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Fountoulakis KN, Saitis A, Schatzberg AF. Esketamine Treatment for Depression in Adults: A PRISMA Systematic Review and Meta-Analysis. Am J Psychiatry 2025; 182:259-275. [PMID: 39876682 DOI: 10.1176/appi.ajp.20240515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2025]
Abstract
OBJECTIVE Intranasal esketamine has been approved as an adjunctive therapy for treatment-resistant major depressive disorder with acute suicidal ideation and behavior. The authors conducted a systematic review and meta-analysis of the available data on its efficacy against depression and suicidality as well as its side effects. METHODS MEDLINE was searched with the keyword "esketamine" on March 24, 2024, using the PRISMA method. Data processing and statistical analysis were performed with R, version 4.3.3, and the meta-analysis was performed with the METAFOR package. RESULTS Of 1,115 articles initially identified, 87 were included for analysis and discussion. At weeks 2-4, randomized controlled trials were mostly negative or failed; however, the meta-analysis returned a weak but significant positive effect for depression (effect size range, 0.15-0.23 at weeks 2-4), similar to augmentation strategies with atypical antipsychotics for treatment-resistant depression. The effect size concerning suicidality was not significant at any time point. The sensitivity analysis produced the same results. CONCLUSIONS The study findings suggest that esketamine's efficacy as an add-on to antidepressants is modest in treatment-resistant depression (similar to augmentation strategies with atypical antipsychotics) and is absent against suicidality itself. These findings need to be considered in light of esketamine's abuse potential and the fact that long-term effects are still not fully known. Some alarming signs concerning deaths and emerging suicidality during the testing phase are discussed, along with other regulatory issues.
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Affiliation(s)
- Konstantinos N Fountoulakis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece (Fountoulakis, Saitis); Stanford University Mood Disorders Center and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford (Schatzberg)
| | - Athanasios Saitis
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece (Fountoulakis, Saitis); Stanford University Mood Disorders Center and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford (Schatzberg)
| | - Alan F Schatzberg
- 3rd Department of Psychiatry, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece (Fountoulakis, Saitis); Stanford University Mood Disorders Center and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford (Schatzberg)
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Xu B, Forthman KL, Kuplicki R, Ahern J, Loughnan R, Naber F, Thompson WK, Nemeroff CB, Paulus MP, Fan CC. Genetic Correlates of Treatment-Resistant Depression. JAMA Psychiatry 2025:2830400. [PMID: 40009368 DOI: 10.1001/jamapsychiatry.2024.4825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/27/2025]
Abstract
Importance Treatment-resistant depression (TRD) is a major challenge in mental health, affecting a significant number of patients and leading to considerable burdens. The etiological factors contributing to TRD are complex and not fully understood. Objective To investigate the genetic factors associated with TRD using polygenic scores (PGS) across various traits and explore their potential role in the etiology of TRD using large-scale genomic data from the All of Us (AoU) Research Program. Design, Setting, and Participants This study was a cohort design with observational data from participants in the AoU Research Program who have both electronic health records and genomic data. Data analysis was performed from March 27 to October 24, 2024. Exposures PGS for 61 unique traits from 7 domains. Main Outcomes and Measures Logistic regressions to test if PGS was associated with treatment-resistant depression (TRD) compared with treatment-responsive major depressive disorder (trMDD). Cox proportional hazard model was used to determine if the progressions from MDD to TRD were associated with PGS. Results A total of 292 663 participants (median [IQR] age, 57 (41-69) years; 175 981 female [60.1%]) from the AoU Research Program were included in this analysis. In the discovery set (124 945 participants), 11 of the selected PGS were found to have stronger associations with TRD than with trMDD, encompassing PGS from domains in education, cognition, personality, sleep, and temperament. Genetic predisposition for insomnia (odds ratio [OR], 1.11; 95% CI, 1.07-1.15) and specific neuroticism (OR, 1.11; 95% CI, 1.07-1.16) traits were associated with increased TRD risk, whereas higher education (OR, 0.88; 95% CI, 0.85-0.91) and intelligence (OR, 0.91; 95% CI, 0.88-0.94) scores were protective. The associations held across different TRD definitions (meta-analytic R2 >83%) and were consistent across 2 other independent sets within AoU (the whole-genome sequencing Diversity dataset, 104 388, and Microarray dataset, 63 330). Among 28 964 individuals followed up over time, 3854 developed TRD within a mean of 944 days (95% CI, 883-992 days). All 11 previously identified and replicated PGS were found to be modulating the conversion rate from MDD to TRD. Conclusions and Relevance Results of this cohort study suggest that genetic predisposition related to neuroticism, cognitive function, and sleep patterns had a significant association with the development of TRD. These findings underscore the importance of considering psychosocial factors in managing and treating TRD. Future research should focus on integrating genetic data with clinical outcomes to enhance understanding of pathways leading to treatment resistance.
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Affiliation(s)
- Bohan Xu
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma
- Laureate Institute for Brain Research, Tulsa, Oklahoma
| | | | | | - Jonathan Ahern
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma
- Center for Human Development, University of California, San Diego, La Jolla
| | - Robert Loughnan
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma
- Center for Human Development, University of California, San Diego, La Jolla
| | - Firas Naber
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma
- Laureate Institute for Brain Research, Tulsa, Oklahoma
| | - Wesley K Thompson
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma
- Laureate Institute for Brain Research, Tulsa, Oklahoma
- Division of Biostatistics and Bioinformatics, the Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Charles B Nemeroff
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Austin
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma
- Department of Psychiatry, University of California, San Diego, La Jolla
| | - Chun Chieh Fan
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma
- Laureate Institute for Brain Research, Tulsa, Oklahoma
- Department of Radiology, University of California, San Diego, La Jolla
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Ren Y, Li M, Yang C, Jiang W, Wu H, Pan R, Yang Z, Wang X, Wang W, Wang W, Jin W, Ma X, Liu H, Li R. Suicidal risk is associated with hyper-connections in the frontal-parietal network in patients with depression. Transl Psychiatry 2025; 15:49. [PMID: 39939611 PMCID: PMC11822010 DOI: 10.1038/s41398-025-03249-y] [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: 07/16/2024] [Revised: 12/07/2024] [Accepted: 01/16/2025] [Indexed: 02/14/2025] Open
Abstract
Suicide is a complex behavior strongly associated with depression. Despite extensive research, an objective biomarker for evaluating suicide risk precisely and timely is still lacking. Using the precision resting-state fMRI method, we studied 61 depressive patients with suicide ideation (SI) or suicide attempt (SA), and 35 patients without SI to explore functional biomarkers of suicide risk. Among them, 21 participants also completed electroconvulsive therapy (ECT) treatment, allowing the examination of functional changes across different risk states within the same individual. Functional networks were localized in each subject using resting-state fMRI and then an individualized connectome was constructed to represent the subject's functional brain organization. We identified a set of connections that track suicide risk (r = 0.41, p = 0.001) and found that these risk-associated connections were hyper-connected in the frontoparietal network (FPN, p = 0.008, Cohen's d = 0.58) in patients with suicide risk compared to those without. Moreover, ECT treatment significantly reduced (p = 0.001, Cohen's d = 0.56) and normalized these FPN hyper-connections. These findings suggest that connections involving FPN may constitute an important biomarker for evaluating suicide risk and may provide potential targets for interventions such as non-invasive brain stimulation.
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Affiliation(s)
- Yanping Ren
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Meiling Li
- Division of Brain Sciences, Changping Laboratory, Beijing, China
| | - Chunlin Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Wei Jiang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Han Wu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Ruiqi Pan
- Division of Brain Sciences, Changping Laboratory, Beijing, China
| | - Zekun Yang
- Division of Brain Sciences, Changping Laboratory, Beijing, China
| | - Xue Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Wei Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Wen Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Wenqing Jin
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xin Ma
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Hesheng Liu
- Division of Brain Sciences, Changping Laboratory, Beijing, China.
- Biomedical Pioneering Innovation Center (BIOPIC), Peking University, Beijing, China.
| | - Rena Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
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Choi KM, Hwang HH, Yang C, Jung B, Im CH, Lee SH. Association between the functional brain network and antidepressant responsiveness in patients with major depressive disorders: a resting-state EEG study. Psychol Med 2025; 55:e25. [PMID: 39909854 DOI: 10.1017/s0033291724003477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2025]
Abstract
BACKGROUND Recent neuroimaging studies have demonstrated that the heterogeneous antidepressant responsiveness in patients with major depressive disorder (MDD) is associated with diverse resting-state functional brain network (rsFBN) topology; however, only limited studies have explored the rsFBN using electroencephalography (EEG). In this study, we aimed to identify EEG-derived rsFBN-based biomarkers to predict pharmacotherapeutic responsiveness. METHODS The resting-state EEG signals were acquired for demography-matched three groups: 98 patients with treatment-refractory MDD (trMDD), 269 those with good-responding MDD (grMDD), and 131 healthy controls (HCs). The source-level rsFBN was constructed using 31 sources as nodes and beta-band power envelope correlation (PEC) as edges. The degree centrality (DC) and clustering coefficients (CCs) were calculated for various sparsity levels. Network-based statistic and one-way analysis of variance models were employed for comparing PECs and network indices, respectively. The multiple comparisons were controlled by the false discovery rate. RESULTS Patients with trMDD were characterized by the altered dorsal attention network and salience network. Specifically, they exhibited hypoconnection between eye fields and right parietal regions (p = 0.0088), decreased DC in the right supramarginal gyrus (q = 0.0057), and decreased CC in the reward circuit (qs < 0.05). On the other hand, both MDD groups shared increased DC but decreased CC in the posterior cingulate cortex. CONCLUSIONS We confirmed that network topology was more severely deteriorated in patients with trMDD, particularly for the attention-regulatory networks. Our findings suggested that the altered rsFBN topologies could serve as potential pathologically interpretable biomarkers for predicting antidepressant responsiveness.
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Affiliation(s)
- Kang-Min Choi
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Hyeon-Ho Hwang
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea
- Department of Human-Computer Interaction, Hanyang University, Ansan, Republic of Korea
| | - Chaeyeon Yang
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea
| | - Bori Jung
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea
- Department of Psychology, Sogang University, Seoul, Republic of Korea
| | - Chang-Hwan Im
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
- Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea
| | - Seung-Hwan Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea
- Department of Psychiatry, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea
- Bwave Inc, Juhwa-ro, Goyang, Republic of Korea
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Sohn MN, Cole J, Bray SL, McGirr A. Intermittent theta-burst stimulation with adjunctive D-cycloserine rapidly resolves suicidal ideation and decreases implicit association with death/suicide. Psychol Med 2025; 55:e13. [PMID: 39905763 DOI: 10.1017/s0033291724003313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2025]
Abstract
BACKGROUND Depressive disorders are the most common diagnosis among individuals who die by suicide, and intermittent theta-burst stimulation (iTBS) is a noninvasive treatment for those with difficult-to-treat depression who are at higher risk for suicide. Previous data suggests that pairing iTBS with D-cycloserine, a partial N-methyl-D-aspartate (NMDA) receptor agonist, improves antidepressant outcomes. However, its impact on suicide risk is not known. METHODS We examine suicidal ideation and implicit suicide risk after iTBS+D-cycloserine in two clinical trials (open-label trial [n = 12] and randomized placebo-controlled trial [RCT, n = 50]) involving adults with major depressive disorder and the acute effects of D-cycloserine on implicit suicide risk in a crossover trial (n = 18). Implicit suicide risk was assessed using the computerized death/suicide implicit association test (IAT), and depressive symptoms and suicidal ideation were assessed using the clinician-rated Montgomery-Asberg Depression Rating Scale (MADRS). RESULTS Open-label iTBS+D-cycloserine was associated with a rapid reduction in suicidal ideation, and iTBS+D-cycloserine was superior to iTBS+placebo in reducing suicidal ideation. Similarly, open-label iTBS+D-cycloserine was associated with decreased implicit suicide risk as measured by the death/suicide IAT, and iTBS+D-cycloserine was associated with greater decreases in death/suicide IAT scores compared to iTBS+placebo. A single acute dose of D-cycloserine in the absence of iTBS had no effect on implicit suicide risk. CONCLUSIONS Adjunctive D-cycloserine with iTBS is a promising strategy to reduce suicidal ideation and implicit suicide risk in depression.
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Affiliation(s)
- Myren N Sohn
- Department of Psychiatry, University of Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Mental Health Research and Education, Calgary, AB, Canada
| | - Jaeden Cole
- Department of Psychiatry, University of Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Mental Health Research and Education, Calgary, AB, Canada
| | - Signe L Bray
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Mental Health Research and Education, Calgary, AB, Canada
- Department of Radiology, University of Calgary, Calgary, AB, Canada
| | - Alexander McGirr
- Department of Psychiatry, University of Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Mathison Centre for Mental Health Research and Education, Calgary, AB, Canada
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Schreiber S, Keidan L, Pick CG. A New Trick of Old Dogs: Can Kappa Opioid Receptor Antagonist Properties of Antidepressants Assist in Treating Treatment-Resistant Depression (TRD)? Pharmaceuticals (Basel) 2025; 18:208. [PMID: 40006022 PMCID: PMC11858657 DOI: 10.3390/ph18020208] [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: 12/01/2024] [Revised: 01/23/2025] [Accepted: 01/27/2025] [Indexed: 02/27/2025] Open
Abstract
Background/Objectives: Approximately one in five individuals will experience major depressive disorder (MDD), and 30% exhibit resistance to standard antidepressant treatments, resulting in a diagnosis of treatment-resistant depression (TRD). Historically, opium was used effectively to treat depression; however, when other medications were introduced, its use was discontinued due to addiction and other hazards. Recently, kappa opioid receptor (KOR) antagonism has been proposed as a potential mechanism for treating TRD. The main research question is whether commonly used psychotropic medications possess KOR antagonist properties and whether this characteristic could contribute to their efficacy in TRD. Methods: We investigated the antinociceptive effects of many psychotropic medications and their interactions with the opioid system. Mice were tested with a hotplate or tail-flick after being injected with different doses of these agents. Results: The antidepressants mianserin and mirtazapine (separately) induced dose-dependent antinociception, each yielding a biphasic dose-response curve. Similarly, the antidepressant venlafaxine produced a potent effect and reboxetine produced a weak effect. The antipsychotics risperidone and amisulpride exhibited a dose-dependent antinociceptive effect. The sedative-hypnotic zolpidem induced a weak bi-phasic dose-dependent antinociceptive effect. All seven psychotropic medications elicited antinociception, which was reversed by the non-selective opiate antagonist naloxone and, separately, by the kappa-selective antagonist Nor-BNI. Conclusions: Clinical studies are mandatory to establish the potential efficacy of augmentation of the treatment with antidepressants with these drugs in persons with treatment-resistant depression and the optimal dosage of medications prescribed. We suggest a possible beneficial effect of antidepressants with kappa antagonistic properties.
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Affiliation(s)
- Shaul Schreiber
- Department of Psychiatry, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel;
- Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse Treatment and Research, Tel Aviv Sourasky Medical Center, Tel Aviv 6423906, Israel
- Faculty of Medicine & Health Sciences, Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6905904, Israel
| | - Lee Keidan
- Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv 6905904, Israel;
- Department of Anatomy and Anthropology, Faculty of Medicine & Health Sciences, Tel Aviv University, Tel Aviv 6905904, Israel
| | - Chaim G. Pick
- Faculty of Medicine & Health Sciences, Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 6905904, Israel
- Sylvan Adams Sports Institute, Tel Aviv University, Tel Aviv 6905904, Israel;
- Department of Anatomy and Anthropology, Faculty of Medicine & Health Sciences, Tel Aviv University, Tel Aviv 6905904, Israel
- Dr. Miriam and Sheldon G. Adelson Center for the Biology of Addictive Diseases, Tel-Aviv University, Tel-Aviv 6905904, Israel
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Palhano-Fontes F, Cavalcanti-Ribeiro P, da Costa Gonçalves KT, de Almeida VRN, Barbosa DC, de Araújo Ferreira MA, Bolcont R, De Souza LCAM, Santos NC, Lopes EITC, de Medeiros Lima NB, de Brito AJC, Falchi-Carvalho M, Arcoverde E, Araujo D, Galvão-Coelho NL. Repeated subcutaneous esketamine on treatment-resistant depression: An open-label dose titration study. J Affect Disord 2025; 369:155-163. [PMID: 39341294 DOI: 10.1016/j.jad.2024.09.141] [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: 05/14/2024] [Revised: 09/10/2024] [Accepted: 09/21/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND Ketamine has gained prominence as one of the most effective therapeutic options in unipolar treatment-resistant depression (TRD). However, most studies related to the antidepressant action of ketamine used intravenous (IV) or intranasal (IN) administration. The subcutaneous (SC) route of administration is a promising alternative, as it results in plasma levels comparable to IV, causes fewer side effects, and is easier and cheaper to administer than both IV and/or IN routes. METHODS In this context, we conducted an open-label clinical trial for investigating the efficacy and safety of 8 weekly sessions of SC esketamine in TRD patients (n = 30). RESULTS At the end of the treatment, a partial response rate of 26.09 %, a response rate of 52.17 % and remission rate of 34.78 % were observed, assessed by Montgomery-Åsberg Depression Rating Scale. Moreover, the self-reported depressive symptoms, as measured by the Beck Depression Inventory II (BDI-II), significantly decreased from the baseline to the final session, and the improvements were sustained throughout the week. Follow-up evaluations (BDI-II) up to the sixth month consistently showed scores lower than the baseline. LIMITATIONS The small sample size and the drop-out during the follow-up phase may limit the generalizability of the findings. Additionally, the absence of a control group necessitates cautious interpretation of causality. CONCLUSIONS This groundbreaking study, which addresses SC esketamine treatment for TRD, reported promising response and remission rates, as well as sustained antidepressant effects. It highlights the need for further research to improve and expand our knowledge of this innovative, more accessible, and cost-effective therapeutic approach.
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Affiliation(s)
- Fernanda Palhano-Fontes
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil; Center for Advanced Psychedelic Medicine, Natal, RN, Brazil
| | - Patricia Cavalcanti-Ribeiro
- University Hospital Onofre Lopes, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil; Psychobiology Postgraduate Program, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | | | | | | | | | | | | | | | | | | | | | | | - Emerson Arcoverde
- University Hospital Onofre Lopes, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Draulio Araujo
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil; Center for Advanced Psychedelic Medicine, Natal, RN, Brazil
| | - Nicole Leite Galvão-Coelho
- Psychobiology Postgraduate Program, Department of Physiology and Behavior, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil; Center for Advanced Psychedelic Medicine, Natal, RN, Brazil.
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Kevin J L, Natalie E S, Ingrid C, Catherine L, Samuel R, Steven P H, Esti I. Association of intravenous ketamine with change in depressive symptoms in a large integrated health care system. Psychiatry Res 2025; 343:116273. [PMID: 39608192 DOI: 10.1016/j.psychres.2024.116273] [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: 09/26/2024] [Revised: 11/15/2024] [Accepted: 11/16/2024] [Indexed: 11/30/2024]
Abstract
OBJECTIVE Racemic ketamine intravenous treatments (KIT) are widely used in community clinics for treatment resistant depression (TRD), but we lack studies on symptom improvement during standardized delivery to clinically complex patients with TRD. We aimed to assess depression symptom change for patients receiving standardized KIT for TRD in a large integrated health care delivery system relative to similar patients receiving standard medication management. METHODS In this retrospective cohort study (n = 570), depression symptom change measured by the 9-item Patient Health Questionnaire (PHQ-9) was examined in 143 adults with TRD receiving 0.5mg/kg 40-minute KIT infusion twice weekly for 3 weeks from 01/01/2018 to 12/31/2022 and 427 contemporaneous patients with medication management (MM) matched on variables including sex, race, age, and baseline depression symptom score. We excluded patients with major neurocognitive disorder, schizophrenia, or pregnancy. RESULTS The KIT group was more likely to achieve depression response (PHQ-9 reduction >50 %) compared to MM (adjusted risk ratio [aRR]= 1.72, 95 % CI = 1.17 - 2.53; P = 0.006). The KIT group (8 % vs 5 %) was more likely to achieve depression remission (i.e. PHQ-9 < 5); however, the adjusted risk with KIT vs MM was not statistically significant. Baseline depression symptoms were associated with higher depression symptoms at follow up, as were co-occurring anxiety and personality disorders. CONCLUSIONS KIT was significantly associated with depression response and symptom improvement compared to MM. Clinicians should consider comorbid personality disorder, anxiety disorders, and baseline depression severity as potential predictors of KIT and other treatment response in TRD.
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Affiliation(s)
- Li Kevin J
- The Permanente Medical Group, Oakland, CA, USA; University of California San Francisco, San Francisco, CA, USA.
| | - Slama Natalie E
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
| | - Chen Ingrid
- The Permanente Medical Group, Oakland, CA, USA
| | - Lee Catherine
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
| | | | | | - Iturralde Esti
- Division of Research, Kaiser Permanente Northern California, Pleasanton, CA, USA
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Gustafsson TT, Taipale H, Lähteenvuo M, Tanskanen A, Svirskis T, Huoponen S, Tiihonen J. Cause-specific mortality in treatment-resistant major depression: Population-based cohort study. J Affect Disord 2025; 368:136-142. [PMID: 39271071 DOI: 10.1016/j.jad.2024.09.064] [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: 06/28/2024] [Revised: 09/06/2024] [Accepted: 09/10/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Limited evidence-base on long-term prognosis of treatment-resistant major depression (TRD) is a barrier to clinical decision-making. Therefore, the purpose of this study was to establish cause-specific mortality in TRD compared to non-TRD major depression. METHOD We identified all individuals with a diagnosis of major depression (MDD) who were treated with an antidepressant aged 15 to 65 years during 2004-2016 in Finland. Persons with over two treatment trials were defined to have TRD. Data were analysed with Cox proportional hazard models. RESULTS 176,942 individuals with MDD (63 % women, median age at index diagnosis 40 years), of whom 11 % (n = 19,305) fulfilled the TRD criteria, were followed-up for 1,525,646 person-years (median 8.9 years). There were 959 deaths (6.1 deaths/1000 person-years) in TRD and 7662 deaths (5.6/1000 person-years) in non-TRD. All-cause mortality was 17 % higher (adjusted hazard ratio (aHR), 1.17; 95 % confidence interval (CI), 1.09-1.25) in TRD compared to non-TRD, when sex and age at index antidepressant prescription were controlled for. In TRD, increased mortality was observed for suicides (aHR, 1.90; 95%CI, 1.64-2.20) and for accidental poisonings (aHR, 1.81; 95%CI, 1.48-2.22), but not for natural causes (aHR, 0.98; 95%CI, 0.90-1.07). A higher proportion of accidental drug overdoses was observed in TRD than in non-TRD (62 % vs 42 %, respectively). LIMITATIONS Definition of TRD lacks consensus. We used routine data to define TRD. CONCLUSIONS The markedly increased mortality due to suicides and accidental overdoses suggests that persons with TRD may experience higher intensity symptoms and more severe suicidal ideation than persons with non-TRD major depression.
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Affiliation(s)
- Tapio T Gustafsson
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland.
| | - Heidi Taipale
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland
| | - Antti Tanskanen
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tanja Svirskis
- Johnson & Johnson Innovative Medicine, P.O. Box 15 02621, Espoo, Finland
| | - Saara Huoponen
- Johnson & Johnson Innovative Medicine, P.O. Box 15 02621, Espoo, Finland
| | - Jari Tiihonen
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Kuopio, Finland; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Center for Psychiatry Research, Stockholm Region, Stockholm, Sweden
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10
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Conway CR, Aaronson ST, Sackeim HA, George MS, Zajecka J, Bunker MT, Duffy W, Stedman M, Riva-Posse P, Allen RM, Quevedo J, Berger M, Alva G, Malik MA, Dunner DL, Cichowicz I, Banov M, Manu L, Nahas Z, Macaluso M, Mickey BJ, Sheline Y, Kriedt CL, Lee YCL, Gordon C, Shy O, Tran Q, Yates L, Rush AJ. Vagus nerve stimulation in treatment-resistant depression: A one-year, randomized, sham-controlled trial. Brain Stimul 2024:S1935-861X(24)01390-1. [PMID: 39706521 DOI: 10.1016/j.brs.2024.12.1191] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 12/13/2024] [Accepted: 12/14/2024] [Indexed: 12/23/2024] Open
Abstract
BACKGROUND Few treatments are available for individuals with marked treatment-resistant depression (TRD). OBJECTIVE Evaluate the safety and effectiveness of FDA-approved adjunctive vagus nerve stimulation (VNS) in patients with marked TRD. METHODS This 12-month, multicenter, double-blind, sham-controlled trial included 493 adults with marked treatment-resistant major depression who were randomized to active or no-stimulation sham VNS for 12 months. The primary outcome was percent time in response across months 3-12, with response defined as a ≥50 % change from baseline on the Montgomery-Åsberg Depression Rating Scale (MADRS). Several secondary endpoints were evaluated. RESULTS Overall, 88.4 % of participants completed the trial. Percent time in MADRS response did not distinguish active from sham VNS. However, ratings from on-site clinicians (Clinical Global Inventory-Impression [CGI-I]), patients (Quick Inventory of Depressive Symptomology-Self Report [QIDS-SR]), and offsite masked raters (Quick Inventory of Depressive Symptomology-Clinician [QIDS-C]) revealed antidepressant benefits significantly favoring active VNS. Active VNS demonstrated significantly more percent time in response on the CGI-I (P = 0.004) and QIDS-SR (P = 0.049), and significantly more percent time in partial response (PR; symptom improvement ≥30 %) on the CGI-I (P < 0.001) and QIDS-C (P = 0.006) versus sham VNS. Active VNS exceeded sham VNS in rate of dyspnea (P = 0.035), a known side effect of VNS. No new adverse events were identified. CONCLUSIONS Percent time in MADRS response did not distinguish the treatment groups, but on multiple instruments time in response and PR showed a positive treatment effect. VNS was found safe and effective in participants with marked TRD.
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Affiliation(s)
- Charles R Conway
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA.
| | - Scott T Aaronson
- Institute for Advanced Diagnostics and Therapeutics, Sheppard Pratt Health System, Baltimore, MD, USA
| | - Harold A Sackeim
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Mark S George
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA; Ralph H. Johnson VA Health Care System, Charleston, SC, USA
| | - John Zajecka
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA; Psychiatric Medicine Associates, LLC, Skokie, IL, USA
| | - Mark T Bunker
- LivaNova PLC (or a Subsidiary), London, Great Britain, UK
| | | | | | - Patricio Riva-Posse
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | | | - João Quevedo
- Center for Interventional Psychiatry, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Matthew Berger
- Offices of Psychiatry & Counseling Services, Moosic, PA, USA
| | | | - Mohd A Malik
- PsychCare Consultants Research, St Louis, MO, USA
| | - David L Dunner
- Center for Anxiety and Depression, Mercer Island, WA, USA
| | | | | | - Lucian Manu
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Ziad Nahas
- University of Minnesota, Minneapolis, MN, USA
| | | | - Brian J Mickey
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - Yvette Sheline
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Charles Gordon
- LivaNova PLC (or a Subsidiary), London, Great Britain, UK
| | - Olivia Shy
- LivaNova PLC (or a Subsidiary), London, Great Britain, UK
| | - Quyen Tran
- LivaNova PLC (or a Subsidiary), London, Great Britain, UK
| | - Laura Yates
- LivaNova PLC (or a Subsidiary), London, Great Britain, UK
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11
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Rush AJ, Conway CR, Aaronson ST, George MS, Riva-Posse P, Dunner DL, Zajecka J, Bunker MT, Quevedo J, Allen RM, Alva G, Luing H, Nahas Z, Manu L, Bennett JI, Mickey BJ, Becker J, Sheline Y, Cusin C, Murrough JW, Reeves K, Rosenquist PB, Lee YCL, Majewski S, Way J, Olin B, Sackeim HA. Effects of vagus nerve stimulation on daily function and quality of life in markedly treatment-resistant major depression: Findings from a one-year, randomized, sham-controlled trial. Brain Stimul 2024:S1935-861X(24)01382-2. [PMID: 39701918 DOI: 10.1016/j.brs.2024.12.1187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Revised: 11/15/2024] [Accepted: 12/01/2024] [Indexed: 12/21/2024] Open
Abstract
BACKGROUND Depression treatments aim to minimize symptom burden and optimize quality of life (QoL) and psychosocial function. OBJECTIVE Compare the effects of adjunctive versus sham vagus nerve stimulation (VNS) on QoL and function in markedly treatment-resistant depression (TRD). METHODS In this multicenter, double-blind, sham-controlled trial, 493 adults with TRD and ≥4 adequate but unsuccessful antidepressant treatment trials (current episode) were randomized to active (n = 249) or sham (n = 244) VNS (plus treatment as usual) over a 12-month observation period. Quarterly outcomes included QoL with the Q-LES-Q, Mini-Q-LES-Q, and EQ-5D-5L, and function with the WHODAS 2.0 and Work Productivity and Activity Impairment Questionnaire (WPAI) item 6. Differences between treatment groups in change in scores from baseline and percentage of time with a meaningful response in Q-LES-Q, Mini-Q-LES-Q, and WPAI item 6 scores were analyzed. RESULTS Active VNS was superior to sham in mean change in scores from baseline in the Mini-Q-LES-Q (P = 0.050) and WPAI item 6 (health condition's effect on regular activities [P = 0.050]) used as continuous variables, with a similar trend for Q-LES-Q (P = 0.061). Active VNS was superior to sham in time spent in clinically meaningful benefit (categorical analyses) using the Q-LES-Q (P = 0.029), Mini-Q-LES-Q (P = 0.011), and WPAI item 6 (P = 0.039). The WHODAS 2.0 (P = 0.304) and EQ-5D visual analog scale (P = 0.125) failed to reveal between-group differences. CONCLUSION Active VNS was superior to sham VNS in improving QoL and psychosocial function in patients with TRD. VNS has a broader therapeutic impact than symptom improvement alone in patients with marked psychosocial impairment.
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Affiliation(s)
- A John Rush
- Duke-NUS Medical School, Singapore; CEO, Curbstone Consultant LLC, Dallas, TX, USA
| | - Charles R Conway
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA.
| | - Scott T Aaronson
- Institute for Advanced Diagnostics and Therapeutics, Sheppard Pratt Health System, Baltimore, MD, USA
| | - Mark S George
- Ralph H. Johnson VA Health Care System (VAHCS), Charleston, SC, USA; Medical University of South Carolina, Department of Psychiatry, Charleston, SC, USA
| | - Patricio Riva-Posse
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Emory University, Atlanta, GA, USA
| | - David L Dunner
- Center for Anxiety and Depression, Mercer Island, WA, USA
| | - John Zajecka
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA; Psychiatric Medicine Associates, LLC, Skokie, IL, USA
| | - Mark T Bunker
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - João Quevedo
- Center for Interventional Psychiatry, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA
| | | | | | | | - Ziad Nahas
- University of Minnesota, Minneapolis, MN, USA
| | - Lucian Manu
- Department of Psychiatry and Behavioral Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | | | - Brian J Mickey
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | | | - Yvette Sheline
- UPenn Perelman School of Medicine, Philadelphia, PA, USA
| | - Cristina Cusin
- Mass General Psychiatry: Depression Clinical & Research Program, Boston, MA, USA
| | | | - Kevin Reeves
- The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | | | | | - Shannon Majewski
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - Jeffrey Way
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - Bryan Olin
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - Harold A Sackeim
- Medical University of South Carolina, Department of Psychiatry, Charleston, SC, USA
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12
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Reddy S, Kabotyanski KE, Hirani S, Liu T, Naqvi Z, Giridharan N, Hasen M, Provenza NR, Banks GP, Mathew SJ, Goodman WK, Sheth SA. Efficacy of Deep Brain Stimulation for Treatment-Resistant Depression: Systematic Review and Meta-Analysis. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024; 9:1239-1248. [PMID: 39197490 DOI: 10.1016/j.bpsc.2024.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Revised: 07/26/2024] [Accepted: 08/14/2024] [Indexed: 09/01/2024]
Abstract
BACKGROUND Treatment-resistant depression affects about 30% of individuals with major depressive disorder. Deep brain stimulation is an investigational intervention for treatment-resistant depression with varied results. We undertook this meta-analysis to synthesize outcome data across trial designs, anatomical targets, and institutions to better establish efficacy and side-effect profiles. METHODS We conducted a systematic PubMed review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Seven randomized controlled trials (n = 198) and 8 open-label trials (n = 77) were included spanning 2009 to 2020. Outcome measures included Hamilton Depression Rating Scale or Montgomery-Åsberg Depression Rating Scale scores, as well as response and remission rates over time. Outcomes were tracked at the last follow-up and quantified as a time course using model-based network meta-analysis. Linear mixed models were fit to individual patient data to identify covariates. RESULTS Deep brain stimulation achieved 47% improvement in long-term depression scale scores, with an estimated time to reach 50% improvement of around 23 months. There were no significant subgroup effects of stimulation target, time of last follow-up, sex, age of disease onset, or duration of disease, but open-label trials showed significantly greater treatment effects than randomized controlled trials. Long-term (12-60 month) response and remission rates were 48% and 35%, respectively. The time course of improvement with active stimulation could not be adequately distinguished from that with sham stimulation, when available. CONCLUSIONS Deep brain stimulation produces significant chronic improvement in symptoms of treatment-resistant depression. However, the limited sham-controlled data do not demonstrate significant improvement over placebo. Future advancements in stimulation optimization and careful blinding and placebo schemes are important next steps for this therapy.
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Affiliation(s)
- Sandesh Reddy
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | | | - Samad Hirani
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Tommy Liu
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Zain Naqvi
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Nisha Giridharan
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Mohammed Hasen
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Garrett P Banks
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Sanjay J Mathew
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Wayne K Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas.
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13
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Medeiros GC, Demo I, Goes FS, Zarate CA, Gould TD. Personalized use of ketamine and esketamine for treatment-resistant depression. Transl Psychiatry 2024; 14:481. [PMID: 39613748 PMCID: PMC11607365 DOI: 10.1038/s41398-024-03180-8] [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: 11/27/2023] [Revised: 11/01/2024] [Accepted: 11/06/2024] [Indexed: 12/01/2024] Open
Abstract
A large and disproportionate portion of the burden associated with major depressive disorder (MDD) is due to treatment-resistant depression (TRD). Intravenous (R,S)-ketamine (ketamine) and intranasal (S)-ketamine (esketamine) are rapid-acting antidepressants that can effectively treat TRD. However, there is variability in response to ketamine/esketamine, and a personalized approach to their use will increase success rates in the treatment of TRD. There is a growing literature on the precision use of ketamine in TRD, and the body of evidence on esketamine is still relatively small. The identification of reliable predictors of response to ketamine/esketamine that are easily translatable to clinical practice is urgently needed. Potential clinical predictors of a robust response to ketamine include a pre-treatment positive family history of alcohol use disorder and a pre-treatment positive history of clinically significant childhood trauma. Pre-treatment versus post-treatment increases in gamma power in frontoparietal brain regions, observed in electroencephalogram (EEG) studies, is a promising brain-based biomarker of response to ketamine, given its time of onset and general applicability. Blood-based biomarkers have shown limited usefulness, with small-effect increases in brain-derived neurotrophic factor (BDNF) being the most consistent indicator of ketamine response. The severity of treatment-emergent dissociative symptoms is typically not associated with a response either to ketamine or esketamine. Future studies should ensure that biomarkers and clinical variables are obtained in a similar manner across studies to allow appropriate comparison across trials and to reduce the signal-to-noise ratio. Most predictors of response to ketamine/esketamine have modest effect sizes; therefore, the use of multivariate predictive models will be needed.
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Affiliation(s)
- Gustavo C Medeiros
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
- Advanced Depression Treatment (ADepT) Center, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Isabella Demo
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Fernando S Goes
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Carlos A Zarate
- Experimental Therapeutics & Pathophysiology Branch, Intramural Research Program, NIMH-NIH, Bethesda, MD, USA
| | - Todd D Gould
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
- Advanced Depression Treatment (ADepT) Center, University of Maryland School of Medicine, Baltimore, MD, USA
- Departments of Pharmacology and Neurobiology, University of Maryland School of Medicine, Baltimore, MD, USA
- Veterans Affairs Maryland Health Care System, Baltimore, MD, USA
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14
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Zapf L, Kaster TS, Vila-Rodriguez F, Daskalakis ZJ, Downar J, Blumberger DM. The effect of once-daily vs. twice-daily intermittent theta burst stimulation on suicidal ideation in treatment-resistant depression. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01929-2. [PMID: 39545967 DOI: 10.1007/s00406-024-01929-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 10/19/2024] [Indexed: 11/17/2024]
Abstract
Intermittent theta burst stimulation (iTBS) has demonstrated potential in reducing suicidal ideation (SI) in patients with depression, however, stimulation protocols vary greatly across studies. For this secondary analysis, data from a three-site double-blind, randomized and sham-controlled clinical trial was analyzed to investigate the efficacy of a once-daily versus twice-daily iTBS protocol in the treatment of SI in patients with treatment resistant depression. Secondarily we aimed to explore the associations among SI, anhedonia and quality of life (QOL) measures. The primary outcome for this analysis was SI, which was assessed by computing an average score from four suicidality items on separate depression scales. 158 participants who experienced some degree of SI at baseline were included in the analysis. After 10 days of treatment, 15 (18.3%) participants from the once-daily group and 19 (25%) from the twice-daily group achieved remission from SI which was defined as a SI score of 0. After 30 days of treatment the remission rates were 27 (32.9%) and 30 (39.5%), respectively. There were no significant differences in remission rates between the groups. Moderate correlations between change in SI and change in depressive symptoms were observed. In addition, correlations between change in SI, anhedonia and QOL were observed that remained significant after controlling for change in depressive symptoms. Achieving remission from SI appears to be at least partially correlated to the anti-depressant effect of iTBS. Further studies investigating optimal treatment protocols for the treatment of suicidality with different iTBS schedules are urgently needed. Trial registration Clinicaltrials.gov ID: NCT02729792 ( https://clinicaltrials.gov/ct2/show/NCT02729792 ).
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Affiliation(s)
- Lorina Zapf
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, 1025 Queen St. W., Room B1-2107, Toronto, ON, M6J1H4, Canada
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, 6229 ER, The Netherlands
| | - Tyler S Kaster
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, 1025 Queen St. W., Room B1-2107, Toronto, ON, M6J1H4, Canada
- Department of Psychiatry and Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, M5S 1A8, Canada
| | - Fidel Vila-Rodriguez
- Department of Psychiatry, University of British Columbia, Vancouver, V6T 2A1, Canada
| | - Zafiris J Daskalakis
- Department of Psychiatry, University of California San Diego, San Diego, CA, 92093, USA
| | - Jonathan Downar
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, 1025 Queen St. W., Room B1-2107, Toronto, ON, M6J1H4, Canada
- Department of Psychiatry and Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, M5S 1A8, Canada
| | - Daniel M Blumberger
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, 1025 Queen St. W., Room B1-2107, Toronto, ON, M6J1H4, Canada.
- Department of Psychiatry and Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, M5S 1A8, Canada.
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15
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Nobile B, Gourguechon-Buot E, Malestroit M, Olié E, Haffen E, Gorwood P, Courtet P. Does depression with current suicidal ideation lead to treatment-resistant depression? Two large naturalistic cohorts of outpatients with depression and current suicidal ideation. Psychiatry Res 2024; 342:116249. [PMID: 39488946 DOI: 10.1016/j.psychres.2024.116249] [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: 05/16/2024] [Revised: 10/21/2024] [Accepted: 10/25/2024] [Indexed: 11/05/2024]
Abstract
As treatment-resistant depression (TRD) is linked to suicidal behaviors and suicidal risk is a predictor of TRD, depression with current suicidal ideation (SI) may lead to TRD. Early identification of TRD risk factors in patients with depression and current SI is crucial. The aims of our study were: i) to identify risk factors for depression non-remission and TRD in patients with depression and current SI; ii) to assess if SI at baseline mediated the relationship between depression severity at baseline and depression remission at week 6. We analyzed data from two large, prospective, naturalistic French cohorts of adult outpatients with depression (DSM-IV criteria) followed for 6 weeks after starting or changing antidepressants (LUEUR and GENESE). Sociodemographic and clinical characteristics, along with early symptom improvement, were compared between patients with and without current SI using logistic regression models (univariate and multivariate). Patients with antidepressant change or initiation were analyzed separately. Those without depression remission at week 6 after an antidepressant change were considered TRD cases. In patients with antidepressant change, the major predictor of non-remission was poorer early improvement (at week 2) of anxiety. For patients with treatment initiation, SI at baseline mediated the relation between depression severity at baseline and depression remission. Depression severity at baseline alone did not explain depression remission. Clinicians should systematically target with specific pharmacological and non-pharmacological treatments anxiety and SI and assess their changes in the short term to increase the chance of depression remission in depressed patients with current SI.
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Affiliation(s)
- Bénédicte Nobile
- Department of Emergency Psychiatry and Post-Acute Care, CHU, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France.
| | - Elia Gourguechon-Buot
- Department of Emergency Psychiatry and Post-Acute Care, CHU, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
| | - Manon Malestroit
- Department of Emergency Psychiatry and Post-Acute Care, CHU, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
| | - Emilie Olié
- Department of Emergency Psychiatry and Post-Acute Care, CHU, Montpellier, France; IGF, Univ. Montpellier, CNRS, INSERM, Montpellier, France
| | - Emmanuel Haffen
- Service de Psychiatrie de l'Adulte, CIC-1431 INSERM, CHU de Besançon, Laboratoire de Neurosciences, Université de Franche-Comté, UBFC, France
| | - Philip Gorwood
- Inserm UMRS1266, Institute of Psychiatry and Neuroscience of Paris, Paris, France
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16
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Calagua-Bedoya EA, Rajasekaran V, De Witte L, Perez-Rodriguez MM. The Role of Inflammation in Depression and Beyond: A Primer for Clinicians. Curr Psychiatry Rep 2024; 26:514-529. [PMID: 39187612 DOI: 10.1007/s11920-024-01526-z] [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] [Accepted: 08/13/2024] [Indexed: 08/28/2024]
Abstract
PURPOSE OF REVIEW We evaluate available evidence for the role of inflammation in depression. We reappraise literature involving systemic inflammation, neuroinflammation and neurotransmission and their association with depression. We review the connection between depression, autoimmunity and infectious diseases. We revise anti-inflammatory treatments used in depression. RECENT FINDINGS Peripheral inflammatory markers are present in a subset of patients with depression and can alter common neurotransmitters in this population but there is no clear causality between depression and systemic inflammation. Infectious conditions and autoimmune illnesses do not have a clear correlation with depression. Certain medications have positive evidence as adjunctive treatments in depression but studies are heterogenic, hence they are sparsely used in clinical settings. The current evidence does not fully support inflammation, infections or autoimmunity as possible etiologies of depression. The available studies have numerous confounders that obscure the findings. Anti-inflammatory agents may have potential for treatment of depression, but further research is needed to clarify their usefulness in routine clinical practice.
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Affiliation(s)
- Eduardo Andres Calagua-Bedoya
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, NH, USA.
- Dartmouth Hitchcock Medical Center, Lebanon, NH, 03766, USA.
| | | | - Lotje De Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
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17
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Pham TTH, Wu CY, Lee MB, Nguyen VT, Pham TTH, Dang TT, Vu ST, Nguyen TS. Suicidality Trajectory, Hopelessness, Resilience, and Self-Efficacy Among Patients With Treatment-Resistant Depression in Vietnam. J Nurs Res 2024; 32:e350. [PMID: 39514778 DOI: 10.1097/jnr.0000000000000630] [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: 11/16/2024] Open
Abstract
BACKGROUND Patients with treatment-resistant depression (TRD) have higher rates of suicidal ideation and a higher suicide attempt prevalence than patients with other types of depression. PURPOSE This study was designed to study the suicidality trajectory and relationships between hopelessness, resilient coping, and self-efficacy, respectively, and suicidal ideation and suicide attempts in patients with TRD during hospitalization and at 3 months after discharge. METHODS A longitudinal survey of 53 psychiatric inpatients with TRD was conducted. Suicidality, hopelessness, resilient coping, self-reported medication adherence, and self-efficacy were assessed at Weeks 1 and 2 (T0 and T1) after hospitalization and Week 1 and Months 1 and 3 after discharge. Data were analyzed using a Cox regression model. RESULTS Suicidality varied across the five time points, with a downward trend observed between T0 and T1 (reflecting the initial effects of inpatient treatment) and an upward trend observed across the 3-month follow-up. Antidepressant overdose was the most common method used for suicide. The risk of high suicidal ideation during follow-up was 1.63, 2.63, and 1.14 times higher, respectively, in participants with a high level of hopelessness, low level of resilient coping, and low self-efficacy. Also, having a higher level of hopelessness and being younger in age increased the risk of attempting suicide by 3.07 times and over 6 times, respectively, compared to older participants. CONCLUSIONS/IMPLICATION FOR PRACTICE Suicidality was shown to fluctuate between the in-hospital treatment phase and the first 3 months following discharge in this sample of patients with TRD. Younger age, feelings of hopelessness, low resilience, and low self-efficacy were the top four factors contributing to postdischarge suicide risk. These findings highlight the need for regular patient monitoring and assessment to identify those with TRD who are at high risk of suicide as well as the importance of focusing on hopelessness, resilience, and self-efficacy as predictors of suicide ideation and attempts. Nurses should help patients with TRD, especially those who are younger, and improve and maintain their hope, resilience, and self-efficacy both during hospitalization and shortly after discharge.
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Affiliation(s)
- Thi Thu Huong Pham
- PhD, RN, Senior Lecturer, Faculty of Nursing and Midwifery, Hanoi Medical University, Vietnam
| | | | - Ming-Been Lee
- MD, Professor, Department of Psychiatry, Shin-Kon Wu Ho Su Memorial Hospital, Taipei City, Taiwan
| | - Van Tuan Nguyen
- PhD, MD, Associate Professor, Department of Psychiatry, Hanoi Medical University; and Director, National Institute of Mental Health, Bach Mai Hospital, Hanoi, Vietnam
| | - Thi Thu Hien Pham
- MSHM, RN, Head Nurse, National Institute of Mental Health, Bach Mai Hospital, Hanoi, Vietnam
| | - Thanh Tung Dang
- MS, Head of Administration Department, National Institute of Mental Health, Bach Mai Hospital, Hanoi, Vietnam
| | - Son Tung Vu
- MD, Doctoral Candidate, Psychiatrist, National Institute of Mental Health, Bach Mai Hospital, Hanoi, Vietnam
| | - Thi Son Nguyen
- PhD, RN, Senior Lecturer, Faculty of Nursing and Midwifery, Hanoi Medical University, Vietnam; and Nurse, Department of Nursing, Hanoi Medical University Hospital, Vietnam
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Lapa JDS, Duarte JFS, Campos ACP, Davidson B, Nestor SM, Rabin JS, Giacobbe P, Lipsman N, Hamani C. Adverse Effects of Deep Brain Stimulation for Treatment-Resistant Depression: A Scoping Review. Neurosurgery 2024; 95:509-516. [PMID: 38511957 DOI: 10.1227/neu.0000000000002910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 01/24/2024] [Indexed: 03/22/2024] Open
Abstract
Deep brain stimulation (DBS) is an emerging therapy for treatment-resistant depression (TRD). Although adverse effects have been reported in early-phase and a few randomized clinical trials, little is known about its overall safety profile, which has been assumed to be similar to that of DBS for movement disorders. The objective of this study was to pool existing safety data on DBS for TRD. Following PRISMA guidelines, PubMed was searched for English articles describing adverse outcomes after DBS for TRD. Studies were included if they reported at least 5 patients with a minimal follow-up of 6 months. After abstract (n = 607) and full-article review (n = 127), 28 articles reporting on 353 patients met criteria for final inclusion. Follow-up of the studies retrieved ranged from 12 to 96 months. Hemorrhages occurred in 0.8% of patients and infections in 10.2%. The rate of completed suicide was 2.5%. Development or worsening of depressive symptoms, anxiety, and mania occurred in 18.4%, 9.1%, and 5.1%, respectively. There were some differences between targets, but between-study heterogeneity precluded statistical comparisons. In conclusion, DBS for TRD is associated with surgical and psychiatric adverse events. Hemorrhage and infection occur at rates within an accepted range for other DBS applications. The risk of suicide after DBS for TRD is 2.5% but may not represent a significant deviation from the natural history of TRD. Finally, risks of worsening depression, anxiety, and the incidence of mania should be acknowledged when considering DBS for TRD.
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Affiliation(s)
- Jorge D S Lapa
- Department of Medicine, Federal University of Sergipe, Aracaju , Sergipe , Brazil
- Department Neurosurgery, Hospital de Cirurgia, Aracaju , Sergipe , Brazil
| | - Joel F S Duarte
- Department Neurosurgery, Neurological Institute of Curitiba, Curitiba , Brazil
| | | | - Benjamin Davidson
- Sunnybrook Research Institute, Toronto , Canada
- Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto , Canada
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Canada
| | - Sean M Nestor
- Sunnybrook Research Institute, Toronto , Canada
- Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto , Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Canada
| | - Jennifer S Rabin
- Sunnybrook Research Institute, Toronto , Canada
- Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto , Canada
- Rehabilitation Sciences Institute, University of Toronto, Toronto , Canada
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Canada
| | - Peter Giacobbe
- Sunnybrook Research Institute, Toronto , Canada
- Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto , Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Canada
| | - Nir Lipsman
- Sunnybrook Research Institute, Toronto , Canada
- Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto , Canada
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Canada
| | - Clement Hamani
- Sunnybrook Research Institute, Toronto , Canada
- Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto , Canada
- Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto , Canada
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19
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Liu Y, Yin J, Li X, Yang J, Liu Y. Examining the connection between weekend catch-up sleep and depression: Insights from 2017 to 2020 NHANES information. J Affect Disord 2024; 358:61-69. [PMID: 38705524 DOI: 10.1016/j.jad.2024.05.022] [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: 01/28/2024] [Revised: 04/07/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Depression, a prevalent mental disorder, has shown an increasing trend in recent years, imposing a significant burden on health and society. Adequate sleep has been proven to reduce the incidence of depression. This study seeks to explore how Weekend Catch-up Sleep (WCS) is connected with the prevalence of depression in the American population. METHODS The National Health and Nutrition Examination Survey (NHANES) provides representative data for the U.S. POPULATION We utilized data from the 2017-2018 and 2019-2020 cycles. Depression was operationally defined as a PHQ-9 score exceeding 10. WCS duration was categorized into five groups: no change in sleep duration (=0 h), decreased sleep duration (<0), short catch-up sleep duration (>0 h, ≤1 h), moderate catch-up sleep duration (>1 h, <2 h), and long catch-up sleep duration (≥2 h). RESULTS Among the 8039 individuals, the distribution of WCS duration was as follows: no change (WCS = 0 h) in 2999 individuals (37.3 %), decreased sleep (WCS < 0 h) in 1199 individuals (14.9 %), short catch-up sleep (0 h < WCS ≤ 1 h) in 1602 individuals (19.9 %), moderate catch-up sleep (1 h < WCS < 2 h) in 479 individuals (6.0 %), and long catch-up sleep (WCS ≥ 2 h) in 1760 individuals (21.9 %). Acting by adjustment for all covariates in a multiple regression analysis, we discovered that persons with 1 to 2 h of weekend catch-up sleep had a substantially low prevalence of depression concerning those with WCS = 0 (OR 0.22, 95 % CI 0.08-0.59, P = 0.007). CONCLUSION The prevalence of depression in individuals engaging in weekend catch-up sleep for 1 to 2 h is lower than those who do not catch up on weekends. This discovery on the treatment and prevention of depression provides a new perspective. However, further prospective research and clinical trials are needed for a comprehensive investigation.
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Affiliation(s)
- Yecun Liu
- College of First Clinical Medical, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiahui Yin
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xuhao Li
- College of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiguo Yang
- College of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
| | - Yuanxiang Liu
- Department of Neurology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, China.
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20
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Beer C, Rae F, Semmler A, Voisey J. Biomarkers in the Diagnosis and Prediction of Medication Response in Depression and the Role of Nutraceuticals. Int J Mol Sci 2024; 25:7992. [PMID: 39063234 PMCID: PMC11277518 DOI: 10.3390/ijms25147992] [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: 06/28/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
Depression continues to be a significant and growing public health concern. In clinical practice, it involves a clinical diagnosis. There is currently no defined or agreed upon biomarker/s for depression that can be readily tested. A biomarker is defined as a biological indicator of normal physiological processes, pathogenic processes, or pharmacological responses to a therapeutic intervention that can be objectively measured and evaluated. Thus, as there is no such marker for depression, there is no objective measure of depression in clinical practice. The discovery of such a biomarker/s would greatly assist clinical practice and potentially lead to an earlier diagnosis of depression and therefore treatment. A biomarker for depression may also assist in determining response to medication. This is of particular importance as not all patients prescribed with medication will respond, which is referred to as medication resistance. The advent of pharmacogenomics in recent years holds promise to target treatment in depression, particularly in cases of medication resistance. The role of pharmacogenomics in routine depression management within clinical practice remains to be fully established. Equally so, the use of pharmaceutical grade nutrients known as nutraceuticals in the treatment of depression in the clinical practice setting is largely unknown, albeit frequently self-prescribed by patients. Whether nutraceuticals have a role in not only depression treatment but also in potentially modifying the biomarkers of depression has yet to be proven. The aim of this review is to highlight the potential biomarkers for the diagnosis, prediction, and medication response of depression.
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Affiliation(s)
- Cristina Beer
- Centre for Genomics and Personalised Health, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia; (C.B.); (F.R.)
| | - Fiona Rae
- Centre for Genomics and Personalised Health, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia; (C.B.); (F.R.)
| | - Annalese Semmler
- School of Clinical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia;
| | - Joanne Voisey
- Centre for Genomics and Personalised Health, School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD 4059, Australia; (C.B.); (F.R.)
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21
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Xu B, Forthman KL, Kuplicki R, Ahern J, Loughnan R, Naber F, Thompson WK, Nemeroff CB, Paulus MP, Fan CC. Genetic Correlates of Treatment-Resistant Depression: Insights from Polygenic Scores Across Cognitive, Temperamental, and Sleep Traits in the All of US cohort. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.03.24309914. [PMID: 39006419 PMCID: PMC11245070 DOI: 10.1101/2024.07.03.24309914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Background Treatment-resistant depression (TRD) is a major challenge in mental health, affecting a significant number of patients and leading to considerable economic and social burdens. The etiological factors contributing to TRD are complex and not fully understood. Objective To investigate the genetic factors associated with TRD using polygenic scores (PGS) across various traits, and to explore their potential role in the etiology of TRD using large-scale genomic data from the All of Us Research Program (AoU). Methods Data from 292,663 participants in the AoU were analyzed using a case-cohort design. Treatment resistant depression (TRD), treatment responsive Major Depressive Disorder (trMDD), and all others who have no formal diagnosis of Major Depressive Disorder (non-MDD) were identified through diagnostic codes and prescription patterns. Polygenic scores (PGS) for 61 unique traits from seven domains were used and logistic regressions were conducted to assess associations between PGS and TRD. Finally, Cox proportional hazard models were used to explore the predictive value of PGS for progression rate from the diagnostic event of Major Depressive Disorder (MDD) to TRD. Results In the discovery set (104128 non-MDD, 16640 trMDD, and 4177 TRD), 44 of 61 selected PGS were found to be significantly associated with MDD, regardless of treatment responsiveness. Eleven of them were found to have stronger associations with TRD than with trMDD, encompassing PGS from domains in education, cognition, personality, sleep, and temperament. Genetic predisposition for insomnia and specific neuroticism traits were associated with increased TRD risk (OR range from 1.05 to 1.15), while higher education and intelligence scores were protective (ORs 0.88 and 0.91, respectively). These associations are consistent across two other independent sets within AoU (n = 104,388 and 63,330). Among 28,964 individuals tracked over time, 3,854 developed TRD within an average of 944 days (95% CI: 883 ~ 992 days) after MDD diagnosis. All eleven previously identified and replicated PGS were found to be modulating the conversion rate from MDD to TRD. Thus, those having higher education PGS would experiencing slower conversion rates than those who have lower education PGS with hazard ratios in 0.79 (80th versus 20th percentile, 95% CI: 0.74 ~ 0.85). Those who had higher insomnia PGS experience faster conversion rates than those who had lower insomnia PGS, with hazard ratios in 1.21 (80th versus 20th percentile, 95% CI: 1.13 ~ 1.30). Conclusions Our results indicate that genetic predisposition related to neuroticism, cognitive function, and sleep patterns play a significant role in the development of TRD. These findings underscore the importance of considering genetic and psychosocial factors in managing and treating TRD. Future research should focus on integrating genetic data with clinical outcomes to enhance our understanding of pathways leading to treatment resistance.
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Affiliation(s)
- Bohan Xu
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
| | | | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
| | - Jonathan Ahern
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Center for Human Development, University of California, San Diego, La Jolla, California, USA
| | - Robert Loughnan
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Center for Human Development, University of California, San Diego, La Jolla, California, USA
| | - Firas Naber
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
| | - Wesley K. Thompson
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Division of Biostatistics and Bioinformatics, the Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Charles B. Nemeroff
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA
| | - Martin P. Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Department of Psychiatry, University of California, San Diego, La Jolla, California, USA
| | - Chun Chieh Fan
- Population Neuroscience and Genetics Center, Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
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22
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Liu Y, Yang J, Liu Y. Ketamine and electroconvulsive therapy for severe depression: A network meta-analysis of efficacy and safety. J Psychiatr Res 2024; 175:218-226. [PMID: 38744161 DOI: 10.1016/j.jpsychires.2024.05.022] [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: 12/20/2023] [Revised: 04/21/2024] [Accepted: 05/08/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Ketamine, electroconvulsive therapy (ECT), and their combination are effective for treating severe depression, but few large-scale studies have compared these. METHODS We searched databases for randomized controlled trials (RCTs) using ketamine, ECT, ketamine + ECT, or placebo for severe depression. Standardized measures were efficacy outcomes. Risk of bias was assessed. Stata and ADDIS were used for network meta-analysis (NMA) comparing efficacy and adverse reactions post-treatment. This study was registered on PROSPERO (CRD42023476740). RESULTS 17 RCTs with 1370 patients were included. NMA showed ECT and ketamine improved Hamilton Depression Rating Scale (HDRS) versus placebo; other comparisons not significant. Rank probabilities showed highest probability for ECT, followed by ketamine + ECT, ketamine, placebo. No differences in Montgomery-Asberg Depression Rating Scale (MADRS); highest rank probability again for ECT, followed by ketamine + ECT, ketamine, placebo. CONCLUSIONS Analysis suggests ECT superior to ketamine and their combination for improving depressive severity, but individualized treatment selection warranted. Higher adverse reactions with ketamine + ECT need further study for optimized combined use.
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Affiliation(s)
- Yecun Liu
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiguo Yang
- School of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
| | - Yuanxiang Liu
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
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23
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Kang J, Castro VM, Ripperger M, Venkatesh S, Burstein D, Linnér RK, Rocha DB, Hu Y, Wilimitis D, Morley T, Han L, Kim RY, Feng YCA, Ge T, Heckers S, Voloudakis G, Chabris C, Roussos P, McCoy TH, Walsh CG, Perlis RH, Ruderfer DM. Genome-Wide Association Study of Treatment-Resistant Depression: Shared Biology With Metabolic Traits. Am J Psychiatry 2024; 181:608-619. [PMID: 38745458 DOI: 10.1176/appi.ajp.20230247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
OBJECTIVE Treatment-resistant depression (TRD) occurs in roughly one-third of all individuals with major depressive disorder (MDD). Although research has suggested a significant common variant genetic component of liability to TRD, with heritability estimated at 8% when compared with non-treatment-resistant MDD, no replicated genetic loci have been identified, and the genetic architecture of TRD remains unclear. A key barrier to this work has been the paucity of adequately powered cohorts for investigation, largely because of the challenge in prospectively investigating this phenotype. The objective of this study was to perform a well-powered genetic study of TRD. METHODS Using receipt of electroconvulsive therapy (ECT) as a surrogate for TRD, the authors applied standard machine learning methods to electronic health record data to derive predicted probabilities of receiving ECT. These probabilities were then applied as a quantitative trait in a genome-wide association study of 154,433 genotyped patients across four large biobanks. RESULTS Heritability estimates ranged from 2% to 4.2%, and significant genetic overlap was observed with cognition, attention deficit hyperactivity disorder, schizophrenia, alcohol and smoking traits, and body mass index. Two genome-wide significant loci were identified, both previously implicated in metabolic traits, suggesting shared biology and potential pharmacological implications. CONCLUSIONS This work provides support for the utility of estimation of disease probability for genomic investigation and provides insights into the genetic architecture and biology of TRD.
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Affiliation(s)
- JooEun Kang
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Victor M Castro
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Michael Ripperger
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Sanan Venkatesh
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - David Burstein
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Richard Karlsson Linnér
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Daniel B Rocha
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Yirui Hu
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Drew Wilimitis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Theodore Morley
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Lide Han
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Rachel Youngjung Kim
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Yen-Chen Anne Feng
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Tian Ge
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Stephan Heckers
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Georgios Voloudakis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Christopher Chabris
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Panos Roussos
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Thomas H McCoy
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Colin G Walsh
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Roy H Perlis
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
| | - Douglas M Ruderfer
- Division of Genetic Medicine, Department of Medicine, and Vanderbilt Genetics Institute (Kang, Morley, Han, Ruderfer), Department of Psychiatry (Castro, Kim, Ge, McCoy, Perlis) and Center for Quantitative Health (Castro, Kim, McCoy, Perlis), Massachusetts General Hospital, Boston; Research Information Science and Computing, Mass General Brigham, Somerville, Mass. (Castro); Department of Psychiatry, Center for Disease Neurogenomics, Friedman Brain Institute, Department of Genetics and Genomic Sciences, Icahn Institute for Data Science and Genomic Technology, and Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York (Venkatesh, Burstein, Voloudakis, Roussos); Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, N.Y. (Venkatesh, Burstein, Voloudakis, Roussos); Autism and Developmental Medicine Institute, Geisinger, Lewisburg, Pa. (Linnér, Chabris); Department of Economics, Leiden University, Leiden, the Netherlands (Linnér); Phenomic Analytics and Clinical Data Core (Rocha) and Population Health Sciences (Hu), Geisinger, Danville, Pa.; Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei (Feng)
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24
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Zhao H, Jiang C, Zhao M, Ye Y, Yu L, Li Y, Luan H, Zhang S, Xu P, Chen X, Pan F, Shang D, Hu X, Jin K, Chen J, Mou T, Hu S, Fitzgibbon BM, Fitzgerald PB, Cash RFH, Che X, Huang M. Comparisons of Accelerated Continuous and Intermittent Theta Burst Stimulation for Treatment-Resistant Depression and Suicidal Ideation. Biol Psychiatry 2024; 96:26-33. [PMID: 38142717 DOI: 10.1016/j.biopsych.2023.12.013] [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: 06/29/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 12/26/2023]
Abstract
BACKGROUND Suicidal ideation is a substantial clinical challenge in treatment-resistant depression (TRD). Recent work demonstrated promising antidepressant effects in TRD patients with no or mild suicidal ideation using a specific protocol termed intermittent theta burst stimulation (iTBS). Here, we examined the clinical effects of accelerated schedules of iTBS and continuous TBS (cTBS) in patients with moderate to severe suicidal ideation. METHODS Patients with TRD and moderate to severe suicidal ideation (n = 44) were randomly assigned to receive accelerated iTBS or cTBS treatment. Treatments were delivered in 10 daily TBS sessions (1800 pulses/session) for 5 consecutive days (total of 90,000 pulses). Neuronavigation was employed to target accelerated iTBS and cTBS to the left and right dorsolateral prefrontal cortex (DLPFC), respectively. Clinical outcomes were evaluated in a 4-week follow-up period. RESULTS Accelerated cTBS was superior to iTBS in the management of suicidal ideation (pweek 1 = .027) and anxiety symptoms (pweek 1 = .01). Accelerated iTBS and cTBS were comparable in antidepressant effects (p < .001; accelerated cTBS: mean change at weeks 1, 3, 5 = 49.55%, 54.99%, 53.11%; accelerated iTBS: mean change at weeks 1, 3, 5 = 44.52%, 48.04%, 51.74%). No serious adverse events occurred during the trial. One patient withdrew due to hypomania. The most common adverse event was discomfort at the treatment site (22.73% in both groups). CONCLUSIONS These findings provide the first evidence that accelerated schedules of left DLPFC iTBS and right DLPFC cTBS are comparably effective in managing antidepressant symptoms and indicate that right DLPFC cTBS is potentially superior in reducing suicidal ideation and anxiety symptoms.
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Affiliation(s)
- Haoyang Zhao
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Chaonan Jiang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Miaomiao Zhao
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Yang Ye
- Centre for Cognition and Brain Disorders, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China; TMS Centre, Deqing Hospital of Hangzhou Normal University, Hangzhou, China
| | - Liang Yu
- Department of Anesthesiology and Pain, Hang Zhou First People's Hospital, Hangzhou, China
| | - Ying Li
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Honglin Luan
- Department of Psychiatry, Wen Zhou Seventh People's Hospital, Wenzhou, China
| | - Shiyi Zhang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Pengfeng Xu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Xuanqiang Chen
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Fen Pan
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Desheng Shang
- Department of Radiology, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaohan Hu
- Department of Psychiatry, Wen Zhou Seventh People's Hospital, Wenzhou, China
| | - Kangyu Jin
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Jingkai Chen
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Tingting Mou
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Shaohua Hu
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China
| | - Bernadette M Fitzgibbon
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; School of Medicine and Psychology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Robin F H Cash
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia; Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia
| | - Xianwei Che
- Centre for Cognition and Brain Disorders, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China; TMS Centre, Deqing Hospital of Hangzhou Normal University, Hangzhou, China.
| | - Manli Huang
- Department of Psychiatry, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory of Mental Disorder Management in Zhejiang Province, Hangzhou, China; Brain Research Institute of Zhejiang University, Hangzhou, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, China.
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25
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Hoptman MJ, Evans KT, Parincu Z, Sparpana AM, Sullivan EF, Ahmed AO, Iosifescu DV. Emotion-related impulsivity and suicidal ideation and behavior in schizophrenia spectrum disorder: a pilot fMRI study. Front Psychiatry 2024; 15:1408083. [PMID: 38988737 PMCID: PMC11234166 DOI: 10.3389/fpsyt.2024.1408083] [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: 03/27/2024] [Accepted: 06/11/2024] [Indexed: 07/12/2024] Open
Abstract
Introduction Suicidal ideation and behavior (SIB) are serious problems in people with schizophrenia spectrum disorders (SSD). Nevertheless, relatively little is known about the circuitry underlying SIB in SSD. Recently, we showed that elevated emotional impulsivity (urgency) was associated with SIB in SSD. Here we examined brain activity in people with SSD and elevated SIB. Methods We tested 16 people with SSD who had low SIB and 14 people with high SIB on a task in which emotion regulation in response to affective pictures was implicitly manipulated using spoken sentences. Thus, there were neutral pictures preceded by neutral statements (NeutNeut condition), as well as negative pictures preceded by either negative (NegNeg) or neutral (NeutNeg) statements. After each picture, participants rated how unpleasant each picture was for them. The latter two conditions were compared to the NeutNeut condition. We compared the emotion-regulated condition (NeutNeg) to the unregulated condition (NeutNeut). Statistics were threshold using threshold free cluster enhancement (TFCE). Results People in the low SIB group showed higher activation in this contrast in medial frontal gyrus, right rostral anterior cingulate, bilateral superior frontal gyrus/DLPFC, and right middle cingulate gyrus, as well as right superior temporal gyrus. Discussion This study provides clues to the neural basis of SIB in SSD as well as underlying mechanisms.
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Affiliation(s)
- Matthew J Hoptman
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Kathryn T Evans
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Zamfira Parincu
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
| | - Allison M Sparpana
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Elizabeth F Sullivan
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
| | - Anthony O Ahmed
- Department of Psychiatry, Weill Cornell Medicine, White Plains, NY, United States
| | - Dan V Iosifescu
- Division of Clinical Research, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States
- Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States
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26
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Liu R, Liu C, Feng D, Guo T, Wang Y. Pharmacovigilance of esketamine nasal spray: an analysis of the FDA adverse event reporting system database. Front Pharmacol 2024; 15:1414703. [PMID: 38948465 PMCID: PMC11211360 DOI: 10.3389/fphar.2024.1414703] [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: 04/09/2024] [Accepted: 05/20/2024] [Indexed: 07/02/2024] Open
Abstract
Esketamine nasal spray (ESK-NS) is a new drug for treatment-resistant depression, and we aimed to detect and characterize the adverse events (AEs) of ESK-NS using the Food and Drug Administration (FDA) adverse event reporting system (FAERS) database between 2019 Q1 and 2023 Q4. Reporting odds ratio (ROR), proportional reporting ratio (PRR), and multi-item gamma Poisson shrinker (MGPS) were performed to detect risk signals from the FAERS data to identify potential ESK-NS-AEs associations. A total of 14,606 reports on AEs with ESK-NS as the primary suspected drug were analyzed. A total of 518 preferred terms signals and 25 system organ classes mainly concentrated in psychiatric disorders (33.20%), nervous system disorders (16.67%), general disorders and administration site conditions (14.21%), and others were obtained. Notably, dissociation (n = 1,093, ROR 2,257.80, PRR 899.64, EBGM 876.86) exhibited highest occurrence rates and signal intensity. Moreover, uncommon but significantly strong AEs signals, such as hand-eye coordination impaired, feeling guilty, and feelings of worthlessness, were observed. Additionally, dissociative disorder (n = 57, ROR 510.92, PRR 506.70, EBGM 386.60) and sedation (n = 688, ROR 172.68, PRR 155.53, and EBGM 142.05) both presented strong AE signals, and the former is not recorded in the Summary of Product Characteristics (SmPC). In clinical applications, close attention should be paid to the psychiatric disorders and nervous system disorders, especially dissociation. Meanwhile, clinical professionals should be alert for the occurrence of AEs signals not mentioned in the SmPC and take preventive measures to ensure the safety of clinical use.
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Affiliation(s)
| | | | | | | | - Ying Wang
- Tianjin Anding Hospital, Tianjin, China
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27
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Remore LG, Tolossa M, Wei W, Karnib M, Tsolaki E, Rifi Z, Bari AA. Deep Brain Stimulation of the Medial Forebrain Bundle for Treatment-Resistant Depression: A Systematic Review Focused on the Long-Term Antidepressive Effect. Neuromodulation 2024; 27:690-700. [PMID: 37115122 DOI: 10.1016/j.neurom.2023.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 03/11/2023] [Accepted: 03/20/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVE Major depression affects millions of people worldwide and has important social and economic consequences. Since up to 30% of patients do not respond to several lines of antidepressive drugs, deep brain stimulation (DBS) has been evaluated for the management of treatment-resistant depression (TRD). The superolateral branch of the medial forebrain bundle (slMFB) appears as a "hypothesis-driven target" because of its role in the reward-seeking system, which is dysfunctional in depression. Although initial results of slMFB-DBS from open-label studies were promising and characterized by a rapid clinical response, long-term outcomes of neurostimulation for TRD deserve particular attention. Therefore, we performed a systematic review focused on the long-term outcome of slMFB-DBS. MATERIALS AND METHODS A literature search using Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria was conducted to identify all studies reporting changes in depression scores after one-year follow-up and beyond. Patient, disease, surgical, and outcome data were extracted for statistical analysis. The Montgomery-Åsberg Depression Rating Scale (ΔMADRS) was used as the clinical outcome, defined as percentage reduction from baseline to follow-up evaluation. Responders' and remitters' rates were also calculated. RESULTS From 56 studies screened for review, six studies comprising 34 patients met the inclusion criteria and were analyzed. After one year of active stimulation, ΔMADRS was 60.7% ± 4%; responders' and remitters' rates were 83.8% and 61.5%, respectively. At the last follow-up, four to five years after the implantation, ΔMADRS reached 74.7% ± 4.6%. The most common side effects were stimulation related and reversible with parameter adjustments. CONCLUSIONS slMFB-DBS appears to have a strong antidepressive effect that increases over the years. Nevertheless, to date, the overall number of patients receiving implantations is limited, and the slMFB-DBS surgical technique seems to have an important impact on the clinical outcome. Further multicentric studies in a larger population are needed to confirm slMFB-DBS clinical outcomes.
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Affiliation(s)
- Luigi Gianmaria Remore
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA; University of Milan "La Statale," Milan, Italy.
| | - Meskerem Tolossa
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Wexin Wei
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Evangelia Tsolaki
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Ziad Rifi
- University of California Los Angeles, Los Angeles, CA, USA
| | - Ausaf Ahmad Bari
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA; David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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Di Vincenzo M, Martiadis V, Della Rocca B, Arsenio E, D’Arpa A, Volpicelli A, Luciano M, Sampogna G, Fiorillo A. Facts and myths about use of esketamine for treatment-resistant depression: a narrative clinical review. Front Psychiatry 2024; 15:1394787. [PMID: 38812489 PMCID: PMC11133709 DOI: 10.3389/fpsyt.2024.1394787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 04/22/2024] [Indexed: 05/31/2024] Open
Abstract
Introduction and aims Treatment-resistant depression (TRD) occurs when at least two different antidepressants, taken at the right dosage, for adequate period of time and with continuity, fail to give positive clinical effects. Esketamine, the S-enantiomer of ketamine, was recently approved for TRD treatment from U.S. Food and Drug Administration and European Medicine Agency. Despite proved clinical efficacy, many misconceptions by clinicians and patients accompany this medication. We aimed to review the most common "false myths" regarding TRD and esketemine, counterarguing with evidence-based facts. Methods The keywords "esketamine", "treatment resistance depression", "depression", "myth", "mythology", "pharmacological treatment", and "misunderstanding" were entered in the main databases and combined through Boolean operators. Results Misconceptions regarding the TRD prevalence, clinical features and predictors have been found. With respect of esketamine, criteria to start treatment, dissociative symptoms, potential addiction and aspects of administration and monitoring, were found to be affected by false beliefs by clinicians and patients. Discussion and conclusion TRD represents a challenging condition, requiring precise diagnosis in order to achieve patient's full recovery. Esketamine has been proved as an effective medication to treat TRD, although it requires precautions. Evidence can inform clinical practice, in order to offer this innovative treatment to all patients with TRD.
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Affiliation(s)
- Matteo Di Vincenzo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Vassilis Martiadis
- Department of Mental Health, Community Mental Health Center DS 25, Azienda Sanitaria Locale Napoli 1 Centro, Naples, Italy
| | - Bianca Della Rocca
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Eleonora Arsenio
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Andrea D’Arpa
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Antonio Volpicelli
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Mario Luciano
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Gaia Sampogna
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Andrea Fiorillo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
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Baune BT, Fromme SE, Kiebs M, Hurlemann R. [Clinical management of treatment-resistant depression]. DER NERVENARZT 2024; 95:416-422. [PMID: 38568318 DOI: 10.1007/s00115-024-01647-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/27/2024] [Indexed: 05/04/2024]
Abstract
Treatment-resistant depression (TRD) is a complex disorder. Although no standardized definition has been established to date, there are promising and well-established treatment options for the condition. Looking at the current pharmacological and neuromodulatory strategies, there is an urgent need for fast-acting and well-tolerated treatment options. The search for new mechanisms of action goes beyond the monoamine hypothesis. For example, esketamine is already an established treatment method that is fast-acting and well tolerated, while psychedelics or esmethadone are currently still undergoing clinical trials. Compounds that can be used off-label, such as dextromethorphan or anti-inflammatory strategies are also presented. Pharmacological approaches that focus on the modulation of the glutamatergic system or belong to the class of psychedelics, appear to be of particular importance for current research and development. These particularly include substances that rapidly exert clinical effects and have a favorable side-effect profile.
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Affiliation(s)
- Bernhard T Baune
- Klinik für Psychische Gesundheit, Universitätsklinikum Münster, Münster, Deutschland
- Department of Psychiatry, University of Melbourne, Melbourne, Australien
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Australien
| | - Sarah E Fromme
- Klinik für Psychische Gesundheit, Universitätsklinikum Münster, Münster, Deutschland
| | - Maximilian Kiebs
- Universitätsklinik für Psychiatrie & Psychotherapie, Fakultät VI Medizin & Gesundheitswissenschaften, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Deutschland
- Klinik und Poliklinik für Psychiatrie und Psychotherapie, Universitätsklinikum Bonn, Bonn, Deutschland
| | - René Hurlemann
- Universitätsklinik für Psychiatrie & Psychotherapie, Fakultät VI Medizin & Gesundheitswissenschaften, Carl von Ossietzky Universität Oldenburg, Ammerländer Heerstraße 114-118, 26129, Oldenburg, Deutschland.
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Kim MJ, Yang JH, Koh MJ, Kim Y, Lee B, Ahn YM. Risk factors of reattempt among suicide attempters in South Korea: A nationwide retrospective cohort study. PLoS One 2024; 19:e0300054. [PMID: 38635747 PMCID: PMC11025816 DOI: 10.1371/journal.pone.0300054] [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: 10/10/2023] [Accepted: 02/21/2024] [Indexed: 04/20/2024] Open
Abstract
This study aimed to identify underlying demographic and clinical characteristics among individuals who had previously attempted suicide, utilizing the comprehensive Health Insurance Review and Assessment Service (HIRA) database. Data of patients aged 18 and above who had attempted suicide between January 1 and December 31, 2014, recorded in HIRA, were extracted. The index date was identified when a suicide attempt was made within the year 2014. The medical history of the three years before the index date and seven years of follow-up data after the index date were analyzed. Kaplan-Meier estimate was used to infer reattempt of the suicide attempters, and Cox-proportional hazard analysis was used to investigate risk factors associated with suicide reattempts. A total of 17,026 suicide attempters were identified, of which 1,853 (10.9%) reattempted suicide; 4,925 (28.9%) patients had been diagnosed with depressive disorder. Of the reattempters, 391 (21.1%) demonstrated a history of suicide attempts in the three years before the index date, and the mean number of prior attempts was higher compared to that of the non-reattempters (1.7 vs.1.3, p-value < 0.01). Prior psychiatric medication, polypharmacy, and an increase in the number of psychotropics were associated with suicide reattempt in overall suicide attempters. (Hazard ratio (HR) = 3.20, 95% confidence interval [CI] = 2.56-4.00; HR = 2.42, 95% CI = 1.87-3.14; HR = 19.66, 95% CI = 15.22-25.39 respectively). The risk of reattempt decreased in individuals receiving antidepressant prescriptions compared to those unmedicated, showing a reduction of 78% when prescribed by non-psychiatrists and 89% when prescribed by psychiatrists. Similar risk factors for suicide reattempts were observed in the depressive disorder subgroup, but the median time to reattempt was shorter (556.5 days) for this group compared to that for the overall attempters (578 days). Various risk factors including demographics, clinical characteristics, and medications should be considered to prevent suicide reattempts among suicide attempters, and patients with depressive disorder should be monitored more closely.
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Affiliation(s)
- Min Ji Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
| | - Jeong Hun Yang
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
| | - Min Jung Koh
- Medical Affairs, Janssen Korea Ltd., Seoul, Korea
| | - Youngdoe Kim
- Medical Affairs, Janssen Korea Ltd., Seoul, Korea
| | - Bolam Lee
- Medical Affairs, Janssen Korea Ltd., Seoul, Korea
| | - Yong Min Ahn
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
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Patel E, Ramaiah P, Mamaril-Davis JC, Bauer IL, Koujah D, Seideman T, Kelbert J, Nosova K, Bina RW. Outcome differences between males and females undergoing deep brain stimulation for treatment-resistant depression: systematic review and individual patient data meta-analysis. J Affect Disord 2024; 351:481-488. [PMID: 38296058 DOI: 10.1016/j.jad.2024.01.251] [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: 08/22/2023] [Revised: 01/22/2024] [Accepted: 01/26/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND Treatment-resistant depression (TRD) occurs more commonly in women. Deep brain stimulation (DBS) is an emerging treatment for TRD, and its efficacy continues to be explored. However, differences in treatment outcomes between males and females have yet to be explored in formal analysis. METHODS A PRISMA-compliant systematic review of DBS for TRD studies was conducted. Patient-level data were independently extracted by two authors. Treatment response was defined as a 50 % or greater reduction in depression score. Percent change in depression scores by gender were evaluated using random-effects analyses. RESULTS Of 737 records, 19 studies (129 patients) met inclusion criteria. The mean reduction in depression score for females was 57.7 % (95 % CI, 64.33 %-51.13 %), whereas for males it was 35.2 % (95 % CI, 45.12 %-25.23 %) (p < 0.0001). Females were more likely to respond to DBS for TRD when compared to males (OR = 2.44, 95 % CI 1.06, 1.95). These differences varied in significance when stratified by DBS anatomical target, age, and timeframe for responder classification. LIMITATIONS Studies included were open-label trials with small sample sizes. CONCLUSIONS Our findings suggest that females with TRD respond at higher rates to DBS treatment than males. Further research is needed to elucidate the implications of these results, which may include connectomic sexual dimorphism, depression phenotype variations, or unrecognized symptom reporting differences. Methodological standardization of outcome scales, granular demographic data, and individual subject outcomes would allow for more robust comparisons between trials.
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Affiliation(s)
- Ekta Patel
- University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Priya Ramaiah
- University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | | | - Isabel L Bauer
- University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Dalia Koujah
- University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Travis Seideman
- University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | - James Kelbert
- University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Kristin Nosova
- Department of Neurosurgery, Banner University Medical Center/University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA
| | - Robert W Bina
- Department of Neurosurgery, Banner University Medical Center/University of Arizona College of Medicine - Phoenix, Phoenix, AZ, USA.
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Bernardus Saayman JL, Harvey BH, Wegener G, Brink CB. Sildenafil, alone and in combination with imipramine or escitalopram, display antidepressant-like effects in an adrenocorticotropic hormone-induced (ACTH) rodent model of treatment-resistant depression. Eur J Pharmacol 2024; 969:176434. [PMID: 38458412 DOI: 10.1016/j.ejphar.2024.176434] [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: 11/23/2023] [Revised: 02/15/2024] [Accepted: 02/16/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) represents a challenge with high prevalence and limited effectiveness of existing treatments, particularly in cases of treatment-resistant depression (TRD). Innovative strategies and alternative drug targets are therefore necessary. Sildenafil, a selective phosphodiesterase type 5 (PDE5) inhibitor, is known to exert neuroplastic, anti-inflammatory, and antioxidant properties, and is a promising antidepressant drug candidate. AIM To investigate whether sildenafil monotherapy or in combination with a known antidepressant, can elicit antidepressant-like effects in an adrenocorticotropic hormone (ACTH)-induced rodent model of TRD. METHODS ACTH-naïve and ACTH-treated male Sprague-Dawley (SD) rats received various sub-acute drug treatments, followed by behavioural tests and biochemical analyses conversant with antidepressant actions. RESULTS Sub-chronic ACTH treatment induced significant depressive-like behaviour in rats, evidenced by increased immobility during the forced swim test (FST). Sub-acute sildenafil (10 mg/kg) (SIL-10) (but not SIL-3), and combinations of imipramine (15 mg/kg) (IMI-15) and sildenafil (3 mg/kg) (SIL-3) or escitalopram (15 mg/kg) (ESC-15) and SIL-3, exhibited significant antidepressant-like effects. ACTH treatment significantly elevated hippocampal levels of brain-derived neurotrophic factor (BDNF), serotonin, norepinephrine, kynurenic acid (KYNUA), quinolinic acid (QUINA), and glutathione. The various mono- and combined treatments significantly reversed some of these changes, whereas IMI-15 + SIL-10 significantly increased glutathione disulfide levels. ESC-15 + SIL-3 significantly reduced plasma corticosterone levels. CONCLUSION This study suggests that sildenafil shows promise as a treatment for TRD, either as a stand-alone therapy or in combination with a traditional antidepressant. The neurobiological mechanism underlying the antidepressant-like effects of the different sildenafil mono- and combination therapies reflects a multimodal action and cannot be explained in full by changes in the individually measured biomarker levels.
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Affiliation(s)
- Juandré Lambertus Bernardus Saayman
- Centre of Excellence for Pharmaceutical Sciences (Pharmacen™), Faculty of Health Sciences, North-West University, Private Bag X6001, Potchefstroom, 2520, South Africa
| | - Brian Herbert Harvey
- Centre of Excellence for Pharmaceutical Sciences (Pharmacen™), Faculty of Health Sciences, North-West University, Private Bag X6001, Potchefstroom, 2520, South Africa; South African Medical Research Council Unit on Risk and Resilience on Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Rondebosch, 7700, South Africa; The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin University, Geelong, Australia
| | - Gregers Wegener
- Translational Neuropsychiatry Unit (TNU), Department of Clinical Medicine, Aarhus University, DK-8200 Aarhus N, Denmark
| | - Christiaan Beyers Brink
- Centre of Excellence for Pharmaceutical Sciences (Pharmacen™), Faculty of Health Sciences, North-West University, Private Bag X6001, Potchefstroom, 2520, South Africa.
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von Mücke-Heim IA, Pape JC, Grandi NC, Erhardt A, Deussing JM, Binder EB. Multiomics and blood-based biomarkers of electroconvulsive therapy in severe and treatment-resistant depression: study protocol of the DetECT study. Eur Arch Psychiatry Clin Neurosci 2024; 274:673-684. [PMID: 37644215 PMCID: PMC10995021 DOI: 10.1007/s00406-023-01647-1] [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: 02/24/2023] [Accepted: 07/07/2023] [Indexed: 08/31/2023]
Abstract
Electroconvulsive therapy (ECT) is commonly used to treat treatment-resistant depression (TRD). However, our knowledge of the ECT-induced molecular mechanisms causing clinical improvement is limited. To address this issue, we developed the single-center, prospective observational DetECT study ("Multimodal Biomarkers of ECT in TRD"; registered 18/07/2022, www.clinicalTrials.gov , NCT05463562). Its objective is to identify molecular, psychological, socioeconomic, and clinical biomarkers of ECT response in TRD. We aim to recruit n = 134 patients in 3 years. Over the course of 12 biweekly ECT sessions (± 7 weeks), participant blood is collected before and 1 h after the first and seventh ECT and within 1 week after the twelfth session. In pilot subjects (first n = 10), additional blood draws are performed 3 and 6 h after the first ECT session to determine the optimal post-ECT blood draw interval. In blood samples, multiomic analyses are performed focusing on genotyping, epigenetics, RNA sequencing, neuron-derived exosomes, purines, and immunometabolics. To determine clinical response and side effects, participants are asked weekly to complete four standardized self-rating questionnaires on depressive and somatic symptoms. Additionally, clinician ratings are obtained three times (weeks 1, 4, and 7) within structured clinical interviews. Medical and sociodemographic data are extracted from patient records. The multimodal data collected are used to perform the conventional statistics as well as mixed linear modeling to identify clusters that link biobehavioural measures to ECT response. The DetECT study can provide important insight into the complex mechanisms of ECT in TRD and a step toward biologically informed and data-driven-based ECT biomarkers.
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Affiliation(s)
- Iven-Alex von Mücke-Heim
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Research Group Molecular Neurogenetics, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Julius C Pape
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany.
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
| | - Norma C Grandi
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Angelika Erhardt
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Jan M Deussing
- Research Group Molecular Neurogenetics, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
| | - Elisabeth B Binder
- Department Genes and Environment, Max Planck Institute of Psychiatry, Kraepelinstraße 2-10, 80804, Munich, Germany
- Department of Psychiatry, Clinical Anxiety Research, University of Würzburg, Josef-Schneider-Straße 2, 97080, Würzburg, Germany
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Civardi SC, Besana F, Carnevale Miacca G, Mazzoni F, Arienti V, Politi P, Brondino N, Olivola M. Risk factors for suicidal attempts in a sample of outpatients with treatment-resistant depression: an observational study. Front Psychiatry 2024; 15:1371139. [PMID: 38585482 PMCID: PMC10995380 DOI: 10.3389/fpsyt.2024.1371139] [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: 01/15/2024] [Accepted: 03/08/2024] [Indexed: 04/09/2024] Open
Abstract
Introduction Treatment-resistant depression (TRD) is commonly defined as the failure of at least two trials with antidepressant drugs, given at the right dose and for an appropriate duration. TRD is associated with increased mortality, compared to patients with a simple major depressive episode. This increased rate was mainly attributed to death from external causes, including suicide and accidents. The aim of our study is to identify socio-demographic and psychopathological variables associated with suicidal attempts in a sample of outpatients with TRD. Material and methods We performed a monocentric observational study with a retrospective design including a sample of 63 subjects with TRD referred to an Italian outpatient mental health centre. We collected socio-demographic and psychopathological data from interviews and clinical records. Results 77.8% of the sample (N=49) were females, the mean age was 49.2 (15.9). 33.3% (N=21) of patients had attempted suicide. 54% (N=34) of patients had a psychiatric comorbidity. Among the collected variables, substance use (p=0.031), psychiatric comorbidities (p=0.049) and high scores of HAM-D (p=0.011) were associated with the occurrence of suicide attempts. In the regression model, substance use (OR 6.779), psychiatric comorbidities (OR 3.788) and HAM-D scores (OR 1.057) were predictive of suicide attempts. When controlling for gender, only substance use (OR 6.114) and HAM-D scores (OR 1.057) maintained association with suicide attempts. Conclusion The integrated treatment of comorbidities and substance abuse, which involves different mental health services, is fundamental in achieving the recovery of these patients. Our study supports the importance of performing a careful clinical evaluation of patients with TRD in order to identify factors associated with increased risk of suicide attempts.
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Affiliation(s)
| | - Filippo Besana
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | | | - Filippo Mazzoni
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Vincenzo Arienti
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Department of Mental Health and Addictions, Azienda Socio-Sanitaria Territoriale (ASST), Pavia, Pavia, Italy
| | - Natascia Brondino
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Department of Mental Health and Addictions, Azienda Socio-Sanitaria Territoriale (ASST), Pavia, Pavia, Italy
| | - Miriam Olivola
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Department of Mental Health and Addictions, Azienda Socio-Sanitaria Territoriale (ASST), Pavia, Pavia, Italy
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d'Andrea G, Pettorruso M, Di Lorenzo G, Rhee TG, Chiappini S, Carullo R, Barlati S, Zanardi R, Rosso G, Di Nicola M, Andriola I, Marcatili M, Clerici M, Dell'Osso BM, Sensi SL, Mansur RB, Rosenblat JD, Martinotti G, McIntyre RS. The rapid antidepressant effectiveness of repeated dose of intravenous ketamine and intranasal esketamine: A post-hoc analysis of pooled real-world data. J Affect Disord 2024; 348:314-322. [PMID: 38145840 DOI: 10.1016/j.jad.2023.12.038] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 11/30/2023] [Accepted: 12/13/2023] [Indexed: 12/27/2023]
Abstract
INTRODUCTION Intravenous ketamine (KET-IV) and intranasal esketamine (ESK-NS) are effective in the acute treatment of Treatment-Resistant Depression (TRD). Studies comparing KET-IV and ESK-NS concerning their action, safety, and tolerability are currently lacking. MATERIALS AND METHODS We combined patients' data from two unipolar TRD cohorts that received KET-IV (n = 171) at the Canadian Rapid Treatment Center of Excellence in Toronto, Canada, or ESK-NS (n = 140) at several TRD clinics in Italy. The Quick Inventory for Depression Symptomatology-Self-Report-16/QIDS-SR16 in the KET-IV group and Montgomery-Åsberg Depression Rating Scale/MADRS in the ESK-NS group measured depressive symptoms at baseline (T0) and after the acute treatment phase (T1) (i.e., four infusions of KET-IV and eight administrations of ESK-NS). As different scales were used, the primary outcome was to compare the improvement in depression severity in the two cohorts by measuring effect sizes, response and remission rates. Finally, we compare side effects and discontinuation rates. RESULTS At T1, KET-IV and ESK-NS significantly reduced depressive symptoms (respectively: QIDS-SR16 mean reduction = 5.65, p < 0.001; MADRS mean reduction = 11.41, p = 0.025). KET-IV showed larger effect sizes compared to ESK-NS (1.666 vs. 1.244). KET-IV had higher response rates (36 % vs. 25 %; p = 0.042) but not superior remission rates (13 % vs. 12 %; p = 0.845) than ESK-NS at T1. Despite more reported side effects, KET-IV did not cause more discontinuations for adverse events (4.6 % vs. 2.12 %; p = 0.228) than ESK-NS. CONCLUSION KET-IV showed a higher short-term antidepressant effect, whereas ESK-NS exhibited lower side effects. Both were generally well tolerated. Future head-to-head studies should consider the long-term efficacy of these treatments.
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Affiliation(s)
- Giacomo d'Andrea
- Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi G. D'Annunzio, Chieti, Italy
| | - Mauro Pettorruso
- Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi G. D'Annunzio, Chieti, Italy
| | - Giorgio Di Lorenzo
- Chair of Psychiatry, Department of Systems Medicine, Tor Vergata University of Rome, Rome, Italy; IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Taeho Greg Rhee
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA; VA New England Mental Illness, Research, Education and Clinical Center (MIRECC), VA Connecticut Healthcare System, West Haven, CT, USA; Department of Public Health Sciences, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Stefania Chiappini
- Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi G. D'Annunzio, Chieti, Italy
| | - Rosalba Carullo
- Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi G. D'Annunzio, Chieti, Italy
| | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Raffaella Zanardi
- Mood Disorder Unit, Department of Clinical Neurosciences, IRCCS San Raffaele Scientific Institute, Milan, Italy; Department of Clinical Neurosciences, University Vita-Salute San Raffaele, Milan, Italy
| | - Gianluca Rosso
- Department of Neurosciences Rita Levi Montalcini, University of Torino, Turin, Italy
| | - Marco Di Nicola
- Department of Neurosciences, Section of Psychiatry, Università Cattolica del Sacro Cuore, Rome; Department of Psychiatry, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy
| | | | - Matteo Marcatili
- Department of Mental Health and Addiction, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Massimo Clerici
- Department of Mental Health and Addiction, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy; School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Bernardo Maria Dell'Osso
- Department of Biomedical and Clinical Sciences Luigi Sacco and Aldo Ravelli Center for Neurotechnology and Brain Therapeutic, University of Milan, Milano, Italy
| | - Stefano L Sensi
- Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi G. D'Annunzio, Chieti, Italy
| | - Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada; Braxia Health, Canadian Centre for Rapid Treatment Excellence (CRTCE), Mississauga, ON, Canada
| | - Giovanni Martinotti
- Department of Neurosciences, Imaging and Clinical Sciences, Università degli Studi G. D'Annunzio, Chieti, Italy; Psychopharmacology, Drug Misuse and Novel Psychoactive Substances Research Unit, School of Life and Medical Sciences, University of Hertfordshire, Hatfield AL10 9AB, UK
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada; Braxia Health, Canadian Centre for Rapid Treatment Excellence (CRTCE), Mississauga, ON, Canada.
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Conway CR, Aaronson ST, Sackeim HA, Duffy W, Stedman M, Quevedo J, Allen RM, Riva-Posse P, Berger MA, Alva G, Malik MA, Dunner DL, Cichowicz I, Luing H, Zajecka J, Nahas Z, Mickey BJ, Kablinger AS, Kriedt CL, Bunker MT, Lee YCL, Shy O, Majewski S, Olin B, Tran Q, Rush AJ. Clinical characteristics and treatment exposure of patients with marked treatment-resistant unipolar major depressive disorder: A RECOVER trial report. Brain Stimul 2024; 17:448-459. [PMID: 38574853 DOI: 10.1016/j.brs.2024.03.016] [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: 01/04/2024] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND RECOVER is a randomized sham-controlled trial of vagus nerve stimulation and the largest such trial conducted with a psychiatric neuromodulation intervention. OBJECTIVE To describe pre-implantation baseline clinical characteristics and treatment history of patients with unipolar, major depressive disorder (MDD), overall and as a function of exposure to interventional psychiatric treatments (INTs), including electroconvulsive therapy, transcranial magnetic stimulation, and esketamine. METHODS Medical, psychiatric, and treatment records were reviewed by study investigators and an independent Study Eligibility Committee prior to study qualification. Clinical characteristics and treatment history (using Antidepressant Treatment History [Short] Form) were compared in those qualified (N = 493) versus not qualified (N = 228) for RECOVER, and among the qualified group as a function of exposure to INTs during the current major depressive episode (MDE). RESULTS Unipolar MDD patients who qualified for RECOVER had marked TRD (median of 11.0 lifetime failed antidepressant treatments), severe disability (median WHODAS score of 50.0), and high rate of baseline suicidality (77% suicidal ideation, 40% previous suicide attempts). Overall, 71% had received at least one INT. Compared to the no INT group, INT recipients were younger and more severely depressed (QIDS-C, QIDS-SR), had greater suicidal ideation, earlier diagnosis of MDD, and failed more antidepressant medication trials. CONCLUSIONS RECOVER-qualified unipolar patients had marked TRD and marked treatment resistance with most failing one or more prior INTs. Treatment with ≥1 INTs in the current MDE was associated with earlier age of MDD onset, more severe clinical presentation, and greater treatment resistance relative to patients without a history of INT. TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT03887715.
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Affiliation(s)
- Charles R Conway
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA.
| | - Scott T Aaronson
- Department of Clinical Research, Sheppard Pratt Health System, Baltimore, MD, USA
| | - Harold A Sackeim
- Departments of Psychiatry and Radiology, Columbia University, New York, NY, USA
| | | | | | - João Quevedo
- Center for Interventional Psychiatry, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA
| | | | - Patricio Riva-Posse
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | | | - Gustavo Alva
- ATP Clinical Research, Senior Brain Health, Hoag Hospital, Newport Beach, CA and Department of Psychiatry and Neuroscience, University of California, Riverside, CA, USA
| | | | - David L Dunner
- Center for Anxiety and Depression, Mercer Island, WA, USA
| | | | | | - John Zajecka
- Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA; Psychiatric Medicine Associates, LLC, Skokie, IL, USA
| | - Ziad Nahas
- Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Brian J Mickey
- Department of Psychiatry, Huntsman Mental Health Institute, University of Utah, Salt Lake City, UT, USA
| | - Anita S Kablinger
- Department of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine, Roanoke, VA, USA
| | - Christopher L Kriedt
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Mark T Bunker
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | | | - Olivia Shy
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - Shannon Majewski
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - Bryan Olin
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - Quyen Tran
- LivaNova PLC (or a Subsidiary), London, Great Britain, United Kingdom
| | - A John Rush
- Duke-NUS Medical School, Singapore; Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
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Liu Y, Hu Q, Xu S, Li W, Liu J, Han L, Mao H, Cai F, Liu Q, Zhu R, Fang C, Lou Y, Wang Z, Yang H, Wang W. Antidepressant effects of dexmedetomidine compared with ECT in patients with treatment-resistant depression. J Affect Disord 2024; 347:437-444. [PMID: 38000472 DOI: 10.1016/j.jad.2023.11.077] [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: 08/14/2023] [Revised: 11/16/2023] [Accepted: 11/19/2023] [Indexed: 11/26/2023]
Abstract
OBJECTIVE This pilot study was designed to investigate the antidepressant effects of dexmedetomidine (DEX), a selective α2-adrenergic receptor agonist, in patients with treatment-resistant depression (TRD). The antidepressant effects of dexmedetomidine was compared with ECT, which is widely used in clinical practice for treatment of patients with TRD. METHODS Seventy six patients with TRD were randomly assigned to receive 10 sessions of DEX infusions or electroconvulsive therapy (ECT) treatment. The primary outcome was the changes of depression severity determined by the improvement of 24-item Hamilton Depression Rating Scale (HDRS-24). The second outcomes were the rates of therapeutic response (reduction in HDRS-24 ≥ 50 %) and remission (HDRS-24 ≤ 10 and reduction in HDRS-24 ≥ 60 %) at posttreatment and after 3 months of follow-up visits. RESULTS We found that 10 sessions of DEX infusions or ECT treatments significantly improved HDRS-24 scores at posttreatment and after 3 months of follow-up visits compared with the baseline. In addition, there was no significant difference between DEX infusions and ECT treatments regarding HDRS-24 at these evaluating points. Furthermore, the depression severity dropped to mild after 2 sessions of DEX infusion. In contrast, at least 6 sessions of ECT treatment were needed to achieve a same level. Finally, the rates of therapeutic response and remission were comparable between the two groups. No serious adverse events were observed. CONCLUSIONS Based on current published evidence, we conclude that DEX exhibits rapid and durable antidepressant properties similar to ECT but with fewer side effects.
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Affiliation(s)
- Yusi Liu
- Jinzhou Medical University, Jinzhou, Liaoning 121001, China
| | - Qiyun Hu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
| | - Sen Xu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China
| | - Wanwen Li
- Department of Psychiatry, Affiliated Mental Health Center, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310063, China
| | - Junyun Liu
- Department of Psychiatry, Affiliated Mental Health Center, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310063, China
| | - Liang Han
- Center for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Hui Mao
- Center for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Fang Cai
- Center for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Qiaoyan Liu
- Center for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Renlai Zhu
- Center for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Caiyun Fang
- Department of Anesthesiology, Affiliated Mental Health Center, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310063, China
| | - Yifei Lou
- Department of Anesthesiology, Affiliated Hangzhou Xixi Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310023, China
| | - Zhenhua Wang
- Department of Anesthesiology, Jiaxing Hospital of T.C.M., Affiliated Hospital of Zhejiang Chinese Medical University, Jiaxing, Zhejiang 314015, China
| | - Huiling Yang
- Department of Anesthesiology, Affiliated Hangzhou Xixi Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310023, China
| | - Wenyuan Wang
- Center for Rehabilitation Medicine, Department of Anesthesiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang 310014, China.
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Salles J, Stephan F, Molière F, Bennabi D, Haffen E, Bouvard A, Walter M, Allauze E, Llorca PM, Genty JB, Leboyer M, Holtzmann J, Nguon AS, D'Amato T, Rey R, Horn M, Vaiva G, Fond G, Richieri R, Hennion V, Etain B, El-Hage W, Camus V, Courtet P, Aouizerate B, Yrondi A. Indirect effect of impulsivity on suicide risk through self-esteem and depressive symptoms in a population with treatment-resistant depression: A FACE-DR study. J Affect Disord 2024; 347:306-313. [PMID: 37992775 DOI: 10.1016/j.jad.2023.11.063] [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: 05/25/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 11/24/2023]
Abstract
INTRODUCTION Suicide is a major health issue. Its prevalence is particularly high in subjects presenting major depression disorder (MDD), making this a key suicide-related risk factor. Suicide attempts in severe forms of MDD were assumed to be linked to impulsivity and loss of control. Nevertheless, we failed to find data specifically investigating the link between impulsivity and suicide risk in treatment-resistant depression (TRD). This study seeks to review this relationship. METHOD Patients were recruited for a prospective cohort. Suicide risk and impulsivity were assessed using the International Neuropsychiatric Interview and Barratt Impulsiveness Scale, Version 10, respectively, while the severity of depressive symptoms was assessed using the Montgomery-Asberg Depression Rating Scale, anxiety with the State-Trait Anxiety Inventory and childhood maltreatment using the Childhood Trauma Questionnaire. RESULTS 220 TRD patients were enrolled in the study. The impulsivity score was correlated with self-esteem, marital status, professional status and anxiety. There was no direct link to suicide risk. However, impulsivity was associated with self-esteem (coefficient: -0.24; p value 0.043) and depressive symptom severity (coefficient: 0.; p value 0.045). The suicide risk was significantly correlated with depressive symptom severity (coefficient = 0.38, p < 0.001) and self-esteem (coefficient = -0.34, p = 0.01). Considering these correlations, we postulated that the effect of impulsivity on suicide risk could be mediated by self-esteem in terms of depressive symptom severity and we finally found a relevant mediation model within impulsivity having an indirect effect on suicide risk by impacting self-esteem and depressive symptoms with anxiety also playing a significant role as a covariable. CONCLUSION We found that impulsivity could play an indirect role with the involvement of self-esteem and depressive symptoms and the contributing role of anxiety.
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Affiliation(s)
- Juliette Salles
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service des urgences psychiatriques, Infinity (Infinity, Department of Emergency Psychiatry), INSERM UMR1291, CNRS UMR5051, Centre Hospitalier Universitaire de Toulouse (Toulouse University Hospital), Toulouse, France
| | - Florian Stephan
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service Hospitalo-Universitaire de Psychiatrie Générale et de Réhabilitation Psycho Sociale 29G01 et 29G02 (University Hospital Department of General Psychiatry and Psycho-Social Rehabilitation 29G01 and 29G02), Centre Expert Depression Résistante FondaMental (Fondaental Expert Centre for Resistant Depression), EA 7479, CHRU de Brest (Brest Regional University Hospital), Hôpital de Bohars (Bohars Hospital), Brest, France
| | - Fanny Molière
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Department of Emergency Psychiatry and Acute Care, CHU Montpellier (Montpellier University Hospital), INSERM U1061, Montpellier University, Montpellier, France
| | - Djamila Bennabi
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service de Psychiatrie (Department of Psychiatry), Centre Expert Dépression Résistante FondaMental (FondaMental Expert Centre for Resistant Depression), CIC-1431 INSERM, CHU de Besançon (Besançon University Hospital), EA 481 Neurosciences, Université de Bourgogne Franche Comté, Besançon, France
| | - Emmanuel Haffen
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service de Psychiatrie (Department of Psychiatry), Centre Expert Dépression Résistante FondaMental (FondaMental Expert Centre for Resistant Depression), CIC-1431 INSERM, CHU de Besançon (Besançon University Hospital), EA 481 Neurosciences, Université de Bourgogne Franche Comté, Besançon, France
| | - Alexandra Bouvard
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Pôle de Psychiatrie Générale et Universitaire (General and University Psychiatry Unit), Centre de référence régional des pathologies anxieuses et de la dépression (Regional Reference Centre for Anxiety and Depression-Related Disorders), Centre Expert Dépression Résistante FondaMental, CH Charles Perrens, Bordeaux, Laboratoire Nutrition et Neurobiologie intégrée (Integrated Nutrition and Neurobiology Laboratory) (UMR INRAE 1286), Université de Bordeaux, Bordeaux, France
| | - Michel Walter
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service Hospitalo-Universitaire de Psychiatrie Générale et de Réhabilitation Psycho Sociale 29G01 et 29G02 (University Hospital Department of General Psychiatry and Psycho-Social Rehabilitation 29G01 and 29G02), Centre Expert Depression Résistante FondaMental (Fondaental Expert Centre for Resistant Depression), EA 7479, CHRU de Brest (Brest Regional University Hospital), Hôpital de Bohars (Bohars Hospital), Brest, France
| | - Etienne Allauze
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280 Clermont-Ferrand, France
| | - Pierre Michel Llorca
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280 Clermont-Ferrand, France
| | - Jean Baptiste Genty
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Université Paris-Est, UMR_S955, UPEC, Créteil, France Inserm, U955, Equipe 15 Psychiatrie génétique (Team 15 Genetic Psychiatry), Créteil, France AP-HP, Hôpital H. Mondor-A. Chenevier, Pôle de psychiatrie (Psychiatry Unit), Créteil, France Fondation FondaMental, Fondation de Cooperation Scientifique (Foundation for Scientific Cooperation), Créteil, France
| | - Marion Leboyer
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Université Paris-Est, UMR_S955, UPEC, Créteil, France Inserm, U955, Equipe 15 Psychiatrie génétique (Team 15 Genetic Psychiatry), Créteil, France AP-HP, Hôpital H. Mondor-A. Chenevier, Pôle de psychiatrie (Psychiatry Unit), Créteil, France Fondation FondaMental, Fondation de Cooperation Scientifique (Foundation for Scientific Cooperation), Créteil, France
| | - Jérôme Holtzmann
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service de Psychiatrie de l'adulte (Department of Adult Psychiatry), Centre Expert Dépression Résistante FondaMental, CHU de Grenoble-Alpes, Hôpital Nord, Grenoble, CS 10217, France
| | - Anne Sophie Nguon
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service de Psychiatrie de l'adulte (Department of Adult Psychiatry), Centre Expert Dépression Résistante FondaMental, CHU de Grenoble-Alpes, Hôpital Nord, Grenoble, CS 10217, France
| | - Thierry D'Amato
- Fondation FondaMental (FondaMental Foundation), Créteil, France; INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon Neuroscience Research Centre, Psychiatric Disorders: from Resistance to Response ΨR2 Team, Centre Hospitalier Le Vinatier, Bron, France
| | - Romain Rey
- Fondation FondaMental (FondaMental Foundation), Créteil, France; INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon Neuroscience Research Centre, Psychiatric Disorders: from Resistance to Response ΨR2 Team, Centre Hospitalier Le Vinatier, Bron, France
| | - Mathilde Horn
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service de Psychiatrie adulte (Department of Adult Psychiatry), Centre Expert Dépression Résistante FondaMental, CHRU de Lille, Hôpital Fontan 1, Lille, France
| | - Guillaume Vaiva
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service de Psychiatrie adulte (Department of Adult Psychiatry), Centre Expert Dépression Résistante FondaMental, CHRU de Lille, Hôpital Fontan 1, Lille, France; Centre National de Ressources et Résilience pour les psychotraumatismes (National Psychological Trauma Resource and Resilience Centre) (Cn2r Lille Paris), Lille, France
| | - Guillaume Fond
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Faculté de Médecine (Faculty of Medicine), Marseille Univ, EA 3279, Service d'Épidémiologie et d'Économie de la Santé (Department of Epidemiology and Health Economics), Marseille, France
| | - Raphaelle Richieri
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Pôle Psychiatrie (Psychiatry Unit), Centre Expert Dépression Résistante FondaMental, CHU La Conception, Marseille, France
| | - Vincent Hennion
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Département de Psychiatrie et de Médecine Addictologique (Department of Psychiatry and Addiction Medicine), Lariboisière-Fernand Widal GHU APHP Nord Université Paris cité Paris, France
| | - Bruno Etain
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Département de Psychiatrie et de Médecine Addictologique (Department of Psychiatry and Addiction Medicine), Lariboisière-Fernand Widal GHU APHP Nord Université Paris cité Paris, France; Université Paris Cité, INSERM UMR-S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie (Therapeutic Optimisation in Neuropsychopharmacology), OTeN, F-75006 Paris, France
| | - Wissam El-Hage
- Fondation FondaMental (FondaMental Foundation), Créteil, France; U1253, iBrain, CIC1415, Inserm, Pôle psychiatrie-Addictologie, (Psychiatry-Addiction Unit) CHRU de Tours, Université de Tours, Tours, France
| | - Vincent Camus
- Fondation FondaMental (FondaMental Foundation), Créteil, France; U1253, iBrain, CIC1415, Inserm, Pôle psychiatrie-Addictologie, (Psychiatry-Addiction Unit) CHRU de Tours, Université de Tours, Tours, France
| | - Philippe Courtet
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Department of Emergency Psychiatry and Acute Care, CHU Montpellier (Montpellier University Hospital), INSERM U1061, Montpellier University, Montpellier, France
| | - Bruno Aouizerate
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Pôle de Psychiatrie Générale et Universitaire (General and University Psychiatry Unit), Centre de référence régional des pathologies anxieuses et de la dépression (Regional Reference Centre for Anxiety and Depression-Related Disorders), Centre Expert Dépression Résistante FondaMental, CH Charles Perrens, Bordeaux, Laboratoire Nutrition et Neurobiologie intégrée (Integrated Nutrition and Neurobiology Laboratory) (UMR INRAE 1286), Université de Bordeaux, Bordeaux, France
| | - Antoine Yrondi
- Fondation FondaMental (FondaMental Foundation), Créteil, France; Service de Psychiatrie et de Psychologie Médicale (Department of Psychiatry and Medical Psychology), Centre Expert Dépression Résistante FondaMental, CHU de Toulouse, Hôpital Purpan, ToNIC Toulouse NeuroImaging Centre, Université de Toulouse, INSERM, UPS, Toulouse, France.
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Wang YT, Wang XL, Lei L, Guo ZY, Kan FF, Hu D, Gai C, Zhang Y. A systematic review and meta-analysis of the efficacy of ketamine and esketamine on suicidal ideation in treatment-resistant depression. Eur J Clin Pharmacol 2024; 80:287-296. [PMID: 38117332 DOI: 10.1007/s00228-023-03605-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 12/10/2023] [Indexed: 12/21/2023]
Abstract
PURPOSE To systematically assess the evidence of efficacy and safety of the use of ketamine and esketamine for patients with treatment-resistant depression (TRD) with suicidal ideation (SI). METHODS We independently searched for clinical trials from inception to January 2023 using electronic databases, e.g., PubMed and EMBASE. A systematic review and meta-analysis were performed to assess SI scores of depression rating scales, which were regarded as the outcomes. RESULTS A total of five independent double-blind, placebo controlled randomized clinical trials (RCTs) are eligible for inclusion. Four of the studies used ketamine as an intervention and one used esketamine as an intervention. Three hundred ninety-one patients with TRD were included (the intervention group with ketamine or esketamine is 246, and the control group is 145). No statistically significant interaction between the subscales of suicide ideation (SMD = - 0.66, 95% CI (- 1.61, 0.29); Z = 1.36, P = 0.17) and antidepressant effects (SMD = - 0.99, 95% CI (- 2.33, 0.34); Z = 1.46, P = 0.15) based on the results of ketamine and esketamine, compared with placebo groups. CONCLUSION This meta-analysis suggested that esketamine and ketamine have failed to reduce suicidal ideation in patients with TRD. Further studies are desirable to confirm the effects of ketamine and esketamine in TRD patients.
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Affiliation(s)
- Ya-Ting Wang
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China
| | - Xiao-Le Wang
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China
| | - Lan Lei
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China
| | - Zhen-Yu Guo
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China
| | - Fei-Fei Kan
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China
| | - Die Hu
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China
| | - Cong Gai
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China
| | - Yi Zhang
- Department of Anatomy, School of Chinese Medicine, Beijing University of Chinese Medicine, Sunshine Southern Avenue, Fang-Shan District, Beijing, 102488, China.
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Abstract
Major depressive disorder (MDD) is a leading cause of suicide in the world. Monoamine-based antidepressant drugs are a primary line of treatment for this mental disorder, although the delayed response and incomplete efficacy in some patients highlight the need for improved therapeutic approaches. Over the past two decades, ketamine has shown rapid onset with sustained (up to several days) antidepressant effects in patients whose MDD has not responded to conventional antidepressant drugs. Recent preclinical studies have started to elucidate the underlying mechanisms of ketamine's antidepressant properties. Herein, we describe and compare recent clinical and preclinical findings to provide a broad perspective of the relevant mechanisms for the antidepressant action of ketamine.
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Affiliation(s)
- Ji-Woon Kim
- Department of Pharmacology, School of Medicine, Vanderbilt University, Nashville, Tennessee, USA;
- College of Pharmacy, Kyung Hee University, Seoul, Republic of Korea
- Department of Regulatory Science, Graduate School, Kyung Hee University, Seoul, Republic of Korea
- Institute of Regulatory Innovation through Science, Kyung Hee University, Seoul, Republic of Korea
| | - Kanzo Suzuki
- Department of Pharmacology, School of Medicine, Vanderbilt University, Nashville, Tennessee, USA;
- Department of Biological Science and Technology, Faculty of Advanced Engineering, Tokyo University of Science, Katsushika-ku, Tokyo, Japan
| | - Ege T Kavalali
- Department of Pharmacology, School of Medicine, Vanderbilt University, Nashville, Tennessee, USA;
| | - Lisa M Monteggia
- Department of Pharmacology, School of Medicine, Vanderbilt University, Nashville, Tennessee, USA;
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Nguyen TML, Jollant F, Tritschler L, Colle R, Corruble E, Gardier AM. [Ketamine and suicidal behavior: Contribution of animal models of aggression-impulsivity to understanding its mechanism of action]. ANNALES PHARMACEUTIQUES FRANÇAISES 2024; 82:3-14. [PMID: 37890717 DOI: 10.1016/j.pharma.2023.10.008] [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: 06/19/2023] [Revised: 10/16/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023]
Abstract
More than two-thirds of suicides occur during a major depressive episode. Acting out prevention measures and therapeutic options to manage the suicidal crisis are limited. The impulsive-aggressive dimensions are vulnerability factors associated with suicide in patients suffering from a characterized depressive episode: this can be a dimension involved in animals. Impulsive and aggressive rodent models can help analyze, at least in part, the neurobiology of suicide and the beneficial effects of treatments. Ketamine, a glutamatergic antagonist, by rapidly improving the symptoms of depressive episodes, would help reduce suicidal thoughts in the short term. Animal models share with humans impulsive and aggressive endophenotypes modulated by the serotonergic system (5-HTB receptor, MAO-A enzyme), neuroinflammation or the hypothalamic-pituitary-adrenal axis and stress. Significant effects of ketamine on these endophenotypes remain to be demonstrated.
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Affiliation(s)
- Thi Mai Loan Nguyen
- Inserm CESP/UMR 1018, équipe MOODS, faculté de pharmacie, université Paris-Saclay, 91400 Orsay, France
| | - Fabrice Jollant
- Inserm CESP/UMR 1018, équipe MOODS, faculté de médecine, université Paris-Saclay, 94270 Le Kremin-Bicêtre, France; Service hospitalo-universitaire de psychiatrie, hôpital de Bicêtre, hôpitaux universitaires Paris-Saclay, Assistance publique-Hôpitaux de Paris (AP-HP), 94275 Le Kremlin-Bicêtre, France; Pôle de psychiatrie, CHU de Nîmes, Nîmes, France; Département de psychiatrie, Université McGill et Groupe McGill d'études sur le suicide, Montréal, Canada
| | - Laurent Tritschler
- Inserm CESP/UMR 1018, équipe MOODS, faculté de pharmacie, université Paris-Saclay, 91400 Orsay, France
| | - Romain Colle
- Inserm CESP/UMR 1018, équipe MOODS, faculté de médecine, université Paris-Saclay, 94270 Le Kremin-Bicêtre, France; Service hospitalo-universitaire de psychiatrie, hôpital de Bicêtre, hôpitaux universitaires Paris-Saclay, Assistance publique-Hôpitaux de Paris (AP-HP), 94275 Le Kremlin-Bicêtre, France
| | - Emmanuelle Corruble
- Inserm CESP/UMR 1018, équipe MOODS, faculté de médecine, université Paris-Saclay, 94270 Le Kremin-Bicêtre, France; Service hospitalo-universitaire de psychiatrie, hôpital de Bicêtre, hôpitaux universitaires Paris-Saclay, Assistance publique-Hôpitaux de Paris (AP-HP), 94275 Le Kremlin-Bicêtre, France
| | - Alain M Gardier
- Inserm CESP/UMR 1018, équipe MOODS, faculté de pharmacie, université Paris-Saclay, 91400 Orsay, France.
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Wang L, Chen X, Gu X, De Smedt H, Popova V, Fu DJ, Canuso CM, Drevets WC, Chen G. A Meta-Analysis of the Antidepressant Responses in Pivotal Trials on Esketamine Nasal Spray and Atypical Antipsychotics. Neuropsychiatr Dis Treat 2023; 19:2857-2870. [PMID: 38161513 PMCID: PMC10757775 DOI: 10.2147/ndt.s417027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024] Open
Abstract
Purpose This meta-analysis assessed whether atypical antipsychotics (AAPs) and esketamine nasal spray (ESK-NS), which are mechanistically distinct, differ in antidepressant outcomes. Patients and Methods Data were extracted from 12 trials of ESK-NS or AAPs in depressed patients (4276) with inadequate response or resistance to conventional antidepressants. Montgomery-Åsberg Depression Rating Scale (MADRS) score reductions from baseline and response rates (≥50% reduction) were analyzed. Results At endpoint, the estimated MADRS score reduction of pooled ESK-NS arms was greater than pooled AAP arms (+9.16 points, p < 0.0001). The reduction also was greater in the pooled control arms of the ESK-NS trials than the pooled control arms of the AAP trials (+7.57 points, p < 0.0001). The mean difference in the reductions between pooled ESK-NS and control arms was 1.87 points greater than that between pooled AAP and control arms, but this difference was not significant (95% CI: -4.49, 0.74, p = 0.16). Relative to their respective control arms, the mean difference in response rates was 25% for the pooled ESK-NS and 9% for the pooled AAP arms; the mean response rate was 16% greater in the pooled ESK-NS studies than the pooled AAP studies (p = 0.0004). Comparisons against specific AAPs showed mean differences in the MADRS score reductions at 1 week between the experimental and control arms that were numerically larger in the ESK-NS trials than in the aripiprazole trials (mean difference of 1.71 points, p = 0.06) and the brexpiprazole trials (mean difference of 2.05 points, p = 0.02). Conclusion The ESK-NS arms showed numerically larger MADRS score reductions at week-1 and endpoint, and a significantly larger response rate compared with AAP arms. Prospective studies involving direct comparisons are warranted to compare the relative efficacy between these treatment regimens.
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Affiliation(s)
- Lien Wang
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Shanghai, People’s Republic of China
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Brisbane, CA, USA
| | - Xiaowei Chen
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Shanghai, People’s Republic of China
| | - Xiaojing Gu
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Shanghai, People’s Republic of China
| | - Heidi De Smedt
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium
| | - Vanina Popova
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium
| | - Dong-Jing Fu
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA
| | - Carla M Canuso
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA
| | - Wayne C Drevets
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Brisbane, CA, USA
| | - Guang Chen
- Janssen Research & Development, LLC, Janssen Pharmaceutical Companies of Johnson & Johnson, Brisbane, CA, USA
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Pan LA, Naviaux JC, Wang L, Li K, Monk JM, Lingampelly SS, Segreti AM, Bloom K, Vockley J, Tarnopolsky MA, Finegold DN, Peters DG, Naviaux RK. Metabolic features of treatment-refractory major depressive disorder with suicidal ideation. Transl Psychiatry 2023; 13:393. [PMID: 38097555 PMCID: PMC10721812 DOI: 10.1038/s41398-023-02696-9] [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: 09/06/2022] [Revised: 10/18/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
Peripheral blood metabolomics was used to gain chemical insight into the biology of treatment-refractory Major Depressive Disorder with suicidal ideation, and to identify individualized differences for personalized care. The study cohort consisted of 99 patients with treatment-refractory major depressive disorder and suicidal ideation (trMDD-SI n = 52 females and 47 males) and 94 age- and sex-matched healthy controls (n = 48 females and 46 males). The median age was 29 years (IQR 22-42). Targeted, broad-spectrum metabolomics measured 448 metabolites. Fibroblast growth factor 21 (FGF21) and growth differentiation factor 15 (GDF15) were measured as biomarkers of mitochondrial dysfunction. The diagnostic accuracy of plasma metabolomics was over 90% (95%CI: 0.80-1.0) by area under the receiver operator characteristic (AUROC) curve analysis. Over 55% of the metabolic impact in males and 75% in females came from abnormalities in lipids. Modified purines and pyrimidines from tRNA, rRNA, and mRNA turnover were increased in the trMDD-SI group. FGF21 was increased in both males and females. Increased lactate, glutamate, and saccharopine, and decreased cystine provided evidence of reductive stress. Seventy-five percent of the metabolomic abnormalities found were individualized. Personalized deficiencies in CoQ10, flavin adenine dinucleotide (FAD), citrulline, lutein, carnitine, or folate were found. Pathways regulated by mitochondrial function dominated the metabolic signature. Peripheral blood metabolomics identified mitochondrial dysfunction and reductive stress as common denominators in suicidal ideation associated with treatment-refractory major depressive disorder. Individualized metabolic differences were found that may help with personalized management.
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Affiliation(s)
- Lisa A Pan
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
- School of Public Health, Department of Human Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
- Panomics Mental Health Initiative, Pittsburgh, PA, USA.
- New Hope Molecular, LLC, Pittsburgh, PA, USA.
- New Hope Molecular, LLC, 750 Washington Rd, Suite 19, Pittsburgh, PA, 15228, USA.
| | - Jane C Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA
- Department of Neurosciences, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - Lin Wang
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - Kefeng Li
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - Jonathan M Monk
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - Sai Sachin Lingampelly
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, USA
| | - Anna Maria Segreti
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kaitlyn Bloom
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Jerry Vockley
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mark A Tarnopolsky
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - David N Finegold
- School of Public Health, Department of Human Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Panomics Mental Health Initiative, Pittsburgh, PA, USA
- New Hope Molecular, LLC, Pittsburgh, PA, USA
| | - David G Peters
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- School of Public Health, Department of Human Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
- Panomics Mental Health Initiative, Pittsburgh, PA, USA
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Robert K Naviaux
- The Mitochondrial and Metabolic Disease Center, University of California, San Diego School of Medicine, San Diego, CA, USA.
- Department of Medicine, University of California, San Diego School of Medicine, San Diego, CA, USA.
- Department of Pediatrics, University of California, San Diego School of Medicine, San Diego, CA, USA.
- Department of Pathology, University of California, San Diego School of Medicine, San Diego, CA, USA.
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Sandoval-Pistorius SS, Hacker ML, Waters AC, Wang J, Provenza NR, de Hemptinne C, Johnson KA, Morrison MA, Cernera S. Advances in Deep Brain Stimulation: From Mechanisms to Applications. J Neurosci 2023; 43:7575-7586. [PMID: 37940596 PMCID: PMC10634582 DOI: 10.1523/jneurosci.1427-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 08/14/2023] [Accepted: 08/15/2023] [Indexed: 11/10/2023] Open
Abstract
Deep brain stimulation (DBS) is an effective therapy for various neurologic and neuropsychiatric disorders, involving chronic implantation of electrodes into target brain regions for electrical stimulation delivery. Despite its safety and efficacy, DBS remains an underutilized therapy. Advances in the field of DBS, including in technology, mechanistic understanding, and applications have the potential to expand access and use of DBS, while also improving clinical outcomes. Developments in DBS technology, such as MRI compatibility and bidirectional DBS systems capable of sensing neural activity while providing therapeutic stimulation, have enabled advances in our understanding of DBS mechanisms and its application. In this review, we summarize recent work exploring DBS modulation of target networks. We also cover current work focusing on improved programming and the development of novel stimulation paradigms that go beyond current standards of DBS, many of which are enabled by sensing-enabled DBS systems and have the potential to expand access to DBS.
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Affiliation(s)
| | - Mallory L Hacker
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Allison C Waters
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York 10029
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Jing Wang
- Department of Neurology, University of Minnesota, Minneapolis, Minnesota 55455
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas 77030
| | - Coralie de Hemptinne
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida 32608
| | - Kara A Johnson
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida 32608
| | - Melanie A Morrison
- Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, California 94143
| | - Stephanie Cernera
- Department of Neurological Surgery, University of California-San Francisco, San Francisco, California 94143
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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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Sanadgol N, Miraki Feriz A, Lisboa SF, Joca SRL. Putative role of glial cells in treatment resistance depression: An updated critical literation review and evaluation of single-nuclei transcriptomics data. Life Sci 2023; 331:122025. [PMID: 37574044 DOI: 10.1016/j.lfs.2023.122025] [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: 11/05/2022] [Revised: 08/01/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023]
Abstract
AIMS Major depressive disorder (MDD) is a prevalent global mental illness with diverse underlying causes. Despite the availability of first-line antidepressants, approximately 10-30 % of MDD patients do not respond to these medications, falling into the category of treatment-resistant depression (TRD). Our study aimed to elucidate the precise molecular mechanisms through which glial cells contribute to depression-like episodes in TRD. MATERIALS AND METHODS We conducted a comprehensive literature search using the PubMed and Scopus electronic databases with search terms carefully selected to be specific to our topic. We strictly followed inclusion and exclusion criteria during the article selection process, adhering to PRISMA guidelines. Additionally, we carried out an in-depth analysis of postmortem brain tissue obtained from patients with TRD using single-nucleus transcriptomics (sn-RNAseq). KEY FINDINGS Our data confirmed the involvement of multiple glia-specific markers (25 genes) associated with TRD. These differentially expressed genes (DEGs) primarily regulate cytokine signaling, and they are enriched in important pathways such as NFκB and TNF-α. Notably, DEGs showed significant interactions with the transcription factor CREB1. sn-RNAseq analysis confirmed dysregulation of nearly all designated DEGs; however, only Cx30/43, AQP4, S100β, and TNF-αR1 were significantly downregulated in oligodendrocytes (OLGs) of TRD patients. With further exploration, we identified the GLT-1 in OLGs as a hub gene involved in TRD. SIGNIFICANCE Our findings suggest that glial dysregulation may hinder the effectiveness of existing therapies for TRD. By targeting specific glial-based genes, we could develop novel interventions with minimal adverse side effects, providing new hope for TRD patients who currently experience limited benefits from invasive treatments.
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Affiliation(s)
- Nima Sanadgol
- Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil; Institute of Neuroanatomy, RWTH University Hospital Aachen, Aachen, Germany.
| | - Adib Miraki Feriz
- Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran
| | - Sabrina F Lisboa
- Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
| | - Sâmia R L Joca
- Department of Biomolecular Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil; Department of Biomedicine, Aarhus University, Aarhus, Denmark.
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Kalfas M, Taylor RH, Tsapekos D, Young AH. Psychedelics for treatment resistant depression: are they game changers? Expert Opin Pharmacother 2023; 24:2117-2132. [PMID: 37947195 DOI: 10.1080/14656566.2023.2281582] [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: 08/15/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION A new era of treatment for adults with treatment-resistant depression (TRD), which involves psychedelic substances, is dawning. Emerging evidence indicates that psychedelics can exert antidepressant effects through multiple neurobiological and psychological mechanisms. However, it remains to be seen if these new treatments will revolutionize the treatment of TRD. AREAS COVERED The present review focuses on the efficacy of serotoninergic psychedelics psilocybin, lysergic acid diethylamide (LSD), N,N-dimethyltryptamine (DMT), ayahuasca, 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) and mescaline (3,4,5-trimethoxyphenethylamine), as well as 3,4-methylenedioxymethamphetamine (MDMA), for TRD. A systematic search was conducted for psilocybin in TRD as emerging trials had not yet been subject to review. A narrative review summarized findings on other psychedelics. EXPERT OPINION Psychedelic therapy has created a paradigm shift in the treatment of TRD, as it can maximize therapeutic benefits and minimize potential risks. Psilocybin holds promise as a potential game-changer in the treatment of TRD, with initial evidence suggesting a rapid antidepressant effect sustained for some responders for at least 3 months. Nevertheless, further adequately powered, double-blind, comparator-controlled trials are required to explore and clarify the mechanisms of action and long-term effects of psychedelics in TRD. Psychedelics also hold promise for other psychiatric conditions, such as bipolar depression and post-traumatic stress disorder.
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Affiliation(s)
- Michail Kalfas
- Department of Psychological Medicine, King's College London, London, UK
| | - Rosie H Taylor
- Department of Psychological Medicine, King's College London, London, UK
| | | | - Allan H Young
- Department of Psychological Medicine, King's College London, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
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Akram A, Al‐Sabahy M, Al‐Jedai A, Almudaiheem H, Farghally M, Fallata E, Alibrahim O, Shoukry T, Basu S, Chalouhi D, Elsharkawy A, Mohamed O. The clinical & economic burden of treatment-resistant depression in the Gulf-Cooperation Council: The Kingdom of Saudi Arabia, Kuwait and the United Arab Emirates. Int J Methods Psychiatr Res 2023; 32:e1952. [PMID: 36434774 PMCID: PMC10485320 DOI: 10.1002/mpr.1952] [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: 08/10/2022] [Revised: 09/23/2022] [Accepted: 09/29/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE The current analysis assessed the economic and clinical burden of treatment-Resistant Depression (TRD) imposed on the Kingdom of Saudi Arabia (KSA), Kuwait and United Arab Emirates (UAE) from the societal perspective. METHODS A Microsoft Excel® based Markov model was developed to estimate the overall burden of disease imposed by TRD across KSA, Kuwait and UAE. Data for the models' adaptation were retrieved from literature and validated by country-specific key opinion leaders. The cycle length and time horizon used in the model were 4 weeks and 1 year, respectively. RESULTS The study results estimated that at the end of 1-year time horizon, overall burden imposed by TRD was 3994, 982 and 670 million USD in KSA, Kuwait, and UAE, respectively. This can be attributed to the high cost incurred due to non-responsive health state (ranging from 44% to 47%). The productivity loss was either the greatest or second greatest component of TRD's burden in the countries of interest (ranging from 32% to 43%). CONCLUSIONS TRD represents a large clinical and economic burden on both individual patients and society. Hence, noval and innovative treatments are especially required for the management of TRD patients.
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Affiliation(s)
- Aly Akram
- Erfan and Begado General HospitalJeddahSaudi Arabia
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Prasartpornsirichoke J, Pityaratstian N, Poolvoralaks C, Sirinimnualkul N, Ormtavesub T, Hiranwattana N, Phonsit S, Rungnirundorn T. The prevalence and economic burden of treatment-resistant depression in Thailand. BMC Public Health 2023; 23:1541. [PMID: 37573321 PMCID: PMC10422729 DOI: 10.1186/s12889-023-16477-y] [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: 11/30/2022] [Accepted: 08/08/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND The objectives of this study were to investigate the proportion of treatment-resistant depression (TRD) among patients with diagnosed major depressive disorder (MDD) and undergoing antidepressant treatment, to estimate the economic cost of MDD, TRD, and non-treatment-resistant depression (non-TRD), and to examine the differences between TRD and non-TRD MDD in a Thai public tertiary hospital. METHODS This was a combined study between retrospective review of medical records and a cross-sectional survey. The sample size was 500 dyads of antidepressant-treated MDD patients and their unpaid caregivers. MDD patients' medical records, the concept of healthcare resource utilization, the Work Productivity and Activity Impairment Questionnaire: depression and mood & mental state versions (WPAI: D, MM), the Class Impairment Questionnaire (CIQ), and the Family Experiences Interview Schedule (FEIS) were applied as the tools of the study. Pearson Chi's square, Fisher's Exact test, and independent T-test were employed for statistical analysis. RESULTS The proportion of TRD was 19.6% among antidepressant-treated MDD patients in a Thai tertiary public hospital. The results of the study indicated that several factors showed a statistically significant association with TRD criteria. These factors included younger age of MDD patients, a younger age of onset of MDD, lower body mass index (BMI), a history of suicide attempts and self-harm, as well as frequent smoking behavior. The annualized economic cost of TRD was 276,059.97 baht per person ($7,668.33), which was significantly higher than that of cost of non-TRD (173,487.04 baht or $4,819.08). The aggregated economic costs of MDD were 96.8 million baht annually ($2.69 M) if calculated from 500 MDD patients and unpaid caregivers. This contributed to the economic cost of TRD 27.05 million baht (98 respondents) and the economic cost of non-TRD 69.74 million baht (402 respondents). CONCLUSIONS The economic burden associated with TRD was significantly higher compared to non-TRD among antidepressant-treated MDD patients. Specifically, both direct medical costs and indirect costs were notably elevated in the TRD group.
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Affiliation(s)
- Jirada Prasartpornsirichoke
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand.
| | - Nuttorn Pityaratstian
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand
- Department of Psychiatry, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | | | - Naphat Sirinimnualkul
- Department of Psychiatry, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- Excellence Center for Sleep Disorders, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | | | | | - Sasitorn Phonsit
- Department of Psychology, Faculty of Social Sciences, Kasetsart University, Bangkok, Thailand
| | - Teerayuth Rungnirundorn
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Road, Pathumwan, Bangkok, 10330, Thailand
- Department of Psychiatry, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
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Pan Y, Gorenflo MP, Davis PB, Kaelber DC, De Luca S, Xu R. Suicidal ideation and suicide attempt following ketamine prescription in patients with treatment-resistant depression: a nation-wide cohort study. RESEARCH SQUARE 2023:rs.3.rs-3207199. [PMID: 37609161 PMCID: PMC10441476 DOI: 10.21203/rs.3.rs-3207199/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Ketamine, including esketamine, is an effective treatment for patients with treatment-resistant depression (TRD); however, its long-term efficacy in real-world populations remains poorly characterized. This is a retrospective cohort study using TriNetX US Collaborative Network, a platform aggregating electronic health records (EHRs) data from 93 million patients from 56 health care organizations in the US, and the study population includes 321,367 patients with a diagnosis of TRD who were prescribed relevant treatment in their EHRs. The prescription of ketamine (including esketamine) was associated with significant decreased risk of suicidal ideation compared to prescription of other common antidepressants: HR = 0.65 (95% CI: 0.53 - 0.81) at 1 day - 7 days, 0.78 (95% CI: 0.66 - 0.92) at 1 day - 30 days, 0.81 (95% CI: 0.70 - 0.92) at 1 day - 90 days, 0.82 (95% CI: 0.72 - 0.92) at 1 day - 180 days, and 0.83 (95% CI: 0.74 - 0.93) at 1 day - 270 days. This trend was especially robust among adults over 24 years of age, males, and White patients with TRD. No significant difference was observed for suicide attempts, except significantly increased risk for adolescents (aged 10-24) at 1 day - 30 days with HR = 2.22 (95% CI: 1.01-4.87). This study provides real-world evidence that ketamine has long-term benefits in mitigating suicidal ideation in patients with treatment-resistant depression. Future work should focus on optimizing dosage regimens for ketamine, understanding the mechanism, and the difference in various demographic subpopulations.
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Affiliation(s)
- Yiheng Pan
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
- Department of Computer and Data Science, Case Western Reserve University, Cleveland, OH, USA
| | - Maria P. Gorenflo
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Pamela B. Davis
- Center for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - David C. Kaelber
- The Center for Clinical Informatics Research and Education, The MetroHealth System, Cleveland, OH, USA
| | - Susan De Luca
- Population Health Research Institute, The MetroHealth System, Cleveland, OH, USA
| | - Rong Xu
- Center for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
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