Dataset Information

Associations of Plasma Fatty Acid Patterns during Pregnancy with Respiratory and Allergy Outcomes at School Age.

ABSTRACT: Fatty acids might play a role in asthma and allergy development as they can modulate immune responses. We examined among 4260 mother-child pairs participating in a population-based cohort the associations of maternal plasma fatty acid patterns during pregnancy with a child's respiratory and allergy outcomes at school-age. In mid-pregnancy, 22 individual fatty acids were measured from maternal blood. Three patterns were previously identified by principal component analysis: A 'high n-6 polyunsaturated fatty acid (PUFA)', a 'monounsaturated and saturated fatty acid', and a 'high n-3 PUFA' pattern. At the age of 10 years, a child's lung function was assessed by spirometry, current asthma and physician-diagnosed inhalant allergy by questionnaire, and inhalant allergic sensitization by skin prick tests. A higher 'high n-6 PUFA' pattern was associated with a higher forced expiratory volume in 1 s/forced vital capacity and forced expiratory flow after exhaling 75% of forced vital capacity (Z-score difference (95% CI) 0.04 (0, 0.07) and 0.04 (0.01, 0.07), respectively, per SD increase in the fatty acid pattern). We observed no associations of maternal fatty acid patterns with a child's asthma or allergy outcomes. Our results showed limited associations of maternal patterns of high n-6 PUFA concentrations in pregnancy with a better lung function in school-aged children.

SUBMITTER: Mensink-Bout SM

PROVIDER: S-EPMC7601105 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Associations of Plasma Fatty Acid Patterns during Pregnancy with Respiratory and Allergy Outcomes at School Age.

Mensink-Bout Sara M SM Voortman Trudy T Dervishaj Marsela M Reiss Irwin K M IKM De Jongste Johan C JC Jaddoe Vincent W V VWV Duijts Liesbeth L

Nutrients 20201007 10

Fatty acids might play a role in asthma and allergy development as they can modulate immune responses. We examined among 4260 mother-child pairs participating in a population-based cohort the associations of maternal plasma fatty acid patterns during pregnancy with a child's respiratory and allergy outcomes at school-age. In mid-pregnancy, 22 individual fatty acids were measured from maternal blood. Three patterns were previously identified by principal component analysis: A 'high n-6 polyunsatu ...[more]

PMID: 33036333

Similar Datasets

Project description:It has been suggested that the etiology of respiratory allergies (RA) can be partly explained by DNA methylation changes caused by adverse environmental and lifestyle factors experienced early in life. Longitudinal, prospective studies can aid in the unravelment of the epigenetic mechanisms involved in the disease development. High compliance rates can be expected in these studies when data is collected using non-invasive and convenient procedures. Saliva is an attractive biofluid to analyze changes in DNA methylation patterns. We investigated in a pilot study the differential methylation in saliva of RA (n=5) compared to healthy controls (n=5) using the Illumina Methylation 450K BeadChip platform. We evaluated the results against the results obtained in mononuclear blood cells from the same individuals. Differences in methylation patterns from saliva and mononuclear blood cells were clearly distinguishable (PAdj<0.001 and |ÎÎ²|>0.2), though the methylation status of about 96% of the cg-sites was comparable between peripheral blood mononuclear cells and saliva. When comparing RA cases with healthy controls, the number of differentially methylated sites (DMS) in saliva and blood were 485 and 437, respectively, of which 216 were in common. The methylation levels of these sites were significantly correlated between blood and saliva. Pyrosequencing analysis of 3 selected DMS in the PM20D1, STK32C, and FGFR2 genes, confirmed the absolute levels of methylation as well as the differences between cases and controls as observed from the array data. Our findings show that saliva can be used for genome-wide methylation analysis and that it is possible to identify DMS to distinguish RA cases from healthy controls. The results were replicated in blood cells of the same individuals and confirmed by selected pyrosequencing analysis. This study provides a proof-of-concept that the analysis of DNA methylation profiles in saliva may offer distinct opportunities for molecular epidemiology studies of RA. Bisulphite converted DNA from the 10 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip

Project description:It has been suggested that the etiology of respiratory allergies (RA) can be partly explained by DNA methylation changes caused by adverse environmental and lifestyle factors experienced early in life. Longitudinal, prospective studies can aid in the unravelment of the epigenetic mechanisms involved in the disease development. High compliance rates can be expected in these studies when data is collected using non-invasive and convenient procedures. Saliva is an attractive biofluid to analyze changes in DNA methylation patterns. We investigated in a pilot study the differential methylation in saliva of RA (n=5) compared to healthy controls (n=5) using the Illumina Methylation 450K BeadChip platform. We evaluated the results against the results obtained in mononuclear blood cells from the same individuals. Differences in methylation patterns from saliva and mononuclear blood cells were clearly distinguishable (PAdj<0.001 and |Δβ|>0.2), though the methylation status of about 96% of the cg-sites was comparable between peripheral blood mononuclear cells and saliva. When comparing RA cases with healthy controls, the number of differentially methylated sites (DMS) in saliva and blood were 485 and 437, respectively, of which 216 were in common. The methylation levels of these sites were significantly correlated between blood and saliva. Pyrosequencing analysis of 3 selected DMS in the PM20D1, STK32C, and FGFR2 genes, confirmed the absolute levels of methylation as well as the differences between cases and controls as observed from the array data. Our findings show that saliva can be used for genome-wide methylation analysis and that it is possible to identify DMS to distinguish RA cases from healthy controls. The results were replicated in blood cells of the same individuals and confirmed by selected pyrosequencing analysis. This study provides a proof-of-concept that the analysis of DNA methylation profiles in saliva may offer distinct opportunities for molecular epidemiology studies of RA.

Dataset Information

Associations of Plasma Fatty Acid Patterns during Pregnancy with Respiratory and Allergy Outcomes at School Age.

Publications

Associations of Plasma Fatty Acid Patterns during Pregnancy with Respiratory and Allergy Outcomes at School Age.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure