Abstract
Gout and hyperuricemia are highly prevalent metabolic diseases caused by high level of uric acid. Amino acids (AAs) involve in various biochemical processes including the biosynthesis of uric acid. However, the role of AAs in discriminating gout from hyperuricemia remains unknown. Here, we report that the plasma AAs profile can distinguish acute gout (AG) from asymptomatic hyperuricemia (AHU). We established an LC–MS/MS-based method to measure the plasma AAs without derivatization for the AG and AHU patients, and healthy controls. We found that the plasma profiling of AAs separated the AG patients from AHU patients and controls visually in both principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA) models. In addition, l-isoleucine, l-lysine, and l-alanine were suggested as the key mediators to distinguish the AG patients from AHU and control groups based on the S-plot analysis and variable importance in the projection values in the OPLS-DA models, volcano plot, and the receiver operating characteristic curves. In addition, the saturation of monosodium urate in the AA solutions at physiologically mimic status supported the changes in plasma AAs facilitating the precipitation of monosodium urate. This study suggests that l-isoleucine, l-lysine, and l-alanine could be the potential markers to distinguish the AG from AHU when the patients have similar blood levels of uric acid, providing new strategies for the prevention, treatment, and management of acute gout.
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Abbreviations
- AA:
-
Amino acid
- ACN:
-
Acetonitrile
- AG:
-
Acute attack of gout, and acute gout
- AHU:
-
Asymptomatic hyperuricemia
- ESI:
-
Electrospray ionization
- MeOH:
-
Methanol
- PCA:
-
Principal component analysis
- OPLS-DA:
-
Orthogonal partial least-squares discriminant analysis
- MSU:
-
Monosodium urate
- UA:
-
Uric acid
- LOD:
-
Limit of detection
- LOQ:
-
Limit of quantitation
- DP:
-
Declustering potential
- CE:
-
Collision energy
- CXP:
-
Collision cell exit potential
- SUS:
-
Shared and unique structures
- VIP:
-
Variable importance in the projection
- ROC:
-
Receiver operating characteristic
References
Aung T, Myung G, FitzGerald JD (2017) Treatment approaches and adherence to urate-lowering therapy for patients with gout. Patient Pref Adherence 11:795–800
Baggott JE, Gorman GS, Tamura T (2007) 13C enrichment of carbons 2 and 8 of purine by folate-dependent reactions after [13C]formate and [2-13C]glycine dosing in adult humans. Metabolism 56:708–715
Bang DH, Xu JF, Keenan RT, Pike VC, Lehmann RA, Tenner C et al (2016) Cardiovascular disease prevalence in patients with osteoarthritis, gout, or both. Bull Hosp Jt Dis 74:113–118
Borghi C, Rodriguez-Artalejo F, De Backer G, Dallongeville J, Medina J, Nuevo J et al (2018) Serum uric acid levels are associated with cardiovascular risk score: a post hoc analysis of the EURIKA study. Int J Cardiol 253:167–173
Carpenter J, Bithell J (2000) Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Stat Med 19:1141–1164
Chen YZ, Tang ZZ, Huang ZY, Zhou WW, Li ZY, Li XP et al (2017) The prevalence of gout in mainland China from 2000 to 2016: a systematic review and meta-analysis. J Public Health-Heid 25:521–529
Chen YY, Kao TW, Yang HF, Chou CW, Wu CJ, Lai CH et al (2018) The association of uric acid with the risk of metabolic syndrome, arterial hypertension or diabetes in young subjects—an observational study. Clin Chim Acta 478:68–73
Conijn NFL, Hoorn EJ, Muradin GS, Kok MR, Vis M (2016) Asymptomatic gout in chronic kidney disease: prevalence study using dual energy CT and ultrasound. Ann Rheum Dis 75:369
Dugelay S, Chauvin MF, Megnin-Chanet F, Martin G, Lareal MC, Lhoste JM et al (1999) Acetate stimulates flux through the tricarboxylic acid cycle in rabbit renal proximal tubules synthesizing glutamine from alanine: a C-13 NMR study. Biochem J 342:555–566
Farres M, Platikanov S, Tsakovski S, Tauler R (2015) Comparison of the variable importance in projection (VIP) and of the selectivity ratio (SR) methods for variable selection and interpretation. J Chemom 29:528–536
Favilla S, Durante C, Vigni ML, Cocchi M (2013) Assessing feature relevance in NPLS models by VIP. Chemom Intell Lab 129:76–86
Feig DI, Kang DH, Johnson RJ (2008) Uric acid and cardiovascular risk. N Engl J Med 359:1811–1821
Felig P (1973) The glucose-alanine cycle. Metabolism 22:179–207
Fouad M, Fathy H, Zidan A (2016) Serum uric acid and its association with hypertension, early nephropathy and chronic kidney disease in type 2 diabetic patients. J Bras Nefrol 38:403–410
George C, Minter DA (2018) Hyperuricemia. StatPearls, Treasure Island
Guasch-Ferre M, Hruby A, Toledo E, Clish CB, Martinez-Gonzalez MA, Salas-Salvado J et al (2016) Metabolomics in prediabetes and diabetes: a systematic review and meta-analysis. Diabetes Care 39:833–846
Hannawi S, AlSalmi I, Moller I, Naredo E (2017) Uric acid is independent cardiovascular risk factor, as manifested by increased carotid intima-media thickness in rheumatoid arthritis patients. Clin Rheumatol 36:1897–1902
Hensgens HE, Meijer AJ (1980) Inhibition of urea-cycle activity by high concentrations of alanine. Biochem J 186:1–4
Holecek M (2001) The BCAA-BCKA cycle: its relation to alanine and glutamine synthesis and protein balance. Nutrition 17:70
Hsieh YP, Chang CC, Yang Y, Wen YK, Chiu PF, Lin CC (2017) The role of uric acid in chronic kidney disease patients. Nephrology (Carlton) 22:441–448
Johnston RB, Henderson L, Henderson MC (1978) Modulation of activity of alanine racemase from B-subtilis by intermediates of citric-acid cycle and their analogs. Fed Proc 37:1426
King C, Lanaspa MA, Jensen T, Tolan DR, Sanchez-Lozada LG, Johnson RJ (2018) Uric acid as a cause of the metabolic syndrome. Contrib Nephrol 192:88–102
Kuo CF, Grainge MJ, Zhang W, Doherty M (2015) Global epidemiology of gout: prevalence, incidence and risk factors. Nat Rev Rheumatol 11:649
Li X, Song P, Li J, Wang P, Li G (2015) Relationship between hyperuricemia and dietary risk factors in Chinese adults: a cross-sectional study. Rheumatol Int 35:2079–2089
Liu H, Zhang XM, Wang YL, Liu BC (2014) Prevalence of hyperuricemia among Chinese adults: a national cross-sectional survey using multistage, stratified sampling. J Nephrol 27:653–658
Liu XY, Luo Y, Zhou CY, Peng A, Liu JY (2017) A sensitive and accurate method to simultaneously measure uric acid and creatinine in human saliva by using LC–MS/MS. Bioanalysis 9:1751–1760
Mahbub MH, Yamaguchi N, Takahashi H, Hase R, Amano H, Kobayashi-Miura M et al (2017a) Alteration in plasma free amino acid levels and its association with gout. Environ Health Prev 22:7
Mahbub MH, Yamaguchi N, Takahashi H, Hase R, Ishimaru Y, Sunagawa H et al (2017b) Association of plasma free amino acids with hyperuricemia in relation to diabetes mellitus, dyslipidemia, hypertension and metabolic syndrome. Sci Rep 7:17616
Miao Z, Li C, Chen Y, Zhao S, Wang Y, Wang Z et al (2008) Dietary and lifestyle changes associated with high prevalence of hyperuricemia and gout in the Shandong coastal cities of Eastern China. J Rheumatol 35:1859–1864
Mok Y, Lee SJ, Kim MS, Cui W, Moon YM, Jee SH (2012) Serum uric acid and chronic kidney disease: the Severance cohort study. Nephrol Dial Transplant 27:1831–1835
Mook-Kanamori DO, Romisch-Margl W, Kastenmuller G, Prehn C, Petersen AK, Illig T et al (2014) Increased amino acids levels and the risk of developing of hypertriglyceridemia in a 7-year follow-up. J Endocrinol Investig 37:369–374
Neogi T, Jansen TLTA, Dalbeth N, Fransen J, Schumacher HR, Berendsen D et al (2015) 2015 Gout classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann Rheum Dis 74:1789–1798
Qiu L, Cheng XQ, Wu J, Liu JT, Xu T, Ding HT et al (2013) Prevalence of hyperuricemia and its related risk factors in healthy adults from Northern and Northeastern Chinese provinces. BMC Public Health 13:664
Rai SK, Avina-Zubieta JA, McCormick N, De Vera M, Shojania K, Sayre EC et al (2015) Rising incidence and prevalence of gout in the Canadian General Population. Arthritis Rheumatol 67:292
Rai SK, Avina-Zubieta JA, McCormick N, De Vera MA, Shojania K, Sayre EC et al (2017) The rising prevalence and incidence of gout in British Columbia, Canada: population-based trends from 2000 to 2012. Semin Arthritis Rheum 46:451–456
Richette P, Bardin T (2010) Gout. Lancet 375:318–328
Richette P, Perez-Ruiz F, Doherty M, Jansen TL, Nuki G, Pascual E et al (2014) Improving cardiovascular and renal outcomes in gout: what should we target? Nat Rev Rheumatol 10:654–661
Rocha M, Licausi F, Araujo WL, Nunes-Nesi A, Sodek L, Fernie AR et al (2010) Glycolysis and the tricarboxylic acid cycle are linked by alanine aminotransferase during hypoxia induced by waterlogging of Lotus japonicus. Plant Physiol 152:1501–1513
Villegas R, Xiang YB, Cai Q, Fazio S, Linton M, Li H et al (2010) Prevalence and determinants of hyperuricemia in middle-aged, urban Chinese men. Metab Syndr Relat Disord 8:263–270
Wurtz P, Soininen P, Kangas AJ, Ronnemaa T, Lehtimaki T, Kahonen M et al (2013) Branched-chain and aromatic amino acids are predictors of insulin resistance in young adults. Diabetes Care 36:648–655
Zhang M, Chang H, Gao Y, Wang X, Xu W, Liu D et al (2012) Major dietary patterns and risk of asymptomatic hyperuricemia in Chinese adults. J Nutr Sci Vitaminol (Tokyo) 58:339–345
Acknowledgements
This study was supported NSFC Grant 81470588 (J.-Y. L.). The authors would like to thank all the patients and healthy volunteers for the participation in this study.
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The authors complied with the World Medical Association Declaration of Helsinki regarding the ethical conduct of research involving in human subjects. This study and the associated protocols for sample collection were approved by the Ethics Committee of Shanghai Tenth People’s Hospital (SHSY-IEC-KY-4.0/17–60/01).
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Luo, Y., Wang, L., Liu, XY. et al. Plasma profiling of amino acids distinguishes acute gout from asymptomatic hyperuricemia. Amino Acids 50, 1539–1548 (2018). https://doi.org/10.1007/s00726-018-2627-2
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DOI: https://doi.org/10.1007/s00726-018-2627-2