Epigenética: la relación del medio ambiente con el genoma y su influencia en la salud mental.

The study of the human genome, when performed only through the DNA sequence information, does not completely explain the high level of inter-individual variation usually observed. It is the control of gene expression by the epigenetics what allows to explain those variations of gene expression, as a reversible and hereditary process in the short term under the influence of the environment during various stages of development and adulthood, without modifying the genetic sequence. Epigenetic alterations are already being studied as valuable candidates in the eventual identification of biomarkers. Furthermore, their reversible nature makes them promising factors in the amelioration of disease symptoms through the use of therapeutic approaches. This article explains the epigenetic mechanisms and its relationship with the environment, diet, and its influence on evolution, the occurrence of diseases, human behavior and mental health.El estudio del genoma humano, cuando efectuado solo a través de la información secuencial de ADN, no explica del todo el alto nivel de variación inter-individual usualmente observado. Es la epigenética la que permite explicar aquellas variaciones de expresión génica como un proceso reversible y hereditario en el corto plazo, bajo la influencia del medio ambiente durante diversas etapas del desarrollo y la edad adulta, sin modificar la secuencia genética. Las alteraciones epigenéticas están siendo ya incorporadas como elementos valiosos en la posible identificación de biomarcadores. Además, debido a su naturaleza reversible, pueden constituirse en factores de mejoría de síntomas de enfermedad mediante el uso de enfoques terapéuticos. El presente artículo explica los mecanismos de inhibición de la expresión génica, su relación con el medio ambiente, la dieta y su influencia en la evolución, la ocurrencia de enfermedades, la conducta humana y la salud mental

Antigen-Induced IL-1RA Production Discriminates Active and Latent Tuberculosis Infection

The IGRA (Interferon Gamma Release Assays) test is currently the standard specific test for Mycobacterium tuberculosis infection status. However, a positive test cannot distinguish between active tuberculosis disease (ATBD) and latent tuberculosis infection (LTBI). Developing a test with this characteristic is needed. We conducted longitudinal studies to identify a combination of antigen peptides and cytokines to discriminate between ATBD and LTBI. We studied 54 patients with ATBD disease and 51 with LTBI infection. Cell culture supernatant from cells stimulated with overlapping Mycobacterium tuberculosis novel peptides and 40 cytokines/chemokines were analyzed using the Luminex technology. To summarize longitudinal measurements of analyte levels, we calculated the area under the curve (AUC). Our results indicate that in vitro cell stimulation with a novel combination of peptides (Rv0849-12, Rv2031c-14, Rv2031c-5, and Rv2693-06) and IL-1RA detection in culture supernatants can discriminate between LTBI and ATBD

Evolution of Hominin Polyunsaturated Fatty Acid Metabolism: From Africa to the New World

The metabolic conversion of dietary omega-3 and omega-6 18 carbon (18C) to long chain (>20 carbon) polyunsaturated fatty acids (LC-PUFAs) is vital for human life. The rate-limiting steps of this process are catalyzed by fatty acid desaturase (FADS) 1 and 2. Therefore, understanding the evolutionary history of the FADS genes is essential to our understanding of hominin evolution. The FADS genes have two haplogroups, ancestral and derived, with the derived haplogroup being associated with more efficient LC-PUFA biosynthesis than the ancestral haplogroup. In addition, there is a complex global distribution of these haplogroups that is suggestive of Neanderthal introgression. We confirm that Native American ancestry is nearly fixed for the ancestral haplogroup, and replicate a positive selection signal in Native Americans. This positive selection potentially continued after the founding of the Americas, although simulations suggest that the timing is dependent on the allele frequency of the ancestral Beringian population. We also find that the Neanderthal FADS haplotype is more closely related to the derived haplogroup and the Denisovan clusters closer to the ancestral haplogroup. Furthermore, the derived haplogroup has a time to the most recent common ancestor of 688,474years before present. These results support an ancient polymorphism, as opposed to Neanderthal introgression, forming in the FADS region during the Pleistocene with possibly differential selection pressures on both haplogroups. The near fixation of the ancestral haplogroup in Native American ancestry calls for future studies to explore the potential health risk of associated low LC-PUFA levels in these populations.Center for Health Related Informatics and Biomaging at the University of Maryland School of Medicine; National Institutes of Health/National Heart, Lung, and Blood Institute [U01 HL72518, HL087698, HL112064]; National Institutes of Health [R01-AT008621]Open access journalThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Whole-genome sequencing of 1,171 elderly admixed individuals from Brazil

As whole-genome sequencing (WGS) becomes the gold standard tool for studying population genomics and medical applications, data on diverse non-European and admixed individuals are still scarce. Here, we present a high-coverage WGS dataset of 1,171 highly admixed elderly Brazilians from a census-based cohort, providing over 76 million variants, of which ~2 million are absent from large public databases. WGS enables identification of ~2,000 previously undescribed mobile element insertions without previous description, nearly 5 Mb of genomic segments absent from the human genome reference, and over 140 alleles from HLA genes absent from public resources. We reclassify and curate pathogenicity assertions for nearly four hundred variants in genes associated with dominantly-inherited Mendelian disorders and calculate the incidence for selected recessive disorders, demonstrating the clinical usefulness of the present study. Finally, we observe that whole-genome and HLA imputation could be significantly improved compared to available datasets since rare variation represents the largest proportion of input from WGS. These results demonstrate that even smaller sample sizes of underrepresented populations bring relevant data for genomic studies, especially when exploring analyses allowed only by WGS