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4 results on '"Jacoby, Nadine"'

1. Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome

Author

Klee, Matthias, Aho, V. T. E., May, P., Heintz-Buschart, A., Landoulsi, Z., Jónsdóttir, S. R., Pauly, C., Pavelka, L., Delacour, L., Kaysen, A., Krüger, R., Wilmes, P., Leist, A. K., Acharya, Geeta, Aguayo, Gloria, Alexandre, Myriam, Ali, Muhammad, Ammerlann, Wim, Arena, Giuseppe, Bassis, Michele, Batutu, Roxane, Beaumont, Katy, Béchet, Sibylle, Berchem, Guy, Bisdorff, Alexandre, Boussaad, Ibrahim, Bouvier, David, Castillo, Lorieza, Contesotto, Gessica, De Bremaeker, Nancy, Dewitt, Brian, Diederich, Nico, Dondelinger, Rene, Ramia, Nancy E, Ferrari, Angelo, Frauenknecht, Katrin, Fritz, Joëlle, Gamio, Carlos, Gantenbein, Manon, Gawron, Piotr, Georges, Laura, Ghosh, Soumyabrata, Giraitis, Marijus, Glaab, Enrico, Goergen, Martine, Gómez De Lope, Elisa, Graas, Jérôme, Graziano, Mariella, Groues, Valentin, Grünewald, Anne, Hammot, Gaël, Hanff, Anne-Marie, Hansen, Linda, Heneka, Michael, Henry, Estelle, Henry, Margaux, Herbrink, Sylvia, Herzinger, Sascha, Hundt, Alexander, Jacoby, Nadine, Jónsdóttir, Sonja, Klucken, Jochen, Kofanova, Olga, Krüger, Rejko, Lambert, Pauline, Landoulsi, Zied, Lentz, Roseline, Longhino, Laura, Lopes, Ana Festas, Lorentz, Victoria, Marques, Tainá M., Marques, Guilherme, Martins Conde, Patricia, May, Patrick, Mcintyre, Deborah, Mediouni, Chouaib, Meisch, Francoise, Mendibide, Alexia, Menster, Myriam, Minelli, Maura, Mittelbronn, Michel, Mtimet, Saïda, Munsch, Maeva, Nati, Romain, Nehrbass, Ulf, Nickels, Sarah, Nicolai, Beatrice, Nicolay, Jean-Paul, Noor, Fozia, Gomes, Clarissa P. C., Pachchek, Sinthuja, Pauly, Claire, Pauly, Laure, Pavelka, Lukas, Perquin, Magali, Pexaras, Achilleas, Rauschenberger, Armin, Rawal, Rajesh, Reddy Bobbili, Dheeraj, Remark, Lucie, Richard, Ilsé, Roland, Olivia, Roomp, Kirsten, Rosales, Eduardo, Sapienza, Stefano, Satagopam, Venkata, Schmitz, Sabine, Schneider, Reinhard, Schwamborn, Jens, Severino, Raquel, Sharify, Amir, Soare, Ruxandra, Soboleva, Ekaterina, Sokolowska, Kate, Theresine, Maud, Thien, Hermann, Thiry, Elodie, Ting Jiin Loo, Rebecca, Trouet, Johanna, Tsurkalenko, Olena, Vaillant, Michel, Vega, Carlos, Vilas Boas, Liliana, Wilmes, Paul, Wollscheid-Lengeling, Evi, and Zelimkhanov, Gelani

Published
2024
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2. Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning

Author

Acharya, Geeta, Aguayo, Gloria, Alexandre, Myriam, Ali, Muhammad, Ammerlann, Wim, Arena, Giuseppe, Bassis, Michele, Batutu, Roxane, Beaumont, Katy, Béchet, Sibylle, Berchem, Guy, Bisdorff, Alexandre, Boussaad, Ibrahim, Bouvier, David, Castillo, Lorieza, Contesotto, Gessica, DE Bremaeker, Nancy, Dewitt, Brian, Diederich, Nico, Dondelinger, Rene, Ramia, Nancy E., Ferrari, Angelo, Frauenknecht, Katrin, Fritz, Joëlle, Gamio, Carlos, Gantenbein, Manon, Gawron, Piotr, Georges, Laura, Ghosh, Soumyabrata, Giraitis, Marijus, Glaab, Enrico, Goergen, Martine, Gómez DE Lope, Elisa, Graas, Jérôme, Graziano, Mariella, Groues, Valentin, Grünewald, Anne, Hammot, Gaël, Anne-Marie, H.A.N.F.F., Hansen, Linda, Heneka, Michael, Henry, Estelle, Henry, Margaux, Herbrink, Sylvia, Herzinger, Sascha, Hundt, Alexander, Jacoby, Nadine, Jónsdóttir, Sonja, Klucken, Jochen, Kofanova, Olga, Krüger, Rejko, Lambert, Pauline, Landoulsi, Zied, Lentz, Roseline, Longhino, Laura, Lopes, Ana Festas, Lorentz, Victoria, Marques, Tainá M., Marques, Guilherme, Martins Conde, Patricia, Patrick, M.A.Y., Mcintyre, Deborah, Mediouni, Chouaib, Meisch, Francoise, Mendibide, Alexia, Menster, Myriam, Minelli, Maura, Mittelbronn, Michel, Mtimet, Saïda, Munsch, Maeva, Nati, Romain, Nehrbass, Ulf, Nickels, Sarah, Nicolai, Beatrice, Jean-Paul, N.I.C.O.L.A.Y., Noor, Fozia, Gomes, Clarissa P.C., Pachchek, Sinthuja, Pauly, Claire, Pauly, Laure, Pavelka, Lukas, Perquin, Magali, Pexaras, Achilleas, Rauschenberger, Armin, Rawal, Rajesh, Reddy Bobbili, Dheeraj, Remark, Lucie, Richard, Ilsé, Roland, Olivia, Roomp, Kirsten, Rosales, Eduardo, Sapienza, Stefano, Satagopam, Venkata, Schmitz, Sabine, Schneider, Reinhard, Schwamborn, Jens, Severino, Raquel, Sharify, Amir, Soare, Ruxandra, Soboleva, Ekaterina, Sokolowska, Kate, Theresine, Maud, Thien, Hermann, Thiry, Elodie, Ting Jiin Loo, Rebecca, Trouet, Johanna, Tsurkalenko, Olena, Vaillant, Michel, Vega, Carlos, Vilas Boas, Liliana, Wilmes, Paul, Wollscheid-Lengeling, Evi, Zelimkhanov, Gelani, Loo, Rebecca Ting Jiin, Mangone, Graziella, Khoury, Fouad, Vidailhet, Marie, and Corvol, Jean-Christophe

Published
2024
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3. Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Author

Baldini, Federico, Hertel, Johannes, Sandt, Estelle, Thinnes, Cyrille C., Neuberger-Castillo, Lorieza, Pavelka, Lukas, Betsou, Fay, Krüger, Rejko, Thiele, Ines, Aguayo, Gloria, Allen, Dominic, Ammerlann, Wim, Aurich, Maike, Balling, Rudi, Banda, Peter, Beaumont, Katy, Becker, Regina, Berg, Daniela, Binck, Sylvia, Bisdorff, Alexandre, Bobbili, Dheeraj, Brockmann, Kathrin, Calmes, Jessica, Castillo, Lorieza, Diederich, Nico, Dondelinger, Rene, Esteves, Daniela, Ferrand, Jean-Yves, Fleming, Ronan, Gantenbein, Manon, Gasser, Thomas, Gawron, Piotr, Geffers, Lars, Giarmana, Virginie, Glaab, Enrico, Gomes, Clarissa P. C., Goncharenko, Nikolai, Graas, Jérôme, Graziano, Mariela, Groues, Valentin, Grünewald, Anne, Gu, Wei, Hammot, Gaël, Hanff, Anne-Marie, Hansen, Linda, Hansen, Maxime, Haraldsdöttir, Hulda, Heirendt, Laurent, Herbrink, Sylvia, Herzinger, Sascha, Heymann, Michael, Hiller, Karsten, Hipp, Geraldine, Hu, Michele, Huiart, Laetitia, Hundt, Alexander, Jacoby, Nadine, Jarosław, Jacek, Jaroz, Yohan, Kolber, Pierre, Kutzera, Joachim, Landoulsi, Zied, Larue, Catherine, Lentz, Roseline, Liepelt, Inga, Liszka, Robert, Longhino, Laura, Lorentz, Victoria, Mackay, Clare, Maetzler, Walter, Marcus, Katrin, Marques, Guilherme, Martens, Jan, Mathay, Conny, Matyjaszczyk, Piotr, May, Patrick, Meisch, Francoise, Menster, Myriam, Minelli, Maura, Mittelbronn, Michel, Mollenhauer, Brit, Mommaerts, Kathleen, Moreno, Carlos, Mühlschlegel, Friedrich, Nati, Romain, Nehrbass, Ulf, Nickels, Sarah, Nicolai, Beatrice, Nicolay, Jean-Paul, Noronha, Alberto, Oertel, Wolfgang, Ostaszewski, Marek, Pachchek, Sinthuja, Pauly, Claire, Perquin, Magali, Reiter, Dorothea, Rosety, Isabel, Rump, Kirsten, Satagopam, Venkata, Schlesser, Marc, Schmitz, Sabine, Schmitz, Susanne, Schneider, Reinhard, Schwamborn, Jens, Schweicher, Alexandra, Simons, Janine, Stute, Lara, Trefois, Christophe, Trezzi, Jean-Pierre, Vaillant, Michel, Vasco, Daniel, Vyas, Maharshi, Wade-Martins, Richard, and Wilmes, Paul

Subjects
Male, Systemic disease, Parkinson's disease, Physiology, Luxembourg, Plant Science, Disease, Transsulfuration pathway, Biology, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Structural Biology, RNA, Ribosomal, 16S, Pantothenic acid, medicine, Humans, Microbiome, lcsh:QH301-705.5, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, Aged, Metabolic modelling, 0303 health sciences, Gut microbiome, Methionine, Dopaminergic, Parkinson Disease, Cell Biology, Middle Aged, medicine.disease, 3. Good health, Gastrointestinal Microbiome, RNA, Bacterial, chemistry, Computational modelling, lcsh:Biology (General), Case-Control Studies, Parkinson’s disease, Female, General Agricultural and Biological Sciences, 030217 neurology & neurosurgery, Developmental Biology, Biotechnology, Research Article
Abstract

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.

Published
2020
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4. Etude des troubles du sommeil chez le patient parkinsonien: analyse rétrospective de 87 polysomnographies

Author

Jacoby, Nadine, Université Henri Poincaré - Nancy 1 (UHP), UHP - Université Henri Poincaré, and Patrick Tabouring

Subjects
Troubles du, [SDV]Life Sciences [q-bio], Sommeil, Parkinsoniens, Thèse d'exercice de médecine, Non disponible / Not available
Abstract

Methods : Retrospective review of medical records and polysomnography (PSG) in Parkinson disease or Parkinson syndrome patients. They were divided in 3 groups, according to the diagnosis given at the last follow-up visit : (1) Parkinson's disease (PD) without dementia (PDs; n =58), (2) PD plus dementia or Lewy body demantia (PDp; n = 15), (3) various PS syndromes (PSv, n = 14). This group included progressive supranuclear palsy (n = 5), multiple system atrophy (n = 6), and unclassified PS (n = 3). A subanalysis was performed on PDs patients who converted to PDp within the follow up period (n = 7). Another subanalysis was performed on PDs patients comparing disease duration. Results : the patients with PDp performed less well on all the sleep parameters, when compared with the other groups. However, the difference was only significiant for presence of sleep apnea syndrome (SAS) (p=0.01) and borderline significiant for sleep efficiency (0.05). PDp patients were also older (p=0.01) and had more visual hallucinations (VH)(p

Published
2008

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