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Dive into the research topics where Katerina Kechris is active.

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Featured researches published by Katerina Kechris.


BMC Biology | 2009

Genetical genomic determinants of alcohol consumption in rats and humans

Boris Tabakoff; Laura Saba; Morton P. Printz; Pamela Flodman; Colin A. Hodgkinson; David Goldman; George F. Koob; Heather N. Richardson; Katerina Kechris; Richard L. Bell; Norbert Hubner; Matthias Heinig; Michal Pravenec; Jonathan Mangion; Lucie Legault; Maurice Dongier; Katherine M. Conigrave; John Whitfield; John B. Saunders; Bridget F. Grant; Paula L. Hoffman

BackgroundWe have used a genetical genomic approach, in conjunction with phenotypic analysis of alcohol consumption, to identify candidate genes that predispose to varying levels of alcohol intake by HXB/BXH recombinant inbred rat strains. In addition, in two populations of humans, we assessed genetic polymorphisms associated with alcohol consumption using a custom genotyping array for 1,350 single nucleotide polymorphisms (SNPs). Our goal was to ascertain whether our approach, which relies on statistical and informatics techniques, and non-human animal models of alcohol drinking behavior, could inform interpretation of genetic association studies with human populations.ResultsIn the HXB/BXH recombinant inbred (RI) rats, correlation analysis of brain gene expression levels with alcohol consumption in a two-bottle choice paradigm, and filtering based on behavioral and gene expression quantitative trait locus (QTL) analyses, generated a list of candidate genes. A literature-based, functional analysis of the interactions of the products of these candidate genes defined pathways linked to presynaptic GABA release, activation of dopamine neurons, and postsynaptic GABA receptor trafficking, in brain regions including the hypothalamus, ventral tegmentum and amygdala. The analysis also implicated energy metabolism and caloric intake control as potential influences on alcohol consumption by the recombinant inbred rats. In the human populations, polymorphisms in genes associated with GABA synthesis and GABA receptors, as well as genes related to dopaminergic transmission, were associated with alcohol consumption.ConclusionOur results emphasize the importance of the signaling pathways identified using the non-human animal models, rather than single gene products, in identifying factors responsible for complex traits such as alcohol consumption. The results suggest cross-species similarities in pathways that influence predisposition to consume alcohol by rats and humans. The importance of a well-defined phenotype is also illustrated. Our results also suggest that different genetic factors predispose alcohol dependence versus the phenotype of alcohol consumption.


Nucleic Acids Research | 2014

The multiMiR R package and database: integration of microRNA–target interactions along with their disease and drug associations

Yuanbin Ru; Katerina Kechris; Boris Tabakoff; Paula L. Hoffman; Richard A. Radcliffe; Russell P. Bowler; Spencer Mahaffey; Simona Rossi; George A. Calin; Lynne T. Bemis; Dan Theodorescu

microRNAs (miRNAs) regulate expression by promoting degradation or repressing translation of target transcripts. miRNA target sites have been catalogued in databases based on experimental validation and computational prediction using various algorithms. Several online resources provide collections of multiple databases but need to be imported into other software, such as R, for processing, tabulation, graphing and computation. Currently available miRNA target site packages in R are limited in the number of databases, types of databases and flexibility. We present multiMiR, a new miRNA–target interaction R package and database, which includes several novel features not available in existing R packages: (i) compilation of nearly 50 million records in human and mouse from 14 different databases, more than any other collection; (ii) expansion of databases to those based on disease annotation and drug microRNAresponse, in addition to many experimental and computational databases; and (iii) user-defined cutoffs for predicted binding strength to provide the most confident selection. Case studies are reported on various biomedical applications including mouse models of alcohol consumption, studies of chronic obstructive pulmonary disease in human subjects, and human cell line models of bladder cancer metastasis. We also demonstrate how multiMiR was used to generate testable hypotheses that were pursued experimentally.


American Journal of Respiratory Cell and Molecular Biology | 2013

Peripheral Blood Mononuclear Cell Gene Expression in Chronic Obstructive Pulmonary Disease

Timothy M. Bahr; Grant Hughes; Michael Armstrong; Rick Reisdorph; Christopher D. Coldren; Michael G. Edwards; Christina Schnell; Ross M. Kedl; Daniel J. LaFlamme; Nichole Reisdorph; Katerina Kechris; Russell P. Bowler

Although most cases of chronic obstructive pulmonary disease (COPD) occur in smokers, only a fraction of smokers develop the disease. We hypothesized distinct molecular signatures for COPD and emphysema in the peripheral blood mononuclear cells (PBMCs) of current and former smokers. To test this hypothesis, we identified and validated PBMC gene expression profiles in smokers with and without COPD. We generated expression data on 136 subjects from the COPDGene study, using Affymetrix U133 2.0 microarrays (Affymetrix, Santa Clara, CA). Multiple linear regression with adjustment for covariates (gender, age, body mass index, family history, smoking status, and pack-years) was used to identify candidate genes, and ingenuity pathway analysis was used to identify candidate pathways. Candidate genes were validated in 149 subjects according to multiplex quantitative real-time polymerase chain reaction, which included 75 subjects not previously profiled. Pathways that were differentially expressed in subjects with COPD and emphysema included those that play a role in the immune system, inflammatory responses, and sphingolipid (ceramide) metabolism. Twenty-six of the 46 candidate genes (e.g., FOXP1, TCF7, and ASAH1) were validated in the independent cohort. Plasma metabolomics was used to identify a novel glycoceramide (galabiosylceramide) as a biomarker of emphysema, supporting the genomic association between acid ceramidase (ASAH1) and emphysema. COPD is a systemic disease whose gene expression signatures in PBMCs could serve as novel diagnostic or therapeutic targets.


American Journal of Respiratory and Critical Care Medicine | 2015

Plasma sphingolipids associated with chronic obstructive pulmonary disease phenotypes

Russell P. Bowler; Sean Jacobson; Charmion Cruickshank; Grant Hughes; Charlotte Siska; Daniel S. Ory; Irina Petrache; Jean E. Schaffer; Nichole Reisdorph; Katerina Kechris

RATIONALE Chronic obstructive pulmonary disease (COPD) occurs in a minority of smokers and is characterized by intermittent exacerbations and clinical subphenotypes such as emphysema and chronic bronchitis. Although sphingolipids as a class are implicated in the pathogenesis of COPD, the particular sphingolipid species associated with COPD subphenotypes remain unknown. OBJECTIVES To use mass spectrometry to determine which plasma sphingolipids are associated with subphenotypes of COPD. METHODS One hundred twenty-nine current and former smokers from the COPDGene cohort had 69 distinct sphingolipid species detected in plasma by targeted mass spectrometry. Of these, 23 were also measured in 131 plasma samples (117 independent subjects) using an untargeted platform in an independent laboratory. Regression analysis with adjustment for clinical covariates, correction for false discovery rate, and metaanalysis were used to test associations between COPD subphenotypes and sphingolipids. Peripheral blood mononuclear cells were used to test associations between sphingolipid gene expression and plasma sphingolipids. MEASUREMENTS AND MAIN RESULTS Of the measured plasma sphingolipids, five sphingomyelins were associated with emphysema; four trihexosylceramides and three dihexosylceramides were associated with COPD exacerbations. Three sphingolipids were strongly associated with sphingolipid gene expression, and 15 sphingolipid gene/metabolite pairs were differentially regulated between COPD cases and control subjects. CONCLUSIONS There is evidence of systemic dysregulation of sphingolipid metabolism in patients with COPD. Subphenotyping suggests that sphingomyelins are strongly associated with emphysema and glycosphingolipids are associated with COPD exacerbations.


Alcoholism: Clinical and Experimental Research | 2012

Gene Expression Changes in C57BL/6J and DBA/2J Mice Following Prenatal Alcohol Exposure

Chris Downing; Stephen Flink; Maria L. Florez-McClure; Thomas E. Johnson; Boris Tabakoff; Katerina Kechris

BACKGROUND Prenatal alcohol exposure can result in fetal alcohol spectrum disorders (FASD). Not all women who consume alcohol during pregnancy have children with FASD and studies have shown that genetic factors can play a role in ethanol teratogenesis. We examined gene expression in embryos and placentae from C57BL/6J (B6) and DBA/2J (D2) mice following prenatal alcohol exposure. B6 fetuses are susceptible to morphological malformations following prenatal alcohol exposure while D2 are relatively resistant. METHODS Male and female B6 and D2 mice were mated for 2 hours in the morning, producing 4 embryonic genotypes: true-bred B6B6 and D2D2, and reciprocal B6D2 and D2B6. On gestational day 9, dams were intubated with 5.8 g/kg ethanol, an isocaloric amount of maltose dextrin, or nothing. Four hours later, dams were sacrificed and embryos and placentae were harvested. RNA was extracted, labeled and hybridized to Affymetrix Mouse Genome 430 v2 microarray chips. Data were normalized, subjected to analysis of variance and tested for enrichment of gene ontology molecular function and biological process using the Database for Annotation, Visualization and Integrated Discovery (DAVID). RESULTS Several gene classes were differentially expressed in B6 and D2 regardless of treatment, including genes involved in polysaccharide binding and mitosis. Prenatal alcohol exposure altered expression of a subset of genes, including genes involved in methylation, chromatin remodeling, protein synthesis, and mRNA splicing. Very few genes were differentially expressed between maltose-exposed tissues and tissues that received nothing, so we combined these groups for comparisons with ethanol. While we observed many expression changes specific to B6 following prenatal alcohol exposure, none were specific for D2. Gene classes up- or down-regulated in B6 following prenatal alcohol exposure included genes involved in mRNA splicing, transcription, and translation. CONCLUSIONS Our study identified several classes of genes with altered expression following prenatal alcohol exposure, including many specific for B6, a strain susceptible to ethanol teratogenesis. Lack of strain specific effects in D2 suggests there are few gene expression changes that confer resistance. Future studies will begin to analyze functional significance of the expression changes.


Journal of Investigative Dermatology | 2015

Narrow Band Ultraviolet B Treatment for Human Vitiligo Is Associated with Proliferation, Migration, and Differentiation of Melanocyte Precursors

Nathaniel B. Goldstein; Maranke I. Koster; Laura G. Hoaglin; Nicole S. Spoelstra; Katerina Kechris; Steven E. Robinson; William A. Robinson; Dennis R. Roop; David A. Norris; Stanca A. Birlea

In vitiligo, the autoimmune destruction of epidermal melanocytes produces white spots that can be repigmented by melanocyte precursors from the hair follicles, following stimulation with UV light. We examined by immunofluorescence the distribution of melanocyte markers (C-KIT, DCT, PAX3, and TYR) coupled with markers of proliferation (KI-67) and migration (MCAM) in precursors and mature melanocytes from the hair follicle and the epidermis of untreated and narrow band UVB (NBUVB)-treated human vitiligo skin. NBUVB was associated with a significant increase in the number of melanocytes in the infundibulum and with restoration of the normal melanocyte population in the epidermis, which was lacking in the untreated vitiligo. We identified several precursor populations (melanocyte stem cells, melanoblasts, and other immature phenotypes), and progressively differentiating melanocytes, some with putative migratory and/or proliferative abilities. The primary melanocyte germ was present in the untreated and treated hair follicle bulge, whereas a possible secondary melanocyte germ composed of C-KIT+ melanocytes was found in the infundibulum and interfollicular epidermis of UV-treated vitiligo. This is an exceptional model for studying the mobilization of melanocyte stem cells in human skin. Improved understanding of this process is essential for designing better treatments for vitiligo, ultimately based on melanocyte stem cell activation and mobilization.


American Journal of Respiratory and Critical Care Medicine | 2013

The Association of Adiponectin with Computed Tomography Phenotypes in Chronic Obstructive Pulmonary Disease

Brendan J. Carolan; Yu-Il Kim; Andre Williams; Katerina Kechris; Sharon M. Lutz; Nichole Reisdorph; Russell P. Bowler

RATIONALE Chronic obstructive pulmonary disease (COPD) is a heterogeneous disorder associated with systemic manifestations that contribute to its morbidity and mortality. Recent work suggests that biomarker signatures in the blood may be useful in evaluating COPD phenotypes and may provide insight into the pathophysiology of systemic manifestations. Adiponectin, primarily produced by fat cells, has been implicated in the pathophysiology of emphysema. OBJECTIVES To investigate the association of adiponectin with clinical and radiologic COPD phenotypes. METHODS Adiponectin levels were determined in 633 individuals, including 432 individuals with COPD from a cohort of former or current smokers enrolled in the COPDGene study. Univariate and multiple regression analysis were used to examine the association of adiponectin with clinical and physiologic data together with quantitative high-resolution computed tomography parameters. MEASUREMENTS AND MAIN RESULTS Multiple regression analysis confirmed that higher plasma adiponectin levels were independently associated with emphysema, decreasing body mass index, female sex, older age, and lower percentage change in prebronchodilator/post-bronchodilator FEV1. CONCLUSIONS The association between plasma adiponectin and computed tomography-assessed emphysema suggests a contribution of adiponectin to the development of emphysema and highlights a role for metabolic derangements in the pathophysiology of emphysema.


The Journal of Infectious Diseases | 2015

Transcriptional adaptation of drug-tolerant Mycobacterium tuberculosis during treatment of human tuberculosis

Nicholas D. Walter; Gregory Dolganov; Benjamin J. Garcia; William Worodria; Alfred Andama; Emmanuel Musisi; Irene Ayakaka; Tran Van; Martin I. Voskuil; Bouke C. de Jong; Rebecca M. Davidson; Tasha E. Fingerlin; Katerina Kechris; Claire Palmer; Payam Nahid; Charles L. Daley; Mark W. Geraci; Laurence Huang; Adithya Cattamanchi; Michael Strong; Gary K. Schoolnik; J. L. Davis

BACKGROUND Treatment initiation rapidly kills most drug-susceptible Mycobacterium tuberculosis, but a bacterial subpopulation tolerates prolonged drug exposure. We evaluated drug-tolerant bacilli in human sputum by comparing messenger RNA (mRNA) expression of drug-tolerant bacilli that survive the early bactericidal phase with treatment-naive bacilli. METHODS M. tuberculosis gene expression was quantified via reverse-transcription polymerase chain reaction in serial sputa from 17 Ugandans treated for drug-susceptible pulmonary tuberculosis. RESULTS Within 4 days, bacterial mRNA abundance declined >98%, indicating rapid killing. Thereafter, the rate of decline slowed >94%, indicating drug tolerance. After 14 days, 16S ribosomal RNA transcripts/genome declined 96%, indicating slow growth. Drug-tolerant bacilli displayed marked downregulation of genes associated with growth, metabolism, and lipid synthesis and upregulation in stress responses and key regulatory categories-including stress-associated sigma factors, transcription factors, and toxin-antitoxin genes. Drug efflux pumps were upregulated. The isoniazid stress signature was induced by initial drug exposure, then disappeared after 4 days. CONCLUSIONS Transcriptional patterns suggest that drug-tolerant bacilli in sputum are in a slow-growing, metabolically and synthetically downregulated state. Absence of the isoniazid stress signature in drug-tolerant bacilli indicates that physiological state influences drug responsiveness in vivo. These results identify novel drug targets that should aid in development of novel shorter tuberculosis treatment regimens.


American Journal of Respiratory and Critical Care Medicine | 2017

Biomarkers Predictive of Exacerbations in the SPIROMICS and COPDGene Cohorts.

Jason Keene; Sean Jacobson; Katerina Kechris; Gregory L. Kinney; Marilyn G. Foreman; Claire M. Doerschuk; Barry J. Make; Jeffrey L. Curtis; Stephen I. Rennard; R. Graham Barr; Eugene R. Bleecker; Richard E. Kanner; Eric C. Kleerup; Nadia N. Hansel; Prescott G. Woodruff; MeiLan K. Han; Robert Paine; Fernando J. Martinez; Russell P. Bowler; Wanda K. O'Neal

Rationale: Chronic obstructive pulmonary disease exacerbations are associated with disease progression, higher healthcare cost, and increased mortality. Published predictors of future exacerbations include previous exacerbation, airflow obstruction, poor overall health, home oxygen use, and gastroesophageal reflux. Objectives: To determine the value of adding blood biomarkers to clinical variables to predict exacerbations. Methods: Subjects from the SPIROMICS (Subpopulations and Intermediate Outcomes Measures in COPD Study) (n = 1,544) and COPDGene (Genetic Epidemiology of COPD) (n = 602) cohorts had 90 plasma or serum candidate proteins measured on study entry using Myriad‐RBM multiplex panels. We defined total exacerbations as subject‐reported worsening in respiratory health requiring therapy with corticosteroids and/or antibiotics, and severe exacerbations as those leading to hospitalizations or emergency room visits. We assessed retrospective exacerbations during the 12 months before enrollment and then documented prospective exacerbations in each cohort. Exacerbations were modeled for biomarker associations with negative binomial regression including clinical covariates (age, sex, percent predicted FEV1, self‐reported gastroesophageal reflux, St. Georges Respiratory Questionnaire score, smoking status). We used the Stouffer‐Liptak test to combine P values for metaanalysis. Measurements and Main Results: Between the two cohorts, 3,471 total exacerbations (1,044 severe) were reported. We identified biomarkers within each cohort that were significantly associated with a history of exacerbation and with a future exacerbation, but there was minimal replication between the cohorts. Although established clinical features were predictive of exacerbations, of the blood biomarkers only decorin and &agr;2‐macroglobulin increased predictive value for future severe exacerbations. Conclusions: Blood biomarkers were significantly associated with the occurrence of exacerbations but were not robust between cohorts and added little to the predictive value of clinical covariates for exacerbations.


Bioinformatics | 2014

MSPrep—Summarization, normalization and diagnostics for processing of mass spectrometry–based metabolomic data

Grant Hughes; Charmion Cruickshank-Quinn; Richard Reisdorph; Sharon M. Lutz; Irina Petrache; Nichole Reisdorph; Russell P. Bowler; Katerina Kechris

MOTIVATION Although R packages exist for the pre-processing of metabolomic data, they currently do not incorporate additional analysis steps of summarization, filtering and normalization of aligned data. We developed the MSPrep R package to complement other packages by providing these additional steps, implementing a selection of popular normalization algorithms and generating diagnostics to help guide investigators in their analyses. AVAILABILITY http://www.sourceforge.net/projects/msprep

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Laura Saba

University of Colorado Denver

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Boris Tabakoff

University of Colorado Denver

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Paula L. Hoffman

University of Colorado Denver

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Sean Jacobson

University of Colorado Denver

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Grant Hughes

University of Colorado Denver

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Irina Petrache

University of Colorado Denver

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Tasha E. Fingerlin

University of Colorado Denver

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Benjamin J. Garcia

University of Colorado Denver

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