Objective:To explore the association between occupational noise perception and cardiovascular disease (CVD), depression symptoms, as well as their comorbidity in occupational population and provide evidence for the prevention and control of physical and mental illnesses.Methods:A cross-sectional survey design was adopted, based on baseline data in population in 28 prefectures in Sichuan Province and Guizhou Province, and 33 districts (counties) in Chongqing municipality from Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd. during October to December 2021. A questionnaire survey was conducted to collect information about noise perception, depressive symptoms, and the history of CVD. Latent profile analysis model was used to determine identify noise perception type, and multinomial logistic regression analysis was conducted to explore the relationship between different occupational noise perception types and CVD, depression symptoms and their comorbidity.Results:A total of 30 509 participants were included, the mean age was (36.6±10.5) years, and men accounted for 82.0%. The direct perception of occupational noise, psychological effects and hearing/sleep impact of occupational noise increased the risk for CVD, depressive symptoms, and their comorbidity. By using latent profile analysis, occupational noise perception was classified into four levels: low, medium, high, and very high. As the level of noise perception increased, the association with CVD, depressive symptoms, and their comorbidity increased. In fact, very high level occupational noise perception were found to increase the risk for CVD, depressive symptoms, and their comorbidity by 2.14 (95% CI: 1.73-2.65) times, 8.80 (95% CI: 7.91-9.78) times, and 17.02 (95% CI: 12.78-22.66) times respectively compared with low-level occupational noise perception. Conclusions:Different types of occupational noise perception are associated with CVD and depression symptom, especially in the form of CVD complicated with depression symptom. Furthermore, the intensity of occupational noise in the work environment should be reduced to lower the risk for physical and mental health.

Objective:To understand the influence of unhealthy lifestyle on diabetic dyslipidemia and the key influencing factors in occupational population and provided scientific evidence for the prevention of diabetic dyslipidemia.Methods:Based on baseline data and follow-up data of Southwest Occupational Population Cohort from China Railway Chengdu Group Co., Ltd. during 2021. Diabetic dyslipidemia was defined as diabetes plus one or more forms of dyslipidemia, and unhealthy lifestyle factors included smoking, alcohol consumption, unhealthy dietary patterns, low physical activity, and abnormal BMI. Multivariate logistic regression model was used to analyze the relationship between unhealthy lifestyle scores and diabetic dyslipidemia, network analysis was used to find and explore the key lifestyles influencing glycolipid metabolism.Results:A total of 25 631 subjects were included. People with unhealthy lifestyle score 2 and 3 were 1.93 (95% CI: 1.31-2.86) times and 2.37 (95% CI: 1.60-3.50) times more likely to have diabetes with ≥1 forms of dyslipidemia than those with scores of 0; People with unhealthy lifestyle score 1, 2 and 3 were 1.98 (95% CI: 1.08-3.61) times, 2.87 (95% CI: 1.60-5.14) times and 3.95 (95% CI: 2.22-7.06) times more likely to have diabetes with ≥2 forms of dyslipidemia than those with score 0. Network analysis found that abnormal BMI and HDL-C were the "bridge nodes" that link unhealthy lifestyles with diabetic dyslipidemia. Conclusion:The higher the score of unhealthy lifestyle, the higher the risk for diabetic dyslipidemia, abnormal BMI and HDL-C are key factors influencing the association between unhealthy lifestyle and diabetic dyslipidemia.

This study aimed to determine the drug resistance phenotype and genetic characteristics of Listeria monocytogenes ST5 LK100 isolated from a neonate,which provided a basis for the diagnosis and treatment of L.monocyto-genes infection and to enhance the understanding of the genomic characteristics of this strain.A suspected L.monocytogenes strain was isolated from the gastric juice sample of an infected neonate,and identified with a VITEK2 Compact automatic mi-crobial identification instrument and 16S RNA sequencing.Five drug sensitivity tests were conducted on the identified strain with the E-test method.Additionally,the whole genome of the strain was sequenced using a third-generation sequencing plat-form.The antibiotic resistance elements of the strain were identified by BlastN with the CARD antibiotic resistance gene data-base.The multilocus sequence typing(MLST),serotyping,and virulence genes of the strain was determined by Pasteur da-tabase,the virulence gene distribution was analyzed using the virulence analysis website.The prophages of the strain were predicted and annotate by PHASTER online website.The strain(LK100)isolated from the neonate was identified as L.monocytogenes.This strain was sensitive to penicillin,ampicil-lin,meropenem,erythromycin,and trimethoprim-sulfame-thoxazole antibiotics.The MLST type and serotype was ST5 and 1/2b-3b,respectively.The total length of the chromoso-mal genome of LK100 was 3 032 582 bp with a GC content of 37.91％,and it contained a complete circular plasmid with a se-quence length of 52 822 bp.The strain LK100 carried complete InlA protein,LIPI-1 pathogenicity island,SSI-1 stress survival island,and an LGI2 genomic island.The intrinsic antibiotic resistance genes were mainly located on the chromosome.Five prophage sequences were predicted in the LK100 genome.This study identified a strain of ST5 L.monocytogenes LK100 from an infected neonate and characterized its genome and antibiotic sensitivity,laying the foundation for further research on ST5 L.monocytogenes.

Objective To carry out rigid-body inverse dynamics modelling and analysis of a self-designed 6RSS parallel bio-inspired masticatory robot.Methods Firstly,the functions of kinematic variables including translational/rotational velocities and accelerations were derived for rigid-body inverse dynamics modelling.Secondly,the rigid-body inverse dynamics model was established with the Newton-Euler's law.Finally,the chewing motion trajectories of the oral health volunteers were tracked and numerical calculations were carried out in the case where the robot was subjected to a chewing reaction force.Results Numerical calculations showed that the driving torque and the constraint force of the robot peaked when the chewing reaction force was at its maximum.Conclusion The external force has a large impact on the inverse dynamics of the robot,and theoretical references are provided for the motion control and optimal design of the robot.[Chinese Medical Equipment Journal,2024,45(3):16-22]

Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult ; Humans ; Adolescent ; Imatinib Mesylate/adverse effects* ; Incidence ; Antineoplastic Agents/adverse effects* ; Retrospective Studies ; Pyrimidines/adverse effects* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy* ; Treatment Outcome ; Benzamides/adverse effects* ; Leukemia, Myeloid, Chronic-Phase/drug therapy* ; Aminopyridines/therapeutic use* ; Protein Kinase Inhibitors/therapeutic use*

Objective To establish and validate the nomogram prediction model of degenerative lumbar disc disease in young and middle-aged people.Methods From January 2020 to March 2022,232 young and middle-aged people who were examined with MRI of lumbar intervertebral disc and standard standing position lumbar anteroposterior and lateral X-ray films in Suzhou Ninth Hospital Affiliated to Soochow University were selected as the study subjects.Collecting the factors that may affect the occurrence of degenerative lumbar disc disease in young and middle-aged people,the people were divided into degenerative disease group(n=78)and non-degenerative disease group(n=154)according to the presence or absence of degenerative lumbar disc disease.Influencing factors were compared between the two groups,the independent influencing factors screened out by multifactor logistic regression,the nomograph model was constructed by R software,and the model verified.Results Among 232 young and middle-aged people included in this study,78(33.6%)had degenerative lumbar disc diseases.The results of multivariate logistic regression analysis showed that the increase of BMI,sedentariness,the increase of IL-1β level were the risk factors of degenerative lumbar disc disease in young and middle-aged people;the increase of pelvic incidence angle and the increase of miRNA-142-3p level were protective factors for degenerative lumbar disc disease in young and middle-aged people(P<0.05).The nomogram model was constructed according to the results of multifactor analysis.ROC results showed that AUC was 0.889(95%CI 0.844-0.933,P<0.05),the average absolute error of internal validation was 0.017,the prediction curve was basically fitted with the standard curve,and the H-L goodness of fit test showed that the model was consistent(P>0.05).The decision curve shows that the clinical benefit rate is the highest when the model prediction probability threshold is 0.16-0.80.Conclusions Degenerative lumbar disc disease in young and middle-aged people is affected by such factors as BMI,sedentariness,and incidence angle of pelvis,and the nomogram model established based on this has high differentiation and accuracy of prediction.

Taking the Chinese city of Xiamen as an example, simulation and quantitative analysis were performed on the transmissions of the Coronavirus Disease 2019 (COVID-19) and the influence of intervention combinations to assist policymakers in the preparation of targeted response measures. A machine learning model was built to estimate the effectiveness of interventions and simulate transmission in different scenarios. The comparison was conducted between simulated and real cases in Xiamen. A web interface with adjustable parameters, including choice of intervention measures, intervention weights, vaccination, and viral variants, was designed for users to run the simulation. The total case number was set as the outcome. The cumulative number was 4,614,641 without restrictions and 78 under the strictest intervention set. Simulation with the parameters closest to the real situation of the Xiamen outbreak was performed to verify the accuracy and reliability of the model. The simulation model generated a duration of 52 days before the daily cases dropped to zero and the final cumulative case number of 200, which were 25 more days and 36 fewer cases than the real situation, respectively. Targeted interventions could benefit the prevention and control of COVID-19 outbreak while safeguarding public health and mitigating impacts on people's livelihood.
COVID-19/prevention & control* ; China/epidemiology* ; Humans ; Machine Learning ; Pandemics/prevention & control* ; Policy ; Reproducibility of Results ; SARS-CoV-2

Metabolic changes are recognized as one of the hallmarks of cancer cells. Previous studies have shown that hypoxia can change the glucose metabolism of cancer cells. However, the mechanisms still need to be studied in detail. In this study, by using RNA-Sequencing (RNA-seq) and bioinformatics analysis, we found that there is a significant change in the expression of 334 genes in BT549 cells and 215 genes in MDA-MB-231 cells induced by hypoxia at the mRNA level. Most of these genes were associated with glucose metabolism. RNA-seq data, Western blot, enzyme activity assays, and metabolite quantification experiments showed that the glucose uptake increased by elevating the expression of glucose transporter protein 1 (GLUT1) in BT549 cells and GLUT1 and GLUT3 in MDA-MB-231 cells induced by hypoxia. Hypoxia promotes glycolysis by increasing the expression of at least one isozyme or enzyme protein subunit of the enzymes that catalyze the each reaction in the glycolysis pathway, as well as the regulatory enzymes 6-phosphofructo-2-kinase/fructose-2, 6-biphosphatase 3 (PFKFB3) and 4 (PFKFB4) isozymes. Hypoxia increases the expression of pyruvate dehydrogenase kinase 1 (PDK1) and PDK3 and reduces the expression of isocitrate dehydrogenase 3(IDH3), succinate dehydrogenase subunit B(SDHB) and D(SDHD) to reduce the aerobic oxidation pathway. The expression of glucose-6-phosphate dehydrogenase (G6PD) and glycogen synthase was significantly increased to promote the pentose phosphate pathway and glycogen synthesis pathway. The mRNA levels of enzyme genes had no significant difference in gluconeogenesis and glycogenolysis. The breast cancer database suggests that the mRNA levels of the glucose metabolism enzymes were consistent in vivo and in vitro. Hypoxia regulates the reprogramming of glucose metabolism by altering the gene expression of isozymes or subunits of these enzymes. The study comprehensively analyzed the effects of hypoxia on the expression of all enzyme genes and major regulatory enzymes in six glucose metabolism pathways and provides an understanding of glucose metabolism in cancer cells under a hypoxia environment.

The chemical constituents from the leaves of Ilex guayusa were investigated. Sixteen triterpenoids were isolated from the 95% ethanol extract of dried leaves of I. guayusa by silica gel, Sephadex LH-20, and ODS column chromatographies and semi-prepa-rative HPLC. Those triterpenoids were identified by NMR, HR-MS, and literature analysis: 3β-hydroxy-11α,12α-epoxy-24-nor-urs-4(23)-ene-28,13β-olide(1), 3β-hydroxy-24-nor-4(23),12-oleanadien-28-methyl ester(2), oleanolic acid(3), 3β,28-dihydroxy-12-oleanene(4), 2α,3β-dihydroxy-11α,12α-epoxy-24-'nor-olean-4(23)-ene-28,13β-olide(5), ursolic acid(6), 3β,23-dihydroxy ursolic acid(7), 3β,28-dihydroxy-12-ursene(8), 3β-28-nor-urs-12-ene-3,17-diol(9), 3β-hydroxyurs-11-ene-28,13β-olide(10), 13β,28-epoxy-3β-hydroxy-11-ursene(11), 3β-hydroxy-28,28-dimethoxy-12-ursene(12), 3β-hydroxy-24-nor-urs-4(23),12-dien-28-oic acid(13), 3β-hydroxy-24-nor-urs-4(23),12-dien-28-methyl ester(14), 2α,3β-dihydroxy-11α,12α-epoxy-24-nor-urs-4(23)-ene-28,13β-olide(15) and 2α,3β-dihydroxy-11α,12α-epoxy-24-nor-urs-4(23),20(30)-dien-28,13β-olide(16). Compounds 1-2 were new compounds, and compounds 4-5, 7 and 9-16 were isolated from I. guayusa for the first time.
Drugs, Chinese Herbal ; Ilex guayusa ; Molecular Structure ; Oleanolic Acid ; Plant Leaves ; Triterpenes

Objective: To investigate the clinicopathological characteristics and prognosis of sporadic multiple primary gastrointestinal stromal tumor (GIST). Methods: A retrospective cohort study was conducted. Case inclusion criteria: (1) postoperative pathological diagnosis of GIST; (2) primary GIST with single lesion or sporadic multiple primary GIST (sporadic GIST was defined as primary GIST other than familial and syndrome-related GIST, and multiple primary GIST was defined as the number of primary GISTs in the same patient ≥ 2); (3) patients with complete clinicopathological data. Those with tumor recurrence or distant metastasis, and with other malignancies were excluded. Medical records of patients with primary GIST who underwent surgical resection in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from January 2010 to December 2020 were collected. Patients were divided into sporadic multiple primary GIST group and single primary GIST group according to the number of primary GIST lesions. The clinicopathological data and prognosis of the two groups were observed and compared. Results: A total of 1200 patients with primary GIST were enrolled in this study, including 628 males (52.3%) and 572 females (47.7%), with a median onset age of 58 (19-93) years. Among them, 1165 cases (97.1%) were sporadic primary GIST with single lesion; 35 cases (2.9%) were sporadic multiple primary GIST. Among 35 cases of sporadic multiple primary GIST, 3 cases (8.6%) had acid reflux as the first symptom, which was higher than the single primary GIST group (22/1165, 1.9%) (χ(2)=7.437, P=0.006). There were no significant differences in other clinical characteristics between the two groups (all P>0.05). Patients in the sporadic multiple primary GIST group contained a total of 80 primary tumors. Compared with the single primary GIST group, the sporadic multiple primary GIST group had a higher proportion of tumors originating in the stomach [87.5% (70/80) vs. 59.1% (689/1165)], lower proportion of spindle cell in histology [85.0% (68/80) vs. 93.7% (1092/1165)], higher proportion of positive CD34 [97.5% (78/80) vs. 87.6% (1021/1165)], smaller maximum diameter [maximum diameter ≤2.0 cm: 61.2% (49/80) vs. 28.8% (335/1165)], lower mitotic rate [≤5/50 high-power fields (HPF): 93.8% (75/80) vs. 74.5% (868/1165)], lower risk of recurrence [60.0% (48/80) vs. 23.3% (271/1165)], and the differences were all statistically significant (all P<0.05). The 3-year recurrence-free survival rate in the sporadic multiple primary group and the single primary GIST group was 96.6% and 89.3% respectively (P=0.160), and the 3-year overall survival rate was 100.0% and 92.8%, respectively (P=0.088). Conclusions: The most common type of sporadic multiple primary GIST is multiple tumors originating in the stomach at the same time. Compared with primary GIST with single lesion, sporadic multiple primary GIST presents smaller maximum diameter and lower mitotic rate. The prognosis of patients between two groups is not significantly different.
Aged ; Aged, 80 and over ; Female ; Gastrointestinal Stromal Tumors ; Humans ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Neoplasms, Multiple Primary ; Prognosis ; Retrospective Studies