Osteoporosis(OP) is a senile bone disease characterized by an imbalance between bone remodeling and bone formation. Targeting pathogenesis of kidney deficiency, spleen deficiency, and blood stasis, Bushen Jianpi Huoxue Decoction has a significant effect on the treatment of OP by tonifying kidney, invigorating spleen, and activating blood circulation. MicroRNA(miRNA) and the anti-apoptotic protein B-cell lymphoma-2-like protein 1(BCL2L1) are closely related to bone cell metabolism. Therefore, in this study, the binding of miR-140-5p to BCL2L1 was detected by dual luciferase assay and polymerase chain reaction(PCR). After silencing or overexpressing miR-140-5p, the apoptosis, autophagy, and osteogenic function of human fetal osteoblast cell line 1.19(HFOB1.19) were observed by flow cytometry and Western blot. Bushen Jianpi Huoxue Decoction-containing serum was prepared by intragastric administration of Bushen Jianpi Huoxue Decoction in rats. Different concentrations of Bushen Jianpi Huoxue Decoction-containing serum were used to treat HFOB1.19 with or without miR-140-5p mimic. The expression of osteogenic proteins in each group was observed, and the role of miR-140-5p/BCL2L1 in apoptosis and autophagy of HFOB1.19 was studied, along with the effect of Bushen Jianpi Huoxue Decoction on these processes. As indicated by the dual luciferase assay, miR-140-5p bound to BCL2L1. Flow cytometry and Western blot showed that miR-140-5p promoted apoptosis and inhibited autophagy in HFOB1.19. After intervention with high, medium, and low doses of Bushen Jianpi Huoxue Decoction-medicated serum, compared with the miR-140-5p NC group, the expression of osteocalcin(OCN), osteopontin(OPN), Runt-related transcription factor 2(RUNX2), and transforming growth factor beta 1(TGF-β1) decreased in the miR-140-5p mimic group, while the expression of bone morphogenetic protein 2(BMP2) showed no significant difference under high-dose intervention. Therefore, miR-140-5p/BCL2L1 can promote apoptosis and inhibit autophagy in HFOB1.19. Bushen Jianpi Huoxue Decoction can affect the osteogenic effect of miR-140-5p through BMP2.
MicroRNAs/metabolism* ; Autophagy/drug effects* ; Apoptosis/drug effects* ; Humans ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Cell Line ; bcl-X Protein/metabolism* ; Osteoblasts/metabolism* ; Rats ; Osteoporosis/physiopathology* ; Male ; Rats, Sprague-Dawley ; Osteogenesis/drug effects*

OBJECTIVE To investigate the potential mechanism of berberine improving diabetes mellitus type 2 （T2DM） combined with metabolic-associated fatty liver disease （MAFLD） by regulating ceramide. METHODS Thirty-two db/db mice with blood glucose levels＞11.1 mmol/L （T2DM model） were divided into four groups： model group， berberine low- and high-dose groups [100， 200 mg/（kg·d）] and metformin group [300 mg/（kg·d）]， with 8 mice in each group. Additionally， 8 wt/wt mice were selected as the normal control group. Mice in each group were administered the corresponding drug solution or water by gavage once daily for a continuous period of 6 weeks. During the experiment， the body weight of the mice was monitored， and the differences in final body weight were analyzed. After the last administration， the body shape of the mice in each group was observed， and their fasting blood glucose （FBG） and the lipid indicators [total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）] were measured. Fasting serum insulin （FINS） levels were also measured， and the insulin resistance index HOMA-IR） and insulin sensitivity index （ISI） were calculated. Liver weight， liver index and serum liver function indicators [alanine transaminase （ALT）， aspartate transaminase（AST）] were assessed， and hepatic histopathological changes were observed. Additionally， the expression of fatty acid synthesis-related proteins [sterol regulatory element-binding protein 1 （SREBP1）， fatty acid synthase （FASN）， acetyl-CoA carboxylase 1 （ACC1）] in liver tissue was examined. Serum samples from the normal control group， model group， and berberine high-dose group were collected for non-targeted lipidomics analysis and validation. RESULTS Compared with the model group， the pathological changes， including disordered liver tissue cell arrangement and lipid vacuoles， were significantly improved in the berberine low- and high-dose groups. The significant decreases or down-regulations were observed in body weight in the last week， as well as FBG， TC， TG， and LDL-C levels， HOMA-IR （except for the berberine low-dose group）， liver weight， liver index， AST and ALT levels， and protein expressions of SREBP1， FASN and ACC1. Additionally， HDL-C levels， FINS （except for the berberine high-dose group）， and ISI （except for the berberine low-dose group） were significantly increased （P＜0.05）. A total of 21 potential differential metabolites， including multiple types of ceramides， were identified； these metabolites were primarily enriched in sphingolipid metabolism and glycerophospholipid metabolism pathways. Verification experiments confirmed that high-dose berberine significantly reduced the serum content of ceramide in model mice （P＜0.05）. CONCLUSIONS Berberine reduces insulin resistance， improves liver damage and lipid accumulation in the T2DM combined with MAFLD mice， and these effects may be related to the reduction of ceramide content.

Objective:To analyze the differences in emergency rescue service capacities between county-level hospitals in Zhejiang and Jiangsu provinces, and propose targeted improvement suggestions.Methods:Cluster sampling was employed, with representative county-level hospitals recommended by provincial hospital alliances in Zhejiang and Jiangsu. Emergency departments voluntarily submitted data, resulting in 24 hospitals from Zhejiang and 34 from Jiangsu. Data were collected through the China County-Level Hospital Emergency Service Capability Evaluation System. Differences between provinces were analyzed. Spearman correlation analysis explored relationships between multidimensional indicators, and multivariate logistic regression identified factors influencing hospital grade B++ and above.Results:In terms of department scale, Jiangsu had a larger emergency department area (4 853 m 2vs. 1 927 m 2, P<0.001), more beds of comprehensive inpatient wards in the emergency department (25.5 beds vs. 5.5 beds, P=0.011), and higher scores for the ratio of emergency department area to beds (4.8 vs. 3.4, P=0.005) than Zhejiang. In terms of staffing, Jiangsu had a higher proportion of doctors with master's degrees or above (13.8% vs. 0.0%, P<0.001), a higher proportion of frontline emergency medical staff with over three years of clinical experience (100.0% vs. 91.5%, P=0.001), and more doctors (19 vs. 15, P=0.039) and nurses (46 vs. 32, P=0.039). In terms of quality and safety and medical service capacity, Zhejiang had a higher severe trauma resuscitation success rate (92.9% vs. 83.75%, P=0.003), annual emergency surgery volume (1 002 vs. 428, P=0.015), and number of emergency surgery procedures (125 vs. 42, P=0.027), but Jiangsu had a shorter emergency room stay time (87.5 min vs. 136.2 min, P=0.029). In terms of informatization, Zhejiang outperformed Jiangsu in all indicators, especially in patient information interconnection and sharing (100.0% vs. 82.4%, P=0.030) and in-hospital diagnosis and treatment timeline (91.7% vs. 73.5%, P=0.043). Correlation analysis showed that the total specialty scale score was significantly positively correlated with the in-hospital emergency rescue service capacity score ( r=0.576) and the staffing score ( r=0.455). The total evaluation score was significantly positively correlated with the informatization total score ( r=0.397) and the pre-hospital emergency rescue service capacity score ( r=0.322). Binary Logistic regression analysis showed that the emergency rescue service capacity score was significantly positively correlated with hospital grade ( B=1.431, P=0.03, OR=4.185, 95% CI:1.152-15.205). For every 1-unit increase in the emergency department area ( B=0.002, P=0.05), the probability of a hospital being upgraded to B++ or above increased by 0.2% ( OR=1.002, 95% CI:1.000-1.004). Conclusions:Both provinces exhibit distinct advantages in emergency department development. Departmental scale and configuration significantly impact emergency service capabilities, while staffing and quality management constitute core elements for improvement. Informatization construction notably enhances emergency service efficiency and quality.

Objective To investigate the potential mechanism of miR-21-5p in alleviating cerebral ischemia-reperfusion injury by targeting STAT3.Methods The HT22 cells were induced by OGD/R to construct a cell model of cerebral ischemia reperfusion injury.The expression of miR-21-5p was detected by RT-qPCR.The CCK-8 assay,TUNEL staining and flow cytometry were respectively used to detect the cell viability and apoptosis.ELISA assay was used to determine the contents of inflammatory factors IL-6,IL-10 and TNF-α in the cell supernatant.Western blot was used to detect the expression levels of p-STAT3/STAT3,Cleaved-Caspase-3,Bax and Bcl-2 proteins.The TargetScan database was used to predict the binding sites of miR-21-5p and STAT3.The dual-luciferase reporter gene assay was used to verify the targeting relationship between miR-21-5p and STAT3.Results The relative expression level of miR-21-5p was down-regulated in HT22 cells which induced by OGD/R(P<0.001).The cell viability(P<0.0001)was decreased and the apoptosis rate(P<0.001)was increased in OGD/R induced-HT22 cells.The contents of pro-inflammatory factors IL-6(P<0.001)and TNF-α(P<0.001)was increased,while the content of anti-inflammatory factor IL-10(P<0.001)decreased.After transfection with miR-21-5p mimic,cell viability was enhanced,apoptosis rate was reduced and neuroinflammation was inhibited.MiR-21-5p could target and bind to STAT3.After miR-21-5p inhibitor transfection,cell viability decreased,apoptosis was promoted,and neuroinflammation occurred;STAT3 inhibitor Stattic could reverse the effect of miR-21-5p inhibitor.Conclusion MiR-21-5p could specifically bind to STAT3 and reduce the neuroinflammation and apoptosis of OGD/R induced-HT22 cells.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Paraplegia caused by spinal cord injury is a serious neurological complication, for which surgery is currently the main treatment method. Due to different surgical approaches, patients are usually expected to maintain a passive prone position for a long time or switch between the supine and prone positions. Affected by multiple factors such as neurogenic sensory disorders, pathological changes in muscle tone and operative duration, the risk of intraoperative acquired pressure injury (IAPI) is significantly increased. Current clinical prevention strategies for IAPI in these patients predominantly focus on localized pressure relief during positioning, lacking systematic, standardized comprehensive prevention protocols or evidence-based guidelines. To address it, Department of Nursing, Orthopedics Branch, China International Exchange and Promotive Association for Medical and Health Care, Spinal Trauma Professional Committee, Orthopedics Branch, Chinese Medical Doctor Association, Nursing Group of Spine and Spinal Cord Professional Committee of Chinese Association of Rehabilitation Medicine organized experts in relevant fields to formulate Guideline for the prevention of intraoperative acquired pressure injury in paraplegic patients with spinal cord injury ( version 2025), based on evidence-based medical evidence and latest research results and clinical practice at home and abroad. Eleven recommendations were put forward from the aspects of preoperative risk assessment, intraoperative prevention strategies, postoperative handover and monitoring, and supportive mechanisms for IAPI prevention, aiming to standardize the prevention measures and management strategies of IAPI in paraplegic patients with spinal cord injury and accelerate the recovery of patients and improve the therapeutic effect.

Objective To explore the application effect of the Mini-CEX evaluation model based on the OBE concept in the clinical Practice teaching of neurology.Methods We Selected 100 students who will Practice in the Department of Neurology from 2022 to 2023 as the research objects,and divided them into the experimental group(n=50)and the control group(n=50).Under the guidance of the OBE concept,the experimental group was guided by learning outcomes,refined the teaching objectives,and applied the Mini-CEX evaluation mode for evaluation and feedback.In contrast,the control group adopted the traditional teaching mode.Combined with the observation data,we analyzed and compared the data of various indicators of the two groups of students at the beginning and end of the internship.Results At the end of the internship,the scores of clinical consultation,Physical examination,humanistic medicine,clinical diagnosis,health consultation,organizational effect,and overall evaluation of the experimental group were significantly improved and were higher than those of the control group.After the Practice,in terms of skill test scores,the experimental group scored higher than the control group,the difference was statistically significant(P<0.05),and the experimental group also scored higher in satisfaction evaluation than the control group.Conclusion The Mini-CEX evaluation teaching model based on the concept of OBE is applied to the clinical practice teaching of the neurology department,which can enhance the training effect of students'clinical practice skills.

Objective To study the in vitro expression of three phenylalanine hydroxylase(PAH)mutants(p.R243Q,p.R241C,and p.Y356X)and determine their pathogenicity.Methods Bioinformatics techniques were used to predict the impact of PAH mutants on the structure and function of PAH protein.Corresponding mutant plasmids of PAH were constructed and expressed in HEK293T cells.Quantitative reverse transcription polymerase chain reaction was used to measure the mRNA expression levels of the three PAH mutants,and their protein levels were assessed using Western blot and enzyme-linked immunosorbent assay.Results Bioinformatics analysis predicted that all three mutants were pathogenic.The mRNA expression levels of the p.R243Q and p.R241C mutants in HEK293T cells were similar to the mRNA expression level of the wild-type control(P>0.05),while the mRNA expression level of the p.Y356X mutant significantly decreased(P<0.05).The PAH protein expression levels of all three mutants were significantly reduced compared to the wild-type control(P<0.05).The extracellular concentration of PAH protein was reduced in the p.R241C and p.Y356X mutants compared to the wild-type control(P<0.05),while there was no significant difference between the p.R243Q mutant and the wild type control(P>0.05).Conclusions p.R243Q,p.R241C and p.Y356X mutants lead to reduced expression levels of PAH protein in eukaryotic cells,with p.R241C and p.Y356X mutants also affecting the function of PAH protein.These three PAH mutants are to be pathogenic.[Chinese Journal of Contemporary Pediatrics,2024,26(2):188-193]