Developmental exposure of California mice to endocrine disrupting chemicals and potential effects on the microbiome-gut-brain axis at adulthood.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
02 07 2020
Historique:
received: 30 12 2019
accepted: 21 05 2020
entrez: 4 7 2020
pubmed: 4 7 2020
medline: 18 12 2020
Statut: epublish

Résumé

Xenoestrogens are chemicals found in plant products, such as genistein (GEN), and in industrial chemicals, e.g., bisphenol A (BPA), present in plastics and other products that are prevalent in the environment. Early exposure to such endocrine disrupting chemicals (EDC) may affect brain development by directly disrupting neural programming and/or through the microbiome-gut-brain axis. To test this hypothesis, California mice (Peromyscus californicus) offspring were exposed through the maternal diet to GEN (250 mg/kg feed weight) or BPA (5 mg/kg feed weight, low dose- LD or 50 mg/kg, upper dose-UD), and dams were placed on these diets two weeks prior to breeding, throughout gestation, and lactation. Various behaviors, gut microbiota, and fecal metabolome were assessed at 90 days of age. The LD but not UD of BPA exposure resulted in individuals spending more time engaging in repetitive behaviors. GEN exposed individuals were more likely to exhibit such behaviors and showed socio-communicative disturbances. BPA and GEN exposed females had increased number of metabolites involved in carbohydrate metabolism and synthesis. Males exposed to BPA or GEN showed alterations in lysine degradation and phenylalanine and tyrosine metabolism. Current findings indicate cause for concern that developmental exposure to BPA or GEN might affect the microbiome-gut-brain axis.

Identifiants

pubmed: 32616744
doi: 10.1038/s41598-020-67709-9
pii: 10.1038/s41598-020-67709-9
pmc: PMC7331640
doi:

Substances chimiques

Benzhydryl Compounds 0
Endocrine Disruptors 0
Phenols 0
Genistein DH2M523P0H
bisphenol A MLT3645I99

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

10902

Subventions

Organisme : NCCIH NIH HHS
ID : P50 AT006268
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES025547
Pays : United States

Commentaires et corrections

Type : ErratumIn

Références

Balakrishnan, B., Henare, K., Thorstensen, E. B., Ponnampalam, A. P. & Mitchell, M. D. Transfer of bisphenol A across the human placenta. Am. J. Obstetrics Gynecol. 202(393), e391-397. https://doi.org/10.1016/j.ajog.2010.01.025 (2010).
doi: 10.1016/j.ajog.2010.01.025
Balakrishnan, B., Thorstensen, E. B., Ponnampalam, A. P. & Mitchell, M. D. Transplacental transfer and biotransformation of genistein in human placenta. Placenta 31, 506–511. https://doi.org/10.1016/j.placenta.2010.03.007 (2010).
doi: 10.1016/j.placenta.2010.03.007 pubmed: 20413155
Kurebayashi, H., Nagatsuka, S., Nemoto, H., Noguchi, H. & Ohno, Y. Disposition of low doses of 14C-bisphenol A in male, female, pregnant, fetal, and neonatal rats. Arch. Toxicol. 79, 243–252 (2005).
doi: 10.1007/s00204-004-0628-2
Lee, J. et al. Bisphenol A distribution in serum, urine, placenta, breast milk, and umbilical cord serum in a birth panel of mother-neonate pairs. Sci. Total Environ. 626, 1494–1501. https://doi.org/10.1016/j.scitotenv.2017.10.042 (2018).
doi: 10.1016/j.scitotenv.2017.10.042 pubmed: 29146078
Adgent, M. A., Daniels, J. L., Edwards, L. J., Siega-Riz, A. M. & Rogan, W. J. Early-life soy exposure and gender-role play behavior in children. Environ. Health Perspect. 119, 1811–1816. https://doi.org/10.1289/ehp.1103579 (2011).
doi: 10.1289/ehp.1103579 pubmed: 21813368 pmcid: 3261982
Westmark, C. J. Soy infant formula may be associated with autistic behaviors. Autism 3, 1. https://doi.org/10.4172/2165-7890.1000120 (2013).
doi: 10.4172/2165-7890.1000120
Kardas, F. et al. Increased serum phthalates (MEHP, DEHP) and bisphenol A concentrations in children with autism spectrum disorder: the role of endocrine disruptors in autism etiopathogenesis. J. Child Neurol. 31, 629–635. https://doi.org/10.1177/0883073815609150 (2016).
doi: 10.1177/0883073815609150 pubmed: 26450281
Rahbar, M. H. et al. Environmental exposure to dioxins, dibenzofurans, bisphenol A, and phthalates in children with and without autism spectrum disorder living near the Gulf of Mexico. Int. J. Environ. Res. Public Health 14, 1. https://doi.org/10.3390/ijerph14111425 (2017).
doi: 10.3390/ijerph14111425
Ye, B. S., Leung, A. O. W. & Wong, M. H. The association of environmental toxicants and autism spectrum disorders in children. Environ. Pollut. 227, 234–242. https://doi.org/10.1016/j.envpol.2017.04.039 (2017).
doi: 10.1016/j.envpol.2017.04.039 pubmed: 28475976
Braun, J. M. et al. Prenatal phthalate, triclosan, and bisphenol A exposures and child visual-spatial abilities. Neurotoxicology 58, 75–83. https://doi.org/10.1016/j.neuro.2016.11.009 (2017).
doi: 10.1016/j.neuro.2016.11.009 pubmed: 27888119
Braun, J. M. et al. Impact of early-life bisphenol A exposure on behavior and executive function in children. Pediatrics 128, 873–882. https://doi.org/10.1542/peds.2011-1335 (2011).
doi: 10.1542/peds.2011-1335 pubmed: 22025598 pmcid: 3208956
Braun, J. M. et al. Associations of prenatal urinary bisphenol A concentrations with child behaviors and cognitive abilities. Environ. Health Perspect. 125, 067008. https://doi.org/10.1289/ehp984 (2017).
doi: 10.1289/ehp984 pubmed: 28657891 pmcid: 5743534
Braun, J. M. et al. Prenatal bisphenol A exposure and early childhood behavior. Environ. Health Perspect. 117, 1945–1952. https://doi.org/10.1289/ehp.0900979 (2009).
doi: 10.1289/ehp.0900979 pubmed: 20049216 pmcid: 2799471
Galea, L. A., Kavaliers, M. & Ossenkopp, K. P. Sexually dimorphic spatial learning in meadow voles Microtus pennsylvanicus and deer mice Peromyscus maniculatus. J. Exp. Biol. 199, 195–200 (1996).
pubmed: 8576690
Jasarevic, E. et al. Disruption of adult expression of sexually selected traits by developmental exposure to bisphenol A. Proc. Natl. Acad. Sci. USA 108, 11715–11720. https://doi.org/10.1073/pnas.1107958108 (2011).
doi: 10.1073/pnas.1107958108 pubmed: 21709224
Jasarevic, E. et al. Sex and dose-dependent effects of developmental exposure to bisphenol A on anxiety and spatial learning in deer mice (Peromyscus maniculatus bairdii) offspring. Horm. Behav. 63, 180–189. https://doi.org/10.1016/j.yhbeh.2012.09.009 (2013).
doi: 10.1016/j.yhbeh.2012.09.009 pubmed: 23051835
Rosenfeld, C. S., Johnson, S. A., Ellersieck, M. R. & Roberts, R. M. Interactions between parents and parents and pups in the monogamous California mouse (Peromyscus californicus). PLoS ONE 8, e75725. https://doi.org/10.1371/journal.pone.0075725 (2013).
doi: 10.1371/journal.pone.0075725 pubmed: 24069441 pmcid: 3777941
Williams, S. A. et al. Effects of developmental bisphenol A exposure on reproductive-related behaviors in California mice (Peromyscus californicus): a monogamous animal model. PLoS ONE 8, e55698. https://doi.org/10.1371/journal.pone.0055698 (2013).
doi: 10.1371/journal.pone.0055698 pubmed: 23405200 pmcid: 3565966
Johnson, S. A. et al. Disruption of parenting behaviors in california mice, a monogamous rodent species, by endocrine disrupting chemicals. PLoS ONE 10, e0126284. https://doi.org/10.1371/journal.pone.0126284 (2015).
doi: 10.1371/journal.pone.0126284 pubmed: 26039462 pmcid: 4454565
Marshall, B. L. et al. Early genistein exposure of California mice and gut microbiota-brain axis effects. J. Endocrinol. https://doi.org/10.1530/joe-19-0214 (2019).
doi: 10.1530/joe-19-0214 pubmed: 31189133
Rosenfeld, C. S. Microbiome disturbances and autism spectrum disorders. Drug Metab. Dispos. 43, 1557–1571. https://doi.org/10.1124/dmd.115.063826 (2015).
doi: 10.1124/dmd.115.063826 pubmed: 25852213
Javurek, A. B. et al. Effects of exposure to bisphenol A and ethinyl estradiol on the gut microbiota of parents and their offspring in a rodent model. Gut Microbes 7, 471–485. https://doi.org/10.1080/19490976.2016.1234657 (2016).
doi: 10.1080/19490976.2016.1234657 pubmed: 27624382 pmcid: 5103659
Reddivari, L. et al. Perinatal bisphenol A exposure induces chronic inflammation in rabbit offspring via modulation of gut bacteria and their metabolites. mSystems 2, 1. https://doi.org/10.1128/mSystems.00093-17 (2017).
doi: 10.1128/mSystems.00093-17
Malaise, Y. et al. Gut dysbiosis and impairment of immune system homeostasis in perinatally-exposed mice to bisphenol A precede obese phenotype development. Sci. Rep. 7, 14472. https://doi.org/10.1038/s41598-017-15196-w (2017).
doi: 10.1038/s41598-017-15196-w pubmed: 29101397 pmcid: 5670173
Koestel, Z. L. et al. Bisphenol A (BPA) in the serum of pet dogs following short-term consumption of canned dog food and potential health consequences of exposure to BPA. Sci. Total Environ. 579, 1804–1814. https://doi.org/10.1016/j.scitotenv.2016.11.162 (2017).
doi: 10.1016/j.scitotenv.2016.11.162 pubmed: 27932218
Catron, T. R. et al. Host Developmental toxicity of BPA and BPA alternatives is inversely related to microbiota disruption in zebrafish. Toxicol. Sci. 167, 468–483. https://doi.org/10.1093/toxsci/kfy261 (2019).
doi: 10.1093/toxsci/kfy261 pubmed: 30321396
Lai, K. P., Chung, Y. T., Li, R., Wan, H. T. & Wong, C. K. Bisphenol A alters gut microbiome: comparative metagenomics analysis. Environ. Pollut. 218, 923–930. https://doi.org/10.1016/j.envpol.2016.08.039 (2016).
doi: 10.1016/j.envpol.2016.08.039 pubmed: 27554980
Liu, Y. et al. Influence of endogenous and exogenous estrogenic endocrine on intestinal microbiota in zebrafish. PLoS ONE 11, e0163895. https://doi.org/10.1371/journal.pone.0163895 (2016).
doi: 10.1371/journal.pone.0163895 pubmed: 27701432 pmcid: 5049800
Chen, L. et al. Dysbiosis of gut microbiota by chronic coexposure to titanium dioxide nanoparticles and bisphenol A: implications for host health in zebrafish. Environ. Pollut. 234, 307–317. https://doi.org/10.1016/j.envpol.2017.11.074 (2018).
doi: 10.1016/j.envpol.2017.11.074 pubmed: 29190539
Paul, B. et al. Impact of genistein on the gut microbiome of humanized mice and its role in breast tumor inhibition. PLoS ONE 12, e0189756. https://doi.org/10.1371/journal.pone.0189756 (2017).
doi: 10.1371/journal.pone.0189756 pubmed: 29267377 pmcid: 5739415
Smith-Brown, P., Morrison, M., Krause, L. & Davies, P. S. Dairy and plant based food intakes are associated with altered faecal microbiota in 2 to 3 year old Australian children. Sci. Rep. 6, 32385. https://doi.org/10.1038/srep32385 (2016).
doi: 10.1038/srep32385 pubmed: 27694811 pmcid: 5046176
Wu, G. D. et al. Comparative metabolomics in vegans and omnivores reveal constraints on diet-dependent gut microbiota metabolite production. Gut 65, 63–72. https://doi.org/10.1136/gutjnl-2014-308209 (2016).
doi: 10.1136/gutjnl-2014-308209
Cross, T. L. et al. Soy improves cardiometabolic health and cecal microbiota in female low-fit rats. Sci. Rep. 7, 9261. https://doi.org/10.1038/s41598-017-08965-0 (2017).
doi: 10.1038/s41598-017-08965-0 pubmed: 28835674 pmcid: 5569109
Bai, G., Ni, K., Tsuruta, T. & Nishino, N. Dietary casein and soy protein isolate modulate the effects of raffinose and fructooligosaccharides on the composition and fermentation of gut microbiota in rats. J. Food Sci. 81, H2093-2098. https://doi.org/10.1111/1750-3841.13391 (2016).
doi: 10.1111/1750-3841.13391 pubmed: 27434756
Fernandez-Raudales, D. et al. Consumption of different soymilk formulations differentially affects the gut microbiomes of overweight and obese men. Gut Microbes 3, 490–500. https://doi.org/10.4161/gmic.21578 (2012).
doi: 10.4161/gmic.21578 pubmed: 22895080 pmcid: 3495786
Nakatsu, C. H. et al. Fecal bacterial community changes associated with isoflavone metabolites in postmenopausal women after soy bar consumption. J. Nutr. 9, e108924. https://doi.org/10.3945/jn.115.22419610.1371/journal.pone.0108924 (2014).
doi: 10.3945/jn.115.22419610.1371/journal.pone.0108924
Piacentini, G., Peroni, D., Bessi, E. & Morelli, L. Molecular characterization of intestinal microbiota in infants fed with soymilk. J. Pediatr. Gastroenterol. Nutr. 51, 71–76. https://doi.org/10.1097/MPG.0b013e3181dc8b02 (2010).
doi: 10.1097/MPG.0b013e3181dc8b02 pubmed: 20543718
Yeruva, L. et al. Formula diet alters small intestine morphology, microbial abundance and reduces VE-cadherin and IL-10 expression in neonatal porcine model. BMC Gastroenterol. 16, 40. https://doi.org/10.1186/s12876-016-0456-x (2016).
doi: 10.1186/s12876-016-0456-x pubmed: 27005303 pmcid: 4804644
Zhou, L. et al. Improved glucose and lipid metabolism in the early life of female offspring by maternal dietary genistein Is associated with alterations in the gut microbiota. Front. Endocrinol. 9, 516. https://doi.org/10.3389/fendo.2018.00516 (2018).
doi: 10.3389/fendo.2018.00516
Lopez, P. et al. Long-term genistein consumption modifies gut microbiota, improving glucose metabolism, metabolic endotoxemia, and cognitive function in mice fed a high-fat diet. Mol. Nutr. Food Res. 62, e1800313. https://doi.org/10.1002/mnfr.201800313 (2018).
doi: 10.1002/mnfr.201800313 pubmed: 29979819
Huang, G. et al. Exacerbation of type 1 diabetes in perinatally genistein exposed female non-obese diabetic (NOD) mouse is associated with alterations of gut microbiota and immune homeostasis. Toxicol. Sci. 165, 291–301. https://doi.org/10.1093/toxsci/kfy162 (2018).
doi: 10.1093/toxsci/kfy162 pubmed: 29982808 pmcid: 6154270
Sarma, S. J., Lei, Z., Rosenfeld, C. S., Ericsson, A. & Sumner, L. W. Nontargeted fecal metabolomics: an emerging tool to probe the role of the gut-microbiome in host-health. Bioanalysis https://doi.org/10.4155/bio-2020-0010 (2020).
doi: 10.4155/bio-2020-0010 pubmed: 32209031
Rosenfeld, C. S. & Ferguson, S. A. Barnes maze testing strategies with small and large rodent models (J. Vis, Exp, 2014).
doi: 10.3791/51194
Moy, S. S. et al. Sociability and preference for social novelty in five inbred strains: an approach to assess autistic-like behavior in mice. Genes Brain Behav. 3, 287–302. https://doi.org/10.1111/j.1601-1848.2004.00076.x (2004).
doi: 10.1111/j.1601-1848.2004.00076.x pubmed: 15344922
Segata, N. et al. Metagenomic biomarker discovery and explanation. Genome Biol. 12, R60. https://doi.org/10.1186/gb-2011-12-6-r60 (2011).
doi: 10.1186/gb-2011-12-6-r60 pubmed: 21702898 pmcid: 21702898
Rohart, F., Gautier, B., Singh, A. & Le Cao, K.-A. mixOmics: An R package for ‘omics feature selection and multiple data integration. PLoS Comput. Biol. 13, e1005752 (2017).
doi: 10.1371/journal.pcbi.1005752
Kohara, Y., Kuwahara, R., Kawaguchi, S., Jojima, T. & Yamashita, K. Perinatal exposure to genistein, a soy phytoestrogen, improves spatial learning and memory but impairs passive avoidance learning and memory in offspring. Physiol. Behav. 130, 40–46. https://doi.org/10.1016/j.physbeh.2014.03.006 (2014).
doi: 10.1016/j.physbeh.2014.03.006 pubmed: 24637062
Alonso, A. et al. Acute effects of 17 beta-estradiol and genistein on insulin sensitivity and spatial memory in aged ovariectomized female rats. Age 32, 421–434. https://doi.org/10.1007/s11357-010-9148-6 (2010).
doi: 10.1007/s11357-010-9148-6 pubmed: 20467821 pmcid: 2980599
Bagheri, M., Joghataei, M. T., Mohseni, S. & Roghani, M. Genistein ameliorates learning and memory deficits in amyloid beta(1–40) rat model of Alzheimer’s disease. Neurobiol. Learn. Mem. 95, 270–276. https://doi.org/10.1016/j.nlm.2010.12.001 (2011).
doi: 10.1016/j.nlm.2010.12.001 pubmed: 21144907
Kohara, Y. et al. Genistein improves spatial learning and memory in male rats with elevated glucose level during memory consolidation. Physiol. Behav. 140, 15–22. https://doi.org/10.1016/j.physbeh.2014.12.005 (2015).
doi: 10.1016/j.physbeh.2014.12.005 pubmed: 25481356
Pisani, S. L. et al. Acute genistein treatment mimics the effects of estradiol by enhancing place learning and impairing response learning in young adult female rats. Horm. Behav. 62, 491–499. https://doi.org/10.1016/j.yhbeh.2012.08.006 (2012).
doi: 10.1016/j.yhbeh.2012.08.006 pubmed: 22944517 pmcid: 3495242
Ball, E. R. et al. Effects of genistein in the maternal diet on reproductive development and spatial learning in male rats. Horm. Behav. 57, 313–322. https://doi.org/10.1016/j.yhbeh.2009.12.013 (2010).
doi: 10.1016/j.yhbeh.2009.12.013 pubmed: 20053350 pmcid: 2834867
Hicks, K. D. et al. Interaction of bisphenol A (BPA) and soy phytoestrogens on sexually dimorphic sociosexual behaviors in male and female rats. Horm. Behav. 84, 121–126. https://doi.org/10.1016/j.yhbeh.2016.06.010 (2016).
doi: 10.1016/j.yhbeh.2016.06.010 pubmed: 27373758 pmcid: 4996731
Rodriguez-Gomez, A., Filice, F., Gotti, S. & Panzica, G. Perinatal exposure to genistein affects the normal development of anxiety and aggressive behaviors and nitric oxide system in CD1 male mice. Physiol. Behav. 133, 107–114. https://doi.org/10.1016/j.physbeh.2014.05.020 (2014).
doi: 10.1016/j.physbeh.2014.05.020 pubmed: 24874775
Hill, C. E., Myers, J. P. & Vandenberg, L. N. Nonmonotonic dose-response curves occur in dose ranges that are relevant to regulatory decision-making. Dose Response 16, 1559325818798282. https://doi.org/10.1177/1559325818798282 (2018).
doi: 10.1177/1559325818798282 pubmed: 30228814 pmcid: 6137554
Prins, G. S., Patisaul, H. B., Belcher, S. M. & Vandenberg, L. N. CLARITY-BPA academic laboratory studies identify consistent low-dose bisphenol A effects on multiple organ systems. Basic Clin. Pharmacol. Toxicol. https://doi.org/10.1111/bcpt.13125 (2018).
doi: 10.1111/bcpt.13125 pubmed: 30387920 pmcid: 6497561
Jasarevic, E., Geary, D. C. & Rosenfeld, C. S. Sexually selected traits: a fundamental framework for studies on behavioral epigenetics. ILAR J. 53, 253–269. https://doi.org/10.1093/ilar.53.3-4.253 (2012).
doi: 10.1093/ilar.53.3-4.253 pubmed: 23744965 pmcid: 3679548
Magnusson, K. R. et al. Relationships between diet-related changes in the gut microbiome and cognitive flexibility. Neuroscience 300, 128–140. https://doi.org/10.1016/j.neuroscience.2015.05.016 (2015).
doi: 10.1016/j.neuroscience.2015.05.016 pubmed: 25982560
Cheung, S. G. et al. Systematic review of gut microbiota and major depression. Front. Psychiatr. 10, 34. https://doi.org/10.3389/fpsyt.2019.00034 (2019).
doi: 10.3389/fpsyt.2019.00034
Chung, Y. E. et al. Exploration of microbiota targets for major depressive disorder and mood related traits. J. Psychiatr. Res. 111, 74–82. https://doi.org/10.1016/j.jpsychires.2019.01.016 (2019).
doi: 10.1016/j.jpsychires.2019.01.016 pubmed: 30685565
Piccolo, B. D. et al. Early postnatal diets affect the bioregional small intestine microbiome and ileal metabolome in neonatal pigs. J. Nutr. 147, 1499–1509. https://doi.org/10.3945/jn.117.252767 (2017).
doi: 10.3945/jn.117.252767 pubmed: 28659406
Zhou, L. et al. Gut microbiota might be a crucial factor in deciphering the metabolic benefits of perinatal genistein consumption in dams and adult female offspring. Food Funct. https://doi.org/10.1039/c9fo01046g (2019).
doi: 10.1039/c9fo01046g pubmed: 31778135
Reichardt, N. et al. Specific substrate-driven changes in human faecal microbiota composition contrast with functional redundancy in short-chain fatty acid production. ISME J. 12, 610–622. https://doi.org/10.1038/ismej.2017.196 (2018).
doi: 10.1038/ismej.2017.196 pubmed: 29192904
Zeng, J. et al. Effect of bisphenol A on rat metabolic profiling studied by using capillary electrophoresis time-of-flight mass spectrometry. Environ. Sci. Technol. 47, 7457–7465. https://doi.org/10.1021/es400490f (2013).
doi: 10.1021/es400490f pubmed: 23746042
Midtvedt, T. Microbial bile acid transformation. Am. J. Clin. Nutr. 27, 1341–1347. https://doi.org/10.1093/ajcn/27.11.1341 (1974).
doi: 10.1093/ajcn/27.11.1341 pubmed: 4217103
Zeng, H., Umar, S., Rust, B., Lazarova, D. & Bordonaro, M. Secondary bile acids and short chain fatty acids in the colon: a focus on colonic microbiome, cell proliferation, inflammation, and cancer. Int. J. Mol. Sci. 20, 1. https://doi.org/10.3390/ijms20051214 (2019).
doi: 10.3390/ijms20051214
MahmoudianDehkordi, S. et al. Altered bile acid profile associates with cognitive impairment in Alzheimer’s disease: an emerging role for gut microbiome. Alzheimer’s Dementia 15, 76–92. https://doi.org/10.1016/j.jalz.2018.07.217 (2019).
doi: 10.1016/j.jalz.2018.07.217 pubmed: 30337151
Tunnicliff, G., Rogier, C. J. & Youngs, T. L. Inhibition of neuronal membrane GABAB receptor binding by GABA structural analogues. Int. J. Biochem. 20, 179–182 (1988).
doi: 10.1016/0020-711X(88)90483-1
Natesan, V., Mani, R. & Arumugam, R. Clinical aspects of urea cycle dysfunction and altered brain energy metabolism on modulation of glutamate receptors and transporters in acute and chronic hyperammonemia. Biomed. Pharmacother. 81, 192–202. https://doi.org/10.1016/j.biopha.2016.04.010 (2016).
doi: 10.1016/j.biopha.2016.04.010 pubmed: 27261594
Haroon, E., Miller, A. H. & Sanacora, G. Inflammation, glutamate, and glia: a trio of trouble in mood disorders. Neuropsychopharmacology 42, 193–215. https://doi.org/10.1038/npp.2016.199 (2017).
doi: 10.1038/npp.2016.199 pubmed: 27629368
Lener, M. S. et al. Glutamate and gamma-aminobutyric acid systems in the pathophysiology of major depression and antidepressant response to ketamine. Biol. Psychiatry 81, 886–897. https://doi.org/10.1016/j.biopsych.2016.05.005 (2017).
doi: 10.1016/j.biopsych.2016.05.005 pubmed: 27449797
Zhao, Y. et al. Neuronal glucose transporter isoform 3 deficient mice demonstrate features of autism spectrum disorders. Mol. Psychiatry 15, 286–299. https://doi.org/10.1038/mp.2009.51 (2010).
doi: 10.1038/mp.2009.51 pubmed: 19506559
Aoki-Yoshida, A. et al. Omics studies of the murine intestinal ecosystem exposed to subchronic and mild social defeat stress. J. Proteome Res. 15, 3126–3138. https://doi.org/10.1021/acs.jproteome.6b00262 (2016).
doi: 10.1021/acs.jproteome.6b00262 pubmed: 27482843
Johnson, S. A., Ellersieck, M. R. & Rosenfeld, C. S. Hypothalamic gene expression changes in F1 California mice (Peromyscus californicus) parents developmentally exposed to bisphenol A or ethinyl estradiol. Heliyon 4, e00672. https://doi.org/10.1016/j.heliyon.2018.e00672 (2018).
doi: 10.1016/j.heliyon.2018.e00672 pubmed: 30003164 pmcid: 6039852
Howdeshell, K. L. et al. Bisphenol A is released from used polycarbonate animal cages into water at room temperature. Environ. Health Perspect. 111, 1180–1187. https://doi.org/10.1289/ehp.5993 (2003).
doi: 10.1289/ehp.5993 pubmed: 12842771 pmcid: 1241572
Sieli, P. T. et al. Comparison of serum bisphenol A concentrations in mice exposed to bisphenol A through the diet versus oral bolus exposure. Environ. Health Perspect. 119, 1260–1265. https://doi.org/10.1289/ehp.1003385 (2011).
doi: 10.1289/ehp.1003385 pubmed: 21642047 pmcid: 3230401
Padmanabhan, V. et al. Maternal bisphenol-A levels at delivery: a looming problem?. J. Perinatol. 28, 258–263. https://doi.org/10.1038/sj.jp.7211913 (2008).
doi: 10.1038/sj.jp.7211913 pubmed: 18273031 pmcid: 4033524
Teeguarden, J. G. et al. Twenty-four hour human urine and serum profiles of bisphenol a during high-dietary exposure. Toxicol. Sci. 123, 48–57. https://doi.org/10.1093/toxsci/kfr160 (2011).
doi: 10.1093/toxsci/kfr160 pubmed: 21705716
Vandenberg, L. N. et al. Urinary, circulating, and tissue biomonitoring studies indicate widespread exposure to bisphenol A. Environ. Health Perspect. 118, 1055–1070. https://doi.org/10.1289/ehp.0901716 (2010).
doi: 10.1289/ehp.0901716 pubmed: 20338858 pmcid: 2920080
Vandenberg, L. N., Hauser, R., Marcus, M., Olea, N. & Welshons, W. V. Human exposure to bisphenol A (BPA). Reprod. Toxicol. 24, 139–177 (2007).
doi: 10.1016/j.reprotox.2007.07.010
Rice, D. & Barone, S. Jr. Critical periods of vulnerability for the developing nervous system: evidence from humans and animal models. Environ. Health Perspect. 108(Suppl 3), 511–533 (2000).
doi: 10.1289/ehp.00108s3511
Howdeshell, K. L. A model of the development of the brain as a construct of the thyroid system. Environ. Health Perspect. 110(Suppl 3), 337–348 (2002).
doi: 10.1289/ehp.02110s3337
Dolinoy, D. C. Maternal genistein alters coat color and protects Avy mouse offsping from obesity by modifying the fetal epigenome. Environ. Health Perspect. 114, 567–572 (2006).
doi: 10.1289/ehp.8700
Dolinoy, D. C., Huang, D. & Jirtle, R. L. Maternal nutrient supplementation counteracts bisphenol A-induced DNA hypomethylation in early development. Proc. Natl. Acad. Sci. USA. 104, 13056–13061. https://doi.org/10.1073/pnas.0703739104 (2007).
doi: 10.1073/pnas.0703739104 pubmed: 17670942
Rosenfeld, C. S. et al. Maternal exposure to bisphenol A and genistein has minimal effect on A(vy)/a offspring coat color but favors birth of agouti over nonagouti mice. Proc. Natl. Acad. Sci. USA. 110, 537–542. https://doi.org/10.1073/pnas.1220230110 (2013).
doi: 10.1073/pnas.1220230110 pubmed: 23267115
Wolstenholme, J. T. et al. Gestational exposure to bisphenol a produces transgenerational changes in behaviors and gene expression. Endocrinology 153, 3828–3838. https://doi.org/10.1210/en.2012-1195 (2012).
doi: 10.1210/en.2012-1195 pubmed: 22707478 pmcid: 3404345
Wolstenholme, J. T., Goldsby, J. A. & Rissman, E. F. Transgenerational effects of prenatal bisphenol A on social recognition. Horm. Behav. 64, 833–839. https://doi.org/10.1016/j.yhbeh.2013.09.007 (2013).
doi: 10.1016/j.yhbeh.2013.09.007 pubmed: 24100195 pmcid: 3955720
Gerona, R., Vom Saal, F. S. & Hunt, P. A. BPA: have flawed analytical techniques compromised risk assessments?. Lancet Diabetes Endocrinol 8, 11–13. https://doi.org/10.1016/s2213-8587(19)30381-x (2020).
doi: 10.1016/s2213-8587(19)30381-x pubmed: 31813841
Fritz, W. A., Wang, J., Eltoum, I. E. & Lamartiniere, C. A. Dietary genistein down-regulates androgen and estrogen receptor expression in the rat prostate. Mol. Cell. Endocrinol. 186, 89–99 (2002).
doi: 10.1016/S0303-7207(01)00663-3
King, J. A. Biology of Peromyscus (Rodentia). 2:xiii + 1–593. (American Society of Mammalogists., 1968).
Dudley, D. Contributions of paternal care to the growth and development of the young in Peromyscus californicus. Behav Biol 11, 155–166. https://doi.org/10.1016/s0091-6773(74)90305-8 (1974).
doi: 10.1016/s0091-6773(74)90305-8 pubmed: 4847518
Okamoto, Y., Aoki, A., Ueda, K. & Jinno, H. Metabolomic analysis uncovered an association of serum phospholipid levels with estrogen-induced mammary tumors in female ACI/Seg rats. Toxicol. Lett. 288, 65–70. https://doi.org/10.1016/j.toxlet.2018.02.017 (2018).
doi: 10.1016/j.toxlet.2018.02.017 pubmed: 29454887
Johnson, S. A. et al. Multigenerational effects of bisphenol A or ethinyl estradiol exposure on F2 California mice (Peromyscus californicus) pup vocalizations. PLoS ONE 13, e0199107. https://doi.org/10.1371/journal.pone.0199107 (2018).
doi: 10.1371/journal.pone.0199107 pubmed: 29912934 pmcid: 6005501
Fountain, E. D. et al. Effects of diets enriched in omega-3 and omega-6 polyunsaturated fatty acids on offspring sex-ratio and maternal behavior in mice. Biol. Reprod. 78, 211–217 (2008).
doi: 10.1095/biolreprod.107.065003
Chew, V., & United, S. Comparisons among treatment means in an analysis of variance (Dept. of Agriculture, Agricultural Research Service, Washington, 1977).
Saville, D. J. Multiple comparison procedures: the practical solution. Am. Stat. 44, 174–180 (1990).

Auteurs

Sarabjit Kaur (S)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA.

Saurav J Sarma (SJ)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
MU Metabolomics Center, University of Missouri, Columbia, MO, 65211, USA.

Brittney L Marshall (BL)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA.

Yang Liu (Y)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
MU Institute of Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA.

Jessica A Kinkade (JA)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA.

Madison M Bellamy (MM)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA.

Jiude Mao (J)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA.

William G Helferich (WG)

Food Science and Human Nutrition, University of Illinois, Urbana, IL, 61801, USA.

A Katrin Schenk (AK)

Physics, Randolph College, Lynchburg, VA, 24503, USA.

Nathan J Bivens (NJ)

DNA Core Facility, University of Missouri, Columbia, MO, 65211, USA.

Zhentian Lei (Z)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
MU Metabolomics Center, University of Missouri, Columbia, MO, 65211, USA.
Department of Biochemistry, University of Missouri, Columbia, MO, 65211, USA.

Lloyd W Sumner (LW)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
MU Metabolomics Center, University of Missouri, Columbia, MO, 65211, USA.
Department of Biochemistry, University of Missouri, Columbia, MO, 65211, USA.

John A Bowden (JA)

Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32610, USA.
Center for Environmental and Human Toxicology, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32610, USA.

Jeremy P Koelmel (JP)

Environmental Health Sciences, Yale University, New Haven, CT, 06510, USA.

Trupti Joshi (T)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA.
MU Institute of Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA.
Department of Health Management and Informatics, School of Medicine, University of Missouri, Columbia, MO, 65211, USA.

Cheryl S Rosenfeld (CS)

Christopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA. rosenfeldc@missouri.edu.
Biomedical Sciences, University of Missouri, Columbia, MO, 65211, USA. rosenfeldc@missouri.edu.
MU Institute of Data Science and Informatics, University of Missouri, Columbia, MO, 65211, USA. rosenfeldc@missouri.edu.
Thompson Center for Autism and Neurobehavioral Disorders, University of Missouri, Columbia, MO, 65211, USA. rosenfeldc@missouri.edu.
Genetics Area Program, University of Missouri, Columbia, MO, 65211, USA. rosenfeldc@missouri.edu.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH