OBJECTIVE To explore the influencing factors for successful detoxification in patients undergoing methadone maintenance therapy. METHODS A retrospective selection of 161 methadone maintenance therapy patients from the South Branch of Zhongshan Second People’s Hospital （including methadone maintenance treatment sites in Shiqi District， Xiqu District， Development Zone of Zhongshan City） from January 1， 2012， to January 1， 2025， was conducted as the study object. Data collected included patients’ sociodemographic information， drug abuse history， laboratory test results， medication records， etc. Patients were divided into the unsuccessful detoxification group and the successful detoxification group based on whether methadone detoxification was achieved. Univariate， univariate Cox regression， and multivariate Cox proportional hazards regression were used for influencing factor analysis， and the Kaplan-Meier method was employed for survival analysis. RESULTS Among the 161 methadone maintenance therapy patients， 96 were in the successful detoxification group and 65 in the unsuccessful detoxification group， yielding a successful detoxification rate of 59.63%. Multivariate Cox proportional hazards regression analysis revealed that age， registered residence status， age at first drug use， and duration of drug abuse were key influencing factors for successful detoxification in methadone maintenance therapy patients （P＜0.05）. Specifically， the successful detoxification rate for patients with Zhongshan local registered residence was 8.364 times higher than that for patients with non-local registered residence； for every 1-year increase in patient age， the successful detoxification rate decreased by 22.7%； for every 1-year increase in age at first drug use， the successful detoxification rate rose by 33.4%； and for every 1-year increase in duration of drug abuse， the successful detoxification rate increased by 33.5%. Survival analysis showed that the successful detoxification rate in the methadone low-dose group （≤30.8 mg） was significantly higher than that in the methadone high-dose group （＞30.8 mg） （P＝0.015）， and the successful detoxification rate in the population with Zhongshan local registered residence was significantly higher than that in those with non-local registered residence （P＜0.001）. CONCLUSIONS Age， registered residence status， age at first drug use， and duration of drug abuse are key influencing factors for successful detoxification in patients undergoing methadone maintenance therapy， and the last methadone dose may be associated with successful detoxification.

BACKGROUND:During diabetic wound healing,the sustained activation of M1 macrophages exacerbates the inflammatory response and hinders wound repair.Auranofin,an anti-inflammatory drug,has not been clearly studied for its effects on M1 macrophages and its potential role in diabetic wound healing.OBJECTIVE:To investigate the effects of different concentrations of auranofin on the biological function of M1 macrophages and evaluate its potential application in diabetic wound healing.METHODS:RAW264.7 and THP-1 cells were used as research models.M1 polarization was induced using different concentrations of interferon-γ and lipopolysaccharide.M1 macrophages were treated with 1 and 2 μmol/L auranofin.Cell counting kit-8 assay was used to evaluate the effect of auranofin on cell viability.Quantitative real-time PCR was performed to detect mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.ELISA was employed to measure the levels of interleukin-1β,interleukin-6,and tumor necrosis factor-α in the supernatant.Western blot analysis was used to assess the expression of nuclear factor-κB(p65),phosphorylated mitogen-activated protein kinases(MAPK),and total MAPK proteins.Additionally,6-8-week-old male C57BL/6J and db/db diabetic mice were used for wound healing experiments,with the mice divided into C57 control,db/db control and auranofin treatment groups,each containing six animals.Dorsal skin defect modeling and treatment with intraperitoneal injection of auranofin were performed to observe wound healing in mice.RESULTS AND CONCLUSION:(1)Cell experiments showed that co-treatment with interferon-y(10 ng/mL)and lipopolysaccharide(100 ng/mL)significantly induced M1 polarization in RAW264.7 and THP-1 cells,resulting in increased mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.Treatment with auranofin(1 and 2 μmol/L)reduced the mRNA expression of these inflammatory factors in the cells and inhibited the secretion of inflammatory factors in the cell supernatant.(2)Auranofin treatment significantly suppressed the activation of nuclear factor-κB(p65)and phosphorylated MAPK signaling pathways.(3)Animal experiments showed that auranofin promoted wound healing in db/db diabetic mice,suggesting that auranofin has strong anti-inflammatory effects and may facilitate the healing of wounds in diabetic mice.

BACKGROUND:During diabetic wound healing,the sustained activation of M1 macrophages exacerbates the inflammatory response and hinders wound repair.Auranofin,an anti-inflammatory drug,has not been clearly studied for its effects on M1 macrophages and its potential role in diabetic wound healing.OBJECTIVE:To investigate the effects of different concentrations of auranofin on the biological function of M1 macrophages and evaluate its potential application in diabetic wound healing.METHODS:RAW264.7 and THP-1 cells were used as research models.M1 polarization was induced using different concentrations of interferon-γ and lipopolysaccharide.M1 macrophages were treated with 1 and 2 μmol/L auranofin.Cell counting kit-8 assay was used to evaluate the effect of auranofin on cell viability.Quantitative real-time PCR was performed to detect mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.ELISA was employed to measure the levels of interleukin-1β,interleukin-6,and tumor necrosis factor-α in the supernatant.Western blot analysis was used to assess the expression of nuclear factor-κB(p65),phosphorylated mitogen-activated protein kinases(MAPK),and total MAPK proteins.Additionally,6-8-week-old male C57BL/6J and db/db diabetic mice were used for wound healing experiments,with the mice divided into C57 control,db/db control and auranofin treatment groups,each containing six animals.Dorsal skin defect modeling and treatment with intraperitoneal injection of auranofin were performed to observe wound healing in mice.RESULTS AND CONCLUSION:(1)Cell experiments showed that co-treatment with interferon-y(10 ng/mL)and lipopolysaccharide(100 ng/mL)significantly induced M1 polarization in RAW264.7 and THP-1 cells,resulting in increased mRNA expression of interleukin-1β,interleukin-6,and tumor necrosis factor-α.Treatment with auranofin(1 and 2 μmol/L)reduced the mRNA expression of these inflammatory factors in the cells and inhibited the secretion of inflammatory factors in the cell supernatant.(2)Auranofin treatment significantly suppressed the activation of nuclear factor-κB(p65)and phosphorylated MAPK signaling pathways.(3)Animal experiments showed that auranofin promoted wound healing in db/db diabetic mice,suggesting that auranofin has strong anti-inflammatory effects and may facilitate the healing of wounds in diabetic mice.

Objective To examine the association between epidemiological characteristics of hemorrhagic fever with renal syndrome (HFRS) and meteorological factors in Shenzhen City during the period from 2012 to 2019. Methods Average atmospheric pressure, average air temperature, average relative humidity, precipitation, wind speed, and sunshine duration were captured from Meteorological Bureau of Shenzhen City each month from 2012 to 2019. The average monthly rodent densities in Shenzhen City from 2012 to 2019 were acquired from the Vector Surveillance Management System of Guangdong Provincial Center for Disease Control and Prevention, and the monthly HFRS incidence was retrieved from Shenzhen Municipal Disease Surveillance System from 2012 to 2019. The correlation between meteorological factors and the monthly incidence of HFRS was examined us ing Spearman’s rank correlation in Shenzhen City, and the temporal trends in monthly HFRS incidence and the degrees of freedom for the rodent density were determined in Shenzhen City with a generalized additive model. The optimal lag time was identified using excess risk (ER) and its 95% confidence interval (CI), and univariate and multivariate models were fitted to evaluate the impact of meteorological factors on HFRS incidence in Shenzhen City. Results The median number of incident HFRS cases was 3.00 (interquartile range, 3.25) in Shenzhen City from 2012 to 2019, with an average air temperature of (23.44 ± 4.91) °C, average relative humidity of (76.05 ± 7.61)%, median precipitation of 4.10 (interquartile range, 6.83) mm, average wind speed of (1.97 ± 0.26) m/s, average sunshine duration of (5.17 ± 1.64) h, and median monthly rodent density of 1.74% (interquartile range, 2.52%). Spearman’s rank correlation analysis showed that the average air temperature positively correlated with average relative humidity (r_s = 0.420, P < 0.05), precipitation (r_s = 0.658, P < 0.05) and sunshine duration (r_s = 0.633, P < 0.05), and the atmospheric pressure negatively correlated with average air temperature (r_s = −0.925, P < 0.05), relative humidity (r_s = −0.614, P < 0.05), precipitation (r_s = −0.789, P < 0.05) and sunshine duration (r_s = −0.437, P < 0.05), while the average relative humidity correlated positively with precipitation (r_s = 0.724, P < 0.05) and negatively with sunshine duration (r_s = −0.218, P < 0.05). Univariate modeling analysis showed that the ERs and their 95% CI were 0.639% (0.540%, 0.737%) for average atmospheric pressure, −7.157% (−8.113%, −6.190%) for average air temperature, −3.603% (−4.219%, −2.985%) for average relative humidity, −5.889% (−7.085%, −4.669%) forprecipitation,21.881% (−5.149%, 56.612%) for average wind speed, and −13.877% (−16.641%, −11.022%) for sunshine duation (all P values < 0.05). Multivariate modeling analysis showed that in the ensemble model combining average atmospheric pressure and precipitation, the highest ER (6.686%) was caused by increased average atmospheric pressure, and the highest absolute ER values for average air temperature (6.615%), average relative humidity (3.107%) and precipitation (5.386%) were seen after adjustment only for sunshine duration (all P values < 0.05), while the highest absolute ER for sunshine duration (11.875%) was found after adjustment for precipitation (P < 0.05). Conclusions An increase in average air temperature, relative humidity, precipitation and sunshine duration resulted in a reduced incidence rate of HFRS in Shenzhen City from 2012 to 2019, and an increase in average atmospheric pressure increased the incidence of HFRS. Meteorological factors are important determinants affecting HFRS incidence in Shenzhen City.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Biohybrid robots are hybrid systems that deeply integrate living biological components （such as cells, tissues, organs, or microorganisms） with artificial synthetic components （including sensors, actuators, control systems, and structural materials）. Focusing on key advancements in cellular/microbial-level and tissue-level biohybrid robots, the applications in two major scenarios: targeted drug delivery in vivo and drug evaluation in vitro were reviewed. International research progress demonstrated that biohybrid robots offered novel solutions for overcoming deep tissue delivery barriers, enhancing biocompatibility, and enabling real-time monitoring. However, their clinical translation still faced critical challenges, including reproducibility, in vivo/in vitro nutrient supply, encapsulation technologies, and safety regulatory frameworks.

Uveitis is a blinding inflammatory disease that affects multiple structures within the eye, posing significant risks to patients' vision and mental health. Current treatments mainly involve glucocorticoids and immunosuppressants, which are associated with significant side effects, high relapse rates, and substantial costs. Recent research suggests that the gut microbiota may play a role in the development of uveitis through the gut-eye axis, with related metabolites also influencing disease progression. Modulating the gut microbiota or its metabolites could offer new therapeutic avenues for uveitis. This review explores the relationship between gut microbiota and various uveitis-associated diseases, such as systemic sarcoidosis, Vogt-Koyanagi-Harada syndrome, Behcet's disease, multiple sclerosis, and birdshot chorioretinopathy. It also discusses advancements in microbiota-related therapies, including probiotics and prebiotics, antibiotics, immunomodulators, phage therapy, and fecal microbiota transplantation. The aim is to provide a reference for the development of new therapies targeting specific microbial communities and genetic markers associated with uveitis, thereby promoting the realization of precision medicine.

Objective: To explore the potential category patterns of risk prevention and control behaviors of HIV infection among young students who have sex with men (MSM) and their impact on HIV infection and late detection, aiming to optimize intervention strategies. Methods: From September 2017 to December 2024, a total of 1 637 MSM young students in Tianjin were recruited through both online and offline channels. Latent class analysis was applied to classify 11 HIV risk prevention and control behaviors [condom use during the most recent anal sex in the past 6 months, consistent condom use, use of water based lubricants, abstinence from recreational drugs, regular on site professional testing, fixed sexual partners, partner testing, awareness of partner s HIV testing results, testing before sexual activity, nucleic acid testing, and use of pre exposure prophylaxis (PrEP) or post exposure prophylaxis (PEP)]. Multivariate Logistic regression analyzed associations between demographic characteristics/intervention services factors and latent classes. Differences in HIV infection and late detection across behavior patterns were compared. Results: HIV risk prevention and control behaviors among MSM students were classified into three latent classes:condom dependent group (38.42%), low prevention group (27.73%), and comprehensive prevention group (33.85%). Students who received condom promotion/testing services were more likely to belong to the comprehensive prevention group ( OR =5.58), while those who received peer education were less likely to the comprehensive prevention group ( OR =0.43) (both P <0.01). Among the MSM student population, the HIV infection rate was 4.83%, with 2.26% of cases detected late. The HIV infection rate (1.45%) and late detection proportion (0.82%) in the comprehensive prevention group were lower than those in the low prevention group (7.89% and 3.83%, respectively) ( χ 2=16.20, 7.31, both P <0.01). Conclusions HIV risk prevention and control behaviors among MSM young students exhibit significant heterogeneity. Comprehensive prevention strategies can effectively reduce HIV infection and late detection risks. It is necessary to optimize peer education content and improve the accessibility of diversified prevention measures such as PrEP/PEP to enhance HIV prevention and control.

Objective: To identify the core symptoms and bridge symptoms in the network structure among adolescents bullying victimization, anxiety and depressive symptoms, and to explore the interrelationships among these three variables, so as to provide a basis for the precise prevention of bullying behaviors and the improvement of adolescents psychological health conditions. Methods: From October to November 2023, a stratified cluster random sampling method was employed to select 4 759 middle and high school students from four cities in Guangxi: Beihai, Guigang, Hechi, and Laibin. The Chinese version of the Olweus Bully/Victim Questionnaire (OBVQ) was used to assess bullying victimization among adolescents, while the Generalized Anxiety Disorder-7 (GAD-7) and the Patient Health Questionnaire-9 (PHQ-9) were utilized to assess anxiety and depressive symptoms, respectively. The Bootnet package (version 1.6) in R software (version 4.4.1) was used to construct a network structure and analyze the associations between bullying victimization, anxiety symptoms and depressive symptoms among adolescents. Results: The reporting rates of depressive symptoms, anxiety symptoms, and bullying victimization among adolescents in Guangxi were 24.67%, 16.33%, and 16.58%, respectively. Network analysis revealed that the node with the highest expected influence was "property being taken or damaged", with a standardized expected influence (EI) index of 2.09. The top two nodes in terms of bridge expected influence were "thoughts of self harm or suicide" and "irritability", with standardized bridge expected influence (BEI) indices of 2.15 and 1.27, respectively. The stronger associations were observed between the node "property being taken or damaged" and the nodes "physical attacks such as hitting, kicking, pushing, or shoving" and "ridiculed due to accent", with edge weights of 0.43 and 0.35, respectively. Conclusion Targeting preventive measures against the symptoms with the highest expected influence and bridge expected influence in the network of bullying victimization, anxiety and depressive symptoms among adolescents may be an effective approach to reduce the negative impact of bullying victimization, anxiety and depressive symptoms on adolescents.

Autoimmune uveitis is a blinding intraocular inflammation primarily caused by immune dysregulation mediated by CD4+ T cells. CD4+ T cells differentiate into various functional subsets, including Th1, Th2, Th17, and Treg cells. These subsets participate in immune responses and mediate the initiation and resolution of inflammation by secreting different cytokines. This article primarily focuses on the functional characteristics and interplay network of Th1/Th2 and Th17/Treg cells, along with the specific effects of their key secreted cytokines(e.g., IFN-γ, TNF-α, IL-17, IL-10, TGF-β)in driving or suppressing ocular inflammation. The goal is to clarify the fundamental pathogenesis of this disease from the perspective of immune balance. Furthermore, this work explores potential therapeutic targets based on restoring the balance between Th1/Th2 and Th17/Treg, such as modulating the differentiation of specific subsets, blocking key pro-inflammatory cytokines, or enhancing anti-inflammatory functions. This investigation aims to provide a scientific rationale and guidance for optimizing existing diagnostic and therapeutic strategies, as well as developing new immunotherapies(e.g., biological agents, cell therapies).