首页> 外文期刊>BMC Genomics >Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses
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Understanding the response to endurance exercise using a systems biology approach: combining blood metabolomics, transcriptomics and miRNomics in horses

机译:使用系统生物学方法了解对耐力运动的反应:将血液代谢组学,转录组学和miRNomics相结合

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Background Endurance exercise in horses requires adaptive processes involving physiological, biochemical, and cognitive-behavioral responses in an attempt to regain homeostasis. We hypothesized that the identification of the relationships between blood metabolome, transcriptome, and miRNome during endurance exercise in horses could provide significant insights into the molecular response to endurance exercise. For this reason, the serum metabolome and whole-blood transcriptome and miRNome data were obtained from ten horses before and after a 160?km endurance competition. Results We obtained a global regulatory network based on 11 unique metabolites, 263 metabolic genes and 5 miRNAs whose expression was significantly altered at T1 (post- endurance competition) relative to T0 (baseline, pre-endurance competition). This network provided new insights into the cross talk between the distinct molecular pathways (e.g. energy and oxygen sensing, oxidative stress, and inflammation) that were not detectable when analyzing single metabolites or transcripts alone. Single metabolites and transcripts were carrying out multiple roles and thus sharing several biochemical pathways. Using a regulatory impact factor metric analysis, this regulatory network was further confirmed at the transcription factor and miRNA levels. In an extended cohort of 31 independent animals, multiple factor analysis confirmed the strong associations between lactate, methylene derivatives, miR-21-5p, miR-16-5p, let-7 family and genes that coded proteins involved in metabolic reactions primarily related to energy, ubiquitin proteasome and lipopolysaccharide immune responses after the endurance competition. Multiple factor analysis also identified potential biomarkers at T0 for an increased likelihood for failure to finish an endurance competition. Conclusions To the best of our knowledge, the present study is the first to provide a comprehensive and integrated overview of the metabolome, transcriptome, and miRNome co-regulatory networks that may have a key role in regulating the metabolic and immune response to endurance exercise in horses.
机译:背景技术马匹的耐力运动需要适应过程,包括生理,生化和认知行为反应,以恢复体内平衡。我们假设,在马的耐力运动过程中血液代谢组,转录组和miRNome之间关系的鉴定可以为耐力运动的分子反应提供重要的见识。因此,在160公里的耐力比赛前后,从十匹马中获得了血清代谢组,全血转录组和miRNome数据。结果我们获得了一个基于11种独特代谢物,263个代谢基因和5个miRNA的全球调控网络,其表达在T1(耐力后竞争)相对于T0(基线,耐力前竞争)发生了显着变化。该网络提供了对单独分析单个代谢物或转录本时无法检测到的不同分子途径(例如能量和氧气感应,氧化应激和炎症)之间的串扰的新见解。单一代谢物和转录本起着多种作用,因此共有几种生化途径。使用调节影响因子度量分析,在转录因子和miRNA水平进一步证实了该调节网络。在扩展的31个独立动物队列中,多因素分析证实了乳酸,亚甲基衍生物,miR-21-5p,miR-16-5p,let-7家族与编码与代谢相关的蛋白质的基因之间的强关联。能量,耐力竞争后的泛素蛋白酶体和脂多糖免疫反应。多因素分析还确定了T0可能存在的生物标志物,从而增加了无法完成耐力比赛的可能性。结论据我们所知,本研究是第一个对代谢组,转录组和miRNome协同调节网络进行全面和综合概述的研究,这些网络可能在调节耐力运动的代谢和免疫反应中起关键作用。马匹。

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