Background Due to the unique working environment and numerous occupational disease hazards, workers in mining industry are particularly susceptible to psychological problems such as occupational stress. Objective To understand the current status of occupational stress, depressive symptoms, anxiety symptoms and sleep quality of workers in ferrous and non-ferrous metal mining industry in Gansu Province, and to explore the effects of occupational stress on depressive symptoms, anxiety symptoms, and sleep. Methods From April to December 2022, the workers of 25 large, medium, and small and micro enterprises were selected by stratified cluster random sampling and surveyed in ferrous and non-ferrous metal mining industry in Gansu Province. The Occupational Health Literacy Questionnaire of National Key Population, Core Occupational Stress Scale, Patient Health Questionnaire-q, Generalized Anxiety Disorder, and Self-administer Sleep Questionnaire were used to collect basic information, occupational stress, depressive symptoms, anxiety symptoms, and sleep quality of the workers. Chi-square test was used to compare occupational stress, depressive symptoms, anxiety symptoms and sleep disorders among different categories. Logistic regression model was used to study the effects of occupational stress on depressive symptoms, anxiety symptoms, and sleep quality. Results In this study, 2192 workers in mining industry were surveyed, of which 2087 returned valid questionnaires, and the recovery rate of valid questionnaires was 95.2%. Among them, 728 (38.4%) reported occupational stress. There were statistically significant differences in the positive rate of occupational stress among workers by gender, age, marital status, education level, average monthly income, length of service, enterprise size, and night shifts (P<0.001). The positive rates of depressive symptoms, anxiety symptoms, and sleep disorders in the mining industry workers were 85.6%, 49.8%, and 47.3%, respectively. The positive rates of depressive symptoms, anxiety symptoms, and sleep disorders among workers with higher occupational stress were higher than those among workers without occupational stress (P<0.001). The logistic regression analysis showed that occupational stress was a common risk factor for depressive symptoms (OR=3.29, 95%CI: 2.26, 4.79), anxiety symptoms (OR=2.87, 95%CI: 2.33, 3.53), and sleep disorder (OR=1.78, 95%CI: 1.46, 2.16). In addition, length of service and enterprise-scale were also risk factors for depressive symptoms, anxiety symptoms, and sleep disorders. In the 5−<10 and 10−<20 years of service groups, the risks of reporting depressive symptoms were 1.80 (95%CI: 1.18, 2.74) and 1.73 (95%CI: 1.10, 2.71) times higher than that of workers with less than 1 year of service, respectively; the risks of reporting anxiety symptoms were 1.98 (95%CI: 1.42, 2.76) and 2.11 (95%CI: 1.48, 3.01) times higher than that with less than 1 year of service, respectively; the risks of reporting sleep disorders were 1.58 (95%CI: 1.15, 2.16) and 1.78 (95%CI: 1.29, 2.45) times higher than that with less than 1 year of service, respectively. Workers in large enterprises were inclined to report more depressive symptoms, anxiety symptoms, and sleep disturbances than those in micro and small enterprises (OR=3.53, 95%CI: 2.41, 5.16; OR=2.49, 95%CI: 1.98, 3.13; OR=2.10, 95%CI: 1.67, 2.62). Conclusion The occupational stress level of mining industry workers in Gansu Province is high, and reporting occupational stress, 5−<10 and 10−<20 working age groups, and large enterprises are important risk factors affecting workers' mental health and sleep. It is necessary to increase the attention and develop intervention programs for mental health of miners in the working age group of 5−20 years old and in large enterprises.

Objective To develop a risk assessment scale for immune checkpoint inhibitor (ICI)-associated myocarditis based on multidisciplinary collaboration, and to evaluate its diagnostic performance. Methods Based on multidisciplinary cooperation, integrating clinical experience from oncology and cardiology, literature data, and patient conditions, a risk assessment scale for ICI-associated myocarditis was developed. A total of 101 patients with malignancies who received immunotherapy at Zhongshan Hospital, Fudan University, from October 2020 to October 2024 were included as the validation cohort. Patients were stratified into low-risk (0-1 point), medium-risk (2-4 points), and high-risk (≥5 points) groups based on their scale scores. The association between pretictive risk stratifications and actual assessment results was assessed using the Cox proportional hazards regression model. The predictive value of the scale for ICI-associated myocarditis was evaluated using receiver operating characteristic (ROC) curve. Agreement between the scale scores and actual assessment results was assessed using Cohen’s Kappa coefficient. Results Based on the scale pretictive results, 28(27.7%), 8(7.9%), 65(64.4%) patients were at low risk, medium risk, and high risk for ICI-related myocarditis, respectively; however, 46(45.5%), 8(7.9%), 47(46.5%) were at low risk, medium risk, and high risk actually. Kaplan-Meier survival analysis showed that the cumulative incidence of ICI-related myocarditis in the high-risk group was significantly higher than that in the medium- and low-risk groups (P＜0.05). In the multivariable-adjusted Cox proportional hazards model, the ICI-related myocarditis risk in high-risk group was about 4 times that in the low-risk group. ROC curve analysis demonstrated that the average area under the curve (AUC) for predicting ICI-related myocarditis was 0.81, with an accuracy of 0.74. The Cohen’s Kappa coefficient was 0.55, indicating moderate agreement. In the actual high-risk group, no patient was predicted to be at low risk; in the actual low-risk group, 16 patients were predicted to be at high risk. Conclusions This risk assessment scale for ICI-associated myocarditis shows high predictive performance. It provides oncologists with a simple yet effective multidisciplinary diagnostic reference tool, potentially enhancing early identification of ICI-associated myocarditis.

Inflammatory bowel disease (IBD) is an autoimmune disorder involving complex immune regulation, where balancing localized and systemic immunosuppression is a key challenge. This study aimed to enhance the therapeutic efficacy by engineering the probiotic Escherichia coli Nissle 1917 (EcN). We removed endogenous plasmids pMUT1 and pMUT2 from wild-type EcN and expressed the mPD-L1 (19‒238 aa)-mFc fusion protein on the bacterial surface using a cytolysin A (ClyA) fragment. This modification stabilized mPD-L1 (19‒238 aa) protein expression and promoted its recruitment to outer membrane vesicles (OMVs). The engineered strain, EcNΔ_pMUT1/2-ClyA-mPD-L1-mFc (EcN-ePD-L1-mFc), features conditional ePD-L1-mFc expression under the araBAD promoter, enhancing gut-targeted release and reducing systemic side effects. This strain improved treatment targeting and efficiency by enabling direct ePD-L1-mFc interaction with immune cells at inflammation sites. OMVs from this strain induced Treg proliferation, inhibited effector T cell proliferation in vitro, and significantly improved intestinal inflammation and colonic epithelial barrier repair in vivo. Additionally, the bacterium restored intestinal microbiota balance, increasing Lactobacillaceae and reducing Bacteroides. This study highlights the engineered bacterium's potential for targeted intestinal immune modulation and offers a novel local IBD treatment approach with promising clinical prospects.

Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases. However, the relatively abstract diagnostic methods of TCM lack objective measurement, and the complex mechanisms of action are difficult to comprehend, which hinders the application and internationalization of TCM. Recently, while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research, the rise of machine learning (ML) has significantly enhanced their integration with TCM. This article introduces representative methodological cases in quality control, mechanism research, diagnosis, and treatment processes of TCM, revealing the potential applications of ML technology in TCM. Furthermore, the challenges faced by ML in TCM applications are summarized, and future directions are discussed.

Objective:To evaluate the current status of alpha-fetoprotein (AFP) detection, a comparability analysis was conducted on the results measured by eight automated immunoassay systems, incorporating external quality assessment (EQA) data from the Beijing Center for Clinical Laboratories (BCCL) for the years 2020, 2021, and 2023.Methods:Methodological evaluation. Abbott Architect i2000, Beckman DxI 800, Roche Cobas E601, Diasorin Liaison XL, Maccura IS1200, Autolumo A2000, Leadman CI1000, and Mindray CL-2000i were used to detect 40 individual AFP serum samples that were collected from the laboratory of Beijing Chaoyang Hospital in 2019. The AFP results from eight different systems were compared with the median cohort. Passing-Bablok regression was used to evaluate the correlation between methods, and the concordance correlation coefficient was used to analyse the consistency between methods. Taking the optimal biological variability (±5.90%) as the criterion for bias evaluation, the bias between systems was evaluated using Bland-Altman analysis. The EQA results for AFP from BCCL over the past three years were statistically analysed to calculate the robust mean, robust coefficient of variation ( CV), and standard uncertainty within groups. The acceptance limit is based on the requirement of desirable biological variability (±21.87%) of allowable total error, and the pass rates were calculated for instrument or method groups, respectively. Results:The CVs of the eight detection systems were all≤1/3 allowable total error (±8.3%), passing the precision verification. The average relative biases between two detection systems (Roche Cobas E601 and Maccura IS1200) and the median cohort were>±5.90%, while the other six detection systems were<±5.90%. The eight detection systems showed good correlation and consistency with the median cohort (both R2 and concordance correlation coefficients>0.95). The results of EQA showed that there were no statistically significant differences in the robust means within each instrument or method group ( P>0.05). In the instrument group, except for Siemens and two other groups, the robust CVs of other groups were within 9%. The pass rates of most instruments and methods after being grouped were higher than the total pass rate, but that of the enzyme immunoassay chemiluminescence method was relatively low. Conclusions:The eight automated AFP immunoassay systems show a good correlation with the median cohort, and the consistency of AFP detection results is satisfactory among most detection systems. However, the comparability of AFP detection results for certain systems needs further improvement.

Objective To investigate the mechanism of Ganmao Qingre Pills(GQP)against lung injury based on network pharmacology,molecular docking and in vivo experiments.Methods The potential targets of GQP in the treatment of lung injury were screened through traditional Chinese medicine systems pharmacology database and analysis platform(TCM-SP)and Genecards.A"Chinese medicine-active ingredients-targets"network was constructed using Cytoscape 3.9.0 software,then gene ontology(GO)function and Kyoto encyclopaedia of genes and genomes(KEGG)pathway enrichment analysis for potential targets were conducted using a bioinformatics cloud platform.We established a protein-protein interaction(PPI)network,which was intersected with"Chinese medicine-active ingredients-targets"network to obtain core targets.The molecular docking between key target proteins and active ingredients was performed.The effect of GQP on these key target proteins was verified by using a mouse model of lung injury.Results A total of 707 targets for the treatment of lung injury by GQP were identified,corresponding to 107 active ingredients in 11 Chinese medicines.It was found that GQP might regulate targets such as PTGS1,AR,and ACHE through active ingredients including stigmasterol,luteolin,and acacetin using the"Chinese medicine-active ingredients-targets"network analysis.Core targets such as SRC,EGFR,and STAT3 were discovered by using the PPI network.Key target proteins,including CDK1,CDK2,EGFR,ESR1 and SRC,were screened through the intersection analysis of the PPI network and"Chinese medicine-active ingredients-targets"network.Molecular docking study showed that stigmasterol,luteolin and acacetin had good binding effects with CDK1,CDK2,EGFR,ESR1,and SRC,respectively.In vivo experiments revealed that GQP dose-dependently attenuated lung injury and inflammatory infiltration,reduced the release of pro-inflammatory factors TNF-α,IL-1β and IL-6,increased the expression of CDK1 and CDK2,and decreased the expression of EGFR,ESR1 and SRC in lung injury mice.Conclusion The therapeutic effect of GQP against lung injury may be achieved through interaction of key active ingredients(stigmasterol,luteolin,and acacetin)and key target proteins(CDK1,CDK2,EGFR,ESR1,SRC),and regulation of key signaling pathways such as neuroactive ligand-receptor interactions,cancer pathways,and calcium signaling pathways.

Objective:To analyze the clinical characteristics and outcomes of patients with invasive fungal sinusitis (invasive fungal rhinosinusitis, IFR) after allogeneic hematopoietic stem cell transplantation (allo-HSCT) and explored the risk factors for IFR after allo-HSCT.Methods:Nineteen patients with IFR after allo-HSCT at Peking University People’s Hospital from January 2012 to December 2021 were selected as the study group, and 95 patients without IFR after allo-HSCT during this period were randomly selected as the control group (1:5 ratio) .Results:Nineteen patients, including 10 males and 9 females, had IFR after allo-HSCT. The median age was 36 (10–59) years. The median IFR onset time was 68 (9–880) days after allo-HSCT. There were seven patients with acute myeloid leukemia, five with acute lymphoblastic leukemia, two with myelodysplastic syndrome, two with chronic myeloid leukemia, one with acute mixed-cell leukemia, one with multiple myeloma, and one with T-lymphoblastic lymph node tumor. There were 13 confirmed cases and 6 clinically diagnosed cases. The responsible fungus was Mucor in two cases, Rhizopus in four, Aspergillus in four, and Candida in three. Five patients received combined treatment comprising amphotericin B and posaconazole, one patient received combined treatment comprising voriconazole and posaconazole, nine patients received voriconazole, and four patients received amphotericin B. In addition to antifungal treatment, 10 patients underwent surgery. After antifungal treatment and surgery, 15 patients achieved a response, including 13 patients with a complete response and 2 patients with a partial response. Multivariate analysis revealed that neutropenia before transplantation ( P=0.021) , hemorrhagic cystitis after transplantation ( P=0.012) , delayed platelet engraftment ( P=0.008) , and lower transplant mononuclear cell count ( P=0.012) were independent risk factors for IFR after allo-HSCT. The 5-year overall survival rates in the IFR and control groups after transplantation were 29.00%±0.12% and 91.00%±0.03%, respectively ( P<0.01) . Conclusion:Although IFR is rare, it is associated with poor outcomes in patients undergoing allo-HSCT. The combination of antifungal treatment and surgery might be effective.

Objectives:To determine the effect of glucose-6-phosphate-dehydrogenase (G6PD) deficiency on patients’ complications and prognosis following allogeneic stem cell hematopoietic transplantation (allo-HSCT) .Methods:7 patients with G6PD deficiency (study group) who underwent allo-HSCT at Peking University People's Hospital from March 2015 to January 2021 were selected as the study group, and thirty-five patients who underwent allo-HSCT during the same period but did not have G6PD deficiency were randomly selected as the control group in a 1∶5 ratio. Gender, age, underlying diseases, and donors were balanced between the two groups. Collect clinical data from two patient groups and perform a retrospective nested case-control study.Results:The study group consisted of six male patients and one female patient, with a median age of 37 (range, 2-45) years old. The underlying hematologic diseases included acute myeloid leukemia ( n=3), acute lymphocytic leukemia ( n=2), and severe aplastic anemia ( n=2). All 7 G6PD deficiency patients achieved engraftment of neutrophils within 28 days of allo-HSCT, while the engraftment rate of neutrophils was 94.5% in the control group. The median days of platelet engraftment were 21 (6–64) d and 14 (7–70) d ( P=0.113). The incidence rates of secondary poor graft function in the study group and control group were 42.9% (3/7) and 8.6% (3/35), respectively ( P=0.036). The CMV infection rates were 71.4% (5/7) and 31.4% (11/35), respectively ( P=0.049). The incidence rates of hemorrhagic cystitis were 57.1% (4/7) and 8.6% (3/35), respectively ( P=0.005), while the bacterial infection rates were 100% (7/7) and 77.1% (27/35), respectively ( P=0.070). The infection rates of EBV were 14.3% (1/7) and 14.3% (5/35), respectively ( P=1.000), while the incidence of fungal infection was 14.3% (1/7) and 25.7% (9/35), respectively ( P=0.497). The rates of post-transplant lymphoproliferative disease (PTLD) were 0% and 5.7%, respectively ( P=0.387) . Conclusions:The findings of this study indicate that blood disease patients with G6PD deficiency can tolerate conventional allo-HSCT pretreatment regimens, and granulocytes and platelets can be implanted successfully. However, after transplantation, patients should exercise caution to avoid viral infection, complications of hemorrhagic cystitis, and secondary poor graft function.