Hostname: page-component-848d4c4894-wzw2p Total loading time: 0 Render date: 2024-06-07T10:57:03.905Z Has data issue: false hasContentIssue false
  • English
  • Français

Cardiometabolic disease risk among siblings of patients with major depressive disorder

Published online by Cambridge University Press:  14 September 2020

Jia-Ru Li ,
Shih-Jen Tsai ,
Ya-Mei Bai ,
Ju-Wei Hsu ,
Kai-Lin Huang ,
Tung-Ping Su ,
Cheng-Ta Li ,
Wei-Chen Lin ,
Tzeng-Ji Chen  and
Tai-Long Pan
...Show all authors
Jia-Ru Li
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
Shih-Jen Tsai
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
Ya-Mei Bai
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
Ju-Wei Hsu
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
Kai-Lin Huang
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
Tung-Ping Su
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan
Cheng-Ta Li
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
Wei-Chen Lin
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
Tzeng-Ji Chen
Affiliation:
Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan
Tai-Long Pan*
Affiliation:
School of Traditional Chinese Medicine, Chang Gung University, Taoyuan, Taiwan Research Center for Industry of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan Liver Research Center, Division of Hepatology, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
Mu-Hong Chen*
Affiliation:
Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
*
Address for correspondence: Mu-Hong Chen, MD, PhD, Department of Psychiatry, No. 201, Shih-Pai Road, Sec. 2, 11217, Taipei, Taiwan. Tel.: 886-2-28344012; Fax: 886-2-28344012. Email: kremer7119@gmail.com Tai-Long Pan, PhD, School of Traditional Chinese Medicine, Chang Gung University, Taoyuan, Taiwan. Tel.: 886-2-28344012; Fax: 886-2-28344012. Email: pan@mail.cgu.edu.tw
Address for correspondence: Mu-Hong Chen, MD, PhD, Department of Psychiatry, No. 201, Shih-Pai Road, Sec. 2, 11217, Taipei, Taiwan. Tel.: 886-2-28344012; Fax: 886-2-28344012. Email: kremer7119@gmail.com Tai-Long Pan, PhD, School of Traditional Chinese Medicine, Chang Gung University, Taoyuan, Taiwan. Tel.: 886-2-28344012; Fax: 886-2-28344012. Email: pan@mail.cgu.edu.tw
Get access Rights & Permissions [Opens in a new window]

Abstract

Studies have suggested an association between metabolic and cerebrocardiovascular diseases and major depressive disorder (MDD). However, the risk of metabolic and cerebrocardiovascular diseases in the unaffected siblings of patients with MDD remains uncertain. Using the Taiwan National Health Insurance Research Database, 22,438 unaffected siblings of patients with MDD and 89,752 age-/sex-matched controls were selected and followed up from 1996 to the end of 2011. Individuals who developed metabolic and cerebrocardiovascular diseases during the follow-up period were identified. Compared with the controls, the unaffected siblings of patients with MDD had a higher prevalence of metabolic diseases, such as hypertension (5.0% vs. 4.5%, p = 0.007), dyslipidemia (5.6% vs. 4.8%, p < 0.001), and obesity (1.7% vs. 1.5%, p = 0.028), and cerebrocardiovascular diseases, such as ischemic stroke (0.6% vs. 0.4%, p < 0.005) and ischemic heart disease (2.1% vs. 1.7%, p < 0.001). Logistic regression analyses revealed that the unaffected siblings of patients with MDD were more likely to develop hypertension, dyslipidemia, ischemic stroke, and ischemic heart diseases during the follow-up period than the controls. Our study revealed a familial coaggregation between MDD and metabolic and cerebrocardiovascular diseases. Additional studies are required to investigate the shared pathophysiology of MDD and metabolic and cerebrocardiovascular diseases.

Keywords

Unaffected siblingsmajor depressive disordermetabolic disordercerebrocardiovascular diseases
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 12 , Issue 3 , June 2021 , pp. 530 - 535
Check for updates
Copyright
© The Author(s), 2020. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aleksandrova, LR, Phillips, AG, Wang, YT. Antidepressant effects of ketamine and the roles of AMPA glutamate receptors and other mechanisms beyond NMDA receptor antagonism. J Psychiatry Neurosci. 2017; 42, 222–229.CrossRefGoogle ScholarPubMed
Buist-Bouwman, MA, De Graaf, R, Vollebergh, WA, Alonso, J, Bruffaerts, R, Ormel, J. Functional disability of mental disorders and comparison with physical disorders: a study among the general population of six European countries. Acta Psychiatr Scand. 2006; 113, 492–500.CrossRefGoogle ScholarPubMed
Ferrari, AJ, Somerville, AJ, Baxter, AJ, et al. Global variation in the prevalence and incidence of major depressive disorder: a systematic review of the epidemiological literature. Psychol Med. 2013; 43, 471–481.CrossRefGoogle ScholarPubMed
Jesulola, E, Micalos, P, Baguley, IJ. Understanding the pathophysiology of depression: from monoamines to the neurogenesis hypothesis model – are we there yet? Behav Brain Res. 2018; 341, 79–90.CrossRefGoogle ScholarPubMed
Cuijpers, P, Vogelzangs, N, Twisk, J, Kleiboer, A, Li, J, Penninx, BW. Comprehensive meta-analysis of excess mortality in depression in the general community versus patients with specific illnesses. Am J Psychiatry. 2014; 171, 453–462.CrossRefGoogle ScholarPubMed
O’Neil, A, Stevenson, CE, Williams, ED, Mortimer, D, Oldenburg, B, Sanderson, K. The health-related quality of life burden of co-morbid cardiovascular disease and major depressive disorder in Australia: findings from a population-based, cross-sectional study. Qual Life Res. 2013; 22, 37–44.CrossRefGoogle ScholarPubMed
Cuijpers, P, Smit, F. Excess mortality in depression: a meta-analysis of community studies. J Affect Disord. 2002; 72, 227–236.CrossRefGoogle ScholarPubMed
Gilman, SE, Sucha, E, Kingsbury, M, Horton, NJ, Murphy, JM, Colman, I. Depression and mortality in a longitudinal study: 1952–2011. Cmaj. 2017; 189, e1304–e1310.CrossRefGoogle Scholar
Miettola, J, Niskanen, LK, Viinamäki, H, Kumpusalo, E. Metabolic syndrome is associated with self-perceived depression. Scand J Prim Health Care. 2008; 26, 203–210.CrossRefGoogle ScholarPubMed
O’Connor, C M, Gurbel, PA, Serebruany, VL. Depression and ischemic heart disease. Am Heart J. 2000; 140, 63–69.CrossRefGoogle ScholarPubMed
Dong, JY, Zhang, YH, Tong, J, Qin, LQ. Depression and risk of stroke: a meta-analysis of prospective studies. Stroke. 2012; 43, 32–37.CrossRefGoogle ScholarPubMed
Chen, MH, Pan, TL, Hsu, JW, et al. Risk of type 2 diabetes in adolescents and young adults with attention-deficit/hyperactivity disorder: a nationwide longitudinal study. J Clin Psychiatry. 2018; 79.Google Scholar
Mitchell, AJ, Vancampfort, D, Sweers, K, van Winkel, R, Yu, W, De Hert, M. Prevalence of metabolic syndrome and metabolic abnormalities in schizophrenia and related disorders – a systematic review and meta-analysis. Schizophr Bull. 2013; 39, 306–318.CrossRefGoogle ScholarPubMed
Vancampfort, D, Vansteelandt, K, Correll, CU, et al. Metabolic syndrome and metabolic abnormalities in bipolar disorder: a meta-analysis of prevalence rates and moderators. Am J Psychiatry. 2013; 170, 265–274.CrossRefGoogle ScholarPubMed
Fernandez-Egea, E, Bernardo, M, Donner, T, et al. Metabolic profile of antipsychotic-naive individuals with non-affective psychosis. Br J Psychiatry. 2009; 194, 434–438.CrossRefGoogle ScholarPubMed
Koponen, H, Vuononvirta, J, Mäki, P, et al. No difference in insulin resistance and lipid levels between controls and adolescent subjects who later develop psychosis. Schizophr Res. 2008; 104, 31–35.CrossRefGoogle ScholarPubMed
Toma, S, Fiksenbaum, L, Omrin, D, Goldstein, BI. Elevated familial cardiovascular burden among adolescents with familial bipolar disorder. Front Psychiatry. 2019; 10, 8.CrossRefGoogle ScholarPubMed
Sobczak, S, Honig, A, Christophe, A, et al. Lower high-density lipoprotein cholesterol and increased omega-6 polyunsaturated fatty acids in first-degree relatives of bipolar patients. Psychol Med. 2004; 34, 103–112.CrossRefGoogle ScholarPubMed
Dong, C, Sanchez, LE, Price, RA. Relationship of obesity to depression: a family-based study. Int J Obes Relat Metab Disord. 2004; 28, 790–795.CrossRefGoogle ScholarPubMed
Mannie, ZN, Williams, C, Diesch, J, Steptoe, A, Leeson, P, Cowen, PJ. Cardiovascular and metabolic risk profile in young people at familial risk of depression. Br J Psychiatry. 2013; 203, 18–23.CrossRefGoogle ScholarPubMed
Huang, MH, Chen, MH, Huang, KL, et al. Increased risk of type 2 diabetes among the siblings of patients with schizophrenia. CNS Spectr. 2019; 24, 453–459.CrossRefGoogle ScholarPubMed
Kuo, CF, Grainge, MJ, Valdes, AM, et al. Familial aggregation of systemic lupus erythematosus and coaggregation of autoimmune diseases in affected families. JAMA Intern Med. 2015; 175, 1518–1526.CrossRefGoogle ScholarPubMed
Cheng, CM, Chang, WH, Chen, MH, et al. Co-aggregation of major psychiatric disorders in individuals with first-degree relatives with schizophrenia: a nationwide population-based study. Mol Psychiatry. 2018; 23, 1756–1763.CrossRefGoogle ScholarPubMed
Chen, MH, Lan, WH, Hsu, JW, et al. Risk of developing type 2 diabetes in adolescents and young adults with autism spectrum disorder: a nationwide longitudinal study. Diabetes Care. 2016; 39, 788–793.CrossRefGoogle Scholar
Chen, MH, Pan, TL, Li, CT, et al. Risk of stroke among patients with post-traumatic stress disorder: nationwide longitudinal study. Br J Psychiatry. 2015; 206, 302–307.CrossRefGoogle ScholarPubMed
Chen, MH, Su, TP, Chen, YS, et al. Attention deficit hyperactivity disorder, tic disorder, and allergy: is there a link? A nationwide population-based study. J Child Psychol Psychiatry. 2013; 54, 545–551.CrossRefGoogle Scholar
Liu, CY, Hung, YT, Chuang, YL, Chen, YJ, Weng, WS, Liu, JS. Incorporating development stratification of Taiwan townships into sampling design of large scale health interview survey. J Health Manage. 2006; 4, 1–22.Google Scholar
Natsuaki, MN, Ge, X, Leve, LD, et al. Genetic liability, environment, and the development of fussiness in toddlers: the roles of maternal depression and parental responsiveness. Dev Psychol. 2010; 46, 1147–1158.CrossRefGoogle ScholarPubMed
Liu, L, Li, Y, Tollefsbol, TO. Gene-environment interactions and epigenetic basis of human diseases. Curr Issues Mol Biol. 2008; 10, 25–36.Google ScholarPubMed
Bornstein, SR, Schuppenies, A, Wong, ML, Licinio, J. Approaching the shared biology of obesity and depression: the stress axis as the locus of gene-environment interactions. Mol Psychiatry. 2006; 11, 892–902.CrossRefGoogle ScholarPubMed
Della-Morte, D, Guadagni, F, Palmirotta, R, et al. Genetics of ischemic stroke, stroke-related risk factors, stroke precursors and treatments. Pharmacogenomics. 2012; 13, 595–613.CrossRefGoogle ScholarPubMed
McCaffery, JM, Duan, QL, Frasure-Smith, N, et al. Genetic predictors of depressive symptoms in cardiac patients. Am J Med Genet B Neuropsychiatr Genet. 2009; 150b, 381–388.CrossRefGoogle ScholarPubMed
Amare, AT, Schubert, KO, Klingler-Hoffmann, M, Cohen-Woods, S, Baune, BT. The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies. Transl Psychiatry. 2017; 7, e1007.CrossRefGoogle ScholarPubMed
Abkevich, V, Camp, NJ, Hensel, CH, et al. Predisposition locus for major depression at chromosome 12q22–12q23.2. Am J Hum Genet. 2003; 73, 1271–1281.CrossRefGoogle ScholarPubMed
Aberg, K, Dai, F, Sun, G, et al. A genome-wide linkage scan identifies multiple chromosomal regions influencing serum lipid levels in the population on the Samoan islands. J Lipid Res. 2008; 49, 2169–2178.CrossRefGoogle ScholarPubMed
Wilson, SG, Adam, G, Langdown, M, et al. Linkage and potential association of obesity-related phenotypes with two genes on chromosome 12q24 in a female dizygous twin cohort. Eur J Hum Genet. 2006; 14, 340–348.CrossRefGoogle Scholar
Sherva, R, Miller, MB, Pankow, JS, et al. A whole-genome scan for stroke or myocardial infarction in family blood pressure program families. Stroke. 2008; 39, 1115–1120.CrossRefGoogle ScholarPubMed
Muldoon, MF, Mackey, RH, Williams, KV, Korytkowski, MT, Flory, JD, Manuck, SB. Low central nervous system serotonergic responsivity is associated with the metabolic syndrome and physical inactivity. J Clin Endocrinol Metab. 2004; 89, 266–271.CrossRefGoogle ScholarPubMed
Muldoon, MF, Mackey, RH, Sutton-Tyrrell, K, Flory, JD, Pollock, BG, Manuck, SB. Lower central serotonergic responsivity is associated with preclinical carotid artery atherosclerosis. Stroke. 2007; 38, 2228–2233.CrossRefGoogle ScholarPubMed
Mannie, ZN, Harmer, CJ, Cowen, PJ. Increased waking salivary cortisol levels in young people at familial risk of depression. Am J Psychiatry. 2007; 164, 617–621.CrossRefGoogle ScholarPubMed
Vargas, J, Junco, M, Gomez, C, Lajud, N. Early life stress increases metabolic risk, HPA axis reactivity, and depressive-like behavior when combined with postweaning social isolation in rats. PLoS One. 2016; 11, e0162665.CrossRefGoogle ScholarPubMed
Lemche, E, Chaban, OS, Lemche, AV. Neuroendorine and epigentic mechanisms subserving autonomic imbalance and HPA dysfunction in the metabolic syndrome. Front Neurosci. 2016; 10, 142.CrossRefGoogle ScholarPubMed
Burford, NG, Webster, NA, Cruz-Topete, D. Hypothalamic-pituitary-adrenal axis modulation of glucocorticoids in the cardiovascular system. Int J Mol Sci. 2017; 18.Google ScholarPubMed
Block, A, Schipf, S, Van der Auwera, S, et al. Sex- and age-specific associations between major depressive disorder and metabolic syndrome in two general population samples in Germany. Nord J Psychiatry. 2016; 70, 611–620.CrossRefGoogle ScholarPubMed
Gil, K, Radziłłowicz, P, Zdrojewski, T, et al. Relationship between the prevalence of depressive symptoms and metabolic syndrome: results of the SOPKARD project. Kardiol Pol. 2006; 64, 464–469.Google ScholarPubMed
Nishina, M, Nishina, K, Ohira, T, Makino, K, Iso, H. Associations of psychological distress with metabolic syndrome among Japanese urban residents. J Atheroscler Thromb. 2011; 18, 396–402.CrossRefGoogle ScholarPubMed
Alemany, M. Do the interactions between glucocorticoids and sex hormones regulate the development of the metabolic syndrome? Front Endocrinol. 2012; 3, 27.CrossRefGoogle ScholarPubMed
Soares, CN, Zitek, B. Reproductive hormone sensitivity and risk for depression across the female life cycle: a continuum of vulnerability? J Psychiatry Neurosci. 2008; 33, 331–343.Google Scholar