75 research outputs found

    Exposure to Phthalates and Phenols during Pregnancy and Offspring Size at Birth

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    Background: Data concerning the effects of prenatal exposures to phthalates and phenols on fetal growth are limited in humans. Previous findings suggest possible effects of some phenols on male birth weight

    Socioeconomic inequalities in dementia risk among a French population-based cohort: quantifying the role of cardiovascular health and vascular events

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    This study aimed to investigate the role of cardiovascular health (CVH) and vascular events as potential contributors to socioeconomic inequalities in dementia using causal mediation analyses. We used data from the Three-City Cohort, a French population-based study with 12 years of follow-up, with active search of dementia cases and validated diagnosis. Individual socioeconomic status was assessed using education, occupation and income. A CVH score as defined by the American Heart Association and incident vascular events were considered separately as mediators. We performed multi-level Cox proportional and Aalen additive hazard regression models to estimate the total effects of socioeconomic status on dementia risk. To estimate natural direct and indirect effects through CVH and vascular events, we applied two distinct weighting methods to quantify the role of CVH and vascular events: Inverse Odds Ratio Weighting (IORW) and Marginal Structural Models (MSM) respectively. Among 5581 participants, the risk of dementia was higher among participants with primary education (HR 1.60, 95%CI 1.44-1.78), blue-collar workers (HR 1.62, 95%CI 1.43-1.84) and with lower income (HR 1.23, 95%CI 1.09-1.29). Using additive models, 571 (95% CI 288-782) and 634 (95% CI 246-1020) additional cases of dementia per 100 000 person and year were estimated for primary education and blue-collar occupation, respectively. Using IORW, the CVH score mediate the relationship between education or income, and dementia (proportion mediated 17% and 26%, respectively). Yet, considering vascular events as mediator, MSM generated indirect effects that were smaller and more imprecise. Socioeconomic inequalities in dementia risk were observed but marginally explained by CVH or vascular events mediators

    Spatial distribution of cerebral white matter lesions predicts progression to mild cognitive impairment and dementia

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    CONTEXT White matter lesions (WML) increase the risk of dementia. The relevance of WML location is less clear. We sought to determine whether a particular WML profile, based on the density and location of lesions, could be associated with an increased risk of mild cognitive impairment (MCI) or dementia over the following 7 years. METHODS In 426 healthy subjects from a cohort of community-dwelling people aged 65 years and over (ESPRIT Project), standardized cognitive and neurological evaluations were repeated after 2, 4 and 7 years. Patterns of WML were computed with a supervised data mining approach (decision trees) using the regional WML volumes (frontal, parietal, temporal, and occipital regions) and the total WML volume estimated at baseline. Cox proportional hazard models were then constructed to study the association between WML patterns and risk of MCI/dementia. RESULTS Total WML volume and percentage of WML in the temporal region proved to be the best predictors of progression to MCI and dementia. Specifically, severe total WML load with a high proportion of lesions in the temporal region was significantly associated with the risk of developing MCI or dementia. CONCLUSIONS Above a certain threshold of damage, a pattern of WML clustering in the temporal region identifies individuals at increased risk of MCI or dementia. As this WML pattern is observed before the onset of clinical symptoms, it may facilitate the detection of patients at risk of MCI/dementia.The ESPRIT Project is financed by the regional government of Languedoc-Roussillon (http://www.laregion.fr), the Agence Nationale de la Recherche (ANR: http://www.agence-nationale-recherche.fr) and an unconditional grant from Novartis (http://www.novartis.fr). This study is also supported by France Alzheimer (http://www.francealzheimer.org/)

    Exposure to ambient air pollution and cognitive decline: Results of the prospective Three-City cohort study

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    BACKGROUND: Growing epidemiological evidence suggests an adverse relationship between exposure to air pollutants and cognitive decline. However, there is still some heterogeneity in the findings, with inconsistent results depending on the pollutant and the cognitive domain considered. We wanted to determine whether air pollution was associated with global and domain-specific cognitive decline. METHODS: This analysis used data from the French Three-City prospective cohort (participants aged 65 and older at recruitment and followed for up to 12 years). A battery of cognitive tests was administered at baseline and every 2 years, to assess global cognition (Mini Mental State Examination, MMSE), visual memory (Benton Visual Retention Test), semantic fluency (Isaacs Set Test) and executive functions (Trail Making Tests A and B). Exposure to fine particulate matter (PM(2.5)), nitrogen dioxide (NO(2)) and black carbon (BC) at the participants' residential address during the 5 years before the baseline visit was estimated with land use regression models. Linear mixed models and latent process mixed models were used to assess the association of each pollutant with global and domain-specific cognitive decline. RESULTS: The participants' (n = 6380) median age was 73.4 years (IQR: 8.0), and 61.5% were women. At baseline, the median MMSE score was 28 (IQR: 3). Global cognition decline, assessed with the MMSE, was slightly accelerated among participants with higher PM(2.5) exposure: one IQR increment in PM(2.5) (1.5 µg/m(3)) was associated with accelerated decline (β: -0.0060 [-0.0112; -0.0007] standard unit per year). Other associations were inconsistent in direction, and of small magnitude. CONCLUSION: In this large population-based cohort, higher PM(2.5) exposure was associated with accelerated global cognition decline. We did not detect any significant association for the specific cognitive domains or the other pollutants. Evidence concerning PM(2.5) effects on cognition is growing, but more research is needed on other ambient air pollutants

    Modulators of the relationship between cerebral white matter hyperintensities and cognitive impairment and dementia

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    Les hypersignaux de la substance blanche (HSB), visualisables par IRM, ont été identifiés comme des facteurs intermédiaires potentiels entre le risque vasculaire et la survenue de troubles cognitifs. Cependant, la relation entre les HSB et la cognition n'est pas encore clairement comprise. L'objectif de ce travail était d'identifier des facteurs susceptibles de moduler les effets des HSB sur la cognition afin de comprendre pourquoi, pour une charge identique en hypersignaux, certains sujets développent des troubles cognitifs quand d'autres ne manifestent aucun symptôme. Six cent soixante sujets sains issus de la population générale et âgés de 65 à 80 ans (Etude ESPRIT) ont été suivis sur une période de 10 ans après avoir passé une IRM cérébrale à l'inclusion. Dans cet échantillon, nous avons montré que l'association entre HSB et troubles cognitifs s'amenuisait avec l'âge, s'observait seulement chez les individus peu éduqués, et chez les sujets avec un profil spécifique de distribution spatiale des HSB, défini par un volume total élevé et une concentration des HSB dans le lobe temporal. Ces résultats suggèrent qu'il existe une population particulière (plus jeune, moins éduquée et avec une répartition des HSB spécifique) chez qui les effets des HSB sur la cognition semblent plus marqués et / ou sont plus facilement détectables. Dans les futures études utilisant les HSB comme marqueur du risque vasculaire dans la cognition, il pourrait être pertinent de cibler plus spécifiquement ce type de population.Cerebral white matter hyperintensities (WMH), detected in vivo with MRI, are commonly used to assess cerebrovascular burden in cognitive impairment. However, the association between WMH and cognition is not consistent the across literature. In our longitudinal population-based study of 660 subjects aged 65 years and over with a brain MRI at baseline (ESPRIT Study), we aimed to identify factors that may modulate the effects of WMH on cognition. During the 10-year follow-up period, we observed that the association between WMH and cognitive impairment became weaker with advancing age, was only observed when the relationship was examined in low-educated individuals, and in patients with a specific spatial distribution of WMH, defined by a severe total WMH load with a high proportion of hyperintensities in the temporal lobe. These results suggest that there is a particular population (younger, less educated and with a specific distribution of WMH) in which the effects of WMH are more severe and/ or more easily detectable. In future studies using WMH as a marker of vascular burden in cognition, this particular population should be specifically considered

    Cerebral white matter hyperintensities in the prediction of cognitive decline and incident dementia.

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    International audienceAbstract Cerebral white matter hyperintensities (WMH), detected in vivo with magnetic resonance imaging (MRI), are commonly used to assess cerebrovascular burden in cognitive impairment. However, the association between WMH and cognition is not consistent across the literature. The present review examines evidence from published longitudinal studies. We reviewed the PubMed data base from January 1990 to March 2013 and included studies investigating the association of WMH with (1) the risk of dementia in the general population, (2) the risk of conversion to dementia in the mild cognitive impairment (MCI) population, and (3) cognitive decline in the general population. WMH were associated with all types of dementia in the general population, but not in MCI patients. Results are discrepant for global decline. WMH appear to be early predictors of the risk of dementia, but this association appears to be modulated by cognitive reserve, age and the spatial distribution of lesions. There are, however, some limits in the use of WMH as a marker of vascular burden. In addition to their ischaemic origin, WMH may be the result of co-occurring morbidity. Further research is needed to elucidate to what extent WMH actually reflect vascular risk to evaluate the likely efficacy of interventions specifically targeting WMH reduction

    White Matter Hyperintensities as Early and Independent Predictors of Alzheimer's Disease Risk

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    International audienceThere is growing evidence that vascular health plays a significant role in the etiology of clinical Alzheimer's disease (AD). Understanding the timing of vascular changes in relation to progression from cognitive impairment to AD has become of increasing importance, being both possible pre-clinical markers and potentially modifiable risk factors. White matter hyperintensities (WMH) detected in vivo with magnetic resonance imaging, are commonly used to assess cerebrovascular burden in cognitive impairment and appear to be associated with an increased risk of cognitive decline due to many causes. The present review examines specifically the association between WMH and AD and its related biomarkers. Overall, current findings across the literature suggest that WMH may predict AD at least a decade before the clinical stage of the disease, independently of biomarkers of AD pathology, thus indicating that vascular factors may constitute important targets for pre-clinical detection and intervention

    Pesticides used in Europe and autism spectrum disorder risk: can novel exposure hypotheses be formulated beyond organophosphates, organochlorines, pyrethroids and carbamates? - A systematic review

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    International audienceBackground: A growing body of evidences suggests an association between early exposure to organophosphates (OPs), organochlorines (OCs), pyrethroids or carbamates and autism spectrum disorder (ASD). However, there are limited data about the other pesticide groups, especially in Europe. Objectives: Based on a systematic review, we aimed to assess the influence of neuro- and thyrotoxic agricultural and domestic pesticides (other than OPs, OCs, pyrethroids and carbamates) authorized in Europe on risk of ASD in children or ASD behavioral phenotypes in rodents. Methods: Pesticides were initially identified in the Hazardous Substances Data Bank. 20 currently used (10 pesticide groups) were retained based on the higher exposure potential. Epidemiological (children) and in vivo (rodents) studies were identified through PubMed, Web of Science and TOXLINE, without restriction of publication date or country (last update: November 2019). The risk of bias and level of evidence were also assessed. This systematic review is registered at the International Prospective Register of Systematic Reviews (PROSPERO, registration number CRD42019145384). Results: In total, two epidemiological and 15 in vivo studies were retained, focusing on the azole, neonicotinoid, phenylpyrazole and phosphonoglycine pesticide groups. No study was conducted in Europe. Glyphosate, imidacloprid, clothianidin, myclobutanil, acetamiprid, tebuconazole, thiabendazole and fipronil, globally reported an association with an increased risk of ASD in children and/or ASD behavioral phenotypes in rodents. In children, glyphosate and myclobutanil showed a “moderate level of evidence” in their association with ASD, whereas imidacloprid showed an “inadequate level of evidence”. In rodents, clothianidin, imidacloprid and glyphosate showed a “high level of evidence” in their association with altered behavioral, learning and memory skills. Conclusion: In the framework of environmental risk factors of ASD, novel hypotheses can be formulated about early exposure to eight pesticides. Glyphosate presented the most salient level of evidence. Given their neuro- and thyrotoxic properties, additional studies are needed for the 12 other pesticides not yet studied as potential ASD risk factors according to our inclusion criteria
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