崔亚男, 佘晓俊, 李宁宁, 张秀芝, 崔博, 余善法. 噪声暴露对大鼠肠道菌群结构的影响及功能预测[J]. 环境与职业医学, 2022, 39(2): 179-185. DOI: 10.11836/JEOM21278
引用本文: 崔亚男, 佘晓俊, 李宁宁, 张秀芝, 崔博, 余善法. 噪声暴露对大鼠肠道菌群结构的影响及功能预测[J]. 环境与职业医学, 2022, 39(2): 179-185. DOI: 10.11836/JEOM21278
CUI Yanan, SHE Xiaojun, LI Ningning, ZHANG Xiuzhi, CUI Bo, YU Shanfa. Effects of noise exposure on structure and functional prediction of intestinal microbiota in rats[J]. Journal of Environmental and Occupational Medicine, 2022, 39(2): 179-185. DOI: 10.11836/JEOM21278
Citation: CUI Yanan, SHE Xiaojun, LI Ningning, ZHANG Xiuzhi, CUI Bo, YU Shanfa. Effects of noise exposure on structure and functional prediction of intestinal microbiota in rats[J]. Journal of Environmental and Occupational Medicine, 2022, 39(2): 179-185. DOI: 10.11836/JEOM21278

噪声暴露对大鼠肠道菌群结构的影响及功能预测

Effects of noise exposure on structure and functional prediction of intestinal microbiota in rats

  • 摘要: 背景 噪声对机体产生多种负面影响,肠道菌群受环境影响并与疾病的发生密切相关。目前关于长期噪声暴露对肠道菌群的影响知之甚少。

    目的 研究旨在探究噪声暴露对大鼠肠道菌群结构的影响,并进行菌群功能预测。

    方法 雄性Wistar大鼠(6周龄,160~180 g)被随机分为对照、95 dB 噪声暴露(NE_95dB)组和105 dB 噪声暴露(NE_105dB)组,每组10只。NE_95dB和NE_105dB组大鼠分别暴露于95 dB声压级(SPL)及105 dB SPL的噪声中,每天4 h,连续30 d,对照组则暴露于背景噪声下。在末次噪声暴露结束后采集大鼠粪便用于肠道菌群的检测。基于16S 核蛋白体RNA(rRNA)基因测序法对大鼠粪便中的菌群α、β多样性及结构进行分析比较,并应用隐性状态重建群落系统进化研究(PICRUSt)对肠道菌群基因进行功能预测。

    结果 噪声暴露后大鼠肠道菌群结构与对照组比较存在差异。α多样性结果中, NE_95dB组与NE_105dB组比较的Chao1指数差异有统计学意义(P=0.02),而噪声暴露组的Shannon和Simpson指数相对于对照组差异均无统计学意义(P>0.05)。β多样性分析显示对照组与噪声暴露组样本之间的物种丰度差异较大(P=0.001)。进一步的物种分析表明,与对照组比较,在属水平的瘤胃菌属NK4A214群(P<0.05)和未分类_消化球菌属(P<0.01)的相对丰度在NE_105dB组增高,副沙门氏菌属(P<0.05)在NE_95dB组的相对丰度增高。除此之外,与NE_95dB组比较,瘤胃菌属NK4A214群(P<0.05)在NE_105dB组也增高。PICRUSt功能预测分析显示:对照组与NE_95dB组比较的差异通路共8个,其中D-精氨酸和D-鸟氨酸代谢、抗坏血酸和醛糖酸盐代谢、类胡萝卜素生物合成、甘油磷脂新陈代谢、矿物质吸收、核苷酸结合寡聚化结构域样受体信号通路和非同源性末端结合下调,核苷酸代谢上调;对照组与NE_105dB组比较的差异通路共38个;D-精氨酸和D-鸟氨酸代谢、矿物质吸收通路是两噪声暴露组共同存在的差异代谢通路,且相对于对照组都呈下调趋势。

    结论 长期噪声暴露改变了大鼠肠道菌群结构,并可能影响多种菌群基因代谢功能。

     

    Abstract: Background Noise has multiple negative effects on the organism, and gut microbes are influenced by the environment and are closely associated with the development of diseases. Currently, the effects of chronic noise exposure on intestinal microbiota are poorly understood.

    Objective To investigate the effects of noise exposure on the structure of rat gut microbiota and to make predictions of gut microbiota function.

    Methods Male Wistar rats (6 weeks old, 160-180 g) were randomly divided into control, NE_95dB, and NE_105dB groups, 10 rats in each group. Rats in the NE_95dB and the NE_105dB groups were exposed to noise at 95 dB sound pressure level (SPL) and 105 dB SPL, respectively, 4 h per day for consecutive 30 d, while the control group was exposed to background noise. Feces were collected after the last noise exposure for intestinal microbiota detection. Based on the 16S ribosomal RNA (rRNA) gene sequencing method, the diversity and structure of microbiota in rat intestinal contents were analyzed and compared. Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was applied to predict functions of the identified intestinal microbiota genes.

    Results Significant differences were found in the microbial structure of the rat gut after the designed noise exposure. In the α diversity results, there was a statistically significant difference in the Chao1 index between the NE_95dB group and the NE_105dB group (P=0.02), while there were no statistically significant differences in the Shannon and Simpson indexes between the noise exposure groups and the control group (P>0.05). The β diversity analysis results showed significant differences in species abundance between the control group and the noise exposure groups (P=0.001). Further species analysis results showed that the relative abundances of the Ruminococcaceae_NK4A214_group (P<0.05) and Peptococcaceae_unclassified (P<0.01) at the genus level were significantly higher in the NE_105dB group, and the relative abundance of Parasutterella (P<0.05) was significantly higher in the NE_95dB group compared to the control group. In addition, the Ruminococcaceae_NK4A214_group (P<0.05) was also significantly higher in the NE_105dB group compared to the NE_95dB group. The PICRUSt functional prediction analysis results showed that there were eight differential pathways between the control group and the NE_95dB group, in which D-arginine and D-ornithine metabolism, ascorbate and aldarate metabolism, carotenoid biosynthesis, glycerophospholipid metabolism, mineral absorption, NOD-like receptor signaling pathway and non-homologous end-joining were significantly down-regulated, and nucleotide metabolism was significantly up-regulated. There were 38 differential pathways between the control group and the NE_105dB group. Among them, D-arginine and D-ornithine metabolism, and mineral absorption were the differential metabolic pathways in both noise exposure groups, and both were down-regulated relative to the control group.

    Conclusion Chronic noise exposure could alter structure of rat gut microbiota and may affect metabolic functions of multiple microbiota genes.

     

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