AIM To study the flavonoids from the leaves of Cinnamomum camphora(L.)Presl.and their antioxidant activities.METHODS The 95％ethanol extraction from the leaves of C.camphora was isolated and purified by liquid-liquid extraction,macroporous adsorption resin chromatography,HW-40C gel column chromatography,molecular exclusion chromatography and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The antioxidant activity was determined by DPPH method.RESULT Ten flavonoids were isolated and identified as(2R,3S)-7-methoxy-5-O-β-D-glucopyranosyl-afzelechin(1),quercetin-3-O-sambubioside(2),quercetin-3-O-β-D-apiosyl-(1→2)-β-D-glucoside(3),quercetin-3-O-robibioside(4),kaempferol-3-O-β-D-rutinoside-7-O-β-D-glucoside(5),kaempferol-3-O-α-L-rhamnoside-7-O-β-D-glucoside(6),5,3'-di-O-methyl-epicatechin(7)、cinchonain Ⅱb(8)、quercetin-3,4'-di-O-β-D-glucoside(9)、(-)-epicatechin(10).The IC50 value of compound 8 scavenging DPPH free radical was 4.8 μg/mL.CONCLUSION Compound 1 is a new compound,and compound 2-6 are obtained from Cinnamomum genus for the first time,compound 7-9 are first isolated from this plant.Compound 8 shows good antioxidant activities..

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Aim To investigate the regulatory role and mechanism of resveratrol in inhibiting autophagy and promoting apoptosis in choroidal melanoma cells. Methods Choroidal melanoma cells (MUM2B) were divided into control and experimental groups, and treated with different concentrations of resveratrol (0, 10, 20,40,60,80 μmol ·L

ObjectiveDetection and quantification of RNA synthesis in cells is a widely used technique for monitoring cell viability, health, and metabolic rate.After exposure to environmental stimuli, both the internal reference gene and target gene would be degraded. As a result, it is imperative to consider the accurate capture of nascent RNA and the detection of transcriptional levels of RNA following environmental stimulation. This study aims to create a Click Chemistry method that utilizes its property to capture nascent RNA from total RNA that was stimulated by the environment. MethodsThe new RNA was labeled with 5-ethyluridine (5-EU) instead of uracil, and the azido-biotin medium ligand was connected to the magnetic sphere using a combination of “Click Chemistry” and magnetic bead screening. Then the new RNA was captured and the transcription rate of 16S rRNA was detected by fluorescence molecular beacon (M.B.) and quantitative reverse transcription PCR (qRT-PCR). ResultsThe bacterial nascent RNA captured by “Click Chemistry” screening can be used as a reverse transcription template to form cDNA. Combined with the fluorescent molecular beacon M.B.1, the synthesis rate of rRNA at 37℃ is 1.2 times higher than that at 15℃. The 16S rRNA gene and cspI gene can be detected by fluorescent quantitative PCR,it was found that the measured relative gene expression changes were significantly enhanced at 25℃ and 16℃ when analyzed with nascent RNA rather than total RNA, enabling accurate detection of RNA transcription rates. ConclusionCompared to other article reported experimental methods that utilize screening magnetic columns, the technical scheme employed in this study is more suitable for bacteria, and the operation steps are simple and easy to implement, making it an effective RNA capture method for researchers.

Objective To investigate the clinical effect of total hip replacement(THA)in the treatment of traumatic arthritis secondary to acetabular fracture.Methods From October 2019 to June 2022,15 patients with secondary traumatic arthritis of acetabulum fracture were treated with THA.There were 8 males and 7 females,aged from 40 to 76 years old with an average of(59.20±9.46)years old.Prosthesis loosening,dislocation of hip joint,range of motion of hip joint,nerve injury and other conditions were recorded before and after surgery.Harris score,visual analogue scale(VAS)and imaging were used to e-valuate hip joint function and surgical effect.Results Follow-up time ranged 6 to 39 months with an average of(18.33±9.27)months.All the 15 patients successfully completed the operation,no nerve and blood vessel injury during the operation,post-operative wound healing was stage Ⅰ,no infection,one case of acetabular side prosthesis loosening at half a year after opera-tion,and recovered well after revision surgery,one case of hip dislocation was cured after open reduction treatment,no adverse consequences.Harris score at the last postoperative follow-up was(88.60±4.01)points,compared with the preoperative(47.20±1 1.77)points,the difference was statistically significant(P＜0.05),and VAS at the lateat postoperative follow-up was 1(1)points,compared with the preoperative 8(2)points,the difference was statistically significant(P＜0.05).At the last follow-up,the pain symptoms were relieved or disappeared,and the joint function was satisfactory.The imaging data of the latest fol-low-up showed joint was well pseudoradiated,no abnormal ossification occurred,and the prosthesis was not loose.Conclusion THA is effective in the treatment of traumatic arthritis secondary to acetabular fracture and can effectively improve the quality of life of patients.Preoperative comprehensive evaluation and bone defect evaluation of patients,and intraoperative manage-ment of acetabulum,femur,internal fixation and bone defect are key factors for the success of surgery.

Inflammatory bowel disease (IBD) is a group of chronic idiopathic colorectal inflammatory diseases with a progressive and unpredictable course, including ulcerative colitis (UC) and Crohn's disease (CD). Abnormal intestinal inflammation and immune response contribute to the pathogenesis of IBD. Autophagy as an essential catabolic process in cells, has been demonstrated to have associations with a variety of inflammatory diseases including IBD. Here, we review the relationship between autophagy dysfunction and the process of IBD. The progress of several autophagy regulators for intestinal epithelial cells and macrophages is highlighted (inflammasome inhibitors, intestinal flora regulators, and other signal regulators) in the current studies on IBD.

Humans ; Transcatheter Aortic Valve Replacement ; Aortic Valve/surgery* ; Heart Valve Prosthesis Implantation ; Aortic Valve Stenosis/surgery* ; Treatment Outcome ; Heart Valve Prosthesis

Humans ; Female ; Coronary Artery Disease/complications* ; Hyperlipoproteinemia Type II/complications* ; Aortic Valve Stenosis/etiology* ; Treatment Outcome

This study collected epidemic data of COVID-19 in Zhengzhou from January 1 to January 20 in 2022. The epidemiological characteristics of the local epidemic in Zhengzhou High-tech Zone caused by the SARS-CoV-2 Delta variant were analyzed through epidemiological survey and big data analysis, which could provide a scientific basis for the prevention and control of the Delta variant. In detail, a total of 276 close contacts and 599 secondary close contacts were found in this study. The attack rate of close contacts and secondary close contacts was 5.43% (15/276) and 0.17% (1/599), respectively. There were 10 confirmed cases associated with the chain of transmission. Among them, the attack rates in close contacts of the first, second, third, fourth and fifth generation cases were 20.00% (5/25), 17.86% (5/28), 0.72% (1/139) and 14.81% (4/27), 0 (0/57), respectively. The attack rates in close contacts after sharing rooms/beds, having meals, having neighbor contacts, sharing vehicles with the patients, having same space contacts, and having work contacts were 26.67%, 9.10%, 8.33%, 4.55%, 1.43%, and 0 respectively. Collectively, the local epidemic situation in Zhengzhou High-tech Zone has an obvious family cluster. Prevention and control work should focus on decreasing family clusters of cases and community transmission.
Humans ; SARS-CoV-2 ; COVID-19 ; Epidemics ; Incidence

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China