Jonathan Roux1, Denis Bard2, Estelle Le Pabic3, Claire Segala4, Jacques Reis5, Jean-Claude Ongagna6, Jérôme de Sèze7, Emmanuelle Leray8. 1. METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France. Electronic address: jonathan.roux@ehesp.fr. 2. METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France. Electronic address: denis.bard@ehesp.fr. 3. METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France. Electronic address: Estelle.LE.PABIC@chu-rennes.fr. 4. SEPIA-Santé, 31 Rue de Pontivy, 56150 Baud, France. Electronic address: csegala_sepia@orange.fr. 5. Clinique Neurologique, CHU of Strasbourg, 1 Avenue Molière, 67200 Strasbourg, France. Electronic address: jacques.reis@wanadoo.fr. 6. Department of Neurology, Strasbourg University, INSERM CIC 1434, CHU of Strasbourg, 1 place de l'Hôpital, 67091 Strasbourg cedex, France. Electronic address: jean-claude.ongagna@chru-strasbourg.fr. 7. Department of Neurology, Strasbourg University, INSERM CIC 1434, CHU of Strasbourg, 1 place de l'Hôpital, 67091 Strasbourg cedex, France. Electronic address: jerome.de.seze@chru-strasbourg.fr. 8. METIS Department, EA 7449 REPERES, EHESP French School of Public Health, Sorbonne Paris Cité, 15 avenue du Professeur Léon-Bernard - CS 74312, 35043 Rennes, France; INSERM CIC-P 1414, CHU of Rennes, 2 Rue Henri le Guilloux, 35000 Rennes, France. Electronic address: emmanuelle.leray@ehesp.fr.
Abstract
BACKGROUND: Seasonal variation of relapses in multiple sclerosis (MS) suggests that season-dependent factors, such as ambient air pollution, may trigger them. However, only few studies have considered possible role of air pollutants as relapse's risk factor. OBJECTIVE: We investigated the effect of particulate matter of aerodynamic diameter smaller than 10µm (PM10) on MS relapses. METHODS: In total, 536 relapsing MS patients from Strasbourg city (France) were included, accounting for 2052 relapses over 2000-2009 period. A case-crossover design was used with cases defined as the days of relapse and controls being selected in the same patient at plus and minus 35 days. Different lags from 0 to 30 days were considered. Conditional logistic regressions, adjusted on meteorological parameters, school and public holidays, were used and exposure was considered first as a quantitative variable and second, as a binary variable. RESULTS: The natural logarithm of the average PM10 concentration lagged from 1 to 3 days before relapse onset was significantly associated with relapse risk (OR =1.40 [95% confidence interval 1.08-1.81]) in cold season. Consistent results were observed when considering PM10 as a binary variable, even if not significant. CONCLUSION: With an appropriate study design and robust ascertainment of neurological events and exposure, the present study highlights the effect of PM10 on the risk of relapse in MS patients, probably through oxidative stress mechanisms.
BACKGROUND: Seasonal variation of relapses in multiple sclerosis (MS) suggests that season-dependent factors, such as ambient air pollution, may trigger them. However, only few studies have considered possible role of air pollutants as relapse's risk factor. OBJECTIVE: We investigated the effect of particulate matter of aerodynamic diameter smaller than 10µm (PM10) on MS relapses. METHODS: In total, 536 relapsing MSpatients from Strasbourg city (France) were included, accounting for 2052 relapses over 2000-2009 period. A case-crossover design was used with cases defined as the days of relapse and controls being selected in the same patient at plus and minus 35 days. Different lags from 0 to 30 days were considered. Conditional logistic regressions, adjusted on meteorological parameters, school and public holidays, were used and exposure was considered first as a quantitative variable and second, as a binary variable. RESULTS: The natural logarithm of the average PM10 concentration lagged from 1 to 3 days before relapse onset was significantly associated with relapse risk (OR =1.40 [95% confidence interval 1.08-1.81]) in cold season. Consistent results were observed when considering PM10 as a binary variable, even if not significant. CONCLUSION: With an appropriate study design and robust ascertainment of neurological events and exposure, the present study highlights the effect of PM10 on the risk of relapse in MSpatients, probably through oxidative stress mechanisms.
Authors: Maxime Jeanjean; Marie-Abele Bind; Jonathan Roux; Jean-Claude Ongagna; Jérôme de Sèze; Denis Bard; Emmanuelle Leray Journal: Environ Res Date: 2018-02-06 Impact factor: 6.498
Authors: Chelsea A O'Driscoll; Leah A Owens; Erica J Hoffmann; Madeline E Gallo; Amin Afrazi; Mei Han; John H Fechner; James J Schauer; Christopher A Bradfield; Joshua D Mezrich Journal: Environ Res Date: 2018-10-01 Impact factor: 6.498
Authors: Emmanuelle Waubant; Robyn Lucas; Ellen Mowry; Jennifer Graves; Tomas Olsson; Lars Alfredsson; Annette Langer-Gould Journal: Ann Clin Transl Neurol Date: 2019-08-07 Impact factor: 4.511
Authors: Chelsea A O'Driscoll; Leah A Owens; Madeline E Gallo; Erica J Hoffmann; Amin Afrazi; Mei Han; John H Fechner; James J Schauer; Christopher A Bradfield; Joshua D Mezrich Journal: Part Fibre Toxicol Date: 2018-08-24 Impact factor: 9.400