Literature DB >> 33544274

The Characterization of Sex Differences in Hypoglycemia-Induced Activation of HPA Axis on the Transcriptomic Level.

Serpil Taheri1,2, Zuleyha Karaca3, Minoo Rassoulzadegan4, Ecmel Mehmetbeyoglu5, Gokmen Zararsiz6, Elif Funda Sener1,2, Kezban Korkmaz Bayram1, Esra Tufan1, Mustafa Caglar Sahin1, Mert Kahraman Marasli1, Mehmet Memis1, Halit Canatan2, Figen Ozturk7, Fatih Tanriverdi3, Kursad Unluhizarci3, Fahrettin Kelestimur8.   

Abstract

Activation of the hypothalamic-pituitary-adrenal (HPA) axis using an insulin tolerance test (ITT) is a medical diagnostic procedure that is frequently used in humans to assess the HPA and growth-hormone (GH) axes. Whether sex differences exist in the response to ITT stress is unknown. Thus, investigations into the analysis of transcripts during activation of the HPA axis in response to hypoglycemia have revealed the underlying influences of sex in signaling pathways that stimulate the HPA axis. We assessed four time points of ITT application in Balb/c mice. After insulin injection, expression levels of 192 microRNAs and 41 mRNAs associated with the HPA, GH and hypothalamic-pituitary-gonadal (HPG) axes were determined by real-time RT-PCR in the hypothalamus, pituitary and adrenal tissues, as well as blood samples (Raw data accession: https://drive.google.com/drive/folders/10qI00NAtjxOepcNKxSJnQbJeBFa6zgHK?usp=sharing ). Although the ITT is commonly used as a gold standard for evaluating the HPA axis, we found completely different responses between males and females with respect to activation of the HPA axis. While activation of several transcripts in the hypothalamus and pituitary was observed after performing the ITT in males within 10 min, females responded via the pituitary and adrenal immediately and durably over 40 min. Additionally, we found that microRNA alterations precede mRNA responses in the HPA axis. Furthermore, robust changes in the levels of several transcripts including Avpr1b and Avpr2 observed at all time points strongly suggest that transcriptional control of these genes occurs mostly via differential signaling in pituitary and blood between males and females. Male and female HPA axis responses to ITT involve a number of sophisticated regulatory signaling pathways of miRNAs and mRNAs. Our results highlight the first robust markers in several layers of HPA, HPG and GH axis involved in ITT/hypoglycemia stress-induced dynamics.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.

Entities:  

Keywords:  Growth hormone (GH) axis; Hypothalamic–pituitary–adrenal (HPA) axis; Hypothalamic–pituitary–gonadal (HPG) axis; Insulin tolerance test (ITT); Mice; Sex differences; Transcript profile; miRNAs

Mesh:

Substances:

Year:  2021        PMID: 33544274     DOI: 10.1007/s10571-021-01043-0

Source DB:  PubMed          Journal:  Cell Mol Neurobiol        ISSN: 0272-4340            Impact factor:   5.046


  49 in total

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Authors:  K P Briski; Md Haider Ali; Prabhat R Napit
Journal:  J Chem Neuroanat       Date:  2020-06-26       Impact factor: 3.052

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Journal:  J Mol Endocrinol       Date:  2016-01-20       Impact factor: 5.098

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Authors:  Kathan Chintamaneni; Eric D Bruder; Hershel Raff
Journal:  Endocrinology       Date:  2014-02-24       Impact factor: 4.736

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Journal:  J Clin Endocrinol Metab       Date:  1999-03       Impact factor: 5.958

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Journal:  J Clin Endocrinol Metab       Date:  2000-10       Impact factor: 5.958

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Authors:  E Erturk; C A Jaffe; A L Barkan
Journal:  J Clin Endocrinol Metab       Date:  1998-07       Impact factor: 5.958

8.  Incremental Value of Circulating MiR-122-5p to Predict Outcome after Out of Hospital Cardiac Arrest.

Authors:  Yvan Devaux; Antonio Salgado-Somoza; Josef Dankiewicz; Adeline Boileau; Pascal Stammet; Anna Schritz; Lu Zhang; Mélanie Vausort; Patrik Gilje; David Erlinge; Christian Hassager; Matthew P Wise; Michael Kuiper; Hans Friberg; Niklas Nielsen
Journal:  Theranostics       Date:  2017-06-25       Impact factor: 11.556

9.  Methods to determine limit of detection and limit of quantification in quantitative real-time PCR (qPCR).

Authors:  Amin Forootan; Robert Sjöback; Jens Björkman; Björn Sjögreen; Lucas Linz; Mikael Kubista
Journal:  Biomol Detect Quantif       Date:  2017-04-29

10.  The microRNA.org resource: targets and expression.

Authors:  Doron Betel; Manda Wilson; Aaron Gabow; Debora S Marks; Chris Sander
Journal:  Nucleic Acids Res       Date:  2007-12-23       Impact factor: 16.971

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