The impact of lipocalin-type-prostaglandin-D-synthase as a predictor of kidney disease in patients with type 2 diabetes

脂质运载蛋白型前列腺素D合成酶作为2型糖尿病患者肾脏疾病预测指标的影响

阅读:1

Abstract

Hypertension and diabetes are clinical conditions which contribute to the development of chronic kidney disease as well as risk factors for cardiovascular events. In recent years, lipocalin-type-prostaglandin-D-synthase (beta trace protein; BTP) has increasingly been studied as an alternative to creatinine for the evaluation of renal function as well as for being a possible biomarker for cardiovascular disease. It is expected that the levels of BTP in patients with cardiovascular disease are elevated, as is the case with patients with renal dysfunction. The objective of this study is to realize a systematic review of the pertinent literature in respect to BTP as a biomarker of renal dysfunction in diabetic patients. Using the database MEDLINE, a search up to year 2014 was conducted using the follow descriptors: "lipocalin type prostaglandin d synthase" AND "diabetes"; "lipocalin type prostaglandin d synthase" and "diabetic nephropathy"; "beta trace protein" AND "diabetes"; "beta trace protein" AND "diabetic nephropathy". The criteria used for inclusion were the presence of the referring to terms in title or abstract and study conducted in humans. About 17 articles were selected, of which six articles were duplicates, and of which six articles did not investigate any possible relationship between the protein (BTP) and either diabetes or nephropathy. The final result yielded five articles to be analyzed. This review found BTP is not influenced by race, by body mass index nor by patient's sex. BTP can be considered as a reliable early biomarker of renal dysfunction in diabetics. BTP is associated with metabolic syndrome and is also associated with greater cardiovascular risk. Prospective data establishing a correlation between BTP and mortality would have been of great interest, but such articles were not found in this review.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。