KLK1 and ZG16B proteins and arginine–proline metabolism identified as novel targets to monitor atherosclerosis, acute coronary syndrome and recovery

Metabolomics

Volumn 11, Issue 5, 2015, Pages 1056-1067

  Martin Lorenzo, Marta ^a   Zubiri, Irene ^a   Maroto, Aroa S ^a   Gonzalez Calero, Laura ^a   Posada Ayala, Maria ^a   de la Cuesta, Fernando ^b   Mourino Alvarez, Laura ^b   Lopez Almodovar, Luis F ^c   Calvo Bonacho, Eva ^d   Ruilope, Luis M ^e   Padial, Luis R ^c   Barderas, Maria G ^b   Vivanco, Fernando ^a,f   Alvarez Llamas, Gloria ^a  

^a UAM)   (Spain)

^b HOSPITAL NACIONAL DE PARAPLÉJICOS   (Spain)

^c HOSPITAL VIRGEN DE LA SALUD   (Spain)

^d Ibermutuamur   (Spain)

^e Universidad Complutense   (Spain)

^f UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Acute coronary syndrome; Kallikrein; Metabolites; MRM; Nuclear magnetic resonance; SRM; Urine; Zymogen granule protein

Indexed keywords

3 HYDROXYBUTYRIC ACID; ARGININE; GLUTATHIONE; HYDROXYBUTYRIC ACID; KALLIKREIN; KALLIKREIN 1; PROLINE; PROTEIN ZG16B; SECRETORY PROTEIN; UNCLASSIFIED DRUG;

ACUTE CORONARY SYNDROME; ADULT; AGED; ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; ATHEROSCLEROSIS; CARDIOVASCULAR RISK; CLINICAL ARTICLE; CONTROLLED STUDY; FEMALE; GEL ELECTROPHORESIS; HUMAN; IMMUNOHISTOCHEMISTRY; MALE; MATRIX ASSISTED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY; METABOLOMICS; MIDDLE AGED; NONHUMAN; PROTEIN ANALYSIS; PROTEIN INTERACTION; PROTEOMICS; PROTON NUCLEAR MAGNETIC RESONANCE; URINALYSIS; VASCULAR SMOOTH MUSCLE CELL; VERY ELDERLY;

EID: 84941024292     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-014-0761-8     Document Type: Article

References (54)

1. Barderas, M. G., et al. (2011). Metabolomic profiling for identification of novel potential biomarkers in cardiovascular diseases. Journal of Biomedicine and Biotechnology,2011, 790132. doi:10.1155/2011/790132.
2. Bassand, J. P., & Hamm, C. (2007). New European guidelines for the management of patients with unstable angina/non-ST-elevation myocardial infarction—what are the new and key messages. Polskie Archiwum Medycyny Wewnetrznej,117, 391–393.
3. Brain, S. D., & Williams, T. J. (1985). Inflammatory oedema induced by synergism between calcitonin gene-related peptide (CGRP) and mediators of increased vascular permeability. British Journal of Pharmacology,86, 855–860.
4. Chao, J., Shen, B., Gao, L., Xia, C. F., Bledsoe, G., & Chao, L. (2010). Tissue kallikrein in cardiovascular, cerebrovascular and renal diseases and skin wound healing. Biological Chemistry,391, 345–355. doi:10.1515/BC.2010.042.
5. Corti, R., Hutter, R., Badimon, J. J., & Fuster, V. (2004). Evolving concepts in the triad of atherosclerosis, inflammation and thrombosis. Journal of Thrombosis and Thrombolysis,17, 35–44.
6. Damas, J. K., et al. (2002). Stromal cell-derived factor-1alpha in unstable angina: Potential antiinflammatory and matrix-stabilizing effects. Circulation,106, 36–42.
7. Darde, V. M., de la Cuesta, F., Dones, F. G., Alvarez-Llamas, G., Barderas, M. G., & Vivanco, F. (2010). Analysis of the plasma proteome associated with acute coronary syndrome: Does a permanent protein signature exist in the plasma of ACS patients? Journal of Proteome Research,9, 4420–4432. doi:10.1021/pr1002017.
8. de la Cuesta, F., et al. (2011). A proteomic focus on the alterations occurring at the human atherosclerotic coronary intima. Molecular and Cellular Proteomics,10, M110.
9. de la Cuesta, F., et al. (2012). Secretome analysis of atherosclerotic and non-atherosclerotic arteries reveals dynamic extracellular remodeling during pathogenesis. Journal of Proteomics,75, 2960–2971. doi:10.1016/j.jprot.2011.12.005.
10. de la Cuesta, F., et al. (2013). Deregulation of smooth muscle cell cytoskeleton within the human atherosclerotic coronary media layer. Journal of Proteomics,82, 155–165.
11. de la Pena, N. C., Sosa-Melgarejo, J. A., Ramos, R. R., & Mendez, J. D. (2000). Inhibition of platelet aggregation by putrescine, spermidine, and spermine in hypercholesterolemic rabbits. Archives of Medical Research,31, 546–550.
12. Dendorfer, A., Wolfrum, S., & Dominiak, P. (1999). Pharmacology and cardiovascular implications of the kinin-kallikrein system. Japanese Journal of Pharmacology,79, 403–426.
13. Drolet, M. C., Arsenault, M., & Couet, J. (2003). Experimental aortic valve stenosis in rabbits. Journal of the American College of Cardiology,41, 1211–1217.
14. Durante, W. (2013). Role of arginase in vessel wall remodeling. Frontiers in Immunology,4, 111. doi:10.3389/fimmu.2013.00111.
15. Durante, W., Liao, L., Peyton, K. J., & Schafer, A. I. (1997). Lysophosphatidylcholine regulates cationic amino acid transport and metabolism in vascular smooth muscle cells. Role in polyamine biosynthesis. Journal of Biological Chemistry,272, 30154–30159.
16. Durante, W., Liao, L., Reyna, S. V., Peyton, K. J., & Schafer, A. I. (2001). Transforming growth factor-beta(1) stimulates l-arginine transport and metabolism in vascular smooth muscle cells: Role in polyamine and collagen synthesis. Circulation,103, 1121–1127.
17. Gentile, M., et al. (2013). Plasma creatinine levels, estimated glomerular filtration rate and carotid intima media thickness in middle-aged women: A population based cohort study. Nutrition, Metabolism and Cardiovascular Diseases,. doi:10.1016/j.numecd.2013.11.012.
18. Getz, G. S., & Reardon, C. A. (2006). Arginine/arginase NO NO NO. Arteriosclerosis, Thrombosis, and Vascular Biology,26, 237–239. doi:10.1161/01.ATV.0000202014.54609.9d.
19. Hernandez-Vargas, P., et al. (2006). Fcgamma receptor deficiency confers protection against atherosclerosis in apolipoprotein E knockout mice. Circulation Research,99, 1188–1196. doi:10.1161/01.RES.0000250556.07796.6c.
20. Holmes, E., et al. (1994). Automatic data reduction and pattern recognition methods for analysis of 1H nuclear magnetic resonance spectra of human urine from normal and pathological states. Analytical Biochemistry,220, 284–296.
21. Ienaga, K., Park, C. H., & Yokozawa, T. (2013). Protective effect of an intrinsic antioxidant, HMH (5-hydroxy-1-methylhydantoin; NZ-419), against cellular damage of kidney tubules. Experimental and Toxicologic Pathology,65, 559–566. doi:10.1016/j.etp.2012.05.001.
22. Jensen, L. J., et al. (2009). STRING 8—a global view on proteins and their functional interactions in 630 organisms. Nucleic Acids Research,37, D412–D416. doi:10.1093/nar/gkn760.
23. Laborde, M., C., et al. (2014). Plasma metabolomics reveals a potential panel of biomarkers for early diagnosis in acute coronary syndrome. Metabolomics,10, 414–424. doi:10.1007/s11306-013-0595-9.
24. Lee, Y., et al. (2010). PAUF functions in the metastasis of human pancreatic cancer cells and upregulates CXCR4 expression. Oncogene,29, 56–67. doi:10.1038/onc.2009.298.
25. Lewis, G. D., Asnani, A., & Gerszten, R. E. (2008). Application of metabolomics to cardiovascular biomarker and pathway discovery. Journal of the American College of Cardiology,52, 117–123. doi:10.1016/j.jacc.2008.03.043.
26. Libby, P., Ridker, P. M., & Hansson, G. K. (2011). Progress and challenges in translating the biology of atherosclerosis. Nature,473, 317–325. doi:10.1038/nature10146.
27. Libby, P., & Theroux, P. (2005). Pathophysiology of coronary artery disease. Circulation,111, 3481–3488.
28. Lu, Y., et al. (2011). The antioxidant N-acetylcysteine promotes atherosclerotic plaque stabilization through suppression of RAGE, MMPs and NF-kappaB in ApoE-deficient mice. Journal of Atherosclerosis and Thrombosis,18, 998–1008.
29. MacLean, B., et al. (2010). Skyline: An open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics,26, 966–968. doi:10.1093/bioinformatics/btq054.
30. Manning, B. W., Adams, D. O., & Lewis, J. G. (1994). Effects of benzene metabolites on receptor-mediated phagocytosis and cytoskeletal integrity in mouse peritoneal macrophages. Toxicology and Applied Pharmacology,126, 214–223. doi:10.1006/taap.1994.1110.
31. Marcondes, S., & Antunes, E. (2005). The plasma and tissue kininogen-kallikrein-kinin system: Role in the cardiovascular system. Current Medicinal Chemistry: Cardiovascular & Hematological Agents,3, 33–44.
32. Mullick, A. E., Tobias, P. S., & Curtiss, L. K. (2005). Modulation of atherosclerosis in mice by Toll-like receptor 2. Journal of Clinical Investigation,115, 3149–3156. doi:10.1172/JCI25482.
33. Naghavi, M., et al. (2003a). From vulnerable plaque to vulnerable patient: A call for new definitions and risk assessment strategies: Part II. Circulation,108, 1772–1778. doi:10.1161/01.CIR.0000087481.55887.C9108/15/1772.
34. Naghavi, M., et al. (2003b). From vulnerable plaque to vulnerable patient: A call for new definitions and risk assessment strategies: Part I. Circulation,108, 1664–1672. doi:10.1161/01.CIR.0000087480.94275.97108/14/1664.
35. Nishida, K., Abiko, T., Ishihara, M., & Tomikawa, M. (1990). Arterial injury-induced smooth muscle cell proliferation in rats is accompanied by increase in polyamine synthesis and level. Atherosclerosis,83, 119–125.
36. Perkins, D. N., Pappin, D. J., Creasy, D. M., & Cottrell, J. S. (1999). Probability-based protein identification by searching sequence databases using mass spectrometry data. Electrophoresis,20, 3551–3567. doi:10.1002/(SICI)1522-2683(19991201)20:18<3551:AID-ELPS3551>3.0.CO;2-2.
37. Picotti, P., & Aebersold, R. (2012). Selected reaction monitoring-based proteomics: Workflows, potential, pitfalls and future directions. Nature Methods,9, 555–566. doi:10.1038/nmeth.2015.
38. Porcu, P., et al. (2004). Circulating tissue kallikrein levels correlate with severity of carotid atherosclerosis. Arteriosclerosis, Thrombosis, and Vascular Biology,24, 1104–1110. doi:10.1161/01.ATV.0000128126.57688.a9.
39. Posada-Ayala, M., et al. (2013). Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease. Kidney International,. doi:10.1038/ki.2013.328.
40. Rein, P., Saely, C. H., Vonbank, A., Fraunberger, P., & Drexel, H. (2014). Impact of the albumin to creatinine ratio and the coronary artery state on vascular events. American Journal of Cardiology,113, 1616–1620. doi:10.1016/j.amjcard.2014.02.017.
41. Rhee, E. P., & Gerszten, R. E. (2012). Metabolomics and cardiovascular biomarker discovery. Clinical Chemistry,58, 139–147. doi:10.1373/clinchem.2011.169573.
42. Roger, V. L. (2011). Outcomes research and epidemiology: The synergy between public health and clinical practice. Circulation: Cardiovascular Quality and Outcomes,4, 257–259. doi:10.1161/CIRCOUTCOMES.111.961524.
43. Sharma, J. N., & Sharma, J. (2002). Cardiovascular properties of the kallikrein-kinin system. Current Medical Research and Opinion,18, 10–17.
44. Shevchenko, A., Wilm, M., Vorm, O., & Mann, M. (1996). Mass spectrometric sequencing of proteins silver-stained polyacrylamide gels. Analytical Chemistry,68, 850–858.
45. Szuldrzynski, K., Zalewski, J., Machnik, A., & Zmudka, K. (2010). Elevated levels of 8-iso-prostaglandin F2alpha in acute coronary syndromes are associated with systemic and local platelet activation. Polskie Archiwum Medycyny Wewnetrznej,120, 19–24.
46. Teul, J., et al. (2009). Improving metabolite knowledge in stable atherosclerosis patients by association and correlation of GC-MS and 1H NMR fingerprints. Journal of Proteome Research,8, 5580–5589. doi:10.1021/pr900668v.
47. Tulpan, D., Leger, S., Belliveau, L., Culf, A., & Cuperlovic-Culf, M. (2011). MetaboHunter: An automatic approach for identification of metabolites from 1H-NMR spectra of complex mixtures. BMC Bioinformatics,12, 400. doi:10.1186/1471-2105-12-400.
48. Wagner, N. M., Bierhansl, L., Noldge-Schomburg, G., Vollmar, B., & Roesner, J. P. (2013). Toll-like receptor 2-blocking antibodies promote angiogenesis and induce ERK1/2 and AKT signaling via CXCR4 in endothelial cells. Arteriosclerosis, Thrombosis, and Vascular Biology,33, 1943–1951. doi:10.1161/ATVBAHA.113.301783.
49. Wyss, M., & Kaddurah-Daouk, R. (2000). Creatine and creatinine metabolism. Physiological Reviews,80, 1107–1213.
50. Xia, J., Mandal, R., Sinelnikov, I. V., Broadhurst, D., & Wishart, D. S. (2012). MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis. Nucleic Acids Research,40, W127–W133. doi:10.1093/nar/gks374.
51. Xia, J., Psychogios, N., Young, N., & Wishart, D. S. (2009). MetaboAnalyst: A web server for metabolomic data analysis and interpretation. Nucleic Acids Research,37, W652–W660. doi:10.1093/nar/gkp356.
52. Yao, Y. Y., Yin, H., Shen, B., Chao, L., & Chao, J. (2007). Tissue kallikrein infusion prevents cardiomyocyte apoptosis, inflammation and ventricular remodeling after myocardial infarction. Regulatory Peptides,140, 12–20. doi:10.1016/j.regpep.2006.11.020.
53. Yap, I. K., et al. (2010). Metabolome-wide association study identifies multiple biomarkers that discriminate north and south Chinese populations at differing risks of cardiovascular disease: INTERMAP study. Journal of Proteome Research,9, 6647–6654. doi:10.1021/pr100798r.
54. Zhang, F., et al. (2009). Metabonomics study of atherosclerosis rats by ultra fast liquid chromatography coupled with ion trap-time of flight mass spectrometry. Talanta,79, 836–844. doi:10.1016/j.talanta.2009.05.010.