Novel Biomarkers of Diabetic Kidney Disease

datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
dc.contributor.authorRico-Fontalvo, Jorge
dc.contributor.authorAroca-Martínez, Gustavo
dc.contributor.authorDaza-Arnedo, Rodrigo
dc.contributor.authorCabrales, José
dc.contributor.authorRodríguez-Yánez, Tomás
dc.contributor.authorCardona-Blanco, María
dc.contributor.authorMontejo-Hernández, Juan
dc.contributor.authorRodelo Barrios, Dairo
dc.contributor.authorPatiño-Patiño, Jhonny
dc.contributor.authorOsorio Rodríguez, Elber
dc.date.accessioned2023-03-31T19:55:19Z
dc.date.available2023-03-31T19:55:19Z
dc.date.issued2023
dc.description.abstractDiabetic kidney disease (DKD) is a highly prevalent condition worldwide. It represents one of the most common complications arising from diabetes mellitus (DM) and is the leading cause of end-stage kidney disease (ESKD). Its development involves three fundamental components: the hemodynamic, metabolic, and inflammatory axes. Clinically, persistent albuminuria in association with a progressive decline in glomerular filtration rate (GFR) defines this disease. However, as these alterations are not specific to DKD, there is a need to discuss novel biomarkers arising from its pathogenesis which may aid in the diagnosis, follow-up, therapeutic response, and prognosis of the disease.spa
dc.format.mimetypepdfspa
dc.identifier.citationRico-Fontalvo, J.; Aroca-Martínez, G.; Daza-Arnedo, R.; Cabrales, J.; Rodríguez-Yanez, T.; Cardona-Blanco, M.; Montejo- Hernández, J.; Rodelo Barrios, D.; Patiño-Patiño, J.; Osorio Rodríguez, E. Novel Biomarkers of Diabetic Kidney Disease. Biomolecules 2023, 13, 633. https://doi.org/10.3390/ biom13040633spa
dc.identifier.doihttps://doi.org/10.3390/biom13040633
dc.identifier.issn2218273X
dc.identifier.urihttps://hdl.handle.net/20.500.12442/12149
dc.identifier.urlhttps://www.mdpi.com/2218-273X/13/4/633
dc.language.isoengspa
dc.publisherMDPIspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacionaleng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceBiomoleculeseng
dc.sourceVol. 13 No. 4 Año 2023
dc.subjectBiomarkerseng
dc.subjectDiabetic kidney diseaseeng
dc.subjectPathogenesiseng
dc.subjectDiabetes mellituseng
dc.titleNovel Biomarkers of Diabetic Kidney Diseaseeng
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.spaArtículo científicospa
dcterms.referencesRico-Fontalvo, J.; Aroca, G.; Cabrales, J.; Daza-Arnedo, R.; Yánez-Rodríguez, T.; Martínez-Ávila, M.C.; Uparella-Gulfo, I.; Raad-Sarabia, M. Molecular mechanisms of diabetic kidney disease. Int. J. Mol. Sci. 2022, 23, 8668.eng
dcterms.referencesJung, C.Y.; Yoo, T.H. Pathophysiologic mechanisms and potential biomarkers in diabetic kidney disease. Diabetes Metab. J. 2022, 46, 181–197.eng
dcterms.referencesJorge, R.F.; Rodrigo, D.A.; Tomas, R.Y.; Maria Cristina, M.A.; Jose, C.; Maria Ximena, C.B.; Amilkar, A.-H.; Isabella, U.-G.; Oscar, V. Inflammation and diabetic kidney disease: New perspectives. J. Biomed. Res. Environ. Sci. 2022, 3, 779–786.eng
dcterms.referencesRico Fontalvo, J.E.; Vázquez Jiménez, L.C.; Rodríguez Yánez, T.; Daza Arnedo, R.; Raad, M.; Montejo Hernandez, J.D.; Abuabara- Franco, E. Diabetic kidney disease: Updating. Rev. Andal. Fac. Med. 2022, 55, 86–98.eng
dcterms.referencesPeña, M.J.; Mischak, H.; Heerspink, H.J.L. Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease. Diabetologia 2016, 59, 1819–1831.eng
dcterms.referencesDaza-Arnedo, R.; Rico-Fontalvo, J.E.; Pájaro-Galvis, N.; Leal-Martínez, V.; Abuabara-Franco, E.; Raad-Sarabia, M.; Montejo- Hernández, J.; Cardona-Blanco, M.; Cabrales-Juan, J.; Uparella-Gulfo, I.; et al. Dipeptidyl peptidase-4 inhibitors and diabetic kidney disease: A narrative review. Kidney Med. 2021, 3, 1065–1073.eng
dcterms.referencesKidney Disease: Improving Global Outcomes (KDIGO) DiabetesWork Group. KDIGO 2022 clinical practice guideline for diabetes management in chronic kidney disease. Kidney Int. 2022, 102 (Suppl. 5), S1–S127.eng
dcterms.referencesFontalvo, J.E.R. Clinical practice guidelines for diabetic kidney disease. Rev. Colomb. Nefrol. 2021, 8, e561.eng
dcterms.referencesLooker, H.C.; Mauer, M.; Nelson, R.G. Role of kidney biopsies for biomarker discovery in diabetic kidney disease. Adv. Chronic Kidney Dis. 2018, 25, 192–201.eng
dcterms.referencesColhoun, H.M.; Marcovecchio, M.L. Biomarkers of diabetic kidney disease. Diabetologia 2018, 61, 996–1011.eng
dcterms.referencesPereira, P.R.; Carrageta, D.F.; Oliveira, P.F.; Rodrigues, A.; Alves, M.G.; Monteiro, M.P. Metabolomics as a tool for the early diagnosis and prognosis of diabetic kidney disease. Med. Res. Rev. 2022, 42, 1518–1544.eng
dcterms.referencesNowak, N.; Skupien, J.; Niewczas, M.A.; Yamanouchi, M.; Major, M.; Croall, S.; Smiles, A.; Warram, J.; Bonventre, J.; Krolewski, A. Increased plasma kidney injury molecule-1 suggests early progressive renal decline in non-proteinuric patients with type 1 diabetes. Kidney Int. 2016, 89, 459–467.eng
dcterms.referencesHaase-Fielitz, A.; Bellomo, R.; Devarajan, P.; Story, D.; Matalanis, G.; Dragun, D.; Haase, M. Novel and conventional serum biomarkers predicting acute kidney injury in adult cardiac surgery—A prospective cohort study. Crit. Care Med. 2009, 37, 553–560.eng
dcterms.referencesKaul, A.; Behera, M.R.; Rai, M.K.; Mishra, P.; Bhaduaria, D.S.; Yadav, S.; Agarwal, V.; Karoli, R.; Prasad, N.; Gupta, A.; et al. Neutrophil Gelatinase-associated Lipocalin: As a Predictor of Early Diabetic Nephropathy in Type 2 Diabetes Mellitus. Indian J. Nephrol. 2018, 28, 53–60.eng
dcterms.referencesBarutta, F.; Bellini, S.; Canepa, S.; Durazzo, M.; Gruden, G. Novel biomarkers of diabetic kidney disease: Current status and potential clinical application. Acta Diabetol. 2021, 58, 819–830.eng
dcterms.referencesDeFronzo, R.A.; Reeves, W.B.; Awad, A.S. Pathophysiology of diabetic kidney disease: Impact of SGLT2 inhibitors. Nat. Rev. Nephrol. 2021, 17, 319–334.eng
dcterms.referencesTye, S.C.; Denig, P.; Heerspink, H.J.L. Precision medicine approaches for diabetic kidney disease: Opportunities and challenges. Nephrol. Dial. Transplant. Off. Publ. Eur. Dial. Transpl. Assoc.-Eur. Ren. Assoc. 2021, 36 (Suppl. S2), 3–9.eng
dcterms.referencesGupta, A.; Singh, K.; Fatima, S.; Ambreen, S.; Zimmermann, S.; Younis, R.; Krishnan, S.; Rana, R.; Gadi, I.; Schwab, C.; et al. Neutrophil Extracellular Traps Promote NLRP3 Inflammasome Activation and Glomerular Endothelial Dysfunction in Diabetic Kidney Disease. Nutrients 2022, 14, 2965.eng
dcterms.referencesPanduru, N.M.; Forsblom, C.; Saraheimo, M.; Thorn, L.; Bierhaus, A.; Humpert, P.M.; Groop, P.-H. Urinary liver-type fatty acid-binding protein and progression of diabetic nephropathy in type 1 diabetes. Diabetes Care 2013, 36, 2077–2083.eng
dcterms.referencesKalantarinia, K.; Awad, A.S.; Siragy, H.M. Urinary and renal interstitial concentrations of TNF-alpha increase prior to the rise in albuminuria in diabetic rats. Kidney Int. 2003, 64, 1208–1213.eng
dcterms.referencesPavkov, M.E.; Nelson, R.G.; Knowler,W.C.; Cheng, Y.; Krolewski, A.S.; Niewczas, M.A. Elevation of circulating TNF receptors 1 and 2 increases the risk of end-stage renal disease in American Indians with type 2 diabetes. Kidney Int. 2015, 87, 812–819.eng
dcterms.referencesSanchez, M.; Roussel, R.; Hadjadj, S.; Moutairou, A.; Marre, M.; Velho, G.; Mohammedi, K. Plasma concentrations of 8-hydroxy- 20-deoxyguanosine and risk of kidney disease and death in individuals with type 1 diabetes. Diabetologia 2018, 61, 977–984.eng
dcterms.referencesSamsu, N. Diabetic Nephropathy: Challenges in Pathogenesis, Diagnosis, and Treatment. BioMed Res. Int. 2021, 2021, 1497449.eng
dcterms.referencesRico Fontalvo, J.E. Diabetic kidney disease: From face to prevention, diagnosis and early intervention. Rev. Colomb. Nefrol. 2020, 7, 15–16.eng
dcterms.referencesVargas, J.M.L.; Fontalvo, J.E.R.; Rojas, E.M.; Barrios, G.A.C.; Rincón, A.R.; Gomez, A.M.; Martinez, S.; Bernal, L. Effect of pharmacological therapies for glycemic control in patients with type 2 diabetes mellitus on vascular outcomes. Rev. Colomb. Nefrol. 2020, 7, 44–59.eng
dcterms.referencesSatirapoj, B. Tubulointerstitial Biomarkers for Diabetic Nephropathy. J. Diabetes Res. 2018, 2018, 2852398.eng
dcterms.referencesSatirapoj, B.; Adler, S.G. Comprehensive approach to diabetic nephropathy. Kidney Res. Clin. Pract. 2014, 33, 121–131.eng
dcterms.referencesSatirapoj, B.; Adler, S.G. Prevalence and Management of Diabetic Nephropathy in Western Countries. Kidney Dis. 2015, 1, 61–70.eng
dcterms.referencesSatirapoj, B.; Nast, C.C.; Adler, S.G. Novel insights into the relationship between glomerular pathology and progressive kidney disease. Adv. Chronic Kidney Dis. 2012, 19, 93–100.eng
dcterms.referencesOstermann, M.; Zarbock, A.; Goldstein, S.; Kashani, K.; Macedo, E.; Murugan, R.; Bell, M.; Forni, L.; Guzzi, L.; Joannidis, M.; et al. Recommendations on Acute Kidney Injury Biomarkers from the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement. JAMA Netw. Open 2020, 3, e2019209.eng
dcterms.referencesForsblom, C.; Moran, J.; Harjutsalo, V.; Loughman, T.; Wadén, J.; Tolonen, N.; Thorn, L.; Saraheimo, M.; Gordin, D.; Groop, P.H.; et al. Added value of soluble tumor necrosis factor-x receptor 1 as a biomarker of ESRD risk in patients with type 1 diabetes. Diabetes Care 2014, 37, 2334–2342.eng
dcterms.referencesAndrésdóttir, G.; Jensen, M.L.; Carstensen, B.; Parving, H.H.; Hovind, P.; Hansen, T.W.; Rossing, P. Improved prognosis of diabetic nephropathy in type 1 diabetes. Kidney Int. 2015, 87, 417–426.eng
dcterms.referencesThipsawat, S. Early detection of diabetic nephropathy in patients with type 2 diabetes mellitus: A review of the literature. Diabetes Vasc. Dis. Res. 2021, 18, 14791641211058856.eng
dcterms.referencesTurk, V.; Stoka, V.; Vasiljeva, O.; Renko, M.; Sun, T.; Turk, B.; Turk, D. Cysteine cathepsins: From structure, function, and regulation to new frontiers. Biochim. Biophys. Acta 2012, 1824, 68–88.eng
dcterms.referencesShi, G.P.; Sukhova, G.K.; Grubb, A.; Ducharme, A.; Rhode, L.H.; Lee, R.T.; Ridker, P.M.; Libby, P.; Chapman, H.A. Cystatin C deficiency in human atherosclerosis and aortic aneurysms. J. Clin. Investig. 1999, 104, 1191–1197.eng
dcterms.referencesXu, Y.; Ding, Y.; Li, X.; Wu, X. Cystatin C is a disease-associated protein subject to multiple regulation. Immunol. Cell Biol. 2015, 93, 442–451.eng
dcterms.referencesDharnidharka, V.R.; Kwon, C.; Stevens, G. Serum cystatin C is superior to serum creatinine as a marker of kidney function: A meta-analysis. Am. J. Kidney Dis. Off. J. Natl. Kidney Found. 2002, 40, 221–226.eng
dcterms.referencesHerget-Rosenthal, S.; Marggraf, G.; Hüsing, J.; Göring, F.; Pietruck, F.; Janssen, O.; Phillip, T.; Kribben, A. Early detection of acute renal failure by serum cystatin, C. Kidney Int. 2004, 66, 1115–1122.eng
dcterms.referencesLing, W.; Zhaohui, N.; Ben, H.; Leyi, G.; Jianping, L.; Huili, D.; Jiaqi, Q. Urinary IL-18 and NGAL as early predictive biomarkers in contrast-induced nephropathy after coronary angiography. Nephron Clin. Pract. 2008, 108, c176–c181.eng
dcterms.referencesKim, S.S.; Song, S.H.; Kim, I.J.; Jeon, Y.K.; Kim, B.H.; Kwak, I.S.; Lee, E.K.; Kim, Y.K. Urinary cystatin C and tubular proteinuria predict progression of diabetic nephropathy. Diabetes Care 2013, 36, 656–661.eng
dcterms.referencesJeon, Y.L.; Kim, M.H.; Lee, W.I.; Kang, S.Y. Cystatin C as an early marker of diabetic nephropathy in patients with type 2 diabetes. Clin. Lab. 2013, 59, 1221–1229.eng
dcterms.referencesAbbasi, F.; Moosaie, F.; Khaloo, P.; Dehghani Firouzabadi, F.; Fatemi Abhari, S.M.; Atainia, B.; Ardeshir, M.; Nakhjavani, M.; Esteghamati, A. Neutrophil Gelatinase-Associated Lipocalin and Retinol-Binding Protein-4 as Biomarkers for Diabetic Kidney Disease. Kidney Blood Press. Res. 2020, 45, 222–232.eng
dcterms.referencesNauta, F.L.; Boertien,W.E.; Bakker, S.J.L.; van Goor, H.; van Oeveren,W.; de Jong, P.E.; Bilo, H.; Gansevoort, R. Glomerular and tubular damage markers are elevated in patients with diabetes. Diabetes Care 2011, 34, 975–981.eng
dcterms.referencesde Carvalho, J.A.M.; Tatsch, E.; Hausen, B.S.; Bollick, Y.S.; Peres,W.; Duarte, M.M.M.F. Urinary kidney injury molecule-1 and neutrophil gelatinase-associated lipocalin as indicators of tubular damage in normoalbuminuric patients with type 2 diabetes. Clin. Biochem. 2016, 49, 59–64.eng
dcterms.referencesHe, P.; Bai, M.; Hu, J.P.; Dong, C.; Sun, S.; Huang, C. Significance of Neutrophil Gelatinase-Associated Lipocalin as a Biomarker for the Diagnosis of Diabetic Kidney Disease: A Systematic Review and Meta-Analysis. Kidney Blood Press Res. 2020, 45, 497–509.eng
dcterms.referencesSabbisetti, V.S.; Waikar, S.S.; Antoine, D.J.; Smiles, A.; Wang, C.; Ravisankar, A.; Ito, K.; Sharma, S.; Ramadesikan, S.; Lee, M.; et al. Blood kidney injury molecule-1 is a biomarker of acute and chronic kidney injury and predicts progression to ESRD in type I diabetes. J. Am. Soc. Nephrol. 2014, 25, 2177–2186.eng
dcterms.referencesde Zeeuw, D. The future of Diabetic Kidney Disease management: Reducing the unmet need. J. Nephrol. 2020, 33, 1163–1169.eng
dcterms.referencesRico-Fontalvo, J.; Daza-Arnedo, R.; Cardona-Blanco, M.X.; Leal-Martínez, V.; Abuabara-Franco, E.; Pajaro-Galvis, N.; Cabrales, J.; Correa, J.; Cueto, M.; Duran, A.; et al. SGLT2 Inhibitors and nephroprotection in diabetic kidney disease: From mechanisms of action to the latest evidence in the literature. J. Clin. Nephrol. 2020, 4, 44–55.eng
dcterms.referencesPetrykiv, S.I.; Laverman, G.D.; de Zeeuw, D.; Heerspink, H.J.L. The albuminuria-lowering response to dapagliflozin is variable and reproducible among individual patients. Diabetes Obes. Metab. 2017, 19, 1363–1370.eng
dcterms.referencesCefalu, W.T.; Leiter, L.A.; Yoon, K.H.; Arias, P.; Niskanen, L.; Xie, J.; Balis, D.; Canovatchel,W.; Meininger, G. Efficacy and safety of canagliflozin versus glimepiride in patients with type 2 diabetes inadequately controlled with metformin (CANTATA-SU): 52-week results from a randomised, double-blind, phase 3 non-inferiority trial. Lancet 2013, 382, 941–950.eng
dcterms.referencesHeerspink, H.J.L.; Perco, P.; Mulder, S.; Leierer, J.; Hansen, M.K.; Heinzel, A.; Mayer, G. Canagliflozin reduces inflammation and fibrosis biomarkers: A potential mechanism of action for beneficial effects of SGLT2 inhibitors in diabetic kidney disease. Diabetologia 2019, 62, 1154–1166.eng
dcterms.referencesSen, T.; Li, J.; Neuen, B.L.; Neal, B.; Arnott, C.; Parikh, C.R.; Coca, S.; Perkovic, V.; Mahaffey, K.; Yavin, Y.; et al. Effects of the SGLT2 inhibitor canagliflozin on plasma biomarkers TNFR-1, TNFR-2 and KIM-1 in the CANVAS trial. Diabetologia 2021, 64, 2147–2158.eng
dcterms.referencesBletsa, E.; Filippas-Dekouan, S.; Kostara, C.; Dafopoulos, P.; Dimou, A.; Pappa, E.; Chasapi, S.; Spyroulias, G.; Koutsovasilis, A.; Bairaktari, E.; et al. Effect of Dapagliflozin on Urine Metabolome in Patients with Type 2 Diabetes. J. Clin. Endocrinol. Metab. 2021, 106, 1269–1283.eng
dcterms.referencesNavarro-González, J.F.; Mora-Fernández, C.; Muros de Fuentes, M.; Chahin, J.; Méndez, M.L.; Gallego, E.; Macia, M.; Nieves del Castillo, A.; Getino, M.; Garcia, P.; et al. Effect of pentoxifylline on renal function and urinary albumin excretion in patients with diabetic kidney disease: The PRE-DIAN trial. J. Am. Soc. Nephrol. 2015, 26, 220–229.eng
dcterms.referencesRico, J.E.; Daza Anedo, R.; Raad Sarabia, M.; Pájaro Galvis, N.; Bello Espinosa, A.; Isabella Pérez Calvo, C.; Pomares Lara, A.; Mondol Almeida, Z.; Vergara Serpa, O.; Berrocal Martinez, C.; et al. Urinary proteome in diabetic kidney disease: State of the art: Proteoma urinario en la enfermedad renal diabética. Estado Arte Rev. Colomb. Nefrol. 2021, 8, e546.eng
dcterms.referencesLindhardt, M.; Persson, F.; Zürbig, P.; Stalmach, A.; Mischak, H.; de Zeeuw, D.; Lambers Heerspink, H.; Klein, R.; Orchard, T.; Porta, M.; et al. Urinary proteomics predict onset of microalbuminuria in normoalbuminuric type 2 diabetic patients, a sub-study of the DIRECT-Protect 2 study. Nephrol. Dial. Transplant. 2017, 32, 1866–1873.eng
dcterms.referencesTofte, N.; Lindhardt, M.; Adamova, K.; Bakker, S.J.L.; Beige, J.; Beulens, J.W.J.; Birkenfeld, A.; Currie, G.; Delles, C.; Dimons, I.; et al. Early detection of diabetic kidney disease by urinary proteomics and subsequent intervention with spironolactone to delay progression (PRIORITY): A prospective observational study and embedded randomised placebo-controlled trial. Lancet Diabetes Endocrinol. 2020, 8, 301–312.eng
dcterms.referencesSiwy, J.; Klein, T.; Rosler, M.; von Eynatten, M. Urinary Proteomics as a Tool to Identify Kidney Responders to Dipeptidyl Peptidase-4 Inhibition: A Hypothesis-Generating Analysis from the MARLINA-T2D Trial. Proteom. Clin. Appl. 2019, 13, e1800144.eng
dcterms.referencesCoca, S.G.; Nadkarni, G.N.; Huang, Y.; Moledina, D.G.; Rao, V.; Zhang, J.; Ferket, B.; Crowley, S.; Fried, L.; Parik, C. Plasma Biomarkers and Kidney Function Decline in Early and Established Diabetic Kidney Disease. J. Am. Soc. Nephrol. 2017, 28, 2786–2793.eng
dcterms.referencesSchrauben, S.J.; Shou, H.; Zhang, X.; Anderson, A.H.; Bonventre, J.V.; Chen, J.; Coca, S.; Furth, S.; Greenberg, J.; Gutierrez, O.; et al. Association of multiple plasma biomarker concentrations with progression of prevalent diabetic kidney disease: Findings from the Chronic Renal Insufficiency Cohort (CRIC) Study. J. Am. Soc. Nephrol. 2021, 32, 115–126.eng
dcterms.referencesElmarakby, A.A.; Sullivan, J.C. Relationship between oxidative stress and inflammatory cytokines in diabetic nephropathy. Cardiovasc. Ther. 2012, 30, 49–59.eng
dcterms.referencesHasegawa, G.; Nakano, K.; Sawada, M.; Uno, K.; Shibayama, Y.; Ienaga, K.; Kondo, M. Possible role of tumor necrosis factor and interleukin-1 in the development of diabetic nephropathy. Kidney Int. 1991, 40, 1007–1012.eng
dcterms.referencesBertani, T.; Abbate, M.; Zoja, C.; Corna, D.; Perico, N.; Ghezzi, P.; Remuzzi, G. Tumor necrosis factor induces glomerular damage in the rabbit. Am. J. Pathol. 1989, 134, 419–430.eng
dcterms.referencesKrolewski, A.S.; Niewczas, M.A.; Skupien, J.; Gohda, T.; Smiles, A.; Eckfeldt, J.H.; Doria, A.; Warram, J. Early progressive renal decline precedes the onset of microalbuminuria and its progression to macroalbuminuria. Diabetes Care 2014, 37, 226–234.eng
dcterms.referencesGohda, T.; Niewczas, M.A.; Ficociello, L.H.; Walker, W.H.; Skupien, J.; Rosetti, F.; Cullere, X.; Johnson, A.; Crabtree, G.; Smiles, A.; et al. Circulating TNF receptors 1 and 2 predict stage 3 CKD in type 1 diabetes. J. Am. Soc. Nephrol. 2012, 23, 516–524.eng
dcterms.referencesLooker, H.C.; Colombo, M.; Hess, S.; Brosnan, M.J.; Farran, B.; Dalton, R.N.; Wong, M.; Turner, C.; Palmer, C.; Nogoceke, E.; et al. Biomarkers of rapid chronic kidney disease progression in type 2 diabetes. Kidney Int. 2015, 88, 888–896.eng
dcterms.referencesLopes-Virella, M.F.; Baker, N.L.; Hunt, K.J.; Cleary, P.A.; Klein, R.; Virella, G. Baseline markers of inflammation are associated with progression to macroalbuminuria in type 1 diabetic subjects. Diabetes Care 2013, 36, 2317–2323.eng
dcterms.referencesSkupien, J.; Warram, J.H.; Niewczas, M.A.; Gohda, T.; Malecki, M.; Mychaleckyj, J.C.; Galecki, A.; Krowleski, A. Synergism between circulating tumor necrosis factor receptor 2 and HbA(1c) in determining renal decline during 5-18 years of follow-up in patients with type 1 diabetes and proteinuria. Diabetes Care 2014, 37, 2601–2608.eng
dcterms.referencesGutiérrez, O.M.; Shlipak, M.G.; Katz, R.; Waikar, S.S.; Greenberg, J.H.; Schrauben, S.J.; Coca, S.; Parikh, C.; Vasan, R.; Feldman, H.; et al. Associations of plasma biomarkers of inflammation, fibrosis, and kidney tubular injury with progression of diabetic kidney disease: A cohort study. Am. J. Kidney Dis. 2022, 79, 849–857.e1.eng
dcterms.referencesWu, L.L.; Chiou, C.C.; Chang, P.Y.;Wu, J.T. Urinary 8-OHdG: A marker of oxidative stress to DNA and a risk factor for cancer, atherosclerosis and diabetics. Clin. Chim. Acta Int. J. Clin. Chem. 2004, 339, 1–9.eng
dcterms.referencesXu, G.W.; Yao, Q.H.;Weng, Q.F.; Su, B.L.; Zhang, X.; Xiong, J.H. Study of urinary 8-hydroxydeoxyguanosine as a biomarker of oxidative DNA damage in diabetic nephropathy patients. J. Pharm. Biomed. Anal. 2004, 36, 101–104.eng
dcterms.referencesSerdar, M.; Sertoglu, E.; Uyanik, M.; Tapan, S.; Akin, K.; Bilgi, C.; Kurt, I. Comparison of 8-hydroxy-20-deoxyguanosine (8-OHdG) levels using mass spectrometer and urine albumin creatinine ratio as a predictor of development of diabetic nephropathy. Free Radic. Res. 2012, 46, 1291–1295.eng
dcterms.referencesYoon, S.Y.; Kim, J.S.; Jeong, K.H.; Kim, S.K. Acute Kidney Injury: Biomarker-Guided Diagnosis and Management. Medicina 2022, 58, 340.eng
dcterms.referencesSchrezenmeier, E.V.; Barasch, J.; Budde, K.;Westhoff, T.; Schmidt-Ott, K.M. Biomarkers in acute kidney injury—Pathophysiological basis and clinical performance. Acta Physiol. 2017, 219, 554–572.eng
dcterms.referencesCoca, S.G.; Yalavarthy, R.; Concato, J.; Parikh, C.R. Biomarkers for the diagnosis and risk stratification of acute kidney injury: A systematic review. Kidney Int. 2008, 73, 1008–1016.eng
dcterms.referencesBell, M.; Larsson, A.; Venge, P.; Bellomo, R.; Mårtensson, J. Assessment of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury. Dis. Markers 2015, 2015, 158658.eng
dcterms.referencesHasson, D.; Menon, S.; Gist, K.M. Improving acute kidney injury diagnostic precision using biomarkers. Pract. Lab. Med. 2022, 30, e00272.eng
oaire.versioninfo:eu-repo/semantics/publishedVersionspa

Archivos

Bloque original
Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
PDF.pdf
Tamaño:
775.37 KB
Formato:
Adobe Portable Document Format
Descripción:
PDF
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
381 B
Formato:
Item-specific license agreed upon to submission
Descripción:

Colecciones