The effect of genetic polymorphisms in STIM1 and ORAI1 on erythropoietin resistance in Egyptian patients with end-stage renal disease

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2024-08-28 DOI:10.1016/j.cca.2024.119948
Azza A.E. Gomaa , Amany M.A. Zeid , Ibrahim M. Nagy , Ahmed M. Zahran
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Abstract

Chronic renal failure (CRF) is an incurable disease with unique challenges. Anemia is a frequent complication affecting dialysis patients. Erythropoietin (EPO) is used to treat anemia, but a poor response may result. We investigated genetic polymorphisms of store-operated calcium channel (SOC) signaling, an important erythropoietin-activated pathway that may induce EPO resistance in patients with renal failure. A total of 108 end stage renal disease (ESRD) patients were selected for this study. Patients were divided into two groups according to their erythropoietin resistance index (ERI): 39 patients with an ERI>10 and 69 patients with an ERI<10. We selected four tagging single nucleotide polymorphisms (tSNPs) in STIM1 and five in ORAI1 in our study. A polymerase chain reaction was performed, and genotyping against EPO resistance was correlated. Patients with the AG genotype of rs1561876 in STIM1, the TC genotype of rs6486795 in ORAI1, and the TG or GG genotypes of rs12320939 in ORAI1 were associated with an increased risk of erythropoietin resistance. Overall, we reported a moderately significant relationship between genetic polymorphisms of STIM1 and EPO resistance. We also reported a highly significant relationship between genetic polymorphisms of ORAI1 and EPO resistance. The (A-A-G) haplotype of STIM1 and the (G-T-G-T-A, G-C-G-C-G, or G-T-T-C-G) haplotypes of ORAI1 were significantly associated with EPO resistance.

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STIM1和ORAI1基因多态性对埃及终末期肾病患者红细胞生成素耐受性的影响
慢性肾功能衰竭(CRF)是一种无法治愈的疾病,具有独特的挑战性。贫血是影响透析患者的常见并发症。促红细胞生成素(EPO)可用于治疗贫血,但可能效果不佳。我们研究了储存操作钙通道(SOC)信号传导的遗传多态性,这是一条重要的促红细胞生成素激活途径,可能会诱发肾衰竭患者的 EPO 抗性。本研究共选取了 108 名终末期肾病(ESRD)患者。根据患者的促红细胞生成素抵抗指数(ERI)将其分为两组:ERI>10 的患者有 39 人,ERI<10 的患者有 69 人。我们在研究中选择了 STIM1 中的四个标记单核苷酸多态性(tSNPs)和 ORAI1 中的五个标记单核苷酸多态性。我们进行了聚合酶链反应,并对 EPO 抗性进行了相关基因分型。STIM1中rs1561876的AG基因型、ORAI1中rs6486795的TC基因型以及ORAI1中rs12320939的TG或GG基因型患者的促红细胞生成素耐药风险增加。总体而言,我们发现 STIM1 基因多态性与 EPO 抗性之间存在中度显著关系。我们还报告了 ORAI1 基因多态性与 EPO 抗性之间的高度显著关系。STIM1的(A-A-G)单倍型和ORAI1的(G-T-G-T-A、G-C-G-C-G或G-T-T-C-G)单倍型与EPO耐药性显著相关。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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