David H Murdock Research Institute

Carolina Beach, NC, United States

David H Murdock Research Institute

Carolina Beach, NC, United States
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Nieman D.C.,Appalachian State University | Meaney M.P.,Appalachian State University | John C.S.,Appalachian State University | Knagge K.J.,David H Murdock Research Institute | Chen H.,David H Murdock Research Institute
Brain, Behavior, and Immunity | Year: 2016

This study utilized a pro-inflammatory exercise mode to explore potential linkages between increases in 9- and 13-hydroxy-octadecadienoic acid (9 + 13 HODE) and biomarkers for inflammation, oxidative stress, and muscle damage. Male (N = 10) and female (N = 10) runners ran at ~70% VO2max for 1.5 h followed by 30 min of downhill running (-10%). Blood samples were taken pre-run and immediately-, 1-h-, and 24-h post-run, and analyzed for 9 + 13 HODE, F2-isoprostanes, six cytokines, C-reactive protein (CRP), creatine kinase (CK), and myoglobin (MYO). Gender groups performed at comparable relative heart rate and oxygen consumption levels during the 2-h run. All outcome measures increased post-run (time effects, P ≤ 0.001), with levels near pre-run levels by 24 h except for CRP, CK, MYO, and delayed onset of muscle soreness (DOMS). Plasma 9 + 13 HODE increased 314 ± 38.4% post-run (P < 0.001), 77.3 ± 15.8% 1-h post-run (P < 0.001), and 40.6 ± 16.4% 24-h post-exercise (P = 0.024), and F2-isoprostanes increased 50.8 ± 8.9% post-run (P < 0.001) and 19.0 ± 5.3% 1-h post-run (P = 0.006). Post-run increases were comparable between genders for all outcomes except for 9 + 13 HODE (interaction effect, P = 0.024, post-run tending higher in females), IL-10 (P = 0.006, females lower), and DOMS (P = 0.029, females lower). The pre-to-post-run increase in 9 + 13 HODEs was not related to other outcomes except for plasma granulocyte colony stimulating factor (GCSF) (r = -0.710, P < 0.001) and IL-6 (r = -0.457, P = 0.043). Within the context of this study, exercise-induced increases in 9 + 13 HODEs tended higher in females, and were not related to increases in F2-isoprostanes, muscle damage, or soreness. The negative relationships to GCSF and IL-6 suggest a linkage between 9 + 13 HODES and exercise-induced neutrophil chemotaxis, degranulation, and inflammation. © 2016 Elsevier Inc.

Wei J.,Shanghai JiaoTong University | Xie G.,University of North Carolina at Greensboro | Zhou Z.,Shanghai JiaoTong University | Shi P.,Shanghai JiaoTong University | And 6 more authors.
International Journal of Cancer | Year: 2011

Oral cancer, one of the six most common human cancers with an overall 5-year survival rate of <50%, is often not diagnosed until it has reached an advanced stage. The aim of the current study is to explore salivary metabolomics as a disease diagnostic and stratification tool for oral cancer and leukoplakia and evaluate the potential of salivary metabolome for detection of oral squamous cell carcinoma (OSCC). Saliva metabolite profiling for a group of 37 OSCC patients, 32 oral leukoplakia (OLK) patients and 34 healthy subjects was performed using ultraperformance liquid chromatography coupled with quadrupole/time-of-flight mass spectrometry in conjunction with multivariate statistical analysis. The OSCC, OLK and healthy control groups demonstrate characteristic salivary metabolic signatures. A panel of five salivary metabolites including γ-aminobutyric acid, phenylalanine, valine, n-eicosanoic acid and lactic acid were selected using OPLS-DA model with S-plot. The predictive power of each of the five salivary metabolites was evaluated by receiver operating characteristic curves for OSCC. Valine, lactic acid and phenylalanine in combination yielded satisfactory accuracy (0.89, 0.97), sensitivity (86.5% and 94.6%), specificity (82.4% and 84.4%) and positive predictive value (81.6% and 87.5%) in distinguishing OSCC from the controls or OLK, respectively. The utility of salivary metabolome diagnostics for oral cancer is successfully demonstrated in this study and these results suggest that metabolomics approach complements the clinical detection of OSCC and stratifies the two types of lesions, leading to an improved disease diagnosis and prognosis. © 2011 UICC.

Jia W.,Mellitus | Jia W.,Shanghai JiaoTong University | Jia W.,University of North Carolina at Greensboro | Zheng X.,Mellitus | And 12 more authors.
Science Translational Medicine | Year: 2013

Melamine poisoning has become widely publicized after a recent occurrence of renal injury in infants and children exposed to melamine-tainted milk in China. This renal damage is believed to result from kidney stones formed from melamine and uric acid or from melamine and its cocrystallizing chemical derivative, cyanuric acid. However, the composition of the stones and the mechanism by which the stones are formed in the renal tubules are unknown. We report that cyanuric acid can be produced in the gut by microbial transformation of melamine and serves as an integral component of the kidney stones responsible for melamine-induced renal toxicity in rats. Melamine-induced toxicity in rats was attenuated, and melamine excretion decreased after antibiotic suppression of gut microbial activity. We further demonstrated that melamine is converted to cyanuric acid in vitro by bacteria cultured from normal rat feces; Klebsiella was subsequently identified in fecal samples by 16S ribosomal DNA sequencing. In culture, Klebsiella terrigena was shown to convert melamine to cyanuric acid directly. Rats colonized by K. terrigena showed exacerbated melamine-induced nephrotoxicity. Cyanuric acid was detected in the kidneys of rats administered melamine alone, and the concentration after Klebsiella colonization was increased. These findings suggest that the observed toxicity of melamine may be conditional on the exact composition and metabolic activities of the gut microbiota.

Orban T.,Joslin Diabetes Center | Beam C.A.,University of South Florida | Xu P.,University of South Florida | Moore K.,David H Murdock Research Institute | And 7 more authors.
Diabetes | Year: 2014

We previously reported that continuous 24-month costimulation blockade by abatacept significantly slows the decline of ß-cell function after diagnosis of type 1 diabetes. In a mechanistic extension of that study, we evaluated peripheral blood immune cell subsets (CD4, CD8-naive, memory and activated subsets, myeloid and plasmacytoid dendritic cells, monocytes, B lymphocytes, CD4+CD25highregulatory T cells, and invariant NK T cells) by flow cytometry at baseline and 3, 6, 12, 24, and 30 months after treatment initiation to discover biomarkers of therapeutic effect. Using multivariable analysis and lagging of longitudinally measured variables, we made the novel observation in the placebo group that an increase in central memory (CM) CD4 T cells (CD4+CD45R0+CD62L+) during a preceding visit was significantly associated with C-peptide decline at the subsequent visit. These changes were significantly affected by abatacept treatment, which drove the peripheral contraction of CM CD4 T cells and the expansion of naive (CD45R0-CD62L+) CD4 T cells in association with a significantly slower rate of C-peptide decline. The findings show that the quantification of CM CD4 T cells can provide a surrogate immune marker for C-peptide decline after the diagnosis of type 1 diabetes and that costimulation blockade may exert its beneficial therapeutic effect via modulation of this subset. copy; 2014 by the American Diabetes Association.

Lee E.-J.,University of Georgia | Pei L.,University of Georgia | Srivastava G.,University of Missouri | Srivastava G.,Harvard University | And 11 more authors.
Nucleic Acids Research | Year: 2011

We applied a solution hybrid selection approach to the enrichment of CpG islands (CGIs) and promoter sequences from the human genome for targeted high-throughput bisulfite sequencing. A single lane of Illumina sequences allowed accurate and quantitative analysis of ~1 million CpGs in more than 21408 CGIs and more than 15946 transcriptional regulatory regions. Of the CpGs analyzed, 77-84 fell on or near capture probe sequences; 69-75 fell within CGIs. More than 85 of capture probes successfully yielded quantitative DNA methylation information of targeted regions. Differentially methylated regions (DMRs) were identified in the 5′-end regulatory regions, as well as the intra- and intergenic regions, particularly in the X-chromosome among the three breast cancer cell lines analyzed. We chose 46 candidate loci (762 CpGs) for confirmation with PCR-based bisulfite sequencing and demonstrated excellent correlation between two data sets. Targeted bisulfite sequencing of three DNA methyltransferase (DNMT) knockout cell lines and the wild-type HCT116 colon cancer cell line revealed a significant decrease in CpG methylation for the DNMT1 knockout and DNMT1, 3B double knockout cell lines, but not in DNMT3B knockout cell line. We demonstrated the targeted bisulfite sequencing approach to be a powerful method to uncover novel aberrant methylation in the cancer epigenome. Since all targets were captured and sequenced as a pool through a series of single-tube reactions, this method can be easily scaled up to deal with a large number of samples. © The Author(s) 2011. Published by Oxford University Press.

Jiang W.,University of North Carolina at Charlotte | Qiu Y.,University of North Carolina at Greensboro | Ni Y.,University of North Carolina at Charlotte | Su M.,David H Murdock Research Institute | And 2 more authors.
Journal of Proteome Research | Year: 2010

Recent technological advances have made it possible to carry out high-throughput metabonomics studies using gas chromatography coupled with time-of-flight mass spectrometry. Large volumes of data are produced from these studies and there is a pressing need for algorithms that can efficiently process and analyze data in a high-throughput fashion as well. We present an Automated Data Analysis Pipeline (ADAP) that has been developed for this purpose. ADAP consists of peak detection, deconvolution, peak alignment, and library search. It allows data to flow seamlessly through the analysis steps without any human intervention and features two novel algorithms in the analysis. Specifically, clustering is successfully applied in deconvolution to resolve coeluting compounds that are very common in complex samples and a two-phase alignment process has been implemented to enhance alignment accuracy. ADAP is written in standard C++ and R and uses parallel computing via Message Passing Interface for fast peak detection and deconvolution. ADAP has been applied to analyze both mixed standards samples and serum samples and identified and quantified metabolites successfully. ADAP is available at http://www.du-lab.org. © 2010 American Chemical Society.

Ni Y.,University of North Carolina at Charlotte | Qiu Y.,University of North Carolina at Greensboro | Jiang W.,University of North Carolina at Charlotte | Suttlemyre K.,University of North Carolina at Charlotte | And 4 more authors.
Analytical Chemistry | Year: 2012

ADAP-GC 2.0 has been developed to deconvolute coeluting metabolites that frequently exist in real biological samples of metabolomics studies. Deconvolution is based on a chromatographic model peak approach that combines five metrics of peak qualities for constructing/selecting model peak features. Prior to deconvolution, ADAP-GC 2.0 takes raw mass spectral data as input, extracts ion chromatograms for all the observed masses, and detects chromatographic peak features. After deconvolution, it aligns components across samples and exports the qualitative and quantitative information of all of the observed components. Centered on the deconvolution, the entire data analysis workflow is fully automated. ADAP-GC 2.0 has been tested using three different types of samples. The testing results demonstrate significant improvements of ADAP-GC 2.0, compared to the previous ADAP 1.0, to identify and quantify metabolites from gas chromatography/time-of-flight mass spectrometry (GC/TOF-MS) data in untargeted metabolomics studies. © 2012 American Chemical Society.

Schwartz S.A.,David H Murdock Research Institute | Caprioli R.M.,Vanderbilt University
Methods in Molecular Biology | Year: 2010

Imaging mass spectrometry (IMS) technology is an effective tool that is able to assess complex molecular mixtures in cells, tissues, or other sample types with high chemical specificity, allowing concurrent analysis of a variety of molecular species in a wide mass range, from small metabolites to large macromolecules such as proteins. Simultaneous localization of molecules, detection of post-translational modifications, and relative quantitative information can be obtained in a single experiment. Images generated by MS are unique because they are derived from direct molecular measurements and do not rely on target-specific reagents such as antibodies. Thus, the ability to map spatial distributions coupled with the mass accuracy and chemical specificity for MS-based detection makes IMS an effective discovery tool. Further structural assessment of compounds, including MS/MS fragmentation analysis, can be utilized in an imaging experiment to achieve accurate molecular identifications. © 2010 Springer Science+Business Media, LLC.

Gray S.J.,University of North Carolina at Chapel Hill | Foti S.B.,University of North Carolina at Chapel Hill | Schwartz J.W.,Duke University | Schwartz J.W.,David H Murdock Research Institute | And 7 more authors.
Human Gene Therapy | Year: 2011

With the increased use of small self-complementary adeno-associated viral (AAV) vectors, the design of compact promoters becomes critical for packaging and expressing larger transgenes under ubiquitous or cell-specific control. In a comparative study of commonly used 800-bp cytomegalovirus (CMV) and chicken β-actin (CBA) promoters, we report significant differences in the patterns of cell-specific gene expression in the central and peripheral nervous systems. The CMV promoter provides high initial neural expression that diminishes over time. The CBA promoter displayed mostly ubiquitous and high neural expression, but substantially lower expression in motor neurons (MNs). We report the creation of a novel hybrid form of the CBA promoter (CBh) that provides robust long-term expression in all cells observed with CMV or CBA, including MNs. To develop a short neuronal promoter to package larger transgenes into AAV vectors, we also found that a 229-bp fragment of the mouse methyl-CpG-binding protein-2 (MeCP2) promoter was able to drive neuron-specific expression within the CNS. Thus the 800-bp CBh promoter provides strong, long-term, and ubiquitous CNS expression whereas the MeCP2 promoter allows an extra 570-bp packaging capacity, with low and mostly neuronal expression within the CNS, similar to the MeCP2 transcription factor. © © 2011, Mary Ann Liebert, Inc.

Maranz S.,David H Murdock Research Institute
The Scientific World Journal | Year: 2012

Most investigations into the antimalarial activity of African plants are centered on finding an indigenous equivalent to artemisinin, the compound from which current frontline antimalarial drugs are synthesized. As a consequence, the standard practice in ethnopharmacological research is to use in vitro assays to identify compounds that inhibit parasites at nanomolar concentrations. This approach fails to take into consideration the high probability of acquisition of resistance to parasiticidal compounds since parasite populations are placed under direct selection for genetic that confers a survival advantage. Bearing in mind Africa's long exposure to malaria and extensive ethnobotanical experimentation with both therapies and diet, it is more likely that compounds not readily overcome by Plasmodium parasites would have been retained in the pharmacopeia and cuisine. Such compounds are characterized by acting primarily on the host rather than directly targeting the parasite and thus cannot be adequately explored in vitro. If Africa's long history with malaria has in fact produced effective plant therapies, their scientific elucidation will require a major emphasis on in vivo investigation. © 2012 Steven Maranz.

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