015 Gut microbiota and nutritional profiles of Parkinson’s disease patients

M. Lubomski, Xiangnan Xu, A. Holmes, Samuel Mueller, J. Yang, C. Sue, R. Davis
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Abstract

Objectives Imbalances in the composition of the gut microbiome (GM) from Parkinson’s disease (PD) patients have been reported previously. Collectively, the limited literature indicates a reduction in short-chain fatty-acid–producing bacteria that negatively influence colonic permeability and inflammation. We investigated GM composition in association with various clinical features and nutritional data in a large cross-sectional Australian PD cohort, to determine whether short-chain fatty-acid–producing bacteria representation in the GM was altered in association with clinical or nutritional differences between PD patients and controls. Methods Clinical outcome measures derived from PD-validated questionnaires and stool samples were collected from 103 PD patients and 81 spousal healthy controls (HCs). GM composition, determined from 16S amplicon sequencing of the V3-V4 region of stool bacterial DNA, was compared between groups and with clinical outcome measures. Results We identified significant compositional differences in the GM profiles of PD patients compared to HCs, across order, family and genus taxonomic levels. Multiple taxa were associated with a variety of clinical PD characteristics. Predictive models using GM profiles were developed to identify PD and were improved by incorporating nutritional data. Conclusions We identified notable differences in microbial diversity and GM composition in PD patients compared to HCs that, along with nutritional data, enabled the development of predictive modelling to identify PD. These findings further support the GM as a potentially useful biomarker of PD pathophysiology.
帕金森氏症患者的肠道微生物群和营养状况
目的:帕金森病(PD)患者肠道微生物组(GM)组成失衡已被报道过。总的来说,有限的文献表明,对结肠通透性和炎症产生负面影响的短链脂肪酸产生细菌的减少。我们在一个大型横断面澳大利亚PD队列中研究了GM成分与各种临床特征和营养数据的关联,以确定PD患者和对照组之间的临床或营养差异是否改变了GM中短链脂肪酸产生细菌的代表性。方法收集103例PD患者和81例配偶健康对照(hc)的PD验证问卷和粪便样本进行临床结果测量。通过粪便细菌DNA V3-V4区的16S扩增子测序确定GM组成,并与组间和临床结果指标进行比较。结果在不同的目、科和属分类水平上,我们发现PD患者与hc患者的GM谱在组成上存在显著差异。多个分类群与多种临床PD特征相关。利用转基因基因图谱建立了预测模型来识别帕金森病,并通过纳入营养数据进行了改进。我们发现了PD患者与hc患者在微生物多样性和转基因成分上的显著差异,这些差异以及营养数据使PD的预测模型得以发展。这些发现进一步支持GM作为PD病理生理的潜在有用的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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