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Nagpal J, Eachus H, Lityagina O, Ryu S. Optogenetic induction of chronic glucocorticoid exposure in early-life leads to blunted stress-response in larval zebrafish. Eur J Neurosci 2024. [PMID: 38602078 DOI: 10.1111/ejn.16301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 11/29/2023] [Accepted: 02/19/2024] [Indexed: 04/12/2024]
Abstract
Early life stress (ELS) exposure alters stress susceptibility in later life and affects vulnerability to stress-related disorders, but how ELS changes the long-lasting responsiveness of the stress system is not well understood. Zebrafish provides an opportunity to study conserved mechanisms underlying the development and function of the stress response that is regulated largely by the neuroendocrine hypothalamus-pituitary-adrenal/interrenal (HPA/I) axis, with glucocorticoids (GC) as the final effector. In this study, we established a method to chronically elevate endogenous GC levels during early life in larval zebrafish. To this end, we employed an optogenetic actuator, beggiatoa photoactivated adenylyl cyclase, specifically expressed in the interrenal cells of zebrafish and demonstrate that its chronic activation leads to hypercortisolaemia and dampens the acute-stress evoked cortisol levels, across a variety of stressor modalities during early life. This blunting of stress-response was conserved in ontogeny at a later developmental stage. Furthermore, we observe a strong reduction of proopiomelanocortin (pomc)-expression in the pituitary as well as upregulation of fkbp5 gene expression. Going forward, we propose that this model can be leveraged to tease apart the mechanisms underlying developmental programming of the HPA/I axis by early-life GC exposure and its implications for vulnerability and resilience to stress in adulthood.
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Affiliation(s)
- Jatin Nagpal
- University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
- APC Microbiome Ireland and School of Pharmacy and Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Helen Eachus
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Olga Lityagina
- University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
- Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Soojin Ryu
- University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
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2
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Wang Q, Wang X, Liu B, Ma S, Zhang F, Sun S, Jing Y, Fan Y, Ding Y, Xiong M, Li J, Zhai Q, Zheng Y, Liu C, Xu G, Yang J, Wang S, Ye J, Izpisua Belmonte JC, Qu J, Liu GH, Zhang W. Aging induces region-specific dysregulation of hormone synthesis in the primate adrenal gland. Nat Aging 2024; 4:396-413. [PMID: 38503993 DOI: 10.1038/s43587-024-00588-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 02/05/2024] [Indexed: 03/21/2024]
Abstract
Adrenal glands, vital for steroid secretion and the regulation of metabolism, stress responses and immune activation, experience age-related decline, impacting systemic health. However, the regulatory mechanisms underlying adrenal aging remain largely uninvestigated. Here we established a single-nucleus transcriptomic atlas of both young and aged primate suprarenal glands, identifying lipid metabolism and steroidogenic pathways as core processes impacted by aging. We found dysregulation in centripetal adrenocortical differentiation in aged adrenal tissues and cells in the zona reticularis region, responsible for producing dehydroepiandrosterone sulfate (DHEA-S), were highly susceptible to aging, reflected by senescence, exhaustion and disturbed hormone production. Remarkably, LDLR was downregulated in all cell types of the outer cortex, and its targeted inactivation in human adrenal cells compromised cholesterol uptake and secretion of dehydroepiandrosterone sulfate, as observed in aged primate adrenal glands. Our study provides crucial insights into endocrine physiology, holding therapeutic promise for addressing aging-related adrenal insufficiency and delaying systemic aging.
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Affiliation(s)
- Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xuebao Wang
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Beibei Liu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Shuai Ma
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Feng Zhang
- Division of Endocrinology, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China
| | - Shuhui Sun
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yaobin Jing
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- International Center for Aging and Cancer, Hainan Medical University, Haikou, China
| | - Yanling Fan
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Muzhao Xiong
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qiaocheng Zhai
- Division of Endocrinology, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China
| | - Yandong Zheng
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Chengyu Liu
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China
| | - Gang Xu
- Liver Transplant Center, Organ Transplant Center, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Liver Transplantation, Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital of Sichuan University, Chengdu, China
| | - Jiayin Yang
- Liver Transplant Center, Organ Transplant Center, West China Hospital of Sichuan University, Chengdu, China
- Laboratory of Liver Transplantation, Key Laboratory of Transplant Engineering and Immunology, NHC, West China Hospital of Sichuan University, Chengdu, China
| | - Si Wang
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China
- The Fifth People's Hospital of Chongqing, Chongqing, China
- Aging Biomarker Consortium, Beijing, China
| | - Jinlin Ye
- The Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China
| | | | - Jing Qu
- University of Chinese Academy of Sciences, Beijing, China.
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
- Aging Biomarker Consortium, Beijing, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Organ Regeneration and Reconstruction, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, China.
- Aging Biomarker Consortium, Beijing, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China.
- Aging Biomarker Consortium, Beijing, China.
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Xue Y, Xu P, Hu Y, Liu S, Yan R, Liu S, Li Y, Liu J, Fu T, Li Z. Stress systems exacerbate the inflammatory response after corneal abrasion in sleep-deprived mice via the IL-17 signaling pathway. Mucosal Immunol 2024:S1933-0219(24)00018-7. [PMID: 38428739 DOI: 10.1016/j.mucimm.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/03/2024]
Abstract
Sleep deprivation (SD) has a wide range of adverse health effects. However, the mechanisms by which SD influences corneal pathophysiology and its post-wound healing remain unclear. This study aimed to examine the basic physiological characteristics of the cornea in mice subjected to SD and determine the pathophysiological response to injury after corneal abrasion. Using a multi-platform water environment method as an SD model, we found that SD leads to disturbances of corneal proliferative, sensory, and immune homeostasis as well as excessive inflammatory response and delayed repair after corneal abrasion by inducing hyperactivation of the sympathetic nervous system and hypothalamic-pituitary-adrenal axis. Pathophysiological changes in the cornea mainly occurred through the activation of the IL-17 signaling pathway. Blocking both adrenergic and glucocorticoid synthesis and locally neutralizing IL-17A significantly improved corneal homeostasis and the excessive inflammatory response and delay in wound repair following corneal injury in SD-treated mice. These results indicate that optimal sleep quality is essential for the physiological homeostasis of the cornea and its well-established repair process after injury. Additionally, these observations provide potential therapeutic targets to ameliorate SD-induced delays in corneal wound repair by inhibiting or blocking the activation of the stress system and its associated IL-17 signaling pathway.
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Affiliation(s)
- Yunxia Xue
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Pengyang Xu
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China; Department of Pathology, Nanyang Second General Hospital, Nanyang City, Henan, China
| | - Yu Hu
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China
| | - Sijing Liu
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ruyu Yan
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Shutong Liu
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China
| | - Yan Li
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jun Liu
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Ting Fu
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhijie Li
- International Ocular Surface Research Center, Institute of Ophthalmology and Key Laboratory for Regenerative Medicine, Jinan University Medical School, Guangzhou, China; Department of Ophthalmology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
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Harkany T, Tretiakov E, Varela L, Jarc J, Rebernik P, Newbold S, Keimpema E, Verkhratsky A, Horvath T, Romanov R. Molecularly stratified hypothalamic astrocytes are cellular foci for obesity. Res Sq 2024:rs.3.rs-3748581. [PMID: 38405925 PMCID: PMC10889077 DOI: 10.21203/rs.3.rs-3748581/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Astrocytes safeguard the homeostasis of the central nervous system1,2. Despite their prominent morphological plasticity under conditions that challenge the brain's adaptive capacity3-5, the classification of astrocytes, and relating their molecular make-up to spatially devolved neuronal operations that specify behavior or metabolism, remained mostly futile6,7. Although it seems unexpected in the era of single-cell biology, the lack of a major advance in stratifying astrocytes under physiological conditions rests on the incompatibility of 'neurocentric' algorithms that rely on stable developmental endpoints, lifelong transcriptional, neurotransmitter, and neuropeptide signatures for classification6-8 with the dynamic functional states, anatomic allocation, and allostatic plasticity of astrocytes1. Simplistically, therefore, astrocytes are still grouped as 'resting' vs. 'reactive', the latter referring to pathological states marked by various inducible genes3,9,10. Here, we introduced a machine learning-based feature recognition algorithm that benefits from the cumulative power of published single-cell RNA-seq data on astrocytes as a reference map to stepwise eliminate pleiotropic and inducible cellular features. For the healthy hypothalamus, this walk-back approach revealed gene regulatory networks (GRNs) that specified subsets of astrocytes, and could be used as landmarking tools for their anatomical assignment. The core molecular censuses retained by astrocyte subsets were sufficient to stratify them by allostatic competence, chiefly their signaling and metabolic interplay with neurons. Particularly, we found differentially expressed mitochondrial genes in insulin-sensing astrocytes and demonstrated their reciprocal signaling with neurons that work antagonistically within the food intake circuitry. As a proof-of-concept, we showed that disrupting Mfn2 expression in astrocytes reduced their ability to support dynamic circuit reorganization, a time-locked feature of satiety in the hypothalamus, thus leading to obesity in mice. Overall, our results suggest that astrocytes in the healthy brain are fundamentally more heterogeneous than previously thought and topologically mirror the specificity of local neurocircuits.
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Affiliation(s)
- Tibor Harkany
- Center for Brain Research, Medical University of Vienna
| | | | | | - Jasna Jarc
- Center for Brain Research, Medical University of Vienna
| | | | | | - Erik Keimpema
- Medical University of Vienna, Center for Brain Research
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5
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Berkhout JB, Poormoghadam D, Yi C, Kalsbeek A, Meijer OC, Mahfouz A. An integrated single-cell RNA-seq atlas of the mouse hypothalamic paraventricular nucleus links transcriptomic and functional types. J Neuroendocrinol 2024; 36:e13367. [PMID: 38281730 DOI: 10.1111/jne.13367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 11/30/2023] [Accepted: 12/30/2023] [Indexed: 01/30/2024]
Abstract
The hypothalamic paraventricular nucleus (PVN) is a highly complex brain region that is crucial for homeostatic regulation through neuroendocrine signaling, outflow of the autonomic nervous system, and projections to other brain areas. In the past years, single-cell datasets of the hypothalamus have contributed immensely to the current understanding of the diverse hypothalamic cellular composition. While the PVN has been adequately classified functionally, its molecular classification is currently still insufficient. To address this, we created a detailed atlas of PVN transcriptomic cell types by integrating various PVN single-cell datasets into a recently published hypothalamus single-cell transcriptome atlas. Furthermore, we functionally profiled transcriptomic cell types, based on relevant literature, existing retrograde tracing data, and existing single-cell data of a PVN-projection target region. Finally, we validated our findings with immunofluorescent stainings. In our PVN atlas dataset, we identify the well-known different neuropeptide types, each composed of multiple novel subtypes. We identify Avp-Tac1, Avp-Th, Oxt-Foxp1, Crh-Nr3c1, and Trh-Nfib as the most important neuroendocrine subtypes based on markers described in literature. To characterize the preautonomic functional population, we integrated a single-cell retrograde tracing study of spinally projecting preautonomic neurons into our PVN atlas. We identify these (presympathetic) neurons to cocluster with the Adarb2+ clusters in our dataset. Further, we identify the expression of receptors for Crh, Oxt, Penk, Sst, and Trh in the dorsal motor nucleus of the vagus, a key region that the pre-parasympathetic PVN neurons project to. Finally, we identify Trh-Ucn3 and Brs3-Adarb2 as some centrally projecting populations. In conclusion, our study presents a detailed overview of the transcriptomic cell types of the murine PVN and provides a first attempt to resolve functionality for the identified populations.
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Affiliation(s)
- J B Berkhout
- Division of Endocrinology, Department of Medicine, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
| | - D Poormoghadam
- Laboratory of Endocrinology, Department of Laboratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - C Yi
- Laboratory of Endocrinology, Department of Laboratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - A Kalsbeek
- Laboratory of Endocrinology, Department of Laboratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - O C Meijer
- Division of Endocrinology, Department of Medicine, Leiden University Medical Centre, Leiden, The Netherlands
| | - A Mahfouz
- Department of Human Genetics, Leiden University Medical Centre, Leiden, The Netherlands
- Division of Pattern Recognition and Bioinformatics, Department of Intelligent Systems, Technical University Delft, Delft, The Netherlands
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Liimatta J, Curschellas E, Altinkilic EM, Naamneh Elzenaty R, Augsburger P, du Toit T, Voegel CD, Breault DT, Flück CE, Pignatti E. Adrenal Abcg1 Controls Cholesterol Flux and Steroidogenesis. Endocrinology 2024; 165:bqae014. [PMID: 38301271 PMCID: PMC10863561 DOI: 10.1210/endocr/bqae014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/14/2024] [Accepted: 01/30/2024] [Indexed: 02/03/2024]
Abstract
Cholesterol is the precursor of all steroids, but how cholesterol flux is controlled in steroidogenic tissues is poorly understood. The cholesterol exporter ABCG1 is an essential component of the reverse cholesterol pathway and its global inactivation results in neutral lipid redistribution to tissue macrophages. The function of ABCG1 in steroidogenic tissues, however, has not been explored. To model this, we inactivated Abcg1 in the mouse adrenal cortex, which led to an adrenal-specific increase in transcripts involved in cholesterol uptake and de novo synthesis. Abcg1 inactivation did not affect adrenal cholesterol content, zonation, or serum lipid profile. Instead, we observed a moderate increase in corticosterone production that was not recapitulated by the inactivation of the functionally similar cholesterol exporter Abca1. Altogether, our data imply that Abcg1 controls cholesterol uptake and biosynthesis and regulates glucocorticoid production in the adrenal cortex, introducing the possibility that ABCG1 variants may account for physiological or subclinical variation in stress response.
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Affiliation(s)
- Jani Liimatta
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, Bern 3010, Switzerland
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
- Kuopio Pediatric Research Unit (KuPRU), University of Eastern Finland and Kuopio University Hospital, Kuopio 70200, Finland
| | - Evelyn Curschellas
- Department of Chemistry, Biochemistry and Pharmacy, Medical Faculty, University of Bern, Bern 3010, Switzerland
| | - Emre Murat Altinkilic
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, Bern 3010, Switzerland
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
| | - Rawda Naamneh Elzenaty
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
| | - Philipp Augsburger
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
| | - Therina du Toit
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, Bern 3010, Switzerland
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
| | - Clarissa D Voegel
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern 3010, Switzerland
| | - David T Breault
- Department of Pediatrics, Harvard Medical School, Boston Children's Hospital, Boston, MA 02115, USA
- Harvard Stem Cell Institute, Cambridge, MA 02138, USA
| | - Christa E Flück
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, Bern 3010, Switzerland
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
| | - Emanuele Pignatti
- Division of Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics, Inselspital, Bern University Hospital, Bern 3010, Switzerland
- Department for BioMedical Research, University Hospital Inselspital, University of Bern, Bern 3010, Switzerland
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7
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Zhang Y, Feng Y, Zhao Y, Feng Y, Li M, Wang W, Ni Z, Zhu H, Wang Y. Single-cell RNA sequencing reveals that the immunosuppression landscape induced by chronic stress promotes colorectal cancer metastasis. Heliyon 2024; 10:e23552. [PMID: 38169984 PMCID: PMC10758883 DOI: 10.1016/j.heliyon.2023.e23552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024] Open
Abstract
The high prevalence of depressive disorders in individuals with cancer and their contribution to tumour progression is a topic that is gradually gaining attention. Recent evidence has shown that there are prominent connections between immune gene variants and mood disorders. The homeostasis of the tumour immune microenvironment (TIME) and the infiltration and activation of immune cells play a very important role in the antitumour effect. In this study, we established a compound mouse model with chronic unpredictable mild stress (CUMS) and orthotopic colorectal cancer to simulate colorectal cancer (CRC) patients with depression. Using 10✕Genomics single-cell transcriptome sequencing technology, we profiled nearly 30,000 cells from tumour samples of 8 mice from the control and CUMS groups, revealed that immune cells in tumours under a chronic stress state trend toward a more immunosuppressive and exhaustive status, and described the crosstalk between the overall inflammatory environment and immunosuppressive landscape to provide mechanistic information or efficacious strategies for immune-oncology treatments in CRC with depressive disorders.
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Affiliation(s)
- Yingru Zhang
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Ying Feng
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Yiyang Zhao
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Yuanyuan Feng
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Mengyao Li
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Wenkai Wang
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Zhongya Ni
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Huirong Zhu
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Yan Wang
- Department of Medical Oncology, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
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8
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Kos A, Lopez JP, Bordes J, de Donno C, Dine J, Brivio E, Karamihalev S, Luecken MD, Almeida-Correa S, Gasperoni S, Dick A, Miranda L, Büttner M, Stoffel R, Flachskamm C, Theis FJ, Schmidt MV, Chen A. Early life adversity shapes social subordination and cell type-specific transcriptomic patterning in the ventral hippocampus. Sci Adv 2023; 9:eadj3793. [PMID: 38039370 PMCID: PMC10691768 DOI: 10.1126/sciadv.adj3793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/01/2023] [Indexed: 12/03/2023]
Abstract
Adverse events in early life can modulate the response to additional stressors later in life and increase the risk of developing psychiatric disorders. The underlying molecular mechanisms responsible for these effects remain unclear. Here, we uncover that early life adversity (ELA) in mice leads to social subordination. Using single-cell RNA sequencing (scRNA-seq), we identified cell type-specific changes in the transcriptional state of glutamatergic and GABAergic neurons in the ventral hippocampus of ELA mice after exposure to acute social stress in adulthood. These findings were reflected by an alteration in excitatory and inhibitory synaptic transmission induced by ELA in response to acute social stress. Finally, enhancing the inhibitory network function through transient diazepam treatment during an early developmental sensitive period reversed the ELA-induced social subordination. Collectively, this study significantly advances our understanding of the molecular, physiological, and behavioral alterations induced by ELA, uncovering a previously unknown cell type-specific vulnerability to ELA.
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Affiliation(s)
- Aron Kos
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Juan Pablo Lopez
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Joeri Bordes
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, Munich, Germany
| | - Carlo de Donno
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Mathematics, Technische Universität München, Munich, Germany
| | - Julien Dine
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Elena Brivio
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Stoyo Karamihalev
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Malte D. Luecken
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Lung Health and Immunity, Helmholtz Munich, Munich, Germany
| | | | - Serena Gasperoni
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Alec Dick
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Lucas Miranda
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Maren Büttner
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Mathematics, Technische Universität München, Munich, Germany
| | - Rainer Stoffel
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Cornelia Flachskamm
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Fabian J. Theis
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Mathematics, Technische Universität München, Munich, Germany
| | - Mathias V. Schmidt
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, Munich, Germany
| | - Alon Chen
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
- Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot, Israel
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9
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Brivio E, Kos A, Ulivi AF, Karamihalev S, Ressle A, Stoffel R, Hirsch D, Stelzer G, Schmidt MV, Lopez JP, Chen A. Sex shapes cell-type-specific transcriptional signatures of stress exposure in the mouse hypothalamus. Cell Rep 2023; 42:112874. [PMID: 37516966 DOI: 10.1016/j.celrep.2023.112874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 05/19/2023] [Accepted: 07/11/2023] [Indexed: 08/01/2023] Open
Abstract
Stress-related psychiatric disorders and the stress system show prominent differences between males and females, as well as strongly divergent transcriptional changes. Despite several proposed mechanisms, we still lack the understanding of the molecular processes at play. Here, we explore the contribution of cell types to transcriptional sex dimorphism using single-cell RNA sequencing. We identify cell-type-specific signatures of acute restraint stress in the paraventricular nucleus of the hypothalamus, a central hub of the stress response, in male and female mice. Further, we show that a history of chronic mild stress alters these signatures in a sex-specific way, and we identify oligodendrocytes as a major target for these sex-specific effects. This dataset, which we provide as an online interactive app, offers the transcriptomes of thousands of individual cells as a molecular resource for an in-depth dissection of the interplay between cell types and sex on the mechanisms of the stress response.
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Affiliation(s)
- Elena Brivio
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany; International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804 Munich, Germany; Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Brain Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Aron Kos
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | | | - Stoyo Karamihalev
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany; International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804 Munich, Germany
| | - Andrea Ressle
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Rainer Stoffel
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Dana Hirsch
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Gil Stelzer
- Bioinformatics Unit, Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Mathias V Schmidt
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804 Munich, Germany
| | - Juan Pablo Lopez
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany; Department of Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden.
| | - Alon Chen
- Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany; Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel; Department of Brain Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
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10
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Warde KM, Smith LJ, Basham KJ. Age-related Changes in the Adrenal Cortex: Insights and Implications. J Endocr Soc 2023; 7:bvad097. [PMID: 37564884 PMCID: PMC10410302 DOI: 10.1210/jendso/bvad097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Indexed: 08/12/2023] Open
Abstract
Aging is characterized by a gradual decline in physiological function. This process affects all organs including the adrenal cortex, which normally functions to produce essential steroid hormones including mineralocorticoids, glucocorticoids, and androgens. With increasing age, features such as reduced adrenal cortex size, altered zonation, and increased myeloid immune cell infiltration substantially alter the structure and function of the adrenal cortex. Many of these hallmark features of adrenal cortex aging occur both in males and females, yet are more enhanced in males. Hormonally, a substantial reduction in adrenal androgens is a key feature of aging, which is accompanied by modest changes in aldosterone and cortisol. These hormonal changes are associated with various pathological consequences including impaired immune responses, decreased bone health, and accelerated age-related diseases. One of the most notable changes with adrenal aging is the increased incidence of adrenal tumors, which is sex dimorphic with a higher prevalence in females. Increased adrenal tumorigenesis with age is likely driven by both an increase in genetic mutations as well as remodeling of the tissue microenvironment. Novel antiaging strategies offer a promising avenue to mitigate adrenal aging and alleviate age-associated pathologies, including adrenal tumors.
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Affiliation(s)
- Kate M Warde
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Lorenzo J Smith
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Kaitlin J Basham
- Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
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11
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Bordes J, Miranda L, Reinhardt M, Narayan S, Hartmann J, Newman EL, Brix LM, van Doeselaar L, Engelhardt C, Dillmann L, Mitra S, Ressler KJ, Pütz B, Agakov F, Müller-Myhsok B, Schmidt MV. Automatically annotated motion tracking identifies a distinct social behavioral profile following chronic social defeat stress. Nat Commun 2023; 14:4319. [PMID: 37463994 PMCID: PMC10354203 DOI: 10.1038/s41467-023-40040-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 07/07/2023] [Indexed: 07/20/2023] Open
Abstract
Severe stress exposure increases the risk of stress-related disorders such as major depressive disorder (MDD). An essential characteristic of MDD is the impairment of social functioning and lack of social motivation. Chronic social defeat stress is an established animal model for MDD research, which induces a cascade of physiological and behavioral changes. Current markerless pose estimation tools allow for more complex and naturalistic behavioral tests. Here, we introduce the open-source tool DeepOF to investigate the individual and social behavioral profile in mice by providing supervised and unsupervised pipelines using DeepLabCut-annotated pose estimation data. Applying this tool to chronic social defeat in male mice, the DeepOF supervised and unsupervised pipelines detect a distinct stress-induced social behavioral pattern, which was particularly observed at the beginning of a novel social encounter and fades with time due to habituation. In addition, while the classical social avoidance task does identify the stress-induced social behavioral differences, both DeepOF behavioral pipelines provide a clearer and more detailed profile. Moreover, DeepOF aims to facilitate reproducibility and unification of behavioral classification by providing an open-source tool, which can advance the study of rodent individual and social behavior, thereby enabling biological insights and, for example, subsequent drug development for psychiatric disorders.
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Affiliation(s)
- Joeri Bordes
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Lucas Miranda
- Research Group Statistical Genetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804, Munich, Germany
| | - Maya Reinhardt
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Sowmya Narayan
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804, Munich, Germany
| | - Jakob Hartmann
- Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, MA, 02478, USA
| | - Emily L Newman
- Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, MA, 02478, USA
| | - Lea Maria Brix
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804, Munich, Germany
| | - Lotte van Doeselaar
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), 80804, Munich, Germany
| | - Clara Engelhardt
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Larissa Dillmann
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Shiladitya Mitra
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, MA, 02478, USA
| | - Benno Pütz
- Research Group Statistical Genetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany
| | - Felix Agakov
- Pharmatics Limited, Edinburgh, EH16 4UX, Scotland, UK
| | - Bertram Müller-Myhsok
- Research Group Statistical Genetics, Max Planck Institute of Psychiatry, 80804, Munich, Germany.
| | - Mathias V Schmidt
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804, Munich, Germany.
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12
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Kang Y, Laprocina K, Zheng HS, Huang CCJ. Current insight into the transient X-zone in the adrenal gland cortex. Vitam Horm 2023; 124:297-339. [PMID: 38408801 PMCID: PMC11023618 DOI: 10.1016/bs.vh.2023.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Mouse models have been widely used in the study of adrenal gland development and diseases. The X-zone is a unique structure of the mouse adrenal gland and lineage-tracing studies show that the X-zone is a remnant of the fetal adrenal cortex. Although the X-zone is considered analogous to the fetal zone in the human adrenal cortex, the functional significance of the X-zone has remained comparatively more obscure. The X-zone forms during the early postnatal stages of adrenal development and regresses later in a remarkable sexually dimorphic fashion. The formation and regression of the X-zone can be different in mice with different genetic backgrounds. Mouse models with gene mutations, hormone/chemical treatments, and/or gonadectomy can also display an aberrant development of the X-zone or alternatively a dysregulated X-zone regression. These models have shed light on the molecular mechanisms regulating the development and regression of these unique adrenocortical cells. This review paper briefly describes the development of the adrenal gland including the formation and regression processes of the X-zone. It also summarizes and lists mouse models that demonstrate different X-zone phenotypes.
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Affiliation(s)
- Yuan Kang
- Department of Anatomy, Physiology & Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Karly Laprocina
- Department of Anatomy, Physiology & Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Huifei Sophia Zheng
- Department of Anatomy, Physiology & Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States
| | - Chen-Che Jeff Huang
- Department of Anatomy, Physiology & Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
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13
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Kang S, Lee JL, Koo JH. The buffering effect of social capital for daily mental stress in an unequal society: a lesson from Seoul. Int J Equity Health 2023; 22:64. [PMID: 37032346 PMCID: PMC10084662 DOI: 10.1186/s12939-023-01875-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 03/26/2023] [Indexed: 04/11/2023] Open
Abstract
This study attempted to illustrate whether mental health deterioration could be alleviated by high social capital in an environment with high economic inequality. Daily mental stress was employed as a mental health factor when analyzing the association with economic inequality in the Seoul Survey data. Regarding social capital, community trust and altruism were included as cognitive dimensions, and participation and cooperation were included as structural dimensions in each model. The first finding showed a significantly positive relationship between economic inequality and daily stress, meaning that, like other mental health problems, daily mental stress is also high in regions with high economic inequality. Second, the slope of the daily stress increased in respondents with high social trust and participation was alleviated in an economically unequal environment. This indicates that social trust and participation have a buffering effect by moderating the slope of daily stress in societies with high inequality. Third, the buffering effect differs depending on the social capital factor. The buffering effect of trust and participation showed in an unequal environment, while the buffering effect of cooperation showed regardless of the unequal environment. In summary, social capital factors showed the effect of relieving daily mental stress in the relationship with economic inequality. Also, the buffering effect of social capital on mental health may show different aspects for each element.
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Affiliation(s)
- Sungik Kang
- Department of Urban and Regional Development, Hanyang University, Seoul, South Korea
| | - Joo-Lim Lee
- URI Urban Institute Co., Ltd, Seoul, South Korea
| | - Ja-Hoon Koo
- Department of Urban and Regional Development, Hanyang University, 222 Wangsimni-Ro, Seongdong-Gu, Seoul, 04763, South Korea.
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14
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Glazova O, Bastrich A, Deviatkin A, Onyanov N, Kaziakhmedova S, Shevkova L, Sakr N, Petrova D, Vorontsova MV, Volchkov P. Models of Congenital Adrenal Hyperplasia for Gene Therapies Testing. Int J Mol Sci 2023; 24:5365. [PMID: 36982440 PMCID: PMC10049562 DOI: 10.3390/ijms24065365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 02/26/2023] [Accepted: 03/07/2023] [Indexed: 03/14/2023] Open
Abstract
The adrenal glands are important endocrine organs that play a major role in the stress response. Some adrenal glands abnormalities are treated with hormone replacement therapy, which does not address physiological requirements. Modern technologies make it possible to develop gene therapy drugs that can completely cure diseases caused by mutations in specific genes. Congenital adrenal hyperplasia (CAH) is an example of such a potentially treatable monogenic disease. CAH is an autosomal recessive inherited disease with an overall incidence of 1:9500–1:20,000 newborns. To date, there are several promising drugs for CAH gene therapy. At the same time, it remains unclear how new approaches can be tested, as there are no models for this disease. The present review focuses on modern models for inherited adrenal gland insufficiency and their detailed characterization. In addition, the advantages and disadvantages of various pathological models are discussed, and ways of further development are suggested.
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15
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Zhang Q, Yao B, Long X, Chen Z, He M, Wu Y, Qiao N, Ma Z, Ye Z, Zhang Y, Yao S, Wang Y, Cheng H, Chen H, Ye H, Wang Y, Li Y, Chen J, Zhang Z, Guo F, Zhao Y. Single-cell sequencing identifies differentiation-related markers for molecular classification and recurrence prediction of PitNET. Cell Rep Med 2023; 4:100934. [PMID: 36754052 PMCID: PMC9975294 DOI: 10.1016/j.xcrm.2023.100934] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 11/29/2022] [Accepted: 01/13/2023] [Indexed: 02/10/2023]
Abstract
Pituitary neuroendocrine tumor (PitNET) is one of the most common intracranial tumors with variable recurrence rate. Currently, the recurrence prediction is unsatisfying and can be improved by understanding the cellular origins and differentiation status. Here, to comprehensively reveal the origin of PitNET, we perform comparative analysis of single-cell RNA sequencing data from 3 anterior pituitary glands and 21 PitNETs. We identify distinct genes representing major subtypes of well and poorly differentiated PitNETs in each lineage. To further verify the predictive value of differentiation biomarkers, we include an independent cohort of 800 patients with an average follow-up of 7.2 years. In both PIT1 and TPIT lineages, poorly differentiated groups show significantly higher recurrence rates while well-differentiated groups show higher recurrence rates in SF1 lineage. Our findings reveal the possible origin and differentiation status of PitNET based on which new differentiation classification is proposed and verified to predict tumor recurrence.
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Affiliation(s)
- Qilin Zhang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Boyuan Yao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Xin Long
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhengyuan Chen
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Min He
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
| | - Yue Wu
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Radiology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Nidan Qiao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Zengyi Ma
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Zhao Ye
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Yichao Zhang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Shun Yao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Ye Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Haixia Cheng
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Hong Chen
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Pathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Hongying Ye
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
| | - Yongfei Wang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China
| | - Yimin Li
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianhua Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zhaoyun Zhang
- National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai, China.
| | - Fan Guo
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China; Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Yao Zhao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; National Center for Neurological Disorders, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai 200040, China; Neurosurgical Institute of Fudan University, Shanghai 200040, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China; Shanghai Clinical Medical Center of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China.
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16
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Meijer OC, Buurstede JC, Viho EMG, Amaya JM, Koning ASCAM, van der Meulen M, van Weert LTCM, Paul SN, Kroon J, Koorneef LL. Transcriptional glucocorticoid effects in the brain: Finding the relevant target genes. J Neuroendocrinol 2023; 35:e13213. [PMID: 36426812 DOI: 10.1111/jne.13213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 10/25/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022]
Abstract
Glucocorticoids are powerful modulators of brain function. They act via mineralocorticoid and glucocorticoid receptors (MR and GR). These are best understood as transcription factors. Although many glucocorticoid effects depend on the modulation of gene transcription, it is a major challenge to link gene expression to function given the large-scale, apparently pleiotropic genomic responses. The extensive sets of MR and GR target genes are highly specific per cell type, and the brain contains many different (neuronal and non-neuronal) cell types. Next to the set "trait" of cellular context, the "state" of other active signaling pathways will affect MR and GR transcriptional activity. Here, we discuss receptor specificity and contextual factors that determine the transcriptional outcome of MR/GR signaling, experimental possibilities offered by single-cell transcriptomics approaches, and reflect on how to make sense of lists of target genes in relation to understanding the functional effects of steroid receptor activation.
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Affiliation(s)
- Onno C Meijer
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Jacobus C Buurstede
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Eva M G Viho
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Jorge Miguel Amaya
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Anne-Sophie C A M Koning
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Merel van der Meulen
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Lisa T C M van Weert
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Susana N Paul
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Jan Kroon
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Lisa L Koorneef
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
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17
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Fletcher PA, Smiljanic K, Prévide RM, Constantin S, Sherman AS, Coon SL, Stojilkovic SS. The astroglial and stem cell functions of adult rat folliculostellate cells. Glia 2023; 71:205-228. [PMID: 36093576 PMCID: PMC9772113 DOI: 10.1002/glia.24267] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 08/09/2022] [Accepted: 08/17/2022] [Indexed: 02/06/2023]
Abstract
The mammalian pituitary gland is a complex organ consisting of hormone-producing cells, anterior lobe folliculostellate cells (FSCs), posterior lobe pituicytes, vascular pericytes and endothelial cells, and Sox2-expressing stem cells. We present single-cell RNA sequencing and immunohistofluorescence analyses of pituitary cells of adult female rats with a focus on the transcriptomic profiles of nonhormonal cell types. Samples obtained from whole pituitaries and separated anterior and posterior lobe cells contained all expected pituitary resident cell types and lobe-specific vascular cell subpopulations. FSCs and pituicytes expressed S100B, ALDOC, EAAT1, ALDH1A1, and VIM genes and proteins, as well as other astroglial marker genes, some common and some cell type-specific. We also found that the SOX2 gene and protein were expressed in ~15% of pituitary cells, including FSCs, pituicytes, and a fraction of hormone-producing cells, arguing against its stem cell specificity. FSCs comprised two Sox2-expressing subclusters; FS1 contained more cells but lower genetic diversity, while FS2 contained proliferative cells, shared genes with hormone-producing cells, and expressed genes consistent with stem cell niche formation, regulation of cell proliferation and stem cell pluripotency, including the Hippo and Wnt pathways. FS1 cells were randomly distributed in the anterior and intermediate lobes, while FS2 cells were localized exclusively in the marginal zone between the anterior and intermediate lobes. These data indicate the identity of the FSCs as anterior pituitary-specific astroglia, with FS1 cells representing differentiated cells equipped for classical FSC roles and FS2 cells exhibiting additional stem cell-like features.
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Affiliation(s)
- Patrick A. Fletcher
- Laboratory of Biological Modeling, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health (NIH), Bethesda, MD 20892
| | - Kosara Smiljanic
- Section on Cellular Signaling, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH), Bethesda, MD 20892
| | - Rafael M. Prévide
- Section on Cellular Signaling, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH), Bethesda, MD 20892
| | - Stephanie Constantin
- Section on Cellular Signaling, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH), Bethesda, MD 20892
| | - Arthur S. Sherman
- Laboratory of Biological Modeling, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health (NIH), Bethesda, MD 20892
| | - Steven L. Coon
- Molecular Genomics Core, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH), Bethesda, MD, 20892
| | - Stanko S. Stojilkovic
- Section on Cellular Signaling, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NIH), Bethesda, MD 20892
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Zheng HS, Kang Y, Lyu Q, Junghans K, Cleary C, Reid O, Cauthen G, Laprocina K, Huang CJ. DHCR24, a Key Enzyme of Cholesterol Synthesis, Serves as a Marker Gene of the Mouse Adrenal Gland Inner Cortex. Int J Mol Sci 2023; 24. [PMID: 36674444 DOI: 10.3390/ijms24020933] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 12/02/2022] [Accepted: 12/13/2022] [Indexed: 01/06/2023] Open
Abstract
Steroid hormones are synthesized through enzymatic reactions using cholesterol as the substrate. In steroidogenic cells, the required cholesterol for steroidogenesis can be obtained from blood circulation or synthesized de novo from acetate. One of the key enzymes that control cholesterol synthesis is 24-dehydrocholesterol reductase (encoded by DHCR24). In humans and rats, DHCR24 is highly expressed in the adrenal gland, especially in the zona fasciculata. We recently reported that DHCR24 was expressed in the mouse adrenal gland's inner cortex and also found that thyroid hormone treatment significantly upregulated the expression of Dhcr24 in the mouse adrenal gland. In the present study, we showed the cellular expression of DHCR24 in mouse adrenal glands in early postnatal stages. We found that the expression pattern of DHCR24 was similar to the X-zone marker gene 20αHSD in most developmental stages. This finding indicates that most steroidogenic adrenocortical cells in the mouse adrenal gland do not synthesize cholesterol locally. Unlike the 20αHSD-positive X-zone regresses during pregnancy, some DHCR24-positive cells remain present in parous females. Conditional knockout mice showed that the removal of Dhcr24 in steroidogenic cells did not affect the overall development of the adrenal gland or the secretion of corticosterone under acute stress. Whether DHCR24 plays a role in conditions where a continuous high amount of corticosterone production is needed requires further investigation.
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Miranda L, Bordes J, Gasperoni S, Lopez JP. Increasing resolution in stress neurobiology: from single cells to complex group behaviors. Stress 2023; 26:2186141. [PMID: 36855966 DOI: 10.1080/10253890.2023.2186141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2023] Open
Abstract
Stress can have severe psychological and physiological consequences. Thus, inappropriate regulation of the stress response is linked to the etiology of mood and anxiety disorders. The generation and implementation of preclinical animal models represent valuable tools to explore and characterize the mechanisms underlying the pathophysiology of stress-related psychiatric disorders and the development of novel pharmacological strategies. In this commentary, we discuss the strengths and limitations of state-of-the-art molecular and computational advances employed in stress neurobiology research, with a focus on the ever-increasing spatiotemporal resolution in cell biology and behavioral science. Finally, we share our perspective on future directions in the fields of preclinical and human stress research.
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Affiliation(s)
- Lucas Miranda
- Department of Statistical Genetics, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Joeri Bordes
- Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, Munich, Germany
| | - Serena Gasperoni
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Juan Pablo Lopez
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
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20
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Dufour D, Dumontet T, Sahut-Barnola I, Carusi A, Onzon M, Pussard E, Wilmouth JJ, Olabe J, Lucas C, Levasseur A, Damon-Soubeyrand C, Pointud JC, Roucher-Boulez F, Tauveron I, Bossis G, Yeh ET, Breault DT, Val P, Lefrançois-Martinez AM, Martinez A. Loss of SUMO-specific protease 2 causes isolated glucocorticoid deficiency by blocking adrenal cortex zonal transdifferentiation in mice. Nat Commun 2022; 13:7858. [PMID: 36543805 PMCID: PMC9772323 DOI: 10.1038/s41467-022-35526-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022] Open
Abstract
SUMOylation is a dynamic posttranslational modification, that provides fine-tuning of protein function involved in the cellular response to stress, differentiation, and tissue development. In the adrenal cortex, an emblematic endocrine organ that mediates adaptation to physiological demands, the SUMOylation gradient is inversely correlated with the gradient of cellular differentiation raising important questions about its role in functional zonation and the response to stress. Considering that SUMO-specific protease 2 (SENP2), a deSUMOylating enzyme, is upregulated by Adrenocorticotropic Hormone (ACTH)/cAMP-dependent Protein Kinase (PKA) signalling within the zona fasciculata, we generated mice with adrenal-specific Senp2 loss to address these questions. Disruption of SENP2 activity in steroidogenic cells leads to specific hypoplasia of the zona fasciculata, a blunted reponse to ACTH and isolated glucocorticoid deficiency. Mechanistically, overSUMOylation resulting from SENP2 loss shifts the balance between ACTH/PKA and WNT/β-catenin signalling leading to repression of PKA activity and ectopic activation of β-catenin. At the cellular level, this blocks transdifferentiation of β-catenin-positive zona glomerulosa cells into fasciculata cells and sensitises them to premature apoptosis. Our findings indicate that the SUMO pathway is critical for adrenal homeostasis and stress responsiveness.
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Affiliation(s)
- Damien Dufour
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Typhanie Dumontet
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France ,grid.214458.e0000000086837370Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI USA ,grid.214458.e0000000086837370Training Program in Organogenesis, Center for Cell Plasticity and Organ Design, University of Michigan, Ann Arbor, MI USA
| | - Isabelle Sahut-Barnola
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Aude Carusi
- grid.4444.00000 0001 2112 9282IGMM, Université de Montpellier, CNRS, Montpellier, France
| | - Méline Onzon
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Eric Pussard
- grid.460789.40000 0004 4910 6535Service de Génétique Moléculaire, Pharmacogénétique et Hormonologie, Hôpital de Bicêtre, Assistance Publique-Hôpitaux de Paris (APHP), Physiologie et Physiopathologie Endocriniennes, INSERM, Université Paris-Saclay, Le Kremlin-Bicêtre, France
| | - James Jr Wilmouth
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Julie Olabe
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Cécily Lucas
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France ,grid.7849.20000 0001 2150 7757Endocrinologie Moléculaire et Maladies Rares, Centre Hospitalier Universitaire, Université Claude Bernard Lyon 1, Bron, France
| | - Adrien Levasseur
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Christelle Damon-Soubeyrand
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Jean-Christophe Pointud
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Florence Roucher-Boulez
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France ,grid.7849.20000 0001 2150 7757Endocrinologie Moléculaire et Maladies Rares, Centre Hospitalier Universitaire, Université Claude Bernard Lyon 1, Bron, France
| | - Igor Tauveron
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France ,grid.494717.80000000115480420Service d’Endocrinologie, Centre Hospitalier Universitaire Gabriel Montpied, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Guillaume Bossis
- grid.4444.00000 0001 2112 9282IGMM, Université de Montpellier, CNRS, Montpellier, France
| | - Edward T. Yeh
- grid.241054.60000 0004 4687 1637Department of Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, AR USA
| | - David T. Breault
- grid.38142.3c000000041936754XDivision of Endocrinology, Boston Children’s Hospital, Department of Pediatrics, Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XHarvard Stem Cell Institute, Harvard University, Cambridge, MA USA
| | - Pierre Val
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Anne-Marie Lefrançois-Martinez
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
| | - Antoine Martinez
- grid.494717.80000000115480420institut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont–Ferrand, F-63000 France
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21
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Issler O, van der Zee YY, Ramakrishnan A, Xia S, Zinsmaier AK, Tan C, Li W, Browne CJ, Walker DM, Salery M, Torres-Berrío A, Futamura R, Duffy JE, Labonte B, Girgenti MJ, Tamminga CA, Dupree JL, Dong Y, Murrough JW, Shen L, Nestler EJ. The long noncoding RNA FEDORA is a cell type- and sex-specific regulator of depression. Sci Adv 2022; 8:eabn9494. [PMID: 36449610 PMCID: PMC9710883 DOI: 10.1126/sciadv.abn9494] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 10/12/2022] [Indexed: 05/31/2023]
Abstract
Women suffer from depression at twice the rate of men, but the underlying molecular mechanisms are poorly understood. Here, we identify marked baseline sex differences in the expression of long noncoding RNAs (lncRNAs), a class of regulatory transcripts, in human postmortem brain tissue that are profoundly lost in depression. One such human lncRNA, RP11-298D21.1 (which we termed FEDORA), is enriched in oligodendrocytes and neurons and up-regulated in the prefrontal cortex (PFC) of depressed females only. We found that virally expressing FEDORA selectively either in neurons or in oligodendrocytes of PFC promoted depression-like behavioral abnormalities in female mice only, changes associated with cell type-specific regulation of synaptic properties, myelin thickness, and gene expression. We also found that blood FEDORA levels have diagnostic implications for depressed women and are associated with clinical response to ketamine. These findings demonstrate the important role played by lncRNAs, and FEDORA in particular, in shaping the sex-specific landscape of the brain and contributing to sex differences in depression.
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Affiliation(s)
- Orna Issler
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yentl Y. van der Zee
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aarthi Ramakrishnan
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sunhui Xia
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Chunfeng Tan
- Department of Psychiatry, UT Southwestern, Dallas, TX, USA
| | - Wei Li
- Department of Psychiatry, UT Southwestern, Dallas, TX, USA
| | - Caleb J. Browne
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Deena M. Walker
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marine Salery
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Angélica Torres-Berrío
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rita Futamura
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julia E. Duffy
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Benoit Labonte
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew J. Girgenti
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Jeffrey L. Dupree
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Yan Dong
- Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA, USA
| | - James W. Murrough
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Li Shen
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Eric J. Nestler
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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22
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Walker JJ, Romanò N. Fast dynamics in the HPA axis: Insight from mathematical and experimental studies. Curr Opin Endocr Metab Res 2022; 27:100403. [PMID: 36632146 PMCID: PMC9823091 DOI: 10.1016/j.coemr.2022.100403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The activity of the hypothalamic-pituitary-adrenal (HPA) axis is characterised by complex dynamics spanning several timescales. This ranges from slow circadian rhythms in blood hormone concentration to faster ultradian pulses of hormone secretion and even more rapid oscillations in electrical and calcium activity in neuroendocrine cells of the hypothalamus and pituitary gland. Here, we focus on the system's oscillations on the short timescale. We highlight some of the mathematical modelling and experimental work that has been carried out to characterise the mechanisms regulating this highly dynamic mode of neuroendocrine signalling and discuss some future directions that may be explored to enhance understanding of HPA function.
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Affiliation(s)
- Jamie J. Walker
- Department of Mathematics and Statistics, Faculty of Environment, Science and Economy, University of Exeter, UK,Henry Wellcome Laboratories for Integrative Neuroscience and Endocrinology, University of Bristol, UK,Corresponding author: Walker, Jamie J
| | - Nicola Romanò
- Centre for Discovery Brain Sciences, University of Edinburgh, UK,Corresponding author: Romanò, Nicola twitter icon
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23
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Willis TL, Lodge EJ, Andoniadou CL, Yianni V. Cellular interactions in the pituitary stem cell niche. Cell Mol Life Sci 2022; 79:612. [PMID: 36451046 PMCID: PMC9712314 DOI: 10.1007/s00018-022-04612-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 09/27/2022] [Accepted: 10/25/2022] [Indexed: 12/03/2022]
Abstract
Stem cells in the anterior pituitary gland can give rise to all resident endocrine cells and are integral components for the appropriate development and subsequent maintenance of the organ. Located in discreet niches within the gland, stem cells are involved in bi-directional signalling with their surrounding neighbours, interactions which underpin pituitary gland homeostasis and response to organ challenge or physiological demand. In this review we highlight core signalling pathways that steer pituitary progenitors towards specific endocrine fate decisions throughout development. We further elaborate on those which are conserved in the stem cell niche postnatally, including WNT, YAP/TAZ and Notch signalling. Furthermore, we have collated a directory of single cell RNA sequencing studies carried out on pituitaries across multiple organisms, which have the potential to provide a vast database to study stem cell niche components in an unbiased manner. Reviewing published data, we highlight that stem cells are one of the main signalling hubs within the anterior pituitary. In future, coupling single cell sequencing approaches with genetic manipulation tools in vivo, will enable elucidation of how previously understudied signalling pathways function within the anterior pituitary stem cell niche.
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Affiliation(s)
- Thea L Willis
- Centre for Craniofacial and Regenerative Biology, Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK
| | - Emily J Lodge
- Centre for Craniofacial and Regenerative Biology, Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK
| | - Cynthia L Andoniadou
- Centre for Craniofacial and Regenerative Biology, Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK.
- Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
| | - Val Yianni
- Centre for Craniofacial and Regenerative Biology, Faculty of Dentistry, Oral and Craniofacial Sciences, King's College London, London, UK.
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24
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Abstract
The adrenal glands are paired endocrine organs that produce steroid hormones and catecholamines required for life. Adrenocortical carcinoma (ACC) is a rare and often fatal cancer of the peripheral domain of the gland, the adrenal cortex. Recent research in adrenal development, homeostasis, and disease have refined our understanding of the cellular and molecular programs controlling cortical growth and renewal, uncovering crucial clues into how physiologic programs are hijacked in early and late stages of malignant neoplasia. Alongside these studies, genome-wide approaches to examine adrenocortical tumors have transformed our understanding of ACC biology, and revealed that ACC is composed of distinct molecular subtypes associated with favorable, intermediate, and dismal clinical outcomes. The homogeneous transcriptional and epigenetic programs prevailing in each ACC subtype suggest likely susceptibility to any of a plethora of existing and novel targeted agents, with the caveat that therapeutic response may ultimately be limited by cancer cell plasticity. Despite enormous biomedical research advances in the last decade, the only potentially curative therapy for ACC to date is primary surgical resection, and up to 75% of patients will develop metastatic disease refractory to standard-of-care adjuvant mitotane and cytotoxic chemotherapy. A comprehensive, integrated, and current bench-to-bedside understanding of our field's investigations into adrenocortical physiology and neoplasia is crucial to developing novel clinical tools and approaches to equip the one-in-a-million patient fighting this devastating disease.
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Affiliation(s)
- Antonio Marcondes Lerario
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, Michigan 48109-2200, USA
| | - Dipika R Mohan
- Medical Scientist Training Program, University of Michigan, Ann Arbor, Michigan 48109-2200, USA
| | - Gary D Hammer
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, Michigan 48109-2200, USA
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109-2200, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan 48109-2200, USA
- Department of Cell & Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109-2200, USA
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25
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Abou Nader N, Zamberlam G, Boyer A. Transgenic Mouse Models to Study the Development and Maintenance of the Adrenal Cortex. Int J Mol Sci 2022; 23. [PMID: 36430866 DOI: 10.3390/ijms232214388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 11/09/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
The cortex of the adrenal gland is organized into concentric zones that produce distinct steroid hormones essential for body homeostasis in mammals. Mechanisms leading to the development, zonation and maintenance of the adrenal cortex are complex and have been studied since the 1800s. However, the advent of genetic manipulation and transgenic mouse models over the past 30 years has revolutionized our understanding of these mechanisms. This review lists and details the distinct Cre recombinase mouse strains available to study the adrenal cortex, and the remarkable progress total and conditional knockout mouse models have enabled us to make in our understanding of the molecular mechanisms regulating the development and maintenance of the adrenal cortex.
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26
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Wang M, Wang X, Jiang B, Zhai Y, Zheng J, Yang L, Tai X, Li Y, Fu S, Xu J, Lei X, Kuang Z, Zhang C, Bai X, Li M, Zan T, Qu S, Li Q, Zhang C. Identification of MRAP protein family as broad-spectrum GPCR modulators. Clin Transl Med 2022; 12:e1091. [PMID: 36314066 PMCID: PMC9619224 DOI: 10.1002/ctm2.1091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 10/03/2022] [Accepted: 10/05/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND The melanocortin receptor accessory proteins (MRAP1 and MRAP2) are well-known endocrine regulators for the trafficking and signalling of all five melanocortin receptors (MC1R-MC5R). The observation of MRAP2 on regulating several non-melanocortin G protein-coupled receptors (GPCRs) has been sporadically reported, whereas other endogenous GPCR partners of the MRAP protein family are largely unknown. METHODS Here, we performed single-cell transcriptome analysis and drew a fine GPCR blueprint and MRAPs-associated network of two major endocrine organs, the hypothalamus and adrenal gland at single-cell resolution. We also integrated multiple bulk RNA-seq profiles and single-cell datasets of human and mouse tissues, and narrowed down a list of 48 GPCRs with strong endogenous co-expression correlation with MRAPs. RESULTS 36 and 46 metabolic-related GPCRs were consequently identified as novel interacting partners of MRAP1 or MRAP2, respectively. MRAPs exhibited protein-protein interactions and varying pharmacological properties on the surface translocation, constitutive activities and ligand-stimulated downstream signalling of these GPCRs. Knockdown of MRAP2 expression by hypothalamic administration of adeno-associated virus (AAV) packed shRNA stimulated body weight gain in mouse model. Co-injection of corticotropinreleasing factor (CRF), the agonist of corticotropin releasing hormone receptor 1 (CRHR1), suppressed feeding behaviour in a MRAP2-dependent manner. CONCLUSIONS Collectively, our study has comprehensively elucidated the complex GPCR networks in two major endocrine organs and redefined the MRAP protein family as broad-spectrum GPCR modulators. MRAP proteins not only serve as a vital endocrine pivot on the regulation of global GPCR activities in vivo that could explain the composite physiological phenotypes of the MRAP2 null murine model but also provide us with new insights of the phenotyping investigation of GPCR-MRAP functional complexes.
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Affiliation(s)
- Meng Wang
- Department of Plastic and Reconstructive SurgeryShanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaozhu Wang
- Department of Plastic and Reconstructive SurgeryShanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Bopei Jiang
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Yue Zhai
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Jihong Zheng
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Liu Yang
- Department of Endocrinology and MetabolismNational Metabolic Management CenterShanghai Tenth People's HospitalSchool of MedicineTongji UniversityShanghaiChina
| | - Xiaolu Tai
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Yunpeng Li
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Shaliu Fu
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Jing Xu
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Xiaowei Lei
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Zhe Kuang
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Cong Zhang
- Department of Plastic and Reconstructive SurgeryShanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xuanxuan Bai
- School of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Mingyu Li
- Fujian Provincial Key Laboratory of Innovative Drug Target ResearchSchool of Pharmaceutical SciencesXiamen UniversityXiamenChina
| | - Tao Zan
- Department of Plastic and Reconstructive SurgeryShanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Shen Qu
- Department of Endocrinology and MetabolismNational Metabolic Management CenterShanghai Tenth People's HospitalSchool of MedicineTongji UniversityShanghaiChina
| | - Qingfeng Li
- Department of Plastic and Reconstructive SurgeryShanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chao Zhang
- Department of Plastic and Reconstructive SurgeryShanghai Ninth People's HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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27
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Gerstner N, Krontira AC, Cruceanu C, Roeh S, Pütz B, Sauer S, Rex-Haffner M, Schmidt MV, Binder EB, Knauer-Arloth J. DiffBrainNet: Differential analyses add new insights into the response to glucocorticoids at the level of genes, networks and brain regions. Neurobiol Stress 2022; 21:100496. [DOI: 10.1016/j.ynstr.2022.100496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/25/2022] [Accepted: 10/13/2022] [Indexed: 10/31/2022] Open
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28
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Wilmouth JJ, Olabe J, Garcia-Garcia D, Lucas C, Guiton R, Roucher-Boulez F, Dufour D, Damon-Soubeyrand C, Sahut-Barnola I, Pointud JC, Renaud Y, Levasseur A, Tauveron I, Lefrançois-Martinez AM, Martinez A, Val P. Sexually dimorphic activation of innate antitumor immunity prevents adrenocortical carcinoma development. Sci Adv 2022; 8:eadd0422. [PMID: 36240276 PMCID: PMC9565812 DOI: 10.1126/sciadv.add0422] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/25/2022] [Indexed: 05/31/2023]
Abstract
Unlike most cancers, adrenocortical carcinomas (ACCs) are more frequent in women than in men, but the underlying mechanisms of this sexual dimorphism remain elusive. Here, we show that inactivation of Znrf3 in the mouse adrenal cortex, recapitulating the most frequent alteration in ACC patients, is associated with sexually dimorphic tumor progression. Although female knockouts develop metastatic carcinomas at 18 months, adrenal hyperplasia regresses in male knockouts. This male-specific phenotype is associated with androgen-dependent induction of senescence, recruitment, and differentiation of highly phagocytic macrophages that clear out senescent cells. In contrast, in females, macrophage recruitment is delayed and dampened, which allows for aggressive tumor progression. Consistently, analysis of TCGA-ACC data shows that phagocytic macrophages are more prominent in men and are associated with better prognosis. Together, these data show that phagocytic macrophages are key players in the sexual dimorphism of ACC that could be previously unidentified allies in the fight against this devastating cancer.
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Affiliation(s)
- James J. Wilmouth
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Julie Olabe
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Diana Garcia-Garcia
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Cécily Lucas
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Rachel Guiton
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Florence Roucher-Boulez
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
- Laboratoire de Biochimie et Biologie Moléculaire, UM Pathologies Endocriniennes, Groupement Hospitalier Est, Hospices Civils de Lyon, Bron, France
- Université Claude Bernard Lyon 1, Lyon, France
| | - Damien Dufour
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Christelle Damon-Soubeyrand
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Isabelle Sahut-Barnola
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Jean-Christophe Pointud
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Yoan Renaud
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Adrien Levasseur
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Igor Tauveron
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
- Endocrinologie Diabétologie CHU Clermont Ferrand, 58 rue Montalembert, F63000 Clermont-Ferrand, France
| | - Anne-Marie Lefrançois-Martinez
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Antoine Martinez
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
| | - Pierre Val
- Institut GReD (Genetics, Reproduction and Development), CNRS UMR 6293, Inserm U1103, Université Clermont Auvergne, 28 Place Henri Dunant, 63000 Clermont-Ferrand, France
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29
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Stojilkovic SS, Previde RM, Sherman AS, Fletcher PA. Pituitary corticotroph identity and receptor-mediated signaling: A transcriptomics perspective. Current Opinion in Endocrine and Metabolic Research 2022; 25. [PMID: 36177190 PMCID: PMC9514143 DOI: 10.1016/j.coemr.2022.100364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Recent single-cell RNA sequencing has offered an unprecedented view of pituitary cell transcriptomic profiles. In this review, these new data are briefly discussed and compared with the classical literature, focusing on pituitary corticotrophs. These cells are introduced by discussing their marker genes, followed by a review of G protein-coupled receptor gene expression, heterotrimeric G protein genes, and genes encoding signaling pathways downstream of G proteins: adenylate cyclases, phosphodiesterases, phospholipases, and protein kinases. The expression patterns of enzyme-linked plasma membrane and nuclear hormone receptor genes was also analyzed. The overview of these selected groups of genes sheds new light on corticotrophic receptors and their signaling pathways and provides guidance for further basic and clinical research by identifying genes that not been studied so far.
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Affiliation(s)
- Stanko S. Stojilkovic
- Section on Cellular Signaling, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
- Correspondence: Stanko S. Stojilkovic ()
| | - Rafael M. Previde
- Section on Cellular Signaling, The Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA
| | - Arthur S. Sherman
- Laboratory of Biological Modeling, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health (NIH), Bethesda, MD 20892, USA
| | - Patrick A. Fletcher
- Laboratory of Biological Modeling, National Institute of Diabetes, Digestive and Kidney Diseases, National Institutes of Health (NIH), Bethesda, MD 20892, USA
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30
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Shipston MJ. Glucocorticoid action in the anterior pituitary gland: Insights from corticotroph physiology. Curr Opin Endocr Metab Res 2022; 25:100358. [PMID: 36632471 PMCID: PMC9823093 DOI: 10.1016/j.coemr.2022.100358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The anterior pituitary is exposed to ultradian, circadian and stress-induced rhythms of circulating glucocorticoid hormones. Glucocorticoids feedback at the level of the pituitary corticotroph to control their own production through multiple mechanisms. This review highlights key insights from analysis of the dynamics of rapid and early glucocorticoid feedback that reveal both non-genomic and genomic mechanisms mediated by glucocorticoid receptors. Importantly, a common target is control of electrical excitability and calcium signalling although non-genomic effects may also involve control of hormone secretion distal to calcium signalling. Understanding the mechanisms and functional consequences of pulsatile glucocorticoid signalling in the anterior pituitary promises to elucidate the role of glucocorticoids in health and disease, as well as identifying potential diagnostic and therapeutic targets.
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31
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Le Tissier PR, Murray JF, Mollard P. A New Perspective on Regulation of Pituitary Plasticity: The Network of SOX2-Positive Cells May Coordinate Responses to Challenge. Endocrinology 2022; 163:6609891. [PMID: 35713880 PMCID: PMC9273012 DOI: 10.1210/endocr/bqac089] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Indexed: 11/19/2022]
Abstract
Plasticity of function is required for each of the anterior pituitary endocrine axes to support alterations in the demand for hormone with physiological status and in response to environmental challenge. This plasticity is mediated at the pituitary level by a change in functional cell mass resulting from a combination of alteration in the proportion of responding cells, the amount of hormone secreted from each cell, and the total number of cells within an endocrine cell population. The functional cell mass also depends on its organization into structural and functional networks. The mechanisms underlying alteration in gland output depend on the strength of the stimulus and are axis dependent but in all cases rely on sensing of output of the functional cell mass and its regulation. Here, we present evidence that the size of pituitary cell populations is constrained and suggest this is mediated by a form of quorum sensing. We propose that pituitary cell quorum sensing is mediated by interactions between the networks of endocrine cells and hormone-negative SOX2-positive (SOX2+ve) cells and speculate that the latter act as both a sentinel and actuator of cell number. Evidence for a role of the network of SOX2+ve cells in directly regulating secretion from multiple endocrine cell networks suggests that it also regulates other aspects of the endocrine cell functional mass. A decision-making role of SOX2+ve cells would allow precise coordination of pituitary axes, essential for their appropriate response to physiological status and challenge, as well as prioritization of axis modification.
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Affiliation(s)
- Paul R Le Tissier
- Correspondence: Paul R. Le Tissier, PhD, Centre for Discovery Brain Sciences, University of Edinburgh, Hugh Robson Bldg, 15 George Square, Edinburgh EH8 9XD, UK.
| | - Joanne F Murray
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh EH8 9XD, UK
| | - Patrice Mollard
- Correspondence: Patrice Mollard, PhD, Institute of Functional Genomics, University of Montpellier, 141 rue de la Cardonille, F-34093, CNRS, INSERM, Montpellier, France.
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32
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Lopez JP, Lücken MD, Brivio E, Karamihalev S, Kos A, De Donno C, Benjamin A, Yang H, Dick ALW, Stoffel R, Flachskamm C, Ressle A, Roeh S, Huettl RE, Parl A, Eggert C, Novak B, Yan Y, Yeoh K, Holzapfel M, Hauger B, Harbich D, Schmid B, Di Giaimo R, Turck CW, Schmidt MV, Deussing JM, Eder M, Dine J, Theis FJ, Chen A. Ketamine exerts its sustained antidepressant effects via cell-type-specific regulation of Kcnq2. Neuron 2022:S0896-6273(22)00409-3. [PMID: 35649415 DOI: 10.1016/j.neuron.2022.05.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 03/01/2022] [Accepted: 05/02/2022] [Indexed: 12/20/2022]
Abstract
A single sub-anesthetic dose of ketamine produces a rapid and sustained antidepressant response, yet the molecular mechanisms responsible for this remain unclear. Here, we identified cell-type-specific transcriptional signatures associated with a sustained ketamine response in mice. Most interestingly, we identified the Kcnq2 gene as an important downstream regulator of ketamine action in glutamatergic neurons of the ventral hippocampus. We validated these findings through a series of complementary molecular, electrophysiological, cellular, pharmacological, behavioral, and functional experiments. We demonstrated that adjunctive treatment with retigabine, a KCNQ activator, augments ketamine's antidepressant-like effects in mice. Intriguingly, these effects are ketamine specific, as they do not modulate a response to classical antidepressants, such as escitalopram. These findings significantly advance our understanding of the mechanisms underlying the sustained antidepressant effects of ketamine, with important clinical implications.
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33
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Zhang J, Kaye AP, Wang J, Girgenti MJ. Transcriptomics of the depressed and PTSD brain. Neurobiol Stress 2021; 15:100408. [PMID: 34703849 PMCID: PMC8524242 DOI: 10.1016/j.ynstr.2021.100408] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 10/07/2021] [Accepted: 10/09/2021] [Indexed: 12/13/2022] Open
Abstract
Stress is the response of an organism to demands for change, yet excessive or chronic stress contributes to nearly all psychiatric disorders. The advent of high-throughput transcriptomic methods such as single cell RNA sequencing poses new opportunities to understand the neurobiology of stress, yet substantial barriers to understanding stress remain. Stress adaptation is an organismal survival mechanism conserved across all organisms, yet there is an infinity of potential stressful experiences. Unraveling shared and separate transcriptional programs for adapting to stressful experience remains a challenge, despite methodological and analytic advances. Here we review the state of the field focusing on the technologies used to study the transcriptome for the stress neurobiologist, and also attempt to identify central questions about the heterogeneity of stress for those applying transcriptomic approaches. We further explore how postmortem transcriptome studies aided by preclinical animal models are converging on common molecular pathways for adaptation to aversive experience. Finally, we discuss approaches to integrate large genomic datasets with human neuroimaging and other datasets.
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Affiliation(s)
- Jing Zhang
- Department of Computer Science, University of California- Irvine, Irvine, CA, USA
| | - Alfred P. Kaye
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Jiawei Wang
- Program of Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Matthew J. Girgenti
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- National Center for PTSD, U.S. Department of Veterans Affairs, USA
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34
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Abstract
In humans, reticularis cells of the adrenal cortex fuel the production of androgen steroids, constituting the driver of numerous morphological changes during childhood. These steps are considered a precocious stage of sexual maturation and are grouped under the term "adrenarche". This review describes the molecular and enzymatic characteristics of the zona reticularis, along with the possible signals and mechanisms that control its emergence and the associated clinical features. We investigate the differences between species and discuss new studies such as genetic lineage tracing and transcriptomic analysis, highlighting the rodent inner cortex's cellular and molecular heterogeneity. The recent development and characterization of mouse models deficient for Prkar1a presenting with adrenocortical reticularis-like features prompt us to review our vision of the mouse adrenal gland maturation. We expect these new insights will help increase our understanding of the adrenarche process and the pathologies associated with its deregulation.
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Affiliation(s)
- Typhanie Dumontet
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA; Training Program in Organogenesis, Center for Cell Plasticity and Organ Design, University of Michigan, Ann Arbor, MI, USA.
| | - Antoine Martinez
- Génétique, Reproduction et Développement (GReD), Centre National de La Recherche Scientifique CNRS, Institut National de La Santé & de La Recherche Médicale (INSERM), Université Clermont-Auvergne (UCA), France.
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35
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Karin O, Raz M, Alon U. An opponent process for alcohol addiction based on changes in endocrine gland mass. iScience 2021; 24:102127. [PMID: 33665551 PMCID: PMC7903339 DOI: 10.1016/j.isci.2021.102127] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/17/2020] [Accepted: 01/27/2021] [Indexed: 12/03/2022] Open
Abstract
Consuming addictive drugs is often initially pleasurable, but escalating drug intake eventually recruits physiological anti-reward systems called opponent processes that cause tolerance and withdrawal symptoms. Opponent processes are fundamental for the addiction process, but their physiological basis is not fully characterized. Here, we propose an opponent processes mechanism centered on the endocrine stress response, the hypothalamic-pituitary-adrenal (HPA) axis. We focus on alcohol addiction, where the HPA axis is activated and secretes β-endorphin, causing euphoria and analgesia. Using a mathematical model, we show that slow changes in the functional mass of HPA glands act as an opponent process for β-endorphin secretion. The model explains hormone dynamics in alcohol addiction and experiments on alcohol preference in rodents. The opponent process is based on fold-change detection (FCD) where β-endorphin responses are relative rather than absolute; FCD confers vulnerability to addiction but has adaptive roles for learning. Our model suggests gland mass changes as potential targets for intervention in addiction. Addiction involves tolerance and withdrawal over weeks Model of the HPA-axis and β-endorphins explains tolerance and withdrawal Effects due to changes in the functional mass of endocrine glands Fold-change detection makes circuit prone to addiction but boosts learning
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Affiliation(s)
- Omer Karin
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Moriya Raz
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Uri Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel
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