ObjectiveTo investigate the status of overlapping hepatitis B virus （HBV） infection in patients with chronic hepatitis C virus （HCV） infection and the serological characteristics of such patients. MethodsA total of 8 637 patients with HCV infection who were hospitalized from January 1， 2010 to December 31， 2020 and had complete data of HBV serological markers were enrolled， and the composition ratio of patients with overlapping HBV serological markers was analyzed among the patients with HCV infection. The patients were divided into groups based on age and year of birth， and serological characteristics were analyzed， and the distribution of HBV-related serological characteristics were analyzed across different HCV genotypes. ResultsThe patients with HCV/HBV overlapping infection accounted for 5.85%， and the patients with previous HBV infection accounted for 48.10%； the patients with protective immunity against HBV accounted for 14.67%， while the patients with a lack of protective immunity against HBV accounted for 31.39%. The patients were divided into groups based on age： in the 0 — 17 years group， the patients with protective immunity against HBV accounted for 61.41% （304 patients）； the 18 — 44 years group was mainly composed of patients with previous HBV infection （698 patients， 37.31%）， the 45 — 59 years group was predominantly composed of patients with previous HBV infection （1 945 patients， 50.38%）， and the ≥60 years group was also predominantly composed of patients with previous HBV infection （1 486 patients， 61.66%）. The patients were divided into groups based on the year of birth： in the pre-1992 group， the patients with previous HBV infection accounted for 51.63% （4 112 patients）； in the 1992 — 2005 group， the patients with protective immunity against HBV accounted for 54.72% （168 patients）； in the post-2005 group， the patients with protective immunity against HBV accounted for 64.38% （235 patients）. In this study， 6 301 patients underwent HCV genotype testing： the patients with genotype 1b accounted for the highest proportion of 51.71% （3 258 patients）， followed by those with genotype 2a （1 769 patients， 28.07%）， genotype 3b （63 patients， 1.00%）， genotype 3a （10 patients， 0.16%）， genotype 4 （21 patients， 0.33%）， and genotype 6a （5 patients， 0.08%）. ConclusionWith the implementation of hepatitis B planned vaccination program in China， there has been a significant reduction in the proportion of patients with previous HBV infection among the patients with HCV/HBV overlapping infection， but there is still a relatively high proportion of patients with a lack of protective immunity against HBV.

BackgroundModified electroconvulsive therapy （MECT） is a common front-line strategy widely used in psychiatric practice， and the optimal first stimulus dosage in MECT is usually estimated clinically based on the factors influencing the patient's initial seizure threshold （IST）. However， previous studies on the influencing factors of IST have mostly suffered from limitations such as small sample sizes and single-dimensional research perspectives. ObjectiveTo explore the factors influencing IST in MECT for patients with mental disorders， so as to provide references for stimulus dosing strategies in MECT for the patients. MethodsA retrospective study was used to include 1 446 inpatients fulfilling the diagnostic criteria for any specific mental disorder listed in the ICD-10 and receiving MECT at Shandong Daizhuang Hospital from January 1， 2021 to August 1， 2023. Their general and clinical data were collected， including IST， psychiatric diagnostic categories， gender， ethnicity， age， body weight， body mass index （BMI）， course of disease， family history of psychiatric disorders， first episode status， use of antiepileptic drugs the day before treatment， use of benzodiazepines the day before treatment， and previous MECT treatment history. Pearson correlation analysis was utilized to test the correlation of IST with age， height， body weight， BMI， and course of disease， and stepwise multivariate linear regression analysis was performed to identify the factors affecting IST. ResultsIST yielded statistical difference among patients in terms of gender， first episode status， use of antiepileptic drugs the day before treatment， and use of benzodiazepines the day before treatment （t=2.256， -3.059， -2.136， -3.006， P<0.05 or 0.01）. IST in patients of different ages and psychiatric diagnostic categories also demonstrated statistical difference （F=913.120， 6.212， P<0.01）. Within young population， IST varied significantly based on the psychiatric diagnostic categories （F=2.986， P<0.05）. Correlation analysis indicated that IST was positively correlated with age， body weight， BMI and course of disease （r=0.886， 0.055， 0.184， 0.456， P<0.05 or 0.01）， and negatively correlated with height （r=-0.183， P<0.01）. Stepwise multivariate linear regression analysis revealed that age， gender， and body weight were influencing factors of IST （β=0.888， -0.049， -0.035， P<0.01）. ConclusionsAge， gender and body weight may be factors influencing IST in MECT for patients with mental disorders. ［Funded by Key R&D Plan Projects of Jining City in 2024 (number, 2024YXNS202）］

Objective: To investigate the characteristics of malignant tumor incidence and mortality in cancer registration areas of Zhejiang Province in 2021. Methods: Based on the 2021 cancer registration data from 22 national cancer registries in Zhejiang Province, the crude incidence, crude mortality, and cumulative rate for 0 to 74 years were calculated. Age standardized was performed using the age composition of the standard population from the Fifth National Population Census in 2000 and Segi's world standard population. The incidence and mortality characteristics of malignant tumor in different genders, urban/rural areas and ages were described. The order of crude incidence and mortality of malignant tumor were analyzed. Results: In 2021, there were 116 639 new malignant tumor cases in Zhejiang Province. The crude, Chinese population standardized, and world population-standardized incidences were 530.93/100 000, 304.83/100 000, and 288.20/100 000, respectively. The cumulative incidence for 0 to 74 years was 31.92%. There were 40 475 death cases. The crude, Chinese population-standardized, and world population-standardized mortalities were 184.24/100 000, 79.40/100 000, and 78.97/100 000, respectively. The cumulative mortality for 0 to 74 years was 8.37%. The Chinese population-standardized incidence for males and females were 286.34/100 000 and 323.45/100 000, respectively, and the Chinese population-standardized mortality were 106.25/100 000 and 54.17/100 000, respectively. The Chinese population-standardized incidence for urban and rural were 316.85/100 000 and 285.11/100 000, respectively, and the Chinese population-standardized mortality were 75.59/100 000 and 85.48/100 000, respectively. The crude incidence and crude mortality of malignant tumor both increased with age, peaking in the groups aged 80-<80 and ≥85 years at 1 845.06/100 000 and 1 656.88/100 000, respectively. The top ten malignant tumors with the highest crude incidence were, in descending order: lung cancer, thyroid cancer, breast cancer, prostate cancer, colorectal cancer, gastric cancer, liver cancer, cervical cancer, lymphoma, and brain tumors. These accounted for 80.34% of all new malignant tumor cases. The top ten malignant tumors with the highest crude mortality were, in descending order: lung cancer, liver cancer, colorectal cancer, gastric cancer, pancreatic cancer, prostate cancer, breast cancer, esophageal cancer, lymphoma, and gallbladder cancer. These accounted for 82.26% of all malignant tumor deaths. Conclusions In 2021, the cancer registration areas of Zhejiang Province were characterized by a relatively high malignant tumor incidence and a comparatively low mortality compared to national data. Males and the elderly emerged as key populations for targeted prevention and control. It is recommended to enhance screening, early diagnosis, and early treatment for lung cancer, thyroid cancer, prostate cancer, breast cancer, and gastric cancer malignancies.

The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.

Objective To investigate the factors influencing mood and sleep among special operation personnel,so as to provide evidence for the prevention and intervention of related issues.Methods A total of 600 special operation personnel during their special duty were enrolled by random sampling method.Basic information was collected by a general information questionnaire.Mood and sleep status were evaluated by self-rating anxiety scale(SAS),self-rating depression scale(SDS),and Pittsburgh sleep quality index scale(PSQI).Results Spearman correlation analysis showed that factors associated with anxiety were years of work experience(r=0.099,P=0.016),family residence(r=-0.153,P＜0.001),and sleep status(r=0.199,P＜0.001);the factors associated with depression were relationship with parents(r=-0.134,P=0.001),family residence(r=-0.144,P＜0.001),and sleep status(r=0.122,P=0.003);and the factors associated with sleep were age(r=0.088,P=0.031),years of work experience(r=0.079,P=0.049),and number of children(r=0.083,P=0.043).Binary logistic regression analysis showed that depression was not an influencing factor of sleep(odds ratio[OR]=1.302,95%confidence interval[95%CI]0.759-1.758,P=0.086),while anxiety was an influencing factor of sleep(OR=2.187,95%CI 1.608-4.695,P=0.001).Conclusion The sleep status of special operation personnel investigated in this survey is related to age and years of work experience,and is influenced by anxiety.Therefore,greater attention should be given to sleep issues in the occupational health support of special operations.Additionally,years of work experience,family residence,relationship with parents,and sleep status are related to anxiety and depression among special operation personnel.It is necessary to focus on the mental health of older workers and those with longer tenure.

Objective To explore the regulatory mechanism of NFE2L2/KEAP1 in alveolar bone repair induced by periodontitis.Methods A rat periodontitis model was established and divided into four groups:Control group(n=6);Periodontitis model group(n=6);Periodontitis+lentivirus empty vector group(n=6);Periodontitis+NFE2L2 overexpression plasmid group(n=6).Histopathological changes in each group were observed using HE staining.TRAP staining was used to detect osteoclast positivity,while ELISA was employed to measure inflammatory cytokine levels in tissues.Immunofluorescence and qPCR were used to detect NFE2L2 expression,and western blot was used to assess the expression of osteogenic proteins ALPL2,RUNX2,and COL1.Primary periodontal ligament cells(hPDLCs)were cultured,and cells were transfected to overexpress NFE2L2 and KEAP1.The cells were divided into six groups:Normal group;Model group;pcDNA-NC group;pcDNA-NFE2L2 group;pc-NFE2L2+pcDNA-NC group;pc-NFE2L2+pcDNA-KEAP1 group.A cellular model was established,and the morphology of primary hPDLCs was observed under a microscope.Cell proliferation was assessed using CCK-8.Osteogenic mineralization was observed using alizarin red staining,and western blot was used to detect osteogenic proteins and autophagy markers.Cell migration was observed using a scratch assay.Results(1)After model induction,redness,swelling of the gums,extensive inflammatory infiltration,and alveolar bone resorption were observed,confirming successful model establishment.Partial tissue recovery occurred after NFE2L2 overexpression via lentivirus.(2)After model induction,osteoclast positivity increased,confirming successful model establishment.Overexpression of NFE2L2 reduced osteoclast positivity(P<0.001).(3)After model induction,levels of IL-1β,IL-10,and TNF-α were significantly higher than in the normal group(P<0.05),confirming successful model establishment.Transfection with NFE2L2 lentivirus reduced inflammatory cytokine levels(P<0.0001).After model induction,osteogenic protein expression decreased compared to the normal group,but overexpression of NFE2L2 increased osteogenic protein expression(P<0.05).(5)LPS treatment significantly reduced cell viability,while NFE2L2 overexpression enhanced it(P<0.0001).(6)LPS treatment reduced calcified nodules,while NFE2L2 overexpression increased them.Addition of pcDNA-KEAP1 reduced mineralized nodules.(7)LPS treatment decreased osteogenic protein expression,while NFE2L2 overexpression increased it.However,addition of pcDNA-KEAP1 reduced osteogenic protein expression(P<0.05).(8)LPS treatment reduced cell migration,whereas NFE2L2 overexpression enhanced it(P<0.0001).(9)Expression of autophagy markers decreased after LPS treatment,but increased after transfection with NFE2L2 plasmid.However,addition of pcDNA-KEAP1 reduced the expression of autophagy markers(P<0.05).Conclusion This study identified the regulatory role of NFE2L2/KEAP1 in periodontitis,providing a scientific basis for the treatment of periodontitis.

Objective:To evaluate the endometrial implantation window in patients with recurrent implantation failure using endometrial receptive array(ERA)sequencing or endometrial histological detection methods,and to explore the effectiveness and cost-effectiveness analysis of two technologies for improving clinical outcomes in such patients.Methods:A retrospective cohort study was conducted on clinical data of 125 patients diagnosed with repeated implantation failure in Gansu Maternal and Child Health Hospital from January 2018 to December 2022.According to whether endometrial receptivity testing was accepted and different detection techniques were used,they were divided into a control group(n=36),a genomic group(n=35),and a histological group(n=54).The clinical data and pregnancy outcomes of the three groups were compared.Results:①The results of one-way ANOVA showed that the embryo implantation rate in the genomic group and histological group was significantly higher than that in the control group,and the difference was statistically significant(P＜0.05).There was no sta-tistically significant difference in embryo implantation rate between genomic and histological groups(P=0.48).②There was no statistically significant difference in clinical pregnancy rate and live birth rate among the three groups(P＞0.05).③Log rank test showed:The time for 50％of patients to reach live labor was significantly shorter than that of the control group,and the difference was statistically significant(P＜0.05);There was no sta-tistically significant difference in the time to live birth in 50％of patients between the genomic and histological groups of 50％of patients(P＞0.05).④The average number of embryos transferred in the control group was significantly higher than that in the genomic and histological groups,with statistical significance(P＜0.05).The cost of genomic patients was significantly higher than that of histology group,and the difference was statistically significant(P＜0.05).Conclusions:①Endometrial implantation window detection is feasible for patients with re-peated implantation failure,which can effectively shorten the time to live birth and reduce the number of transplan-ted embryos;②Both ERA sequencing and endometrial histology detection have limitations as methods to evaluate endometrial implantation window,and it is not clear which detection method has more advantages in accuracy and practicability.

Objective To investigate the prevalence of human parvovirus B19(B19V)infection among college students,so as to provide reference for the development of blood donor screening strategies and blood supply policies.Meth-ods From March 2023 to February 2024,blood donor samples from college students in Changchun were retrospectively an-alyzed using the principle of random numbers,with samples taken 1 to 3 days per month.B19V IgG/IgM were detected by ELISA,and B19V DNA and viral load were measured by real-time quantitative PCR.Results Among 1 456 blood donor samples from college students,the positive rates for B19V IgG,IgM and DNA were 11.54%,0.34%and 2.68%,respec-tively.The viral load in 39 B19V DNA-positive samples ranged from 5.60×102 IU/mL to 9.10×106 IU/mL,with 28 samples(1.92%)having a viral load above 104 IU/mL.There were 11 samples(0.76%)that were positive for B19V DNA but neg-ative for IgG/IgM.Conclusion The college students have a low prevalence of past B19V infection,but a higher risk of in-fections and a higer proportion of acute infections with high viral loads in individuals who are]B19V IgG negative,presenting a risk of transmission through blood transfusion.Targeted blood safety monitoring is necessary for college students to track the prevalence of B19V DNA.

Cardiometabolic disease is a clinical syndrome with a causal relationship between metabolic abnormalities and cardiovascular damage. With its global incidence and related mortality rates continually rising， it has become a major health concern worldwide. The role of the gut microbiome and its metabolic products in cardiovascular metabolic health has received widespread attention， with gut microbiota dysbiosis considered a key factor in promoting the development of cardiometabolic disease. Dysbiosis disrupts the balance of the "heart-spleen-intestine" axis， leading to dysfunction of the spleen and intestines， which triggers metabolic disorders and accelerates the progression of cardiometabolic disease. Cardiac dysfunction can also negatively affect spleen and intestinal function， leading to imbalances in the heart and spleen， disharmony in Qi and blood， and exacerbating metabolic anomalies and further dysbiosis， thus forming a vicious cycle. From a modern biological perspective， the gut microbiome and its metabolic products can influence disease progression by modulating inflammatory responses and immune imbalances， leading to endothelial dysfunction and metabolic disorders， thereby increasing the risk of cardiometabolic disease. Additionally， the article proposes strategies for managing cardiometabolic disease by regulating the gut microbiome through a combination of Chinese and western medicine approaches. Traditional Chinese medicine（TCM） treatment starts from the gut microbiome， using the "heart-spleen-intestine" axis as a mediator to regulate cardiovascular metabolic health， highlighting the unique advantages of TCM in targeting the gut microbiome to treat cardiometabolic disease. This article takes the TCM theory of the "heart-spleen-intestine" axis as a starting point， discusses the pivotal role played by this axis in the connection between gut microbiome dysbiosis and the development of cardiometabolic disease， aiming to provide a new perspective for the integrated traditional Chinese and western medical research on cardiometabolic disease， offering scientific evidence and practical guidance to improve the prognosis and quality of life for patients.

ObjectiveUltra-performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS/MS） was used to investigate the metabolism and distribution of nardosinone in rats， then metabolic pathways were speculated. MethodRats were administered with 30 mg·kg^-1 of nardosinone suspension by gavage for 3 consecutive days， and plasma， urine， feces， and tissues of heart， liver， spleen， lung， kidney， brain， stomach， and intestine were collected at predetermined time points. After treatment， the samples were processed for UPLC-Q-Exactive Orbitrap MS/MS， and the MS data were analyzed using Xcalibur 2.2 software. The metabolites were searched by comparing the base peak chromatogram and extracted ion chromatogram between the treated group and blank group， and based on the relative retention time（t_R）， quasi-molecular ion peak， precise molecular mass， and fragment ions of MS/MS， the elemental composition were searched using databases such as SciFinder and PubChem， as well as referring to relevant literature， the possible metabolites were identified and the metabolic pathways were inferred. ResultA total of 30 metabolites of nardosinone were identified， including 15， 19， 12， 7， 4， 11， 8， 13， 13， 8 and 12 metabolites in urine， feces， plasma， brain， heart， liver， spleen， lung， kidney， stomach and intestine， respectively. The main metabolic pathways of nardosinone in rats were hydroxylation， dehydroxylation， reduction， dehydrogenation， hydration， dehydration， carboxylation， glucuronidation， and dehydroxy-isopropyl. ConclusionNardosinone can be metabolized by phase Ⅰ and phase Ⅱ metabolism in rats， and the metabolites are widely distributed in the major organs. The results of this study can provide a basis for further research on the pharmacodynamic material basis， pharmacological mechanism and clinical application of nardosinone.