Literature DB >> 24919751

Novel urinary biomarkers in early diabetic kidney disease.

Atsuko Kamijo-Ikemori1, Takeshi Sugaya, Kenjiro Kimura.   

Abstract

In diabetic kidney disease, detection of urinary albumin is recommended to aid in diagnosis, evaluate disease severity, and determine effects of therapy. However, because typical histopathologic changes in diabetic kidney disease or early progressive renal decline may occur in patients with normoalbuminuria, urinary albumin may not be sufficient to identify patients with early-stage diabetic kidney disease or to predict its progression. Therefore, intensive efforts have been made to identify novel noninvasive urinary biomarkers to discriminate patients with a higher risk of end-stage renal failure. Because diabetic kidney disease progression is associated with the extent of histologic changes in the glomeruli and the degree of tubulointerstitial changes, urinary biomarkers that accurately reflect the degree of histopathologic damage may be excellent biomarkers. This review article summarizes the clinical significance of new urinary biomarkers in the early detection of diabetic kidney disease.

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Year:  2014        PMID: 24919751     DOI: 10.1007/s11892-014-0513-1

Source DB:  PubMed          Journal:  Curr Diab Rep        ISSN: 1534-4827            Impact factor:   4.810


  74 in total

1.  Normoalbuminuria ensures no reduction of renal function in type 1 (insulin-dependent) diabetic patients.

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Journal:  J Intern Med       Date:  1992-08       Impact factor: 8.989

2.  Five-year prospective study of glomerular filtration rate and albumin excretion rate in normofiltering and hyperfiltering normoalbuminuric NIDDM patients.

Authors:  S P Silveiro; R Friedman; M J de Azevedo; L H Canani; J L Gross
Journal:  Diabetes Care       Date:  1996-02       Impact factor: 19.112

3.  Urinary excretion of podocytes in patients with diabetic nephropathy.

Authors:  T Nakamura; C Ushiyama; S Suzuki; M Hara; N Shimada; I Ebihara; H Koide
Journal:  Nephrol Dial Transplant       Date:  2000-09       Impact factor: 5.992

4.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

5.  Temporal expression profile and distribution pattern indicate a role of connective tissue growth factor (CTGF/CCN-2) in diabetic nephropathy in mice.

Authors:  Peggy Roestenberg; Frans A van Nieuwenhoven; Jaap A Joles; Claudia Trischberger; Paula P Martens; Noelynn Oliver; Jan Aten; Jo W Höppener; Roel Goldschmeding
Journal:  Am J Physiol Renal Physiol       Date:  2005-12-27

6.  Urinary monocyte chemoattractant protein-1 (MCP-1) and connective tissue growth factor (CCN2) as prognostic markers for progression of diabetic nephropathy.

Authors:  Frederick W K Tam; Bruce L Riser; Karim Meeran; JoAnn Rambow; Charles D Pusey; Andrew H Frankel
Journal:  Cytokine       Date:  2009-05-05       Impact factor: 3.861

7.  Lowering blood pressure reduces renal events in type 2 diabetes.

Authors:  Bastiaan E de Galan; Vlado Perkovic; Toshiharu Ninomiya; Avinesh Pillai; Anushka Patel; Alan Cass; Bruce Neal; Neil Poulter; Stephen Harrap; Carl-Erik Mogensen; Mark Cooper; Michel Marre; Bryan Williams; Pavel Hamet; Giuseppe Mancia; Mark Woodward; Paul Glasziou; Diederick E Grobbee; Stephen MacMahon; John Chalmers
Journal:  J Am Soc Nephrol       Date:  2009-02-18       Impact factor: 10.121

8.  Level of urinary liver-type fatty acid-binding protein is associated with cardiac markers and electrocardiographic abnormalities in type-2 diabetes with chronic kidney disease stage G1 and G2.

Authors:  Yoshiteru Maeda; Atsushi Suzuki; Junnichi Ishii; Sahoko Sekiguchi-Ueda; Megumi Shibata; Yasumasa Yoshino; Shogo Asano; Nobuki Hayakawa; Kazuhiro Nakamura; Yasukazu Akiyama; Fumihiko Kitagawa; Toshiaki Sakuishi; Takashi Fujita; Shuji Hashimoto; Yukio Ozaki; Mitsuyasu Itoh
Journal:  Heart Vessels       Date:  2014-03-14       Impact factor: 2.037

9.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

10.  Early progressive renal decline precedes the onset of microalbuminuria and its progression to macroalbuminuria.

Authors:  Andrzej S Krolewski; Monika A Niewczas; Jan Skupien; Tomhito Gohda; Adam Smiles; Jon H Eckfeldt; Alessandro Doria; James H Warram
Journal:  Diabetes Care       Date:  2013-08-12       Impact factor: 19.112

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  14 in total

1.  Clinical significance of urinary liver-type fatty acid-binding protein as a predictor of ESRD and CVD in patients with CKD.

Authors:  Katsuomi Matsui; Atsuko Kamijo-Ikemori; Naohiko Imai; Takeshi Sugaya; Takashi Yasuda; Shinobu Tatsunami; Tadashi Toyama; Miho Shimizu; Kengo Furuichi; Takashi Wada; Yugo Shibagaki; Kenjiro Kimura
Journal:  Clin Exp Nephrol       Date:  2015-07-19       Impact factor: 2.801

2.  Urine clusterin/apolipoprotein J is linked to tubular damage and renal outcomes in patients with type 2 diabetes mellitus.

Authors:  Sang Soo Kim; Sang Heon Song; Jong Ho Kim; Yun Kyung Jeon; Bo Hyun Kim; Min-Cheol Kang; Sung Wan Chun; Soo Hyun Hong; Michelle Chung; Yong Ki Kim; In Joo Kim; Young-Bum Kim
Journal:  Clin Endocrinol (Oxf)       Date:  2017-05-22       Impact factor: 3.478

3.  Distinct roles of urinary liver-type fatty acid-binding protein in non-diabetic patients with anemia.

Authors:  Naohiko Imai; Takashi Yasuda; Atsuko Kamijo-Ikemori; Yugo Shibagaki; Kenjiro Kimura
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

4.  Urinary liver-type fatty acid binding protein and chronic kidney disease.

Authors:  A Kamijo-Ikemori; K Kimura
Journal:  Indian J Nephrol       Date:  2015 Sep-Oct

Review 5.  Current Challenges in Diabetic Nephropathy: Early Diagnosis and Ways to Improve Outcomes.

Authors:  Sang Soo Kim; Jong Ho Kim; In Joo Kim
Journal:  Endocrinol Metab (Seoul)       Date:  2016-05-27

6.  Incidence, Development, and Prognosis of Diabetic Kidney Disease in China: Design and Methods.

Authors:  Yao-Zheng Yang; Jin-Wei Wang; Fang Wang; Yun-Tao Wu; Hai-Yan Zhao; Min Chen; Lu-Xia Zhang; Shou-Ling Wu; Ming-Hui Zha
Journal:  Chin Med J (Engl)       Date:  2017-01-20       Impact factor: 2.628

7.  Addition of nonalbumin proteinuria to albuminuria improves prediction of type 2 diabetic nephropathy progression.

Authors:  Jong Ho Kim; Seo Young Oh; Eun Heui Kim; Min Jin Lee; Yun Kyung Jeon; Bo Hyun Kim; Jin Mi Kim; Yong Ki Kim; Sang Soo Kim; In Joo Kim
Journal:  Diabetol Metab Syndr       Date:  2017-09-06       Impact factor: 3.320

8.  Evaluation of neutrophil gelatinase-associated lipocalin and cystatin C as early markers of diabetic nephropathy.

Authors:  Zeba Siddiqi; Ritu Karoli; Anupama Kaul; Jalees Fatima; Shishir Varshney; Mohd Sameer Beg
Journal:  Ann Afr Med       Date:  2017 Jul-Sep

9.  Differential Urinary Proteome Analysis for Predicting Prognosis in Type 2 Diabetes Patients with and without Renal Dysfunction.

Authors:  Hee-Sung Ahn; Jong Ho Kim; Hwangkyo Jeong; Jiyoung Yu; Jeonghun Yeom; Sang Heon Song; Sang Soo Kim; In Joo Kim; Kyunggon Kim
Journal:  Int J Mol Sci       Date:  2020-06-14       Impact factor: 5.923

10.  Urinary Cyclophilin A as a New Marker for Diabetic Nephropathy: A Cross-Sectional Analysis of Diabetes Mellitus.

Authors:  Shang-Feng Tsai; Chien-Wei Su; Ming-Ju Wu; Cheng-Hsu Chen; Chia-Po Fu; Chin-San Liu; Mingli Hsieh
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

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