Among chronic hepatitis B patients undergoing long-term treatment with nucleos（t）ide analogues （NAs）， approximately 10%—20% can achieve a low level of <100 IU/mL for hepatitis B surface antigen （HBsAg）. These patients have the advantage to achieve clinical cure （HBsAg clearance） and are currently a key focus for treatment discontinuation and combination treatment strategies. As for the selection of clinical management strategies， the NAs discontinuation strategy， based on the “immune reactivation” hypothesis， may lead to HBsAg clearance in some patients， especially among Caucasians， but the risk of recurrence after discontinuation cannot be neglected. The treatment strategies based on pegylated interferon-α exhibit a higher potential for active HBsAg clearance， and some novel immunomodulators have also shown preliminary efficacy. Overall， for patients with HBsAg <100 IU/mL previously treated with NAs， treatment discontinuation or active combination treatment should be carefully assessed based on individual risk-benefit profiles. In the future， it is essential to incorporate more refined biomarkers for precise stratification and explore novel combination regimens with finite treatment courses that are safe and highly effective， in order to help more patients achieve clinical cure and reduce long-term risks of liver disease.

BACKGROUND:Cervical instability is a common orthopedic disease in young and middle-aged people,and is the early manifestation of cervical spondylosis,which has a great impact on the quality of life of patients.Therefore,early diagnosis of cervical instability to implement early intervention has positive clinical and social significance.OBJECTIVE:The clinical prediction model of cervical instability in young and middle-aged people was constructed based on machine learning to realize early screening of cervical instability in young and middle-aged people before X-ray examination.METHODS:From September 2022 to October 2023,155 young and middle-aged adults with cervical instability and 88 with non-cervical instability recruited through recruitment advertisements and spinal department outpatient of Wangjing Hospital,China Academy of Chinese Medical Sciences were selected as research subjects.The research subjects'general information,living and working habits,discomfort symptoms,visual analog scale score,Neck Disability Index,and 36-ltem Short Form Health Survey were collected on site based on questionnaires.The above information was used as predictive factors.After screening,six machine learning algorithms of Support Vector Machine,LightGBM,RandomForest,Logistic,AdaBoost,and XGBClassifier were used to train the model by ten-fold cross-validation method,and the clinical prediction model of cervical instability was constructed.Area under the curve was used as the main evaluation index.Univariate analysis was performed on the predictors,and SHAP method was used to rank the importance of the predictors.Correlation heat maps were used to show the degree of linear correlation between the predictors and the cervical instability.RESULTS AND CONCLUSION:(1)Among the six machine learning models,RandomForest model was chosen as the final prediction model,including nine predictors,such as age,body mass index,neck circumference/neck length,visual analog scale score,Neck Disability Index,bodily pain,general health,vitality,and mental health,area under the curve=0.725 4,and the calibration degree was good.It could be used as a reference tool for early screening of cervical instability in young and middle-aged people.(2)There were significant differences in age,visual analog scale score,Neck Disability Index,bodily pain,general health,and vitality between the two groups(P＜0.05).(3)The order of importance of predictors was age,Neck Disability Index,visual analog scale score,general health,body mass index,vitality,bodily pain,neck circumference/neck length,mental health,among which age,visual analog scale score,Neck Disability Index were positively correlated with cervical instability,while general health,body mass index,vitality,bodily pain,neck circumference/neck length,and mental health were negatively correlated with cervical instability.

Objective:To determine the epidemiological characteristics of human bocavirus (HBoV) in children with acute respiratory infections (ARI) in Bengbu City, Anhui Province, in 2024.Methods:Nasopharyngeal swab samples were collected from 269 children with ARI in Bengbu City, Anhui Province, in 2024. Seventeen respiratory pathogens were screened using quantitative fluorescence PCR. For HBoV-positive samples, the VP1/VP2 structural gene fragments of HBoV were amplified and sequenced for genetic evolutionary analysis.Results:Among the 269 nasopharyngeal swab samples from children with ARI, the overall detection rate of respiratory pathogens was 48.33% (103/269). The top three pathogens with the highest detection rates were: Influenza A virus (FluA): 10.04% (27/269), Respiratory syncytial virus (RSV): 8.18% (22/269), Human bocavirus (HBoV): 7.43% (20/269). The age distribution of HBoV-infected children showed that the detection rate was highest in the 0-2 years age group (50%, 10/20), followed by the 3-5 years age group (25%, 5/20) and the over 6 years age group (25%, 5/20). However, there was no statistically significant difference in viral detection rates among the age groups. Genetic evolutionary analysis based on VP1/VP2 revealed that all 13 HBoV strains were of the HBoV-1 genotype.Conclusions:HBoV is one of the major pathogens causing ARI in children in Bengbu City, Anhui Province, in 2024, with HBoV-1 being the predominant genotype. Additionally, infants aged 0-2 years are the most susceptible population to HBoV infection.

Objective To investigate the correlation between cognitive impairment and depression in elderly patients with type 2 diabetes mellitus(T2DM).Methods Based on China Health and Retirement Longitudinal Study in 2011,totally 521 elderly T2DM patients were enrolled,and according to the results of minimum mental state examination(MMSE)and their education lev-els,they were divided into a cognitively impaired group(437 cases)and a cognitively normal group(84 cases).Center for ED Epidemiological Survey Depression Scale was used to assess the depression symptoms.The correlation between cognitive impairment and depression was analyzed.Results Compared with the cognitively normal group,the cognitively impaired group had signifi-cantly advanced age(71.98±5.29 year vs 69.42±3.98 year,P=0.000),larger proportion of de-pression(60.6％vs 35.7％,P=0.000),and higher C-reactive protein level(5.09±12.80 mg/L vs 2.25±2.43 mg/L,P=0.000),and obviously lower ratios of being married(72.1％vs 86.9％,P=0.001)and having cardiovascular disease(20.1％vs 32.1％,P=0.010),and decreased estimated glomerular filtration rate[77.15±15.88 ml/(min·1.73 m2)vs 81.91±13.55 ml/(min·1.73 m2),P=0.001].Multivariate logistic regression analysis showed that cognitive impairment was an independent risk factor for the development of depression in elderly T2DM patients(OR=3.44,95％CI:1.89-6.27,P＜0.01).ROC curve analysis indicated that the AUC value of MMSE score in predicting depression in elderly T2DM patients was 0.669(95％CI:0.626-0.709,P＜0.01).The direct effect of cognitive impairment and the mediating effect of loneliness on depression in elderly T2DM patients accounted for 72.22％and 27.78％of the total effect,respectively.Conclu-sion Cognitive impairment is associated with the presence of depression in elderly T2DM pa-tients,and loneliness plays a mediating role.

Building a scientific and reasonable performance-based salary distribution system is a key measure for public hospitals to adapt to new policies and environments,enhance operational management capabilities,and improve medical service levels.Based on the high-quality development of public hospitals,combined with medical reform policies and hospital development needs,it analyzes the current situation and problems of performance-based salary distribution in public hospitals,and proposes reform and optimization suggestions to promote high-quality development of public hospitals.

Objective: To analyze the temporal changes in lipid levels in patients following acute pancreatitis(AP) and explore the factors associated with post-AP serum triglyceride( TG) level changes. Methods: Patients diag- nosed with AP were included in this study. Clinical data were collected retrospectively , and lipid profile data from follow-up visits after discharge were tracked. Kaplan-Meier(K-M) curves were used to stratify follow-up duration ,iodine content detection. Thyroid volume was measured using a fully digital ultrasound imaging system , and goiter prevalence was calculated. Results: A total of 141 patients with 306 follow⁃up visits were included. Spearman correlation analysis showed a mild increase in lipid levels over time post⁃discharge : TG( r = 0. 159 , P = 0. 005) , total cholesterol(TC)( r = 0. 231 , P < 0. 000 1) , high⁃density lipoprotein cholesterol( HDL⁃C) ( r = 0. 181 , P = 0. 002) , and apolipoproteinA1 ( ApoA1) ( r = 0. 371 , P <0. 000 1) . In the univariate linear mixed model , male gender(β = 0. 160 ,P = 0. 007) , body mass index(BMI) (β= 0. 017 , P = 0. 007) , diabetes history(β = 0. 138 , P = 0. 030) , smoking history(β = 0. 166 ,P = 0. 004) , and recurrent AP(β = 0. 119 , P = 0. 029) were significantly associated with Lg(TG) levels (P < 0. 05) . In the multivariate model , BMI( β = 0. 019 , P = 0. 042) , smoking history ( β = 0. 155 , P = 0. 049 ) , and recurrent AP( β =0. 148 , P = 0. 032) remained significantly positively correlated with changes in Lg(TG) levels after AP , albeit with a low correlation strength (r < 0. 200) . Conclusion Lipid levels , including TG , TC , HDL⁃C and ApoA1 , tend to increase over time in AP patients after discharge , with this trend being more pronounced in those with hypertriglyceridemic acute pancreatitis. Post⁃AP TG levels are significantly influenced by BMI at the time of onset , smoking history and recurrent AP.

Taxifolin (TAX) is a natural compound known for its liver protection effect, but the mechanism remains unknown. Phosphorylated proteomics analyses discovered that the phosphorylation level of NDRG1 at T328 was a key event of TAX-improved liver fibrosis. We established models with NDRG1 knockout (KO) in vivo and in vitro, demonstrating that NDRG1 KO attenuated the development of hepatocyte injury, and combining NDRG1 KO and TAX administration did not result in a reduction in protection against liver injury. Cellular thermal shift assay and surface plasma resonance analysis showed that TAX directly binds to NDRG1 rather than its upstream kinase, subsequently demonstrating that TAX regulated phosphorylation of NDRG1 at T328 through binding to its C289 site. NDRG1 T328A (phosphorylated mutation) and T328E (mimic phosphorylation) in vivo and in vitro confirmed that pNDRG1_T328 exacerbates hepatocyte injury along with DNA damage, inflammatory response, and apoptosis, thereby contributing to hepatic stellate cells (HSCs) activation. In contrast, TAX can inhibit the above pathological abnormalities and block hepatocyte injury-triggered HSCs activation and fibrosis. Overall, TAX is a potent liver protection drug primarily targeting NDRG1 and inhibiting pNDRG1_T328 in hepatocytes.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

BACKGROUND:Chronic myofascial trigger points can identify differential metabolite changes through non targeted metabolomics techniques,helping to understand and further explore the pathophysiological processes and pathogenesis of chronic myofascial trigger points from the perspective of endogenous small molecule metabolites. OBJECTIVE:To investigate potential biomarkers and related metabolic pathways based on urine metabolomics in the rat model of chronic myofascial trigger points. METHODS:Sixteen Sprague-Dawley rats were randomly divided into a model group and a normal group.The model group was used to establish a chronic myofascial trigger point animal model by combining blunt hitting with centrifugal exercise(treadmill slope:-16°,running speed:16 m/min,training time:90 minutes each),once a week for 8 continuous weeks,with 4 weeks off.After 12 weeks of modeling,the metabolic cage method was used to collect urine from rats at 24 hours after modeling.Liquid chromatography-mass spectrometry non-targeted metabolomics technology was used to detect metabolic profiles in the urine samples,screen common differential metabolites,and conduct bioinformatics analysis. RESULTS AND CONCLUSION:Compared with the normal group,there were 32 differential metabolic markers in the model group,of which 21 were upregulated and 11 were downregulated.A total of 14 differential metabolites were identified as potential biomarkers based on the value of variable important in projection greater than 3.The enrichment analysis of the Kyoto Encyclopedia of Genes and Genomes indicated that the formation of chronic myofascial trigger points is closely related to metabolic pathways such as primary bile acid biosynthesis and arachidonic acid metabolism.

Objective:To investigate the relationship between serum histone deacetylase-3(HDAC3)and the severity of endometriosis(EMT).Methods:The clinical data of 109 EMT patients admitted to the Affiliated Hospi-tal of Inner Mongolia Medical University from June 1,2021 to November 30,2023 were extracted and analyzed.Pa-tients were divided into stage Ⅰ/Ⅱ group(56 cases)and stage Ⅲ/Ⅳ group(53 cases)according to the revised EMT staging criteria of the American Society for Reproductive Medicine(ASRM).Univariate analysis and binary Logistic regression were used to analyze the correlation factors between serum HDAC3 and the severity of EMT patients,and receiver operating characteristic(ROC)curve was plotted and the area under the curve(AUC)was calculated to evaluate the diagnostic value of stage Ⅲ/Ⅳ EMT.Results:The levels of serum HDAC3,human epididymal protein 4(HE4),serum carbohydrate antigen 125(CA125),vascular endothelial growth factor(VEGF),platelet to lymphocyte count ratio(PLR),and fibrinogen(Fib)in stage Ⅲ/Ⅳ patients were significantly higher than those in stage Ⅰ/Ⅱ patients,with statistical significant differences(P＜0.05).Binary Logistic regres-sion analysis showed that serum HDAC3,CA125,and VEGF were related factors affecting stage Ⅲ/Ⅳ EMT pa-tients(OR＞1,P＜0.05).The ROC curve showed that the AUC of serum HDAC3,CA125,and VEGF for phaseⅢ/Ⅳ EMT evaluation were 0.898,0.701,and 0.795,respectively,and the AUC for combined detection evaluation was 0.956.Conclusions:The serum HDAC3 level is related to the severity of EMT patients,and gradually increa-ses with the increase of EMT staging.HDAC3 combined with CA125 and VEGF has a high preoperative evaluation value for stage Ⅲ/Ⅳ EMT patients.