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Sharma S, Chawla S, Kumar P, Ahmad R, Kumar Verma P. The chronic unpredictable mild stress (CUMS) Paradigm: Bridging the gap in depression research from bench to bedside. Brain Res 2024; 1843:149123. [PMID: 39025397 DOI: 10.1016/j.brainres.2024.149123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 07/04/2024] [Accepted: 07/12/2024] [Indexed: 07/20/2024]
Abstract
Depression is a complicated neuropsychiatric condition with an incompletely understoodetiology, making the discovery of effective therapies challenging. Animal models have been crucial in improving our understanding of depression and enabling antidepressant medication development. The CUMS model has significant face validity since it induces fundamental depression symptoms in humans, such as anhedonia, behavioral despair, anxiety, cognitive impairments, and changes in sleep, food, and social behavior. Its construct validity is demonstrated by the dysregulation of neurobiological systems involved in depression, including monoaminergic neurotransmission, the hypothalamic-pituitary-adrenal axis, neuroinflammatory processes, and structural brain alterations. Critically, the model's predictive validity is demonstrated by the reversal of CUMS-induced deficits following treatment with clinically effective antidepressants such as selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, tricyclic antidepressants, and monoamine oxidase inhibitors. This review comprehensivelyassesses the multifarious depressive-like phenotypes in the CUMS model using behavioral paradigms like sucrose preference, forced swim, tail suspension, elevated plus maze, and novel object recognition tests. It investigates the neurobiological mechanisms that underlie CUMS-induced behaviors, including signaling pathways involving tumor necrosis factor-alpha, brain-derived neurotrophic factor and its receptor TrkB, cyclooxygenase-2, glycogen synthase kinase-3 beta, and the kynurenine pathway. This review emphasizes the CUMS model's importance as a translationally relevant tool for unraveling the complex mechanisms underlying depression and facilitating the development of improved and targeted interventions for this debilitating neuropsychiatric disorder by providing a comprehensive overview of its validity, behavioral assessments, and neurobiological underpinnings.
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Affiliation(s)
- Shweta Sharma
- Department of Pharmacology, School of PharmaceuticalEducation & Research, Jamia Hamdard, New Delhi 110062, India
| | - Shivani Chawla
- Shri Baba Mastnath Institute of Pharmaceutical Sciences and Research, Baba Mastnath University, Rohtak, Haryana 124001, India
| | - Praveen Kumar
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana 124001, India
| | - Rizwan Ahmad
- Department of Pharmacology, School of PharmaceuticalEducation & Research, Jamia Hamdard, New Delhi 110062, India
| | - Prabhakar Kumar Verma
- Department of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, Haryana 124001, India.
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Yirmiya R. The inflammatory underpinning of depression: An historical perspective. Brain Behav Immun 2024; 122:433-443. [PMID: 39197544 DOI: 10.1016/j.bbi.2024.08.048] [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] [Received: 04/23/2024] [Revised: 07/28/2024] [Accepted: 08/24/2024] [Indexed: 09/01/2024] Open
Abstract
Over the last thirty years, substantial evidence has accumulated in support of the hypothesis that dysregulation of inflammatory processes plays a critical role in the pathophysiology of depression. This review traces the evolution of research supporting this link, discussing key findings from several major investigative fronts: Alterations in inflammatory markers associated with depression; Mood changes following the exogenous administration of inflammatory challenges; The anti-inflammatory properties of traditional antidepressants and the promising antidepressant effects of anti-inflammatory drugs. Additionally, it explores how inflammatory processes interact with specific brain regions and neurochemical systems to drive depressive pathology. A thorough analysis of the 100 most-cited experimental studies on the topic ensures a comprehensive, transparent and unbiased collection of references. This methodological approach offers a panoramic view of the inflammation-depression nexus, shedding light on the complexity of its mechanisms and their connections to psychiatric categorizations, symptoms, demographics, and life events. Synthesizing insights from this extensive research, the review presents an integrative model of the biological foundations of inflammation-associated depression. It posits that we have reached a critical juncture where the translation of this knowledge into personalized immunomodulatory treatments for depression is not just possible, but imperative.
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Affiliation(s)
- Raz Yirmiya
- Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel.
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Euteneuer F, Neubert M, Salzmann S, Fischer S, Ehlert U, Rief W. Biomarkers as predictors of CBT responsiveness in major depressive disorder: The role of heart rate variability and inflammation. J Psychosom Res 2024; 186:111885. [PMID: 39180963 DOI: 10.1016/j.jpsychores.2024.111885] [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] [Received: 05/13/2024] [Revised: 08/10/2024] [Accepted: 08/11/2024] [Indexed: 08/27/2024]
Abstract
OBJECTIVE Biological risk factors for cardiovascular disease may relate to poor treatment responsiveness in major depressive disorder (MDD). These factors encompass low-grade inflammation and autonomic dysregulation, as indexed by decreased heart rate variability (HRV) and increased heart rate (HR). This secondary analysis examined whether higher levels of inflammatory markers or autonomic alterations relate to lower responsiveness to cognitive behavioral therapy (CBT) among individuals with MDD. METHODS Eighty antidepressant-free patients with MDD were randomly assigned to 14 weeks of CBT or waitlist (WL). Potential biological moderators at study entry included HR and HRV (24-h, daytime, nighttime) and inflammatory markers such as C-reactive protein (CRP), interleukin (IL)-6, and tumor necrosis factor (TNF)-α. Forty non-clinical controls were involved to verify biological alterations in MDD at study entry. Depressive symptoms were assessed at baseline and at the end of treatment. RESULTS Individuals with MDD exhibited reduced total 24-h HRV (i.e., triangular index) and daytime HRV (i.e., triangular index, HF-HRV, LF-HRV, RMSSD), as well as increased levels of inflammatory markers. Patients who received CBT exhibited stronger reductions in self- and clinician-rated depressive symptoms, compared to WL. False discovery rate-adjusted moderation analyses did not show overall moderating effects of biological measures on treatment responsiveness. However, higher CRP levels were specifically associated with poorer improvement in somatic depressive symptoms. CONCLUSIONS There was no overall evidence for a moderating role of inflammation or autonomic features in CBT responsiveness in MDD. Higher levels of CRP might, however, specifically be associated with less improvement in somatic depressive symptoms during CBT.
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Affiliation(s)
- Frank Euteneuer
- Clinical Psychology and Psychotherapy, Department of Psychology, Medical School Berlin, Berlin, Germany; Division of Translational Clinical Stress Research, Institute of Neuroscience and Biopsychology for Clinical Application, Medical School Berlin, Berlin, Germany.
| | - Marie Neubert
- Department of Clinical Psychology, University of Siegen, Siegen, Germany
| | - Stefan Salzmann
- Medical Psychology, Department of Medicine, Health and Medical University, Erfurt, Germany; Division of Clinical Psychology and Psychotherapy, University of Marburg, Marburg, Germany
| | - Susanne Fischer
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Zurich, Zurich, Switzerland
| | - Ulrike Ehlert
- Clinical Psychology and Psychotherapy, Institute of Psychology, University of Zurich, Zurich, Switzerland
| | - Winfried Rief
- Division of Clinical Psychology and Psychotherapy, University of Marburg, Marburg, Germany
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Wang D, Xu J, Liang N, Xue Z, Yang X, Lu J, Ma Y. Network analysis of depressive symptoms and C-reactive protein levels in major depressive disorder. J Affect Disord 2024; 367:788-794. [PMID: 39187182 DOI: 10.1016/j.jad.2024.08.152] [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: 05/04/2024] [Revised: 08/14/2024] [Accepted: 08/23/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND C-reactive protein (CRP) levels have been implicated in the severity and symptomatology of major depressive disorder (MDD). The aim of this study was to explore the structure of depressive symptoms in patients with MDD according to different groups of CRP levels using network analysis. METHODS The study included 864 individuals (mean age = 54.05, 67.48 % male) diagnosed with MDD from the 2015-2020 National Health and Nutrition Examination Survey (NHANES). Analyses examined how depressive symptoms and CRP level were related to each other, and how the network structure of depressive symptoms differed across groups with different CRP levels. RESULTS A direct positive correlation was observed between CRP levels and specific depressive symptoms (e.g., appetite change, energy loss, and feelings of worthlessness). Moreover, there was a stronger correlation between depressive symptoms in the medium CRP and high CRP groups compared to the low CRP group. Furthermore, it was observed that there were notable structural differences between the high-CRP and moderate-CRP groups. LIMITATIONS The study is based on cross-sectional data, which precludes the drawing of causal conclusions. Furthermore, it does not take into account confounding factors such as body mass index (BMI) and lifestyle. CONCLUSIONS The findings underscore the pivotal role of CRP as a marker of the severity of depressive symptoms. Routine CRP level testing and anti-inflammatory therapies may be beneficial for depressed patients with elevated CRP levels in clinical practice.
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Affiliation(s)
- Dongfang Wang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China; Technical University of Munich, TUM School of Medicine and Health, Klinikum rechts der Isar, Department of Psychiatry and Psychotherapy, Munich, Germany
| | - Jianchang Xu
- Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, Shenzhen Institute of Mental Health, Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong 518020, China
| | - Nana Liang
- Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, Shenzhen Institute of Mental Health, Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong 518020, China
| | - Zhenpeng Xue
- Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, Shenzhen Institute of Mental Health, Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong 518020, China
| | - Xiujuan Yang
- Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, Shenzhen Institute of Mental Health, Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong 518020, China
| | - Jianping Lu
- Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, Shenzhen Institute of Mental Health, Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong 518020, China.
| | - Yuejiao Ma
- Department of Child and Adolescent Psychiatry, Shenzhen Kangning Hospital, Shenzhen Institute of Mental Health, Shenzhen Mental Health Center, Affiliated Mental Health Center, Southern University of Science and Technology, Shenzhen, Guangdong 518020, China.
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Zhang B, Deng H, Ren J, Legrand FD, Ahmad Yusof H, Zhang R, Leong Bin Abdullah MFI. Study protocol on the efficacy of exergames-acceptance and commitment therapy program for the treatment of major depressive disorder: comparison with acceptance and commitment therapy alone and treatment-as-usual in a multicentre randomised controlled trial. BMJ Open 2024; 14:e080315. [PMID: 38926142 PMCID: PMC11216053 DOI: 10.1136/bmjopen-2023-080315] [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: 09/27/2023] [Accepted: 05/27/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND The prevalence of major depressive disorder (MDD) is on the rise globally, and the use of antidepressant medications for its treatment does not usually result in full remission. However, the combination of physical exercise and psychotherapy for the treatment of MDD increase the rate of full remission among patients. This three-armed, parallel-group, double-blinded randomised controlled trial (RCT) aims to assess and compare the effects between the combination of exergame and acceptance and commitment therapy (e-ACT) programme, ACT only and treatment-as-usual (TAU) control groups on the severity of depression and anxiety symptoms, the degree of experiential avoidance and quality of life (QoL) and the serum levels of depression biomarkers (such as brain-derived neurotrophic factor, C-reactive protein and vascular endothelial growth factor) among patients with MDD across three time points. METHODS AND ANALYSIS This RCT will recruit 126 patients with MDD who will be randomised using stratified permuted block randomisation into three groups, which are the combined e-ACT programme, ACT-only and TAU control groups in a 1:1:1 allocation ratio. The participants in the e-ACT and ACT-only intervention groups will undergo once a week intervention sessions for 8 weeks. Assessments will be carried out through three time points, such as the pre-intervention assessment (t0), assessment immediately after completion of the intervention at 8 weeks (t1) and assessment at 24 weeks after completion of the intervention (t2). During each assessment, the primary outcome to be assessed includes the severity of depression symptoms, while the secondary outcomes to be assessed are the severity of anxiety symptoms, experiential avoidance, QoL and depression biomarkers. ETHICS AND DISSEMINATION Approval of this study was obtained from the Human Research Ethics Committee of Universiti Sains Malaysia (USM/JEPeM/PP/23050420). The findings of the study will be published in academic peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT05812001 (ClinicalTrials.gov). Registered on 12 April 2023.
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Affiliation(s)
- Bingyu Zhang
- Department of Psychiatry, Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, Henan, China
- Department of Community Health, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Pulau Pinang, Malaysia
| | - Hongdu Deng
- Department of Psychiatry, Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, Henan, China
- Department of Community Health, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Pulau Pinang, Malaysia
| | - Jinli Ren
- Department of Psychiatry, Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, Henan, China
| | | | - Hazwani Ahmad Yusof
- Department of Community Health, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Pulau Pinang, Malaysia
| | - Ruiling Zhang
- Department of Psychiatry, Second Affiliated Hospital, Xinxiang Medical University, Xinxiang, Henan, China
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Singh P, Vasundhara B, Das N, Sharma R, Kumar A, Datusalia AK. Metabolomics in Depression: What We Learn from Preclinical and Clinical Evidences. Mol Neurobiol 2024:10.1007/s12035-024-04302-5. [PMID: 38898199 DOI: 10.1007/s12035-024-04302-5] [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: 10/28/2023] [Accepted: 06/11/2024] [Indexed: 06/21/2024]
Abstract
Depression is one of the predominant common mental illnesses that affects millions of people of all ages worldwide. Random mood changes, loss of interest in routine activities, and prevalent unpleasant senses often characterize this common depreciated mental illness. Subjects with depressive disorders have a likelihood of developing cardiovascular complications, diabesity, and stroke. The exact genesis and pathogenesis of this disease are still questionable. A significant proportion of subjects with clinical depression display inadequate response to antidepressant therapies. Hence, clinicians often face challenges in predicting the treatment response. Emerging reports have indicated the association of depression with metabolic alterations. Metabolomics is one of the promising approaches that can offer fresh perspectives into the diagnosis, treatment, and prognosis of depression at the metabolic level. Despite numerous studies exploring metabolite profiles post-pharmacological interventions, a quantitative understanding of consistently altered metabolites is not yet established. The article gives a brief discussion on different biomarkers in depression and the degree to which biomarkers can improve treatment outcomes. In this review article, we have systemically reviewed the role of metabolomics in depression along with current challenges and future perspectives.
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Affiliation(s)
- Pooja Singh
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, 226002, India
| | - Boosani Vasundhara
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, 226002, India
| | - Nabanita Das
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, 226002, India
| | - Ruchika Sharma
- Centre for Precision Medicine and Centre, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, 110017, India
| | - Anoop Kumar
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, 110017, India
| | - Ashok Kumar Datusalia
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, 226002, India.
- Department of Regulatory Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, 226002, India.
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Suneson K, Söderberg Veibäck G, Lindahl J, Tjernberg J, Ståhl D, Ventorp S, Ängeby F, Lundblad K, Wolkowitz OM, Lindqvist D. Omega-3 fatty acids for inflamed depression - A match/mismatch study. Brain Behav Immun 2024; 118:192-201. [PMID: 38432599 DOI: 10.1016/j.bbi.2024.02.029] [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] [Received: 09/30/2023] [Revised: 01/31/2024] [Accepted: 02/27/2024] [Indexed: 03/05/2024] Open
Abstract
Despite decades of research on the pathophysiology of depression, the development of new therapeutic interventions has been slow, and no biomarkers of treatment response have been clinically implemented. Several lines of evidence suggest that the clinical and biological heterogeneity among patients with major depressive disorder (MDD) has hampered progress in this field. MDD with low-grade inflammation - "inflamed depression" - is a subtype of depression that may be associated with a superior antidepressant treatment response to anti-inflammatory compounds. Omega-3 fatty acid eicosapentaenoic acid (EPA) has anti-inflammatory properties, and preliminary data suggest that it may be particularly efficacious in inflamed depression. In this study we tested the hypothesis that add-on EPA has greater antidepressant efficacy in MDD patients with high baseline high-sensitivity C-reactive protein (hs-CRP) compared to MDD patients with low hs-CRP. All subjects received 2.2 g EPA, 400 mg docosahexaenoic acid and 800 mg of other fatty acids daily for 8 weeks, added to stable ongoing antidepressant treatment. The primary outcome was change in the 17-item Hamilton Depression Rating Scale (HAMD-17). Patients and raters were blind to baseline hs-CRP status. In an intention-to-treat analysis including all subjects with at least one post baseline visit (n = 101), ahs-CRPcut-off of ≥1 mg/L, but not ≥3 mg/L, was associated with a greater improvement in HAMD-17 total score. In addition to a general antidepressant effect among patients with hs-CRP ≥ 1 mg/L, adjuvant EPA treatment improved symptoms putatively related to inflamed depression such as fatigue and sleep difficulties. This adds to the mounting evidence that delineation of MDD subgroups based on inflammation may be clinically relevant to predict treatment response to anti-inflammatory interventions.
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Affiliation(s)
- Klara Suneson
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University; Department of Adult Psychiatry, Office for Psychiatry, Habilitation and Technical Aids, Malmö, Sweden
| | - Gustav Söderberg Veibäck
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University; Department of Gastroenterology and Nutrition, Department of Clinical Sciences, Skåne University Hospital, Malmö, Sweden
| | - Jesper Lindahl
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University; Department of Adult Psychiatry, Office for Psychiatry, Habilitation and Technical Aids, Lund, Sweden
| | - Johanna Tjernberg
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University; Psychiatry Research Skåne, Office for Psychiatry, Habilitation and Technical Aids, Lund, Sweden
| | - Darya Ståhl
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University
| | - Simon Ventorp
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University
| | - Filip Ängeby
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University; Department of Adult Psychiatry, Office for Psychiatry, Habilitation and Technical Aids, Lund, Sweden
| | - Karl Lundblad
- Department of Adult Psychiatry, Office for Psychiatry, Habilitation and Technical Aids, Lund, Sweden; Office for Psychiatry, Norra Stockholm Psykiatri, Region Stockholm, Sweden
| | - Owen M Wolkowitz
- Department of Psychiatry and Behavioral Sciences and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Daniel Lindqvist
- Unit for Biological and Precision Psychiatry, Department of Clinical Sciences Lund, Lund University; Psychiatry Research Skåne, Office for Psychiatry, Habilitation and Technical Aids, Lund, Sweden.
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Cash E, Albert C, Palmer I, Polzin B, Kabithe A, Crawford D, Bumpous JM, Sephton SE. Depressive Symptoms, Systemic Inflammation, and Survival Among Patients With Head and Neck Cancer. JAMA Otolaryngol Head Neck Surg 2024; 150:405-413. [PMID: 38546616 PMCID: PMC10979366 DOI: 10.1001/jamaoto.2024.0231] [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: 09/19/2023] [Accepted: 02/03/2024] [Indexed: 04/01/2024]
Abstract
Importance Patients with head and neck cancer experience high rates of depression. Depression and systemic inflammation have been found to be associated in numerous cancer types, often independently from disease status. Depression-related inflammation may elevate the risks for poor tumor response to treatment and early mortality, and comprises a mechanism by which depression is associated with survival in head and neck cancer. Objective To assess mediation pathways incorporating pretreatment depressive symptoms, pretreatment inflammation, and tumor response posttreatment on overall survival among patients with head and neck cancer. Design, Setting, and Participants This was a prospective observational cohort study of patients with head and neck cancer treated in a single multidisciplinary head and neck cancer clinic from May 10, 2013, to December 30, 2019, and followed up for 2 years. Data analysis was performed from June 29, 2022, to June 23, 2023. Exposures Patient-reported depressive symptoms using the Patient Health Questionnaire-9 item (PHQ-9) at treatment planning; pretreatment hematology workup for systemic inflammation index (SII) score; and clinical data review for tumor response (complete vs incomplete) and overall survival. Main Outcomes Two-year overall survival. Results The total study cohort included 394 patients (mean [SD] age, 62.5 [11.5] years; 277 [70.3%] males) with head and neck cancer. Among 285 patients (72.3%) who scored below the clinical cutoff for depression on the PHQ-9, depressive symptoms were significantly associated with inflammation (partial r, 0.168; 95% CI, 0.007-0.038). In addition, both depression and inflammation were associated with early mortality (PHQ-9: hazard ratio [HR], 1.04; 95% CI, 1.02-1.07; SII: HR, 1.36; 95% CI, 1.08-1.71). The depression-survival association was fully mediated by inflammation (HR, 1.28; 95% CI, 1.00-1.64). Depressive symptoms were also associated with poorer tumor response (odds ratio, 1.05; 95% CI, 1.01-1.08), and the depression-survival association was partially mediated by tumor response (HR, 9.44; 95% CI, 6.23-14.32). Systemic inflammation was not associated with tumor response. Conclusions In this cohort study, systemic inflammation emerged as a novel candidate mechanism of the association of depression with mortality. Tumor response partially mediated effects of depression on mortality, replicating prior work. Thus, depression stands out as a highly feasible target for renewed clinical attention. Even mild symptoms of depression during the treatment-planning phase may be associated with higher systemic inflammation in addition to poorer tumor response to treatment and survival outcomes; therefore, depression should be clinically addressed.
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Affiliation(s)
- Elizabeth Cash
- Department of Otolaryngology–Head and Neck Surgery and Communicative Disorders, University of Louisville School of Medicine, Louisville, Kentucky
- University of Louisville Healthcare−Brown Cancer Center, Louisville, Kentucky
| | - Christy Albert
- Department of Otolaryngology–Head and Neck Surgery and Communicative Disorders, University of Louisville School of Medicine, Louisville, Kentucky
| | - Iona Palmer
- University of Louisville School of Medicine, Louisville, Kentucky
| | - Baylee Polzin
- University of Louisville School of Medicine, Louisville, Kentucky
| | - Alyssa Kabithe
- University of Louisville School of Medicine, Louisville, Kentucky
| | - Devaughn Crawford
- Department of Otolaryngology–Head and Neck Surgery and Communicative Disorders, University of Louisville School of Medicine, Louisville, Kentucky
| | - Jeffrey M. Bumpous
- Department of Otolaryngology–Head and Neck Surgery and Communicative Disorders, University of Louisville School of Medicine, Louisville, Kentucky
- University of Louisville Healthcare−Brown Cancer Center, Louisville, Kentucky
| | - Sandra E. Sephton
- Department of Psychology, Brigham Young University, Provo, Utah
- Department of Psychological and Brain Sciences, University of Louisville, Louisville, Kentucky
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Busch A, Roy S, Helbing DL, Colic L, Opel N, Besteher B, Walter M, Bauer M, Refisch A. Gut microbiome in atypical depression. J Affect Disord 2024; 349:277-285. [PMID: 38211751 DOI: 10.1016/j.jad.2024.01.060] [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] [Received: 09/11/2023] [Revised: 12/15/2023] [Accepted: 01/04/2024] [Indexed: 01/13/2024]
Abstract
BACKGROUND Recent studies showed that immunometabolic dysregulation is related to unipolar major depressive disorder (MDD) and that it more consistently maps to MDD patients endorsing an atypical symptom profile, characterized by energy-related symptoms including increased appetite, weight gain, and hypersomnia. Despite the documented influence of the microbiome on immune regulation and energy homeostasis, studies have not yet investigated microbiome differences among clinical groups in individuals with MDD. METHODS Fifteen MDD patients with atypical features according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5)-5, forty-four MDD patients not fulfilling the DSM-5 criteria for the atypical subtype, and nineteen healthy controls were included in the study. Participants completed detailed clinical assessment and stool samples were collected. Samples were sequenced for the prokaryotic 16S rRNA gene, in the V3-V4 variable regions. Only samples with no antibiotic exposure in the previous 12 months and a minimum of >2000 quality-filtered reads were included in the analyses. RESULTS There were no statistically significant differences in alpha- and beta-diversity between the MDD groups and healthy controls. However, within the atypical MDD group, there was an increase in the Verrucomicrobiota phylum, with Akkermansia as the predominant bacterial genus. LIMITATIONS Cross-sectional data, modest sample size, and significantly increased body mass index in the atypical MDD group. CONCLUSIONS There were no overall differences among the investigated groups. However, differences were found at several taxonomic levels. Studies in larger longitudinal samples with relevant confounders are needed to advance the understanding of the microbial influences on the clinical heterogeneity of depression.
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Affiliation(s)
- Anne Busch
- Theoretical Microbial Ecology, Friedrich Schiller University Jena, Jena, Germany; Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany; Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.
| | - Sagnik Roy
- Theoretical Microbial Ecology, Friedrich Schiller University Jena, Jena, Germany
| | - Dario Lucas Helbing
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany; Leibniz Institute on Aging-Fritz Lipmann Institute, 07745 Jena, Germany; Institute of Molecular Cell Biology, Jena University Hospital, Friedrich Schiller University Jena, 07745 Jena, Germany
| | - Lejla Colic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany; German Center for Mental Health (DZPG), Germany
| | - Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany; German Center for Mental Health (DZPG), Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany; Center for Behavioral Brain Sciences, Magdeburg, Germany
| | - Michael Bauer
- Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany; Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
| | - Alexander Refisch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany.
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Grodin EN. Neuroimmune modulators as novel pharmacotherapies for substance use disorders. Brain Behav Immun Health 2024; 36:100744. [PMID: 38435721 PMCID: PMC10906159 DOI: 10.1016/j.bbih.2024.100744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/20/2023] [Accepted: 02/20/2024] [Indexed: 03/05/2024] Open
Abstract
One promising avenue of research is the use of neuroimmune modulators to treat substance use disorders (SUDs). Neuroimmune modulators target the interactions between the nervous system and immune system, which have been found to play a crucial role in the development and maintenance of SUDs. Multiple classes of substances produce alterations to neuroimmune signaling and peripheral immune function, including alcohol, opioids, and psychostimulants Preclinical studies have shown that neuroimmune modulators can reduce drug-seeking behavior and prevent relapse in animal models of SUDs. Additionally, early-phase clinical trials have demonstrated the safety and feasibility of using neuroimmune modulators as a treatment for SUDs in humans. These therapeutics can be used as stand-alone treatments or as adjunctive. This review summarizes the current state of the field and provides future directions with a specific focus on personalized medicine.
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Affiliation(s)
- Erica N. Grodin
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA, USA
- Cousins Center for Psychoneuroimmunology, University of California at Los Angeles, Los Angeles, CA, USA
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11
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Vreijling SR, Chin Fatt CR, Williams LM, Schatzberg AF, Usherwood T, Nemeroff CB, Rush AJ, Uher R, Aitchison KJ, Köhler-Forsberg O, Rietschel M, Trivedi MH, Jha MK, Penninx BWJH, Beekman ATF, Jansen R, Lamers F. Features of immunometabolic depression as predictors of antidepressant treatment outcomes: pooled analysis of four clinical trials. Br J Psychiatry 2024; 224:89-97. [PMID: 38130122 PMCID: PMC10884825 DOI: 10.1192/bjp.2023.148] [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: 04/26/2023] [Revised: 10/03/2023] [Accepted: 10/19/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Profiling patients on a proposed 'immunometabolic depression' (IMD) dimension, described as a cluster of atypical depressive symptoms related to energy regulation and immunometabolic dysregulations, may optimise personalised treatment. AIMS To test the hypothesis that baseline IMD features predict poorer treatment outcomes with antidepressants. METHOD Data on 2551 individuals with depression across the iSPOT-D (n = 967), CO-MED (n = 665), GENDEP (n = 773) and EMBARC (n = 146) clinical trials were used. Predictors included baseline severity of atypical energy-related symptoms (AES), body mass index (BMI) and C-reactive protein levels (CRP, three trials only) separately and aggregated into an IMD index. Mixed models on the primary outcome (change in depressive symptom severity) and logistic regressions on secondary outcomes (response and remission) were conducted for the individual trial data-sets and pooled using random-effects meta-analyses. RESULTS Although AES severity and BMI did not predict changes in depressive symptom severity, higher baseline CRP predicted smaller reductions in depressive symptoms (n = 376, βpooled = 0.06, P = 0.049, 95% CI 0.0001-0.12, I2 = 3.61%); this was also found for an IMD index combining these features (n = 372, βpooled = 0.12, s.e. = 0.12, P = 0.031, 95% CI 0.01-0.22, I2= 23.91%), with a higher - but still small - effect size compared with CRP. Confining analyses to selective serotonin reuptake inhibitor users indicated larger effects of CRP (βpooled = 0.16) and the IMD index (βpooled = 0.20). Baseline IMD features, both separately and combined, did not predict response or remission. CONCLUSIONS Depressive symptoms of people with more IMD features improved less when treated with antidepressants. However, clinical relevance is limited owing to small effect sizes in inconsistent associations. Whether these patients would benefit more from treatments targeting immunometabolic pathways remains to be investigated.
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Affiliation(s)
- Sarah R. Vreijling
- Department of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; and Mental Health Program, Amsterdam Public Health, Amsterdam, The Netherlands
| | - Cherise R. Chin Fatt
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Leanne M. Williams
- Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine, Stanford University, Stanford, California, USA
| | - Alan F. Schatzberg
- Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine, Stanford University, Stanford, California, USA
| | - Tim Usherwood
- Department of General Practice, Westmead Clinical School, University of Sydney, Sydney, Australia; Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; and George Institute for Global Health, Sydney, Australia
| | - Charles B. Nemeroff
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - A. John Rush
- Department of Psychiatry and Behavioral Health, Duke School of Medicine, Durham, North Carolina, USA; and Duke-National University of Singapore, Singapore, Singapore
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Katherine J. Aitchison
- Departments of Psychiatry & Medical Genetics, College of Health Sciences, University of Alberta, Edmonton, Alberta, Canada; Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada; and Women and Children's Research Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark; and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Faculty of Medicine Mannheim, University of Heidelberg, Mannheim, Germany
| | - Madhukar H. Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Manish K. Jha
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Brenda W. J. H. Penninx
- Department of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Mental Health Program, Amsterdam Public Health, Amsterdam, The Netherlands; and Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Aartjan T. F. Beekman
- Department of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Mental Health Program, Amsterdam Public Health, Amsterdam, The Netherlands; and Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; and Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Femke Lamers
- Department of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; and Mental Health Program, Amsterdam Public Health, Amsterdam, The Netherlands
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12
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Kang HJ, Kim JW, Choi W, Lee JY, Kim SW, Shin IS, Kim JM. Use of Serum Biomarkers to Aid Antidepressant Selection in Depressive Patients. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE : THE OFFICIAL SCIENTIFIC JOURNAL OF THE KOREAN COLLEGE OF NEUROPSYCHOPHARMACOLOGY 2024; 22:182-187. [PMID: 38247424 PMCID: PMC10811403 DOI: 10.9758/cpn.23.1071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/10/2023] [Indexed: 01/23/2024]
Abstract
Objective : This study aimed to identify serum biomarkers prospectively associated with remission at 12 weeks in out-patients with depressive disorders receiving stepwise psychopharmacotherapy, according to the main antidepressant used during the treatment period. Methods : This study included 1,024 depressive outpatients initially treated using antidepressant monotherapy, followed by alternating pharmacological strategies during the acute phase (3-12 weeks; 3-week interval). Fourteen serum biomarkers, sociodemographics, and clinical characteristics were evaluated at baseline. Based on the use frequency and mechanism of action, four main antidepressant types were distinguished: escitalopram, other selective serotonin reuptake inhibitors (SSRIs), serotonin norepinephrine reuptake inhibitors (SNRIs), and mirtazapine. A Hamilton Depression Rating Scale score ≤ 7 was take to indicate remission. Results : Lower high-sensitivity C-reactive protein levels were correlated with remission at 12 weeks for all antidepressant types. Lower interleukin (IL)-6 levels and tumor necrosis factor-alpha levels were associated with remission using escitalopram and other SSRIs respectively. Lower IL-1β and leptin levels, predicted remission in association with SSRIs including escitalopram. For SNRIs, remission at 12 weeks was predicted by lower IL-4 and IL-10 levels. For mirtazapine, remission at 12 weeks was associated with lower leptin levels, and higher serotonin and folate levels. Conclusion : Baseline serum status, as estimated by nine serum markers, may help clinicians determine the most appropriate antidepressant to achieve remission in the acute phase of depression.
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Affiliation(s)
- Hee-Ju Kang
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Ju-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Wonsuk Choi
- Department of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Ju-Yeon Lee
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Il-Seon Shin
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Jae-Min Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
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13
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Pastis I, Santos MG, Paruchuri A. Exploring the role of inflammation in major depressive disorder: beyond the monoamine hypothesis. Front Behav Neurosci 2024; 17:1282242. [PMID: 38299049 PMCID: PMC10829100 DOI: 10.3389/fnbeh.2023.1282242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/04/2023] [Indexed: 02/02/2024] Open
Abstract
Major depressive disorder affects approximately 8.4% of the United States population. The World Health Organization estimates that 280 million adults worldwide are suffering from depression. They have estimated that by 2030 it will be the second most serious condition. Current treatment relies on the monoamine hypothesis, however, one-third of patients with MDD do not respond to monoamine-based antidepressants. For years, it was hypothesized that the primary pathway of MDD involved serotonin as the main neurotransmitter. The monoamine hypothesis, a widely accepted theory, sought to explain the biological basis of MDD as being caused by the depletion of monoamine neurotransmitters, namely norepinephrine and serotonin. This hypothesis regarding monoamines as the pathophysiological basis of MDD led to the design and widespread use of selective serotonin reuptake inhibitors. However, given that only one-third of patients improve with SSRI it is reasonable to infer that the pathway involved is more complex than once hypothesized and there are more neurotransmitters, receptors, and molecules involved. The monoamine hypothesis does not explain why there is a delay in the onset of effect and action of SSRIs. Several studies have demonstrated that chronic stress is a risk factor for the development of MDD. Thus the monoamine hypothesis alone is not enough to fully account for the pathophysiology of MDD highlighting the need for further research involving the pathways of MDD. In this paper, we review the role of inflammation and cytokines on MDD and discuss other pathways involved in the development and persistence of depressive symptoms.
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Affiliation(s)
- Irene Pastis
- Department of Psychiatry and Behavioral Medicine, East Carolina University, Greenville, NC, United States
| | - Melody G. Santos
- Internal Medicine and Psychiatry Combined Program, Department of Psychiatry and Behavioral Medicine, East Carolina University, Greenville, NC, United States
| | - Akshita Paruchuri
- East Carolina University Brody School of Medicine, Greenville, NC, United States
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14
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Jaber M, Kahwaji H, Nasr S, Baz R, Kim YK, Fakhoury M. Precision Medicine in Depression: The Role of Proteomics and Metabolomics in Personalized Treatment Approaches. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1456:359-378. [PMID: 39261438 DOI: 10.1007/978-981-97-4402-2_18] [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: 09/13/2024]
Abstract
Depression, or major depressive disorder (MDD), is a widespread mental health condition marked by enduring feelings of sorrow and loss of interest. Treatment of depression frequently combines psychotherapy, medication, and lifestyle modifications. However, the occurrence of treatment resistance in certain individuals makes it difficult for physicians to effectively manage this disorder, calling for the implementation of alternative therapeutic strategies. Recently, precision medicine has gained increased attention in the field of mental health, paving the way for more personalized and effective therapeutic interventions in depression. Also known as personalized medicine, this approach relies on genetic composition, molecular profiles, and environmental variables to customize therapies to individual patients. In particular, precision medicine has offered novel viewpoints on depression through two specific domains: proteomics and metabolomics. On one hand, proteomics is the thorough study of proteins in a biological system, while metabolomics focuses on analyzing the complete set of metabolites in a living being. In the past few years, progress in research has led to the identification of numerous depression-related biomarkers using proteomics and metabolomics techniques, allowing for early identification, precise diagnosis, and improved clinical outcome. However, despite significant progress in these techniques, further efforts are required for advancing precision medicine in the diagnosis and treatment of depression. The overarching goal of this chapter is to provide the current state of knowledge regarding the use of proteomics and metabolomics in identifying biomarkers related to depression. It also highlights the potential of proteomics and metabolomics in elucidating the intricate processes underlying depression, opening the door for tailored therapies that could eventually enhance clinical outcome in depressed patients. This chapter finally discusses the main challenges in the use of proteomics and metabolomics and discusses potential future research directions.
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Affiliation(s)
- Mohamad Jaber
- School of Medicine, American University of Beirut, Beirut, Lebanon
| | - Hamza Kahwaji
- School of Medicine, Lebanese American University, Byblos, Lebanon
| | - Sirine Nasr
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon
| | - Reine Baz
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Marc Fakhoury
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon.
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15
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Mancuso E, Sampogna G, Boiano A, Della Rocca B, Di Vincenzo M, Lapadula MV, Martinelli F, Lucci F, Luciano M. Biological correlates of treatment resistant depression: a review of peripheral biomarkers. Front Psychiatry 2023; 14:1291176. [PMID: 37941970 PMCID: PMC10628469 DOI: 10.3389/fpsyt.2023.1291176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 09/29/2023] [Indexed: 11/10/2023] Open
Abstract
Introduction Many patients fail to respond to multiple antidepressant interventions, being defined as "treatment-resistant depression" (TRD) patients. TRD is usually associated with increased severity and chronicity of symptoms, increased risk of comorbidity, and higher suicide rates, which make the clinical management challenging. Efforts to distinguish between TRD patients and those who will respond to treatment have been unfruitful so far. Several studies have tried to identify the biological, psychopathological, and psychosocial correlates of depression, with particular attention to the inflammatory system. In this paper we aim to review available studies assessing the full range of biomarkers in TRD patients in order to reshape TRD definition and improve its diagnosis, treatment, and prognosis. Methods We searched the most relevant medical databases and included studies reporting original data on possible biomarkers of TRD. The keywords "treatment resistant depression" or "TRD" matched with "biomarker," "inflammation," "hormone," "cytokine" or "biological marker" were entered in PubMed, ISI Web of Knowledge and SCOPUS databases. Articles were included if they included a comparison with healthy controls (HC). Results Of the 1878 papers identified, 35 were included in the present study. Higher plasma levels of IL-6 and TNF-α were detected in TRD patients compared to HC. While only a few studies on cortisol have been found, four papers showed elevated levels of C-reactive protein among these patients and four articles focused on immunological cells. Altered kynurenine metabolism in TRD patients was reported in two studies, while contrasting results were found with regard to BDNF. Conclusion Only a few biological alterations correlate with TRD. TNF-α seems to be the most relevant biomarker to discriminate TRD patients from both HC and treatment-responsive MDD patients. Moreover, several discrepancies among studies have been found, due to methodological differences and the lack of a standardized diagnostic definition of TRD.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Mario Luciano
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Caserta, Italy
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16
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Kargbo RB. Pioneering Changes in Psychiatry: Biomarkers, Psychedelics, and AI. ACS Med Chem Lett 2023; 14:1134-1137. [PMID: 37736175 PMCID: PMC10510497 DOI: 10.1021/acsmedchemlett.3c00333] [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: 07/30/2023] [Accepted: 08/11/2023] [Indexed: 09/23/2023] Open
Abstract
This viewpoint discusses integrating biomarkers, psychedelics, and AI into psychiatry for enhanced diagnostics, prognosis, and treatment. It highlights the potential of psychedelics in therapy, AI's role in predicting treatment response, and the challenges that must be addressed. The aim is to encourage research for more precise, personalized psychiatric care.
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Affiliation(s)
- Robert B Kargbo
- API & DP Development, CMC Lead, Usona Institute, 2780 Woods Hollow Road, Madison, Wisconsin 53711, United States
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17
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Sajjadian M, Uher R, Ho K, Hassel S, Milev R, Frey BN, Farzan F, Blier P, Foster JA, Parikh SV, Müller DJ, Rotzinger S, Soares CN, Turecki G, Taylor VH, Lam RW, Strother SC, Kennedy SH. Prediction of depression treatment outcome from multimodal data: a CAN-BIND-1 report. Psychol Med 2023; 53:5374-5384. [PMID: 36004538 PMCID: PMC10482706 DOI: 10.1017/s0033291722002124] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/04/2022] [Accepted: 06/20/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Prediction of treatment outcomes is a key step in improving the treatment of major depressive disorder (MDD). The Canadian Biomarker Integration Network in Depression (CAN-BIND) aims to predict antidepressant treatment outcomes through analyses of clinical assessment, neuroimaging, and blood biomarkers. METHODS In the CAN-BIND-1 dataset of 192 adults with MDD and outcomes of treatment with escitalopram, we applied machine learning models in a nested cross-validation framework. Across 210 analyses, we examined combinations of predictive variables from three modalities, measured at baseline and after 2 weeks of treatment, and five machine learning methods with and without feature selection. To optimize the predictors-to-observations ratio, we followed a tiered approach with 134 and 1152 variables in tier 1 and tier 2 respectively. RESULTS A combination of baseline tier 1 clinical, neuroimaging, and molecular variables predicted response with a mean balanced accuracy of 0.57 (best model mean 0.62) compared to 0.54 (best model mean 0.61) in single modality models. Adding week 2 predictors improved the prediction of response to a mean balanced accuracy of 0.59 (best model mean 0.66). Adding tier 2 features did not improve prediction. CONCLUSIONS A combination of clinical, neuroimaging, and molecular data improves the prediction of treatment outcomes over single modality measurement. The addition of measurements from the early stages of treatment adds precision. Present results are limited by lack of external validation. To achieve clinically meaningful prediction, the multimodal measurement should be scaled up to larger samples and the robustness of prediction tested in an external validation dataset.
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Affiliation(s)
- Mehri Sajjadian
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Rudolf Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Keith Ho
- University Health Network, 399 Bathurst Street, Toronto, ON, M5T 2S8, Canada
- Unity Health Toronto, St. Michael's Hospital, 193 Yonge Street, 6th floor, Toronto, ON, M5B 1M4, Canada
| | - Stefanie Hassel
- Department of Psychiatry and Mathison Centre for Mental Health Research and Education, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Roumen Milev
- Departments of Psychiatry and Psychology, Queen's University, Providence Care Hospital, Kingston, ON, Canada
| | - Benicio N. Frey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
- Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Faranak Farzan
- eBrain Lab, School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada
| | - Pierre Blier
- The Royal's Institute of Mental Health Research, 1145 Carling Avenue, Ottawa, ON, K1Z 7K4, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada
- Department of Psychiatry, University of Ottawa, 1145 Carling Avenue, Ottawa, ON, K1Z 7K4, Canada
| | - Jane A. Foster
- Department of Psychiatry & Behavioural Neurosciences, St Joseph's Healthcare, Hamilton, ON, Canada
| | - Sagar V. Parikh
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Daniel J. Müller
- Campbell Family Mental Health Research Institute, Center for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Susan Rotzinger
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, St Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Claudio N. Soares
- Department of Psychiatry, Queen's University School of Medicine, Kingston, ON, Canada
| | - Gustavo Turecki
- Department of Psychiatry, Douglas Institute, McGill University, Montreal, QC, Canada
| | - Valerie H. Taylor
- Department of Psychiatry, Foothills Medical Centre, University of Calgary, Calgary, AB, Canada
| | - Raymond W. Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Stephen C. Strother
- Rotman Research Center, Baycrest, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Sidney H. Kennedy
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, St Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University Health Network, Toronto, Ontario, Canada
- Krembil Research Centre, University Health Network, University of Toronto, Toronto, Canada
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18
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Bernier V, Debarge MH, Hein M, Ammendola S, Mungo A, Loas G. Major Depressive Disorder, Inflammation, and Nutrition: A Tricky Pattern? Nutrients 2023; 15:3438. [PMID: 37571376 PMCID: PMC10420964 DOI: 10.3390/nu15153438] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 07/20/2023] [Accepted: 07/28/2023] [Indexed: 08/13/2023] Open
Abstract
Major depressive disorder (MDD) is a psychiatric disease associated with inflammation. The Western diet (WD) is a high-fat, high-sugar diet also associated with inflammation. We aimed to show whether the diet of MDD patients was a WD and could act as a risk factor in this context. We conducted a transversal study of MDD patients and controls (CTRLs) without comorbidities. We performed blood analyses including C-reactive protein (CRP), a diet anamnesis, and an advanced glycation end-product assessment. We found that 34.37% of MDD patients had a CRP level above 3 to 10 mg/L, which remained higher than CTRLs after adjustments (sex, BMI, age, smoking status). The MDD patients had an excess of sugar and saturated and trans fatty acids; a deficiency in n-3 polyunsaturated fatty acid, monounsaturated acid, dietary fibers, and antioxidants; a high glycemic load; and aggravating nutritional factors when compared to the CTRLs. We found correlations between nutritional factors and CRP in univariate/multivariate analysis models. Thus, MDD patients showed an elevated CRP level and a WD pattern that could contribute to sustaining an inflammatory state. Further studies are required to confirm this, but the results highlighted the importance of nutrition in the context of MDD.
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Affiliation(s)
- Veronique Bernier
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium (M.H.); (G.L.)
| | - Marie-Hélène Debarge
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium (M.H.); (G.L.)
| | - Matthieu Hein
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium (M.H.); (G.L.)
| | - Sarah Ammendola
- Department of Psychiatry, Brugmann University Hospital, Université Libre de Bruxelles—ULB, 1020 Brussels, Belgium
| | - Anais Mungo
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium (M.H.); (G.L.)
| | - Gwenole Loas
- Department of Psychiatry and Sleep Laboratory, Erasme Hospital, Université Libre de Bruxelles—ULB, 1070 Brussels, Belgium (M.H.); (G.L.)
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19
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Wang S, Cai Q, Xu L, Sun Y, Wang M, Wang Y, Zhang L, Li K, Ni Z. Isoalantolactone relieves depression-like behaviors in mice after chronic social defeat stress via the gut-brain axis. Psychopharmacology (Berl) 2023; 240:1775-1787. [PMID: 37400661 PMCID: PMC10349788 DOI: 10.1007/s00213-023-06413-8] [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: 01/09/2023] [Accepted: 06/20/2023] [Indexed: 07/05/2023]
Abstract
RATIONALE The management of depression continues to be challenging despite the variety of available antidepressants. Herbal medicines are used in many cultures but lack stringent testing to understand their efficacy and mechanism of action. Isoalantolactone (LAT) from Elecampane (Inula helenium) improved the chronic social defeat stress (CSDS)-induced anhedonia-like phenotype in mice comparable to fluoxetine, a selective serotonin reuptake inhibitor (SSRI). OBJECTIVES Compare the effects of LAT and fluoxetine on depression-like behaviors in mice exposed to CSDS. RESULT The CSDS-induced decrease in protein expression of postsynaptic density (PSD95), brain derived neurotrophic factor (BDNF), and glutamate receptor subunit-1 (GluA1) in the prefrontal cortex was restored by LAT. LAT showed robust anti-inflammatory activity and can lessen the increase in IL-6 and TNF-α caused by CSDS. CSDS altered the gut microbiota at the taxonomic level, resulting in significant changes in α- and β-diversity. LAT treatment reestablished the bacterial abundance and diversity and increased the production of butyric acid in the gut that was inhibited by CSDS. The levels of butyric acid were negatively correlated with the abundance of Bacteroidetes, and positively correlated with those of Proteobacteria and Firmicutes across all treatment groups. CONCLUSIONS The current data suggest that, similar to fluoxetine, LAT show antidepressant-like effects in mice exposed to CSDS through the modulation of the gut-brain axis.
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Affiliation(s)
- Siming Wang
- School of Basic Medical Science, Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Qihan Cai
- School of Basic Medical Science, Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Lu Xu
- School of Basic Medical Science, Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Yanan Sun
- College of Traditional Chinese Medicine, Hebei University, Baoding, 071000, China
| | - Mengmeng Wang
- School of Basic Medical Science, Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Yu Wang
- School of Basic Medical Science, Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Lili Zhang
- Hebei Provincial Mental Health Center, Baoding, 071000, Hebei Province, China
- Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, 071000, China
| | - Keqing Li
- Hebei Provincial Mental Health Center, Baoding, 071000, Hebei Province, China.
- Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, 071000, China.
- , Baoding, China.
| | - Zhiyu Ni
- Affiliated Hospital of Hebei University, Baoding, 071000, China.
- Clinical Medical College, Hebei University, Baoding, 071000, Hebei Province, People's Republic of China.
- Hebei Collaborative Innovation Center of Tumor Microecological Metabolism Regulation, Baoding, 071000, China.
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20
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Gonda X, Serafini G, Dome P. Fight the Fire: Association of Cytokine Genomic Markers and Suicidal Behavior May Pave the Way for Future Therapies. J Pers Med 2023; 13:1078. [PMID: 37511694 PMCID: PMC10381806 DOI: 10.3390/jpm13071078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/23/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023] Open
Abstract
The fight against suicide is highly challenging as it may be one of the most complex and, at the same time, most threatening among all psychiatric phenomena. In spite of its huge impact, and despite advances in neurobiology research, understanding and predicting suicide remains a major challenge for both researchers and clinicians. To be able to identify those patients who are likely to engage in suicidal behaviors and identify suicide risk in a reliable and timely manner, we need more specific, novel biological and genetic markers/indicators to develop better screening and diagnostic methods, and in the next step to utilize these molecules as intervention targets. One such potential novel approach is offered by our increasing understanding of the involvement of neuroinflammation based on multiple observations of increased proinflammatory states underlying various psychiatric disorders, including suicidal behavior. The present paper overviews our existing understanding of the association between suicide and inflammation, including peripheral and central biomarkers, genetic and genomic markers, and our current knowledge of intervention in suicide risk using treatments influencing inflammation; also overviewing the next steps to be taken and obstacles to be overcome before we can utilize cytokines in the treatment of suicidal behavior.
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Affiliation(s)
- Xenia Gonda
- Department of Psychiatry and Psychotherapy, Semmelweis University, 1085 Budapest, Hungary
- NAP3.0-SE Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University, 1085 Budapest, Hungary
- International Centre for Education and Research in Neuropsychiatry (ICERN), Samara State Medical University, 443079 Samara, Russia
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16126 Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Peter Dome
- Department of Psychiatry and Psychotherapy, Semmelweis University, 1085 Budapest, Hungary
- National Institute of Mental Health, Neurology and Neurosurgery, 1135 Budapest, Hungary
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21
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Rikhani K, Vas C, Jha MK. Approach to Diagnosis and Management of Treatment-Resistant Depression. Psychiatr Clin North Am 2023; 46:247-259. [PMID: 37149343 DOI: 10.1016/j.psc.2023.02.011] [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] [Indexed: 05/08/2023]
Abstract
Major depressive disorder is a chronic and recurrent illness that affects 20% of adults during their lifetime and is one of the leading causes of suicide in the United States. A systematic measurement-based care approach is the essential first step in the diagnosis and management of treatment-resistant depression (TRD) by promptly identifying individuals with depression and avoiding delays in treatment initiation. As comorbidities may be associated with poorer outcomes to commonly used antidepressants and increase risk of drug-drug interactions, their recognition and treatment is an essential component of management of TRD.
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Affiliation(s)
- Karina Rikhani
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9119, USA
| | - Collin Vas
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9119, USA
| | - Manish Kumar Jha
- Department of Psychiatry, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9119, USA; Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390-9119, USA.
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22
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Sforzini L, Cattaneo A, Ferrari C, Turner L, Mariani N, Enache D, Hastings C, Lombardo G, Nettis MA, Nikkheslat N, Worrell C, Zajkowska Z, Kose M, Cattane N, Lopizzo N, Mazzelli M, Pointon L, Cowen PJ, Cavanagh J, Harrison NA, Jones D, Drevets WC, Mondelli V, Bullmore ET, Pariante CM. Higher immune-related gene expression in major depression is independent of CRP levels: results from the BIODEP study. Transl Psychiatry 2023; 13:185. [PMID: 37264010 PMCID: PMC10235092 DOI: 10.1038/s41398-023-02438-x] [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: 10/05/2022] [Revised: 04/14/2023] [Accepted: 04/19/2023] [Indexed: 06/03/2023] Open
Abstract
Compelling evidence demonstrates that some individuals suffering from major depressive disorder (MDD) exhibit increased levels of inflammation. Most studies focus on inflammation-related proteins, such as serum or plasma C-reactive protein (CRP). However, the immune-related modifications associated with MDD may be not entirely captured by CRP alone. Analysing mRNA gene expression levels, we aimed to identify broader molecular immune-related phenotypes of MDD. We examined 168 individuals from the non-interventional, case-control, BIODEP study, 128 with a diagnosis of MDD and 40 healthy controls. Individuals with MDD were further divided according to serum high-sensitivity (hs)CRP levels (n = 59 with CRP <1, n = 33 with CRP 1-3 and n = 36 with CRP >3 mg/L). We isolated RNA from whole blood and performed gene expression analyses using RT-qPCR. We measured the expression of 16 immune-related candidate genes: A2M, AQP4, CCL2, CXCL12, CRP, FKBP5, IL-1-beta, IL-6, ISG15, MIF, GR, P2RX7, SGK1, STAT1, TNF-alpha and USP18. Nine of the 16 candidate genes were differentially expressed in MDD cases vs. controls, with no differences between CRP-based groups. Only CRP mRNA was clearly associated with serum CRP. In contrast, plasma (proteins) IL-6, IL-7, IL-8, IL-10, IL-12/IL-23p40, IL-16, IL-17A, IFN-gamma and TNF-alpha, and neutrophils counts, were all differentially regulated between CRP-based groups (higher in CRP >3 vs. CRP <1 and/or controls), reflecting the gradient of CRP values. Secondary analyses on MDD individuals and controls with CRP values <1 mg/L (usually interpreted as 'no inflammation') confirmed MDD cases still had significantly different mRNA expression of immune-related genes compared with controls. These findings corroborate an immune-related molecular activation in MDD, which appears to be independent of serum CRP levels. Additional biological mechanisms may then be required to translate this mRNA signature into inflammation at protein and cellular levels. Understanding these mechanisms will help to uncover the true immune abnormalities in depression, opening new paths for diagnosis and treatment.
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Affiliation(s)
- Luca Sforzini
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK.
| | - Annamaria Cattaneo
- Biological Psychiatric Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125, Brescia, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Clarissa Ferrari
- Research and Clinical Trials Service, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, 25124, Italy
| | - Lorinda Turner
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Nicole Mariani
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Daniela Enache
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Caitlin Hastings
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Giulia Lombardo
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Maria A Nettis
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Naghmeh Nikkheslat
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Courtney Worrell
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Zuzanna Zajkowska
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Melisa Kose
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
| | - Nadia Cattane
- Biological Psychiatric Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125, Brescia, Italy
| | - Nicola Lopizzo
- Biological Psychiatric Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125, Brescia, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Monica Mazzelli
- Biological Psychiatric Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125, Brescia, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Linda Pointon
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Philip J Cowen
- University of Oxford Department of Psychiatry, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Jonathan Cavanagh
- Centre for Immunobiology, School of Infection & Immunity, University of Glasgow, G12 8TA, Glasgow, Scotland
| | - Neil A Harrison
- School of Medicine, School of Psychology, Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ, UK
| | - Declan Jones
- Neuroscience External Innovation, Janssen Pharmaceuticals, J&J Innovation Centre, London, W1G 0BG, UK
| | - Wayne C Drevets
- Janssen Research & Development, Neuroscience Therapeutic Area, 3210 Merryfield Row, San Diego, CA, 92121, USA
| | - Valeria Mondelli
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
| | - Edward T Bullmore
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SZ, UK
| | - Carmine M Pariante
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, Maurice Wohl Clinical Neuroscience Institute, London, SE5 9RT, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, UK
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23
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Refisch A, Sen ZD, Klassert TE, Busch A, Besteher B, Danyeli LV, Helbing D, Schulze-Späte U, Stallmach A, Bauer M, Panagiotou G, Jacobsen ID, Slevogt H, Opel N, Walter M. Microbiome and immuno-metabolic dysregulation in patients with major depressive disorder with atypical clinical presentation. Neuropharmacology 2023; 235:109568. [PMID: 37182790 DOI: 10.1016/j.neuropharm.2023.109568] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 03/24/2023] [Accepted: 04/30/2023] [Indexed: 05/16/2023]
Abstract
Depression is highly prevalent (6% 1-year prevalence) and is the second leading cause of disability worldwide. Available treatment options for depression are far from optimal, with response rates only around 50%. This is most likely related to a heterogeneous clinical presentation of major depression disorder (MDD), suggesting different manifestations of underlying pathophysiological mechanisms. Poorer treatment outcomes to first-line antidepressants were reported in MDD patients endorsing an "atypical" symptom profile that is characterized by preserved reactivity in mood, increased appetite, hypersomnia, a heavy sensation in the limbs, and interpersonal rejection sensitivity. In recent years, evidence has emerged that immunometabolic biological dysregulation is an important underlying pathophysiological mechanism in depression, which maps more consistently to atypical features. In the last few years human microbial residents have emerged as a key influencing variable associated with immunometabolic dysregulations in depression. The microbiome plays a critical role in the training and development of key components of the host's innate and adaptive immune systems, while the immune system orchestrates the maintenance of key features of the host-microbe symbiosis. Moreover, by being a metabolically active ecosystem commensal microbes may have a huge impact on signaling pathways, involved in underlying mechanisms leading to atypical depressive symptoms. In this review, we discuss the interplay between the microbiome and immunometabolic imbalance in the context of atypical depressive symptoms. Although research in this field is in its infancy, targeting biological determinants in more homogeneous clinical presentations of MDD may offer new avenues for the development of novel therapeutic strategies for treatment-resistant depression.
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Affiliation(s)
- Alexander Refisch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany.
| | - Zümrüt Duygu Sen
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
| | - Tilman E Klassert
- Host Septomics Group, Centre for Innovation Competence (ZIK) Septomics, University Hospital Jena, 07745, Jena, Germany; Respiratory Infection Dynamics, Helmholtz Centre for Infection Research (HZI), Inhoffenstr, Braunschweig, Germany
| | - Anne Busch
- Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany; Center for Sepsis Control and Care, Jena, Germany
| | - Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Lena Vera Danyeli
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany
| | - Dario Helbing
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany; Leibniz Institute on Aging-Fritz Lipmann Institute, 07745, Jena, Germany; Institute of Molecular Cell Biology, Jena University Hospital, Friedrich Schiller University Jena, 07745, Jena, Germany
| | - Ulrike Schulze-Späte
- Section of Geriodontics, Department of Conservative Dentistry and Periodontology, Jena University Hospital, Jena, Germany
| | - Andreas Stallmach
- Department of Internal Medicine IV (Gastroenterology, Hepatology and Infectious Diseases), Jena University Hospital, Germany
| | - Michael Bauer
- Department of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany; Center for Sepsis Control and Care, Jena, Germany; Theoretical Microbial Ecology, Friedrich Schiller University Jena, Jena, Germany
| | - Gianni Panagiotou
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology, Hans-Knöll-Institute, Jena, Germany
| | - Ilse D Jacobsen
- Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany, and Institute of Microbiology, Friedrich Schiller University Jena, Jena, Germany
| | - Hortense Slevogt
- Host Septomics Group, Centre for Innovation Competence (ZIK) Septomics, University Hospital Jena, 07745, Jena, Germany; Respiratory Infection Dynamics, Helmholtz Centre for Infection Research (HZI), Inhoffenstr, Braunschweig, Germany; Department of Pulmonary Medicine, Hannover Medical School, 30625, Hannover, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany; German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany; Clinical Affective Neuroimaging Laboratory (CANLAB), Magdeburg, Germany; German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Germany; Center for Behavioral Brain Sciences, Magdeburg, Germany
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24
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Szymkowicz SM, Gerlach AR, Homiack D, Taylor WD. Biological factors influencing depression in later life: role of aging processes and treatment implications. Transl Psychiatry 2023; 13:160. [PMID: 37160884 PMCID: PMC10169845 DOI: 10.1038/s41398-023-02464-9] [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: 11/24/2022] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/11/2023] Open
Abstract
Late-life depression occurring in older adults is common, recurrent, and malignant. It is characterized by affective symptoms, but also cognitive decline, medical comorbidity, and physical disability. This behavioral and cognitive presentation results from altered function of discrete functional brain networks and circuits. A wide range of factors across the lifespan contributes to fragility and vulnerability of those networks to dysfunction. In many cases, these factors occur earlier in life and contribute to adolescent or earlier adulthood depressive episodes, where the onset was related to adverse childhood events, maladaptive personality traits, reproductive events, or other factors. Other individuals exhibit a later-life onset characterized by medical comorbidity, pro-inflammatory processes, cerebrovascular disease, or developing neurodegenerative processes. These later-life processes may not only lead to vulnerability to the affective symptoms, but also contribute to the comorbid cognitive and physical symptoms. Importantly, repeated depressive episodes themselves may accelerate the aging process by shifting allostatic processes to dysfunctional states and increasing allostatic load through the hypothalamic-pituitary-adrenal axis and inflammatory processes. Over time, this may accelerate the path of biological aging, leading to greater brain atrophy, cognitive decline, and the development of physical decline and frailty. It is unclear whether successful treatment of depression and avoidance of recurrent episodes would shift biological aging processes back towards a more normative trajectory. However, current antidepressant treatments exhibit good efficacy for older adults, including pharmacotherapy, neuromodulation, and psychotherapy, with recent work in these areas providing new guidance on optimal treatment approaches. Moreover, there is a host of nonpharmacological treatment approaches being examined that take advantage of resiliency factors and decrease vulnerability to depression. Thus, while late-life depression is a recurrent yet highly heterogeneous disorder, better phenotypic characterization provides opportunities to better utilize a range of nonspecific and targeted interventions that can promote recovery, resilience, and maintenance of remission.
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Affiliation(s)
- Sarah M Szymkowicz
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew R Gerlach
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Damek Homiack
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
| | - Warren D Taylor
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA.
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA.
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25
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Orsolini L, Ricci L, Pompili S, Cicolini A, Volpe U. Eveningness chronotype and depressive affective temperament associated with higher high-sensitivity C-reactive protein in unipolar and bipolar depression. J Affect Disord 2023; 332:210-220. [PMID: 37054896 DOI: 10.1016/j.jad.2023.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 02/27/2023] [Accepted: 04/03/2023] [Indexed: 04/15/2023]
Abstract
BACKGROUND Several studies investigated the role of inflammation in the etiopathogenesis of mood disorders. The aim of our cross-sectional study is evaluating baseline high-sensitivity C-reactive-protein (hsCRP) levels in a cohort of unipolar and bipolar depressive inpatients, in relation with psychopathological, temperamental and chronotype features. METHODS Among 313 screened inpatients, we retrospectively recruited 133 moderate-to-severe depressive patients who were assessed for hsCRP levels, chronotype with Morningness-Eveningness Questionnaire (MEQ) and affective temperament with Temperament Evaluation of Memphis, Pisa, Paris and San Diego (TEMPS). LIMITATIONS The cross-sectional and retrospective design of the study, the small sample size, the exclusion of hypomanic, maniac and euthymic bipolar patients. RESULTS hsCRP levels were significantly higher among those with previous suicide attempt (p = 0.05), death (p = 0.018) and self-harm/self-injury thoughts (p = 0.011). Linear regression analyses, adjusted for all covariates, demonstrated that higher scores at the TEMPS-M depressive, while lower scores at the hyperthymic and irritable affective temperaments [F = 88.955, R2 = 0.710, p < 0.001] and lower MEQ scores [F = 75.456, R2 = 0.405, p < 0.001] statistically significantly predicted higher hsCRP. CONCLUSION Eveningness chronotype and a depressive affective temperament appeared to be associated with higher hsCRP levels during moderate-to-severe unipolar and bipolar depression. Further longitudinal and larger studies should better characterise patients with mood disorders by investigating the influence of chronotype and temperament.
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Affiliation(s)
- Laura Orsolini
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy
| | - Leonardo Ricci
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy
| | - Simone Pompili
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy
| | - Angelica Cicolini
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy.
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26
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Kim JM, Kang HJ, Kim JW, Choi W, Lee JY, Kim SW, Shin IS. Age-specific associations between inflammatory markers and remission of depression during antidepressant use. Psychiatry Res 2023; 324:115198. [PMID: 37058794 DOI: 10.1016/j.psychres.2023.115198] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/04/2023] [Accepted: 04/09/2023] [Indexed: 04/16/2023]
Abstract
The roles of inflammatory markers in predicting the response to antidepressants are controversial. The levels of inflammatory markers increase with age. Here, we compared the associations of inflammatory markers with remission during 12-week pharmacotherapy according to patient age. Higher high-sensitivity C-reactive protein (hsCRP) levels were associated with non-remission in younger, but not older, patients. However, higher interleukin (IL)-1β and IL-6 levels were associated with non-remission in all patients, regardless of age. Differential associations were observed between inflammatory markers and remission, according to patient age. Patient age should be considered when predicting the response to antidepressants based on serum hsCRP level.
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Affiliation(s)
- Jae-Min Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
| | - Hee-Ju Kang
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Ju-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Wonsuk Choi
- Department of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Ju-Yeon Lee
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
| | - Il-Seon Shin
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
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27
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Johnston JN, Greenwald MS, Henter ID, Kraus C, Mkrtchian A, Clark NG, Park LT, Gold P, Zarate CA, Kadriu B. Inflammation, stress and depression: An exploration of ketamine's therapeutic profile. Drug Discov Today 2023; 28:103518. [PMID: 36758932 PMCID: PMC10050119 DOI: 10.1016/j.drudis.2023.103518] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 12/13/2022] [Accepted: 01/31/2023] [Indexed: 02/09/2023]
Abstract
Well-established animal models of depression have described a proximal relationship between stress and central nervous system (CNS) inflammation - a relationship mirrored in the peripheral inflammatory biomarkers of individuals with depression. Evidence also suggests that stress-induced proinflammatory states can contribute to the neurobiology of treatment-resistant depression. Interestingly, ketamine, a rapid-acting antidepressant, can partially exert its therapeutic effects via anti-inflammatory actions on the hypothalamic-pituitary adrenal (HPA) axis, the kynurenine pathway or by cytokine suppression. Further investigations into the relationship between ketamine, inflammation and stress could provide insight into ketamine's unique therapeutic mechanisms and stimulate efforts to develop rapid-acting, anti-inflammatory-based antidepressants.
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Affiliation(s)
- Jenessa N Johnston
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
| | - Maximillian S Greenwald
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Ioline D Henter
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Kraus
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Anahit Mkrtchian
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Neil G Clark
- US School of Medicine, Uniformed Services University, Bethesda, MD, USA
| | - Lawrence T Park
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Philip Gold
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Carlos A Zarate
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - Bashkim Kadriu
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
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He Q, Wu KCH, Bennett AN, Fan B, Liu J, Huang R, Kong APS, Tian X, Kwok MKM, Chan KHK. Non-steroidal anti-inflammatory drug target gene associations with major depressive disorders: a Mendelian randomisation study integrating GWAS, eQTL and mQTL Data. THE PHARMACOGENOMICS JOURNAL 2023:10.1038/s41397-023-00302-1. [PMID: 36966195 PMCID: PMC10382318 DOI: 10.1038/s41397-023-00302-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 02/10/2023] [Accepted: 03/07/2023] [Indexed: 03/27/2023]
Abstract
Previous observational studies reported associations between non-steroidal anti-inflammatory drugs (NSAIDs) and major depressive disorder (MDD), however, these associations are often inconsistent and underlying biological mechanisms are still poorly understood. We conducted a two-sample Mendelian randomisation (MR) study to examine relationships between genetic variants and NSAID target gene expression or DNA methylation (DNAm) using publicly available expression, methylation quantitative trait loci (eQTL or mQTL) data and genetic variant-disease associations from genome-wide association studies (GWAS of MDD). We also assessed drug exposure using gene expression and DNAm levels of NSAID targets as proxies. Genetic variants were robustly adjusted for multiple comparisons related to gene expression, DNAm was used as MR instrumental variables and GWAS statistics of MDD as the outcome. A 1-standard deviation (SD) lower expression of NEU1 in blood was related to lower C-reactive protein (CRP) levels of -0.215 mg/L (95% confidence interval (CI): 0.128-0.426) and a decreased risk of MDD (odds ratio [OR] = 0.806; 95% CI: 0.735-0.885; p = 5.36 × 10-6). A concordant direction of association was also observed for NEU1 DNAm levels in blood and a risk of MDD (OR = 0.886; 95% CI: 0.836-0.939; p = 4.71 × 10-5). Further, the genetic variants associated with MDD were mediated by NEU1 expression via DNAm (β = -0.519; 95% CI: -0.717 to -0.320256; p = 3.16 × 10-7). We did not observe causal relationships between inflammatory genetic marker estimations and MDD risk. Yet, we identified a concordant association of NEU1 messenger RNA and an adverse direction of association of higher NEU1 DNAm with MDD risk. These results warrant increased pharmacovigilance and further in vivo or in vitro studies to investigate NEU1 inhibitors or supplements for MDD.
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Affiliation(s)
- Qian He
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Kevin Chun Hei Wu
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Adam N Bennett
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Beifang Fan
- Department of Mental Health, Shenzhen Nanshan Centre for Chronic Disease Control, Shenzhen, China
| | - Jundong Liu
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China
| | - Ruixuan Huang
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Xiaoyu Tian
- School of Biomedical Sciences and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Hong Kong SAR, China
- Heart and Vascular Institute and Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Man Ki Maggie Kwok
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kei Hang Katie Chan
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong SAR, China.
- Department of Electrical Engineering, City University of Hong Kong, Hong Kong SAR, China.
- Department of Epidemiology, Centre for Global Cardiometabolic Health, Brown University, Providence, RI, USA.
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Sánchez-Carro Y, de la Torre-Luque A, Leal-Leturia I, Salvat-Pujol N, Massaneda C, de Arriba-Arnau A, Urretavizcaya M, Pérez-Solà V, Toll A, Martínez-Ruiz A, Ferreirós-Martínez R, Pérez S, Sastre J, Álvarez P, Soria V, López-García P. Importance of immunometabolic markers for the classification of patients with major depressive disorder using machine learning. Prog Neuropsychopharmacol Biol Psychiatry 2023; 121:110674. [PMID: 36332700 DOI: 10.1016/j.pnpbp.2022.110674] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 10/14/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Although there is scientific evidence of the presence of immunometabolic alterations in major depression, not all patients present them. Recent studies point to the association between an inflammatory phenotype and certain clinical symptoms in patients with depression. The objective of our study was to classify major depression disorder patients using supervised learning algorithms or machine learning, based on immunometabolic and oxidative stress biomarkers and lifestyle habits. METHODS Taking into account a series of inflammatory and oxidative stress biomarkers (C-reactive protein (CRP), tumor necrosis factor (TNF), 4-hydroxynonenal (HNE) and glutathione), metabolic risk markers (blood pressure, waist circumference and glucose, triglyceride and cholesterol levels) and lifestyle habits of the participants (physical activity, smoking and alcohol consumption), a study was carried out using machine learning in a sample of 171 participants, 91 patients with depression (71.42% women, mean age = 50.64) and 80 healthy subjects (67.50% women, mean age = 49.12). The algorithm used was the support vector machine, performing cross validation, by which the subdivision of the sample in training (70%) and test (30%) was carried out in order to estimate the precision of the model. The prediction of belonging to the patient group (MDD patients versus control subjects), melancholic type (melancholic versus non-melancholic patients) or resistant depression group (treatment-resistant versus non-treatment-resistant) was based on the importance of each of the immunometabolic and lifestyle variables. RESULTS With the application of the algorithm, controls versus patients, such as patients with melancholic symptoms versus non-melancholic symptoms, and resistant versus non-resistant symptoms in the test phase were optimally classified. The variables that showed greater importance, according to the results of the area under the ROC curve, for the discrimination between healthy subjects and patients with depression were current alcohol consumption (AUC = 0.62), TNF-α levels (AUC = 0.61), glutathione redox status (AUC = 0.60) and the performance of both moderate (AUC = 0.59) and vigorous physical exercise (AUC = 0.58). On the other hand, the most important variables for classifying melancholic patients in relation to lifestyle habits were past (AUC = 0.65) and current (AUC = 0.60) tobacco habit, as well as walking routinely (AUC = 0.59) and in relation to immunometabolic markers were the levels of CRP (AUC = 0.62) and glucose (AUC = 0.58). In the analysis of the importance of the variables for the classification of treatment-resistant patients versus non-resistant patients, the systolic blood pressure (SBP) variable was shown to be the most relevant (AUC = 0.67). Other immunometabolic variables were also among the most important such as TNF-α (AUC = 0.65) and waist circumference (AUC = 0.64). In this case, sex (AUC = 0.59) was also relevant along with alcohol (AUC = 0.58) and tobacco (AUC = 0.56) consumption. CONCLUSIONS The results obtained in our study show that it is possible to predict the diagnosis of depression and its clinical typology from immunometabolic markers and lifestyle habits, using machine learning techniques. The use of this type of methodology could facilitate the identification of patients at risk of presenting depression and could be very useful for managing clinical heterogeneity.
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Affiliation(s)
- Yolanda Sánchez-Carro
- Department of Psychiatry, Universidad Autonoma de Madrid (UAM), Spain; Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain
| | - Alejandro de la Torre-Luque
- Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Department of Legal Medicine, Psychiatry and Pathology, Universidad Complutense de Madrid, Spain
| | - Itziar Leal-Leturia
- Department of Psychiatry, Universidad Autonoma de Madrid (UAM), Spain; Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain
| | - Neus Salvat-Pujol
- Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain; Corporació Sanitària Parc Taulí, Department of Mental Health, Sabadell, Spain
| | - Clara Massaneda
- Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain
| | - Aida de Arriba-Arnau
- Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain
| | - Mikel Urretavizcaya
- Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona (UB), Spain
| | - Victor Pérez-Solà
- Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.; Psychiatry Department, Institut de Neuropsiquiatria i Addicions, Hospital del Mar, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Alba Toll
- Psychiatry Department, Institut de Neuropsiquiatria i Addicions, Hospital del Mar, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Antonio Martínez-Ruiz
- Unidad de Investigación, Hospital Universitario Santa Cristina, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain
| | - Raquel Ferreirós-Martínez
- Service of Clinical Analysis, Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain
| | - Salvador Pérez
- Department of Physiology, Faculty of Pharmacy, University of Valencia, Spain
| | - Juan Sastre
- Department of Physiology, Faculty of Pharmacy, University of Valencia, Spain
| | - Pilar Álvarez
- Psychiatry Department, Institut de Neuropsiquiatria i Addicions, Centre Fòrum, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Virginia Soria
- Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona (UB), Spain
| | - Pilar López-García
- Department of Psychiatry, Universidad Autonoma de Madrid (UAM), Spain; Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
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Dulaglutide impedes depressive-like behavior persuaded by chronic social defeat stress model in male C57BL/6 mice: Implications on GLP-1R and cAMP/PKA signaling pathway in the hippocampus. Life Sci 2023; 320:121546. [PMID: 36878280 DOI: 10.1016/j.lfs.2023.121546] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/07/2023]
Abstract
AIM There is a well-founded relation between bullying and depression, which may eventually lead to suicidal behavior. Repurposing of antidiabetic drugs for the treatment of depression started to glow, which open new horizons to introduce the antidiabetic medications as new treatment picks in depression. Dulaglutide has been approved as remedy of type 2 diabetes mellitus (T2DM). Consequently, our scope of work is to investigate the ability of dulaglutide to indulgence depression via deeply reconnoitering the Glucagon-like peptide-1 receptor and cAMP/PKA Signaling Pathway. MATERIALS AND METHODS Eighty mice were divided into two groups; one with and the other without the induction of chronic social defeat stress (CSDS). Each group was subdivided into two subsets; the first one was treated with saline for 42 days, while the other was treated with saline for 20 days, then with dulaglutide (0.6 mg/kg/week) for four weeks. KEY FINDINGS CSDS group showed a lessening in the social interaction ratio and sucrose consumption. They spent less exploration time in the open arms, and more time in the closed arms in elevated plus maze test as compared to controls. Furthermore, the CSDS group had a higher expression of NOD- like receptor protein-3 which explained the elevation in inflammatory biomarkers (IL-1β, IL-18, IL-6 and TNF-α) along with diminution in GLP-1R, cAMP/PKA levels. Treatment with dulaglutide markedly reversed the above-mentioned parameters via bolstering the GLP-1R/cAMP/PKA pathway. SIGNIFICANCE NLRP3 inflammasome activation expedites depression. Dulaglutide activates the GLP-1R/cAMP/PKA pathway, hence offering a novel therapeutic intervention to hinder depression.
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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: 47] [Impact Index Per Article: 47.0] [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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Rondepierre F, Tauveron-Jalenques U, Valette S, Mulliez A, D’Incan M, Lauron S, Jalenques I. Psychiatric symptomatology in skin-restricted lupus patients without axis I psychiatric disorders: A post-hoc analysis. PLoS One 2023; 18:e0282079. [PMID: 36857334 PMCID: PMC9977055 DOI: 10.1371/journal.pone.0282079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/07/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Skin-restricted lupus is a chronic inflammatory disease associated with high rates of depression and anxiety disorders. Patients without psychiatric disorders can experience anxiety and depressive symptoms at a subclinical level, which could be risk factors for progression towards psychiatric disorders. It was decided, therefore, to investigate the presence of specific symptoms in skin-restricted lupus patients without axis I psychiatric disorders and their impact on the occurrence of axis I psychiatric disorders during the study follow-up. METHODS Longitudinal data of 38 patients and 76 matched controls without active axis I psychiatric disorders from the LuPsy cohort were used. Depressive, neurovegetative, psychic and somatic anxiety symptom scores were established from the Montgomery-Asberg Depression Rating Scale (MADRS) and the Hamilton Anxiety Rating scale (HAMA). RESULTS None of the participants had any current active axis I psychiatric disorders but the patients had personality disorders more frequently and had received more past psychotropic treatments than the controls. They also had higher MADRS and HAMA scores than the controls, in particular neurovegetative, psychic anxiety and somatic symptoms scores. No dermatological factor tested was associated with these scores, whereas being a lupus patient was associated with higher neurovegetative and somatic symptoms scores, having a current personality disorder with higher depressive and neurovegetative scores and receiving more past psychotropic treatments with psychic anxiety and somatic symptoms scores. The occurrence of psychiatric disorders during the study follow-up was associated with an elevated psychic anxiety score at baseline and past psychotropic treatment but not with history of psychiatric disorder. LIMITATIONS The LuPsy cohort included a large number of patients with axis I psychiatric disorders, the sample without axis I psychiatric disorders is therefore limited. CONCLUSIONS We observed numerous psychiatric symptoms among the skin-restricted lupus patients. They should therefore receive special attention in the management of their subclinical symptoms before they progress towards full psychiatric disorders.
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Affiliation(s)
- Fabien Rondepierre
- CHU Clermont-Ferrand, Service de Psychiatrie de l’Adulte A et Psychologie Médicale, Clermont-Ferrand, France
| | - Urbain Tauveron-Jalenques
- Clermont Auvergne Université, CNRS, CHU Clermont-Ferrand, Service de Psychiatrie de l’Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France
| | - Solène Valette
- Clermont Auvergne Université, CNRS, CHU Clermont-Ferrand, Service de Psychiatrie de l’Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France
| | - Aurélien Mulliez
- CHU Clermont-Ferrand, Direction de la Recherche Clinique et de l’Innovation, Clermont-Ferrand, France
| | - Michel D’Incan
- Clermont Auvergne Université, INSERM, CHU Clermont-Ferrand, Service de Dermatologie, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France
| | - Sophie Lauron
- Clermont Auvergne Université, CNRS, CHU Clermont-Ferrand, Service de Psychiatrie de l’Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France
| | - Isabelle Jalenques
- Clermont Auvergne Université, CNRS, CHU Clermont-Ferrand, Service de Psychiatrie de l’Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand, France
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Breit S, Mazza E, Poletti S, Benedetti F. White matter integrity and pro-inflammatory cytokines as predictors of antidepressant response in MDD. J Psychiatr Res 2023; 159:22-32. [PMID: 36657311 DOI: 10.1016/j.jpsychires.2022.12.009] [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: 11/30/2021] [Revised: 11/12/2022] [Accepted: 12/10/2022] [Indexed: 01/13/2023]
Abstract
Major depressive disorder (MDD) is a multifactorial, serious and heterogeneous mental disorder that can lead to chronic recurrent symptoms, treatment resistance and suicidal behavior. MDD often involves immune dysregulation with high peripheral levels of inflammatory cytokines that might have an influence on the clinical course and treatment response. Moreover, patients with MDD show brain volume changes as well as white matter (WM) alterations that are already existing in the early stage of illness. Mounting evidence suggests that both neuroimaging markers, such as WM integrity and blood markers, such as inflammatory cytokines might serve as predictors of treatment response in MDD. However, the relationship between peripheral inflammation, WM structure and antidepressant response is not yet clearly understood. The aim of the present review is to elucidate the association between inflammation and WM integrity and its impact on the pathophysiology and progression of MDD as well as the role of possible novel biomarkers of treatment response to improve MDD prevention and treatment strategies.
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Affiliation(s)
- Sigrid Breit
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
| | - Elena Mazza
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Sara Poletti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy
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Exploring Associations between C-Reactive Protein and Self-Reported Interoception in Major Depressive Disorder: A Bayesian Analysis. Brain Sci 2023; 13:brainsci13020353. [PMID: 36831896 PMCID: PMC9954036 DOI: 10.3390/brainsci13020353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Major depressive disorder (MDD) is associated with dysfunctional self-reported interoception (i.e., abnormal perception of the body's physiological state) and systemic inflammation, both of which adversely affect treatment response. In this study, we explored associations between C-reactive protein (CRP) and self-reported interoception, to gain more insight into the pathophysiology of interoceptive impairments in MDD. We also aimed to replicate previous findings on the associations of depression and fatigue severity with CRP. The study included 97 depressed individuals, who completed self-administered questionnaires (Multidimensional Assessment of Interoceptive Awareness (MAIA-2); Beck Depression Inventory-II, Multidimensional Fatigue Inventory). CRP concentrations were analyzed in the serum using a particle-enhanced turbidimetric immunoassay. We applied Bayesian inference to estimate robust effect parameters from posterior distributions based on MCMC sampling, and computed Bayes factors (BF10) as indices of relative evidence. The bivariate analysis supported evidence against associations between CRP and self-reported interoception (BF10 ≤ 0.32), except for one dimension (Not-Distracting: r = 0.11, BF10 > 0.43, absence of evidence). Positive correlations with overall depression (r = 0.21, BF10 = 3.19), physical fatigue (r = 0.28, BF10 = 20.64), and reduced activity (r = 0.22, BF10 = 4.67) were found. The multivariate analysis showed moderate evidence that low-grade inflammation predicted higher scores on the MAIA-2 Not-Worrying scale (β = 0.28, BF10 = 3.97), after controlling for relevant confounders. Inflammatory responses, as measured by CRP, may not be involved in the pathophysiology of dysfunctional self-reported interoception. However, systemic low-grade inflammation could potentially exert a protective effect against worries about pain or discomfort sensations. An immunological involvement in interoceptive impairments cannot be ruled out until future studies considering additional biomarkers of inflammation replicate our findings.
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Fries GR, Saldana VA, Finnstein J, Rein T. Molecular pathways of major depressive disorder converge on the synapse. Mol Psychiatry 2023; 28:284-297. [PMID: 36203007 PMCID: PMC9540059 DOI: 10.1038/s41380-022-01806-1] [Citation(s) in RCA: 120] [Impact Index Per Article: 120.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 09/07/2022] [Accepted: 09/14/2022] [Indexed: 01/07/2023]
Abstract
Major depressive disorder (MDD) is a psychiatric disease of still poorly understood molecular etiology. Extensive studies at different molecular levels point to a high complexity of numerous interrelated pathways as the underpinnings of depression. Major systems under consideration include monoamines, stress, neurotrophins and neurogenesis, excitatory and inhibitory neurotransmission, mitochondrial dysfunction, (epi)genetics, inflammation, the opioid system, myelination, and the gut-brain axis, among others. This review aims at illustrating how these multiple signaling pathways and systems may interact to provide a more comprehensive view of MDD's neurobiology. In particular, considering the pattern of synaptic activity as the closest physical representation of mood, emotion, and conscience we can conceptualize, each pathway or molecular system will be scrutinized for links to synaptic neurotransmission. Models of the neurobiology of MDD will be discussed as well as future actions to improve the understanding of the disease and treatment options.
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Affiliation(s)
- Gabriel R. Fries
- grid.267308.80000 0000 9206 2401Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, 1941 East Rd, Houston, TX 77054 USA ,grid.240145.60000 0001 2291 4776Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, 6767 Bertner Ave, Houston, TX 77030 USA
| | - Valeria A. Saldana
- grid.262285.90000 0000 8800 2297Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473 USA
| | - Johannes Finnstein
- grid.419548.50000 0000 9497 5095Department of Translational Research in Psychiatry, Project Group Molecular Pathways of Depression, Max Planck Institute of Psychiatry, Kraepelinstr. 10, 80804 Munich, Germany
| | - Theo Rein
- Department of Translational Research in Psychiatry, Project Group Molecular Pathways of Depression, Max Planck Institute of Psychiatry, Kraepelinstr. 10, 80804, Munich, Germany.
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Orsolini L, Pompili S, Volpe U. C-Reactive Protein (CRP): A Potent Inflammation Biomarker in Psychiatric Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1411:135-160. [PMID: 36949309 DOI: 10.1007/978-981-19-7376-5_7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
An increasing number of studies have investigated the role of inflammation in psychiatric disorders, by demonstrating how an altered/dysfunctional immunological and inflammatory system may underpin a psychiatric condition. Particularly, several studies specifically investigated the role of a neuroinflammatory biomarker, named C-reactive protein (CRP), in psychiatric disorders. Overall, even though scientific literature so far published still does not appear definitive, CRP is more likely reported to be elevated in several psychiatric disorders, including schizophrenia, mood disorders, anxiety disorders and post-traumatic stress disorder. Moreover, a low-grade inflammation (CRP >3 mg/L) has been more likely observed in a subgroup of patients affected with a more severe psychopathological symptomatology, more treatment resistance and worst clinical mental illness course, strengthening the hypothesis of the need for a different clinical and prognostic characterization based on this concomitant neuroinflammatory predisposition. However, even though further research studies are needed to confirm this preliminary evidence, CRP may represent a potential clinical routine biomarker which could be integrated in the clinical routine practice to better characterize clinical picture and course as well as address clinicians towards a personalized treatment.
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Affiliation(s)
- Laura Orsolini
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy.
| | - Simone Pompili
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, Polytechnic University of Marche, Ancona, Italy
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Ross RE, VanDerwerker CJ, Saladin ME, Gregory CM. The role of exercise in the treatment of depression: biological underpinnings and clinical outcomes. Mol Psychiatry 2023; 28:298-328. [PMID: 36253441 PMCID: PMC9969795 DOI: 10.1038/s41380-022-01819-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 09/19/2022] [Accepted: 09/26/2022] [Indexed: 01/21/2023]
Abstract
Globally, depression is a leading cause of disability and has remained so for decades. Antidepressant medications have suboptimal outcomes and are too frequently associated with side effects, highlighting the need for alternative treatment options. Although primarily known for its robust physical health benefits, exercise is increasingly recognized for its mental health and antidepressant benefits. Empirical evidence indicates that exercise is effective in treating individuals with depression; however, the mechanisms by which exercise exerts anti-depressant effects are not fully understood. Acute bouts of exercise have been shown to transiently modulate circulating levels of serotonin and norepinephrine, brain-derived neurotrophic factor, and a variety of immuno-inflammatory mechanisms in clinical cohorts with depression. However, exercise training has not been demonstrated to consistently modulate such mechanisms, and evidence linking these putative mechanisms and reductions in depression is lacking. The complexity of the biological underpinnings of depression coupled with the intricate molecular cascade induced by exercise are significant obstacles in the attempt to disentangle exercise's effects on depression. Notwithstanding our limited understanding of these effects, clinical evidence uniformly argues for the use of exercise to treat depression. Regrettably, exercise remains underutilized despite being an accessible, low-cost alternative/adjunctive intervention that can simultaneously reduce depression and improve overall health. To address the gaps in our understanding of the clinical and molecular effects of exercise on depression, we propose a model that leverages systems biology and multidisciplinary team science with a large-scale public health investment. Until the science matches the scale of complexity and burden posed by depression, our ability to advance knowledge and treatment will continue to be plagued by fragmented, irreproducible mechanistic findings and no guidelines for standards of care.
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Affiliation(s)
- Ryan E. Ross
- Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC,Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC
| | | | - Michael E. Saladin
- Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC,Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC
| | - Chris M. Gregory
- Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC,Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC
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Channer B, Matt SM, Nickoloff-Bybel EA, Pappa V, Agarwal Y, Wickman J, Gaskill PJ. Dopamine, Immunity, and Disease. Pharmacol Rev 2023; 75:62-158. [PMID: 36757901 PMCID: PMC9832385 DOI: 10.1124/pharmrev.122.000618] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 08/02/2022] [Accepted: 08/04/2022] [Indexed: 12/14/2022] Open
Abstract
The neurotransmitter dopamine is a key factor in central nervous system (CNS) function, regulating many processes including reward, movement, and cognition. Dopamine also regulates critical functions in peripheral organs, such as blood pressure, renal activity, and intestinal motility. Beyond these functions, a growing body of evidence indicates that dopamine is an important immunoregulatory factor. Most types of immune cells express dopamine receptors and other dopaminergic proteins, and many immune cells take up, produce, store, and/or release dopamine, suggesting that dopaminergic immunomodulation is important for immune function. Targeting these pathways could be a promising avenue for the treatment of inflammation and disease, but despite increasing research in this area, data on the specific effects of dopamine on many immune cells and disease processes remain inconsistent and poorly understood. Therefore, this review integrates the current knowledge of the role of dopamine in immune cell function and inflammatory signaling across systems. We also discuss the current understanding of dopaminergic regulation of immune signaling in the CNS and peripheral tissues, highlighting the role of dopaminergic immunomodulation in diseases such as Parkinson's disease, several neuropsychiatric conditions, neurologic human immunodeficiency virus, inflammatory bowel disease, rheumatoid arthritis, and others. Careful consideration is given to the influence of experimental design on results, and we note a number of areas in need of further research. Overall, this review integrates our knowledge of dopaminergic immunology at the cellular, tissue, and disease level and prompts the development of therapeutics and strategies targeted toward ameliorating disease through dopaminergic regulation of immunity. SIGNIFICANCE STATEMENT: Canonically, dopamine is recognized as a neurotransmitter involved in the regulation of movement, cognition, and reward. However, dopamine also acts as an immune modulator in the central nervous system and periphery. This review comprehensively assesses the current knowledge of dopaminergic immunomodulation and the role of dopamine in disease pathogenesis at the cellular and tissue level. This will provide broad access to this information across fields, identify areas in need of further investigation, and drive the development of dopaminergic therapeutic strategies.
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Affiliation(s)
- Breana Channer
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania (B.C., S.M.M., E.A.N-B., Y.A., J.W., P.J.G.); and The Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania (V.P.)
| | - Stephanie M Matt
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania (B.C., S.M.M., E.A.N-B., Y.A., J.W., P.J.G.); and The Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania (V.P.)
| | - Emily A Nickoloff-Bybel
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania (B.C., S.M.M., E.A.N-B., Y.A., J.W., P.J.G.); and The Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania (V.P.)
| | - Vasiliki Pappa
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania (B.C., S.M.M., E.A.N-B., Y.A., J.W., P.J.G.); and The Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania (V.P.)
| | - Yash Agarwal
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania (B.C., S.M.M., E.A.N-B., Y.A., J.W., P.J.G.); and The Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania (V.P.)
| | - Jason Wickman
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania (B.C., S.M.M., E.A.N-B., Y.A., J.W., P.J.G.); and The Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania (V.P.)
| | - Peter J Gaskill
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, Pennsylvania (B.C., S.M.M., E.A.N-B., Y.A., J.W., P.J.G.); and The Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania (V.P.)
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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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Carreon RL, Rivas-Grajales AM, Murphy N, Mathew SJ, Jha MK. Biomarkers in Psychiatric Drug Development: From Precision Medicine to Novel Therapeutics. ADVANCES IN NEUROBIOLOGY 2023; 30:287-297. [PMID: 36928855 DOI: 10.1007/978-3-031-21054-9_12] [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
Burden of psychiatric disorders is compounded by their wide prevalence as well as the limited efficacy of currently available treatments and the current approaches for prescribing these treatments. The selection of treatments continues to be subjective and often results in a trial-and-error approach. Emerging research suggests that biological markers (or biomarkers) can be used to develop precision medicine approaches for psychiatric disorders. Furthermore, the biomarkers also promise to elucidate the underlying pathophysiological mechanisms which in turn can be used to develop novel therapeutic treatments. In this chapter we have focused on mood disorders and reviewed studies on electroencephalography (EEG), magnetic resonance imaging (MRI), and blood-based biomarkers that can guide selection of one treatment versus another (treatment-selection biomarker) as well as biomarkers that can guide the development of novel therapeutics. These studies suggest that the use of objective physiological data is poised to alter the landscape of psychiatric diagnosis and treatment. However, practical and economic barriers remain as major hurdles. The key to finding such translational diagnostic and therapeutic biomarkers is a better understanding of the underlying pathophysiology, and despite the tremendous advances in neuroscience, it is clear there remains much left to be elucidated.
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Affiliation(s)
- Rudy Lozano Carreon
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- Michael E. Debakey VA Medical Center, Houston, TX, USA
| | - Ana Maria Rivas-Grajales
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Nicholas Murphy
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- The Menninger Clinic, Houston, TX, USA
| | - Sanjay J Mathew
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- Michael E. Debakey VA Medical Center, Houston, TX, USA
- The Menninger Clinic, Houston, TX, USA
| | - Manish K Jha
- Center for Depression Research and Clinical Care, O'Donnell Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA.
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Rice Germ Ameliorated Chronic Unpredictable Mild Stress-Induced Depressive-like Behavior by Reducing Neuroinflammation. Nutrients 2022; 14:nu14245382. [PMID: 36558541 PMCID: PMC9780988 DOI: 10.3390/nu14245382] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/02/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Stress-induced neuroinflammation is widely regarded as one of the primary causes of depression. Gamma-aminobutyric acid (GABA)-enriched foods relieve stress and reduce inflammatory reactions. This study aimed to evaluate whether rice germ with 30% GABA (RG) reduced neuroinflammation in mice exposed to chronic unpredictable mild stress (CUMS). CUMS mice were administered 40, 90, and 140 mg/kg of RG. CUMS increased serum and hypothalamic pro-inflammatory cytokine (TNF-α and IL-6) levels, which were decreased by RG. In the hypothalamus, CUMS elevated M1-type microglia markers of CD86 and NF-κB, whereas RG lowered these levels. The expression levels of NLRP3 inflammasome complex (NLRP3, apoptosis-associated speck-like protein containing a caspase recruitment domain, and caspase-1), IL-1β, and IL-18 were increased in the hypothalamus of CUMS mice and decreased by RG. RG attenuated depressive-like behaviors in CUMS mice, as measured by the forced swim test and tail suspension test. In conclusion, RG decreased hypothalamic inflammation-related signals, such as TNF-α, IL-6, M1 polarization, NF-κB, NLRP3 inflammasome complex, caspase-1, IL-1β, and IL-18, to diminish depressive-like behavior.
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Li L, Zhang Q, Zhu L, Zeng G, Huang H, Zhuge J, Kuang X, Yang S, Yang D, Chen Z, Gan Y, Lu Z, Wu C. Daytime naps and depression risk: A meta-analysis of observational studies. Front Psychol 2022; 13:1051128. [PMID: 36591028 PMCID: PMC9798209 DOI: 10.3389/fpsyg.2022.1051128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/18/2022] [Indexed: 12/23/2022] Open
Abstract
Background The relationship between daytime napping and depression remains debatable. Thus, a meta-analysis in this study was conducted to evaluate the relationship between daytime napping and depression. Methods The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched up to February 2022, and the reference lists of the included studies were also retrieved. A random-effects model was used to estimate the combined effect size. Results Nine studies with 649,111 participants were included in the final analysis. The pooled odds ratio (OR) was 1.15 (95% confidence interval: 1.01-1.31) with a significant heterogeneity (I 2 = 91.3%, P for heterogeneity <0.001), and the results demonstrated an increased risk of depressive symptoms among daytime nappers. Visual inspection of the funnel plot and Egger's and Begg's tests identified no obvious evidence of publication bias. Conclusion This meta-analysis indicates that daytime naps are a predictor of depression. The effects of daytime napping on depression may vary depending on the characteristics of people, the pattern of naps, and the individual's sleep experience. The findings may have significant implications for future research on depression.
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Affiliation(s)
- Liqing Li
- Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China,School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qi Zhang
- Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China
| | - Liyong Zhu
- Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China
| | - Guohua Zeng
- School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China
| | - Hongwei Huang
- Department of Health Management Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jian Zhuge
- Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China
| | - Xiaorui Kuang
- Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China
| | - Sule Yang
- Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China
| | - Di Yang
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China
| | - Zhensheng Chen
- Research Center of Health Policy and Innovation, Jiangxi Science and Technology Normal University, Nanchang, Jiangxi, China
| | - Yong Gan
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zuxun Lu
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chunmei Wu
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, China,*Correspondence: Chunmei Wu
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Interleukin-8 and depressive responses to an inflammatory challenge: secondary analysis of a randomized controlled trial. Sci Rep 2022; 12:12627. [PMID: 35871638 PMCID: PMC9309160 DOI: 10.1038/s41598-022-16364-3] [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: 11/01/2021] [Accepted: 07/08/2022] [Indexed: 11/09/2022] Open
Abstract
Emerging evidence suggests that interleukin (IL)-8 has a protective role in the context of depression. Higher levels of IL-8 are associated with lower depressive symptom severity among depressed patients, and treatment-related increases in IL-8 correlate with a positive response in depressed patients. This study (a secondary analysis of a completed randomized controlled trial) aimed to examine whether higher levels of IL-8 mitigate increases in depressed mood in response to an experimental model of inflammation induced depression. Given epidemiologic relationships identified between IL-6, tumor necrosis factor (TNF)- α, and subsequent depression, levels of these pro-inflammatory cytokines were also explored as potential moderators of depressed mood response to endotoxin. Secondary analyses were completed on data from healthy adults (n = 114) who completed a double-blind, placebo-controlled randomized trial in which participants were randomly assigned to receive either a single infusion of low-dose endotoxin (derived from Escherichia coli; 0.8 ng/kg of body weight) or placebo (same volume of 0.9% saline). IL-8, as well as IL-6 and TNF- α, were measured at baseline prior to infusion, and depressed mood and feelings of social disconnection were assessed approximately hourly. Baseline levels of IL-8, but not IL-6 or TNF-α, moderated depressed mood (β = − 0.274, p = .03) and feelings of social disconnection (β = − 0.307, p = .01) responses, such that higher baseline IL-8 was associated with less increase in depressed mood and feelings of social disconnection in the endotoxin, but not placebo, condition. IL-8 had threshold effects, in which highest quartile IL-8 (≥ 2.7 pg/mL) attenuated increases in depressed mood in response to endotoxin as compared to lower IL-8 quartiles (p = .02). These findings suggest that IL-8 may be a biological factor that mitigates risk of inflammation-associated depression.
Clinical trials registration: ClinicalTrials.gov NCT01671150, registration date 23/08/2012.
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Kou Y, Li Z, Yang T, Shen X, Wang X, Li H, Zhou K, Li L, Xia Z, Zheng X, Zhao Y. Therapeutic potential of plant iridoids in depression: a review. PHARMACEUTICAL BIOLOGY 2022; 60:2167-2181. [PMID: 36300881 PMCID: PMC9621214 DOI: 10.1080/13880209.2022.2136206] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/23/2022] [Accepted: 09/25/2022] [Indexed: 05/29/2023]
Abstract
CONTEXT Depression is a mental disorder characterized by low mood, reduced interest, impaired cognitive function, and vegetative symptoms such as sleep disturbances or poor appetite. Iridoids are the active constituents in several Chinese classical antidepressant formulae such as Yueju Pill, Zhi-Zi-Hou-Po Decoction, Zhi-Zi-Chi Decoction, and Baihe Dihuang Decoction. Parallel to their wide usages, iridoids are considered potential lead compounds for the treatment of neurological diseases. OBJECTIVE The review summarizes the therapeutic potential and molecular mechanisms of iridoids in the prevention or treatment of depression and contributes to identifying research gaps in iridoids as potential antidepressant medication. METHODS The following key phrases were sought in PubMed, Google Scholar, Web of Science, and China National Knowledge Internet (CNKI) without time limitation to search all relevant articles with in vivo or in vitro experimental studies as comprehensively as possible: ('iridoid' or 'seciridoid' or 'depression'). This review extracted the experimental data on the therapeutic potential and molecular mechanism of plant-derived iridoids for depression. RESULTS Plant iridoids (i.e., catalpol, geniposide, loganin), and secoiridoids (i.e., morroniside, gentiopicroside, oleuropein, swertiamarin), all showed significant improvement effects on depression. DISCUSSION AND CONCLUSIONS Iridoids exert antidepressant effects by elevating monoamine neurotransmitters, reducing pro-inflammatory factors, inhibiting hypothalamic-pituitary-adrenal (HPA) axis hyperactivity, increasing brain-derived neurotrophic factor (BDNF) and its receptors, and elevating intestinal microbial abundance. Further detailed studies on the pharmacokinetics, bioavailability, and key molecular targets of iridoids are also required in future research, ultimately to provide improvements to current antidepressant medications.
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Affiliation(s)
- Yaoyao Kou
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
| | - Zhihao Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an, PR China
| | - Tong Yang
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
| | - Xue Shen
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
| | - Xin Wang
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
| | - Haopeng Li
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
| | - Kun Zhou
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
| | - Luyao Li
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
| | - Zhaodi Xia
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an, PR China
| | - Xiaohui Zheng
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, Northwest University, Xi’an, PR China
| | - Ye Zhao
- Three level Scientific Research Laboratory of National Administration of Traditional Chinese Medicine, Northwest University, Xi’an, PR China
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Zheng Y, Zhang L, He S, Xie Z, Zhang J, Ge C, Sun G, Huang J, Li H. Integrated Module of Multidimensional Omics for Peripheral Biomarkers (iMORE) in patients with major depressive disorder: rationale and design of a prospective multicentre cohort study. BMJ Open 2022; 12:e067447. [PMID: 36418119 PMCID: PMC9685190 DOI: 10.1136/bmjopen-2022-067447] [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] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Major depressive disorder (MDD) represents a worldwide burden on healthcare and the response to antidepressants remains limited. Systems biology approaches have been used to explore the precision therapy. However, no reliable biomarker clinically exists for prognostic prediction at present. The objectives of the Integrated Module of Multidimensional Omics for Peripheral Biomarkers (iMORE) study are to predict the efficacy of antidepressants by integrating multidimensional omics and performing validation in a real-world setting. As secondary aims, a series of potential biomarkers are explored for biological subtypes. METHODS AND ANALYSIS iMore is an observational cohort study in patients with MDD with a multistage design in China. The study is performed by three mental health centres comprising an observation phase and a validation phase. A total of 200 patients with MDD and 100 healthy controls were enrolled. The protocol-specified antidepressants are selective serotonin reuptake inhibitors and serotonin-norepinephrine reuptake inhibitors. Clinical visits (baseline, 4 and 8 weeks) include psychiatric rating scales for symptom assessment and biospecimen collection for multiomics analysis. Participants are divided into responders and non-responders based on treatment response (>50% reduction in Montgomery-Asberg Depression Rating Scale). Antidepressants' responses are predicted and biomarkers are explored using supervised learning approach by integration of metabolites, cytokines, gut microbiomes and immunophenotypic cells. The accuracy of the prediction models constructed is verified in an independent validation phase. ETHICS AND DISSEMINATION The study was approved by the ethics committee of Shanghai Mental Health Center (approval number 2020-87). All participants need to sign a written consent for the study entry. Study findings will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04518592.
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Affiliation(s)
- Yuzhen Zheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Linna Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shen He
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zuoquan Xie
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Jing Zhang
- Shanghai Green Valley Pharmaceutical Co Ltd, Shanghai, China
| | - Changrong Ge
- Shanghai Green Valley Pharmaceutical Co Ltd, Shanghai, China
| | - Guangqiang Sun
- Shanghai Green Valley Pharmaceutical Co Ltd, Shanghai, China
| | - Jingjing Huang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Clinical Research Center for Mental Health, Shanghai Mental Health Center, Shanghai, China
| | - Huafang Li
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Clinical Research Center for Mental Health, Shanghai Mental Health Center, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Rashidian H, Subramaniapillai M, Park C, Lipsitz O, Zuckerman H, Cao B, Lee Y, Gill H, Rodrigues RN, Di Vincenzo JD, Iacobucci M, Jaberi S, Rosenblat JD, McIntyre RS, Mansur RB. Changes in insulin resistance following antidepressant treatment mediate response in major depressive disorder. J Psychopharmacol 2022; 37:313-317. [PMID: 36377525 PMCID: PMC10076336 DOI: 10.1177/02698811221132473] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Insulin resistance (IR) is a potential predictor of antidepressant treatment response. AIMS We assess changes in IR after antidepressant treatment and whether these changes have any effect on treatment response. Also, to see whether changes in IR mediates relationship between C-reactive protein (CRP) and antidepressant efficacy. METHODS This is a secondary analysis of an 8-week, open-label clinical trial with 95 adults experiencing a major depressive episode. Response to vortioxetine was measured using the Montgomery-Åsberg Depression Rating Scale (MADRS). Generalized estimating equation models were utilized for this intent-to-treat analysis. RESULTS When adjusted for age, sex, and body mass index, there was a significant increase in IR following treatment in the overall sample (p = 0.035). This finding was detected in treatment non-responders (p = 0.019), whereas it was not observed in responders (p = 0.329). Mediation analysis revealed that change in IR during treatment was responsible for change in MADRS as well as the relationship between baseline CRP and treatment response. CONCLUSIONS Exacerbation of IR during antidepressant treatment mediated non-response. Conversely in treatment responders IR reduced. Like previous studies, baseline CRP moderated treatment response. This relationship was also mediated by changes in IR. These findings further elucidate the role of IR in terms of antidepressant response as well as potentially explain inflammation's relationship with the latter.
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Affiliation(s)
- Houman Rashidian
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario
| | | | - Caroline Park
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Orly Lipsitz
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Hannah Zuckerman
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Bing Cao
- School of Psychology and Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Yena Lee
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Institute of Medical Science, University of Toronto, Toronto, Ontario
| | - Hartej Gill
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | | | - Joshua D Di Vincenzo
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Pharmacology, University of Toronto, Toronto, Ontario
| | - Michelle Iacobucci
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Saja Jaberi
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario.,Institute of Medical Science, University of Toronto, Toronto, Ontario.,Department of Pharmacology, University of Toronto, Toronto, Ontario.,Brain and Cognition Discovery Foundation, Toronto, Ontario
| | - Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario
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Smiley CE, Wood SK. Stress- and drug-induced neuroimmune signaling as a therapeutic target for comorbid anxiety and substance use disorders. Pharmacol Ther 2022; 239:108212. [PMID: 35580690 DOI: 10.1016/j.pharmthera.2022.108212] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/10/2022] [Accepted: 05/10/2022] [Indexed: 10/18/2022]
Abstract
Stress and substance use disorders remain two of the most highly prevalent psychiatric conditions and are often comorbid. While individually these conditions have a debilitating impact on the patient and a high cost to society, the symptomology and treatment outcomes are further exacerbated when they occur together. As such, there are few effective treatment options for these patients, and recent investigation has sought to determine the neural processes underlying the co-occurrence of these disorders to identify novel treatment targets. One such mechanism that has been linked to stress- and addiction-related conditions is neuroimmune signaling. Increases in inflammatory factors across the brain have been heavily implicated in the etiology of these disorders, and this review seeks to determine the nature of this relationship. According to the "dual-hit" hypothesis, also referred to as neuroimmune priming, prior exposure to either stress or drugs of abuse can sensitize the neuroimmune system to be hyperresponsive when exposed to these insults in the future. This review completes an examination of the literature surrounding stress-induced increases in inflammation across clinical and preclinical studies along with a summarization of the evidence regarding drug-induced alterations in inflammatory factors. These changes in neuroimmune profiles are also discussed within the context of their impact on the neural circuitry responsible for stress responsiveness and addictive behaviors. Further, this review explores the connection between neuroimmune signaling and susceptibility to these conditions and highlights the anti-inflammatory pharmacotherapies that may be used for the treatment of stress and substance use disorders.
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Affiliation(s)
- Cora E Smiley
- Department of Pharmacology, Physiology, and Neuroscience; University of South Carolina School of Medicine, Columbia, SC 29209, United States of America; WJB Dorn Veterans Administration Medical Center, Columbia, SC 29209, United States of America.
| | - Susan K Wood
- Department of Pharmacology, Physiology, and Neuroscience; University of South Carolina School of Medicine, Columbia, SC 29209, United States of America; WJB Dorn Veterans Administration Medical Center, Columbia, SC 29209, United States of America.
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Costa R, Fatourou E, Hoppensteadt D, Fareed J, Halaris A. Cardiolipin Antibody: A Potential Biomarker for Depression. J Pers Med 2022; 12:jpm12111759. [PMID: 36573728 PMCID: PMC9697829 DOI: 10.3390/jpm12111759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/11/2022] [Accepted: 10/19/2022] [Indexed: 02/01/2023] Open
Abstract
Background: Inflammation plays a pivotal role in the etiopathology of Major Depressive Disorder (MDD), at least in a subset of patients. It is crucial to first establish which specific inflammatory biomarkers are of clinical utility. Anti-cardiolipin antibody (aCL IgM) is an inflammatory marker that has the potential to be such a candidate but there are insufficient studies to confirm this potential. Objective: To investigate the baseline titer level and the longitudinal progression of plasma titers of aCL IgM in MDD subjects receiving antidepressant therapy in comparison to healthy control (HC) subjects; to determine if changes in aCL IgM plasma titers correlate to changes in depressive symptoms; and, to ascertain if baseline aCL IgM plasma titers could predict treatment response. Methods: Forty-eight medically healthy outpatients diagnosed with MDD were enrolled in one of two groups in two sequentially conducted clinical trials. In Group-E, patients received a 12-week regimen of escitalopram (n = 20). Those in Group-Q received a 12-week regimen of quetiapine (n = 28). The main outcome measure was plasma aCL IgM titers, the Hamilton Rating Scale for Depression (HAM-D17) and the Hamilton Rating Scale for Anxiety (HAM-A). There were 16 HC subjects. Results: When Group-Q and Group-E participants were grouped together (n = 48), MDD subjects had an elevated baseline aCL IgM (19.9 μg/mL) compared to HC subjects (8.32 μg/mL) (p = 0.006). aCL IgM correlated significantly with HAM-D17 scores at baseline in MDD subjects (p = 0.0185, r = 0.296). Examining the individual groups, Group-Q MDD patients had a significantly elevated baseline aCL IgM (p = 0.008) while Group-E's MDD patients did not. On the other hand, only Group-E MDD patients showed a significant correlation at baseline between aCL IgM and HAM-A score (p = 0.0392, r = 0.4327); they also showed a significant inverse correlation between week 12 HAMD-17 Item #10 (Anxiety, Psychic) and week 12 aCL IgM titer (p = 0.0268, r = -0.5516). Conclusions: MDD patients had significantly higher plasma titers of aCL IgM when compared to HC subjects. Moreover, at baseline, the higher the aCL IgM titer, the higher the depression severity, as measured by HAMD-17 score. However, this study did not demonstrate that aCL IgM titers changed significantly throughout a 12-week course of antidepressant treatment and revealed no correlation between changes in depressive symptoms and changes in aCL IgM titers. Baseline aCL IgM could not predict treatment response. We conclude that, despite lacking predictive ability as regards treatment response, plasma titers of aCL IgM have a diagnostic potential in MDD that necessitates further exploration.
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Affiliation(s)
- Renzo Costa
- Department of Psychiatry and Behavioral Neurosciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA
| | - Evangelia Fatourou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai/Elmhurst Hospital Center, New York, NY 10029, USA
| | - Debra Hoppensteadt
- Department of Pathology, Laboratory Medicine, Loyola University Medical Center, Maywood, IL 60153, USA
| | - Jawed Fareed
- Department of Pathology, Laboratory Medicine, Loyola University Medical Center, Maywood, IL 60153, USA
| | - Angelos Halaris
- Department of Psychiatry and Behavioral Neurosciences, Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA
- Correspondence:
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Goldberg JF. Perspectives on the success rate of current antidepressant pharmacotherapy. Expert Opin Pharmacother 2022; 23:1781-1791. [PMID: 36259350 DOI: 10.1080/14656566.2022.2138333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION There has been growing debate about the effectiveness of traditional antidepressants for the treatment of depression, and whether the clinical trials literature overstates the value of existing agents. Antidepressant efficacy is limited by suboptimal remission rates, lack of robust efficacy across diverse depressed subgroups, slow onset, and challenges managing tolerability. Clinicians can better navigate uncertainties in this area by recognizing patient-specific clinical and prognostic factors that influence the likelihood of antidepressant drug response. AREAS COVERED The author summarizes pertinent literature regarding drug-placebo differences in antidepressant outcome as well as patient-specific factors that influence antidepressant drug responsivity across subtypes of depressive disorders. EXPERT OPINION Standardized effect sizes for most monoaminergic antidepressants are relatively modest. At least one-third of treatment response derives from nonspecific (yet substantial) placebo effects, limiting the ability to compare antidepressant medication effects to that of "no treatment." Patients with high baseline depressive symptom severity are less likely to respond to placebo but may be more responsive to antidepressant pharmacotherapy than is the case in mild forms of depression. Patient satisfaction with antidepressant response must take into consideration not only efficacy for reducing symptoms but also drug tolerability/acceptability and tangible improvement in functional outcome and quality of life.
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Affiliation(s)
- Joseph F Goldberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
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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: 17] [Impact Index Per Article: 8.5] [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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