Objective To explore the effects of MIF stimulation on collagen Ⅰ and Ⅲ synthesis in the cultured blood vessel SMC ofrats. Method The content of collagen Ⅰ and Ⅲ protein in primary culture of SMC was measured with Western-blot. Results MIF couldpromote the increasing of the collagen Ⅰ protein expression in the SMC. But there were no improvement on collagen Ⅲ. Conclusions MIFcould stimulate SMC to synthesize the collagen Ⅰ.

Objective To evaluate the clinical value of the isothermal RNA amplification assay (SAT) for detection of Mycobacterium tuberculosis in sputum samples.Methods Sputum specimens from 230 patients with diagnosed tuberculosis and 78 cases of other respiratory diseases during September to December 2011 were detected using SAT,BD960 culture,LowenStein-Jensen( L-J ) culture and concentrated smear simultaneously.The samples with different results between SAT and BD960 culture were tested by Mycobacterium tuberculosis PCR fluorescence diagnosis kits.Strains were identified by amplification and sequencing the BD960 culture-positive isolates and SAT amplification products.Positive detection rate of SAT and other three methods for patients with tuberculosis were compared by chi-square test.Results Using the results of BD960 culture as the golden standard (7 cases of pollution bacteria in BD960 culture was rejected ),the sensitivity,specificity,positive predictive value,and negative predictive value of SAT was 90.5％ (95/105),84.2％ (165/196),75.4％ (95/126),94.3％ (165/175),respectively.The agreement rate of SAT and BD960 culture was 86.4％ (260/301).For 223 tuberculosis patients,the positive detection rate of SAT,BD960 culture,L-J culture and concentrated smear was 56.5％ ( 126/223 ),45.7％ ( 102/223 ),41.7％ ( 93/223 ) and 37.2％ ( 83/223 ) respectively.The positive detection rate of SAT is significantly higher than the other three methods (x2 =4.087,P ＜ 0.05 ).Conclusion SAT,as a new technology for laboratory diagnosis of TB,has high specificity and sensitivity.The operation is fast and simple,and the pollution rate is low.It is a promising laboratory diagnosis method.

In April 2013, the US Chinese Anti-Cancer Association (USCACA) held its 5th annual meeting in conjunction with the American Association for Cancer Research (AACR) 2013 Annual Meeting in Washington DC. The USCACA executive committee reported activities and programs and highlighted the partnership and collaboration between USCACA and other major organizations. The key initiatives and programs of USCACA included 1) USCACA-TIGM Esophageal Cancer Program that funds translational research of esophageal cancer prevention and treatment at the Xinxiang Medical University in Henan province, China; 2) the USCACA-NFCR-AFCR Scholarship Program, which has supported 10 young outstanding Chinese cancer researchers and will award 4 fellowships at the Guangzhou International Symposium on Oncology in November this year; 3) USCACA-Hengrui Training Program for Early Phase Clinical Research, which has supported the training of a Chinese scholar at two major cancer centers in the US; and 4) USCACA has continued its partnership with the Chinese Journal of Cancer, which has reached significant international impact.
Awards and Prizes ; China ; District of Columbia ; Esophageal Neoplasms ; prevention & control ; therapy ; Humans ; International Cooperation ; Medical Oncology ; Societies, Medical ; Translational Medical Research ; United States

Objective:Anterior cruciate ligament injury is the most common type of knee joint ligament injury.Anterior cruciate ligament reconstruction has a high failure rate,with bone tunnel abnormalities as the most significant factor in these failures.Digital orthopedic technology can effectively develop implementation plans for the revision,thus increasing the success rate.This study aims to develop a surgical plan for anterior cruciate ligament revision by employing multiplanar reconstruction(MPR)for measuring bone tunnel position and diameter,and simulating bone tunnel creation via 3D printing preoperatively. Methods:A total of 12 patients who underwent anterior cruciate ligament revision at the Third Xiangya Hospital of Central South University between 2014 and 2021 were retrospectively studied.The data included patient demographics,preoperative formulated knee joint 3D printing models,and preoperative knee CT scans.The study measured the bone tunnel's diameter and position to guide the establishment of revision bone tunnels during surgery,reassessed the postoperative bone tunnels,and evaluated knee joint functional scores[including International Knee Documentation Committee Knee Evaluation Form(IKDC)score,Lysholm score,and Tegner exercise level score]. Results:Preoperative measurements revealed suboptimal femoral tunnels positions in 4 patients and tibial tunnels positions in 2 patients.MPR and 3D printing technology were used to guide the establishment of a new bone canal during surgery,and postoperative measurements were satisfactory for all patients.Preoperative measurements demonstrated the interclass correlation coefficient for femoral tunnels and tibial tunnels diameters were 0.843(P<0.05)and 0.889(P<0.001),respectively.Meanwhile,the intraclass correlation coefficient were 0.811(P<0.05)and 0.784(P<0.05),respectively.The intraoperative diameter of femoral and tibial tunnels showed excellent correlation with postoperative CT measurements,with intraclass correlation coefficient values of 0.995(P<0.001)and 0.987(P<0.001),respectively.All bone tunnel positions were within the normal range.At the final follow-up,knee joint function scores in all 12 patients improved significantly compared to pre-surgery(P<0.001),and the reoperation rate was zero. Conclusion:MPR and 3D printing technology can accurately measure the parameters of reconstructed anterior cruciate ligament bone tunnels.Personalized revision plans for patients with reconstruction failure enhances the success rate of revision surgery and improves patient prognosis.

Prediction of the interactions between small molecules and their targets play important roles in various applications of drug development, such as lead discovery, drug repurposing and elucidation of potential drug side effects. Therefore, a variety of machine learning-based models have been developed to predict these interactions. In this study, a model called auxiliary multi-task graph isomorphism network with uncertainty weighting (AMGU) was developed to predict the inhibitory activities of small molecules against 204 different kinases based on the multi-task Graph Isomorphism Network (MT-GIN) with the auxiliary learning and uncertainty weighting strategy. The calculation results illustrate that the AMGU model outperformed the descriptor-based models and state-of-the-art graph neural networks (GNN) models on the internal test set. Furthermore, it also exhibited much better performance on two external test sets, suggesting that the AMGU model has enhanced generalizability due to its great transfer learning capacity. Then, a naïve model-agnostic interpretable method for GNN called edges masking was devised to explain the underlying predictive mechanisms, and the consistency of the interpretability results for 5 typical epidermal growth factor receptor (EGFR) inhibitors with their structure‒activity relationships could be observed. Finally, a free online web server called KIP was developed to predict the kinome-wide polypharmacology effects of small molecules (http://cadd.zju.edu.cn/kip).