Parkinson's disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

被引:130
|
作者
Baldini, Federico [1 ]
Hertel, Johannes [2 ,3 ]
Sandt, Estelle [4 ]
Thinnes, Cyrille C. [2 ]
Neuberger-Castillo, Lorieza [4 ]
Pavelka, Lukas [1 ,5 ]
Betsou, Fay [4 ]
Krueger, Rejko [1 ,5 ,6 ]
Thiele, Ines [1 ,2 ,7 ,8 ]
机构
[1] Univ Luxembourg, Luxembourg Ctr Syst Biomed LCSB, Campus Belval, Esch Sur Alzette, Luxembourg
[2] Natl Univ Ireland, Sch Med, Galway, Ireland
[3] Univ Med Greifswald, Dept Psychiat & Psychotherapy, Greifswald, Germany
[4] Integrated BioBank Luxembourg, Dudelange, Luxembourg
[5] Ctr Hosp Luxembourg CHL, Parkinson Res Clin, Luxembourg, Luxembourg
[6] Luxembourg Inst Hlth LIH, Transversal Translat Med, Strassen, Luxembourg
[7] Natl Univ Ireland, Sch Nat Sci, Discipline Microbiol, Galway, Ireland
[8] APC Microbiome, Cork, Ireland
基金
欧盟地平线“2020”; 欧洲研究理事会;
关键词
Parkinson's disease; Gut microbiome; Computational modelling; Metabolic modelling; Transsulfuration pathway; RIBOSOMAL-RNA GENE; SYSTEMS BIOLOGY; MOUSE; MUTATIONS; BEHAVIOR; MODEL; DIET; RISK;
D O I
10.1186/s12915-020-00775-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Parkinson's disease (PD) is a systemic disease clinically defined by the degeneration of dopaminergic neurons in the brain. While alterations in the gut microbiome composition have been reported in PD, their functional consequences remain unclear. Herein, we addressed this question by an analysis of stool samples from the Luxembourg Parkinson's Study (n = 147 typical PD cases,n = 162 controls). Results All individuals underwent detailed clinical assessment, including neurological examinations and neuropsychological tests followed by self-reporting questionnaires. Stool samples from these individuals were first analysed by 16S rRNA gene sequencing. Second, we predicted the potential secretion for 129 microbial metabolites through personalised metabolic modelling using the microbiome data and genome-scale metabolic reconstructions of human gut microbes. Our key results include the following. Eight genera and seven species changed significantly in their relative abundances between PD patients and healthy controls. PD-associated microbial patterns statistically depended on sex, age, BMI, and constipation. Particularly, the relative abundances ofBilophilaandParaprevotellawere significantly associated with the Hoehn and Yahr staging after controlling for the disease duration. Furthermore, personalised metabolic modelling of the gut microbiomes revealed PD-associated metabolic patterns in the predicted secretion potential of nine microbial metabolites in PD, including increased methionine and cysteinylglycine. The predicted microbial pantothenic acid production potential was linked to the presence of specific non-motor symptoms. Conclusion Our results suggest that PD-associated alterations of the gut microbiome can translate into substantial functional differences affecting host metabolism and disease phenotype.
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页数:21
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