Predictors of compliance with higher dose omega-3 fatty acid supplementation during pregnancy and implications for the risk of prematurity: exploratory analysis of the ORIP randomised trial.

BACKGROUND: Intention-to-treat analyses of the Omega-3 to Reduce the Incidence of Prematurity (ORIP) trial found that omega-3 (n-3) fatty acid supplementation reduces the risk of prematurity in the subgroup of women with a singleton pregnancy and low n-3 status early in pregnancy, but not overall. However, results may have been influenced by less-than-optimal compliance. OBJECTIVES: To identify predictors of compliance with n-3 supplementation and determine treatment effects among compliers. DESIGN: Exploratory analyses of a multicentre-blinded randomised trial. SETTING: 6 tertiary care centres in Australia. PARTICIPANTS: 5328 singleton pregnancies. INTERVENTIONS: Daily capsules containing 900 mg n-3 long-chain polyunsaturated fatty acids or vegetable oil, consumed from before 20 weeks gestation until 34 weeks gestation. OUTCOME MEASURES: Early preterm (<34 weeks gestation) and preterm birth (<37 weeks gestation). Women were considered compliant if they reported missing less than a third of their allocated capsules in the previous week during a mid-pregnancy appointment. RESULTS: Among 2654 singleton pregnancies in the n-3 intervention group, 1727 (65%) were deemed compliant with supplementation. Maternal characteristics associated with compliance included age, years of full-time education, consuming alcohol but not smoking in the 3 months leading up to pregnancy, fewer previous births and taking dietary supplements at enrolment. Based on complier average causal effects, n-3 supplementation reduced the risk of preterm birth in compliers (relative risk=0.76; 95% CI 0.60 to 0.97), but not early preterm birth (relative risk=0.80; 95% CI 0.44 to 1.46). Consistent with intention-to-treat analyses, the lack of an overall effect on early preterm birth in compliers appeared to be due to beneficial effects in women with low n-3 status at enrolment but not women with replete status. CONCLUSIONS: Results in compliers were similar to those from intention-to-treat analyses, suggesting that non-compliance was not a major factor in explaining outcomes from the ORIP trial. TRIAL REGISTRATION NUMBER: ACTRN12613001142729.

Identifying women who may benefit from higher dose omega-3 supplementation during pregnancy to reduce their risk of prematurity: exploratory analyses from the ORIP trial.

OBJECTIVES: The risk factors for prematurity are multifactorial and include low omega-3 status. Omega-3 supplementation in pregnancy has been found to reduce prematurity risk, particularly among women with low omega-3 levels. This study aimed to identify maternal characteristics that predict whether women with a singleton pregnancy will benefit from omega-3 supplementation to reduce their risk of prematurity. DESIGN: Exploratory analyses of a multicentre, double-blind randomised trial. SETTING: 6 tertiary care centres in four states in Australia. PARTICIPANTS: 5328 singleton pregnancies in 5305 women recruited before 20 weeks of gestation. INTERVENTIONS: Fish oil capsules containing 900 mg omega-3 long-chain polyunsaturated fatty acids per day versus vegetable oil capsules consumed from enrolment until 34 weeks' gestation. OUTCOME MEASURES: Early preterm birth (EPTB, <34 weeks' gestation) and preterm birth (PTB, <37 weeks' gestation) analysed using logistic regression models with interactions between treatment group and a range of maternal biological, clinical and demographic characteristics. RESULTS: Omega-3 supplementation reduced the odds of EPTB for women with low total omega-3 status in early pregnancy (OR=0.30, 95% CI 0.10-0.93). No additional maternal characteristics influenced whether omega-3 supplementation reduced the odds of EPTB. For PTB, women were more likely to benefit from omega-3 supplementation if they were multiparous (OR=0.65, 95% CI 0.49-0.87) or avoided alcohol in the lead up to pregnancy (OR=0.62, 95% CI 0.45-0.86). CONCLUSIONS: Our results support previous findings that women with low total omega-3 levels in early pregnancy are most likely to benefit from taking omega-3 supplements to reduce their risk of EPTB. Understanding how other maternal characteristics influence the effectiveness of omega-3 supplementation on reducing PTB requires further investigation. TRIAL REGISTRATION NUMBER: ACTRN12613001142729.

FUT2 Genetic Variants and Reported Respiratory and Gastrointestinal Illnesses During Infancy.

BACKGROUND: Fucosyltransferase 2 (FUT2) controls the production of digestive and respiratory epithelia of histo-blood group antigens involved in the attachment of pathogens. The aim of our study was to relate FUT2 variants to reported gastrointestinal and respiratory illnesses in infancy. METHODS: In the Southampton Women's Survey, FUT2 genetic variants (single-nucleotide polymorphisms [SNPs] rs601338 and rs602662) were genotyped in 1831 infants and related to infant illnesses, after adjustment for sex, breastfeeding duration, and potential confounders. RESULTS: For FUT2 SNP rs601338, the risk ratios for ≥1 bout of diarrhea during ages 6-12 months and ages 12-24 months per additional risk (G) allele were 1.23 (95% confidence interval [CI], 1.08-1.4; P = .002) and 1.41 (95% CI, 1.24-1.61; P = 1.7 × 10-7), respectively; the risk ratio for ≥1 diagnosis of a lower respiratory illness (ie, pneumonia or bronchiolitis) during ages 12-24 months per additional G allele was 2.66 (95% CI, 1.64-4.3; P = .00007). Similar associations were found between rs602662 and gastrointestinal and respiratory illnesses, owing to the high linkage disequilibrium with rs601338 (R2 = 0.92). Longer breastfeeding duration predicted a lower risk of diarrhea, independent of infant FUT2 genotype. CONCLUSIONS: We confirmed that FUT2 G alleles are associated with a higher risk of infant gastrointestinal illnesses and identified novel associations with respiratory illnesses. FUT2 locus variants need consideration in future studies of gastrointestinal and respiratory illnesses among infants.

Food peptidomics: large scale analysis of small bioactive peptides--a pilot study.

Food peptidomics deals in part with the identification and quantification of nutritionally relevant peptides which are called bioactive peptides. This category of peptides comprises large, medium to small peptides. However, small peptides (2-6 amino acids) represent by far the largest category. Such molecules sit at the interface of both the world of proteomics and small molecule. The purpose of this study was to evaluate the feasibility of developing an LC-MSMS based method to measure such small peptides at a large scale that is representative of the hundreds of known small bioactive peptides. In order to do that we selected a very complex and homogeneous peptide set in terms of chemical and physical properties. This peptide set comprised only di, tri- and tetrapeptides made out of the three branched chain amino acids (valine, leucine and isoleucine). Results showed that at least 60% of these 117 peptides can be uniquely identified although many are isobaric and co-eluting. Moreover, identical results were obtained when spiked into a complex matrix, i.e. hydrolyzed whey protein. In conclusion, these results support the feasibility of a large scale approach and open the door to further development for all potential small bioactive peptides known so far. BIOLOGICAL SIGNIFICANCE: Bioactive peptides are a key category of molecules for functional food application. Most known bioactive peptides are small (less than 5 amino acids) and hence represent a challenge in terms of analysis when using current proteomics techniques. Therefore development of the food peptidomics field through high throughput large scale assays for these molecules is mandatory in the future to better conduct research in this field.

Development of a panel of genome-wide ancestry informative markers to study admixture throughout the Americas.

Most individuals throughout the Americas are admixed descendants of Native American, European, and African ancestors. Complex historical factors have resulted in varying proportions of ancestral contributions between individuals within and among ethnic groups. We developed a panel of 446 ancestry informative markers (AIMs) optimized to estimate ancestral proportions in individuals and populations throughout Latin America. We used genome-wide data from 953 individuals from diverse African, European, and Native American populations to select AIMs optimized for each of the three main continental populations that form the basis of modern Latin American populations. We selected markers on the basis of locus-specific branch length to be informative, well distributed throughout the genome, capable of being genotyped on widely available commercial platforms, and applicable throughout the Americas by minimizing within-continent heterogeneity. We then validated the panel in samples from four admixed populations by comparing ancestry estimates based on the AIMs panel to estimates based on genome-wide association study (GWAS) data. The panel provided balanced discriminatory power among the three ancestral populations and accurate estimates of individual ancestry proportions (R² > 0.9 for ancestral components with significant between-subject variance). Finally, we genotyped samples from 18 populations from Latin America using the AIMs panel and estimated variability in ancestry within and between these populations. This panel and its reference genotype information will be useful resources to explore population history of admixture in Latin America and to correct for the potential effects of population stratification in admixed samples in the region.