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Metabolic data were collected from each pup on alternate days beginning on P2 and ending on either P6 (Experiment 2) or P14 (Experiment 1).

All metabolic data were tested for normality using the Shapiro-Wilk test.

Gene expression and metabolic data were downloaded from the publication site.

Metabolic data were only available for a subgroup (n=675) of the study group (n=1154).

Metabolic data were determined in the absence (Control group) and presence (NO group) of 4 μM NO.

Hemodynamic and metabolic data were recorded before clamping as well as prior to and 2 and 4 hours after declamping.

The metabolic data was subjected to multivariate statistical analysis (PLS-DA) which could differentiate the metabolic profiles of infested tissues from those of un-infested tissues at all the three distinct time points.

The putative identification of metabolites was based on two dimensions i.e. retention index (RI) for GC and similarity index (SI) for MS. The processed data was exported to MS Excel (Microsoft, USA) and the statistical analyses of the metabolic data was carried out using Metaboanalyst (Xia et al. 2015).

During tests, metabolic data was collected on a breath-by-breath basis using portable open circuit spirometry (Jaeger Oxycon Mobile, Viasys, CA).

Metabolic data are presented in Table 3 and Figures 3 and 4. ISI and HDL-cholesterol were lower in South Asians than Europeans in unadjusted analysis; this persisted after adjustment for age, BMI and fat mass.

Body weight, composition and metabolic data are shown in Table 1-wrap>.