| References: | 1.Rodríguez-Rodero, S.; Fernández-Morera, J.L.; Menéndez-Torre, E.; Calvanese, V.; Fernández, A.F.; Fraga, M.F.Aging genetics and aging.Aging Dis.2011,2, 186–195. [PubMed]2.Bürkle, A.; Moreno-Villanueva, M.; Bernhard, J.; Blasco, M.; Zondag, G.; Hoeijmakers, J.H.J.; Toussaint, O.;Grubeck-Loebenstein, B.; Mocchegiani, E.; Collino, S.; et al. MARK-AGE biomarkers of ageing.Mech. Ageing Dev.2015,151, 2–12. [CrossRef] [PubMed]3.Adams, J.M.; White, M. Biological ageing: A fundamental, biological link between socio-economic statusand health?Eur. J. Public Health2004,14, 331–334. [CrossRef] [PubMed]4.Niccoli, T.; Partridge, L. Ageing as a risk factor for disease.Curr. Biol.2012,22, R741–R752. [CrossRef][PubMed]5.Hulbert, A.J.; Pamplona, R.; Buffenstein, R.; Buttemer, W.A. Life and death: Metabolic rate, membranecomposition, and life span of animals.Physiol. Rev.2007,87, 1175–1213. [CrossRef] [PubMed]6.Valdes, A.M.; Glass, D.; Spector, T.D. Omics technologies and the study of human ageing.Nat. Rev. Genet.2013,14, 601–607. [CrossRef] [PubMed]7.Sebastiani, P.; Thyagarajan, B.; Sun, F.; Schupf, N.; Newman, A.B.; Montano, M.; Perls, T.T. Biomarkersignatures of aging.Aging Cell2017,16, 329–338. [CrossRef] [PubMed]8.Sprott, R.L. Biomarkers of aging and disease: Introduction and definitions.Exp. Gerontol.2010,45, 2–4.[CrossRef] [PubMed]9.Deelen, J.; Beekman, M.; Capri, M.; Franceschi, C.; Slagboom, P.E. Identifying the genomic determinants of agingand longevity in human population studies: Progress and challenges.BioEssays News Rev. Mol. Cell. Dev. Biol.2013,35, 386–396. [CrossRef] [PubMed]10.Mäkinen, V.-P.; Ala-Korpela, M. Metabolomics of aging requires large-scale longitudinal studies withreplication.Proc. Natl. Acad. Sci. USA2016,113, E3470. [CrossRef] [PubMed]11.Yu, Z.; Zhai, G.; Singmann, P.; He, Y.; Xu, T.; Prehn, C.; Römisch-Margl, W.; Lattka, E.; Gieger, C.; Soranzo, N.; et al.Human serum metabolic profiles are age dependent.Aging Cell2012,11, 960–967. [CrossRef] [PubMed]12.Du, F.; Virtue, A.; Wang, H.; Yang, X.-F. Metabolomic analyses for atherosclerosis, diabetes, and obesity.Biomark. Res.2013,1, 17. [CrossRef] [PubMed]13.Sharman, A.; Zhumadilov, Z.The Scientific Basis for Healthy Aging and Antiaging Process; Mary Ann Liebert, Inc.:New York, NY, USA, 2011.14.Kristal, B.S.; Shurubor, Y.I. Metabolomics: Opening another window into aging.Sci. Aging Knowl. Environ. Sage Ke2005,2005, pe19. [CrossRef] [PubMed]15.Jové, M.; Maté, I.; Naudí, A.; Mota-Martorell, N.; Portero-Otín, M.; de La Fuente, M.; Pamplona, R. Humanaging is a metabolome-related matter of gender.J. Gerontol. Ser. A Biol. Sci. Med. Sci.2016,71, 578–585.[CrossRef] [PubMed]16.Roberts, L.D.; Souza, A.L.; Gerszten, R.E.; Clish, C.B. Targeted metabolomics.Curr. Protoc. Mol. Biol.2012,98, 1–24. [CrossRef] [PubMed]17.Wang-Sattler, R.; Yu, Z.; Herder, C.; Messias, A.C.; Floegel, A.; He, Y.; Heim, K.; Campillos, M.; Holzapfel, C.;Thorand, B.; et al. Novel biomarkers for pre-diabetes identified by metabolomics.Mol. Syst. Biol.2012,8, 615.[CrossRef] [PubMed]18.Zhang, A.; Sun, H.; Xu, H.; Qiu, S.; Wang, X. Cell metabolomics.Omics J. Integr. Biol.2013,17, 495–501.[CrossRef] [PubMed]19.Slupsky, C.M.; Rankin, K.N.; Wagner, J.; Fu, H.; Chang, D.; Weljie, A.M.; Saude, E.J.; Lix, B.; Adamko, D.J.;Shah, S.; et al. Investigations of the effects of gender, diurnal variation, and age in human urinarymetabolomic profiles.Anal. Chem.2007,79, 6995–7004. [CrossRef] [PubMed]20.Lawton, K.A.; Berger, A.; Mitchell, M.; Milgram, K.E.; Evans, A.M.; Guo, L.; Hanson, R.W.; Kalhan, S.C.;Ryals, J.A.; Milburn, M.V. Analysis of the adult human plasma metabolome.Pharmacogenomics2008,9,383–397. [CrossRef] [PubMed]21.Psihogios, N.G.; Gazi, I.F.; Elisaf, M.S.; Seferiadis, K.I.; Bairaktari, E.T. Gender-related and age-relatedurinalysis of healthy subjects by NMR-based metabonomics.Nmr Biomed.2008,21, 195–207. [CrossRef][PubMed]22.D’Adamo, P.; Ulivi, S.; Beneduci, A.; Pontoni, G.; Capasso, G.; Lanzara, C.; Andrighetto, G.; Hladnik, U.;Nunes, V.; Palacin, M.; et al. Metabonomics and population studies: Age-related amino acids excretion and nferring networks through the study of urine samples in two Italian isolated populations.Amino Acids2010,38, 65–73. [CrossRef] [PubMed]23.Menni, C.; Kastenmüller, G.; Petersen, A.K.; Bell, J.T.; Psatha, M.; Tsai, P.-C.; Gieger, C.; Schulz, H.; Erte, I.;John, S.; et al. Metabolomic markers reveal novel pathways of ageing and early development in humanpopulations.Int. J. Epidemiol.2013,42, 1111–1119. [CrossRef] [PubMed]24.Lee, S.H.; Park, S.; Kim, H.-S.; Jung, B.H. Metabolomic approaches to the normal aging process.Metabolomics2014,10, 1268–1292. [CrossRef]25.Sedlmeier, A.; Kluttig, A.; Giegling, I.; Prehn, C.; Adamski, J.; Kastenmüller, G.; Lacruz, M.E. The humanmetabolic profile reflects macro- and micronutrient intake distinctly according to fasting time.Sci. Rep.2018,8, 12262. [CrossRef] [PubMed]26.Thompson, D.K.; Sloane, R.; Bain, J.R.; Stevens, R.D.; Newgard, C.B.; Pieper, C.F.; Kraus, V.B. Daily variationof serum acylcarnitines and amino acids.Metabolomics2012,8, 556–565. [CrossRef] [PubMed]27.Krug, S.; Kastenmüller, G.; Stückler, F.; Rist, M.J.; Skurk, T.; Sailer, M.; Raffler, J.; Römisch-Margl, W.;Adamski, J.; Prehn, C.; et al. The dynamic range of the human metabolome revealed by challenges.Faseb J. Off. Publ. Fed. Am. Soc. Exp. Biol.2012,26, 2607–2619. [CrossRef] [PubMed]28.Mittelstrass, K.; Ried, J.S.; Yu, Z.; Krumsiek, J.; Gieger, C.; Prehn, C.; Roemisch-Margl, W.; Polonikov, A.;Peters, A.; Theis, F.J.; et al. Discovery of sexual dimorphisms in metabolic and genetic biomarkers.PLoS Genet.2011,7, e1002215. [CrossRef] [PubMed]29.Trabado, S.; Al-Salameh, A.; Croixmarie, V.; Masson, P.; Corruble, E.; Fève, B.; Colle, R.; Ripoll, L.; Walther, B.;Boursier-Neyret, C.; et al. The human plasma-metabolome: Reference values in 800 French healthyvolunteers; impact of cholesterol, gender and age.PLoS ONE2017,12, e0173615. [CrossRef] [PubMed]30.Maeba, R.; Maeda, T.; Kinoshita, M.; Takao, K.; Takenaka, H.; Kusano, J.; Yoshimura, N.; Takeoka, Y.;Yasuda, D.; Okazaki, T.; et al. Plasmalogens in human serum positively correlate with high-densitylipoprotein and decrease with aging.J. Atheroscler. Thromb.2007,14, 12–18. [CrossRef] [PubMed]31.Mauvais-Jarvis, F. Sex differences in metabolic homeostasis, diabetes, and obesity.Biol. Sex Differ.2015,6, 14.[CrossRef] [PubMed]32.Auro, K.; Joensuu, A.; Fischer, K.; Kettunen, J.; Salo, P.; Mattsson, H.; Niironen, M.; Kaprio, J.; Eriksson, J.G.;Lehtimäki, T.; et al. A metabolic view on menopause and ageing.Nat. Commun.2014,5, 4708. [CrossRef][PubMed]33.Ke, C.; Hou, Y.; Zhang, H.; Yang, K.; Wang, J.; Guo, B.; Zhang, F.; Li, H.; Zhou, X.; Li, Y.; et al. Plasmametabolic profiles in women are menopause dependent.PLoS ONE2015,10, e0141743. [CrossRef] [PubMed]34.Minois, N. Molecular basis of the ‘anti-aging’ effect of spermidine and other natural polyamines-amini-review.Gerontology2014,60, 319–326. [CrossRef] [PubMed]35.Santhanam, L.; Christianson, D.W.; Nyhan, D.; Berkowitz, D.E. Arginase and vascular aging.J. Appl. Physiol.2008,105, 1632–1642. [CrossRef] [PubMed]36.Yang, Z.; Ming, X.-F. Arginase: The emerging therapeutic target for vascular oxidative stress and inflammation.Front. Immunol.2013,4, 149. [CrossRef] [PubMed]37.Tao, Y.; Liu, X.J. Deficiency of ovarian ornithine decarboxylase contributes to aging-related egg aneuploidyin mice.Aging Cell2013,12, 42–49. [CrossRef] [PubMed]38.Aichler, M.; Borgmann, D.; Krumsiek, J.; Buck, A.; MacDonald, P.E.; Fox, J.E.M.; Lyon, J.; Light, P.E.;Keipert, S.; Jastroch, M.; et al. N-acyl taurines and acylcarnitines cause an imbalance in insulin synthesisand secretion provokingβcell dysfunction in type 2 diabetes.Cell Metab.2017,25, 1334–1347.e4. [CrossRef][PubMed]39.Mirisola, M.G.; Taormina, G.; Fabrizio, P.; Wei, M.; Hu, J.; Longo, V.D. Serine-and threonine/valine-dependentactivation of PDK and Tor orthologs converge on Sch9 to promote aging.PLoS Genet.2014,10, e1004113.[CrossRef] [PubMed]40.Gamella-Pozuelo, L.; Grande, M.T.; Clemente-Lorenzo, M.; Murillo-Gómez, C.; de Pablo, F.;López-Novoa, J.M.; Hernández-Sánchez, C. Tyrosine hydroxylase haploinsufficiency prevents age-associatedarterial pressure elevation and increases half-life in mice.Biochim. Biophys. Acta Mol. Basis Dis.2017,1863,113–120. [CrossRef] [PubMed]41.Hertel, J.; Friedrich, N.; Wittfeld, K.; Pietzner, M.; Budde, K.; van der Auwera, S.; Lohmann, T.; Teumer, A.;Völzke, H.; Nauck, M.; et al. Measuring biological age via metabonomics: The metabolic age score.J. Proteome Res.2016,15, 400–410. [CrossRef] [PubMed]
42.Rotter, M.; Brandmaier, S.; Covic, M.; Burek, K.; Hertel, J.; Troll, M.; Bader, E.; Adam, J.; Prehn, C.; Rathkolb, B.; et al.Night shift work affects urine metabolite profiles of nurses with early chronotype.Metabolites2018,8, 45.[CrossRef] [PubMed]43.Meisinger, C.; Stöckl, D.; Rückert, I.M.; Döring, A.; Thorand, B.; Heier, M.; Huth, C.; Belcredi, P.; Kowall, B.;Rathmann, W. Serum potassium is associated with prediabetes and newly diagnosed diabetes in hypertensiveadults from the general population: The KORA F4-study.Diabetologia2013,56, 484–491. [CrossRef] [PubMed]44.Xu, T.; Brandmaier, S.; Messias, A.C.; Herder, C.; Draisma, H.H.M.; Demirkan, A.; Yu, Z.; Ried, J.S.; Haller, T.;Heier, M.; et al. Effects of metformin on metabolite profiles and LDL cholesterol in patients with type 2diabetes.Diabetes Care2015,38, 1858–1867. [CrossRef] [PubMed]45.Greiser, K.H.; Kluttig, A.; Schumann, B.; Kors, J.A.; Swenne, C.A.; Kuss, O.; Werdan, K.; Haerting, J.Cardiovascular disease, risk factors and heart rate variability in the elderly general population: Design andobjectives of the CARdiovascular disease, living and ageing in halle (CARLA) study.BMC Cardiovasc. Disord.2005,5, 33. [CrossRef] [PubMed]46.Lacruz, M.E.; Kluttig, A.; Tiller, D.; Medenwald, D.; Giegling, I.; Rujescu, D.; Prehn, C.; Adamski, J.; Frantz, S.;Greiser, K.H.; et al. Cardiovascular risk factors associated with blood metabolite concentrations and theiralterations during a 4-year period in a population-based cohort.Circ. Cardiovasc. Genet.2016,9, 487–494.[CrossRef] [PubMed]47.Römisch-Margl, W.; Prehn, C.; Bogumil, R.; Röhring, C.; Suhre, K.; Adamski, J. Procedure for tissue samplepreparation and metabolite extraction for high-throughput targeted metabolomics.Metabolomics2012,8,133–142. [CrossRef]48.Zukunft, S.; Sorgenfrei, M.; Prehn, C.; Möller, G.; Adamski, J. Targeted metabolomics of dried blood spotextracts.Chromatographia2013,76, 1295–1305. [CrossRef]49.Nakamura, E.; Miyao, K. Sex differences in human biological aging.J. Gerontol. Ser. A Biol. Sci. Med. Sci.2008,63, 936–944. [CrossRef]50.Ostan, R.; Monti, D.; Gueresi, P.; Bussolotto, M.; Franceschi, C.; Baggio, G. Gender, aging and longevityin humans: An update of an intriguing/neglected scenario paving the way to a gender-specific medicine.Clin. Sci. (Lond.)2016,130, 1711–1725. [CrossRef] [PubMed]. |
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