脐带间充质干细胞对卵巢早衰家兔的治疗效果及机制研究

摘要 目的：分析脐带间充质干细胞对卵巢早衰家兔的治疗效果及机制研究。方法：经腹腔连续注射 2 d 环磷酰胺50 mg/（kg?d）建立卵巢早衰家兔模型。将建模成功的10只家兔随机分成模型组和治疗组,每组5只。建模一周后,治疗组家兔每天经耳缘静脉注射5×10⁶/mL脐带间充质干细胞混悬液2 mL,连续注射3 d。模型组家兔经耳缘静脉注射等量无菌生理盐水。于治疗后 0 d、7 d、14 d和28 d,取家兔静脉血检查血清激素表达水平。于治疗后28 d,检测家兔卵巢中生长卵泡数、封闭卵泡数、黄体数、富半胱氨酸蛋白61（CYR61）和结缔组织生长因子（CTGF）mRNA及蛋白质相对表达量。结果：治疗前,模型组和治疗组家兔血清雌二醇（E₂）、促卵泡生成素（FSH）、FSH/黄体生成素（LH）、抑制素B（INHB）和抗苗勒管激素（AMH）、均无显著差异（P＞0.05）。与模型组相比,治疗后治疗组家兔血清E₂和INHB水平显著上升（P＜0.05）,FSH水平显著下降（P＜0.05）,FSH/LH均无显著差异（P＞0.05）。随着治疗时间延长,治疗组家兔血清E₂和FSH水平周期性波动。治疗28 d后,与模型组相比,治疗组家兔血清AMH水平显著升高（P＜0.05）;卵巢组织中CYR61和CTGF mRNA及蛋白质相对表达量均显著升高（P＜0.05）;生长卵泡数显著升高（P＜0.05）;封闭卵泡数和黄体数均显著降低（P＜0.05）。结论：静脉注射脐带间充质干细胞可通过上调CYR61和CTGF的表达,促进卵泡生成,恢复卵巢功能,达到治疗卵巢早衰的临床效应。     

Pyridostigmine improves cardiac function and rhythmicity through RyR2 stabilization and inhibition of STIM1-mediated calcium entry in heart failure

Heart failure (HF) is characterized by asymmetrical autonomic balance. Treatments to restore parasympathetic activity in human heart failure trials have shown beneficial effects. However, mechanisms of parasympathetic-mediated improvement in cardiac function remain unclear. The present study examined the effects and underpinning mechanisms of chronic treatment with the cholinesterase inhibitor, pyridostigmine (PYR), in pressure overload HF induced by transverse aortic constriction (TAC) in mice. TAC mice exhibited characteristic adverse structural (left ventricular hypertrophy) and functional remodelling (reduced ejection fraction, altered myocyte calcium (Ca) handling, increased arrhythmogenesis) with enhanced predisposition to arrhythmogenic aberrant sarcoplasmic reticulum (SR) Ca release, cardiac ryanodine receptor (RyR2) hyper-phosphorylation and up-regulated store-operated Ca entry (SOCE). PYR treatment resulted in improved cardiac contractile performance and rhythmic activity relative to untreated TAC mice. Chronic PYR treatment inhibited altered intracellular Ca handling by alleviating aberrant Ca release and diminishing pathologically enhanced SOCE in TAC myocytes. At the molecular level, these PYR-induced changes in Ca handling were associated with reductions of pathologically enhanced phosphorylation of RyR2 serine-2814 and STIM1 expression in HF myocytes. These results suggest that chronic cholinergic augmentation alleviates HF via normalization of both canonical RyR2-mediated SR Ca release and non-canonical hypertrophic Ca signaling via STIM1-dependent SOCE.     

卵巢早衰患者血清抑制素B、抗苗勒管激素及性激素水平与子宫动脉血流参数的相关性研究

目的:探讨卵巢早衰(POF)患者血清抑制素B(INHB)、抗苗勒管激素(AMH)及性激素水平与子宫动脉血流参数的相关性。方法:选择2018年5月至2020年5月期间我院收治的126例POF患者(POF组)和同期于我院进行体检的85例健康女性志愿者(对照组)。检测所有研究对象血清INHB、AMH以及促黄体生成素(LH)、促卵泡激素(FSH)、雌二醇(E2)水平,经阴道多普勒超声检测子宫动脉血流参数[收缩期峰值流速(PSV)、舒张末期流速(EDV),血流阻力指数(RI)、搏动指数(PI)]。Pearson相关性分析POF患者血清INHB、AMH、LH、FSH、E2水平与PSV、EDV、RI、PI的相关性。结果:POF组血清INHB、AMH、E2水平、PSV、EDV低于对照组(P<0.05),LH、FSH水平、RI、PI高于对照组(P<0.05)。Pearson相关性分析结果显示POF患者血清INHB、AMH、E2水平与PSV、EDV呈正相关(P<0.05),与RI、PI呈负相关(P<0.05),LH、FSH与PSV、EDV呈负相关(P<0.05),与RI、PI呈正相关(P<0.05)。结论:POF患者血清INHB、AMH、E2水平降低,LH、FSH水平升高,血清INHB、AMH和性激素与子宫动脉血流受限有关。     

An Approach Based on Mutually Informed Neural Networks to Optimize the Generalization Capabilities of Decision Support Systems Developed for Heart Failure Prediction

Available clinical methods for heart failure (HF) diagnosis are expensive and require a high-level of experts intervention. Recently, various machine learning models have been developed for the prediction of HF where most of them have an issue of over-fitting. Over-fitting occurs when machine learning based predictive models show better performance on the training data yet demonstrate a poor performance on the testing data and the other way around. Developing a machine learning model which is able to produce generalization capabilities (such that the model exhibits better performance on both the training and the testing data sets) could overall minimize the prediction errors. Hence, such prediction models could potentially be helpful to cardiologists for the effective diagnose of HF. This paper proposes a two-stage decision support system to overcome the over-fitting issue and to optimize the generalization factor. The first stage uses a mutual information based statistical model while the second stage uses a neural network. We applied our approach to the HF subset of publicly available Cleveland heart disease database. Our experimental results show that the proposed decision support system has optimized the generalization capabilities and has reduced the mean percent error (MPE) to 8.8% which is significantly less than the recently published studies. In addition, our model exhibits a 93.33% accuracy rate which is higher than twenty eight recently developed HF risk prediction models that achieved accuracy in the range of 57.85% to 92.31%. We can hope that our decision support system will be helpful to cardiologists if deployed in clinical setup.     

Micro-finite element simulation of trabecular-bone post-yield behaviour – effects of material model,element size and type

Micro-finite element (micro-FE) analysis became a standard tool for the evaluation of trabecular bone mechanical properties. The accuracy of micro-FE models for linear analyses is well established. However, the accuracy of recently developed nonlinear micro-FE models for simulations of trabecular bone failure is not known. In this study, a trabecular bone specimen was compressed beyond the apparent yield point. The experiment was simulated using different micro-FE meshes with different element sizes and types, and material models based on cortical bone. The results from the simulations were compared with experimental results to study the effects of the different element and material models. It was found that a decrease in element size from 80 to 40 μm had little effect on predicted post-yield behaviour. Element type and material model had significant effects. Nevertheless, none of the established material models for cortical bone were able to predict the typical descent in the load-displacement curve seen during compression of trabecular bone.     

Physiological control of an in-series connected pulsatile VAD: numerical simulation study

This paper investigates ventricular assist device (VAD)-assisted cardiovascular dynamics under proportion–integration–differentiation (PID) feedback control. Previously, we have studied the cardiovascular responses under the support of an in-series connected reciprocating-valve VAD through numerical simulation, and no feedback control was applied in the VAD. In this research, we explore the contribution of the VAD control on the circulatory dynamics assisted by the reciprocating-valve VAD, in response to the changing physiological conditions. The classical PID control algorithm is implemented to regulate the VAD stroke beat-to-beat, based on the error signal between the expected and the realistic mean aortic pressures. Simulation results show that under the PID VAD control, physiological variables such as left atrial, ventricular and systemic arterial pressures, cardiac output and ventricular volumes are satisfactorily maintained in the physiological ranges. With the online PID feedback control, operation of the reciprocating-valve VAD can be satisfactorily regulated to accommodate metabolic requirements under various physiological conditions including normal resting and exercise situations.     

Finite element analysis of Stryker Xia pedicle screw in artificial bone samples with and without supplemental cement augmentation

A validated, using in vitro biomechanical testing, finite element model was used to evaluate the affects of (1) cement augmentation and (2) an intact posterior cortex in osteoporotic bone. The presence of augmentation and/or a posterior cortical cortex increased the stabilization of the pedicle screw 2–5 fold. Placement of cement influenced failure load and toggle; with distal placement having the largest increase in failure load and decrease in cephalad–caudad toggle. The presence of posterior cortex caused a decrease in the amount of toggle, a proximal shift of the center of rotation and an increase in the maximum failure force.