Objective To investigate the prevalence of work-related musculoskeletal disorders (WMSDs) in passenger drivers and its influencing factors. Methods A total of 951 passenger drivers in Guangdong Province were selected as the research subjects using the judgmental sampling method. A Musculoskeletal Injury Questionnaire was employed to assess the prevalence of WMSDs in the past year. Results The prevalence of WMSDs in passenger drivers was 41.11%. The result of multivariable logistic regression analysis showed that married drivers had a higher risk of WMSDs than single drivers (P<0.05). The lower the frequency of physical exercise, the longer the driving time per week, the longer the continuous driving time, the more restricted the driving working space, the poorer the foot comfort during driving, and the more affected the normal meal, the higher the risk of WMSDs (all P<0.05). The risk of WMSDs in drivers with sleep time ≤ 8.0 h/d was higher than that in drivers with sleep time > 8.0 h/d (P<0.01), and the risk of WMSDs in drivers with the same posture for a long time on the shoulder was higher than that in drivers without this poor working posture (P<0.01). Conclusion WMSDs were prevalent among passenger drivers, which was associated with demographic and adverse ergonomic factors. Intervention on lifestyle and adverse ergonomic factors could further reduce the risk of WMSDs of passenger drivers.

Comprehensive occupational hazard risk assessment in employers is a core component of the pilot program for occupational health classification supervision and law enforcement. The quality and effectiveness of classification-based supervision are directly affected by both the assessment process and its outcomes. However, several issues have emerged since the implementation of the pilot program on the comprehensive risk assessment, including an excessive number of self-assessment items, lack of implementation basis for certain self-assessment items, misinterpretation for certain self-assessment items, inconsistencies between evaluation criteria and existing standards, incomplete implementation of some items, omission of comprehensive risk assessment elements, unclear definitions of key industries and key occupational hazards, and inconvenient assessment procedures on comprehensive risk assessment. To enhance the applicability, accuracy, and objectivity of the comprehensive risk assessments conducted by employers, it is recommended to optimize self-assessment items, standardize risk assessment content, tailor comprehensive risk assessments to actual workplace conditions, refine the identification of key industries and key occupational hazards, improve comprehensive risk assessment methodologies, and establish clear grading rules for the comprehensive risk assessment.

Objective To construct reference ranges of cardiac size and morphologic parameters in low-risk fetuses at 28-39 gestational weeks using two-dimensional speckle tracking technique.Methods A prospective collection of 453 low-risk singleton pregnancies with echocardiography at Obstetrics and Gynecology Hospital,Fudan University was used to assess the size(length,width,and area)and morphology(sphericity index,i.e.,the ratio of length to width)of the fetal four-chamber view and two ventricles using two-dimensional speckle tracking technique.Repeated inter-and intra-observer agreement of measurements was assessed using the intraclass correlation coefficients(ICCs).Statistical analysis of cardiac measurement parameters was performed to establish reference ranges of values for cardiac size and morphology in low-risk fetuses.Results The inter-and intra-group ICCs for reproducibility tests of fetal cardiac parameters measurements were 0.691 to 0.980.Fetal four-chamber view and ventricular size increased with gestational week(all P<0.001),the end-diastolic length of the left ventricle was larger than that of the right ventricle,and the end-diastolic diameter was smaller than that of the right ventricle(both P<0.001),while there was no significant difference in the end-diastolic area of the two ventricles(P= 0.050).The spherical index of four-chamber view did not correlate with gestational week(P=0.811).The sphericity index of the basal and intermediate segments of the left ventricle was greater than that of the right ventricle,and the sphericity index of the apical segment was less than that of the right ventricle,the differences were statistically significant(all P<0.01).Conclusion The two-dimensional speckle tracking technique for measuring fetal cardiac parameters has good reproducibility.The reference ranges for cardiac size and morphology in low-risk fetuses developed in this study will be useful for prenatal evaluation of cardiac remodeling.

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Obiective Alzheimer’s disease (AD) is a degenerative disease of the central nervous system (CNS) caused by a variety of risk factors. There are various pathological changes, but apoptosis of the neurological meridian cells is one of the most important pathological bases. Hyperlipidemia is a high-risk factor for the development of AD, which can lead to increased levels of oxidized low-density lipoprotein (ox-LDL) in brain tissues. PCSK9 is a protease closely related to lipid metabolism, but studies have shown that it may be related to the development of AD. LRP1 is abundantly expressed in neuronal cells, and it is an important transporter for the clearance of Aβ. There is now a large amount of literature confirming that PCSK9 can induce the degradation of LRP1. PI3K/AKT is an important signaling pathway in vivo, which plays an important role in apoptosis, and there is now a large amount of literature confirming that LRP1 activates the PI3K/AKT pathway, which has an anti-apoptotic effect. So can PCSK9 affect the PI3K/AKT pathway through LRP1 and thus regulate neuronal apoptosis? This deserves further investigation.The aim of this study was to explore the role of PCSK9 in mediating ox-LDL pro-apoptotic neuronal cell death and its mechanism, and then further elaborate the mechanism of hyperlipidemia leading to neurodegenerative diseases such as AD. MethodsFirstly, PC12 cells were treated with different concentrations of ox-LDL (0, 25, 50, 75 and 100 mg/L) for 24 h. Oil red O staining was used to detect lipid accumulation in PC12 cells, Hoechst33258 staining and flow cytometry to detect apoptosis in PC12 cells, ELISA to detect the content of Aβ secreted by PC12, Western blot to detect expression of SREBP2, PCSK9 and LRP1. Then PC12 cells were treated with 75 mg/L ox-LDL for different times (0, 6, 12, 24, 48 h), and Western blot were performed to detect the expression of SREBP2, PCSK9 and LRP1. Finally, after transfecting 100 nmol/L PCSK9 siRNA into PC12 cells for 48 h, PC12 cells were treated with 75 mg/L ox-LDL for 24 h, Hoechst33258 staining and flow cytometry to detect apoptosis rate of PC12 cells, and Western blot to detect PCSK9, LRP1, PI3K, AKT, P-PI3K , P-AKT, NF-κB, Bcl-2, Bax, Caspase-9 and Caspase-3 expression, and ELISA detected Aβ content secreted by PC12 cells. Resultsox-LDL increased lipid accumulation and promoted apoptosis and Aβ secretion in PC12 cells, as well as increasing the expression of SREBP2 and PCSK9 and decreasing the expression of LRP1 in PC12 cells. pCsk9 siRNA could be inhibited through the PI3K/AKT pathway and the NF-κB-Bcl-2/Bax-Caspase-9/3 pathway to inhibit ox-LDL-induced apoptosis in PC12 cells while increasing Aβ secretion in PC12 cells. Conclusionox-LDL plays a bidirectional regulatory role in ox-LDL-induced apoptosis of PC12 cells by inducing an increase in PCSK9 expression and a decrease in LRP1 expression in PC12 cells, which in turn affects different signaling pathways downstream.

Objective To explore the anti-inflammatory mechanism of the active ingredients of Gubi Formula in treating osteoarthritis.Methods Normal human chondrocytes were cultured in vitro,and lipopolysaccharide(LPS)stimulated inflammation.The cells were divided into control group(normal culture),model group(10 μg·mL-1 LPS),quercetin group(10 μg·mL-1 LPS+8 μmol·L-1 quercetin),formononetin group(10 μg·mL-1 LPS+50 μmol·L-1 formononetin),naringin group(10 μg·mL-1 LPS+10 μmol·L-1 naringin),asperosaponin Ⅵ group(10 μg·mL-1 LPS+50 pmol·L-1 asperosaponin Ⅵ),β-ecdysterone group(10 μg·mL-1 LPS+50 μmol·L-1β-ecdysterone).Cell counting kit-8(CCK8)was used to detect the viability of chondrocytes.Western blot was used to detect the expression of nuclear factor NF-kappa-B p65 subunit(p65),nuclear factor erythroid 2-related factor 2(Nrf2)nuclear protein.Results The cell viability of control group,model group,quercetin group,formononetin group,naringin group,Dipsacoside Ⅵ group,β-ecdysterone group were(103.10±8.55)％,(62.41±2.35)％,(76.92±1.74)％,(77.01±0.60)％,(80.39±3.06)％,(79.43±0.94)％,(55.20±0.99)％;the relative expression of Nrf2 protein were 1.00±0.00,1.01±0.09,1.30±0.15,0.91±0.15,1.23±0.25,0.71±0.19,1.51±0.13,1.26±0.15;the relative expression of P65 protein were 1.00±0.00,2.24±0.85,0.74±0.33,1.49±0.29,0.97±0.06,1.33±0.07,1.67±0.22,1.52±0.17;the relative expression of inflammatory mediators iNOS were 1.00±0.00,1.52±0.27,1.07±0.24,1.25±0.12,1.01±0.30,1.44±0.12,1.07±0.18,1.11±0.16.The above indexes in quercetin group,formononetin group and naringin group were significantly different from those in model group(P＜0.05,P＜0.01 and P＜0.001).Compared with the model group,there was no significant difference in the above indexes between the Asperosaponin Ⅵ group and theβ-ecdysterone group(all P＞0.05).Conclusion The active components of Gubi Formula,including quercetin,mangiferin,and naringin,can activate Nrf2-HO-1 signaling and inhibit the activation of the Nuclear factor-κB(NF-κB)pathway plays an anti-inflammatory role in alleviating osteoarthritis.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

Objective To explore the differences in curative effect of lanthanum carbonate and calcium carbonate on hyperphosphatemia in patients with end-stage renal disease(ESRD)after maintenance hemodialysis(MHD).Methods Patients with hyperphosphatemia after MHD treatment of ESRD were divided into treatment group and control group.Treatment group was given lanthanum carbonate chewable tablet orally,250 mg each time,tid;the control group was given calcium carbonate chewable tablets orally,500 mg each time,bid.Both groups were treated continuously for 3 months.The clinical efficacy,calcium and phosphorus metabolism,vascular sclerosis indexes[brachial ankle pulse wave conduction velocity(baPWV),ankle brachial index(ABI),homocystine(Hcy)],serum renal function indexes[[32 microglobulin(β2-MG),serum creatinine(SCr),blood urea nitrogen(BUN)],serum inflammation indexes[hypersensitive C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6)],and the safety was evaluated.Results There were 104 cases in the treatment group and 96 cases in the control group.After treatment,the effective rate of the treatment group was 94.23％(98 cases/104 cases)higher than that of the control group 85.42％(82 cases/96 cases),and the difference was statistically significant(P＜0.05).After treatment,the serum phosphorus levels of treatment group and control group were(1.42±0.19)and(1.68±0.20)mmol·L-1,respectively;the serum calcium levels were(2.32±0.30)and(2.49±0.24)mmol·L-1,respectively;the product of calcium and phosphorus were(49.28±6.25)and(52.05±5.60)mg2·dL-2,respectively;the baPWV levels were(1 560.72±114.90)and(1 613.49±109.77)cm·s-1,respectively;ABI levels were 1.20±0.09 and 1.17±0.07,respectively;Hcy levels were(32.02±3.21)and(34.84±2.89)μmol·L-1,respectively.Compared with the control group,there were statistically significant differences in the above indexes in treatment groups(all P＜0.05).After treatment,there was no significant difference in levels of renal function indexes(β2-MG,SCr,BUN)and inflammatory indexes(hs-CRP,TNF-α,IL-6)between the two groups(all P＞0.05).The adverse drug reactions of the treatment group were mainly diarrhea and rash;and the adverse drug reactions of the control group were mainly diarrhea and hypercalcemia.The difference in incidence of adverse drug reactions between control group and treatment group was not statistically significant(2.88％vs 3.13％,P＞0.05).Conclusion Compared with calcium carbonate,improvement effect of lanthanum carbonate is better on phosphorus and calcium-phosphorus metabolism in MHD patients with ESRD and hyperphosphatemia,which can delay the progression of vascular sclerosis.

Objective:To utilize routinely available clinical parameters to uncover the clinical features of different clusters in patients with chronic rhinosinusitis with nasal polyp (CRSwNP) through unsupervised clustering analysis.Methods:The clinical data from 155 CRSwNP patients undergoing nasal endoscopic surgery at Renmin Hospital of Wuhan University from 2021 to 2023 were prospectively collected, including 112 males and 43 females, aged from 7 to 87 years. Unsupervised clustering analysis was conducted using various clinical parameters, including age, gender, smoking and drinking history, local eosinophil (EOS) and neutrophil (NEU) counts, comorbid allergic rhinitis (AR), comorbid asthma, recurrence status, serum-specific IgE, total IgE, cytokine levels, peripheral blood EOS count and percentage, Lund-Mackay CT score, the ratio of CT scores for the maxillary sinus and ethmoid sinus (E/M ratio), visual analogue scale (VAS) score, Lund-Kennedy endoscopic score, and other common clinical indicators to elucidate the clinical characteristics of each cluster. Statistical analysis was conducted using GraphPad Prism 9.5 software.Results:Hierarchical clustering analysis identified four main clusters (Cluster A1-A4), showcasing distinct characteristics such as mild nasal polyps with higher peripheral blood cytokines levels, nasal polyps accompanied by allergies and asthma, a subtype of nasal polyps with high recurrence rates dominated by neutrophils, and nasal polyps with high eosinophil levels. Further subset clustering revealed two clusters of mild polyps (Cluster B1-B2) featuring high cytokine expression and comorbid AR; and two clusters of severe polyps (Cluster B3-B4) presented with severe symptoms, high Lund-Mackay CT score, and high Lund-Kennedy endoscopic score. Variations between Cluster B3 and B4 included symptom complexity, the degree of eosinophil infiltration, and the probability of comorbid asthma. Further clustering analysis for eosinophilic nasal polyps revealed a cluster characterized by highly neutrophilic infiltration and recurrent nasal polyps. The comprehensive analysis of multi-index correlations demonstrated valuable insights into the relationships between common clinical parameters of nasal polyps, providing valuable information for a deeper understanding of the pathogenesis of CRSwNP.Conclusion:The clustering analysis in this study categorizes CRSwNP patients into different clusters based on clinical features and disease outcomes, providing a new perspective for more precise clinical treatment strategies.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.