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Li K, Li T, Yang T, Lin Y, Liao Y, Gan Z. Prevalence of insulin resistance and its associated factors in drug-naïve patients with bipolar disorder among Han Chinese population. BMC Psychiatry 2024; 24:388. [PMID: 38783222 PMCID: PMC11112952 DOI: 10.1186/s12888-024-05838-5] [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: 12/24/2023] [Accepted: 05/13/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Metabolic syndrome (Mets) is commonly seen in bipolar disorder (BD). As the key component and early biological index of Mets, insulin resistance (IR) among BD has received more and more attention. However, little is known about the prevalence of IR and its associated factors in drug-naïve patients with (BD), especially among Han Chinese population. METHODS A cross-sectional study was conducted on 125 drug-naïve patients with bipolar disorder (BD) and 85 healthy controls (HC). The Homeostatic Model Assessment of insulin resistance (HOMA-IR) was calculated, and IR was defined as HOMA-IR greater than the 75th percentile value for health controls (2.35). Clinical characteristics of BD were collected through semi-structural interview performed by a trained interviewer with background of psychiatric education. RESULTS Among the measured anthropocentric variables including BMI, waist circumference, abdomen circumference, hipline, and hip-waist ratio, waist circumference was found to be the most closely related to IR (0R = 1.070, 95%CI = 1.031-1.110, P < 0.001). Male was another factor that was associated with IR (OR = 2.281, 95%CI = 1.107-4.702, P = 0.025). After adjusted for gender and waist circumference, the risk of IR was significantly higher in bipolar disorder than in healthy controls (OR = 2.66, 95%CI = 1.364-5.214, P = 0.004). No significant association was found between IR and any of the observed physical and mental comorbidities, any characteristic of illness course including age onset, number of mixed episodes, types of current state, duration of current episode, duration of illness course, rapid cycling, number of mood episodes, and subgroup of BD. Hypersomnia was the only symptomatic feature that was significantly associated with IR (OR = 0.316, 95%CI = 0.124-0.803, P = 0.016). CONCLUSIONS Bipolar disorder increases two-to-three-fold risk of IR, both circumference and male are the risk factors of IR but hypersomnia act as a protective factor.
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Affiliation(s)
- Kanglai Li
- Third Affiliated Hospital of Sun Yat-sen University, No. 600 of Tianhe Road, Guangzhou, Guangdong, China
| | - Tong Li
- Third Affiliated Hospital of Sun Yat-sen University, No. 600 of Tianhe Road, Guangzhou, Guangdong, China
| | - Ting Yang
- Third Affiliated Hospital of Sun Yat-sen University, No. 600 of Tianhe Road, Guangzhou, Guangdong, China
| | - Youzhen Lin
- Third Affiliated Hospital of Sun Yat-sen University, No. 600 of Tianhe Road, Guangzhou, Guangdong, China
| | - Yingtao Liao
- Third Affiliated Hospital of Sun Yat-sen University, No. 600 of Tianhe Road, Guangzhou, Guangdong, China
| | - Zhaoyu Gan
- Third Affiliated Hospital of Sun Yat-sen University, No. 600 of Tianhe Road, Guangzhou, Guangdong, China.
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Baek JH, Han K, Kim H, Yang K, Jeon HJ. Increased metabolic variability in Korean patients with new onset bipolar disorder: a nationwide cohort study. Front Psychiatry 2024; 14:1256458. [PMID: 38260805 PMCID: PMC10800849 DOI: 10.3389/fpsyt.2023.1256458] [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: 07/10/2023] [Accepted: 12/15/2023] [Indexed: 01/24/2024] Open
Abstract
Introduction The aim of this study was to determine associations between changes of metabolic parameters and the development of BD using nationally representative data. Methods We used health examination data provided by the South Korean National Health Insurance System (NHIS) (n = 8,326,953). The variability of each metabolic parameter including weight circumference, blood pressure, fasting blood glucose, high-density lipoprotein cholesterol, and triglyceride levels was caculated using variability independent of mean (VIM) indices. The presence of metabolic syndrome was associated with new onset BD. Each metabolic parameter with high variability was associated with a higher risk of new onset BD compared to those with low variability after adjusting for age, sex, smoking, alcohol drinking, regular exercise, income status, baseline diabetes, hypertension, and dyslipidemia. Results As the number of highly variable metabolic parameters increased, the risk for new onset depression also increased even after covariates adjustment. The associations between new onset BD and metabolic variability were greater in populations with age > 50 years. In addition, these associations remained significant after adjusting for the presence of depression prior to diagnoses of BD. Discussion Our results suggest possibility of metabolic variability as an independent environmental risk factor for BD even after adjusting for the presence of metabolic syndrome.
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Affiliation(s)
- Ji Hyun Baek
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Dauten Family Center for Bipolar Treatment Innovation, Massachusetts General Hospital, Boston, MA, United States
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Hyewon Kim
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Kyojin Yang
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Hong Jin Jeon
- Department of Psychiatry, Depression Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences & Technology, Department of Medical Device Management & Research, and Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
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3
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Tocco M, Newcomer JW, Mao Y, Pikalov A. Lurasidone and risk of metabolic syndrome: results from short and long-term studies in patients with bipolar depression. CNS Spectr 2023; 28:680-687. [PMID: 36961124 DOI: 10.1017/s1092852923001190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/25/2023]
Abstract
OBJECTIVE The elevated prevalence of metabolic syndrome (MetS) in patients with depression has been associated with increased mortality. This post hoc analysis assessed the effect of treatment with lurasidone on risk of MetS in patients with bipolar depression. METHODS Data used in the current analyses consisted of 3 double-blind (DB), placebo-controlled, 6-week studies in adults with bipolar I depression (N = 1192), consisting of 1 monotherapy, and 2 adjunctive trials (lithium or valproate). Also analyzed was a 6-month open-label (OL) extension study (monotherapy, N = 316; adjunctive therapy, N = 497); and a 5-month, OL, stabilization phase followed by randomization to a 28-week DB, placebo-controlled, adjunctive therapy study with lurasidone (N = 490). MetS was defined based on NCEP ATP III criteria (2005 revision). RESULTS The proportion of patients with new-onset MetS was similar for lurasidone vs placebo in the short-term studies (monotherapy, 13.9% vs 15.3%; adjunctive therapy, 13.6% vs 11.0%); and remained stable during both the 6-month extension phase study (monotherapy, 15.2%; adjunctive therapy, 16.9%), and the 5-month stabilization study (adjunctive therapy, 12.2%). After 28 weeks of DB treatment (following 5-month treatment in the stabilization study), new onset MetS was observed at endpoint (OC) in 26.2% of the lurasidone group, and 30.8% of the placebo group. CONCLUSIONS This post hoc analysis found that both short and long-term treatment with lurasidone was associated with a relatively low risk for the development of MetS in patients with bipolar I disorder. These findings are consistent with similar analyses in patients with schizophrenia.
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Affiliation(s)
- Michael Tocco
- Sunovion Pharmaceuticals Inc., Fort Lee, NJ, USA
- Sunovion Pharmaceuticals Inc., Marlborough, MA, USA
| | - John W Newcomer
- Thriving Mind South Florida, Miami, FL, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Yongcai Mao
- Sunovion Pharmaceuticals Inc., Fort Lee, NJ, USA
- Sunovion Pharmaceuticals Inc., Marlborough, MA, USA
| | - Andrei Pikalov
- Sunovion Pharmaceuticals Inc., Fort Lee, NJ, USA
- Sunovion Pharmaceuticals Inc., Marlborough, MA, USA
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4
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Tsai TH, Lu TH, Tseng HH, Chang WH, Wang TY, Yang YK, Chang HH, Chen PS. The relationship between peripheral insulin resistance and social cognitive deficits among euthymic patients with bipolar disorder. J Affect Disord 2023; 342:121-126. [PMID: 37683941 DOI: 10.1016/j.jad.2023.09.009] [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: 03/29/2023] [Revised: 09/04/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND Despite extensive literature documenting emotion-related social-cognitive deficits in euthymic patients with bipolar disorder (BD), the factors contributing to these deficits have not been definitively established. To address this gap, the present study aimed to examine the association between peripheral insulin resistance (IR) and emotion-related social-cognitive abilities in BD patients and controls. METHOD Sixty-five BD patients and 38 non-psychiatric controls were recruited, and their social cognitive ability and IR were measured using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the homeostasis model assessment of insulin resistance (HOMA-IR), respectively. RESULTS The study found that the BD patients scored significantly lower than the non-psychiatric controls in the task of emotional management. The BD patients had a higher mean HOMA-IR value as compared with the controls but this result was not statistically significant (p = 0.051). The interaction between BD diagnosis and HOMA-IR value was significant on the MSCEIT Facilitating emotions branch and Facilitation subscale (p = 0.024, p = 0.010), and post-hoc analyses revealed that the BD patients in the higher HOMA-IR group had significantly lower scores than BD patients in the lower HOMA-IR group and the non-psychiatric controls in the higher HOMA-IR group on both the MSCEIT Facilitating emotion branch and Facilitation subscale. LIMITATIONS Due to the cross-sectional nature of the study, causality could not be inferred. The study did not examine potential mediators or moderators between IR and social cognition. CONCLUSIONS The results suggested that BD patients with IR experience additional impairment in specific domains of social cognition.
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Affiliation(s)
- Tsung-Han Tsai
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Tsung-Hua Lu
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Huai-Hsuan Tseng
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Wei Hung Chang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan
| | - Tzu-Yun Wang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yen Kuang Yang
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Psychiatry, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan
| | - Hui Hua Chang
- Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan; School of Pharmacy, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Department of Pharmacy, National Cheng Kung University Hospital, Dou-Liou Branch, Yunlin, Taiwan
| | - Po See Chen
- Department of Psychiatry, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan; Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
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Miola A, Alvarez-Villalobos NA, Ruiz-Hernandez FG, De Filippis E, Veldic M, Prieto ML, Singh B, Sanchez Ruiz JA, Nunez NA, Resendez MG, Romo-Nava F, McElroy SL, Ozerdem A, Biernacka JM, Frye MA, Cuellar-Barboza AB. Insulin resistance in bipolar disorder: A systematic review of illness course and clinical correlates. J Affect Disord 2023; 334:1-11. [PMID: 37086806 DOI: 10.1016/j.jad.2023.04.068] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/06/2023] [Accepted: 04/16/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND Although insulin resistance (IR) and cardiometabolic syndrome are prevalent in patients with bipolar disorder (BD), only a few studies have attempted to precisely assess the degree and clinical impact of IR in BD. METHODS A comprehensive search was conducted from multiple research databases through May 2022, following a pre-defined protocol (PROSPERO: CRD42022359259). We extracted neuroimaging, cognition, illness course, and treatment response findings from individuals with BD with evidence of IR compared with euglycemic BD individuals. RESULTS Of 1436 identified articles, 10 reports fulfilling inclusion criteria were included (n = 1183). BD patients with IR displayed worse composite verbal memory scores and worse executive function and exhibited smaller hippocampal volumes along with prefrontal neurochemical alterations compared to euglycemic BD patients. Fixed-effect meta-analysis revealed that BD patients with impaired glucose metabolism (IGM) were more likely to develop a chronic and rapid cycling course when compared with euglycemic BD patients (k = 2, OR = 2.96, 95 % CI 1.69-5.17, OR = 2.88, 95 % CI 1.59-5.21, p < 0.001, respectively), with a trend for significantly lower Global Assessment of Functioning scores (k = 5, MD = -4, 95 % CI -8.23-0.23, p = 0.06). BD patients with IGM displayed a higher rate of poor response to mood stabilizers when compared with euglycemic BD patients (k = 2, OR = 6.74, 95 % CI 1.04-43.54, p = 0.04). LIMITATIONS Cross-sectional design and small sample sizes of studies included limit the generalizability of results. CONCLUSION IR is associated with worse clinical outcomes of BD and inadequate treatment response. Implementing strategies to prevent and treat IR in BD is crucial to improve the prognosis of such a difficult-to-treat population.
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Affiliation(s)
- Alessandro Miola
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Neri A Alvarez-Villalobos
- Department of Human Anatomy, School of Medicine, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
| | | | | | - Marin Veldic
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Miguel L Prieto
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry, Facultad de Medicina, Universidad de los Andes, Santiago, Chile; Mental Health Service,, Clínica Universidad de los Andes, Santiago, Chile; Center for Biomedical Research and Innovation, Universidad de los Andes, Santiago, Chile
| | - Balwinder Singh
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Nicolas A Nunez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Manuel Gardea Resendez
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico
| | - Francisco Romo-Nava
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Susan L McElroy
- Lindner Center of HOPE, Mason, OH, USA; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Aysegul Ozerdem
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Joanna M Biernacka
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Mark A Frye
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
| | - Alfredo B Cuellar-Barboza
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry, Universidad Autonoma de Nuevo Leon, Monterrey, Mexico.
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6
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Misiak B, Kowalski K, Stańczykiewicz B, Bartoli F, Carrà G, Samochowiec J, Samochowiec A, Frydecka D. Appetite-regulating hormones in bipolar disorder: A systematic review and meta-analysis. Front Neuroendocrinol 2022; 67:101013. [PMID: 35792198 DOI: 10.1016/j.yfrne.2022.101013] [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: 03/18/2022] [Revised: 06/21/2022] [Accepted: 06/29/2022] [Indexed: 11/04/2022]
Abstract
Impaired hormonal regulation of appetite may contribute to higher cardiovascular risk in bipolar disorder (BD). We performed a systematic review and meta-analysis of studies investigating peripheral blood levels of appetite-regulating hormones in BD and controls. A total of 32 studies were included. Leptin and insulin levels were significantly elevated in patients with BD during euthymia, but not in other mood states. Greater differences in the number of male participants between patients with BD and healthy controls were associated with higher effect size estimates for the levels of insulin. There were significant positive correlations of effect size estimates for the levels of adiponectin with the percentage of individuals with type I BD and duration of BD. Our findings point to the mechanisms underlying high rates of cardiometabolic comorbidities in BD. Moreover, they suggest that investigating hormonal regulation of appetite might help to understand differences in the neurobiology of BD types.
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Affiliation(s)
- Błażej Misiak
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland.
| | - Krzysztof Kowalski
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland
| | - Bartłomiej Stańczykiewicz
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland
| | - Francesco Bartoli
- Department of Medicine and Surgery, University of Milano Bicocca, Via Cadore 48 - 20900, Monza, Italy; Department of Mental Health & Addiction, ASST Nord Milano, Viale Matteotti, 83 - 20099, Sesto SG, Milano, Italy
| | - Giuseppe Carrà
- Department of Medicine and Surgery, University of Milano Bicocca, Via Cadore 48 - 20900, Monza, Italy; Department of Mental Health & Addiction, ASST Nord Milano, Viale Matteotti, 83 - 20099, Sesto SG, Milano, Italy; Division of Psychiatry, University College London, 149 Tottenham Court Road, W1T 7NF London, UK
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Broniewskiego 26 Street, 71-460 Szczecin, Poland
| | - Agnieszka Samochowiec
- Department of Clinical Psychology, Institute of Psychology, University of Szczecin, Krakowska 69 Street, 71-017 Szczecin, Poland
| | - Dorota Frydecka
- Department and Clinic of Psychiatry, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland
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Severe psychiatric disorders and general medical comorbidities: inflammation-related mechanisms and therapeutic opportunities. Clin Sci (Lond) 2022; 136:1257-1280. [PMID: 36062418 DOI: 10.1042/cs20211106] [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: 04/11/2022] [Revised: 08/16/2022] [Accepted: 08/22/2022] [Indexed: 11/17/2022]
Abstract
Individuals with severe psychiatric disorders, such as mood disorders and schizophrenia, are at increased risk of developing other medical conditions, especially cardiovascular and metabolic diseases. These medical conditions are underdiagnosed and undertreated in these patients contributing to their increased morbidity and mortality. The basis for this increased comorbidity is not well understood, possibly reflecting shared risks factors (e.g. lifestyle risk factors), shared biological mechanisms and/or reciprocal interactions. Among overlapping pathophysiological mechanisms, inflammation and related factors, such as dysbiosis and insulin resistance, stand out. Besides underlying the association between psychiatric disorders and cardiometabolic diseases, these mechanisms provide several potential therapeutic targets.
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8
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Sanchez-Autet M, Arranz B, Sierra P, Safont G, Garcia-Blanco A, de la Fuente L, Garriga M, Marín L, García-Portilla MP. Association between neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, and C-reactive protein levels and metabolic status in patients with a bipolar disorder. World J Biol Psychiatry 2022; 23:464-474. [PMID: 34856870 DOI: 10.1080/15622975.2021.2013089] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES Neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and C-Reactive Protein (CRP) are markers of inflammation that are elevated in bipolar disorder (BD) and are also related to a higher risk of metabolic syndrome (MetS). This study aimed at investigating for the first time the association between NLR, PLR, and CRP and the metabolic status in BD. METHODS We assessed the association between biomarkers and the metabolic status: number of metabolic risk factors, presence of MetS, insulin sensitivity (Quantitative Insulin Sensitivity Check Index, QUICKI) and insulin resistance (Homeostatic Model Assessment for Insulin Resistance, HOMA-IR index), in a sample of 219 outpatients with BD. RESULTS 25.9% of the sample met the criteria for MetS. High levels of CRP were found in 12% of the sample. Older age, low PLR, high NLR, and high CRP levels significantly predicted a higher number of MetS risk factors (p < 0.001). Older age and low PLR were associated with a greater likelihood of developing MetS (p = 0.007). CONCLUSIONS Although further studies are needed to replicate and validate these findings, inflammatory biomarkers as CRP, PLR and NLR could be useful tools to identify patients with a BD at risk for a metabolic adverse outcome.
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Affiliation(s)
| | - Belén Arranz
- Parc Sanitari Sant Joan de Deu, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Pilar Sierra
- Department of Psychiatry, La Fe University and Polytechnic Hospital, Valencia, Spain.,Department of Medicine, University of Valencia, Valencia, Spain
| | - Gemma Safont
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Hospital Universitari Mutua Terrassa, Barcelona, Spain
| | - Ana Garcia-Blanco
- Neonatal Research Unit, La Fe Health Research Institute, Valencia, Spain
| | - Lorena de la Fuente
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, University of Oviedo, Oviedo, Spain
| | - Marina Garriga
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Bipolar Disorder Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Lorena Marín
- Hospital Universitari Mutua Terrassa, Barcelona, Spain
| | - Maria Paz García-Portilla
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Department of Psychiatry, University of Oviedo, Oviedo, Spain
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9
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Martins LB, Braga Tibães JR, Berk M, Teixeira AL. Diabetes and mood disorders: shared mechanisms and therapeutic opportunities. Int J Psychiatry Clin Pract 2022; 26:183-195. [PMID: 34348557 DOI: 10.1080/13651501.2021.1957117] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The objective of this manuscript is to provide a comprehensive and critical overview of the current evidence on the association between Diabetes mellitus (DM) and mood disorders [i.e., Major depressive disorder (MDD) and bipolar disorder (BD)], and therapeutic opportunities. METHODS We searched in MEDLINE (via Ovid) for placebo-controlled clinical trials published in the last 20 years that assessed drug repurposing approaches for the treatment of DM or mood disorders. RESULTS We found seven studies that aimed to verify the effects of antidepressants in patients diagnosed with DM, and eight studies that tested the effect of antidiabetic drugs in patients diagnosed with MDD or BD. Most studies published in the last two decades did not report a positive effect of antidepressants on glycemic control in patients with DM. On the other hand, antidiabetic drugs seem to have a positive effect on the treatment of MDD and BD. CONCLUSIONS While effect of antidepressants on glycemic control in patients with DM is still controversial, the use of antidiabetic drugs may be a promising strategy for patients with MDD or BD. Prospective studies are still needed.Key pointsMood disorders in patients with DM affect glycemic control, potentially increasing mortality risk.The effect of antidepressants on glycemic control in patients with DM is still controversial. The coexistence of complicated DM and a mood disorders would require a careful, individualised, and comprehensive evaluation.Insulin resistance may increase the risk of depressive symptoms and is associated with worse outcomes in BD.The use antidiabetic drugs may be a promising strategy for patients with MDD or BD. However, prospective trials are needed to prove a potential antidepressant activity of antidiabetic drugs.
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Affiliation(s)
- Laís Bhering Martins
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.,Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Jenneffer Rayane Braga Tibães
- Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Department of Agricultural, Food and Nutritional Science, Division of Human Nutrition, University of Alberta, Edmonton, Canada
| | - Michael Berk
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Geelong, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health, Parkville, Australia.,Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Antonio Lucio Teixeira
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.,Instituto de Ensino e Pesquisa, Belo Horizonte, Brazil
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10
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Hsu HE, Chen PY, Chang HM, Pan CH, Su SS, Tsai SY, Chen CC, Kuo CJ. Incidence of and risk factors for alcohol dependence in bipolar disorder: A population-based cohort and nested case-control study. Aust N Z J Psychiatry 2022; 57:725-735. [PMID: 35642594 DOI: 10.1177/00048674221100153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Although alcohol dependence is highly prevalent in patients with bipolar disorder, the causal relationship is not yet well-established. This study estimated the incidence of alcohol dependence in a nationwide bipolar disorder cohort and examined risk factors for alcohol dependence. METHODS Patients aged 15-65 years with consistent bipolar disorder who had their first psychiatric admission between 1999 and 2012 (n = 21,791) were enrolled from the National Health Insurance Research Database in Taiwan. We calculated the adjusted incidence rate ratio of alcohol dependence in the bipolar cohort relative to the general population after stratification by age and sex. In the nested case-control study, we included patients with incident alcohol dependence as cases and four age- and sex-matched controls for each case to analyze health care utilization, comorbidities and concomitant medications between them. RESULTS We identified 1261 patients with bipolar disorder with incident alcohol dependence. Relative to the general population, the adjusted incidence rate ratio of alcohol dependence was 9.20 in the bipolar cohort. All adjusted incidence rate ratios were high across all age subgroups. Cases had higher psychiatric and nonpsychiatric health care utilization than did controls. Multivariate analysis revealed that cases tended to have cardiovascular disease, diabetes mellitus, chronic hepatic disease, pneumonia and delirium before alcohol dependence diagnosis. Cases had higher psychiatric comorbidities, namely drug-induced mental disorders, anxiety disorder, personality disorder, adjustment disorder and sleep disorder. CONCLUSION The bipolar cohort had a higher incidence of alcohol dependence. We identified specific groups with a high risk of alcohol dependence. Additional strategies for early detection, treatment and intervention for alcohol dependence should be developed.
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Affiliation(s)
- Haw-En Hsu
- Department of General Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei
| | - Po-Yu Chen
- Department of General Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei
| | - Hu-Ming Chang
- Department of General Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei
| | - Chun-Hung Pan
- Department of General Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei.,Department of Psychology, National Chengchi University, Taipei
| | - Sheng-Shiang Su
- Department of General Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei
| | - Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei.,Psychiatric Research Center, Taipei Medical University Hospital, Taipei
| | - Chiao-Chicy Chen
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei.,Department of Psychiatry, Mackay Memorial Hospital, Taipei.,Department of Psychiatry, Mackay Medical College, Taipei
| | - Chian-Jue Kuo
- Department of General Psychiatry, Taipei City Psychiatric Center, Taipei City Hospital, Taipei.,Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei.,Psychiatric Research Center, Taipei Medical University Hospital, Taipei
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11
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Horsager C, Faerk E, Lauritsen MB, Østergaard SD. Food addiction comorbid to mental disorders: A nationwide survey and register-based study. Int J Eat Disord 2021; 54:545-560. [PMID: 33458821 DOI: 10.1002/eat.23472] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 12/30/2020] [Accepted: 12/30/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Substance use disorder is highly prevalent among individuals with mental disorders. However, it remains largely unknown whether this is also the case for "food addiction"-a phenotype characterized by an addiction-like attraction to predominantly highly processed foods with a high content of refined carbohydrates and fat. Therefore, the primary aim of this study was to estimate the weighted prevalence of food addiction among individuals with mental disorders. METHOD A total of 5,000 individuals aged 18-62 were randomly drawn from eight categories of major mental disorders from the Danish Psychiatric Central Research Register and invited to participate in an online questionnaire-based survey, which included the Yale Food Addiction Scale 2.0. Data on health care and sociodemographics from the Danish registers were linked to all invitees-enabling comprehensive attrition analysis and calculation of the weighted prevalence of food addiction. RESULTS A total of 1,394 (27.9%) invitees participated in the survey. Across all diagnostic categories, 23.7% met the criteria for food addiction. The weighted prevalence of food addiction was highest among individuals with eating disorders (47.7%, 95%CI: 41.2-54.2), followed by affective disorders (29.4%, 95%CI: 22.9-36.0) and personality disorders (29.0%, 95%CI: 22.2-35.9). When stratifying on sex, the prevalence of food addiction was higher among women in most diagnostic categories. DISCUSSION Food addiction is highly prevalent among individuals with mental disorders, especially in those with eating disorders, affective disorders and personality disorders. Food addiction may be an important target for efforts aimed at reducing obesity among individuals with mental disorders.
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Affiliation(s)
- Christina Horsager
- Aalborg University Hospital, Psychiatry, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Emil Faerk
- Aalborg University Hospital, Psychiatry, Aalborg, Denmark
| | - Marlene Briciet Lauritsen
- Aalborg University Hospital, Psychiatry, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Søren Dinesen Østergaard
- Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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12
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Exploring brain insulin resistance in adults with bipolar depression using extracellular vesicles of neuronal origin. J Psychiatr Res 2021; 133:82-92. [PMID: 33316649 PMCID: PMC7855678 DOI: 10.1016/j.jpsychires.2020.12.007] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 11/20/2020] [Accepted: 12/01/2020] [Indexed: 12/13/2022]
Abstract
Accumulating evidence suggests that disrupted insulin signaling is involved in bipolar disorder (BD) pathogenesis. Herein, we aimed to directly explore the potential role of neuronal insulin signaling using an innovative technique based on biomarkers derived from plasma extracellular vesicles enriched for neuronal origin (NEVs). We leveraged plasma samples from a randomized, double-blind, placebo-controlled, 12-week clinical trial evaluating infliximab as a treatment of bipolar depression. We isolated NEVs using immunoprecipitation against neuronal marker L1CAM from samples collected at baseline and weeks 2, 6 and 12 (endpoint) and measured NEV biomarkers using immunoassays. We assessed neuronal insulin signaling at its first node (IRS-1) and along the canonical (Akt, GSK-3β, p70S6K) and alternative (ERK1/2, JNK and p38-MAPK) pathways. A subset of participants (n = 27) also underwent whole-brain magnetic resonance imaging (MRI) at baseline and endpoint. Pre-treatment, NEV biomarkers of insulin signaling were independently associated with cognitive function and MRI measures (i.e. hippocampal and ventromedial prefrontal cortex [vmPFC] volumes). In fact, the association between IRS-1 phosphorylation at serine site 312 (pS312-IRS-1), an indicator of insulin resistance, and cognitive dysfunction was mediated by vmPFC volume. In the longitudinal analysis, patients treated with infliximab, a tumor necrosis factor-alpha antagonist with known insulin sensitizing properties, compared to those treated with placebo, had augmented phosphorylation of proteins from the alternative pathway. Infliximab responders had significant increases in phosphorylated JNK levels, relative to infliximab non-responders and placebo responders. In addition, treatment with infliximab resulted in increase in MRI measures of brain volume; treatment-related changes in the dorsolateral prefrontal cortex volume were mediated by changes in biomarkers from the insulin alternative pathway. In conclusion, our findings support the idea that brain insulin signaling is a target for further mechanistic and therapeutic investigations.
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13
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Fusar-Poli L, Amerio A, Cimpoesu P, Natale A, Salvi V, Zappa G, Serafini G, Amore M, Aguglia E, Aguglia A. Lipid and Glycemic Profiles in Patients with Bipolar Disorder: Cholesterol Levels Are Reduced in Mania. ACTA ACUST UNITED AC 2020; 57:medicina57010028. [PMID: 33396922 PMCID: PMC7824186 DOI: 10.3390/medicina57010028] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 12/24/2020] [Accepted: 12/27/2020] [Indexed: 12/20/2022]
Abstract
Background and Objectives: Bipolar disorder (BD) is a severe mental condition with a lifetime prevalence estimated around 2% among the general population. Due to risk factors, etiological mechanisms, and the chronic use of psychotropic medications, people with BD are frequently affected by medical comorbidities, such as metabolic syndrome (MetS), associated with altered blood levels of glucose, cholesterol, and triglycerides. Moreover, the lipid concentration may be associated with the severity of psychiatric symptoms. Materials and Methods: Five hundred and forty-two in- and outpatients (418 affected by BD and 124 affected by schizophrenia) were recruited in two Italian university hospitals. A blood examination assessing the fasting glucose, total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides was performed. Results: No significant differences were found in the lipid and glycemic profiles between patients with BD and schizophrenia. When considering only the BD sample, we found that patients experiencing a manic episode had significantly lower total cholesterol, HDL, and LDL than euthymic patients. Moreover, the total and LDL cholesterol levels were significantly lower in (hypo)manic than depressed patients. Mood episodes did not influence the triglyceride and glucose levels in our sample. Conclusions: Clinicians should pay attention to blood cholesterol levels in patients with BD, as differences in concentrations may predispose them to severe medical conditions and can be associated with the onset of mood episodes.
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Affiliation(s)
- Laura Fusar-Poli
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, 95123 Catania, Italy; (A.N.); (E.A.)
- Correspondence: ; Tel.: +39-095-378-2470
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, 16123 Genoa, Italy; (A.A.); (P.C.); (G.Z.); (G.S.); (M.A.); (A.A.)
- IRCCS Ospedale Policlinico San Martino, 16123 Genoa, Italy
- Department of Psychiatry, Tufts University, Boston, MA 02111, USA
| | - Patriciu Cimpoesu
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, 16123 Genoa, Italy; (A.A.); (P.C.); (G.Z.); (G.S.); (M.A.); (A.A.)
- IRCCS Ospedale Policlinico San Martino, 16123 Genoa, Italy
| | - Antimo Natale
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, 95123 Catania, Italy; (A.N.); (E.A.)
| | - Virginio Salvi
- Department of Clinical Neurosciences, Polytechnic University of Marche, 60121 Ancona, Italy;
| | - Guendalina Zappa
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, 16123 Genoa, Italy; (A.A.); (P.C.); (G.Z.); (G.S.); (M.A.); (A.A.)
- IRCCS Ospedale Policlinico San Martino, 16123 Genoa, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, 16123 Genoa, Italy; (A.A.); (P.C.); (G.Z.); (G.S.); (M.A.); (A.A.)
- IRCCS Ospedale Policlinico San Martino, 16123 Genoa, Italy
| | - Mario Amore
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, 16123 Genoa, Italy; (A.A.); (P.C.); (G.Z.); (G.S.); (M.A.); (A.A.)
- IRCCS Ospedale Policlinico San Martino, 16123 Genoa, Italy
| | - Eugenio Aguglia
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, 95123 Catania, Italy; (A.N.); (E.A.)
| | - Andrea Aguglia
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, 16123 Genoa, Italy; (A.A.); (P.C.); (G.Z.); (G.S.); (M.A.); (A.A.)
- IRCCS Ospedale Policlinico San Martino, 16123 Genoa, Italy
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14
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Mazereel V, Detraux J, Vancampfort D, van Winkel R, De Hert M. Impact of Psychotropic Medication Effects on Obesity and the Metabolic Syndrome in People With Serious Mental Illness. Front Endocrinol (Lausanne) 2020; 11:573479. [PMID: 33162935 PMCID: PMC7581736 DOI: 10.3389/fendo.2020.573479] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 09/23/2020] [Indexed: 12/12/2022] Open
Abstract
People with serious mental illness (SMI), including schizophrenia, bipolar disorder, and major depressive disorder, have a higher mortality rate and shortened life expectancy. This is mainly attributable to physical diseases, particularly cardiovascular diseases (CVDs). Important risk factors for CVDs are obesity and other metabolic abnormalities, which are especially prevalent in people with SMI. Several factors contribute to this increased risk, including unhealthy lifestyles. Psychotropic medication independently further increases this risk. In this review we want to examine the relationship between obesity and other components of the metabolic syndrome and psychotropic medication in people with SMI.
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Affiliation(s)
- Victor Mazereel
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Johan Detraux
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Davy Vancampfort
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Ruud van Winkel
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Marc De Hert
- Department of Neurosciences, Center for Clinical Psychiatry, KU Leuven, Leuven, Belgium
- University Psychiatric Center, KU Leuven, Kortenberg, Belgium
- Antwerp Health Law and Ethics Chair, AHLEC University Antwerpen, Antwerp, Belgium
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15
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Ottesen NM, Meluken I, Frikke-Schmidt R, Plomgaard P, Scheike T, Fernandes BS, Berk M, Poulsen HE, Kessing LV, Miskowiak K, Vinberg M. Are remitted affective disorders and familial risk of affective disorders associated with metabolic syndrome, inflammation and oxidative stress? - a monozygotic twin study. Psychol Med 2020; 50:1736-1745. [PMID: 31482770 DOI: 10.1017/s003329171900182x] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Metabolic syndrome (MetS) is associated with reduced life expectancy in patients with affective disorders, however, whether MetS also plays a role before the onset of affective disorder is unknown. We aimed to investigate whether MetS, inflammatory markers or oxidative stress act as risk factors for affective disorders, and whether MetS is associated with increased inflammation and oxidative stress. METHODS We conducted a high-risk study including 204 monozygotic (MZ) twins with unipolar or bipolar disorder in remission or partial remission (affected), their unaffected co-twins (high-risk) and twins with no personal or family history of affective disorder (low-risk). Metabolic Syndrome was ascertained according to the International Diabetes Federation (IDF) criteria. Inflammatory markers and markers of oxidative stress were analyzed from fasting blood and urine samples, respectively. RESULTS The affected and the high-risk group had a significantly higher prevalence of MetS compared to the low-risk group (20% v. 15% v. 2.5%, p = 0.0006), even after adjusting for sex, age, smoking and alcohol consumption. No differences in inflammatory and oxidative markers were seen between the three groups. Further, MetS was associated with alterations in inflammatory markers, and oxidative stress was modestly correlated with inflammation. CONCLUSION Metabolic syndrome is associated with low-grade inflammation and may act as a risk factor and a trait marker for affective disorders. If confirmed in longitudinal studies, this suggests the importance of early intervention and preventive approaches targeted towards unhealthy lifestyle factors that may contribute to later psychopathology.
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Affiliation(s)
- Ninja Meinhard Ottesen
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Iselin Meluken
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Ruth Frikke-Schmidt
- Department of Clinical Biochemistry Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Plomgaard
- Department of Clinical Biochemistry Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thomas Scheike
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Brisa S Fernandes
- Centre for Addiction and Mental Health (CAMH) and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Michael Berk
- Deakin University, IMPACT Strategic Research Centre, School of Medicine, Geelong, Australia
- Orygen, the National Centre of Excellence in Youth Mental Health, the Florey Institute for Neuroscience and Mental Health, and the Department of Psychiatry, University of Melbourne, Parkville, Australia
| | - Henrik Enghusen Poulsen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Pharmacology, Bispebjerg Frederiksberg Hospital, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Kamilla Miskowiak
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
| | - Maj Vinberg
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Rigshospitalet, Copenhagen, Denmark
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16
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Kucukgoncu S, Guloksuz S, Celik K, Bahtiyar MO, Luykx JJ, Rutten BPF, Tek C. Antipsychotic Exposure in Pregnancy and the Risk of Gestational Diabetes: A Systematic Review and Meta-analysis. Schizophr Bull 2020; 46:311-318. [PMID: 31167033 PMCID: PMC7442324 DOI: 10.1093/schbul/sbz058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND We have limited knowledge about the effects of antipsychotic exposure on the development of gestational diabetes mellitus (GDM). Aim of this study is to perform a systematic review and meta-analysis to assess GDM risk associated with antipsychotic exposure in pregnancy. METHODS Systematic literature search was performed using PubMed, Science Direct, Scopus, and Web of Science databases up to August 22, 2018. No restrictions to language or date were applied. Randomized, controlled trials, case-control, or cohort studies reporting GDM risk in antipsychotic-exposed, healthy controls or antipsychotic-ceased patients were included in the meta-analysis. The primary outcomes were study defined GDM, including number of events, odds ratios, and/or risk ratios (RR) with confidence intervals (CI). RESULTS Ten studies were included in the meta-analysis. The total number of subjects was 6213 for the antipsychotic-exposed group, 6836 for antipsychotic-ceased control group, and 1 677 087 for the healthy control group. Compared with the healthy controls, the unadjusted cumulative RR for GDM associated with antipsychotic use was 1.63 (95% CI = 1.20-2.22). Adjusted risk for GDM was significantly higher in antipsychotic exposure group than in healthy controls (RR = 1.30, 95% CI = 1.023-1.660). The adjusted RR for GDM was similar between the antipsychotic-exposed group and the antipsychotic-ceased group (RR = 0.78, 95% CI = 0.281-2.164). No significant association was found between study quality, smoking, alcohol use, gestational age, and cumulative GDM risk. DISCUSSION Our results indicate an increased risk of GDM with antipsychotic exposure in pregnant women, who may benefit from close pregnancy monitoring, early testing for GDM, targeting modifiable risk factors, and lifestyle modifications.
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Affiliation(s)
- Suat Kucukgoncu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,To whom correspondence should be addressed; Department of Psychiatry, Yale University, 34 Park Street, Room 10, New Haven, CT 06519, US; tel: +1-203-974-7810, fax: +1-203-974-7502, e-mail:
| | - Sinan Guloksuz
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,Maastricht University Medical Center, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht, The Nederlands
| | - Kubra Celik
- Faculty of Medicine Ankara, Yildirim Beyazit University, Ankara, Turkey
| | - Mert Ozan Bahtiyar
- Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, New Haven, CT
| | - Jurjen J Luykx
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Bart P F Rutten
- Maastricht University Medical Center, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht, The Nederlands
| | - Cenk Tek
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
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17
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Kucukgoncu S, Kosir U, Zhou E, Sullivan E, Srihari VH, Tek C. Glucose metabolism dysregulation at the onset of mental illness is not limited to first episode psychosis: A systematic review and meta-analysis. Early Interv Psychiatry 2019; 13:1021-1031. [PMID: 30277314 PMCID: PMC6445792 DOI: 10.1111/eip.12749] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Revised: 05/16/2018] [Accepted: 09/09/2018] [Indexed: 12/15/2022]
Abstract
AIM To compare the differences of glucose metabolism outcomes between treatment-naïve, patients with first episode psychosis (FEP) and mood disorders. METHODS We conducted a systematic review and meta-analysis of glucose intolerance in treatment-naïve, first episode patients with severe mental illnesses (SMIs). RESULTS We identified 31 eligible studies. Compared to healthy controls, FEP group have higher insulin and insulin resistance levels, and both groups have higher glucose tolerance test results. No significant differences were found in glucose metabolism outcomes between FEP and mood disorder groups. CONCLUSIONS Our results highlight impaired glucose metabolism at the onset of SMIs, suggesting both patients with psychosis and mood disorders are high-risk groups for diabetes development.
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Affiliation(s)
- Suat Kucukgoncu
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Urska Kosir
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Elton Zhou
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Erin Sullivan
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Vinod H Srihari
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
| | - Cenk Tek
- Yale University Department of Psychiatry, Connecticut Mental Health Hospital, New Haven, Connecticut
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18
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Coello K, Kjærstad HL, Stanislaus S, Melbye S, Faurholt-Jepsen M, Miskowiak KW, McIntyre RS, Vinberg M, Kessing LV, Munkholm K. Thirty-year cardiovascular risk score in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives. Aust N Z J Psychiatry 2019; 53:651-662. [PMID: 30518229 DOI: 10.1177/0004867418815987] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Bipolar disorder is associated with a decreased life expectancy of 8-12 years. Cardiovascular disease is the leading cause of excess mortality. For the first time, we investigated the Framingham 30-year risk score of cardiovascular disease in patients with newly diagnosed/first-episode bipolar disorder, their unaffected first-degree relatives and healthy individuals. METHODS In a cross-sectional study, we compared the Framingham 30-year risk score of cardiovascular disease in 221 patients with newly diagnosed/first-episode bipolar disorder, 50 of their unaffected first-degree relatives and 119 healthy age- and sex-matched individuals with no personal or first-degree family history of affective disorder. Among patients with bipolar disorder, we further investigated medication- and illness-related variables associated with cardiovascular risk. RESULTS The 30-year risk of cardiovascular disease was 98.5% higher in patients with bipolar disorder (p = 0.017) and 85.4% higher in unaffected first-degree relatives (p = 0.042) compared with healthy individuals in models adjusted for age and sex. When categorizing participants in low cardiovascular risk without considering age and sex distribution among participants, 81% of patients were at low risk, versus 92% of unaffected relatives and 89% of healthy individuals. Of the patients 209 (94.6%) were diagnosed within the preceding 2 years. Smoking was more prevalent among patients with bipolar disorder (45.2%) and their unaffected first-degree relatives (20.4%) compared with healthy individuals (12.8%). Similarly, dyslipidemia was more common among patients with bipolar disorder compared with healthy individuals. Treatment with psychotropic medication with metabolic adverse effects was associated with higher 30-year cardiovascular disease risk score, whereas we did not find illness-related variables associated with cardiovascular risk among patients with bipolar disorder. CONCLUSION We found an enhanced cardiovascular disease risk score in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives, which points to a need for specific primary preventive interventions against smoking and dyslipidemia in these populations.
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Affiliation(s)
- Klara Coello
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Hanne L Kjærstad
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Sharleny Stanislaus
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Sigurd Melbye
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Maria Faurholt-Jepsen
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Roger S McIntyre
- 2 Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada
| | - Maj Vinberg
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Lars V Kessing
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Klaus Munkholm
- 1 The Copenhagen Affective Disorder Research Center (CADIC), Psychiatric Center Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
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19
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So HC, Chau KL, Ao FK, Mo CH, Sham PC. Exploring shared genetic bases and causal relationships of schizophrenia and bipolar disorder with 28 cardiovascular and metabolic traits. Psychol Med 2019; 49:1286-1298. [PMID: 30045777 DOI: 10.1017/s0033291718001812] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND Cardiovascular diseases represent a major health issue in patients with schizophrenia (SCZ) and bipolar disorder (BD), but the exact nature of cardiometabolic (CM) abnormalities involved and the underlying mechanisms remain unclear. Psychiatric medications are known risk factors, but it is unclear whether there is a connection between the disorders (SCZ/BD) themselves and CM abnormalities. METHODS Using polygenic risk scores and linkage disequilibrium score regression, we investigated the shared genetic bases of SCZ and BD with 28 CM traits. We performed Mendelian randomization (MR) to elucidate causal relationships between the two groups of disorders. The analysis was based on large-scale meta-analyses of genome-wide association studies. We also identified the potential shared genetic variants and inferred the pathways involved. RESULTS We found tentative polygenic associations of SCZ with glucose metabolism abnormalities, adverse adipokine profiles, increased waist-to-hip ratio and visceral adiposity (false discovery rate or FDR<0.05). However, there was an inverse association with body mass index. For BD, we observed several polygenic associations with favorable CM profiles at FDR<0.05. MR analysis showed that SCZ may be causally linked to raised triglyceride and that lower fasting glucose may be linked to BD. We also identified numerous single nucleotide polymorphisms and pathways shared between SCZ/BD with CM traits, some of which are related to inflammation or the immune system. CONCLUSIONS Our findings suggest that SCZ patients may be genetically predisposed to several CM abnormalities independent of medication side effects. On the other hand, CM abnormalities in BD may be more likely to be secondary. However, the findings require further validation.
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Affiliation(s)
- Hon-Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Kwan-Long Chau
- School of Biomedical Sciences, The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Fu-Kiu Ao
- School of Biomedical Sciences, The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Cheuk-Hei Mo
- Faculty of Medicine,The Chinese University of Hong Kong,Shatin,Hong Kong
| | - Pak-Chung Sham
- Department of Psychiatry,University of Hong Kong,Pokfulam,Hong Kong
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20
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Coello K, Vinberg M, Knop FK, Pedersen BK, McIntyre RS, Kessing LV, Munkholm K. Metabolic profile in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives. Int J Bipolar Disord 2019; 7:8. [PMID: 30937579 PMCID: PMC6443746 DOI: 10.1186/s40345-019-0142-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 01/19/2019] [Indexed: 02/07/2023] Open
Abstract
Objective The prevalence of metabolic syndrome and insulin resistance is twice as high in patients with bipolar disorder compared with the general population, and possibly associated with a disabling illness trajectory of bipolar disorder, an increased risk of cardiovascular disease and premature death. Despite these detrimental effects, the prevalence of metabolic syndrome and insulin resistance in patients newly diagnosed with bipolar disorder and their unaffected first-degree relatives is largely unknown. Methods In a cross-sectional study of 206 patients with newly diagnosed bipolar disorder, 50 of their unaffected first-degree relatives and 109 healthy age- and sex-matched individuals, we compared the prevalence of metabolic syndrome and insulin resistance (HOMA-IR). In patients with bipolar disorder, we further investigated illness and medication variables associated with the metabolic syndrome and insulin resistance. Results Higher rates of metabolic syndrome (odds ratio = 3.529, 95% CI 1.378–9.041, P = 0.009) and levels of insulin resistance (B = 1.203, 95% CI 1.059–1.367, P = 0.005) were found in patients newly diagnosed with bipolar disorder, but not in their unaffected first-degree relatives compared with matched healthy individuals (data adjusted for sex and age). Most patients with bipolar disorder (94.7%) were diagnosed within the preceding 2 years, and the average illness duration, defined as time from first mood episode, was 10 years. Conclusion Our findings of elevated prevalence of metabolic syndrome and insulin resistance in patients with newly diagnosed bipolar disorder highlight the importance of screening for these conditions at an early stage to employ adequate and early care reducing the risk of cardiovascular disease and premature death.
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Affiliation(s)
- Klara Coello
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Department O, 6243, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark. .,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Maj Vinberg
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Department O, 6243, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Filip K Knop
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Clinical Metabolic Physiology, Steno Diabetes Center Copenhagen, Gentofte Hospital, Hellerup, Denmark
| | - Bente K Pedersen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Centre of Inflammation and Metabolism (CIM) and the Centre for Physical Activity Research (CFAS), Rigshospitalet, Copenhagen, Denmark
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada
| | - Lars V Kessing
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Department O, 6243, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Munkholm
- Copenhagen Affective Disorders Research Centre (CADIC), Psychiatric Center Copenhagen, Department O, 6243, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark
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21
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Impaired Glucose Metabolism in Bipolar Patients: The Role of Psychiatrists in Its Detection and Management. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16071132. [PMID: 30934836 PMCID: PMC6480108 DOI: 10.3390/ijerph16071132] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 03/25/2019] [Accepted: 03/26/2019] [Indexed: 12/12/2022]
Abstract
Bipolar patients have a higher risk of type 2 diabetes and obesity, which are associated with cardiovascular diseases as the leading cause of death in this group. Additionally, there is growing evidence that impaired glucose metabolism in bipolar patients is associated with rapid cycling, poor response to mood stabilizers and chronic course of illness. The aim of the study was to assess the prevalence of type 2 diabetes and other types of impaired glucose metabolism in bipolar patients along with an evaluation of the Fasting Triglycerides and Glucose Index (TyG) as a method of the insulin sensitivity assessment. The analysis of fasting glycemia, insulinemia and lipid profile in euthymic bipolar patients was performed, and the Homeostasis model assessment for insulin resistance (HOMA-IR) and TyG were computed. Type 2 diabetes was observed in 9% and insulin resistance with HOMA-IR in 48% of patients. The TyG and HOMA-IR indices were correlated (p < 0.0001), the TyG index value of 4.7 had the highest sensitivity and specificity for insulin resistance detection. The usefulness of TyG in the recognition of insulin resistance in bipolar patients was suggested. The significant role of psychiatrists in the detection and management of impaired glucose metabolism in bipolar patients was presented.
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22
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Arranz B, Sanchez-Autet M, San L, Safont G, Fuente-Tomás LDL, Hernandez C, Bogas JL, García-Portilla MP. Are plasma 25-hydroxyvitamin D and retinol levels and one-carbon metabolism related to metabolic syndrome in patients with a severe mental disorder? Psychiatry Res 2019; 273:22-29. [PMID: 30639560 DOI: 10.1016/j.psychres.2019.01.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Revised: 12/15/2018] [Accepted: 01/01/2019] [Indexed: 11/27/2022]
Abstract
There is a scarcity of studies assessing the influence of biomarkers in metabolic syndrome in psychiatric patients. Our aim was to correlate serum or plasma levels of 25-hydroxyvitamin D (25-OH-VD), retinol, vitamin B12 (VB12), folate and homocysteine (Hcy), with the metabolic status, in a sample of 289 outpatients with Schizophrenia or Bipolar Disorder. Logistic regression and multiple linear regressions were performed to assess the ability of biomarkers to predict the presence of MetS, the number of risk factors for MetS, and insulin resistance indexes (HOMA and QUICKI). Regarding the association between biomarkers and the QUICKI index, the model explained 6.8% of the variance, with folate and 25-OH-VD levels contributing significantly to the model. The model predicting the number of MetS risk factors was significant and explained 21.7% of the variance, being 25-OH-VD and retinol the statistically significant factors. As for the impact of biomarkers on MetS, the model was statistically significant, being 25-OH-VD and retinol levels the significant factors. We report for the first time an association between MetS and both low 25-OH-VD and high retinol concentrations. Inflammation-related biomarkers may help identify patients with a high risk of MetS who might benefit from healthy lifestyle counselling and early intervention.
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Affiliation(s)
- Belén Arranz
- Parc Sanitari Sant Joan de Déu, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Mónica Sanchez-Autet
- Parc Sanitari Sant Joan de Déu, Barcelona, Spain; University of Barcelona, Barcelona, Spain.
| | - Luis San
- Parc Sanitari Sant Joan de Déu, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; University of Barcelona, Barcelona, Spain
| | - Gemma Safont
- Hospital Universitari Mutua Terrassa, Terrassa, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; University of Barcelona, Barcelona, Spain
| | - Lorena De La Fuente-Tomás
- Department of Psychiatry, University of Oviedo, Oviedo, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | | | | | - María Paz García-Portilla
- Department of Psychiatry, University of Oviedo, Oviedo, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
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23
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Anjum S, Bathla M, Panchal S. Prevalence and predictors of metabolic syndrome in drug naïve bipolar patients. Diabetes Metab Syndr 2019; 13:12-17. [PMID: 30641682 DOI: 10.1016/j.dsx.2018.08.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 08/09/2018] [Indexed: 02/06/2023]
Affiliation(s)
- Shazia Anjum
- MM Institute of Medical Sciences and Research, Mullana, Ambala, India
| | - Manish Bathla
- MM Institute of Medical Sciences and Research, Mullana, Ambala, India.
| | - Saminder Panchal
- MM Institute of Medical Sciences and Research, Mullana, Ambala, India
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Penninx BWJH, Lange SMM. Metabolic syndrome in psychiatric patients: overview, mechanisms, and implications. DIALOGUES IN CLINICAL NEUROSCIENCE 2018. [PMID: 29946213 PMCID: PMC6016046 DOI: 10.31887/dcns.2018.20.1/bpenninx] [Citation(s) in RCA: 264] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Psychiatric patients have a greater risk of premature mortality, predominantly due to cardiovascular diseases (CVDs). Convincing evidence shows that psychiatric conditions are characterized by an increased risk of metabolic syndrome (MetS), a clustering of cardiovascular risk factors including dyslipidemia, abdominal obesity, hypertension, and hyperglycemia. This increased risk is present for a range of psychiatric conditions, including major depressive disorder (MDD), bipolar disorder (BD), schizophrenia, anxiety disorder, attention-deficit/hyperactivity disorder (ADHD), and posttraumatic stress disorder (PTSD). There is some evidence for a dose-response association with the severity and duration of symptoms and for a bidirectional longitudinal impact between psychiatric disorders and MetS. Associations generally seem stronger with abdominal obesity and dyslipidemia dysregulations than with hypertension. Contributing mechanisms are an unhealthy lifestyle and a poor adherence to medical regimen, which are prevalent among psychiatric patients. Specific psychotropic medications have also shown a profound impact in increasing MetS dysregulations. Finally, pleiotropy in genetic vulnerability and pathophysiological mechanisms, such as those leading to the increased central and peripheral activation of immunometabolic or endocrine systems, plays a role in both MetS and psychiatric disorder development. The excess risk of MetS and its unfavorable somatic health consequences justifies a high priority for future research, prevention, close monitoring, and treatment to reduce MetS in the vulnerable psychiatric patient.
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Affiliation(s)
- Brenda W J H Penninx
- Department of Psychiatry, VU University Medical Center & GGZ InGeest, Amsterdam, The Netherlands
| | - Sjors M M Lange
- Department of Psychiatry, VU University Medical Center & GGZ InGeest, Amsterdam, The Netherlands
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Abstract
PURPOSE OF REVIEW Bipolar disorder (BD) medical comorbidity presents significant clinical and public health concerns with serious impact on health. The aim of this article is to present an updated narrative review of original research articles (case control, longitudinal cohort, and cross-sectional studies) and meta-analyses published in English language journals from January 2013 to May 2017 focusing on general medical comorbidity in BD, including the added risks of iatrogenic factors relevant to the treatment of BD. RECENT FINDINGS We found numerous patterns of association between BD and various medical disorders involving multiple organ systems. One pattern indicated reciprocal increase in the rate of each comorbid condition, such as an increased rate of BD in asthma or migraine, and likewise an increase in the rate of asthma or migraine in patients with BD. A second pattern was a predominantly unidirectional increase in the rate of BD in patients with certain medical disorders, such as multiple sclerosis or cerebellar diseases. A third pattern was a predominantly unidirectional increased rate of medical disorders in patients with BD. One study suggested the potential involvement of genetic mechanisms for the association between BD and migraine. Most of the studies had cross-sectional or retrospective designs, and many relied on analysis of large administrative databases inviting multiple potential biases. Our review highlights the association between BD and a variety of medical disorders. Further research is needed to elucidate the potential underlying etiopathological mechanisms that contribute to observed comorbidities. The results of this review also emphasize the need for comprehensive screening for medical disorders in BD and for adoption of an integrated model of care to address these complex comorbidities.
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Affiliation(s)
- Aktriti Sinha
- Department of Psychiatry, University of Missouri School of Medicine, Columbia, MO, 65212, USA
| | - Anam Shariq
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA
| | - Khaled Said
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA
| | - Abhinav Sharma
- Homewood Health Center, Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, ON, L8S 4L8, Canada
| | - D Jeffrey Newport
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA
| | - Ihsan M Salloum
- Division of Alcohol and Substance Abuse, Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, 1120 NW 14th Street, Miami, FL, 33136, USA.
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Ikeda M, Takahashi A, Kamatani Y, Okahisa Y, Kunugi H, Mori N, Sasaki T, Ohmori T, Okamoto Y, Kawasaki H, Shimodera S, Kato T, Yoneda H, Yoshimura R, Iyo M, Matsuda K, Akiyama M, Ashikawa K, Kashiwase K, Tokunaga K, Kondo K, Saito T, Shimasaki A, Kawase K, Kitajima T, Matsuo K, Itokawa M, Someya T, Inada T, Hashimoto R, Inoue T, Akiyama K, Tanii H, Arai H, Kanba S, Ozaki N, Kusumi I, Yoshikawa T, Kubo M, Iwata N. A genome-wide association study identifies two novel susceptibility loci and trans population polygenicity associated with bipolar disorder. Mol Psychiatry 2018; 23:639-647. [PMID: 28115744 PMCID: PMC5822448 DOI: 10.1038/mp.2016.259] [Citation(s) in RCA: 114] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 11/29/2016] [Accepted: 12/13/2016] [Indexed: 11/09/2022]
Abstract
Genome-wide association studies (GWASs) have identified several susceptibility loci for bipolar disorder (BD) and shown that the genetic architecture of BD can be explained by polygenicity, with numerous variants contributing to BD. In the present GWAS (Phase I/II), which included 2964 BD and 61 887 control subjects from the Japanese population, we detected a novel susceptibility locus at 11q12.2 (rs28456, P=6.4 × 10-9), a region known to contain regulatory genes for plasma lipid levels (FADS1/2/3). A subsequent meta-analysis of Phase I/II and the Psychiatric GWAS Consortium for BD (PGC-BD) identified another novel BD gene, NFIX (Pbest=5.8 × 10-10), and supported three regions previously implicated in BD susceptibility: MAD1L1 (Pbest=1.9 × 10-9), TRANK1 (Pbest=2.1 × 10-9) and ODZ4 (Pbest=3.3 × 10-9). Polygenicity of BD within Japanese and trans-European-Japanese populations was assessed with risk profile score analysis. We detected higher scores in BD cases both within (Phase I/II) and across populations (Phase I/II and PGC-BD). These were defined by (1) Phase II as discovery and Phase I as target, or vice versa (for 'within Japanese comparisons', Pbest~10-29, R2~2%), and (2) European PGC-BD as discovery and Japanese BD (Phase I/II) as target (for 'trans-European-Japanese comparison,' Pbest~10-13, R2~0.27%). This 'trans population' effect was supported by estimation of the genetic correlation using the effect size based on each population (liability estimates~0.7). These results indicate that (1) two novel and three previously implicated loci are significantly associated with BD and that (2) BD 'risk' effect are shared between Japanese and European populations.
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Affiliation(s)
- M Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - A Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory for Omics Informatics, Omics Research Center, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Y Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Y Okahisa
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - H Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - N Mori
- Department of Psychiatry and Neurology, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - T Sasaki
- Laboratory of Health Education, Graduate School of Education, the University of Tokyo, Tokyo, Japan
| | - T Ohmori
- Department of Psychiatry, Course of Integrated Brain Sciences, Medical Informatics, Institute of Health Biosciences, The University of Tokushima Graduate School, Tokushima, Japan
| | - Y Okamoto
- Department of Psychiatry and Neurosciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - H Kawasaki
- Department of Psychiatry, Fukuoka University, Faculty of Medicine, Fukuoka, Japan
| | - S Shimodera
- Department of Neuropsychiatry, Kochi Medical School, Kochi University, Nankoku, Japan
| | - T Kato
- Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Wako, Japan
| | - H Yoneda
- Department of Neuropsychiatry, Osaka Medical College, Takatsuki, Japan
| | - R Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyusyu, Japan
| | - M Iyo
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
| | - K Matsuda
- Laboratory of Clinical Sequence, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - M Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - K Ashikawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Japan
| | - K Kashiwase
- Japanese Red Cross Kanto-Koshinetsu Block Blood Center, Tokyo, Japan
| | - K Tokunaga
- Department of Human Genetics, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - K Kondo
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - T Saito
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - A Shimasaki
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - K Kawase
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - T Kitajima
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
| | - K Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - M Itokawa
- Center for Medical Cooperation, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - T Someya
- Department of Psychiatry, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - T Inada
- Department of Psychiatry, Nagoya University, Graduate School of Medicine, Nagoya, Japan
| | - R Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Suita, Japan
| | - T Inoue
- Department of Psychiatry, Tokyo Medical University, Tokyo, Japan
| | - K Akiyama
- Department of Biological Psychiatry and Neuroscience, Dokkyo Medical University School of Medicine, Mibu, Japan
| | - H Tanii
- Department of Neuropsychiatry, Mie University, Graduate School of Medicine, Tsu, Japan
| | - H Arai
- Department of Psychiatry and Behavioral Sciences, Juntendo Graduate School of Medicine, Tokyo, Japan
| | - S Kanba
- Department of Neuropsychiatry, Kyushu University, Graduate School of Medical Sciences, Fukuoka, Japan
| | - N Ozaki
- Department of Psychiatry, Nagoya University, Graduate School of Medicine, Nagoya, Japan
| | - I Kusumi
- Department of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - T Yoshikawa
- Laboratory for Molecular Psychiatry, RIKEN Brain Science Institute, Wako, Japan
| | - M Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - N Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan
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Akinlade KS, Rahamon SK, Lasebikan VO. Beta-cell Function and Metabolic Clearance Rate of Glucose in Patients with Major Mental Health Disorders on Antipsychotic Drug Treatment. J Natl Med Assoc 2018; 110:504-511. [PMID: 30129504 DOI: 10.1016/j.jnma.2018.01.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 07/10/2017] [Accepted: 01/01/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND Insulin resistance and metabolic alteration continue to be essential features of major mental health disorders (MMHD) with poorly understood and multifaceted mechanisms. This study was carried out to provide information on insulin resistance, beta-cell function, metabolic clearance rate of glucose and their possible interplay with duration of antipsychotic use in patients with major mental health disorders. METHODOLOGY Plasma levels of glucose and insulin were determined in 124 patients with MMHD after an overnight fast and at 30 and 120 min of standard Oral Glucose Tolerance Test. Thereafter, indices of insulin resistance, beta-cell function and estimated metabolic clearance rate of glucose (eMCR) were calculated appropriately. Statistical analysis was done using ANOVA, Kruskal Wallis, independent Student's t-test and Mann-Whitney U. P-values less than 0.05 were considered as statistically significant. RESULTS Metabolic factors (fasting and postprandial glucose and insulin), indices of insulin sensitivity and β-cell function were not significantly different when patients with schizophrenia, bipolar and depression were compared with one another. Postprandial insulin level at 30 min (30 min PPI), estimated First and Second Phases of Insulin Release (eFPIR, eSPIR) were significantly lower in patients on atypical antipsychotic drugs [18.15 (3.57-40.35) μIU/ml), 617.63 (320.06-911.31) pmol/l, 180.30 (114.82-249.39) pmol/l] compared with patients on typical antipsychotic drugs [27.48 (13.33-47.68) μIU/ml, 767.69 (530.58-1198.35) pmol/l, 209.89 (154.01-310.97) pmol/l]. Furthermore, the mean waist circumference and body mass index were significantly higher in patients who have been on anti-psychotic drug for more than 10 years compared with patients with less than 5 years history of anti-psychotic use. eMCR of glucose progressively declined with increasing duration of antipsychotic use and it was significantly lower in patients who have been on antipsychotic drugs for more than 10 years [8.09 (5.90-9.44) ml.kg-1.min-1] compared with patients who have been on the drugs for less than 5 years [9.03 (7.47-10.04) ml.kg-1.min-1]. CONCLUSION Patients on atypical antipsychotics seem to have insulin secretion phases consistent with β-cell dysfunction. Also, chronicity of antipsychotic treatment predisposes patients with major mental health disorders to central adiposity and low metabolic clearance rate of glucose, a forerunner of glucose intolerance.
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Rihmer Z, Gonda X, Döme P. Is Mania the Hypertension of the Mood? Discussion of A Hypothesis. Curr Neuropharmacol 2017; 15:424-433. [PMID: 28503115 PMCID: PMC5405605 DOI: 10.2174/1570159x14666160902145635] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2015] [Revised: 04/28/2016] [Accepted: 05/24/2016] [Indexed: 01/17/2023] Open
Abstract
Beyond both being biphasic/bidirectional disorders (hypo)mania and essential hypertension share a surprising number of similarities and an overlap between their genetics, biological background, underlying personality and temperamental factors, precipitating factors, comorbidity and response to treatment, indicating a possibly partially shared biological background. Based on theoretical knowledge, similarities related to characteristics, manifestation and course, and the results of pharmacological studies related to the effects and side effects of pharmacotherapies used in the treatment of these two distinct disorders, the authors outline a hypothesis discussing the similar origins of these two phenomena and thus mania being the hypertension of mood in memory of Athanasios Koukopoulos, one of the greatest researchers and theoreticists of mania of all time.
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Affiliation(s)
- Zoltán Rihmer
- Department of Clinical and Theoretical Mental Health, Semmelweis University, Budapest, Hungary, and Laboratory of Suicide Research and Prevention, National Institute for Psychiatry and Addictions, Budapest, Hungary
| | - Xénia Gonda
- Department of Clinical and Theoretical Mental Health, Semmelweis University, Budapest, Hungary, and Laboratory of Suicide Research and Prevention, National Institute for Psychiatry and Addictions, Budapest, Hungary
| | - Péter Döme
- Department of Clinical and Theoretical Mental Health, Semmelweis University, Budapest, Hungary, and Laboratory of Suicide Research and Prevention, National Institute for Psychiatry and Addictions, Budapest, Hungary
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Charles EF, Lambert CG, Kerner B. Bipolar disorder and diabetes mellitus: evidence for disease-modifying effects and treatment implications. Int J Bipolar Disord 2016; 4:13. [PMID: 27389787 PMCID: PMC4936996 DOI: 10.1186/s40345-016-0054-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2016] [Accepted: 05/18/2016] [Indexed: 02/13/2023] Open
Abstract
BACKGROUND Bipolar disorder refers to a group of chronic psychiatric disorders of mood and energy levels. While dramatic psychiatric symptoms dominate the acute phase of the diseases, the chronic course is often determined by an increasing burden of co-occurring medical conditions. High rates of diabetes mellitus in patients with bipolar disorder are particularly striking, yet unexplained. Treatment and lifestyle factors could play a significant role, and some studies also suggest shared pathophysiology and risk factors. OBJECTIVE In this systematic literature review, we explored data around the relationship between bipolar disorder and diabetes mellitus in recently published population-based cohort studies with special focus on the elderly. METHODS A systematic search in the PubMed database for the combined terms "bipolar disorder" AND "elderly" AND "diabetes" in papers published between January 2009 and December 2015 revealed 117 publications; 7 studies were large cohort studies, and therefore, were included in our review. RESULTS We found that age- and gender- adjusted risk for diabetes mellitus was increased in patients with bipolar disorder and vice versa (odds ratio range between 1.7 and 3.2). DISCUSSION Our results in large population-based cohort studies are consistent with the results of smaller studies and chart reviews. Even though it is likely that heterogeneous risk factors may play a role in diabetes mellitus and in bipolar disorder, growing evidence from cell culture experiments and animal studies suggests shared disease mechanisms. Furthermore, disease-modifying effects of bipolar disorder and diabetes mellitus on each other appear to be substantial, impacting both treatment response and outcomes. CONCLUSIONS The risk of diabetes mellitus in patients with bipolar disorder is increased. Our findings add to the growing literature on this topic. Increasing evidence for shared disease mechanisms suggests new disease models that could explain the results of our study. A better understanding of the complex relationship between bipolar disorder and diabetes mellitus could lead to novel therapeutic approaches and improved outcomes.
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Affiliation(s)
- Ellen F. Charles
- />David Geffen School of Medicine, University of California, Los Angeles, 10833 Le Conte Ave, Los Angeles, CA 90095 USA
| | - Christophe G. Lambert
- />Center for Global Health, Division of Translational Informatics, Department of Internal Medicine, University of New Mexico Health Sciences Center, University of New Mexico, MSC10 5550, Albuquerque, NM 87131 USA
| | - Berit Kerner
- />Semel Institute for Neuroscience and Human Behavior, University of California, 695 Charles E. Young Drive South, Box 951761, Los Angeles, CA 90095 USA
- />Fakultät für Gesundheit, Private Universität Witten/Herdecke, Alfred-Herrhausen-Straße 50, 58448 Witten, Germany
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30
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Burghardt KJ, Goodrich JM, Dolinoy DC, Ellingrod VL. DNA methylation, insulin resistance and second-generation antipsychotics in bipolar disorder. Epigenomics 2015; 7:343-52. [PMID: 26077424 DOI: 10.2217/epi.15.5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
AIMS This study aimed to assess the effect of second-generation antipsychotic (SGA) use and insulin resistance on a global measure of DNA methylation in patients diagnosed with bipolar disorder. MATERIALS & METHODS Subjects stable on medication (either mood stabilizer monotherapy or adjuvant SGAs) were assessed for insulin resistance. Global methylation levels were assessed in leukocyte DNA from whole blood using the Luminometric Methylation Assay. Multivariable linear regression was used to investigate the effect of insulin resistance and SGA use on DNA methylation. RESULTS A total of 115 bipolar I subjects were included in this study. The average age was 43.1 ±12.2 years and 73% were on SGAs. Average% global methylation was 77.0 ± 3.26 and was significantly influenced by insulin resistance, SGA use and smoking. CONCLUSION This is the first study to show a relationship between SGA use, insulin resistance and global DNA methylation. Further work will be needed to identify tissue- and gene-specific methylation changes.
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Affiliation(s)
- Kyle J Burghardt
- Department of Pharmacy Practice, Wayne State University Eugene Applebaum College of Pharmacy & Health Sciences, 259 Mack Avenue, Suite 2190, Detroit, MI 48201, USA
| | - Jacyln M Goodrich
- Department of Environmental Sciences, University of Michigan School of Public Health, 6638 SPH Tower, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Dana C Dolinoy
- Department of Environmental Sciences, University of Michigan School of Public Health, 6638 SPH Tower, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Vicki L Ellingrod
- Department of Clinical Social & Administrative Sciences, College of Pharmacy, University of Michigan, 428 Church Street, Ann Arbor, MI 48109, USA.,Department of Psychiatry, School of Medicine, University of Michigan, 1301 Catherine, Ann Arbor, MI 48109, USA
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Mansur RB, Brietzke E, McIntyre RS. Is there a "metabolic-mood syndrome"? A review of the relationship between obesity and mood disorders. Neurosci Biobehav Rev 2015; 52:89-104. [PMID: 25579847 DOI: 10.1016/j.neubiorev.2014.12.017] [Citation(s) in RCA: 193] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Revised: 12/19/2014] [Accepted: 12/31/2014] [Indexed: 12/12/2022]
Abstract
Obesity and mood disorders are highly prevalent and co-morbid. Epidemiological studies have highlighted the public health relevance of this association, insofar as both conditions and its co-occurrence are associated with a staggering illness-associated burden. Accumulating evidence indicates that obesity and mood disorders are intrinsically linked and share a series of clinical, neurobiological, genetic and environmental factors. The relationship of these conditions has been described as convergent and bidirectional; and some authors have attempted to describe a specific subtype of mood disorders characterized by a higher incidence of obesity and metabolic problems. However, the nature of this association remains poorly understood. There are significant inconsistencies in the studies evaluating metabolic and mood disorders; and, as a result, several questions persist about the validity and the generalizability of the findings. An important limitation in this area of research is the noteworthy phenotypic and pathophysiological heterogeneity of metabolic and mood disorders. Although clinically useful, categorical classifications in both conditions have limited heuristic value and its use hinders a more comprehensive understanding of the association between metabolic and mood disorders. A recent trend in psychiatry is to move toward a domain specific approach, wherein psychopathology constructs are agnostic to DSM-defined diagnostic categories and, instead, there is an effort to categorize domains based on pathogenic substrates, as proposed by the National Institute of Mental Health (NIMH) Research Domain Criteria Project (RDoC). Moreover, the substrates subserving psychopathology seems to be unspecific and extend into other medical illnesses that share in common brain consequences, which includes metabolic disorders. Overall, accumulating evidence indicates that there is a consistent association of multiple abnormalities in neuropsychological constructs, as well as correspondent brain abnormalities, with broad-based metabolic dysfunction, suggesting, therefore, that the existence of a "metabolic-mood syndrome" is possible. Nonetheless, empirical evidence is necessary to support and develop this concept. Future research should focus on dimensional constructs and employ integrative, multidisciplinary and multimodal approaches.
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Affiliation(s)
- Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, Canada; Interdisciplinary Laboratory of Clinical Neuroscience (LINC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil.
| | - Elisa Brietzke
- Interdisciplinary Laboratory of Clinical Neuroscience (LINC), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit (MDPU), University Health Network, University of Toronto, Toronto, Canada
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