ObjectiveTo investigate the effects of modified Ditan tang on genes related to the transcription-translation feedback loop （TTFL） of biorhythm in the rat model of non-alcoholic fatty liver disease （NAFLD） and its mechanism for prevention and treatment of NAFLD. MethodsSixty-five healthy SPF male SD rats were randomly assigned into blank （n=20）， model （n=15）， and low-， medium-， and high-dose （2.68， 5.36， and 10.72 g·kg^-1·d^-1， respectively） modified Ditan tang （n=10） groups. Other groups except the blank group were fed a high-fat diet for 12 weeks. The modified Ditan tang groups were treated with the decoction at corresponding doses by gavage， and the blank and model groups were treated with an equal volume of normal saline from the 9th week for 4 weeks. The levels of triglyceride （TG）， total cholesterol （TC）， low-density lipoprotein cholesterol （LDL-C）， high-density lipoprotein cholesterol （HDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in the serum were measured by an automatic biochemical analyzer. TG and non-esterified fatty acid （NEFA） assay kits were used to measure the levels of TG and NEFA in the liver. The pathological changes in the hypothalamus and liver were observed by hematoxylin-eosin staining， and the lipid deposition in the liver was observed by oil red O staining. The levels of brain-muscle ARNT-like protein 1 （BMAL1/ARNTL） in the hypothalamus and liver were determined by immunohistochemical staining. The mRNA and protein levels of BMAL1， circadian locomotor output cycles kaput （CLOCK）， period circadian clock 2 （PER2）， and cryptochrome1 （Cry1） in the hypothalamus and liver were determined by Real-time PCR and Western blot， respectively. ResultsCompared with the blank group， the model group showed elevated levels of TG， TC， LDL-C， AST， and ALT （P<0.01） and a lowered level of HDL-C （P<0.05） in the serum， elevated levels of TG and NEFA in the liver （P<0.01）， pyknosis and deep staining of hypothalamic neuron cells， and a large number of vacuoles in the brain area. In addition， the model group showed lipid deposition in the liver， up-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.01）， and down-regulated mRNA and protein levels of Cry1 and PER2 （P<0.01） in the hypothalamus and liver. Compared with the model group， all the three modified Ditan tang groups showed lowered levels of TG， TC， LDL-C， ALT， and AST （P<0.05， P<0.01） and an elevated level of HDL-C （P<0.05） in the serum， and lowered levels of TG and NEFA （P<0.05， P<0.01） in the liver. Furthermore， the three groups showed alleviated pyknosis and deep staining of hypothalamic neuron cells， reduced lipid deposition in the liver， down-regulated mRNA and protein levels of CLOCK and BMAL1 （P<0.05， P<0.01）， and up-regulated mRNA and protein levels of Cry1 and PER2 （P<0.05， P<0.01） in the hypothalamus and liver. ConclusionModified Ditan tang can reduce lipid deposition in the liver and regulate the expression of CLOCK， BMAL1， Cry1， and PER2 in the TTFL of NAFLD rats.

Voice biomarkers， as an emerging smart medical technology， are now being used in applications such as assisting in the diagnosis and treatment of diseases， facilitating accurate and personalized medical services for patients. However， it also raises many ethical issues， including informed consent， privacy protection， accuracy and reliability， data security， legal risks， and other issues. This paper systematically sorted out the ethical issues in the applications of voice biomarkers in the medical field， summarized these issues， such as informed consent， privacy protection， accuracy and reliability， data security， and legal risks， as well as explored the corresponding coping strategies. These countermeasures encompassed utilizing new media platforms to raise public awareness of voice biomarkers， strengthening supervision and management to promote the privacy protection of voice biomarkers， reducing algorithm biases to promote the general benefits of voice biomarkers to the public， establishing multidisciplinary teams to protect the data security of voice biomarkers， and encouraging medical professionals and researchers to participate in policy research， with a view to providing references for promoting and regulating the applications of voice biomarkers in the medical field.

Objective To explore the risk factors for the occurrence of hypertension in middle-aged and elderly residents in China using the Cox regression analysis model and decision tree model, and compare the differences between the two methods. Methods The 2011-2015 China Health and Retirement Longitudinal Study data were used. The study investigated the risk factors for hypertension using both a multivariate Cox regression model and a decision tree model. Results The results showed that the incidence rate of hypertension between 2011-2015 was 22.79%. Both the Cox regression model and decision tree model identified age, education level, body mass index, and diabetes as risk factors for hypertension. The Cox regression model also identified drinking status as a risk factor, while the decision tree model identified gender and marital status as additional risk factors. The area under the curve (AUC) suggested that the Cox regression model and decision tree model had comparable ability to predict hypertension. Conclusions The risk factors for hypertension include gender, age, education level, marital status, alcohol consumption, body mass index, and history of diabetes. The effectiveness of the hypertension prediction model established based on Cox regression model and decision tree model results is not different.

Objective:To investigate whether tetrandrine could be used as an agonist of cGAMP to enhance the activation of cGAS-STING signaling pathway and analyze the antiviral function of tetrandrine.Methods:THP1-Lucia-ISRE and RAW-Lucia-ISRE cells were incubated with different doses of tetrandrine in combination with cGAMP, respectively. IRF3 reporter activity was analyzed by luciferase reporter assay. Western blot was used to detect the activation of cGAS-STING signaling pathway. The expression of IFN-β, CXCL10 and CCL5 at mRNA level was quantified by real-time quantitative PCR. The expression of IFN-β at protein level was assessed by ELISA. HeLa cells stably expressing STING-GFP gene (HeLa-STNG-GFP cells) were constructed and stimulated with tetrandrine and cGAMP, then puncta-like structures were imaged by ZEISS LSM780. THP1-Lucia-ISRE cells were infected with herpes simplex virus type 1 (HSV-1) in the presence or absence of tetrandrine or cGAMP. The antiviral function of tetrandrine was analyzed by Western blot and fluorescence intensity assay.Results:Tetrandrine enhanced cGAMP-mediated IRF3 responses and activated cGAS-STING signaling pathway in combination with cGAMP. Tetrandrine combined with cGAMP triggered STING translocation and the formation of puncta-like structures in HeLa-STNG-GFP cells. The titer of HSV-1, the expression of HSV-glycoprotein D/UL30 and the fluorescence intensity of HSV-GFP were all decline after treating HSV-1-infected THP1-Lucia-ISRE cells with tetrandrine and cGAMP.Conclusions:Tetrandrine combined with cGAMP activates cGAS-STING signaling pathway, thus enhancing the host antiviral response.

Background Maternal exposure to bisphenol A (BPA) during pregnancy is closely related to adverse growth and development conditions such as preterm birth and low birth weight, but the relevant mechanisms are still unclear. UDP-glucuronosyltransferases (UGTs) can regulate the excretion of BPA conjugating with glucuronic acid through urine, which is one of the important pathways for BPA elimination. Objective To explore the changes in the expression of UGTs in placenta and fetal liver of rats before birth induced by maternal exposure to BPA during pregnancy. Methods Thirty SPF-grade healthy SD pregnant rats were randomly divided into five groups: control group, 0.05, 0.5, 5, and 50 mg·kg⁻¹ BPA groups. The pregnant rats were exposed to BPA dissolved in corn oil via oral gavage daily from gestational day (GD) 5 to GD 19. After anesthesia, the pregnant rats were sacrificed on GD 20 and the placentas were collected. Body length, tail length, and weight of the fetal rats were measured. Fetal liver tissues were then separated, and organ weights were measured. Real-time quantitative polymerase chain reaction (RT-PCR) and Western blot (WB) were used to determine the mRNA and protein levels of UGT1A1, UGT1A6, UGT1A9, and UGT2B1 in the placenta and fetal liver tissues in each group. Results There were no differences in body length and tail length of the pups after maternal exposure to BPA during pregnancy. The fetal body weight and placenta weight in the 5 and 50 mg·kg⁻¹ BPA groups and the liver weight in the 5 mg·kg⁻¹ BPA group reduced compared with the control group (P<0.05). The results of UGTs expressions in placenta showed that compared with the control group, the UGT1A1 mRNA levels in placenta of the BPA groups (exposure dose≥0.5 mg·kg⁻¹) and the UGT1A1 protein level in placenta of the 50 mg·kg⁻¹ BPA group increased (P<0.05); the UGT1A6 mRNA and protein levels in placenta of each BPA group did not change (P>0.05); the UGT1A9 mRNA level in placenta of the 50 mg·kg⁻¹ BPA group and the UGT1A9 protein levels in placenta of the BPA groups (exposure dose≥0.5 mg·kg⁻¹) reduced (P<0.05); while the levels of UGT2B1 mRNA in placenta of the BPA groups (exposure dose≥0.5 mg·kg⁻¹) reduced (P<0.05). The results of UGTs expressions in fetal liver showed that compared with the control group, the UGT1A1, UGT1A6, UGT1A9, and UGT2B1 mRNA levels of each BPA group increased (P<0.05); no obvious alternation was observed in UGT1A6 protein levels in each BPA group (P>0.05); the relative protein levels of UGT1A9 in fetal liver in the 50 mg·kg⁻¹ BPA group increased (P<0.05); conversely, the relative protein levels of UGT2B1 in fetal liver in the BPA groups (exposure dose≥0.5 mg·kg⁻¹) reduced (P<0.05). Conclusion Maternal exposure to BPA during pregnancy can elevate the UGT1A1 gene and protein expressions, inhibit the UGT1A9 gene and protein expressions and UGT2B1 gene expressions in placenta. Besides, maternal exposure to BPA during pregnancy can raise the gene expressions of UGT1A1, UGT1A6, UGT1A9, and UGT2B1 in fetal liver, as well as the protein expression of UGT1A9, but inhibit the protein expression of UGT2B1. These changes may contribute to fetal developmental abnormalities after maternal exposure to BPA during pregnancy.

BACKGROUND:Gold nanoparticles are of great significance in the development of multifunctional transdermal drug delivery systems.Smaller gold nanoparticles can penetrate the dermis through the intercellular pathway,but are limited to their easy agglomeration and colloidal morphology,which makes it difficult to exert effects on low delivery efficiency. OBJECTIVE:To develop an ultrasound-optimized hydrogel delivery system by combining phase change nanodroplets with bio-adhesive hydrogel for percutaneous delivery of gold nanoparticles. METHODS:The ultrasound-responsive nanodroplets loaded with gold nanoparticles were prepared by the emulsion solvent evaporation method and loaded into the polydopamine-modified methylacryloyl gelatin hydrogel to prepare a composite hydrogel scaffold.The structure and chemical composition of the ultrasound-responsive nanogold carrier were characterized.The microstructure,porosity,permeability,rheology,in vitro hemostasis,and antibacterial properties of the composite hydrogel were characterized.The cell compatibility of the hydrogel scaffold was evaluated by live/dead staining,and the optimization effects of low-intensity pulsed ultrasound on the permeability,porosity,and mechanical properties of hydrogel were evaluated. RESULTS AND CONCLUSION:(1)Transmission electron microscopy and ultraviolet-visible spectroscopy proved the successful construction of nanogold carriers.The particle size and potential results demonstrated that the synthesized nanoscaled ultrasonic responsive carrier had good stability.(2)Live/dead cell staining proved that the prepared composite hydrogel scaffold had certain biocompatibility.(3)Scanning electron microscopy exhibited that the prepared composite hydrogel scaffold had a porous network structure,and numerous pores of about 2 μm appeared inside the macropores after the addition of nanodroplets and ultrasonic irradiation.The permeability experiment displayed that low-intensity pulsed ultrasound could optimize the porosity and permeability of hydrogel materials.The hemostatic performance of the composite hydrogel scaffold was better than that of the hemostatic sponge and polydopamine@methylacrylylated gelatin hydrogel scaffold.Under the irradiation of low-intensity pulsed ultrasound,the composite hydrogel scaffolds had good antioxidant effects and antibacterial properties.(4)Thermal imaging results manifested that gold nanoparticles were encapsulated in ultrasound-responsive nanobubbles,and more uniform dispersion could be obtained under ultrasonic excitation.(5)The results of the mechanical property test demonstrated that the storage modulus of the hydrogel increased before and after loading gold nanoparticles-nanodroplets,which showed stronger mechanical properties.The elongation at break was 122%,and the ductility was better than that without gold nanoparticles-nanodroplets(P<0.05).(6)These findings indicate that the composite hydrogel scaffold has good biocompatibility,antibacterial property,oxidation resistance,and hemostatic effect.

Objective To establish a simultaneous detection approach for 34 emerging contaminants(ECs)in tap water by liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Human health risk assessment was performed according to the detection results from 43 tap water samples.Methods Tap water samples were concentrated and extracted by solid phase extraction,and then blown to near dry by nitrogen at 40℃.The sample extracts were dissolved in methanol-water solution(95:5,VN)to 0.5 mL for analyzing.Agilent Jet Stream Electrospray Ionization(AJS ESI)and the multiple reaction monitoring(MRM)mode were performed for MS to acquire the data of 34 ECs.A database including precursor ion,product ion and retention times was established accordingly.Results The average linear correlation coefficients(r)of 34 kinds of ECs was 0.995 9.The limits of detection were 0.01～0.60 ng/L and the recoveries were between 60.7％and 119.8％.The intra-group precisions were between 0.05％～9.89％and the intra-day precisions were between 0.20％～14.40％for the spiked samples.The method was applied to analyze 43 tap water samples and a total of 15 ECs were detected.According to the results,the detection rate of caffeine was the highest(84％),and the concentration range was ND～74.42 ng/L.Among all the ECs detected,1,2,3-benzotriazole had the highest concentration(ND～361.15 ng/L),where detection rate was 44％.Humans may be exposed to these ECs by drinking the tap water.The human health risk assessments of 12 kinds of ECs were carried out,however,the estimated risk was negligible(risk quotient＜0.01).Conclusion The method is simple,highly sensitive and selective,and could meet the detection needs of ECs at trace level in tap water.There was no human health risk posed for ECs identified in 43 tap water samples analyzed by this method.

The number of expert consensus publications has been increasing year by year as an industry guidance document.However,due to the lack of unified reporting guidelines and methodological standards,the current published expert consensuses in nursing exhibit inconsistent writing formats and varying quality.This article combines the quality evaluation points for expert opinions from the Jonna Briggs Institute in Australia,focusing on 6 aspects,covering the authority of the expert team,clarity of viewpoint expression,adequacy of evidence-based foundation,standardization of the consensus-reaching process,taking into account of interests of relevant research populations,and the potential for application in specific clinical settings.These points are introduced as review criteria for expert consensus papers,aiming to provide references for improving the quality and standardization of expert consensus papers in the future.

Objective To construct a domain knowledge graph of dementia care,so as to provide the foundation and guarantee for the next intelligent application based on the knowledge graph.Methods A top-down approach was adopted to construct a domain knowledge graph of dementia care.Firstly,the ontology concept is constructed from the top level,namely the schema layer of knowledge graph.Then,instances are filled,and knowledge extraction is carried out from the existing data sources,and the extracted entities and relationships are filled into the pattern layer ontology database to complete the data layer construction of the knowledge graph.Finally,the"entity relationship entity"triplet data was input into the Neo4j graph database for storage.Results In this study,the personalized care plan set of 1 012 dementia cases was used as the corpus to construct a domain knowledge graph of dementia care.The knowledge graph takes people with dementia as the core,and unfolds,one by one,around basic characteristics,care problems,and care plans in a standardized"entity-relationship-entity"triplet format,forming a large knowledge network,which contains a total of 1 522 specific dementia care knowledge entities and 8 kinds of inter-entity relationships.Conclusion The domain knowledge graph of dementia care constructed in this study clearly and intuitively shows the global pedigree and logical path of knowledge,which provides an efficient and intelligent basic guarantee for the browsing,retrieval and application of dementia care knowledge,so as to realize personalized and intelligent management of people with dementia,break through the bottleneck of lack of professionals,improve the health outcomes of people with dementia,promote the implementation of inclusive pension services,and promote healthy aging.

Objective To analyze the risk factors of nosocomial infection among the patients in neuro-surgical ICU,and to construct the risk prediction model to provide reference for the prediction of nosocomial infection in neurosurgical ICU patients.Methods The clinical data of 280 patients admitted and treated in the neurosurgery ICU of this hospital from January 2021 to December 2022 were retrospectively analyzed.The pa-tients were divided into the infection group and non-infection group based on whether or not nosocomial infec-tion occurring,140 cases in each group.A total of 196 patients were extracted as the training set by a ratio of 7︰3 for constructing the model,while the remaining 84 patients served as the validation set for conducting the internal verification.The logistic regression was used to analyze the risk factors of nosocomial infection in the neurosurgery ICU patients,and a predictive model was established.The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive effect of the model.Results The multivariate logistic re-gression analysis indicated that old age,long surgery time,catheter use and glucocorticoids use were screened as the main risk factors of nosocomial infection occurrence in neurosurgery ICU patients.The nomogram mod-el was constructed based on the results of multivariate analysis,the area under the curve of training set and validation set were 0.796 and 0.875,respectively.The correcting model reflected good consistency between actual diagnosis and predictive diagnosis.Conclusion The model constructed in this study has the high predic-tive value for the nosocomial infection occurrence risk in the patients of the neurosurgery ICU.