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For: Lin CH, Chang YC, Chuang LM. Early detection of diabetic kidney disease: Present limitations and future perspectives. World J Diabetes 2016; 7(14): 290-301 [PMID: 27525056 DOI: 10.4239/wjd.v7.i14.290]
URL: https://www.wjgnet.com/1948-9358/full/v7/i14/290.htm
Number Citing Articles
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Carey Sheu, Eustache Paramithiotis. Towards a personalized assessment of pancreatic function in diabetesExpert Review of Precision Medicine and Drug Development 2017; 2(5): 275 doi: 10.1080/23808993.2017.1385391
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Lauren Fusfeld, Jessica T. Murphy, YooJin Yoon, Li Ying Kam, Kirsten E. Peters, Pearl Lin Tan, Michael Shanik, Alexander Turchin, Donovan Anthony McGrowder. Evaluation of the clinical utility of the PromarkerD in-vitro test in predicting diabetic kidney disease and rapid renal decline through a conjoint analysisPLOS ONE 2022; 17(8): e0271740 doi: 10.1371/journal.pone.0271740
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Kirsten E. Peters, Jialin Xu, Scott D. Bringans, Wendy A. Davis, Timothy M.E. Davis, Michael K. Hansen, Richard J. Lipscombe. PromarkerD Predicts Renal Function Decline in Type 2 Diabetes in the Canagliflozin Cardiovascular Assessment Study (CANVAS)Journal of Clinical Medicine 2020; 9(10): 3212 doi: 10.3390/jcm9103212
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Maolin Luo, Zeyu Zhang, Yongping Lu, Weifeng Feng, Hongwei Wu, Lijing Fan, Baozhang Guan, Yong Dai, Donge Tang, Xiangnan Dong, Chen Yun, Berthold Hocher, Haiping Liu, Qiang Li, Lianghong Yin. Urine metabolomics reveals biomarkers and the underlying pathogenesis of diabetic kidney diseaseInternational Urology and Nephrology 2022; 55(4): 1001 doi: 10.1007/s11255-022-03326-x
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Chastene Christopher Flake, Imoan Shallom Aguas, Archie Policarpio, Angelanna Ysais, Raphael Enrique Tiongco, Annalyn Navarro. Serum and urinary levels of tumor necrosis factor-alpha and interferon-gamma in diabetic nephropathy patients: a systematic reviewInternational Journal of Diabetes in Developing Countries 2023;  doi: 10.1007/s13410-023-01280-7
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Agnieszka Kamińska, Maciej Roman, Andrzej Wróbel, Agnieszka Gala-Błądzińska, Maciej T. Małecki, Czesława Paluszkiewicz, Ewa Ł. Stępień. Raman spectroscopy of urinary extracellular vesicles to stratify patients with chronic kidney disease in type 2 diabetesNanomedicine: Nanotechnology, Biology and Medicine 2022; 39: 102468 doi: 10.1016/j.nano.2021.102468
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MR Suchitra, Monica Anand, Balachandar Saravanan, S Parthasarathy. Community assessment of incidence of quantitative microalbuminuria at the time of first diagnosis of type 2 diabetes mellitus – kumbakonam urban–rural epidemiological study – kures 9Asian Journal of Pharmaceutical Research and Health Care 2022; 14(4): 243 doi: 10.4103/ajprhc.ajprhc_101_22
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Elfiani Elfiani, Huntari Harahap. Urinary Tract Infection and Nephropathy - Insights into Potential Relationship2022;  doi: 10.5772/intechopen.98192
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Stephan Christian Werth, Jürgen Steinhoff. Diabetische Nephropathie up to dateInfo Diabetologie 2016; 10(6): 32 doi: 10.1007/s15034-016-0788-1
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Chih-Hung Lin, Ying-Chuen Lai, Tien-Jyun Chang, Yi-Der Jiang, Yi-Cheng Chang, Lee-Ming Chuang. Hemoglobin glycation index predicts renal function deterioration in patients with type 2 diabetes and a low risk of chronic kidney diseaseDiabetes Research and Clinical Practice 2022; 186: 109834 doi: 10.1016/j.diabres.2022.109834
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Narisa Futrakul, Prasit Futrakul. Biomarker for early renal microvascular and diabetic kidney diseasesRenal Failure 2017; 39(1): 505 doi: 10.1080/0886022X.2017.1323647
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Ahmed Alaini, Deepak Malhotra, Helbert Rondon-Berrios, Christos P Argyropoulos, Zeid J Khitan, Dominic S C Raj, Mark Rohrscheib, Joseph I Shapiro, Antonios H Tzamaloukas. Establishing the presence or absence of chronic kidney disease: Uses and limitations of formulas estimating the glomerular filtration rateWorld Journal of Methodology 2017; 7(3): 73-92 doi: 10.5662/wjm.v7.i3.73
13
Frank C. Brosius, Wenjun Ju. The Promise of Systems Biology for Diabetic Kidney DiseaseAdvances in Chronic Kidney Disease 2018; 25(2): 202 doi: 10.1053/j.ackd.2017.10.012
14
Zhongai Gao, Yanjuan Zhu, Xiaoyue Sun, Hong Zhu, Wenhui Jiang, Mengdi Sun, Jingyu Wang, Le Liu, Hui Zheng, Yongzhang Qin, Shuang Zhang, Yanhui Yang, Jie Xu, Juhong Yang, Chunyan Shan, Baocheng Chang. Establishment and validation of the cut-off values of estimated glomerular filtration rate and urinary albumin-to-creatinine ratio for diabetic kidney disease: A multi-center, prospective cohort studyFrontiers in Endocrinology 2022; 13 doi: 10.3389/fendo.2022.1064665
15
Shilna Muttickal Swaminathan, Indu Ramachandra Rao, Srinivas Vinayak Shenoy, Attur Ravindra Prabhu, Pooja Basthi Mohan, Dharshan Rangaswamy, Mohan V Bhojaraja, Shivashankara Kaniyoor Nagri, Shankar Prasad Nagaraju. Novel biomarkers for prognosticating diabetic kidney disease progressionInternational Urology and Nephrology 2022; 55(4): 913 doi: 10.1007/s11255-022-03354-7
16
Jinnan Zang, Alexander P. Maxwell, David A. Simpson, Gareth J. McKay. Differential Expression of Urinary Exosomal MicroRNAs miR-21-5p and miR-30b-5p in Individuals with Diabetic Kidney DiseaseScientific Reports 2019; 9(1) doi: 10.1038/s41598-019-47504-x
17
Marijana Vučić Lovrenčić, Vanja Radišić Biljak, Kristina Blaslov, Sandra Božičević, Lea Smirčić Duvnjak. Impact of creatinine methodology on glomerular filtration rate estimation in diabetesWorld Journal of Diabetes 2017; 8(5): 222-229 doi: 10.4239/wjd.v8.i5.222
18
Michiel F. Schreuder. Life with one kidneyPediatric Nephrology 2018; 33(4): 595 doi: 10.1007/s00467-017-3686-4
19
Xiaoqi Ye, Ting Luo, Kanran Wang, Yue Wang, Shumin Yang, Qifu Li, Jinbo Hu. Circulating TNF receptors 1 and 2 predict progression of diabetic kidney disease: A meta‐analysisDiabetes/Metabolism Research and Reviews 2019; 35(8) doi: 10.1002/dmrr.3195
20
Jin Wen, Mengru Zeng, Yiya Yang, Yumei Liang, Ping Fu, Zheng Dong. Exosomes in Diabetic Kidney DiseaseKidney Diseases 2023; 9(3): 131 doi: 10.1159/000529709
21
Moarij Qaz, Hanny Sawaf, Jeeda Ismail, Huma Qazi, Tushar Vachharajani. Pathophysiology of Diabetic Kidney DiseaseEMJ Nephrology 2022; : 102 doi: 10.33590/emjnephrol/22-00060
22
Eman Al Shawaf, Mohamed Abu-Farha, Sriraman Devarajan, Zahra Alsairafi, Irina Al-Khairi, Preethi Cherian, Hamad Ali, Aditi Mathur, Fahd Al-Mulla, Abdulnabi Al Attar, Jehad Abubaker. ANGPTL4: A Predictive Marker for Diabetic NephropathyJournal of Diabetes Research 2019; 2019: 1 doi: 10.1155/2019/4943191
23
V V Klimontov, A I Korbut. Normoalbuminuric chronic kidney disease in diabetesTerapevticheskii arkhiv 2018; 90(10): 94 doi: 10.26442/terarkh201890104-98
24
Qiu-Yun Liu, Qi Duan, Xiao-Hong Fu, Li-Qian Fu, Hong-Wei Xia, Yong-Lin Wan. Value of elastography point quantification in improving the diagnostic accuracy of early diabetic kidney diseaseWorld Journal of Clinical Cases 2019; 7(23): 3945-3956 doi: 10.12998/wjcc.v7.i23.3945
25
Praveen Prashant. Neutrophil Gelatinase-Associated Lipocalin (NGAL) as a potential early biomarker for diabetic nephropathy: a meta-analysisInternational Journal of Biochemistry and Molecular Biology 2024; 15(1): 1 doi: 10.62347/FVBS3902
26
Recent advances in nephropathy biomarker detections using paper-based analytical devicesAnalytical Sciences 2022; 38(1): 39 doi: 10.2116/analsci.21SAR10
27
Kirsten E. Peters, Wendy A. Davis, Jun Ito, Kaye Winfield, Thomas Stoll, Scott D. Bringans, Richard J. Lipscombe, Timothy M.E. Davis. Identification of Novel Circulating Biomarkers Predicting Rapid Decline in Renal Function in Type 2 Diabetes: The Fremantle Diabetes Study Phase IIDiabetes Care 2017; 40(11): 1548 doi: 10.2337/dc17-0911
28
Sandra Božičević, Marijana Vučić Lovrenčić, Lea Smirčić Duvnjak. Diagnostic challenges of diabetic kidney diseaseBiochemia medica 2023; 33(3): 227 doi: 10.11613/BM.2023.030501
29
Ning Ma, Ning Xu, Dong Yin, Ping Zheng, Weiwei Liu, Guofeng Wang, Yuan Hui, Jiping Zhang, Guanjun Han, Chuanhui Yang, Yiting Chen, Xingbo Cheng, Ming Cheng. Circulating microRNA-194 levels in Chinese patients with diabetic kidney disease: a case–control studyTherapeutic Advances in Endocrinology and Metabolism 2021; 12: 204201882110496 doi: 10.1177/20420188211049615
30
Emmanuel Kwaku Ofori. Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology2022; : 347 doi: 10.1007/978-3-031-12398-6_20
31
Xue-min Zhao, Ying Zhang, Xin-hui He, Hong-dong Chen, Zhu-feng Wang, Jing Guo, Xin-miao Wang, Ze-zheng Gao, Ji-ping Wang, Wei Liu, Lin-hua Zhao, Xiao-lin Tong. Chinese herbal medicine Shenzhuo Formula treatment in patients with macroalbuminuria secondary to diabetic kidney disease: study protocol for a randomized controlled trialTrials 2018; 19(1) doi: 10.1186/s13063-018-2573-z
32
Ali Es-haghi, Tuqa Al-Abyadh, Hassan Mehrad-Majd. The Clinical Value of Serum Adropin Level in Early Detection of Diabetic NephropathyKidney and Blood Pressure Research 2021; 46(6): 734 doi: 10.1159/000519173
33
Stephan Christian Werth, Jürgen Steinhoff. Diabetische Nephropathie up to dateCME 2017; 14(4): 49 doi: 10.1007/s11298-017-5977-2
34
Ievgeniia Burlaka, I.O. Mityuryayeva. To the Question of Vitamin D Network in Type 1 Diabetes and Diabetic Nephropathy in Children Nursed in Ukrainian Endocrinology UnitSAGE Open Nursing 2022; 8: 237796082211451 doi: 10.1177/23779608221145122
35
Nicoleta Alexandru, Anastasia Procopciuc, Alexandra Vîlcu, Ioana Karla Comariţa, Elisabeta Bӑdilӑ, Adriana Georgescu. Extracellular vesicles—incorporated microRNA signature as biomarker and diagnosis of prediabetes state and its complicationsReviews in Endocrine and Metabolic Disorders 2022; 23(3): 309 doi: 10.1007/s11154-021-09664-y
36
Maria Mogos, Carmen Socaciu, Andreea Iulia Socaciu, Adrian Vlad, Florica Gadalean, Flaviu Bob, Oana Milas, Octavian Marius Cretu, Anca Suteanu-Simulescu, Mihaela Glavan, Silvia Ienciu, Lavinia Balint, Dragos Catalin Jianu, Ligia Petrica. Metabolomic Investigation of Blood and Urinary Amino Acids and Derivatives in Patients with Type 2 Diabetes Mellitus and Early Diabetic Kidney DiseaseBiomedicines 2023; 11(6): 1527 doi: 10.3390/biomedicines11061527
37
Sara Mahdavi, Paolo Palatini, Ahmed El-Sohemy. CYP1A2 Genetic Variation, Coffee Intake, and Kidney DysfunctionJAMA Network Open 2023; 6(1): e2247868 doi: 10.1001/jamanetworkopen.2022.47868
38
Kirsten E. Peters, Wendy A. Davis, Jun Ito, Scott D. Bringans, Richard J. Lipscombe, Timothy M.E. Davis. Validation of a protein biomarker test for predicting renal decline in type 2 diabetes: The Fremantle Diabetes Study Phase IIJournal of Diabetes and its Complications 2019; 33(12): 107406 doi: 10.1016/j.jdiacomp.2019.07.003
39
Xing-Yao Tang, Jian-Bo Zhou, Fu-Qiang Luo, Yi-Peng Han, Wei Zhao, Zong-Li Diao, Mei Li, Lu Qi, Jin-Kui Yang. Urine NGAL as an early biomarker for diabetic kidney disease: accumulated evidence from observational studiesRenal Failure 2019; 41(1): 446 doi: 10.1080/0886022X.2019.1617736
40
Heather Kilgour Venables, Yaw Amo Wiafe, Theophilus Kofi Adu-Bredu. Value of Doppler ultrasound in early detection of diabetic kidney disease: A systematic review and meta-analysisUltrasound 2021; 29(3): 141 doi: 10.1177/1742271X20977051
41
Letícia de Almeida Brondani, Ariana Aguiar Soares, Mariana Recamonde-Mendoza, Angélica Dall’Agnol, Joíza Lins Camargo, Karina Mariante Monteiro, Sandra Pinho Silveiro. Urinary peptidomics and bioinformatics for the detection of diabetic kidney diseaseScientific Reports 2020; 10(1) doi: 10.1038/s41598-020-58067-7
42
Liang-Jun Yan. NADH/NAD+ Redox Imbalance and Diabetic Kidney DiseaseBiomolecules 2021; 11(5): 730 doi: 10.3390/biom11050730
43
Hamad Ali, Mohamed Abu-Farha, Maha M. Hammad, Sriraman Devarajan, Yousif Bahbahani, Irina Al-Khairi, Preethi Cherian, Zahra Alsairafi, Vidya Vijayan, Fahd Al-Mulla, Abdulnabi Al Attar, Jehad Abubaker. Potential Role of N-Cadherin in Diagnosis and Prognosis of Diabetic NephropathyFrontiers in Endocrinology 2022; 13 doi: 10.3389/fendo.2022.882700
44
Vadim V. Klimontov, Anton I. Korbut. Albuminuric and non-albuminuric patterns of chronic kidney disease in type 2 diabetesDiabetes & Metabolic Syndrome: Clinical Research & Reviews 2019; 13(1): 474 doi: 10.1016/j.dsx.2018.11.014
45
Ying Ma, Qian Wang, Yunxia Chen, Junping Su, Qian Gao, Yuxin Fan, Jing Feng, Ming Liu, Qing He. Correlation of dehydroepiandrosterone with diabetic nephropathy and its clinical value in early detectionJournal of Diabetes Investigation 2022; 13(10): 1695 doi: 10.1111/jdi.13862
46
Qian Gao, Huawei Jin, Wenfang Xu, Yanan Wang. Predicting diagnostic gene biomarkers in patients with diabetic kidney disease based on weighted gene co expression network analysis and machine learning algorithmsMedicine 2023; 102(43): e35618 doi: 10.1097/MD.0000000000035618