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Jindal M, Chhetri A, Ludhiadch A, Singh P, Peer S, Singh J, Brar RS, Munshi A. Neuroimaging Genomics a Predictor of Major Depressive Disorder (MDD). Mol Neurobiol 2024; 61:3427-3440. [PMID: 37989980 DOI: 10.1007/s12035-023-03775-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/05/2023] [Indexed: 11/23/2023]
Abstract
Depression is a complex psychiatric disorder influenced by various genetic and environmental factors. Strong evidence has established the contribution of genetic factors in depression through twin studies and the heritability rate for depression has been reported to be 37%. Genetic studies have identified genetic variations associated with an increased risk of developing depression. Imaging genetics is an integrated approach where imaging measures are combined with genetic information to explore how specific genetic variants contribute to brain abnormalities. Neuroimaging studies allow us to examine both structural and functional abnormalities in individuals with depression. This review has been designed to study the correlation of the significant genetic variants with different regions of neural activity, connectivity, and structural alteration in the brain as detected by imaging techniques to understand the scope of biomarkers in depression. This might help in developing novel therapeutic interventions targeting specific genetic pathways or brain circuits and the underlying pathophysiology of depression based on this integrated approach can be established at length.
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Affiliation(s)
- Manav Jindal
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Bathinda, India
| | - Aakash Chhetri
- Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, 151401, India
| | - Abhilash Ludhiadch
- Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, 151401, India
| | - Paramdeep Singh
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Bathinda, India
| | - Sameer Peer
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Bathinda, India
| | - Jawahar Singh
- Department of Psychiatry, All India Institute of Medical Sciences, Bathinda, India
| | - Rahatdeep Singh Brar
- Department of Diagnostic and Interventional Radiology, Homi Bhabha Cancer Hospital & Research Center, Mohali, India
| | - Anjana Munshi
- Department of Human Genetics and Molecular Medicine, Central University of Punjab, Bathinda, 151401, India.
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Associations between the kynurenine pathway and the brain in patients with major depressive disorder-A systematic review of neuroimaging studies. Prog Neuropsychopharmacol Biol Psychiatry 2023; 121:110675. [PMID: 36372294 DOI: 10.1016/j.pnpbp.2022.110675] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/26/2022] [Accepted: 11/06/2022] [Indexed: 11/13/2022]
Abstract
Previous studies have indicated that an imbalance in the kynurenine (KYN) pathway is an important pathophysiological mechanism of depression. Several studies have reported that an imbalance in the KYN pathway and its metabolites is associated with abnormalities in cerebral structure and function in depression, but the available evidence has been inconsistent. In this review, we systematically reviewed and integrated the findings concerning the associations between the KYN pathway and the brain in patients with major depressive disorder (MDD). A total of 22 neuroimaging studies were ultimately included in the present study. The neuroimaging modalities used in the studies included structural magnetic resonance imaging (MRI), diffusion tensor imaging, functional MRI, magnetic resonance spectroscopy, arterial spin labelling and positron emission tomography. The results revealed that an imbalance in the KYN pathway was associated with structural and functional abnormalities in several brain regions in patients with MDD. The brain regions most frequently associated with an imbalance in the KYN pathway were cortical regions (i.e., anterior cingulate cortex and orbitofrontal cortex), subcortical regions (i.e., striatum, thalamus and amygdala) and white matter fibres (i.e., inner capsule and left superior longitudinal tract). Our study provides robust evidence that cerebral abnormalities associated with the KYN pathway may be the underlying pathophysiological mechanisms of MDD. Future prospective studies are needed to further elucidate the causal relationships between the imbalanced KYN pathway and cerebral abnormalities in patients with MDD.
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Peng D, Yao Z. Neuroimaging Advance in Depressive Disorder. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1180:59-83. [DOI: 10.1007/978-981-32-9271-0_3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Piel JH, Lett TA, Wackerhagen C, Plichta MM, Mohnke S, Grimm O, Romanczuk-Seiferth N, Degenhardt F, Tost H, Witt S, Nöthen M, Rietschel M, Heinz A, Meyer-Lindenberg A, Walter H, Erk S. The effect of 5-HTTLPR and a serotonergic multi-marker score on amygdala, prefrontal and anterior cingulate cortex reactivity and habituation in a large, healthy fMRI cohort. Eur Neuropsychopharmacol 2018; 28:415-427. [PMID: 29358097 DOI: 10.1016/j.euroneuro.2017.12.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2017] [Revised: 12/06/2017] [Accepted: 12/08/2017] [Indexed: 12/16/2022]
Abstract
Major depressive disorder (MDD) is characterized by low mood for at least two weeks. Impaired emotion regulation has been suggested to be the consequence of dysfunctional serotonergic regulation of limbic and prefrontal regions, especially the amygdala, the anterior cingulate cortex (ACC) and the prefrontal cortex (PFC). The impact of genetic variation on brain function can be investigated with intermediate phenotypes. A suggested intermediate phenotype of MDD is emotion recognition: The 5-HTTLPR polymorphism of SLC6A4 as well as other serotonergic genes have been associated with amygdala and prefrontal function during emotion recognition. Previously, it has been suggested that habituation is a more reliable index of emotion recognition than functional activation. We examined the relationship of genes involved in serotonergic signaling with amygdala as well as prefrontal functional activation and habituation during an emotion recognition task in 171 healthy subjects. While effects of 5-HTTLPR and of a serotonergic multi-marker score (5-HTTLPR, TPH1(rs1800532), TPH2(rs4570625), HTR1A(rs6295) and HTR2A(rs6311)) on amygdala activation did not withstand correction for multiple regions of interest, we observed a strong correlation of the multi-marker score and habituation in the amygdala, DLPFC, and ACC. We replicated a well-studied intermediate phenotype for association with 5-HTTLPR and provided additional evidence for polygenic involvement. Furthermore, we showed that task habituation may be influenced by genetic variation in serotonergic signaling, particularly by a serotonergic multi-marker score. We provided preliminary evidence that PFC activation is an important intermediate phenotype of MDD. Future studies are needed to corroborate the results in larger samples.
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Affiliation(s)
- J H Piel
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - T A Lett
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - C Wackerhagen
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - M M Plichta
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt, Germany
| | - S Mohnke
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - O Grimm
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe-University, Frankfurt, Germany
| | - N Romanczuk-Seiferth
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - F Degenhardt
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - H Tost
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - S Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - M Nöthen
- Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany; Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - A Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - A Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - H Walter
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - S Erk
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany; Division of Mind and Brain Research, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany.
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Zhang HF, Mellor D, Peng DH. Neuroimaging genomic studies in major depressive disorder: A systematic review. CNS Neurosci Ther 2018; 24:1020-1036. [PMID: 29476595 DOI: 10.1111/cns.12829] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Revised: 01/19/2018] [Accepted: 01/27/2018] [Indexed: 01/06/2023] Open
Abstract
Genetic-neuroimaging studies could identify new potential endophenotypes of major depressive disorder (MDD). Morphological and functional alterations may be attributable to genetic factors that regulate neurogenesis and neurodegeneration. Given that the association between gene polymorphisms and brain morphology or function has varied across studies, this systematic review aims at evaluating and summarizing all available genetic-neuroimaging studies. Twenty-eight gene variants were evaluated in 64 studies by structural or functional magnetic resonance imaging. Significant genetic-neuroimaging associations were found in monoaminergic genes, BDNF genes, glutamatergic genes, HPA axis genes, and the other common genes, which were consistent with common hypotheses of the pathogenesis of MDD.
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Affiliation(s)
- Hui-Feng Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - David Mellor
- School of Psychology, Deakin University, Melbourne, Australia
| | - Dai-Hui Peng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Perry LM, Goldstein-Piekarski AN, Williams LM. Sex differences modulating serotonergic polymorphisms implicated in the mechanistic pathways of risk for depression and related disorders. J Neurosci Res 2017; 95:737-762. [PMID: 27870440 DOI: 10.1002/jnr.23877] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 07/12/2016] [Accepted: 07/14/2016] [Indexed: 12/27/2022]
Abstract
Despite consistent observations of sex differences in depression and related emotional disorders, we do not yet know how these sex differences modulate the effects of genetic polymorphisms implicated in risk for these disorders. This Mini-Review focuses on genetic polymorphisms of the serotonergic system to illustrate how sex differences might modulate the neurobiological pathways involved in the development of depression. We consider the interacting role of environmental factors such as early-life stress. Given limited current knowledge about this topic, we highlight methodological considerations, challenges, and guidelines for future research. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- LeeAnn M Perry
- Neurosciences Program, Stanford University, Stanford, California
| | - Andrea N Goldstein-Piekarski
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.,Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
| | - Leanne M Williams
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California.,Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California
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Yildirim BO, Derksen JJ. Systematic review, structural analysis, and new theoretical perspectives on the role of serotonin and associated genes in the etiology of psychopathy and sociopathy. Neurosci Biobehav Rev 2013; 37:1254-96. [DOI: 10.1016/j.neubiorev.2013.04.009] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2012] [Revised: 04/09/2013] [Accepted: 04/17/2013] [Indexed: 12/18/2022]
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Abstract
BACKGROUND In major depression, one of the candidate genes possibly affecting the risk and severity of symptoms has been found to be tryptophan hydroxylase (TPH1). Variation in treatment response to antidepressive agents according to TPH1 genotype has also been found in several studies. However, the relationship between temperament and TPH1 genotype in major depression is poorly understood, as only one study has been published so far. There are no earlier studies on the interaction between temperament traits, antidepressive medication response and TPH1 genotype. This interaction was studied in 97 subjects with major depression treated for six weeks with selective serotonine reuptake inhibitors. METHODS Temperament dimensions Harm Avoidance (HA), Novelty Seeking (NS), Reward Dependence (RD) and Persistence (P) scores at baseline (1) and endpoint (2) were rated with the Temperament and Character Inventory (TCI) and compared between TPH1 A218C genotypes. Multivariate analysis of co-variance (MANCOVA) was used to analyze the interaction between the TPH1 genotype, treatment response and the different temperament dimensions at baseline and endpoint. In the analysis model, treatment response was used as a covariate and TPH1 genotype as a factor. A post hoc analysis for an interaction between remission status and TPH1 A218C genotype at endpoint HA level was also performed. RESULTS The number of TPH1 A-alleles was associated with increasing levels in NS1 and NS2 scores and decreasing levels in HA1 and HA2 scores between TPH1 A218C genotypes. In the MANCOVA model, TPH1 genotype and treatment response had an interactive effect on both HA1 and HA2 scores, and to a lesser degree on NS2 scores. Additionally, an interaction between remission status and TPH1 A218C genotype was found to be associated with endpoint HA score, with a more marked effect of the interaction between CC genotype and remission status compared to A-allele carriers. CONCLUSIONS Our results suggest that in acute depression TPH1 A218C polymorphism and specifically the CC genotype together with the information on remission or treatment response differentiates between different temperament profiles and their changes.
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Woudstra S, Bochdanovits Z, van Tol MJ, Veltman DJ, Zitman FG, van Buchem MA, van der Wee NJ, Opmeer EM, Demenescu LR, Aleman A, Penninx BW, Hoogendijk WJ. Piccolo genotype modulates neural correlates of emotion processing but not executive functioning. Transl Psychiatry 2012; 2:e99. [PMID: 22832909 PMCID: PMC3337071 DOI: 10.1038/tp.2012.29] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Major depressive disorder (MDD) is characterized by affective symptoms and cognitive impairments, which have been associated with changes in limbic and prefrontal activity as well as with monoaminergic neurotransmission. A genome-wide association study implicated the polymorphism rs2522833 in the piccolo (PCLO) gene--involved in monoaminergic neurotransmission--as a risk factor for MDD. However, the role of the PCLO risk allele in emotion processing and executive function or its effect on their neural substrate has never been studied. We used functional magnetic resonance imaging (fMRI) to investigate PCLO risk allele carriers vs noncarriers during an emotional face processing task and a visuospatial planning task in 159 current MDD patients and healthy controls. In PCLO risk allele carriers, we found increased activity in the left amygdala during processing of angry and sad faces compared with noncarriers, independent of psychopathological status. During processing of fearful faces, the PCLO risk allele was associated with increased amygdala activation in MDD patients only. During the visuospatial planning task, we found no genotype effect on performance or on BOLD signal in our predefined areas as a function of increasing task load. The PCLO risk allele was found to be specifically associated with altered emotion processing, but not with executive dysfunction. Moreover, the PCLO risk allele appears to modulate amygdala function during fearful facial processing in MDD and may constitute a possible link between genotype and susceptibility for depression via altered processing of fearful stimuli. The current results may therefore aid in better understanding underlying neurobiological mechanisms in MDD.
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Affiliation(s)
- S Woudstra
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands.
| | - Z Bochdanovits
- Department of Medical Genomics, VU University Medical Center, Amsterdam, The Netherlands,Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | - M-J van Tol
- BCN Neuroimaging Center and Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,Leibniz Institute for Neurobiology, Otto von Guericke University, Magdeburg, Germany
| | - D J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands,Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | - F G Zitman
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - M A van Buchem
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands,Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N J van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands,Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - E M Opmeer
- BCN Neuroimaging Center and Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - L R Demenescu
- BCN Neuroimaging Center and Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,Department of Psychiatry and Psychotherapy, RWTH Aachen University, Aachen, Germany
| | - A Aleman
- BCN Neuroimaging Center and Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands,Department of Psychology, University of Groningen, Groningen, The Netherlands
| | - B W Penninx
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands,Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands,Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands,BCN Neuroimaging Center and Department of Neuroscience, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - W J Hoogendijk
- Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands,Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands,Department of Psychiatry, Erasmus MC, Rotterdam, The Netherlands
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Elliott R, Zahn R, Deakin JFW, Anderson IM. Affective cognition and its disruption in mood disorders. Neuropsychopharmacology 2011; 36:153-82. [PMID: 20571485 PMCID: PMC3055516 DOI: 10.1038/npp.2010.77] [Citation(s) in RCA: 202] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2010] [Revised: 04/23/2010] [Accepted: 05/03/2010] [Indexed: 01/13/2023]
Abstract
In this review, we consider affective cognition, responses to emotional stimuli occurring in the context of cognitive evaluation. In particular, we discuss emotion categorization, biasing of memory and attention, as well as social/moral emotion. We discuss limited neuropsychological evidence suggesting that affective cognition depends critically on the amygdala, ventromedial frontal cortex, and the connections between them. We then consider neuroimaging studies of affective cognition in healthy volunteers, which have led to the development of more sophisticated neural models of these processes. Disturbances of affective cognition are a core and specific feature of mood disorders, and we discuss the evidence supporting this claim, both from behavioral and neuroimaging perspectives. Serotonin is considered to be a key neurotransmitter involved in depression, and there is a considerable body of research exploring whether serotonin may mediate disturbances of affective cognition. The final section presents an overview of this literature and considers implications for understanding the pathophysiology of mood disorder as well as developing and evaluating new treatment strategies.
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Affiliation(s)
- Rebecca Elliott
- Neuroscience and Psychiatry Unit, School of Community-Based Medicine, University of Manchester, Manchester, UK.
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