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Anat Yaskolka Meir

Publications and source records attributed to Anat Yaskolka Meir.

2 recordsLinked to original sources

Infancy IgE methylation score and childhood wheezing and asthma: Multicohort study.

BACKGROUND: Early-life epigenetic programming may mediate gene-environment interactions underlying recurrent wheezing and asthma. Multi-CpG methylation scores can summarize the epigenetic potential for high IgE beyond what is captured by observed IgE levels. OBJECTIVE: We sought to establish and examine the residual effect of an epigenetic total IgE (DNAm-IgE) score on respiratory morbidity in a pediatric population. METHODS: We used data from the 35th Multicenter Airway Research Collaboration (MARC-35; n = 560), the 43rd Multicenter Airway Research Collaboration (MARC-43; n = 177), and the Boston Birth Cohort (BBC; n = 80). DNA methylation (Illumina EPIC array) was measured in blood during infancy (MARC-35, MARC-43) and in cord blood at birth (BBC). Total IgE was assessed in blood at infancy, recurrent wheezing at age 3 years, and asthma at age 6 years for all cohorts. RESULTS: MARC-35 data were used to train and evaluate a DNAm-IgE score (R = 0.502 vs total IgE). MARC-43 and BBC data were used to validate the score (R = 0.309 and R = 0.132). In meta-analyses of the 3 cohorts, 1 standard deviation of DNAm-IgE score residuals (DNAm-IgE score regressed on total IgE) was associated with recurrent wheezing (OR = 1.33 [95% confidence interval, 1.11, 1.60], Pheterogeneity = .92), while 1 standard deviation of total IgE was associated with asthma (OR = 1.45 [95% confidence interval, 1.19, 1.76], Pheterogeneity = .29). All models were adjusted for sex, race/ethnicity, and birth weight. CONCLUSION: Early-life epigenetic patterns related to total IgE may contribute to subsequent respiratory morbidity beyond measured IgE levels. The DNAm-IgE score and its residual component should be viewed as exploratory tools that require further validation and mechanistic study.

Humans

Cross-omics risk scores of inflammation markers are associated with all-cause mortality: The Canadian Longitudinal Study on Aging.

Inflammation is a critical component of chronic diseases, aging progression, and lifespan. Omics signatures may characterize inflammation status beyond blood biomarkers. We leveraged genetics (polygenic risk score [PRS]), metabolomics (metabolomic risk score [MRS]), and epigenetics (epigenetic risk score [ERS]) to build multi-omics-multi-marker risk scores for inflammation status represented by the level of circulating C-reactive protein (CRP), interleukin 6 (IL-6), and tumor necrosis factor alpha (TNF-α). We found that multi-omics risk scores generally outperformed single-omics risk scores in predicting all-cause mortality in the Canadian Longitudinal Study on Aging. Compared with circulating inflammation biomarkers, some multi-omics risk scores had a higher hazard ratio (HR) for all-cause mortality when including both score and circulating IL-6 in the same model (1-SD IL-6 MRS-ERS: HR = 2.20 [1.55-3.13] vs. 1-SD circulating IL-6 HR = 0.94 [0.67,1.32]. 1-SD IL-6 PRS-MRS: HR = 1.47 [1.35,1.59] vs. 1-SD circulating IL-6 HR = 1.33 [1.18, 1.51]. 1-SD PRS-MRS-ERS: HR = 1.95 [1.40, 2.70] vs. 1-SD circulating IL-6: HR = 0.99 [0.71, 1.39]). In the Nurses' Health Study (NHS), NHS II, and Health Professional Follow-up Study with available omics, 1 SD of IL-6 PRS and 1-SD IL-6 PRS-MRS had HR = 1.12 [1.00,1.26] and HR = 1.13 [1.01,1.26] among individuals >65 years old without mutual adjustment of the score and circulating IL-6. Our study demonstrates that some multi-omics scores for inflammation markers may characterize important inflammation burden for an individual beyond those represented by blood biomarkers and improve our prediction capability for the aging process and lifespan.

Humans