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Dhabale, Pandurang
- Pharmacogenomics: An Overview
Authors
1 Government College of Pharmacy, Karad, Tal. - Karad, Dist. - Satara, 415124, State - Maharashtra, IN
Source
Research Journal of Pharmacology and Pharmacodynamics, Vol 1, No 2 (2009), Pagination: 59-65Abstract
To increase the drug response, the pharmacogenomics applicable in pharmacotherapy by studying genomic level of the human being pharmacogenomics examine the role of entire genome in both disease susceptibility and drug response; in an attempt to identify specific genes, human genetic variation RNA and protein expression differences, that are associated with specific diseases and that may be targets for new drugs. Pharmacogenomics show ability to explore not only drug metabolizing polymorphisms but also drug target polymorphism, drug transporter polymorphisms.Many factors influence drug responses including age, gender, body weight, patient health, disease status, diet, smoking, alcohol, and exercise and drug interaction. However despite careful consideration of these factors, there is no guarantee that a given treatment will be effective. It is thought that a major cause for variability in drug responses lies in patient's genetic makeup. Genetic variations can be used to explain inter individual differences in drug response.
Pharmacogenomics is the study of how individual's genetic inheritance affects the body's response to drugs. The term comes from the words pharmacology and genomics and is thus the intersection of pharmaceuticals and genetics.
Pharmacogenomics holds the promise that drugs might one day be tailor-made for individuals and adapted to each person's own genetic makeup. Environment, diet, age, lifestyle, and state of health all can influence a person's response to medicines, but understanding an individual's genetic makeup to be the key to creating personalized drugs with greater efficacy and safety.
Keywords
Pharmacogenomics, Individual's Genetic Inheritance, Genome, Personalized Drugs.References
- Evans WE, Relling MV, Pharmacogenomics: translating functional genomics into rational therapeutics. Science, 1999; 286: 487-491.
- Mancinelli L, Cronin M, Sadee W, Pharmacogenomics: The promise of personalized medicine. AAPS PharmSci, 2000; article 4: 2 (1)
- Johnson JA, Drug target pharmacogenomics. Am J Pharmacogenomics, 2001; 1: 271-281.
- Kalow W, Pharmacogenetics and evolution, Pharmacogenetics 2000; 10: 1-3.
- Leon Shargal et al., Applied Biopharmaceutics and Pharmacokinetics, 2005: 355.
- Michael Silber B, Pharmacogenomics, Biomarkers, and the Promise of Personalized Medicine, in Pharmacogenomics 2001: 14.
- Laurinda BH, Ethical Challenges in the Management of Health Information 2001: 275.
- Leland H, Hartwell et al., Genetics: From Genes to Genomes 2000:113.
- Peyser PA, Burns TL, Khoury MJ et al., Approaches to Quantify the Genetic Component of and Identify Genes for Complex Traits, in Human Genome Epidemiology: A Scientific Foundation for Using Genetic Information to Improve Health and Prevent Disease 2004: 43.
- Brown SM, Kalow W et. al., Essentials of Medical Genomics, 2003: 253.
- Duret L, Mouchiroud D, Gouy M, Hovergen: a database of homologous vertebrae genes, Nucleic Acids Res, 1994; 22: 2360-2365.
- Health Insurance Portability and Accountability Act, Pub. L. No. 110 Stat, 1936 (1996): 104-191.
- Veenstra DL, The Interface between Epidemiology and Pharmacogenomics, in HUMAN GENOME EPIDEMIOLOGY: A SCIENTIFIC FOUNDATION FOR USING GENETIC INFORMATION TO IMPROVE HEALTH AND PREVENT DISEASE, supra note 8: 234.
- Laviero M et al., Pharmacogenomics: the Promise of Personalized Medicine, 2 AAPS J. 2000; 1, 3, note 7: 201.
- Kenneth R, Miller, Joseph L, Biology, 2000: 75.
- U.S. National Library of Medicine, National Institutes of Health, Department of Health & Human Services, Help Me Understand Genetics (February 25, 2005): 11.
- Hughes HB, Biehl JP, Jones AP, Schmidt LH, Metabolism of isoniazide in man as related to the occurrence of peripheral neuritis. Am Rev Tuberculosis, 1954; 70: 266-273.
- Motulsky AG, Drug reactions, enzymes and biochemical genetics. JAMA, 1957; 165: 835-837.
- Bonicke R, Lisboa BP, Erbeddingtheit der intraindividuellen Konstanz der Isoniazidausscheidung beim Menschen. Naturwissenschaften 1957; 44:314.
- Kalow W, Pharmacogenetics, Heredity and the Response to Drugs. Philadelphia: W. B. Sauders, 1962.
- Hansen TS, Petersen NE, Iitia A, Blaabjerg O, Petersen PH, Roburst non-radioactive oligonucleotide ligation assay to detect a common point mutation in the CYP2D6 gene causing abnormal drug metabolism. Clin Chem, 1995; 41: 413-418.
- Shi MM, Bleavins MR, de la Iglesia FA, Technologies for detecting genetic polymorphism in pharmacogenomics, Mol Diagn, 1999; 4: 343-351.
- Lars N, The Coming Pharmacogenomics Revolution: Tailoring Drugs to Fit Patients' Genetic Profiles, JURIMETRICS J. 2002; 1: 9:43.
- Lazarou J, Pomeranz BH, Corey PN, Incidence of adverse drug reactions in hospitalized patients, JAMA, 1998; 279: 1200-1205.
- Sadee W, Finding the right drug for the right patient. Pharm Res, 1998; 15: 959-963.
- Brookes AJ, The essence of SNPs. Gene, 1999; 234: 177-186.
- Marshall A, Getting the right dug into the right patient. Nat Biotechnol, 1997; 15: 1249-1252.
- McCarthy JJ, Hilfiker R, The use of single-nucleotide polymorphism maps in pharmacogenomics. Nat Biotechnol, 2000; 18: 505-508.
- Veenstra DL, Kollman PA, Modeling protein stability: a theoretical analysis of the stability of T4 lysozyme mutants. Protein Eng, 1997; 10: 789-807.
- Sadee W, Pharmacogenomics. BMJ, 1999; 319: 1-4.
- Israel E, Drazen JM, Ligget SB, et al., The effect of polymorphisms of the beta(2)-adrenergic receptor on the response to regular use of albuterol in asthma. Am J Respir Crit Care Med, 2000; 162: 75-80.
- Tolle R, Information technology tools for efficient SNP studies. Am J Pharmacogenomics, 2001; 1: 303-314.
- Cambien F, Poirier O, Nicaud V, et al. Sequence diversity in 36 candidate genes for cardiovascular disease. Am J Hum Genet, 1999; 65: 183-191.
- Dawson E, New collaborations make pharmacogenomics a SNP. Mol Med Today 1999; 5: 280.
- Arther ML, Introduction to protein science: Architecture, function and genomics, 2005: 25.
- Francke U, Foellmer BE, The glucocorticoid receptor gene is in 5q-q32. Genomics, 1989; 4: 610-612.
- Anderson NG, Anderson L, The human protein index. Clin Chem, 1982; 28: 739-748.
- Collins FS, The human genome project and the future of medicine.Ann NY Acad Sci, 1999; 882: 42-65.
- Pfost DR, Boyce-Jacino MT, Grant DM, A SNPshot: pharmacogenetics and the future of therapy. Trends Biotechnol, 2000; 18: 334-338.
- Burger's Medicinal Chemistry and Drug Discovery, Sixth Edition, Volume 4: 618-632.
- Roses AD, Pharmacogenomics and practice of medicine nature. 2000; 405: 857-865.
- Hoffman PC, Lung cancer. Lancet, 2000; 355: 479.
- Lazarou J, Pomeranz BH, Corey PN, Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies, JAMA, 279(15), Apr 1998; 15: 1200-5.
- Hodgson J, Marshall A, Pharmacogenomics: will the regulators approve? Nature Biotechnology, 1998; 16: 243-246.
- Pistoi S, Facing your genetic destiny, part II. Scientific American. February 2002: 25.
- Lee W, Lockhard C, Kim RB, Rothenberg ML, Cancer pharmacogenomics: powerful tools in cancer chemotherapy and drug development, 2005; 10: 104-111.
- Lennard L, Gibson BE, Nicole T, Congenital thiopurine methyltransferase deficiency and 6-mercaptopurine toxicity during treatment for acute lymphoblastic leukaemia. Arch Dis Child, 1993; 69: 577-579.
- Sayers I, Hall IP, Pharmacogenetic approaches in the treatment of asthma. Curr Allergy Asthma Rep, 2005; 5: 101-108.
- I. Zineh, T. Gerhard, C.L.Aquilante, A.L.Beitelshees, B.N.Beasley, A.G. Hartzema, Availability of pharmacogenomics-based prescribing information in drug package inserts for currently approved drugs. The Pharmacogenomics Journal.2004:354-358.
- Wang HY, Luo M, Tereshchenko IV, et al., A genotyping system capable of simultaneously analyzing >1000 single nucleotide polymorphisms in a haploid genome. Genome Res, 2005;15:276-283.
- Kalow W, Meyer Urs A, Tyndale RF, Pharmacogenomics, 2008:135-140.
- Schafer A, Hawkinsan JR, DNA variation and the future of human genetics. Nature biotech 1998;16:33-39.
- Proteomics: A Tool in Future
Authors
1 Government College of Pharmacy, Karad, Dist -Satara-415124, M.S., IN
2 Govt. College of Pharmacy, Karad, IN
Source
Research Journal of Pharmacology and Pharmacodynamics, Vol 1, No 3 (2009), Pagination: 99-103Abstract
Scientists are very interested in proteomics because it gives a much better understanding of an organism than genomics. First, the level of transcription of a gene gives only a rough estimate of its level of expression into a protein. Whole Genome Sequence gives complete proteins contain, but does not show how proteins function or biological processes occur. Proteomics gives large-scale study of proteins, particularly their structures and functions. Proteomics is a term in the study of genetics which refers to all the proteins expressed by a genome; proteomics involves the identification of proteins in the body and the determination of their role in physiological and pathphysiological functions. The term "proteomics" was coined to make an analogy with genomics, the study of the genes. The word "proteome" is a blend of "protein" and "genome". Proteomics technologies are of major three types Expression Proteomics, Structural Proteomics, Functional Proteomics. Proteomics is applied in various fields like Tumor Metastasis, renal disease diagnosis, Neurology etc. But proteomic technologies hold great promise in the search for clinically useful protein biomarkers for the early detection, diagnosis and prognosis of cancer and for monitoring response to therapy.Keywords
Proteomics, Genomics, Genome, Proteome.References
- Simon R., et al ,"Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models". Bioinformatics. 2008, 24 : 2894-2900. doi:10.1093/bioinformatics/btn553. PMID 18974169.
- Vikas D, et al.. "New frontiers in proteomics research: A perspective". International Journal of Pharmaceutics.2005,299:1-18.
- Buckingham, Steven 5. "The major world of microRNAs". Micrornas 2003, 01-14
- Anderson N, Anderson N.. "Proteome and proteomics: new technologies, new concepts, and new words". Electrophoresis 1998,19 :1853-61.
- Blackstock W, Weir M. "Proteomics: quantitative and physical mapping of cellular proteins". Trends Biotechnol. 1999, 17 : 121-7.
- P. James. "Protein identification in the post-genome era: the rapid rise of proteomics.". Quarterly reviews of biophysics.1997,30: 279-331.
- Marc R. Wilkins,. "From Proteins to Proteomes: Large Scale Protein Identification by Two-Dimensional Electrophoresis and Arnino Acid Analysis". Nature Biotechnology.1996, 14 : 61-65.
- Wilkins, Marc R., et al. New Frontiers in Functional Genomics. Proteome Research New York: Springer-Verlag, 1997.
- Belhajjame, K. et al. Proteome Data Integration: Characteristics and Challenges. Proceedings of the UK e-Science All Hands Meeting, ISBN 1-904425-53-4, September 2005, Nottingham, UK.
- Liebler DC. Introduction to proteomics: tools for the new biology. 2002, 7: 89603-992.
- Wilkins MR, Williams KL, Appel RD, Hochstrasser DF. Proteome Research: New Frontiers in Functional Genomics , Principles and Practice. 1997, 3-540-62753-7.
- Twyman RM. Principles Of Proteomics .Advanced Text Series. 2004, 1-85996-273-4.
- Fuchs, Jurgen, and Maurizio Podda, editors. Encyclopedia of Medical Genomics and Proteomics. New York: Dekker, 2005
- Aebersold R., Mann M. Mass Spectrometry-Based Proteomics. Nature.2003, 422: 198-207.
- Zhu, W., et al. 'Detection of Cancer-Specific Markers Amid Massive Mass Spectral Data.' Proceedings of the National Academy of Sciences . 2003,100: 14666-71.
- Zhu H, et al. Global analysis of protein activities using proteome chips. Science . 2001,293:2101-2105
- Arora PS,.Comparative evaluation of two two-dimensional gel electrophoresis image analysis software applications using synovial fluids from patients with joint disease. J Orthop Sci 2005,10,2: 160-6
- Jorg von Hagen, VCH-Wiley Proteomics Sample Preparation. 2008,978-3-527-31796-7
- Westermeier, R. and T. Naven.. Proteomics in practice: a laboratory manual of proteome analysis. 2002, 3-527-30354-5.
- Hye A, Lynham S, Thambisetty M, et al. Proteome-based plasma biomarkers for Alzheimer's disease. Brain. 2006,129 ,Pt 11: 3042-50.
- Perroud B, Lee J, Valkova N, et al. Pathway analysis of kidney cancer using proteomics and metabolic profiling. Mol Cancer. 2006. 5: 64.
- Yohannes E, et al . Proteomics analysis identifies molecular targets related to diabetes mellitus-associated bladder dysfunction. Mol. Cell Proteomics. 2008,7: 1270-85.
- Rogers M, et al.. Proteomic profiling of urinary proteins in renal cancer by surface enhanced laser desorption ionization and neuralnetwork analysis: identification of key issues affecting potential clinical utility. Cancer Res. 2003, 63: 6971-83.
- Vasan R., Biomarkers of cardiovascular disease: molecular basis and practical considerations. Circulation . 2006, 113 : 2335-62.
- Weaver R., Molecular biology , 3rd ed, New York: McGraw-Hill. 2005.
- Karp N, et al, Impact of replicate types on proteomic expression analysis. Journal of proteome research. 2005, 4:1867-71
- Karp N, Lilley KS., Maximising sensitivity for detecting changes in protein expression: experimental design using minimal CyDyes,. Proteomics. 2005 , 5:3105-15.
- Martins D, et al., The untiring search for the most complete proteome representation: reviewing the methods, Brief Funct Genomic Proteomic. 2008, 7:312-21.
- Dobrovetsky E, et al., A robust purification strategy to accelerate membrane proteomics. Methods. 2007, 41:381-7.
- Watson J., Towards fully automated structure-based function prediction in structural genomics: a case study. J Mol Biol. 2007, 13;367:1511-22.
- Norin M, Sundström M..Structural proteomics: developments in structure-to-function predictions,Trends Biotechnol. 2002 , 20:79-84.
- Yakunin A., et al, Structural proteomics: a tool for genome annotation. Curr Opin Chem Biol. 2004, 8:42-8.
- Frederic C., Functional Proteomics Mapping of a Human Signaling Pathway. Genome Res.,2004,14: 24-1332.
- Cai Z, Chiu JF, He QY. Application of proteomics in the study of tumor metastasis. Genomics Proteomics Bioinformatics. 2004, 2:152-66.
- Nancy Denslow,et al., Application of Proteomics Technology to the Field of Neurotrauma. Journal of Neurotrauma. 2003, 20: 401-407.
- Biomarker: Indicator for Disease
Authors
1 Govt. College of Pharmacy, Karad Dist. Satara-415124, M.S., IN
Source
Research Journal of Pharmacology and Pharmacodynamics, Vol 2, No 1 (2010), Pagination: 5-11Abstract
Biomarkers are referred to every means of tools for quantifiable measurements of biological homeostasis, which distinguish what is abnormal from normal. In other words any accessible, quantifiable signal that informs about the state of health for biological system. This is a broad definition that encompasses a range of measurements - physical, biochemical and even questionnaires. Also it gives measure changes occur in blood, serum, plasma, enzyme, body fluid and any normal constituent in body, which indicates the disease condition.Biomarkers also play a very important role in identification of cerebrovascular diseases like Alzheimer's, frontotemporal dementia (FTD), Pulmonary Hypertension, lung cancer, Thyroid cancer etc. Whatever the measurement, a good biomarker should possess specific characteristics and be subject to robust statistical analysis. The focus of this review will inform us the potential value of Biomarker in all above said. A biochemical test that indicates the presence of subclinical disease would allow early intervention and possibly a better chance of altering the course of the disease. Although there have been considerable advances, many areas of drug development still require kinetic biomarkers. In principle, biomarker can be developed for any system in which the rate of synthesis or degradation of a protein, lipid, carbohydrate, ribonucleotide or cell is desired. We emphasized on many target pathways of interest to pharmaceutical research and noted the potential for applying stable biomarkers.
References
- Steele, A., Beaty; et al. (September 26, 2006), "Final report of the MEPAG Astrobiology Field Laboratory Science Steering Group (AFL-SSG)", in Steele, Andrew (.doc), The Astrobiology Field Laboratory, U.S.A.: the Mars Exploration Program Analysis Group (MEPAG) - NASA, pp. 72.
- Loukopoulos P, et al. Clinical and pathologic relevance of p53 index in canine osseous tumors. Veterinary Pathology 2003; 40:237-248.
- Loukopoulos P, et al. Matrix metalloproteinase-2 and -9 involvement in canine tumors. Veterinary Pathology 2003; 40:382-394.
- Medterms definition Ott, W. R., Steinemann, (2007).
- Biomarkers of exposure. In W. R. Ott, A. C. Steinemann & L. A. Wallace (Eds.), Exposure analysis (pp. 395-404).
- De Vicente, C., T. Fulton (2003). Molecular Marker Learning Modules - Vol. 1. IPGRI, Rome, Italy and Institute for Genetic Diversity, Ithaca, New York, USA.
- Heyman A, et al. Cerebral infarcts in patients with autopsy-proven Alzheimer's disease: CERAD, part XVIII. Consortium to Establish a Registry for Alzheimer's Disease. Neurology 1998;51:159-62.
- Snowdon DA, et al. Brain infarction and the clinical expression of Alzheimer disease. The Nun Study. JAMA 1997;277:813-7.
- Kalaria R. Similarities between Alzheimer's disease and vascular dementia. J Neurol Sci 2002;203-204:29-34.
- Kalaria RN. The blood-brain barrier and cerebrovascular pathology in Alzheimer's disease. Ann NY Acad Sci 1999;893:113-25.
- Kalaria RN. Small vessel disease and Alzheimer's dementia: pathological considerations. Cerebrovasc Dis 2002;13 (Suppl 2):48-52.
- Kalaria RN. Vascular factors in Alzheimer's disease. Int Psychogeriatr 2003;15 (Suppl 1):47-52.
- Zimmerman RD, et al Periventricular hyperintensity as seen by magnetic resonance: prevalence and significance. AJR Am J Roentgenol 1986;146:443-50.
- Tian J, et al. Relationships between arteriosclerosis, cerebral amyloid angiopathy and myelin loss from cerebral cortical white matter in Alzheimer's disease. Neuropathol Appl Neurobiol 2004;30:46-56.
- Fazekas F, et al. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 1993;43:1683-9.
- Fazekas F, et al. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987;149: 351-6.
- Scheltens P, et al. A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging. J Neurol Sci 1993;114:7-12.
- Fazekas F, et al. CT and MRI rating of white matter lesions. Cerebrovasc Dis 2002;13 Suppl 2:31-6.
- Scheltens P, et al. White matter changes on CT and MRI: an overview of visual rating scales. European Task Force on Age-Related White Matter Changes. Eur Neurol 1998;39:80-9.
- Baldwin RC. Is vascular depression a distinct sub-type of depressive disorder? A review of causal evidence. Int J Geriatr Psychiatry 2005;20:1-11.
- Jellinger KA. The pathology of ischemic-vascular dementia: an update. J Neurol Sci 2002;203-204:153-7.
- Esiri MM, et al Neuropathological assessment of the lesions of significance in vascular dementia. J Neurol Neurosurg Psychiatry 1997;63:749-53.
- Hommel M, Gray F. Microvascular pathology. New York: Springer; 1995.
- Poirier J, et al. Cerebral lacunae. A proposed new classification. Clin Neuropathol 1984;3:266.
- Baldwin RC, O'Brien J. Vascular basis of late-onset depressive disorder. Br J Psychiatry 2002;180:157-60.
- O'Brien JT, Ames D. White matter lesions in depression and Alzheimer's disease. Br J Psychiatry 1996;169:671.
- Alexopoulos GS, et al "Vascular depression" hypothesis. Arch Gen Psychiatry 1997;54:915-22.
- Derouesne C, Poirier J. Cerebral lacunae: still under debate. Rev Neurol (Paris) 1999;155:823-31.
- Heier LA, et al. Large Virchow-Robin spaces: MRclinical correlation. AJNR Am J Neuroradiol 1989;10:929-36.
- Braffman BH, et al pathologic correlation with gross and histopathology. 1. Lacunar infarction and Virchow-Robin spaces. AJR Am J Roentgenol 1988;151:551-8.
- Machado MA, et al Dilatation of Virchow-Robzin spaces in patients with migraine. Arq Neuropsiquiatr 2001;59:206-9.
- Fazekas F, et al. The morphologic correlate of incidental punctate white matter hyperintensities on MR images. AJNR Am J Neuroradiol 1991;12:915-21.
- Ogawa T, et al. Unusual widening of Virchow-Robin spaces: MR appearance. AJNR Am J Neuroradiol 1995;16:1238-42.
- Hughes W. Origin of lacunes. Lancet. 1965;1:19-21.
- Benhaiem-Sigaux N, et al Expanding cerebellar lacunes due to dilatation of the perivascular space associated with Binswanger's subcortical arteriosclerotic encephalopathy. Stroke 1987;18:1087-92.
- Derouesne C, "Expanding cerebral lacunae" in a hypertensive patient with normal pressure hydrocephalus. Neuropathol Appl Neurobiol 1987;13:309-20.
- Pullicino PM, Miller LL, Alexandrov AV, Ostrow PT. Infraputaminal "lacunes". Clinical and pathological correlations. Stroke 1995;26:1598-602.
- Aldred MA, et al. BMPR2 gene rearrangements account for a signiÞ cant proportion of mutations in familial and idiopathic bpulmonary arterial hypertension. Hum Mutat 2006;27:212-3.
- Cogan JD, et al. High frequency of BMPR2 exonic deletions/duplications in familial pulmonary arterial hypertension. Am J RespirCrit Care Med 2006;174:590-8.
- Lane KB, et al. Heterozygous germline mutations in BMPR2, encoding a TGF-a receptor, cause familial primary pulmonary hypertension: The International PPH Consortium. Nat Genet 2000;26:81-4.
- Machado RD, et al. Mutations of the TGF-a type II receptor BMPR2 in pulmonary arterial hypertension. Hum Mutat 2006;27:121-32.
- Morisaki H, et al BMPR2 mutations found in Japanese patients with familial and sporadic primary pulmonary hypertension. Hum Mutat 2004;23:632.
- Roberts KE, et al. BMPR2 mutations in pulmonary arterial hypertension with congenital heart disease. Eur Respir J 2004;24:371-4.
- Harrison RE, et al. Molecular and functional analysis identiÞ es ALK-1 as the predominant cause of pulmonary hypertension related to hereditary haemorrhagic telangiectasia. J Med Genet 2003;40:865-71.
- Trembath RC. Mutations in the TGF-a type 1 receptor, ALK1, in combined primary pulmonary hypertension and hereditary haemorrhagic telangiectasia, implies pathway specip city. J Heart Lung Transplant 2001;20:175.
- Trembath RC, et al. Clinical and molecular genetic features of pulmonary hypertension in patients with hereditary hemorrhagic telangiectasia. N Engl J Med 2001;345:325-34.
- Leuchte HH, et al. N-terminal pro-brain natriuretic peptide and renal insu. ciency as predictors of mortality in pulmonary hypertension. Chest 2007;131:402-9.
- Blyth KG, et al. NT-proBNP can be used to detect right ventricular systolic dysfunction in pulmonary hypertension. Eur Respir J 2007;29:737-44.
- Souza R, et al NT-proBNP as a tool to stratify disease severity in pulmonary arterial hypertension. Respir Med 2007;101:69-75.
- Leuchte HH, et al. Brain natriuretic peptide is a prognostic parameter in chronic lung disease. Am J Respir Crit Care Med 2006;173:744-50.
- Alkowska A, et al. Serum N-terminal brain natriuretic peptide as a prognostic parameter in patients with pulmonary hypertension. Chest 2006;129:1313-21.
- Leuchte HH, et al. Characterization of brain natriuretic peptide in long-term follow-up of pulmonary arterial hypertension. Chest 2005;128:2368-74.
- Souza R, et al. N-terminal-pro-brain natriuretic peptide as a haemodynamic marker in idiopathic pulmonary arterial hypertension. Eur Respir J 2005;25:509-13.
- Leuchte HH, et al. Clinical signiÞ cance of brain natriuretic peptide in primary pulmonary hypertension. J Am Coll Cardiol 2004;43:764-70.
- Leuchte HH, et al. Brain natriuretic peptide and exercise capacity in lung Þ brosis and pulmonary hypertension. Am J Respir Crit Care Med 2004;170:360-5.
- Nagaya N, et al. Plasma brain natriuretic peptide as a prognostic indicator in patients with primary pulmonary hypertension. Circulation 2000;102:865-70.
- Nagaya N, et al. Plasma brain natriuretic peptide levels increase in proportion to the extent of right ventricular dysfunction in pulmonary hypertension. J Am Coll Cardiol 1998;31:202-8.
- Sudoh T, et al A new natriuretic peptide in porcine brain. Nature 1988;33215:78-81.
- Mukoyama M, et al. Brain natriuretic peptide as a novel cardiac hormone in humans: Evidence for an exquisite dual natriuretic peptide system, atrial natriuretic peptide and brain natriuretic peptide. J Clin Invest 1991;87:1402-12.
- Hama N, et al. Rapid ventricular induction of brain natriuretic peptide gene expression in experimental acute myocardial infarction. Circulation 1995;92:1558-64.
- Holmes SJ, et al Renal, endocrine, and hemodynamic e. ects of human brain natriuretic peptide in normal man. J Clin Endocrinol Metab 1993;76:91-6.
- Hall C. Essential biochemistry and physiology of (NT-pro) BNP. Eur J Heart Fail 2004;6:257-60.
- Torbicki A, et al. Detectable serum cardiac troponin T as a marker of poor prognosis among patients with chronic precapillary pulmonary hypertension. Circulation 2003;108:844-8.
- Nagaya N, et al. Serum uric acid levels correlate with the severity and the mortality of primary pulmonary hypertension. Am J Respir Crit Care Med 1999;160:487-92.
- Nickel N, et al. Growth di. erentiation factor-15 in idiopathic pulmonary arteria hypertension. Am J Respir Crit Care Med 2008;178:534-41.
- Shah SJ, et al Gomberg-Maitland M. Association of serum creatinine with abnormal hemodynamics and mortality in pulmonary arterial hypertension. Circulation 2008;117:2475-83.
- Gharib H, Goellner JR: Fine-needle aspiration biopsy of the thyroid: An appraisal. Ann Intern Med 118:282-289, 1993.
- Greenlee RT, Hill-Harmon MB, Murray T, et al: Cancer statistics,2001. CA Cancer J Clin 51:15-36, 2001.
- Goellner JR, Gharib H, Grant CS, et al: Fine needle aspirationcytology of the thyroid, 1980 to 1986. Acta Cytol 31:587-590, 1987.
- Caraway NP, Sneige N, Samaan NA: Diagnostic pitfalls in thyroid fine-needle aspiration: A review of 394 cases. Diagn Cytopathol 9:345-350, 1993.
- Ravetto C, Colombo L, Dottorini ME: Usefulness of fine-needle aspiration in the diagnosis of thyroid carcinoma: A retrospective study in 37,895 patients. Cancer 90:357-363, 2000.
- Wiseman SM, Baliski C, Irvine R, et al: Hemithyroidectomy: The optimal initial surgical approach for individuals undergoing surgery for a cytological diagnosis of follicular neoplasm. Ann Surg Oncol 13:425-432, 2006.
- Griffith OL, et al: Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analyses. Genomics 86:476-488, 2005.
- Braunwald E, et al. ACC/AHA 2002 Guideline update for the management of patients with unstable angina and non-ST-segment elevation myocardial infarction.
- Bertrand ME, et al. Management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. The Task Force on the Management of Acute Coronary Syndromes of the European Society of Cardiology. Eur Heart J 2002;23:1809-1840.
- Antman EM, et al. ACC/AHA guidelines for the management of patients with ST-elevation myocardial infarction.
- Van de Werf F, et al. Management of acute myocardial infarction inpatients presenting with ST-segment elevation The Task Force on the Management of Acute Myocardial Infarction of the European Society of Cardiology. Eur Heart J 2003;24:28-66.
- Holvoet P. Oxidative modification of low-density lipoproteins in atherothrombosis. Acta Cardiol 1998;53:253-260.
- Association between myeloperoxidase levels and risk of coronary artery disease. JAMA 2001;286:2136-2142.
- Wu AHB, et al. Ischemia modified albumin, free fatty acids, whole blood choline, B-type natriuretic peptide, glycogen phosphorylase BB, and cardiac troponin. Wu AHB eds. Cardiac markers 2003:259-278 Humana Press Totowa, NJ.
- Visse R, Nagase H. Matrix metalloproteinases and tissue inhibitors of metalloproteinases; structure, function and biochemistry. Circ Res 2003;92:827-839.
- Wald NJ et al Serum screening for Down's syndrome between 8 and 14 weeks of pregnancy for the International Prenatal Screening Research Group. Br J Obstet Gynaecol 1996;103:407-412.
- Lawrence JB, et al. The insulin-like growth factor (IGF)-dependent IGF binding protein-4 protease secreted by human fibroblasts is pregnancy-associated plasma protein-A. Proc Nat Acad Sci U S A 1999;96:3149-3153.
- Beaudeux JL, et al. Serum plasma pregnancy-associated protein A. A potential marker of echogenic carotid atherosclerotic plaques in asymptomatic hyperlipidemic subjects at high cardiovascular risk. Arterioscler Thromb Vasc Biol 2003;23:e7-e10.
- Stulc T, et al. Increased levels of pregnancy associated plasma protein-A in patients with hypercholesterolemia: the effect of atorvastatin treatment. Am Heart J 2003;146:e21.
- Bayes-Genis A, et al. Insulin-like growth factor binding protein-4 protease produced by smooth muscle cells increases in the coronary artery after angioplasty. Arterioscler Thromb Vasc Biol 2001;21:335-341.
- Baylin, S.B. (2005) DNA methylation and gene silencing in cancer. Nat. Clin. Pract. Oncol. 2 Suppl 1, S4-11. 20.
- Belinsky, S.A. (2004) Gene-promoter hypermethylation as a biomarker in lung cancer. Nat. Rev. Cancer 4, 707-717.
- Ludwig, J.A. and Weinstein, J.N. (2005) Biomarkers in cancer staging, prognosis and treatment selection. Nat. Rev. Cancer 5, 845-856.
- Wistuba, II, Lam, Set al. (1997) Molecular damage in the bronchial epithelium of current and former smokers. J. Natl. Cancer Inst. 89, 1366-1373.
- Senchenko, V.N. et al Discovery of frequent homozygous deletions in chromosome 3p21.3 LUCA and AP20 regions in renal, lung and breast carcinomas. Oncogene 23, 5719-5728.
- Wiest, J.S., et al.(1997) Genetic markers for early detection of lung cancer and outcome measures for response to chemoprevention. J. Cell Biochem. Suppl. 28-29, 64-73.
- Zabarovsky, E. et al (2002) Tumor suppressor genes on chromosome 3p involved in the pathogenesis of lung and other cancers. Oncogene 21, 6915-6935.
- Xue, X., Zhu, Y.M. and Woll, P.J. (2006) Circulating DNA and lung cancer. Ann. N.Y. Acad. Sci. 1075, 154-164.
- Mao, L., et al (1997) Clonal genetic alterations in the lungs of current and former smokers. J. Natl. Cancer Inst. 89, 857-862.
- Wistuba, II, Behrens, et al (1999) Sequential molecular abnormalities are involved in the multistage development of squamous cell lung carcinoma. Oncogene 18, 643-650.
- Chung, G.T.et al (1995) Sequential molecular genetic changes in lung cancer development. Oncogene 11, 2591-2598.
- Belinsky, S.A., et al (1998) Aberrant methylation of p16(INK4a) is an early event in lung cancer and a potential biomarker for early diagnosis. Proc. Natl. Acad. Sci. U.S.A. 95, 11891-11896.
- Chaussade, L., et al. (2001) Expression of p15 and p15.5 products in neuroendocrine lung tumours: relationship with p15(INK4b) methylation status. Oncogene 20, 6587-6596.
- Esteller, M., et al. (1999) Detection of aberrant promoter hypermethylation of tumor suppressor genes in serum DNA from non-small cell lung cancer patients. Cancer Res. 59, 67-70.
- Kurakawa, E., et al. (2001) Hypermethylation of p16 (INK4a) and p15(INK4b) genes in non-small cell lung cancer. Int. J. Oncol. 19, 277-281.
- Palmisano, W.A. et al. (2000) Predicting lung cancer by detecting aberrant promoter methylation in sputum. Cancer Res. 60, 5954-5958.
- Virmani, A.K., et al (2000) Promoter methylation and silencing of the retinoic acid receptor-beta gene in lung carcinomas. J. Natl. Cancer Inst. 92, 1303-1307.
- Zochbauer-Muller, et al. (2001) Aberrant promoter methylation of multiple genes in non-small cell lung cancers. Cancer Res. 61, 249-255. D.H. (2006) Cohypermethylation of p16, and FHIT promoters as a prognostic factor of recurrence in surgically resected stage I nonsmall cell lung cancer. Cancer Res. 66, 4049-4054.