Literature DB >> 21448748

Translational biomarkers: from preclinical to clinical a report of 2009 AAPS/ACCP Biomarker Workshop.

Jane P F Bai1, Robert Bell, ShaAvhree Buckman, Gilbert J Burckart, Hans-Georg Eichler, Kenneth C Fang, Federico M Goodsaid, William J Jusko, Lawrence L Lesko, Bernd Meibohm, Scott D Patterson, Oscar Puig, Jeffrey B Smerage, Barbara J Snider, John A Wagner, Jingsong Wang, Marc K Walton, Russell Weiner.   

Abstract

There have been some successes in qualifying biomarkers and applying them to drug development and clinical treatment of various diseases. A recent success is illustrated by a collaborative effort among the US Food and Drug Administration, the European Medicines Agency, and the pharmaceutical industry to provide a set of seven preclinical kidney toxicity biomarkers for drug development. Other successes include, but are not limited to, clinical biomarkers for cancer treatment and clinical management of heart transplant patients. The value of fully qualified surrogate endpoints in facilitating successful drug development is undisputed, especially for diseases in which the traditional clinical outcome can only be assessed in large, multi-year trials. Emerging biomarkers, including chemical genomic or imaging biomarkers, and measurement of circulating tumor cells hold great promise for early diagnosis of disease and as prognostic tests for managing treatment of chronic diseases such as osteoarthritis, Alzheimer disease, cardiovascular disease, and cancer. To advance the success of treating and managing these diseases, efforts are needed to establish the temporal relationship between changes in inflammatory or imaging biomarkers with the progression of the chronic disease, and in the case of cancer, between the extent of circulating cancer cells and tumor progression or remission.

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Year:  2011        PMID: 21448748      PMCID: PMC3085704          DOI: 10.1208/s12248-011-9265-x

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


  22 in total

1.  Biomarkers and surrogate end points for fit-for-purpose development and regulatory evaluation of new drugs.

Authors:  J A Wagner; S A Williams; C J Webster
Journal:  Clin Pharmacol Ther       Date:  2007-01       Impact factor: 6.875

2.  Gene expression profiling distinguishes a molecular signature for grade 1B mild acute cellular rejection in cardiac allograft recipients.

Authors:  Daniel Bernstein; Gavin E Williams; Howard Eisen; Seema Mital; Jay G Wohlgemuth; Tod M Klingler; Kenneth C Fang; Mario C Deng; Jon Kobashigawa
Journal:  J Heart Lung Transplant       Date:  2007-12       Impact factor: 10.247

Review 3.  Strategic approach to fit-for-purpose biomarkers in drug development.

Authors:  John A Wagner
Journal:  Annu Rev Pharmacol Toxicol       Date:  2008       Impact factor: 13.820

4.  Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. Cardiovascular Health Study Collaborative Research Group.

Authors:  D H O'Leary; J F Polak; R A Kronmal; T A Manolio; G L Burke; S K Wolfson
Journal:  N Engl J Med       Date:  1999-01-07       Impact factor: 91.245

5.  Cerebrospinal fluid tau/beta-amyloid(42) ratio as a prediction of cognitive decline in nondemented older adults.

Authors:  Anne M Fagan; Catherine M Roe; Chengjie Xiong; Mark A Mintun; John C Morris; David M Holtzman
Journal:  Arch Neurol       Date:  2007-01-08

6.  Effect of aggressive versus conventional lipid lowering on atherosclerosis progression in familial hypercholesterolaemia (ASAP): a prospective, randomised, double-blind trial.

Authors:  T J Smilde; S van Wissen; H Wollersheim; M D Trip; J J Kastelein; A F Stalenhoef
Journal:  Lancet       Date:  2001-02-24       Impact factor: 79.321

Review 7.  MRI for development of disease-modifying osteoarthritis drugs.

Authors:  Deborah Burstein
Journal:  NMR Biomed       Date:  2006-10       Impact factor: 4.044

8.  Update on the clinical pharmacogenomics of organ transplantation.

Authors:  Gilbert J Burckart; Shashi Amur
Journal:  Pharmacogenomics       Date:  2010-02       Impact factor: 2.533

Review 9.  CSF markers for incipient Alzheimer's disease.

Authors:  Kaj Blennow; Harald Hampel
Journal:  Lancet Neurol       Date:  2003-10       Impact factor: 44.182

Review 10.  CSF total tau, Abeta42 and phosphorylated tau protein as biomarkers for Alzheimer's disease.

Authors:  K Blennow; E Vanmechelen; H Hampel
Journal:  Mol Neurobiol       Date:  2001 Aug-Dec       Impact factor: 5.682

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  15 in total

1.  Induction of osteoarthritis and metabolic inflammation by a very high-fat diet in mice: effects of short-term exercise.

Authors:  Timothy M Griffin; Janet L Huebner; Virginia B Kraus; Zhen Yan; Farshid Guilak
Journal:  Arthritis Rheum       Date:  2012-02

Review 2.  Pharmacokinetic/pharmacodynamic modeling in inflammation.

Authors:  Hoi-Kei Lon; Dongyang Liu; William J Jusko
Journal:  Crit Rev Biomed Eng       Date:  2012

Review 3.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

4.  Healthcare Data for Achieving a More Personalized Treatment of Chronic Kidney Disease.

Authors:  Francisco Herrera-Gómez; F Javier Álvarez
Journal:  Biomedicines       Date:  2021-04-29

5.  Recent developments in in vitro and in vivo models for improved translation of preclinical pharmacokinetics and pharmacodynamics data.

Authors:  Jaydeep Yadav; Mehdi El Hassani; Jasleen Sodhi; Volker M Lauschke; Jessica H Hartman; Laura E Russell
Journal:  Drug Metab Rev       Date:  2021-05-25       Impact factor: 6.984

Review 6.  Strategic applications of gene expression: from drug discovery/development to bedside.

Authors:  Jane P F Bai; Alexander V Alekseyenko; Alexander Statnikov; I-Ming Wang; Peggy H Wong
Journal:  AAPS J       Date:  2013-01-15       Impact factor: 3.603

7.  Analysis of a urinary biomarker panel for clinical outcomes assessment in cirrhosis.

Authors:  Xavier Ariza; Elsa Solà; Chiara Elia; Rogelio Barreto; Rebeca Moreira; Manuel Morales-Ruiz; Isabel Graupera; Ezequiel Rodríguez; Patricia Huelin; Cristina Solé; Javier Fernández; Wladimiro Jiménez; Vicente Arroyo; Pere Ginès
Journal:  PLoS One       Date:  2015-06-04       Impact factor: 3.240

8.  Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning.

Authors:  Anna L Swan; Kirsty L Hillier; Julia R Smith; David Allaway; Susan Liddell; Jaume Bacardit; Ali Mobasheri
Journal:  BMC Musculoskelet Disord       Date:  2013-12-13       Impact factor: 2.362

9.  PK/PD studies on non-selective PDE inhibitors in rats using cAMP as a marker of pharmacological response.

Authors:  Artur Świerczek; Elżbieta Wyska; Sebastian Baś; Marta Woyciechowska; Jacek Mlynarski
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2017-07-20       Impact factor: 3.000

Review 10.  Resolving breast cancer heterogeneity by searching reliable protein cancer biomarkers in the breast fluid secretome.

Authors:  Ferdinando Mannello; Daniela Ligi
Journal:  BMC Cancer       Date:  2013-07-12       Impact factor: 4.430

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