Literature DB >> 18506269

[Early detection of diabetic nephropathy].

Marcia Murussi1, Nádia Murussi, Nicole Campagnolo, Sandra Pinho Silveiro.   

Abstract

Due to the unfavorable prognosis of advanced stages of diabetic nephropathy (DN), the ideal approach is to identify renal involvement as early as possible. It is recommended to measure urinary albumin excretion (UAE) annually, in random urine samples, in order to detect the stages of DN [microalbuminuria (UAE 17-174 mg/l or 30-300 mg albumin/g of creatinine) and macroalbuminuria (> 174 mg/l or > 300 mg/g)]. However, it has been suggested that UAE levels below the threshold of consensus could already signal the risk for DN progression and increased mortality, indicating the need to revise cutoff values. As a substantial amount of UAE (the immunounreactive fraction), is not detected by conventional methods, HPLC would be more sensitive to identify the presence of damage by measuring total UAE (immunoreactive + immunounreactive). Another recent observation is that diminished glomerular filtration rates (GFR) occurs in the presence of normoalbuminuria. Therefore, besides evaluating UAE, it is recommended to estimate GFR with equations employing creatinine; such as the Modification of Diet in Renal Disease (MDRD) study, available at www.mdrd.com. Owing to the known limitations of creatinine, alternative endogenous markers are being studied, and cystatin-C is a promising marker under investigation. Finally, new strategies that could detect DN even earlier, include biomarkers such as proteomics, defining a profile of urinary protein excretion able to identify the subsequent risk of renal disease.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18506269     DOI: 10.1590/s0004-27302008000300004

Source DB:  PubMed          Journal:  Arq Bras Endocrinol Metabol        ISSN: 0004-2730


  7 in total

1.  Effects of aminoguanidine and vitamin C on collagen type IV in diabetic nephropathy rats.

Authors:  Qiangxiang Li; Xiang Ao; Youhong Du; Yang Li; Yangshi Ou; Raofeng Gong; Xuexiong Sun; Yi Xiang Yang; Gebo Wen
Journal:  Endocrine       Date:  2010-11-18       Impact factor: 3.633

2.  Von Willebrand Factor, ADAMTS13 and D-Dimer Are Correlated with Different Levels of Nephropathy in Type 1 Diabetes Mellitus.

Authors:  Caroline Pereira Domingueti; Luci Maria S Dusse; Rodrigo Bastos Fóscolo; Janice Sepúlveda Reis; Joyce Maria Annichino-Bizzacchi; Fernanda Loureiro de Andrade Orsi; Bruna de Moraes Mazetto; Maria das Graças Carvalho; Karina Braga Gomes; Ana Paula Fernandes
Journal:  PLoS One       Date:  2015-07-13       Impact factor: 3.240

3.  Evaluation of antidiabetic activity of Pleurotus pulmonarius against streptozotocin-nicotinamide induced diabetic wistar albino rats.

Authors:  P Balaji; R Madhanraj; K Rameshkumar; V Veeramanikandan; M Eyini; A Arun; Boobalan Thulasinathan; D A Al Farraj; M S Elshikh; A M Alokda; A H Mahmoud; J-C Tack; H-J Kim
Journal:  Saudi J Biol Sci       Date:  2020-01-31       Impact factor: 4.219

4.  Protocol of an observational study to evaluate diabetic nephropathy through detection of microalbuminuria in Indian patients.

Authors:  Manisha Sahay; Sanjay Kalra; Vijay Vishwanathan; Abdul Hamid Zargar; Pradeep G Talwalkar; Subhash Kuamr Wangnoo; Debasish Maji; G Vijay Kumar; Ramesh Kumar Sharma; Deodatta Chafekar; Brij Mohan; Ganapathi Bantwal; Anil Bansali; Jasmeet Singh Sahni
Journal:  Indian J Endocrinol Metab       Date:  2013-05

5.  'Huang Qi Elixir' for proteinuria in patients with diabetic nephropathy: a study protocol for a randomized controlled pilot trial.

Authors:  Xiang Tu; Fang Liu; James B Jordan; Xue Feng Ye; Ping Fu; Fei Wang; Sen Zhong
Journal:  Trials       Date:  2013-07-18       Impact factor: 2.279

6.  Nitric oxide system and diabetic nephropathy.

Authors:  Bruno Schmidt Dellamea; Cristiane Bauermann Leitão; Rogério Friedman; Luis Henrique Canani
Journal:  Diabetol Metab Syndr       Date:  2014-02-12       Impact factor: 3.320

7.  Relationship between plasma total homocysteine and the severity of renal function in Chinese patients with type 2 diabetes mellitus aged ≥75 years.

Authors:  Ning Ma; Ning Xu; Dong Yin; Weiwei Liu; Mengping Wu; Xingbo Cheng
Journal:  Medicine (Baltimore)       Date:  2020-07-02       Impact factor: 1.817

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.