Optimization design of semi-open impeller based on thrombogenicity in a blood pump.

BACKGROUND: Blood clots are composed of aggregated fibrin and platelets, and thrombosis is the body's natural response to repairing injured blood vessels or stopping bleeding. However, when this process is activated abnormally, such as in a mechanical blood pump, it can lead to excessive thrombus formation. Therefore, how to avoid or reduce the probability of thrombus formation is an important indicator of the stable operation of a blood pump. METHODS: In this paper, Lagrangian particle tracking trajectories are simulated to study platelet transport in a blood pump. The design of the thrombus blood pump was optimized using an orthogonal design method based on three factors: inlet angle, outlet angle, and blade number. The effect of blood pump pressure, rotational speed, impeller outlet angle, inlet angle, and number of blades on thrombus formation was analysed using Fluent software. The thrombogenic potential was derived by analyzing the trajectory and flow parameters of platelet particles in the blood pump, as well as the statistical parameters of residence time and stress accumulation thrombus in the platelet pump. RESULTS: When the impeller inlet angle is 30°, the outlet angle is 20°, and the number of blades is 6, the probability of thrombus formation is minimized in the orthogonal design method, aligning with the requirements for blood pump performance. CONCLUSIONS: These design parameters serve as a numerical guideline for optimizing the geometry of the semi-open impeller in blood pumps and provide a theoretical foundation for subsequent in vitro experiments.

Response and inbreeding from a genomic selection experiment in layer chickens.

BACKGROUND: Genomic selection (GS) using estimated breeding values (GS-EBV) based on dense marker data is a promising approach for genetic improvement. A simulation study was undertaken to illustrate the opportunities offered by GS for designing breeding programs. It consisted of a selection program for a sex-limited trait in layer chickens, which was developed by deterministic predictions under different scenarios. Later, one of the possible schemes was implemented in a real population of layer chicken. METHODS: In the simulation, the aim was to double the response to selection per year by reducing the generation interval by 50 %, while maintaining the same rate of inbreeding per year. We found that GS with retraining could achieve the set objectives while requiring 75 % fewer reared birds and 82 % fewer phenotyped birds per year. A multi-trait GS scenario was subsequently implemented in a real population of brown egg laying hens. The population was split into two sub-lines, one was submitted to conventional phenotypic selection, and one was selected based on genomic prediction. At the end of the 3-year experiment, the two sub-lines were compared for multiple performance traits that are relevant for commercial egg production. RESULTS: Birds that were selected based on genomic prediction outperformed those that were submitted to conventional selection for most of the 16 traits that were included in the index used for selection. However, although the two programs were designed to achieve the same rate of inbreeding per year, the realized inbreeding per year assessed from pedigree was higher in the genomic selected line than in the conventionally selected line. CONCLUSIONS: The results demonstrate that GS is a promising alternative to conventional breeding for genetic improvement of layer chickens.

Development and clinical evaluation of medical robot assisted photodynamic therapy of port wine stains.

BACKGROUND: Port wine stains (PWS) are a kind of skin disease for which photodynamic therapy (PDT) has already achieved good results. With manual operation of clinical PDT, the laser density is uneven and laser irradiation of the lesion is arbitrary and non-uniform. In addition, lengthy manual operation tires doctors; thus a robot system has been developed to assist them. METHODS: First, a novel medical manipulator consisting of five passive joints (robot arm) and two active joints (robot wrist) was developed to automatically improve the uniformity of laser irradiation. Second, image processing of the lesion was introduced. Third, kinematics and path planning of the robot were analysed, and safety precautions were introduced. Then, accuracy tests of the robot wrist and robot system were conducted separately before clinical application. Finally, a total of 50 PWS cases were treated using the robot system. The clinical outcomes and comparison of non-parametric values were employed to evaluate the robot system. RESULTS: The accuracies of the robot wrist and robot system were shown to meet the requirements of clinical PDT treatment. The robot system performed successfully in 50 PWS cases. Doctors can devote more energy to clinical judgments during treatment with the assistance of the robot system. All the PWS have shown different degrees of improvement. The results show that the robot system is useful in assisting doctors for the PDT treatment of PWS. CONCLUSIONS: The experiments show the feasibility and usefulness of the robot system in assisting doctors giving PDT treatment for PWS. The robot system can lighten the load on doctors and improve the therapeutic effect.

Combined line-cross and half-sib QTL analysis of crosses between outbred lines.

Data from an F 2 cross between breeds of livestock are typically analysed by least squares line-cross or half-sib models to detect quantitative trait loci (QTL) that differ between or segregate within breeds. These models can also be combined to increase power to detect QTL, while maintaining the computational efficiency of least squares. Tests between models allow QTL to be characterized into those that are fixed (LC QTL), or segregating at similar (HS QTL) or different (CB QTL) frequencies in parental breeds. To evaluate power of the combined model, data wih various differences in QTL allele frequencies (FD) between parental breeds were simulated. Use of all models increased power to detect QTL. The line-cross model was the most powerful model to detect QTL for FD>0.6. The combined and half-sib models had similar power for FD<0.4. The proportion of detected QTL declared as LC QTL decreased with FD. The opposite was observed for HS QTL. The proportion of CB QTL decreased as FD deviated from 0.5. Accuracy of map position tended to be greatest for CB QTL. Models were applied to a cross of Berkshire and Yorkshire pig breeds and revealed 160 (40) QTL at the 5% chromosome (genome)-wise level for the 39 growth, carcass composition and quality traits, of which 72, 54, and 34 were declared as LC, HS and CB QTL. Fourteen CB QTL were detected only by the combined model. Thus, the combined model can increase power to detect QTL and mapping accuracy and enable characterization of QTL that segregate within breeds.

Tests of candidate genes in breed cross populations for QTL mapping in livestock.

In recent years, several F(2) crosses between outbred lines of livestock have been developed to identify quantitative trait loci (QTL). These populations are valuable for further genetic analysis, including positional candidate gene loci (CGL). Analysis of CGL in F(2) populations is, however, hindered by extensive between-breed linkage disequilibrium (LD). The objectives here were to develop and evaluate three tests for CGL in simulated F(2) breed-cross populations. 1) A standard association test, based on the fixed effect of CGL genotype. This test was significant for CGL at considerable distances from the QTL. 2) A marker-assisted association test, based on a test at the CGL of the fixed effect of CGL genotype in a breed-cross QTL interval mapping model. This removed the impact of between-breed LD, but was not powerful in detecting CGL closely linked to the QTL, unless the CGL was the QTL. 3) An F-drop test, comparing F ratios for a QTL at the CGL with and without the CGL included as fixed effect. It had low power to distinguish close from distant CGL. Power to distinguish two CGL within 10 cM from the QTL was limited and little improved by including QTL effects associated with markers to remove between-breed LD, although the power was greater when one of the CGL was the causative mutation. Therefore, while we conclude that candidate gene tests in QTL mapping populations must be interpreted with caution, we now have a clearer picture of the value of candidate gene tests in these populations.

Murine Tbx2 contains domains that activate and repress gene transcription.

T-box (Tbx) genes represent a phylogenetically conserved family of transcription factors that play important roles during embryonic development. Tbx family members have been shown to either activate or inhibit gene expression. However, little is known about the domains within Tbx proteins responsible for mediating gene transcription. While Tbx2 is known to repress gene expression, the domain(s) within Tbx2 remains poorly defined. Deletion of the carboxy-terminus of Tbx2, which contains a domain that is highly conserved with Tbx3 and ET, which has been demonstrated to contain a repression domain, only minimally diminishes the ability of Tbx2 to repress gene expression. However, in combination with the carboxy-terminal truncation, deletion of the amino acids located amino-terminal to the T-box abolished the ability of Tbx2 to repress gene expression. Both of these domains were capable of repressing gene expression when linked to the GAL4 DNA binding domain. In contrast to these two repression domains, the T-box was capable of weakly activating gene expression depending on the promoter context. Deletion analysis of the T-box suggests that this activation domain is located in the amino-terminal end of the T-box. These results reveal a novel transcription repression domain, confirm the presence of a previously implicated domain, and suggest a novel role for the T-box. Taken together, these results provide the basis for understanding the molecular mechanism whereby Tbx2 regulates gene expression and subsequently controls embryonic development.