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. 2021 Mar 11;10(3):431.
doi: 10.3390/antiox10030431.

CYP7A1, NPC1L1, ABCB1, and CD36 Polymorphisms Are Associated with Increased Serum Coenzyme Q10 after Long-Term Supplementation in Women

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CYP7A1, NPC1L1, ABCB1, and CD36 Polymorphisms Are Associated with Increased Serum Coenzyme Q10 after Long-Term Supplementation in Women

Michiyo Takahashi et al. Antioxidants (Basel). .

Abstract

Coenzyme Q10 (CoQ10), an essential component for energy production that exhibits antioxidant activity, is considered a health-supporting and antiaging supplement. However, intervention-controlled studies have provided variable results on CoQ10 supplementation benefits, which may be attributed to individual CoQ10 bioavailability differences. This study aimed to investigate the relationship between genetic polymorphisms and CoQ10 serum levels after long-term supplementation. CoQ10 levels at baseline and after one year of supplementation (150 mg) were determined, and eight single nucleotide polymorphisms (SNPs) in cholesterol metabolism and CoQ10 absorption, efflux, and cellular uptake related genes were assessed. Rs2032582 (ABCB1) and rs1761667 (CD36) were significantly associated with a higher increase in CoQ10 levels in women. In addition, in women, rs3808607 (CYP7A1) and rs2072183 (NPC1L1) were significantly associated with a higher increase in CoQ10 per total cholesterol levels. Subgroup analyses showed that these four SNPs were useful for classifying high- or low-responder to CoQ10 bioavailability after long-term supplementation among women, but not in men. On the other hand, in men, no SNP was found to be significantly associated with increased serum CoQ10. These results collectively provide novel evidence on the relationship between genetics and CoQ10 bioavailability after long-term supplementation, which may help understand and assess CoQ10 supplementation effects, at least in women.

Keywords: bioavailability; cholesterol; coenzyme Q10; single nucleotide polymorphisms.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
Flow chart describing the study design.
Figure 2
Figure 2
Serum ΔCoQ10 and Δ[CoQ10/TC] levels after 1 year of supplementation. Beeswarm box-plots of ΔCoQ10 and Δ[CoQ10/TC] for (a) men and (b) women. The bottom of the box is the 25th percentile, the line that intersects the box is the median, the multiplication sign within the box is the mean, and the top of the box is the 75th percentile. Whiskers above and below the box represent the 10th and 90th percentiles, and the points above and below the whiskers indicate the outliers. Differences between the two groups were analyzed using Welch’s t-tests (p < 0.05). ΔCoQ10, increased serum coenzyme Q10; Δ[CoQ10/TC], cholesterol-adjusted increased serum CoQ10.
Figure 3
Figure 3
Genotypic frequency of the SNPs identified as correlated with the high-responders/low-responder (HR/LR) classification. The frequency of the genotypes of ABCB1 rs2032582 and CD36 rs1761667 associated with the ΔCoQ10, and CYP7A1 rs3808607 and NPC1L1 rs2072183 with the Δ[CoQ10/TC] in women were shown. ΔCoQ10, increased serum coenzyme Q10; Δ[CoQ10/TC], cholesterol-adjusted increased serum CoQ10; HR, high-responder; LR, low-responder.
Figure 4
Figure 4
Box plots showing the serum CoQ10 levels at baseline and after 1 year of supplementation, ΔCoQ10, and Δ[CoQ10/TC] in women. The bottom of the box is the 25th percentile, the line that intersects the box is the median, the multiplication sign within the box is the mean, and the top of the box is the 75th percentile. Whiskers above and below the box represent the 10th and 90th percentiles, and the points above and below the whiskers indicate the outliers. Differences between the two groups were analyzed using Welch’s t-tests (p < 0.05). ΔCoQ10, serum coenzyme Q10; Δ[CoQ10/TC], cholesterol-adjusted serum CoQ10.

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