Bayesian analysis improves pulse secretion characterization in reproductive hormones.
Bayesian analysis improves pulse secretion characterization in reproductive hormones.
复制标题
DOI：
10.1080/19396368.2017.1411541
复制
发表时间：
2018-03
影响因子：
2.4
通讯作者：
Carlson NE
中科院分区：
文献类型：
--
作者：
Liu H;Polotsky AJ;Grunwald GK;Carlson NE
下丘脑-垂体-性腺轴中激素的脉冲式分泌对生殖系统的正常功能至关重要。因此，适当表征脉动分泌对于鉴定生殖条件的（病理）生理学是重要的。现有的分析方法往往不能充分表征脉动，特别是当信号噪声比低。较新的贝叶斯分析方法的脉动激素可以提供更好的分泌量化噪声数据。本研究的目的是广泛验证贝叶斯分析方法，用于分析生殖研究中发生的脉动激素。选择了一种调查方法，以便临床研究团队能够在实践中采用这种较新的分析方法。三个实验条件进行了研究：黄体生成素（LH）的档案在卵巢切除母羊（N=6;高信号噪声设置），LH档案在年轻的排卵妇女（N=12;低信号噪声设置），和计算机模拟的情况下（N=200）。对于每个实验条件，获得促黄体生成素脉冲结果（脉冲数、平均脉冲大小、激素半衰期和非脉冲分泌）的差异，并在非贝叶斯和贝叶斯分析脉冲分析方法之间进行比较。对于母羊模型，贝叶斯和非贝叶斯分析之间的估计脉冲数和质量相当。对于人体模型，12名受试者中只有4名可以用非贝叶斯分析拟合，而12名受试者中有10名可以用贝叶斯分析拟合。一般来说，贝叶斯分析与非贝叶斯分析相比具有较低的假阴性率（<4.5%），同时保持高特异性（假阳性率<2.5%）。贝叶斯分析对所有脉搏特征的估计偏差也较小。总之，贝叶斯分析提供了一个更可靠的脉冲表征在低信噪比的实验，并应用于生殖生理研究的脉冲激素的分析。软件可在www.github.com/BayesPulse上获得。
Pulsatile secretion of hormones in the hypothalamic-pituitary-gonadal axis is critical for normal functioning of the reproductive system. Thus, appropriate characterization of pulsatile secretion is important for identifying the (patho)physiology of reproductive conditions. Existing analysis methods often fail to adequately characterize pulsatility, especially when the signal-to-noise ratio is low. Newer Bayesian analysis methods for pulsatile hormones may offer improved secretion quantification in noisier data. The objective of this study was to extensively validate a Bayesian analysis approach for analyzing pulsatile hormones in settings that occur in reproductive studies. An investigative approach was chosen so that clinical research teams will have the knowledge to adopt this newer analysis approach in practice. Three experimental conditions were investigated: luteinizing hormone (LH) profiles in ovariectomized ewes (N=6; high signal-to-noise setting), LH profiles in young ovulating women (N=12; lower signal-to-noise setting), and computer-simulated scenarios (N=200). For each experimental condition, differences in luteinizing hormone pulse outcomes (pulse number, average pulse size, hormone half-life, and non-pulse secretion) were obtained and compared between non-Bayesian and Bayesian analysis pulse analysis methods. For the ewe model, the estimated pulse number and mass were comparable between the Bayesian and non-Bayesian analyses. For the human model, only 4 of 12 subjects could be fitted with the non-Bayesian analysis compared to 10 of the 12 with Bayesian analysis. In general, the Bayesian analysis had lower false negative rates (<4.5%) compared to the non-Bayesian analysis while maintaining a high specificity (false positive rate <2.5%). The Bayesian analysis also had less biased estimates of all pulse features. In conclusion, Bayesian analysis provides a more reliable pulse characterization in low signal-to-noise experiments and should be used for the analysis of reproductive physiology studies of pulsatile hormones. Software is available at www.github.com/BayesPulse.
登录
查看更多内容
DOI：
10.1073/pnas.1321404111
发表时间：
2014-04-15
影响因子：
11.1
作者：
Wang, Huizhen;Larson, Melissa;Kumar, T. Rajendra
通讯作者：
Kumar, T. Rajendra
影响因子：
1.9
作者：
Carlson, Nichole E.;Johnson, Timothy D.;Brown, Morton B.
通讯作者：
Brown, Morton B.
影响因子：
2
作者：
MAUGER, DT;BROWN, MB;KUSHLER, RH
通讯作者：
KUSHLER, RH
DOI：
10.1152/ajpendo.00133.2003
发表时间：
2003-11-01
影响因子：
5.1
作者：
Keenan, DM;Evans, WS;Veldhuis, JD
通讯作者：
Veldhuis, JD
影响因子：
1.5
作者：
SANTORO, N;ELZAHR, D
通讯作者：
ELZAHR, D