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首页> 外文期刊>Molecular Neurobiology >Rheologically Essential Surfactant Proteins of the CSF Interacting with Periventricular White Matter Changes in Hydrocephalus Patients - Implications for CSF Dynamics and the Glymphatic System
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Rheologically Essential Surfactant Proteins of the CSF Interacting with Periventricular White Matter Changes in Hydrocephalus Patients - Implications for CSF Dynamics and the Glymphatic System

机译:CSF的流变基本表面活性剂蛋白与脑积水患者的静脉内白质变性相互作用 - CSF动力学和甘露系统的影响

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摘要

Surfactant proteins (SP) are multi-systemic proteins playing crucial roles in the regulation of rheological properties of physiological fluids, host defense, and the clearance of potentially harmful metabolites. Hydrocephalus patients suffer from disturbed central nervous system (CNS) fluid homeostasis and exhibit remarkably altered SP concentrations within the cerebrospinal fluid (CSF). A connection between CSF-SPs, CSF flow, and ventricular dilatation, a morphological hallmark of hydrocephalus, has been reported previously. However, currently there are no studies investigating the link between rheologically active SPs and periventricular white matter changes caused by impaired CSF microcirculation in hydrocephalic conditions. Thus, the aim of this study was to assess their possible relationships. The present study included 47 individuals (27 healthy subjects and 20 hydrocephalus patients). CSF specimens were analyzed for concentrations of SP-A, SP-C, and SP-D by using enzyme-linked immunosorbent assays (ELISAs). Axial T2w turbo inversion recovery magnitude (TIRM) magnetic resonance imaging was employed in all cases. Using a custom-made MATLAB-based tool for quantification of magnetic resonance signal intensities in the brain, parameters related to disturbed deep white matter CSF microcirculation were estimated (TIRM signal intensity (SI)-mean, minimum, maximum, median, mode, standard deviation, and percentiles, p10th, p25th, p75th, p90th, as well as kurtosis, skewness, and entropy of the SI distribution). Subsequently, statistical analysis was performed (IBM SPSS 24 (TM)) to identify differences between hydrocephalic patients and healthy individuals and to further investigate the connections between CSF-SP changes and deep white matter signal intensities. SP-A (0.38 +/- 0.23 vs. 0.76 +/- 0.49 ng/ml) and SP-C (0.54 +/- 0.28 vs. 1.27 +/- 1.09 ng/ml) differed between healthy controls and hydrocephalus patients in a statistically significant manner. Also, corresponding quantification of white matter signal intensities revealed statistically significant differences between hydrocephalus patients and healthy individuals: SImean (370.41 +/- 188.15 vs. 222.27 +/- 99.86, p = 0.001), SImax (1115.30 +/- 700.12 vs. 617.00 +/- 459.34, p = 0.005), SImedian (321.40 +/- 153.17 vs. 209.52 +/- 84.86, p = 0.001), SImode (276.55 +/- 125.63 vs. 197.26 +/- 78.51, p = 0.011), SIstd (157.09 +/- 110.07 vs. 81.71 +/- 64.94, p = 0.005), SIp10 (229.10 +/- 104.22 vs. 140.00 +/- 63.12, p = 0.001), SIp25 (266.95 +/- 122.62 vs. 175.63 +/- 71.42, p = 0.002), SIp75 (428.80 +/- 226.88 vs. 252.19 +/- 110.91, p = 0.001), SIp90 (596.47 +/- 345.61 vs. 322.06 +/- 176.00, p = 0.001), skewness (1.19 +/- 0.68 vs. 0.43 +/- 1.19, p = 0.014), and entropy (5.36 +/- 0.37 vs. 4.92 +/- 0.51, p = 0.002). There were no differences regarding SP-D levels in hydrocephalus patients vs. healthy controls. In the acute hydrocephalic subgroup, correlations were as follows: SP-A showed a statistically significant correlation with SImax (r = 0.670, p = 0.024), SIstd (r = 0.697, p = 0.017), SIp90 (r = 0.621, p = 0.041), and inverse correlation with entropy (r = - 0.700, p = 0.016). SP-C correlated inversely with entropy (r = - 0.686, p = 0.020). For the chronic hydrocephalus subgroup, the following correlations were identified: SP-A correlated with kurtosis of the TIRM histogram (r = - 0.746, p = 0.021). SP-C correlated with SImean (r = - 0.688, p = 0.
机译:表面活性剂蛋白(SP)是多系统性蛋白质在生理流体,宿主防御和潜在有害代谢物的间流动性的调节中发挥关键作用。脑积水患者患有干扰的中枢神经系统(CNS)流体稳态,并且在脑脊液(CSF)内具有显着改变的SP浓度。先前已经报道了CSF-SPS,CSF流量,CSF流动和心室扩张的联系,是脑积水的形态学标志。然而,目前没有研究调查流变活性的SPS和脑室间白质变性之间的联系,在脑核条件下受损的CSF微循环引起的。因此,本研究的目的是评估他们可能的关系。本研究包括47个个体(27名健康受试者和20名脑积水患者)。通过使用酶联免疫吸附试验(ELISAS)分析CSF标本的SP-A,SP-C和SP-D的浓度。轴向T2W涡轮增压反转恢复幅度(CIRD)在所有情况下都使用磁共振成像。使用基于定制的基于MATLAB的工具进行大脑中的磁共振信号强度的量化,估计与受干扰的深白物质CSF微循环相关的参数(CIRM信号强度(SI) - 架构,最小,最大,中值,模式,标准偏差,百分比,P10TH,P25,P75th,P90th以及Si分布的峰值,偏斜和熵。随后,进行统计分析(IBM SPSS 24(TM)),以鉴定脑脑患者和健康个体之间的差异,并进一步研究CSF-SP变化和深白物质信号强度之间的连接。 SP-A(0.38 +/- 0.23 vs.0.76 +/- 0.49 ng / ml)和SP-C(0.54 +/- 0.28 vs.1.27 +/- 1.09 ng / ml)在A的健康对照和脑积水患者之间不同统计上显着的方式。此外,白质信号强度的相应量化揭示了脑积水患者和健康个体之间的统计学显着差异:Simean(370.41 +/- 188.15与222.27 +/- 99.86,P = 0.001),SIMAX(1115.30 +/- 700.12与617.00 +/- 459.34,p = 0.005),Simedian(321.40 +/- 153.17和209.52 +/- 84.86,p = 0.001),Simode(276.55 +/- 125.63,197.26 +/- 78.51,P = 0.011), SISTD(157.09 +/- 110.07,P = 0.005),SIP10(229.10 +/- 104.22和140.00 +/- 63.12,P = 0.001),SIP25(266.95 +/- 122.62和175.63 +/- 71.42,p = 0.002),SIP75(428.80 +/-226.88和252.19 +/- 110.91,P = 0.001),SIP90(596.47 +/- 345.61和322.06 +/- 176.00,P = 0.001),偏斜(1.19 +/- 0.68 vs. 0.43 +/- 1.19,p = 0.014)和熵(5.36 +/- 0.37与4.92 +/- 0.51,p = 0.002)。脑积水患者对健康对照中的SP-D水平没有差异。在急性脑脑亚组中,相关性如下:SP-A与SIMAX显示统计学显着的相关性(r = 0.670,p = 0.024),SISTD(r = 0.697,p = 0.017),SIP90(r = 0.621,p = 0.041),与熵的反向相关性(r = - 0.700,p = 0.016)。 SP-C与熵相反(r = - 0.686,p = 0.020)。对于慢性脑积水亚组,鉴定了以下相关性:SP-A与Tirm直方图的Kurtosis相关(r = - 0.746,p = 0.021)。 SP-C与Simean相关(r = - 0.688,p = 0。

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