Causal effects of fatty acids on depression: Mendelian randomization study

Author:

Zeng Lingsi,Lv Honggang,Wang Xubo,Xue Ranran,Zhou Cong,Liu Xia,Yu Hao

Abstract

ObjectivesFatty acids (FA) are widely believed to play a role in the pathophysiology of depression. However, the causal relationships between FA and depression remain elusive and warrant further research. We aimed to investigate the potential causal relationship between FA [saturated fatty acids (SFA), mono-unsaturated fatty acids (MUFA), and polyunsaturated fatty acids (PUFA)] and the risk of depression using Mendelian randomization (MR) analysis.MethodsWe conducted a two-sample MR analysis using large-scale European-based genome-wide association studies (GWASs) summary data related to depression (n = 500,199 individuals) and FA [saturated fatty acids (SFA), mono-unsaturated fatty acids (MUFA), and polyunsaturated fatty acids (PUFA)] levels. MR analysis was performed using the Wald ratio and inverse variance-weighted (IVW) methods, and sensitivity analysis was conducted by the simple mode, weighted mode, weighted median method, and MR-Egger method.ResultsWe found the causal effects for the levels of oleic acid (OA; OR = 1.07, p = 5.72 × 10–4), adrenic acid (OR = 0.74, p = 1.01 × 10–3), α-linolenic acid (ALA; OR = 2.52, p = 1.01 × 10–3), eicosapentaenoic acid (EPA; OR = 0.84, p = 3.11 × 10–3) on depression risk, after Bonferroni correction. The sensitivity analyses indicated similar trends. No causal effect between the levels of SFA and depression risk was observed.ConclusionOur study suggests that adrenic acid and EPA are protective against the risk of depression, while OA and ALA are potential risk factors for depression. Nonetheless, the underlying mechanisms that mediate the association between these FAs and depression risk should be investigated in further experiments.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Frontiers Media SA

Subject

Nutrition and Dietetics,Endocrinology, Diabetes and Metabolism,Food Science

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