Exploring the causal effects of the gut microbiome on serum lipid levels: A two-sample Mendelian randomization analysis

Gongjie Guo; Yonglin Wu; Yingjian Liu; Zixian Wang; Guifeng Xu; Xipei Wang; Feiqing Liang; Weihua Lai; Xiao Xiao; Qian Zhu; Shilong Zhong

doi:10.3389/fmicb.2023.1113334

Exploring the causal effects of the gut microbiome on serum lipid levels: A two-sample Mendelian randomization analysis

Front Microbiol. 2023 Feb 16:14:1113334. doi: 10.3389/fmicb.2023.1113334. eCollection 2023.

Authors

Gongjie Guo^{1

2

3}, Yonglin Wu^{2

3

4}, Yingjian Liu^{1

2

3}, Zixian Wang^{2

3}, Guifeng Xu^{1

2

3}, Xipei Wang^{5

6}, Feiqing Liang⁷, Weihua Lai^{2

3}, Xiao Xiao^{2

3}, Qian Zhu^{2

3}, Shilong Zhong^{1

2

3

4

5}

Affiliations

¹ School of Medicine, South China University of Technology, Guangzhou, China.
² Department of Pharmacy, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
³ Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
⁴ School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China.
⁵ Laboratory of Phase I Clinical Trials, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
⁶ Research Center of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
⁷ School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China.

Abstract

Background: The gut microbiome was reported to be associated with dyslipidemia in previous observational studies. However, whether the composition of the gut microbiome has a causal effect on serum lipid levels remains unclear.

Objective: A two-sample Mendelian randomization (MR) analysis was conducted to investigate the potential causal relationships between gut microbial taxa and serum lipid levels, including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), and log-transformed triglyceride (TG) levels.

Materials and methods: Summary statistics of genome-wide association studies (GWASs) for the gut microbiome and four blood lipid traits were obtained from public datasets. Five recognized MR methods were applied to assess the causal estimates, among which, the inverse-variance weighted (IVW) regression was used as the primary MR method. A series of sensitivity analyses were performed to test the robustness of the causal estimates.

Results: The combined results from the five MR methods and sensitivity analysis showed 59 suggestive causal associations and four significant causal associations. In particular, genus Terrisporobacter was associated with higher LDL-C (P _IVW = 3.01 × 10^-6) and TC levels (P _IVW = 2.11 × 10^-4), phylum Actinobacteria was correlated with higher LDL-C level (P _IVW = 4.10 × 10^-4), and genus Oscillospira was associated with lower TG level (P _IVW = 2.19 × 10^-6).

Conclusion: This research may provide novel insights into the causal relationships of the gut microbiome on serum lipid levels and new therapeutic or prevention strategies for dyslipidemia.

Keywords: Mendelian randomization; causal relationship; dyslipidemia; gut microbiota; serum lipid levels.