Objective To analyze the factors influencing occupational health literacy (OHL), work-related musculoskeletal disorders (WMSDs), and occupational stress in medical staff, and to investigate the potential associations between OHL and WMSDs as well as occupational stress. Methods A total of 880 medical staff members from 18 medical institutions were selected as the study subjects using a probability proportional method. Data on OHL, WMSDs, and occupational stress were investigated using the National Key Populations Occupational Health Literacy Surveillance Individual Questionnaire (including the Musculoskeletal Disorders Questionnaire and the Core Occupational Stress Scale), and the influencing factors and potential relationships were analyzed. Results The OHL level was 63.1%, the prevalence of WMSDs was 88.1%, and the detection rate of occupational stress was 24.0% in the study subjects. Multivariable logistic regression analysis showed that female medical staff had lower OHL levels than males (P<0.05). Medical staff with higher education levels and those working in higher-level medical institutions had higher OHL levels (all P<0.05). Medical staff working >40-<49 hours per week and those working ≥49 hours per week had higher OHL levels than those working ≤40 hours per week (all P<0.01). Medical staff with higher education levels or longer working hours had a higher risk of WMSDs (all P<0.05). Medical staff with lower monthly personal income, longer weekly working hours, and lower OHL levels had a higher risk of occupational stress (all P<0.05), and those working night shifts had a higher risk of occupational stress than those who did not (P<0.01). Conclusion The study participants had a relatively high level of OHL, a high prevalence of WMSDs, and a low detection rate of occupational stress. It is recommended that medical institutions effectively implement occupational health promotion and support measures to improve the OHL level of medical staff, to reduce the risk of WMSDs and occupational stress.

Osteoporosis is a common senile bone metabolism disease， clinically characterized by decreased bone mass， destruction of bone microstructure， increased bone fragility， and easy fracture. It tends to occur in the elderly and postmenopausal women， seriously threatening the quality of life and physical and mental health of the elderly. At present， the treatment of osteoporosis is mainly based on oral western medicines， such as calcium， Vitamin D， and bisphosphonates. Still， there are drawbacks such as a long medication cycle and many adverse reactions. In recent years， due to the advantages of multi-component， multi-pathway， and multi-target， some traditional Chinese medicines and effective ingredients can regulate the osteogenic and osteoclastic differentiation process in both directions and are widely used in the prevention and treatment of osteoporosis. Hippophae rhamnoides is a commonly used herbal medicine， and its fruits are rich in flavonoids， polyphenols， fatty acids， vitamins， and trace elements， which have been proven to have a good anti-osteoporosis effect. Isorhamnetin is the main effective ingredient of Hippophae rhamnoides fruits， which has many pharmacological effects such as anti-inflammation， anti-oxidative stress， anti-aging， and anti-tumor. Studies have shown that isorhamnetin can participate in the regulation of bone metabolism and has a good anti-osteoporosis effect. However， the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis have not been systematically summarized. Therefore， this paper reviewed the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis by referring to relevant literature to provide more basis for the development and application of isorhamnetin.

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndrome elements in type 2 diabetes mellitus （T2DM） patients based on maximum body mass index （maxBMI） and explore their association with complication risks. MethodsA retrospective cross-sectional study was used to collect clinical data from hospitalized T2DM patients， extracting age， gender， smoking history， alcohol consumption history， duration of disease， HbA1c level， complications， and TCM syndromes， and extracting the syndrome elements of disease location and disease nature based on their TCM syndromes. MaxBMI was calculated by telephone survey of patients' self-reported maximum body weight； patients with maxBMI ≥24 kg/m² were classified into spleen-heat syndrome group， and those with maxBMI ＜24 kg/m² were classified into consumptive-heat syndrome group. The distribution of TCM syndrome types and syndrome elements of patients in the two groups were analysed. Then the propensity score matching method was used to balance the baseline characteristics between the two groups and compare the differences in the distribution of syndrome types and syndrome elements and the risk of macrovascular and microvascular complications between the two groups. ResultsAmong the 1178 T2DM patients， syndrome elements in spleen-heat patients （1034 cases） were primarily located in the spleen （351 cases， 33.95%）， liver （240 cases， 23.21%）， and stomach （139 cases， 13.44%）， while in consumptive-heat patients （144 cases）， they were concentrated in the spleen （57 cases， 39.58%）， liver （34 cases， 23.61%）， and kidneys （17 cases， 11.81%）； regarding syndrome elements of disease nature， spleen-heat patients were predominantly characterized by qi deficiency （481 cases， 46.52%）， phlegm （353 cases， 22.73%）， and dampness （241 cases， 23.31%）， whereas consumptive-heat patients showed more qi deficiency （84 cases， 58.33%） and yin deficiency （44 cases， 30.56%）. After propensity score matching， 132 cases were included in each group， and no statistically significant differences were observed in the distribution of syndrome elements of disease location between the two groups （P＞0.05）， but the phlegm element was significantly more prevalent in spleen-heat patients than in consumptive-heat patients （P = 0.006）. Regarding the risk of complications， spleen-heat patients had a significantly higher risk of developing macrovascular complications compared to consumptive-heat patients （OR=2.04， P=0.010）， while no significant differences were found between groups in the occurrence of microvascular complications （P＞0.05）. ConclusionThe spleen-heat T2DM patients show a more frequent syndrome element of disease nature of phlegm， and a higher risk of developing macrovascular complications compared to consumptive-heat patients.

Objective:To understand the incidence trend of brucellosis over time in Shandong Province from 2004 to 2023, and provide evidence for the prevention and control of brucellosis.Methods:The incidence data of brucellosis in Shandong from 2004 to 2023 were collected from China Disease Prevention and Control Information System. The annual change percentage (APC) and annual average change percentage (AAPC) of the incidence rate were calculated by using Joinpoint regression model. A age-period-cohort model was used to analyze changes in brucellosis incidence with age, period, and birth cohort.Results:The average annual incidence of brucellosis was 1.76/100 000 in Shandong from 2004 to 2023. The Joinpoint regression analysis results showed that the reported incidence of brucellosis increased by an average of 92.0% and 18.9% each year from 2004 to 2010 and from 2010 to 2014, respectively, and decreased by an average of 0.2% each year from 2014 to 2023. The results of APC model showed that the incidence of brucellosis increased first and then decreased with age ( χ2=176.92, P<0.001), and incidence of brucellosis showed slow increase and rapid increase first, then decrease ( χ2=2 921.03, P<0.001) over time. The risk for brucellosis reached peak in 2016 ( RR=5.29, 95% CI: 4.96-5.65) and became the lowest in 2006 ( RR=0.24, 95% CI: 0.21-0.28). The incidence increased in later birth cohort ( χ2=348.88, P<0.001), the AAPCs of all the age groups were between 15.0% and 40.0%, and the older the age, the greater the risk ( χ2=348.77, P<0.001). Conclusions:From 2004 to 2023, the reported incidence of brucellosis in Shandong showed a significant age-period-cohort effect, which increased first and then decreased, first increased and then decreased with age, increased slowly and rapidly first, then decreased over time, and increased in later birth cohort. It is necessary to conduct targeted prevention and control, health education to reduce the risk for brucellosis.

Objective:To investigate the gender differences in the causal relationship between testosterone-related hormones and type 2 diabetes mellitus(T2DM), and to analyze the mediating role of blood lipids in this relationship.Methods:Using two-sample Mendelian randomization(TSMR) and two-step Mendelian randomization(MR) methods, we explored the causal associations between testosterone-related hormones, T2DM, and blood lipids in different genders. The potential mediating role of blood lipids between testosterone-related hormones and T2DM was quantitatively assessed using multivariate Mendelian Randomization(MVMR).Results:In males, each standard deviation( SD) increase in genetically predicted total testosterone(TT) was associated with lower odds of T2DM( OR=0.90, 95% CI 0.82-0.97, P=0.009) and higher high-density lipoprotein-cholesterol(HDL-C) level( β=0.08 SD, 95% CI 0.03-0.13, P=0.002). In women, each SD rise in genetically predicted bioavailable testosterone(Bio-T) was associated with higher odds of T2DM( OR=1.24, 95% CI 1.10-1.40, P<0.001), lower HDL-C level( β=-0.13 SD, 95% CI -0.21--0.05, P<0.001). Mediation analysis revealed that HDL-C played a mediating role(7.83%) between Bio-T and T2DM in women. However, HDL-C showed no mediating effect between SHBG and TT levels on T2DM, and low-density lipoprotein-cholesterol(LDL-C) showed no mediating effect between TT levels on T2DM in men. Conclusions:Lower levels of TT and SHBG in men, and high levels of Bio-T in women may increase the risk of T2DM. In women, regulating HDL-C levels may offer a potential strategy for the prevention and treatment of T2DM related to Bio-T disorders.

Objective:To investigate the drug resistance gene characteristics, plasmid characteristics and genome tracing of Shigella sonnei causing a bacillary dysentery outbreak in Shandong Province. Methods:Sixty-five Shigella sonnei strains isolated from a 2021 outbreak in a county of Shandong Province were analyzed using antimicrobial susceptibility testing, whole genome sequencing (WGS), characterization of resistance and virulence genes, plasmid profiling, core genome multilocus sequence typing (cgMLST), and single nucleotide polymorphism (SNP) analysis. Results:All isolates had the same resistance phenotype and genotypes and were multidrug-resistant ESBL-producing Shigella sonnei, carrying important virulence genes. Plasmid analysis revealed a conserved genetic arrangement, pil( M/ N/ O2/ P)-tra( F/ H/ J/ K/ N/ O/ P/ Q)-IS Ecp1- blaCTX-M-14-Tn 903- yub( J/ I/ F/ G/ E/ D), and shared across strains from diverse regions and bacterial species. The cgMLST and SNP analyses demonstrated concordant clustering, with all 65 outbreak-related strains forming a single cluster alongside human-derived strains from Guangxi. Conclusion:The ESBL-producing Shigella sonnei responsible for the outbreak shares a homologous relationship with Guangxi human-derived strains, and the detected resistance plasmids and virulence genes underscore the need to strengthen drug resistance surveillance and genome tracing.

In order to study the effects of prostaglandin D2(PGD2)on cow bone marrow-derived macrophages induced by E.coli,cultured cow bone marrow-derived macrophages were taken as the research object.The effects of endogenous and exogenous PGD2 on the secretion and phagocytosis of E.coli induced proinflammatory cytokines(IL-1β,IL-6 and TNF-α)in macrophages were ana-lyzed.The results showed that the synthesis of PGD2 in macrophages induced by E.coli is depend-ent on the natural pattern recognition receptors TLR2,TLR4 and NLRP3.Inhibition of endogenous PGD2can down-regulate the secretion of pro-inflammatory cytokines(IL-1β,IL-6 and TNF-α)in E.coli induced macrophages(P＜0.001),and inhibition of endogenous PGD2 can enhance the kill-ing function of macrophages to a certain extent(P＜0.01).In addition,exogenous PGD2 could up-regulate the secretion of pro-inflammatory cytokines(IL-1β,IL-6 and TNF-α)in macrophages af-ter E.coli stimulation(P＜0.01),and exogenous PGD2 could weaken the killing function of mac-rophages within a certain concentration range(P＜0.01).Results indicated that PGD2 had certain effects on the secretion of cytokines and phagocytosis and killing function of macrophages induced by E.coli.

Accurate prediction of drug responses in cancer cell lines(CCLs)and transferable prediction of clinical drug responses using CCLs are two major tasks in personalized medicine.Despite the rapid advancements in existing computational methods for preclinical and clinical cancer drug response(CDR)prediction,chal-lenges remain regarding the generalization of new drugs that are unseen in the training set.Herein,we propose a multimodal fusion deep learning(DL)model called drug-target and single-cell language based CDR(DTLCDR)to predict preclinical and clinical CDRs.The model integrates chemical descriptors,mo-lecular graph representations,predicted protein target profiles of drugs,and cell line expression profiles with general knowledge from single cells.Among these features,a well-trained drug-target interaction(DTI)prediction model is used to generate target profiles of drugs,and a pretrained single-cell language model is integrated to provide general genomic knowledge.Comparison experiments on the cell line drug sensitivity dataset demonstrated that DTLCDR exhibited improved generalizability and robustness in predicting unseen drugs compared with previous state-of-the-art baseline methods.Further ablation studies verified the effectiveness of each component of our model,highlighting the significant contribution of target information to generalizability.Subsequently,the ability of DTLCDR to predict novel molecules was validated through in vitro cell experiments,demonstrating its potential for real-world applications.Moreover,DTLCDR was transferred to the clinical datasets,demonstrating satisfactory performance in the clinical data,regardless of whether the drugs were included in the cell line dataset.Overall,our results suggest that the DTLCDR is a promising tool for personalized drug discovery.

Aim To explore the relationship between serum levels of proprotein convertase subtilisin/kexin type 9(PCSK9),macrophage migration inhibitory factor(MIF)and the severity of coronary artery lesions in patients with coro-nary heart disease(CHD).Methods A cross-sectional study was conducted involving 139 patients with CHD and 69 control subjects who underwent coronary angiography during the same period,all of whom were admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from November 2023 to May 2024.Clinical data and coronary angiography results were collected,and the severity of coronary artery stenosis was quantitatively assessed using the Gensini score.Pa-tients with the Gensini scores＞0 were classified into three groups based on tertiles:the mild stenosis group(1～18 points,54 cases),the moderate stenosis group(19～36 points,54 cases),and the severe stenosis group(＞36 points,54 ca-ses).Serum levels of PCSK9 and MIF were measured by ELISA kit.Results Serum levels of PCSK9 and MIF were significantly higher in the CHD group than those in the control group(P＜0.05).Multivariable Logistic regression analy-sis revealed that high levels of serum PCSK9 and MIF were independent risk factors for CHD.Spearman correlation analy-sis showed that serum PCSK9 and MIF levels were positively correlated with Gensini score(rs=0.619 6 and r,=0.411 4,both P＜0.001).Further subgroup analysis showed that serum total cholesterol and low density lipoprotein cholesterol lev-els were significantly increased in patients with high-level PCSK9,while patients with high-level MIF had higher inflamma-tory coefficients such as systemic inflammatory response index(SIRI)and systemic immune-inflammation index(SII)(all P＜0.05).Conclusion Serum levels of PCSK9 and MIF are positively correlated with the severity of coronary artery stenosis.High levels of serum PCSK9 and MIF are independent risk factors for CHD.

In order to explore the effect of PGD2/DP1 receptor pathway on the expression of cyto-kines and injury-related factors in Escherichia coli(E.coli)induced bovine bone marrow derived macrophages,an in vitro model of E.coli induced bovine bone marrow derived macrophages was established.The effects of DP1 receptor agonist on phagocytosis and killing ability,mRNA expres-sion,secretion of pro-inflammatory cytokines(TNF-α,IL-1β)and activation of signaling pathway(MAPK,NF-κB)in cow bone marrow derived macrophages induced by E.coli were examined.The results showed that compared with the E.coli infection group,the phagocytosis and killing ability of BW-245C+E.coli group and 15 d-PGJ2+E.coli group were enhanced(P＜0.01).Compared with the blank control group,mRNA expression was at a higher level(P＜0.001),and the secre-tion of pro-inflammatory cytokines(TNF-α,IL-1β)was significantly increased after adding E.coli solution.The mRNA expression of BW-245C+E.coli group and 15 d-PGJ2+E.coli group were significantly decreased(P＜0.001),and the secretion of pro-inflammatory cytokines(TNF-α,IL-1β)was significantly decreased(P＜0.001).and signaling pathway(MAPK,NF-κB)were sig-nificantly down-regulated(P＜0.001).This study showed that DP1receptor agonist plays an inhib-itory role in the inflammatory response of cow bone marrow-derived macrophages induced by E.coli.This finding provides a potential target for future treatment of cow endometritis,laying the foundation for the development of novel anti-inflammatory treatment strategies.