雄激素受体表达神经元的定量和犬杏仁体基底外侧核群的体积估计

C. Jacobs, W. Van Den Broeck, P. Simoens
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引用次数: 9

摘要

研究了犬杏仁体基底外侧核群(BNG)中表达雄激素受体(AR)的神经元的体视学定量。采用Cavalieri法估计BNG体积,采用物理定向器技术评估普通和ar阳性BNG神经元的数值密度和总数。在nsll染色切片上评估BNG神经元总数和BNG体积,同时使用间接免疫组织化学观察AR。在这些免疫组化切片中,神经元、星形胶质细胞和少突胶质细胞之间的形态分化受到这些细胞中AR的细胞质定位的阻碍。因此,根据这些细胞的核直径制定了一个额外的标准。截止值为7.4 μm,灵敏度为97.7%,特异度为97.6%。BNG的体积与其神经元的数量密度呈负相关,这意味着大的BNG不一定有更多的神经元数量。因此,除了评估神经元总数外,还应评估BNG的数值密度或体积,从而证明在本研究中使用物理定向器而不是分馏器技术是合理的。然而,由于间接测量细胞数,物理指示器法得到的神经元总数误差系数较高。因此,当使用定向器方法时,估计的精度必须足够高,以补偿这种间接计算总单元数所造成的精度损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantification of neurons expressing androgen receptor and volume estimation of the basolateral nuclear group of the canine amygdaloid body

A protocol was developed for the stereological quantification of neurons expressing androgen receptor (AR) in the basolateral nuclear group (BNG) of the canine amygdaloid body. The Cavalieri method was used to estimate the BNG volume and the physical disector technique was applied for assessing the numerical densities and total numbers of both ordinary and AR-positive BNG neurons. The overall number of BNG neurons and the BNG volume were assessed on Nissl-stained sections, while AR was visualised using indirect immunohistochemistry. The morphological differentiation between neurons, astrocytes, and oligodendrocytes in these immunohistochemical sections was hampered by the cytoplasmic localisation of AR in these cells. Therefore, an additional criterion was developed based on the nuclear diameters of these cells. With the cutoff value of 7.4 μm, a sensitivity of 97.7% and specificity of 97.6% were obtained. A negative correlation was found between the BNG volume and the numerical density of its neurons, implicating that a large BNG will not necessarily have a higher number of neurons. Therefore, the numerical density or BNG volume should always be assessed in addition to the total number of neurons, justifying the use of the physical disector instead of the fractionator technique in the present study. However, higher coefficients of error were obtained for the total number of neurons with the physical disector method because of the indirect measurement of cell numbers. Therefore, the precision of the estimates must be high enough when using the disector method to compensate the precision loss caused by this indirect calculation of the total cell number.

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