Evidence map›Paper›PMID 24610234›Full record

ArticleEnvironmental health perspectives2014

The human early-life exposome (HELIX): project rationale and design.

Martine Vrijheid, Rémy Slama, Oliver Robinson, Leda Chatzi, Muireann Coen, Peter van den Hazel, Cathrine Thomsen, John Wright, Toby J Athersuch, Narcis Avellana and 25 more

Registry-linked trialAbstract read
In one paragraph

Article in Environmental health perspectives, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06989008 (Leveraging the Exposome and Patient Sensor Data to Enhance Personalized Diabetes Care Across Diverse Communities), which is not on this map. Cited by 174 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06989008 recruitingnot on this mapstarted 2025, after this paper: background citation

Leveraging the Exposome and Patient Sensor Data to Enhance Personalized Diabetes Care Across Diverse Communities

TypeobservationalSponsorUniversity of Illinois at ChicagoRan2025 to 2026Enrolled20ConditionsType 2 DiabetesArmsObservational Study: Relationships Among Glucose, Physical Activity and Environmental Influences
3 · Its place in the literature

Who cites it

174 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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114 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

35 authors.

Martine VrijheidCentre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain.
Rémy Slama
Oliver Robinson
Leda Chatzi
Muireann Coen
Peter van den Hazel
Cathrine Thomsen
John Wright
Toby J Athersuch
Narcis Avellana
Xavier Basagaña
Celine Brochot
Luca Bucchini
Mariona Bustamante
Angel Carracedo
Maribel Casas
Xavier Estivill
Lesley Fairley
Diana van Gent
Juan R Gonzalez
Berit Granum
Regina Gražulevičienė
Kristine B Gutzkow
Jordi Julvez
Hector C Keun
Manolis Kogevinas
Rosemary R C McEachan
Helle Margrete Meltzer
Eduard Sabidó
Per E Schwarze
Valérie Siroux
Jordi Sunyer
Elizabeth J Want
Florence Zeman
Mark J Nieuwenhuijsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopmental periods in early life may be particularly vulnerable to impacts of environmental exposures. Human research on this topic has generally focused on single exposure-health effect relationships. The "exposome" concept encompasses the totality of exposures from conception onward, complementing the genome.

objectivesThe Human Early-Life Exposome (HELIX) project is a new collaborative research project that aims to implement novel exposure assessment and biomarker methods to characterize early-life exposure to multiple environmental factors and associate these with omics biomarkers and child health outcomes, thus characterizing the "early-life exposome." Here we describe the general design of the project.

methodsIn six existing birth cohort studies in Europe, HELIX will estimate prenatal and postnatal exposure to a broad range of chemical and physical exposures. Exposure models will be developed for the full cohorts totaling 32,000 mother-child pairs, and biomarkers will be measured in a subset of 1,200 mother-child pairs. Nested repeat-sampling panel studies (n = 150) will collect data on biomarker variability, use smartphones to assess mobility and physical activity, and perform personal exposure monitoring. Omics techniques will determine molecular profiles (metabolome, proteome, transcriptome, epigenome) associated with exposures. Statistical methods for multiple exposures will provide exposure-response estimates for fetal and child growth, obesity, neurodevelopment, and respiratory outcomes. A health impact assessment exercise will evaluate risks and benefits of combined exposures.

conclusionsHELIX is one of the first attempts to describe the early-life exposome of European populations and unravel its relation to omics markers and health in childhood. As proof of concept, it will form an important first step toward the life-course exposome.

Indexed as

BiomarkersChildChild DevelopmentChild, PreschoolCohort StudiesEnvironmental ExposureEpigenomicsEuropeFemaleFetal DevelopmentHumansInfantInfant, NewbornMaleMaternal ExposureMetabolomeBiomarkersProteome

Identifiers

PMID24610234
PMCPMC4048258

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.