Literature DB >> 33542229

Obesity and atypical depression symptoms: findings from Mendelian randomization in two European cohorts.

Giorgio Pistis1, Yuri Milaneschi2, Caroline L Vandeleur3, Aurélie M Lasserre3, Brenda W J H Penninx2, Femke Lamers2, Dorret I Boomsma4, Jouke-Jan Hottenga4, Pedro Marques-Vidal5, Peter Vollenweider5, Gérard Waeber5, Jean-Michel Aubry6, Martin Preisig3, Zoltán Kutalik7,8.   

Abstract

Studies considering the causal role of body mass index (BMI) for the predisposition of major depressive disorder (MDD) based on a Mendelian Randomization (MR) approach have shown contradictory results. These inconsistent findings may be attributable to the heterogeneity of MDD; in fact, several studies have documented associations between BMI and mainly the atypical subtype of MDD. Using a MR approach, we investigated the potential causal role of obesity in both the atypical subtype and its five specific symptoms assessed according to the Statistical Manual of Mental Disorders (DSM), in two large European cohorts, CoLaus|PsyCoLaus (n = 3350, 1461 cases and 1889 controls) and NESDA|NTR (n = 4139, 1182 cases and 2957 controls). We first tested general obesity measured by BMI and then the body fat distribution measured by waist-to-hip ratio (WHR). Results suggested that BMI is potentially causally related to the symptom increase in appetite, for which inverse variance weighted, simple median and weighted median MR regression estimated slopes were 0.68 (SE = 0.23, p = 0.004), 0.77 (SE = 0.37, p = 0.036), and 1.11 (SE = 0.39, p = 0.004). No causal effect of BMI or WHR was found on the risk of the atypical subtype or for any of the other atypical symptoms. Our findings show that higher obesity is likely causal for the specific symptom of increase in appetite in depressed participants and reiterate the need to study depression at the granular level of its symptoms to further elucidate potential causal relationships and gain additional insight into its biological underpinnings.

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Year:  2021        PMID: 33542229      PMCID: PMC7862438          DOI: 10.1038/s41398-021-01236-7

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


  55 in total

1.  Six-year longitudinal course and outcomes of subtypes of depression.

Authors:  F Lamers; A T F Beekman; A M van Hemert; R A Schoevers; B W J H Penninx
Journal:  Br J Psychiatry       Date:  2015-08-20       Impact factor: 9.319

2.  Obesity comorbidity in unipolar major depressive disorder: refining the core phenotype.

Authors:  Robert D Levitan; Caroline Davis; Allan S Kaplan; Tamara Arenovich; D I W Phillips; Arun V Ravindran
Journal:  J Clin Psychiatry       Date:  2012-05-15       Impact factor: 4.384

3.  Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old.

Authors:  Kenneth F Adams; Arthur Schatzkin; Tamara B Harris; Victor Kipnis; Traci Mouw; Rachel Ballard-Barbash; Albert Hollenbeck; Michael F Leitzmann
Journal:  N Engl J Med       Date:  2006-08-22       Impact factor: 91.245

Review 4.  Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies.

Authors:  Floriana S Luppino; Leonore M de Wit; Paul F Bouvy; Theo Stijnen; Pim Cuijpers; Brenda W J H Penninx; Frans G Zitman
Journal:  Arch Gen Psychiatry       Date:  2010-03

5.  Prospective associations of depression subtypes with cardio-metabolic risk factors in the general population.

Authors:  A M Lasserre; M-P F Strippoli; J Glaus; M Gholam-Rezaee; C L Vandeleur; E Castelao; P Marques-Vidal; G Waeber; P Vollenweider; M Preisig
Journal:  Mol Psychiatry       Date:  2016-10-11       Impact factor: 15.992

6.  METAL: fast and efficient meta-analysis of genomewide association scans.

Authors:  Cristen J Willer; Yun Li; Gonçalo R Abecasis
Journal:  Bioinformatics       Date:  2010-07-08       Impact factor: 6.937

7.  Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.

Authors:  David M Howard; Mark J Adams; Toni-Kim Clarke; Jonathan D Hafferty; Jude Gibson; Masoud Shirali; Jonathan R I Coleman; Saskia P Hagenaars; Joey Ward; Eleanor M Wigmore; Clara Alloza; Xueyi Shen; Miruna C Barbu; Eileen Y Xu; Heather C Whalley; Riccardo E Marioni; David J Porteous; Gail Davies; Ian J Deary; Gibran Hemani; Klaus Berger; Henning Teismann; Rajesh Rawal; Volker Arolt; Bernhard T Baune; Udo Dannlowski; Katharina Domschke; Chao Tian; David A Hinds; Maciej Trzaskowski; Enda M Byrne; Stephan Ripke; Daniel J Smith; Patrick F Sullivan; Naomi R Wray; Gerome Breen; Cathryn M Lewis; Andrew M McIntosh
Journal:  Nat Neurosci       Date:  2019-02-04       Impact factor: 28.771

8.  Body mass index and psychiatric disorders: a Mendelian randomization study.

Authors:  Fernando Pires Hartwig; Jack Bowden; Christian Loret de Mola; Luciana Tovo-Rodrigues; George Davey Smith; Bernardo Lessa Horta
Journal:  Sci Rep       Date:  2016-09-07       Impact factor: 4.379

9.  The MR-Base platform supports systematic causal inference across the human phenome.

Authors:  Gibran Hemani; Jie Zheng; Benjamin Elsworth; Tom R Gaunt; Philip C Haycock; Kaitlin H Wade; Valeriia Haberland; Denis Baird; Charles Laurin; Stephen Burgess; Jack Bowden; Ryan Langdon; Vanessa Y Tan; James Yarmolinsky; Hashem A Shihab; Nicholas J Timpson; David M Evans; Caroline Relton; Richard M Martin; George Davey Smith
Journal:  Elife       Date:  2018-05-30       Impact factor: 8.140

Review 10.  Depression and obesity: evidence of shared biological mechanisms.

Authors:  Yuri Milaneschi; W Kyle Simmons; Elisabeth F C van Rossum; Brenda Wjh Penninx
Journal:  Mol Psychiatry       Date:  2018-02-16       Impact factor: 15.992

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  5 in total

1.  Bidirectional two-sample Mendelian randomization analysis identifies causal associations between relative carbohydrate intake and depression.

Authors:  Shi Yao; Meng Zhang; Shan-Shan Dong; Jia-Hao Wang; Kun Zhang; Jing Guo; Yan Guo; Tie-Lin Yang
Journal:  Nat Hum Behav       Date:  2022-07-18

2.  Circulating Insulin-Like Growth Factor 1 Levels and Migraine Risk: A Mendelian Randomization Study.

Authors:  Reziya Abuduxukuer; Peng-Peng Niu; Zhen-Ni Guo; Yu-Ming Xu; Yi Yang
Journal:  Neurol Ther       Date:  2022-09-01

3.  Longitudinal association between binge eating and metabolic syndrome in adults: Findings from the ELSA-Brasil cohort.

Authors:  Francesca Solmi; Arlinda B Moreno; Glyn Lewis; Maria Angélica Nunes; Maria de Jesus Mendes da Fonseca; Rosane Harter Griep
Journal:  Acta Psychiatr Scand       Date:  2021-08-16       Impact factor: 7.734

4.  Body Mass Index and risk for onset of mood and anxiety disorders in the general population: Results from the Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2).

Authors:  Leonore de Wit; Margreet Ten Have; Pim Cuijpers; Ron de Graaf
Journal:  BMC Psychiatry       Date:  2022-08-02       Impact factor: 4.144

5.  Higher Circulating Vitamin D Levels Are Associated With Decreased Migraine Risk: A Mendelian Randomization Study.

Authors:  Peng-Peng Niu; Xue Wang; Yu-Ming Xu
Journal:  Front Nutr       Date:  2022-07-08
  5 in total

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