Genomic approaches in the search for molecular biomarkers in chronic kidney disease.
Genomic approaches in the search for molecular biomarkers in chronic kidney disease.
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DOI：
10.1186/s12967-018-1664-7
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发表时间：
2018-10-25
影响因子：
7.4
通讯作者：
McKnight AJ
中科院分区：
文献类型：
--
作者：
Cañadas-Garre M;Anderson K;McGoldrick J;Maxwell AP;McKnight AJ
慢性肾脏病（CKD）被认为是一个全球性的公共卫生问题，在老年人中更为普遍，并与多种合并症相关。糖尿病和高血压是CKD的常见病因，但伊加肾小球肾炎、膜性肾小球肾炎、狼疮性肾炎和常染色体显性多囊肾病也是CKD的常见病因。CKD的常规生物标志物涉及使用从四个变量（血清肌酐、年龄、性别和种族）得出的估计肾小球滤过率（eGFR），这是临床指南推荐的CKD评价、分类和分层方法。然而，这些临床生物标志物存在一些局限性，特别是对于CKD的早期阶段、老年个体、极端体重指数值（血清肌酐），或受炎症、类固醇治疗和甲状腺功能障碍（血清胱抑素C）的影响。因此，有必要确定在临床实践中有用的其他非侵入性生物标志物，以帮助改善CKD诊断，告知预后并指导治疗管理。CKD是一种多因素疾病，具有相关的遗传和环境风险因素。因此，许多研究采用遗传学、表观遗传学和转录组学方法来鉴定肾脏疾病的生物标志物。在这篇综述中，我们总结了过去十年中人类研究CKD基因组生物标志物的最重要研究。包括UMOD、SHROOM 3和ELMO 1在内的几个基因与肾脏疾病及其一些特征（如eGFR和血清肌酐）密切相关。表观遗传学和转录组学生物标志物在CKD和相关疾病中的作用仍不清楚。将多种生物标志物组合到分类器中，包括基因组和/或表观基因组，可以给出肾脏疾病的更完整的图片。
Chronic kidney disease (CKD) is recognised as a global public health problem, more prevalent in older persons and associated with multiple co-morbidities. Diabetes mellitus and hypertension are common aetiologies for CKD, but IgA glomerulonephritis, membranous glomerulonephritis, lupus nephritis and autosomal dominant polycystic kidney disease are also common causes of CKD. Conventional biomarkers for CKD involving the use of estimated glomerular filtration rate (eGFR) derived from four variables (serum creatinine, age, gender and ethnicity) are recommended by clinical guidelines for the evaluation, classification, and stratification of CKD. However, these clinical biomarkers present some limitations, especially for early stages of CKD, elderly individuals, extreme body mass index values (serum creatinine), or are influenced by inflammation, steroid treatment and thyroid dysfunction (serum cystatin C). There is therefore a need to identify additional non-invasive biomarkers that are useful in clinical practice to help improve CKD diagnosis, inform prognosis and guide therapeutic management. CKD is a multifactorial disease with associated genetic and environmental risk factors. Hence, many studies have employed genetic, epigenetic and transcriptomic approaches to identify biomarkers for kidney disease. In this review, we have summarised the most important studies in humans investigating genomic biomarkers for CKD in the last decade. Several genes, including UMOD, SHROOM3 and ELMO1 have been strongly associated with renal diseases, and some of their traits, such as eGFR and serum creatinine. The role of epigenetic and transcriptomic biomarkers in CKD and related diseases is still unclear. The combination of multiple biomarkers into classifiers, including genomic, and/or epigenomic, may give a more complete picture of kidney diseases.
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狼疮性肾炎和糖尿病肾病中新型尿液 MicroRNA 生物标志物的鉴定、确认和复制。
影响因子：
9.3
作者：
Cardenas-Gonzalez M;Srivastava A;Pavkovic M;Bijol V;Rennke HG;Stillman IE;Zhang X;Parikh S;Rovin BH;Afkarian M;de Boer IH;Himmelfarb J;Waikar SS;Vaidya VS
通讯作者：
Vaidya VS
影响因子：
4.4
作者：
Bibikova, Marina;Barnes, Bret;Shen, Richard
通讯作者：
Shen, Richard
影响因子：
3.7
作者：
Barutta F;Tricarico M;Corbelli A;Annaratone L;Pinach S;Grimaldi S;Bruno G;Cimino D;Taverna D;Deregibus MC;Rastaldi MP;Perin PC;Gruden G
通讯作者：
Gruden G
影响因子：
5.3
作者：
Bostrom MA;Lu L;Chou J;Hicks PJ;Xu J;Langefeld CD;Bowden DW;Freedman BI
通讯作者：
Freedman BI
DOI：
10.1111/dme.12211
发表时间：
2013-10
期刊：
Diabetic medicine : a journal of the British Diabetic Association
影响因子：
--
作者：
Deshmukh HA;Palmer CN;Morris AD;Colhoun HM
通讯作者：
Colhoun HM