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使用易于获取的炎症标志物预测糖尿病肾病

Use of Readily Accessible Inflammatory Markers to Predict Diabetic Kidney Disease.

作者信息

Winter Lauren, Wong Lydia A, Jerums George, Seah Jas-Mine, Clarke Michele, Tan Sih Min, Coughlan Melinda T, MacIsaac Richard J, Ekinci Elif I

机构信息

Endocrine Centre of Excellence, Austin Health, Melbourne, VIC, Australia.

Department of Medicine, Austin Health, University of Melbourne, Melbourne, VIC, Australia.

出版信息

Front Endocrinol (Lausanne). 2018 May 22;9:225. doi: 10.3389/fendo.2018.00225. eCollection 2018.


DOI:10.3389/fendo.2018.00225
PMID:29910771
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5992400/
Abstract

Diabetic kidney disease is a common complication of type 1 and type 2 diabetes and is the primary cause of end-stage renal disease in developed countries. Early detection of diabetic kidney disease will facilitate early intervention aimed at reducing the rate of progression to end-stage renal disease. Diabetic kidney disease has been traditionally classified based on the presence of albuminuria. More recently estimated glomerular filtration rate has also been incorporated into the staging of diabetic kidney disease. While albuminuric diabetic kidney disease is well described, the phenotype of non-albuminuric diabetic kidney disease is now widely accepted. An association between markers of inflammation and diabetic kidney disease has previously been demonstrated. Effector molecules of the innate immune system including C-reactive protein, interleukin-6, and tumor necrosis factor-α are increased in patients with diabetic kidney disease. Furthermore, renal infiltration of neutrophils, macrophages, and lymphocytes are observed in renal biopsies of patients with diabetic kidney disease. Similarly high serum neutrophil and low serum lymphocyte counts have been shown to be associated with diabetic kidney disease. The neutrophil-lymphocyte ratio is considered a robust measure of systemic inflammation and is associated with the presence of inflammatory conditions including the metabolic syndrome and insulin resistance. Cross-sectional studies have demonstrated a link between high levels of the above inflammatory biomarkers and diabetic kidney disease. Further longitudinal studies will be required to determine if these readily available inflammatory biomarkers can accurately predict the presence and prognosis of diabetic kidney disease, above and beyond albuminuria, and estimated glomerular filtration rate.

摘要

糖尿病肾病是1型和2型糖尿病的常见并发症,也是发达国家终末期肾病的主要原因。早期发现糖尿病肾病将有助于早期干预,以降低进展至终末期肾病的速率。传统上,糖尿病肾病是根据蛋白尿的存在进行分类的。最近,估计肾小球滤过率也被纳入糖尿病肾病的分期。虽然蛋白尿性糖尿病肾病已有充分描述,但非蛋白尿性糖尿病肾病的表型现在已被广泛接受。先前已证明炎症标志物与糖尿病肾病之间存在关联。糖尿病肾病患者体内先天性免疫系统的效应分子,包括C反应蛋白、白细胞介素-6和肿瘤坏死因子-α水平升高。此外,在糖尿病肾病患者的肾活检中观察到中性粒细胞、巨噬细胞和淋巴细胞在肾脏浸润。同样,高血清中性粒细胞计数和低血清淋巴细胞计数也已被证明与糖尿病肾病有关。中性粒细胞与淋巴细胞比值被认为是全身炎症的有力指标,与包括代谢综合征和胰岛素抵抗在内的炎症性疾病的存在有关。横断面研究表明,上述炎症生物标志物水平升高与糖尿病肾病之间存在联系。还需要进一步的纵向研究来确定这些易于获得的炎症生物标志物能否在蛋白尿和估计肾小球滤过率之外,准确预测糖尿病肾病的存在和预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/6ed4ab524d1f/fendo-09-00225-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/2f715ed7fd66/fendo-09-00225-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/9f6bcdf8343d/fendo-09-00225-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/f96cbe23299c/fendo-09-00225-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/696b7ad2dca2/fendo-09-00225-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/c24f1a753ede/fendo-09-00225-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/8b3fbef31645/fendo-09-00225-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/6ed4ab524d1f/fendo-09-00225-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/2f715ed7fd66/fendo-09-00225-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/9f6bcdf8343d/fendo-09-00225-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/f96cbe23299c/fendo-09-00225-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/696b7ad2dca2/fendo-09-00225-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/c24f1a753ede/fendo-09-00225-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/8b3fbef31645/fendo-09-00225-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c20b/5992400/6ed4ab524d1f/fendo-09-00225-g007.jpg

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[5]
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[6]
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本文引用的文献

[1]
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