Identifying a urinary peptidomics profile for hypertension in young adults: The African-PREDICT study: Urinary peptidomics and hypertension: Urinary peptidomics and hypertension.

التفاصيل البيبلوغرافية
العنوان:	Identifying a urinary peptidomics profile for hypertension in young adults: The African-PREDICT study: Urinary peptidomics and hypertension: Urinary peptidomics and hypertension.
المؤلفون:	De Beer D; Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa., Mels CMC; Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa.; MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa., Schutte AE; Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa.; MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.; School of Population Health, The George Institute for Global Health, University of New South Wales, Sydney, Australia., Delles C; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK., Mary S; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK., Mullen W; Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK., Latosinska A; Mosaiques Diagnostics GmbH, Hannover, Germany., Mischak H; Mosaiques Diagnostics GmbH, Hannover, Germany., Kruger R; Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa.; MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.
المصدر:	Proteomics [Proteomics] 2023 Jun; Vol. 23 (11), pp. e2200444. Date of Electronic Publication: 2023 Apr 03.
نوع المنشور:	Journal Article; Research Support, Non-U.S. Gov't
اللغة:	English
بيانات الدورية:	Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101092707 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1615-9861 (Electronic) Linking ISSN: 16159853 NLM ISO Abbreviation: Proteomics Subsets: MEDLINE
أسماء مطبوعة:	Original Publication: Weinheim, Germany : Wiley-VCH,
مواضيع طبية MeSH:	Proteomics/methods , Hypertension, Humans ; Male ; Young Adult ; Female ; Biomarkers ; Peptides/chemistry ; Mass Spectrometry/methods
مستخلص:	Hypertension is one of the most important and complex risk factors for cardiovascular diseases (CVDs). By using urinary peptidomics analyses, we aimed to identify peptides associated with hypertension, building a framework for future research towards improved prediction and prevention of premature development of CVD. We included 78 hypertensive and 79 normotensive participants from the African-PREDICT study (aged 20-30 years), matched for sex (51% male) and ethnicity (49% black and 51% white). Urinary peptidomics data were acquired using capillary-electrophoresis-time-of-flight-mass-spectrometry. Hypertension-associated peptides were identified and combined into a support vector machine-based multidimensional classifier. When comparing the peptide data between the normotensive and hypertensive groups, 129 peptides were nominally differentially abundant (Wilcoxon p < 0.05). Nonetheless, only three peptides, all derived from collagen alpha-1(III), remained significantly different after rigorous adjustments for multiple comparisons. The 37 most significant peptides (all p ≤ 0.001) served as basis for the development of a classifier, with 20 peptides being combined into a unifying score, resulting in an AUC of 0.85 in the ROC analysis (p < 0.001), with 83% sensitivity at 80% specificity. Our study suggests potential value of urinary peptides in the classification of hypertension, which could enable earlier diagnosis and better understanding of the pathophysiology of hypertension and premature cardiovascular disease development. (© 2023 The Authors. Proteomics published by Wiley-VCH GmbH.)
References:	O'donnell, M. J., Xavier, D., Liu, L., Zhang, H., Chin, S. L., Rao-Melacini, P., Rangarajan, S., Islam, S., Pais, P., Mcqueen, M. J., Mondo, C., Damasceno, A., Lopez-Jaramillo, P., Hankey, G. J., Dans, A. L., Yusoff, K., Truelsen, T., Diener, H.-C., Sacco, R. L., … Yusuf, S. (2010). Risk factors for ischaemic and intracerebral haemorrhagic stroke in 22 countries (the INTERSTROKE study): A case-control study. The Lancet, 376(9735), 112-123. Weber, T., Lang, I., Zweiker, R., Horn, S., Wenzel, R R., Watschinger, B., Slany, J., Eber, B., Roithinger, F. X., & Metzler, B. (2016). Hypertension and coronary artery disease: epidemiology, physiology, effects of treatment, and recommendations. Wiener klinische Wochenschrift, 128(13-14), 467-479. Kannan, A., & Janardhanan, R. (2014). Hypertension as a risk factor for heart failure. Current Hypertension Reports, 16(7), 447. Kjeldsen, S E. (2018). Hypertension and cardiovascular risk: General aspects. Pharmacological Research, 129, 95-99. Joshi, A., Rienks, M., Theofilatos, K., & Mayr, M. (2021). Systems biology in cardiovascular disease: A multiomics approach. Nature Reviews Cardiology, 18(5), 313-330. Latosinska, A., Siwy, J., Faguer, S., Beige, J., Mischak, H., & Schanstra, J P. (2021). Value of urine peptides in assessing kidney and cardiovascular disease. PROTEOMICS - Clinical Applications, 15(1), 2000027. Lindsey, M. L., Mayr, M., Gomes, A. V., Delles, C., Arrell, D. K., Murphy, A. M., Lange, R. A., Costello, C. E., Jin, Y. F., Laskowitz, D. T., Sam, F., Terzic, A., Van Eyk, J., & Srinivas, P. R., American Heart Association Council on Functional Genomics and Translational Biology, Council on Cardiovascular Disease in the Young, Council on Clinical Cardiology, Council on Cardiovascular and Stroke Nursing, Council on Hypertension, and Stroke Council. (2015). Transformative impact of proteomics on cardiovascular health and disease: a scientific statement from the American Heart Association. Circulation, 132(9), 852-872. Kalantari, S., Jafari, A., Moradpoor, R., Ghasemi, E., & Khalkhal, E. (2015). Human urine proteomics: analytical techniques and clinical applications in renal diseases. International Journal of Proteomics, 2015, 782798. González-Buitrago, J. M., Ferreira, L., & Lorenzo, I. (2007). Urinary proteomics. Clinica Chimica Acta, 375(1-2), 49-56. Castro Brás, L. E. d., & Lindsey, M. L. (2019). Using peptidomics to identify extracellular matrix-derived peptides as novel therapeutics for cardiac disease. In Fibrosis in disease (pp. 349-365). Springer. Rossing, K., Bosselmann, H. S., Gustafsson, F., Zhang, Z.-Y., Gu, Y.-M., Kuznetsova, T., Nkuipou-Kenfack, E., Mischak, H., Staessen, J. A., Koeck, T., & Schou, M. (2016). Urinary proteomics pilot study for biomarker discovery and diagnosis in heart failure with reduced ejection fraction. PLOS ONE, 11(6), e0157167. Brown, C. E., Mccarthy, N. S., Hughes, A. D., Sever, P., Stalmach, A., Mullen, W., Dominiczak, A. F., Sattar, N., Mischak, H., Thom, S., Mayet, J., Stanton, A. V., & Delles, C. (2015). Urinary proteomic biomarkers to predict cardiovascular events. PROTEOMICS - Clinical Applications, 9(5-6), 610-617. Neisius, U., Koeck, T., Mischak, H., Rossi, S. H., Olson, E., Carty, D. M., Dymott, J. A., Dominiczak, A. F., Berry, C., Oldroyd, K. G., & Delles, C. (2016). Urine proteomics in the diagnosis of stable angina. BMC Cardiovascular Disorders, 16(1), 70. Sun, H., Wang, D., Liu, D., Guo, Z., Shao, C., Sun, W., & Zeng, Y. (2019). Differential urinary proteins to diagnose coronary heart disease based on iTRAQ quantitative proteomics. Analytical and Bioanalytical Chemistry, 411(11), 2273-2282. Farmakis, D., Koeck, T., Mullen, W., Parissis, J., Gogas, B D., Nikolaou, M., Lekakis, J., Mischak, H., & Filippatos, G. (2016). Urine proteome analysis in heart failure with reduced ejection fraction complicated by chronic kidney disease: Feasibility, and clinical and pathogenetic correlates. European Journal of Heart Failure, 18(7), 822-829. Zhang, Z.-Y., Ravassa, S., Nkuipou-Kenfack, E., Yang, W.-Y., Kerr, S. M., Koeck, T., Campbell, A., Kuznetsova, T., Mischak, H., Padmanabhan, S., Dominiczak, A. F., Delles, C., & Staessen, J. A. (2017). Novel urinarypeptidomic classifier predicts incident heart failure. Journal of the American Heart Association, 6(8), e005432. Li, Y., Long, J., Chen, J., Zhang, J., Qin, Y., Zhong, Y., Liu, F., & Peng, Z. (2020). Analysis of spatiotemporal urine protein dynamics to identify new biomarkers for sepsis-induced acute kidney injury. Frontiers in Physiology, 11, 139. Øvrehus, M. A., Zürbig, P., Vikse, B. E., & Hallan, S. I. (2015). Urinary proteomics in chronic kidney disease: Diagnosis and risk of progression beyond albuminuria. Clinical Proteomics, 12(1), 21-21. Verbeke, F., Siwy, J., Van Biesen, W., Mischak, H., Pletinck, A., Schepers, E., Neirynck, N., Magalhães, P., Pejchinovski, M., Pontillo, C., & Lichtinghagen, R. (2021). The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease. Nephrology Dialysis Transplantation, 36(5), 811-818. Argilés, À., Siwy, J., Duranton, F., Gayrard, N., Dakna, M., Lundin, U., Osaba, L., Delles, C., Mourad, G., Weinberger, K M., & Mischak, H. (2013). CKD273, a new proteomics classifier assessing CKD and its prognosis. PLOS ONE, 8(5), e62837. Kononikhin, A. S., Starodubtseva, N. L., Bugrova, A. E., Shirokova, V. A., Chagovets, V. V., Indeykina, M. I., Popov, I. A., Kostyukevich, Y. I., Vavina, O. V., Muminova, K. T., Khodzhaeva, Z. S., Kan, N. E., Frankevich, V. E., Nikolaev, E. N., & Sukhikh, G. T. (2016). An untargeted approach for the analysis of the urine peptidome of women with preeclampsia. Journal of Proteomics, 149, 38-43. Schutte, A. E., Gona, P. N., Delles, C., Uys, A. S., Burger, A., Mels, C. M., Kruger, R., Smith, W., Fourie, C. M., Botha, S., Lammertyn, L., Van Rooyen, J. M., Gafane-Matemane, L. F., Mokwatsi, G. G., Breet, Y., Kruger, H. S., Zyl, T. V., Pieters, M., … Huisman, H. W. (2019). The African Prospective study on the Early Detection and Identification of Cardiovascular disease and Hypertension (African-PREDICT): Design, recruitment and initial examination. European Journal of Preventive Cardiology, 26(5), 458-470. Williams, B., Mancia, G., Spiering, W., Agabiti Rosei, E., Azizi, M., Burnier, M., Clement, D. L., Coca, A., De Simone, G., Dominiczak, A., Kahan, T., Mahfoud, F., Redon, J., Ruilope, L., Zanchetti, A., Kerins, M., Kjeldsen, S. E., Kreutz, R., Laurent, S., … Brady, A. (2018). 2018 ESC/ESH Guidelines for the management of arterial hypertension. European Heart Journal, 39(33), 3021-3104. Stewart, A., Marfell-Jones, M., Olds, T., & Ridder, d. H. (2011). International Society for Advancement of Kinanthropometry. International standards for anthropometric assessment (pp. 50-53). International Society for the Advancement of Kinanthropometry. Yoo, E.-G. (2016). Waist-to-height ratio as a screening tool for obesity and cardiometabolic risk. Korean Journal of Pediatrics, 59(11), 425. Weir, C. B., & Jan, A. (2021). BMI Classification Percentile And Cut Off Points. StatPearls, Treasure Island, FL, USA, pp. 1-4. Patro, B. K., Jeyashree, K., & Gupta, P. K. (2012). Kuppuswamy's socioeconomic status scale 2010-the need for periodic revision. The Indian Journal of Pediatrics, 79(3), 395-396. Lang, R., Bierig, M., Devereux, R., Flachskampf, F., Foster, E., Pellikka, P., Picard, M., Roman, M., Seward, J., & Shanewise, J. (2006). Recommendations for chamber quantification. European Journal of Echocardiography, 7, 79-108. Sahn, D. J., Demaria, A., Kisslo, J., & Weyman, A. (1978). Recommendations regarding quantitation in M-mode echocardiography: Results of a survey of echocardiographic measurements. Circulation, 58, 1072-1083. Marwick, T. H., Gillebert, T. C., Aurigemma, G., Chirinos, J., Derumeaux, G., Galderisi, M., Gottdiener, J., Haluska, B., Ofili, E., Segers, P., Senior, R., Tapp, R. J., & Zamorano, J. L. (2015). Recommendations on the use of echocardiography in adult hypertension: A report from the European Association of Cardiovascular Imaging (EACVI) and the American Society of Echocardiography (ASE). European Heart Journal-Cardiovascular Imaging, 16(6), 577-605. Lang, R. M., Badano, L. P., Mor-Avi, V., Afilalo, J., Armstrong, A., Ernande, L., Flachskampf, F. A., Foster, E., Goldstein, S. A., Kuznetsova, T., Lancellotti, P., Muraru, D., Picard, M. H., Rietzschel, E. R., Rudski, L., Spencer, K. T., Tsang, W., & Voigt, J.-U. (2015). Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr, 28, 1-39. Mischak, H., Vlahou, A., & Ioannidis, J. P. A. (2013). Technical aspects and inter-laboratory variability in native peptide profiling: The CE-MS experience. Clinical Biochemistry, 46(6), 432-443. Mavrogeorgis, E., Mischak, H., Latosinska, A., Siwy, J., Jankowski, V., & Jankowski, J. (2021). Reproducibility evaluation of urinary peptide detection using CE-MS. Molecules, 26(23), 7260. Albalat, A., Bitsika, V., Zurbig, P., Siwy, J., & Mullen, W. (2013). High-resolution proteome/peptidome analysis of body fluids by capillary electrophoresis coupled with MS. Methods in Molecular Biology, 984, 153-165. Neuhoff, N. V., Kaiser, T., Wittke, S., Krebs, R., Pitt, A., Burchard, A., Sundmacher, A., Schlegelberger, B., Kolch, W., & Mischak, H. (2004). Mass spectrometry for the detection of differentially expressed proteins: A comparison of surface-enhanced laser desorption/ionization and capillary electrophoresis/mass spectrometry. Rapid Communications in Mass Spectrometry, 18(2), 149-156. Jantos-Siwy, J., Schiffer, E., Brand, K., Schumann, G., Rossing, K., Delles, C., Mischak, H., & Metzger, J. (2009). Quantitative urinary proteome analysis for biomarker evaluation in chronic kidney disease. Journal of Proteome Research, 8(1), 268-281. Latosinska, A., Siwy, J., Mischak, H., & Frantzi, M. (2019). Peptidomics and proteomics based on CE-MS as a robust tool in clinical application: The past, the present, and the future. Electrophoresis, 40(18-19), 2294-2308. Candelino, M., Tagi, V. M., & Chiarelli, F. (2022). Cardiovascular risk in children: a burden for future generations. Italian Journal of Pediatrics, 48(1), 57. Tackling, G., & Borhade, M. B. (2019). Hypertensive heart disease. StatPearls Publishing. Ruppert, V., & Maisch, B. (2003). Genetics of human hypertension. Herz, 28(8), 655-662. Bazzano, L A., Green, T., Harrison, T N., & Reynolds, K. (2013). Dietary approaches to prevent hypertension. Current Hypertension Reports, 15(6), 694-702. Buford, T W. (2016). Hypertension and aging. Ageing Research Reviews, 26, 96-111. Noh, J., Kim, H. C., Shin, A., Yeom, H., Jang, S.-Y., Lee, J. H., Kim, C., & Suh, I. (2016). Prevalence of comorbidity among people with hypertension: The Korea National Health and Nutrition Examination Survey 2007-2013 2007-2013. Korean Circulation Journal, 46(5), 672-680. Tsimihodimos, V., Gonzalez-Villalpando, C., Meigs, J. B., & Ferrannini, E. (2018). Hypertension and diabetes mellitus. Hypertension, 71(3), 422-428. Kestenbaum, B., Rudser, K. D., De Boer, I. H., Peralta, C A., Fried, L. F., Shlipak, M. G., Palmas, W., Stehman-Breen, C., & Siscovick, D. S. (2008). Differences in kidney function and incident hypertension: The multi-ethnic study of atherosclerosis. Annals of Internal Medicine, 148(7), 501-508. Leggio, M., Lombardi, M., Caldarone, E., Severi, P., D'emidio, S., Armeni, M., Bravi, V., Bendini, M. G., & Mazza, A. (2017). The relationship between obesity and hypertension: An updated comprehensive overview on vicious twins. Hypertension Research, 40(12), 947-963. Burrello, J., Monticone, S., Buffolo, F., Tetti, M., Veglio, F., Williams, T., & Mulatero, P. (2017). Is there a role for genomics in the management of hypertension? International Journal of Molecular Sciences, 18(6), 1131. Levy, D., Larson, M. G., Benjamin, E. J., Newton-Cheh, C., Wang, T. J., Hwang, S.-J., Vasan, R. S., & Mitchell, G. F. (2007). Framingham Heart Study 100K Project: Genome-wide associations for blood pressure and arterial stiffness. BMC Medical Genetics, 8(1), S3. Wang, Y., & Wang, J.-G. (2018). Genome-wide association studies of hypertension and several other cardiovascular diseases. In Heart Genomics (pp. 1-29). Springer. International Consortium for Blood Pressure Genome-Wide Association Studies, Ehret, G. B., Munroe, P. B., Rice, K. M., Bochud, M., Johnson, A. D., Chasman, D. I., Smith, A. V., Tobin, M. D., Verwoert, G. C., Hwang, S. J., Pihur, V., Vollenweider, P., O'Reilly, P. F., Amin, N., Bragg-Gresham, J. L., Teumer, A., Glazer, N. L., Launer, L., & Hwang, S.-J. (2011). Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature, 478(7367), 103. Levy, D., Ehret, G. B., Rice, K., Verwoert, G. C., Launer, L. J., Dehghan, A., Glazer, N. L., Morrison, A. C., Johnson, A. D., Aspelund, T., Aulchenko, Y., Lumley, T., Köttgen, A., Vasan, R. S., Rivadeneira, F., Eiriksdottir, G., Guo, X., Arking, D. E., Mitchell, G. F., & Van Duijn, C. M. (2009). Genome-wide association study of blood pressure and hypertension. Nature Genetics, 41(6), 677-687. Wang, Y., O'connell, J. R., Mcardle, P. F., Wade, J. B., Dorff, S. E., Shah, S. J., Shi, X., Pan, L., Rampersaud, E., Shen, H., Kim, J. D., Subramanya, A. R., Steinle, N. I., Parsa, A., Ober, C. C., Welling, P. A., Chakravarti, A., Weder, A. B., Cooper, R. S., … Mitchell, B. D. (2009). Whole-genome association study identifies STK39 as a hypertension susceptibility gene. Proceedings of the National Academy of Sciences, 106(1), 226-231. Lip, S., & Padmanabhan, S. (2020). Genomics of blood pressure and hypertension: Extending the mosaic theory toward stratification. Canadian Journal of Cardiology, 36(5), 694-705. Gupta, R. M., Hadaya, J., Trehan, A., Zekavat, S. M., Roselli, C., Klarin, D., Emdin, C. A., Hilvering, C. R. E., Bianchi, V., Mueller, C., Khera, A. V., Ryan, R. J. H., Engreitz, J. M., Issner, R., Shoresh, N., Epstein, C. B., De Laat, W., Brown, J. D., Schnabel, R. B., … Bernstein, B. E. (2017). A genetic variant associated with five vascular diseases is a distal regulator of endothelin-1 gene expression. Cell, 170(3), 522-533.e15. Padmanabhan, S., Melander, O., Johnson, T., Di Blasio, A. M., Lee, W. K., Gentilini, D., Hastie, C. E., Menni, C., Monti, M. C., Delles, C., Laing, S., Corso, B., Navis, G., Kwakernaak, A. J., Van Der Harst, P., Bochud, M., Maillard, M., Burnier, M., Hedner, T., … Dominiczak, A. F. (2010). Genome-wide association study of blood pressure extremes identifies variant near UMOD associated with hypertension. PLoS Genetics, 6(10), e1001177. Barallobre-Barreiro, J., Loeys, B., Mayr, M., Rienks, M., Verstraeten, A., & Kovacic, J C. (2020). Extracellular matrix in vascular disease, Part 2/4. Journal of the American College of Cardiology, 75(17), 2189-2203. Wagenseil, J. E., & Mecham, R. P. (2009). Vascular extracellular matrix and arterial mechanics. Physiology Reviews, 89(3), 957-989. Durante, W., Liao, L., Reyna, S. V., Peyton, K. J., & Schafer, A I. (2000). Physiological cyclic stretch directs L-arginine transport and metabolism to collagen synthesis in vascular smooth muscle. The FASEB Journal, 14(12), 1775-1783. Lee, H. W, Karam, J., Hussain, B., & Winer, N. (2008). Vascular compliance in hypertension: Therapeutic implications. Current Diabetes Reports, 8(3), 208-213. Zieman, S. J., Melenovsky, V., & Kass, D. A. (2005). Mechanisms, pathophysiology, and therapy of arterial stiffness. Arteriosclerosis, Thrombosis, and Vascular Biology, 25(5), 932-943. Kruger, R., Schutte, R., Huisman, H. W., Van Rooyen, J. M., Malan, N. T., Fourie, C. M. T., Louw, R., Van Der Westhuizen, F. H., Van Deventer, C. A., Malan, L., & Schutte, A. E. (2012). Associations between reactive oxygen species, blood pressure and arterial stiffness in black South Africans: The SABPA study. Journal of Human Hypertension, 26(2), 91-97. Cowley, A. W. Jr, Abe, M., Mori, T., O'Connor, P. M., Ohsaki, Y., & Zheleznova, N. N. (2015). Reactive oxygen species as important determinants of medullary flow, sodium excretion, and hypertension. American Journal of Physiology-Renal Physiology, 308(3), F179-F197. Myburgh, C., Mc Mels, C., & Huisman, H. W. (2017). The Relation of blood pressure and carotid intima-media thickness with the glutathione cycle in a young bi-ethnic population: The African-PREDICT study. Free Radical Biology and Medicine, 112, 118. Ali, E. A.-E., Abd Elrhman, M. Z., & Mahmoud, M. A. (2018). High-sensitivity C-reactive protein as a potential marker for hypertension. Al-Azhar Assiut Medical Journal, 16(1), 13. Hage, F. G. (2014). C-reactive protein and hypertension. Journal of Human Hypertension, 28(7), 410-415. Craig, A., Mels, C. M., Schutte, A. E., Tsikas, D., & Kruger, R. (2020). Nitric oxide-related markers link inversely to blood pressure in black boys and men: The ASOS and African-PREDICT studies. Amino Acids, 1-10. Giles, T. D., Sander, G. E., Nossaman, B. D., & Kadowitz, P. J. (2012). Impaired vasodilation in the pathogenesis of hypertension: Focus on nitric oxide, endothelial-derived hyperpolarizing factors, and prostaglandins. The Journal of Clinical Hypertension, 14(4), 198-205. Mels, C. M. C., Schutte, A. E., Schutte, R., Pretorius, P. J., Smith, W., Huisman, H. W., Van Der Westhuizen, F. H., Fourie, C. M. T., Van Rooyen, J. M., Kruger, R., Louw, R., Malan, N. T., & Malan, L. (2014). 8-Oxo-7, 8-dihydro-2’-deoxyguanosine, reactive oxygen species and ambulatory blood pressure in African and Caucasian men: The SABPA study. Free Radical Research, 48(11), 1291-1299. Mels, C. M. C., Schutte, A. E., Erasmus, E., Huisman, H W., Schutte, R., Fourie, C. M. T., Kruger, R., Van Rooyen, J. M., Smith, W., Malan, N. T., & Malan, L. (2013). L-carnitine and long-chain acylcarnitines are positively correlated with ambulatory blood pressure in humans: The SABPA study. Lipids, 48(1), 63-73. Mazzali, M., Kanbay, M., Segal, M. S., Shafiu, M., Jalal, D., Feig, D. I., & Johnson, R. J. (2010). Uric acid and hypertension: Cause or effect? Current Rheumatology Reports, 12(2), 108-117. Du Toit, W. L., Schutte, A. E., & Mels, C. M. C. (2020). The relationship of blood pressure with uric acid and bilirubin in young lean and overweight/obese men and women: The African-PREDICT study. Journal of Human Hypertension, 34(9), 648-656. Wang, L., Hou, E., Wang, L., Wang, Y., Yang, L., Zheng, X., Xie, G., Sun, Q., Liang, M., & Tian, Z. (2015). Reconstruction and analysis of correlation networks based on GC-MS metabolomics data for young hypertensive men. Analytica Chimica Acta, 854, 95-105. Delles, C., Schiffer, E., Von Zur Muhlen, C., Peter, K., Rossing, P., Parving, H.-H., Dymott, J. A., Neisius, U., Zimmerli, L. U., Snell-Bergeon, J. K., Maahs, D. M., Schmieder, R. E., Mischak, H., & Dominiczak, A. F. (2010). Urinary proteomic diagnosis of coronary artery disease: identification and clinical validation in 623 individuals. Journal of Hypertension, 28(11), 2316-2322. Good, D. M., Zürbig, P., Argiles, A., Bauer, H. W., Behrens, G., Coon, J. J., Dakna, M., Decramer, S., Delles, C., Dominiczak, A. F., Ehrich, J. H., Eitner, F., Fliser, D., Frommberger, M., Ganser, A., Girolami, M. A., Golovko, I., Gwinner, W., Haubitz, M., & Dominiczak, A. F. (2010). Naturally occurring human urinary peptides for use in diagnosis of chronic kidney disease. Molecular & Cellular Proteomics, 9(11), 2424-2437. Kuznetsova, T., Mischak, H., Mullen, W., & Staessen, J. A. (2012). Urinary proteome analysis in hypertensive patients with left ventricular diastolic dysfunction. European Heart Journal, 33(18), 2342-2350. Delles, C., Carrick, E., Graham, D., & Nicklin, S. A. (2018). Utilizing proteomics to understand and define hypertension: Where are we and where do we go? Expert Review of Proteomics, 15(7), 581-592. Li, X. C., & Zhuo, J. L. (2011). Phosphoproteomic analysis of AT1 receptor-mediated signaling responses in proximal tubules of angiotensin II-induced hypertensive rats. Kidney International, 80(6), 620-632. Baudrand, R., & Vaidya, A. (2018). The low-renin hypertension phenotype: Genetics and the role of the mineralocorticoid receptor. International Journal of Molecular Sciences, 19(2), 546. Gajjala, P. R., Jankowski, V., Heinze, G., Bilo, G., Zanchetti, A., Noels, H., Liehn, E., Perco, P., Schulz, A., Delles, C., Kork, F., Biessen, E., Narkiewicz, K., Kawecka-Jaszcz, K., Floege, J., Soranna, D., Zidek, W., & Jankowski, J. (2017). Proteomic-biostatistic integrated approach for finding the underlying molecular determinants of hypertension in human plasma. Hypertension, 70(2), 412-419. Pontillo, C., Jacobs, L., Staessen, J. A., Schanstra, J. P., Rossing, P., Heerspink, H. J. L., Siwy, J., Mullen, W., Vlahou, A., Mischak, H., Vanholder, R., Zürbig, P., & Jankowski, J. (2017). A urinary proteome-based classifier for the early detection of decline in glomerular filtration. Nephrology Dialysis Transplantation, 32(9), 1510-1516. Siwy, J., Zürbig, P., Argiles, A., Beige, J., Haubitz, M., Jankowski, J., Julian, B. A., Linde, P. G., Marx, D., Mischak, H., Mullen, W., Novak, J., Ortiz, A., Persson, F., Pontillo, C., Rossing, P., Rupprecht, H., Schanstra, J. P., Vlahou, A., & Vanholder, R. (2017). Noninvasive diagnosis of chronic kidney diseases using urinary proteome analysis. Nephrology Dialysis Transplantation, 32(12), 2079-2089. He, T., Pejchinovski, M., Mullen, W., Beige, J., Mischak, H., & Jankowski, V. (2021). Peptides in plasma, urine, and dialysate: Toward unravelling renal peptide handling. PROTEOMICS-Clinical Applications, 15(1), 2000029.
معلومات مُعتمدة:	MC_PC_16095 United Kingdom MRC_ Medical Research Council; RE/18/6/34217 United Kingdom BHF_ British Heart Foundation
فهرسة مساهمة:	Keywords: SVM; hypertension; peptidomics; proteomics
المشرفين على المادة:	0 (Biomarkers) 0 (Peptides)
تواريخ الأحداث:	Date Created: 20230321 Date Completed: 20230529 Latest Revision: 20240425
رمز التحديث:	20240425
DOI:	10.1002/pmic.202200444
PMID:	36943111
قاعدة البيانات:	MEDLINE

View record at Wiley

Full Text Finder

الوصف
تدمد:	1615-9861
DOI:	10.1002/pmic.202200444