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1.
Am J Respir Crit Care Med ; 178(7): 710-20, 2008 Oct 01.
Article in English | MEDLINE | ID: mdl-18635889

ABSTRACT

RATIONALE: Polymorphisms affecting Toll-like receptor (TLR)-mediated responses could predispose to excessive inflammation during an infection and contribute to an increased risk for poor outcomes in patients with sepsis. OBJECTIVES: To identify hypermorphic polymorphisms causing elevated TLR-mediated innate immune cytokine and chemokine responses and to test whether these polymorphisms are associated with increased susceptibility to death, organ dysfunction, and infections in patients with sepsis. METHODS: We screened single-nucleotide polymorphisms (SNPs) in 43 TLR-related genes to identify variants affecting TLR-mediated inflammatory responses in blood from healthy volunteers ex vivo. The SNP associated most strongly with hypermorphic responses was tested for associations with death, organ dysfunction, and type of infection in two studies: a nested case-control study in a cohort of intensive care unit patients with sepsis, and a case-control study using patients with sepsis, patients with sepsis-related acute lung injury, and healthy control subjects. MEASUREMENTS AND MAIN RESULTS: The SNP demonstrating the most hypermorphic effect was the G allele of TLR1(-7202A/G) (rs5743551), which associated with elevated TLR1-mediated cytokine production (P < 2 x 10(-20)). TLR1(-7202G) marked a coding SNP that causes higher TLR1-induced NF-kappaB activation and higher cell surface TLR1 expression. In the cohort of patients with sepsis TLR1(-7202G) predicted worse organ dysfunction and death (odds ratio, 1.82; 95% confidence interval, 1.07-3.09). In the case-control study TLR1(-7202G) was associated with sepsis-related acute lung injury (odds ratio, 3.40; 95% confidence interval, 1.59-7.27). TLR1(-7202G) also associated with a higher prevalence of gram-positive cultures in both clinical studies. CONCLUSIONS: Hypermorphic genetic variation in TLR1 is associated with increased susceptibility to organ dysfunction, death, and gram-positive infection in sepsis.


Subject(s)
Genetic Predisposition to Disease/genetics , Immunity, Innate/genetics , Polymorphism, Single Nucleotide , Respiratory Distress Syndrome/genetics , Sepsis/genetics , Toll-Like Receptor 1/genetics , Adult , Case-Control Studies , Genomics , Gram-Negative Bacterial Infections/genetics , Humans , Polymorphism, Single Nucleotide/genetics , Polymorphism, Single Nucleotide/immunology , Prospective Studies , Sepsis/microbiology
2.
Am J Hum Genet ; 80(3): 502-9, 2007 Mar.
Article in English | MEDLINE | ID: mdl-17273971

ABSTRACT

Understanding patterns of gene-expression variation within and among human populations will provide important insights into the molecular basis of phenotypic diversity and the interpretation of patterns of expression variation in disease. However, little is known about how gene-expression variation is apportioned within and among human populations. Here, we characterize patterns of natural gene-expression variation in 16 individuals of European and African ancestry. We find extensive variation in gene-expression levels and estimate that approximately 83% of genes are differentially expressed among individuals and that approximately 17% of genes are differentially expressed among populations. By decomposing total gene-expression variation into within- versus among-population components, we find that most expression variation is due to variation among individuals rather than among populations, which parallels observations of extant patterns of human genetic variation. Finally, we performed allele-specific quantitative polymerase chain reaction to demonstrate that cis-regulatory variation in the lymphocyte adaptor protein (SH2B adapter protein 3) contributes to differential expression between European and African samples. These results provide the first insight into how human population structure manifests itself in gene-expression levels and will help guide the search for regulatory quantitative trait loci.


Subject(s)
Chromosomes, Human/genetics , Gene Expression Profiling , Gene Expression Regulation , Genetic Variation , Genetics, Population , Asian People/genetics , Chromosome Mapping , Humans , Lymphocytes/metabolism , Phenotype , Phylogeny , Quantitative Trait Loci , Transcription, Genetic , White People/genetics
3.
J Immunol ; 175(4): 2570-8, 2005 Aug 15.
Article in English | MEDLINE | ID: mdl-16081831

ABSTRACT

LPS stimulates a vigorous inflammatory response from circulating leukocytes that varies greatly from individual to individual. The goal of this study was to use an unbiased approach to identify differences in gene expression that may account for the high degree of interindividual variability in inflammatory responses to LPS in the normal human population. We measured LPS-induced cytokine production ex vivo in whole blood from 102 healthy human subjects and identified individuals who consistently showed either very high or very low responses to LPS (denoted lps(high) and lps(low), respectively). Comparison of gene expression profiles between the lps(high) and lps(low) individuals revealed 80 genes that were differentially expressed in the presence of LPS and 21 genes that were differentially expressed in the absence of LPS (p < 0.005, ANOVA). Expression of a subset of these genes was confirmed using real-time RT-PCR. Functional relevance for one gene confirmed to be expressed at a higher level in lps(high), adipophilin, was inferred when reduction in adipophilin mRNA by small interfering RNA in the human monocyte-like cell line THP-1 resulted in a modest but significant reduction in LPS-induced MCP-1 mRNA expression. These data illustrate a novel approach to the identification of factors that determine interindividual variability in innate immune inflammatory responses and identify adipophilin as a novel potential regulator of LPS-induced MCP-1 production in human monocytes.


Subject(s)
Cytokines/biosynthesis , Gene Expression Profiling/methods , Inflammation Mediators/physiology , Lipopolysaccharides/pharmacology , Adolescent , Adult , Aged , Analysis of Variance , Cell Line, Tumor , Chemokine CCL2/biosynthesis , Chemokine CCL2/genetics , Cytokines/blood , Cytokines/genetics , Cytokines/physiology , Dose-Response Relationship, Immunologic , Female , Gene Expression Profiling/standards , Gene Expression Profiling/statistics & numerical data , Humans , Immunity, Innate/genetics , Immunophenotyping , Inflammation Mediators/blood , Inflammation Mediators/metabolism , Male , Membrane Proteins/biosynthesis , Membrane Proteins/physiology , Middle Aged , Perilipin-2 , RNA, Messenger/biosynthesis
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