To explore novel antifatigue agents targeting with AMPA receptor, 10 compounds were synthesized and their structures were confirmed by 1H NMR, ESI-MS and elemental analysis. 1-BCP was treated as the leading compound. The antifatigue activities were evaluated by weight-loaded forced swimming test, and the AMPA receptor binding affinities were tested with radioligand receptor binding assays. The results unveiled that 5b appeared to possess potent antifatigue activities and high affinity with AMPA receptor, which deserved further studies.

Aim To investigate the role of Wnt/β-cate-nin signaling pathway on the baicalin-induced osteo-genic differentiation in rat bone marrow derived mesen-chymal stem cells ( rBMSC ) . Methods rBMSC was isolated and cultured by adherence screening method. Alkaline phosphatase ( ALP) amount, CFU-FALP and mineralized nodules were compared between each ba-icalin group and vehicle control group at different time points. Real time q-PCR was employed to evaluate the mRNA level of Wnt signaling-related marker ( Wnt10a, GSK-3β,β-catenin and LEF1) after baica-lin treatment. Protein expression of β-catenin and Runx2 was measured by Western blot. Results Ba-icalin significantly increased ALP activities from day 3 to day 7 . The formation of CFU-FALP and mineralized nodules remarkably increased after rBMSC was treated with1, 10, 50 μmol · L-1 baicalin. mRNA levels of Wnt10a, β-catenin, GSK-3β, LEF1and osteocalcin were enhanced significantly in baicalin-treated group compared to control group. Protein expression of β-catenin and Runx2 was also elevated. Conclusion Baicalin ( 0. 1 to 50 μmol · L-1 ) promotes the osteo-genic differentiation and maturation of rBMSC, in which Wnt/β-catenin signaling pathway might be in-volved.

Due to the limited reliability of traditional self-completed questionnaire, the accuracy of measurement of physical behaviors (physical activity, sedentary behavior and sleep) is not high. With the development of technology, wearable devices (e.g. accelerometer) can be used for more accurate measurement of physical behaviors and have great application potential in large-scale research. However, the data of objective measurement of physical behaviors from large-scale cohort research in Asian populations is still limited. Between August 2020 and December 2021, the 3 rd resurvey of China Kadoorie Biobank (CKB) project used Axivity AX3 wrist triaxial accelerometer to collect the data of participants' daily activity and sleep status. A total of 20 370 participants from 10 study areas were included in the study, in whom 65.2% were women, and the age was (65.4±9.1) years. The participants' physical activity level varied greatly in different study areas. The objective measurement of participants' physical behaviors in CKB project has provided valuable resources for the description of 24-hour patterns of physical behaviors and evaluation of the health effect of physical activity, sedentary behavior and sleep as well as their association with diseases in the elderly in China.

Objective:To describe the distribution of lipoprotein (a) [Lp(a)] levels in non-arteriosclerotic cardiovascular disease (ASCVD) population in China and explore its influencing factors.Methods:This study was based on a nested case-control study in the CKB study measured plasma biomarkers. Lp(a) levels was measured using a polyclonal antibody-based turbidimetric assay certified by the reference laboratory and ≥75.0 nmol/L defined as high Lp(a). Multiple logistic regression model was used to examine the factors related to Lp(a) levels.Results:Among the 5 870 non-ASCVD population included in the analysis, Lp(a) levels showed a right-skewed distribution, with a M ( Q1, Q3) of 17.5 (8.8, 43.5) nmol/L. The multiple logistic regression analysis found that female was associated with high Lp(a) ( OR=1.23, 95% CI: 1.05-1.43). The risk of increased Lp(a) levels in subjects with abdominal obesity was significantly reduced ( OR=0.68, 95% CI: 0.52-0.89). As TC, LDL-C, apolipoprotein A1(Apo A1), and apolipoprotein B(Apo B) levels increased, the risk of high Lp(a) increased, with OR (95% CI) for each elevated group was 2.40 (1.76-3.24), 2.68 (1.36-4.93), 1.29 (1.03-1.61), and 1.65 (1.27-2.13), respectively. The risk of high Lp(a) was reduced in the HDL-C lowering group with an OR (95% CI) of 0.76 (0.61-0.94). In contrast, an increase in TG levels and the ratio of Apo A1/Apo B(Apo A1/B) was negatively correlated with the risk of high Lp(a), with OR (95% CI) of 0.73 (0.60-0.89) for elevated triglyceride group, and OR (95% CI) of 0.60 (0.50-0.72) for the Apo A1/B ratio increase group (linear trend test P≤0.001 except for Apo A1). However, no correlation was found between Lp(a) levels and lifestyle factors such as diet, smoking, and physical activity. Conclusions:Lp(a) levels were associated with sex and abdominal obesity, but less with lifestyle behaviors.