italic>Anoectochilus roxburghii liquid (spray, a hospital preparation of Wu Mengchao Hepatobiliary Hospital of Fujian Medical University) has shown a good clinical treatment effect during the COVID-19 pandemic, but its material basis and mechanism of action are still unclear. In this study, network pharmacology and molecular docking methods were used to predict the molecular mechanism of A. roxburghii liquid against COVID-19, and pharmacodynamic experiments in vitro were conducted to study the interaction between the current targets with clear preventive and therapeutic effects and the key components of A. roxburghii liquid. UPLC-MS and database were used to compare and analyze the active ingredients in the liquid, and 17 potential active ingredients with good drug-like properties were screened by in vivo pharmacokinetics process in SwissADME database. SwissTargetPrediction and GeneCards were searched to find 93 common targets. Cytoscape 3.8.2 software was used to construct the "component-target" network map, and the Metascape platform was used for gene function annotation and pathway enrichment analysis. It was found that the extract could regulate the positive response to external stimuli, inflammatory response, cytokine production and other biological processes by binding the active ingredients such as isorhamnetin, kaempferol, luteolin, quercetin and apigenin to the common targets (NOS3, MPO, MMP3, etc.), and play an anti-COVID-19 role. In the angiotensin-converting enzyme 2 (ACE2) activity inhibition assay, it was found that the stock solution of A. roxburghii liquid (for spray), and the supernatant after removing polysaccharides (mainly containing flavonoids) could to some extent inhibit the activity of ACE2. Crucially, in the experiment of 2019-nCOV-S pseudovirus infecting HEK-293T-ACE2 cells, we found that A. roxburghii liquid may exert anti-COVID-19 effects by blocking the binding of SARS-CoV-S protein to ACE2.

Objective To screen the potential pharmacological targets of Ningzhi capsule,a lipid-lowering tradi-tional Chinese medicine,and explore its mechanism of effect.Methods The components and predicted targets of Ningzhi capsule′s constituent drugs were obtained from BATMAN-TCM database.Hyperlipidemia-related targets were obtained from DisGeNET and GeneCards databases.The Venny2.1.0 tool was used to map drug targets and disease targets to obtain common targets as potential pharmacological targets.Protein-protein interaction analysis(STRING),gene ontology and pathway enrichment analysis(DAVID)were performed for the common targets.Finally,Swiss dock was used for molecular docking verification.Results A total of 1 432 predicted targets of Ning-zhi capsule and 87 targets related to hyperlipidemia were found and 32 common targets were screened which covered 64 potential pharmacological ingredients of Ningzhi capsule.Potential pharmacological targets were most abundant for turmeric root-tuber,turmeric and cattail pollen,and potential pharmacological ingredients were most abundant for sickle senna seed,turmeric and turmeric root-tuber.Apolipoprotein E(APOE),nitric oxide synthase 3(NOS3)and peroxisome proliferator activated receptor alpha(PPARA)had the highest hyperlipidemia correlation scores and more protein interactions,which were potential core targets.The biological processes related to DNA transcription were significantly enriched.Cholesterol metabolism,cGMP-PKG and PPAR signaling pathways were involved with APOE,NOS3 and PPARA,respectively.Molecular docking showed good binding activity.Conclusions There are many potential pharmacological ingredients of Ningzhi capsule and the key components for lowering lipids include turmeric root-tuber,turmeric,cattail pollen and sickle senna seed.APOE,NOS3 and PPARA are believed to be the key targets for lowering lipids with potential mechanism related to cholesterol metabo-lism,cGMP-PKG and PPAR signaling pathways.

Objective To explore the relationship and internal path between activities of daily living(ADL),sleep quality and mental health of community elderly people in Shanghai.Methods A questionnaire survey was conducted among community residents aged 60 years and older seeing doctors in community health care center of five streets in Shanghai during Sept to Dec,2021 using convenience sampling.Activities of Daily Living(ADL),Pittsburgh Sleep Quality Index(PSQI)and 10-item Kessler Psychological Distress Scale(K10)were adopted in the survey.Single factor analysis,correlation analysis and multiple linear regression were used to analyze the data.The effect relationship between the variables was tested using Bootstrap's mediated effects test.Results A total of 1 864 participants were included in the study.The average score was 15.53±4.47 for ADL,5.60±3.71 for PSQI and 15.50±6.28 for K10.The rate of ADL impairment,poor sleep quality,poor and very poor mental health of the elderly were 23.6%,27.3%,11.9%and 4.9%,respectively.ADL and sleep quality were all positively correlated with mental health(r=0.321,P＜0.001;r=0.466,P＜0.001);ADL was positively correlated with sleep quality(r=0.294,P＜0.001).Multiple linear results of factors influencing mental health showed that ADL(β= 0.457,95%CI:0.341-0.573),sleep quality(β =0.667,95%CI:0.598-0.737)and mental health were positively correlated(P＜0.001).Sleep quality partially mediated the relationship between ADL and mental health(95%CI:0.078-0.124)with an effect size of 33.0%.Conclusion Sleep quality is a mediator between ADL and mental health among community elderly people.Improving ADL and sleep quality may improve mental health in the population.

Objective To evaluate the cost-effectiveness of budesonide/formoterol powder inhalation(BF)versus salmeterol/fluticasone powder inhalation(SF)for the treatment of persistent asthma in adolescents,and to provide economic evidence and reference for clinical medication and decision-making.Methods From perspective of Chinese healthcare,a Markov model was established based on a prospective cohort study conducted by Shanghai Fudan University Affiliated Minhang Hospital.The cycle length was 7 days,and the time horizon was 6 years.A discount rate of 5％per year was applied.Clinical parameters including asthma acute exacerbation,treatment costs,and health utility values were obtained from relevant literature.The primary outcomes were direct medical costs,quality-adjusted life-years(QALYs),and incremental cost-utility ratio(ICUR).Cost-utility analysis was performed using TreeAge Pro 2022.The one-way sensitivity analysis and probabilistic sensitivity analysis were conducted to validate the robustness of the basic analysis results.Results Compared with SF group,BF group contributed to an incremental QALYs of 0.002 5 and reduced the cost by 7 043.93 yuan,which implied that BF group was a dominating treatment.Results of one-way sensitivity analysis showed that SF price,BF price and Hazard ratio of asthma acute exacerbation(BF vs.SF)were the main sensitivity factors of model.Probabilistic sensitivity analysis demonstrated the probability of BF being cost-effective was about 80％within the willingness to pay threshold of 257 100 yuan/QALY.Conclusions It was found out in this study that BF was a more cost-effective option for the adolescents with persistent asthma compared with SF.

Objective Cognitive impairment(CI)in older individuals has a high morbidity rate worldwide,with poor diagnostic methods and susceptible population identification.This study aimed to investigate the relationship between different retinal metrics and CI in a particular population,emphasizing polyvascular status. Methods We collected information from the Asymptomatic Polyvascular Abnormalities Community Study on retinal vessel calibers,retinal nerve fiber layer(RNFL)thickness,and cognitive function of 3,785 participants,aged 40 years or older.Logistic regression was used to analyze the relationship between retinal metrics and cognitive function.Subgroups stratified by different vascular statuses were also analyzed. Results RNFL thickness was significantly thinner in the CI group(odds ratio:0.973,95%confidence interval:0.953-0.994).In the subgroup analysis,the difference still existed in the non-intracranial arterial stenosis,non-extracranial carotid arterial stenosis,and peripheral arterial disease subgroups(P<0.05). Conclusion A thin RNFL is associated with CI,especially in people with non-large vessel stenosis.The underlying small vessel change in RNFL and CI should be investigated in the future.

Objective To investigate associations between three-dimensional(3D)morphology of cervical vertebrae and skeletal mat-uration by cone-beam computed tomography(CBCT)and establish corresponding regression models for quantitatively evaluating cervical vertebral maturation(CVM).Methods The analyzed sample consisted of 358 CBCT images(175 male,183 female),of which 277 images were randomly selected as the model development group and 81 as the performance test group.Twenty-one 3D morphological pa-rameters were defined and measured,incorporating all parts of the cervical vertebrae,including the cervical vertebral bodies,transverse processes,spinous processes,pedicles,lamina,and articular processes.The cervical vertebral maturation index(CVMI)was determined by experienced orthodontists as reference standard.Spearman's rank correlation coefficient and multivariable stepwise regression analysis were used to identify the associations and build regression models.The performance test group was employed to ex-amine each model's reliability.Paired-samples Wilcoxon signed-rank test compared the CVMI of the model prediction with the reference standard.Results Three-dimensional morphological changes in various parts of the cervical vertebrae correlated with CVMI(P＜0.05).Six 3D morphometric parameters were each recognized for male and female models,three of which were identical.The adjusted R2 was 0.899 for males and 0.902 for females,with corresponding accuracies of 85.0%and 85.4%,respectively.These models showed no difference as compared with the reference standard(P＞0.05).Con-clusion New associations were found between 3D morphology of cer-vical vertebrae and skeletal maturation.The 3D-driven morphometric CVM assessment method and corresponding regression models exhibited good credibility and high consistency with experts.

With advancements in radiology,endoscopic techniques,surgical treatments,cell biology and molecular biology,the un-derstanding of temporomandibular disorders(TMD)has increased.The temporomandibular joint(TMJ)is a complex structure comprising both soft and hard tissues.Within the TMJ,the temporomandibular disc is a soft tissue structure that connects the mandible to the skull,providing cushioning and stability during joint movement.Different imaging techniques have their own advantages and limi-tations in the diagnosis and treatment of TMD.Therefore,using image registration technology to assess the condition and position of the articular disc provides new research perspectives for evaluating TMD,which may contribute to the diagnosis and treatment.This article reviews the latest advancements in TMJ imaging,explores the applications of various image registration techniques,particularly in the context of TMD diagnosis and treatment,and discusses future prospects.Combining the research results of some scholars at home and a-broad with the author’s clinical experience,the article aims to provide valuable insights for clinicians.

Objective: To investigate the association of plasma vitamin B₁₂ level with plasma uric acid level among the elderly over 65 in 9 longevity areas of China. Methods: The elderly over 65 years old with complete information on plasma vitamin B₁₂ and plasma uric acid from Healthy Aging and Biomarkers Cohort Study (2017 to 2018) were recruited in this study. Information on socio-demographic characteristics, life styles, diet intake, and health status were collected by questionnaire and physical examination; and fasting venous blood was collected to detect the levels of plasma vitamin B₁₂, uric acid and other indicators. Multiple linear regression models were used to analyze the association of plasma vitamin B₁₂ level per interquartile range increase with plasma uric acid level. The association trend of plasma vitamin B₁₂ level with plasma uric acid level was described by restrictive cubic splines fitting multiple linear regression model. Multiple logistic regression models were used to analyze the association of plasma vitamin B₁₂ level stratified by quartiles with hyperuricemia. Results: A total of 2 471 participants were finally included in the study, the age was (84.88±19.76) years old, of which 1 291 (52.25%) were female. The M (Q₁, Q₃) level of plasma vitamin B₁₂ was 294 (203, 440) pg/ml and the plasma uric acid level was (341.01±90.46) μmol/L. A total of 422 participants (17.08%) were defined with hyperuricemia. The results of multiple linear regression model showed that there was a positive association of plasma vitamin B₁₂ level with plasma uric acid level after adjustment for covariates (P<0.05). An IQR increase in plasma vitamin B₁₂ (237 pg/ml) was associated with a 6.36 (95%CI: 2.00-10.72) μmol/L increase in the plasma uric acid level. The restrictive cubic splines curve showed a positive linear association of log-transformed plasma vitamin B₁₂ with uric acid level (P<0.001). Conclusion: There is a positive association of plasma vitamin B₁₂ level with plasma uric acid level among the elderly over 65 years old in 9 longevity areas of China.
Humans ; Female ; Aged ; Aged, 80 and over ; Male ; Vitamin B 12 ; Uric Acid ; Cohort Studies ; Hyperuricemia ; Vitamins ; Folic Acid

Objective: To identify the main metals involved in cognitive impairment in the Chinese oldest old, and explore the association between these metal exposures and cognitive impairment. Methods: A cross-sectional study was conducted on 1 568 participants aged 80 years and older from Healthy Aging and Biomarkers Cohort Study (2017 to 2018). Fasting venous blood was collected to measure the levels of nine metals (selenium, lead, cadmium, arsenic, antimony, chromium, manganese, mercury, and nickel). The cognitive function of these participants was evaluated by using the Chinese version of the Mini-Mental State Examination (CMMSE). The random forest (RF) was applied to independently identify the main metals that affected cognitive impairment. The multivariate logistic regression model and restricted cubic splines (RCS) model were used to further verify the association of the main metals with cognitive impairment. Results: The age of 1 568 study subjects was (91.8±7.6) years old, including 912 females (58.2%) and 465 individuals (29.7%) with cognitive function impairment. Based on the RF model (the out-of-bag error rate was 22.9%), the importance ranking of variables was conducted and the feature screening of five times ten-fold cross-validation was carried out. It was found that selenium was the metal that affected cognitive function impairment, and the other eight metals were not included in the model. After adjusting for covariates, the multivariate logistic regression model showed that with every increase of 10 μg/L of blood selenium levels, the risk of cognitive impairment decreased (OR=0.921, 95%CI: 0.889-0.954). Compared with the lowest quartile(Q₁) of blood selenium, the ORs (95%CI) of Q₃ and Q₄ blood selenium were 0.452 (0.304-0.669) and 0.419 (0.281-0.622) respectively. The RCS showed a linear dose-response relationship between blood selenium and cognitive impairment (P_nonlinear>0.05). Conclusion: Blood selenium is negatively associated with cognitive impairment in the Chinese oldest old.
Aged, 80 and over ; Female ; Humans ; Selenium ; Cohort Studies ; Cross-Sectional Studies ; Metals/analysis* ; Cognitive Dysfunction/epidemiology* ; China/epidemiology*

Humans ; Diabetes Mellitus ; Ketosis ; Magnetic Resonance Imaging