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Time course of the response to ACTH in pig: biological and transcriptomic study
HPA axis plays a major role in physiological homeostasis. It is also involved in stress and adaptive response to the environment. In farm animals in general and specifically in pigs, breeding strategies have highly favored production traits such as lean growth rate, feed efficiency and prolificacy a...
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Published in: | BMC genomics 2015-11, Vol.16 (958), p.961-961, Article 961 |
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description | HPA axis plays a major role in physiological homeostasis. It is also involved in stress and adaptive response to the environment. In farm animals in general and specifically in pigs, breeding strategies have highly favored production traits such as lean growth rate, feed efficiency and prolificacy at the cost of robustness. On the hypothesis that the HPA axis could contribute to the trade-off between robustness and production traits, we have designed this experiment to explore individual variation in the biological response to the main stress hormone, cortisol, in pigs. We used ACTH injections to trigger production of cortisol in 120 juvenile Large White (LW) pigs from 28 litters and the kinetics of the response was measured with biological variables and whole blood gene expression at 4 time points. A multilevel statistical analysis was used to take into account the longitudinal aspect of the data.
Cortisol level reached its peak 1 h after ACTH injection. White blood cell composition was modified with a decrease of lymphocytes and monocytes and an increase of granulocytes (F D R |
doi_str_mv | 10.1186/s12864-015-2118-8 |
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Cortisol level reached its peak 1 h after ACTH injection. White blood cell composition was modified with a decrease of lymphocytes and monocytes and an increase of granulocytes (F D R<0.05). Basal level of cortisol was correlated with birth and weaning weights. Microarray analysis identified 65 unique genes of which expression responded to the injection of ACTH (adjusted P<0.05). These genes were classified into 4 clusters with distinctive kinetics in response to ACTH injection. The first cluster identified genes strongly correlated to cortisol and previously reported as being regulated by glucocorticoids. In particular, DDIT4, DUSP1, FKBP5, IL7R, NFKBIA, PER1, RGS2 and RHOB were shown to be connected to each other by the glucocorticoid receptor NR3C1. Most of the differentially expressed genes that encode transcription factors have not been described yet as being important in transcription networks involved in stress response. Their co-expression may mean co-regulation and they could thus provide new patterns of biomarkers of the individual sensitivity to cortisol.
We identified 65 genes as biological markers of HPA axis activation at the gene expression level. These genes might be candidates for a better understanding of the molecular mechanisms of the stress response.</description><identifier>ISSN: 1471-2164</identifier><identifier>EISSN: 1471-2164</identifier><identifier>DOI: 10.1186/s12864-015-2118-8</identifier><identifier>PMID: 26578410</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>ACTH ; Adrenocorticotropic Hormone - pharmacology ; Animal biology ; Animals ; Female ; Gene expression ; Genetic aspects ; Homeostasis ; Hydrocortisone ; Hydrocortisone - blood ; Kinetics ; Life Sciences ; Male ; Observations ; Properties ; Stress (Physiology) ; Stress, Physiological - drug effects ; Stress, Physiological - genetics ; Swine ; Transcriptome - drug effects</subject><ispartof>BMC genomics, 2015-11, Vol.16 (958), p.961-961, Article 961</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Sautron et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c628t-44adf52a5e22e714c2463255fd294ed246ed0d44474732529e4ec4df3502c7093</citedby><cites>FETCH-LOGICAL-c628t-44adf52a5e22e714c2463255fd294ed246ed0d44474732529e4ec4df3502c7093</cites><orcidid>0009-0009-3578-7003 ; 0000-0002-0533-331X ; 0000-0003-0201-0264 ; 0000-0003-1156-0639 ; 0000-0003-0345-1432 ; 0000-0003-4717-078X ; 0000-0002-1347-3785</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4650497/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1779682008?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26578410$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01271063$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Sautron, Valérie</creatorcontrib><creatorcontrib>Terenina, Elena</creatorcontrib><creatorcontrib>Gress, Laure</creatorcontrib><creatorcontrib>Lippi, Yannick</creatorcontrib><creatorcontrib>Billon, Yvon</creatorcontrib><creatorcontrib>Larzul, Catherine</creatorcontrib><creatorcontrib>Liaubet, Laurence</creatorcontrib><creatorcontrib>Villa-Vialaneix, Nathalie</creatorcontrib><creatorcontrib>Mormède, Pierre</creatorcontrib><title>Time course of the response to ACTH in pig: biological and transcriptomic study</title><title>BMC genomics</title><addtitle>BMC Genomics</addtitle><description>HPA axis plays a major role in physiological homeostasis. It is also involved in stress and adaptive response to the environment. In farm animals in general and specifically in pigs, breeding strategies have highly favored production traits such as lean growth rate, feed efficiency and prolificacy at the cost of robustness. On the hypothesis that the HPA axis could contribute to the trade-off between robustness and production traits, we have designed this experiment to explore individual variation in the biological response to the main stress hormone, cortisol, in pigs. We used ACTH injections to trigger production of cortisol in 120 juvenile Large White (LW) pigs from 28 litters and the kinetics of the response was measured with biological variables and whole blood gene expression at 4 time points. A multilevel statistical analysis was used to take into account the longitudinal aspect of the data.
Cortisol level reached its peak 1 h after ACTH injection. White blood cell composition was modified with a decrease of lymphocytes and monocytes and an increase of granulocytes (F D R<0.05). Basal level of cortisol was correlated with birth and weaning weights. Microarray analysis identified 65 unique genes of which expression responded to the injection of ACTH (adjusted P<0.05). These genes were classified into 4 clusters with distinctive kinetics in response to ACTH injection. The first cluster identified genes strongly correlated to cortisol and previously reported as being regulated by glucocorticoids. In particular, DDIT4, DUSP1, FKBP5, IL7R, NFKBIA, PER1, RGS2 and RHOB were shown to be connected to each other by the glucocorticoid receptor NR3C1. Most of the differentially expressed genes that encode transcription factors have not been described yet as being important in transcription networks involved in stress response. Their co-expression may mean co-regulation and they could thus provide new patterns of biomarkers of the individual sensitivity to cortisol.
We identified 65 genes as biological markers of HPA axis activation at the gene expression level. These genes might be candidates for a better understanding of the molecular mechanisms of the stress response.</description><subject>ACTH</subject><subject>Adrenocorticotropic Hormone - pharmacology</subject><subject>Animal biology</subject><subject>Animals</subject><subject>Female</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Homeostasis</subject><subject>Hydrocortisone</subject><subject>Hydrocortisone - blood</subject><subject>Kinetics</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Observations</subject><subject>Properties</subject><subject>Stress (Physiology)</subject><subject>Stress, Physiological - drug effects</subject><subject>Stress, Physiological - genetics</subject><subject>Swine</subject><subject>Transcriptome - drug effects</subject><issn>1471-2164</issn><issn>1471-2164</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptkkFv1DAQhSMEoqXwA7ggS1zoIcV2xnbCAWm1ArbSSpVgOVuuM8m6SuwQJxX99zjaUroVysGZ8ffGo6eXZW8ZvWCslB8j46WEnDKR89TIy2fZKQPFUiXh-aP_k-xVjDeUMlVy8TI74VKoEhg9za52rkdiwzxGJKEh0x7JiHEIPtVTIKv1bkOcJ4NrP5FrF7rQOms6YnxNptH4aEc3TKF3lsRpru9eZy8a00V8c3-eZT-_ftmtN_n26tvlerXNreTllAOYuhHcCOQcFQPLQRZciKbmFWCdKqxpDQAKVOrzCgEt1E0hKLeKVsVZ9vkwd5ive6wt-rRNp4fR9Wa808E4fXzj3V634VaDFBQqlQacHwbsn8g2q61eepRxxagsblliP9w_NoZfM8ZJ9y5a7DrjMcxRM1WIiirBZELfP0Fvkrc-WZEoVcmSU1r-o1rToXa-CWlHuwzVK4CKSwkSEnXxHyp9NSa_g8fGpf6R4PxIkJgJf0-tmWPUlz--H7PswNoxxDhi82ACo3pJlz6kK_kg9JIuvaz97rHpD4q_cSr-AA2yxhM</recordid><startdate>20151117</startdate><enddate>20151117</enddate><creator>Sautron, Valérie</creator><creator>Terenina, Elena</creator><creator>Gress, Laure</creator><creator>Lippi, Yannick</creator><creator>Billon, Yvon</creator><creator>Larzul, Catherine</creator><creator>Liaubet, Laurence</creator><creator>Villa-Vialaneix, Nathalie</creator><creator>Mormède, Pierre</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7QP</scope><scope>7QR</scope><scope>7SS</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0009-3578-7003</orcidid><orcidid>https://orcid.org/0000-0002-0533-331X</orcidid><orcidid>https://orcid.org/0000-0003-0201-0264</orcidid><orcidid>https://orcid.org/0000-0003-1156-0639</orcidid><orcidid>https://orcid.org/0000-0003-0345-1432</orcidid><orcidid>https://orcid.org/0000-0003-4717-078X</orcidid><orcidid>https://orcid.org/0000-0002-1347-3785</orcidid></search><sort><creationdate>20151117</creationdate><title>Time course of the response to ACTH in pig: biological and transcriptomic study</title><author>Sautron, Valérie ; Terenina, Elena ; Gress, Laure ; Lippi, Yannick ; Billon, Yvon ; Larzul, Catherine ; Liaubet, Laurence ; Villa-Vialaneix, Nathalie ; Mormède, Pierre</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c628t-44adf52a5e22e714c2463255fd294ed246ed0d44474732529e4ec4df3502c7093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>ACTH</topic><topic>Adrenocorticotropic Hormone - pharmacology</topic><topic>Animal biology</topic><topic>Animals</topic><topic>Female</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>Homeostasis</topic><topic>Hydrocortisone</topic><topic>Hydrocortisone - blood</topic><topic>Kinetics</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Observations</topic><topic>Properties</topic><topic>Stress (Physiology)</topic><topic>Stress, Physiological - drug effects</topic><topic>Stress, Physiological - genetics</topic><topic>Swine</topic><topic>Transcriptome - drug effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sautron, Valérie</creatorcontrib><creatorcontrib>Terenina, Elena</creatorcontrib><creatorcontrib>Gress, Laure</creatorcontrib><creatorcontrib>Lippi, Yannick</creatorcontrib><creatorcontrib>Billon, Yvon</creatorcontrib><creatorcontrib>Larzul, Catherine</creatorcontrib><creatorcontrib>Liaubet, Laurence</creatorcontrib><creatorcontrib>Villa-Vialaneix, Nathalie</creatorcontrib><creatorcontrib>Mormède, Pierre</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Science in Context</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC genomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sautron, Valérie</au><au>Terenina, Elena</au><au>Gress, Laure</au><au>Lippi, Yannick</au><au>Billon, Yvon</au><au>Larzul, Catherine</au><au>Liaubet, Laurence</au><au>Villa-Vialaneix, Nathalie</au><au>Mormède, Pierre</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Time course of the response to ACTH in pig: biological and transcriptomic study</atitle><jtitle>BMC genomics</jtitle><addtitle>BMC Genomics</addtitle><date>2015-11-17</date><risdate>2015</risdate><volume>16</volume><issue>958</issue><spage>961</spage><epage>961</epage><pages>961-961</pages><artnum>961</artnum><issn>1471-2164</issn><eissn>1471-2164</eissn><abstract>HPA axis plays a major role in physiological homeostasis. It is also involved in stress and adaptive response to the environment. In farm animals in general and specifically in pigs, breeding strategies have highly favored production traits such as lean growth rate, feed efficiency and prolificacy at the cost of robustness. On the hypothesis that the HPA axis could contribute to the trade-off between robustness and production traits, we have designed this experiment to explore individual variation in the biological response to the main stress hormone, cortisol, in pigs. We used ACTH injections to trigger production of cortisol in 120 juvenile Large White (LW) pigs from 28 litters and the kinetics of the response was measured with biological variables and whole blood gene expression at 4 time points. A multilevel statistical analysis was used to take into account the longitudinal aspect of the data.
Cortisol level reached its peak 1 h after ACTH injection. White blood cell composition was modified with a decrease of lymphocytes and monocytes and an increase of granulocytes (F D R<0.05). Basal level of cortisol was correlated with birth and weaning weights. Microarray analysis identified 65 unique genes of which expression responded to the injection of ACTH (adjusted P<0.05). These genes were classified into 4 clusters with distinctive kinetics in response to ACTH injection. The first cluster identified genes strongly correlated to cortisol and previously reported as being regulated by glucocorticoids. In particular, DDIT4, DUSP1, FKBP5, IL7R, NFKBIA, PER1, RGS2 and RHOB were shown to be connected to each other by the glucocorticoid receptor NR3C1. Most of the differentially expressed genes that encode transcription factors have not been described yet as being important in transcription networks involved in stress response. Their co-expression may mean co-regulation and they could thus provide new patterns of biomarkers of the individual sensitivity to cortisol.
We identified 65 genes as biological markers of HPA axis activation at the gene expression level. These genes might be candidates for a better understanding of the molecular mechanisms of the stress response.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26578410</pmid><doi>10.1186/s12864-015-2118-8</doi><tpages>1</tpages><orcidid>https://orcid.org/0009-0009-3578-7003</orcidid><orcidid>https://orcid.org/0000-0002-0533-331X</orcidid><orcidid>https://orcid.org/0000-0003-0201-0264</orcidid><orcidid>https://orcid.org/0000-0003-1156-0639</orcidid><orcidid>https://orcid.org/0000-0003-0345-1432</orcidid><orcidid>https://orcid.org/0000-0003-4717-078X</orcidid><orcidid>https://orcid.org/0000-0002-1347-3785</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | ACTH Adrenocorticotropic Hormone - pharmacology Animal biology Animals Female Gene expression Genetic aspects Homeostasis Hydrocortisone Hydrocortisone - blood Kinetics Life Sciences Male Observations Properties Stress (Physiology) Stress, Physiological - drug effects Stress, Physiological - genetics Swine Transcriptome - drug effects |
title | Time course of the response to ACTH in pig: biological and transcriptomic study |
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