Literature DB >> 20232184

Successes achieved and challenges ahead in translating biomarkers into clinical applications.

Greg Tesch1, Shashi Amur, John T Schousboe, Jeffrey N Siegel, Lawrence J Lesko, Jane P F Bai.   

Abstract

Biomarkers are important tools for identifying and stratifying diseases, predicting their progression and determining the effectiveness, safety, and doses of therapeutic interventions. This is important for common chronic diseases such as diabetic nephropathy, osteoporosis, and rheumatoid arthritis which affect large numbers of patients worldwide. This article summarizes the current knowledge of established and novel biomarkers for each of these diseases as presented at the 2008 AAPS/ACCP joint symposium "Success Achieved and Challenges Ahead in Translating Biomarkers into Clinical Applications," in Atlanta, Georgia. The advantages and disadvantages of various proteomic, metabolomic, genomic, and imaging biomarkers are discussed in relation to disease diagnosis and stratification, prognosis, drug development, and potential clinical applications. The use of biomarkers as a means to determine therapeutic interventions is also considered. In addition, we show that biomarkers may be useful for adapting therapies for individual needs by allowing the selection of patients who are most likely to respond or react adversely to a particular treatment. They may also be used to determine whether the development of a novel therapy is worth pursuing by informing crucial go/no go decisions around safety and efficacy. Indeed, regulatory bodies now suggest that effective integration of biomarkers into clinical drug development programs is likely to promote the development of novel therapeutics and more personalized medicine.

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Year:  2010        PMID: 20232184      PMCID: PMC2895431          DOI: 10.1208/s12248-010-9182-4

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  64 in total

1.  Biomarker qualification pilot process at the US Food and Drug Administration.

Authors:  Federico Goodsaid; Felix Frueh
Journal:  AAPS J       Date:  2007-03-23       Impact factor: 4.009

Review 2.  Pharmacogenetics of hypersensitivity to abacavir: from PGx hypothesis to confirmation to clinical utility.

Authors:  A R Hughes; W R Spreen; M Mosteller; L L Warren; E H Lai; C H Brothers; C Cox; A J Nelsen; S Hughes; D E Thorborn; B Stancil; S V Hetherington; D K Burns; A D Roses
Journal:  Pharmacogenomics J       Date:  2008-03-11       Impact factor: 3.550

3.  Role of serum P1NP measurement for monitoring treatment response in osteoporosis.

Authors:  Michael Samoszuk; Michael Leuther; Nicholas Hoyle
Journal:  Biomark Med       Date:  2008-10       Impact factor: 2.851

4.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

5.  Biochemical markers of bone turnover are influenced by recently sustained fracture.

Authors:  Karl J Obrant; Kaisa K Ivaska; Paul Gerdhem; Sari L Alatalo; Kim Pettersson; H Kalervo Väänänen
Journal:  Bone       Date:  2005-03-31       Impact factor: 4.398

6.  Myofibroblasts and the progression of diabetic nephropathy.

Authors:  M Essawy; O Soylemezoglu; E C Muchaneta-Kubara; J Shortland; C B Brown; A M el Nahas
Journal:  Nephrol Dial Transplant       Date:  1997-01       Impact factor: 5.992

7.  Changes in bone density and turnover explain the reductions in incidence of nonvertebral fractures that occur during treatment with antiresorptive agents.

Authors:  Marc C Hochberg; Susan Greenspan; Richard D Wasnich; Paul Miller; Desmond E Thompson; Philip D Ross
Journal:  J Clin Endocrinol Metab       Date:  2002-04       Impact factor: 5.958

8.  New automated multiplex assay for bone turnover markers in osteoporosis.

Authors:  Aurélie Claudon; Philippe Vergnaud; Cécile Valverde; Anita Mayr; Ursula Klause; Patrick Garnero
Journal:  Clin Chem       Date:  2008-08-01       Impact factor: 8.327

9.  Systematic review: comparative effectiveness of treatments to prevent fractures in men and women with low bone density or osteoporosis.

Authors:  Catherine MacLean; Sydne Newberry; Margaret Maglione; Maureen McMahon; Veena Ranganath; Marika Suttorp; Walter Mojica; Martha Timmer; Alicia Alexander; Melissa McNamara; Sheetal B Desai; Annie Zhou; Susan Chen; Jason Carter; Carlo Tringale; Di Valentine; Breanne Johnsen; Jennifer Grossman
Journal:  Ann Intern Med       Date:  2007-12-17       Impact factor: 25.391

10.  Clinical utilities of peripheral blood gene expression profiling in the management of cardiac transplant patients.

Authors:  Kenneth C Fang
Journal:  J Immunotoxicol       Date:  2007-07       Impact factor: 3.000

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  9 in total

1.  Male fecundity prognosis and infertility diagnosis in the era of personalised medicine.

Authors:  Wen-Bing Zhu; Xing-Yu Long; Li-Qing Fan
Journal:  Asian J Androl       Date:  2010-06-21       Impact factor: 3.285

2.  Novel drug metabolism indices for pharmacogenetic functional status based on combinatory genotyping of CYP2C9, CYP2C19 and CYP2D6 genes.

Authors:  David Villagra; John Goethe; Harold I Schwartz; Bonnie Szarek; Mohan Kocherla; Krystyna Gorowski; Andreas Windemuth; Gualberto Ruaño
Journal:  Biomark Med       Date:  2011-08       Impact factor: 2.851

3.  Therapeutic Application of Pharmacogenomics in Oncology.

Authors:  Yingqi Zhang; Seumsack Dennis Somtakoune; Christina Cheung; Mario Listiawan; Xiaodong Feng
Journal:  AAPS J       Date:  2016-05-13       Impact factor: 4.009

4.  Odanacatib, a selective cathepsin K inhibitor to treat osteoporosis: safety, tolerability, pharmacokinetics and pharmacodynamics--results from single oral dose studies in healthy volunteers.

Authors:  S Aubrey Stoch; Stefan Zajic; Julie A Stone; Deborah L Miller; Lucas van Bortel; Kenneth C Lasseter; Barnali Pramanik; Caroline Cilissen; Qi Liu; Lida Liu; Boyd B Scott; Deborah Panebianco; Yu Ding; Keith Gottesdiener; John A Wagner
Journal:  Br J Clin Pharmacol       Date:  2013-05       Impact factor: 4.335

Review 5.  Clinical and translational pharmacology of the cathepsin K inhibitor odanacatib studied for osteoporosis.

Authors:  Julie A Stone; Jacqueline B McCrea; Rose Witter; Stefan Zajic; S Aubrey Stoch
Journal:  Br J Clin Pharmacol       Date:  2019-03-18       Impact factor: 4.335

6.  Urinary peptidomics and bioinformatics for the detection of diabetic kidney disease.

Authors:  Letícia de Almeida Brondani; Ariana Aguiar Soares; Mariana Recamonde-Mendoza; Angélica Dall'Agnol; Joíza Lins Camargo; Karina Mariante Monteiro; Sandra Pinho Silveiro
Journal:  Sci Rep       Date:  2020-01-27       Impact factor: 4.379

Review 7.  Lost in Translation (LiT): IUPHAR Review 6.

Authors:  Colin T Dollery
Journal:  Br J Pharmacol       Date:  2014-05       Impact factor: 8.739

Review 8.  Cytokines as biomarkers in rheumatoid arthritis.

Authors:  Agata Burska; Marjorie Boissinot; Frederique Ponchel
Journal:  Mediators Inflamm       Date:  2014-03-09       Impact factor: 4.711

9.  High levels of interleukin-6 in patients with rheumatoid arthritis are associated with greater improvements in health-related quality of life for sarilumab compared with adalimumab.

Authors:  Vibeke Strand; Susan H Boklage; Toshio Kimura; Florence Joly; Anita Boyapati; Jérôme Msihid
Journal:  Arthritis Res Ther       Date:  2020-10-20       Impact factor: 5.156

  9 in total

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