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Molecular Biology

The bi-directional association between bipolar disorder and obesity: Evidence from Meta and bioinformatics analysis

International Journal of Obesity volume 47, pages 443–452 (2023)Cite this article

Subjects

Abstract

Background

The globally high prevalence of both obesity and bipolar disorder makes the bidirectional relationship between the two disorders a pivotal phenomenon; hence, a meta-analysis to synopsize their co-occurrence is indispensable. Psychotropic-induced obesity has been reported to be an important factor linking bipolar disorder and obesity. Nonetheless, the molecular signature of this connection is perplexing.

Methods

Here, we leverage both meta-analysis and bioinformatics analysis to provide a conspectus and deduce the molecular signature of obesity in bipolar disease patients following psychotropic treatment. Searches were performed on a diverse collection of databases through June 25, 2020. The Newcastle-Ottawa Scale was used to rate the quality of the studies. Analysis of OR, 95% CI, and tests of homogeneity were carried out with STATA software. For the bioinformatics analysis, the LIMMA package which is incorporated into the Gene Expression Omnibus database was used.

Results

Our search yielded 138 studies, of which 18 fitted our inclusion criteria. Individuals who are obese have an increased risk of developing bipolar disorder (pooled adjusted OR = 1.32, 95% CI = 1.01–1.62). In a manner analogous to this, the pooled adjusted odds ratio reveals that patients with bipolar disorder have an increased chance of obesity (OR = 1.68, 95% CI = 1.35–2). To deduce the molecular signature of obesity in bipolar disorder patients following psychotropic treatment, three data sets from the Gene Expression Omnibus database (GSE5392, GSE87610, and GSE35977) were integrated and the genes obtained were validated by a cohort of known single nucleotide polymorphism of obesity via direct overlap. Results indicate genes that are activated after psychotropic treatment. Some of these genes are CYBB, C3, OLR1, CX3CR1, C3AR1, CD53, AIF1, LY86, BDNF, ALOX5AP, CXCL10, and the preponderance falls under mesodermal and PI3K-Akt signaling pathway. The ROC analysis reveals a strong discriminating value between the two groups (UBAP2L AUC = 0.806, p = 1.1e-04, NOVA2 AUC = 0.73, p = 6.7e-03).

Conclusion

Our study shows unequivocal evidence of a bi-directional association between bipolar disorder and obesity, but more crucially, it provides a snapshot of the molecular signature of obesity in bipolar patients as a result of psychotropic medication.

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Fig. 1: Data extraction flowchart.
Fig. 2: Forest and funnel plot.
Fig. 3: Forest and funnel plot.
Fig. 4: Venny diagram to integrate the three data sets.
Fig. 5: Identification of genes associated with obesity in individuals with bipolar disorder following psychotropic medication.
Fig. 6: Receiver Operating Characteristic curve analysis.
Fig. 7: Up-regulated genes and pathway analysis.

References

  1. Grande I, Berk M, Birmaher B, Vieta E. Bipolar disorder. Lancet. 2016;387:1561–72.

    Article  PubMed  Google Scholar 

  2. Merikangas KR, Jin R, He JP, Kessler RC, Lee S, Sampson NA, et al. Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Arch Gen Psychiatry. 2011;68:241–51.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Clemente AS, Diniz BS, Nicolato R, Kapczinski FP, Soares JC, Firmo JO, et al. Bipolar disorder prevalence: a systematic review and meta-analysis of the literature. Braz J Psychiatry. 2015;37:155–61.

    Article  PubMed  Google Scholar 

  4. Nicholson WM. Emotional factors in obesity. Am J Med Sci. 1946;211:443–7.

    Article  CAS  PubMed  Google Scholar 

  5. Cameron AJ, Magliano DJ, Dunstan DW, Zimmet PZ, Hesketh K, Peeters A, et al. A bi-directional relationship between obesity and health-related quality of life: evidence from the longitudinal AusDiab study. Int J Obes (Lond). 2012;36:295–303.

    Article  CAS  PubMed  Google Scholar 

  6. M DEH, Correll CU, Bobes J, Cetkovich-Bakmas M, Cohen D, Asai I, et al. Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry. 2011;10:52–77.

    Article  Google Scholar 

  7. Weiner M, Warren L, Fiedorowicz JG. Cardiovascular morbidity and mortality in bipolar disorder. Ann Clin Psychiatry. 2011;23:40–7.

    PubMed  PubMed Central  Google Scholar 

  8. Remington G. Schizophrenia, antipsychotics, and the metabolic syndrome: is there a silver lining? Am J Psychiatry. 2006;163:1132–4.

    Article  PubMed  Google Scholar 

  9. Zhao Z, Okusaga OO, Quevedo J, Soares JC, Teixeira AL. The potential association between obesity and bipolar disorder: A meta-analysis. J Affect Disord. 2016;202:120–3.

    Article  PubMed  Google Scholar 

  10. Sicras A, Rejas J, Navarro R, Serrat J, Blanca M. Metabolic syndrome in bipolar disorder: a cross-sectional assessment of a Health Management Organization database. Bipolar Disord. 2008;10:607–16.

    Article  CAS  PubMed  Google Scholar 

  11. Weber NS, Fisher JA, Cowan DN, Niebuhr DW. Psychiatric and general medical conditions comorbid with bipolar disorder in the National Hospital Discharge Survey. Psychiatr Serv. 2011;62:1152–8.

    Article  PubMed  Google Scholar 

  12. McElroy SL. Obesity in patients with severe mental illness: overview and management. J Clin Psychiatry. 2009;70:12–21.

    Article  PubMed  Google Scholar 

  13. Torrent C, Amann B, Sanchez-Moreno J, Colom F, Reinares M, Comes M, et al. Weight gain in bipolar disorder: pharmacological treatment as a contributing factor. Acta Psychiatr Scand. 2008;118:4–18.

    Article  CAS  PubMed  Google Scholar 

  14. McIntyre RS, Konarski JZ, Wilkins K, Soczynska JK, Kennedy SH. Obesity in bipolar disorder and major depressive disorder: results from a national community health survey on mental health and well-being. Can J Psychiatry. 2006;51:274–80.

    Article  PubMed  Google Scholar 

  15. Newcomer JW. Metabolic syndrome and mental illness. Am J Manag Care. 2007;13:S170–7.

    PubMed  Google Scholar 

  16. Shrivastava A, Johnston ME. Weight-gain in psychiatric treatment: risks, implications, and strategies for prevention and management. Mens Sana Monogr. 2010;8:53–68.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Bak M, Fransen A, Janssen J, van Os J, Drukker M. Almost all antipsychotics result in weight gain: a meta-analysis. PLoS One. 2014;9:e94112.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lo CK, Mertz D, Loeb M. Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments. BMC Med Res Methodol. 2014;14:45.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.

    Article  PubMed  PubMed Central  Google Scholar 

  21. von Hippel PT. The heterogeneity statistic I(2) can be biased in small meta-analyses. BMC Med Res Methodol. 2015;15:35.

    Article  Google Scholar 

  22. Hattori S, Zhou XH. Sensitivity analysis for publication bias in meta-analysis of diagnostic studies for a continuous biomarker. Stat Med. 2018;37:327–42.

    Article  PubMed  Google Scholar 

  23. Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, et al. NCBI GEO: archive for functional genomics data sets-update. Nucleic Acids Res. 2013;41:D991–5.

    Article  CAS  PubMed  Google Scholar 

  24. Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004;5:R80.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Ferreira JA, Zwinderman AH. On the Benjamini-Hochberg method. Ann Stat. 2006;34:1827–49.

    Article  Google Scholar 

  26. Chen EY, Tan CM, Kou Y, Duan Q, Wang Z, Meirelles GV, et al. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool. BMC Bioinformatics. 2013;14:128.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Kaimal V, Bardes EE, Tabar SC, Jegga AG, Aronow BJ. ToppCluster: a multiple gene list feature analyzer for comparative enrichment clustering and network-based dissection of biological systems. Nucleic Acids Res. 2010;38:W96–102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Simon GE, Von Korff M, Saunders K, Miglioretti DL, Crane PK, van Belle G, et al. Association between obesity and psychiatric disorders in the US adult population. Arch Gen Psychiatry. 2006;63:824–30.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Siwek M, Dudek D, Jaeschke R, Dembinska-Kiec A, Witkowski L, Arciszewska A, et al. Bipolar spectrum features in obese individuals. Psychiatr Pol. 2015;49:993–1004.

    Article  PubMed  Google Scholar 

  30. Chouinard VA, Pingali SM, Chouinard G, Henderson DC, Mallya SG, Cypess AM, et al. Factors associated with overweight and obesity in schizophrenia, schizoaffective and bipolar disorders. Psychiatry Res. 2016;237:304–10.

    Article  PubMed  Google Scholar 

  31. Pickering RP, Grant BF, Chou SP, Compton WM. Are overweight, obesity, and extreme obesity associated with psychopathology? Results from the national epidemiologic survey on alcohol and related conditions. J Clin Psychiatry. 2007;68:998–1009.

    Article  PubMed  Google Scholar 

  32. Chwastiak LA, Rosenheck RA, Kazis LE. Association of psychiatric illness and obesity, physical inactivity, and smoking among a national sample of veterans. Psychosomatics. 2011;52:230–6.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Cuellar-Barboza AB, Cabello-Arreola A, Winham SJ, Colby C, Romo-Nava F, Nunez NA, et al. Body mass index and blood pressure in bipolar patients: Target cardiometabolic markers for clinical practice. J Affect Disord. 2021;282:637–43.

    Article  PubMed  Google Scholar 

  34. Hartwig FP, Bowden J, Loret de Mola C, Tovo-Rodrigues L, Davey Smith G, Horta BL. Body mass index and psychiatric disorders: a Mendelian randomization study. Sci Rep. 2016;6:32730.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Goldstein BI, Liu SM, Zivkovic N, Schaffer A, Chien LC, Blanco C. The burden of obesity among adults with bipolar disorder in the United States. Bipolar Disord. 2011;13:387–95.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Jerrell JM, McIntyre RS, Tripathi A. A cohort study of the prevalence and impact of comorbid medical conditions in pediatric bipolar disorder. J Clin Psychiatry. 2010;71:1518–25.

    Article  PubMed  Google Scholar 

  37. Shapiro J, Mindra S, Timmins V, Swampillai B, Scavone A, Collinger K, et al. Controlled study of obesity among adolescents with bipolar disorder. J Child Adolesc Psychopharmacol. 2017;27:95–100.

    Article  CAS  PubMed  Google Scholar 

  38. Mohite S, Wu H, Sharma S, Lavagnino L, Zeni CP, Currie TT, et al. Higher prevalence of metabolic syndrome in child-adolescent patients with bipolar disorder. Clin Psychopharmacol Neurosci. 2020;18:279–88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Hossain S, Mainali P, Bhimanadham NN, Imran S, Ahmad N, Patel RS. Medical and psychiatric comorbidities in bipolar disorder: insights from national inpatient population-based study. Cureus. 2019;11:e5636.

    PubMed  PubMed Central  Google Scholar 

  40. Carney CP, Jones LE. Medical comorbidity in women and men with bipolar disorders: a population-based controlled study. Psychosom Med. 2006;68:684–91.

    Article  PubMed  Google Scholar 

  41. Castilla-Puentes RC, Secin R, Grau A, Galeno R, Feijo de Mello M, Pena N, et al. A multicenter study of major depressive disorder among emergency department patients in Latin-American countries. Depress Anxiety. 2008;25:E199–204.

    Article  PubMed  Google Scholar 

  42. Gurpegui M, Martinez-Ortega JM, Gutierrez-Rojas L, Rivero J, Rojas C, Jurado D. Overweight and obesity in patients with bipolar disorder or schizophrenia compared with a non-psychiatric sample. Prog Neuropsychopharmacol Biol Psychiatry. 2012;37:169–75.

    Article  PubMed  Google Scholar 

  43. Lee NY, Kim SH, Cho B, Lee YJ, Chang JS, Kang UG, et al. Patients taking medications for bipolar disorder are more prone to metabolic syndrome than Korea’s general population. Prog Neuropsychopharmacol Biol Psychiatry. 2010;34:1243–9.

    Article  PubMed  Google Scholar 

  44. Kurokawa N, Young EH, Oka Y, Satoh H, Wareham NJ, Sandhu MS, et al. The ADRB3 Trp64Arg variant and BMI: a meta-analysis of 44,833 individuals. Int J Obes (Lond). 2008;32:1240–9.

    Article  CAS  PubMed  Google Scholar 

  45. Shugart YY, Chen L, Day IN, Lewis SJ, Timpson NJ, Yuan W, et al. Two British women studies replicated the association between the Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) and BMI. Eur J Hum Genet. 2009;17:1050–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Benzinou M, Chevre JC, Ward KJ, Lecoeur C, Dina C, Lobbens S, et al. Endocannabinoid receptor 1 gene variations increase risk for obesity and modulate body mass index in European populations. Hum Mol Genet. 2008;17:1916–21.

    Article  CAS  PubMed  Google Scholar 

  47. Wang D, Ma J, Zhang S, Hinney A, Hebebrand J, Wang Y, et al. Association of the MC4R V103I polymorphism with obesity: a Chinese case-control study and meta-analysis in 55,195 individuals. Obesity (Silver Spring). 2010;18:573–9.

    Article  PubMed  Google Scholar 

  48. Siljee JE, Wang Y, Bernard AA, Ersoy BA, Zhang S, Marley A, et al. Subcellular localization of MC4R with ADCY3 at neuronal primary cilia underlies a common pathway for genetic predisposition to obesity. Nat Genet. 2018;50:180–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Nead KT, Li A, Wehner MR, Neupane B, Gustafsson S, Butterworth A, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Hum Mol Genet. 2015;24:3582–94.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Tonjes A, Scholz M, Loeffler M, Stumvoll M. Association of Pro12Ala polymorphism in peroxisome proliferator-activated receptor gamma with Pre-diabetic phenotypes: meta-analysis of 57 studies on nondiabetic individuals. Diabetes Care. 2006;29:2489–97.

    Article  PubMed  Google Scholar 

  51. Yeo GS, Connie Hung CC, Rochford J, Keogh J, Gray J, Sivaramakrishnan S, et al. A de novo mutation affecting human TrkB associated with severe obesity and developmental delay. Nat Neurosci. 2004;7:1187–9.

    Article  CAS  PubMed  Google Scholar 

  52. Marenne G, Hendricks AE, Perdikari A, Bounds R, Payne F, Keogh JM, et al. Exome sequencing identifies genes and gene sets contributing to severe childhood obesity, linking PHIP variants to repressed POMC transcription. Cell Metab. 2020;31:1107–19.e12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Montague CT, Farooqi IS, Whitehead JP, Soos MA, Rau H, Wareham NJ, et al. Congenital leptin deficiency is associated with severe early-onset obesity in humans. Nature. 1997;387:903–8.

    Article  CAS  PubMed  Google Scholar 

  54. Krude H, Biebermann H, Luck W, Horn R, Brabant G, Gruters A. Severe early-onset obesity, adrenal insufficiency and red hair pigmentation caused by POMC mutations in humans. Nat Genet. 1998;19:155–7.

    Article  CAS  PubMed  Google Scholar 

  55. Michaud JL, Boucher F, Melnyk A, Gauthier F, Goshu E, Levy E, et al. Sim1 haploinsufficiency causes hyperphagia, obesity and reduction of the paraventricular nucleus of the hypothalamus. Hum Mol Genet. 2001;10:1465–73.

    Article  CAS  PubMed  Google Scholar 

  56. Doche ME, Bochukova EG, Su HW, Pearce LR, Keogh JM, Henning E, et al. Human SH2B1 mutations are associated with maladaptive behaviors and obesity. J Clin Invest. 2012;122:4732–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Cowley MA, Pronchuk N, Fan W, Dinulescu DM, Colmers WF, Cone RD. Integration of NPY, AGRP, and melanocortin signals in the hypothalamic paraventricular nucleus: evidence of a cellular basis for the adipostat. Neuron. 1999;24:155–63.

    Article  CAS  PubMed  Google Scholar 

  58. Hajian-Tilaki K. Receiver operating characteristic (ROC) curve analysis for medical diagnostic test evaluation. Caspian J Intern Med. 2013;4:627–35.

    PubMed  PubMed Central  Google Scholar 

  59. McElroy SL, Keck PE Jr. Obesity in bipolar disorder: an overview. Curr Psychiatry Rep. 2012;14:650–8.

    Article  PubMed  Google Scholar 

  60. Reilly-Harrington NA, Feig EH, Huffman JC. Bipolar disorder and obesity: contributing factors, impact on clinical course, and the role of bariatric surgery. Curr Obes Rep. 2018;7:294–300.

    Article  PubMed  Google Scholar 

  61. Cook BG, Li D, Heinrich KM. Obesity, physical activity, and sedentary behavior of youth with learning disabilities and ADHD. J Learn Disabil. 2015;48:563–76.

    Article  PubMed  Google Scholar 

  62. Pagoto SL, Curtin C, Lemon SC, Bandini LG, Schneider KL, Bodenlos JS, et al. Association between adult attention deficit/hyperactivity disorder and obesity in the US population. Obesity (Silver Spring). 2009;17:539–44.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Cortese S, Angriman M, Maffeis C, Isnard P, Konofal E, Lecendreux M, et al. Attention-deficit/hyperactivity disorder (ADHD) and obesity: a systematic review of the literature. Crit Rev Food Sci Nutr. 2008;48:524–37.

    Article  PubMed  Google Scholar 

  64. D’Argenio A, Mazzi C, Pecchioli L, Di Lorenzo G, Siracusano A, Troisi A. Early trauma and adult obesity: is psychological dysfunction the mediating mechanism? Physiol Behav. 2009;98:543–6.

    Article  PubMed  Google Scholar 

  65. Taylor VH, McIntyre RS, Remington G, Levitan RD, Stonehocker B, Sharma AM. Beyond pharmacotherapy: understanding the links between obesity and chronic mental illness. Can J Psychiatry. 2012;57:5–12.

    Article  PubMed  Google Scholar 

  66. Singh M. Mood, food, and obesity. Front Psychol. 2014;5:925.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Hirth JM, Rahman M, Berenson AB. The association of posttraumatic stress disorder with fast food and soda consumption and unhealthy weight loss behaviors among young women. J Womens Health (Larchmt). 2011;20:1141–9.

    Article  PubMed  Google Scholar 

  68. Kubzansky LD, Bordelois P, Jun HJ, Roberts AL, Cerda M, Bluestone N, et al. The weight of traumatic stress: a prospective study of posttraumatic stress disorder symptoms and weight status in women. JAMA Psychiatry. 2014;71:44–51.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Farooqi IS, Jebb SA, Langmack G, Lawrence E, Cheetham CH, Prentice AM, et al. Effects of recombinant leptin therapy in a child with congenital leptin deficiency. N Engl J Med. 1999;341:879–84.

    Article  CAS  PubMed  Google Scholar 

  70. Farooqi IS, O’Rahilly S. 20 years of leptin: human disorders of leptin action. J Endocrinol. 2014;223:T63–70.

    Article  CAS  PubMed  Google Scholar 

  71. Yeo GSH, Chao DHM, Siegert AM, Koerperich ZM, Ericson MD, Simonds SE, et al. The melanocortin pathway and energy homeostasis: From discovery to obesity therapy. Mol Metab. 2021;48:101206.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. Kuhnen P, Clement K, Wiegand S, Blankenstein O, Gottesdiener K, Martini LL, et al. Proopiomelanocortin deficiency treated with a melanocortin-4 receptor agonist. N Engl J Med. 2016;375:240–6.

    Article  PubMed  Google Scholar 

  73. Chen J. The Src/PI3K/Akt pathway may play a key role in the production of IL-17 in obesity. J Leukoc Biol. 2010;87:355. author reply 7

    Article  CAS  PubMed  Google Scholar 

  74. Huang X, Liu G, Guo J, Su Z. The PI3K/AKT pathway in obesity and type 2 diabetes. Int J Biol Sci. 2018;14:1483–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Su X, Gu D, Xu L, Liang Z, Luo X, Yang P, et al. PI3K/Akt pathway expression in children with different obesity degrees and its relationship with glucolipid metabolism and insulin resistance. Am J Transl Res. 2021;13:6592–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  76. Huang XF, Chen JZ. Obesity, the PI3K/Akt signal pathway and colon cancer. Obes Rev. 2009;10:610–6.

    Article  CAS  PubMed  Google Scholar 

  77. Ortega-Molina A, Lopez-Guadamillas E, Mattison JA, Mitchell SJ, Munoz-Martin M, Iglesias G, et al. Pharmacological inhibition of PI3K reduces adiposity and metabolic syndrome in obese mice and rhesus monkeys. Cell Metab. 2015;21:558–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

  1. Organization of African Academic Doctors (OAAD), Off Kamiti Road, P.O Box 25305-00100, Nairobi, Kenya

    Piniel Alphayo Kambey, Lalit Dzifa Kodzo, Fattimah Serojane & Bolorunduro Janet Oluwasola

  2. School of Nursing and Health, Zhengzhou University, Zhengzhou, Henan Province, China

    Lalit Dzifa Kodzo

  3. Nursing and Midwifery Training college, Twifo Praso, Central Region, Ghana

    Lalit Dzifa Kodzo

  4. Southern Medical University, Guangzhou, China

    Fattimah Serojane

  5. Departure of computer science and Technology, Harbin Institute of Technology, No 92, Xidazhi Street, Harbin, 150001, P. R. China

    Bolorunduro Janet Oluwasola

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PAK designed the meta-analysis and bioinformatics section and led the write-up. LDK, FS, and BJO participated in data gathering and writing. The final manuscript was read and approved by all authors.

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Correspondence to Piniel Alphayo Kambey.

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Kambey, P.A., Kodzo, L.D., Serojane, F. et al. The bi-directional association between bipolar disorder and obesity: Evidence from Meta and bioinformatics analysis. Int J Obes 47, 443–452 (2023). https://doi.org/10.1038/s41366-023-01277-6

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