Background Depressive moods among occupational population are prevalent, which seriously affect their mental-physical health and socioeconomic productivity. This has become an urgent public health concern. Objective To understand current situation of depressive mood among an occupational population aged 18 to 60 covering 120 cities of China, and to explore the relationship between work-family conflict and depressive mood as well as the role of life stress in the relationship, as to provide a scientific basis for developing measures to reduce depressive mood in the occupational population. Methods Using the data of the Psychology and Behavior Investigation of Chinese Residents in 2021, an occupational population aged 18 to 60 years was selected as study subjects. A total of 3785 subjects were included in the study. The Work-Family Conflict Scale, Subjective Life Stress Scale, and Patient Health Questionnaire-Depression Scale were used to assess the work-family conflict, life stress, and depressive mood of the subjects. Harman's single-factor method was used to evaluate common method bias in the survey data. One-way ANOVA was applied to test the difference in work-family conflict, life stress, and depressive mood among occupational population by demographic characteristics, and chi-square test was used to analyze the difference in reporting depressive mood. Partial correlation analysis was used to evaluate the correlation between selected variables. Process plug-in was used to test potential mediating effect of life stress on work-family conflict and depressive emotion. Results The scores of work-family conflict, life stress, and depressive mood among the occupational population were 24.60±8.28, 9.28±3.78, and 5.43±5.30, respectively. The prevalence rates of depressive mood was 48.7% (1888/3875). The score of depressive mood among occupational population who never smoked was significantly higher than that of those who smoked (P<0.01). The partial correlation analysis showed that work-family conflict and life stress were positively correlated with depressive mood (r=0.472 and 0.447, P<0.001); work-family conflict was positively correlated with life stress (r=0.361, P<0.001). The mediation analysis results showed that work-family conflict positively associated with life stress (b=0.361, P<0.001); life stress positively associated with depressive mood (b=0.318, P<0.001); work-family conflict positively associated with depressive mood (b=0.357, P<0.001), and played a partial mediating role in the relationship between work-family conflict and depressive mood with an effect size of 0.115 (95%CI: 0.099, 0.130) that accounted for 24.36% of the total effect. Conclusion Work-family conflict may not only directly affect depressive mood among occupational population, but also indirectly affect depressive mood through a mediating effect of life stress.

Organoids,recognized as invaluable models in tumor and stem cell research,assume a pivotal role in the meticulous analysis of diverse datasets pertaining to their growth dynamics,drug screening processes and related phenomena.However,the manual scrutiny and conventional statistical methodologies employed in handling organoid data often grapple with challenges such as diminished precision and efficiency,heightened complexity,escalated human resource requirements,and a degree of subjectivity.Acknowledging the remarkable efficacy of artificial intelligence(AI)in the realms of biology and medicine,the incorporation of AI into organoid research stands poised to enhance the objectivity,precision and expediency of analyses.This integration empowers organoids to more effectively fulfill objectives such as disease modeling,drug screening and precision medicine.Notably,significant strides have been made in AI-driven analyses of organoid image data.The amalgamation of deep learning into image analysis facilitates a more meticulous delineation of the microstructural intricacies and nuanced changes within organoids,achieving a level of accuracy akin to that of experts.This not only elevates the precision of organoid morphology and growth recognition,but also contributes to substantial time and cost savings in research endeavors.Furthermore,the infusion of AI technology has yielded breakthroughs in the processing of organoid omics data,resulting in heightened efficiency in data processing and the identification of latent gene expression patterns.This furnishes novel tools for comprehending cellular development and unraveling the intricate mechanisms underlying various diseases.In addition to image data,AI techniques applied to diverse organoid datasets,encompassing electrical signals and spectra,have realized an unbiased classification of organoid types and states,embarking on a comprehensive journey towards characterizing organoids holistically.In the pivotal domain of drug screening for organoids,AI emerges as a stalwart companion,providing robust support for real-time process monitoring and result prediction.Leveraging high-content microscopy images and sophisticated deep learning models,researchers can dynamically monitor organoid responses to drugs,effecting non-invasive detection of drug impacts and amplifying the precision and efficiency of drug screening processes.Despite the significant strides made by AI in organoid research,challenges persist,encompassing hurdles in data acquisition,constraints in sample quality and quantity,and quandaries associated with model interpretability.Overcoming these challenges necessitates dedicated future research efforts aimed at enhancing data consistency,fortifying model interpretability,and exploring methodologies for the seamless fusion of multimodal data.Such endeavors are poised to usher in a more comprehensive and dependable application of AI in organoid research.In summation,the integration of AI technology introduces unparalleled opportunities to organoid research,resulting in noteworthy advancements.Nevertheless,interdisciplinary research and collaborative efforts remain imperative to navigate challenges and propel the more profound integration of AI into organoid research.The future holds promise for AI to assume an even more prominent role in advancing organoid research toward clinical translation and precision medicine.

BACKGROUND:The implant osseointegration rate of patients with diabetes is low,and the failure rate is high,which seriously affects the quality of life.It is urgent to improve the implant osseointegration of patients with diabetes by effective means to elevate the success rate.Exploring the effect of berberine on the osteogenic differentiation of bone marrow mesenchymal stem cells under a high-glucose environment and its specific mechanism will provide effective theoretical support for solving the above problems. OBJECTIVE:To explore the effect of natural extract berberine on the osteogenic differentiation of rat bone marrow mesenchymal stem cells under the high-glucose microenvironment. METHODS:Bone marrow mesenchymal stem cells of SD rats were cultured by the whole bone marrow adherence method.CCK-8 assay was used to detect the effects of different concentrations of berberine on the proliferation of bone marrow mesenchymal stem cells under the high-glucose environment and to screen out the optimal berberine concentration.The expressions of Runx2 and Osx were detected by alkaline phosphatase activity,alicarin red staining and PCR to determine the effect of berberine on osteogenic differentiation of bone marrow mesymal stem cells under the high-glucose environment.To further explore the underlying mechanism,we introduced the AMPK-specific inhibitor Dorsomorphin and used a DCFH-DA reactive oxygen species fluorescent probe to examine reactive oxygen species levels.The p-AMPK expression was also determined by western blot assay. RESULTS AND CONCLUSION:(1)10 μmol/L was the optimal concentration of berberine to promote bone marrow mesenchymal stem cell proliferation.(2)Alberberine promoted alkaline phosphatase viability of bone marrow mesenchymal stem cells and mineralized nodule formation in a high-glucose microenvironment.(3)Alberberine promoted the expression of Runx2 and OSx in a high-glucose microenvironment.(4)Alberensine effectively inhibited the reactive oxygen species level of bone marrow mesenchymal stem cells in a high-glucose environment.(5)The effects of berberine on promoting bone marrow mesenchymal stem cell osteogenesis and inhibition of reactive oxygen species were reversed by the AMPK inhibitor.(6)Berberine activated AMPK and promoted p-AMPK expression.(7)The above results indicate that berberine(10 μmol/L)promotes the osteogenic differentiation of bone marrow mesenchymal stem cells in a high-glucose environment by activating AMPK and reducing intracellular reactive oxygen species levels.

The gut microbiota is a vast microbial ecosystem,specifically present in the organism and plays an important regulatory role in the body's health or disease state together with its metabolites.After spinal cord injury,the complex pathophysiology at the site of trauma makes axonal regeneration difficult,and the autonomic motor dysfunction induced by spinal cord injury disrupts gastrointestinal function and causes gut microbiota imbalance.The previous clinical outcomes of neurorepair strategies after spinal cord injury have not been ideal.The dysregulated gut microbiota and neuroinflammation after spinal cord injury are closely associated with the prognosis of the patients.The potential mechanisms by which the gut microbiota may influence the neuroinflammation after spinal cord injury may include the activation of gut-associated lymphoid tissue and disruption of the intestinal barrier by the imbalanced microbiota,and gut microbiota and its metabolites such as lipopolysaccharides(LPS),short chain fatty acids(SCFAs),5-hydroxytryptamine(5-HT),and tryptophan,as well as immune cells,inflammatory factors,and neurotransmitters the local inflammatory response in the spinal cord through the circulatory system.This paper revews the studies on the changes in gut microbiota after spinal cord injury and their effects on the spinal cord neuroinflammation,providing new targets and new ideas for improving the neuroinflammation after spinal cord injury.

Objective To investigate the application effect of red furnace massage tank therapy in the patients with wind-cold Bizu type Xiangbi disease.Methods Eighty patients with wind-cold Bizu type Xiangbi disease admitted to this hospital from March 2022 to March 2023 were selected as the study subjects and di-vided into the test group and control group according to the random number table method,40 cases in each group.The control group was given the conventional treatment,the test group was given the red furnace mas-sage tank therapy.The cervical vertebral function symptoms,pain degree and clinical effect on 14 d after inter-vention were evaluated.The patients were followed up in 1 month after intervention.Results After interven-tion,the improvement degree in the test group was superior to that in the control group[total effective rate:100.0％vs.87.5％,VAS score:0.5(0,1.0)point vs.1.0(0,1.0)point,cervical spondylosis symptom scale(NPQ)score:(3.55±1.83)points vs.(5.15±2.99)points,Tanaka Yasuhisa score:(17.05±1.32)points vs.(14.88±2.10)points],and the differences were statistically significant(P＜0.05).No adverse reactions occurred in both groups.Conclusion Red furnace massage tank therapy could effectively improve the pain symptoms and cervical vertebral function of the patients with wind-cold Bizu type Xiangbi disease.

Objective:To investigate the iodine nutritional status of pregnant women in Hengshui City, so as to provide a basis for adjusting the prevention and control strategies of iodine deficiency disorders in key populations in Hengshui City.Methods:Using a cross-sectional survey method, 100 pregnant women were randomly selected from iodine deficient counties (cities, districts) in Hengshui City from 2017 to 2023 each year. Random urine samples and household salt samples were collected once a year to measure urine iodine and salt iodine levels. The iodine nutritional status of pregnant women was evaluated and influencing factors were analyzed.Results:A total of 6 570 urine samples from pregnant women were tested, with a median urinary iodine level of 158.5 μg/L. Pregnant women with urinary iodine levels below 150 μg/L accounted for 46.0% of the total population (3 022/6 570). There was a statistically significant difference in the median urinary iodine levels among pregnant women in different years ( H = 51.52, P < 0.001), but there was no statistically significant difference in the median and frequency distribution of urinary iodine among pregnant women in different age groups ( Z = - 1.34, P = 0.181; χ 2 = 1.35, P = 0.717). There was a statistically significant difference in the median urinary iodine levels among pregnant women during different stages of pregnancy ( H = 10.61, P = 0.005), with the median urinary iodine levels in early pregnancy being higher than those in late pregnancy. Spearman rank correlation analysis results showed that the urinary iodine level of pregnant women was positively correlated with the edible salt iodine level ( r = 0.08, P < 0.001). Conclusions:The overall iodine nutrition level of pregnant women in Hengshui City has reached the recommended adequate level (150 - 249 μg/L), but some pregnant women still face the risk of iodine deficiency. We should pay more attention and do a good job in supplementing iodine for pregnant women during pregnancy.

Background The mental health problems of employees in administrative organs and public institutions are highly valued.However,there is a lack of understanding regarding the mental health status of employees in provincial and municipal administrative organs and public institutions in Qinghai region.Objective To analyze the anxiety and depression of employees in provincial and municipal administrative organs and public institutions in Qinghai region,so as to provide references for promoting their mental health and intervening in psychological problems.Methods From October 23 to 28,2022,a total of 3 096 employees in provincial and municipal administrative organs and public institutions in Qinghai region were enrolled using stratified cluster sampling technique,and were assessed using Self-rating Anxiety Scale(SAS)and Self-rating Depression Scale(SDS).Results A total of 1797(58.04％)employees in municipal and above administrative organs and public institutions in Qinghai region completed a valid questionnaire survey.Depressive symptoms were noted in 579(32.22％).SDS scores yielded statistical difference among the selected employees of different ethnicities,types of job positions and educational levels(F=9.074,101.488,4.477,P<0.01),and the severity of depressive symptoms also demonstrated statistical difference among the selected employees with different ethnicities,educational levels and types of job positions(H=49.196,17.028,160.848,P<0.01).Anxiety symptoms were detected in 711(39.57％)employees.SAS scores exhibited statistical difference among the employees with different genders,ages,ethnicities,educational levels,marital status and types of job positions(t=-4.571,F=6.648,3.950,5.243,12.008,22.253,P<0.01).Statistical differences were also illustrated in the severity of anxiety symptoms among the selected employees with different ages,genders,ethnicities,educational levels,marital status and types of job positions(H=24.361,-3.788,28.365,24.268,25.976,56.204,P<0.01).Conclusion About one-third of employees in municipal and above administrative organs and public institutions in Qinghai region may have symptoms of depression and anxiety.The depression symptoms are more severe among Tibetan people,those with low education levels and ordinary civil servants.The anxiety symptoms are more severe among employees aged 30 and below,those with low education levels,unmarried and those in technical positions.

Objectives:To explore the antitumor effects of redox-responsive nanoparticles containing platinum(Ⅳ)—NP@Pt(Ⅳ) in ovarian cancer.Methods:Redox-responsive polymer carriers were synthesized. Polymer carriers and platinum(Ⅳ)—Pt(Ⅳ) can self-assemble into NP@Pt(Ⅳ). Inductively coupled plasma mass spectrometry was performed to detect the platinum release from NP@Pt(Ⅳ) in reducing environment and the platinum content in ovarian cancer cells ES2 treated with cisplatin, Pt(Ⅳ) and NP@Pt(Ⅳ). The proliferation ability of the ovarian cancer cells were detected by 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay. Cellular apoptosis was assessed by flow cytometry. Collection of primary ovarian cancer tissues from patients with primary high-grade serous ovarian cancer who were surgically treated at the Cancer Hospital of the Chinese Academy of Medical Sciences from October to December 2022. The high-grade serous ovarian cancer patient-derived xenograft (PDX) mice were intravenously injected with Cy7.5 labeled NP@Pt(Ⅳ) followed by in vivo imaging system. Mice were treated with PBS, cisplatin and NP@Pt(Ⅳ). Tumor volume and weight were measured in each group. Necrosis, apoptosis and cell proliferation of tumor tissues were detected by hematoxylin-eosin (HE) staining, TUNEL fluorescence staining and Ki-67 immunohistochemistry staining. Body weight and HE staining of heart, liver, spleen, lung and kidney of mice in each group were measured.Results:The platinum release of NP@Pt(Ⅳ) after 48 hours in reducing environment was 76.29%, which was significantly higher than that of 26.82% in non-reducing environment ( P<0.001). The platinum content in ES2 cells after 4 hours and 7 hours of treatment with NP@Pt(Ⅳ) (308.59, 553.15 ng/million cells) were significantly higher than those of Pt(Ⅳ) (100.21, 180.31 ng/million cells) and cisplatin (43.36, 50.36 ng/million cells, P＜0.05). The half inhibitory concentrations of NP@Pt(Ⅳ) in ovarian cancer cells ES2, A2780, A2780DDP were 1.39, 1.42 and 4.62 μmol/L, respectively, which were lower than those of Pt(IV) (2.89, 7.27, and 16.74 μmol/L) and cisplatin (5.21, 11.85, and 71.98 μmol/L). The apoptosis rate of ES2 cells treated with NP@Pt(Ⅳ) was (33.91±3.80)%, which was significantly higher than that of Pt(Ⅳ) [(16.28±2.41)%] and cisplatin [(15.01±1.17)%, P＜0.05]. In high-grade serous ovarian cancer PDX model, targeted accumulation of Cy7.5 labeled NP@Pt(Ⅳ) at tumor tissue could be observed. After the treatment, the tumor volume of mice in NP@Pt(IV) group was (130±98) mm 3, which was significantly lower than those in control group [(1 349±161) mm 3, P<0.001] and cisplatin group [(715±293) mm 3, P=0.026]. The tumor weight of mice in NP@Pt(IV) group was (0.17±0.09)g, which was significantly lower than those in control group [(1.55±0.11)g, P<0.001] and cisplatin group [(0.82±0.38)g, P=0.029]. The areas of tumor necrosis and apoptosis in mice treated with NP@Pt(Ⅳ) were higher than those in mice treated with cisplatin. Immunohistochemical staining revealed that there were low expressions of Ki-67 at tumor tissues of mice treated with NP@Pt(Ⅳ) compared with cisplatin. The change in body weight of mice in NP@Pt(Ⅳ) group was not significantly different from that of the control group [(18.56±2.04)g vs.(20.87±0.79)g, P=0.063]. Moreover, the major organs of the heart, liver, spleen, lung, and kidney were also normal by HE staining. Conclusion:Redox-responsive NP@Pt(Ⅳ), produced in this study can enhance the accumulation of cisplatin in ovarian cancer cells and improve the efficacy of ovarian cancer chemotherapy.

Purpose: The risk stratification of pediatric anaplastic large cell lymphoma (ALCL) has not been standardized. In this study, new risk factors were included to establish a new risk stratification system for ALCL, and its feasibility in clinical practice was explored. Materials and Methods: On the basis of the non-Hodgkin’s lymphoma Berlin–Frankfurt–Munster 95 (NHL-BFM-95) protocol, patients with minimal disseminated disease (MDD), high-risk tumor site (multiple bone, skin, liver, and lung involvement), and small cell/lymphohistiocytic (SC/LH) pathological subtype were enrolled in risk stratification. Patients were treated with a modified NHL-BFM-95 protocol combined with an anaplastic lymphoma kinase inhibitor or vinblastine (VBL). Results: A total of 136 patients were enrolled in this study. The median age was 8.8 years. The 3-year event-free survival (EFS) and overall survival of the entire cohort were 77.7% (95% confidence interval [CI], 69.0% to 83.9%) and 92.3% (95% CI, 86.1% to 95.8%), respectively. The 3-year EFS rates of low-risk group (R1), intermediate-risk group (R2), and high-risk group (R3) patients were 100%, 89.5% (95% CI, 76.5% to 95.5%), and 67.9% (95% CI, 55.4% to 77.6%), respectively. The prognosis of patients with MDD (+), stage IV cancer, SC/LH lymphoma, and high-risk sites was poor, and the 3-year EFS rates were 45.3% (95% CI, 68.6% to 19.0%), 65.7% (95% CI, 47.6% to 78.9%), 55.7% (95% CI, 26.2% to 77.5%), and 70.7% (95% CI, 48.6% to 84.6%), respectively. At the end of follow-up, one of the five patients who received maintenance therapy with VBL relapsed, and seven patients receiving anaplastic lymphoma kinase inhibitor maintenance therapy did not experience relapse. Conclusion This study has confirmed the poor prognostic of MDD (+), high-risk site and SC/LH, but patients with SC/LH lymphoma and MDD (+) at diagnosis still need to receive better treatment (ClinicalTrials.gov number, NCT03971305).

Objective: Depression was common during coronavirus disease-2019 (COVID-19) pandemic, while the association of perceived stress with depression among vaccinated healthcare workers has not been investigated. This study aimed to address this issue. Methods: We included a total of 898 fully vaccinated healthcare workers during the outbreak of severe acute respiratory syndrome coronavirus 2 Delta variant in Nanjing, 2021. Depression was ascertained by Patient Health Questionnaire-9, with a cut-off score of ≥5 indicative of mild-to-severe depression. Perceived stress, resilience, and compassion fatigue were assessed by Perceived Stress Scale-10, Resilience Scale-25, and Professional Quality of Life Scale version-5, respectively. Logistic regression analyses were used to estimate the odds ratio (OR) and 95% confidence interval (CI), along with subgroup and mediation analyses. Results: The prevalence of mild-to-severe depression was 41.1% in vaccinated healthcare workers. The odd of mild-to-severe depression was increased with higher perceived stress. Compared with vaccinated healthcare workers with the lowest tertile of perceived stress, those with the highest tertile had increased odds of mild-to-severe depression by 120% (OR 2.20, 95% CI 1.46 to 3.31) after multivariable-adjustment. However, perceived stress was not associated with mild-to-severe depression in vaccinated healthcare workers with strong resilience, but was in those with weak resilience (pinteraction=0.004). Further analysis showed that compassion fatigue mediated the relationship between perceived stress and mild-to-severe depression, with a mediating effect of 49.7%. Conclusion Perceived stress was related to an increased odd of mild-to-severe depression in vaccinated healthcare workers during COVID-19 pandemic, and this relationship might be explained by compassion fatigue.