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In our previous study, serum soluble T-cell immunoglobulin and mucin structure-3 (sTim-3) and galactosin-9 (sGal-9) were found to be associated with renal function after kidney transplantation. However, it is unclear whether these two indicators can predict adverse outcomes after transplantation.Ninety-one recipients of kidney transplantation were enrolled and divided into a stable group and an adverse outcome group (consisting of biopsy-proven rejection, graft loss, death and clinically diagnosed rejection). The expression levels of sTim-3 and sGal-9 before (pre-Tim-3 and pre-Gal-9) and one month after transplantation (post-Tim-3 and post-Gal-9) were measured by ELISA.The level of pre-Tim-3 was significantly higher in the stable group than in the adverse outcome group [median (range), 2275 (840-4236) pg/mL vs. 1589 (353-3094) pg/mL, P = 0.002]. The level of post-Gal-9 was significantly lower in the stable group than in the adverse outcome group [median (range), 4869 (1418-13080) pg/mL vs. 6852: (4128-10760) pg/mL, P = 0.003]. The areas under the curve (AUCs) for pre-Tim-3 and post-Gal-9 were 0.737 (P = 0.002) and 0.751 (P = 0.003), respectively, better than AUC of post-eGFR (0.633) (P = 0.071), according to the receiver operating characteristic (ROC) curve. Through Cox regression analysis, including pre-Tim-3, post-Gal-9, post-eGFR, sex, age, BMI of recipients and donors, pre-Tim-3 and post-Gal-9 were independent risk factors for adverse outcomes after kidney transplantation (P = 0.016, P = 0.033, respectively).Serum sTim-3 and sGal-9 can predict adverse outcomes within two years after kidney transplantation.

Background To develop and validate predictive nomograms for 5-year graft survival in kidney transplant recipients (KTRs) with easily-available laboratory data derived markers and clinical variables within the first year post-transplant. Methods The clinical and routine laboratory data from within the first year post-transplant of 1289 KTRs was collected to generate candidate predictors. Univariate and multivariate Cox analyses and LASSO were conducted to select final predictors. X-tile analysis was applied to identify optimal cutoff values to transform potential continuous factors into category variables and stratify patients. C-index, calibration curve, dynamic time-dependent AUC, decision curve analysis, and Kaplan-Meier curves were used to evaluate models' predictive accuracy and clinical utility. Results Two predictive nomograms were constructed by using 0-6- and 0-12- month laboratory data, and showed good predictive performance with C-indexes of 0.78 and 0.85, respectively, in the training cohort. Calibration curves showed that the prediction probabilities of 5-year graft survival were in concordance with actual observations. Additionally, KTRs could be successfully stratified into three risk groups by nomograms. Conclusions These predictive nomograms combining demographic and 0-6- or 0-12- month markers derived from post-transplant laboratory data could serve as useful tools for early identification of 5-year graft survival probability in individual KTRs.

Chemokines are majorly involved in inflammatory and immune responses. The interferon-γ-inducible chemokines C-X-C motif chemokines 9 and 10 (CXCL9 and CXCL10) are considerably associated with Th1 cells and monocytes, and their expression levels rapidly increase during the early episodes of renal allograft rejection and various infectious diseases. CXCL13 is one of the most potent B-cell and T follicular helper-cell chemoattractants. The expression of CXCL13 in the presence of infection indicates an important chemotactic activity in multiple infectious diseases. C-C motif chemokine ligand 2 (CCL2) can attract monocytes and macrophages during inflammatory responses. However, there are no studies on the role of these chemokines in posttransplant infection in kidney transplant recipients.In this study, CXCL9, CXCL10, CXCL13, and CCL2 were analyzed using the Bio-Plex suspension array system before transplant and 30 days after transplant.The serum levels of CXCL9 and CXCL13 30 days after kidney transplant were associated with infection within 1 year after transplant (P = .021 and P = .002, respectively). The serum levels of CXCL9 and CXCL13 before surgery and those of CCL2 and CXCL10 before and after surgery were not associated with infection within 1 year after transplant (P > .05). The combination of postoperative day (POD) 30 CXCL9 and postoperative day 30 CXCL13 provided the best results with an area under the curve of 0.721 (95% confidence interval, 0.591-0.852), with a sensitivity of 71.4% and specificity of 68.5% at the optimal cutoff value of 52.72 pg/mL.As important chemokines, CXCL9 and CXCL13 could be used to predict the occurrence of infection after kidney transplant.

In the microelectronics manufacturing domain, a linear platform plays an important role to achieve high speed, high position resolution and a long stroke. In this paper, a concept of macro/micro platform is presented by combining with a voice coil motor and a piezoelectric stack actuator. This macro/micro system was investigated by mechanical analysis, related property indices and so on. The static and modal characteristics of the macro and micro system were calculated by finite element method, and then some important conclusions were obtained. The displacement and stress distribution of macro and micro system were disclosed. The relevant change trends of displacement and stress under the different load were investigated and the first four natural vibration modes of the macro system were obtained. Finally, a structure model of macro/micro concept was designed and established by above calculation. These results provide a solid theoretical support for its application in the microelectronics manufacturing equipments.

TACAN beacon is expensive. It can not meet the needs of training and learning. The use of simulation cabinet can effectively training the personnel who operate TACAN. There are two modes of TACAN beacon switch. They are automatic and manual. There is a SCM system in the simulation cabinet. The SCM system collects the state of switches, and controls the display. It communicates with the host computer through the serial port. The computer controls the SCM through the VB program. It can simplify the writing of SCM programming and the function expanding. The method is feasible effective by the experiment, and the simulation cabinet has practical value.