The effect of coenzyme Q10 supplementation on liver enzymes: A systematic review and meta-analysis of randomized clinical trials

Coenzyme Q10 is a potent antioxidant and is necessary for energy production in mitochondria. Clinical data have suggested that coenzyme Q10 (CoQ10) has some beneficial effects on liver function. However, these results are equivocal. This systematic review and meta-analysis aimed to clarify the effect of coenzyme Q10 supplementation on the serum concentration of liver function enzymes. We searched the online databases using relevant keywords up to April 2022. Randomized clinical trials (RCTs) investigating the effect of CoQ10, compared with a control group, on serum concentrations of liver enzymes were included. We found a significant reduction following supplementation with CoQ10 on serum concentrations of alanine aminotransferase (ALT) based on 15 effect sizes from 13 RCTs (weighted mean difference [WMD] = -5.33 IU/L; 95% CI: -10.63, -0.03; p = .04), aspartate aminotransferase (AST) based on 15 effect sizes from 13 RCTs (WMD = -4.91 IU/L; 95% CI: -9.35, -0.47; p = .03) and gamma-glutamyl transferase (GGT) based on eight effect sizes from six RCTs (WMD = -8.07 IU/L; 95% CI: -12.82, -3.32; p = .001; I-2 = 91.6%). However, we found no significant effects of CoQ10 supplementation on alkaline phosphatase concentration (WMD = 1.10 IU/L; 95% CI: -5.98, 8.18; p = .76). CoQ10 supplementation significantly improves circulating ALT, AST, and GGT levels; therefore, it might positively affect liver function. Further high-quality RCTs with more extended intervention periods and larger sample sizes are recommended to confirm our results.

Automated summary

Coenzyme Q10 supplementation significantly reduces serum concentrations of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and gamma-glutamyl transferase (GGT), indicating a positive effect on liver function. However, there is no significant impact on alkaline phosphatase concentration. Further high-quality randomized clinical trials with longer intervention periods and larger sample sizes are needed to validate these findings.