Exposome and metabolomics analysis pipelines. Public deliverable 5.3

This deliverable describes the computational analyses, part of the concept

of exposome monitoring using wearables devices, with systematic

longitudinal sampling. That is, the bioinformatic pipelines developed for the

HEAP project to comprehensively analyse the longitudinal exposome and

metabolome of the recruited individuals. The wearables cohort in HEAP

consists of healthy pregnant and non-pregnant women (N=100) followed

up for at least four months with systematic longitudinal sampling using

wearables devices and saliva and urine sampling (cohort described in detail

in WP5 D5.1 deliverable entitled 'Monitoring exposures during pregnancy

with a wearable device'). Our careful recruitment and monitoring of the

cohort's individuals provide the basis for the wearable cohort, which enables

the joint longitudinal assessment of the individual's external exposome,

internal metabolome, and their interaction.

We have developed two specific pipelines to describe the different

components of biotic exposure using wearables. First, Universal Fragment

Classification (UFC) pipeline is a comprehensive exposome analysis pipeline

for wearable metagenomes, which requires a minimum cell input and has

already shown accurate and reproducible results. Second, specific specieslevel

detection and phylogenetic variation analyses of the abundant

microbes are ensured with our CSC-UPAS pipeline, which uses Metagenome

Assembled Genomes (MAGs) and a large, curated reference database to

quickly and accurately infer the phylogenetic variation of the abundant

species detected. An important note here is that these pipelines are of

superb sensitivity, demonstrated by the accurate detection of as little as 10

E. coli cells from the wearables sample.

Finally, the correlation of external and internal exposure (i.e., exposome)

available from the wearables and saliva/urine samples metabolome,

respectively, will enable a comprehensive view of the health status of the

wearable cohort participants. Taken together, the comprehensive analyses

of individuals' environmental abiotic and biotic exposure jointly with the

internal metabolome will further deepen our understanding of the exposome.