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Ren X, White EJ, Nacke M, Mayeli A, Touthang J, Al Zoubi O, Kuplicki R, Victor TA, Paulus MP, Aupperle RL, Stewart JL. Blunted stimulus-preceding negativity during reward anticipation in major depressive disorder. J Affect Disord 2024; 362:779-787. [PMID: 39029684 PMCID: PMC11316661 DOI: 10.1016/j.jad.2024.07.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 06/24/2024] [Accepted: 07/14/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Reward processing dysfunction is a core characteristic of major depressive disorder (MDD), yet event-related potential (ERP) research in MDD has predominantly focused on reward receipt as opposed to anticipation. The stimulus-preceding negativity (SPN) ERP reflects anticipatory brain processing. This study examines whether individuals with MDD exhibit deficits during reward anticipation as evidenced by altered SPN amplitude. METHODS We assessed prefeedback-SPN amplitudes during a monetary incentive delay (MID) task in individuals with MDD (n = 142, 99 with comorbid anxiety disorders [MDD + ANX]) compared to Controls (n = 37). A mixed analysis of variance was performed on prefeedback-SPN amplitude and behavioral measures, with group (MDD, MDD + ANX, Control) as the between-subjects factor, and feedback (gain, loss) and electrode (F3, F4, Fz, C3, C4, Cz, P3, P4, Pz) as within-subjects factors. RESULTS A group main effect revealed faster reaction times for the Control group than MDD and MDD + ANX groups. A group x feedback interaction indicated that the MDD subgroup had smaller prefeedback-SPN amplitudes than MDD + ANX and Control groups when anticipating gain feedback. Additionally, individuals with current MDD, irrespective of past MDD and comorbid anxiety, exhibited smaller SPN amplitudes than Controls prior to gain feedback. LIMITATIONS The MID paradigm, designed for functional magnetic resonance imaging (fMRI) data acquisition, lacks optimization for ERP analysis. Moreover, the clinical groups included more females than the Control group. CONCLUSIONS Reduced resource allocation to reward anticipation may differentiate MDD from MDD + ANX and Control groups. Further investigation of the neural mechanisms of distinct MDD phenotypes is warranted.
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Affiliation(s)
- Xi Ren
- Laureate Institute for Brain Research, Tulsa, OK, United States.
| | - Evan J White
- Laureate Institute for Brain Research, Tulsa, OK, United States; Oxley College of Health and Natural Sciences, University of Tulsa, Tulsa, OK, United States
| | - Mariah Nacke
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Ahmad Mayeli
- Laureate Institute for Brain Research, Tulsa, OK, United States; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - James Touthang
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Obada Al Zoubi
- Laureate Institute for Brain Research, Tulsa, OK, United States; Department of Psychiatry, Harvard Medical School/McLean Hospital, Boston, MA, United States
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Teresa A Victor
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, United States; Oxley College of Health and Natural Sciences, University of Tulsa, Tulsa, OK, United States
| | - Robin L Aupperle
- Laureate Institute for Brain Research, Tulsa, OK, United States; Oxley College of Health and Natural Sciences, University of Tulsa, Tulsa, OK, United States
| | - Jennifer L Stewart
- Laureate Institute for Brain Research, Tulsa, OK, United States; Oxley College of Health and Natural Sciences, University of Tulsa, Tulsa, OK, United States
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Laubacher C, Imhoff-Smith TP, Klaus DR, Frye CJ, Esnault S, Busse WW, Rosenkranz MA. Salience network resting state functional connectivity during airway inflammation in asthma: A feature of mental health resilience? Brain Behav Immun 2024; 122:9-17. [PMID: 39097203 DOI: 10.1016/j.bbi.2024.07.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 07/07/2024] [Accepted: 07/28/2024] [Indexed: 08/05/2024] Open
Abstract
BACKGROUND Inflammation is an established contributor to the pathophysiology of depression and the prevalence of depression in those with chronic inflammatory disease is two- to four-fold higher than the general population. Yet little is known about the neurobiological changes that confer depression or resilience to depression, that occur when episodes of heightened inflammation are frequent or span many years. METHODS We used an innovative combination of longitudinal resting state functional magnetic resonance imaging coupled to segmental bronchial provocation with allergen (SBP-Ag) to assess changes in resting state functional connectivity (rsFC) of the salience network (SN) caused by an acute inflammatory exacerbation in twenty-six adults (15 female) with asthma and varying levels of depressive symptoms. Eosinophils measured in bronchoalveolar lavage fluid and blood provided an index of allergic inflammation and the Beck Depression Inventory provided an index of depressive symptoms. RESULTS We found that in those with the highest symptoms of depression at baseline, SN rsFC declined most from pre- to post-SBP-Ag in the context of a robust eosinophilic response to challenge, but in those with low depressive symptoms SN rsFC was maintained or increased, even in those with the most pronounced SBP-Ag response. CONCLUSIONS Thus, the maintenance of SN rsFC during inflammation may be a biomarker of resilience to depression, perhaps via more effective orchestration of large-scale brain network dynamics by the SN. These findings advance our understanding of the functional role of the SN during inflammation and inform treatment recommendations for those with comorbid inflammatory disease and depression.
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Affiliation(s)
- Claire Laubacher
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA
| | - Theodore P Imhoff-Smith
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, 600 Highland Ave, Madison, WI 53792, USA
| | - Danika R Klaus
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, 600 Highland Ave, Madison, WI 53792, USA
| | - Corrina J Frye
- Waisman Center, University of Wisconsin-Madison, 1500 Highland Ave, Madison, WI 53705, USA
| | - Stephane Esnault
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, 600 Highland Ave, Madison, WI 53792, USA; University of Lille, INSERM, CHU Lille, U1286 - INFINITE - Institute for Translational Research in Inflammation, F-59000 Lille, France
| | - William W Busse
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, 600 Highland Ave, Madison, WI 53792, USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA; Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd, Madison, WI 53719, USA.
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Guo H, Huang X, Wang C, Wang H, Bai X, Li Y. High-Order line graphs of fMRI data in major depressive disorder. Med Phys 2024; 51:5535-5549. [PMID: 38767470 DOI: 10.1002/mp.17119] [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: 07/20/2023] [Revised: 02/24/2024] [Accepted: 04/19/2024] [Indexed: 05/22/2024] Open
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (rs-fMRI) technology and the complex network theory can be used to elucidate the underlying mechanisms of brain diseases. The successful application of functional brain hypernetworks provides new perspectives for the diagnosis and evaluation of clinical brain diseases; however, many studies have not assessed the attribute information of hyperedges and could not retain the high-order topology of hypergraphs. In addition, the study of multi-scale and multi-layered organizational properties of the human brain can provide richer and more accurate data features for classification models of depression. PURPOSE This work aims to establish a more accurate classification framework for the diagnosis of major depressive disorder (MDD) using the high-order line graph algorithm. And accuracy, sensitivity, specificity, precision, F1 score are used to validate its classification performance. METHODS Based on rs-fMRI data from 38 MDD subjects and 28 controls, we constructed a human brain hypernetwork and introduced a line graph model, followed by the construction of a high-order line graph model. The topological properties under each order line graph were calculated to measure the classification performance of the model. Finally, intergroup features that showed significant differences under each order line graph model were fused, and a support vector machine classifier was constructed using multi-kernel learning. The Kolmogorov-Smirnov nonparametric permutation test was used as the feature selection method and the classification performance was measured with the leave-one-out cross-validation method. RESULTS The high-order line graph achieved a better classification performance compared with other traditional hypernetworks (accuracy = 92.42%, sensitivity = 92.86%, specificity = 92.11%, precision = 89.66%, F1 = 91.23%). Furthermore, the brain regions found in the present study have been previously shown to be associated with the pathology of depression. CONCLUSIONS This work validated the classification model based on the high-order line graph, which can better express the topological features of the hypernetwork by comprehensively considering the hyperedge information under different connection strengths, thereby significantly improving the classification accuracy of MDD. Therefore, this method has potential for use in the clinical diagnosis of MDD.
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Affiliation(s)
- Hao Guo
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Xiaoyan Huang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Chunyan Wang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Hao Wang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Xiaohe Bai
- School of Software, Taiyuan University of Technology, Taiyuan, China
| | - Yao Li
- School of Software, Taiyuan University of Technology, Taiyuan, China
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4
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Queirazza F, Cavanagh J, Philiastides MG, Krishnadas R. Mild exogenous inflammation blunts neural signatures of bounded evidence accumulation and reward prediction error processing in healthy male participants. Brain Behav Immun 2024; 119:197-210. [PMID: 38555987 DOI: 10.1016/j.bbi.2024.03.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Altered neural haemodynamic activity during decision making and learning has been linked to the effects of inflammation on mood and motivated behaviours. So far, it has been reported that blunted mesolimbic dopamine reward signals are associated with inflammation-induced anhedonia and apathy. Nonetheless, it is still unclear whether inflammation impacts neural activity underpinning decision dynamics. The process of decision making involves integration of noisy evidence from the environment until a critical threshold of evidence is reached. There is growing empirical evidence that such process, which is usually referred to as bounded accumulation of decision evidence, is affected in the context of mental illness. METHODS In a randomised, placebo-controlled, crossover study, 19 healthy male participants were allocated to placebo and typhoid vaccination. Three to four hours post-injection, participants performed a probabilistic reversal-learning task during functional magnetic resonance imaging. To capture the hidden neurocognitive operations underpinning decision-making, we devised a hybrid sequential sampling and reinforcement learning computational model. We conducted whole brain analyses informed by the modelling results to investigate the effects of inflammation on the efficiency of decision dynamics and reward learning. RESULTS We found that during the decision phase of the task, typhoid vaccination attenuated neural signatures of bounded evidence accumulation in the dorsomedial prefrontal cortex, only for decisions requiring short integration time. Consistent with prior work, we showed that, in the outcome phase, mild acute inflammation blunted the reward prediction error in the bilateral ventral striatum and amygdala. CONCLUSIONS Our study extends current insights into the effects of inflammation on the neural mechanisms of decision making and shows that exogenous inflammation alters neural activity indexing efficiency of evidence integration, as a function of choice discriminability. Moreover, we replicate previous findings that inflammation blunts striatal reward prediction error signals.
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Affiliation(s)
- Filippo Queirazza
- School of Health and Wellbeing, University of Glasgow, Glasgow G12 8TB, UK; School of Psychology and Neuroscience, University of Glasgow, Glasgow G12 8QB, UK.
| | - Jonathan Cavanagh
- School of Infection and Immunity, University of Glasgow, Glasgow G12 8TA, UK
| | | | - Rajeev Krishnadas
- School of Psychology and Neuroscience, University of Glasgow, Glasgow G12 8QB, UK; Department of Psychiatry, University of Cambridge, Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0AH, UK
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5
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Daskalakis NP, Iatrou A, Chatzinakos C, Jajoo A, Snijders C, Wylie D, DiPietro CP, Tsatsani I, Chen CY, Pernia CD, Soliva-Estruch M, Arasappan D, Bharadwaj RA, Collado-Torres L, Wuchty S, Alvarez VE, Dammer EB, Deep-Soboslay A, Duong DM, Eagles N, Huber BR, Huuki L, Holstein VL, Logue ΜW, Lugenbühl JF, Maihofer AX, Miller MW, Nievergelt CM, Pertea G, Ross D, Sendi MSE, Sun BB, Tao R, Tooke J, Wolf EJ, Zeier Z, Berretta S, Champagne FA, Hyde T, Seyfried NT, Shin JH, Weinberger DR, Nemeroff CB, Kleinman JE, Ressler KJ. Systems biology dissection of PTSD and MDD across brain regions, cell types, and blood. Science 2024; 384:eadh3707. [PMID: 38781393 PMCID: PMC11203158 DOI: 10.1126/science.adh3707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 04/05/2024] [Indexed: 05/25/2024]
Abstract
The molecular pathology of stress-related disorders remains elusive. Our brain multiregion, multiomic study of posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) included the central nucleus of the amygdala, hippocampal dentate gyrus, and medial prefrontal cortex (mPFC). Genes and exons within the mPFC carried most disease signals replicated across two independent cohorts. Pathways pointed to immune function, neuronal and synaptic regulation, and stress hormones. Multiomic factor and gene network analyses provided the underlying genomic structure. Single nucleus RNA sequencing in dorsolateral PFC revealed dysregulated (stress-related) signals in neuronal and non-neuronal cell types. Analyses of brain-blood intersections in >50,000 UK Biobank participants were conducted along with fine-mapping of the results of PTSD and MDD genome-wide association studies to distinguish risk from disease processes. Our data suggest shared and distinct molecular pathology in both disorders and propose potential therapeutic targets and biomarkers.
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Affiliation(s)
- Nikolaos P. Daskalakis
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Artemis Iatrou
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Chris Chatzinakos
- McLean Hospital; Belmont, MA, 02478, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, 11203, USA
- VA New York Harbor Healthcare System, Brooklyn, NY, 11209, USA
| | - Aarti Jajoo
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Clara Snijders
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Dennis Wylie
- Center for Biomedical Research Support, The University of Texas at Austin; Austin, TX, 78712, USA
| | - Christopher P. DiPietro
- McLean Hospital; Belmont, MA, 02478, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Ioulia Tsatsani
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
- Department of Psychiatry and Neuropsychology, School for Mental Health, and Neuroscience (MHeNs), Maastricht University, Maastricht, 6229 ER, The Netherlands
| | | | - Cameron D. Pernia
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Marina Soliva-Estruch
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
- Department of Psychiatry and Neuropsychology, School for Mental Health, and Neuroscience (MHeNs), Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Dhivya Arasappan
- Center for Biomedical Research Support, The University of Texas at Austin; Austin, TX, 78712, USA
| | - Rahul A. Bharadwaj
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Leonardo Collado-Torres
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Stefan Wuchty
- Departments of Computer Science, University of Miami, Miami, FL, 33146, USA
- Department of Biology, University of Miami, Miami, FL, 33146, USA
| | - Victor E. Alvarez
- Department of Neurology, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
- VA Bedford Healthcare System, Bedford, MA, 01730, USA
- National Posttraumatic Stress Disorder Brain Bank, VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Eric B Dammer
- Department of Biochemistry, Center for Neurodegenerative Disease, Emory School of Medicine; Atlanta GA, 30329, USA
| | - Amy Deep-Soboslay
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Duc M. Duong
- Department of Biochemistry, Center for Neurodegenerative Disease, Emory School of Medicine; Atlanta GA, 30329, USA
| | - Nick Eagles
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Bertrand R. Huber
- Department of Neurology, Boston University, Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
- National Posttraumatic Stress Disorder Brain Bank, VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Louise Huuki
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Vincent L Holstein
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | - Μark W. Logue
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, 02130, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Biomedical Genetics, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Justina F. Lugenbühl
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
- Department of Psychiatry and Neuropsychology, School for Mental Health, and Neuroscience (MHeNs), Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Adam X. Maihofer
- Department of Psychiatry, University of California San Diego; La Jolla, CA, 92093, USA
- Center for Excellence in Stress and Mental Health, Veterans Affairs San Diego Healthcare System; San Diego, CA, 92161, USA
- Research Service, Veterans Affairs San Diego Healthcare System; San Diego, CA, 92161, USA
| | - Mark W. Miller
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, 02130, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Caroline M Nievergelt
- Department of Psychiatry, University of California San Diego; La Jolla, CA, 92093, USA
- Center for Excellence in Stress and Mental Health, Veterans Affairs San Diego Healthcare System; San Diego, CA, 92161, USA
- Research Service, Veterans Affairs San Diego Healthcare System; San Diego, CA, 92161, USA
| | - Geo Pertea
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Deanna Ross
- Department of Psychology, University of Texas at Austin; Austin, TX, 78712, USA
| | - Mohammad S. E Sendi
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | | | - Ran Tao
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - James Tooke
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
| | - Erika J. Wolf
- National Center for PTSD, VA Boston Healthcare System, Boston, MA, 02130, USA
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, 02118, USA
| | - Zane Zeier
- Department of Psychiatry & Behavioral Sciences, Center for Therapeutic Innovation, University of Miami Miller School of Medicine; Miami, FL, 33136, USA
| | | | - Sabina Berretta
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard; Cambridge, MA, 02142, USA
| | | | - Thomas Hyde
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
| | - Nicholas T. Seyfried
- Department of Biochemistry, Center for Neurodegenerative Disease, Emory School of Medicine; Atlanta GA, 30329, USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
| | - Daniel R. Weinberger
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
- Department of Neurology, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
| | - Charles B. Nemeroff
- Department of Psychology, University of Texas at Austin; Austin, TX, 78712, USA
- Department of Psychiatry and Behavioral Sciences, University of Texas at Austin; Austin, TX, 78712, USA
| | - Joel E. Kleinman
- Lieber Institute for Brain Development; Johns Hopkins Medical Campus, Baltimore, MD, 21205, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine; Baltimore, MD, 21205, USA
| | - Kerry J. Ressler
- McLean Hospital; Belmont, MA, 02478, USA
- Department of Psychiatry, Harvard Medical School; Boston, MA, 02115, USA
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6
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Liu P, Liu Z, Wang J, Wang J, Gao M, Zhang Y, Yang C, Zhang A, Li G, Li X, Liu S, Liu L, Sun N, Zhang K. Immunoregulatory role of the gut microbiota in inflammatory depression. Nat Commun 2024; 15:3003. [PMID: 38589368 PMCID: PMC11001948 DOI: 10.1038/s41467-024-47273-w] [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: 07/09/2023] [Accepted: 03/26/2024] [Indexed: 04/10/2024] Open
Abstract
Inflammatory depression is a treatment-resistant subtype of depression. A causal role of the gut microbiota as a source of low-grade inflammation remains unclear. Here, as part of an observational trial, we first analyze the gut microbiota composition in the stool, inflammatory factors and short-chain fatty acids (SCFAs) in plasma, and inflammatory and permeability markers in the intestinal mucosa of patients with inflammatory depression (ChiCTR1900025175). Gut microbiota of patients with inflammatory depression exhibits higher Bacteroides and lower Clostridium, with an increase in SCFA-producing species with abnormal butanoate metabolism. We then perform fecal microbiota transplantation (FMT) and probiotic supplementation in animal experiments to determine the causal role of the gut microbiota in inflammatory depression. After FMT, the gut microbiota of the inflammatory depression group shows increased peripheral and central inflammatory factors and intestinal mucosal permeability in recipient mice with depressive and anxiety-like behaviors. Clostridium butyricum administration normalizes the gut microbiota, decreases inflammatory factors, and displays antidepressant-like effects in a mouse model of inflammatory depression. These findings suggest that inflammatory processes derived from the gut microbiota can be involved in neuroinflammation of inflammatory depression.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Key Laboratory of Cellular Physiology (Shanxi Medical University), Ministry of Education, Taiyuan, 030001, PR China
| | - Jizhi Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Junyan Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Mingxue Gao
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Yanyan Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Xinrong Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Sha Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Medical University, Taiyuan, 030001, PR China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Lixin Liu
- Experimental Center of Science and Research, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Medical University, Taiyuan, 030001, PR China.
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, 030001, PR China.
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7
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Treadway M, Etuk S, Cooper J, Hossein S, Hahn E, Betters S, Liu S, Arulpragasam A, DeVries B, Irfan N, Nuutinen M, Wommack E, Woolwine B, Bekhbat M, Kragel P, Felger J, Haroon E, Miller A. A randomized proof-of-mechanism trial of TNF antagonism for motivational anhedonia and related corticostriatal circuitry in depressed patients with high inflammation. RESEARCH SQUARE 2024:rs.3.rs-3957252. [PMID: 38496406 PMCID: PMC10942546 DOI: 10.21203/rs.3.rs-3957252/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Chronic, low-grade inflammation has been associated with motivational deficits in patients with major depression (MD). In turn, impaired motivation has been linked to poor quality of life across psychiatric disorders. We thus determined effects of the anti-inflammatory drug infliximab-a potent tumor necrosis factor (TNF) antagonist-on behavioral and neural measures of motivation in 42 medically stable, unmedicated MD patients with a C-reactive protein > 3mg/L. All patients underwent a double-blind, placebo-controlled, single-dose, randomized clinical trial with infliximab (5mg/kg) versus placebo. Behavioral performance on an effort-based decision-making task, self-report questionnaires, and neural responses during event-related functional magnetic resonance imaging were assessed at baseline and 2 weeks following infusion. We found that relative to placebo, patients receiving infliximab were more willing to expend effort for rewards. Moreover, increase in effortful choices was associated with reduced TNF signaling as indexed by decreased soluble TNF receptor type 2 (sTNFR2). Changes in effort-based decision-making and sTNFR2 were also associated with changes in task-related activity in a network of brain areas, including dmPFC, ventral striatum, and putamen, as well as the functional connectivity between these regions. Changes in sTNFR2 also mediated the relationships between drug condition and behavioral and neuroimaging measures. Finally, changes in self-reported anhedonia symptoms and effort-discounting behavior were associated with greater responses of an independently validated whole-brain predictive model (aka "neural signature") sensitive to monetary rewards. Taken together, these data support the use of anti-inflammatory treatment to improve effort-based decision-making and associated brain circuitry in depressed patients with high inflammation.
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8
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Bore MC, Liu X, Gan X, Wang L, Xu T, Ferraro S, Li L, Zhou B, Zhang J, Vatansever D, Biswal B, Klugah-Brown B, Becker B. Distinct neurofunctional alterations during motivational and hedonic processing of natural and monetary rewards in depression - a neuroimaging meta-analysis. Psychol Med 2024; 54:639-651. [PMID: 37997708 DOI: 10.1017/s0033291723003410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
Reward processing dysfunctions are considered a candidate mechanism underlying anhedonia and apathy in depression. Neuroimaging studies have documented that neurofunctional alterations in mesocorticolimbic circuits may neurally mediate these dysfunctions. However, common and distinct neurofunctional alterations during motivational and hedonic evaluation of monetary and natural rewards in depression have not been systematically examined. Here, we capitalized on pre-registered neuroimaging meta-analyses to (1) establish general reward-related neural alterations in depression, (2) determine common and distinct alterations during the receipt and anticipation of monetary v. natural rewards, and, (3) characterize the differences on the behavioral, network, and molecular level. The pre-registered meta-analysis (https://osf.io/ay3r9) included 633 depressed patients and 644 healthy controls and revealed generally decreased subgenual anterior cingulate cortex and striatal reactivity toward rewards in depression. Subsequent comparative analyses indicated that monetary rewards led to decreased hedonic reactivity in the right ventral caudate while natural rewards led to decreased reactivity in the bilateral putamen in depressed individuals. These regions exhibited distinguishable profiles on the behavioral, network, and molecular level. Further analyses demonstrated that the right thalamus and left putamen showed decreased activation during the anticipation of monetary reward. The present results indicate that distinguishable neurofunctional alterations may neurally mediate reward-processing alterations in depression, in particular, with respect to monetary and natural rewards. Given that natural rewards prevail in everyday life, our findings suggest that reward-type specific interventions are warranted and challenge the generalizability of experimental tasks employing monetary incentives to capture reward dysregulations in everyday life.
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Affiliation(s)
- Mercy Chepngetich Bore
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiqin Liu
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xianyang Gan
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Lan Wang
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Ting Xu
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Stefania Ferraro
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Liyuan Li
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Bo Zhou
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Deniz Vatansever
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Bharat Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Benjamin Klugah-Brown
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Benjamin Becker
- Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
- MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
- Department of Psychology, The University of Hong Kong, Hong Kong, China
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9
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Peng RJ, Fan Y, Li J, Zhu F, Tian Q, Zhang XB. Abnormalities of electroencephalography microstates in patients with depression and their association with cognitive function. World J Psychiatry 2024; 14:128-140. [PMID: 38327889 PMCID: PMC10845229 DOI: 10.5498/wjp.v14.i1.128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 11/09/2023] [Accepted: 12/22/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND A growing number of recent studies have explored underlying activity in the brain by measuring electroencephalography (EEG) in people with depression. However, the consistency of findings on EEG microstates in patients with depression is poor, and few studies have reported the relationship between EEG microstates, cognitive scales, and depression severity scales. AIM To investigate the EEG microstate characteristics of patients with depression and their association with cognitive functions. METHODS A total of 24 patients diagnosed with depression and 32 healthy controls were included in this study using the Structured Clinical Interview for Disease for The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. We collected information relating to demographic and clinical characteristics, as well as data from the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS; Chinese version) and EEG. RESULTS Compared with the controls, the duration, occurrence, and contribution of microstate C were significantly higher [depression (DEP): Duration 84.58 ± 24.35, occurrence 3.72 ± 0.56, contribution 30.39 ± 8.59; CON: Duration 72.77 ± 10.23, occurrence 3.41 ± 0.36, contribution 24.46 ± 4.66; Duration F = 6.02, P = 0.049; Occurrence F = 6.19, P = 0.049; Contribution F = 10.82, P = 0.011] while the duration, occurrence, and contribution of microstate D were significantly lower (DEP: Duration 70.00 ± 15.92, occurrence 3.18 ± 0.71, contribution 22.48 ± 8.12; CON: Duration 85.46 ± 10.23, occurrence 3.54 ± 0.41, contribution 28.25 ± 5.85; Duration F = 19.18, P < 0.001; Occurrence F = 5.79, P = 0.050; Contribution F = 9.41, P = 0.013) in patients with depression. A positive correlation was observed between the visuospatial/constructional scores of the RBANS scale and the transition probability of microstate class C to B (r = 0.405, P = 0.049). CONCLUSION EEG microstate, especially C and D, is a possible biomarker in depression. Patients with depression had a more frequent transition from microstate C to B, which may relate to more negative rumination and visual processing.
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Affiliation(s)
- Rui-Jie Peng
- Suzhou Medical College, Soochow University, Suzhou 215123, Jiangsu Province, China
| | - Yu Fan
- Department of Psychiatry, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Jin Li
- Department of Psychiatry, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Feng Zhu
- Department of Psychiatry, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Qing Tian
- Department of Psychiatry, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
| | - Xiao-Bin Zhang
- Department of Psychiatry, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou 215137, Jiangsu Province, China
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10
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Boyle CC, Bower JE, Eisenberger NI, Irwin MR. Stress to inflammation and anhedonia: Mechanistic insights from preclinical and clinical models. Neurosci Biobehav Rev 2023; 152:105307. [PMID: 37419230 DOI: 10.1016/j.neubiorev.2023.105307] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 06/30/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
Anhedonia, as evidenced by impaired pleasurable response to reward, reduced reward motivation, and/or deficits in reward-related learning, is a common feature of depression. Such deficits in reward processing are also an important clinical target as a risk factor for depression onset. Unfortunately, reward-related deficits remain difficult to treat. To address this gap and inform the development of effective prevention and treatment strategies, it is critical to understand the mechanisms that drive impairments in reward function. Stress-induced inflammation is a plausible mechanism of reward deficits. The purpose of this paper is to review evidence for two components of this psychobiological pathway: 1) the effects of stress on reward function; and 2) the effects of inflammation on reward function. Within these two areas, we draw upon preclinical and clinical models, distinguish between acute and chronic effects of stress and inflammation, and address specific domains of reward dysregulation. By addressing these contextual factors, the review reveals a nuanced literature which might be targeted for additional scientific inquiry to inform the development of precise interventions.
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Affiliation(s)
- Chloe C Boyle
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA.
| | - Julienne E Bower
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA; Department of Psychology, UCLA, Los Angeles, CA, USA
| | | | - Michael R Irwin
- Norman Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, UCLA, USA
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11
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Rengasamy M, Moriarity D, Kraynak T, Tervo-Clemmens B, Price R. Exploring the multiverse: the impact of researchers' analytic decisions on relationships between depression and inflammatory markers. Neuropsychopharmacology 2023; 48:1465-1474. [PMID: 37336935 PMCID: PMC10425405 DOI: 10.1038/s41386-023-01621-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/28/2023] [Accepted: 05/23/2023] [Indexed: 06/21/2023]
Abstract
In recent years, a replication crisis in psychiatry has led to a growing focus on the impact of researchers' analytic decisions on the results from studies. Multiverse analyses involve examining results across a wide array of possible analytic decisions (e.g., log-transforming variables, number of covariates, or treatment of outliers) and identifying if study results are robust to researchers' analytic decisions. Studies have begun to use multiverse analysis for well-studied relationships that have some heterogeneity in results/conclusions across studies.We examine the well-studied relationship between peripheral inflammatory markers (PIMs; e.g., white blood cell count (WBC) and C-reactive protein (CRP)) and depression severity in the large NHANES dataset (n = 25,962). Specification curve analyses tested the impact of 9 common analytic decisions (comprising of 58,000+ possible combinations) on the association of PIMs and depression severity. Relationships of PIMs and total depression severity are robust to analytic decisions (based on tests of inference jointly examining effect sizes and p-values). However, moderate/large differences are noted in effect sizes based on analytic decisions and the majority of analyses do not result in significant findings, with the percentage of analyses with statistically significant results being 46.1% for WBC and 43.8% for CRP. For associations of PIMs with specific symptoms of depression, some associations (e.g., sleep, appetite) in males (but not females) were robust to analytic decisions. We discuss how multiverse analyses can be used to guide research and also the need for authors, reviewers, and editors to incorporate multiverse analyses to enhance replicability of research findings.
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Affiliation(s)
- Manivel Rengasamy
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Daniel Moriarity
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Thomas Kraynak
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Rebecca Price
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
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12
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Burrows K, McNaughton BA, Figueroa-Hall LK, Spechler PA, Kuplicki R, Victor TA, Aupperle R, Khalsa SS, Savitz JB, Teague TK, Paulus MP, Stewart JL. Elevated serum leptin is associated with attenuated reward anticipation in major depressive disorder independent of peripheral C-reactive protein levels. Sci Rep 2023; 13:11313. [PMID: 37443383 PMCID: PMC10344903 DOI: 10.1038/s41598-023-38410-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 07/07/2023] [Indexed: 07/15/2023] Open
Abstract
Major depressive disorder (MDD) is associated with immunologic and metabolic alterations linked to central processing dysfunctions, including attenuated reward processing. This study investigated the associations between inflammation, metabolic hormones (leptin, insulin, adiponectin), and reward-related brain processing in MDD patients with high (MDD-High) and low (MDD-Low) C-reactive protein (CRP) levels compared to healthy comparison subjects (HC). Participants completed a blood draw and a monetary incentive delay task during functional magnetic resonance imaging. Although groups did not differ in insulin or adiponectin concentrations, both MDD-High (Wilcoxon p = 0.004, d = 0.65) and MDD-Low (Wilcoxon p = 0.046, d = 0.53) showed higher leptin concentrations than HC but did not differ from each other. Across MDD participants, higher leptin levels were associated with lower brain activation during reward anticipation in the left insula (r = - 0.30, p = 0.004) and left dorsolateral putamen (r = -- 0.24, p = 0.025). In contrast, within HC, higher leptin concentrations were associated with higher activation during reward anticipation in the same regions (insula: r = 0.40, p = 0.007; putamen: r = 0.37, p = 0.014). Depression may be characterized by elevated pro-inflammatory signaling via leptin concentrations through alternate inflammatory pathways distinct to CRP.
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Affiliation(s)
- Kaiping Burrows
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA.
| | - Breanna A McNaughton
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
| | - Leandra K Figueroa-Hall
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - Philip A Spechler
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
| | - Teresa A Victor
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
| | - Robin Aupperle
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - Sahib S Khalsa
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - Jonathan B Savitz
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - T Kent Teague
- Departments of Surgery and Psychiatry, School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA
- Department of Biochemistry and Microbiology, The Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
- Department of Pharmaceutical Sciences, The University of Oklahoma College of Pharmacy, Oklahoma City, OK, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - Jennifer L Stewart
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
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13
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Mueller C, Szaflarski JP. White matter microstructure and serum biomarkers of inflammation in psychogenic non-epileptic seizures. Neuroimage Clin 2023; 39:103462. [PMID: 37413772 PMCID: PMC10509528 DOI: 10.1016/j.nicl.2023.103462] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/14/2023] [Accepted: 06/22/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Neuroinflammation may contribute to the pathophysiology of psychogenic non-epileptic seizures (PNES). However, it is unclear whether and to what degree comorbid psychiatric symptoms explain this association. In this study, we investigated the neuroinflammatory signature of PNES and how it compares to that of people with psychiatric conditions (PwPCs). METHODS We prospectively assessed differences in neurite density (NDI), orientation dispersion (ODI), and isotropic diffusion (F-ISO) in 23 participants with PNES and 27 PwPCs, and their relationships to serum levels of tumor necrosis factor (TNF)-α, TNF receptor 1 (TNF-R1), TNF-related apoptosis-inducing ligand (TRAIL), interleukin (IL)-6, intercellular adhesion molecule (ICAM)-1, and monocyte chemoattractant protein (MCP)-1 using voxelwise multiple linear regressions. Pearson correlations between serum biomarkers and clinical symptoms were also obtained. RESULTS There were no white matter (WM) microstructural differences between groups. In PNES, TNF-R1 was negatively associated with NDI in the right uncinate fasciculus (UF) and positively associated with F-ISO in the left UF. IL-6 was positively associated with NDI and negatively with F-ISO in the left UF. ICAM-1 was positively associated with ODI in the left UF. TNF-α was negatively associated with ODI in the left cingulum bundle. The opposite relationships were observed in PwPCs. Higher TNF-R1 was associated with higher depression, anxiety, lower emotional quality of life, and higher levels of disability in PNES. CONCLUSIONS For the first time, we report relationships between peripheral inflammatory biomarkers and WM integrity in PNES, including abnormalities in the UF and cingulum bundle. Our results suggest that serum biomarkers of inflammation may, with additional studies, become a useful aid to PNES diagnosis, especially in settings where video-EEG is not available. The lack of group differences in WM microstructure suggests that previously identified WM abnormalities in PNES versus healthy controls may be related to psychological comorbidities of PNES.
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Affiliation(s)
- Christina Mueller
- Department of Neurology, University of Alabama at Birmingham (UAB), Heersink School of Medicine, Birmingham, AL, USA.
| | - Jerzy P Szaflarski
- Department of Neurology, University of Alabama at Birmingham (UAB), Heersink School of Medicine, Birmingham, AL, USA; Departments of Neurobiology and Neurosurgery, University of Alabama at Birmingham (UAB), Heersink School of Medicine, Birmingham, AL, USA.
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14
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Benson S, Labrenz F, Kotulla S, Brotte L, Rödder P, Tebbe B, Theysohn N, Engler H, Elsenbruch S. Amplified gut feelings under inflammation and depressed mood: A randomized fMRI trial on interoceptive pain in healthy volunteers. Brain Behav Immun 2023:S0889-1591(23)00147-2. [PMID: 37302437 DOI: 10.1016/j.bbi.2023.06.005] [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: 01/16/2023] [Revised: 05/26/2023] [Accepted: 06/04/2023] [Indexed: 06/13/2023] Open
Abstract
BACKGROUND Inflammation and depressed mood constitute clinically relevant vulnerability factors for enhanced interoceptive sensitivity and chronic visceral pain, but their putative interaction remains untested in human mechanistic studies. We tested interaction effects of acute systemic inflammation and sad mood on the expectation and experience of visceral pain by combining experimental endotoxemia with a mood induction paradigm. METHODS The double-blind, placebo-controlled, balanced crossover fMRI-trial in N=39 healthy male and female volunteers involved 2 study days with either intravenous administration of low-dose lipopolysaccharide (LPS, 0.4ng/kg body weight; inflammation condition) or saline (placebo condition). On each study, day two scanning sessions were conducted in an experimentally induced negative (i.e., sad) and in a neutral mood state, accomplished in balanced order. As a model of visceral pain, rectal distensions were implemented, which were initially calibrated to be moderately painful. In all sessions, an identical series of visceral pain stimuli was accomplished, signaled by predictive visual conditioning cues to assess pain anticipation. We assessed neural activation during the expectation and experience of visceral pain, along with unpleasantness ratings in a condition combining an inflammatory state with sad mood and in control conditions. All statistical analyses were accomplished using sex as covariate. RESULTS LPS administration led to an acute systemic inflammatory response (inflammation X time interaction effects for TNF-α, IL-6, and sickness symptoms, all p<.001). The mood paradigm effectively induced distinct mood states (mood X time interaction, p<.001), with greater sadness in the negative mood conditions (both p<.001) but no difference between LPS and saline conditions. Significant main and interaction effects of inflammation and negative mood were observed for pain unpleasantness (all p<.05). During cued pain anticipation, a significant inflammation X mood interaction emerged for activation of the bilateral caudate nucleus and right hippocampus (all pFWE<.05). Main effects of both inflammation and mood were observed in multiple regions, including insula, midcingulate cortex, prefrontal gyri, and hippocampus for inflammation, and midcingulate, caudate, and thalamus for mood (all pFWE<0.05). CONCLUSIONS Results support an interplay of inflammation and sad mood on striatal and hippocampal circuitry engaged during visceral pain anticipation as well as on pain experience. This may reflect a nocebo mechanism, which may contribute to altered perception and interpretation of bodily signals. At the interface of affective neuroscience and the gut-brain axis, concurrent inflammation and negative mood may be vulnerability factors for chronic visceral pain.
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Affiliation(s)
- Sven Benson
- Institute of Medical Psychology and Behavioral Immunobiology, Center for Translational and Behavioral Neuroscience, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; Institute for Medical Education, University Hospital Essen, Center for Translational and Behavioral Neuroscience, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
| | - Franziska Labrenz
- Department of Medical Psychology and Medical Sociology, Ruhr University Bochum
| | - Simone Kotulla
- Institute of Medical Psychology and Behavioral Immunobiology, Center for Translational and Behavioral Neuroscience, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Lisa Brotte
- Institute of Medical Psychology and Behavioral Immunobiology, Center for Translational and Behavioral Neuroscience, University Hospital Essen, University of Duisburg-Essen, Essen, Germany; Department of Neurology, Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Philipp Rödder
- Department of Trauma, Hand, and Reconstructive Surgery, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Bastian Tebbe
- Department of Nephrology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Nina Theysohn
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Harald Engler
- Institute of Medical Psychology and Behavioral Immunobiology, Center for Translational and Behavioral Neuroscience, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sigrid Elsenbruch
- Department of Medical Psychology and Medical Sociology, Ruhr University Bochum; Department of Neurology, Center for Translational Neuro- and Behavioral Sciences, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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15
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Rádosi A, Ágrez K, Pászthy B, Réthelyi JM, Ulbert I, Bunford N. Concurrent and Prospective Associations of Reward Response with Affective and Alcohol Problems: ADHD-Related Differential Vulnerability. J Youth Adolesc 2023:10.1007/s10964-023-01794-7. [PMID: 37270465 DOI: 10.1007/s10964-023-01794-7] [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: 03/06/2023] [Accepted: 05/19/2023] [Indexed: 06/05/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous disorder. Data on the role of transdiagnostic, intermediate phenotypes in ADHD-relevant characteristics and outcomes are needed to advance conceptual understanding and approaches to precision psychiatry. Specifically, the extent to which the association between neural response to reward and ADHD-associated affective, externalizing, internalizing, and substance use problems differ depending on ADHD status is unknown. Aims were to examine, in 129 adolescents, whether concurrent and prospective associations of fMRI-measured initial response to reward attainment (relative to loss) with affectivity and externalizing, internalizing, and alcohol use problems differs between youth at-risk for (i.e., subclinical) (n = 50) and not at-risk for ADHD. Adolescents were, on average, 15.29 years old (SD = 1.00; 38% female), 50 were at-risk for (Mage = 15.18 years, SD = 1.04; 22% female) and 79 not at-risk for (Mage = 15.37 years, SD = 0.98; 48.1% female) ADHD. Both concurrent and prospective relations differed given ADHD risk: across analyses, in at-risk youth, greater superior frontal gyrus response was associated with lower concurrent depressive problems but in not at-risk youth, these characteristics were not related. Controlling for baseline use, in at-risk youth, greater putamen response was associated with greater 18-month hazardous alcohol use, whereas in not at-risk youth, greater putamen response was associated with lower use. Where in brain and for which outcomes modulate (direction of) observed relations: superior frontal gyrus response is relevant for depressive problems whereas putamen response is relevant for alcohol problems and greater neural responsivity is linked to less depressive but to more alcohol problems in adolescents at-risk for ADHD and less alcohol problems in adolescents not at-risk. Differences in neural response to reward differentially confer vulnerability for adolescent depressive and alcohol problems depending on ADHD risk.
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Affiliation(s)
- Alexandra Rádosi
- Clinical and Developmental Neuropsychology Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
- Doctoral School of Mental Health Sciences, Semmelweis University, Budapest, Hungary
| | - Kristóf Ágrez
- Clinical and Developmental Neuropsychology Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
| | - Bea Pászthy
- Department of Pediatrics, Semmelweis University, Budapest, Hungary
| | - János M Réthelyi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - István Ulbert
- Integrative Neuroscience Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
| | - Nóra Bunford
- Clinical and Developmental Neuropsychology Research Group, Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
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16
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Huang X, Sun Y, Wu A, Zhang XY. Prevalence and clinical profile of abnormal glucose in first-episode and drug-naïve patients with major depressive disorder with comorbid abnormal thyroid function: a large-scale cross-sectional study. BMC Psychiatry 2023; 23:362. [PMID: 37226146 DOI: 10.1186/s12888-023-04842-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 05/04/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND The associated factors of abnormal glucose in patients with major depressive disorder (MDD) with comorbid abnormal thyroid function (ATF) remain unclear. To the best of our knowledge, this is the first study with a large sample size that examines the risk factors of abnormal glucose in first-episode drug-naïve (FEDN) MDD patients comorbid with ATF and includes clinical correlates and thyroid hormone levels. METHODS A total of 1718 FEDN MDD patients were recruited. The Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Positive and Negative Syndrome Scale (PANSS) positive subscale were used to evaluate the symptoms of patients. Fasting blood glucose concentration and thyroid hormone levels were measured. RESULTS The prevalence of abnormal glucose in MDD patients with comorbid ATF was 47.3%, which was 4.25 times higher than that in MDD patients without ATF (17.4%). Compared to those ATF patients without abnormal glucose, ATF patients with abnormal glucose scored higher on HAMD, HAMA and PANSS positive subscale, had a higher rate of suicide attempts, severe anxiety and psychotic symptoms, and had higher levels of thyroid-stimulating hormone (TSH), and thyroid peroxidases antibody (TPOAb) which were also correlated with abnormal glucose in MDD patients comorbid ATF (all P < 0.05). The combination of HAMD score and TSH could differentiate abnormal glucose from ATF. Further, TSH was independence-related with the concentration of fasting blood glucose in MDD patients with comorbid ATF. CONCLUSION Our results demonstrate a high prevalence of abnormal glucose in MDD patients with comorbid ATF. Some clinical and thyroid function-related variables may be associated with abnormal glucose in MDD patients with comorbid ATF.
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Affiliation(s)
- Xiao Huang
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Workers' Stadium South Road, Beijing, Chaoyang, 100020, China
| | - Yuan Sun
- Department of Pharmacy, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Workers' Stadium South Road, Beijing, Chaoyang, 100020, China
| | - Anshi Wu
- Department of Anesthesiology, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Workers' Stadium South Road, Beijing, Chaoyang, 100020, China
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Rd, Beijing, 100101, China.
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17
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Grodin EN, Meredith LR, Burnette EM, Miotto K, Irwin MR, Ray LA. Baseline C-reactive protein levels are predictive of treatment response to a neuroimmune modulator in individuals with an alcohol use disorder: a preliminary study. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2023; 49:333-344. [PMID: 36282988 PMCID: PMC10840759 DOI: 10.1080/00952990.2022.2124918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/07/2022] [Accepted: 09/12/2022] [Indexed: 01/25/2023]
Abstract
Background: Inflammation is implicated in alcohol use disorder (AUD). Ibudilast, a neuroimmune modulator, shows promise for the treatment of AUD. Elevated inflammation, indicated by high levels of C-reactive protein (CRP), represents a possible subtype of AUD, which may be associated with treatment response to ibudilast.Objectives: The current study evaluated CRP as a predictor of treatment response to ibudilast; hypothesizing that ibudilast would be more effective at reducing drinking and alcohol cue-reactivity in individuals with higher CRP levels.Methods: This is a secondary analysis of a clinical trial of ibudilast for AUD, which found that ibudilast reduced heavy drinking in individuals with AUD. Fifty-one individuals were randomized to receive ibudilast (n = 24 [16 M/8F]) or placebo (n = 27 [18 M/9F]) for two weeks. Participants provided blood samples at baseline to assess CRP levels, completed daily assessments of alcohol use, and an fMRI alcohol cue-reactivity task at study mid-point. Models tested the effects of medication, CRP levels, and their interaction on drinks per drinking day and alcohol cue-reactivity.Results: There was a significant interaction between medication and CRP (F = 3.80, p = .03), such that the ibudilast high CRP group had fewer drinks per drinking day compared to the ibudilast low CRP group. CRP moderated the effect of medication on brain activation in a cluster extending from the left inferior frontal gyrus to the right-dorsal striatum (Z = 4.55, p < .001). This interaction was driven by attenuated cue-reactivity in the ibudilast high CRP group relative to the ibudilast low CRP and placebo high CRP groups.Conclusions: This study serves as an initial investigation into predictors of clinical response to ibudilast treatment and suggests that a baseline proinflammatory profile may enhance clinical efficacy.
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Affiliation(s)
- Erica N. Grodin
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
| | - Lindsay R. Meredith
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
| | - Elizabeth M. Burnette
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
- Neuroscience Interdepartmental Program, University of California at Los Angeles, Los Angeles, CA
| | - Karen Miotto
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA
| | - Michael R. Irwin
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA
- Jane & Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA
- Cousins Center for Psychoneuroimmunology, University of California at Los Angeles, Los Angeles, CA
| | - Lara A. Ray
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA
- Brain Research Institute, University of California, Los Angeles, CA
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18
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O'Shields JD, Graves BD, Mowbray OP. Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis. Brain Behav Immun Health 2023; 29:100611. [PMID: 36937648 PMCID: PMC10017358 DOI: 10.1016/j.bbih.2023.100611] [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: 09/26/2022] [Revised: 01/25/2023] [Accepted: 02/27/2023] [Indexed: 03/05/2023] Open
Abstract
Background Efforts to improve treatment for adults with major depression (MD) and childhood maltreatment (CM) have identified inflammation as a potential target to improve health. Network models have emerged as a new way to understand the relationship between depressive symptoms and inflammation. However, none have accounted for the role of childhood maltreatment in the link between depressive symptoms and inflammation, or sex differences commonly found in these constructs. Methods Data from two waves of the Midlife Development in the United States study were used in this study (N = 1917). The Center for Epidemiological Studies Depression (CES-D) scale and Childhood Trauma Questionnaire, and six inflammation markers served as nodes in an undirected psychometric network analysis. Edges between nodes were calculated using partial Spearman's correlation. Separate networks were modeled for males and females. Results The total network revealed several associations between nodes of CM, MD, and inflammation, with emotional abuse having a strong association with somatic complaints. Network comparison testing revealed male-female network invariance, with several edge differences between male and female networks. Males and females showed differences in associations across inflammatory markers and depressive symptom clusters, particularly among somatic complaints and interpersonal difficulties. Conclusions Specific associations between dimensions of inflammation, CM, and MD may represent important targets for treatment. Network models disaggregated by sex showed that males and females may have fundamentally different associations between these constructs, suggesting that future studies should consider sex-specific interventions.
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Affiliation(s)
- Jay D. O'Shields
- Corresponding author. University of Georgia, School of Social Work, 279 Williams Street, Athens, GA, 30602, USA.
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19
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Chat IKY, Mac Giollabhui N, Bart CP, Graham AA, Coe CL, Abramson LY, Olino TM, Alloy LB. Concurrent and prospective associations of inflammatory signaling, specific depressive symptoms, and substance use in adolescence. Brain Behav Immun 2023; 110:85-94. [PMID: 36822378 PMCID: PMC10106427 DOI: 10.1016/j.bbi.2023.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 01/28/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Substance use and depression frequently co-occur. Adolescence appears to be a vulnerable developmental period for increases in both substance use and depressive symptoms, often attributed to rapid maturation of reward and motivation systems. Another contributing factor could be inflammatory signaling, which has been associated with both substance use disorder and depression. Prior research indicates that an increase in inflammatory activity can cause physical and emotional malaise, which resembles depression, and the anhedonia and somatic symptoms could lead to substance use. This perspective that substance use is a type of self-medication in response to anhedonia and subjective experiencing of increased inflammatory physiology has not been investigated previously. To test these associations, we used path analysis to examine concurrent and prospective associations between three pro-inflammatory markers, specific depressive symptoms, and substance use frequency in a diverse sample of older adolescents. Participants completed repeated self-report measures of specific depressive symptoms (i.e., dysphoria, anhedonia, somatic concerns, negative cognitions, and functional difficulties) and substance use frequency. Blood was collected to quantify circulating levels of interleukin (IL)-6, tumor necrosis factor-alpha (TNF-α), and C-reactive protein (CRP). This analysis showed an indirect effect of IL-6 and TNF-α levels on future substance use, but only via functional difficulties. Substance use also predicted future functional difficulties. Only anhedonia directly predicted future substance use frequency. These findings help to more precisely identify pathways through which inflammatory physiology and specific depressive symptoms synergistically confer risk for substance use.
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Affiliation(s)
- Iris Ka-Yi Chat
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
| | - Naoise Mac Giollabhui
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
| | - Corinne P Bart
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
| | - Amber A Graham
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
| | - Christopher L Coe
- Department of Psychology, University of Wisconsin-Madison, United States
| | - Lyn Y Abramson
- Department of Psychology, University of Wisconsin-Madison, United States
| | - Thomas M Olino
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States
| | - Lauren B Alloy
- Department of Psychology and Neuroscience, Temple University, Philadelphia, PA, United States.
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20
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Rengasamy M, Nance M, Eckstrand K, Forbes E. Splitting the reward: Differences in inflammatory marker associations with neural connectivity between reward anticipation and reward outcome in adolescents at high risk for depression. J Affect Disord 2023; 327:128-136. [PMID: 36736795 DOI: 10.1016/j.jad.2023.01.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 01/22/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND Adolescent depression is associated with both dysfunction in neural reward processing and peripheral inflammatory markers (PIMs), such as interleukin-6 (IL-6), C-reactive-protein (CRP), and tumor-necrosis factor alpha (TNFα). Few adolescent studies have examined neural-inflammatory marker associations and associated behavioral correlates, which would contribute to a better understanding of developmental processes linked to depression. METHODS 36 adolescents at high risk of depression completed an fMRI reward task (during anticipation and outcome), blood draw for PIMs (IL-6, CRP, and TNFα), and a behavioral task assessing motivation to expend effort. Analyses examined associations of task-dependent functional connectivity (FC; ventral striatum to frontal and default mode network brain regions), and if the interaction of PIMs and task-dependent FC predicted motivation to expend effort. RESULTS For anticipation contrast, TNFα was associated with increased task-dependent FC between the LVS and PCC/vmPFC. In moderation analyses, for anticipation contrasts, the combination of higher IL-6 and stronger FC (LVS-precuneus/PCC) was associated with lower motivation to expend effort, while for outcome contrasts, the combination of higher IL-6 and stronger FC (VS-precuneus/PCC) was associated with greater motivation to expend effort. CONCLUSIONS Our findings in adolescents during an important developmental time period suggest that PIMs are directly linked to greater FC between the VS and DMN brain regions during win anticipation, consistent with prior studies. Effects of PIMs on motivation to expend effort may vary the strength/type of neural reward processing (anticipation or outcome), which could guide better understanding how inflammatory markers and neural reward substrates contribute to development of depression in high-risk adolescents.
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Affiliation(s)
- Manivel Rengasamy
- University of Pittsburgh, Department of Psychiatry, United States of America.
| | - Melissa Nance
- University of Pittsburgh, Department of Psychiatry, United States of America
| | - Kristen Eckstrand
- University of Pittsburgh, Department of Psychiatry, United States of America
| | - Erika Forbes
- University of Pittsburgh, Department of Psychiatry, United States of America
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21
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Goldsmith DR, Bekhbat M, Mehta ND, Felger JC. Inflammation-Related Functional and Structural Dysconnectivity as a Pathway to Psychopathology. Biol Psychiatry 2023; 93:405-418. [PMID: 36725140 PMCID: PMC9895884 DOI: 10.1016/j.biopsych.2022.11.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 10/28/2022] [Accepted: 11/02/2022] [Indexed: 11/10/2022]
Abstract
Findings from numerous laboratories and across neuroimaging modalities have consistently shown that exogenous administration of cytokines or inflammatory stimuli that induce cytokines disrupts circuits and networks involved in motivation and motor activity, threat detection, anxiety, and interoceptive and emotional processing. While inflammatory effects on neural circuits and relevant behaviors may represent adaptive responses promoting conservation of energy and heightened vigilance during immune activation, chronically elevated inflammation may contribute to symptoms of psychiatric illnesses. Indeed, biomarkers of inflammation such as cytokines and acute phase reactants are reliably elevated in a subset of patients with unipolar or bipolar depression, anxiety-related disorders, and schizophrenia and have been associated with differential treatment responses and poor clinical outcomes. A growing body of literature also describes higher levels of endogenous inflammatory markers and altered, typically lower functional or structural connectivity within these circuits in association with transdiagnostic symptoms such as anhedonia and anxiety in psychiatric and at-risk populations. This review presents recent evidence that inflammation and its effects on the brain may serve as one molecular and cellular mechanism of dysconnectivity within anatomically and/or functionally connected cortical and subcortical regions in association with transdiagnostic symptoms. We also discuss the need to establish reproducible methods to assess inflammation-associated dysconnectivity in relation to behavior for use in translational studies or biomarker-driven clinical trials for novel pharmacological or behavioral interventions targeting inflammation or its effects on the brain.
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Affiliation(s)
- David R Goldsmith
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Mandakh Bekhbat
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - Neeti D Mehta
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia; Neuroscience Graduate Program, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, Georgia
| | - Jennifer C Felger
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia; Winship Cancer Institute, Emory University, Atlanta, Georgia.
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22
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Burrows K, Figueroa-Hall LK, Alarbi AM, Stewart JL, Kuplicki R, Tan C, Hannafon BN, Ramesh R, Savitz J, Khalsa S, Teague TK, Risbrough VB, Paulus MP. Association between inflammation, reward processing, and ibuprofen-induced increases of miR-23b in astrocyte-enriched extracellular vesicles: A randomized, placebo-controlled, double-blind, exploratory trial in healthy individuals. Brain Behav Immun Health 2023; 27:100582. [PMID: 36605933 PMCID: PMC9807827 DOI: 10.1016/j.bbih.2022.100582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 12/23/2022] [Indexed: 12/26/2022] Open
Abstract
Ibuprofen, a non-steroidal, anti-inflammatory drug, modulates inflammation but may also have neuroprotective effects on brain health that are poorly understood. Astrocyte-enriched extracellular vesicles (AEEVs) facilitate cell-to-cell communication and - among other functions - regulate inflammation and metabolism via microribonucleic acids (miRNAs). Dysfunctions in reward-related processing and inflammation have been proposed to be critical pathophysiological pathways in individuals with mood disorders. This investigation examined whether changes in AEEV cargo induced by an anti-inflammatory agent results in inflammatory modulation that is associated with reward-related processing. Data from a double-blind, randomized, repeated-measures study in healthy volunteers were used to examine the effects of AEEV miRNAs on brain activation during reward-related processing. In three separate visits, healthy participants (N = 20) received a single dose of either placebo, 200 mg, or 600 mg of ibuprofen, completed the monetary incentive delay task during functional magnetic resonance imaging, and provided a blood sample for cytokine and AEEV collection. AEEV miRNA content profiling showed that ibuprofen dose-dependently increased AEEV miR-23b-3p expression with greater increase following the 600 mg administration than placebo. Those individuals who received 600 mg and showed the highest miR-23b-3p expression also showed the (a) lowest serum tumor necrosis factor (TNF) and interleukin-17A (IL-17A) concentrations; and had the (b) highest striatal brain activation during reward anticipation. These results support the hypothesis that ibuprofen alters the composition of miRNAs in AEEVs. This opens the possibility that AEEV cargo could be used to modulate brain processes that are important for mental health.
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Affiliation(s)
| | | | - Ahlam M. Alarbi
- Departments of Surgery and Psychiatry, School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA
- Integrative Immunology Center, School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA
| | - Jennifer L. Stewart
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Department of Community Medicine, The University of Tulsa, Tulsa, OK, USA
| | | | - Chibing Tan
- Integrative Immunology Center, School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA
| | - Bethany N. Hannafon
- Department of Obstetrics & Gynecology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Rajagopal Ramesh
- Department of Pathology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Department of Community Medicine, The University of Tulsa, Tulsa, OK, USA
| | - Sahib Khalsa
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Department of Community Medicine, The University of Tulsa, Tulsa, OK, USA
| | - T. Kent Teague
- Departments of Surgery and Psychiatry, School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA
- Department of Biochemistry and Microbiology, The Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
- Department of Pharmaceutical Sciences, The University of Oklahoma College of Pharmacy, Oklahoma City, OK, USA
| | - Victoria B. Risbrough
- Center of Excellence for Stress and Mental Health, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Martin P. Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Department of Community Medicine, The University of Tulsa, Tulsa, OK, USA
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23
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Felger JC. Increased Inflammation and Treatment of Depression: From Resistance to Reuse, Repurposing, and Redesign. ADVANCES IN NEUROBIOLOGY 2023; 30:387-416. [PMID: 36928859 DOI: 10.1007/978-3-031-21054-9_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Based on mounting clinical and translational evidence demonstrating the impact of exogenously administered inflammatory stimuli on the brain and behavior, increased endogenous inflammation has received attention as one pathophysiologic process contributing to psychiatric illnesses and particularly depression. Increased endogenous inflammation is observed in a significant proportion of depressed patients and has been associated with reduced responsiveness to standard antidepressant therapies. This chapter presents recent evidence that inflammation affects neurotransmitters and neurocircuits to contribute to specific depressive symptoms including anhedonia, motor slowing, and anxiety, which may preferentially improve after anti-cytokine therapies in patients with evidence of increased inflammation. Existing and novel pharmacological strategies that target inflammation or its downstream effects on the brain and behavior will be discussed in the context of a need for intelligent trial design in order to meaningfully translate these concepts and develop more precise therapies for depressed patients with increased inflammation.
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Huang C, Zhang F, Li P, Song C. Low-Dose IL-2 Attenuated Depression-like Behaviors and Pathological Changes through Restoring the Balances between IL-6 and TGF-β and between Th17 and Treg in a Chronic Stress-Induced Mouse Model of Depression. Int J Mol Sci 2022; 23:ijms232213856. [PMID: 36430328 PMCID: PMC9699071 DOI: 10.3390/ijms232213856] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Revised: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 11/12/2022] Open
Abstract
Microglia activation, increased IL-6 and decreased TGF-β were found in depressed patients or in animal models of depression. IL-6 enhances T helper 17 cell differentiation, thereby causing an imbalance between Th17 and Treg cells, which induces neuroinflammation and neuronal dysfunction. However, whether imbalances between IL-6 and TGF-β and between Th17 and Treg occur in depression and whether depression can be improved upon restoring these imbalances are unknown. Treg promoter IL-2 (1500UI/0.1 mL/day) was used to treat a mouse model of depression induced by chronic unpredictable mild stress (CUMS). The behavior and concentrations of IL-6, TGF-β, Th17, IL-17A, IL-17Rc, Treg-related factors (helios and STAT5), astrocyte A1 phenotype S100β, microglia M1 phenotype Iba-1, indoleamine-2,3-dioxygenase (IDO) enzyme, corticosterone (CORT) and neurotransmitters were evaluated. When compared to controls, CUMS reduced sucrose preference, the number of entries into and the time spent in the open arms of the elevated plus maze and the exploration in the "open field", while it increased the immobility time in tail suspension, which was ameliorated by IL-2 treatment. RoRα, S100β, IL-17A, IL-17Rc, IL-6, Iba-1, IDO enzyme and CORT concentrations were significantly increased, and Helios, FoxP3+, STAT5 and TGF-β were significantly decreased by CUMS, which were significantly attenuated by IL-2 when compared to the CUMS group. The NE, DA and 5-HT contents and those of their metabolites were decreased by CUMS, which returned to control levels after IL-2 treatment. The study demonstrated that imbalances between IL-6 and TGF-β and between Th17and Treg occurred in the hippocampus of the depression model. IL-2 attenuated depression- and anxiety-like behaviors and normalized the neurotransmitter concentration and the activity of the IDO enzyme, astrocytes and microglia through restoring both balances, but it did not decrease the CORT concentration.
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Affiliation(s)
- Chengyi Huang
- Research Institute for Marine Drugs and Nutrition, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
- Marine Medicine and Development Center, Shenzhen Institute of Guangdong Ocean University, Shenzhen 518120, China
- Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Fucheng Zhang
- Research Institute for Marine Drugs and Nutrition, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
- Marine Medicine and Development Center, Shenzhen Institute of Guangdong Ocean University, Shenzhen 518120, China
- Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
| | - Peng Li
- Research Institute for Marine Drugs and Nutrition, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
- Marine Medicine and Development Center, Shenzhen Institute of Guangdong Ocean University, Shenzhen 518120, China
- Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
- Affiliated Hospital of Guangdong Medical University, Zhanjiang 524088, China
| | - Cai Song
- Research Institute for Marine Drugs and Nutrition, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
- Marine Medicine and Development Center, Shenzhen Institute of Guangdong Ocean University, Shenzhen 518120, China
- Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
- Correspondence:
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25
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Xu Y, Liang J, Gao W, Sun Y, Zhang Y, Shan F, Ge J, Xia Q. Peripheral blood cytokines as potential diagnostic biomarkers of suicidal ideation in patients with first-episode drug-naïve major depressive disorder. Front Public Health 2022; 10:1021309. [PMID: 36420006 PMCID: PMC9678225 DOI: 10.3389/fpubh.2022.1021309] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 10/24/2022] [Indexed: 11/09/2022] Open
Abstract
Objective Major Depressive Disorder (MDD) is a leading cause of disability, with a high risk of suicidal ideation (SI). Few studies have evaluated the potential of multiple cytokines as biomarkers for SI in patients with MDD. In the present study, we examined the serum levels of multiple cytokines in patients with first-episode drug-naïve MDD, with the aim to discover and identify serum cytokines-based biomarkers for identification of SI in MDD. Methods A total of 55 patients with first-episode drug-naïve MDD were enrolled and divided into two groups: 26 MDD patients without SI and 29 MDD patients with SI. Beck Scale for Suicide Ideation was used to estimate SI. A total of 37 cytokines were measured using Multiplex Luminex Assays. The levels of serum cytokines between MDD patients without SI and MDD patients with SI were compared and diagnostic values of different cytokines were evaluated using the receiver operating characteristic (ROC) curve method for discriminating MDD patients with SI from MDD patients without SI. The relationship between the group and the abnormal cytokines were investigated in multiple linear regression models, with adjustments for age, gender, BMI, smoking, and Hamilton Depression Rating Scale-24 (HAMD-24) scores. Results The levels of CCL26 and VEGF in MDD patients with SI were significantly lower than those in MDD patients without SI (all P < 0.05). On the contrary, the levels of IL-17C, CXCL10, and TNF-β in MDD patients with SI were significantly higher than those in MDD patients without SI (all P < 0.05). Moreover, the results of multiple linear regression revealed that group was a significant independent predictor of serum IL-17C, CCL-26, VEGF, and TNF-β levels (all P < 0.05). In terms of CXC10, group was also likely to be a significant independent predictor (β = 0.257, P = 0.063). Furthermore, the AUC values of IL-17C and TNF-β were 0.728 and 0.732, respectively. Additionally, a combined panel of IL-17C and TNF-β achieved a high accuracy in discriminating MDD patients with SI from MDD patients without SI (AUC = 0.848, sensitivity = 75.9%, specificity = 72.7%). Conclusions These results suggested that circulating IL-17C and TNF-β may hold promise in the discovery of biomarkers for identification of SI in MDD.
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Affiliation(s)
- Yayun Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei, China,The Key Laboratory of Anti-Inflammatory and Immune Medicines, Ministry of Education, Hefei, China
| | - Jun Liang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China,Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China,Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Wenfan Gao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China,Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China,Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Yanhong Sun
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China,Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China,Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Yuanyuan Zhang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China,Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China,Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Feng Shan
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China,Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China,Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Jinfang Ge
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China,Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, Anhui Medical University, Hefei, China,School of Pharmacy, Anhui Medical University, Hefei, China,*Correspondence: Jinfang Ge
| | - Qingrong Xia
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China,Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China,Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China,Anhui Clinical Research Center for Mental Disorders, Hefei, China,Qingrong Xia
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26
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Li J, Yan K, Liu Z, Lin X, Huang Y, Shi J, Li D, Yao X, Liu Z, Peng Q. A study on the safety and therapeutic effect of Xiaoyaosan on depressive disorder related dry eye disease in a murine animal model. J Histotechnol 2022; 45:161-171. [DOI: 10.1080/01478885.2022.2136818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Jie Li
- Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Ophthalmology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ke Yan
- Department of Ophthalmology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, Hunan, China
| | - Zhaolin Liu
- Department of Ophthalmology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, Hunan, China
| | - Xiang Lin
- Department of Ophthalmology, Xiang’an Hospital of Xiamen University, Xiamen, Fujian, China
- Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Yu Huang
- Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Ophthalmology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Jian Shi
- Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Ophthalmology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Dongdong Li
- Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Ophthalmology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Xiaolei Yao
- Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Ophthalmology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Zuguo Liu
- Department of Ophthalmology, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, Hunan, China
- Department of Ophthalmology, Xiang’an Hospital of Xiamen University, Xiamen, Fujian, China
- Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Qinghua Peng
- Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Ophthalmology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China
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27
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Dogaru IA, Puiu MG, Manea M, Dionisie V. Current Perspectives on Pharmacological and Non-Pharmacological Interventions for the Inflammatory Mechanism of Unipolar Depression. Brain Sci 2022; 12:brainsci12101403. [PMID: 36291336 PMCID: PMC9599138 DOI: 10.3390/brainsci12101403] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 10/05/2022] [Accepted: 10/16/2022] [Indexed: 11/25/2022] Open
Abstract
Since depression remains a major public health issue there is a constant need for new and more efficient therapeutic strategies based on the mechanisms involved in the aetiology of depression. Thus, the pathogenic link between depression and inflammation is considered to play a potential key role in the development of such therapies. This review summarizes the results of various pharmacological (non-steroidal anti-inflammatory drugs, aspirin, cyclooxygenase inhibitors, cytokine inhibitors, corticosteroids, statins, minocycline, N-acetyl cysteine, omega-3 fatty acids and probiotics) and non-pharmacological interventions (electroconvulsive therapy, physical exercise and psychological therapy) and outlines their efficacy and discusses potential challenges. Both conventional and non-conventional anti-inflammatory drugs showed promising results according to the specific group of patients. The pre-existing pro-inflammatory status was, in most cases, a predictor for clinical efficacy and, in some cases, a correlation between clinical improvement and changes in various biomarkers was found. Some of the non-pharmacological interventions (physical exercise and electroconvulsive therapy) have also showed beneficial effects for depressive patients with elevated inflammatory markers. Treatments with anti-inflammatory action may improve clinical outcomes in depression, at least for some categories of patients, thus opening the way for a future personalised approach to patients with unipolar depression regarding the inflammation-related mechanism.
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Affiliation(s)
- Ioana-Alexandra Dogaru
- Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Maria Gabriela Puiu
- Department of Psychiatry and Psychology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Correspondence:
| | - Mirela Manea
- Department of Psychiatry and Psychology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Vlad Dionisie
- Department of Psychiatry and Psychology, “Carol Davila” University of Medicine and Pharmacy, 020021 Bucharest, Romania
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28
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Bekhbat M, Li Z, Mehta ND, Treadway MT, Lucido MJ, Woolwine BJ, Haroon E, Miller AH, Felger JC. Functional connectivity in reward circuitry and symptoms of anhedonia as therapeutic targets in depression with high inflammation: evidence from a dopamine challenge study. Mol Psychiatry 2022; 27:4113-4121. [PMID: 35927580 PMCID: PMC9718669 DOI: 10.1038/s41380-022-01715-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 07/06/2022] [Accepted: 07/19/2022] [Indexed: 02/07/2023]
Abstract
Increased inflammation in major depressive disorder (MDD) has been associated with low functional connectivity (FC) in corticostriatal reward circuits and symptoms of anhedonia, relationships which may involve the impact of inflammation on synthesis and release of dopamine. To test this hypothesis while establishing a platform to examine target engagement of potential therapies in patients with increased inflammation, medically stable unmedicated adult MDD outpatients enrolled to have a range of inflammation (as indexed by plasma C-reactive protein [CRP] levels) were studied at two visits involving acute challenge with the dopamine precursor levodopa (L-DOPA; 250 mg) and placebo (double-blind, randomized order ~1-week apart). The primary outcome of resting-state (rs)FC in a classic ventral striatum to ventromedial prefrontal cortex reward circuit was calculated using a targeted, a priori approach. Data available both pre- and post-challenge (n = 31/40) established stability of rsFC across visits and determined CRP > 2 mg/L as a cut-point for patients exhibiting positive FC responses (post minus pre) to L-DOPA versus placebo (p < 0.01). Higher post-L-DOPA FC in patients with CRP > 2 mg/L was confirmed in all patients (n = 40) where rsFC data were available post-challenge (B = 0.15, p = 0.006), and in those with task-based (tb)FC during reward anticipation (B = 0.15, p = 0.013). While effort-based motivation outside the scanner positively correlated with rsFC independent of treatment or CRP, change in anhedonia scores negatively correlated with rsFC after L-DOPA only in patients with CRP > 2 mg/L (r = -0.56, p = 0.012). FC in reward circuitry should be further validated in larger samples as a biomarker of target engagement for potential treatments including dopaminergic agents in MDD patients with increased inflammation.
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Affiliation(s)
- Mandakh Bekhbat
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Zhihao Li
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
- School of Psychology and Sociology, Shenzhen University, Shenzhen, 518060, Guangdong Sheng, China
| | - Namrataa D Mehta
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
- Neuroscience Graduate Program, Graduate Division of Biological and Biomedical Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Michael T Treadway
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
- Department of Psychology, Emory University, Atlanta, GA, 30322, USA
- The Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
| | - Michael J Lucido
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Bobbi J Woolwine
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Ebrahim Haroon
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
- The Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
| | - Andrew H Miller
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA
- The Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA
| | - Jennifer C Felger
- Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, 30322, USA.
- The Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.
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29
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Bekhbat M, Ulukaya GB, Bhasin MK, Felger JC, Miller AH. Cellular and immunometabolic mechanisms of inflammation in depression: Preliminary findings from single cell RNA sequencing and a tribute to Bruce McEwen. Neurobiol Stress 2022; 19:100462. [PMID: 35655933 PMCID: PMC9152104 DOI: 10.1016/j.ynstr.2022.100462] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/03/2022] [Accepted: 05/16/2022] [Indexed: 11/04/2022] Open
Abstract
Inflammation is associated with symptoms of anhedonia, a core feature of major depression (MD). We have shown that MD patients with high inflammation as measured by plasma C-reactive protein (CRP) and anhedonia display gene signatures of metabolic reprograming (e.g., shift to glycolysis) necessary to sustain cellular immune activation. To gain preliminary insight into the immune cell subsets and transcriptomic signatures that underlie increased inflammation and its relationship with behavior in MD at the single-cell (sc) level, herein we conducted scRNA-Seq on peripheral blood mononuclear cells from a subset of medically-stable, unmedicated MD outpatients. Three MD patients with high CRP (>3 mg/L) before and two weeks after anti-inflammatory challenge with the tumor necrosis factor antagonist infliximab and three patients with low CRP (≤3 mg/L) were studied. Cell clusters were identified using a Single Cell Wizard pipeline, followed by pathway analysis. CD14+ and CD16+ monocytes were more abundant in MD patients with high CRP and were reduced by 29% and 55% respectively after infliximab treatment. Within CD14+ and CD16+ monocytes, genes upregulated in high CRP patients were enriched for inflammatory (phagocytosis, complement, leukocyte migration) and immunometabolic (hypoxia-inducible factor [HIF]-1, aerobic glycolysis) pathways. Shifts in CD4+ T cell subsets included ∼30% and ∼10% lower abundance of CD4+ central memory (TCM) and naïve cells and ∼50% increase in effector memory-like (TEM-like) cells in high versus low CRP patients. TCM cells of high CRP patients displayed downregulation of the oxidative phosphorylation (OXPHOS) pathway, a main energy source in this cell type. Following infliximab, changes in the number of CD14+ monocytes and CD4+ TEM-like cells predicted improvements in anhedonia scores (r = 1.0, p < 0.001). In sum, monocytes and CD4+ T cells from MD patients with increased inflammation exhibited immunometabolic reprograming in association with symptoms of anhedonia. These findings are the first step toward determining the cellular and molecular immune pathways associated with inflammatory phenotypes in MD, which may lead to novel immunomodulatory treatments of psychiatric illnesses with increased inflammation.
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30
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Zhang X, Hou Y, Li Y, Wei W, Cai X, Shao H, Yuan Y, Zheng X. Taxonomic and Metabolic Signatures of Gut Microbiota for Assessing the Severity of Depression and Anxiety in Major Depressive Disorder Patients. Neuroscience 2022; 496:179-189. [PMID: 35750110 DOI: 10.1016/j.neuroscience.2022.06.024] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/31/2022] [Accepted: 06/15/2022] [Indexed: 11/27/2022]
Abstract
Major depressive disorder (MDD) is a heterogeneous mental disorder for which the precise assessment of symptom severity remains challenging. Studies have consistently found that the microbiota-gut-brain (MGB) axis is profoundly altered in MDD, but whether MGB-relevant clinical parameters are applicable to depression subphenotyping remains largely unexplored. In this prospective study, we assessed the taxonomic and metabolic signatures of fecal microbiota from 45 unmedicated MDD patients and explored their associations with the severity of depression and anxiety symptoms as measured by Hamilton depression scale-17 (HAMD-17) and Hamilton anxiety scale-14 (HAMA-14), respectively. The global microbial compositions of MDD patients with mild, moderate and severe symptoms were largely similar. Nevertheless, multiple discriminative bacterial taxa could be identified among the subgroups across the genus to species level. The abundance of fecal Streptococcus was highly correlated with both HAMD and HAMA scores. Patients with severe depression symptoms showed significantly higher abundance of Phascolarctobacterium and Akkermansia, while enrichment of Akkermansia, Coprococcus and Streptococcus were observed with severe anxiety symptoms. In addition, fecal microbial metabolite indole-3-carboxyaldehyde proved useful to discriminate the severity of depression or anxiety symptoms. Together, our results support the utility of microbial taxa and metabolites as potential MGB-based biomarker panel for stratifying the symptom severity of MDD patients.
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Affiliation(s)
- Xueli Zhang
- Department of Pharmacy, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yuanlong Hou
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Yinghui Li
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Wei Wei
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Xiaoying Cai
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China
| | - Hua Shao
- Department of Pharmacy, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
| | - Xiao Zheng
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
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31
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Ceïde ME, Eguchi D, Ayers EI, Lounsbury DW, Verghese J. Mediation Analyses of the Role of Apathy on Motoric Cognitive Outcomes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127376. [PMID: 35742625 PMCID: PMC9224534 DOI: 10.3390/ijerph19127376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/01/2022] [Accepted: 06/14/2022] [Indexed: 02/04/2023]
Abstract
Recent literature indicates that apathy is associated with poor cognitive and functional outcomes in older adults, including motoric cognitive risk syndrome (MCR), a predementia syndrome. However, the underlying biological pathway is unknown. The objectives of this study were to (1) examine the cross-sectional associations between inflammatory cytokines (Interleukin 6 (IL-6) and C-Reactive Protein (CRP)) and apathy and (2) explore the direct and indirect relationships of apathy and motoric cognitive outcomes as it relates to important cognitive risk factors. N = 347 older adults (≥65 years old) enrolled in the Central Control of Mobility in Aging Study (CCMA). Linear and logic regression models showed that IL-6, but not CRP was significantly associated with apathy adjusted for age, gender, and years of education (β = 0.037, 95% CI: 0.002-0.072, p = 0.04). Apathy was associated with a slower gait velocity (β = -14.45, 95% CI: -24.89-4.01, p = 0.01). Mediation analyses demonstrated that IL-6 modestly mediates the relationship between apathy and gait velocity, while apathy mediated the relationships between dysphoria and multimorbidity and gait velocity. Overall, our findings indicate that apathy may be an early predictor of motoric cognitive decline. Inflammation plays a modest role, but the underlying biology of apathy warrants further investigation.
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Affiliation(s)
- Mirnova E. Ceïde
- Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (E.I.A.); (J.V.)
- Department of Psychiatry and Behavioral Sciences and Medicine, Montefiore Medical Center, Bronx, NY 10467, USA
- Correspondence: ; Tel.: +1-347-920-0112; Fax: +1-718-430-3829
| | - Daniel Eguchi
- Medical Program, Albert Einstein College of Medicine, Bronx, NY 10461, USA;
| | - Emmeline I. Ayers
- Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (E.I.A.); (J.V.)
| | - David W. Lounsbury
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA;
| | - Joe Verghese
- Division of Cognitive and Motor Aging, Albert Einstein College of Medicine, Bronx, NY 10461, USA; (E.I.A.); (J.V.)
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32
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Li Y, Li Q, Li T, Zhou Z, Xu Y, Yang Y, Chen J, Guo H. Construction and Multiple Feature Classification Based on a High-Order Functional Hypernetwork on fMRI Data. Front Neurosci 2022; 16:848363. [PMID: 35495049 PMCID: PMC9043754 DOI: 10.3389/fnins.2022.848363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/18/2022] [Indexed: 11/13/2022] Open
Abstract
Resting-state functional connectivity hypernetworks, in which multiple nodes can be connected, are an effective technique for diagnosing brain disease and performing classification research. Conventional functional hypernetworks can characterize the complex interactions within the human brain in a static form. However, an increasing body of evidence demonstrates that even in a resting state, neural activity in the brain still exhibits transient and subtle dynamics. These dynamic changes are essential for understanding the basic characteristics underlying brain organization and may correlate significantly with the pathological mechanisms of brain diseases. Therefore, considering the dynamic changes of functional connections in the resting state, we proposed methodology to construct resting state high-order functional hyper-networks (rs-HOFHNs) for patients with depression and normal subjects. Meanwhile, we also introduce a novel property (the shortest path) to extract local features with traditional local properties (cluster coefficients). A subgraph feature-based method was introduced to characterize information relating to global topology. Two features, local features and subgraph features that showed significant differences after feature selection were subjected to multi-kernel learning for feature fusion and classification. Compared with conventional hyper network models, the high-order hyper network obtained the best classification performance, 92.18%, which indicated that better classification performance can be achieved if we needed to consider multivariate interactions and the time-varying characteristics of neural interaction simultaneously when constructing a network.
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Affiliation(s)
- Yao Li
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Qifan Li
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Tao Li
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Zijing Zhou
- College of Software, Taiyuan University of Technology, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yanli Yang
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Junjie Chen
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
| | - Hao Guo
- College of Information and Computer, Taiyuan University of Technology, Taiyuan, China
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33
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The Gender-Specific Interaction of DVL3 and GSK3β Polymorphisms on Major Depressive Disorder Susceptibility in a Chinese Han Population: A Case-Control Study. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:2633127. [PMID: 35126809 PMCID: PMC8816570 DOI: 10.1155/2022/2633127] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 01/05/2022] [Indexed: 11/17/2022]
Abstract
Based on the “oxidative stress hypothesis” of major depressive disorder (MDD), cells regulate their structure through the Wnt pathway. Little is known regarding the interactions of dishevelled 3 (DVL3) and glycogen synthase kinase 3 beta (GSK3β) polymorphisms with MDD. The aim of the current study was to verify the relationship between DVL3 and GSK3β genetic variants in a Chinese Han population and further to evaluate whether these interactions exhibit gender-specificity. A total of 1136 participants, consisting of 541 MDD patients and 595 healthy subjects, were recruited. Five single-nucleotide polymorphisms (SNPs) of DVL3/GSK3β were selected to assess their interaction by use of a generalized multifactor dimensionality reduction method. The genotype and haplotype frequencies of DVL3/GSK3β polymorphisms were significantly different between patients and controls for DVL3 rs1709642 (
) and GSK3β rs334558, rs6438552, and rs2199503 (
). In addition, our results also showed that there were significant interaction effects between DVL3 and GSK3β polymorphisms and the risk of developing MDD, particularly in women. The interaction between DVL3 (rs1709642) and GSK3β (rs334558, rs6438552) showed a cross-validation (CV) consistency of 10/10, a
value of 0.001, and a testing accuracy of 59.22%, which was considered as the best generalized multifactor dimensionality reduction (GMDR) model. This study reveals the interaction between DVL3 and GSK3β polymorphisms on MDD susceptibility in a female Chinese Han population. The effect of gender should be taken into account in future studies that seek to explore the genetic predisposition to MDD relative to the DVL3 and GSK3β genes.
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34
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Burrows K, Figueroa-Hall LK, Kuplicki R, Stewart JL, Alarbi AM, Ramesh R, Savitz JB, Teague TK, Risbrough VB, Paulus MP. Neuronally-enriched exosomal microRNA-27b mediates acute effects of ibuprofen on reward-related brain activity in healthy adults: a randomized, placebo-controlled, double-blind trial. Sci Rep 2022; 12:861. [PMID: 35039595 PMCID: PMC8764091 DOI: 10.1038/s41598-022-04875-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 01/03/2022] [Indexed: 01/01/2023] Open
Abstract
This double-blind, randomized, within-subjects design evaluated whether acute administration of an anti-inflammatory drug modulates neuron-specific, inflammation-modulating microRNAs linked to macroscopic changes in reward processing. Twenty healthy subjects (10 females, 10 males) underwent a functional magnetic resonance imaging scan while performing a monetary incentive delay (MID) task and provided blood samples after administration of placebo, 200 mg, or 600 mg of ibuprofen. Neuronally-enriched exosomal microRNAs were extracted from serum and sequenced. Results showed that: (1) 600 mg of ibuprofen exhibited higher miR-27b-3p, miR-320b, miR-23b and miR-203a-3p expression than placebo; (2) higher mir-27b-3p was associated with lower insula activation during MID loss anticipation; and (3) there was an inverse relationship between miR-27b-3p and MID gain anticipation in bilateral putamen during placebo, a pattern attenuated by both 200 mg and 600 mg of ibuprofen. These findings are consistent with the hypothesis that miR-27b could be an important messaging molecule that is associated with regulating the processing of positive or negative valenced information.
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Affiliation(s)
- Kaiping Burrows
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA.
| | | | - Rayus Kuplicki
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
| | - Jennifer L Stewart
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Department of Community Medicine, University of Tulsa, Tulsa, OK, USA
| | - Ahlam M Alarbi
- Departments of Surgery and Psychiatry, School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA
| | - Rajagopal Ramesh
- Department of Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jonathan B Savitz
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Department of Community Medicine, University of Tulsa, Tulsa, OK, USA
| | - T Kent Teague
- Departments of Surgery and Psychiatry, School of Community Medicine, The University of Oklahoma, Tulsa, OK, USA
- Department of Biochemistry and Microbiology, The Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
- Department of Pharmaceutical Sciences, The University of Oklahoma College of Pharmacy, Oklahoma City, OK, USA
| | - Victoria B Risbrough
- Center of Excellence for Stress and Mental Health, La Jolla, CA, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, 6655 South Yale Ave, Tulsa, OK, 74136, USA
- Department of Community Medicine, University of Tulsa, Tulsa, OK, USA
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35
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Luo L, Lei X, Zhu C, Wu J, Ren H, Zhan J, Qin Y. Decreased Connectivity in Precuneus of the Ventral Attentional Network in First-Episode, Treatment-Naïve Patients With Major Depressive Disorder: A Network Homogeneity and Independent Component Analysis. Front Psychiatry 2022; 13:925253. [PMID: 35693966 PMCID: PMC9184427 DOI: 10.3389/fpsyt.2022.925253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 04/28/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND AND OBJECTIVE The ventral attentional network (VAN) can provide quantitative information on cognitive problems in patients with major depressive disorder (MDD). Nevertheless, little is known about network homogeneity (NH) changes in the VAN of these patients. The aim of this study was to examine the NH values in the VAN by independent component analysis (ICA) and compare the NH values between MDD patients and the normal controls (NCs). METHODS Attentional network test and resting-state functional magnetic resonance imaging (rs-fMRI) data were collected from 73 patients, and 70 NCs matched by gender, age, and education years. ICA and NH were employed to evaluate the data. Moreover, the NH values were compared, and Spearman's rank correlation analysis was used to assess the correlations with the executive control reaction time (ECRT). RESULTS Our results showed that the first-episode, treatment-naive MDD patients had decreased NH in the right precuneus (PCu) and abnormal ECRT compared with NCs. However, no significant correlation was found between the NH values and measured clinical variables. CONCLUSION Our results highlight the potential importance of VAN in the pathophysiology of cognitive problems in MDD, thus offering new directions for future research on MDD.
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Affiliation(s)
- Liqiong Luo
- Department of Oncology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xijun Lei
- Department of Oncology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Canmin Zhu
- Department of Neurology, The First People's Hospital of Jiangxia District, Wuhan, China
| | - Jun Wu
- Department of Neurosurgery, Wuhan Central Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongwei Ren
- Department of Medical Imaging, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jing Zhan
- Department of Oncology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Yongzhang Qin
- Department of Endocrinology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
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36
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Influences of dopaminergic system dysfunction on late-life depression. Mol Psychiatry 2022; 27:180-191. [PMID: 34404915 PMCID: PMC8850529 DOI: 10.1038/s41380-021-01265-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/28/2021] [Accepted: 08/04/2021] [Indexed: 12/15/2022]
Abstract
Deficits in cognition, reward processing, and motor function are clinical features relevant to both aging and depression. Individuals with late-life depression often show impairment across these domains, all of which are moderated by the functioning of dopaminergic circuits. As dopaminergic function declines with normal aging and increased inflammatory burden, the role of dopamine may be particularly salient for late-life depression. We review the literature examining the role of dopamine in the pathogenesis of depression, as well as how dopamine function changes with aging and is influenced by inflammation. Applying a Research Domain Criteria (RDoC) Initiative perspective, we then review work examining how dopaminergic signaling affects these domains, specifically focusing on Cognitive, Positive Valence, and Sensorimotor Systems. We propose a unified model incorporating the effects of aging and low-grade inflammation on dopaminergic functioning, with a resulting negative effect on cognition, reward processing, and motor function. Interplay between these systems may influence development of a depressive phenotype, with an initial deficit in one domain reinforcing decline in others. This model extends RDoC concepts into late-life depression while also providing opportunities for novel and personalized interventions.
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Lu S, Wu C, Jia L, Fang Z, Lu J, Mou T, Hu S, He H, Huang M, Xu Y. Increased plasma levels of IL-6 are associated with striatal structural atrophy in major depressive disorder patients with anhedonia. Front Psychiatry 2022; 13:1016735. [PMID: 36405925 PMCID: PMC9669641 DOI: 10.3389/fpsyt.2022.1016735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Anhedonia, as the core endophenotype of major depressive disorder (MDD), is closely related to poor prognosis, but the mechanism of this feature remains to be understood. The aim of this study was to investigate the inflammatory factors and brain structural alterations in MDD patients with anhedonia and evaluate the relationship between these factors. METHODS We assessed the plasma levels of interleukin-1 beta (IL-1β), interleukin-6 (IL-6) and tumor necrosis factor alpha (TNF-α) in MDD patients with anhedonia (n = 22), MDD patients without anhedonia (n = 20), and age- and sex-matched healthy controls (HCs, n = 20) by enzyme-linked immunosorbent assay kits. All participants underwent high-resolution brain magnetic resonance imaging (MRI) scans, and voxel-based morphometry (VBM) was used to evaluate their gray matter volume (GMV). We compared inflammatory factors and GMV among the three groups and explored their relationships in MDD patients with anhedonia. RESULTS Compared with those of HCs, plasma levels of IL-1β were increased in patients with MDD independent of anhedonia features, while plasma levels of IL-6 were elevated in MDD patients with anhedonia only. Meanwhile, MDD patients with anhedonia exhibited reduced GMV in the left striatal structures compared to MDD patients without anhedonia and HCs. Moreover, a significant association was observed between increased plasma levels of IL-6 and decreased GMV of the left putamen in MDD patients with anhedonia. CONCLUSIONS The present research outcomes suggest that anhedonia is associated with increased plasma levels of IL-6 and decreased GMV in the left striatal structures. In addition, this study demonstrates that GMV loss in the left putamen is related to increased plasma levels of IL-6 in MDD with anhedonia, which provides further insights into the possible mechanisms of anhedonia.
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Affiliation(s)
- Shaojia Lu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Congchong Wu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China.,Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Lili Jia
- Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, China.,Department of Clinical Psychology, The Fifth Peoples' Hospital of Lin'an District, Hangzhou, China
| | - Zhe Fang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China.,Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Lu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Tingting Mou
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Hongjian He
- College of Biomedical Engineering and Instrument Science, Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Yi Xu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
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38
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Song Y, Huang C, Zhong Y, Wang X, Tao G. Abnormal Reginal Homogeneity in Left Anterior Cingulum Cortex and Precentral Gyrus as a Potential Neuroimaging Biomarker for First-Episode Major Depressive Disorder. Front Psychiatry 2022; 13:924431. [PMID: 35722559 PMCID: PMC9199967 DOI: 10.3389/fpsyt.2022.924431] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 05/06/2022] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE There is no objective method to diagnose major depressive disorder (MDD). This study explored the neuroimaging biomarkers using the support vector machine (SVM) method for the diagnosis of MDD. METHODS 52 MDD patients and 45 healthy controls (HCs) were involved in resting-state functional magnetic resonance imaging (rs-fMRI) scanning. Imaging data were analyzed with the regional homogeneity (ReHo) and SVM methods. RESULTS Compared with HCs, MDD patients showed increased ReHo in the left anterior cingulum cortex (ACC) and decreased ReHo in the left precentral gyrus (PG). No correlations were detected between the ReHo values and the Hamilton Rating Scale for Depression (HRSD) scores. The SVM results showed a diagnostic accuracy of 98.96% (96/97). Increased ReHo in the left ACC, and decreased ReHo in the left PG were illustrated, along with a sensitivity of 98.07%(51/52) and a specificity of100% (45/45). CONCLUSION Our results suggest that abnormal regional neural activity in the left ACC and PG may play a key role in the pathophysiological process of first-episode MDD. Moreover, the combination of ReHo values in the left ACC and precentral gyrusmay serve as a neuroimaging biomarker for first-episode MDD.
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Affiliation(s)
- Yan Song
- Nanning Fifth People's Hospital, Nanning, China
| | - Chunyan Huang
- Department of Cardiology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan, China
| | - Yi Zhong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), Beijing, China
| | - Xi Wang
- Department of Mental Health, Taihe Hospital, Hubei University of Medicine, Shiyan, China
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Bekhbat M, Treadway MT, Felger JC. Inflammation as a Pathophysiologic Pathway to Anhedonia: Mechanisms and Therapeutic Implications. Curr Top Behav Neurosci 2022; 58:397-419. [PMID: 34971449 DOI: 10.1007/7854_2021_294] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Anhedonia, characterized by a lack of motivation, interest, or ability to experience pleasure, is a prominent symptom of depression and other psychiatric disorders and has been associated with poor response to standard therapies. One pathophysiologic pathway receiving increased attention for its potential role in anhedonia is inflammation and its effects on the brain. Exogenous administration of inflammatory stimuli to humans and laboratory animals has reliably been found to affect neurotransmitters and neurocircuits involved in reward processing, including the ventral striatum and ventromedial prefrontal cortex, in association with reduced motivation. Moreover, a rich literature including meta-analyses describes increased inflammation in a significant proportion of patients with depression and other psychiatric illnesses involving anhedonia, as evident by elevated inflammatory cytokines, acute phase proteins, chemokines, and adhesion molecules in both the periphery and central nervous system. This endogenous inflammation may arise from numerous sources including stress, obesity or metabolic dysfunction, genetics, and lifestyle factors, many of which are also risk factors for psychiatric illness. Consistent with laboratory studies involving exogenous administration of peripheral inflammatory stimuli, neuroimaging studies have further confirmed that increased endogenous inflammation in depression is associated with decreased activation of and reduced functional connectivity within reward circuits involving ventral striatum and ventromedial prefrontal cortex in association with anhedonia. Here, we review recent evidence of relationships between inflammation and anhedonia, while highlighting translational and mechanistic work describing the impact of inflammation on synthesis, release, and reuptake of neurotransmitters like dopamine and glutamate that affects circuits to drive motivational deficits. We will then present insight into novel pharmacological strategies that target either inflammation or its downstream effects on the brain and behavior. The meaningful translation of these concepts through appropriately designed trials targeting therapies for psychiatric patients with high inflammation and transdiagnostic symptoms of anhedonia is also discussed.
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Affiliation(s)
- Mandakh Bekhbat
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Michael T Treadway
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
- Winship Cancer Institute, Atlanta, GA, USA
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Jennifer C Felger
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.
- Winship Cancer Institute, Atlanta, GA, USA.
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40
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Han KM, Ham BJ. How Inflammation Affects the Brain in Depression: A Review of Functional and Structural MRI Studies. J Clin Neurol 2021; 17:503-515. [PMID: 34595858 PMCID: PMC8490908 DOI: 10.3988/jcn.2021.17.4.503] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 12/27/2022] Open
Abstract
This narrative review discusses how peripheral and central inflammation processes affect brain function and structure in depression, and reports on recent peripheral inflammatory marker-based functional and structural magnetic resonance imaging (MRI) studies from the perspective of neural-circuit dysfunction in depression. Chronic stress stimulates the activity of microglial cells, which increases the production of pro-inflammatory cytokines in the brain. In addition, microglial activation promotes a shift from the synthesis of serotonin to the synthesis of neurotoxic metabolites of the kynurenine pathway, which induces glutamate-mediated excitotoxicity in neurons. Furthermore, the region specificity of microglial activation is hypothesized to contribute to the vulnerability of specific brain regions in the depression-related neural circuits to inflammation-mediated brain injury. MRI studies are increasingly investigating how the blood levels of inflammatory markers such as C-reactive protein, interleukin (IL)-1β, IL-6, and tumor necrosis factor-α are associated with functional and structural neuroimaging markers in depression. Functional MRI studies have found that peripheral inflammatory markers are associated with aberrant activation patterns and altered functional connectivity in neural circuits involved in emotion regulation, reward processing, and cognitive control in depression. Structural MRI studies have suggested that peripheral inflammatory markers are related to reduced cortical gray matter and subcortical volumes, cortical thinning, and decreased integrity of white matter tracts within depression-related neural circuits. These neuroimaging findings may improve our understanding of the relationships between neuroinflammatory processes at the molecular level and macroscale in vivo neuralcircuit dysfunction in depression.
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Affiliation(s)
- Kyu Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Byung Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
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Kuplicki R, Touthang J, Al Zoubi O, Mayeli A, Misaki M, Aupperle RL, Teague TK, McKinney BA, Paulus MP, Bodurka J. Common Data Elements, Scalable Data Management Infrastructure, and Analytics Workflows for Large-Scale Neuroimaging Studies. Front Psychiatry 2021; 12:682495. [PMID: 34220587 PMCID: PMC8247461 DOI: 10.3389/fpsyt.2021.682495] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 05/19/2021] [Indexed: 01/16/2023] Open
Abstract
Neuroscience studies require considerable bioinformatic support and expertise. Numerous high-dimensional and multimodal datasets must be preprocessed and integrated to create robust and reproducible analysis pipelines. We describe a common data elements and scalable data management infrastructure that allows multiple analytics workflows to facilitate preprocessing, analysis and sharing of large-scale multi-level data. The process uses the Brain Imaging Data Structure (BIDS) format and supports MRI, fMRI, EEG, clinical, and laboratory data. The infrastructure provides support for other datasets such as Fitbit and flexibility for developers to customize the integration of new types of data. Exemplar results from 200+ participants and 11 different pipelines demonstrate the utility of the infrastructure.
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Affiliation(s)
- Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - James Touthang
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Obada Al Zoubi
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Ahmad Mayeli
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Masaya Misaki
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - NeuroMAP-Investigators
- Laureate Institute for Brain Research, Tulsa, OK, United States
- Department of Community Medicine, Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, United States
| | - Robin L. Aupperle
- Laureate Institute for Brain Research, Tulsa, OK, United States
- Department of Community Medicine, Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, United States
| | - T. Kent Teague
- Department of Surgery, University of Oklahoma School of Community Medicine, Tulsa, OK, United States
- Department of Psychiatry, University of Oklahoma School of Community Medicine, Tulsa, OK, United States
- Department of Biochemistry and Microbiology, Oklahoma State University Center for Health Sciences, Tulsa, OK, United States
| | - Brett A. McKinney
- Department of Mathematics, University of Tulsa, Tulsa, OK, United States
- Tandy School of Computer Science, University of Tulsa, Tulsa, OK, United States
| | | | - Jerzy Bodurka
- Laureate Institute for Brain Research, Tulsa, OK, United States
- Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, United States
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