CYP2C19 metabolic estrogen phenotypes and endometriosis risk in Brazilian women

Endometriosis is a chronic disease characterized by the presence of endometrium-like tissue outside the uterine cavity, associated with pelvic pain and infertility. The prevalence ranges between 2% and 10% in women of reproductive age and 30%-50% among infertile women [¹]. The pathophysiology of endometriosis is still a matter of investigation, but it is clear that estrogen-mediated alterations play a major role as drivers of chronic inflammation, promoting endometriotic cell survival and lesion progression [¹]. Candidate-gene and genome-wide studies identified a number of genetic factors affecting susceptibility to endometriosis, including Single Nucleotide Polymorphisms (SNPs) in CYP2C19, the gene encoding the cytochrome P450 2C19 (CYP2C19) protein. CYP2C19 is a major drug-metabolizing enzyme, also known to contribute to estrogen metabolism [²,³], such that functional CYP2C19 polymorphisms that lead to changes in estrogen levels might affect susceptibility to endometriosis. Indeed, rs4244285, the SNP defining the no-function CYP2C19*2 star allele, has been reported to associate with increased endometriosis risk [⁴,⁵,⁶,⁷], whereas rs12248560, which defines the increased function CYP2C19*17 has been associated with decreased risk of endometriosis development [⁵,⁶]. These associations, however, have not been confirmed in other studies [⁷,⁸]. Importantly, carriage of either CYP2C19*2 or CYP2C19*17 in homozygosis or heterozygosis predicts distinct CYP2C19 metabolic phenotypes, whereas compound heterozygosis for these SNPs associates with reduced CYP2C19 activity, despite the presence of the increased function CYP2C19*17 allele [⁹,¹⁰]. The authors investigated the influence of genotype-inferred CYP2C19 metabolic phenotypes, rather than individual CYP2C19 SNPs, on endometriosis risk in Brazilian women.

The study cohort comprised endometriosis patients (n = 180) and control women (n=176) with a negative diagnosis of endometriosis by laparoscopy or laparotomy. The women were recruited at two reference hospitals of the Brazilian Public Health System in Rio de Janeiro. Most participants had been enrolled in a previous report [⁷], which provides details of approval of the study protocol and written informed consent by both institutions'review boards and the criteria adopted for diagnosis of endometriosis and Deeply Infiltrating Endometriosis (DIE). DIE was observed in 100 patients.

Participants were genotyped for rs4244285G>A (GRCh38.13 chr 10:94781859, CYP2C19*2) and rs12248560C>T (GRCh38.13 chr 10:94761900, CYP2C19*17) in CYP2C19, using TaqMan allele discrimination probes and a 7500 Real-Tyme System. CYP2C19 metabolic phenotypes were assigned according to the Clinical Pharmacogenetics Implementation Consortium guidelines [⁹], based on the CYP2C19 diplotypes comprising the *2, *17 and *1 (default) alleles, as follows: normal metabolizer (NM: diplotype *1/*1), intermediate metabolizer (IM: *1/*2 or *2/*17), poor metabolizer (PM: *2/*2), rapid metabolizer (RM: *1/*17) and ultrarapid metabolizer (UM: *17/*17). Pearson’s Chi-Square test (χ²) was performed to assess the possible difference in CYP2C19 frequency distribution. Odds Ratio (OR) with their 95% CI was used to evaluate the association of CYP2C19 phenotypes with endometriosis risk, either considering all cases or DIE. The Cochran-Armitage trend test was performed to assess the association between phenotypes and endometriosis risk.

Table 1 shows the distribution of CYP2C19 alleles in the study cohorts. The Minor Allele Frequency (MAF) of rs4244285 (CYP2C19*2) and rs12248560 (CYP2C19*17) in the control group were similar to previous data for healthy Brazilians [¹¹]. Considering the frequency distribution of the CYP2C19 star alleles (*2, *17 and default *1), there was a significant difference between controls and overall cases (p=0.013) or DIE patients (p = 0.007). CYP2C19*2 had a higher frequency in all cases and DIE patients than controls, while the opposite was observed for CYP2C19*17. The distribution of diplotype-predicted CYP2C19 phenotypes (Table 1; Supplementary Fig. 1) differed nominally (p = 0.070) in controls versus overall endometriosis cases, but significantly between controls and DIE patients (p = 0.040). However, the Cochran-Armit-age test revealed highly significant trends for an association of CYP2C19-predicted phenotypes with susceptibility to endometriosis, whether overall cases (p = 0.004) or DIE patients (p = 0.005). Thus, the susceptibility of disease increased progressively as the assigned CYP2C19 metabolic activity decreased from UM (6.8% controls, 2.8% all cases and 4.0% DIE) to PM (1.1% controls, 4.4% all cases and 7.0% DIE) phenotypes (Table 1).

Table 1
Distribution of CYP2C19 alleles, diplotypes and metabolic phenotypes.

	Controls (n = 176)	All cases (n = 180)	p-valuesa	DIE (n = 100)	p-valuesa
Star alleles	Allelic frequency (95% CI)			Allelic frequency (95% CI)
*1 (default)	0.696 (0.646‒0.742)	0.694 (0.645‒0.740)	0.013	0.650 (0.582‒0.713)	0.007
*2 (rs4244285G>A)	0.111 (0.082‒0.148)	0.172 (0.137‒0.215)		0.205 (0.155‒0.266)
*17 (rs12248560C>T)	0.193 (0.155‒0.238)	0.133 (0.102‒0.172)		0.145 (0.103‒0.200)
Phenotypes (Diplotypes)	Phenotype frequency (95% CI)			Phenotype frequency (95% CI)
NM (*1/*1)	0.506 (0.431‒0.581)	0.500 (0.425‒0.575)	0.070	0.440 (0.341‒0.543)	0.040
IM (*1/*2 + *2/*17)	0.199 (0.143‒0.265)	0.256 (0.194‒0.326)		0.270 (0.186‒0.368)
PM (*2/*2)	0.011 (0.001‒0.040)	0.044 (0.019‒0.085)		0.070 (0.029‒0.139)
RM (*1/*17)	0.216 (0.155‒0.283)	0.172 (0.120‒0.235)		0.180 (0.110‒0.269)
UM (*17/*17)	0.068 (0.036‒0.116)	0.028 (0.009‒0.064)		0.040 (0.011‒0.099)

• ^a
  p-values from Pearson’s Chi-Square test. DIE, Deep Infiltrating Endometriosis; CI, Confidence Interval; NM, Normal Metabolizer; IM, Intermediate Metabolizer; PM, Poor Metabolizer; RM, Rapid Metabolizer; UM, Ultrarapid Metabolizer.

Logistic regression (Table 2) confirmed the association of the PM phenotype with a higher risk of endometriosis, either considering all cases (OR = 4.0) or DIE patients (OR = 7.1 for DIE) compared to the NM phenotype. However, the Confidence Intervals (95% CI) for all cases included the null (OR = 1), while for DIE cases the CYP2C19 pathway may be key to the susceptibility of severe disease. The CYP2C19 is a target relevant because it participates in the estrogen conversion process to estradiol [²,³], and endometriosis is an estrogen-dependent disease [¹²,¹]. No other significant associations were detected. The authors suggest that larger sample sizes are required to achieve the necessary power to fully describe the association of endometriosis risk with CYP2C19 metabolic activity.

Table 2
Regression analysis of association of CYP2C19 phenotypes with endometriosis risk.

CYP2C19 phenotypesa	OR (95% CI)b
	Overall cases	DIE
PM	4.00 (0.82‒20.00)	7.14 (1.41‒33.33)
IM	1.30 (0.76‒2.22)	1.56 (0.84‒2.86)
RM	0.81 (0.46‒1.41)	0.96 (0.49‒1.85)
UM	0.41 (0.14‒1.22)	0.68 (0.21‒2.22)

• ^a
  Assigned according to CYP2C19 diplotypes.
• ^b
  OR, Odds Ratio; CI, Confidence Interval; NM, Phenotype used as reference; bold type indicates p<0.05.DIE, Deep Infiltrating Endometriosis; NM, Normal Metabolizer; IM, Intermediate Metabolizer; PM, Poor Metabolizer; RM, Rapid Metabolizer; UM, Ultrarapid Metabolizer.

Collectively, the present results are consistent with previous reports of increased susceptibility to endometriosis, both overall cases and DIE [⁴,⁵,⁶,⁷], in carriers of the no-function rs4244285 SNP, and decreased risk in carriers of the increased function rs12248560 [⁴,⁵]. Importantly, however, the observed trend for progressive decline in endometriosis susceptibility as predicted CYP2C19 activity increases is a novel finding, which points to distinct risk-altering effects associated with carriage of rs4244285 or rs12248560 in homozygosis, heterozygosis or compound heterozygosis. This is most evident in the considerably higher OR for endometriosis in rs4244285 homozygotes (PM phenotype) compared to rs4244285 heterozygotes or rs4244285/rs12248560 compound heterozygotes (both predicting the IM phenotype) [¹⁰]. Thus, the identification of different CYP2C19 phenotypes involved in the biological process of DIE may have implications in the diagnosis, identifying risk groups and therapeutic targets, given that, of the many biomarkers proposed in peripheral blood and endometrium, not one has been validated for endometriosis. [¹³] In addition, DIE can be considered a different phenotype of the same disease, shared with endometriomas and peritoneal lesions. [¹⁴] There is the heterogeneity of estrogen receptor α and progesterone receptor distribution in lesions of DIE in untreated women, or during exposure to various hormonal treatments [¹⁵] suggesting genetic variability in the prognosis and risk of endometriosis.

Finally, the present results support the notion that CYP2C19 polymorphisms might exert their endometriosis risk-altering effects through influence on estrogen metabolism [⁴,⁵,⁶,⁷,¹⁶], such that higher levels of estrogen in rs4244285 carriers, such as IMs and especially PMs, would increase susceptibility to endometriosis. Conversely, increased CYP2C19 activity in RMs and UMs, carriers of rs12248560, would reduce estrogen levels, and thereby diminish susceptibility to endometriosis.

Acknowledgments

The authors thank all staff members of the Hospital Federal dos Servidores do Estado (HFSE) and Hospital Moncorvo Filho (HMF) for collaborating and allowing this study to happen. Financial support was provided by grants from the Brazilian agencies: Fundac ao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro (FAPERJ) and Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq).

Supplementary materials

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.clinsp.2023.100176.

References

• ¹
  Bulun SE, Yilmaz BD, Sison C, Miyazaki K, Bernardi L, Liu S, et al. Endometriosis. Endocr Rev 2019;40(4):1048–79.
• ²
  Lee AJ, Cai MX, Thomas PE, Conney AH, Zhu BT. Characterization of the oxidative metabolites of 17beta-estradiol and estrone formed by 15 selectively expressed human cytochrome p450 isoforms. Endocrinology 2003;144(8):3382–98.
• ³
  Cribb AE, Knight MJ, Dryer D, Guernsey J, Hender K, Tesch M, et al. Role of polymorphic human cytochrome P450 enzymes in estrone oxidation. Cancer Epidemiol Biomarkers Prev 2006;15(3):551–8.
• ⁴
  Cayan F, Ayaz L, Aban M, Dilek S, Gümüş LT. Role of CYP2C19 polymorphisms in patients with endometriosis. Gynecol Endocrinol 2009;25(8):530–5.
• ⁵
  Painter JN, Nyholt DR, Morris A, Zhao ZZ, Henders AK, Lambert A, et al. High-density fine-mapping of a chromosome 10q26 linkage peak suggests association between endometriosis and variants close to CYP2C19. Fertil Steril 2011;95(7):2236–40.
• ⁶
  Painter JN, Nyholt DR, Krause L, Zhao ZZ, Chapman B, Zhang C, et al. Common variants in the CYP2C19 gene are associated with susceptibility to endometriosis. Fertil Steril 2014;102(2):496–502. e5.
• ⁷
  Cardoso JV, Abrao MS, Berardo PT, Ferrari R, Nasciutti LE, Machado DE, et al. Role of cytochrome P450 2C19 polymorphisms and body mass index in endometriosis: a case-control study. Eur J Obstet Gynecol Reprod Biol 2017;219:119–23.
• ⁸
  Bozdag G, Alp A, Saribas Z, Tuncer S, Aksu T, Gurgan T. CYP17 and CYP2C19 gene polymorphisms in patients with endometriosis. Reprod Biomed Online 2010;20(2):286–90.
• ⁹
  Lima JJ, Thomas CD, Barbarino J, Desta Z, Van Driest SL, El Rouby N, et al. Clinical pharmacogenetics implementation consortium (CPIC) guideline for CYP2C19 and proton pump inhibitor dosing. Clin Pharmacol Ther 2021;109(6):1417–23.
• ¹⁰
  Botton MR, Whirl-Carrillo M, Del Tredici AL, Sangkuhl K, Cavallari LH, Agúndez JAG, et al. PharmVar GeneFocus: CYP2C19. Clin Pharmacol Ther 2021;109(2):352–66.
• ¹¹
  Suarez-Kurtz G, Genro JP, de Moraes MO, Ojopi EB, Pena SD, Perini JA, et al. Global pharmacogenomics: Impact of population diversity on the distribution of polymorphisms in the CYP2C cluster among Brazilians. Pharmacogenomics J 2012;12(3):267–76.
• ¹²
  Zondervan KT, Becker CM, Missmer SA. Endometriosis. N Engl J Med 2020;382(13):1244–56.
• ¹³
  Singh SS, Taylor H, Giudice L, Lessey B, Abrao M, Kotarski J, et al. O-GYN-MD-126 primary efficacy and safety results from two double-blind, randomized, placebo-controlled studies of elagolix, an oral gonadotropin-releasing hormone antagonist, in women with endometriosis-associated pain. J Obstet Gynaecol Can 2017;39(5):401.
• ¹⁴
  Tosti C, Pinzauti S, Santulli P, Chapron C, Petraglia F. Pathogenetic mechanisms of deep infiltrating endometriosis. Reprod Sci 2015;22(9):1053–9.
• ¹⁵
  Brichant G, Nervo P, Albert A, Munaut C, Foidart J-M, Nisolle M. Heterogeneity of estrogen receptor α and progesterone receptor distribution in lesions of deep infiltrating endometriosis of untreated women or during exposure to various hormonal treatments. Gynecol Endocrinol 2018;34(8):651–5.
• ¹⁶
  Daly AK. Polymorphic Variants of Cytochrome P450: Relevance to cancer and other diseases. Adv Pharmacol 2015;74:85–111.

Publication Dates

• Publication in this collection
  17 Apr 2023
• Date of issue
  2023

History

• Received
  21 Nov 2022
• Reviewed
  27 Jan 2023
• Accepted
  13 Feb 2023