Objective:To analyze the association between daily physical activity patterns and dyslipidemia among people receiving physical examination aged 40-65 years.Methods:This cross-sectional study consecutively enrolled 864 participants aged 40-65 years and met the inclusion and exclusion criteria who underwent health check-ups at the Physical Examination Center of Fuquan First People′s Hospital from March to November in 2022. The data of general characteristics, physical activity, physical examination findings, and lipid profiles were collected. The daily physical activity patterns were identified using K-means clustering analysis. The unconditional binary logistic regression was employed to explore the associations between these activity patterns and dyslipidemia, followed by subgroup analyses.Results:The physical activity of the 864 study participants (517 males and 347 females) included in the analysis was divided into 4 patterns (G1: low physical activity; G2: active commuting; G3: housework; G4: leisure exercise). Using G1 as a reference, after adjusting for confounders, G4 was negatively associated with low high density lipoprotein cholesterol (HDL-C) ( OR=0.37, 95% CI: 0.14-1.00) ( P=0.05). In the male, G3 was negatively associated with dyslipidemia ( OR=0.44, 95% CI: 0.21-0.93) and low HDL-C ( OR=0.25, 95% CI: 0.10-0.68) (both P<0.05). In the subjects aged 50 years and above, G2 was negatively associated with dyslipidemia ( OR=0.52, 95% CI: 0.30-0.90), hypertriglyceridemia ( OR=0.50, 95% CI: 0.28-0.90) and low HDL-C ( OR=0.47, 95% CI: 0.24-0.91) (all P<0.05). In those who never or occasionally stayed up late, G2 was negatively associated with hypertriglyceridemia ( OR=0.31, 95% CI: 0.13-0.75) ( P<0.05); in those who stayed up late often, G4 was negatively associated with dyslipidemia ( OR=0.33, 95% CI: 0.13-0.85) and low HDL-C ( OR=0.19, 95% CI: 0.04-0.84) (both P<0.05). In the centrally obese population, G2 was negatively associated with dyslipidemia ( OR=0.55, 95% CI: 0.35-0.88) and hypertriglyceridemia ( OR=0.54, 95% CI: 0.33-0.86) (both P<0.05). Conclusions:Association between different physical activity patterns and dyslipidemia varied among adults aged 40-65 years undergoing health check-ups. Leisure-time exercise is associated with a reduced risk of dyslipidemia, while household activities also emerges as a beneficial factor linked to lower dyslipidemia risk particularly in the male population.

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

Advancements in artificial intelligence(AI)and emerging technologies are rapidly expanding the exploration of chemical space,facilitating innovative drug discovery.However,the transformation of novel compounds into safe and effective drugs remains a lengthy,high-risk,and costly process.Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development.Despite this need,no comprehensive tool currently supports systematic evaluation and efficient screening.Here,we present druglikeFilter,a deep learning-based framework designed to assess drug-likeness across four critical dimensions:1)physicochemical rule evaluated by systematic determination,2)toxicity alert investigated from multiple perspectives,3)binding affinity measured by dual-path analysis,and 4)compound synthesizability assessed by retro-route prediction.By enabling automated,multidimensional filtering of compound libraries,druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates,which can be freely accessed at https://idrblab.org/drugfilter/.

Objective:To analyze the association between daily physical activity patterns and dyslipidemia among people receiving physical examination aged 40-65 years.Methods:This cross-sectional study consecutively enrolled 864 participants aged 40-65 years and met the inclusion and exclusion criteria who underwent health check-ups at the Physical Examination Center of Fuquan First People′s Hospital from March to November in 2022. The data of general characteristics, physical activity, physical examination findings, and lipid profiles were collected. The daily physical activity patterns were identified using K-means clustering analysis. The unconditional binary logistic regression was employed to explore the associations between these activity patterns and dyslipidemia, followed by subgroup analyses.Results:The physical activity of the 864 study participants (517 males and 347 females) included in the analysis was divided into 4 patterns (G1: low physical activity; G2: active commuting; G3: housework; G4: leisure exercise). Using G1 as a reference, after adjusting for confounders, G4 was negatively associated with low high density lipoprotein cholesterol (HDL-C) ( OR=0.37, 95% CI: 0.14-1.00) ( P=0.05). In the male, G3 was negatively associated with dyslipidemia ( OR=0.44, 95% CI: 0.21-0.93) and low HDL-C ( OR=0.25, 95% CI: 0.10-0.68) (both P<0.05). In the subjects aged 50 years and above, G2 was negatively associated with dyslipidemia ( OR=0.52, 95% CI: 0.30-0.90), hypertriglyceridemia ( OR=0.50, 95% CI: 0.28-0.90) and low HDL-C ( OR=0.47, 95% CI: 0.24-0.91) (all P<0.05). In those who never or occasionally stayed up late, G2 was negatively associated with hypertriglyceridemia ( OR=0.31, 95% CI: 0.13-0.75) ( P<0.05); in those who stayed up late often, G4 was negatively associated with dyslipidemia ( OR=0.33, 95% CI: 0.13-0.85) and low HDL-C ( OR=0.19, 95% CI: 0.04-0.84) (both P<0.05). In the centrally obese population, G2 was negatively associated with dyslipidemia ( OR=0.55, 95% CI: 0.35-0.88) and hypertriglyceridemia ( OR=0.54, 95% CI: 0.33-0.86) (both P<0.05). Conclusions:Association between different physical activity patterns and dyslipidemia varied among adults aged 40-65 years undergoing health check-ups. Leisure-time exercise is associated with a reduced risk of dyslipidemia, while household activities also emerges as a beneficial factor linked to lower dyslipidemia risk particularly in the male population.

ObjectiveTo observe the effect of repetitive facilitative exercise (RFE) on the hand function of stroke patients with hemiplegia during recovery period. MethodsFrom January to December, 2022, 80 stroke patients with hemiplegia following hand dysfunction during recovery period in Beijing Bo'ai Hospital were randomly divided into control group (n = 40) and experimental group (n = 40). Both groups received routine rehabilitation, the control group added functional occupational therapy, and the experimental group added RFE, for four weeks. They were assessed with Fugl-Meyer Assessment-Upper Extremity (FMA-UE), Simple Test for Evaluating Hand Function (STEF) and modified Barthel Index (MBI) before and after treatment. ResultsOne case dropped down in the experimental group. After treatment, all the scores increased in both groups (|t| > 12.698, P < 0.001), and were better in the experimental group than in the control group (|t| > 2.302, P < 0.05). ConclusionRFE could promote the recovery of hand function and activities of daily living in patients with hemiplegia during stroke recovery period.

Background: We hypothesized that specific amino acids or acylcarnitines would have benefits for the differential diagnosis of diabetes. Thus, a targeted metabolomics for amino acids and acylcarnitines in patients with diabetes and its complications was carried out. Methods: A cohort of 54 normal individuals and 156 patients with type 2 diabetes mellitus and/or diabetic complications enrolled from the First Affiliated Hospital of Jinzhou Medical University was studied. The subjects were divided into five main groups: normal individuals, impaired fasting glucose, overt diabetes, diabetic microvascular complications, and diabetic peripheral vascular disease. The technique of tandem mass spectrometry was applied to obtain the plasma metabolite profiles. Metabolomics multivariate statistics were applied for the metabolic data analysis and the differential metabolites determination. Results: A total of 10 cross-comparisons within diabetes and its complications were designed to explore the differential metabolites. The results demonstrated that eight comparisons existed and yielded significant metabolic differences. A total number of 24 differential metabolites were determined from six selected comparisons, including up-regulated amino acids, down-regulated medium-chain and long-chain acylcarnitines. Altered differential metabolites provided six panels of biomarkers, which were helpful in distinguishing diabetic patients. Conclusion Our results demonstrated that the biomarker panels consisted of specific amino acids and acylcarnitines which could reflect the metabolic variations among the different stages of diabetes and might be useful for the differential diagnosis of prediabetes, overt diabetes and diabetic complications.

Background: We hypothesized that specific amino acids or acylcarnitines would have benefits for the differential diagnosis of diabetes. Thus, a targeted metabolomics for amino acids and acylcarnitines in patients with diabetes and its complications was carried out. Methods: A cohort of 54 normal individuals and 156 patients with type 2 diabetes mellitus and/or diabetic complications enrolled from the First Affiliated Hospital of Jinzhou Medical University was studied. The subjects were divided into five main groups: normal individuals, impaired fasting glucose, overt diabetes, diabetic microvascular complications, and diabetic peripheral vascular disease. The technique of tandem mass spectrometry was applied to obtain the plasma metabolite profiles. Metabolomics multivariate statistics were applied for the metabolic data analysis and the differential metabolites determination. Results: A total of 10 cross-comparisons within diabetes and its complications were designed to explore the differential metabolites. The results demonstrated that eight comparisons existed and yielded significant metabolic differences. A total number of 24 differential metabolites were determined from six selected comparisons, including up-regulated amino acids, down-regulated medium-chain and long-chain acylcarnitines. Altered differential metabolites provided six panels of biomarkers, which were helpful in distinguishing diabetic patients. Conclusion Our results demonstrated that the biomarker panels consisted of specific amino acids and acylcarnitines which could reflect the metabolic variations among the different stages of diabetes and might be useful for the differential diagnosis of prediabetes, overt diabetes and diabetic complications.

Objective To study the expression level and function of micro RNA (microRNA)-218 in hepatocellular carcinoma (HCC) .Methods 46 cases of HCC surgery in the hepatobiliary surgery department of this hospital were selected and divided into the transfection group and nontransfection group .The expression ,proliferation and apoptosis of microRNA-218 and the expression level of B cell specific Maloney leukemia virus insertion site 1(Bmi-1) and cycling-dependented kinase 6(CDK6) in HepG2 cells were compared between the two groups .Results The expression level of microRNA-218 in HCC tissue was significantly lower than that in paracancerous tissues (P＜0 .05);the microRNA218 expression level was closely correlated with the clinicopathological characteristics such as tumor size and TNM stage(P＜0 .05);the HepG2 cell proliferation rates at 24 ,48 ,72 h after transfection in the transfection group were significantly lower than those in the nontransfection group(P＜0 .05);the HepG2 cell apoptosis rate in the transfection group was significantly higher than that in the nontransfection group(P＜0 .05);the Bim-1 and CDK6 expression levels after HepG2 cell transfection in the transfection group were significantly lower than those in nontransfection group(P＜0 .05) . Conclusion microRNA-218 can suppress the proliferation of HCC cells and promotes HCC cells apoptosis by down-regulating the Bim-1 and CDK6 expression level in potential targets .

Objective To explore the value of 64-row helical CT multi-phase enhancement scan combined with angiography (CTA)in the diagnosis of pulmonary mass.Methods Two hundred and sixty-five patients with pulmonary mass confirmed by pa-thology were checked,analyzed the CT sign of multi-phase enhancement scan and the blood supply of pulmonary mass displayed by CTA.Results Lung cancer was mainly supplied by bronchial arteries,some by body arteries,the feeding arteries display rate of lung cancer group was significantly higher than that of benign disease group(P <0.05).CT enhancement peak value of lung cancer group was significantly higher than that of tuberculoma group,inflammatory pseudotumor group and hamartoma group(P <0.05), but no significant difference between hemanginoma group(P >0.05).Enhancement dynamic curves of lung cancer group was differ-ent from benign lesion groups:Lung cancer without obvious enhancement in pulmonary artery phase,CT value increased rapidly in aorta phase,120 s reached peak,and declined slowly in delay phase;CT value of tuberculoma was increased slowly without obvious peak;CT value of inflammatory increased gradually in pulmonary artery phase,90 s reached the peak;hamartoma was no obvious enhancement;Hemangioma enhanced rapidly after strengthening in the pulmonary artery phase,reached the peak at about 15 s,and then decreased slowly.Conclusion 64-row helical CT multi-phase enhancement scan combined with angiography have important clinical value,which can differentiate malignant mass from benign ones.

Objective To assess the current situation and quality of clinical randomized controlled trials(RCTs) designed for accessing the treatment of depressive neurosis with acupuncture and moxibustion. Methods Relative clinical research literatures published from year 1980 to 2008 were collected, and composed into "evaluation to all literature of acupuncture and moxibustion treating depressive neurosis message table", according to the clinical epidemic disease and EBM. The quality evaluation on these trails were performed. Results There were altogether 15 articles included in this study. Among them, 5 articles used the correct randomized controlled trials (33.3%), 10 articles used the diagnostic criteria (66.6%), 10 articles used excluded criteria (66.6%), 12 articles used the therapeutic evaluation criteria (80%), 4 articles used blind treals (26.7%), 5 articles reported quit cases (33.3%), and 9 articles reported the adopted statistical methods (60%)4 articles Conclusion The quality of RCT of acupuncture and moxibustion for depressive neurosis needs to be improved.