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Gubin D, Neroev V, Malishevskaya T, Kolomeichuk S, Cornelissen G, Yuzhakova N, Vlasova A, Weinert D. Depression scores are associated with retinal ganglion cells loss. J Affect Disord 2023; 333:290-296. [PMID: 37084971 DOI: 10.1016/j.jad.2023.04.039] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/27/2023] [Accepted: 04/14/2023] [Indexed: 04/23/2023]
Abstract
BACKGROUND Light is a known factor affecting mood and the circadian system. Light deficit is linked to deteriorated transduction of photic information to the brain, and reduced amplitude of the perceived circadian light signaling. Retinal ganglion cells (RGCs) loss due to advanced glaucoma can be a factor compromising light perception, with consequences for circadian rhythms, sleep and mood. This study aimed to estimate associations of RGCs loss with a depression score by multiple regression, accounting for other features of glaucoma. METHODS One hundred and fifteen patients diagnosed with primary open-angle glaucoma completed the Beck Depression Inventory II questionnaire. The damage to their RGCs was assessed by high-definition optical coherence tomography (HD-OCT) and their function by pattern electroretinogram (PERG). On fifteen of these patients, 24-h salivary melatonin patterns were determined under light-controlled laboratory conditions, and analysis of eight clock related gene polymorphisms was performed. RESULTS Backward stepwise multiple regression revealed that the BDI score was the strongest factor that was most closely associated with the HD-OCT-based percentage of global RGCs loss (standardized coefficient, b* = 0.784, p < 0.001), surpassing other related factors, including age, intraocular pressure, visual field loss, and PERG amplitude. A high BDI score was associated with the GNβ3 825C > T polymorphism (dbSNP rs5443). LIMITATIONS This study did not specifically address damage to intrinsically photoreceptive RGCs. The gene study is based on a limited number of volunteers. CONCLUSIONS Depression scores are strongly associated with RGCs loss, increasing abruptly above a threshold of 15 %, supporting the hypothesis that RGCs loss in advanced glaucoma may affect non-visual photic transduction and lead to mood disturbances.
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Affiliation(s)
- Denis Gubin
- Laboratory for Chronobiology and Chronomedicine, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; Department of Biology, Medical University, 625023 Tyumen, Russia; Tyumen Cardiology Research Center, Tomsk National Research Medical Center, Russian Academy of Science, Tomsk, Russia.
| | - Vladimir Neroev
- Helmholz National Medical Research Center of Eye Diseases, Moscow, Russia.
| | | | - Sergey Kolomeichuk
- Laboratory for Genomics, Metabolomics and Proteomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia; Laboratory of Genetics, Institute of Biology, Karelian Scientific Center of RAS, Petrozavodsk, Russia; Tyumen State Medical University, Tyumen, Russia
| | - Germaine Cornelissen
- Department of Integrative Biology and Physiology, University of Minnesota, Minneapolis, MN, USA.
| | - Natalia Yuzhakova
- Laboratory for Genomics, Metabolomics and Proteomics, Research Institute of Biomedicine and Biomedical Technologies, Medical University, 625023 Tyumen, Russia.
| | - Anastasia Vlasova
- State Autonomous Health Care Institution Tyumen Regional Ophthalmological Dispensary, 625048, Tyumen, Russia
| | - Dietmar Weinert
- Institute of Biology/Zoology, Martin Luther University, Halle-Wittenberg, Germany.
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Yeom JW, Cho CH, Jeon S, Seo JY, Son S, Ahn YM, Kim SJ, Ha TH, Cha B, Moon E, Park DY, Baek JH, Kang HJ, An H, Lee HJ. Bipolar II disorder has the highest prevalence of seasonal affective disorder in early-onset mood disorders: Results from a prospective observational cohort study. Depress Anxiety 2021; 38:661-670. [PMID: 33818866 DOI: 10.1002/da.23153] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 02/18/2021] [Accepted: 03/16/2021] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Many mood disorder patients experience seasonal changes in varying degrees. Studies on seasonality have shown that bipolar disorder has a higher prevalence rate in such patients; however, there is limited research on seasonality in early-onset mood disorder patients. This study estimated the prevalence of seasonality in early-onset mood disorder patients, and examined the association between seasonality and mood disorders. METHODS Early-onset mood disorder patients (n = 378; 138 major depressive disorder; 101 bipolar I disorder; 139 bipolar II disorder) of the Mood Disorder Cohort Research Consortium and healthy control subjects (n = 235) were assessed for seasonality with Seasonality Pattern Assessment Questionnaire (SPAQ). RESULTS A higher global seasonality score, an overall seasonal impairment score, and the prevalence of seasonal affective disorder (SAD) and subsyndromal SAD showed that mood disorder subjects had higher seasonality than the healthy subjects. The former subject group had a significantly higher mean overall seasonal impairment score than the healthy subjects (p < .001); in particular, bipolar II disorder subjects had the highest prevalence of SAD, and the diagnosis of bipolar II disorder had significantly higher odds ratios for SAD when compared to major depression and bipolar I disorder (p < .05). CONCLUSIONS Early-onset mood disorders, especially bipolar II disorder, were associated with high seasonality. A thorough assessment of seasonality in early-onset mood disorders may be warranted for more personalized treatment and proactive prevention of mood episodes.
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Affiliation(s)
- Ji Won Yeom
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea
| | - Chul-Hyun Cho
- Chronobiology Institute, Korea University, Seoul, Republic of Korea.,Department of Psychiatry, School of Medicine, Chungnam National University, Daejeon, Republic of Korea.,Department of Psychiatry, Chungnam National University Sejong Hospital, Sejong, Republic of Korea
| | - Sehyun Jeon
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea.,Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Ju Yeon Seo
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea.,Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Serhim Son
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Yong-Min Ahn
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Se Joo Kim
- Department of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Tae Hyon Ha
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Boseok Cha
- Department of Psychiatry, Gyeongsang National University College of Medicine, Jinju, Republic of Korea
| | - Eunsoo Moon
- Department of Psychiatry, Pusan National University School of Medicine, Busan, Republic of Korea
| | - Dong Yeon Park
- Department of Psychiatry, National Center for Mental Health, Seoul, Republic of Korea
| | - Ji Hyun Baek
- Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hee-Ju Kang
- Department of Psychiatry, Chonnam National University College of Medicine, Gwangju, Republic of Korea
| | - Hyonggin An
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Biomedical Science, Korea University College of Medicine, Seoul, Republic of Korea.,Chronobiology Institute, Korea University, Seoul, Republic of Korea
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Yeom JW, Jeong S, Seo JY, Jeon S, Lee HJ. Association of the Serotonin 2A Receptor rs6311 Polymorphism with Diurnal Preference in Koreans. Psychiatry Investig 2020; 17:1137-1142. [PMID: 33115187 PMCID: PMC7711123 DOI: 10.30773/pi.2020.0358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 10/21/2020] [Accepted: 10/23/2020] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Evidence for the association between circadian rhythm delay and depression is accumulating. Genetic studies have shown that certain polymorphisms in circadian genes are potential genetic markers of diurnal preference. Along with circadian genes, there is a growing interest in other genetic effects on circadian rhythms. This study evaluated whether the HTR2A rs6311 (-1438C/T) polymorphism is associated with diurnal preference in a Korean population. METHODS A total of 510 healthy subjects were included in this study. All subjects were genotyped for the HTR2A rs6311 polymorphism and they completed the Korean version of the composite scale of morningness (CSM). RESULTS The C allele carriers (C/C+C/T) showed significantly higher CSM scores compared to C allele non-carriers (T/T) (t=2.22, p= 0.03), suggesting the existence of a morning chronotype tendency in C allele carriers. In other words, the T/T genotype may be associated with the evening chronotype. CONCLUSION These results suggest that the HTR2A rs6311 polymorphism may be associated with diurnal preference in a healthy Korean population. The absence of the C allele may be responsible for the increasing susceptibility to eveningness in the Korean population. Further studies on HTR2A polymorphisms that evaluate their interactions with various candidate genes and differences in phenotypic expression of polymorphisms according to ethnic groups are warranted to fully understand their association with diurnal preference.
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Affiliation(s)
- Ji Won Yeom
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seunghwa Jeong
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Ju Yeon Seo
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Sehyun Jeon
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
| | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
- Chronobiology Institute, Korea University, Seoul, Republic of Korea
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Malerba N, De Nittis P, Merla G. The Emerging Role of Gβ Subunits in Human Genetic Diseases. Cells 2019; 8:E1567. [PMID: 31817184 PMCID: PMC6952978 DOI: 10.3390/cells8121567] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 11/23/2019] [Accepted: 11/29/2019] [Indexed: 12/20/2022] Open
Abstract
Environmental stimuli are perceived and transduced inside the cell through the activation of signaling pathways. One common type of cell signaling transduction network is initiated by G-proteins. G-proteins are activated by G-protein-coupled receptors (GPCRs) and transmit signals from hormones, neurotransmitters, and other signaling factors, thus controlling a number of biological processes that include synaptic transmission, visual photoreception, hormone and growth factors release, regulation of cell contraction and migration, as well as cell growth and differentiation. G-proteins mainly act as heterotrimeric complexes, composed of alpha, beta, and gamma subunits. In the last few years, whole exome sequencing and biochemical studies have shown causality of disease-causing variants in genes encoding G-proteins and human genetic diseases. This review focuses on the G-protein β subunits and their emerging role in the etiology of genetically inherited rare diseases in humans.
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Affiliation(s)
- Natascia Malerba
- Division of Medical Genetics Unit, IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini, 71013 San Giovanni Rotondo (FG), Italy;
| | - Pasquelena De Nittis
- Center for Integrative Genomics, University of Lausanne, CH-1015 Lausanne, Switzerland;
| | - Giuseppe Merla
- Division of Medical Genetics Unit, IRCCS Casa Sollievo della Sofferenza, Viale Cappuccini, 71013 San Giovanni Rotondo (FG), Italy;
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