Skip to main content

A Personalized Life: Biomarker Monitoring from Cradle to Grave

  • Chapter
  • First Online:

Part of the book series: Experientia Supplementum ((EXS,volume 101))

Abstract

Considering the holy grail of future medical treatment being personalized medicines, biomarker research will become more and more the focus for attention not only to develop new medical treatment regimes, based on changes in biomarker patterns, but also for nutritional advice to guarantee a lifelong optimized health condition. The current review gives an outline of how personalized medicine can become established for actual medical treatment using new biomarker concepts. Starting from the development of biomarker research using mainly immunological techniques, the review gives an overview about biomarkers of prediction evolved and focuses on new methodology for the identification of biomarkers using hyphenated analytical techniques like metabolomics and lipidomics. The actual use of multivariate statistical methods in combination with metabolomics and lipidomics is discussed not only for medical treatment but also for precautionary risk identification in human biomonitoring studies.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. McEwen BS, Stellar E (1993) Stress and the individual. Mechanisms leading to disease. Arch Intern Med 153:2093–2101

    Article  PubMed  CAS  Google Scholar 

  2. Shaw KJ, Birch C, Hughes EM, Jakes AD, Greeenman J, Haswell ST (2011) Microsystems for personalized biomolecular diagnostics. Eng Life Sci 2:121–132

    Article  CAS  Google Scholar 

  3. Abelev GI, Perova SD, Khramkova NI, Postnikova ZA, Irlin IS (1963) Production of embryonal α-globulin by transplantable mouse hepatomas. Transplantation 1:174–180

    Article  PubMed  CAS  Google Scholar 

  4. Wide L, Gemzell CA (1960) An immunological pregnancy test. Acta Endocrinol 35:261–267

    PubMed  CAS  Google Scholar 

  5. Yalow RS, Berson SA (1959) Assay of plasma insulin in human subjects by immunological methods. Nature 184(Suppl 21):1648–1649

    Article  PubMed  CAS  Google Scholar 

  6. Thomson DM, Krupey J, Freedman SO, Gold P (1969) The radioimmunoassay of circulating carcinoembryonic antigen off the human digestive system. Proc Natl Acad Sci USA 64:161–167

    Article  PubMed  CAS  Google Scholar 

  7. Homburger HA, Miller SA, Jacob GL (1980) Radioimmunoassay of creatine kinase B-isoenzymes in serum of patients with azotemia, obstructive uropathy, or carcinoma of the prostate or bladder. Clin Chem 26:1821–1824

    PubMed  CAS  Google Scholar 

  8. Eriksson B, Arnberg H, Oberg K, Hellman U, Lundqvist G, Wernstedt C, Wilander E (1990) A polyclonal antiserum against chromogranin A and B―A new sensitive marker for neuroendocrine tumours. Acta Endocrinol 122:145–155

    PubMed  CAS  Google Scholar 

  9. Grebenchtchikov N, Geurts-Moespot AJ, Kroot JJ, den Heijer M, Tjalsma H, Swinkels DW, Sweep FG (2009) High-sensitive radioimmunoassay for human serum hepcidin. Br J Haematol 146:317–325

    Article  PubMed  CAS  Google Scholar 

  10. Mirick DK, Davis S (2008) Melatonin as a biomarker of circadian dysregulation. Cancer Epidemiol Biomarkers Prev 17:3306–3313

    Article  PubMed  CAS  Google Scholar 

  11. Lucato RV Jr, Abdulkader RC, Barbaro KC, Mendes GE, Castro I, Baptista MA, Cury PM, Malheiros DM, Schor N, Yu L, Burdmann EA (2011) Loxosceles gaucho venom-induced acute kidney injury―In vivo and in vitro studies. PloS Negl Trop Dis 5:e1182

    Article  PubMed  Google Scholar 

  12. LaDue JS, Wróblewski F, Karmen A (1954) Serum glutamic oxaloacetic transaminase activity in human acute transmural myocardial infarction. Science 120:497–499

    Article  PubMed  CAS  Google Scholar 

  13. Nissen NI, Ranlov P, Weis-Fogh J (1965) Evaluation of four different serum enzymes in the diagnosis of acute myocardial infarction. Br Heart J 27:520–526

    Article  PubMed  CAS  Google Scholar 

  14. Dreyfus JC, Schapira G, Rasnais J, Scebat L (1960) Serum creatine kinase in the diagnosis of myocardial infarct. (La creatine-kinase sérique dans le diagnostic de l’infarctus myocardique.). Rev Fr Etud Clin Biol 5:386–387

    PubMed  CAS  Google Scholar 

  15. Burger R, Richterich R, Aebi H (1964) The heterogenicity of creatine kinase. Biochem Z 339:305–314

    PubMed  CAS  Google Scholar 

  16. Konttinen A, Somer H (1972) Determination of serum creatine kinase isoenzymes in myocardial infarction. Am J Cardiol 29:817–820

    Article  PubMed  CAS  Google Scholar 

  17. Roberts R, Henry PD, Sobel BE (1975) An improved basis for enzymatic estimation of infarct size. Circulation 52:743–754

    Article  PubMed  CAS  Google Scholar 

  18. Katus HA, Remppis A, Looser S, Hallermeier K, Scheffold T, Kübler W (1989) Enzyme linked immuno assay of cardiac troponin T for the detection of acute myocardial infarction in patients. J Mol Cell Cardiol 21:1349–1353

    Article  PubMed  CAS  Google Scholar 

  19. Wang TJ (2011) Assessing the role of circulating, genetic, and imaging biomarkers in cardiovascular risk prediction. Circulation 123:551–565

    Article  PubMed  Google Scholar 

  20. Fletcher JS, Lockyer NP, Vaidyanathan S, Vickerman JC (2007) TOF-SIMS 3D biomolecular imaging of Xenopus laevis oocytes using buckminsterfullerene (C60) primary ions. Anal Chem 79:2199–2206

    Article  PubMed  CAS  Google Scholar 

  21. Jungnickel H, Jones EA, Lockyer NP, Oliver SG, Stephens GM, Vickerman JC (2005) Application of TOF-SIMS with chemometrics to discriminate between four different yeast strains from the species Candida glabrata and Saccharomyces cerevisiae. Anal Chem 77:1740–1745

    Article  PubMed  CAS  Google Scholar 

  22. Kannel WB, McGee D, Gordon T (1976) A general cardiovascular risk profile: the Framingham Study. Am J Cardiol 38:46–51

    Article  PubMed  CAS  Google Scholar 

  23. D’Agostino RB (2006) Risk prediction and finding new independent prognostic factors. J Hypertens 24:643–645

    Article  PubMed  CAS  Google Scholar 

  24. Zhou XH, Obuchowski NA, McClish DK (2002) Statistical methods in diagnostic medicine. Wiley, New York, NY

    Book  Google Scholar 

  25. Honzík P, Krivan L, Lokaj P, Lábrová R, Nováková Z, Fiser B, Honzíková N (2010) Logit and fuzzy models in data analysis: estimation of risk in cardiac patients. Physiol Res 59(Suppl 1):S89–S96

    PubMed  Google Scholar 

  26. Steyerberg EW, Pencina MJ, Lingsma HF, Kattan MW, Vickers AJ, Van Calster B (2012) Assessing the incremental value of diagnostic and prognostic markers: a review and illustration. Eur J Clin Invest 42:216–228

    Google Scholar 

  27. Zhu H, Zhang Q, Wu DL, Fu S (2008) The value of serum PSA subgroups and biopsy Gleason score in the prediction of pathologic stage of prostate cancer. Tumor 28:613–616

    CAS  Google Scholar 

  28. Lê Cao KA, González I, Déjean S (2009) integrOmics: an R package to unravel relationships between two omics datasets. Bioinformatics 25:2855–2856

    Article  PubMed  CAS  Google Scholar 

  29. Beger RD, Colatsky T (2012) Metabolomics data and the biomarker qualification process. Metabolomics 8:2–7

    Google Scholar 

  30. Danielsson R, Allard E, Sjöberg PJR, Bergquist J (2011) Exploring liquid chromatography-mass spectrometry fingerprints of urine samples from patients with prostate or urinary bladder cancer. Chemom Intellig Lab Syst 108:33–48

    Article  CAS  Google Scholar 

  31. Blamek S, Larysz D, Ficek K, Sokól M, Miszczyk L, Tarnaweski R (2010) MR spectroscopic evaluation of brain tissue damage after treatment for pediatric brain tumors. Acta Neurochir Suppl 106:183–186

    Article  PubMed  Google Scholar 

  32. Lee K, Hwang D, Yarmush ML, Stephanopoulos GN (2002) Metabolic profiling: definition and use in physiological state classification. Engin Med Biol 3:2213–2214

    Google Scholar 

  33. Wang JH, Byun J, Pennathur S (2010) Analytical approaches to metabolomics and applications to systems biology. Semin Nephrol 30:500–511

    Article  PubMed  CAS  Google Scholar 

  34. Smilde AK, van der Werf MJ, Bijlsma S, van der Werff-van der Vat BJC, Jellema RH (2005) Fusion of mass spectrometry-based metabolomics data. Anal Chem 77:6729–6736

    Article  PubMed  CAS  Google Scholar 

  35. Moco S, Bino RJ, De Vos RCH, Vervoort J (2007) Metabolomics technologies and metabolite identification. Trends Anal Chem 26:855–866

    Article  CAS  Google Scholar 

  36. Weinstein JN (2006) Spotlight on molecular profiling: “Integromic” analysis of the NCI-60 cancer cell lines. Mol Cancer Ther 5:2601–2605

    Article  PubMed  CAS  Google Scholar 

  37. Tiziani S, Lopes V, Günther UL (2009) Early stage diagnosis of oral cancer using 1H NMR-based metabolomics. Neoplasia 11:269–276

    PubMed  CAS  Google Scholar 

  38. Shi H, Paolucci U, Vigneau-Callahan KE, Milbury PE, Matson WR, Kristal BS (2004) Development of biomarkers based on diet-dependent metabolic serotypes: practical issues in development of expert system-based classification models in metabolomic studies. OMICS 8:197–208

    Article  PubMed  CAS  Google Scholar 

  39. Vinayavekhin N, Homan EA, Saghatelian A (2010) Exploring disease through metabolomics. ACS Chem Biol 5:91–103

    Article  PubMed  CAS  Google Scholar 

  40. Lu W, Bennett BD, Rabinowitz JD (2008) Analytical strategies for LC-MS-based targeted metabolomics. J Chromatogr B Analyt Technol Biomed Life Sci 871:236–242

    Article  PubMed  CAS  Google Scholar 

  41. Wei R, Li G, Seymour AB (2010) High-throughput and multiplexed LC/MS/MRM method for targeted metabolomics. Anal Chem 82:5527–5533

    Article  PubMed  CAS  Google Scholar 

  42. Zhang GF, Sadhukhan S, Tochtrop GP, Brunengraber H (2011) Metabolomics, pathway regulation, and pathway discovery. J Biol Chem 286:23631–23635

    Article  PubMed  CAS  Google Scholar 

  43. Gonzalez E, van Liempd S, Conde-Vancells J, Gutierrez-de Juan V, Perez-Cormenzana M, Mayo R, Berisa A, Alonso C, Marquez CA, Barr J, Falcon-Perez JM (2011) Serum UPLC-MS/MS metabolic profiling in an experimental model for acute-liver injury reveals potential biomarkers for hepatotoxicity. Metabolomics. doi:10.1007/s11306-011-0329-9

  44. Zhang L, Jia X, Peng X, Ou Q, Zhang Z, Qiu C, Yao Y, Shen F, Yang H, Ma F, Wang J, Yuan Z (2010) Development and validation of a liquid chromatography-mass spectrometry metabolomic platform in human plasma of liver failure caused by hepatitis B virus. Acta Biochim Biophys Sin 42:688–698

    Article  PubMed  CAS  Google Scholar 

  45. Le Gall G, Colquhoun IJ, Defernez M (2004) Metabolite profiling using 1H NMR spectroscopy for quality assessment of green tea, Camellia sinensis (L.). J Agric Food Chem 52:692–700

    Article  PubMed  CAS  Google Scholar 

  46. Lan K, Zhang Y, Yang J, Xu L (2010) Simple quality assessment approach for herbal extracts using high performance liquid chromatography―UV based metabolomics platform. J Chromatogr A 1217:1414–1418

    Article  PubMed  CAS  Google Scholar 

  47. Tiran D (2012) Ginger to reduce nausea and vomiting during pregnancy: evidence of effectiveness is not the same as proof of safety. Complement Ther Clin Pract 18:22–25

    Google Scholar 

  48. Weber W, Luzi S, Karlsson M, Fussenegger M (2009) A novel hybrid dual-channel catalytic-biological sensor system for assessment of fruit quality. J Biotechnol 139:314–317

    Article  PubMed  CAS  Google Scholar 

  49. Tsouti V, Boutopoulos C, Zergioti I, Chatzandroulis S (2011) Capacitive microsystems for biological sensing. Biosens Bioelectron 27:1–11

    Article  PubMed  CAS  Google Scholar 

  50. Ruiz-Aracama A, Peijnenburg A, Kleinjans J, Jennen D, van Delft J, Hellfrisch C, Lommen A (2011) An untargeted multi-technique metabolomics approach to studying intracellular metabolites of HepG2 cells exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin. BMC Genomics 12:251–270

    Article  PubMed  CAS  Google Scholar 

  51. Kusano M, Fukushima A, Arita M, Jonsson P, Moritz T, Kobayashi M, Hayashi N, Tohge T, Saito K (2007) Unbiased characterization of genotype-dependent metabolic regulations by metabolomic approach in Arabidopsis thaliana. BMC Syst Biol 1:53–69

    Article  PubMed  CAS  Google Scholar 

  52. Rijk JC, Lommen A, Essers ML, Groot MJ, Van Hende JM, Doeswijk TG, Nielen MW (2009) Metabolomics approach to anabolic steroid urine profiling of bovines treated with prohormones. Anal Chem 81:6879–6888

    Article  PubMed  CAS  Google Scholar 

  53. Michopoulos F, Theodoridis G, Smith CJ, Wilson ID (2010) Metabolite profiles from dried biofluid spots for metabonomic studies using UPLC combined with oaToF-MS. J Proteome Res 9:3328–3334

    Article  PubMed  CAS  Google Scholar 

  54. Sana TR, Roark JC, Li X, Waddell K, Fischer SM (2008) Molecular formula and METLIN Personal Metabolite Database matching applied to the identification of compounds generated by LC/TOF-MS. J Biomol Tech 19:258–266

    PubMed  Google Scholar 

  55. Melamud E, Vastag L, Rabinowitz JD (2010) Metabolomic analysis and visualization engine for LC-MS data. Anal Chem 82:9818–9826

    Article  PubMed  CAS  Google Scholar 

  56. Ahn SY, Jamshidi N, Mo ML, Wu W, Eraly SA, Dnyanmote A, Bush KT, Gallegos TF, Sweet DH, Palsson BØ, Nigam SK (2011) Linkage of organic anion transporter-1 to metabolic pathways through integrated “omics”-driven network and functional analysis. J Biol Chem 286:31522–31531

    Article  PubMed  CAS  Google Scholar 

  57. Marhuenda-Egea FC, Gonsálvez-Álvarez R, Martínez-Sabater E, Lledó B, Ten J, Bernabeu R (2011) Improving human embryos selection in IVF: non-invasive metabolomic and chemometric approach. Metabolomics 7:247–256

    Article  CAS  Google Scholar 

  58. Thomas C, Moridani M (2011) Cancer vaccines: personalizing health interventions. Curr Pharmacogen Personal Med 9:208–228

    CAS  Google Scholar 

  59. Tweed JA, Gu Z, Xu H, Zhang G, Nouri P, Li M, Steenwyk R (2010) Automated sample preparation for regulated bioanalysis: an integrated multiple assay extraction platform using robotic liquid handling. Bioanalysis 2:1023–1040

    Article  PubMed  CAS  Google Scholar 

  60. Zhang J, Wei S, Ayres DW, Smith HT, Tse FL (2011) An automation-assisted generic approach for biological sample preparation and LC-MS/MS method validation. Bioanalysis 3:1975–1986

    Article  PubMed  CAS  Google Scholar 

  61. Tattersall P, Kubin M, Hussain A (2010) Monitoring GMP compliance in an analytical R&D laboratory by use of a peer-led program. Am Pharm Rev 13:114–119

    Google Scholar 

  62. Schlegel J (2000) Flexible, parameter-controlled nanoliter pipetting on a Tecan xyz platform. J Assoc Lab Autom 5:72–74

    Article  Google Scholar 

  63. Jokerst JV, Chou J, Camp JP, Wong J, Lennart A, Pollard AA, Floriano PN, Christodoulides N, Simmons GW, Zhou Y, Ali MF, McDevitt JT (2011) Location of biomarkers and reagents within agarose beads of a programmable bio-nano-chip. Small 7:613–624

    Article  PubMed  CAS  Google Scholar 

  64. Pagaduan JV, Yang W, Woolley AT (2011) Optimization of monolithic columns for microfluidic devices. In: Proceedings of the conference on micro- and nanotechnology sensors, systems, and applications, Orlando, FL, USA. Proc SPIE Int Soc Optical Eng 8031:artno83311V

    Google Scholar 

  65. Xu Z, Koshimidzu E, Hirokawa T (2009) Electrokinetic sample injection for high-sensitivity CZE (part 2): Improving the quantitative repeatability and application of electrokinetic supercharging-CZE to the detection of atmospheric electrolytes. Electrophoresis 30:3534–3539

    Article  PubMed  CAS  Google Scholar 

  66. Akira K, Mitome H, Imachi M, Shida Y, Miyaoka H, Hashimoto T (2010) LC-NMR identification of a novel taurine-related metabolite observed in 1H NMR-based metabonomics of genetically hypertensive rats. J Pharm Biomed Anal 51:1091–1096

    Article  PubMed  CAS  Google Scholar 

  67. Sun J, Schnackenberg LK, Pence L, Bhattacharyya S, Doerge DR, Bowyer JF, Beger RD (2010) Metabolomic analysis of urine from rats chronically dosed with acrylamide using NMR and LC/MS. Metabolomics 6:550–563

    Article  CAS  Google Scholar 

  68. Capuano E, Fogliano V (2011) Acrylamide and 5-hydroxymethylfurfural (HMF): a review on metabolism, toxicity, occurrence in food an mitigation strategies. LWT Food Sci Technol 44:793–810

    Article  CAS  Google Scholar 

  69. Hasegawa M, Ide M, Kuwamura M, Yamate J, Takenaka S (2010) Metabolic fingerprinting in toxicological assessment using FT-ICR MS. J Toxicol Pathol 23:67–74

    Article  PubMed  CAS  Google Scholar 

  70. Pan X, Wilson M, Mirbahai L, McConville C, Arvanitis TN, Griffin JL, Kauppinen RA, Peet AC (2011) In vitro metabonomic study detects increases in UDP-GlcNAc and UDP-GalNAc, as early phase markers of cisplatin treatment response in brain tumor cells. J Proteome Res 10:3493–3500

    Article  PubMed  CAS  Google Scholar 

  71. Lawrence DM (2010) Healthcare for elders in 2050. Generations 34:82–85

    Google Scholar 

  72. Choi MY, Choi W, Park JH, Lim J, Kwon SW (2010) Determination of coffee origins by integrated metabolomic approach of combining multiple analytical data. Food Chem 121:1260–1268

    Article  CAS  Google Scholar 

  73. Frühwirth R, Mani DR, Pyne S (2011) Clustering with position-specific constraints on variance: applying redescending M-estimators to label-free LC-MS data analysis. BMC Bioinformatics 12:358–370

    Article  PubMed  Google Scholar 

  74. Xia J, Wishart DS (2010) MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data. Nucleic Acids Res 38:W71–W77

    Article  PubMed  CAS  Google Scholar 

  75. Guichardant M, Chen P, Liu M, Calzada C, Colas R, Véricel E, Lagarde M (2011) Functional lipidomics of oxidized products from polyunsaturated fatty acids. Chem Phys Lipids 164:544–548

    Article  PubMed  CAS  Google Scholar 

  76. Bird SS, Marur VR, Sniatynski MJ, Greenberg HK, Kristal BS (2011) Serum lipidomics profiling using LC-MS and high-energy collisional dissociation fragmentation: focus on triglyceride detection and characterization. Anal Chem 83:6648–6657

    Article  PubMed  CAS  Google Scholar 

  77. Fernandis AZ, Wenk MR (2009) Lipid-based biomarkers for cancer. J Chromatogr B Analyt Technol Biomed Life Sci 877:2830–2835

    Article  PubMed  CAS  Google Scholar 

  78. Salem G (2011) Integrated biology: multiple omics. Eur Biopharm Rev 1:46–51

    Google Scholar 

  79. Jung HR, Sylvänne T, Koistinen KM, Tarasov K, Kauhanen D, Ekroos K (2011) High throughput quantitative molecular lipidomics. Biochim Biophys Acta 1811:925–934

    Article  PubMed  CAS  Google Scholar 

  80. Berg JM, Tymoczko JL, Stryer L (2002) Biochemistry. Chap 12: Lipids and cell membranes, 5th edn. WH Freeman, New York, NY

    Google Scholar 

  81. Valluru R, Van den Ende W (2011) Myo-inositol and beyond―emerging networks under stress. Plant Sci 181:387–400

    Article  PubMed  CAS  Google Scholar 

  82. Hilvo M, Denkert C, Lehtinen L, Müller B, Brockmöller S, Seppänen-Laakso T, Budczies J, Bucher E, Yetukuri L, Castillo S, Berg E, Sysi-Aho M, Griffin JL, Fiehn O, Loibl S, Richter-Ehrenstein C, Radke C, Hyötyläinen T, Kallioniemi O, Iljin K, Oresic M (2011) Novel theranostic opportunities offered by characterization of altered membrane lipid metabolism in breast cancer progression. Cancer Res 71:3236–3245

    Article  PubMed  CAS  Google Scholar 

  83. Ringel MD, Hayre N, Saito B, Saunier B, Schuppert F, Burch H, Bernet V, Burman KD, Kohn LD, Saji M (2001) Overexpression and overactivation of Akt in thyroid carcinoma. Cancer Res 61:6105–6111

    PubMed  CAS  Google Scholar 

  84. Yan W, Fu Y, Tian D, Liao J, Liu M, Wang B, Xia L, Zhu Q, Luo M (2009) PI3 kinase/Akt signaling mediates epithelial-mesenchymal transition in hypoxic hepatocellular carcinoma cells. Biochem Biophys Res Commun 382:631–636

    Article  PubMed  CAS  Google Scholar 

  85. Altomare DA, Wang HQ, Skele KL, De RA, Klein-Szanto AJ, Godwin AK, Testa JR (2004) AKT and mTOR phosphorylation is frequently detected in ovarian cancer and can be targeted to disrupt ovarian tumor cell growth. Oncogene 23:5853–5857

    Article  PubMed  CAS  Google Scholar 

  86. Lia Y, Grobholz R, Abel U, Trojan L, Michel MS, Angel P, Mayer D (2003) Increase of AKT/PKB expression correlates with gleason pattern in human prostate cancer. Int J Cancer 107:676–680

    Article  CAS  Google Scholar 

  87. Wang MT, Honn KV, Nie D (2007) Cyclooxygenases, prostanoids, and tumor progression. Cancer Metastasis Rev 26:525–534

    Article  PubMed  CAS  Google Scholar 

  88. Sarkar S, Maceyka M, Hait NC, Paugh SW, Sankala H, Milstien S, Spiegel S (2005) Sphingosine kinase 1 is required for migration, proliferation and survival of MCF-7 human breast cancer cells. FEBS Lett 579:5313–5317

    Article  PubMed  CAS  Google Scholar 

  89. Sutphen R, Xu Y, Wilbanks GD, Fiorica J, Grendys EC Jr, LaPolla JP, Arango H, Hoffman MS, Martino M, Wakeley K, Griffin D, Blanco RW, Cantor AB, Xiao YJ, Krischer JP (2004) Lysophospholipids are potential biomarkers of ovarian cancer. Cancer Epidemiol Biomarkers Prev 13:1185–1191

    PubMed  CAS  Google Scholar 

  90. Meleh M, Pozlep B, Mlakar A, Meden-Vrtovec H, Zupancic-Kralj L (2007) Determination of serum lysophosphatidic acid as a potential biomarker for ovarian cancer. J Chromatogr B Analyt Technol Biomed Life Sci 858:287–291

    Article  PubMed  CAS  Google Scholar 

  91. Mills GB, Eder A, Fang X, Hasegawa Y, Mao M, Lu Y, Tanyi J, Tabassam FH, Wiener J, Lapushin R, Yu S, Parrott JA, Compton T, Tribley W, Fishman D, Stack MS, Gaudette D, Jaffe R, Furui T, Aoki J, Erickson JR (2002) Critical role of lysophospholipids in the pathophysiology, diagnosis, and management of ovarian cancer. Cancer Treat Res 107:259–283

    PubMed  CAS  Google Scholar 

  92. Gschwind A, Prenzel N, Ullrich A (2002) Lysophosphatidic acid-induced squamous cell carcinoma cell proliferation and motility involves epidermal growth factor receptor signal transactivation. Cancer Res 62:6329–6336

    PubMed  CAS  Google Scholar 

  93. Meikle PJ, Christopher MJ (2011) Lipidomics is providing new insight into the metabolic syndrome and its sequelae. Curr Opin Lipidol 22:210–215

    Article  PubMed  CAS  Google Scholar 

  94. Brown JM, Rudel LL (2010) Stearoyl-coenzyme A desaturase 1 inhibition and the metabolic syndrome: considerations for future drug discovery. Curr Opin Lipidol 21:192–197

    Article  PubMed  CAS  Google Scholar 

  95. Chen C, Shah YM, Morimura K, Krausz KW, Miyazaki M, Richardson TA, Morgan ET, Ntambi JM, Idle JR, Gonzalez FJ (2008) Metabolomics reveals that hepatic stearoyl-CoA desaturase 1 downregulation exacerbates inflammation and acute colitis. Cell Metab 7:135–147

    Article  PubMed  CAS  Google Scholar 

  96. Guo X, Lankmayr E (2010) Multidimensional approaches in LC and MS for phospholipid bioanalysis. Bioanalysis 2:1109–1123

    Article  PubMed  CAS  Google Scholar 

  97. Han X, Yang K, Gross RW (2008) Microfluidics-based electrospray ionization enhances the intrasource separation of lipid classes and extends identification of individual molecular species through multi-dimensional mass spectrometry: development of an automated high-throughput platform for shotgun lipidomics. Rapid Commun Mass Spectrom 22:2115–2124

    Article  PubMed  CAS  Google Scholar 

  98. Han X (2010) Multi-dimensional mass spectrometry-based shotgun lipidomics and altered lipids at the mild cognitive impairment stage of Alzheimer’s disease. Biochim Biophys Acta 1801:774–783

    Article  PubMed  CAS  Google Scholar 

  99. Strittmatter WJ, Roses AD (1996) Apolipoprotein E and Alzheimer’s disease. Annu Rev Neurosci 19:53–77

    Article  PubMed  CAS  Google Scholar 

  100. Blaho VA, Buczynski MW, Brown CR, Dennis EA (2009) Lipidomic analysis of dynamic eicosanoid responses during the induction and resolution of Lyme arthritis. J Biol Chem 284:21599–21612

    Article  PubMed  CAS  Google Scholar 

  101. Bujak R, Daghir E, Rybka J, Koslinski P, Markuszewski MJ (2011) Metabolomics in urogenital cancer. Bioanalysis 3:913–923

    Article  PubMed  CAS  Google Scholar 

  102. Tyagi S, Raghvendra S, Singh U, Kalra T, Munjal K (2010) Applications of metabolomics―a systematic study of the unique chemical fingerprints: an overview. Int J Pharmaceut Sci Rev Res 3:83–86

    CAS  Google Scholar 

  103. Saude EJ, Skappak CD, Regush S, Cook K, Ben-Zvi A, Becker A, Mogbel R, Sykes BD, Rowe BH, Adamko DJ (2011) Metabolomic profiling of asthma: diagnostic utility of urine nuclear magnetic resonance spectroscopy. J Allergy Clin Immunol 127:757–764

    Article  PubMed  CAS  Google Scholar 

  104. Yang J, Dong H, Hammock BD (2011) Profiling the regulatory lipids: another systemic way to unveil the biological mystery. Curr Opin Lipidol 22:197–203

    Article  PubMed  CAS  Google Scholar 

  105. Pryor DI, Solomon B, Porceddu SV (2011) The emerging era of personalized therapy in squamous cell carcinoma of the head and neck. Asia Pac J Clin Oncol 7:236–251

    Article  PubMed  Google Scholar 

  106. Pirmohamed M (2011) Pharmacogenetics: past, present and future. Drug Discov Today 16:852–861

    Article  PubMed  CAS  Google Scholar 

  107. Roedder S, Vitalone M, Khatri P, Sarwal MM (2011) Biomarkers in solid organ transplantation: establishing personalized transplantation medicine. Genome Med 3:37–49

    Article  PubMed  Google Scholar 

  108. Thomas C, Moridani M (2011) Cancer vaccines: personalizing health interventions. Curr Pharmacogenom Personal Med 9:208–228

    CAS  Google Scholar 

  109. Schaeffeler E, Fischer C, Brockmeier D, Wernet D, Moerike K, Eichelbaum M, Zanger UM, Schwab M (2004) Comprehensive analysis of thiopurine S-methyltransferase phenotype-genotype correlation in a large population of German-Caucasians and identification of novel TPMT variants. Pharmacogenetics 14:407–417

    Article  PubMed  CAS  Google Scholar 

  110. Hoskins JM, Goldberg RM, Qu P, Ibrahim JG, McLeod HL (2007) UGT1A1*28 genotype and irinotecan-induced neutropenia: dose matters. J Natl Cancer Inst 99:1290–1295

    Article  PubMed  CAS  Google Scholar 

  111. Taron M, Rosell R, Felip E, Mendez P, Souglakos J, Ronco MS, Queralt C, Majo J, Sanchez JM, Sanchez JJ, Maestre J (2004) BRCA1 mRNA expression levels as an indicator of chemoresistance in lung cancer. Hum Mol Genet 50:2443–2449

    Article  CAS  Google Scholar 

  112. Watchers FM, Wong LS, Timens W, Kampinga HH, Groen HJ (2005) ERCC1, hRad51, and BRCA1 protein expression in relation to tumour response and survival of stage III/IV NSCLC patients treated with chemotherapy. Lung Cancer 50:211–219

    Article  Google Scholar 

  113. Loveday C, Turnbull C, Ramsay E, Hughes D, Ruark E, Frankum JR, Bowden G, Kalmyrzaev B, Warren-Perry M, Snape K, Adlard JW, Barwell J, Berg J, Brady AF, Brewer C, Brice G, Chapman C, Cook J, Davidson R, Donaldson A, Douglas F, Greenhalgh L, Henderson A, Izatt L, Kumar A, Lalloo F, Miedzybrodzka Z, Morrison PJ, Paterson J, Porteous M, Rogers MT, Shanley S, Walker L, Eccles D, Evans DG, Renwick A, Seal S, Lord CJ, Ashworth A, Reis-Filho JS, Antoniou AC, Rahman N (2011) Germline mutations in RAD51D confer susceptibility to ovarian cancer. Nat Genet 43:879–882

    Article  PubMed  CAS  Google Scholar 

  114. Offit K (2011) Personalized medicine: new genomics, old lessons. Hum Genet 130:3–14

    Article  PubMed  Google Scholar 

  115. Özgüç M (2011) Genetic testing: predictive value of genotyping for diagnosis and management of disease. EPMA J 2:173–179

    Article  Google Scholar 

  116. Chakrabarti S, Freedman JE (2010) Review: nutriceuticals as antithrombotic agents. Cardiovasc Ther 28:227–235

    Article  PubMed  CAS  Google Scholar 

  117. O’Sullivan A, Gibney MJ, Brennan L (2011) Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies. Am J Clin Nutr 93:314–321

    Article  PubMed  CAS  Google Scholar 

  118. Singh I, Turner AH, Sinclair AJ, Li D, Hawley JA (2007) Effects of γ-tocopherol supplementation on thrombotic risk factors. Asia Pac J Clin Nutr 16:422–428

    PubMed  CAS  Google Scholar 

  119. Abdulah R, Katsuya Y, Kobayashi K, Nakazawa M, Nara M, Murakami M, Koyama H (2007) Effect of sodium selenite supplementation on the levels of prostacyclin I2 and thromboxane A2 in human. Thromb Res 119:305–310

    Article  PubMed  CAS  Google Scholar 

  120. Conklin KA (2005) Coenzyme q10 for prevention of anthracycline-induced cardiotoxicity. Integr Cancer Ther 4:110–130

    Article  PubMed  CAS  Google Scholar 

  121. Traka M, Gasper AV, Melchini A, Bacon JR, Needs PW, Frost V, Chantry A, Jones AM, Ortori CA, Barrett DA, Ball RY, Mills RD, Mithen RF (2008) Broccoli consumption interacts with GSTM1 to perturb oncogenic signalling pathways in the prostate. PLoS One 3:e2568

    Article  PubMed  Google Scholar 

  122. McCormack JG, Staneley WC, Wolff AA (1998) Ranolazine: a novel metabolic modulator for the treatment of angina. Gen Pharmacol 30:639–645

    Article  PubMed  CAS  Google Scholar 

  123. Rupp H, Zarain-Herzberg A, Maisch B (2002) The use of partial fatty acid oxidation inhibitors for metabolic therapy of angina pectoris and heart failure. Herz 27:621–636

    Article  PubMed  Google Scholar 

  124. Bhandari B, Subramanian L (2007) Ranolazine, a partial fatty acid oxidation inhibitor, its potential benefit in angina and other cardiovascular disorders. Recent Pat Cardiovasc Drug Discov 2:35–39

    Article  PubMed  CAS  Google Scholar 

  125. van der Vusse GJ, Glatz JF, Stam HC, Reneman RS (1992) Fatty acid homeostasis in the normoxic and ischemic heart. Physiol Rev 72:881–940

    PubMed  Google Scholar 

  126. Michelakis ED, Sutendra G, Dromparis P, Webster L, Haromy A, Niven E, Maguire C, Gammer TL, Mackey JR, Fulton D, Abdulkarim B, McMurtry MS, Petruk KC (2010) Metabolic modulation of glioblastoma with dichloroacetate. Sci Transl Med 2:31ra34

    Google Scholar 

  127. Perkowski DJ, Wagner S, Schneider JR, St Cyr JA (2011) A targeted metabolic protocol with D-ribose for off-pump coronary artery bypass procedures: a retrospective analysis. Ther Adv Cardiovasc Dis 5:185–192

    Article  PubMed  CAS  Google Scholar 

  128. Marcer G, Saia B (1989) Environment and the immune system. G Ital Med Lav 11:27–32

    PubMed  CAS  Google Scholar 

  129. Bencko V, Rames J, Ondrusova M, Plesko I, Jurickova L, Trnovec T (2009) Human exposure to polyhalogenated hydrocarbons and incidence of selected malignancies―Central European experience. Neoplasma 56:353–357

    Article  PubMed  CAS  Google Scholar 

  130. Stiborova M, Rupertova M, Hodek P, Frei E, Schmeiser HH (2004) Monitoring of DNA adducts in humans and 32P-postlabelling methods: a review. Collect Czech Chem Commun 69:476–498

    Article  CAS  Google Scholar 

  131. Caporossi L, Santoro A, Papaleo B (2010) Saliva as an analytical matrix: state of the art and application for biomonitoring. Biomarkers 15:475–487

    Article  PubMed  CAS  Google Scholar 

  132. Chu M, Shirai T, Takahashi D, Arakawa T, Kudo H, Sano K, Sawada S, Yano K, Iwasaki Y, Akiyoshi K, Mochizuki M, Mitsubayashi K (2011) Biomedical soft contact-lens sensor for in situ ocular biomonitoring of tear contents. Biomed Microdevices 13:603–611

    Article  PubMed  CAS  Google Scholar 

  133. Genuis SJ, Birkholz D, Rodushkin I, Beesoon S (2011) Blood, urine, and sweat (BUS) study: monitoring and elimination of bioaccumulated toxic elements. Arch Environ Contam Toxicol 61:344–357

    Article  PubMed  CAS  Google Scholar 

  134. Sobus JR, Tan YM, Pleil JD, Sheldon LS (2011) A biomonitoring framework to support exposure and risk assessments. Sci Total Environ 409:4875–4884

    Article  PubMed  CAS  Google Scholar 

  135. Srogi K (2007) Monitoring of environmental exposure to polycyclic aromatic hydrocarbons: a review. Environ Chem Lett 5:169–195

    Article  CAS  Google Scholar 

  136. Axelrad DA, Goodman S, Woodruff TJ (2009) PCB body burdens in US women of childbearing age 2001-2002: an evaluation of alternate summary metrics of NHANES data. Environ Res 109:368–378

    Article  PubMed  CAS  Google Scholar 

  137. Rüdel H, Fliedner A, Kösters J, Schröter-Kermani C (2010) Twenty years of elemental analysis of marine biota within the German Environmental Specimen Bank―a thorough look at the data. Environ Sci Pollut Res Int 17:1025–1034

    Article  PubMed  CAS  Google Scholar 

  138. Wilhelm M, Hölzer J, Dobler L, Rauchfuss K, Midasch O, Kraft M, Angerer J, Wiesmüller G (2009) Preliminary observations on perfluorinated compounds in plasma samples (1977-2004) of young German adults from an area with perfluorooctanoate-contaminated drinking water. Int J Hyg 212:142–145

    Article  CAS  Google Scholar 

  139. Kolossa-Gehring M, Becker K, Conrad A, Lüdecke A, Riedel S, Seiwert M, Schulz C, Szewzyk R (2007) German Environmental Survey IV for Children (GerES IV)—first results. Int J Hyg Environ Health 210:535–540

    Article  PubMed  CAS  Google Scholar 

  140. Conrad A, Schulz C, Seiwert M, Becker K, Ullrich D, Kolossa-Gehring M (2010) German Environmental Survey IV: children’s exposure to environmental tobacco smoke. Toxicol Lett 192:79–83

    Article  PubMed  CAS  Google Scholar 

  141. Turesky RJ, Le Marchand L (2011) Metabolism and biomarkers of heterocyclic aromatic amines in molecular epidemiology studies: lessons learned from aromatic amines. Chem Res Toxicol 24:1169–1214

    Article  PubMed  CAS  Google Scholar 

  142. Wiesmüller GA, Eckard R, Dobler L, Günsel A, Oganowski M, Schröter-Kermani C, Schlüter C, Gies A, Kemper FH (2007) The Environmental Specimen Bank for Human Tissues as part of the German Environmental Specimen Bank. Int J Hyg Environ Health 210:299–305

    Article  PubMed  CAS  Google Scholar 

  143. Dürbeck HW, Klumpp E, Schladot JD, Schwuger MJ (1994) Environmental Specimen Bank of the Federal Republic of Germany―significance of surfactants. Progr Colloid Polym Sci 95:48–60

    Article  Google Scholar 

  144. Karaolis-Danckert N, Buyken AE, Sonntag A, Kroke A (2009) Birth and early life influences on the timing of puberty onset: results from the DONALD (DOrtmund Nutritional and Anthropometric Longitudinally Designed) study. Am J Clin Nutr 90:1559–1565

    Article  PubMed  CAS  Google Scholar 

  145. Bourret P, Keating P, Cambrosio A (2011) Regulating diagnosis in post-genomic medicine: re-aligning clinical judgment? Soc Sci Med 73:816–824

    Article  PubMed  Google Scholar 

  146. Dunn RL, Huwe JK, Carey GB (2010) Biomonitoring polybrominbated diphenyl ethers in human milk as a function of environment, dietary intake, and demographics in New Hampshire. Chemosphere 80:1175–1182

    Article  PubMed  CAS  Google Scholar 

  147. Mir L (2009) Exposure to pesticides during pregnancy and neurobehavioral development of newborn babies. Environnement, Risque et Sante 8:92–93

    Google Scholar 

  148. Jurewicz J, Hanke W (2008) Prenatal and childhood exposure to pesticides and neurobehavioral development: review of epidemiological studies. Int J Occup Med Environ Health 21:121–132

    Article  PubMed  Google Scholar 

  149. Collins FS, Gray GM, Bucher JR (2008) Toxicology. Transforming environmental health protection. Science 319:906–907

    Article  PubMed  CAS  Google Scholar 

  150. Clewell HJ, Gentry PR, Covington TR, Sarangapani R, Teeguarden JG (2004) Evaluation of the potential impact of age- and gender-specific pharmacokinetic differences on tissue dosimetry. Toxicol Sci 79:381–393

    Article  PubMed  CAS  Google Scholar 

  151. Rostami-Hodjegan A, Tucker GT (2007) Simulation and prediction of in vivo drug metabolism in human populations from in vitro data. Nat Rev Drug Discov 6:140–148

    Article  PubMed  CAS  Google Scholar 

  152. Caudill SP (2010) Characterizing populations of individuals using pooled samples. J Expo Sci Environ Epidemiol 20:29–37

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Harald Jungnickel or Andreas Luch .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Basel AG

About this chapter

Cite this chapter

Jungnickel, H., Luch, A. (2012). A Personalized Life: Biomarker Monitoring from Cradle to Grave. In: Luch, A. (eds) Molecular, Clinical and Environmental Toxicology. Experientia Supplementum, vol 101. Springer, Basel. https://doi.org/10.1007/978-3-7643-8340-4_17

Download citation

Publish with us

Policies and ethics