Neonatal exposure to androgens dynamically alters gut microbiota architecture.

作者: Alexia Barroso , Jose Antonio Santos-Marcos , Cecilia Perdices-Lopez , Ana Vega-Rojas , Miguel Angel Sanchez-Garrido

DOI: 10.1530/JOE-20-0277

关键词:

摘要: Gonadal steroids strongly contribute to the metabolic programming that shapes susceptibility manifestation of diseases later in life, and effect is often sexually dimorphic. Microbiome signatures, together with traits sex steroid levels, were analyzed at adulthood neonatally androgenized female rats, compared those control male rats. Exposure rats high doses androgens on early postnatal life resulted persistent alterations profile namely lower progesterone higher estradiol estrone no endogenous androgens. Neonatally females heavier (10% 26% adulthood) than controls had impaired glucose homeostasis observed by AUC GTT ITT when subjected obesogenic manipulations. Androgenized displayed overt gut microbiota, indicated especially Bacteroidetes Firmicutes abundance adulthood, which disappeared animals concurrently overfed adulthood. Notably, these changes microbiota related intestinal expression several miRNAs, such as miR-27a-3p, miR-29a-5p, miR-100-3p. Our results suggest nutritional hormonal disruption developmental periods not only alters individual but also perturbs architecture may interact host a cross-talk mediated miRNAs; phenomena amplify derangement caused obesity, seen

参考文章(25)
A. M. Horstman, E. L. Dillon, R. J. Urban, M. Sheffield-Moore, The Role of Androgens and Estrogens on Healthy Aging and Longevity Journals of Gerontology Series A-biological Sciences and Medical Sciences. ,vol. 67, pp. 1140- 1152 ,(2012) , 10.1093/GERONA/GLS068
Jian Shen, Martin S. Obin, Liping Zhao, The gut microbiota, obesity and insulin resistance Molecular Aspects of Medicine. ,vol. 34, pp. 39- 58 ,(2013) , 10.1016/J.MAM.2012.11.001
Valentina Tremaroli, Fredrik Bäckhed, Functional interactions between the gut microbiota and host metabolism Nature. ,vol. 489, pp. 242- 249 ,(2012) , 10.1038/NATURE11552
M. E. Ritchie, J. Silver, A. Oshlack, M. Holmes, D. Diyagama, A. Holloway, G. K. Smyth, A comparison of background correction methods for two-colour microarrays Bioinformatics. ,vol. 23, pp. 2700- 2707 ,(2007) , 10.1093/BIOINFORMATICS/BTM412
L Pinilla, ML Barreiro, LC Gonzalez, M Tena-Sempere, E Aguilar, Comparative effects of testosterone propionate, oestradiol benzoate, ICI 182,780, tamoxifen and raloxifene on hypothalamic differentiation in the female rat. Journal of Endocrinology. ,vol. 172, pp. 441- 448 ,(2002) , 10.1677/JOE.0.1720441
Catherine Lozupone, Rob Knight, UniFrac: a New Phylogenetic Method for Comparing Microbial Communities Applied and Environmental Microbiology. ,vol. 71, pp. 8228- 8235 ,(2005) , 10.1128/AEM.71.12.8228-8235.2005
Øyvind Hammer, Paul D. Ryan, David A. T. Harper, PAST: PALEONTOLOGICAL STATISTICAL SOFTWARE PACKAGE FOR EDUCATION AND DATA ANALYSIS Palaeontologia Electronica. ,vol. 4, pp. 1- 9 ,(2001)
Raphatphorn Navakanitworakul, Wei-Ting Hung, Sumedha Gunewardena, John S. Davis, Wilaiwan Chotigeat, Lane K. Christenson, Characterization and Small RNA Content of Extracellular Vesicles in Follicular Fluid of Developing Bovine Antral Follicles Scientific Reports. ,vol. 6, pp. 25486- 25486 ,(2016) , 10.1038/SREP25486
Benjamin J Callahan, Paul J McMurdie, Michael J Rosen, Andrew W Han, Amy Jo A Johnson, Susan P Holmes, DADA2: High-resolution sample inference from Illumina amplicon data Nature Methods. ,vol. 13, pp. 581- 583 ,(2016) , 10.1038/NMETH.3869
Matteo Serino, MicroRNAs: Decoders of Dysbiosis into Metabolic Diseases? Journal of diabetes & metabolism. ,vol. 7, pp. 1- 8 ,(2016) , 10.4172/2155-6156.1000698