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] |
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URL: | https://www.wjgnet.com/1948-9358/full/v7/i14/290.htm |
Number | Citing Articles |
1 |
Carey Sheu, Eustache Paramithiotis. Towards a personalized assessment of pancreatic function in diabetes. Expert Review of Precision Medicine and Drug Development 2017; 2(5): 275 doi: 10.1080/23808993.2017.1385391
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2 |
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 analysis. PLOS ONE 2022; 17(8): e0271740 doi: 10.1371/journal.pone.0271740
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3 |
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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4 |
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 disease. International Urology and Nephrology 2022; 55(4): 1001 doi: 10.1007/s11255-022-03326-x
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5 |
Stephan Christian Werth, Jürgen Steinhoff. Diabetische Nephropathie up to date. Info Diabetologie 2016; 10(6): 32 doi: 10.1007/s15034-016-0788-1
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6 |
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 rate. World Journal of Methodology 2017; 7(3): 73-92 doi: 10.5662/wjm.v7.i3.73
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7 |
Frank C. Brosius, Wenjun Ju. The Promise of Systems Biology for Diabetic Kidney Disease. Advances in Chronic Kidney Disease 2018; 25(2): 202 doi: 10.1053/j.ackd.2017.10.012
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8 |
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 progression. International Urology and Nephrology 2022; 55(4): 913 doi: 10.1007/s11255-022-03354-7
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9 |
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 Disease. Scientific Reports 2019; 9(1) doi: 10.1038/s41598-019-47504-x
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10 |
Marijana Vučić Lovrenčić, Vanja Radišić Biljak, Kristina Blaslov, Sandra Božičević, Lea Smirčić Duvnjak. Impact of creatinine methodology on glomerular filtration rate estimation in diabetes. World Journal of Diabetes 2017; 8(5): 222-229 doi: 10.4239/wjd.v8.i5.222
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11 |
Jin Wen, Mengru Zeng, Yiya Yang, Yumei Liang, Ping Fu, Zheng Dong. Exosomes in Diabetic Kidney Disease. Kidney Diseases 2023; 9(3): 131 doi: 10.1159/000529709
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12 |
Moarij Qaz, Hanny Sawaf, Jeeda Ismail, Huma Qazi, Tushar Vachharajani. Pathophysiology of Diabetic Kidney Disease. EMJ Nephrology 2022; : 102 doi: 10.33590/emjnephrol/22-00060
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13 |
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 disease. World Journal of Clinical Cases 2019; 7(23): 3945-3956 doi: 10.12998/wjcc.v7.i23.3945
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14 |
Praveen Prashant. Neutrophil Gelatinase-Associated Lipocalin (NGAL) as a potential early biomarker for diabetic nephropathy: a meta-analysis. International Journal of Biochemistry and Molecular Biology 2024; 15(1): 1 doi: 10.62347/FVBS3902
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15 |
Ndubuisi V Nwanonenyi, Chuba k Ijoma, Ejike Arodiwe, Maris-Stella I Nwanonenyi, Chidinma Nebo. Diagnostic Performance of Cystatin C in the Early Detection of Diabetic Kidney Disease at the University of Nigeria Teaching Hospital, Ituku-Ozalla. Cureus 2024; doi: 10.7759/cureus.72230
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16 |
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 study. Therapeutic Advances in Endocrinology and Metabolism 2021; 12 doi: 10.1177/20420188211049615
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17 |
Marta Clos-Sansalvador, Omar Taco, Paula Rodríguez-Martínez, Sergio G. Garcia, Miriam Font-Morón, Jordi Bover, Anna Vila-Santandreu, Marcella Franquesa, Javier Juega, Francesc E. Borràs. Towards clinical translation of urinary vitronectin for non-invasive detection and monitoring of renal fibrosis in kidney transplant patients. Journal of Translational Medicine 2024; 22(1) doi: 10.1186/s12967-024-05777-5
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18 |
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 trial. Trials 2018; 19(1) doi: 10.1186/s13063-018-2573-z
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19 |
Ali Es-haghi, Tuqa Al-Abyadh, Hassan Mehrad-Majd. The Clinical Value of Serum Adropin Level in Early Detection of Diabetic Nephropathy. Kidney and Blood Pressure Research 2021; 46(6): 734 doi: 10.1159/000519173
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20 |
Stephan Christian Werth, Jürgen Steinhoff. Diabetische Nephropathie up to date. CME 2017; 14(4): 49 doi: 10.1007/s11298-017-5977-2
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21 |
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 complications. Reviews in Endocrine and Metabolic Disorders 2022; 23(3): 309 doi: 10.1007/s11154-021-09664-y
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22 |
Sara Mahdavi, Paolo Palatini, Ahmed El-Sohemy. CYP1A2 Genetic Variation, Coffee Intake, and Kidney Dysfunction. JAMA Network Open 2023; 6(1): e2247868 doi: 10.1001/jamanetworkopen.2022.47868
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23 |
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 detection. Journal of Diabetes Investigation 2022; 13(10): 1695 doi: 10.1111/jdi.13862
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24 |
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 algorithms. Medicine 2023; 102(43): e35618 doi: 10.1097/MD.0000000000035618
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25 |
John Awungnjia Asong, Peter Tshepiso Ndhlovu, Ahmed Olatunde, Adeyemi Oladapo Aremu. Uses of African Plants and Associated Indigenous Knowledge for the Management of Diabetes Mellitus. Diabetology 2024; 5(5): 476 doi: 10.3390/diabetology5050035
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26 |
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 review. International Journal of Diabetes in Developing Countries 2024; 44(4): 644 doi: 10.1007/s13410-023-01280-7
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27 |
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 diabetes. Nanomedicine: Nanotechnology, Biology and Medicine 2022; 39: 102468 doi: 10.1016/j.nano.2021.102468
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28 |
M. R. 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 9. Asian Journal of Pharmaceutical Research and Health Care 2022; 14(4): 243 doi: 10.4103/ajprhc.ajprhc_101_22
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29 |
Elfiani Elfiani, Huntari Harahap. Urinary Tract Infection and Nephropathy - Insights into Potential Relationship. 2022; doi: 10.5772/intechopen.98192
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30 |
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 disease. Diabetes Research and Clinical Practice 2022; 186: 109834 doi: 10.1016/j.diabres.2022.109834
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31 |
Narisa Futrakul, Prasit Futrakul. Biomarker for early renal microvascular and diabetic kidney diseases. Renal Failure 2017; 39(1): 505 doi: 10.1080/0886022X.2017.1323647
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32 |
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 study. Frontiers in Endocrinology 2022; 13 doi: 10.3389/fendo.2022.1064665
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33 |
Michiel F. Schreuder. Life with one kidney. Pediatric Nephrology 2018; 33(4): 595 doi: 10.1007/s00467-017-3686-4
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34 |
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‐analysis. Diabetes/Metabolism Research and Reviews 2019; 35(8) doi: 10.1002/dmrr.3195
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35 |
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 Nephropathy. Journal of Diabetes Research 2019; 2019: 1 doi: 10.1155/2019/4943191
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36 |
V V Klimontov, A I Korbut. Normoalbuminuric chronic kidney disease in diabetes. Terapevticheskii arkhiv 2018; 90(10): 94 doi: 10.26442/terarkh201890104-98
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37 |
Recent advances in nephropathy biomarker detections using paper-based analytical devices. Analytical Sciences 2022; 38(1): 39 doi: 10.2116/analsci.21SAR10
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38 |
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 II. Diabetes Care 2017; 40(11): 1548 doi: 10.2337/dc17-0911
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39 |
Sandra Božičević, Marijana Vučić Lovrenčić, Lea Smirčić Duvnjak. Diagnostic challenges of diabetic kidney disease. Biochemia medica 2023; 33(3): 227 doi: 10.11613/BM.2023.030501
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40 |
Emmanuel Kwaku Ofori. Recent Advances in Therapeutic Drug Monitoring and Clinical Toxicology. 2022; : 347 doi: 10.1007/978-3-031-12398-6_20
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41 |
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 Unit. SAGE Open Nursing 2022; 8 doi: 10.1177/23779608221145122
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42 |
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 Disease. Biomedicines 2023; 11(6): 1527 doi: 10.3390/biomedicines11061527
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43 |
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 II. Journal of Diabetes and its Complications 2019; 33(12): 107406 doi: 10.1016/j.jdiacomp.2019.07.003
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44 |
Subhayu Ghosh, Riyan Acharya, Nanda Dulal Jana. Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering 2025; 1243: 125 doi: 10.1007/978-981-97-6465-5_11
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45 |
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 studies. Renal Failure 2019; 41(1): 446 doi: 10.1080/0886022X.2019.1617736
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46 |
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-analysis. Ultrasound 2021; 29(3): 141 doi: 10.1177/1742271X20977051
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47 |
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 disease. Scientific Reports 2020; 10(1) doi: 10.1038/s41598-020-58067-7
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48 |
Liang-Jun Yan. NADH/NAD+ Redox Imbalance and Diabetic Kidney Disease. Biomolecules 2021; 11(5): 730 doi: 10.3390/biom11050730
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49 |
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 Nephropathy. Frontiers in Endocrinology 2022; 13 doi: 10.3389/fendo.2022.882700
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50 |
Vadim V. Klimontov, Anton I. Korbut. Albuminuric and non-albuminuric patterns of chronic kidney disease in type 2 diabetes. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2019; 13(1): 474 doi: 10.1016/j.dsx.2018.11.014
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