Updated pub list

publications.bib

@@ -234,4 +234,17 @@ @Article{ 10.12688/f1000research.27500.1
 YEAR = {2020},
 NUMBER = {1398},
 DOI = {10.12688/f1000research.27500.1}
+}
+
+@article{Baldini2020,
+   abstract = {© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License. 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 of Bilophila and Paraprevotella were 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.},
+   author = {F. Baldini and J. Hertel and E. Sandt and C.C. Thinnes and L. Neuberger-Castillo and L. Pavelka and F. Betsou and R. Krüger and I. Thiele and D. Allen and W. Ammerlann and M. Aurich and R. Balling and P. Banda and K. Beaumont and R. Becker and D. Berg and S. Binck and A. Bisdorff and D. Bobbili and K. Brockmann and J. Calmes and L. Castillo and N. Diederich and R. Dondelinger and D. Esteves and J.-Y. Ferrand and R. Fleming and M. Gantenbein and T. Gasser and P. Gawron and L. Geffers and V. Giarmana and E. Glaab and C.P.C. Gomes and N. Goncharenko and J. Graas and M. Graziano and V. Groues and A. Grünewald and W. Gu and G. Hammot and A.-M. Hanff and L. Hansen and M. Hansen and H. Haraldsdöttir and L. Heirendt and S. Herbrink and S. Herzinger and M. Heymann and K. Hiller and G. Hipp and M. Hu and L. Huiart and A. Hundt and N. Jacoby and J. Jarosław and Y. Jaroz and P. Kolber and J. Kutzera and Z. Landoulsi and C. Larue and R. Lentz and I. Lie-Pelt and R. Liszka and L. Longhino and V. Lorentz and C. Mackay and W. Maetzler and K. Marcus and G. Marques and J. Martens and C. Mathay and P. Matyjaszczyk and P. May and F. Meisch and M. Menster and M. Minelli and M. Mittelbronn and B. Mollenhauer and K. Mommaerts and C. Moreno and F. Mühlschlegel and R. Nati and U. Nehrbass and S. Nickels and B. Nicolai and J.-P. Nicolay and A. Noronha and W. Oertel and M. Ostaszewski and S. Pachchek and C. Pauly and M. Perquin and D. Reiter and I. Rosety and K. Rump and V. Satagopam and M. Schlesser and S. Schmitz and S. Schmitz and R. Schneider and J. Schwamborn and A. Schweicher and J. Simons and L. Stute and \myname{Trefois} and J.-P. Trezzi and M. Vaillant and D. Vasco and M. Vyas and R. Wade-Martins and P. Wilmes and G. Aguayo},
+   doi = {10.1186/s12915-020-00775-7},
+   issn = {17417007},
+   issue = {1},
+   journal = {BMC Biology},
+   keywords = {Computational modelling,Gut microbiome,Metabolic modelling,Parkinson’s disease,Transsulfuration pathway},
+   title = {Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions},
+   volume = {18},
+   year = {2020},
 }