1
|
Suárez-Santisteban MA, Santos-Díaz G, García-Bernalt V, Pérez-Pico AM, Mingorance E, Mayordomo R, Dorado P. Association between CYP4A11 and EPHX2 genetic polymorphisms and chronic kidney disease progression in hypertensive patients. Nefrologia 2024; 44:382-395. [PMID: 38448299 DOI: 10.1016/j.nefroe.2024.01.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 08/06/2023] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND There are evidence indicating that some metabolites of arachidonic acid produced by cytochromes P450 (CYP) and epoxide hydroxylase (EPHX2), such as hydroxyeicosatetraenoic acids (HETEs), epoxyeicosatrienoic acids (EETs) or dihydroxyeicosatrienoic acids (DHETEs), play an important role in blood pressure regulation and they could contribute to the development of hypertension (HT) and kidney damage. Therefore, the main aim of the study was to evaluate whether the genetic polymorphisms of CYP2C8, CYP2C9, CYP2J2, CYP4F2, CYP4F11 and EPHX2, responsible for the formation of HETEs, EETs and DHETEs, are related to the progression of impaired renal function in a group of patients with hypertension. METHODS 151HT patients from a hospital nephrology service were included in the study. Additionally, a group of 87 normotensive subjects were involved in the study as control group. For HT patients, a general biochemistry analysis, estimated glomerular filtration rate and genotyping for different CYPs and EPHX2 variant alleles was performed. RESULTS CYP4A11 rs3890011, rs9332982 and EPHX2 rs41507953 polymorphisms, according to the dominant model, presented a high risk of impaired kidney function, with odds ratios (OR) of 2.07 (1.00-4.32; P=0.049) 3.02 (1.11-8.23; P=0.030) and 3.59 (1.37-9.41; P=0.009), respectively, and the EPHX2 rs1042032 polymorphism a greater risk according to the recessive model (OR=6.23; 95% CI=1.50-25.95; P=0.007). However, no significant differences in allele frequencies between HT patients and in normotensive subjects for any of the SNP analysed. In addition, the patients with diagnosis of dyslipidemia (n=90) presented higher frequencies of EPHX2 K55R (rs41507953) and *35A>G (rs1042032) variants than patients without dyslipidemia, 4% vs. 14% (P=0.005) and 16 vs. 27% (P=0.02), respectively. CONCLUSIONS In this study has been found higher odds of impaired renal function progression associated with rs3890011 and rs9332982 (CYP4A11) and rs41507953 and rs1042032 (EPHX2) polymorphisms, which may serve as biomarkers for improve clinical interventions aimed at avoiding or delaying, in chronic kidney disease patients, progress to end-stage kidney disease needing dialysis or kidney transplant.
Collapse
Affiliation(s)
- Miguel A Suárez-Santisteban
- Biosanitary University Research Institute (INUBE), University of Extremadura, Badajoz, Spain; Service of Nephrology, Virgen del Puerto Hospital, Plasencia, Spain
| | - Gracia Santos-Díaz
- Biosanitary University Research Institute (INUBE), University of Extremadura, Badajoz, Spain
| | | | - Ana M Pérez-Pico
- Department of Nursing, University of Extremadura, Plasencia, Spain
| | | | - Raquel Mayordomo
- Department of Anatomy, Cellular Biology and Zoology, University of Extremadura, Plasencia, Spain
| | - Pedro Dorado
- Biosanitary University Research Institute (INUBE), University of Extremadura, Badajoz, Spain; Department of Medical and Surgical Therapeutics, University of Extremadura, Badajoz, Spain.
| |
Collapse
|
2
|
Yu C, Ren X, Cui Z, Pan L, Zhao H, Sun J, Wang Y, Chang L, Cao Y, He H, Xi J, Zhang L, Shan G. A diagnostic prediction model for hypertension in Han and Yugur population from the China National Health Survey (CNHS). Chin Med J (Engl) 2023; 136:1057-1066. [PMID: 35276703 PMCID: PMC10228485 DOI: 10.1097/cm9.0000000000001989] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The prevalence of hypertension is high among Chinese adults, thus, identifying non-hypertensive individuals at high risk for intervention will help to improve the efficiency of primary prevention strategies. METHODS The cross-sectional data on 9699 participants aged 20 to 80 years were collected from the China National Health Survey in Gansu and Hebei provinces in 2016 to 2017, and they were nonrandomly split into the training set and validation set based on location. Multivariable logistic regression analysis was performed to develop the diagnostic prediction model, which was presented as a nomogram and a website with risk classification. Predictive performances of the model were evaluated using discrimination and calibration, and were further compared with a previously published model. Decision curve analysis was used to calculate the standardized net benefit for assessing the clinical usefulness of the model. RESULTS The Lasso regression analysis identified the significant predictors of hypertension in the training set, and a diagnostic model was developed using logistic regression. A nomogram with risk classification was constructed to visualize the model, and a website ( https://chris-yu.shinyapps.io/hypertension_risk_prediction/ ) was developed to calculate the exact probabilities of hypertension. The model showed good discrimination and calibration, with the C-index of 0.789 (95% confidence interval [CI]: 0.768, 0.810) through internal validation and 0.829 (95% CI: 0.816, 0.842) through external validation. Decision curve analysis demonstrated that the model was clinically useful. The model had a higher area under receiver operating characteristic curves in training and validation sets compared with a previously published diagnostic model based on Northern China population. CONCLUSION This study developed and validated a diagnostic model for hypertension prediction in Gansu Province. A nomogram and a website were developed to make the model conveniently used to facilitate the individualized prediction of hypertension in the general population of Han and Yugur.
Collapse
Affiliation(s)
- Chengdong Yu
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Xiaolan Ren
- Institute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou, Gansu 730000, China
| | - Ze Cui
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei 050000, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Hongjun Zhao
- Institute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou, Gansu 730000, China
- The State Key Lab of Respiratory Disease, The First Affiliated Hospital, The School of Public Health, Guangzhou Medical University, Guangzhou, Guangdong 510182, China
| | - Jixin Sun
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei 050000, China
| | - Ye Wang
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Lijun Chang
- Institute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou, Gansu 730000, China
| | - Yajing Cao
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei 050000, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Jin’en Xi
- Institute of Chronic and Noncommunicable Disease Control and Prevention, Gansu Provincial Centre for Disease Control and Prevention, Lanzhou, Gansu 730000, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| |
Collapse
|
3
|
Khamees M, Jarrar Y, Al-Qirim T, Mahmoud IS, Hatmal MM, Alshaer W, Lee SJ. No impact of soluble epoxide hydrolase rs4149243, rs2234914 and rs751142 genetic variants on the development of type II diabetes and its hypertensive complication among Jordanian patients. Int J Clin Pract 2021; 75:e14036. [PMID: 33512081 DOI: 10.1111/ijcp.14036] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/19/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Human soluble epoxide hydrolase plays a major role in cardiovascular homoeostasis. Genetic variants in the EPHX2 gene among different ethnic groups are associated with cardiovascular complications, such as hypertension. However, no reports regarding the association of EPHX2 genotype with hypertension among type II diabetic (T2D) patients of Middle Eastern Jordanian origin exist. OBJECTIVE The current study aimed to elucidate the association of the EPHX2 allele, genotype and haplotype with T2D, hypertension and parameters of lipid profile parameters among Jordanian T2D patients. METHODS Ninety-three genomic DNA samples of non-diabetic controls and 97 samples from T2D patients were genotyped for EPHX2 rs4149243, rs2234914 and rs751142 genetic variants. The DNA samples were amplified using polymerase chain reaction (PCR) and then sequenced using Applied Biosystems Model (ABI3730x1). The functionality of intronic EPHX2 variants was predicted using the in silico Berkely Drosophila Genome Project software. RESULTS We found no significant (P >.05) association between the EPHX2 rs4149243, rs2234914 and rs751142 allele, genotype and haplotype and the incidence of T2D and hypertension. Additionally, no association (P >.05) between these EPHX2 genetic variants with the baseline total cholesterol, low- and high-density lipoproteins and triglycerides among both non-diabetic and diabetic volunteers was found. However, we found an inter-ethnic variation (χ2 -test, P value ˂ .05) in the allele frequency of the EPHX2 rs4149243 and rs2234914 variants between Jordanians and other ethnic populations. Also, the in silico Berkely Drosophila Genome Project software predicted that the intronic EPHX2 rs4149243 could alter the splicing of intron 7. CONCLUSIONS It can be concluded from this study that EPHX2 rs4149243, rs2234914 and rs751142 genetic variants do not play a role in the development of T2D and hypertension among Jordanian T2D patients. Further genetic studies with larger sample sizes are needed to find out the association of other functional EPHX2 variants with cardiovascular diseases among T2D patients in Jordan.
Collapse
Affiliation(s)
- Maysoon Khamees
- Department of Pharmaceutical Science, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan
| | - Yazun Jarrar
- Department of Pharmaceutical Science, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan
| | - Tariq Al-Qirim
- Department of Pharmaceutical Science, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan
| | - Ismail Sami Mahmoud
- Department of Medical Laboratory Sciences, Faculty of Applied Health Sciences, The Hashemite University, Zarqa, Jordan
| | - Ma'mon M Hatmal
- Department of Medical Laboratory Sciences, Faculty of Applied Health Sciences, The Hashemite University, Zarqa, Jordan
| | - Walhan Alshaer
- Cell Therapy Centre, The University of Jordan, Amman, Jordan
| | - Su-Jun Lee
- Department of Pharmacology and Pharmacogenomics Research Center, Inje University College of Medicine, Inje University, Busan, Korea
| |
Collapse
|