Although bipolar disorder is characterized by adverse effects on mood and social functioning, it is also associated with poor physical health. Some of the most prevalent comorbidities affecting individuals with bipolar disorder include those of a cardiometabolic nature, such as obesity, insulin resistance, and cardiovascular disease.1,2 In addition to detracting from physical wellbeing, there is growing awareness that comorbid medical conditions in people with bipolar disorder contribute to poorer psychiatric treatment outcomes and are associated with more severe mood symptoms.3–5 These comorbid conditions may arise from overlapping biological pathways that promote the development of both mood dysregulation and altered metabolism. In this article, the scope of cardiometabolic health concerns in bipolar disorder will be reviewed, including the prevalence of modifiable risk factors, pathophysiological correlates linking metabolic dysregulation and mood, and potential genetic vulnerabilities that contribute to the development of cardiometabolic illness and mood disorders. Novel treatment approaches that target improvement of metabolic health as a means of improving mood, cognition, and other psychiatric symptoms will also be discussed.
CARDIOMETABOLIC HEALTH IN BIPOLAR DISORDER
Although bipolar disorder is characterized by adverse effects on mood and social functioning, it is also associated with poor physical health. Some of the most prevalent comorbidities affecting individuals with bipolar disorder include those of a cardiometabolic nature, such as obesity, insulin resistance, and cardiovascular disease.1,2 In addition to detracting from physical wellbeing, there is growing awareness that comorbid medical conditions in people with bipolar disorder contribute to poorer psychiatric treatment outcomes and are associated with more severe mood symptoms.3–5 These comorbid conditions may arise from overlapping biological pathways that promote the development of both mood dysregulation and altered metabolism. In this article, the scope of cardiometabolic health concerns in bipolar disorder will be reviewed, including the prevalence of modifiable risk factors, pathophysiological correlates linking metabolic dysregulation and mood, and potential genetic vulnerabilities that contribute to the development of cardiometabolic illness and mood disorders. Novel treatment approaches that target improvement of metabolic health as a means of improving mood, cognition, and other psychiatric symptoms will also be discussed.
Metabolic Syndrome and Premature Mortality
The majority of US and international surveys have documented a higher than expected prevalence of metabolic syndrome in individuals with bipolar disorder, often occurring at a rate double that found in the general population.6 The metabolic syndrome predisposes affected individuals to an earlier mortality and increases the risk for heart disease and type 2 diabetes (DM-2). According to one of the most highly referenced definitions of metabolic syndrome, the components include abdominal adiposity, hypertension, impaired fasting glucose, low HDL cholesterol, and hypertriglyceridemia.7 Insulin resistance is believed to be the underlying pathophysiologic process that unifies these various metabolic risk factors. Although originally thought to predominantly affect individuals with psychotic disorders, the metabolic syndrome has been shown to occur at an equivalent rate in bipolar disorder as in schizophrenia.8 In the majority of bipolar disorder studies, each component of the metabolic syndrome is generally abnormal, with increased waist circumference as the most consistently reported abnormality.6
Given the well-documented association between metabolic syndrome and increased cardiac mortality, it is not surprising that people with bipolar disorder die earlier in comparison with the general population. After adjusting for demographic factors, one naturalistic study found a significant risk of excess mortality in association with psychiatric illness, with over 95% of deaths attributed to medical rather than unnatural causes, such as suicide.9 Although the widespread use of weight-promoting mood stabilizers and atypical antipsychotics may contribute to the obesity epidemic, they cannot be wholly blamed for the increase in premature mortality, as early studies have shown an increase in premature deaths even among those not receiving pharmacological treatment.10 Rather, a combination of factors appears to collectively perpetuate cardiometabolic risk. These include poor lifestyle choices (ie, cigarette smoking), lack of health insurance coverage or access to preventive medicine services, and the core mood disorder symptoms of decreased energy and anhedonia which may lead to a sedentary activity level and decreased focus on self-care. The cumulative burden of manic symptoms has also been identified as a contributor to increased cardiovascular mortality in bipolar I versus bipolar II disorder.11 After controlling for age, gender, baseline cardiovascular risk, and treatment exposure, the higher burden of lifetime manic symptoms (as opposed to depressive symptoms) explained the greater increase in cardiovascular morality in those with the bipolar I subtype.11
Associations between Mood and Metabolic Health
Obesity, in particular, has been correlated with adverse clinical outcomes. Obese individuals with bipolar disorder suffer from more subthreshold anxiety disorders than non-obese individuals; they also experience an increased lifetime number of depressive and manic episodes.3,5 During maintenance therapy, obese individuals relapse more quickly into new mood episodes and have a poorer response to lithium treatment.3,12 Increased abdominal obesity has also been associated with a lower rate of improvement in manic symptoms.13
From the standpoint of general medical comorbidity, the number of organ systems affected by medical illness has been positively correlated with depression severity.5 However, in rapid-cycling patients receiving the combination of lithium and valproate, only illnesses of the endocrine/metabolic system were inversely correlated with remission from depression.4 A lower rate of response and remission to the combination of lithium and valproate has been incrementally associated with elevations in body mass index (BMI).4
Brain morphology also appears differentially affected in obese individuals with bipolar disorder. In first-onset mania, increased BMI was significantly associated with decreased white matter volume and temporal lobe volume.14 Such regions are areas of known vulnerability in early-onset cases and may explain some of the clinical associations linking obesity with a more complex bipolar illness trajectory.14 Another explanation that potentially accounts for greater bipolar illness severity includes increased secretion of proinflammatory cytokines from visceral fat stores.15 Inflammatory markers have been correlated with greater depression severity and may mediate the development of mood symptoms.16
Overlapping Pathophysiology
Drug treatment outcomes in the treatment of bipolar disorders, including inter-individual differences in antipsychotic-induced weight gain, can be influenced by a variety of environmental (ie, nutrition, co-administered drugs) and genetic factors. Many previous pharmacogenetic studies have focused on variants in candidate genes or gene pathways believed to influence the absorption, distribution, metabolism and elimination of drugs and their targets (ie, pharmacokinetics) or mediate their mechanisms of actions by interactions with receptors or transporters and downstream second messengers (ie, pharmacodynamics).17 These studies have identified several promising genes that may contribute to antipsychotic-induced weight gain.18 As an example, Reynolds and colleagues identified that patients with the 759T variant allele of the 5-HT2C receptor gene polymorphism (-759 T/C, rs3813929) gained significantly less weight that patients without this allele.19
Despite the large number of published pharmacogenetic studies in psychiatry, the promise of personalized medicine has remained unfulfilled. It is notable that genetic variants have yet to be confirmed as a predictive factor for antipsychotic-induced weight gain, since the initial significant findings have not been consistently confirmed in replication studies. Ambiguous pharmacogenetic study findings are not unusual for genetic analyses of complex genetic diseases.20 Many factors can contribute to variability in association studies. Among them, small sample sizes lead to low statistical power, with a concomitant increased rate of both false-positive and false-negative results and subsequent difficulty in replicating or refuting previous findings. Still, further large-scale studies are warranted.
Although the exact pathophysiology responsible for mood dysregulation in bipolar disorder is uncertain and likely involves complex heterogeneous mechanisms, several biological substrates contribute to cardiometabolic risk and appear involved in mood regulation. For example, individuals with bipolar disorder commonly show disruption of the hypothalamic-pituitary-adrenal axis (HPA-axis), resulting in elevated levels of cortisol or glucocorticoid resistance.21 Hypercortisolemia is associated with obesity and disruption of gluco-regulatory mechanisms that lead to hyper-insulinemia and insulin resistance.15
Mood symptoms may also be the consequence of inflammatory overactivation or an imbalance between pro- and anti-inflammatory cytokines. Elevated concentrations of IL-6, tumor necrosis factor-alpha, and C-reactive protein have been frequently reported in both manic and depressed phases of bipolar disorder.16 Illness behaviors induced by pro-inflammatory cytokines often resemble depression, including anhedonia, anorexia, sleep disruptions, and decreased self-care. Inflammatory cytokines are also elevated in obesity and DM-2, mediating the relationship between cardiovascular disease and insulin resistance.22
Alterations in hormones directly produced by adipose tissue have likewise been tied to bipolar disorder, suggesting a novel role for adipokines in the regulation of mood.23 Leptin, an adipokine well known for its function in the control of energy homeostasis, acts as a satiety signal to decrease food intake.23 Low levels of leptin have been associated with depressive behaviors in animal models and humans, thus insufficiency or resistance to leptin may contribute to both obesity and depression.24
In contrast to leptin, adiponectin is an adipokine that promotes insulin sensitivity. Adiponectin levels are lower in mood disorder patients, a finding that may be specific to depression and not accounted for by somatic factors such as coronary heart disease and metabolic disorders.25 Reduction of adiponectin has been reported in prospective studies to increase the risk for DM-2 and cardiovascular disease.26
Oxidative stress also represents an overlapping factor relevant to the pathogenesis of mood disorders and insulin resistance. Vulnerable to the effects of oxidative stress, when exposed to reactive oxygen species the brain may endure DNA damage, ultimately resulting in cell death and the manifestation of depression.27 Pancreatic beta-cells that produce insulin also have very low intrinsic levels of antioxidant proteins, making them susceptible to oxidative damage. In turn, these oxidative effects result in progression of pancreatic beta-cell dysfunction that leads to DM-2.28
Taken together, inflammation, adipose-derived hormones, glucocorticoid signaling, and excitotoxicity all appear to contribute to cardiometabolic risk, resulting in downstream effects on central nervous system function including the development of depressive symptoms. Some researchers have described the physiologic toll produced by these adaptations as “allostatic load”.29 The cumulative effect of allostatic load may leave individuals with bipolar disorder more vulnerable to cardiometabolic illnesses and vice versa.30
Finally, candidate gene and genome-wide association studies have identified many genetic risk factors for bipolar disorder or cardiometabolic conditions. A small number of overlapping genes have emerged that appear to increase susceptibility to both bipolar disorder and metabolic syndrome. For example, the TSPAN8 gene, which encodes a tetraspanin protein involved in organizing cellular receptors and signaling, represents a susceptibility locus for both DM-2 and bipolar disorder in genome-wide association studies.31,32 The nonsynonymous genetic variant (rs6265: Val66Met) located within the brain-derived neurotrophic factor gene was found to have strong association with BMI;33 a meta-analysis also found significant evidence for an association between the same Val-66Met polymorphism and bipolar disorder susceptibility.34 Although these points of commonality are intriguing and suggest genetic and pathophysiologic overlap between cardiometabolic illnesses and bipolar disorder, further large-scale studies are warranted to elucidate the relevant genetic variants that act as mutual risk factors.
Antipsychotics and Metabolic Risk
While atypical antipsychotic drugs can be helpful in treating bipolar disorder, they are known to be associated with elevated risk of hyperglycemia and DM-2.35 A consensus statement encouraged clinicians to monitor all patients who were taking atypical antipsychotics, including the documentation of physical measurements such as body mass index (BMI), blood pressure and waist circumference, along with collection of fasting glucose and lipids.36
When measuring the parameters of metabolic syndrome, clinicians may consider calculating the ratio of triglycerides to HDL cholesterol (Trig/HDL) obtained from a fasting lipid profile. The Trig/HDL ratio is a simple, readily available measure that can be used as a surrogate to identify patients who are more likely to be insulin resistant and have a higher proportion of atherogenic small LDL particles.37 In addition to the recommended monitoring, comprehensive care of individuals with bipolar disorder should also assess medical and behavioral factors that may influence cardio-metabolic risk. This includes screening for the presence of comorbid eating disorders, nicotine use, and alcohol consumption; discussing exercise habits and strategies to improve physical activity; and assessing for medical factors affecting mood and metabolism, such as abnormal thyroid levels or vitamin D deficiency.38
Targeting Metabolic Health to Improve Mental Health
Recent publications have highlighted treatment approaches that may reduce metabolic risk in people with bipolar disorder.38 Emerging lines of research have focused on addressing physical health as a novel means of improving mental health outcomes. For instance, programs that integrate medical care into community mental health settings have been found to not only reduce risk of cardiovascular disease but also improve mood and general well-being. These programs are typically managed by a clinician who provides medical care or helps to coordinate care between psychiatrists, primary care physicians, and other medical specialists. Preliminary evidence also suggests that integrated psychosocial programs that combine exercise and dietary interventions along with cognitive behavioral therapy to improve self-efficacy may decrease medical burden and depressive symptoms.39
Building upon overlapping pathophysiology, other investigations have targeted insulin or insulin resistance as a pathway to improve mood and cognition. Insulin is a regulatory peptide that plays critical roles in physiologic processes such as neuroplasticity, neuorprotection, and facilitation of memory.40 In animal models, intranasal insulin treatment has been shown to reduce diabetes-related cerebral atrophy and preserve memory.41 In humans, administration of intranasal insulin to patients with amnestic mild cognitive impairment or Alzheimer disease resulted in improved delayed memory and functional ability.42
Insulin-sensitizing treatments, including the thiazolidinedione class of anti-diabetic medications, have been shown to induce antidepressant-like effects in animal models.43 Preliminary evidence has demonstrated a reduction in depression severity when open-label rosiglitazone or pioglitazone were administered to depressed individuals with features of insulin resistance.44,45 Pioglitazone treatment also resulted in significantly reduced triglyceride and cholesterol levels, potentially representing an antidepressant treatment that can simultaneously reduce cardiometabolic risk.
Also promising are agents intended to reduce oxidative stress, such as N-acetylcysteine. Superoxide generation is a cause of glucose-induced pancreatic beta-cell dysfunction and is a key contributor to allostatic load. Acting to replenish brain glutathione, open-label N-acetylcysteine administration has been preliminarily associated with a reduction in depression severity during the maintenance treatment of bipolar disorder.46
CONCLUSION
Cardiometabolic health concerns in patients with bipolar disorder are anticipated to remain an expanding clinical priority. Not only do these conditions lead to premature mortality, but they appear associated with more severe mood episodes and poorer response to mood-stabilizing therapies. The bi-directional link between bipolar disorder and cardiometabolic disease is likely due to shared pathophysiology, including inflammatory activation, abnormal glucocorticoid signaling, and excitotoxicity. Monitoring for cardiometabolic risk factors should be a routine part of treatment, especially in those with underlying obesity or those being treated with atypical antipsychotics. In the future, genetic variants may help to identify those at greatest risk for developing DM-2 or antipsychotic-induced weight gain. Emerging therapies for bipolar disorder are intended to improve psychiatric health by targeting and better integrating physical health treatments.
EDUCATIONAL OBJECTIVES.
Describe the shared pathophysiology that contributes to the development of both bipolar disorder and cardiometabolic disease.
Recognize genetic variants that increase risk for antipsychotic-induced weight gain and type-2 diabetes.
Describe treatment strategies that target physical or cardiometabolic health as a means of improving psychiatric outcomes.
Biography
Dr. Kemp, within the past 12 months, has acted as a consultant to Bristol-Myers Squibb and Janssen and has served on the speaker’s bureau for AstraZeneca and Pfizer. His spouse has been a minor shareholder of Abbott and Sanofi within the past 12 months. Dr. Fan has no disclosures to report.
Contributor Information
David E. Kemp, Assistant Professor of Psychiatry, and Director, Mood & Metabolic Clinic, Case Western Reserve University, and University Hospitals Case Medical Center, Department of Psychiatry, Cleveland, OH, USA.
Jinbo Fan, Assistant Professor, Department of Epidemiology and Biostatistics and Department of Psychiatry, Case Western Reserve University, School of Medicine, Department of Epidemiology and Biostatistics, Cleveland, OH.
References
- 1.Kemp DE, Gao K, Ganocy SJ, et al. Medical and substance use comorbidity in bipolar disorder. J Affect Disord. 2009;116:64–69. doi: 10.1016/j.jad.2008.11.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Perron BE, Howard MO, Nienhuis JK, et al. Prevalence and burden of general medical conditions among adults with bipolar I disorder: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry. 2009;70:1407–1415. doi: 10.4088/JCP.08m04586yel. [DOI] [PubMed] [Google Scholar]
- 3.Calkin C, van de Velde C, Ruzickova M. Can body mass index help predict outcome in patients with bipolar disorder? Bipolar Disord. 2009;11(6):650–656. doi: 10.1111/j.1399-5618.2009.00730.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Kemp DE, Gao K, Chan PK, Ganocy SJ, Findling RL, Calabrese JRC. Medical comorbidity in bipolar disorder: relationship between illnesses of the endocrine/metabolic system and treatment outcome. Bipolar Disord. 2010;12:404–413. doi: 10.1111/j.1399-5618.2010.00823.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Thompson WK, Kupfer DJ, Fagiolini A, et al. Prevalence and clinical correlates of medical comorbidities in patients with bipolar I disorder: analysis of acute-phase data from a randomized controlled trial. J Clin Psychiatry. 2006;67(5):783–788. doi: 10.4088/jcp.v67n0512. [DOI] [PubMed] [Google Scholar]
- 6.McIntyre RS, Danilewitz M, Liauw SS, et al. Bipolar disorder and metabolic syndrome: an international perspective. J Affect Disord. 2010;126:366–387. doi: 10.1016/j.jad.2010.04.012. [DOI] [PubMed] [Google Scholar]
- 7.Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection. Evaluation And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III) JAMA. 2001;285:2486–2497. doi: 10.1001/jama.285.19.2486. [DOI] [PubMed] [Google Scholar]
- 8.Correll CU, Frederickson AM, Kane JM, et al. Equally increased risk for metabolic syndrome in patients with bipolar disorder and schizophrenia treated with second-generation antipsychotics. Bipolar Disord. 2008;10(7):788–797. doi: 10.1111/j.1399-5618.2008.00625.x. [DOI] [PubMed] [Google Scholar]
- 9.Druss BG, Zhao L, Von Esenwein S, et al. Understanding excess mortality in persons with mental illness: 17-year follow up of a nationally representative US survey. Med Care. 2011;49(6):599–604. doi: 10.1097/MLR.0b013e31820bf86e. [DOI] [PubMed] [Google Scholar]
- 10.Angst F, Stassen HH, Clayton PJ, et al. Mortality of patients with mood disorders: follow-up over 34–38 years. J Affect Disord. 2002;68(2–3):167–181. doi: 10.1016/s0165-0327(01)00377-9. [DOI] [PubMed] [Google Scholar]
- 11.Fiedorowicz JG, Solomon DA, Endicott J, et al. Manic/hypomanic symptom burden and cardiovascular mortality in bipolar disorder. Psychosom Med. 2009;71(6):598–606. doi: 10.1097/PSY.0b013e3181acee26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Fagiolini A, Kupfer DJ, Houck PR, et al. Obesity as a Correlate of outcome in patients with bipolar i disorder. Am J Psychiatry. 2003;160:112–117. doi: 10.1176/appi.ajp.160.1.112. [DOI] [PubMed] [Google Scholar]
- 13.Kemp DE, Karayal ON, Calabrese JR, et al. Ziprasidone with adjunctive mood stabilizer in the maintenance treatment of bipolar I disorder: Long-term changes in weight and metabolic profiles. Eur Neuropsychopharmacol. 2012;22(2):123–131. doi: 10.1016/j.euroneuro.2011.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bond DJ, Lang DJ, Noronha MM, et al. The association of elevated body mass index with reduced brain volumes in first-episode mania. Biol Psychiatry. 70(4):381–387. doi: 10.1016/j.biopsych.2011.02.025. [DOI] [PubMed] [Google Scholar]
- 15.McIntyre RS, Soczynska JK, Konarski JZ, et al. Should depressive syndromes be reclassified as “metabolic syndrome type II”? Ann Clin Psychiatry. 2007;19(4):257–264. doi: 10.1080/10401230701653377. [DOI] [PubMed] [Google Scholar]
- 16.Goldstein BI, Kemp DE, Soczynska JK, et al. Inflammation and the phenomenology, pathophysiology, comorbidity, and treatment of bipolar disorder: a systematic review of the literature. J Clin Psychiatry. 2009;70:1078–1090. doi: 10.4088/JCP.08r04505. [DOI] [PubMed] [Google Scholar]
- 17.Zandi PP, Judy JT. The promise and reality of pharmacogenetics in psychiatry. Psychiatr Clin North Am. 2010;33:181–224. doi: 10.1016/j.psc.2009.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lett TA, Wallace TJ, Chowdhury NI, et al. Pharmacogenetics of antipsychotic-induced weight gain: review and clinical implications. Mol Psychiatry. 2012;17(3):242–266. doi: 10.1038/mp.2011.109. [DOI] [PubMed] [Google Scholar]
- 19.Reynolds GP, Zhang ZJ, Zhang XB. Association of antipsychotic drug-induced weight gain with a 5- HT2C receptor gene polymorphism. Lancet. 2002;359(9323):2086–2087. doi: 10.1016/S0140-6736(02)08913-4. [DOI] [PubMed] [Google Scholar]
- 20.Altshuler D, Daly M, Kruglyak L. Guilt by association. Nat Genet. 2000;26(2):135–137. doi: 10.1038/79839. [DOI] [PubMed] [Google Scholar]
- 21.Rush AJ, Giles DE, Schlesser MA, et al. The dexamethasone suppression test in patients with mood disorders. J Clin Psychiatry. 1996;57(10):470–484. doi: 10.4088/jcp.v57n1006. [DOI] [PubMed] [Google Scholar]
- 22.Festa A, D’Agostino R, Jr, Howard G, et al. Chronic subclinical inflammation as part of the insulin resistance syndrome: the Insulin Resistance Atherosclerosis Study (IRAS) Circulation. 2000;102(1):42–47. doi: 10.1161/01.cir.102.1.42. [DOI] [PubMed] [Google Scholar]
- 23.Zeman M, Jirak R, Jachymova M, et al. Leptin, adiponectin, leptin to adiponectin ratio and insulin resistance in depressive women. Neuro Endocrinol Lett. 2009;30(3):387–395. [PubMed] [Google Scholar]
- 24.Lawson EA, Miller KK, Blum JI, et al. Leptin levels are associated with decreased depressive symptoms in women across the weight spectrum, independent of body fat. Clin Endocrinol (Oxf) 2012;76(4):520–525. doi: 10.1111/j.1365-2265.2011.04182.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lehto SM, Huotari A, Niskanen L, et al. Serum adiponectin and resistin levels in major depressive disorder. Acta Psychiatr Scand. 2010;121(3):209–215. doi: 10.1111/j.1600-0447.2009.01463.x. [DOI] [PubMed] [Google Scholar]
- 26.Lindsay RS, Funahashi T, Hanson RL, et al. Adiponectin and development of type 2 diabetes in the Pima Indian population. Lancet. 2002;360(9326):57–58. doi: 10.1016/S0140-6736(02)09335-2. [DOI] [PubMed] [Google Scholar]
- 27.McIntyre RS, Rasgon NL, Kemp DE, et al. Metabolic syndrome and major depressive disorder: co-occurrence and pathophysiologic overlap. Curr Diab Rep. 2009;9(1):51–59. doi: 10.1007/s11892-009-0010-0. [DOI] [PubMed] [Google Scholar]
- 28.Robertson RP, Harmon J, Tran PO, et al. Beta-cell glucose toxicity, lipotoxicity, and chronic oxidative stress in type 2 diabetes. Diabetes. 2004;53(Suppl 1):S119–124. doi: 10.2337/diabetes.53.2007.s119. [DOI] [PubMed] [Google Scholar]
- 29.McEwen BS. Mood disorders and allostatic load. Biol Psychiatry. 2003;54(3):200–207. doi: 10.1016/s0006-3223(03)00177-x. [DOI] [PubMed] [Google Scholar]
- 30.Brietzke E, Kapczinski F, Grassi-Oliveira R, et al. Insulin dysfunction and allostatic load in bipolar disorder. Expert Rev Neurother. 2011;11(7):1017–1028. doi: 10.1586/ern.10.185. [DOI] [PubMed] [Google Scholar]
- 31.Zeggini E, Scott LJ, Saxena R, et al. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet. 2008;40(5):638–645. doi: 10.1038/ng.120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Sklar P, Smoller JW, Fan J, et al. Whole-genome association study of bipolar disorder. Mol Psychiatry. 2008;13:558–569. doi: 10.1038/sj.mp.4002151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Thorleifsson G, Walters GB, Gudbjartsson DF, et al. Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet. 2009;41(1):18–24. doi: 10.1038/ng.274. [DOI] [PubMed] [Google Scholar]
- 34.Fan J, Sklar P. Genetics of bipolar disorder: focus on BDNF Val66Met polymorphism. Novartis Foundation Symposium; 2008. pp. 60–72. discussion 72–63, 87–93. [DOI] [PubMed] [Google Scholar]
- 35.Newcomer JW. Second-generation (atypical) antipsychotics and metabolic effects: a comprehensive literature review. CNS Drugs. 2005;19(Suppl 1):1–93. doi: 10.2165/00023210-200519001-00001. [DOI] [PubMed] [Google Scholar]
- 36.American Diabetes Association. Diabetes Care; Consensus Development Conference on Insulin Resistance; 5–6 November 1997; 1998. pp. 310–314. [DOI] [PubMed] [Google Scholar]
- 37.Fan X, Liu EY, Hoffman VP, Potts AJ, Sharma B, Henderson DC. Triglyceride/high-density lipoprotein cholesterol ratio: a surrogate to predict insulin resistance and low-density lipoprotein cholesterol particle size in nondiabetic patients with schizophrenia. J Clin Psychiatry. 2011;72(6):806–812. doi: 10.4088/JCP.09m05107yel. [DOI] [PubMed] [Google Scholar]
- 38.McIntyre RS, Alsuwaidan M, Goldstein BI, Taylor VH, Schaffer A, Beaulieu S, Kemp DE. The Canadian Network for Mood and Anxiety Treatments (CANMAT) task force recommendations for the management of patients with mood disorders and comorbid metabolic disorders. Ann Clin Psychiatry. 2012;24(1):69–81. [PubMed] [Google Scholar]
- 39.Sylvia LG, Nierenberg AA, Stange JP, et al. Development of an integrated psychosocial treatment to address the medical burden associated with bipolar disorder. J Psychiatr Pract. 2011;17(3):224–232. doi: 10.1097/01.pra.0000398419.82362.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.McNay EC, Recknagel AK. Brain insulin signaling: a key component of cognitive processes and a potential basis for cognitive impairment in type 2 diabetes. Neurobiol Learn Mem. 2011;96(3):432–442. doi: 10.1016/j.nlm.2011.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Francis GJ, Martinez JA, Liu WQ, et al. Intranasal insulin prevents cognitive decline, cerebral atrophy and white matter changes in murine type I diabetic encephalopathy. Brain. 2008;131(Pt 12):3311–3334. doi: 10.1093/brain/awn288. [DOI] [PubMed] [Google Scholar]
- 42.Craft S, Baker LD, Montine TJ, et al. Intranasal insulin therapy for alzheimer disease and amnestic mild cognitive impairment: a pilot clinical trial. Arch Neurol. 2012;69(1):29–38. doi: 10.1001/archneurol.2011.233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sadaghiani MS, Javadi-Paydar M, Gharedaghi MH, et al. Antidepressant-like effect of pioglitazone in the forced swimming test in mice: the role of PPAR-gamma receptor and nitric oxide pathway. Behav Brain Res. 2011;224(2):336–343. doi: 10.1016/j.bbr.2011.06.011. [DOI] [PubMed] [Google Scholar]
- 44.Kemp DE, Ismail-Beigi F, Ganocy SJ, et al. Use of insulin sensitizers for the treatment of major depressive disorder: A pilot study of pioglitazone for major depression accompanied by abdominal obesity. J Affect Disord. 2012;136(3):1164–1173. doi: 10.1016/j.jad.2011.06.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Rasgon NL, Kenna HA, Williams KE, et al. Rosiglitazone add-on in treatment of depressed patients with insulin resistance: a pilot study. Scientific World J. 2010;10:321–328. doi: 10.1100/tsw.2010.32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Berk M, Dean O, Cotton SM, et al. The efficacy of N-acetylcysteine as an adjunctive treatment in bipolar depression: an open label trial. J Affect Disord. 2011;135(1–3):389–394. doi: 10.1016/j.jad.2011.06.005. [DOI] [PubMed] [Google Scholar]