ABSTRACT
BACKGROUND: Preterm birth (PTB), defined as infant delivery before 37 weeks of completed gestation, results from the interaction of both genetic and environmental components and constitutes a complex multifactorial syndrome. Transcriptome analysis of PTB has proven challenging because of the multiple causes of PTB and the numerous maternal and fetal gestational tissues that must interact to facilitate parturition. The transcriptome of the chorioamnion membranes at the site of rupture in PTB and term fetuses may reflect the molecular pathways of preterm labor. METHODS: In this work, chorioamnion membranes from severe preterm and term fetuses were analyzed using RNA sequencing. Functional annotations and pathway analysis of differentially expressed genes were performed with the GAGE and GOSeq packages. A subset of differentially expressed genes in PTB was validated in a larger cohort using qRT-PCR and by comparing our results with genes and pathways previously reported in the literature. RESULTS: A total of 270 genes were differentially expressed (DE): 252 were upregulated and 18 were down-regulated in severe preterm births relative to term births. Inflammatory and immunological pathways were upregulated in PTB. Both types of pathways were previously suggested to lead to PTB. Pathways that were not previously reported in PTB, such as the hemopoietic pathway, appeared upregulated in preterm membranes. A group of 18 downregulated genes discriminated between term and severe preterm cases. These genes potentially characterize a severe preterm transcriptome pattern and therefore are candidate genes for understanding the syndrome. Some of the downregulated genes are involved in the nervous system, morphogenesis (WNT1, DLX5, PAPPA2) and ion channel complexes (KCNJ16, KCNB1), making them good candidates as biomarkers of PTB. CONCLUSIONS: The identification of this DE gene pattern will help with the development of a multi-gene disease classifier. These markers were generated in an admixed South American population in which PTB has a high incidence. Since the genetic background may differentially impact different populations, it is necessary to include populations such as those from South America and Africa, which are usually excluded from high-throughput approaches. These classifiers should be compared to those in other populations to obtain a global landscape of PTB.
Subject(s)
Extraembryonic Membranes/metabolism , Gene Expression Profiling , Premature Birth/genetics , Adult , Female , Gene Ontology , Humans , Pregnancy , Young AdultABSTRACT
CONTEXT: Preterm birth (PTB) is a complex disease in which medical, social, cultural, and hereditary factors contribute to the pathogenesis of this adverse event. Interactions between genes and environmental factors may complicate our understanding of the relative influence of both effects on PTB. To overcome this, we combined data obtained from a cohort of newborns and their mothers with multiplex analysis of inflammatory-related genes and several environmental risk factors of PTB to describe the environmental-genetic influence on PTB. OBJECTIVE: The study aimed to investigate the association between maternal and fetal genetic variations in genes related to the inflammation pathway with PTB and to assess the interaction between environmental factors with these variations. STUDY DESIGN: We conducted a case-control study at the Pereira Rossell Hospital Center, Montevideo, Uruguay. The study included 143 mother-offspring dyads who delivered at preterm (gestational age<37 weeks) and 108 mother-offspring dyads who delivered at term. We used real-time PCR followed by a high-resolution melting analysis to simultaneously identify gene variations involved in inflammatory pathways in the context of environmental variables. The genes analyzed were: Toll-like receptor 4 (TLR4), Interleukin 6 (IL6), Interleukin 1 beta (IL1B) and Interleukin 12 receptor beta (IL12RB). RESULTS: We detected a significant interaction between IL1B rs16944 polymorphism in maternal samples and IL6 rs1800795 polymorphism in newborns, emphasizing the role of the interaction of maternal and fetal genomes in PTB. In addition, smoke exposure and premature rupture of membranes (PROM) were significantly different between the premature group and controls. IL1B and IL6 polymorphisms in mothers were significantly associated with PTB when controlling for smoke exposure. TLR4 polymorphism and PROM were significantly associated with PTB when controlling for PROM, but only in the case of severe PTB. CONCLUSIONS: Interactions between maternal and fetal genomes may influence the timing of birth. By incorporating environmental data, we revealed genetic associations with PTB, a finding not found when we analyzed genetic data alone. Our results stress the importance of studying the effect of genotype interactions between mothers and children in the context of environmental factors because they substantially contribute to phenotype variability.
Subject(s)
Fetal Membranes, Premature Rupture/genetics , Gene-Environment Interaction , Genetic Variation , Premature Birth/etiology , Adult , Case-Control Studies , Female , Genetic Predisposition to Disease , Genotype , Humans , Infant, Newborn , Infant, Premature , Interleukin-1beta/genetics , Interleukin-6/genetics , Polymorphism, Single Nucleotide , Pregnancy , Premature Birth/genetics , Receptors, Interleukin-12/genetics , Risk Factors , Toll-Like Receptor 4/genetics , Young AdultABSTRACT
Molecular characterization of circulating influenza A viruses (IAV) in all regions of the world is essential to detect mutations potentially involved in increased virulence, anti-viral resistance and immune escape. In order to gain insight into these matters, a phylogenetic analysis of the neuraminidase (NA) gene of 146 pandemic H1N1 (H1N1pdm) influenza A virus strains isolated in Argentina, Brazil, Chile, Paraguay, Peru and Uruguay from 2009 to 2013 was performed. Comparison of vaccine strain A/California/7/2009 included in the influenza vaccine recommended for the Southern hemisphere from 2010 through 2013 influenza seasons and strains isolated in South America revealed several amino acid substitutions. Mapping of these substitutions revealed that most of them are located at the surface of the protein and do not interfere with the active site. 3.4% of the strains enrolled in these studies carried the H275Y substitution that confers resistance to oseltamivir. Strains isolated in South America differ from vaccine in two predicted B-cell epitope regions present at positions 102-103 and 351-352 of the NA protein. Moreover, vaccine and strains isolated in Paraguay differ also in an epitope present at position 229. These differences among strains isolated in South America and vaccine strain suggests that these epitopes may not be present in strains isolated in this region. A potential new N-linked glycosylation site was observed in the NA protein of an H1N1pdm IAV strain isolated in Brazil. The results of these studies revealed several genetic and antigenic differences in the NA of H1N1pdm IAV among vaccine and strains circulating in South America. All these findings contribute to our understanding of the course of genetic and antigenic evolution of H1N1pdm IAV populations circulating in the South American region and, consequently, contribute to the study and selection of future and more appropriate vaccines and anti-viral drugs.
Subject(s)
Genetic Variation , Influenza A Virus, H1N1 Subtype/classification , Influenza A Virus, H1N1 Subtype/genetics , Influenza, Human/virology , Neuraminidase/genetics , Phylogeny , Viral Proteins/genetics , Amino Acid Substitution , Cluster Analysis , Drug Resistance, Viral , Epitopes, B-Lymphocyte/genetics , Humans , Influenza A Virus, H1N1 Subtype/isolation & purification , Influenza, Human/epidemiology , Molecular Sequence Data , RNA, Viral/genetics , Sequence Analysis, DNA , South America/epidemiologyABSTRACT
BACKGROUND: Complex traits like cancer, diabetes, obesity or schizophrenia arise from an intricate interaction between genetic and environmental factors. Complex disorders often cluster in families without a clear-cut pattern of inheritance. Genomic wide association studies focus on the detection of tens or hundreds individual markers contributing to complex diseases. In order to test if a subset of single nucleotide polymorphisms (SNPs) from candidate genes are associated to a condition of interest in a particular individual or group of people, new techniques are needed. High-resolution melting (HRM) analysis is a new method in which polymerase chain reaction (PCR) and mutations scanning are carried out simultaneously in a closed tube, making the procedure fast, inexpensive and easy. Preterm birth (PTB) is considered a complex disease, where genetic and environmental factors interact to carry out the delivery of a newborn before 37 weeks of gestation. It is accepted that inflammation plays an important role in pregnancy and PTB. METHODS: Here, we used real time-PCR followed by HRM analysis to simultaneously identify several gene variations involved in inflammatory pathways on preterm labor. SNPs from TLR4, IL6, IL1 beta and IL12RB genes were analyzed in a case-control study. The results were confirmed either by sequencing or by PCR followed by restriction fragment length polymorphism. RESULTS: We were able to simultaneously recognize the variations of four genes with similar accuracy than other methods. In order to obtain non-overlapping melting temperatures, the key step in this strategy was primer design. Genotypic frequencies found for each SNP are in concordance with those previously described in similar populations. None of the studied SNPs were associated with PTB. CONCLUSIONS: Several gene variations related to the same inflammatory pathway were screened through a new flexible, fast and non expensive method with the purpose of analyzing their association to PTB. It can easily be used for simultaneously analyze any set of SNPs, either as the first choice for new association studies or as a complement to large-scale genotyping analysis. Given that inflammatory pathway is in the base of several diseases, it is potentially useful to analyze a broad range of disorders.