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Pierzynowska K, Gaffke L, Żabińska M, Cyske Z, Rintz E, Wiśniewska K, Podlacha M, Węgrzyn G. Roles of the Oxytocin Receptor (OXTR) in Human Diseases. Int J Mol Sci 2023; 24:ijms24043887. [PMID: 36835321 PMCID: PMC9966686 DOI: 10.3390/ijms24043887] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
The oxytocin receptor (OXTR), encoded by the OXTR gene, is responsible for the signal transduction after binding its ligand, oxytocin. Although this signaling is primarily involved in controlling maternal behavior, it was demonstrated that OXTR also plays a role in the development of the nervous system. Therefore, it is not a surprise that both the ligand and the receptor are involved in the modulation of behaviors, especially those related to sexual, social, and stress-induced activities. As in the case of every regulatory system, any disturbances in the structures or functions of oxytocin and OXTR may lead to the development or modulation of various diseases related to the regulated functions, which in this case include either mental problems (autism, depression, schizophrenia, obsessive-compulsive disorders) or those related to the functioning of reproductive organs (endometriosis, uterine adenomyosis, premature birth). Nevertheless, OXTR abnormalities are also connected to other diseases, including cancer, cardiac disorders, osteoporosis, and obesity. Recent reports indicated that the changes in the levels of OXTR and the formation of its aggregates may influence the course of some inherited metabolic diseases, such as mucopolysaccharidoses. In this review, the involvement of OXTR dysfunctions and OXTR polymorphisms in the development of different diseases is summarized and discussed. The analysis of published results led us to suggest that changes in OXTR expression and OXTR abundance and activity are not specific to individual diseases, but rather they influence processes (mostly related to behavioral changes) that might modulate the course of various disorders. Moreover, a possible explanation of the discrepancies in the published results of effects of the OXTR gene polymorphisms and methylation on different diseases is proposed.
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Twait EL, Blom K, Koek HL, Zwartbol MHT, Ghaznawi R, Hendrikse J, Gerritsen L, Geerlings MI. Psychosocial factors and hippocampal subfields: The Medea-7T study. Hum Brain Mapp 2022; 44:1964-1984. [PMID: 36583397 PMCID: PMC9980899 DOI: 10.1002/hbm.26185] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 11/21/2022] [Accepted: 12/05/2022] [Indexed: 12/31/2022] Open
Abstract
Specific subfields within the hippocampus have shown vulnerability to chronic stress, highlighting the importance of looking regionally within the hippocampus to understand the role of psychosocial factors in the development of neurodegenerative diseases. A systematic review on psychosocial factors and hippocampal subfield volumes was performed and showed inconsistent results, highlighting the need for future studies to explore this relationship. The current study aimed to explore the association of psychosocial factors with hippocampal (subfield) volumes, using high-field 7T MRI. Data were from the Memory Depression and Aging (Medea)-7T study, which included 333 participants without dementia. Hippocampal subfields were automatically segmented from T2-weighted images using ASHS software. Generalized linear models accounting for correlated outcomes were used to assess the association between subfields (i.e., entorhinal cortex, subiculum, Cornu Ammonis [CA]1, CA2, CA3, dentate gyrus, and tail) and each psychosocial factor (i.e., depressive symptoms, anxiety symptoms, childhood maltreatment, recent stressful life events, and social support), adjusted for age, sex, and intracranial volume. Neither depression nor anxiety was associated with specific hippocampal (subfield) volumes. A trend for lower total hippocampal volume was found in those reporting childhood maltreatment, and a trend for higher total hippocampal volume was found in those who experienced a recent stressful life event. Among subfields, low social support was associated with lower volume in the CA3 (B = -0.43, 95% CI: -0.72; -0.15). This study suggests possible differential effects among hippocampal (subfield) volumes and psychosocial factors.
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Affiliation(s)
- Emma L. Twait
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Kim Blom
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Huiberdina L. Koek
- Department of GeriatricsUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Maarten H. T. Zwartbol
- Department of RadiologyUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Rashid Ghaznawi
- Department of RadiologyUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Jeroen Hendrikse
- Department of RadiologyUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands
| | - Lotte Gerritsen
- Department of PsychologyUtrecht UniversityUtrechtThe Netherlands
| | - Mirjam I. Geerlings
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht and Utrecht UniversityUtrechtThe Netherlands,Department of General PracticeAmsterdam UMC, Location University of AmsterdamAmsterdamThe Netherlands,Amsterdam Public Health, Aging & Later life, and Personalized MedicineAmsterdamThe Netherlands,Amsterdam Neuroscience, Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and SleepAmsterdamThe Netherlands
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Neuroimaging genetics of oxytocin: A transcriptomics-informed systematic review. Neurosci Biobehav Rev 2022; 142:104912. [DOI: 10.1016/j.neubiorev.2022.104912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 08/10/2022] [Accepted: 10/06/2022] [Indexed: 11/20/2022]
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Marazziti D, Diep PT, Carter S, Carbone MG. Oxytocin: An Old Hormone, A Novel Psychotropic Drug And Possible Use In Treating Psychiatric Disorders. Curr Med Chem 2022; 29:5615-5687. [PMID: 35894453 DOI: 10.2174/0929867329666220727120646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 03/17/2022] [Accepted: 04/19/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Oxytocin is a nonapeptide synthesized in the paraventricular and supraoptic nuclei of the hypothalamus. Historically, this molecule has been involved as a key factor in the formation of infant attachment, maternal behavior and pair bonding and, more generally, in linking social signals with cognition, behaviors and reward. In the last decades, the whole oxytocin system has gained a growing interest as it was proposed to be implicated in etiopathogenesis of several neurodevelopmental and neuropsychiatric disorders. METHODS With the main goal of an in-depth understanding of the oxytocin role in the regulation of different functions and complex behaviors as well as its intriguing implications in different neuropsychiatric disorders, we performed a critical review of the current state of art. We carried out this work through PubMed database up to June 2021 with the search terms: 1) "oxytocin and neuropsychiatric disorders"; 2) "oxytocin and neurodevelopmental disorders"; 3) "oxytocin and anorexia"; 4) "oxytocin and eating disorders"; 5) "oxytocin and obsessive-compulsive disorder"; 6) "oxytocin and schizophrenia"; 7) "oxytocin and depression"; 8) "oxytocin and bipolar disorder"; 9) "oxytocin and psychosis"; 10) "oxytocin and anxiety"; 11) "oxytocin and personality disorder"; 12) "oxytocin and PTSD". RESULTS Biological, genetic, and epigenetic studies highlighted quality and quantity modifications in the expression of oxytocin peptide or in oxytocin receptor isoforms. These alterations would seem to be correlated with a higher risk of presenting several neuropsychiatric disorders belonging to different psychopathological spectra. Collaterally, the exogenous oxytocin administration has shown to ameliorate many neuropsychiatric clinical conditions. CONCLUSION Finally, we briefly analyzed the potential pharmacological use of oxytocin in patient with severe symptomatic SARS-CoV-2 infection due to its anti-inflammatory, anti-oxidative and immunoregulatory properties.
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Affiliation(s)
- Donatella Marazziti
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, Italy.,Saint Camillus International University of Health and Medical Sciences, Rome, Italy
| | - Phuoc-Tan Diep
- Department of Histopathology, Royal Lancaster Infirmary, University Hospitals of Morecambe Bay NHS Foundation Trust, Lancaster, United Kingdom
| | - Sue Carter
- Director Kinsey Institute, Indiana University, Bloomington, IN, USA
| | - Manuel G Carbone
- Department of Medicine and Surgery, Division of Psychiatry, University of Insubria, 21100 Varese, Italy
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5
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Possible oxytocin-related biomarkers in anxiety and mood disorders. Prog Neuropsychopharmacol Biol Psychiatry 2022; 116:110531. [PMID: 35150782 DOI: 10.1016/j.pnpbp.2022.110531] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 12/30/2021] [Accepted: 02/05/2022] [Indexed: 02/08/2023]
Abstract
Anxiety and mood disorders are prevalent, disabling, and frequently difficult to treat. Such disorders are often comorbid and share similar characteristics. For more accurate diagnosis and improved treatment, a deeper understanding of the pathophysiology of anxiety and mood disorders is important. Oxytocin, a neuropeptide synthesized in the hypothalamus, affects human psychology and behaviors such as social and affiliative behaviors, fear and emotion processing, and stress regulation. Thus, oxytocin is believed to exert anxiolytic and antidepressant-like effects. This review article provides an overview of clinical studies on relationships between the oxytocin system and anxiety and mood disorders, focusing on oxytocin-related biomarker findings. Biomarkers used in such studies include central and peripheral oxytocin levels, analysis of oxytocin-related genes, and expression levels of oxytocin and oxytocin receptor genes in postmortem brains. Although a growing number of studies support the presence of oxytocinergic effects on anxiety and mood disorders, study results are heterogeneous and inconclusive. Moderating factors such as the characteristics of study populations, including sex, age, context, early life adversity, and attachment styles in patient cohorts, might affect the heterogeneity of the study results. Limitations in existing research such as small sample sizes, large dependence on peripheral sources of oxytocin, and inconsistent results between immunoassay methods complicate the interpretation of existing findings.
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Qiu B, Zhong Z, Righter S, Xu Y, Wang J, Deng R, Wang C, Williams KE, Ma YY, Tsechpenakis G, Liang T, Yong W. FKBP51 modulates hippocampal size and function in post-translational regulation of Parkin. Cell Mol Life Sci 2022; 79:175. [PMID: 35244772 PMCID: PMC11072506 DOI: 10.1007/s00018-022-04167-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 01/20/2022] [Accepted: 01/22/2022] [Indexed: 11/29/2022]
Abstract
FK506-binding protein 51 (encoded by Fkpb51, also known as Fkbp5) has been associated with stress-related mental illness. To investigate its function, we studied the morphological consequences of Fkbp51 deletion. Artificial Intelligence-assisted morphological analysis revealed that male Fkbp51 knock-out (KO) mice possess more elongated dentate gyrus (DG) but shorter hippocampal height in coronal sections when compared to WT. Primary cultured Fkbp51 KO hippocampal neurons were shown to exhibit larger dendritic outgrowth than wild-type (WT) controls and pharmacological manipulation experiments suggest that this may occur through the regulation of microtubule-associated protein. Both in vitro primary culture and in vivo labeling support a role for FKBP51 in the regulation of microtubule-associated protein expression. Furthermore, Fkbp51 KO hippocampi exhibited decreases in βIII-tubulin, MAP2, and Tau protein levels, but a greater than 2.5-fold increase in Parkin protein. Overexpression and knock-down FKBP51 demonstrated that FKBP51 negatively regulates Parkin in a dose-dependent and ubiquitin-mediated manner. These results indicate a potential novel post-translational regulatory mechanism of Parkin by FKBP51 and the significance of their interaction on disease onset. KO has more flattened hippocampus using AI-assisted measurement Both pyramidal cell layer (PCL) of CA and granular cell layer (GCL) of DG distinguishable as two layers: deep cell layer and superficial layer. Distinct MAP2 expression between deep and superficial layer between KO and WT, Higher Parkin expression in KO brain Mechanism of FKBP51 inhibition resulting in Parkin, MAP2, Tau, and Tubulin expression differences between KO and WT mice, and resulting neurite outgrowth differences.
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Affiliation(s)
- Bin Qiu
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
- Department of Pharmacology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Zhaohui Zhong
- Department of General Surgery, Peking University People's Hospital, Beijing, 100032, China
| | - Shawn Righter
- Department of Computer and Information Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA
| | - Yuxue Xu
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jun Wang
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ran Deng
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Chao Wang
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Kent E Williams
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Yao-Ying Ma
- Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Gavriil Tsechpenakis
- Department of Computer and Information Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA
| | - Tiebing Liang
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Weidong Yong
- Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
- Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Rafikova EI, Shibalev DV, Shadrina MI, Slominsky PA, Guekht AB, Ryskov AP, Vasilyev VA. Common and Specific Genetic Risk Factors for Three Disorders with Depressive Symptoms. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422010100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Ji L, Chen C, Hou B, Ren D, Yuan F, Liu L, Bi Y, Guo Z, Yang F, Wu X, Chen F, Li X, Liu C, Zuo Z, Zhang R, Yi Z, Xu Y, He L, Shi Y, Yu T, He G. Impact of OXTR Polymorphisms on Subjective Well-Being: The Intermediary Role of Attributional Style. Front Genet 2022; 12:763628. [PMID: 35222513 PMCID: PMC8864163 DOI: 10.3389/fgene.2021.763628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 12/28/2021] [Indexed: 12/01/2022] Open
Abstract
Polymorphisms in the oxytocin receptor (OXTR) gene are related to individual differences in negative emotions, such as depressive symptoms and anxiety. However, it remains unclear what the potential roles of OXTR polymorphisms are in subjective well-being (SWB), which is negatively correlated with depressive symptoms. We examined attributional styles as mediator between SWB and five polymorphisms of the oxytocin receptor gene (OXTR rs53576, rs2254298, rs1042778, rs2268494, and rs2268490) among 627 full-time college freshmen (Mage = 20.90, SD = 0.82 for male; Mage = 20.81, SD = 0.92 for female) using structural equation modeling. The results showed that individuals with the OXTR rs2254298 AA genotype and rs53576 AA/GA genotype reported higher scores on SWB, which suggested that individuals with this genotype experienced more happiness. Moreover, external attributional style partially mediated the association between OXTR rs2254298 polymorphism and SWB (β = 0.019, 95%CI [0.001, 0.036], p = 0.035). In conclusion, our findings demonstrated that the genetic variations of OXTR played a role in the individual differences of SWB, and external attribution style could mediate the association.
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Affiliation(s)
- Lei Ji
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | | | - Binyin Hou
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Decheng Ren
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Fan Yuan
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Liangjie Liu
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Yan Bi
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Zhenming Guo
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Fengping Yang
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Xi Wu
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Fujun Chen
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Xingwang Li
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | | | - Zhen Zuo
- Jining Medical University, Jining, China
| | - Rong Zhang
- Shanghai Center for Women and Children’s Health, Shanghai, China
| | - Zhenghui Yi
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Yifeng Xu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Lin He
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Yi Shi
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
- *Correspondence: Yi Shi, ; Tao Yu, ; Guang He,
| | - Tao Yu
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Center for Women and Children’s Health, Shanghai, China
- *Correspondence: Yi Shi, ; Tao Yu, ; Guang He,
| | - Guang He
- Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
- *Correspondence: Yi Shi, ; Tao Yu, ; Guang He,
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Xie S, Hu Y, Fang L, Chen S, Botchway BOA, Tan X, Fang M, Hu Z. The association of oxytocin with major depressive disorder: role of confounding effects of antidepressants. Rev Neurosci 2021; 33:59-77. [PMID: 33989469 DOI: 10.1515/revneuro-2020-0128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 04/18/2021] [Indexed: 01/15/2023]
Abstract
Major depressive disorder is a genetic susceptible disease, and a psychiatric syndrome with a high rate of incidence and recurrence. Because of its complexity concerning etiology and pathogenesis, the cure rate of first-line antidepressants is low. In recent years, accumulative evidences revealed that oxytocin act as a physiological or pathological participant in a variety of complex neuropsychological activities, including major depressive disorder. Six electronic databases (Web of Science, PubMed, Scopus, Google Scholar, CNKI, and Wanfang) were employed for researching relevant publications. At last, 226 articles were extracted. The current review addresses the correlation of the oxytocin system and major depressive disorder. Besides, we summarize the mechanisms by which the oxytocin system exerts potential antidepressant effects, including regulating neuronal activity, influencing neuroplasticity and regeneration, altering neurotransmitter release, down regulating hypothalamic-pituitary-adrenal axis, anti-inflammatory, antioxidation, and genetic effects. Increasing evidence shows that oxytocin and its receptor gene may play a potential role in major depressive disorder. Future research should focus on the predictive ability of the oxytocin system as a biomarker, as well as its role in targeted prevention and early intervention of major depressive disorder.
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Affiliation(s)
- Shiyi Xie
- Obstetrics & Gynecology Department, Integrated Chinese and West Medicine Hospital Affiliated to Zhejiang Chinese Medicine University, 208 Huanchendong Road, 310003Hangzhou, China.,Clinical Medical College, Zhejiang Chinese Medical University, 310053Hangzhou, China
| | - Yan Hu
- Clinical Medical College, Zhejiang Chinese Medical University, 310053Hangzhou, China
| | - Li Fang
- Obstetrics & Gynecology Department, Integrated Chinese and West Medicine Hospital Affiliated to Zhejiang Chinese Medicine University, 208 Huanchendong Road, 310003Hangzhou, China
| | - Shijia Chen
- Institute of Neuroscience, Zhejiang University School of Medicine, 310058Hangzhou, China
| | - Benson O A Botchway
- Institute of Neuroscience, Zhejiang University School of Medicine, 310058Hangzhou, China
| | - Xiaoning Tan
- Institute of Neuroscience, Zhejiang University School of Medicine, 310058Hangzhou, China
| | - Marong Fang
- Institute of Neuroscience, Zhejiang University School of Medicine, 310058Hangzhou, China
| | - Zhiying Hu
- Obstetrics & Gynecology Department, Integrated Chinese and West Medicine Hospital Affiliated to Zhejiang Chinese Medicine University, 208 Huanchendong Road, 310003Hangzhou, China
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10
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Sämann PG, Iglesias JE, Gutman B, Grotegerd D, Leenings R, Flint C, Dannlowski U, Clarke‐Rubright EK, Morey RA, Erp TG, Whelan CD, Han LKM, Velzen LS, Cao B, Augustinack JC, Thompson PM, Jahanshad N, Schmaal L. FreeSurfer
‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for
ENIGMA
studies and other collaborative efforts. Hum Brain Mapp 2020; 43:207-233. [PMID: 33368865 PMCID: PMC8805696 DOI: 10.1002/hbm.25326] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/26/2020] [Accepted: 12/13/2020] [Indexed: 12/11/2022] Open
Abstract
Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013–12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi‐)genetics. Finally, we highlight points where FreeSurfer‐based hippocampal subfield studies may be optimized.
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Affiliation(s)
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing University College London London UK
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
- Computer Science and AI Laboratory (CSAIL), Massachusetts Institute of Technology (MIT) Cambridge Massachusetts US
| | - Boris Gutman
- Department of Biomedical Engineering Illinois Institute of Technology Chicago USA
| | | | - Ramona Leenings
- Department of Psychiatry University of Münster Münster Germany
| | - Claas Flint
- Department of Psychiatry University of Münster Münster Germany
- Department of Mathematics and Computer Science University of Münster Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Emily K. Clarke‐Rubright
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Rajendra A. Morey
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Theo G.M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine California USA
- Center for the Neurobiology of Learning and Memory University of California Irvine Irvine California USA
| | - Christopher D. Whelan
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Laura K. M. Han
- Department of Psychiatry Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Laura S. Velzen
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry University of Alberta Edmonton Canada
| | - Jean C. Augustinack
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
| | - Paul M. Thompson
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Neda Jahanshad
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Lianne Schmaal
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
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Changes in Hippocampal Plasticity in Depression and Therapeutic Approaches Influencing These Changes. Neural Plast 2020; 2020:8861903. [PMID: 33293948 PMCID: PMC7718046 DOI: 10.1155/2020/8861903] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/30/2020] [Accepted: 11/11/2020] [Indexed: 02/06/2023] Open
Abstract
Depression is a common neurological disease that seriously affects human health. There are many hypotheses about the pathogenesis of depression, and the most widely recognized and applied is the monoamine hypothesis. However, no hypothesis can fully explain the pathogenesis of depression. At present, the brain-derived neurotrophic factor (BDNF) and neurogenesis hypotheses have highlighted the important role of plasticity in depression. The plasticity of neurons and glial cells plays a vital role in the transmission and integration of signals in the central nervous system. Plasticity is the adaptive change in the nervous system in response to changes in external signals. The hippocampus is an important anatomical area associated with depression. Studies have shown that some antidepressants can treat depression by changing the plasticity of the hippocampus. Furthermore, caloric restriction has also been shown to affect antidepressant and hippocampal plasticity changes. In this review, we summarize the latest research, focusing on changes in the plasticity of hippocampal neurons and glial cells in depression and the role of BDNF in the changes in hippocampal plasticity in depression, as well as caloric restriction and mitochondrial plasticity. This review may contribute to the development of antidepressant drugs and elucidating the mechanism of depression.
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Wang J, Zhang P, Li W, Wen Q, Liu F, Xu J, Xu Q, Zhu D, Ye Z, Yu C. Right Posterior Insula and Putamen Volume Mediate the Effect of Oxytocin Receptor Polygenic Risk for Autism Spectrum Disorders on Reward Dependence in Healthy Adults. Cereb Cortex 2020; 31:746-756. [PMID: 32710107 DOI: 10.1093/cercor/bhaa198] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 06/29/2020] [Accepted: 06/29/2020] [Indexed: 12/24/2022] Open
Abstract
Much evidence indicates the influence of the oxytocin receptor (OXTR) gene on autism spectrum disorders (ASDs), a set of disorders characterized by a range of deficits in prosocial behaviors, which are closely related to the personality trait of reward dependence (RD). However, we do not know the effect of the OXTR polygenic risk score for ASDs (OXTR-PRSASDs) on RD and its underlying neuroanatomical substrate. Here, we aimed to investigate associations among the OXTR-PRSASDs, gray matter volume (GMV), and RD in two independent datasets of healthy young adults (n = 450 and 540). We found that the individuals with higher OXTR-PRSASDs had lower RD and significantly smaller GMV in the right posterior insula and putamen. The GMV of this region showed a positive correlation with RD and a mediation effect on the association between OXTR-PRSASDs and RD. Moreover, the correlation map between OXTR-PRSASDs and GMV showed spatial correlation with OXTR gene expression. All results were highly consistent between the two datasets. These findings highlight a possible neural pathway by which the common variants in the OXTR gene associated with ASDs may jointly impact the GMV of the right posterior insula and putamen and further affect the personality trait of RD.
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Affiliation(s)
- Junping Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Peng Zhang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Wei Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Qin Wen
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Qiang Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Dan Zhu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
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Interaction of COMT and KIBRA modulates the association between hippocampal structure and episodic memory performance in healthy young adults. Behav Brain Res 2020; 384:112550. [PMID: 32057830 DOI: 10.1016/j.bbr.2020.112550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 01/23/2020] [Accepted: 02/08/2020] [Indexed: 11/23/2022]
Abstract
Genetic variations of COMT and KIBRA, which were reported to be expressed in the hippocampus, have been linked to memory function. However, their interaction on the hippocampal structure remains unknown. This study aimed to explore the interaction effects of COMT rs4680 and KIBRA rs17070145 on the hippocampal subfield volumes and test their associations with hippocampus-memory relationship in 187 healthy young adults. Two-way analysis of covariance was applied to the alterations in hippocampal subfield volumes among COMT and KIBRA genotypes. Significant interaction effects of these two genes were found in the right CA1 and CA3 subfields. Among KIBRA C-allele carriers, COMT Val/Val homozygotes showed greater volume in these regions than COMT Met-allele carriers. Furthermore, the slope of the correlation between right CA1 volume and immediate recall on the California Verbal Learning Test-II (CVLT-II) (F = 4.36, p = 0.041) as well as CVLT-II delayed recall (F = 6.44, p = 0.014) were significantly different between COMT Val/Val homozygotes and Met-allele carriers, which were positive or tend to be positive in COMT Val/Val group (CVLT immediate recall, r = 0.319, p = 0.040; CVLT delayed recall, r = 0.304, p = 0.051), but absent in COMT Met-allele carriers (CVLT immediate recall, r = -0.263, p = 0.205; CVLT delayed recall, r = -0.351, p = 0.086). These findings may provide a novel insight into the genetic effects upon the hippocampal structure and suggest that the conjoint effects of COMT and KIBRA played a modulatory role in the hippocampus-episodic memory correlation.
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Guessoum SB, Le Strat Y, Dubertret C, Mallet J. A transnosographic approach of negative symptoms pathophysiology in schizophrenia and depressive disorders. Prog Neuropsychopharmacol Biol Psychiatry 2020; 99:109862. [PMID: 31927053 DOI: 10.1016/j.pnpbp.2020.109862] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 01/07/2020] [Accepted: 01/08/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Negative Symptoms (blunted affect, alogia, anhedonia, avolition and asociality) are observed in schizophrenia but also in depressive disorders. OBJECTIVE To gather cognitive, neuroanatomical, neurofunctional and neurobiological knowledge of negative symptoms in studies on schizophrenia, depressive disorder, and transnosographic studies. RESULTS Blunted affect in schizophrenia is characterized by amygdala hyperactivation and frontal hypoactivation, also found in depressive disorder. Mirror neurons, may be related to blunted affect in schizophrenia. Alogia may be related to cognitive dysfunction and basal ganglia area impairments in schizophrenia. Data surrounding alogia in depressive disorder is scarce; wider speech deficits are often studied instead. Consummatory Anhedonia may be less affected than Anticipatory Anhedonia in schizophrenia. Anhedonia is associated with reward impairments and altered striatal functions in both diagnostics. Amotivation is associated with Corticostriatal Hypoactivation in both disorders. Anhedonia and amotivation are transnosographically associated with dopamine dysregulation. Asociality may be related to oxytocin. CONCLUSION Pathophysiological hypotheses are specific to each dimension of negative symptoms and overlap across diagnostic boundaries, possibly underpinning the observed clinical continuum.
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Affiliation(s)
- Sélim Benjamin Guessoum
- AP-HP; Psychiatry Department, University Hospital Louis Mourier; University of Paris, 178 rue des Renouillers, 92700 Colombes, France; INSERM UMR1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), 102-108 rue de la Santé, 75014 Paris, France
| | - Yann Le Strat
- AP-HP; Psychiatry Department, University Hospital Louis Mourier; University of Paris, 178 rue des Renouillers, 92700 Colombes, France; INSERM UMR1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), 102-108 rue de la Santé, 75014 Paris, France.
| | - Caroline Dubertret
- AP-HP; Psychiatry Department, University Hospital Louis Mourier; University of Paris, 178 rue des Renouillers, 92700 Colombes, France; INSERM UMR1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), 102-108 rue de la Santé, 75014 Paris, France.
| | - Jasmina Mallet
- AP-HP; Psychiatry Department, University Hospital Louis Mourier; University of Paris, 178 rue des Renouillers, 92700 Colombes, France; INSERM UMR1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), 102-108 rue de la Santé, 75014 Paris, France.
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Luo S, Zhu Y, Fan L, Gao D, Han S. Resting-state brain network properties mediate the association between the oxytocin receptor gene and interdependence. Soc Neurosci 2020; 15:296-310. [PMID: 31928145 DOI: 10.1080/17470919.2020.1714718] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
While an increasing number of behavioral findings have provided gene-culture coevolution accounts of human development, whether and how the brain mediates gene-culture associations remain unresolved. Based on the Culture-Behavior-Brain-Loop Model and the recent finding of associations between the oxytocin receptor gene (OXTR, rs53576) and a cultural trait (i.e., interdependence) across populations, we tested the hypothesis that resting-state brain network properties mediate the relationship between OXTR rs53576 and interdependence. G and A allele carriers of OXTR rs53576 were scanned during a resting state using functional magnetic resonance imaging (fMRI) and completed questionnaires to estimate their interdependence cultural values. We identified significant genotype effects on the local network metrics of the right hippocampus and its functional connectivity with the medial prefrontal cortex, dorsal anterior cingulate cortex, amygdala, basal ganglia and thalamus. The local network metrics of the right hippocampus and its functional connectivity with the basal ganglia and thalamus were correlated with interdependence. Moreover, both the degree of the right hippocampus and its functional connectivity with the basal ganglia and thalamus mediated the relationship between OXTR and interdependence. Our results provide brain imaging evidence for a key function of the brain in mediating the relationship between genes and culture.
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Affiliation(s)
- Siyang Luo
- Department of Psychology, Guangdong Provincial Key Laboratory of Social Cognitive Neuroscience and Mental Health, Guangdong Provincial Key Laboratory of Brain Function and Disease, Sun Yat-Sen University , Guangzhou China
| | - Yiyi Zhu
- Department of Psychology, Guangdong Provincial Key Laboratory of Social Cognitive Neuroscience and Mental Health, Guangdong Provincial Key Laboratory of Brain Function and Disease, Sun Yat-Sen University , Guangzhou China.,School of Behavioral and Brain Sciences, The University of Texas at Dallas , Richardson, TX, USA
| | - Leyi Fan
- Department of Psychology, Guangdong Provincial Key Laboratory of Social Cognitive Neuroscience and Mental Health, Guangdong Provincial Key Laboratory of Brain Function and Disease, Sun Yat-Sen University , Guangzhou China
| | - Dingguo Gao
- Department of Psychology, Guangdong Provincial Key Laboratory of Social Cognitive Neuroscience and Mental Health, Guangdong Provincial Key Laboratory of Brain Function and Disease, Sun Yat-Sen University , Guangzhou China
| | - Shihui Han
- School of Psychological and Cognitive Sciences, PKU-IDG/McGovern Institute for Brain Research, Beijing Key Laboratory of Behavior and Mental Health, Peking University , Beijing, China
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