ObjectiveTo analyze the clinicopathological features of patients with comorbidities of chronic hepatitis B （CHB） and steatotic liver disease （SLD）， to investigate the impact of hyperglycemia on the risk of liver fibrosis and end-stage liver diseases （ESLD）， and to provide a basis for the clinical management of such population. MethodsA total of 668 adult patients with CHB-SLD confirmed by liver biopsy in The Fifth Medical Center of Chinese PLA General Hospital from January 2011 to December 2019 were enrolled， and a retrospective cohort was established with the time of liver biopsy as the baseline and the onset of ESLD as the endpoint. All patients were followed up to March 31， 2024. Propensity score matching （PSM） was performed at a ratio of 1∶4 to balance baseline features between groups， resulting in 82 patients in the hyperglycemia group and 281 in the non-hyperglycemia group. The two groups were compared in terms of metabolic profiles， laboratory markers， and histopathological features. The Mann-Whitney U test was used for comparison of non-normally distributed quantitative data between two groups. The chi-square test or Fisher exact test was used for comparison of categorical data between two groups. A multivariate Logistic regression analysis was used to investigate the influencing factors for advanced fibrosis （AF）， and the Kaplan-Meier survival analysis and the Cox proportional-hazards regression model were used to determine the influencing factors for the development of ESLD. ResultsCompared with the non-hyperglycemia group， the hyperglycemia group had a significantly higher number of factors for metabolic disorders， a significantly higher degree of hepatic steatosis， and a significantly higher detection rate of AF （all P<0.05）. The multivariate Logistic regression analysis showed that hyperglycemia was a risk factor for AF （odds ratio = 1.753， 95% confidence interval ［CI］： 1.017　—　3.023， P=0.043）. The survival analysis showed that hyperglycemia increased the risk of ESLD （χ²=4.340， P=0.037）. The multivariate Cox regression analysis confirmed that hyperglycemia was a significant metabolic risk factor for ESLD in patients with AF （adjusted hazard ratio=3.208， 95%CI： 1.201　—　8.568， P=0.020）. ConclusionHyperglycemia can increase the risk of AF and ESLD in CHB-SLD patients. Clinical monitoring and active management should be strengthened for patients who have already developed AF and hyperglycemia.

Objective: To investigate the efficacy of magnesium-strontium co-doped hydroxyapatite mineralized collagen (MSHA/Col) in improving the bone repair microenvironment and enhancing bone regeneration capacity, providing a strategy to address the insufficient biomimetic composition and limited bioactivity of traditional hydroxyapatite mineralized collagen (HA/Col) scaffolds. Methods: A high-molecular-weight polyacrylic acid-stabilized amorphous calcium magnesium strontium phosphate precursor (HPAA/ACMSP) was prepared. Its morphology and elemental distribution were characterized by high-resolution transmission electron microscopy (TEM) and energy-dispersive spectroscopy. Recombinant collagen sponge blocks were immersed in the HPAA/ACMSP mineralization solution. Magnesium-strontium co-doped hydroxyapatite was induced to deposit within collagen fibers (experimental group: MSHA/Col; control group: HA/Col). The morphological characteristics of MSHA/Col were observed using scanning electron microscopy (SEM). Its crystal structure and chemical composition were analyzed by X-ray diffraction and Fourier transform infrared spectroscopy, respectively. The mineral phase content was evaluated by thermogravimetric analysis. The scaffold's porosity, ion release, and in vitro degradation performance were also determined. For cytological experiments, CCK-8 assay, live/dead cell staining, alkaline phosphatase staining, alizarin red S staining, RT-qPCR, and western blotting were used to evaluate the effects of the MSHA/Col scaffold on the proliferation, viability, early osteogenic differentiation activity, late mineralization capacity, and gene and protein expression levels of key osteogenic markers [runt-related transcription factor 2 (Runx2), collagen type Ⅰ (Col-Ⅰ), osteopontin (Opn), and osteocalcin (Ocn)] in mouse embryonic osteoblast precursor cells (MC3T3-E1). Results: HPAA/ACMSP appeared as amorphous spherical nanoparticles under TEM, with energy spectrum analysis showing uniform distribution of carbon, oxygen, calcium, phosphorus, magnesium, and strontium elements. SEM results of MSHA/Col indicated successful complete intrafibrillar mineralization. Elemental analysis showed the mass fractions of magnesium and strontium were 0.72% (matching the magnesium content in natural bone) and 2.89%, respectively. X-ray diffraction revealed characteristic peaks of hydroxyapatite crystals (25.86°, 31°-34°). Infrared spectroscopy results showed characteristic absorption peaks for both collagen and hydroxyapatite. Thermogravimetric analysis indicated a mineral phase content of 78.29% in the material. The scaffold porosity was 91.6% ± 1.1%, close to the level of natural bone tissue. Ion release curves demonstrated sustained release behavior for both magnesium and strontium ions. The in vitro degradation rate matched the ingrowth rate of new bone tissue. Cytological experiments showed that MSHA/Col significantly promoted MC3T3-E1 cell proliferation (130% increase in activity at 72 h, P < 0.001). MSHA/Col exhibited excellent efficacy in promoting osteogenic differentiation, significantly upregulating the expression of osteogenesis-related genes and proteins (Runx2, Col-Ⅰ, Opn, Ocn) (P < 0.01). Conclusion The MSHA/Col scaffold achieves dual biomimicry of natural bone in both composition and structure, and effectively promotes osteogenic differentiation at the genetic and protein levels, breaking through the functional limitations of pure hydroxyapatite mineralized collagen. This provides a new strategy for the development of functional bone repair materials

Objective: To fabricate a hydrogel loaded with inositol hexaphosphate-zinc and preliminarily evaluate its performance in self-mineralization and osteoinduction, thereby providing a theoretical basis for the development of bone regeneration materials. Methods: The hydrogel framework (designated DF0) was formed by copolymerizing methacryloyloxyethyltrimethylammonium chloride and four-armed poly(ethylene glycol) acrylate, followed by sequentially loading inositol hexaphosphate anions via electrostatic interaction and zinc ions via chelation. The hydrogel loaded only with inositol hexaphosphate anions was named DF1, while the co-loaded hydrogel was named DF2. The self-mineralization efficacy of the DF0 , DF1 and DF2 hydrogels was characterized using scanning electron microscopy, transmission electron microscopy (TEM), energy dispersive spectroscopy (EDS), and selected area electron diffraction (SAED). The biocompatibility was assessed via live/dead cell staining and a CCK-8 assay. The osteoinductive capacity of the DF0 , DF1 and DF2 hydrogels on MC3T3-E1 cells was assessed via alkaline phosphatase (ALP) and Alizarin Red S (ARS) staining. In the aforementioned cell experiments, cells cultured in standard medium served as the control group Results: The DF0, DF1, and DF2 hydrogels were successfully synthesized. Notably, DF1 and DF2 exhibited distinct self-mineralization within 6 days. Results from TEM, EDS, and SAED confirmed that the mineralization products were amorphous calcium phosphate in group DF1, and amorphous calciumzinc phosphate in group DF2. Biocompatibility tests revealed that none of the hydrogels (DF0, DF1, and DF2) adversely affected cell viability or proliferation. In osteogenic induction experiments, both ALP and ARS staining were intensified in the DF1 and DF2 groups, with the most profound staining observed in the DF2 group. Conclusion The developed inositol hexaphosphate-zinc hydrogel (DF2) demonstrates the dual capacity to generate calcium-phosphate compounds through self-mineralization while exhibiting excellent osteoinductive properties. This biocompatible, dual-promoting osteogenic hydrogel presents a novel strategy for bone regeneration.

Over the past two decades, genome-wide association study(GWAS) has identified numerous genetic variants and loci associated with heritable diseases. With the gradual maturation and saturation of GWAS methodologies, transcriptome-wide association study(TWAS) offers a novel perspective by linkinggenetic phenotypes to gene expression levels. By integrating TWAS with other multi-omics analyses, researchers can gain a deeper understanding of heritable diseases. This article provides an overview of recent groundbreaking and representative TWAS methods and tools, analyzes their strengths and limitations, and discusses future trends in TWAS development.

Objective: To investigate the status and influencing factors of latent tuberculosis infection (LTBI) among enterprise employees in Wenzhou City, Zhejiang Province, so as to provide evidence for optimizing tuberculosis prevention and control strategies in enterprises. Methods: From August 2024 to September 2025, a convenience sampling method was used to select employees from 26 enterprises in Wenzhou City as the study participants. Demographic information, enterprise scale, and industry type were collected by reviewing enterprise employee management files. Interferon-gamma release assays were used to detect Mycobacterium tuberculosis infection and screen for LTBI. Factors affecting LTBI among enterprise employees were identified using a multivariable logistic regression model. Results: A total of 6 476 participants were surveyed, including 3 674 males (56.73%) and 2 802 females (43.27%). The median age was 37.00 (interquartile range, 20.00) years. A total of 994 cases of LTBI were detected, with a detection rate of 15.35%. Multivariable logistic regression analysis showed that male (OR=1.397, 95%CI: 1.211-1.612), age ≥45 years (45-<60 years, OR=1.919, 95%CI: 1.649-2.234; ≥60 years, OR=4.425, 95%CI: 3.170-6.177), household registration outside Zhejiang Province (OR=1.928, 95%CI: 1.577-2.357), employment in small or medium-sized enterprises (medium-sized, OR=1.663, 95%CI: 1.392-1.988; small-sized, OR=1.665, 95%CI: 1.358-2.040), and working in the manufacturing industry (OR=1.799, 95%CI: 1.147-2.822) were associated with a higher risk of LTBI among enterprise employees. Conclusions The detection rate of LTBI among enterprise employees in Wenzhou City was relatively low. Male employees, those aged ≥45 years, those with household registration outside Zhejiang Province, those working in small or medium-sized enterprises, and those in the manufacturing industry were identified as high-risk populations for LTBI.

Objective:To construct an evaluation index system for the development of compact county medical communities, so as to provide evaluation tools for promoting the high-quality development of county medical communities in China.Methods:Based on the evaluation criteria and monitoring system related policy documents for the construction of county medical communities released at the national level, an evaluation index system for compact county medical community development was constructed through policy text analysis and expert discussions. The system was applied to evaluate the construction of medical communities in Shaxian County of Fujian Province, A County of Shanxi Province, and B County of Yunnan Province.Results:The evaluation index system included four primary indicators: responsibility community, management community, service community, and interest community, covering 11 secondary indicators and 32 tertiary indicators. The evaluation results showed that the construction level of the compact county medical community in Shaxian County (91.3 points) was slightly higher than that of A County and B County (83.1 and 83.9 points), and its advantages were mainly reflected in management community and interest community. There was still room for improvement in the construction of compact medical communities in all three regions.Conclusions:The evaluation system in this study combined scientific rigor and practical guidance value. It could provide guidance for promoting the construction of compact county medical communities in various regions of China, and provide a basis for relevant policy formulation and optimization.

Enhancing the antimicrobial stewardship level is an important issue in curbing the development and spread of microbial resistance as well as maintaining the health of the people.This study reviews the current situa-tion of antimicrobial application both in China and abroad,sorts out the history of antimicrobial management,finds out the existing problems in the current work,and puts forward measures including attaching importance to patho-gen detection,improving the infection control strategy for antimicrobial-resistant organisms,establishing a multile-vel service mechanism,forming a multidisciplinary core team,and perfecting the management system,so as to pro-vide references for actively responding to the challenges posed by antimicrobial resistance.

Objective:To explore the effect of CO2 fractional laser combined with glucocorticoid(GC)on T follicular helper cell(Tfh)and B cell subsets in patients with advanced vitiligo(VL).Methods:Patients with advanced VL(128 cases)who were treated in Affiliated Hospital of Hebei University of Engineering from August 2019 to March 2022 were selected as research objects,and divided into group A(64 cases,CO2 fractional laser combined with GC)and group B(64 cases,CO2 fractional laser)according to different treatment methods,clinical efficacy and safety of the two groups were compared.Another healthy subjects(64 cases)were selected as control group.Collected clinical data of the three groups of subjects for comparative analysis.Randomized walking model was used to evaluate the effect of CO2 fractional laser combined with GC on immune function and inflammatory response in patients with advanced VL.Results:Compared with group B,group A had a higher clinical total effective rate(P<0.05)and a lower probability of adverse reactions(P<0.05).After treatment,compared with control group,proportion of Tfh2 and Tfh17 in group A had no significant difference(P>0.05),while proportion of Tfh2 and Tfh17 in group B still had significant difference(P<0.05);compared with group B,proportion of Tfh2 in group A after treatment was higher(P<0.05),while proportion of Tfh17 type was lower(P<0.05).After treat-ment,compared with control group,proportion of memory transformed B cell in group B was still significantly different(P<0.05).After treatment,compared with control group,levels of IgA,IgE and IgM in group B were still significantly different(P<0.05);compared with group B,level of IgM in group A was higher after treatment(P<0.05).After treatment,compared with control group,levels of IL-21 and IL-1β in group B were still significantly different(P<0.05);compared with group B,level of IL-10 in group A after treatment was higher(P<0.05),while levels of IL-21 and IL-1β were lower(P<0.05).Evaluation results of random walking model showed that the improvement of immune function and inflammatory reaction in group A was better than that in group B.Conclusion:CO2 fractional laser combined with GC can improve the immune function and inflammatory reaction of patients with advanced VL better after treatment,and the probability of adverse reactions is lower.

Objective:To explore ultrasound technique in relationship between three common abnormal placentas in singleton pregnancy,which included battledore placenta,velamentous placenta and circumvallate placenta,and clinically adverse pregnancy outcome.Methods:A retrospective study was conducted on the case documents of 330 singleton patients with abnormal placenta admitted and confirmed at Beijing Friendship Hospital from January 2020 to December 2024.Based on the morphology of abnormal placenta and the location of the umbilical cord attached to the placenta,they were divided into battledore placenta group(126 cases),velamentous placenta group(139 cases),and circumvallate placenta group(65 cases).Additionally,197 pregnant women with normal placenta who gave birth during the same period were selected as the normal placenta group.The perinatal outcomes of abnormal placenta and normal placenta were compared.Results:The coincidence rates of ultrasound diagnosis for the three abnormal placentas,which included battledore placenta,velamentous placenta and circumvallate placenta,were respectively 40.5%(51/126),46.0%(64/139)and 58.5%(38/65).The proportions of adverse pregnancy outcomes caused by three abnormal placentas were respectively 49.2%,69.8%and 47.7%,and the differences were statistically significant(x2=12.857,53.575,7.258,P<0.005).The quantity of adverse pregnancy outcome caused by velamentous placenta was the largest,which included increase of cesarean section rate,premature birth,fetal growth restriction,placental adhesions,postpartum hemorrhage,and neonatal asphyxia.Conclusion:All three kinds of abnormal placenta can increase the risk of adverse perinatal outcomes.It is important to pay attention to the situation of placenta in ultrasound during pregnancy,so as to make early diagnosis,and guide clinical work to adopt effective measures,which can reduce the occurrence of adverse pregnancy outcomes.

Objective To compare the performance of 3 risk prediction models based on machine learning in predicting the risk of compassion fatigue among obstetrics and gynaecology nurses.Methods Using the convenience sampling method,1 323 obstetrics and gynaecology nurses from 11 tertiary hospitals in 9 cities were selected from December 2022 to March 2023,and were randomly divided into a training set and a test set according to 7∶3 ratio.Compassion Fatigue Scale,Five Facet Mindfulness Questionnaire and Emotional Intelligence Scale were used for the survey.A total of 3 types of risk prediction models were constructed for the factors affecting the compassion fatigue of obstetrics and gynaecology nurses,namely,Logistic Regression,Decision Tree,and Random Forest.The accuracy,precision,specificity,sensitivity,Fl score and AUC were used to compare the predictive performance of the 3 models.Results Finally 1 276 maternity nurses completed the survey.All 3 models showed that nature of employment,years of experience,mindfulness and emotional intelligence were independent risk factors for compassion fatigue in obstetrics and gynaecology nurses(P＜0.05).The results of model comparison showed that the accuracy of Logistic regression,decision tree and random forest were 0.804,0.806,0.796;the precision was 0.821,0.827,0.823;the sensitivity was 0.956,0.949,0.939;the Fl score was 0.883,0.884,0.877;the AUC was 0.704(95％CI:0.701～0.713),0.760(95％CI:0.751～0.771),0.742(95％CI:0.723～0.762)respectively.Conclusion The risk prediction model of factors affecting compassion fatigue among obstetrics and gynaecology nurses constructed by decision tree performed the best,and the predictive performance was better than that of the random forest and logistic regression models.The multi-model effectively predicts the risk of compassion fatigue in obstetrics and gynecology nurses,explores the interaction of influencing factors in multiple dimensions,and it can inform the early identification and prevention of compassion fatigue and the development of related interventions.