CoChat
Sign Up
Cited by 107Effects and risks of endocrine disrupting chemicalsGut microbiota and healthAdipokines, Inflammation, and Metabolic Diseases

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Gut dysbiosis and impairment of immune system homeostasis in perinatally-exposed mice to Bisphenol A precede obese phenotype development

Open access
Malaisé, Yann, Menard, Sandrine, Cartier, Christel, Gaultier, Eric, Lasserre, Frédéric, Lencina, Corinne, Harkat, Cherryl, Geoffre, Nancy, Lakhal, Laïla, Castan, Isabelle, Olier, Maïwenn, Houdeau, Eric, Guzylack-Piriou, Laurence·2017·Scientific Reports
DOI 10.1038/s41598-017-15196-wPMC PMC5670173
Open this paper in CoChat — free accountOpen PDF

Abstract

Epidemiology evidenced the Bisphenol A (BPA), a chemical found in daily consumer products, as an environmental contributor to obesity and type II diabetes (T2D) in Humans. However, the BPA-mediated effects supporting these metabolic disorders are still unknown. Knowing that obesity and T2D are associated with low-grade inflammation and gut dysbiosis, we performed a longitudinal study in mice to determine the sequential adverse effects of BPA on immune system and intestinal microbiota that could contribute to the development of metabolic disorders. We observed that perinatal exposure to BPA (50 µg/kg body weight/day) induced intestinal and systemic immune imbalances at PND45, through a decrease of Th1/Th17 cell frequencies in the lamina propria concomitant to an increase of splenic Th1/Th17 immune responses. These early effects are associated with an altered glucose sensitivity, a defect of IgA secretion into faeces and a fall of faecal bifidobacteria relative to control mice. Such BPA-mediated events precede infiltration of pro-inflammatory M1 macrophages in gonadal white adipose tissue appearing with ageing, together with a decreased insulin sensitivity and an increased weight gain. Our findings provide a better understanding of the sequential events provoked by perinatal exposure to BPA that could support metabolic disorder development in later life.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-017-15196-w

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Perinatal exposure to BPA provokes metabolic disorders in offspring male mice. (a) Body weight of BPA and vehicle mice was measured from PND21 to PND170. (b) Perigonadal WAT weight of BPA and vehicle offspring was determined at PND45 and PND170. (c) Glucose and insulin tolerance tests were performed at PND35 and 125 respectively. The Quantitative Insulin Sensitivity Check Index (QUICKI) was calculated at PND160. Data represent the mean ± s.e.m. (n = 10–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.
Figure 1 Perinatal exposure to BPA provokes metabolic disorders in offspring male mice. (a) Body weight of BPA and vehicle mice was measured from PND21 to PND170. (b) Perigonadal WAT weight of BPA and vehicle offspring was determined at PND45 and PND170. (c) Glucose and insulin tolerance tests were performed at PND35 and 125 respectively. The Quantitative Insulin Sensitivity Check Index (QUICKI) was calculated at PND160. Data represent the mean ± s.e.m. (n = 10–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.CC BY · PubMed Central
Figure 2 The metabolic disorders due to BPA is associated with liver but not with pancreas inflammation. At PND45 and PND170, cytokine levels were determined in pancreas (TNF-α and IFN-γ) (a) and in liver (IL-17, IL-22, TNF-α and IFN-γ) (b) of BPA and vehicle exposed offspring. Data represent the mean ± s.e.m. (n = 10–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.
Figure 2 The metabolic disorders due to BPA is associated with liver but not with pancreas inflammation. At PND45 and PND170, cytokine levels were determined in pancreas (TNF-α and IFN-γ) (a) and in liver (IL-17, IL-22, TNF-α and IFN-γ) (b) of BPA and vehicle exposed offspring. Data represent the mean ± s.e.m. (n = 10–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.CC BY · PubMed Central
Figure 3 Perinatal exposure to BPA induces inflammated-M1 deviation in gonadal WAT associated with IL-17 inflammation. (a) Gating strategies for perigonadal WAT macrophages (b) M1 and M2 macrophages were phenotypically characterized from CD45.2+ F4/80+ CD11b+ cells in perigonadal WAT of BPA and vehicle-exposed offspring at PND45 and PND170. (c) TNF-α, Inos, IFN-γ, IL-17, IL1-β and IL-8 expression levels were determined in perigonadal WAT by RT-PCR at PND170. Data represent the mean ± s.e.m. (n = 10–16). Data were representative from two batches of experiments. **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.
Figure 3 Perinatal exposure to BPA induces inflammated-M1 deviation in gonadal WAT associated with IL-17 inflammation. (a) Gating strategies for perigonadal WAT macrophages (b) M1 and M2 macrophages were phenotypically characterized from CD45.2+ F4/80+ CD11b+ cells in perigonadal WAT of BPA and vehicle-exposed offspring at PND45 and PND170. (c) TNF-α, Inos, IFN-γ, IL-17, IL1-β and IL-8 expression levels were determined in perigonadal WAT by RT-PCR at PND170. Data represent the mean ± s.e.m. (n = 10–16). Data were representative from two batches of experiments. **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.CC BY · PubMed Central
Figure 4 Perinatal BPA exposure disturbs the immune homeostasis in LP and spleen. Proportion of CD3+ Tbet+ IFN-γ+ Th1 cells, CD3+ RORγt+ IL-17+ Th17 cells and CD4+ CD25+ FoxP3+ Treg cells in LP and spleen of BPA and vehicle exposed offspring at PND45 (a–c) and PND170 (d–f). IFN-γ and IL-17 levels measured at PND45 and PND170 in supernatant of isolated LP cells and splenocytes after 3 days of in vitro anti-CD3/CD28 stimulation. Data represent the mean ± s.e.m. (n = 8–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.
Figure 4 Perinatal BPA exposure disturbs the immune homeostasis in LP and spleen. Proportion of CD3+ Tbet+ IFN-γ+ Th1 cells, CD3+ RORγt+ IL-17+ Th17 cells and CD4+ CD25+ FoxP3+ Treg cells in LP and spleen of BPA and vehicle exposed offspring at PND45 (a–c) and PND170 (d–f). IFN-γ and IL-17 levels measured at PND45 and PND170 in supernatant of isolated LP cells and splenocytes after 3 days of in vitro anti-CD3/CD28 stimulation. Data represent the mean ± s.e.m. (n = 8–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.CC BY · PubMed Central
Figure 5 Perinatal exposure to BPA impairs local IgA production and antimicrobial activity leading to dysbiosis in faeces. (a) Faecal IgA and polyIgR levels were assessed and a linear regression has been made to correlate these two parameters in BPA and vehicle exposed offspring at PND45 and PND170. (b) Impact of 1 mg of faecal supernatant protein on commensal E. coli growth and lysozyme activity in faecal supernatant from BPA and vehicle exposed offspring at PND45 and PND170. Data represent the mean ± s.e.m. (n = 8–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, ***P < 0.001 vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.
Figure 5 Perinatal exposure to BPA impairs local IgA production and antimicrobial activity leading to dysbiosis in faeces. (a) Faecal IgA and polyIgR levels were assessed and a linear regression has been made to correlate these two parameters in BPA and vehicle exposed offspring at PND45 and PND170. (b) Impact of 1 mg of faecal supernatant protein on commensal E. coli growth and lysozyme activity in faecal supernatant from BPA and vehicle exposed offspring at PND45 and PND170. Data represent the mean ± s.e.m. (n = 8–16). Data were representative from two batches of experiments. *P < 0.05, **P < 0.01, ***P < 0.001 vs. non-exposed group using a Mann-Whitney’s post-hoc analysis.CC BY · PubMed Central
Figure 6 Faecal microbial alterations in response to perinatal exposure of BPA in mice offspring at PND45 and PND170. (a) PLS-DA score plots of the relative quantitative abundances (Log10 No) of twenty-two microbial taxa in faeces of BPA and vehicle offspring. (b) VIP plot representing the ten most discriminating features (microbial taxa) identified by PLS-DA build models at PND45 and PND170 (n = 9–10). (c) Relative abundances per ng DNA of microbial taxa with a VIP > 1 by real-time PCR. **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis and adjustment using Benjamini-Hochberg’s method.
Figure 6 Faecal microbial alterations in response to perinatal exposure of BPA in mice offspring at PND45 and PND170. (a) PLS-DA score plots of the relative quantitative abundances (Log10 No) of twenty-two microbial taxa in faeces of BPA and vehicle offspring. (b) VIP plot representing the ten most discriminating features (microbial taxa) identified by PLS-DA build models at PND45 and PND170 (n = 9–10). (c) Relative abundances per ng DNA of microbial taxa with a VIP > 1 by real-time PCR. **P < 0.01, vs. non-exposed group using a Mann-Whitney’s post-hoc analysis and adjustment using Benjamini-Hochberg’s method.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 1

  1. Bagchi, D. & Preuss, H. G. Obesity epidemiology, pathophysiology, and prevention. (CRC Press, 2013).

Cited by

Sorted by citations

See all 107

Related

See all

Metadata

Authors
Malaisé, Y., Menard, S., Cartier, C., Gaultier, E., Lasserre, F., Lencina, C., Harkat, C., Geoffre, N., Lakhal, L., Castan, I., Olier, M., Houdeau, E., & Guzylack-Piriou, L.
Affiliations
Université Toulouse III - Paul Sabatier (FR)
ORCID
Malaisé, Yann
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2017-11-03
Volume
7
Issue
1
Pages
14472-14472
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-017-15196-w
PMC
PMC5670173
OpenAlex
W2767042225
Cited by
107
References
65
Citations by year
2026: 4 · 2025: 8 · 2024: 22 · 2023: 16 · 2022: 15 · 2021: 12 · 2020: 16 · 2019: 8 · 2018: 4 · 2017: 1
FWCI
4.27
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, other-oa)
Funders
  • Agence Nationale de la Recherche (ANR-10-CESA-005, ANR-10-CESA-0005, ANR-10)
  • Institut National de la Recherche Agronomique
  • Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (EST-2015/1/026)
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Effects and risks of endocrine disrupting chemicals
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
Keywords
bisphenol A, perinatal exposure, gut dysbiosis, gut microbiota, immune homeostasis, Th1/Th17 cells, lamina propria, IgA secretion, Bifidobacterium, M1 macrophages, white adipose tissue, insulin resistance, obesity, type 2 diabetes, low-grade inflammation, endocrine disruptors, metabolic disorders
MeSH terms
Gastrointestinal Microbiome, Bisphenol A Compounds, Animals, Animals, Newborn, Benzhydryl Compounds, Environmental Pollutants, Feces, Female, Glucose, Immunoglobulin A, Immune System, Inflammation, Longitudinal Studies, Male, Mice, Inbred C3H, Obesity, Phenols, Pregnancy, Prenatal Exposure Delayed Effects, Time Factors, Dysbiosis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review