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The degree of independent contribution of amino acids to pathogenesis and the clinical applicability of individual amino acid metabolites have not been fully studied. Combined profiles and amino acid ratios, reflecting the early manifestations of metabolic pathologies, demonstrate the greatest potential. Amino acid profiling is considered a promising research tool that requires further validation, standardization, and clarification of its mechanisms before possible implementation in routine clinical practice.<\/jats:p>","DOI":"10.18097\/pbmcr1671","type":"journal-article","created":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T12:12:51Z","timestamp":1788869571000},"page":"241-254","source":"Crossref","is-referenced-by-count":0,"title":["The amino acid profile in metabolic syndrome and related conditions: a review"],"prefix":"10.18097","volume":"72","author":[{"given":"D.S.","family":"Provotorov","sequence":"first","affiliation":[{"name":"Federal Research Centre \u201cKarelian Research Centre of the Russian Academy of Sciences\u201d, Center for Medical and Biological Research, Petrozavodsk, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.L.","family":"Rendakov","sequence":"additional","affiliation":[{"name":"Federal Research Centre \u201cKarelian Research Centre of the Russian Academy of Sciences\u201d, Center for Medical and Biological Research, Petrozavodsk, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.A.","family":"Lysenko","sequence":"additional","affiliation":[{"name":"Federal Research Centre \u201cKarelian Research Centre of the Russian Academy of Sciences\u201d, Center for Medical and Biological Research, Petrozavodsk, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7443","published-online":{"date-parts":[[2026]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","unstructured":"Mychka V.B., Chazova I.E. (2009) Metabolic syndrome. Systemic Hypertension, 1, 50\u201353.","DOI":"10.26442\/SG33062"},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"Grundy S.M., Cleeman J.I., Daniels S.R., Donato K.A., Eckel R.H., Franklin B.A., Gordon D.J., Krauss R.M., Savage P.J., Smith S.C. Jr., Spertus J.A., Costa F.; American Heart Association; National Heart, Lung, and Blood Institute (2005) Diagnosis and management of the metabolic syndrome: an American Heart Association\/ National Heart, Lung, and Blood Institute scientific statement. Circulation, 112(17), 2735\u20132752.","DOI":"10.1161\/CIRCULATIONAHA.105.169404"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"Eckel R.H., Grundy S.M., Zimmet P.Z. (2005) The metabolic syndrome. Lancet, 365(9468), 1415\u20131428.","DOI":"10.1016\/S0140-6736(05)66378-7"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"Kosmas C.E., Bousvarou M.D., Kostara C.E., Papakonstantinou E.J., Salamou E., Guzman E. (2023) Insulin resistance and cardiovascular disease. J. Int. Med. Res., 51(3), 3000605231164548.","DOI":"10.1177\/03000605231164548"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"Jauhiainen R., Vangipurapu J., Laakso A., Kuulasmaa T., Kuusisto J., Laakso M. (2021) The association of 9 amino acids with cardiovascular events in Finnish men in a 12-year follow-up study. J. Clin. Endocrinol. Metab., 106(12), 3448\u20133454.","DOI":"10.1210\/clinem\/dgab562"},{"key":"ref6","doi-asserted-by":"publisher","unstructured":"Zuo Z., Tong Y., Li M., Wang Z., Wang X., Guo X., Sun Y., Zhang Z. (2023) Effect of genetically determined BCAA levels on cardiovascular diseases and their risk factors: a Mendelian randomization study. Nutr. Metab. Cardiovasc. Dis., 33(12), 2406\u20132412.","DOI":"10.1016\/j.numecd.2023.08.003"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"Wild S., Roglic G., Green A., Sicree R., King H. (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care, 27(5), 1047\u20131053.","DOI":"10.2337\/diacare.27.5.1047"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"DeFronzo R.A., Ferrannini E. (1991) Insulin resistance. A multifaceted syndrome responsible for NIDDM, obesity, hypertension, dyslipidemia, and atherosclerotic cardiovascular disease. Diabetes Care, 14(3), 173\u2013194.","DOI":"10.2337\/diacare.14.3.173"},{"key":"ref9","doi-asserted-by":"publisher","unstructured":"Jensen M.D., Haymond M.W., Rizza R.A., Cryer P.E., Miles J.M. (1989) Influence of body fat distribution on free fatty acid metabolism in obesity. J. Clin. Invest., 83(4), 1168\u20131173.","DOI":"10.1172\/JCI113997"},{"key":"ref10","doi-asserted-by":"publisher","unstructured":"Bor\u00e9n J., Taskinen M.-R., Olofsson S.-O., Levin M. (2013) Ectopic lipid storage and insulin resistance: a harmful relationship. J. Intern. Med., 274(1), 25\u201340.","DOI":"10.1111\/joim.12071"},{"key":"ref11","doi-asserted-by":"publisher","unstructured":"di Meo S., Iossa S., Venditti P. (2017) Skeletal muscle insulin resistance: role of mitochondria and other ROS sources. J. Endocrinol., 233(1), R15\u2013R42.","DOI":"10.1530\/JOE-16-0598"},{"key":"ref12","doi-asserted-by":"publisher","unstructured":"Felig P., Marliss E., Cahill G.F. Jr. (1969) Plasma amino acid levels and insulin secretion in obesity. N. Engl. J. Med., 281(15), 811\u2013816.","DOI":"10.1056\/NEJM196910092811503"},{"key":"ref13","doi-asserted-by":"publisher","unstructured":"Anfinsen \u00c5.M., Johannesen C.O., Myklebust V.H., Rosendahl-Riise H., McCann A., Nyg\u00e5rd O.K., Dierkes J., Lysne V. (2024) Time-resolved concentrations of serum amino acids, one-carbon metabolites and B-vitamin biomarkers during the postprandial and fasting state: the Postprandial Metabolism in Healthy Young Adults (PoMet) study. Br. J. Nutr., 131(5), 786\u2013800.","DOI":"10.1017\/S0007114523002490"},{"key":"ref14","doi-asserted-by":"publisher","unstructured":"Sivritepe R., Basat S.U., G\u00f6kmen N., Duygu A., Siyer \u00d6.K., Tiril S.M. (2025) Could urinary amino acids be as new biomarkers for detection of sarcopenia? Bratisl. Med. J., 126(1), 41\u201353.","DOI":"10.1007\/s44411-024-00009-0"},{"key":"ref15","doi-asserted-by":"publisher","unstructured":"Newsholme P., Bender K., Kiely A., Brennan L. (2007) Amino acid metabolism, insulin secretion and diabetes. Biochem. Soci. Trans., 35(Pt 5), 1180\u20131186.","DOI":"10.1042\/BST0351180"},{"key":"ref16","doi-asserted-by":"publisher","unstructured":"Guasch-Ferr\u00e9 M., Hruby A., Toledo E., Clish C.B., Mart\u00ednez-Gonz\u00e1lez M.A., Salas-Salvad\u00f3 J., Hu F.B. (2016) Metabolomics in prediabetes and diabetes: a systematic review and meta-analysis. Diabetes Care, 39(5), 833\u2013846.","DOI":"10.2337\/dc15-2251"},{"key":"ref17","doi-asserted-by":"publisher","unstructured":"Krebs M., Krssak M., Bernroider E., Anderwald C., Brehm A., Meyerspeer M., Nowotny P., Roth E., Waldh\u00e4usl W., Roden M. (2002) Mechanism of amino acidinduced skeletal muscle insulin resistance in humans. Diabetes, 51(3), 599\u2013605.","DOI":"10.2337\/diabetes.51.3.599"},{"key":"ref18","doi-asserted-by":"publisher","unstructured":"Siomkaj\u0142o M., Rybka J., Mierzcha\u0142a-Pasierb M., Gamian A., Stankiewicz-Olczyk J., Bolanowski M., Daroszewski J. (2017) Specific plasma amino acid disturbances associated with metabolic syndrome. Endocrine, 58(3), 553\u2013562.","DOI":"10.1007\/s12020-017-1460-9"},{"key":"ref19","doi-asserted-by":"publisher","unstructured":"Batch B.C., Shah S.H., Newgard C.B., Turer C.B., Haynes C., Bain J.R., Muehlbauer M., Patel M.J., Stevens R.D., Appel L.J., Newby L.K., Svetkey L.P. (2013) Branched-chain amino acids are novel biomarkers for discrimination of metabolic wellness. Metabolism, 62(7), 961\u2013969.","DOI":"10.1016\/j.metabol.2013.01.007"},{"key":"ref20","doi-asserted-by":"publisher","unstructured":"Shao M., Lu H., Yang M., Liu Y., Yin P., Li G., Wang Y., Chen L., Chen Q., Zhao C., Lu Q., Wu T., Ji G. (2020) Serum and urine metabolomics reveal potential biomarkers of T2DM patients with nephropathy. Ann. Transl. Med., 8(5), 199.","DOI":"10.21037\/atm.2020.01.42"},{"key":"ref21","doi-asserted-by":"publisher","unstructured":"Calvani R., Picca A., Rodriguez-Ma\u00f1as L., Tosato M., Coelho-J\u00fanior H.J., Biancolillo A., Laosa O., Gervasoni J., Primiano A., Santucci L., Giampaoli O., Bourdel-Marchasson I., Regueme S.C., Sinclair A.J., Urbani A., Landi F., Gambassi G., Marini F., Marzetti E. (2023) Amino acid profiles in older adults with frailty: secondary analysis from MetaboFrail and BIOSPHERE studies. Metabolites, 13(4), 542.","DOI":"10.3390\/metabo13040542"},{"key":"ref22","doi-asserted-by":"publisher","unstructured":"Bidi S., Reshma D.C., Srinivas B., Sharma P., Sankanagoudar S. (2020) Comparison of urinary amino acid excretory pattern in patients with type 2 diabetes mellitus and non-diabetic healthy controls at a tertiary referral hospital in India. Diabetes Metab. Syndr., 14(4), 357\u2013362.","DOI":"10.1016\/j.dsx.2020.04.006"},{"key":"ref23","doi-asserted-by":"publisher","unstructured":"Scicchitano B.M., Sica G. (2018) The beneficial effects of taurine to counteract sarcopenia. Curr. Protein Pept. Sci., 19(7), 673\u2013680.","DOI":"10.2174\/1389203718666161122113609"},{"key":"ref24","doi-asserted-by":"publisher","unstructured":"Morze J., Wittenbecher C., Schwingshackl L., Danielewicz A., Rynkiewicz A., Hu F.B., Guasch-Ferr\u00e9 M. (2022) Metabolomics and type 2 diabetes risk: an updated systematic review and meta-analysis of prospective cohort studies. Diabetes Care, 45(4), 1013\u20131024.","DOI":"10.2337\/dc21-1705"},{"key":"ref25","doi-asserted-by":"publisher","unstructured":"Silbernagl S. (1988) The renal handling of amino acids and oligopeptides. Physiol. Rev., 68(3), 911\u20131007.","DOI":"10.1152\/physrev.1988.68.3.911"},{"key":"ref26","doi-asserted-by":"publisher","unstructured":"Mogos M., Socaciu C., Socaciu A.I., Vlad A., Gadalean F., Bob F., Milas O., Cretu O.M., Suteanu-Simulescu A., Glavan M., Ienciu S., Balint L., Jianu D.C., Petrica L. (2023) Metabolomic investigation of blood and urinary amino acids and derivatives in patients with type 2 diabetes mellitus and early diabetic kidney disease. Biomedicines, 11(6), 1527.","DOI":"10.3390\/biomedicines11061527"},{"key":"ref27","unstructured":"Bokova T.A. (2013) The metabolic syndrome in children: resolved and unresolved questions of ethiopathogenesis (review of literature). Experimental and Clinical Gastroenterology, 1, 68\u201373."},{"key":"ref28","unstructured":"Shishkin A.N., Stroev Yu.I., Churilov L.P., Levitina E.V., Lukina E.V., Kononova Yu.A. (2009) Classic and modern concepts of the metabolic syndrome. Part III. Prevention and treatment. Vestnik of Saint Petersburg University. Series 11. Medicine, 3, 24\u201337."},{"key":"ref29","doi-asserted-by":"publisher","unstructured":"Kuzmina A.V. (2020) Nutritional support for patients with chronic kidney disease at pre-dialysis stages. Terapevticheskii Arkhiv, 92(6), 117\u2013123.","DOI":"10.26442\/00403660.2020.06.000353"},{"key":"ref30","doi-asserted-by":"publisher","unstructured":"Mikhailova N.A. (2021) The value of a low-protein diet and ketoanalogues of essential amino acids in the control of protein carbamylation and toxic effects of urea in chronic kidney disease. Terapevticheskii Arkhiv, 93(6), 729\u2013735.","DOI":"10.26442\/00403660.2021.06.200915"},{"key":"ref31","doi-asserted-by":"publisher","unstructured":"Boytsov S.A., Strazhesko I.D., Akasheva D.U., Dudinskaya E.N., Kruglikova A.S., Tkacheva O.N. (2013) Insulin resistance: good or bad? Development mechanisms and the association with age-related vascular changes. Cardiovascular Therapy and Prevention, 12(4), 91\u201397.","DOI":"10.15829\/1728-8800-2013-4-91-97"},{"key":"ref32","doi-asserted-by":"publisher","unstructured":"W\u00fcrtz P., Soininen P., Kangas A.J., R\u00f6nnemaa T., Lehtim\u00e4ki T., K\u00e4h\u00f6nen M., Viikari J.S., Raitakari O.T., Ala-Korpela M. (2013) Branched-chain and aromatic amino acids are predictors of insulin resistance in young adults. Diabetes Care, 36(3), 648\u2013655.","DOI":"10.2337\/dc12-0895"},{"key":"ref33","doi-asserted-by":"publisher","unstructured":"Abbasi F., Brown B.W. Jr., Lamendola C., McLaughlin T., Reaven G.M. (2002) Relationship between obesity, insulin resistance, and coronary heart disease risk. J. Am. Coll. Cardiol., 40(5), 937\u2013943.","DOI":"10.1016\/s0735-1097(02)02051-x"},{"key":"ref34","doi-asserted-by":"publisher","unstructured":"Lee J., Ma S., Heng D., Tan C.-E., Chew S.-K., Hughes K., Tai E-S. (2007) Should central obesity be an optional or essential component of the metabolic syndrome? Ischemic heart disease risk in the Singapore Cardiovascular Cohort Study. Diabetes Care, 30(2), 343\u2013347.","DOI":"10.2337\/dc06-1866"},{"key":"ref35","doi-asserted-by":"publisher","unstructured":"Chevalier S., Marliss E.B., Morais J.A., Lamarche M., Gougeon R. (2005) Whole-body protein anabolic response is resistant to the action of insulin in obese women. Am. J. Clin. Nutr., 82(2), 355\u2013365.","DOI":"10.1093\/ajcn.82.2.355"},{"key":"ref36","doi-asserted-by":"publisher","unstructured":"Pereira S., Marliss E.B., Morais J.A., Chevalier S., Gougeon R. (2008) Insulin resistance of protein metabolism in type 2 diabetes. Diabetes, 57(1), 56\u201363.","DOI":"10.2337\/db07-0887"},{"key":"ref37","doi-asserted-by":"publisher","unstructured":"Newgard C.B., An J., Bain J.R., Muehlbauer M.J., Stevens R.D., Lien L.F., Haqq A.M., Shah S.H., Arlotto M., Slentz C.A., Rochon J., Gallup D., Ilkayeva O.,Wenner B.R., Yancy W.S. Jr., Eisenson H., Musante G., Surwit R.S., Millington D.S., Butler M.D., Svetkey L.P. (2009) A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab., 9(4), 311\u2013326.","DOI":"10.1016\/j.cmet.2009.02.002"},{"key":"ref38","doi-asserted-by":"publisher","unstructured":"Tai E.S., Tan M.L., Stevens R.D., Low Y.L., Muehlbauer M.J., Goh D.L., Ilkayeva O.R., Wenner B.R., Bain J.R., Lee J.J., Lim S.C., Khoo C.M., Shah S.H., Newgard C.B. (2010) Insulin resistance is associated with a metabolic profile of altered protein metabolism in Chinese and Asian\u2013Indian men. Diabetologia, 53(4), 757\u2013767.","DOI":"10.1007\/s00125-009-1637-8"},{"key":"ref39","doi-asserted-by":"publisher","unstructured":"Haffner S.M., Valdez R.A., Hazuda H.P., Mitchell B.D., Morales P.A., Stern M.P. (1992) Prospective analysis of the insulin-resistance syndrome (syndrome X). Diabetes, 41(6), 715\u2013722.","DOI":"10.2337\/diab.41.6.715"},{"key":"ref40","doi-asserted-by":"publisher","unstructured":"Sung K.-C., Seo M.-H., Rhee E.-J., Wilson A.M. (2011) Elevated fasting insulin predicts the future incidence of metabolic syndrome: a 5-year follow-up study. Cardiovasc. Diabetol., 10, 108.","DOI":"10.1186\/1475-2840-10-108"},{"key":"ref41","doi-asserted-by":"publisher","unstructured":"Shlyakhto E.V., Nedogoda S.V., Babenko A.Yu., Arutyunov G.P., Drapkina O.M., Kobalava Zh.D., Konradi A.O., Lopatin Yu.M., Villevalde S.V., Zvartau N.E., Rotar O.P., Grineva E.N. (2025) Concept of an interdisciplinary consensus document on cardiovascular-renal-hepatic-metabolic syndrome. Russian Journal of Cardiology, 30(1S), 6533.","DOI":"10.15829\/1560-4071-2025-6533"},{"key":"ref42","doi-asserted-by":"publisher","unstructured":"Reddy P., Leong J., Jialal I. (2018) Amino acid levels in nascent metabolic syndrome: a contributor to the pro-inflammatory burden. J. Diabetes Complications, 32(5), 465\u2013469.","DOI":"10.1016\/j.jdiacomp.2018.02.005"},{"key":"ref43","doi-asserted-by":"publisher","unstructured":"Rivas-Tumanyan S., Pacheco L.S., Haslam D.E., Morou-Bermudez E., Liang L., Tucker K.L., Joshipura K.J., Bhupathiraju S.N. (2024) Branched-chain and aromatic amino acids, type 2 diabetes, and cardiometabolic risk factors among Puerto Rican adults. Nutrients, 16(15), 2562.","DOI":"10.3390\/nu16152562"},{"key":"ref44","doi-asserted-by":"publisher","unstructured":"Bingham C., Ellard S., Nicholls A.J., Pennock C.A., Allen J., James A.J., Satchell S.C., Salzmann M.B., Hattersley A.T. (2001) The generalized aminoaciduria seen in patients with hepatocyte nuclear factor-1\u03b1 mutations is a feature of all patients with diabetes and is associated with glucosuria. Diabetes, 50(9), 2047\u20132052.","DOI":"10.2337\/diabetes.50.9.2047"},{"key":"ref45","doi-asserted-by":"publisher","unstructured":"Seibert R., Abbasi F., Hantash F.M., Caulfield M.P., Reaven G., Kim S.H. (2015) Relationship between insulin resistance and amino acids in women and men. Physiol. Rep., 3(5), e12392.","DOI":"10.14814\/phy2.12392"},{"key":"ref46","doi-asserted-by":"publisher","unstructured":"Gall W.E., Beebe K., Lawton K.A., Adam K.-P., Mitchell M.W., Nakhle P.J., Ryals J.A., Milburn M.V., Nannipieri M., Camastra S., Natali A., Ferrannini E.; RISC Study Group (2010) \u03b1-Hydroxybutyrate is an early biomarker of insulin resistance and glucose intolerance in a nondiabetic population. PLOS One, 5(5), e10883.","DOI":"10.1371\/journal.pone.0010883"},{"key":"ref47","doi-asserted-by":"publisher","unstructured":"de Luca G., Calpona P.R., Caponetti A., Romano G., di Benedetto A., Cucinotta D., di Giorgio R.M. (2001) Taurine and osmoregulation: platelet taurine content, uptake, and release in type 2 diabetic patients. Metabolism, 50(1), 60\u201364.","DOI":"10.1053\/meta.2001.19432"},{"key":"ref48","doi-asserted-by":"publisher","unstructured":"Merheb M., Daher R.T., Nasrallah M., Sabra R., Ziyadeh F.N., Barada K. (2007) Taurine intestinal absorption and renal excretion test in diabetic patients: a pilot study. Diabetes Care, 30(10), 2652\u20132654.","DOI":"10.2337\/dc07-0872"},{"key":"ref49","doi-asserted-by":"publisher","unstructured":"Ito T., Schaffer S.W., Azuma J. (2012) The potential usefulness of taurine on diabetes mellitus and its complications. Amino Acids, 42(5), 1529\u20131539.","DOI":"10.1007\/s00726-011-0883-5"},{"key":"ref50","doi-asserted-by":"publisher","unstructured":"Lynch C.J., Adams S.H. (2014) Branched-chain amino acids in metabolic signalling and insulin resistance. Nat. Rev. Endocrinol., 10(12), 723\u2013736.","DOI":"10.1038\/nrendo.2014.171"},{"key":"ref51","doi-asserted-by":"publisher","unstructured":"Lotta L.A., Scott R.A., Sharp S.J., Burgess S., Luan J., Tillin T., Schmidt A.F., Imamura F., Stewart I.D., Perry J.R.B., Marney L., Koulman A., Karoly E.D., Forouhi N.G., Sj\u00f6gren R.J.O., N\u00e4slund E., Zierath J.R., Krook A., Savage D.B., Griffin J.L., Chaturvedi N., Hingorani A.D., Khaw K.-T., Barroso I., McCarthy M.I., O'Rahilly S., Wareham N.J., Langenberg C. (2016) Genetic predisposition to an impaired metabolism of the branched-chain amino acids and risk of type 2 diabetes: a Mendelian randomisation analysis. PLOS Medicine, 13(11), e1002179.","DOI":"10.1371\/journal.pmed.1002179"},{"key":"ref52","doi-asserted-by":"publisher","unstructured":"Wang Q., Holmes M.V., Davey Smith G., Ala-Korpela M. (2017) Genetic support for a causal role of insulin resistance on circulating branched-chain amino acids and inflammation. Diabetes Care, 40(12), 1779\u20131786.","DOI":"10.2337\/dc17-1642"},{"key":"ref53","doi-asserted-by":"publisher","unstructured":"Newgard C.B. (2012) Interplay between lipids and branched-chain amino acids in development of insulin resistance. Cell Metab., 15(5), 606\u2013614.","DOI":"10.1016\/j.cmet.2012.01.024"},{"key":"ref54","doi-asserted-by":"publisher","unstructured":"Wang T.J., Larson M.G., Vasan R.S., Cheng S., Rhee E.P., McCabe E., Lewis G.D., Fox C.S., Jacques P.F., Fernandez C., O'Donnell C.J., Carr S.A., Mootha V.K., Florez J.C., Souza A., Melander O., Clish C.B., Gerszten R.E. (2011) Metabolite profiles and the risk of developing diabetes. Nat. Med., 17(4), 448\u2013453.","DOI":"10.1038\/nm.2307"},{"key":"ref55","doi-asserted-by":"publisher","unstructured":"Yoon M.-S. (2016) The emerging role of branched-chain amino acids in insulin resistance and metabolism. Nutrients, 8(7), 405.","DOI":"10.3390\/nu8070405"},{"key":"ref56","doi-asserted-by":"publisher","unstructured":"Giesbertz P., Daniel H. (2016) Branched-chain amino acids as biomarkers in diabetes. Curr. Opin. Clin. Nutr. Metab. Care, 19(1), 48\u201354.","DOI":"10.1097\/MCO.0000000000000235"},{"key":"ref57","doi-asserted-by":"publisher","unstructured":"Adams S.H. (2011) Emerging perspectives on essential amino acid metabolism in obesity and the insulin-resistant state. Adv. Nutr., 2(6), 445\u2013456.","DOI":"10.3945\/an.111.000737"},{"key":"ref58","doi-asserted-by":"publisher","unstructured":"Cansev M., Wurtman R.J. (2007) Aromatic amino acids in the brain. In: Handbook of Neurochemistry and Molecular Neurobiology: Amino Acids and Peptides in the Nervous System (Lajtha A., Oja S.S., Schousboe A., Saransaari P., eds.), Springer US, USA, pp. 59\u201397.","DOI":"10.1007\/978-0-387-30373-4_4"},{"key":"ref59","doi-asserted-by":"publisher","unstructured":"Fernstrom J.D. (2013) Large neutral amino acids: dietary effects on brain neurochemistry and function. Amino Acids, 45(3), 419\u2013430.","DOI":"10.1007\/s00726-012-1330-y"},{"key":"ref60","doi-asserted-by":"publisher","unstructured":"Xie W.,Wood A.R., Lyssenko V., Weedon M.N., Knowles J.W., Alkayyali S., Assimes T.L., Quertermous T., Abbasi F., Paananen J., H\u00e4ring H., Hansen T., Pedersen O., Smith U., Laakso M.; MAGIC Investigators; DIAGRAM Consortium; GENESIS Consortium; RISC Consortium; Dekker J.M., Nolan J.J., Groop L., Ferrannini E., Adam K.-P., Gall W.E., Frayling T.M.,Walker M. (2013) Genetic variants associated with glycine metabolism and their role in insulin sensitivity and type 2 diabetes. Diabetes, 62(6), 2141\u20132150.","DOI":"10.2337\/db12-0876"},{"key":"ref61","doi-asserted-by":"publisher","unstructured":"Huang X.-T., Li C., Peng X.-P., Guo J., Yue S.-J., Liu W., Zhao F.-Y., Han J.-Z., Huang Y.-H., Li Y., Cheng Q.-M., Zhou Z.-G., Chen C., Feng D.-D., Luo Z.-Q. (2017) An excessive increase in glutamate contributes to glucose-toxicity in \u03b2-cells via activation of pancreatic NMDA receptors in rodent diabetes. Sci. Rep., 7, 44120.","DOI":"10.1038\/srep44120"},{"key":"ref62","doi-asserted-by":"publisher","unstructured":"Liu X., Zheng Y., Guasch-Ferr\u00e9 M., Ruiz-Canela M., Toledo E., Clish C., Liang L., Razquin C., Corella D., Estruch R., Fito M., G\u00f3mez-Gracia E., Ar\u00f3s F., Ros E., Lapetra J., Fiol M., Serra-Majem L., Papandreou C., Mart\u00ednez-Gonz\u00e1lez M.A., Hu F.B., Salas-Salvad\u00f3 J. (2019) High plasma glutamate and low glutamine-to-glutamate ratio are associated with type 2 diabetes: case-cohort study within the PREDIMED trial. Nutr. Metab. Cardiovasc. Dis., 29(10), 1040\u20131049.","DOI":"10.1016\/j.numecd.2019.06.005"},{"key":"ref63","doi-asserted-by":"publisher","unstructured":"Wang T.J., Ngo D., Psychogios N., Dejam A., Larson M.G., Vasan R.S., Ghorbani A., O'Sullivan J., Cheng S., Rhee E.P., Sinha S., McCabe E., Fox C.S., O'Donnell C.J., Ho J.E., Florez J.C., Magnusson M., Pierce K.A., Souza A.L., Yu Y., Carter C., Light P.E., Melander O., Clish C.B., Gerszten R.E. (2013) 2-aminoadipic acid is a biomarker for diabetes risk. J. Clin. Invest., 123(10), 4309\u20134317.","DOI":"10.1172\/JCI64801"},{"key":"ref64","doi-asserted-by":"publisher","unstructured":"Soleimani M. (2015) Insulin resistance and hypertension: new insights. Kidney Int., 87(3), 497\u2013499.","DOI":"10.1038\/ki.2014.392"},{"key":"ref65","doi-asserted-by":"publisher","unstructured":"Toney M.D. (2014) Aspartate aminotransferase: an old dog teaches new tricks. Arch. Biochem. Biophys., 544, 119\u2013127.","DOI":"10.1016\/j.abb.2013.10.002"},{"key":"ref66","doi-asserted-by":"publisher","unstructured":"Danese E., Montagnana M. (2016) An historical approach to the diagnostic biomarkers of acute coronary syndrome. Ann. Transl. Med., 4(10), 194.","DOI":"10.21037\/atm.2016.05.19"},{"key":"ref67","doi-asserted-by":"publisher","unstructured":"Ndrepepa G. (2021) Aspartate aminotransferase and cardiovascular disease \u2014 a narrative review. J. Lab. Precis. Med., 6, 6.","DOI":"10.21037\/jlpm-20-93"},{"key":"ref68","doi-asserted-by":"publisher","unstructured":"Salimi Z., Aminnezhad Kavkani B., Allahyari P., Askarpour S.A., Mahmoudi Z., Torkaman M., Hoseini M.S.M., Mousavi Z., Tajadod S., Valisoltani N., Khoshdooz S., Doaei S., Kooshki A., Gholamalizadeh M. (2024) Branched-chain amino acids and the risk of hypertension: a Persian cohort-based study. BMC Cardiovasc. Disord., 24, 397.","DOI":"10.1186\/s12872-024-04045-0"},{"key":"ref69","doi-asserted-by":"publisher","unstructured":"Yamaguchi N., Mahbub M.H., Takahashi H., Hase R., Ishimaru Y., Sunagawa H., Amano H., Kobayashi-Miura M., Kanda H., Fujita Y., Yamamoto H., Yamamoto M., Kikuchi S., Ikeda A., Takasu M., Kageyama N., Nakamura M., Tanabe T. (2017) Plasma free amino acid profiles evaluate risk of metabolic syndrome, diabetes, dyslipidemia, and hypertension in a large Asian population. Environ. Health Prev. Med., 22, 35.","DOI":"10.1186\/s12199-017-0642-7"},{"key":"ref70","doi-asserted-by":"publisher","unstructured":"Flores-Guerrero J.L., Groothof D., Connelly M.A., Otvos J.D., Bakker S.J.L., Dullaart R.P.F. (2019) Concentration of branched-chain amino acids is a strong risk marker for incident hypertension. Hypertension, 74(6), 1428\u20131435.","DOI":"10.1161\/HYPERTENSIONAHA.119.13735"},{"key":"ref71","doi-asserted-by":"publisher","unstructured":"Yu B., Li A.H., Muzny D., Veeraraghavan N., de Vries P.S., Bis J.C., Musani S.K., Alexander D., Morrison A.C., Franco O.H., Uitterlinden A., Hofman A., Dehghan A., Wilson J.G., Psaty B.M., Gibbs R., Wei P., Boerwinkle E. (2015) Association of rare loss-of-function alleles in HAL, serum histidine levels and incident coronary heart disease. Circ. Cardiovasc. Genet., 8(2), 351\u2013355.","DOI":"10.1161\/CIRCGENETICS.114.000697"},{"key":"ref72","doi-asserted-by":"publisher","unstructured":"Martin M., Deussen A. (2019) Effects of natural peptides from food proteins on angiotensin converting enzyme activity and hypertension. Crit. Rev. Food Sci. Nutr., 59(8), 1264\u20131283.","DOI":"10.1080\/10408398.2017.1402750"},{"key":"ref73","doi-asserted-by":"publisher","unstructured":"Doestzada M., Zhernakova D.V., van den Munckhof I.C.L., Wang D., Kurilshikov A., Chen L., Bloks V.W., van Faassen M., Rutten J.H.W., Joosten L.A.B., Netea M.G., Wijmenga C., Riksen N.P., Zhernakova A., Kuipers F., Fu J. (2022) Systematic analysis of relationships between plasma branched-chain amino acid concentrations and cardiometabolic parameters: an association and Mendelian randomization study. BMC Med., 20, 485.","DOI":"10.1186\/s12916-022-02688-4"},{"key":"ref74","doi-asserted-by":"publisher","unstructured":"Jennings A., MacGregor A., Pallister T., Spector T., Cassidy A. (2016) Associations between branched chain amino acid intake and biomarkers of adiposity and cardiometabolic health independent of genetic factors: a twin study. Int. J. Cardiol., 223, 992\u2013998.","DOI":"10.1016\/j.ijcard.2016.08.307"},{"key":"ref75","doi-asserted-by":"publisher","unstructured":"Nemet I., Saha P.P., Gupta N., Zhu W., Romano K.A., Skye S.M., Cajka T., Mohan M.L., Li L.,Wu Y., Funabashi M., Ramer-Tait A.E., Naga Prasad S.V., Fiehn O., Rey F.E., Tang W.H.W., Fischbach M.A., DiDonato J.A., Hazen S.L. (2020) A cardiovascular disease-linked gut microbial metabolite acts via adrenergic receptors. Cell, 180(5), 862\u2013877.e22.","DOI":"10.1016\/j.cell.2020.02.016"},{"key":"ref76","doi-asserted-by":"publisher","unstructured":"W\u00fcrtz P., Raiko J.R., Magnussen C.G., Soininen P., Kangas A.J., Tynkkynen T., Thomson R., Laatikainen R., Savolainen M.J., Laurikka J., Kuukasj\u00e4rvi P., Tarkka M., Karhunen P.J., Jula A., Viikari J.S., K\u00e4h\u00f6nen M., Lehtim\u00e4ki T., Juonala M., Ala-Korpela M., Raitakari O.T. (2012) High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis. Eur. Heart J., 33(18), 2307\u20132316.","DOI":"10.1093\/eurheartj\/ehs020"},{"key":"ref77","unstructured":"Peterson J.W., Boldogh I., Popov V.L., Saini S.S., Chopra A.K. (1998) Anti-inflammatory and antisecretory potential of histidine in Salmonella-challenged mouse small intestine. Lab. Invest., 78(5), 523\u2013534."},{"key":"ref78","doi-asserted-by":"publisher","unstructured":"Watanabe M., Suliman M.E., Qureshi A.R., Garcia-Lopez E., B\u00e1r\u00e1ny P., Heimb\u00fcrger O., Stenvinkel P., Lindholm B. (2008) Consequences of low plasma histidine in chronic kidney disease patients: associations with inflammation, oxidative stress, and mortality. Am. J. Clin. Nutr., 87(6), 1860\u20131866.","DOI":"10.1093\/ajcn\/87.6.1860"},{"key":"ref79","doi-asserted-by":"publisher","unstructured":"Gerber D.A. (1975) Low free serum histidine concentration in rheumatoid arthritis. A measure of disease activity. J. Clin. Invest., 55(6), 1164\u20131173.","DOI":"10.1172\/JCI108033"},{"key":"ref80","doi-asserted-by":"publisher","unstructured":"Willerson J.T., Ridker P.M. (2004) Inflammation as a cardiovascular risk factor. Circulation, 109(21 Suppl. 1), II2\u2013II10.","DOI":"10.1161\/01.CIR.0000129535.04194.38"},{"key":"ref81","doi-asserted-by":"publisher","unstructured":"Tousoulis D., Antoniades C., Stefanadis C. (2007) Assessing inflammatory status in cardiovascular disease. Heart, 93(8), 1001\u20131007.","DOI":"10.1136\/hrt.2006.088211"},{"key":"ref82","doi-asserted-by":"publisher","unstructured":"Lee H., Jang H.B., Yoo M.-G., Park S.I., Lee H.-J. (2020) Amino acid metabolites associated with chronic kidney disease: an eight-year follow-up Korean epidemiology study. Biomedicines, 8(7), 222.","DOI":"10.3390\/biomedicines8070222"},{"key":"ref83","doi-asserted-by":"publisher","unstructured":"Posada-Ayala M., Zubiri I., Martin-Lorenzo M., Sanz-Maroto A., Molero D., Gonzalez-Calero L., Fernandez-Fernandez B., de la Cuesta F., Laborde C.M., Barderas M.G., Ortiz A., Vivanco F., Alvarez-Llamas G. (2014) Identification of a urine metabolomic signature in patients with advanced-stage chronic kidney disease. Kidney Int., 85(1), 103\u2013111.","DOI":"10.1038\/ki.2013.328"},{"key":"ref84","doi-asserted-by":"publisher","unstructured":"Berg A.H., Drechsler C., Wenger J., Buccafusca R., Hod T., Kalim S., Ramma W., Parikh S.M., Steen H., Friedman D.J., Danziger J., Wanner C., Thadhani R., Karumanchi S.A. (2013) Carbamylation of serum albumin as a risk factor for mortality in patients with kidney failure. Sci. Transl. Med., 5(175), 175ra29.","DOI":"10.1126\/scitranslmed.3005218"},{"key":"ref85","doi-asserted-by":"publisher","unstructured":"Goek O.-N., Prehn C., Sekula P., R\u00f6misch-Margl W., D\u00f6ring A., Gieger C., Heier M., Koenig W.,Wang-Sattler R., Illig T., Suhre K., Adamski J., K\u00f6ttgen A., Meisinger C. (2013) Metabolites associate with kidney function decline and incident chronic kidney disease in the general population. Nephrol. Dial. Transplant., 28(8), 2131\u20132138.","DOI":"10.1093\/ndt\/gft217"},{"key":"ref86","doi-asserted-by":"publisher","unstructured":"Rhee E.P., Clish C.B., Ghorbani A., Larson M.G., Elmariah S., McCabe E., Yang Q., Cheng S., Pierce K., Deik A., Souza A.L., Farrell L., Domos C., Yeh R.W., Palacios I., Rosenfield K., Vasan R.S., Florez J.C.,Wang T.J., Fox C.S., Gerszten R.E. (2013) A combined epidemiologic and metabolomic approach improves CKD prediction. J. Am. Soc. Nephrol., 24(8), 1330\u20131338.","DOI":"10.1681\/ASN.2012101006"},{"key":"ref87","doi-asserted-by":"publisher","unstructured":"Suliman M.E., Qureshi A.R., Stenvinkel P., Pecoits-Filho R., B\u00e1r\u00e1ny P., Heimb\u00fcrger O., Anderstam B., Rodr\u00edguezAyala E., Divino Filho J.C., Alvestrand A., Lindholm B. (2005) Inflammation contributes to low plasma amino acid concentrations in patients with chronic kidney disease. Am. J. Clin. Nutr., 82(2), 342\u2013349.","DOI":"10.1093\/ajcn.82.2.342"},{"key":"ref88","doi-asserted-by":"publisher","unstructured":"Koh J.H., Lee E.S., Hyun M., Kim H.M., Choi Y.J., Lee E.Y., Yadav D., Chung C.H. (2014) Taurine alleviates the progression of diabetic nephropathy in type 2 diabetic rat model. Int. J. Endocrinol., 2014, 397307.","DOI":"10.1155\/2014\/397307"},{"key":"ref89","doi-asserted-by":"publisher","unstructured":"Wu G., Yang J., Sun C., Luan X., Shi J., Hu J. (2009) Effect of taurine on alcoholic liver disease in rats. Adv. Exp. Med. Biol., 643, 313\u2013322.","DOI":"10.1007\/978-0-387-75681-3_32"},{"key":"ref90","doi-asserted-by":"publisher","unstructured":"Baliou S., Adamaki M., Ioannou P., Pappa A., Panayiotidis M.I., Spandidos D.A., Christodoulou I., Kyriakopoulos A.M., Zoumpourlis V. (2021) Protective role of taurine against oxidative stress (review). Mol. Med. Rep., 24(2), 605.","DOI":"10.3892\/mmr.2021.12242"},{"key":"ref91","doi-asserted-by":"publisher","unstructured":"Hayes K.C., Carey R.E., Schmidt S.Y. (1975) Retinal degeneration associated with taurine deficiency in the cat. Science, 188(4191), 949\u2013951.","DOI":"10.1126\/science.1138364"},{"key":"ref92","doi-asserted-by":"publisher","unstructured":"Pion P.D., Kittleson M.D., Rogers Q.R., Morris J.G. (1987) Myocardial failure in cats associated with low plasma taurine: a reversible cardiomyopathy. Science, 237(4816), 764\u2013768.","DOI":"10.1126\/science.3616607"},{"key":"ref93","doi-asserted-by":"publisher","unstructured":"Qi S., Ouyang X., Wang L., Peng W., Wen J., Dai Y. (2012) A pilot metabolic profiling study in serum of patients with chronic kidney disease based on 1H-NMR-spectroscopy. Clin. Transl. Sci., 5(5), 379\u2013385.","DOI":"10.1111\/j.1752-8062.2012.00437.x"},{"key":"ref94","doi-asserted-by":"publisher","unstructured":"Lin S., Yang J., Wu G., Liu M., Luan X., Lv Q., Zhao H., Hu J. (2010) Preventive effect of taurine on experimental type II diabetic nephropathy. J. Biomed. Sci., 17(Suppl. 1), S46.","DOI":"10.1186\/1423-0127-17-S1-S46"},{"key":"ref95","doi-asserted-by":"publisher","unstructured":"Winiarska K., Szymanski K., Gorniak P., Dudziak M., Bryla J. (2009) Hypoglycaemic, antioxidative and nephroprotective effects of taurine in alloxan diabetic rabbits. Biochimie, 91(2), 261\u2013270.","DOI":"10.1016\/j.biochi.2008.09.006"},{"key":"ref96","doi-asserted-by":"publisher","unstructured":"Hsu C.-N., Tain Y.-L. (2020) Developmental programming and reprogramming of hypertension and kidney disease: impact of tryptophan metabolism. Int. J. Mol. Sci., 21(22), 8705.","DOI":"10.3390\/ijms21228705"},{"key":"ref97","doi-asserted-by":"publisher","unstructured":"Debnath S., Velagapudi C., Redus L., Thameem F., Kasinath B., Hura C.E., Lorenzo C., Abboud H.E., O\u2019Connor J.C. (2017) Tryptophan metabolism in patients with chronic kidney disease secondary to type 2 diabetes: relationship to inflammatory markers. Int. J. Tryptophan Res., 10, 1178646917694600.","DOI":"10.1177\/1178646917694600"},{"key":"ref98","doi-asserted-by":"publisher","unstructured":"Christmas D.M., Potokar J., Davies S.J. (2011) A biological pathway linking inflammation and depression: activation of indoleamine 2,3-dioxygenase. Neuropsychiatr. Dis. Treat., 7, 431\u2013439.","DOI":"10.2147\/NDT.S17573"},{"key":"ref99","doi-asserted-by":"publisher","unstructured":"Stone T.W., Darlington L.G. (2013) The kynurenine pathway as a therapeutic target in cognitive and neurodegenerative disorders. Br. J. Pharmacol., 169(6), 1211\u20131227.","DOI":"10.1111\/bph.12230"},{"key":"ref100","doi-asserted-by":"publisher","unstructured":"Curis E., Nicolis I., Moinard C., Osowska S., Zerrouk N., B\u00e9nazeth S., Cynober L. (2005) Almost all about citrulline in mammals. Amino Acids, 29(3), 177\u2013205.","DOI":"10.1007\/s00726-005-0235-4"},{"key":"ref101","doi-asserted-by":"publisher","unstructured":"Solomonson L.P., Flam B.R., Pendleton L.C., Goodwin B.L., Eichler D.C. (2003) The caveolar nitric oxide synthase\/ arginine regeneration system for NO production in endothelial cells. J. Exp. Biol., 206(12), 2083\u20132087.","DOI":"10.1242\/jeb.00361"},{"key":"ref102","doi-asserted-by":"publisher","unstructured":"Campos K.L., Giovanelli J., Kaufman S. (1995) Characteristics of the nitric oxide synthase-catalyzed conversion of arginine to N-hydroxyarginine, the first oxygenation step in the enzymic synthesis of nitric oxide. J. Biol. Chem., 270(4), 1721\u20131728.","DOI":"10.1074\/jbc.270.4.1721"},{"key":"ref103","doi-asserted-by":"publisher","unstructured":"Shah V.O., Townsend R.R., Feldman H.I., Pappan K.L., Kensicki E., Vander Jagt D.L. (2013) Plasma metabolomic profiles in different stages of CKD. Clin. J. Am. Soc. Nephrol., 8(3), 363\u2013370.","DOI":"10.2215\/CJN.05540512"},{"key":"ref104","doi-asserted-by":"publisher","unstructured":"Duranton F., Lundin U., Gayrard N., Mischak H., Aparicio M., Mourad G., Daur\u00e8s J.-P., Weinberger K.M., Argil\u00e9s A. (2014) Plasma and urinary amino acid metabolomic profiling in patients with different levels of kidney function. Clin. J. Am. Soc. Nephrol., 9(1), 37\u201345.","DOI":"10.2215\/CJN.06000613"},{"key":"ref105","doi-asserted-by":"publisher","unstructured":"P\u00e9rez-Torres I., Ibarra B., Soria-Castro E., Torrico-Lavayen R., Pav\u00f3n N., Diaz-Diaz E., Flores P.L., Infante O., Ba\u00f1os G. (2011) Effect of glycine on the cyclooxygenase pathway of the kidney arachidonic acid metabolism in a rat model of metabolic syndrome. Can. J. Physiol. Pharmacol., 89(12), 899\u2013910.","DOI":"10.1139\/y11-086"},{"key":"ref106","doi-asserted-by":"publisher","unstructured":"Wang Z., Zhang J., Wang L., Li W., Chen L., Li J., Zhao D., Zhang H., Guo X. (2018) Glycine mitigates renal oxidative stress by suppressing Nox4 expression in rats with streptozotocin-induced diabetes. J. Pharmacol. Sci., 137(4), 387\u2013394.","DOI":"10.1016\/j.jphs.2018.08.005"},{"key":"ref107","doi-asserted-by":"publisher","unstructured":"Baines A.D., Shaikh N., Ho P. (1990) Mechanism of perfused kidney cytoprotection by alanine and glycine. Am. J. Physiol., 259(1 Pt 2), F80\u2013F87.","DOI":"10.1152\/ajprenal.1990.259.1.F80"},{"key":"ref108","doi-asserted-by":"publisher","unstructured":"Du Y., Xu B.-J., Deng X., Wu X.-W., Li Y.-J., Wang S.-R., Wang Y.-N., Ji S., Guo M.-Z., Yang D.-Z., Tang D.-Q. (2019) Predictive metabolic signatures for the occurrence and development of diabetic nephropathy and the intervention of Ginkgo biloba leaves extract based on gas or liquid chromatography with mass spectrometry. J. Pharm. Biomed. 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