经皮电刺激治疗外伤性外周神经损伤40例的效果分析

目的 本文分析使用经皮神经肌肉电刺激治疗外伤性周围神经损伤的临床疗效,探讨经皮电刺激对神经周围微循环的影响.方法 采用丹迪Keypoint型肌电图仪对40例上肢周围神经不全损伤的患者,行经皮神经肌肉电刺激治疗,配合运动疗法.治疗中使用激光多普勒血流仪(LDF)检测电刺激前、后神经周围微循环血流改变情况,并分析电刺激对微循环的影响.同时在治疗前、后行神经电生理检查对比检测,并对不同病程患者治疗后的效果作对比分析.利用以上分析手段观察受损神经功能的恢复情况.结果 40例臂丛神经、正中神经、桡神经、尺神经不全损伤的患者,经2-10个疗程的治疗后,受损神经功能治愈率达63％ (25/40),有效率为90％ (36/40).LDF检测结果显示电刺激后神经周围微循环血流量较刺激前增加23.36％-26.96％,改善受损神经局部微循环,神经肌电检测结果显示较治疗前有明显好转.在不同病程的患者中进行比较,病程越短者,效果越好.结论 经皮神经肌肉电刺激在外伤性周围神经损伤的治疗中,是一种行之有效的方法,可提高受损神经肌肉的兴奋度,促进受损神经局部的血液循环,有利于周围神经的再生.运动疗法的干预,能改善肌萎缩,增强肌协调力,预防关节僵硬,保持关节活动度,最终取得对外伤性周围神经损伤的满意疗效.应用激光多普勒血流成像技术,测得电刺激前、后神经周围微循环出现明显的血流量增加,证实电刺激能改善受损神经局部微循环.     

益生菌对非酒精性脂肪性肝病小鼠肠道菌群及 STING信号通路的影响

探讨益生菌对高脂饮食（HFD）诱导的非酒精性脂肪性肝病（NAFLD）小鼠肠道菌群及干扰素基因刺激因子（STING）信号通路的影响。

将SPF级雄性C57BL/6小鼠随机分为对照组（n = 20）、实验组（n = 20）及治疗组（n = 20）,对照组小鼠给予普通饲料,实验组和治疗组小鼠给予高脂饲料。喂养12周后,治疗组小鼠给予益生菌治疗,于治疗后第1、2和4周对3组小鼠进行各指标检测。采集小鼠粪便标本检测其肠道菌群数量;应用双能X线吸收法检测小鼠全身脂肪含量;使用酶联免疫吸附剂测定法检测肝功能指标和炎症因子水平;采用RT-qPCR及Western Blot检测STING及相关炎性细胞因子的表达;采用免疫组织化学技术检测巨噬细胞标志物F4/80的表达。

与实验组相比,治疗组小鼠肠道菌群得到改善,双歧杆菌和乳杆菌数量升高,肠杆菌、肠球菌及白假丝酵母数量降低（均P＜0.01）;治疗组小鼠脂肪含量降低（P＜0.01）,肝功能指标谷草转氨酶、丙氨酸氨基转移酶、三酰甘油及STING表达量显著降低（均P＜0.05）,F4/80⁺在肝脏组织中的比例明显降低（P＜0.01）。此外,与实验组相比,治疗组小鼠炎症因子肿瘤坏死因子-α、白介素1β、白介素6、干扰素β表达水平及磷酸化NF-κB p65水平显著降低,JNK-p46水平显著升高（均P＜0.05）。

益生菌可能通过抑制STING-TBK1-NF-κB通路改善肠道菌群,从而改善HFD诱导的NAFLD。

     

代谢综合征与非酒精性脂肪肝临床特征的关系

目的:探讨代谢综合征(metabolic syndrome,MS)与非酒精性脂肪肝(non-alcoholic fatty liver disease,NAFLD)临床特征之间的相关性。方法:从我院2012年1月-2014年2月健康体检资料中抽选326例经超声确诊为NAFLD的患者,作为NAFLD组,并随机抽选335例无脂肪肝患者作为对照组;观察两组患者间的临床特征,并采用Logistic回归分析MS与NAFLD临床特征之间的相关性。结果:NAFLD组患者体重指数(BMI)、血压、丙氨酸氨基转移酶(ALT)、空腹血糖(FBG)、血尿酸(UA)、高密度脂蛋白(HDL-C)、甘油三酯(TG)、天冬氨酸氨基转移酶(AST)水平显著高于对照组(P0.05):两组间低密度脂蛋白(LDL-C)、总胆固醇(TC)比较无显著性(P0.05)。NAFLD组中MS、血脂及糖代谢异常、肥胖以及高血压的检出率明显高于对照组(P0.05)。经Logistic回归分析显示,NAFLD、BMI、TG、HDL-C、高血压及血糖是MS的独立危险因素。结论:NAFLD患者中存在MS的各种组分聚集特征,MS患病率明显升高,NAFLD是MS的独立危险因素之一,因此MS与NAFLD关系密切。     

脊髓全横断损伤后差异表达蛋白的蛋白质组学分析

 对脊髓全横断损伤前后的大鼠脊髓全蛋白质进行双向凝胶电泳,借助PDQuest软件从中找出差异表达蛋白质点.应用基质辅助激光解吸电离串联质谱,对差异表达的蛋白质点进行鉴定,成功鉴定出18种蛋白质.脊髓损伤3 d后表达上调的蛋白质有巨噬细胞游走抑制因子、S期激酶相关蛋白 1、热休克蛋白 27、多配体蛋白聚糖 3、T细胞受体β链可变区、膜联蛋白Ⅲ、腺苷酸激酶 1、半乳凝素 3、丙酮酸脱氢酶、磷脂酶 B、嗜铬粒蛋白 A、热休克蛋白70凝结蛋白 1;同时表达下调的蛋白质有磷酸丙糖异构酶、神经鞘氨醇磷酸化受体、热休克蛋白10、肽酰 脯氨酰 顺反式异构酶 A多数差异蛋白质涉及到神经细胞的增殖、凋亡、应激反应等过程,为进一步阐明中枢神经系统的损伤和修复机制提供了理论依据.摘要 对脊髓全横断损伤前后的大鼠脊髓全蛋白质进行双向凝胶电泳,借助PDQuest软件从中找出差异表达蛋白质点.应用基质辅助激光解吸电离串联质谱,对差异表达的蛋白质点进行鉴定,成功鉴定出18种蛋白质.脊髓损伤3 d后表达上调的蛋白质有巨噬细胞游走抑制因子、S期激酶相关蛋白 1、热休克蛋白 27、多配体蛋白聚糖 3、T细胞受体β链可变区、膜联蛋白Ⅲ、腺苷酸激酶 1、半乳凝素 3、丙酮酸脱氢酶、磷脂酶 B、嗜铬粒蛋白 A、热休克蛋白70凝结蛋白 1;同时表达下调的蛋白质有磷酸丙糖异构酶、神经鞘氨醇磷酸化受体、热休克蛋白10、肽酰 脯氨酰 顺反式异构酶 A多数差异蛋白质涉及到神经细胞的增殖、凋亡、应激反应等过程,为进一步阐明中枢神经系统的损伤和修复机制提供了理论依据.     

The effect of increased deposition of atmospheric nitrogen on Calluna vulgaris in upland Britain

Regular (monthly) additions of NH₄NO₃ (4–12 g N m⁻² yr⁻¹) were made over a period of 8 yr (1989–98) to areas of moorland in North Wales dominated by the ericaceous shrub Calluna vulgaris . Results from the early stages of the experiment (1990–94) have shown marked and dose-related increases in shoot extension and canopy height in response to the nitrogen treatments, with significantly higher shoot nitrogen contents. The nitrogen-related stimulation in the growth of the C. vulgaris canopy over this period has resulted in large accumulations of litter on the high-nitrogen-treated plots (6.6 kg m⁻² in plots treated with 12 g N m⁻² yr⁻¹, compared with 3.8 kg m⁻² for the water controls). Litter nitrogen concentrations were also significantly increased at the higher rates of nitrogen addition, leading to a doubling of the total return of nitrogen to the litter layer over the experimental period. These changes in vegetation structure were associated with large reductions in the abundance of the bryophyte and lichen species normally present under the untreated canopy. Results since 1994, however, show little increase in shoot extension in response to the nitrogen treatments, with no clear dose response to increasing levels of addition. These findings are associated with a dose-related increase in the susceptibility of the nitrogen-treated areas of the C. vulgaris canopy to late winter injury, characterized as browning of the shoot tips in early to late spring. These results indicate that deleterious effects are now accumulating as a result of the long-term addition of nitrogen to these moorland plots.     

Which factors influence the ability of a computational model to predict the in vivo deformation behaviour of skeletal muscle?

Deep tissue injury (DTI) is a severe form of pressure ulcer where tissue damage starts in deep tissues underneath intact skin. Tissue deformation may play an important role in the aetiology, which can be investigated using an experimental–numerical approach. Recently, an animal-specific finite element model has been developed to simulate experiments in which muscle tissue was compressed with an indenter. In this study, the material behaviour and boundary conditions were adapted to improve the agreement between model and experiment and to investigate the influence of these adaptations on the predicted strain distribution. The use of a highly nonlinear material law and including friction between the indenter and the muscle both improved the quality of the model and considerably influenced the estimated strain distribution. With the improved model, the required sample size to detect significant differences between loading conditions can be diminished, which is clearly relevant in experiments involving animals.     

The role of AdipoR1 and AdipoR2 in liver fibrosis

Activation of the adiponectin (APN) signaling axis retards liver fibrosis. However, understanding of the role of AdipoR1 and AdipoR2 in mediating this response is still rudimentary. Here, we sought to elucidate the APN receptor responsible for limiting liver fibrosis by employing AdipoR1 and AdipoR2 knock-out mice in the carbon tetrachloride (CCl₄) model of liver fibrosis. In addition, we knocked down receptor function in primary hepatic stellate cells (HSCs) in vitro. Following the development of fibrosis, AdipoR1 and AdipoR2 KO mice had no quantitative difference in fibrosis by Sirius red staining. However, AdipoR2 KO mice had an enhanced fibrotic signature with increased Col1-α1, TGFß-1, TIMP-1, IL-10, MMP-2 and MMP-9. Knockdown of AdipoR1 or AdipoR2 in HSCs followed by APN treatment demonstrated that AdipoR1 and AdipoR2 did not affect proliferation or TIMP-1 gene expression, while AdipoR2 modulated Col1-α1 and α-SMA gene expression, HSC migration, and AMPK activity. These finding suggest that AdipoR2 is the major APN receptor on HSCs responsible for mediating its anti-fibrotic effects.     

The impact of type I diabetes on rat liver γ-glutamyltranspeptidase

The impact of type 1 diabetes mellitus on liver -glutamyltranspeptidase, a premalignant marker, was studied. Diabetes was induced in male Sprague Dawley and Fischer 344 rats by administration of Streptozotocin, which produced a stable and moderately severe diabetic state. In liver homogenates, -glutamyltranspeptidase was increased over control levels: 1.2, 8.1 and 13,2 fold in Strague-Dawley rats; 4.8, 58.4 and 84.7 fold in Fischer 344 rats; at 1, 3 and 6 weeks following Streptozotocin treatment. In plasma membranes isolated from the livers of Fischer 344 rats, -glutamyltranspeptidase was increased over control levels: 5.6, 75 and 127 fold at weeks 1, 3 and 6 following Streptozotocin treatment. The relative specific activity of 5-nuleohdase was found to be similar: 9–14, indicating comparable degrees of plasma membrane purity. Plasma glutamate-pyruvate transaminase levels were minimally and similarly affected at all time points indicating lack of association of increasing -glutamyltranspeptidase activity with overt liver damage. Thyroid hormone replacement, with both T₃ (0.6 g/Kg) once a day and T₄ (6.0 g/kg) twice a day for three days elicited a further 30% increment in enzyme activity. Insulin replacement (20–40 units/200 g body weight) twice a day for five days reduced enzyme activity 51% at week 6. This was associated with an increase in -glutamyltranspeptidase in the plasma from 14 fold over control levels in the diabetic state at week 6 to 53 fold ever control levels after insulin replacement at week 6. It is proposed that the diabetes-induced increase in -glutamyltranspeptidase is reduced by an insulin-directed shedding of the enzyme into the plasma.     

Changes in UsnRNA biosynthesis during rat liver regeneration

Partial hepatectomy (P.H.) induces a partially synchronized growth response of liver under normal regulation of growth. In this phase changes in cellular morphology, radial distribution pattern of cells and other biological as well as major biochemical changes are well documented [24]. Here, we have shown that the cellular content of UsnRNAs altered during this proliferative phase as well. The level of spliceosomal UsnRNAs (U1, U2, U4–U6) gradually decreased by 30–50% upto 48 hrs of P.H. followed by gradual increase to reach the normal level within one month of P.H. The U3 snRNA level on the other hand, was nearly equal to that in normal liver at 48 hrs of P.H. but in 24 and 72 hrs of P.H. its level was high (4 fold) in contrast to that in other UsnRNAs. Thus, it is clear from our data that the level of all the six UsnRNAs decreased during 48 hrs of P.H. compared to that after first 24 hrs. This has been correlated in the kinetics of UsnRNAs' synthesis (in terms of labelling) in isolated hepatocytes, where the rate of labelling of all the six UsnRNAs increased 20–30% in 24 hrs regenerating hepatocytes (R.H.) followed by sharp decrease by 30–50% within next 24 hrs, compared to that in the normal hepatocytes. But from 72 hrs onwards in R.H. the rate of labelling of all the six UsnRNAs again increased by 30–50% (compared to that in normal hepatocytes) followed by decrease of their labelling-rate to reach the normal level in R.H. within one month of P.H. Thus, it may be concluded that the changes in UsnRNAs' level during the proliferative phase of liver regeneration may be either due to the alteration in the rate of synthesis (in terms of labelling) or along with it differential turn over rate; this phenomenon may have some consequences with the regenerative process of liver.This paper was published in Molecular and Cellular Biochemistry131:67–73, 1994. Kluwer Academic Publishers regret the publication of the only partly corrected version.