Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome - 21/11/24

Doi : 10.14283/jpad.2024.19 
Matthias Klee 1, 9, , V.T.E. Aho 2, P. May 2, A. Heintz-Buschart 3, Z. Landoulsi 2, S.R. Jónsdóttir 2, 4, 5, C. Pauly 2, 4, 5, L. Pavelka 4, 5, 6, L. Delacour 2, A. Kaysen 2, R. Krüger 2, 4, 5, 6, 7, P. Wilmes 2, 7, 8, A.K. Leist 1, 8,

NCER-PD Consortium

Geeta Acharya 11, Gloria Aguayo 11, Myriam Alexandre 11, Muhammad Ali 10, Wim Ammerlann 11, Giuseppe Arena 10, Michele Bassis 10, Roxane Batutu 12, Katy Beaumont 11, Sibylle Béchet 12, Guy Berchem 12, Alexandre Bisdorff 14, Ibrahim Boussaad 10, David Bouvier 13, Lorieza Castillo 11, Gessica Contesotto 11, Nancy De Bremaeker 12, Brian Dewitt 11, Nico Diederich 12, Rene Dondelinger 14, Nancy E Ramia 10, Angelo Ferrari 11, Katrin Frauenknecht 13, Joëlle Fritz 11, Carlos Gamio 11, Manon Gantenbein 11, Piotr Gawron 10, Laura Georges 11, Soumyabrata Ghosh 10, Marijus Giraitis 11, 12, Enrico Glaab 10, Martine Goergen 12, Elisa Gómez De Lope 10, Jérôme Graas 11, Mariella Graziano 16, Valentin Groues 10, Anne Grünewald 10, Gaël Hammot 11, Anne-Marie Hanff 11, 19, 20, Linda Hansen 12, Michael Heneka 10, Estelle Henry 11, Margaux Henry 11, Sylvia Herbrink 12, Sascha Herzinger 10, Alexander Hundt 11, Nadine Jacoby 17, Sonja Jónsdóttir 11, 12, Jochen Klucken 10, 11, 12, Olga Kofanova 11, Rejko Krüger 10, 11, 12, Pauline Lambert 11, Zied Landoulsi 10, Roseline Lentz 15, Laura Longhino 12, Ana Festas Lopes 11, Victoria Lorentz 11, Tainá M. Marques 11, Guilherme Marques 11, Patricia Martins Conde 10, Patrick May 10, Deborah Mcintyre 11, Chouaib Mediouni 11, Francoise Meisch 10, Alexia Mendibide 11, Myriam Menster 11, Maura Minelli 11, Michel Mittelbronn 10, 11, 13, 19, 21, 22, Saïda Mtimet 11, Maeva Munsch 11, Romain Nati 12, Ulf Nehrbass 11, Sarah Nickels 10, Beatrice Nicolai 12, Jean-Paul Nicolay 18, Fozia Noor 11, Clarissa P.C. Gomes 10, Sinthuja Pachchek 10, Claire Pauly 11, 12, Laure Pauly 11, Lukas Pavelka 11, 12, Magali Perquin 11, Achilleas Pexaras 11, Armin Rauschenberger 10, Rajesh Rawal 10, Dheeraj Reddy Bobbili 10, Lucie Remark 11, Ilsé Richard 11, Olivia Roland 11, Kirsten Roomp 10, Eduardo Rosales 11, Stefano Sapienza 10, Venkata Satagopam 10, Sabine Schmitz 10, Reinhard Schneider 10, Jens Schwamborn 10, Raquel Severino 11, Amir Sharify 11, Ruxandra Soare 10, Ekaterina Soboleva 10, 12, Kate Sokolowska 11, Maud Theresine 11, Hermann Thien 11, Elodie Thiry 12, Rebecca Ting Jiin Loo 10, Johanna Trouet 11, Olena Tsurkalenko 11, Michel Vaillant 11, Carlos Vega 11, Liliana Vilas Boas 12, Paul Wilmes 10, Evi Wollscheid-Lengeling 10, Gelani Zelimkhanov 11, 12
1 Institute for Research on Socio-Economic Inequality (IRSEI), Department of Social Sciences, University of Luxembourg, 2, avenue de l’Université, L-4365, Esch-sur-Alzette, Luxembourg 
2 Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 7, avenue des Hauts-Fourneaux, L-4362, Esch-sur-Alzette, Luxembourg 
3 Swammerdam Institute of Life Sciences at University of Amsterdam, Sciencepark 904, 1098 XH, Amsterdam, the Netherlands 
4 Parkinson’s Research Clinic, Centre Hospitalier de Luxembourg, 4, rue Ernest Barblé, L-1210, Luxembourg (Belair), Luxembourg 
5 Transversal Translational Medicine, Luxembourg Institute of Health, 1A-B, rue Thomas Edison, L-1445, Strassen, Luxembourg 
6 Department of Neurology, Centre Hospitalier de Luxembourg, 4, rue Ernest Barblé, L-1210, Luxembourg (Belair), Luxembourg 
7 Department of Life Sciences and Medicine, Faculty of Science, Technology and Medicine, University of Luxembourg, 7, avenue des Hauts-Fourneaux, L-4362, Esch-sur-Alzette, Luxembourg 
8 Institute for Advanced Studies, University of Luxembourg, 2, avenue de l’Université, L-4365, Esch-sur-Alzette, Luxembourg 
9 Institute for Research on Socio-Economic Inequality, Department of Social Sciences, University of Luxembourg, 11, Porte des Sciences, L-4366, Esch-sur-Alzett, Luxembourg 
10 Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg 
11 Luxembourg Institute of Health, Strassen, Luxembourg 
12 Centre Hospitalier de Luxembourg, Strassen, Luxembourg 
13 Laboratoire National de Santé, Dudelange, Luxembourg 
14 Centre Hospitalier Emile Mayrisch, Esch-sur-Alzette, Luxembourg 
15 Parkinson Luxembourg Association, Leudelange, Luxembourg 
16 Association of Physiotherapists in Parkinson’s Disease Europe, Esch-sur-Alzette, Luxembourg, Luxembourg 
17 Private practice, Ettelbruck, Luxembourg 
18 Private practice, Luxembourg, Luxembourg 
19 Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg 
20 Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre+, Maastricht, the Netherlands 
21 Luxembourg Center of Neuropathology, Dudelange, Luxembourg 
22 Department of Life Sciences and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg 

a matthias.klee@uni.lu matthias.klee@uni.lu

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Abstract

Background

With differences apparent in the gut microbiome in mild cognitive impairment (MCI) and dementia, and risk factors of dementia linked to alterations of the gut microbiome, the question remains if gut microbiome characteristics may mediate associations of education with MCI.

Objectives

We sought to examine potential mediation of the association of education and MCI by gut microbiome diversity or composition.

Design

Cross-sectional study.

Setting

Luxembourg, the Greater Region (surrounding areas in Belgium, France, Germany).

Participants

Control participants of the Luxembourg Parkinson’s Study.

Measurements

Gut microbiome composition, ascertained with 16S rRNA gene amplicon sequencing. Differential abundance, assessed across education groups (0–10, 11–16, 16+ years of education). Alpha diversity (Chao1, Shannon and inverse Simpson indices). Mediation analysis with effect decomposition was conducted with education as exposure, MCI as outcome and gut microbiome metrics as mediators.

Results

After exclusion of participants below 50, or with missing data, n=258 participants (n=58 MCI) were included (M [SD] Age=64.6 [8.3] years). Higher education (16+ years) was associated with MCI (Odds ratio natural direct effect=0.35 [95% CI 0.15–0.81]. Streptococcus and Lachnospiraceae-UCG-001 genera were more abundant in higher education.

Conclusions

Education is associated with gut microbiome composition and MCI risk without clear evidence for mediation. However, our results suggest signatures of the gut microbiome that have been identified previously in AD and MCI to be reflected in lower education and suggest education as important covariate in microbiome studies.

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Key words : Dementia, mild cognitive impairment, gut microbiome, education, mediation


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 An erratum to this article is available online at jpad.2024.53.
Consent Statement: All participants provided written informed consent.


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