Proteomic insights into the pathophysiology of hypertension-associated albuminuria: Pilot study in a South African cohort

Stanzick KJ, Li Y, Schlosser P, Gorski M, Wuttke M, Thomas LF, et al. Discovery and prioritization of variants and genes for kidney function in > 1.2 million individuals. Nat Commun. 2021;12(1):4350.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hariparshad S, Bhimma R, Nandlal L, Jembere E, Naicker S, Assounga A. The prevalence of chronic kidney disease in South Africa-limitations of studies comparing prevalence with sub-saharan Africa, Africa, and globally. BMC Nephrol. 2023;24(1):62.

Article  PubMed  PubMed Central  Google Scholar 

De Bhailis ÁM, Kalra PA. Hypertension and the kidneys. Br J Hosp Med. 2022;83(5):1–11.

Article  Google Scholar 

Zandi-Nejad K, Luyckx VA, Brenner BM. Adult hypertension and kidney disease: the role of fetal programming. Hypertension. 2006;47(3):502–8.

Article  CAS  PubMed  Google Scholar 

Gjerde A. Low birth weight, intrauterine growth restriction and risk of chronic kidney disease in adult age. 2022.

Xie D, Ma T, Cui H, Li J, Zhang A, Sheng Z, et al. Global burden and influencing factors of chronic kidney disease due to type 2 diabetes in adults aged 20–59 years, 1990–2019. Sci Rep. 2023;13(1):20234.

Article  ADS  PubMed  PubMed Central  Google Scholar 

Benigni A, Cassis P, Remuzzi G. Angiotensin II revisited: new roles in inflammation, immunology and aging. EMBO Mol Med. 2010;2(7):247–57.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Pollock DM. Renal endothelin in hypertension. Curr Opin Nephrol Hypertens. 2000;9(2):157–64.

Article  CAS  PubMed  Google Scholar 

Sasser JM, Pollock JS, Pollock DM. Renal endothelin in chronic angiotensin II hypertension. Am J Physiology-Regulatory Integr Comp Physiol. 2002;283(1):R243–R8.

Article  CAS  Google Scholar 

Navar L, Inscho E, Majid S, Imig J, Harrison-Bernard L, Mitchell K. Paracrine regulation of the renal microcirculation. Physiol Rev. 1996;76(2):425–536.

Article  CAS  PubMed  Google Scholar 

Rüster C, Wolf G. Renin-angiotensin-aldosterone system and progression of renal disease. J Am Soc Nephrol. 2006;17(11):2985–91.

Article  PubMed  Google Scholar 

Siragy HM, Carey RM. Role of the intrarenal renin-angiotensin-aldosterone system in chronic kidney disease. Am J Nephrol. 2010;31(6):541–50.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bidani AK, Griffin KA. Pathophysiology of hypertensive renal damage: implications for therapy. Hypertension. 2004;44(5):595–601.

Article  CAS  PubMed  Google Scholar 

Shankland S. The podocyte’s response to injury: role in proteinuria and glomerulosclerosis. Kidney Int. 2006;69(12):2131–47.

Article  CAS  PubMed  Google Scholar 

Folkow B, Göthberg G, Lundin S, Ricksten SE. Structural resetting of the renal vascular bed in spontaneously hypertensive rats (SHR). Acta Physiol Scand. 1977;100(2):270–2.

Article  CAS  PubMed  Google Scholar 

Buffet L, Ricchetti C. Chronic kidney disease and hypertension: A destructive combination. 2012.

Heerspink HJL, Gansevoort RT. Albuminuria is an appropriate therapeutic target in patients with CKD: the pro view. Clin J Am Soc Nephrol. 2015;10(6):1079–88.

Article  CAS  Google Scholar 

Levin A, Stevens PE, Bilous RW, Coresh J, De Francisco AL, De Jong PE, et al. Kidney disease: improving global outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Supplements. 2013;3(1):1–150.

Google Scholar 

Lopez-Giacoman S, Madero M. Biomarkers in chronic kidney disease, from kidney function to kidney damage. World J Nephrol. 2015;4(1):57.

Article  PubMed  PubMed Central  Google Scholar 

Heerspink HJL, Gansevoort RT. Albuminuria is an appropriate therapeutic target in patients with CKD: the pro view. Clin J Am Soc Nephrology: CJASN. 2015;10(6):1079.

Article  CAS  Google Scholar 

Good DM, Zürbig P, Argiles A, Bauer HW, Behrens G, Coon JJ, et al. Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. Mol Cell Proteom. 2010;9(11):2424–37.

Article  CAS  Google Scholar 

Wu I-W, Tsai T-H, Lo C-J, Chou Y-J, Yeh C-H, Chan Y-H, et al. Discovering a trans-omics biomarker signature that predisposes high risk diabetic patients to diabetic kidney disease. Npj Digit Med. 2022;5(1):166.

Article  PubMed  PubMed Central  Google Scholar 

Cisek K, Krochmal M, Klein J, Mischak H. The application of multi-omics and systems biology to identify therapeutic targets in chronic kidney disease. Nephrol Dialysis Transplantation. 2016;31(12):2003–11.

Article  Google Scholar 

Provenzano M, Serra R, Garofalo C, Michael A, Crugliano G, Battaglia Y, et al. Omics in chronic kidney disease: focus on prognosis and prediction. Int J Mol Sci. 2021;23(1):336.

Article  PubMed  PubMed Central  Google Scholar 

Mischak H, Delles C, Klein J, Schanstra JP. Urinary proteomics based on capillary electrophoresis-coupled mass spectrometry in kidney disease: discovery and validation of biomarkers, and clinical application. Adv Chronic Kidney Dis. 2010;17(6):493–506.

Article  PubMed  Google Scholar 

Fan G, Gong T, Lin Y, Wang J, Sun L, Wei H, et al. Urine proteomics identifies biomarkers for diabetic kidney disease at different stages. Clin Proteomics. 2021;18(1):1–12.

Article  Google Scholar 

Pontillo C, Mischak H. Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease. Clin Kidney J. 2017;10(2):192–201.

Article  CAS  PubMed  PubMed Central  Google Scholar 

De Beer D, Mels CM, Schutte AE, Delles C, Mary S, Mullen W, et al. Identifying a urinary peptidomics profile for hypertension in young adults: the African-PREDICT study: urinary peptidomics and hypertension. Proteomics. 2023;23(11):2200444.

Article  Google Scholar 

Kalyesubula R, Fabian J, Nakanga W, Newton R, Ssebunnya B, Prynn J, et al. How to estimate glomerular filtration rate in sub-saharan Africa: design and methods of the African Research into kidney diseases (ARK) study. BMC Nephrol. 2020;21(1):1–12.

Article  Google Scholar 

Craik A, Gondwe M, Mayindi N, Chipungu S, Khoza B, Gómez-Olivé X, et al. Forgotten but not gone in rural South Africa: urinary schistosomiasis and implications for chronic kidney disease screening in endemic countries. Wellcome Open Res. 2023;8(68):68.

Article  PubMed  PubMed Central  Google Scholar 

George JA, Brandenburg J-T, Fabian J, Crowther NJ, Agongo G, Alberts M, et al. Kidney damage and associated risk factors in rural and urban sub-saharan Africa (AWI-Gen): a cross-sectional population study. Lancet Global Health. 2019;7(12):e1632–e43.

Article  PubMed  Google Scholar 

Nweke EE, Naicker P, Aron S, Stoychev S, Devar J, Tabb DL, et al. SWATH-MS based proteomic profiling of pancreatic ductal adenocarcinoma tumours reveals the interplay between the extracellular matrix and related intracellular pathways. PLoS ONE. 2020;15(10):e0240453.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Govender IS, Mokoena R, Stoychev S, Naicker P. Urine-HILIC: automated sample preparation for bottom-up urinary proteome profiling in clinical proteomics. Proteomes. 2023;11(4):29.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Röst HL, Rosenberger G, Navarro P, Gillet L, Miladinović SM, Schubert OT, et al. OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data. Nat Biotechnol. 2014;32(3):219–23.

Article  PubMed  Google Scholar 

Reiter L, Rinner O, Picotti P, Hüttenhain R, Beck M, Brusniak M-Y, et al. mProphet: automated data processing and statistical validation for large-scale SRM experiments. Nat Methods. 2011;8(5):430–5.

Article  CAS  PubMed  Google Scholar 

Zhang B, Chambers MC, Tabb DL. Proteomic parsimony through bipartite graph analysis improves accuracy and transparency. J Proteome Res. 2007;6(9):3549–57.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Torun FM, Virreira Winter S, Doll S, Riese FM, Vorobyev A, Mueller-Reif JB, et al. Transparent exploration of machine learning for biomarker discovery from proteomics and omics data. J Proteome Res. 2022;22(2):359–67.

Article  PubMed  PubMed Central  Google Scholar 

Benson LN, Guo Y, Deck K, Mora C, Liu Y, Mu S. The link between immunity and hypertension in the kidney and heart. Front Cardiovasc Med. 2023;10.

Mattson DL. Infiltrating immune cells in the kidney in salt-sensitive hypertension and renal injury. Am J Physiology-Renal Physiol. 2014;307(5):F499–F508.

Article  CAS 

留言 (0)

沒有登入
gif