Details

Autor(en) / Beteiligte

• Karageorgiou, Vasilios
• Casanova, Francesco
• O'Loughlin, Jessica
• Green, Harry
• McKinley, Trevelyan J
• Bowden, Jack
• Tyrrell, Jessica

Titel

Body mass index and inflammation in depression and treatment-resistant depression: a Mendelian randomisation study

Ist Teil von

• BMC medicine, 2023-09, Vol.21 (1), p.1-14, Article 355

Ort / Verlag

London: BioMed Central Ltd

Erscheinungsjahr

2023

Quelle

SpringerLink Journals - AutoHoldings

Beschreibungen/Notizen

• Background Major depressive disorder (MDD) has a significant impact on global burden of disease. Complications in clinical management can occur when response to pharmacological modalities is considered inadequate and symptoms persist (treatment-resistant depression (TRD)). We aim to investigate inflammation, proxied by C-reactive protein (CRP) levels, and body mass index (BMI) as putative causal risk factors for depression and subsequent treatment resistance, leveraging genetic information to avoid confounding via Mendelian randomisation (MR). Methods We used the European UK Biobank subcohort ([formula omitted]), the mental health questionnaire (MHQ) and clinical records. For treatment resistance, a previously curated phenotype based on general practitioner (GP) records and prescription data was employed. We applied univariable and multivariable MR models to genetically predict the exposures and assess their causal contribution to a range of depression outcomes. We used a range of univariable, multivariable and mediation MR models techniques to address our research question with maximum rigour. In addition, we developed a novel statistical procedure to apply pleiotropy-robust multivariable MR to one sample data and employed a Bayesian bootstrap procedure to accurately quantify estimate uncertainty in mediation analysis which outperforms standard approaches in sparse binary outcomes. Given the flexibility of the one-sample design, we evaluated age and sex as moderators of the effects. Results In univariable MR models, genetically predicted BMI was positively associated with depression outcomes, including MDD ([formula omitted] ([formula omitted] CI): 0.133(0.072, 0.205)) and TRD (0.347(0.002, 0.682)), with a larger magnitude in females and with age acting as a moderator of the effect of BMI on severity of depression (0.22(0.050, 0.389)). Multivariable MR analyses suggested an independent causal effect of BMI on TRD not through CRP (0.395(0.004, 0.732)). Our mediation analyses suggested that the effect of CRP on severity of depression was partly mediated by BMI. Individuals with TRD ([formula omitted]) observationally had higher CRP and BMI compared with individuals with MDD alone and healthy controls. Discussion Our work supports the assertion that BMI exerts a causal effect on a range of clinical and questionnaire-based depression phenotypes, with the effect being stronger in females and in younger individuals. We show that this effect is independent of inflammation proxied by CRP levels as the effects of CRP do not persist when jointly estimated with BMI. This is consistent with previous evidence suggesting that overweight contributed to depression even in the absence of any metabolic consequences. It appears that BMI exerts an effect on TRD that persists when we account for BMI influencing MDD. Keywords: Mendelian randomisation, Body mass index, Depression