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Dive into the research topics where James P. Sluka is active.

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Featured researches published by James P. Sluka.


International Journal of Experimental Diabetes Research | 2000

Decreased expression of apM1 in omental and subcutaneous adipose tissue of humans with type 2 diabetes.

Michael A. Statnick; Lisa Selsam Beavers; Laura J. Conner; Helena Corominola; Dwayne Johnson; Craig Hammond; Ronit Rafaeloff-Phail; Thomas W. Seng; Todd M. Suter; James P. Sluka; Eric Ravussin; Robert Alan Gadski; Jose F. Caro

We have screened a subtracted cDNA library in order to identify differentially expressed genes in omental adipose tissue of human patients with Type 2 diabetes. One clone (#1738) showed a marked reduction in omental adipose tissue from patients with Type 2 diabetes. Sequencing and BLAST analysis revealed clone #1738 was the adipocyte-specific secreted protein gene apM1 (synonyms ACRP30, AdipoQ, GBP28). Consistent with the murine orthologue, apM1 mRNA was expressed in cultured human adipocytes and not in preadipocytes. Using RT-PCR we confirmed that apM1 mRNA levels were significantly reduced in omental adipose tissue of obese patients with Type 2 diabetes compared with lean and obese normoglycemic subjects. Although less pronounced, apM1 mRNA levels were reduced in subcutaneous adipose tissue of Type 2 diabetic patients. Whereas the biological function of apM1 is presently unknown, the tissue specific expression, structural similarities to TNFα and the dysregulated expression observed in obese Type 2 diabetic patients suggest that this factor may play a role in the pathogenesis of insulin resistance and Type 2 diabetes.


Journal of Cellular Biochemistry | 1998

Analysis of differential gene expression in rat tibia after an osteogenic stimulus in vivo: Mechanical loading regulates osteopontin and myeloperoxidase

Rebecca R. Miles; Charles H. Turner; R. F. Santerre; Yuan Tu; Pam Mcclelland; Jeanne Argot; Bradley S. Dehoff; Christopher W. Mundy; Paul Robert Rosteck; Joseph P. Bidwell; James P. Sluka; Janet M. Hock; Jude Onyia

The skeleton has the ability to alter its mass, geometry, and strength in response to mechanical stress. In order to elucidate the molecular mechanisms underlying this phenomenon, differential display reverse transcriptase‐polymerase chain reaction (DDRT‐PCR) was used to analyze gene expression in endocortical bone of mature female rats. Female Sprague‐Dawley rats, approximately 8 months old, received either a sham or bending load using a four‐point loading apparatus on the right tibia. RNA was collected at 1 h and 24 h after load was applied, reverse‐transcribed into cDNA, and used in DDRT‐PCR. Parallel display of samples from sham and loaded bones on a sequencing gel showed several regulated bands. Further analysis of seven of these bands allowed us to isolate two genes that are regulated in response to a loading stimulus. Nucleotide analysis showed that one of the differentially expressed bands shares 99% sequence identity with rat osteopontin (OPN), a noncollagenous bone matrix protein. Northern blot analysis confirms that OPN mRNA expression is increased by nearly 4‐fold, at 6 h and 24 h after loading. The second band shares 90% homology with mouse myeloperoxidase (MPO), a bactericidal enzyme found primarily in neutrophils and monocytes. Semiquantitative PCR confirms that MPO expression is decreased 4‐ to 10‐fold, at 1 h and 24 h after loading. Tissue distribution analysis confirmed MPO expression in bone but not in other tissues examined. In vitro analysis showed that MPO expression was not detectable in total RNA from UMR 106 osteoblastic cells or in confluent primary cultures of osteoblasts derived from either rat primary spongiosa or diaphyseal marrow. Database analysis suggests that MPO is expressed by osteocytes. These findings reinforce the association of OPN expression to bone turnover and describes for the first time, decreased expression of MPO during load‐induced bone formation. These results suggest a role for both OPN and MPO expression in bone cell function. J. Cell. Biochem. 68:355–365, 1998.


Bioorganic & Medicinal Chemistry Letters | 1999

Reversal of resistance in multidrug resistance protein (MRP1)-overexpressing cells by LY329146.

Bryan H. Norman; Anne H. Dantzig; Julian Stanley Kroin; Kevin L. Law; Linda B. Tabas; Robert L. Shepard; Alan David Palkowitz; Kenneth Lee Hauser; Mark Alan Winter; James P. Sluka; James J. Starling

The benzothiophene LY329146 reverses the drug resistance phenotype in multidrug resistance protein (MRP1)-overexpressing cells when dosed in combination with MRP1-associated oncolytics doxorubicin and vincristine. Additionally, LY329146 inhibited MRP1-mediated uptake of the MRP1 substrate LTC4 into membrane vesicles prepared from MRP1-overexpressing cells.


Journal of Cellular Biochemistry | 2002

Parathyroid hormone (hPTH 1–38) stimulates the expression of UBP41, an ubiquitin‐specific protease, in bone

Rebecca R. Miles; James P. Sluka; David L. Halladay; R. F. Santerre; L. V. Hale; L. Bloem; S.R. Patanjali; Rachelle J. Sells Galvin; L. Ma; J.M. Hock; Jude E. Onyia

Parathyroid hormone (PTH) stimulates bone formation in both animals and humans, and the expression of a number of genes has been implicated in the mediation of this effect. To discover new bone factors that initiate and support this phenomenon, we used differential display reverse transcription polymerase chain reaction (DDRT‐PCR) and screened for genes, which are differentially expressed in osteoblast‐enriched femoral metaphyseal primary spongiosa of young male rats after a single subcutaneous (s.c.) injection of hPTH (1–38) (8 μg/100 g). We found and cloned one full‐length cDNA, which encodes a putative 348 amino acid protein. Sequence analysis of this protein demonstrates a 98, 93.7, and 82.5% identity with mouse, human, and chicken ubiquitin‐specific protease UBP41, respectively. Northern blot analysis confirmed that a 3.8–4 kb UBP41 mRNA transcript was rapidly increased 1 h after acute hPTH (1–38) exposure in both metaphyseal (6‐ to 8‐fold) and diaphyseal (3‐fold) bone, but returned to control levels by 24 h after exposure. In contrast, continuous exposure to hPTH (1–38), resulted in a rapid and sustained elevation of UBP41 mRNA. PTH (1–31), which stimulates intracellular cAMP, and PTHrP (1–34) both induced UBP41 mRNA expression; whereas PTH analogs (3–34) and (7–34), that do not stimulate cAMP, had no effect on UBP41 expression. UBP41 mRNA expression was also rapidly induced 1 h after injection of PGE2, but returned to the control level by 6 to 24 h. In vitro, UBP41 mRNA is expressed in primary osteoblasts (metaphyseal and diaphyseal derived) and in the osteoblast‐like cell lines UMR106, ROS17/2.8, and BALC. PTH (1–38) treatment induced UPB41 expression (3.6‐ to 13‐fold) in both primary cultures of osteoblasts and in UMR106 cells. Further analysis in UMR 106 cells demonstrated that PGE2, forskolin and dibutyryl cAMP increased UBP41 mRNA expression 4‐, 4.5‐, and 2.4‐fold, respectively. Tissue distribution analysis of UBP41 mRNA detected transcripts in brain, heart, skeletal muscle, kidney, liver, and testis. Together, these results demonstrate that UBP41, an ubiquitin‐specific protease, is selectively upregulated in bone by the osteotropic agents PTH, PTHrP, and PGE2, possibly via the PKA/cAMP pathway. We speculate that the rapid induction of UBP41 in response to these physiological regulators contributes to the mechanism by which either the structure, activity, half‐life or localization of essential proteins are modified to maintain bone homeostasis. J. Cell. Biochem. 85: 229–242, 2002.


Tetrahedron Letters | 1999

Nucleophilic aromatic substitution on 3-aroyl-2-arylbenzothiophenes. Rapid access to raloxifene and other selective estrogen receptor modulators

Christopher R. Schmid; James P. Sluka; Kristin M. Duke

Versatile, mild and high yielding methods for nucleophilic aromatic substitution of 2-dialkylamino-1-ethoxides and related nucleophiles on 3-aroyl-2-arylbenzothiophene nuclei are presented. A short synthesis of raloxifene is detailed.


Bioorganic & Medicinal Chemistry Letters | 1996

Benzopyran selective estrogen receptor modulators (SERMs): Pharmacological effects and structural correlation with raloxifene

Timothy Alan Grese; James P. Sluka; Henry U. Bryant; Harlan W. Cole; John Kim; David E. Magee; Ellen R. Rowley; Masahiko Sato

Abstract Several 2,3-diarylbenzopyrans have been evaluated in an ovariectomized rat model and found to exhibit tissue selective estrogen agonist activity on bone and serum lipid parameters. A structural model that accounts for the pharmacological similarity of these benzopyrans and the benzothiophene SERM, raloxifene, is proposed.


Journal of Micromechanics and Microengineering | 2014

Fabricating microfluidic valve master molds in SU-8 photoresist

Aaron J Dy; Alin Cosmanescu; James P. Sluka; James A. Glazier; Dwayne G. Stupack; Dragos Amarie

Multilayer soft lithography has become a powerful tool in analytical chemistry, biochemistry, material and life sciences, and medical research. Complex fluidic micro-circuits require reliable components that integrate easily into microchips. We introduce two novel approaches to master mold fabrication for constructing in-line micro-valves using SU-8. Our fabrication techniques enable robust and versatile integration of many lab-on-a-chip functions including filters, mixers, pumps, stream focusing and cell-culture chambers, with in-line valves. SU-8 created more robust valve master molds than the conventional positive photoresists used in multilayer soft lithography, but maintained the advantages of biocompatibility and rapid prototyping. As an example, we used valve master molds made of SU-8 to fabricate PDMS chips capable of precisely controlling beads or cells in solution.


Annals of Biomedical Engineering | 2016

Multiscale Modeling in the Clinic: Drug Design and Development

Colleen E. Clancy; Gary An; William R. Cannon; Yaling Liu; Elebeoba E. May; P. Ortoleva; Aleksander S. Popel; James P. Sluka; Jing Su; Paolo Vicini; Xiaobo Zhou; David M. Eckmann

A wide range of length and time scales are relevant to pharmacology, especially in drug development, drug design and drug delivery. Therefore, multiscale computational modeling and simulation methods and paradigms that advance the linkage of phenomena occurring at these multiple scales have become increasingly important. Multiscale approaches present in silico opportunities to advance laboratory research to bedside clinical applications in pharmaceuticals research. This is achievable through the capability of modeling to reveal phenomena occurring across multiple spatial and temporal scales, which are not otherwise readily accessible to experimentation. The resultant models, when validated, are capable of making testable predictions to guide drug design and delivery. In this review we describe the goals, methods, and opportunities of multiscale modeling in drug design and development. We demonstrate the impact of multiple scales of modeling in this field. We indicate the common mathematical and computational techniques employed for multiscale modeling approaches used in pharmacometric and systems pharmacology models in drug development and present several examples illustrating the current state-of-the-art models for (1) excitable systems and applications in cardiac disease; (2) stem cell driven complex biosystems; (3) nanoparticle delivery, with applications to angiogenesis and cancer therapy; (4) host-pathogen interactions and their use in metabolic disorders, inflammation and sepsis; and (5) computer-aided design of nanomedical systems. We conclude with a focus on barriers to successful clinical translation of drug development, drug design and drug delivery multiscale models.


Bioinformatics | 2014

The cell behavior ontology: describing the intrinsic biological behaviors of real and model cells seen as active agents

James P. Sluka; Abbas Shirinifard; Maciej Swat; Alin Cosmanescu; Randy Heiland; James A. Glazier

Motivation: Currently, there are no ontologies capable of describing both the spatial organization of groups of cells and the behaviors of those cells. The lack of a formalized method for describing the spatiality and intrinsic biological behaviors of cells makes it difficult to adequately describe cells, tissues and organs as spatial objects in living tissues, in vitro assays and in computational models of tissues. Results: We have developed an OWL-2 ontology to describe the intrinsic physical and biological characteristics of cells and tissues. The Cell Behavior Ontology (CBO) provides a basis for describing the spatial and observable behaviors of cells and extracellular components suitable for describing in vivo, in vitro and in silico multicell systems. Using the CBO, a modeler can create a meta-model of a simulation of a biological model and link that meta-model to experiment or simulation results. Annotation of a multicell model and its computational representation, using the CBO, makes the statement of the underlying biology explicit. The formal representation of such biological abstraction facilitates the validation, falsification, discovery, sharing and reuse of both models and experimental data. Availability and implementation: The CBO, developed using Protégé 4, is available at http://cbo.biocomplexity.indiana.edu/cbo/ and at BioPortal (http://bioportal.bioontology.org/ontologies/CBO). Contact: [email protected] or [email protected] Supplementary information: Supplementary data are available at Bioinformatics online.


PLOS ONE | 2016

A Liver-Centric Multiscale Modeling Framework for Xenobiotics.

James P. Sluka; Xiao Fu; Maciej Swat; Julio M. Belmonte; Alin Cosmanescu; Sherry G. Clendenon; John F. Wambaugh; James A. Glazier

We describe a multi-scale, liver-centric in silico modeling framework for acetaminophen pharmacology and metabolism. We focus on a computational model to characterize whole body uptake and clearance, liver transport and phase I and phase II metabolism. We do this by incorporating sub-models that span three scales; Physiologically Based Pharmacokinetic (PBPK) modeling of acetaminophen uptake and distribution at the whole body level, cell and blood flow modeling at the tissue/organ level and metabolism at the sub-cellular level. We have used standard modeling modalities at each of the three scales. In particular, we have used the Systems Biology Markup Language (SBML) to create both the whole-body and sub-cellular scales. Our modeling approach allows us to run the individual sub-models separately and allows us to easily exchange models at a particular scale without the need to extensively rework the sub-models at other scales. In addition, the use of SBML greatly facilitates the inclusion of biological annotations directly in the model code. The model was calibrated using human in vivo data for acetaminophen and its sulfate and glucuronate metabolites. We then carried out extensive parameter sensitivity studies including the pairwise interaction of parameters. We also simulated population variation of exposure and sensitivity to acetaminophen. Our modeling framework can be extended to the prediction of liver toxicity following acetaminophen overdose, or used as a general purpose pharmacokinetic model for xenobiotics.

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James A. Glazier

Indiana University Bloomington

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Peter B. Dervan

California Institute of Technology

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Xiao Fu

Indiana University Bloomington

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Maciej Swat

Indiana University Bloomington

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