Xiao Yu, Zhao Xue-Ping
Department of Joint, Tianjin Hospital, Hexi, Tianjin 300211, P.R. China.
Department of Orthopedics, Guizhou Space Hospital, Zunyi, Guizhou 563000, P.R. China.
Exp Ther Med. 2019 Apr;17(4):2529-2534. doi: 10.3892/etm.2019.7225. Epub 2019 Jan 31.
Differential expression pathways and hub genes in circulating monocytes from healthy Chinese women with high peak bone mass (PBM) vs. low PBM were explored using a Markov chain Monte Carlo (MCMC) algorithm. Human circulating monocytes transcription profiling (containing 14 samples with high PBM and 12 samples with low PBM) and KEGG pathways were all downloaded from the public database. Initial state of all the pathways were constructed and Gibbs sampling was performed to obtain a Markov chain and the posterior values of all the pathways were calculated. The probability () of occurrence of each pathway was calculated based on the posterior value and it was adjusted by taking gene expression variation into account. Pathways with >0.8 were considered as differentially expressed pathways. Then, these steps were performed again on all the genes in the differentially expressed pathways to find the hub genes in the differential pathways. After Gibbs sampling, neuroactive ligand-receptor interaction (hsa04080) with = 0.986 was screened out as the differentially expressed pathway. Analyzing the genes in this pathway, three genes (neurotensin, tachykinin receptor 3 and follicle-stimulating hormone receptor) with >0.8 were identified as hub genes in circulating monocytes which may associate with osteoporosis development. One pathway and three genes which may possess close relationship with osteoporosis development were found in this study. These results provide insights into our understanding of the role of circulating monocytes in osteoporosis development.
运用马尔可夫链蒙特卡罗(MCMC)算法,探索了中国健康女性中具有高骨峰值(PBM)与低骨峰值的循环单核细胞中的差异表达途径和枢纽基因。人类循环单核细胞转录谱(包含14个高骨峰值样本和12个低骨峰值样本)以及KEGG途径均从公共数据库下载。构建所有途径的初始状态,并进行吉布斯采样以获得马尔可夫链,然后计算所有途径的后验值。基于后验值计算每条途径发生的概率(),并通过考虑基因表达变化进行调整。概率大于0.8的途径被视为差异表达途径。然后,对差异表达途径中的所有基因再次执行这些步骤,以找到差异途径中的枢纽基因。经过吉布斯采样后,概率为0.986的神经活性配体-受体相互作用(hsa04080)被筛选为差异表达途径。分析该途径中的基因,发现三个概率大于0.8的基因(神经降压素、速激肽受体3和促卵泡激素受体)是循环单核细胞中的枢纽基因,可能与骨质疏松症的发展相关。本研究发现了一条可能与骨质疏松症发展密切相关的途径和三个基因。这些结果为我们理解循环单核细胞在骨质疏松症发展中的作用提供了见解。