Integrated network-diversity analyses suggest suppressive effect of Hodgkin's lymphoma and slightly relieving effect of chemotherapy on human milk microbiome.

Integrated network-diversity analyses suggest suppressive effect of Hodgkin's lymphoma and slightly relieving effect of chemotherapy on human milk microbiome.
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综合网络多样性分析表明,霍奇金淋巴瘤具有抑制作用,化疗对母乳微生物群有轻微缓解作用

DOI:
10.1038/srep28048
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发表时间:
2016-07-08
期刊:
影响因子:
4.6
通讯作者:
Chen H
Chen H
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Ma ZS;Li L;Li W;Li J;Chen H

文献摘要

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我们的目的是通过综合网络和社区多样性分析来研究霍奇金淋巴瘤和治疗该疾病的化疗对母乳微生物组的影响。我们的分析表明,霍奇金淋巴瘤似乎通过降低牛奶微生物群落多样性对牛奶微生物组具有抑制作用,如希尔数谱所测量的。虽然多样性分析没有揭示化学疗法对群落多样性的影响,但细菌物种相互作用网络分析表明,化学疗法可能有助于通过其对物种(或OTU)之间相互作用的影响轻微恢复受霍奇金淋巴瘤影响的牛奶微生物组。进一步构建了多样性-代谢物网络,结果表明,乳微生物多样性与有益代谢物DHA(二十二碳六烯酸)呈正相关,与潜在有害代谢物丁醛呈负相关。因此,我们推测,较高的牛奶微生物多样性应该是健康母亲的标志,对婴儿有益。最后,我们构建了代谢物OTU相关网络,并从中识别出一些特殊的OTU。这些OTU值得进一步研究,因为它们明显参与调节关键乳代谢物如DHA、肌醇和丁醛的水平。
We aim to investigate the effects of Hodgkin’s lymphoma and the chemotherapy for treating the disease on the human milk microbiome through integrated network and community diversity analyses. Our analyses suggest that Hodgkin’s lymphoma seems to have a suppressing effect on the milk microbiome by lowering the milk microbial community diversity, as measured by the Hill numbers profiles. Although the diversity analysis did not reveal an effect of chemotherapy on community diversity, bacterial species interaction network analysis shows that chemotherapy may help to slightly restore the milk microbiome impacted by Hodgkin’s lymphoma through its influence on the interactions among species (or OTUs). We further constructed diversity-metabolites network, which suggests that the milk microbial diversity is positively correlated with some beneficial milk metabolites such as DHA (DocosaHexaenoic Acid), and that the diversity is negatively correlated with some potentially harmful metabolites such as Butanal. We hence postulate that higher milk microbial diversity should be a signature of healthy mothers and beneficial to infants. Finally, we constructed metabolites OTU correlation networks, from which we identified some special OTUs. These OTUs deserve further investigations given their apparent involvements in regulating the levels of critical milk metabolites such as DHA, Inositol and Butanal.