Air pollution by particulate matter PM10 may trigger multiple sclerosis relapses

Roux, Jonathan; Bard, Denis; Pabic, Estelle Le; Ségala, Claire; Reis, Jacques; Ongagna, Jean-Claude; Sèze, Jérôme De; Leray, Emmanuelle

doi:10.1016/j.envres.2017.03.049

Cited by 66 publications

(52 citation statements)

References 31 publications

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“…We confirmed our previous results (Roux et al, 2017) on PM 10 -associated risk using a more sound statistical approach. In particular, our model-adjustments were more precise, i.e ., we consider all lagged (including day 0–3 instead of 1–3) of daily concentrations and daily temperature instead of the single day of relapse, and therefore took into account the correlation between the lag exposures.…”

Section: Discussionsupporting

confidence: 91%

“…We estimated odds ratios corresponding to an interquartile range (IQR) increment of concentration (μg/m3) instead of a one-unit increment of ln PM 10 . These differences in methodology might explain the variation of magnitude observed between both studies (present analysis OR = 1.06 [1.02–1.11]: previous OR = 1.40 [1.08–1.81]) (Roux et al, 2017). We investigated the relation between air pollutants and the occurrence of relapses on each day of a one-week period before onset, which is supposed to be the maximum air pollution effect (Angelici et al, 2016).…”

Section: Discussionmentioning

confidence: 73%

“…Relapses’ incidence varies across seasons (Damasceno et al, 2012; Fonseca et al, 2009; Handel et al, 2011; Harding et al, 2017; Jin et al, 2000; Ogawa et al, 2004; Salvi et al, 2010; Spelman et al, 2014; Tremlett et al, 2008), suggesting a possible role of season-dependent factors such as meteorological variables (Watad et al, 2016) and ambient air pollution (Angelici et al, 2016; Oikonen et al, 2003; Roux et al, 2017). …”

Section: Introductionmentioning

confidence: 99%

“…Recently, Chen et al (2017) observed, using a Cox proportional hazards model adjusted for individual features and latitude, that proximity living to heavy traffic was not associated with a higher incidence of MS (Chen et al, 2017). Concerning relapses, some studies investigated the link between air pollution and the odds of relapses triggering (Tremlett et al, 2008; Oikonen et al, 2003; Roux et al, 2017; Mehrpour et al, 2013; Vojinović et al, 2015), MS-related hospitalization (Angelici et al, 2016) and MS inflammatory activity (Bergamaschi et al, 2017). Associations were observed in several studies between PM 10 exposure and MS relapse risk (Angelici et al, 2016; Oikonen et al, 2003; Roux et al, 2017; Bergamaschi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Concerning relapses, some studies investigated the link between air pollution and the odds of relapses triggering (Tremlett et al, 2008; Oikonen et al, 2003; Roux et al, 2017; Mehrpour et al, 2013; Vojinović et al, 2015), MS-related hospitalization (Angelici et al, 2016) and MS inflammatory activity (Bergamaschi et al, 2017). Associations were observed in several studies between PM 10 exposure and MS relapse risk (Angelici et al, 2016; Oikonen et al, 2003; Roux et al, 2017; Bergamaschi et al, 2017). Among studies that examined possible influence of other air pollutants such as CO, O 3, SO 2 and NOx (Tremlett et al, 2008; Oikonen et al, 2003; Mehrpour et al, 2013), one study reported exposure to acidic gas (NO 2, NO and SO 2 ) to be associated with risk of relapse (Oikonen et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

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Ozone, NO2 and PM10 are associated with the occurrence of multiple sclerosis relapses. Evidence from seasonal multi-pollutant analyses

Jeanjean

Bind

Roux

et al. 2018

Environmental Research

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Background Triggers of multiple sclerosis (MS) relapses are essentially unknown. PM10 exposure has recently been associated with an increased risk of relapses. Objectives We further explore the short-term associations between PM10, NO2, benzene (C6H6), O3, and CO exposures, and the odds of MS relapses’ occurrence. Methods Using a case-crossover design, we studied 424 MS patients living in the Strasbourg area, France between 2000 and 2009 (1783 relapses in total). Control days were chosen to be±35 days relative to the case (relapse) day. Exposure was modeled through ADMS-Urban software at the census block scale. We consider single-pollutant and multi-pollutant conditional logistic regression models coupled with a distributed-lag linear structure, stratified by season (“hot” vs. “cold”), and adjusted for meteorological parameters, pollen count, influenza-like epidemics, and holidays. Results The single-pollutant analyses indicated: 1) significant associations between MS relapse incidence and exposures to NO2, PM10, and O3, and 2) seasonality in these associations. For instance, an interquartile range increase in NO2 (lags 0–3) and PM10 exposure were associated with MS relapse incidence (OR = 1.08; 95%CI: [1.03–1.14] and OR = 1.06; 95%CI: [1.01–1.11], respectively) during the “cold” season (i.e., October-March). We also observed an association with O3 and MS relapse incidence during “hot” season (OR = 1.16; 95%CI: [1.07–1.25]). C6H6 and CO were not significantly related to MS relapse incidence. However, using multi-pollutant models, only O3 remained significantly associated with the odds of relapse triggering during “hot” season. Conclusion We observed significant single-pollution associations between the occurrence of MS relapses and exposures to NO2, O3 and PM10, only O3 remained significantly associated with occurrence of MS relapses in the multi-pollutant model.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Ozone, NO2 and PM10 are associated with the occurrence of multiple sclerosis relapses. Evidence from seasonal multi-pollutant analyses

Jeanjean

Bind

Roux

et al. 2018

Environmental Research

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Environmental and genetic risk factors for MS: an integrated review

Waubant

Lucas

Mowry

et al. 2019

Ann Clin Transl Neurol

223

184

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Recent findings have provided a molecular basis for the combined contributions of multifaceted risk factors for the onset of multiple sclerosis (MS). MS appears to start as a chronic dysregulation of immune homeostasis resulting from complex interactions between genetic predispositions, infectious exposures, and factors that lead to pro‐inflammatory states, including smoking, obesity, and low sun exposure. This is supported by the discovery of gene–environment (GxE) interactions and epigenetic alterations triggered by environmental exposures in individuals with particular genetic make‐ups. It is notable that several of these pro‐inflammatory factors have not emerged as strong prognostic indicators. Biological processes at play during the relapsing phase of the disease may result from initial inflammatory‐mediated injury, while risk factors for the later phase of MS, which is weighted toward neurodegeneration, are not yet well defined. This integrated review of current evidence guides recommendations for clinical practice and highlights research gaps.

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Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship

Sommer

Leray

Lee

et al. 2020

Statistics in Medicine

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When addressing environmental health‐related questions, most often, only observational data are collected for ethical or practical reasons. However, the lack of randomized exposure often prevents the comparison of similar groups of exposed and unexposed units. This design barrier leads the environmental epidemiology field to mainly estimate associations between environmental exposures and health outcomes. A recently developed causal inference pipeline was developed to guide researchers interested in estimating the effects of plausible hypothetical interventions for policy recommendations. This article illustrates how this multistaged pipeline can help environmental epidemiologists reconstruct and analyze hypothetical randomized experiments by investigating whether an air pollution reduction intervention decreases the risk of multiple sclerosis relapses in Alsace region, France. The epidemiology literature reports conflicted findings on the relationship between air pollution and multiple sclerosis. Some studies found significant associations, whereas others did not. Two case‐crossover studies reported significant associations between the risk of multiple sclerosis relapses and the exposure to air pollutants in the Alsace region. We use the same study population as these epidemiological studies to illustrate how appealing this causal inference approach is to estimate the effects of hypothetical, but plausible, environmental interventions.

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Air pollution by particulate matter PM10 may trigger multiple sclerosis relapses

Cited by 66 publications

References 31 publications

Ozone, NO2 and PM10 are associated with the occurrence of multiple sclerosis relapses. Evidence from seasonal multi-pollutant analyses

Ozone, NO2 and PM10 are associated with the occurrence of multiple sclerosis relapses. Evidence from seasonal multi-pollutant analyses

Environmental and genetic risk factors for MS: an integrated review

Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution‐multiple sclerosis relapses relationship

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