The online databases TargetScan and miRDB showed that miR-153 has a binding region with TREM1,and the dual-luciferase reporter gene demonstrated a binding relationship between the two.When miR-153 was overexpressed,the expression of TREM1 was down-regulated,conversely,up-regulated when miR-153 was repressed,and TREM1 was positively correlated with nerve cell apoptosis(R:0.857,P<0.001).The expression of TREM1,the number of nerve cell apoptosis and the score of Neurological Deficit Scores in the Jianshen Lishui Decoction group were lower than those in the model group(P<0.05),and the expression of miR-153 was higher than that in the model group(P<0.05).The expression of TREM1,the number of nerve cell apoptosis and the score of Neurological Deficit Scores in the Jianshen Lishui Decoction +miR-153 inhibition group were higher than those in the Jianshen Lishui Decoction group(P<0.05).Conclusion Jianshen Lishui Decoction inhibits the apoptosis of nerve cells and protects the neurologicalfunctions in rats with cerebral hemorrhage by promoting miR-153 expression and inhibitingTREM1 expression.