RESUMEN
Growth Hormone-Releasing Peptide 6 (GHRP-6) (His-(D-Trp)-Ala-Trp-(D-Phe)-Lys-NH2) is an agonist of the growth hormone secretagogue receptor. GHRP-6 mimics the effect of ghrelin. The present study focuses on the immunomodulatory effects of GHRP-6 in tilapia with and without the presence of Pseudomonas aeruginosa infection. GHRP-6 up-regulated the transcription levels of three piscidin-like antimicrobial peptides (Oreochromicins I, II, and III) and granzyme in a tissue-dependent manner. Antimicrobial activity stimulation in serum (lysozyme and anti-protease activity) was also confirmed. Besides, GHRP-6 enhanced the in vitro antimicrobial activity against P. aeruginosa in tilapia gills mucus and serum samples and decreased the bacterial load in vivo after infection with this Gram-negative bacterium. Our results evidenced, for the first time, a direct link between a growth hormone secretagogue ghrelin mimetic in fish and the enhancement of antimicrobial peptides transcription, which suggests that this secretagogue is capable to lead the activation of microbicidal activity in tilapia. Thus, these results open new possibilities for GHRP-6 application in aquaculture to stimulate the teleost immune system as an alternative treatment against opportunistic bacteria.
Asunto(s)
Antiinfecciosos , Cíclidos , Tilapia , Animales , Péptidos Antimicrobianos , Ghrelina , Hormona del Crecimiento , SecretagogosRESUMEN
Experimental techniques for the identification of genes associated with diseases are expensive and have certain limitations. In this scenario, computational methods are useful tools to identify lists of promising genes for further experimental verification. This paper describes a flexible methodology for the in silico prediction of genes associated with diseases combining the use of available tools for gene enrichment analysis, gene network generation and gene prioritization. A set of reference genes, with a known association to a disease, is used as bait to extract candidate genes from molecular interaction networks and enriched pathways. In a second step, prioritization methods are applied to evaluate the similarities between previously selected candidates and the set of reference genes. The top genes obtained by these programs are grouped into a single list sorted by the number of methods that have selected each gene. As a proof of concept, top genes reported a few years ago in SzGene and AlzGene databases were used as references to predict genes associated to schizophrenia and Alzheimer's disease, respectively. In both cases, we were able to predict a statistically significant amount of genes belonging to the updated lists.
Asunto(s)
Enfermedad de Alzheimer/genética , Estudios de Asociación Genética/estadística & datos numéricos , Esquizofrenia/genética , Biología Computacional , Bases de Datos Genéticas , Redes Reguladoras de Genes , Predisposición Genética a la Enfermedad , Estudio de Asociación del Genoma Completo/estadística & datos numéricos , Humanos , Diseño de SoftwareRESUMEN
The extreme polymorphism found at some of the human leukocyte antigen (HLA) system loci makes it an invaluable tool for population genetic analyses. In the present study the genetic polymorphism of the Cuban population was estimated at HLA-A, -B, and -Cw loci by DNA typing. HLA class I allele and haplotype diversity were determined in 390 unrelated Cuban individuals (188 whites and 202 mulattos) from all over the country. In whites 19, 27, and 14 allele families for the HLA-A, -B, and -Cw loci, respectively, were identified. In mulattos, for the same loci, 20, 18, and 14 allele families were identified. Allele and haplotypes frequencies, comparisons with other worldwide populations based on genetic distances, neighbor-joining dendrograms, and correspondence analyses were estimated. Most of the identified allele groups and haplotypes are also common to sub-Saharan African and Europeans populations. However, Amerindian and Asian alleles were also detected at lower frequencies. The results clearly reveal the high diversity and interethnic admixture of the studied population. Our results provide useful information for the further studies of the Cuban population evolution and disease association in terms of HLA class I genes.