Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Gerard Maurer is active.

Publication


Featured researches published by Gerard Maurer.


Nature Biotechnology | 2010

Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies

Vishal S. Vaidya; Josef S. Ozer; Frank Dieterle; Fitz B. Collings; Victoria Ramírez; Sean P. Troth; Nagaraja Muniappa; Douglas Thudium; David Gerhold; Daniel J. Holder; Norma A. Bobadilla; Estelle Marrer; Elias Perentes; André Cordier; Jacky Vonderscher; Gerard Maurer; Peter L. Goering; Frank D. Sistare; Joseph V. Bonventre

Kidney toxicity accounts both for the failure of many drug candidates as well as considerable patient morbidity. Whereas histopathology remains the gold standard for nephrotoxicity in animal systems, serum creatinine (SCr) and blood urea nitrogen (BUN) are the primary options for monitoring kidney dysfunction in humans. The transmembrane tubular protein kidney injury molecule-1 (Kim-1) was previously reported to be markedly induced in response to renal injury. Owing to the poor sensitivity and specificity of SCr and BUN, we used rat toxicology studies to compare the diagnostic performance of urinary Kim-1 to BUN, SCr and urinary N-acetyl-β-D-glucosaminidase (NAG) as predictors of kidney tubular damage scored by histopathology. Kim-1 outperforms SCr, BUN and urinary NAG in multiple rat models of kidney injury. Urinary Kim-1 measurements may facilitate sensitive, specific and accurate prediction of human nephrotoxicity in preclinical drug screens. This should enable early identification and elimination of compounds that are potentially nephrotoxic.


Nature Biotechnology | 2010

Renal biomarker qualification submission: a dialog between the FDA-EMEA and Predictive Safety Testing Consortium

Frank Dieterle; Frank D. Sistare; Federico Goodsaid; Marisa Papaluca; Josef S. Ozer; Craig P. Webb; William Baer; Anthony J. Senagore; Matthew J. Schipper; Jacky Vonderscher; Stefan Sultana; David Gerhold; Jonathan A. Phillips; Gerard Maurer; Kevin Carl; David Laurie; Ernie Harpur; Manisha Sonee; Daniela Ennulat; Dan Holder; Dina Andrews-Cleavenger; Yi Zhong Gu; Karol L. Thompson; Peter L. Goering; Jean Marc Vidal; Eric Abadie; Romaldas Mačiulaitis; David Jacobson-Kram; Albert DeFelice; Elizabeth Hausner

The first formal qualification of safety biomarkers for regulatory decision making marks a milestone in the application of biomarkers to drug development. Following submission of drug toxicity studies and analyses of biomarker performance to the Food and Drug Administration (FDA) and European Medicines Agency (EMEA) by the Predictive Safety Testing Consortiums (PSTC) Nephrotoxicity Working Group, seven renal safety biomarkers have been qualified for limited use in nonclinical and clinical drug development to help guide safety assessments. This was a pilot process, and the experience gained will both facilitate better understanding of how the qualification process will probably evolve and clarify the minimal requirements necessary to evaluate the performance of biomarkers of organ injury within specific contexts.


Nature Biotechnology | 2010

Urinary clusterin, cystatin C, β2-microglobulin and total protein as markers to detect drug-induced kidney injury

Frank Dieterle; Elias Perentes; André Cordier; Daniel Robert Roth; Pablo Verdes; Olivier Grenet; Serafino Pantano; Pierre Moulin; Daniel Wahl; Andreas Mahl; Peter End; Frank Staedtler; Francois Legay; Kevin Carl; David Laurie; Salah-Dine Chibout; Jacky Vonderscher; Gerard Maurer

Earlier and more reliable detection of drug-induced kidney injury would improve clinical care and help to streamline drug-development. As the current standards to monitor renal function, such as blood urea nitrogen (BUN) or serum creatinine (SCr), are late indicators of kidney injury, we conducted ten nonclinical studies to rigorously assess the potential of four previously described nephrotoxicity markers to detect drug-induced kidney and liver injury. Whereas urinary clusterin outperformed BUN and SCr for detecting proximal tubular injury, urinary total protein, cystatin C and β2-microglobulin showed a better diagnostic performance than BUN and SCr for detecting glomerular injury. Gene and protein expression analysis, in-situ hybridization and immunohistochemistry provide mechanistic evidence to support the use of these four markers for detecting kidney injury to guide regulatory decision making in drug development. The recognition of the qualification of these biomarkers by the EMEA and FDA will significantly enhance renal safety monitoring.


Nature Biotechnology | 2010

A panel of urinary biomarkers to monitor reversibility of renal injury and a serum marker with improved potential to assess renal function

Josef S. Ozer; Frank Dieterle; Sean P. Troth; Elias Perentes; André Cordier; Pablo Verdes; Frank Staedtler; Andreas Mahl; Olivier Grenet; Daniel Robert Roth; Daniel Wahl; Francois Legay; Daniel J. Holder; Zoltan Erdos; Katerina Vlasakova; Hong Jin; Yan Yu; Nagaraja Muniappa; Tom Forest; Holly Clouse; Spencer Reynolds; Wendy J. Bailey; Douglas Thudium; Michael J Topper; Thomas R. Skopek; Joseph F. Sina; Warren E. Glaab; Jacky Vonderscher; Gerard Maurer; Salah-Dine Chibout

The Predictive Safety Testing Consortiums first regulatory submission to qualify kidney safety biomarkers revealed two deficiencies. To address the need for biomarkers that monitor recovery from agent-induced renal damage, we scored changes in the levels of urinary biomarkers in rats during recovery from renal injury induced by exposure to carbapenem A or gentamicin. All biomarkers responded to histologic tubular toxicities to varied degrees and with different kinetics. After a recovery period, all biomarkers returned to levels approaching those observed in uninjured animals. We next addressed the need for a serum biomarker that reflects general kidney function regardless of the exact site of renal injury. Our assay for serum cystatin C is more sensitive and specific than serum creatinine (SCr) or blood urea nitrogen (BUN) in monitoring generalized renal function after exposure of rats to eight nephrotoxicants and two hepatotoxicants. This sensitive serum biomarker will enable testing of renal function in animal studies that do not involve urine collection.


Nature Biotechnology | 2010

Towards consensus practices to qualify safety biomarkers for use in early drug development

Frank D. Sistare; Frank Dieterle; Sean P. Troth; Daniel J. Holder; David Gerhold; Dina Andrews-Cleavenger; William Baer; Graham Betton; Denise I. Bounous; Kevin Carl; Nathaniel Collins; Peter L. Goering; Federico Goodsaid; Yi Zhong Gu; Valerie Guilpin; Ernie Harpur; Alita Hassan; David Jacobson-Kram; Peter Kasper; David Laurie; Beatriz Silva Lima; Romaldas Mačiulaitis; William Mattes; Gerard Maurer; Leslie Obert; Josef S. Ozer; Marisa Papaluca-Amati; Jonathan A. Phillips; Mark Pinches; Matthew J. Schipper

Application of any new biomarker to support safety-related decisions during regulated phases of drug development requires provision of a substantial data set that critically assesses analytical and biological performance of that biomarker. Such an approach enables stakeholders from industry and regulatory bodies to objectively evaluate whether superior standards of performance have been met and whether specific claims of fit-for-purpose use are supported. It is therefore important during the biomarker evaluation process that stakeholders seek agreement on which critical experiments are needed to test that a biomarker meets specific performance claims, how new biomarker and traditional comparators will be measured and how the resulting data will be merged, analyzed and interpreted.


Pharmaceutical Research | 2005

VeloceGenomics: An Accelerated in Vivo Drug Discovery Approach to Rapidly Predict the Biologic, Drug-Like Activity of Compounds, Proteins, or Genes

Ruben Papoian; Andreas Scherer; Muriel Saulnier; Frank Staedtler; André Cordier; Francois Legay; Gerard Maurer; Joerg Staeheli; Jacky Vonderscher; Salah-Dine Chibout

PurposeThe aim of this study is to test the predictive power of in vivo multiorgan RNA expression profiling in identifying the biologic activity of molecules.MethodsAnimals were treated with compound A or B. At the end of the treatment period, in vivo multiorgan microarray-based gene expression data were collected. Investigators masked to the identity of the compounds analyzed the transcriptome signatures to define the molecular pathways affected by treatment and to hypothesize the biologic activity and potential therapeutic indications of the blinded compounds.ResultsFor compound A, G-protein-coupled receptors and factors associated with cell growth were affected—growth hormone/insulin-like growth factor-1, glucagon/insulin axes, and general somatomedin-like activity. Deblinding showed the compound to be a somatostatin analog, SOM230, confirming the accuracy of the predicted biologic activity. For compound B, components of the inflammatory cascade potentially mediated by lipopolysaccharide, tumor necrosis factor, or proinflammatory cytokines were affected. The gene expression signatures were most consistent with an interleukin-6 family activity. Deblinding revealed that compound B was leukemia inhibitory factor.ConclusionsVeloceGenomics is a strategy of coupling in vivo compound testing with genomic technologies. The process enables prediction of the mechanism of action and, coupled with other relevant data, prediction of the suitability of compounds for advancement in the drug development process.


Archive | 2008

Predictive renal safety biomarkers and biomarker signatures to monitor kidney function

Gerard Maurer; Frank Dieterle; Elias Perentes; Frank Städtler; André Cordier; Andreas Mahl; Jacky Vonderscher; Daniel Wahl; Olivier Grenet; Daniel Robert Roth


Archive | 2008

Use of β-2-microglobulin to assess glomerular alterations and damage in the kidney

Gerard Maurer; Frank Dieterle; Elias Perentes; Frank Städtler; André Cordier; Andreas Mahl; Jacky Vonderscher; Daniel Wahl; Olivier Grenet; Daniel Robert Roth


Archive | 2008

Biomarkers predictive kidney safety biomarker signals to monitor renal function

Gerard Maurer; Daniel Robert Roth; Frank Dieterle; Elias Prentes; Frank Städtler; André Cordier; Andreas Mahl; Jacky Vonderscher; Daniel Wahl; Olivier Grenet


Archive | 2008

predictive biomarkers of renal security and signatures of biomarkers to monitor renal function

Gerard Maurer; Frank Dieterle; Elias Perentes; Frank Städtler; André Cordier; Andreas Mahl; Jacky Vonderscher; Daniel Wahl; Olivier Grenet; Daniel Robert Roth

Collaboration


Dive into the Gerard Maurer's collaboration.

Researchain Logo
Decentralizing Knowledge