Evidence map›Paper›PMID 36719212›Full record

ArticleEnvironmental health perspectives2023

Accumulation of Black Carbon Particles in Placenta, Cord Blood, and Childhood Urine in Association with the Intestinal Microbiome Diversity and Composition in Four- to Six-Year-Old Children in the ENVIR

Thessa Van Pee, Janneke Hogervorst, Yinthe Dockx, Katrien Witters, Sofie Thijs, Congrong Wang, Eva Bongaerts, Jonathan D Van Hamme, Jaco Vangronsveld, Marcel Ameloot and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Thessa Van PeeCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.ORCID 0000-0003-3607-6376
Janneke HogervorstCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Yinthe DockxCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Katrien WittersCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Sofie ThijsCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Congrong WangCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Eva BongaertsCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Jonathan D Van HammeDepartment of Biological Sciences, Thompson Rivers University, Kamloops, British Columbia, Canada.
Jaco VangronsveldCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Marcel AmelootBiomedical Research Institute, Hasselt University, Diepenbeek, Belgium.
Jeroen RaesDepartment of Microbiology and Immunology, Rega Instituut, KU Leuven-University of Leuven, Leuven, Belgium.
Tim S NawrotCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.ORCID 0000-0002-3583-3593
Hasselt University · BEMaria Curie-Skłodowska University · PLRega Institute for Medical Research · BEThompson Rivers University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe gut microbiome plays an essential role in human health. Despite the link between air pollution exposure and various diseases, its association with the gut microbiome during susceptible life periods remains scarce.

objectivesIn this study, we examined the association between black carbon particles quantified in prenatal and postnatal biological matrices and bacterial richness and diversity measures, and bacterial families.

methodsA total of 85 stool samples were collected from 4- to 6-y-old children enrolled in the ENVIRonmental influence ON early AGEing birth cohort. We performed 16S rRNA gene sequencing to calculate bacterial richness and diversity indices (Chao1 richness, Shannon diversity, and Simpson diversity) and the relative abundance of bacterial families. Black carbon particles were quantified via white light generation under femtosecond pulsed laser illumination in placental tissue and cord blood, employed as prenatal exposure biomarkers, and in urine, used as a post-natal exposure biomarker. We used robust multivariable-adjusted linear models to examine the associations between quantified black carbon loads and measures of richness (Chao1 index) and diversity (Shannon and Simpson indices), adjusting for parity, season of delivery, sequencing batch, age, sex, weight and height of the child, and maternal education. Additionally, we performed a differential relative abundance analysis of bacterial families with a correction for sampling fraction bias. Results are expressed as percentage difference for a doubling in black carbon loads with 95% confidence interval (CI).

resultsTwo diversity indices were negatively associated with placental black carbon [Shannon:

conclusionBlack carbon particles quantified in prenatal and postnatal biological matrices were associated with the composition and diversity of the childhood intestinal microbiome. These findings address the influential role of exposure to air pollution during pregnancy and early life in human health. https://doi.org/10.1289/EHP11257.

Indexed as

Gastrointestinal MicrobiomePlacentaBacteriaBirth CohortCarbonChildChild, PreschoolFemaleFetal BloodHumansPregnancyRNA, Ribosomal, 16SCarbonRNA, Ribosomal, 16S

Identifiers

PMID36719212
PMCPMC9888258
OpenAlexW4318670361

What OpenQuestion holds

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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.