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Dive into the research topics where Daniel J. Holder is active.

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Featured researches published by Daniel J. Holder.


The New England Journal of Medicine | 1997

Treatment with Indinavir, Zidovudine, and Lamivudine in Adults with Human Immunodeficiency Virus Infection and Prior Antiretroviral Therapy

Roy M. Gulick; John W. Mellors; Diane V. Havlir; Joseph J. Eron; Charles Gonzalez; Deborah McMahon; Douglas D. Richman; Fred T. Valentine; Leslie Jonas; Anne Meibohm; Emilio A. Emini; Jeffrey A. Chodakewitz; Paul J. Deutsch; Daniel J. Holder; William A. Schleif; Jon H. Condra

BACKGROUND The new protease inhibitors are potent inhibitors of the human immunodeficiency virus (HIV), and in combination with other antiretroviral drugs they may be able to cause profound and sustained suppression of HIV replication. METHODS In this double-blind study, 97 HIV-infected patients who had received zidovudine treatment for at least 6 months and had 50 to 400 CD4 cells per cubic millimeter and at least 20,000 copies of HIV RNA per milliliter were randomly assigned to one of three treatments for up to 52 weeks: 800 mg of indinavir every eight hours; 200 mg of zidovudine every eight hours combined with 150 mg of lamivudine twice daily; or all three drugs. The patients were followed to monitor the occurrence of adverse events and changes in viral load and CD4 cell counts. RESULTS The decrease in HIV RNA over the first 24 weeks was greater in the three-drug group than in the other groups (P<0.001 for each comparison). RNA levels decreased to less than 500 copies per milliliter at week 24 in 28 of 31 patients in the three-drug group (90 percent), 12 of 28 patients in the indinavir group (43 percent), and none of 30 patients in the zidovudine-lamivudine group. The increase in CD4 cell counts over the first 24 weeks was greater in the two groups receiving indinavir than in the zidovudine-lamivudine group (P< or =0.01 for each comparison). The changes in the viral load and the CD4 cell count persisted for up to 52 weeks. All the regimens were generally well tolerated. CONCLUSIONS In most HIV-infected patients with prior antiretroviral therapy, the combination of indinavir, zidovudine, and lamivudine reduces levels of HIV RNA to less than 500 copies per milliliter for as long as one year.


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.


Neuroscience | 2002

Chronic neuropathic pain is accompanied by global changes in gene expression and shares pathobiology with neurodegenerative diseases

Hao Wang; H. Sun; K. Della Penna; R.J Benz; Jian Xu; David Gerhold; Daniel J. Holder; Kenneth S. Koblan

Neuropathic pain is induced by injury or disease of the nervous system. Studies aimed at understanding the molecular pathophysiology of neuropathic pain have so far focused on a few known molecules and signaling pathways in neurons. However, the pathophysiology of neuropathic pain appears to be very complex and remains poorly understood. A global understanding of the molecular mechanisms involved in neuropathic pain is needed for a better understanding of the pathophysiology and treatment of neuropathic pain. Towards this end, we examined global gene expression changes as well as the pathobiology at the cellular level in a spinal nerve ligation neuropathic pain model using DNA microarray, quantitative real-time PCR and immunohistochemistry. We found that the behavioral hypersensitivity that is manifested in the persistent pain state is accompanied by previously undescribed changes in gene expression. In the DRG, we found regulation of: (1) immediate early genes; (2) genes such as ion channels and signaling molecules that contribute to the excitability of neurons; and (3) genes that are indicative of secondary events such as neuroinflammation. In addition, we studied gene regulation in both injured and uninjured DRG by quantitative PCR, and observed differential gene regulation in these two populations of DRGs. Furthermore, we demonstrated unexpected co-regulation of many genes, especially the activation of neuroinflammation markers in both the PNS and CNS. The results of our study provide a new picture of the molecular mechanisms that underlie the complexity of neuropathic pain and suggest that chronic pain shares common pathobiology with progressive neurodegenerative disease.


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.


Endocrinology | 2002

Gene Expression Profile of Adipocyte Differentiation and Its Regulation by Peroxisome Proliferator-Activated Receptor-γ Agonists

David Gerhold; Franklin Liu; Guoqiang Jiang; Zhihua Li; Jian Xu; Meiqing Lu; Jeffrey R. Sachs; Ansuman Bagchi; Arthur Fridman; Daniel J. Holder; Thomas W. Doebber; Joel Berger; Alex Elbrecht; David E. Moller; Bei B. Zhang

PPARγ is an adipocyte-specific nuclear hormone receptor. Agonists of PPARγ, such as thiazolidinediones (TZDs), promote adipocyte differentiation and have insulin-sensitizing effects in animals and diabetic patients. Affymetrix oligonucleotide arrays representing 6347 genes were employed to profile the gene expression responses of mature 3T3-L1 adipocytes and differentiating preadipocytes to a TZD PPARγ agonist in vitro. The expression of 579 genes was significantly up- or down-regulated by more than 1.5-fold during differentiation and/or by treatment with TZD, and these genes were organized into 32 clusters that demonstrated concerted changes in expression of genes controlling cell growth or lipid metabolism. Quantitative PCR was employed to further characterize gene expression and led to the identification of β-catenin as a new PPARγ target gene. Both mRNA and protein levels for β-catenin were down-regulated in 3T3-L1 adipocytes compared with fibroblasts and were further decreased by treatment of adipocy...


Nature Biotechnology | 2010

Urinary biomarkers trefoil factor 3 and albumin enable early detection of kidney tubular injury

Yan Yu; Hong Jin; Daniel J. Holder; Josef S. Ozer; Stephanie Villarreal; Paul J. Shughrue; Shu Shi; David J Figueroa; Holly Clouse; Ming Su; Nagaraja Muniappa; Sean P. Troth; Wendy J. Bailey; John Seng; Amy G. Aslamkhan; Douglas Thudium; Frank D. Sistare; David Gerhold

The capacities of urinary trefoil factor 3 (TFF3) and urinary albumin to detect acute renal tubular injury have never been evaluated with sufficient statistical rigor to permit their use in regulated drug development instead of the current preclinical biomarkers serum creatinine (SCr) and blood urea nitrogen (BUN). Working with rats, we found that urinary TFF3 protein levels were markedly reduced, and urinary albumin were markedly increased in response to renal tubular injury. Urinary TFF3 levels did not respond to nonrenal toxicants, and urinary albumin faithfully reflected alterations in renal function. In situ hybridization localized TFF3 expression in tubules of the outer stripe of the outer medulla. Albumin outperformed either SCr or BUN for detecting kidney tubule injury and TFF3 augmented the potential of BUN and SCr to detect kidney damage. Use of urinary TFF3 and albumin will enable more sensitive and robust diagnosis of acute renal tubular injury than traditional biomarkers.


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.


Neuron | 2005

Regulation of Gene Expression by Lithium and Depletion of Inositol in Slices of Adult Rat Cortex

Philip E. Brandish; Ming Su; Daniel J. Holder; Paul Hodor; John Szumiloski; Robert Kleinhanz; Jaime E. Forbes; Mollie McWhorter; Sven Duenwald; Mark L Parrish; Sang Na; Yuan Liu; Robert Phillips; John J. Renger; Sethu Sankaranarayanan; Adam J. Simon; Edward M. Scolnick

Lithium inhibits inositol monophosphatase at therapeutically effective concentrations, and it has been hypothesized that depletion of brain inositol levels is an important chemical alteration for lithiums therapeutic efficacy in bipolar disorder. We have employed adult rat cortical slices as a model to investigate the gene regulatory consequences of inositol depletion effected by lithium using cytidine diphosphoryl-diacylglycerol as a functionally relevant biochemical marker to define treatment conditions. Genes coding for the neuropeptide hormone pituitary adenylate cyclase activating polypeptide (PACAP) and the enzyme that processes PACAPs precursor to the mature form, peptidylglycine alpha-amidating monooxygenase, were upregulated by inositol depletion. Previous work has shown that PACAP can increase tyrosine hydroxylase (TH) activity and dopamine release, and we found that the gene for GTP cyclohydrolase, which effectively regulates TH through synthesis of tetrahydrobiopterin, was also upregulated by inositol depletion. We propose that modulation of brain PACAP signaling might represent a new opportunity in the treatment of bipolar disorder.


Ophthalmology | 1991

MK-507 versus Sezolamide: Comparative Efficacy of Two Topically Active Carbonic Anhydrase Inhibitors

Erik A. Lippa; Joel S. Schuman; Eve J. Higginbotham; Michael A. Kass; Robert N. Weinreb; Gregory L. Skuta; David L. Epstein; Blake R. Shaw; Daniel J. Holder; Deni A. Deasy; Jacob T. Wilensky

Topical carbonic anhydrase inhibitors MK-507 and sezolamide hydrochloride (previously known as MK-417) were compared in a double-masked, randomized, placebo-controlled study in 82 patients with bilateral primary open-angle glaucoma or ocular hypertension. MK-507 was given every 8 or 12 hours, sezolamide every 8 hours, or placebo every 8 or 12 hours for 4 days. Both drugs lowered intraocular pressure (IOP) substantially. MK-507 was somewhat more active than sezolamide, with a peak mean IOP reduction of 26.2% for MK-507 versus 22.5% for sezolamide, although the difference between the treatments was not statistically significant. These drugs may have potential in the treatment of glaucoma.


Journal of Biomolecular Screening | 2007

The Use of Strictly Standardized Mean Difference for Hit Selection in Primary RNA Interference High-Throughput Screening Experiments

Xiaohua Douglas Zhang; Marc Ferrer; Amy S. Espeseth; Shane Marine; Erica Stec; Michael A. Crackower; Daniel J. Holder; Joseph F. Heyse; Berta Strulovici

RNA interference (RNAi) high-throughput screening (HTS) has been hailed as the 2nd genomics wave following the 1st genomics wave of gene expression microarrays and single-nucleotide polymorphism discovery platforms. Following an RNAi HTS, the authors are interested in identifying short interfering RNA (siRNA) hits with large inhibition/activation effects. For hit selection, the z-score method and its variants are commonly used in primary RNAi HTS experiments. Recently, strictly standardized mean difference (SSMD) has been proposed to measure the siRNA effect represented by the magnitude of difference between an siRNA and a negative reference group. The links between SSMD and d +-probability offer a clear interpretation of siRNA effects from a probability perspective. Hence, SSMD can be used as a ranking metric for hit selection. In this article, the authors investigated both the SSMD-based testing process and the use of SSMD as a ranking metric for hit selection in 2 primary siRNA HTS experiments. The analysis results showed that, as a ranking metric, SSMD was more stable and reliable than percentage inhibition and led to more robust hit selection results. Using the SSMD -based testing method, the false-negative rate can more readily be obtained. More important, the use of the SSMD-based method can result in a reduction in both the false-negative and false-positive rates. The applications presented in this article demonstrate that the SSMD method addresses scientific questions and fills scientific needs better than both percentage inhibition and the commonly used z-score method for hit selection. (Journal of Biomolecular Screening 2007:497-509)

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Emilio A. Emini

United States Military Academy

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Adam J. Simon

United States Military Academy

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Jian Xu

United States Military Academy

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