Background Job burnout and depressive symptoms are prevalent among occupational populations, with a close relationship between them. Sleep quality, as a potential mediating factor, significantly affects the mental health of workers. Objective To explore the relationship between job burnout, sleep quality, and depressive symptoms, and determine whether sleep quality mediates the relationship between job burnout and depressive symptoms. Methods From April 25 to May 1, 2024, this study employed cluster sampling to conduct a questionnaire survey among individuals engaged in various occupations across five cities in the Ningxia Hui Autonomous Region. The questionnaires included socio-demographic information, as well as the Chinese Maslach Burnout Inventory (CMBI), the Pittsburgh Sleep Quality Index (PSQI), and the Patient Health Questionnaire-9 (PHQ-9) for assessing burnout, sleep quality, and depressive symptoms, respectively. Out of the 4106 questionnaires distributed, a total of 3837 questionnaires were valid, and the valid recovery rate was 93.45%. The distribution among demographic variables in burnout, sleep quality and depressive symptoms were statistically analyzed. A binary logistic regression model was used for multifactor correlation analysis; Pearson correlation was used to test the correlation between burnout, sleep quality, and depressed mood. Modelling and mediated effect path mapping were performed using Amos 24.0 software. Results The postive rate of occupational burnout in the workers was 97.49% (3741/3837), the positive rate of poor sleep quality was 66.77% (2526/3837), and the positive rate of depressive symptoms was 75.68% (2904/3837). There were statistically significant differences in depressive symptoms by ages, shift types, working years, marital status, smoking habits, drinking habits, and exercising frequency (P < 0.05). The logistic model indicated that working years, drinking habits, job burnout, and overall sleep quality were significant factors influencing the occurrence of depressive symptoms (P < 0.05). The correlation analysis revealed positive correlations between depressive symptom scores and job burnout scores (r=0.045, P < 0.01), between depressive symptom scores and sleep quality scores (r=0.480, P < 0.01), and between job burnout scores and sleep quality scores (r=0.054, P < 0.01). Furthermore, the indirect effect of job burnout on depressive symptoms through sleep quality was 0.100 (95%CI: 0.204, 0.252; P < 0.01). Conclusion Job burnout and sleep quality are significant factors associated with the occurrence of depressive symptoms among occupational populations, and sleep quality plays a partial mediating role in depressive symptoms associated with job burnout. This finding may provide a scientific basis for developing intervention strategies to control depressive symptoms among workers.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

S-methyl-L-cysteine sulfoxide (SMCO) is a non-protein sulfur-containing amino acid with a variety of functions. There are few reports on the enzymes catalyzing the biosynthesis of SMCO from S-methyl-L-cysteine (SMC). In this study, the flavin-containing monooxygenase gene derived from Schizosaccharomyces pombe (spfmo) was heterologously expressed in Escherichia coli BL21(DE3) and the enzymatic properties of the expressed protein were analyzed. The optimum catalytic conditions of the recombinant SpFMO were 30 ℃ and pH 8.0, under which the enzyme activity reached 72.77 U/g. An appropriate amount of Mg²⁺ improved the enzyme activity. The enzyme kinetic analysis showed that the K_m and k_cat/K_m of SpFMO on the substrate SMC were 23.89 μmol/L and 61.71 L/(min·mmol), respectively. Under the optimal reaction conditions, the yield of SMCO synthesized from SMC catalyzed by SpFMO was 12.31% within 9 h. This study provides reference for the enzymatic synthesis of SMCO.
Schizosaccharomyces/genetics* ; Escherichia coli/metabolism* ; Recombinant Proteins/metabolism* ; Cysteine/biosynthesis* ; Mixed Function Oxygenases/metabolism* ; Schizosaccharomyces pombe Proteins/metabolism* ; Oxygenases/metabolism* ; Kinetics

Objective:The human peripheral blood lymphocyte cell line 8E5 is capable of secreting non-infectious HIV-1 viral particles. By targeting the POL region of the HIV-1 proviral gene integrated into the genome of 8E5 cell line and constructing a monoclonal cell line containing a drug resistance mutation site in the POL region using CRISPR/Cas9 point mutation technology, safe and stable HIV-1 genotypic drug resistance test quality control materials can be prepared.Methods:8E5 cells were co-transfected with sgRNA (single guide RNA) and Cas9 coexpression vector and Donor ssODN (donor single-stranded oligonucleotides) carrying the target mutation sites. The positive monoclonal cell lines were obtained through flow microtiter plate sorting, and the editing efficacy of the targeted mutations was validated by Sanger sequencing. Sanger sequencing was performed to verify the editing effect of the targeted mutations on the HIV virus particles secreted into the supernatant of the monoclonal cell lines cultured to the 3rd, 5th and 7th generations.Results:A double sgRNA and Cas9 coexpression vector was successfully constructed and co-transfected with a Donor ssODN carrying the drug-resistant mutation site Q151M to the 8E5 cell line, resulting in the desired outcome. The sequencing result of the target site confirmed the successful mutation at the resistance site and the establishment of a monoclonal homozygous cell line. The Q151M mutation site was detected in non-infectious HIV-1 virus particles secreted by the 8E5 Q151M cell line after transmission. Conclusions:The cell line 8E5 Q151M was successfully constructed using CRISPR/Cas9 point mutation technology to stably carry the Q151M drug resistance mutation site, which provides a new technological platform for the preparation of quality-control materials for testing HIV-1 genotypic drug resistance.

Objective To screen the quality evaluation indicators of Bushen Huoxue Prescription(BHP)in the treatment of diabetic retinopathy(DR)by network pharmacology and molecular docking technology,and to establish content determination of active components in BHP by ultra-high-performance liquid chromatography triple-quadrupole mass spectrometry(UHPLC-QqQ-MS/MS).Methods Network pharmacology was used to screen the disease-related targets and key components,followed by molecular docking to further verify the interaction between them and confirm the active ingredients in BHP as the quality evaluation indicators.A UHPLC-QqQ-MS/MS method for the content determination of the active ingredients in BHP was established.A ZORBAX SB-C18 column(2.1 mm×50 mm,1.8 μm)was used,and methanol(A)-0.1％formic acid solution(B)was used as mobile phase.Gradient elution was performed in multiple reaction monitor mode.The flow rate was 0.3 mL·min-1 and the injection volume was 1 μL.Results Network pharmacology and molecular docking revealed five core targets and 12 BHP-related components(verbascoside,echinacoside,isoacteoside,tanshinone ⅡA,cryptotanshinone,dihydrotanshinone I,ginsenoside Re,Rd and Rb1,puerarin,daidzin,biochanin A)for the treatment of DR.There was a strong binding affinity between them(binding energy≤-5.0 kcal·mol-1).The established quantitative method demonstrated each component presented a good linearity within the specified range(r>0.999 5).The average recovery was in the range of 97.57％～101.48％.The contents of 12 components in eight batches of BHP samples were 0.027 9％～0.050 6％,0.006 4％～0.022 0％,0.017 1％～0.041 5％,0.009 2％～0.015 4％,0.012 6％～0.020 5％,0.004 4％～0.007 6％,0.334％～0.643％,0.238％～0.530％,0.353％～0.693％,3.411％～6.048％,1.023％～1.352％,0.000 8％～0.001 8％,respectively.Conclusion Based on network pharmacology,molecular docking and UHPLC-QqQ-MS/MS,a method for rapid screening and determination of 12 active components of BHP in the prevention and treatment of DR was established.This study provided a reference for comprehensive assessment of the quality and effectiveness of BHP.

BACKGROUND: Immunotherapy represented by immune checkpoint inhibitors (ICIs) has become the standard treatment for patients with non-oncogenic advanced non-small cell lung cancer (NSCLC). While lung cancer is most prevalent in elderly patients, these patients are rarely included in pivotal clinical trial studies. We aimed to describe the efficacy and safety of immunotherapy for elderly patients in the "real-world". METHODS: The data of older NSCLC patients and younger patients who received immunotherapy between July 2018 to October 2021 were retrospectively analyzed and the objective response rate (ORR) and progression-free survival (PFS) in different age groups (less than 60 years old was defined as the young group, 60 years-74 years old was the young old group, 75 years old and above was the old old group) were compared. And the impact of different clinical characteristics on treatment response and prognosis were analyzed in each age subgroup. RESULTS: A total of 21 young patients, 70 young old patients and 15 old old patients were included in this study, with ORR of 33.3%, 52.8% and 53.3%, respectively, without statistically significant difference (P=0.284). The median PFS was 9.1 mon, 7.6 mon and 10.9 mon, respectively, without statistically significant difference (P=0.654). Further analysis of the predictors of immunotherapy in each subgroup revealed that patients in the young old group and young group who received immunotherapy in the first line had a longer PFS. The difference of the incidence of adverse events was not statistically significant among the three groups (P>0.05). CONCLUSIONS The efficacy and safety of immunotherapy in elderly patients were similar to those in younger patients, and PFS was superior in the first-line immunotherapy. Further prospective studies are still needed to explore predictors of immunotherapy in elderly NSCLC patients.
Aged ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Humans ; Immunotherapy/adverse effects* ; Lung Neoplasms/drug therapy* ; Middle Aged ; Prognosis ; Retrospective Studies

BACKGROUND: Immunotherapy represented by immune checkpoint inhibitors (ICIs) has been widely used in the treatment of lung cancer. There are controversies in clinical practice for patients with advanced non-small cell lung cancer (NSCLC) and high programmed cell death-ligand 1 (PD-L1) expression receiving ICIs monotherapy or combination chemotherapy. METHODS: This study retrospectively analyzed the clinical data of 49 patients with advanced NSCLC and high PD-L1 expression. Immunohistochemistry was performed with 22C3 antibody, and the expression level of PD-L1 was evaluated according to tumor proportion score (TPS). Objective response rate (ORR) and progression free survival (PFS) were compared by groups of different clinical characteristics. RESULTS: ORR of monotherapy and combination therapy group was 47.1% (8/17) and 43.8% (14/32), respectively, without statistical difference (P=0.825). The median PFS of monotherapy and combination therapy group was 8.0 months and 6.8 months, respectively, without statistical difference (P=0.502). Statistical analysis of predictors of immunotherapy for the patients showed first-line immunotherapy had better ORR than subsequent immunotherapy (12/19, 63.2% vs 10/30, 33.3%, P=0.041), however no difference in PFS. And there were no differences in ORR or PFS among groups of age, gender, smoking status, performance status (PS), pathological type, tumor size and tumor-node-metastasis (TNM) stage. CONCLUSIONS The therapeutic effect is similar between ICIs monotherapy and combination chemotherapy for patients with advanced NSCLC and high PD-L1 expression. ORR of first-line immunotherapy was better in patients with advanced NSCLC and high PD-L1 expression. The optimal treatment for this population remains further prospective clinical studies.

BACKGROUND: Lung cancer is the most common malignancy world-wide. There are a variety of immune infiltrating cells in tumor microenvironment, which is an important component of tumor immunity and has clinical significance for the prognosis of patients. CD45RO is a surface marker of memory T cells. The expression of CD45RO⁺ tumor infiltrating lymphocytes (TILs) is associated with the prognosis of many tumors. The purpose of this study was to evaluate the relationship between the density of CD45RO⁺ TILs in tumor and stromal area and the clinical characteristics of patients with non-small cell lung cancer (NSCLC) and its impact on the prognosis of patients. We aimed to explore the clinical value of CD45RO⁺ TILs and programmed cell death ligand 1 (PD-L1) as prognostic markers. METHODS: Multiple fluorescent immunohistochemical staining was used to stain the tissue microarray chips of 167 patients with NSCLC, marking CD45RO, cytokeratin (CK) and PD-L1. Using artificial intelligence image recognition technology and tumor cell-specific CK staining, divide the tumor and stromal area in the tissue, evaluate the density of CD45RO⁺ TILs in the tumor and stromal area, and the expression level of PD-L1 in tumor cells. The non-parametric test was used to analyze the relationship between CD45RO⁺ TILs and the clinical characteristics of patients, and the Kaplan-Meier method and Cox risk ratio model were used to analyze the relationship between CD45RO⁺ TILs independently or in combination with PD-L1 and tumor prognosis. RESULTS: The density of CD45RO⁺ TILs was significantly associated with patient age, smoking, tumor stage, and pathological type. Single-factor survival analysis showed that NSCLC (P=0.007) stromal region and lung adenocarcinoma (LUAD) (P<0.001) with CD45RO⁺ TILs high density had better OS. Multivariate survival analysis showed that the high density of CD45RO⁺ TILs in the stromal region of NSCLC (HR=0.559, 95%CI: 0.377-0.829, P=0.004) and lung adenocarcinoma (HR=0.352, 95%CI: 0.193-0.641, P=0.001) were independent prognostic factors for overall survival time (OS). Combined with PD-L1 score of tumor cells in tumor tissues and infiltration score of CD45RO⁺ TILs in all tumor tissues, the patients were divided into 4 groups: patients with PD-L1⁺/CD45RO⁺ had the longest disease-free survival (DFS) time, and patients with PD-L1⁺/CD45RO- had the shortest DFS time. Multivariate Cox regression analysis showed that PD-L1⁺/CD45RO- was an independent prognostic factor for DFS and had a higher risk of poor prognosis compared to the other three groups (HR=2.221, 95%CI: 1.258-3.919, P=0.006). CONCLUSIONS In tumor tissues, the density of CD45RO⁺ TILs, as well as the combination of CD45RO⁺ TILs and PD-L1 in tumor areas, significantly correlated with clinicopathological features and prognosis of NSCLC, which can be used as a new prognosis marker.

Lung cancer is the malignant tumor with the highest mortality rate in the world. Heterogeneity of lung cancer, usually studied by sequencing technology, is considered to have important clinical significance in current studies. However, general sequencing technology can only explain the differences between samples integrally and its resolution is not enough to describe the differences between the individual cells. Therefore, people urgently hope to understand the cell type, state, subgroup distribution in the tumor microenvironment and the communication behavior between cells in the single cell level. Single-cell sequencing technology solves this problem. Using this technique will contribute to further understanding the mechanism of the occurrence and development of lung cancer, discovering new diagnostic markers and therapeutic targets, and providing theoretical references for the precise treatment of lung cancer patients in the future. This article reviews the progress of single-cell sequencing technology and focuses on its research on lung cancer tumor heterogeneity, tumor microenvironment, invasion and metastasis, treatment response, and drug resistance.
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BACKGROUND: Immune checkpoint inhibitor monotherapy is reported to have little effect in advanced non-small cell lung cancer (NSCLC) patients with driver oncogenes. However, recent studies have shown that some patients with driver genes are still benefit from combination immunotherapy after tyrosine kinase inhibitors (TKIs) drug resistance. The purpose of this study was to analyze the efficacy of posterior line immunotherapy in NSCLC patients with epidermal growth factor (EGFR) sensitive mutation, and to evaluate the value of immunotherapy in posterior line therapy in patients with advanced EGFR mutation. METHODS: A total of 27 patients with EGFR mutation diagnosed in Beijing Chest Hospital, Capital Medical University from June 2018 to November 2020 were collected. After the progress of targeted therapy, they had received programmed cell death protein 1 (PD-1) checkpoint inhibitor combined with chemotherapy and anti-angiogenic drug therapy. RESULTS: Of the 27 advanced NSCLC patients, 19 cases (70.4%) did not have T790M mutation. There were 8 cases (29.6%) with T790M point mutation. The total objective response rate (ORR) was 40.7%. Kaplan-Meier survival analysis showed that there was no statistically significant difference among different EGFR mutations (χ²=4.15, P=0.230). But progression-free survival (PFS) was significantly longer in patients without T790M mutation than in patients with T790M mutation (9.2 mon vs 3.3 mon, χ²=2.808, P=0.041), and the same trend was observed in patients with overall survival treated with the PD-1 inhibitor (12.2 mon vs 7.3 mon, χ²=3.22, P=0.062). ORR of patients without T790M was significantly better than that with T790M (52.63% vs 12.5%, P=0.045). CONCLUSIONS Patients with EGFR mutation can benefit from later-line combined immunotherapy. The patients with T790M mutation in the population of EGFR mutation had the worst effect of immunotherapy in the later line. Therefore, the follow-up treatment and whole-course management of these patients need to explore better treatment strategies to improve the benefit.