Evidence map›Paper›PMID 30679748›Full record

ArticleScientific reports2019

Identification of Sex-Specific Transcriptome Responses to Polychlorinated Biphenyls (PCBs).

Almudena Espín-Pérez, Dennie G A J Hebels, Hannu Kiviranta, Panu Rantakokko, Panagiotis Georgiadis, Maria Botsivali, Ingvar A Bergdahl, Domenico Palli, Florentin Späth, Anders Johansson and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 99% of its field
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

3 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
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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

14 authors at 6 institutions in 6 countries.

Almudena Espín-PérezDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands. a.espin@maastrichtuniversity.nl.
Dennie G A J HebelsDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
Hannu KivirantaDepartment of Health Protection, Chemicals and Health Unit, National Institute for Health and Welfare, Kuopio, Finland.ORCID 0000-0002-7168-1611
Panu RantakokkoDepartment of Health Protection, Chemicals and Health Unit, National Institute for Health and Welfare, Kuopio, Finland.
Panagiotis GeorgiadisInstitute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece.
Maria BotsivaliInstitute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece.
Ingvar A BergdahlDepartment of Biobank Research, and Occupational and Environmental Medicine, Umeå University, Umeå, Sweden.
Domenico PalliMolecular and Nutritional Epidemiology UnitI, ISPO Cancer Prevention and Research Institute, Florence, Italy.
Florentin SpäthDepartment of Biobank Research, and Occupational and Environmental Medicine, Umeå University, Umeå, Sweden.
Anders JohanssonDepartment of Biobank Research, and Occupational and Environmental Medicine, Umeå University, Umeå, Sweden.
Marc Chadeau-HyamDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0001-8341-5436
Soterios A KyrtopoulosInstitute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece.ORCID 0000-0002-6821-6532
Jos C S KleinjansDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
Theo M C M de KokDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
Maastricht University · NLNational Hellenic Research Foundation · GRUmeå University · SEFinnish Institute for Health and Welfare · FIImperial College London · GBPiedmont Reference Center for Epidemiology and Cancer Prevention · IT

Funding

Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

PCBs are classified as xenoestrogens and carcinogens and their health risks may be sex-specific. To identify potential sex-specific responses to PCB-exposure we established gene expression profiles in a population study subdivided into females and males. Gene expression profiles were determined in a study population consisting of 512 subjects from the EnviroGenomarkers project, 217 subjects who developed lymphoma and 295 controls were selected in later life. We ran linear mixed models in order to find associations between gene expression and exposure to PCBs, while correcting for confounders, in particular distribution of white blood cells (WBC), as well as random effects. The analysis was subdivided according to sex and development of lymphoma in later life. The changes in gene expression as a result of exposure to the six studied PCB congeners were sex- and WBC type specific. The relatively large number of genes that are significantly associated with PCB-exposure in the female subpopulation already indicates different biological response mechanisms to PCBs between the two sexes. The interaction analysis between different PCBs and WBCs provides only a small overlap between sexes. In males, cancer-related pathways and in females immune system-related pathways are identified in association with PCBs and WBCs. Future lymphoma cases and controls for both sexes show different responses to the interaction of PCBs with WBCs, suggesting a role of the immune system in PCB-related cancer development.

Indexed as

CarcinogensEnvironmental MonitoringEnvironmental PollutantsFemaleHumansImmune SystemLeukocytesMaleMiddle AgedNeoplasmsPolychlorinated BiphenylsSex CharacteristicsTranscriptomeXenobioticsCarcinogensEnvironmental PollutantsPolychlorinated BiphenylsXenobiotics

Identifiers

PMID30679748
PMCPMC6346099
OpenAlexW2913735593

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.