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1000 Titel
  • Deep phenotyping reveals CRH and FKBP51-dependent behavioral profiles following chronic social stress exposure in male mice
1000 Autor/in
  1. Kovarova, Veronika |
  2. Bordes, Joeri |
  3. Mitra, Shiladitya |
  4. Narayan, Sowmya |
  5. Springer, Margherita |
  6. Brix, Lea Maria |
  7. Deussing, Jan |
  8. Schmidt, Mathias |
1000 Verlag Springer International Publishing
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-10-22
1000 Erschienen in
1000 Quellenangabe
  • 50(3):556-567
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41386-024-02008-9 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11736030/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title> <jats:p>The co-chaperone FKBP51, encoded by <jats:italic>FKBP5</jats:italic> gene, is recognized as a psychiatric risk factor for anxiety and depressive disorders due to its crucial role in the stress response. Another key modulator in stress response regulation is the corticotropin releasing hormone (CRH), which is co-expressed with FKBP51 in many stress-relevant brain-regions and cell-types. Together, they intricately influence the balance of the hypothalamic-pituitary-adrenal (HPA) axis, one of the primary stress response systems. Previous research underscores the potential moderating effects these genes have on the regulation of the stressful life events towards the vulnerability of major depressive disorder (MDD). However, the specific function of FKBP51 in CRH-expressing neurons remains largely unexplored. Here, through deep behavioral phenotyping, we reveal heightened stress effects in mice lacking FKBP51 in CRH co-expressing neurons (<jats:italic>CRH</jats:italic> <jats:sup> <jats:italic>FKBP5−/−</jats:italic> </jats:sup>), particularly evident in social contexts. Our findings highlight the importance of considering cell-type specificity and context in comprehending stress responses and advocate for the utilization of machine-learning-driven phenotyping of mouse models. By elucidating these intricacies, we lay down the groundwork for personalized interventions aimed at enhancing stress resilience and individual well-being.</jats:p>
1000 Sacherschließung
lokal Stress, Psychological/genetics [MeSH]
lokal Corticotropin-Releasing Hormone/genetics [MeSH]
lokal Mice, Inbred C57BL [MeSH]
lokal Behavior, Animal/physiology [MeSH]
lokal Neurons/metabolism [MeSH]
lokal Animals [MeSH]
lokal Tacrolimus Binding Proteins/metabolism [MeSH]
lokal Corticotropin-Releasing Hormone/metabolism [MeSH]
lokal Mice, Knockout [MeSH]
lokal Social Behavior [MeSH]
lokal /631/378/1831
lokal Mice [MeSH]
lokal Article
lokal Stress, Psychological/physiopathology [MeSH]
lokal Male [MeSH]
lokal Tacrolimus Binding Proteins/genetics [MeSH]
lokal Stress, Psychological/metabolism [MeSH]
lokal Phenotype [MeSH]
lokal /631/378/1457/1601
lokal Disease Models, Animal [MeSH]
lokal Pituitary-Adrenal System/metabolism [MeSH]
lokal article
lokal Hypothalamo-Hypophyseal System/metabolism [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/S292YXJvdmEsIFZlcm9uaWth|https://orcid.org/0000-0003-2909-2976|https://frl.publisso.de/adhoc/uri/TWl0cmEsIFNoaWxhZGl0eWE=|https://frl.publisso.de/adhoc/uri/TmFyYXlhbiwgU293bXlh|https://frl.publisso.de/adhoc/uri/U3ByaW5nZXIsIE1hcmdoZXJpdGE=|https://frl.publisso.de/adhoc/uri/QnJpeCwgTGVhIE1hcmlh|https://orcid.org/0000-0002-9329-5252|https://orcid.org/0000-0002-3788-2268
1000 Hinweis
  • DeepGreen-ID: 97cc947edc1547bcb68ec356825985ae ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Deutsche Forschungsgemeinschaft |
  2. Horizon 2020 Framework Programme |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutsche Forschungsgemeinschaft |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 Framework Programme |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6519943.rdf
1000 Erstellt am 2025-07-05T21:33:14.613+0200
1000 Erstellt von 322
1000 beschreibt frl:6519943
1000 Zuletzt bearbeitet 2025-08-08T13:25:48.538+0200
1000 Objekt bearb. Fri Aug 08 13:25:48 CEST 2025
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1000 Oai Id
  1. oai:frl.publisso.de:frl:6519943 |
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