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Barreiros AR, Breukelaar IA, Prentice A, Mayur P, Tomimatsu Y, Funayama K, Foster S, Malhi GS, Arns M, Harris A, Korgaonkar MS. Intra- and Inter-Network connectivity of the default mode network differentiates Treatment-Resistant depression from Treatment-Sensitive depression. Neuroimage Clin 2024; 43:103656. [PMID: 39180979 PMCID: PMC11387369 DOI: 10.1016/j.nicl.2024.103656] [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: 04/22/2024] [Revised: 08/13/2024] [Accepted: 08/13/2024] [Indexed: 08/27/2024]
Abstract
Understanding why some patients with depression remain resistant to antidepressant medication could be elucidated by investigating their associated neural features. Although research has consistently demonstrated abnormalities in the anterior cingulate cortex (ACC) - a region that is part of the default mode network (DMN) - in treatment-resistant depression (TRD), a considerable research gap exists in discerning how these neural networks distinguish TRD from treatment-sensitive depression (TSD). We aimed to evaluate the resting-state functional connectivity (rsFC) of the ACC with other regions of the DMN to better understand the role of this structure in the pathophysiology of TRD. 35 TRD patients, 35 TSD patients, and 38 healthy controls (HC) underwent a resting-state functional MRI protocol. Seed-based functional connectivity analyses were performed, comparing the three groups for the connectivity between two subregions of the ACC (the subgenual ACC (sgACC) and the rostral ACC (rACC)) and the DMN (p < 0.05 FWE corrected). Furthermore, inter-network connectivity of the DMN with other neural networks was explored by independent component (ICA) analyses (p < 0.01, FDR corrected). The results demonstrated hyperconnectivity between the rACC and the posterior cingulate cortex in TRD relative to TSD and HC (F(2,105) = 5.335, p < 0.05). ICA found DMN connectivity to regions of the visual network (TRDTSD), differentiating the two clinical groups. These results provide confirmatory evidence of DMN hyperconnectivity and preliminary evidence for its interactions with other neural networks as key neural mechanisms underlying treatment non-responsiveness.
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Affiliation(s)
- Ana Rita Barreiros
- Brain Dynamics Centre, Westmead Institute for Medical Research, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; The Black Dog Institute, Sydney, Australia.
| | | | - Amourie Prentice
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht Universtiy, Maastricht, the Netherlands; Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands; Synaeda Psycho Medisch Centrum, Leeuwarden, the Netherlands
| | - Prashanth Mayur
- Mood Disorders Unit, Cumberland Hospital, Western Sydney Local Health District, Parramatta, Australia
| | | | - Kenta Funayama
- Research, Takeda Pharmaceutical Company Ltd., Kanagawa, Japan
| | - Sheryl Foster
- Department of Radiology, Westmead Hospital, Westmead, NSW, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW Australia
| | - Gin S Malhi
- Academic Department of Psychiatry, Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; CADE Clinic and Mood-T, Royal North Shore Hospital, Northern Sydney Local Health District, St. Leonards, Australia
| | - Martijn Arns
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht Universtiy, Maastricht, the Netherlands; Research Institute Brainclinics, Brainclinics Foundation, Nijmegen, the Netherlands
| | - Anthony Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia; Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, Sydney, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW Australia
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Henry JA, Thielman EJ, Zaugg T, Griest S, Stewart BJ. Assessing Meaningful Improvement: Focus on the Tinnitus Functional Index. Ear Hear 2024; 45:537-549. [PMID: 38351518 DOI: 10.1097/aud.0000000000001456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Many studies have attempted to determine methodology for interpreting change on outcome instruments that result from an intervention. The objective of these studies has been to devise methods to identify the minimal level of change that would be consistent with actual benefit perceived by the patient, and not just statistically significant change. With respect to intervention for bothersome tinnitus, the authors of the original study to develop and validate the Tinnitus Functional Index (TFI) suggested that a minimum 13-point reduction in the TFI score was likely to reflect a change perceived as meaningful to an individual. The 13-point estimation of meaningful change for an individual is appropriate for use with any adult seeking care for tinnitus. However, it cannot be relied upon in isolation to determine if an individual believes that there has been a noticeable, or meaningful improvement in their quality of life. It is important to use subjective impressions elicited from the patient to assist in interpreting the meaning of TFI data for an individual. For clinicians engaging in care for tinnitus, we recommend using the TFI and pairing it with the patient's belief/impression as to whether they are doing better than they were before care for tinnitus was provided. Ideally, the outcome assessment would be conducted by someone other than the clinician who provided the intervention.
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Affiliation(s)
- J A Henry
- Veterans Affairs Rehabilitation Research and Development, National Center for Rehabilitative Auditory Research, Veterans Affairs Portland Health Care System, Portland, Oregon, USA
- Department of Otolaryngology-Head & Neck Surgery, Oregon Health & Science University, Portland, Oregon, USA
| | - E J Thielman
- Veterans Affairs Rehabilitation Research and Development, National Center for Rehabilitative Auditory Research, Veterans Affairs Portland Health Care System, Portland, Oregon, USA
| | - T Zaugg
- Veterans Affairs Rehabilitation Research and Development, National Center for Rehabilitative Auditory Research, Veterans Affairs Portland Health Care System, Portland, Oregon, USA
| | - S Griest
- Veterans Affairs Rehabilitation Research and Development, National Center for Rehabilitative Auditory Research, Veterans Affairs Portland Health Care System, Portland, Oregon, USA
| | - B J Stewart
- School of Nursing, Oregon Health & Science University, Portland, Oregon, USA
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Tanguay-Sela M, Rollins C, Perez T, Qiang V, Golden G, Tunteng JF, Perlman K, Simard J, Benrimoh D, Margolese HC. A systematic meta-review of patient-level predictors of psychological therapy outcome in major depressive disorder. J Affect Disord 2022; 317:307-318. [PMID: 36029877 DOI: 10.1016/j.jad.2022.08.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 08/16/2022] [Accepted: 08/19/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Psychological therapies are effective for treating major depressive disorder, but current clinical guidelines do not provide guidance on the personalization of treatment choice. Established predictors of psychotherapy treatment response could help inform machine learning models aimed at predicting individual patient responses to different therapy options. Here we sought to comprehensively identify known predictors. METHODS EMBASE, Medline, PubMed, PsycINFO were searched for systematic reviews with or without meta-analysis published until June 2020 to identify individual patient-level predictors of response to psychological treatments. 3113 abstracts were identified and 300 articles assessed. We qualitatively synthesized our findings by predictor category (sociodemographic; symptom profile; social support; personality features; affective, cognitive, and behavioural; comorbidities; neuroimaging; genetics) and treatment type. We used the AMSTAR 2 to evaluate the quality of included reviews. RESULTS Following screening and full-text assessment, 27 systematic reviews including 12 meta-analyses were eligible for inclusion. 74 predictors emerged for various psychological treatments, primarily cognitive behavioural therapy, interpersonal therapy, and mindfulness-based cognitive therapy. LIMITATIONS A paucity of studies examining predictors of psychological treatment outcome, as well as methodological heterogeneities and publication biases limit the strength of the identified predictors. CONCLUSIONS The synthesized predictors could be used to supplement clinical decision-making in selecting psychological therapies based on individual patient characteristics. These predictors could also be used as a priori input features for machine learning models aimed at predicting a given patient's likelihood of response to different treatment options for depression, and may contribute toward the development of patient-specific treatment recommendations in clinical guidelines.
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Affiliation(s)
| | | | | | | | | | | | | | - Jade Simard
- Université du Québec à Montréal, Montreal, Quebec, Canada
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Barreiros AR, Breukelaar I, Mayur P, Andepalli J, Tomimatsu Y, Funayama K, Foster S, Boyce P, Malhi GS, Harris A, Korgaonkar MS. Abnormal habenula functional connectivity characterizes treatment-resistant depression. Neuroimage Clin 2022; 34:102990. [PMID: 35305499 PMCID: PMC8933564 DOI: 10.1016/j.nicl.2022.102990] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/10/2022] [Accepted: 03/14/2022] [Indexed: 11/23/2022]
Abstract
Habenular hyper connectivity characterizes treatment-resistant depression. An interplay between reward and default mode networks is linked to suicidality. Abnormal habenula connectivity is a possible mechanism for anhedonia.
Background A significant proportion of patients with major depressive disorder are resistant to antidepressant medication and psychological treatments. A core symptom of treatment-resistant depression (TRD) is anhedonia, or the inability to feel pleasure, which has been attributed to disrupted habenula function – a component of the reward network. This study aimed to map detailed neural circuitry architecture related to the habenula to identify neural mechanisms of TRD. Methods 35 TRD patients, 35 patients with treatment-sensitive depression (TSD), and 38 healthy controls (HC) underwent resting-state functional magnetic resonance imaging. Functional connectivity analyses were performed using the left and right habenula as seed regions of interest, and the three groups were compared using whole-brain voxel-wise comparisons. Results The TRD group demonstrated hyperconnectivity of the left habenula to the left precuneus cortex and the right precentral gyrus, compared to the TSD group, and to the right precuneus cortex, compared to the TSD and HC groups. In contrast, TSD demonstrated hypoconnectivity than HC for both connectivity measures. These connectivity values were significantly higher in patients with a history of suicidal ideation. Conclusions This study provides evidence that, unlike TSD, TRD is characterized by hyperconnectivity of the left habenula particularly with regions of the default mode network. An increased interplay between reward and default mode networks is linked to suicidality and could be a possible mechanism for anhedonia in hard to treat depression.
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Affiliation(s)
- Ana Rita Barreiros
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia.
| | - Isabella Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; School of Psychology, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
| | - Prashanth Mayur
- Mood Disorders Unit, Cumberland Hospital, Western Sydney Local Health District, Parramatta, NSW, Australia
| | - Jagadeesh Andepalli
- Mood Disorders Unit, Cumberland Hospital, Western Sydney Local Health District, Parramatta, NSW, Australia
| | | | - Kenta Funayama
- Research, Takeda Pharmaceutical Company Ltd., Kanagawa, Japan
| | - Sheryl Foster
- Department of Radiology, Westmead Hospital, Westmead, NSW, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Philip Boyce
- Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Gin S Malhi
- Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia; CADE Clinic, Department of Psychiatry, Royal North Shore Hospital, Sydney, NSW, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Anthony Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Specialty of Psychiatry, Sydney Medical School, The University of Sydney, Sydney, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, Australia; Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
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Zhdanava M, Karkare S, Pilon D, Joshi K, Rossi C, Morrison L, Sheehan J, Lefebvre P, Lopena O, Citrome L. Prevalence of Pre-existing Conditions Relevant for Adverse Events and Potential Drug-Drug Interactions Associated with Augmentation Therapies Among Patients with Treatment-Resistant Depression. Adv Ther 2021; 38:4900-4916. [PMID: 34368919 PMCID: PMC8408057 DOI: 10.1007/s12325-021-01862-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 07/13/2021] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Pre-existing conditions relevant for adverse events (AE) and the potential for drug-drug interactions (DDIs) may limit safe pharmacotherapeutic augmentation options for patients with major depressive disorder (MDD). This concern may be heightened among patients with treatment-resistant depression (TRD), who often have comorbid medical disorders. METHODS Adults with MDD and ≥ 1 antidepressant claim within the first observed major depressive episode were identified in the MarketScan® Databases. Those initiating a new regimen after two regimens at adequate dose and duration were considered to have TRD. The index date was defined at TRD onset or on a random antidepressant claim among patients with non-TRD MDD. Pre-existing conditions 12 months pre-index and potential DDIs 3 months pre/post-index associated with specific non-antidepressant augmentation therapies, including atypical antipsychotics (APs), buspirone, psychostimulants, anticonvulsants, thyroid hormone, and lithium were compared between 1:1 matched TRD and non-TRD MDD cohorts. RESULTS Overall, 3414 patients with TRD and non-TRD MDD (mean age 39.7 years, 69% female) were matched. Relative to non-TRD MDD, patients with TRD had 33% higher likelihood of ≥ 1 pre-existing condition relevant for AEs listed in product labels of non-antidepressant augmentation therapies (p < 0.001). Patients with TRD vs. non-TRD MDD had 12.9 and 6.4 times higher likelihood of ≥ 2 and ≥ 3 DDIs, respectively, based on their medication regimen (all p < 0.001). CONCLUSION Pre-existing conditions relevant for listed AEs and potential DDIs limit safe augmentation options in MDD, particularly among patients with TRD. Payer prior authorization policies requiring several augmentation therapy trials to access novel treatments may complicate clinical management of this population.
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Affiliation(s)
- Maryia Zhdanava
- Analysis Group, Inc, 1190 avenue des Canadiens-de-Montréal, Deloitte Tower, Suite 1500, Montreal, QC, H3B 0G7, Canada.
| | - Swapna Karkare
- Real-World Value and Evidence, Janssen Scientific Affairs, LLC, Titusville, NJ, USA
| | - Dominic Pilon
- Analysis Group, Inc, 1190 avenue des Canadiens-de-Montréal, Deloitte Tower, Suite 1500, Montreal, QC, H3B 0G7, Canada
| | - Kruti Joshi
- Real-World Value and Evidence, Janssen Scientific Affairs, LLC, Titusville, NJ, USA
| | - Carmine Rossi
- Analysis Group, Inc, 1190 avenue des Canadiens-de-Montréal, Deloitte Tower, Suite 1500, Montreal, QC, H3B 0G7, Canada
| | - Laura Morrison
- Analysis Group, Inc, 1190 avenue des Canadiens-de-Montréal, Deloitte Tower, Suite 1500, Montreal, QC, H3B 0G7, Canada
| | - John Sheehan
- Real-World Value and Evidence, Janssen Scientific Affairs, LLC, Titusville, NJ, USA
| | - Patrick Lefebvre
- Analysis Group, Inc, 1190 avenue des Canadiens-de-Montréal, Deloitte Tower, Suite 1500, Montreal, QC, H3B 0G7, Canada
| | - Oliver Lopena
- Real-World Value and Evidence, Janssen Scientific Affairs, LLC, Titusville, NJ, USA
| | - Leslie Citrome
- Department of Psychiatry and Behavioral Sciences, New York Medical College, Valhalla, NY, USA
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Taylor RW, Coleman JRI, Lawrence AJ, Strawbridge R, Zahn R, Cleare AJ. Predicting clinical outcome to specialist multimodal inpatient treatment in patients with treatment resistant depression. J Affect Disord 2021; 291:188-197. [PMID: 34044338 DOI: 10.1016/j.jad.2021.04.074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 03/09/2021] [Accepted: 04/23/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Treatment resistant depression (TRD) poses a significant clinical challenge, despite a range of efficacious specialist treatments. Accurately predicting response a priori may help to alleviate the burden of TRD. This study sought to determine whether outcome prediction can be achieved in a specialist inpatient setting. METHODS Patients at the Affective Disorders Unit of the Bethlam Royal Hospital, with current depression and established TRD were included (N = 174). Patients were treated with an individualised combination of pharmacotherapy and specialist psychological therapies. Predictors included clinical and sociodemographic characteristics, and polygenic risk scores for depression and related traits. Logistic regression models examined associations with outcome, and predictive potential was assessed using elastic net regularised logistic regressions with 10-fold nested cross-validation. RESULTS 47% of patients responded (50% reduction in HAMD-21 score at discharge). Age at onset and number of depressive episodes were positively associated with response, while degree of resistance was negatively associated. All elastic net models had poor performance (AUC<0.6). Illness history characteristics were commonly retained, and the addition of genetic risk scores did not improve performance. LIMITATIONS The patient sample was heterogeneous and received a variety of treatments. Some variable associations may be non-linear and therefore not captured. CONCLUSIONS This treatment may be most effective for recurrent patients and those with a later age of onset, while patients more severely treatment resistant at admission remain amongst the most difficult to treat. Individual level prediction remains elusive for this complex group. The assessment of homogenous subgroups should be one focus of future investigations.
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Affiliation(s)
- Rachael W Taylor
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom.
| | - Jonathan R I Coleman
- National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Andrew J Lawrence
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Rebecca Strawbridge
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, United Kingdom; National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Roland Zahn
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, United Kingdom; South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Anthony J Cleare
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, United Kingdom; South London and Maudsley NHS Foundation Trust, London, United Kingdom
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Day E, Shah R, Taylor RW, Marwood L, Nortey K, Harvey J, McAllister-Williams RH, Geddes JR, Barrera A, Young AH, Cleare AJ, Strawbridge R. A retrospective examination of care pathways in individuals with treatment-resistant depression. BJPsych Open 2021; 7:e101. [PMID: 33988121 PMCID: PMC8161596 DOI: 10.1192/bjo.2021.59] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Individuals with treatment-resistant depression (TRD) experience a high burden of illness. Current guidelines recommend a stepped care approach for treating depression, but the extent to which best-practice care pathways are adhered to is unclear. AIMS To explore the extent and nature of 'treatment gaps' (non-adherence to stepped care pathways) experienced by a sample of patients with established TRD (non-response to two or more adequate treatments in the current depressive episode) across three cities in the UK. METHOD Five treatment gaps were considered and compared with guidelines, in a cross-sectional retrospective analysis: delay to receiving treatment, lack of access to psychological therapies, delays to medication changes, delays to adjunctive (pharmacological augmentation) treatment and lack of access to secondary care. We additionally explored participant characteristics associated with the extent of treatment gaps experienced. RESULTS Of 178 patients with TRD, 47% had been in the current depressive episode for >1 year before initiating antidepressants; 53% had received adequate psychological therapy. A total of 47 and 51% had remained on an unsuccessful first and second antidepressant trial respectively for >16 weeks, and 24 and 27% for >1 year before medication switch, respectively. Further, 54% had tried three or more antidepressant medications within their episode, and only 11% had received adjunctive treatment. CONCLUSIONS There appears to be a considerable difference between treatment guidelines for depression and the reality of care received by people with TRD. Future research examining representative samples of patients could determine recommendations for optimising care pathways, and ultimately outcomes, for individuals with this illness.
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Affiliation(s)
- Elana Day
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and National Affective Disorders Service, South London & Maudsley NHS Foundation Trust, UK
| | - Rupal Shah
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and National Affective Disorders Service, South London & Maudsley NHS Foundation Trust, UK
| | - Rachael W Taylor
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Lindsey Marwood
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Kimberley Nortey
- Academic Psychiatry, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, UK; and Northern Centre for Mood Disorders, Translational and Clinical Research Institute, Newcastle University, UK
| | - Jade Harvey
- Research Delivery, Oxford Health NHS Foundation Trust, UK
| | - R Hamish McAllister-Williams
- Academic Psychiatry, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, UK; and Northern Centre for Mood Disorders, Translational and Clinical Research Institute, Newcastle University, UK
| | - John R Geddes
- Research Delivery, Oxford Health NHS Foundation Trust, UK; and Department of Psychiatry, Oxford University, UK
| | - Alvaro Barrera
- Research Delivery, Oxford Health NHS Foundation Trust, UK; and Department of Psychiatry, Oxford University, UK
| | - Allan H Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and National Affective Disorders Service, South London & Maudsley NHS Foundation Trust, UK
| | - Anthony J Cleare
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; and National Affective Disorders Service, South London & Maudsley NHS Foundation Trust, UK
| | - Rebecca Strawbridge
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
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Jones BDM, Husain MI, Mulsant BH. The use of sequential pharmacotherapy for the treatment of acute major depression: a scoping review. Expert Opin Pharmacother 2021; 22:1005-1014. [PMID: 33612048 DOI: 10.1080/14656566.2021.1878144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Major Depressive Disorder (MDD) is a chronic, relapsing, and remitting disorder affecting over 250 million persons each year worldwide. More than 50% of the patients do not respond to their initial antidepressant treatment and may benefit from sequential pharmacotherapy for the acute treatment of their MDD. Although guidelines outline options for next-step treatments, there is a paucity of evidence to select specific second- or third-step treatments. AREAS COVERED This scoping review synthesizes and discusses available evidence for sequential pharmacotherapy for MDD. MEDLINE was searched from inception to 7 July 2020; 4490 studies were identified. We selected meta-analyses and reports on clinical trials that were judged to inform the sequential selection of pharmacotherapy for MDD. EXPERT OPINION Most relevant published trials are focused on, and support, the use of augmentation pharmacotherapy. There is also some support for other strategies such as combining or switching antidepressants. In the future, more studies need to directly compare these sequential options. To provide more personalized treatment within the framework of precision psychiatry, these studies should include an assessment of moderators and mediators ('mechanism') of antidepressant response.
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Affiliation(s)
- Brett D M Jones
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - M Ishrat Husain
- Department of Psychiatry, University of Toronto, Toronto, Canada.,General Adult Psychiatry and Health Systems Division, Centre for Addiction and Mental Health, Toronto, Canada
| | - Benoit H Mulsant
- Department of Psychiatry, University of Toronto, Toronto, Canada.,Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Canada
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The Role of Inflammatory Proteins in Anti-Glucocorticoid Therapy for Treatment-Resistant Depression. J Clin Med 2021; 10:jcm10040784. [PMID: 33669254 PMCID: PMC7920038 DOI: 10.3390/jcm10040784] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/27/2021] [Accepted: 02/09/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Optimising treatments for patients with treatment-resistant depression (TRD) is key to reducing the burden of this severe illness. The anti-glucocorticoid medication metyrapone has mixed evidence supporting a role as a possible augmentation treatment in TRD. The degree of treatment resistance in depression has been associated prospectively and retrospectively with elevated inflammation, and inflammatory activity may influence responses to antidepressant treatments. AIMS To investigate whether levels of pro-inflammatory cytokines are associated with clinical outcomes to metyrapone or placebo. METHODS A double-blind RCT randomised patients with TRD to 3 weeks of placebo or metyrapone augmentation to ongoing serotonergic antidepressants. No benefit of metyrapone was reported in the primary analysis. The current study assessed levels of pro-inflammatory proteins interleukin-6 (IL-6), tumour necrosis factor (TNFα), c-reactive protein (CRP) and interleukin-10 (IL-10) before randomisation and after treatment as potential moderators and/or mediators of clinical outcomes. RESULTS The three pro-inflammatory proteins (but not IL-10) were elevated in this sample of patients with TRD compared to a non-affected control group. High pre-treatment IL-6 levels predicted a poorer response in the trial overall but did not moderate response to metyrapone versus placebo. Changes in IL-6 indirectly mediated depression outcome, with metyrapone increasing IL-6 levels and IL-6 increase associated with a poorer outcome on depression. Other inflammatory proteins did not mediate or moderate treatment outcomes. INTERPRETATION Metyrapone is hypothesised to have a therapeutic effect in depression on the basis of inhibiting the synthesis of cortisol. In this study, metyrapone did not reduce cortisol, possibly due to glucocorticoid system overcompensation). The mediation effect of IL-6 may support this and perhaps help to indicate why the treatment was not effective.
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Chen MH, Wu HJ, Li CT, Lin WC, Bai YM, Tsai SJ, Hong CJ, Tu PC, Cheng CM, Su TP. Using classification and regression tree modelling to investigate treatment response to a single low-dose ketamine infusion: Post hoc pooled analyses of randomized placebo-controlled and open-label trials. J Affect Disord 2021; 281:865-871. [PMID: 33239245 DOI: 10.1016/j.jad.2020.11.045] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 09/08/2020] [Accepted: 11/07/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND Evidence suggests that clinical markers, such as comorbid anxiety, body weight, and others can assist in predicting response to low-dose ketamine infusion in treatment resistant depression patients. However, whether a composite of clinical markers may improve the predicted probability of response is uncertain. METHODS The current study investigated the results of our previous randomized placebo-controlled and open-label trials in which 73 patients with treatment-resistant depression (TRD) received a single ketamine infusion of 0.5 mg/kg. Clinical characteristics at baseline, including depression severity, duration of the current episode, obesity, comorbidity of anxiety disorder, and current suicide risk, were assessed as potential predictors in a classification and regression tree model for treatment response to ketamine infusion. RESULTS The predicted probability of a composite of age at disease onset, depression severity, duration of current episode, and obesity/overweight was significantly greater (area under curve = .736, p = .001) than that of any one marker (all p > .05). The most powerful predictors of treatment response to ketamine infusion were younger age at disease onset and obesity/overweight. The strongest predictors of treatment nonresponse were longer duration of the current episode and greater depression severity at baseline. DISCUSSION Depression severity, duration of the current episode, obesity, and age at disease onset may predict treatment response versus nonresponse to low-dose ketamine infusion. However, whether our predicted probability for a single infusion may be applied to repeated infusions would require further investigation. CLINICAL TRIAL REGISTRATION UMIN Clinical Trials Registry (UMIN000023581 and UMIN000016985).
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Affiliation(s)
- Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Hui-Ju Wu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cheng-Ta Li
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan.
| | - Wei-Chen Lin
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Chen-Jee Hong
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Pei-Chi Tu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chih-Ming Cheng
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan.
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11
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Taylor RW, Marwood L, Oprea E, DeAngel V, Mather S, Valentini B, Zahn R, Young AH, Cleare AJ. Pharmacological Augmentation in Unipolar Depression: A Guide to the Guidelines. Int J Neuropsychopharmacol 2020; 23:587-625. [PMID: 32402075 PMCID: PMC7710919 DOI: 10.1093/ijnp/pyaa033] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 04/27/2020] [Accepted: 05/12/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Pharmacological augmentation is a recommended strategy for patients with treatment-resistant depression. A range of guidelines provide advice on treatment selection, prescription, monitoring and discontinuation, but variation in the content and quality of guidelines may limit the provision of objective, evidence-based care. This is of importance given the side effect burden and poorer long-term outcomes associated with polypharmacy and treatment-resistant depression. This review provides a definitive overview of pharmacological augmentation recommendations by assessing the quality of guidelines for depression and comparing the recommendations made. METHODS A systematic literature search identified current treatment guidelines for depression published in English. Guidelines were quality assessed using the Appraisal of Guidelines for Research and Evaluation II tool. Data relating to the prescription of pharmacological augmenters were extracted from those developed with sufficient rigor, and the included recommendations compared. RESULTS Total of 1696 records were identified, 19 guidelines were assessed for quality, and 10 were included. Guidelines differed in their quality, the stage at which augmentation was recommended, the agents included, and the evidence base cited. Lithium and atypical antipsychotics were recommended by all 10, though the specific advice was not consistent. Of the 15 augmenters identified, no others were universally recommended. CONCLUSIONS This review provides a comprehensive overview of current pharmacological augmentation recommendations for major depression and will support clinicians in selecting appropriate treatment guidance. Although some variation can be accounted for by date of guideline publication, and limited evidence from clinical trials, there is a clear need for greater consistency across guidelines to ensure patients receive consistent evidence-based care.
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Affiliation(s)
- Rachael W Taylor
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
- National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Lindsey Marwood
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
| | - Emanuella Oprea
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - Valeria DeAngel
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
- National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Sarah Mather
- Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | - Beatrice Valentini
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
- Department of Psychology and Educational Sciences, University of Geneva, Geneva, Switzerland
| | - Roland Zahn
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
- National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Allan H Young
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
- National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom
| | - Anthony J Cleare
- The Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, De Crespigny Park, London, United Kingdom
- South London and Maudsley NHS Foundation Trust, London, United Kingdom
- National Institute for Health Research Maudsley Biomedical Research Centre, South London & Maudsley NHS Foundation Trust, London, United Kingdom
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12
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Strawbridge R, Marwood L, King S, Young AH, Pariante CM, Colasanti A, Cleare AJ. Inflammatory Proteins and Clinical Response to Psychological Therapy in Patients with Depression: An Exploratory Study. J Clin Med 2020; 9:jcm9123918. [PMID: 33276697 PMCID: PMC7761611 DOI: 10.3390/jcm9123918] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 11/30/2020] [Accepted: 12/01/2020] [Indexed: 12/28/2022] Open
Abstract
In people with depression, immune dysfunctions have been linked with treatment non-response, but examinations of psychological therapy outcomes, particularly longitudinal biomarker studies, are rare. This study investigated relationships between inflammation, depressive subtypes and clinical outcomes to psychological therapy. Adults with depression (n = 96) were assessed before and after a course of naturalistically-delivered psychological therapy. In total, 32 serum inflammatory proteins were examined alongside therapy outcomes and depressive subtypes (somatic/cognitive symptom subtype, and bipolar/unipolar depression). Overall, 49% of participants responded to treatment. High levels of tumour necrosis factor (TNFα), interleukin-6 (IL-6) and soluble intracellular adhesion molecule-1 (sICAM1), and low interferon-γ (IFNγ), preceded a poorer response to therapy. After therapy, non-responders had elevated c-reactive protein (CRP), thymus and activation-regulated chemokine (TARC) and macrophage chemoattractant protein-4 (MCP4), and attenuated IFNy. Non-somatic depressive symptoms were universally not associated with proteins, while somatic-depressive symptom severity was positively correlated with several pro-inflammatory markers. In the somatic subgroup only, IL-6 and serum amyloid alpha (SAA) decreased between pre- and post-therapy timepoints. Regardless of treatment response, IL-7, IL-8, IL-15 and IL-17 increased over time. These results suggest that inflammation is associated with somatic symptoms of depression and non-response to psychological therapy. Future work may enhance the prospective prediction of treatment-response by examining larger samples of individuals undertaking standardised treatment programmes.
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Affiliation(s)
- Rebecca Strawbridge
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, Denmark Hill, London SE5 8AZ, UK; (L.M.); (S.K.); (A.H.Y.); (C.M.P.); (A.J.C.)
- Correspondence:
| | - Lindsey Marwood
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, Denmark Hill, London SE5 8AZ, UK; (L.M.); (S.K.); (A.H.Y.); (C.M.P.); (A.J.C.)
| | - Sinead King
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, Denmark Hill, London SE5 8AZ, UK; (L.M.); (S.K.); (A.H.Y.); (C.M.P.); (A.J.C.)
| | - Allan H. Young
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, Denmark Hill, London SE5 8AZ, UK; (L.M.); (S.K.); (A.H.Y.); (C.M.P.); (A.J.C.)
- South London & Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, UK
| | - Carmine M. Pariante
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, Denmark Hill, London SE5 8AZ, UK; (L.M.); (S.K.); (A.H.Y.); (C.M.P.); (A.J.C.)
- South London & Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, UK
| | - Alessandro Colasanti
- Department of Neuroscience, Brighton and Sussex Medical School, Sussex University, Brighton BN1 9PX, UK;
| | - Anthony J. Cleare
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, Denmark Hill, London SE5 8AZ, UK; (L.M.); (S.K.); (A.H.Y.); (C.M.P.); (A.J.C.)
- South London & Maudsley NHS Foundation Trust, Denmark Hill, London SE5 8AZ, UK
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13
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Almeida PG, Nani JV, Oses JP, Brietzke E, Hayashi MA. Neuroinflammation and glial cell activation in mental disorders. Brain Behav Immun Health 2020; 2:100034. [PMID: 38377429 PMCID: PMC8474594 DOI: 10.1016/j.bbih.2019.100034] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 12/20/2019] [Accepted: 12/21/2019] [Indexed: 02/07/2023] Open
Abstract
Mental disorders (MDs) are highly prevalent and potentially debilitating complex disorders which causes remain elusive. Looking into deeper aspects of etiology or pathophysiology underlying these diseases would be highly beneficial, as the scarce knowledge in mechanistic and molecular pathways certainly represents an important limitation. Association between MDs and inflammation/neuroinflammation has been widely discussed and accepted by many, as high levels of pro-inflammatory cytokines were reported in patients with several MDs, such as schizophrenia (SCZ), bipolar disorder (BD) and major depression disorder (MDD), among others. Correlation of pro-inflammatory markers with symptoms intensity was also reported. However, the mechanisms underlying the inflammatory dysfunctions observed in MDs are not fully understood yet. In this context, microglial dysfunction has recently emerged as a possible pivotal player, as during the neuroinflammatory response, microglia can be over-activated, and excessive production of pro-inflammatory cytokines, which can modify the kynurenine and glutamate signaling, is reported. Moreover, microglial activation also results in increased astrocyte activity and consequent glutamate release, which are both toxic to the Central Nervous System (CNS). Also, as a result of increased microglial activation in MDs, products of the kynurenine pathway were shown to be changed, influencing then the dopaminergic, serotonergic, and glutamatergic signaling pathways. Therefore, in the present review, we aim to discuss how neuroinflammation impacts on glutamate and kynurenine signaling pathways, and how they can consequently influence the monoaminergic signaling. The consequent association with MDs main symptoms is also discussed. As such, this work aims to contribute to the field by providing insights into these alternative pathways and by shedding light on potential targets that could improve the strategies for pharmacological intervention and/or treatment protocols to combat the main pharmacologically unmatched symptoms of MDs, as the SCZ.
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Key Words
- AMPA, alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid
- APCs, antigen presenting cells
- BBB, blood-brain barrier
- BD, bipolar disorder
- CCL, C–C motif chemokine ligand
- CLRs, C-type lectin receptors
- CNS, central nervous system
- CSF, cerebrospinal fluid
- CXCL, X–C motif chemokine ligand
- Glia
- IDO, indolamine 2,3-dioxygenase
- IFN, interferon
- IL, interleukin
- IRF, interferon regulatory factor
- Inflammation
- KYNA, kynurenic acid
- MD, mental disorders
- MDD, major depression disorder
- MRI, magnetic resonance imaging
- Mental disorders
- Microglial activation
- NF, necrosis factor
- NMDA, N-methyl-D-aspartate
- NMR, nuclear magnetic resonance
- PPI, prepulse inhibition
- PRRs, pattern recognition receptors
- QUIN, quinolinic acid
- SCZ, schizophrenia
- Schizophrenia
- TGF, tumor growth factor
- TLRs, toll-like receptors
- TNF, tumor necrosis factor
- α7-nAchR, alpha 7 nicotinic acetylcholine receptor
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Affiliation(s)
- Priscila G.C. Almeida
- Departamento de Farmacologia, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - João Victor Nani
- Departamento de Farmacologia, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Jean Pierre Oses
- Programa Multicêntrico de Pós-Graduação em Bioquímica e Biologia Molecular, Instituto de Biociências, Universidade Federal do Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Elisa Brietzke
- Department of Psychiatry, Queen’s University School of Medicine, Kingston, ON, Canada
| | - Mirian A.F. Hayashi
- Departamento de Farmacologia, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
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