ObjectiveTo investigate the liver histopathological features of HBeAg-negative patients in the indeterminate phase of low-viral-load chronic hepatitis B virus （HBV） infection. MethodsA total of 271 patients with low-viral-load HBeAg-negative chronic HBV infection who underwent liver biopsy in Department of Infectious Diseases， Affiliated Hospital of Yan’an University， from September 2013 to June 2021 were enrolled as subjects， and the degree of liver injury was compared between patients based on age， sex， presence or absence of the family history of hepatitis B， HBsAg， and alanine aminotransferase （ALT） level. The chi-square test was used for comparison of categorical data between two groups. ResultsAmong the 271 patients with HBeAg-negative chronic HBV infection， 86 patients （31.73%） grade≥A2 liver inflammatory activity， 72 （26.57%） had a liver fibrosis stage of ive， and 112 （41.33%） had moderate or severe liver histological injury. The proportion of patients with grade≥A2 liver inflammatory activity in the patients with ALT>20 U/L was significantly higher than that in the patients with ALT≤20 U/L （χ²=3.938， P=0.047）. There were no significant differences in the proportion of patients with grade≥A2 liver inflammatory activity between the patients with different ages， sexes， family history of hepatitis B， HBsAg levels （all P>0.05），there were no significant differences in the proportion of patients with a liver fibrosis stage of ≥F2 between the patients with different ages， sexes， family history of hepatitis B， HBsAg， and ALT levels （all P>0.05）， and the stratified analysis of patients aged≤30 years and patients without the family history of hepatitis B showed no statistical significance between groups （all P>0.05）. There was no significant difference in the degree of liver histological injury between the patients with different ages， sexes， family history of hepatitis B， HBsAg， and ALT levels （all P>0.05）. ConclusionSignificant liver injury is observed in more than 40% of the patients with low-viral-load HBeAg-negative chronic HBV infection， and there is no significant difference in the degree of liver histological injury between the patients with different ages， sexes， family history of hepatitis B， HBsAg， and ALT levels. Even for the patients aged≤30 years who deny the family history of hepatitis B， there is still a considerable proportion of patients with liver injury， which should be taken seriously by clinicians.

ObjectiveFor prepubertal and urgently treated malignant tumor patients, ovarian tissue cryopreservation and transplantation represent more appropriate fertility preservation methods. Current clinical practices often involve freezing ovarian tissue with high concentrations of cryoprotectants (CPAs) and thawing with water baths. These processes lead to varying degrees of toxicity and devitrification damage to ovarian tissue. Therefore, this paper proposes optimized methods for vitrification of ovarian tissues based on sodium alginate hydrogel encapsulation and magnetic induction nanowarming technology. MethodsFirstly, the study investigated the effects of sodium alginate concentration, the sequence of hydrogel encapsulation and CPAs loading on vitrification efficiency of encapsulated ovarian tissue. Additionally, the capability of sodium alginate hydrogel encapsulation to reduce the required concentration of CPAs was validated. Secondly, a platform combining water bath and magnetic induction nanowarming was established to rewarm ovarian tissue under various concentrations of magnetic nanoparticles and magnetic field strengths. The post-warming follicle survival rate, antioxidant capacity, and ovarian tissue integrity were evaluated to assess the efficacy of the method. ResultsThe study found that ovarian tissue encapsulated with 2% sodium alginate hydrogel exhibited the highest follicle survival rate after vitrification. The method of loading CPAs prior to encapsulation proved more suitable for ovarian tissue cryopreservation, effectively reducing the required concentration of CPAs by 50%. A combination of 8 g/L Fe₃O₄ nanoparticles and an alternating magnetic field of 300 Gs showed optimal warming effectiveness for ovarian tissue. Combining water bath rewarming with magnetic induction nanowarming yielded the highest follicle survival rate, enhanced antioxidant capacity, and preserved tissue morphology. ConclusionSodium alginate hydrogel encapsulation of ovarian tissue reduces the concentration of CPAs required during the freezing process. The combination of magnetic induction nanowarming with water bath provides an efficient method ovarian tissue rewarming. This study offers novel approaches to optimize ovarian tissues vitrification.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

[Objective] To analyze the effects of different factors and red blood cell transfusion thresholds on the efficacy of neonatal red blood cell (RBC) transfusion, in order to provide more references for neonatal transfusions to better achieve rational and effective blood use. [Methods] A retrospective collection of data from 282 neonates who received RBC transfusions at our hospital from 2022 to 2023 was conducted, including birth weight, gestational age, number of blood transfusions, length of hospital stay, assisted ventilation during RBC transfusion, and laboratory test results before and after transfusion. SPSS software was used for statistical analysis to comprehensively analyze the impact of different factors on the efficacy of RBC transfusion in neonates. [Results] The results showed that the gestational age and weight of newborns at birth were negatively correlated with their length of hospital stay and the number of RBC transfusions during hospitalization. Newborns with younger gestational age and lower weight had longer hospital stays and more RBC transfusions during hospitalization. After administering RBCs according to the standard of 15 mL/kg, there was a statistically significant difference in the efficacy of RBC transfusion at different transfusion thresholds. In non-critical situations, RBC transfusions were ineffective when the pre-transfusion hemoglobin (Hb) level was >120 g/L. When the pre-transfusion Hb level was ≤70 g/L, RBC transfusions achieved higher efficacy in both critical and non-critical situations. [Conclusion] In critical situations, the group with pre-transfusion Hb values ≤ 70 g/L has the best RBC transfusion effect, while in non-critical situations, the group with pre-transfusion Hb levels between 81 and 90 g/L has the best RBC transfusion effect. Overall, the efficacy of RBC transfusion in non-critical situations is higher than that in critical situations.

Adipose tissue is a critical energy reservoir in animals and humans, with multifaceted roles in endocrine regulation, immune response, and providing mechanical protection. Based on anatomical location and functional characteristics, adipose tissue can be categorized into distinct types, including white adipose tissue (WAT), brown adipose tissue (BAT), beige adipose tissue, and pink adipose tissue. Traditionally, adipose tissue research has centered on its morphological and functional properties as a whole. However, with the advent of single-cell transcriptomics, a new level of complexity in adipose tissue has been unveiled, showing that even under identical conditions, cells of the same type may exhibit significant variation in morphology, structure, function, and gene expression——phenomena collectively referred to as cellular heterogeneity. Single-cell transcriptomics, including techniques like single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), enables in-depth analysis of the diversity and heterogeneity of adipocytes at the single-cell level. This high-resolution approach has not only deepened our understanding of adipocyte functionality but also facilitated the discovery of previously unidentified cell types and gene expression patterns that may play key roles in adipose tissue function. This review delves into the latest advances in the application of single-cell transcriptomics in elucidating the heterogeneity and diversity within adipose tissue, highlighting how these findings have redefined the understanding of cell subpopulations within different adipose depots. Moreover, the review explores how single-cell transcriptomic technologies have enabled the study of cellular communication pathways and differentiation trajectories among adipose cell subgroups. By mapping these interactions and differentiation processes, researchers gain insights into how distinct cellular subpopulations coordinate within adipose tissues, which is crucial for maintaining tissue homeostasis and function. Understanding these mechanisms is essential, as dysregulation in adipose cell interactions and differentiation underlies a range of metabolic disorders, including obesity and diabetes mellitus type 2. Furthermore, single-cell transcriptomics holds promising implications for identifying therapeutic targets; by pinpointing specific cell types and gene pathways involved in adipose tissue dysfunction, these technologies pave the way for developing targeted interventions aimed at modulating specific adipose subpopulations. In summary, this review provides a comprehensive analysis of the role of single-cell transcriptomic technologies in uncovering the heterogeneity and functional diversity of adipose tissues.

Objective To investigate the expression of ubiquitin binding enzyme E2T (UBE2T) in breast cancer (BRCA) and its role and mechanism in the prognosis of BRCA patients. Methods The Tumor Genome Atlas (TCGA) database was used to analyze UBE2T expression in BRCA tissues, and the effects of UBE2T expression on disease-free survival (DFS) and overall survival (OS) were analyzed by Kaplan-Meier (KM) survival curve. In vitro, real-time quantitative PCR and Western blot were used to confirm the knock-down and overexpression efficiency, to analyze its effect on tumor cell biological behavior. The effect of UBE2T on cell epithelial–mesenchymal transition (EMT) was studied by Western blot. A xenograft tumor model was established to verify the effect of UBE2T knockdown on the growth of BRCA cells in vivo. Results The UBE2T expression levels in BRCA and adjacent tissues were statistically different (P<0.001), and the expression was increased in tissues with distant metastasis or late stage (all P<0.05). The DFS and OS were decreased in the UBE2T high-level group (both P<0.05). UBE2T was highly expressed in MCF-7 and MDA-MB-231 cells and lowly expressed in MDA-MB-361 cells (all P<0.01). After UBE2T was silenced by shRNA, the proliferation ability of tumor cells significantly decreased, whereas it increased after UBE2T up-expression (all P<0.05). The apoptotic rates of MCF-7 and MDA-MB-231 cells in the silent groups were significantly higher than those in the shNC groups, while the apoptotic rates of MAD-MB-361 cells in the overexpression group decreased (all P<0.001). The mobility in the knockdown groups were lower than in the shNC groups, while the mobility in the overexpression group significantly increased (both P<0.01). The migration and invasion cells in the shUBE2T groups were lower than those in the shNC groups, and the migration and invasion cells in the UBE2T group were higher than those in the vector group (all P<0.01). Downregulation of UBE2T decreased the expression levels of N-cadherin, Snail, and Vimentin (all P<0.05) and increased that of E-cadherin; however, the result of UBE2T upregulation was opposite (all P<0.01). TIMER results showed that UBE2T was positively correlated with E-cadherin (P<0.001), N-cadherin (P=0.013), and Snail (P<0.001) and negatively correlated with Vimentin (P<0.001). In vivo experiments showed that downregulation of UBE2T slowed down the growth of transplanted tumors. Conclusion UBE2T is highly expressed in BRCA tissues and may affect the prognosis. UBE2T can promote the proliferation of BRCA cells, inhibit apoptosis, and increase the migration and invasion abilities by changing the expression levels of EMT-related proteins.

The innate immune system detects cellular stressors and microbial infections, activating programmed cell death (PCD) pathways to eliminate intracellular pathogens and maintain homeostasis. Among these pathways, pyroptosis, apoptosis, and necroptosis represent the most characteristic forms of PCD. Although initially regarded as mechanistically distinct, emerging research has revealed significant crosstalk among their signaling cascades. Consequently, the concept of PANoptosis has been proposed—an inflammatory cell death pathway driven by caspases and receptor-interacting protein kinases (RIPKs), and regulated by the PANoptosome, which integrates key features of pyroptosis, apoptosis, and necroptosis. The core mechanism of PANoptosis involves the assembly and activation of the PANoptosome, a macromolecular complex composed of three structural components: sensor proteins, adaptor proteins, and effector proteins. Sensors detect upstream stimuli and transmit signals downstream, recruiting critical molecules via adaptors to form a molecular scaffold. This scaffold activates effectors, triggering intracellular signaling cascades that culminate in PANoptosis. The PANoptosome is regulated by upstream molecules such as interferon regulatory factor 1 (IRF1), transforming growth factor beta-activated kinase 1 (TAK1), and adenosine deaminase acting on RNA 1 (ADAR1), which function as molecular switches to control PANoptosis. Targeting these switches represents a promising therapeutic strategy. Furthermore, PANoptosis is influenced by organelle functions, including those of the mitochondria, endoplasmic reticulum, and lysosomes, highlighting organelle-targeted interventions as effective regulatory approaches. Cardiovascular diseases (CVDs), the leading global cause of morbidity and mortality, are profoundly impacted by PCD. Extensive crosstalk among multiple cell death pathways in CVDs suggests a complex regulatory network. As a novel cell death modality bridging pyroptosis, apoptosis, and necroptosis, PANoptosis offers fresh insights into the complexity of cell death and provides innovative strategies for CVD treatment. This review summarizes current evidence linking PANoptosis to various CVDs, including myocardial ischemia/reperfusion injury, myocardial infarction, heart failure, arrhythmogenic cardiomyopathy, sepsis-induced cardiomyopathy, cardiotoxic injury, atherosclerosis, abdominal aortic aneurysm, thoracic aortic aneurysm and dissection, and vascular toxic injury, thereby providing critical clinical insights into CVD pathophysiology. However, the current understanding of PANoptosis in CVDs remains incomplete. First, while PANoptosis in cardiomyocytes and vascular smooth muscle cells has been implicated in CVD pathogenesis, its role in other cell types—such as vascular endothelial cells and immune cells (e.g., macrophages)—warrants further investigation. Second, although pathogen-associated molecular patterns (PAMPs) and damage-associated molecular patterns (DAMPs) are known to activate the PANoptosome in infectious diseases, the stimuli driving PANoptosis in CVDs remain poorly defined. Additionally, methodological challenges persist in identifying PANoptosome assembly in CVDs and in establishing reliable PANoptosis models. Beyond the diseases discussed, PANoptosis may also play a role in viral myocarditis and diabetic cardiomyopathy, necessitating further exploration. In conclusion, elucidating the role of PANoptosis in CVDs opens new avenues for drug development. Targeting this pathway could yield transformative therapies, addressing unmet clinical needs in cardiovascular medicine.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

OBJECTIVE To sort out reform policy for basic medical insurance designated retail pharmacy （referred to as designated retail pharmacy） in China， and to provide reference for the improvement of the policy under the new situation of mutual- aid mechanism for covering outpatient bills. METHODS The policy texts on designated retail pharmacies issued by ministries and commissions of the State Council and departments directly under the State Council were collected from December 1998 to June 2023. The content analysis and social network analysis were adopted to construct a three-dimensional analytical framework based on the policy subject， the policy tool， and the policy process， in order to quantitatively analyze the policies on reforming designated retail pharmacies. RESULTS & CONCLUSIONS The reform policy of designated retail pharmacies can be roughly divided into three stages： germination， exploration and development， and in-depth promotion. The use of policy tools is dominated by environment-oriented tools， and the cooperation network of policy subjects presents a “head-body-tail” chain structure. With the advancement of policy reforms， the number of policy subjects showed a trend of decline followed by growth， the number of policy documents showed an upward trend， emphasizing the use of tools such as the construction of the pharmacist system， the flow of prescriptions， the payment of medical insurance， and the management of “dual-channels” and “outpatient co-ordination”. It is suggested that in terms of policy formulation， all policy subjects should adhere to top-level design， grasp the characteristics of the stage of policy development， and adjust the use of policy tools according to local and timely conditions； we should also strengthen cooperation and communication， improve policy formulation efficiency， achieve policy coordination， and continuously improve policies for designated retail pharmacies.

ObjectiveTo investigate the potential effect of ursodeoxycholic acid （UDCA） in the prevention and treatment of COVID-19 in patients with chronic hepatitis B. MethodsClinical data were collected from 324 patients with chronic hepatitis B who were treated in Beijing Ditan Hospital， Capital Medical University， from January to December 2022， and according to whether UDCA was administered， they were divided into UDCA group and control group. The propensity score matching （PSM） method was used to balance the confounding factors such as age， sex， and chronic complications， and the two groups were compared in terms of SARS-CoV-2 infection rate， symptoms， and recovery time after COVID-19. The two groups were also compared in terms of related laboratory markers （white blood cell count ［WBC］， hemoglobin ［Hb］， platelet count ［PLT］， alanine aminotransferase ［ALT］， aspartate aminotransferase ［AST］， albumin ［Alb］， alkaline phosphatase ［ALP］， total bilirubin ［TBil］， triglyceride ［TG］， and total cholesterol ［TC］）， vaccination， and the incidence rate of liver disease symptoms after COVID-19. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of data with skewed distribution between the two groups； the chi-square test and the continuously corrected chi-square test were used for comparison of categorical data between two groups. The binary Logistic regression model was used for univariate and multivariate analyses to investigate the influencing factors for COVID-19 after matching. ResultsThere were 87 patients in the UDCA group and 237 patients in the control group， and after PSM， there were 78 patients in the UDCA group and 137 patients in the control group， with good balance between the two groups. There was a significant difference in SARS-CoV-2 infection rate between the UDCA group and the control group ［82.1% （64/78） vs 95.6% （131/137）， χ²=10.847， P=0.001］. After COVID-19， compared with the control group， the UDCA group had a significantly lower proportion of the patients with chill （10.9% vs 38.9%， χ²=16.124， P<0.001） and cough （56.3% vs 74.8%， χ²=6.889， P=0.009）. There was a significant difference between the UDCA group and the control group in the proportion of the patients with a recovery time of ≤7 days after COVID-19 （79.7% vs 61.1%， χ²=6.760， P=0.009）. Both univariate and multivariate logistic regression analyses showed that UDCA was an independent influencing factor for COVID-19 （odds ratio=0.21 and 0.17， both P<0.05）. ConclusionUDCA is an protective factor against COVID-19 in patients with chronic hepatitis B and can alleviate related symptoms to some extent and shorten the recovery time， and therefore， it has an important value in the prevention and treatment of COVID-19.