Evidence map›Paper›PMID 31174297›Full record

ArticleMetabolites2019

Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium.

Pei Zhang, Manish Arora, Romanas Chaleckis, Tomohiko Isobe, Mohit Jain, Isabel Meister, Erik Melén, Matthew Perzanowski, Federico Torta, Markus R Wenk and 1 more

Abstract readConference Proceedings
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Exposome and Social Vulnerability: An Overview of the Literature Review.International journal of environmental research and public health · 2022
    Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pei ZhangGunma University Initiative for Advanced Research (GIAR), Gunma University, Maebashi 371-8510, Japan. peizhang@gunma-u.ac.jp.ORCID 0000-0003-2054-928X
Manish AroraSenator Frank R Lautenberg Environmental Health Sciences Laboratory, Department of Environmental Medicine and Public Health, Division of Environmental Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. manish.arora@mssm.edu.
Romanas ChaleckisGunma University Initiative for Advanced Research (GIAR), Gunma University, Maebashi 371-8510, Japan. romcha@gunma-u.ac.jp.ORCID 0000-0001-8042-1005
Tomohiko IsobeNational Center for the Japan Environment and Children's Study, National Institute for Environmental Sciences, Tsukuba 305-0053, Japan. isobe.tomohiko@nies.go.jp.ORCID 0000-0001-9235-1227
Mohit JainDepartment of Medicine, University of California, San Diego, La Jolla, CA 92093, USA. mjain@ucsd.edu.
Isabel MeisterGunma University Initiative for Advanced Research (GIAR), Gunma University, Maebashi 371-8510, Japan. isabel.meister@gunma-u.ac.jp.
Erik MelénInstitute of Environmental Medicine, Karolinska Institutet, Solna 171 77, Sweden. Erik.Melen@ki.se.
Matthew PerzanowskiDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY 10027, USA. mp2217@cumc.columbia.edu.
Federico TortaDepartment of Biochemistry, YLL School of Medicine, National University of Singapore, Singapore 117597, Singapore. bchfdtt@nus.edu.sg.ORCID 0000-0001-7545-7484
Markus R WenkDepartment of Biochemistry, YLL School of Medicine, National University of Singapore, Singapore 117597, Singapore. bchmrw@nus.edu.sg.
Craig E WheelockGunma University Initiative for Advanced Research (GIAR), Gunma University, Maebashi 371-8510, Japan. Craig.Wheelock@ki.se.ORCID 0000-0002-8113-0653

Funding

The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Mapping the Plasma Exposome and its Association with Human Cardiovascular DiseaseR01ES027595 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JAIN, MOHIT · 2017 to 2021
$3.3M
European Research Council 757919Foundation for the National Institutes of Health DP2ES025453Foundation for the National Institutes of Health P30 ES09089Foundation for the National Institutes of Health R01ES027595Gunma University Initiative for Advanced Research (GIAR)Hjärt-Lungfonden 20170734Hjärt-Lungfonden 20180290Japanese Environment Research and Technology Development Fund 5-1752Japan Society for the Promotion of Science 18H06121Japan Society for the Promotion of Science 19K17662Japan Society for the Promotion of Science 19K21239Japan Society for the Promotion of Science P17774NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES027595Swedish Foundation for International Cooperation in Research and Higher Education JA2017-7040Vetenskapsrådet 2016-02798
6 · The paper itself

Abstract

The attempt to describe complex diseases by solely genetic determination has not been successful. There is increasing recognition that the development of disease is often a consequence of interactions between multiple genetic and environmental factors. To date, much of the research on environmental determinants of disease has focused on single exposures generally measured at a single time point. In order to address this limitation, the concept of the exposome has been introduced as a comprehensive approach, studying the full complement of environmental exposures from conception onwards. However, exposures are vast, dynamic, and diverse, and only a small proportion can be reasonably measured due to limitations in technology and feasibility. In addition, the interplay between genes and exposure as well as between different exposures is complicated and multifaceted, which leads to difficulties in linking disease or health outcomes with exposures. The large numbers of collected samples require well-designed logistics. Furthermore, the immense data sets generated from exposome studies require a significant computational investment for both data analysis and data storage. This report summarizes discussions during an international exposome symposium held at Gunma University in Japan regarding the concept of the exposome, challenges in exposome research, and future perspectives in the field.

Indexed as

environmentepigeneticsexposomeexposuremetabolomics

Identifiers

PMID31174297
PMCPMC6631702

What OpenQuestion holds

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Registered trials

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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.