{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T22:37:48Z","timestamp":1792795068109,"version":"4.5.0"},"publisher-location":"Cham","reference-count":76,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031506239","type":"print"},{"value":"9783031506246","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-50624-6_9","type":"book-chapter","created":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T01:02:16Z","timestamp":1708995736000},"page":"173-186","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Kidney Disease and Proteomics: A Recent Overview of a Useful Tool for Improving Early Diagnosis"],"prefix":"10.1007","author":[{"given":"Nicolly Emanuelle","family":"de Souza Barcelos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Laura","family":"Limeres","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ana Flavia","family":"Peixoto-Dias","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Aparecida Ribeiro","family":"Vieira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diogo B.","family":"Peruchetti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,27]]},"reference":[{"key":"9_CR1","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1038\/s41581-021-00410-w","volume":"17","author":"JA Kellum","year":"2021","unstructured":"Kellum JA, Ronco C, Bellomo R (2021) Conceptual advances and evolving terminology in acute kidney disease. Nat Rev Nephrol 17:493\u2013502","journal-title":"Nat Rev Nephrol"},{"key":"9_CR2","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1016\/S0140-6736(20)30045-3","volume":"395","author":"GBD Chronic Kidney Disease Collaboration","year":"2020","unstructured":"GBD Chronic Kidney Disease Collaboration (2020) Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 395:709\u2013733","journal-title":"Lancet"},{"key":"9_CR3","doi-asserted-by":"publisher","first-page":"1765","DOI":"10.1681\/ASN.2015010006","volume":"26","author":"MA Venkatachalam","year":"2015","unstructured":"Venkatachalam MA, Weinberg JM, Kriz W, Bidani AK (2015) Failed tubule recovery, AKI-CKD transition, and kidney disease progression. J Am Soc Nephrol 26:1765\u20131776","journal-title":"J Am Soc Nephrol"},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1056\/NEJMra1214243","volume":"371","author":"LS Chawla","year":"2014","unstructured":"Chawla LS, Eggers PW, Star RA, Kimmel PL (2014) Acute kidney injury and chronic kidney disease as interconnected syndromes. N Engl J Med 371:58\u201366","journal-title":"N Engl J Med"},{"key":"9_CR5","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1038\/nrneph.2012.197","volume":"8","author":"M Haase","year":"2012","unstructured":"Haase M, Kellum JA, Ronco C (2012) Subclinical AKI\u2013an emerging syndrome with important consequences. Nat Rev Nephrol 8:735\u2013739","journal-title":"Nat Rev Nephrol"},{"key":"9_CR6","doi-asserted-by":"publisher","first-page":"14193","DOI":"10.3390\/ijms232214193","volume":"23","author":"RP Silva-Aguiar","year":"2022","unstructured":"Silva-Aguiar RP, Teixeira DE, Peres RAS, Peruchetti DB, Gomes CP, Schmaier AH, Rocco PRM, Pinheiro AAS, Caruso-Neves C (2022) Subclinical acute kidney injury in COVID-19: possible mechanisms and future perspectives. Int J Mol Sci 23:14193","journal-title":"Int J Mol Sci"},{"key":"9_CR7","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1186\/s13054-018-2193-8","volume":"22","author":"F Fang","year":"2018","unstructured":"Fang F, Hu X, Dai X, Wang S, Bai Z, Chen J, Pan J, Li X, Wang J, Li Y (2018) Subclinical acute kidney injury is associated with adverse outcomes in critically ill neonates and children. Crit Care 22:256","journal-title":"Crit Care"},{"key":"9_CR8","doi-asserted-by":"publisher","first-page":"2715","DOI":"10.3390\/nu15122715","volume":"15","author":"D Giannese","year":"2023","unstructured":"Giannese D, D\u2019Alessandro C, Panichi V, Pellegrino N, Cupisti A (2023) Nutritional treatment as a synergic intervention to pharmacological therapy in CKD patients. Nutrients 15:2715","journal-title":"Nutrients"},{"key":"9_CR9","first-page":"245","volume":"20","author":"DC Dominguez","year":"2007","unstructured":"Dominguez DC, Lopes R, Torres ML (2007) Proteomics: clinical applications. Clin Lab Sci 20:245\u2013248","journal-title":"Clin Lab Sci"},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"2476S","DOI":"10.1093\/jn\/133.7.2476S","volume":"133","author":"EF Petricoin","year":"2003","unstructured":"Petricoin EF, Liotta LA (2003) Clinical applications of proteomics. J Nutr 133:2476S\u20132484S","journal-title":"J Nutr"},{"key":"9_CR11","doi-asserted-by":"publisher","first-page":"e727","DOI":"10.1016\/S2589-7500(22)00150-9","volume":"4","author":"JA Staessen","year":"2022","unstructured":"Staessen JA, Wendt R, Yu Y-L et al (2022) Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study. Lancet Digit Health 4:e727\u2013e737","journal-title":"Lancet Digit Health"},{"key":"9_CR12","doi-asserted-by":"publisher","first-page":"2255","DOI":"10.1007\/s00467-022-05497-2","volume":"37","author":"TD Cummins","year":"2022","unstructured":"Cummins TD, Korte EA, Bhayana S, Merchant ML, Barati MT, Smoyer WE, Klein JB (2022) Advances in proteomic profiling of pediatric kidney diseases. Pediatr Nephrol 37:2255\u20132265","journal-title":"Pediatr Nephrol"},{"key":"9_CR13","doi-asserted-by":"publisher","first-page":"791","DOI":"10.2337\/db16-0796","volume":"66","author":"RE Gilbert","year":"2017","unstructured":"Gilbert RE (2017) Proximal Tubulopathy: prime mover and key therapeutic target in diabetic kidney disease. Diabetes 66:791\u2013800","journal-title":"Diabetes"},{"key":"9_CR14","doi-asserted-by":"publisher","first-page":"2032","DOI":"10.2215\/CJN.11491116","volume":"12","author":"RZ Alicic","year":"2017","unstructured":"Alicic RZ, Rooney MT, Tuttle KR (2017) Diabetic kidney disease: challenges, Progress, and possibilities. Clin J Am Soc Nephrol 12:2032\u20132045","journal-title":"Clin J Am Soc Nephrol"},{"key":"9_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejphar.2023.175521","volume":"942","author":"RS Farias","year":"2023","unstructured":"Farias RS, Silva-Aguiar RP, Teixeira DE, Gomes CP, Pinheiro AAS, Peruchetti DB, Caruso-Neves C (2023) Inhibition of SGLT2 co-transporter by dapagliflozin ameliorates tubular proteinuria and tubule-interstitial injury at the early stage of diabetic kidney disease. Eur J Pharmacol 942:175521","journal-title":"Eur J Pharmacol"},{"key":"9_CR16","doi-asserted-by":"publisher","first-page":"11388","DOI":"10.1074\/jbc.RA117.001337","volume":"293","author":"DB de Peruchetti","year":"2018","unstructured":"de Peruchetti DB, Silva-Aguiar RP, Siqueira GM, Dias WB, Caruso-Neves C (2018) High glucose reduces megalin-mediated albumin endocytosis in renal proximal tubule cells through protein kinase B O-GlcNAcylation. J Biol Chem 293:11388\u201311400","journal-title":"J Biol Chem"},{"key":"9_CR17","doi-asserted-by":"publisher","DOI":"10.2174\/1573399817666210101105253","volume":"17","author":"S Darmayanti","year":"2021","unstructured":"Darmayanti S, Lesmana R, Meiliana A, Abdulah R (2021) Genomics, proteomics and metabolomics approaches for predicting diabetic nephropathy in type 2 diabetes mellitus patients. Curr Diabetes Rev 17:e123120189796","journal-title":"Curr Diabetes Rev"},{"key":"9_CR18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0009923","volume":"5","author":"F Folli","year":"2010","unstructured":"Folli F, Guzzi V, Perego L et al (2010) Proteomics reveals novel oxidative and glycolytic mechanisms in type 1 diabetic patients\u2019 skin which are normalized by kidney-pancreas transplantation. PLoS One 5:e9923","journal-title":"PLoS One"},{"key":"9_CR19","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1159\/000505187","volume":"45","author":"A Smith","year":"2020","unstructured":"Smith A, Iablokov V, Mazza M et al (2020) Detecting proteomic indicators to distinguish diabetic nephropathy from hypertensive Nephrosclerosis by integrating matrix-assisted laser desorption\/ionization mass spectrometry imaging with high-mass accuracy mass spectrometry. Kidney Blood Press Res 45:233\u2013248","journal-title":"Kidney Blood Press Res"},{"key":"9_CR20","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1021\/pr060489g","volume":"6","author":"H-J Kim","year":"2007","unstructured":"Kim H-J, Cho E-H, Yoo J-H, Kim P-K, Shin J-S, Kim M-R, Kim C-W (2007) Proteome analysis of serum from type 2 diabetics with nephropathy. J Proteome Res 6:735\u2013743","journal-title":"J Proteome Res"},{"key":"9_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.euprot.2016.12.001","volume":"14","author":"SD Bringans","year":"2017","unstructured":"Bringans SD, Ito J, Stoll T, Winfield K, Phillips M, Peters K, Davis WA, Davis TME, Lipscombe RJ (2017) Comprehensive mass spectrometry based biomarker discovery and validation platform as applied to diabetic kidney disease. EuPA Open Proteom 14:1\u201310","journal-title":"EuPA Open Proteom"},{"key":"9_CR22","doi-asserted-by":"publisher","first-page":"1283","DOI":"10.1681\/ASN.2007091025","volume":"19","author":"K Rossing","year":"2008","unstructured":"Rossing K, Mischak H, Dakna M et al (2008) Urinary proteomics in diabetes and CKD. J Am Soc Nephrol 19:1283\u20131290","journal-title":"J Am Soc Nephrol"},{"key":"9_CR23","doi-asserted-by":"publisher","first-page":"2065","DOI":"10.1681\/ASN.2008121233","volume":"20","author":"ML Merchant","year":"2009","unstructured":"Merchant ML, Perkins BA, Boratyn GM et al (2009) Urinary peptidome may predict renal function decline in type 1 diabetes and microalbuminuria. J Am Soc Nephrol 20:2065\u20132074","journal-title":"J Am Soc Nephrol"},{"key":"9_CR24","doi-asserted-by":"publisher","first-page":"3304","DOI":"10.2337\/db12-0348","volume":"61","author":"P Z\u00fcrbig","year":"2012","unstructured":"Z\u00fcrbig P, Jerums G, Hovind P, Macisaac RJ, Mischak H, Nielsen SE, Panagiotopoulos S, Persson F, Rossing P (2012) Urinary proteomics for early diagnosis in diabetic nephropathy. Diabetes 61:3304\u20133313","journal-title":"Diabetes"},{"key":"9_CR25","doi-asserted-by":"publisher","first-page":"1563","DOI":"10.1093\/ndt\/gfu039","volume":"29","author":"J Siwy","year":"2014","unstructured":"Siwy J, Schanstra JP, Argiles A et al (2014) Multicentre prospective validation of a urinary peptidome-based classifier for the diagnosis of type 2 diabetic nephropathy. Nephrol Dial Transplant 29:1563\u20131570","journal-title":"Nephrol Dial Transplant"},{"key":"9_CR26","first-page":"290","volume":"29","author":"E Bellei","year":"2018","unstructured":"Bellei E, Monari E, Bergamini S, Pini LA, Aldo T, Ozben T (2018) Urinary proteomics in biomarker discovery of kidney-related disorders: diabetic nephropathy and drug-induced nephrotoxicity in chronic headache. EJIFCC 29:290\u2013297","journal-title":"EJIFCC"},{"key":"9_CR27","doi-asserted-by":"publisher","first-page":"4236","DOI":"10.3390\/ijms21124236","volume":"21","author":"H-S Ahn","year":"2020","unstructured":"Ahn H-S, Kim JH, Jeong H, Yu J, Yeom J, Song SH, Kim SS, Kim IJ, Kim K (2020) Differential urinary proteome analysis for predicting prognosis in type 2 diabetes patients with and without renal dysfunction. Int J Mol Sci 21:4236","journal-title":"Int J Mol Sci"},{"key":"9_CR28","doi-asserted-by":"publisher","first-page":"4802","DOI":"10.3390\/ijms21134802","volume":"21","author":"YE Glazyrin","year":"2020","unstructured":"Glazyrin YE, Veprintsev DV, Ler IA et al (2020) Proteomics-based machine learning approach as an alternative to conventional biomarkers for differential diagnosis of chronic kidney diseases. Int J Mol Sci 21:4802","journal-title":"Int J Mol Sci"},{"key":"9_CR29","doi-asserted-by":"publisher","first-page":"40","DOI":"10.3390\/antib12020040","volume":"12","author":"D Petrou","year":"2023","unstructured":"Petrou D, Kalogeropoulos P, Liapis G, Lionaki S (2023) IgA nephropathy: current treatment and new insights. Antibodies (Basel) 12:40","journal-title":"Antibodies (Basel)"},{"key":"9_CR30","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1681\/ASN.V95853","volume":"9","author":"RJ Wyatt","year":"1998","unstructured":"Wyatt RJ, Julian BA, Baehler RW, Stafford CC, McMorrow RG, Ferguson T, Jackson E, Woodford SY, Miller PM, Kritchevsky S (1998) Epidemiology of IgA nephropathy in central and eastern Kentucky for the period 1975 through 1994. Central Kentucky Region of the Southeastern United States IgA Nephropathy DATABANK Project. J Am Soc Nephrol 9:853\u2013858","journal-title":"J Am Soc Nephrol"},{"key":"9_CR31","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1038\/ki.1995.50","volume":"47","author":"JH Galla","year":"1995","unstructured":"Galla JH (1995) IgA nephropathy. Kidney Int 47:377\u2013387","journal-title":"Kidney Int"},{"key":"9_CR32","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1111\/nep.13592","volume":"24","author":"SC Yeo","year":"2019","unstructured":"Yeo SC, Goh SM, Barratt J (2019) Is immunoglobulin A nephropathy different in different ethnic populations? Nephrology (Carlton) 24:885\u2013895","journal-title":"Nephrology (Carlton)"},{"key":"9_CR33","doi-asserted-by":"publisher","first-page":"1795","DOI":"10.1681\/ASN.2011050464","volume":"22","author":"H Suzuki","year":"2011","unstructured":"Suzuki H, Kiryluk K, Novak J et al (2011) The pathophysiology of IgA nephropathy. J Am Soc Nephrol 22:1795\u20131803","journal-title":"J Am Soc Nephrol"},{"key":"9_CR34","first-page":"gfad125","volume":"30","author":"B Peters","year":"2023","unstructured":"Peters B, Beige J, Siwy J et al (2023) Dynamics of urine proteomics biomarker and disease progression in patients with IgA nephropathy. Nephrol Dial Transplant 30:gfad125","journal-title":"Nephrol Dial Transplant"},{"key":"9_CR35","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1093\/ndt\/gfaa307","volume":"37","author":"M Rudnicki","year":"2021","unstructured":"Rudnicki M, Siwy J, Wendt R et al (2021) Urine proteomics for prediction of disease progression in patients with IgA nephropathy. Nephrol Dial Transplant 37:42\u201352","journal-title":"Nephrol Dial Transplant"},{"key":"9_CR36","doi-asserted-by":"publisher","unstructured":"Xue D, Li M, Xiang D, Sun J, Zhang W, Duan J, Cheng X, Wang C (2023) Serum proteomic analysis by Nanoflow LC-MS\/MS-based proteomics in IgA chronic kidney disease. Clin Lab. https:\/\/doi.org\/10.7754\/Clin.Lab.2022.220417","DOI":"10.7754\/Clin.Lab.2022.220417"},{"key":"9_CR37","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1186\/s12014-022-09387-5","volume":"19","author":"D Zhang","year":"2022","unstructured":"Zhang D, Li Y, Liang M, Liang Y, Tian J, He Q, Yang B, Jin J, Zhu W (2022) LC-MS\/MS based metabolomics and proteomics reveal candidate biomarkers and molecular mechanism of early IgA nephropathy. Clin Proteomics 19:51","journal-title":"Clin Proteomics"},{"key":"9_CR38","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1186\/s12882-022-02736-4","volume":"23","author":"FTI Paunas","year":"2022","unstructured":"Paunas FTI, Finne K, Leh S, Marti H-P, Berven F, Vikse BE (2022) Proteomic signature of tubulointerstitial tissue predicts prognosis in IgAN. BMC Nephrol 23:118","journal-title":"BMC Nephrol"},{"key":"9_CR39","doi-asserted-by":"publisher","first-page":"1131164","DOI":"10.3389\/fimmu.2023.1131164","volume":"14","author":"J Dong","year":"2023","unstructured":"Dong J, Zheng F, Liu F et al (2023) Global-feature of autoimmune glomerulonephritis using proteomic analysis of laser capture microdissected glomeruli. Front Immunol 14:1131164","journal-title":"Front Immunol"},{"key":"9_CR40","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1111\/nep.13989","volume":"27","author":"J Pett","year":"2022","unstructured":"Pett J, Mohamed F, Knight J, Linhart C, Osborne NJ, Taylor R (2022) Two decades of chronic kidney disease of unknown aetiology (CKDu) research: existing evidence and persistent gaps from epidemiological studies in Sri Lanka. Nephrology (Carlton) 27:238\u2013247","journal-title":"Nephrology (Carlton)"},{"key":"9_CR41","doi-asserted-by":"publisher","first-page":"2647","DOI":"10.1007\/s10653-022-01373-y","volume":"45","author":"WVD Priyadarshani","year":"2023","unstructured":"Priyadarshani WVD, de Namor AFD, Silva SRP (2023) Rising of a global silent killer: critical analysis of chronic kidney disease of uncertain aetiology (CKDu) worldwide and mitigation steps. Environ Geochem Health 45:2647\u20132662","journal-title":"Environ Geochem Health"},{"key":"9_CR42","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1038\/ki.2011.258","volume":"80","author":"NTC Athuraliya","year":"2011","unstructured":"Athuraliya NTC, Abeysekera TDJ, Amerasinghe PH, Kumarasiri R, Bandara P, Karunaratne U, Milton AH, Jones AL (2011) Uncertain etiologies of proteinuric-chronic kidney disease in rural Sri Lanka. Kidney Int 80:1212\u20131221","journal-title":"Kidney Int"},{"key":"9_CR43","doi-asserted-by":"publisher","first-page":"F387","DOI":"10.1152\/ajprenal.00285.2022","volume":"324","author":"RT Kolli","year":"2023","unstructured":"Kolli RT, Gunasekara SC, Foster MW, Adduri S, Strasma A, Wyatt C, Konduru NV, De Silva MCS, Jayasundara N (2023) The urinary proteome infers dysregulation of mitochondrial, lysosomal, and protein reabsorption processes in chronic kidney disease of unknown etiology (CKDu). Am J Physiol Renal Physiol 324:F387\u2013F403","journal-title":"Am J Physiol Renal Physiol"},{"key":"9_CR44","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1038\/s41581-019-0183-y","volume":"15","author":"LF Menezes","year":"2019","unstructured":"Menezes LF, Germino GG (2019) The pathobiology of polycystic kidney disease from a metabolic viewpoint. Nat Rev Nephrol 15:735\u2013749","journal-title":"Nat Rev Nephrol"},{"key":"9_CR45","doi-asserted-by":"publisher","first-page":"915","DOI":"10.3390\/medicina59050915","volume":"59","author":"C Pana","year":"2023","unstructured":"Pana C, Stanigut AM, Cimpineanu B, Alexandru A, Salim C, Nicoara AD, Resit P, Tuta LA (2023) Urinary biomarkers in monitoring the progression and treatment of autosomal dominant polycystic kidney disease-the promised land? Medicina (Kaunas) 59:915","journal-title":"Medicina (Kaunas)"},{"key":"9_CR46","doi-asserted-by":"publisher","first-page":"1244","DOI":"10.1038\/ki.2014.120","volume":"86","author":"EM Spithoven","year":"2014","unstructured":"Spithoven EM, Kramer A, Meijer E et al (2014) Analysis of data from the ERA-EDTA Registry indicates that conventional treatments for chronic kidney disease do not reduce the need for renal replacement therapy in autosomal dominant polycystic kidney disease. Kidney Int 86:1244\u20131252","journal-title":"Kidney Int"},{"key":"9_CR47","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1038\/ki.2015.95","volume":"88","author":"L Rodriguez-Osorio","year":"2015","unstructured":"Rodriguez-Osorio L, Vanessa Perez-Gomez M, Ortiz A (2015) Decreasing incidence of renal replacement therapy over time at the critical 50-59-year age range suggests a role for nephroprotective therapy in ADPKD. Kidney Int 88:194","journal-title":"Kidney Int"},{"key":"9_CR48","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0233213","volume":"15","author":"SEI Dekker","year":"2020","unstructured":"Dekker SEI, Verhoeven A, Soonawala D, Peters DJM, de Fijter JW, Mayboroda OA, DIPAK Consortium (2020) Urinary metabolites associate with the rate of kidney function decline in patients with autosomal dominant polycystic kidney disease. PLoS One 15:e0233213","journal-title":"PLoS One"},{"key":"9_CR49","doi-asserted-by":"publisher","first-page":"834","DOI":"10.2215\/CJN.12191018","volume":"14","author":"M Bruschi","year":"2019","unstructured":"Bruschi M, Granata S, Santucci L et al (2019) Proteomic analysis of urinary microvesicles and exosomes in medullary sponge kidney disease and autosomal dominant polycystic kidney disease. Clin J Am Soc Nephrol 14:834\u2013843","journal-title":"Clin J Am Soc Nephrol"},{"key":"9_CR50","doi-asserted-by":"publisher","DOI":"10.1002\/pmic.201700456","volume":"18","author":"S Staubach","year":"2018","unstructured":"Staubach S, Wenzel A, Beck BB, Rinschen MM, M\u00fcller S, Hanisch F-G (2018) Autosomal Tubulointerstitial kidney disease-MUC1 type: differential proteomics suggests that mutated MUC1 (insC) affects vesicular transport in renal epithelial cells. Proteomics 18:e1700456","journal-title":"Proteomics"},{"key":"9_CR51","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1038\/s41581-023-00722-z","volume":"19","author":"C Mohan","year":"2023","unstructured":"Mohan C, Zhang T, Putterman C (2023) Pathogenic cellular and molecular mediators in lupus nephritis. Nat Rev Nephrol 19:491\u2013508","journal-title":"Nat Rev Nephrol"},{"key":"9_CR52","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1002\/art.42375","volume":"75","author":"M Hocao\u01e7lu","year":"2023","unstructured":"Hocao\u01e7lu M, Valenzuela-Almada MO, Dabit JY et al (2023) Incidence, prevalence, and mortality of lupus nephritis: a population-based study over four decades using the lupus Midwest network. Arthritis Rheumatol 75:567\u2013573","journal-title":"Arthritis Rheumatol"},{"key":"9_CR53","doi-asserted-by":"publisher","first-page":"e138345","DOI":"10.1172\/jci.insight.138345","volume":"5","author":"A Fava","year":"2020","unstructured":"Fava A, Buyon J, Mohan C et al (2020) Integrated urine proteomics and renal single-cell genomics identify an IFN-\u03b3 response gradient in lupus nephritis. JCI Insight 5:e138345","journal-title":"JCI Insight"},{"key":"9_CR54","doi-asserted-by":"publisher","first-page":"1600","DOI":"10.1177\/0961203318778774","volume":"27","author":"DJ Go","year":"2018","unstructured":"Go DJ, Lee JY, Kang MJ, Lee EY, Lee EB, Yi EC, Song YW (2018) Urinary vitamin D-binding protein, a novel biomarker for lupus nephritis, predicts the development of proteinuric flare. Lupus 27:1600\u20131615","journal-title":"Lupus"},{"key":"9_CR55","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1002\/art.41507","volume":"73","author":"JM Mejia-Vilet","year":"2021","unstructured":"Mejia-Vilet JM, Shapiro JP, Zhang XL et al (2021) Association between urinary epidermal growth factor and renal prognosis in lupus nephritis. Arthritis Rheumatol 73:244\u2013254","journal-title":"Arthritis Rheumatol"},{"key":"9_CR56","doi-asserted-by":"publisher","DOI":"10.1136\/lupus-2022-000747","volume":"10","author":"A Akhgar","year":"2023","unstructured":"Akhgar A, Sinibaldi D, Zeng L et al (2023) Urinary markers differentially associate with kidney inflammatory activity and chronicity measures in patients with lupus nephritis. Lupus Sci Med 10:e000747","journal-title":"Lupus Sci Med"},{"key":"9_CR57","first-page":"309","volume":"5","author":"G Bicescu","year":"2010","unstructured":"Bicescu G (2010) Epidemiology of hypertensive kidney disease: diagnosis. Maedica (Bucur) 5:309\u2013310","journal-title":"Maedica (Bucur)"},{"key":"9_CR58","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1038\/nrneph.2010.154","volume":"7","author":"S Udani","year":"2011","unstructured":"Udani S, Lazich I, Bakris GL (2011) Epidemiology of hypertensive kidney disease. Nat Rev Nephrol 7:11\u201321","journal-title":"Nat Rev Nephrol"},{"key":"9_CR59","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1093\/ckj\/sfaa162","volume":"13","author":"S Carriazo","year":"2020","unstructured":"Carriazo S, Vanessa Perez-Gomez M, Ortiz A (2020) Hypertensive nephropathy: a major roadblock hindering the advance of precision nephrology. Clin Kidney J 13:504\u2013509","journal-title":"Clin Kidney J"},{"key":"9_CR60","doi-asserted-by":"publisher","first-page":"15936","DOI":"10.3390\/ijms232415936","volume":"23","author":"CM Lucero","year":"2022","unstructured":"Lucero CM, Prieto-Villalobos J, Marambio-Ruiz L, Balmazabal J, Alvear TF, Vega M, Barra P, Retamal MA, Orellana JA, G\u00f3mez GI (2022) Hypertensive nephropathy: unveiling the possible involvement of Hemichannels and Pannexons. Int J Mol Sci 23:15936","journal-title":"Int J Mol Sci"},{"key":"9_CR61","doi-asserted-by":"publisher","first-page":"3146","DOI":"10.3390\/cells10113146","volume":"10","author":"VV Costantino","year":"2021","unstructured":"Costantino VV, Gil Lorenzo AF, Bocanegra V, Vall\u00e9s PG (2021) Molecular mechanisms of hypertensive nephropathy: Renoprotective effect of losartan through Hsp70. Cell 10:3146","journal-title":"Cell"},{"key":"9_CR62","doi-asserted-by":"publisher","first-page":"F499","DOI":"10.1152\/ajprenal.00384.2010","volume":"300","author":"SS Landgraf","year":"2011","unstructured":"Landgraf SS, Wengert M, Silva JS, Zapata-Sudo G, Sudo RT, Takiya CM, Pinheiro AAS, Caruso-Neves C (2011) Changes in angiotensin receptors expression play a pivotal role in the renal damage observed in spontaneously hypertensive rats. Am J Physiol Renal Physiol 300:F499\u2013F510","journal-title":"Am J Physiol Renal Physiol"},{"key":"9_CR63","doi-asserted-by":"publisher","first-page":"12749","DOI":"10.1074\/jbc.RA118.001746","volume":"293","author":"RP Silva-Aguiar","year":"2018","unstructured":"Silva-Aguiar RP, Bezerra NCF, Lucena MC, Sirtoli GM, Sudo RT, Zapata-Sudo G, Takiya CM, Pinheiro AAS, Dias WB, Caruso-Neves C (2018) O-GlcNAcylation reduces proximal tubule protein reabsorption and promotes proteinuria in spontaneously hypertensive rats. J Biol Chem 293:12749\u201312758","journal-title":"J Biol Chem"},{"key":"9_CR64","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1186\/s12014-015-9092-7","volume":"12","author":"MA \u00d8vrehus","year":"2015","unstructured":"\u00d8vrehus MA, Z\u00fcrbig P, Vikse BE, Hallan SI (2015) Urinary proteomics in chronic kidney disease: diagnosis and risk of progression beyond albuminuria. Clin Proteomics 12:21","journal-title":"Clin Proteomics"},{"key":"9_CR65","doi-asserted-by":"publisher","first-page":"1879554","DOI":"10.1155\/2023\/1879554","volume":"2023","author":"N Bostanghadiri","year":"2023","unstructured":"Bostanghadiri N, Ziaeefar P, Mofrad MG, Yousefzadeh P, Hashemi A, Darban-Sarokhalil D (2023) COVID-19: an overview of SARS-CoV-2 variants-the current vaccines and drug development. Biomed Res Int 2023:1879554","journal-title":"Biomed Res Int"},{"key":"9_CR66","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1038\/s41581-022-00642-4","volume":"19","author":"N Murakami","year":"2023","unstructured":"Murakami N, Hayden R, Hills T, Al-Samkari H, Casey J, Del Sorbo L, Lawler PR, Sise ME, Leaf DE (2023) Therapeutic advances in COVID-19. Nat Rev Nephrol 19:38\u201352","journal-title":"Nat Rev Nephrol"},{"key":"9_CR67","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1038\/s41577-022-00785-2","volume":"23","author":"CA Schmitt","year":"2023","unstructured":"Schmitt CA, Tchkonia T, Niedernhofer LJ, Robbins PD, Kirkland JL, Lee S (2023) COVID-19 and cellular senescence. Nat Rev Immunol 23:251\u2013263","journal-title":"Nat Rev Immunol"},{"key":"9_CR68","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1038\/s41581-021-00452-0","volume":"17","author":"M Legrand","year":"2021","unstructured":"Legrand M, Bell S, Forni L, Joannidis M, Koyner JL, Liu K, Cantaluppi V (2021) Pathophysiology of COVID-19-associated acute kidney injury. Nat Rev Nephrol 17:751\u2013764","journal-title":"Nat Rev Nephrol"},{"key":"9_CR69","doi-asserted-by":"publisher","unstructured":"Bento GAO, Leite VLT, Campos RP, Vaz FB, Daher EDF, Duarte DB (2023) Reduction of estimated glomerular filtration rate after COVID-19-associated acute kidney injury. J Bras Nefrol:S0101-28002023005019501. https:\/\/doi.org\/10.1590\/2175-8239-JBN-2022-0179en","DOI":"10.1590\/2175-8239-JBN-2022-0179en"},{"key":"9_CR70","doi-asserted-by":"publisher","first-page":"1296","DOI":"10.1016\/j.kint.2020.07.019","volume":"98","author":"A Werion","year":"2020","unstructured":"Werion A, Belkhir L, Perrot M et al (2020) SARS-CoV-2 causes a specific dysfunction of the kidney proximal tubule. Kidney Int 98:1296\u20131307","journal-title":"Kidney Int"},{"key":"9_CR71","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1016\/j.nefroe.2022.11.005","volume":"42","author":"R Passoni","year":"2022","unstructured":"Passoni R, Lordani TVA, Peres LAB, da Carvalho ARS (2022) Occurrence of acute kidney injury in adult patients hospitalized with COVID-19: a systematic review and meta-analysis. Nefrologia (Engl Ed) 42:404\u2013414","journal-title":"Nefrologia (Engl Ed)"},{"key":"9_CR72","doi-asserted-by":"publisher","DOI":"10.3389\/fcimb.2022.838213","volume":"12","author":"W He","year":"2022","unstructured":"He W, Liu X, Hu B et al (2022) Mechanisms of SARS-CoV-2 infection-induced kidney injury: a literature review. Front Cell Infect Microbiol 12:838213","journal-title":"Front Cell Infect Microbiol"},{"key":"9_CR73","first-page":"204993612311983","volume":"10","author":"H Li","year":"2023","unstructured":"Li H, Xia J, Bennett D et al (2023) Long-COVID-19 clinical and health outcomes: an umbrella review. Ther Adv Infect Dis 10:20499361231198335","journal-title":"Ther Adv Infect Dis"},{"key":"9_CR74","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/s10787-023-01194-0","volume":"31","author":"S Szabo","year":"2023","unstructured":"Szabo S, Zayachkivska O, Hussain A, Muller V (2023) What is really \u201cLong COVID\u201d? Inflammopharmacology 31:551\u2013557","journal-title":"Inflammopharmacology"},{"key":"9_CR75","doi-asserted-by":"publisher","first-page":"3064","DOI":"10.1016\/j.ekir.2021.09.010","volume":"6","author":"Y Ye","year":"2021","unstructured":"Ye Y, Swensen AC, Wang Y et al (2021) A pilot study of urine proteomics in COVID-19-associated acute kidney injury. Kidney Int Rep 6:3064\u20133069","journal-title":"Kidney Int Rep"},{"key":"9_CR76","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1038\/s43856-023-00307-8","volume":"3","author":"I Paranjpe","year":"2023","unstructured":"Paranjpe I, Jayaraman P, Su C-Y et al (2023) Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection. Commun Med (Lond) 3:81","journal-title":"Commun Med (Lond)"}],"container-title":["Advances in Experimental Medicine and Biology","Mass Spectrometry-Based Approaches for Treating Human Diseases and Diagnostics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-50624-6_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T08:03:37Z","timestamp":1709021017000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-50624-6_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031506239","9783031506246"],"references-count":76,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-50624-6_9","relation":{},"ISSN":["0065-2598","2214-8019"],"issn-type":[{"value":"0065-2598","type":"print"},{"value":"2214-8019","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}