Relación entre trastornos mentales e hipercolesterolemia en pacientes del Hospital Regional Docente de Trujillo

Objetivo: Evaluar si existe relación entre Trastornos mentales e Hipercolesterolemia en pacientes del Hospital Regional Docente de Trujillo. Método: Se desarrolló un estudio no experimental, correlacional simple, obteniéndose los datos mediante una ficha de recolección de datos de historias clínicas (Anexo 2) , contándose con 180 pacientes que cumplían los criterios de inclusión como los de exclusión. Resultados: Para el análisis estadístico se usó la prueba de chi cuadrado y el test exacto de Fisher considerándose significancia estadística para un valor p < 0,05. Teniendo una población 79 pacientes con trastornos mentales lo cual, el 82.2% de ellos con hipercolesterolemia y 17.8% sin hipercolesterolemia, además 101 pacientes sin trastornos mentales con 37.9% pacientes con hipercolesterolemia y 62.1% sin hipercolesterolemia. Evidenciándose finalmente que existe relación entre Trastornos Mentales e hipercolesterolemia en pacientes del Hospital Regional Docente de Trujillo (X2: 31, 815, Valor P: 0,000, R de Pearson: 0, 420). Conclusión: Se concluye finalmente que existe relación entre los trastornos mentales e hipercolesterolemia en los pacientes del Hospital Regional Docente de Trujillo. Así mismo, se encontró una frecuencia mayor en pacientes con trastornos mentales con Hipercolesterolemia y una menor frecuencia en pacientes con trastornos mentales sin hipercolesterolemia de Hospital Regional Docente de Trujillo.Objective: To evaluate if there is a relationship between Mental Disorders and Hypercholesterolemia in patients of the Regional Teaching Hospital of Trujillo. Method: A non-experimental, simple correlational study was developed, obtaining the data through a data collection form of medical records (Annex 2), with 180 patients who met the inclusion criteria as exclusion criteria. Results: For the statistical analysis, the chi-squared test and Fisher's exact test were used considering statistical significance for a p value <0.05. With a population of 79 patients with mental disorders which, 82.2% of them with hypercholesterolemia and 17.8% without hypercholesterolemia, in addition 101 patients without mental disorders with 37.9% patients with hypercholesterolemia and 62.1% without hypercholesterolemia. Finally showing that there is a relationship between Mental Disorders and hypercholesterolemia in patients of the Regional Teaching Hospital of Trujillo (X2: 31, 815, P value: 0.000, Pearson R: 0, 420). Conclusion: It is finally concluded that there is a relationship between mental disorders and hypercholesterolemia in the patients of the Regional Teaching Hospital of Trujillo. Likewise, a higher frequency was found in patients with mental disorders with Hypercholesterolemia and a lower frequency in patients with mental disorders without hypercholesterolemia at Teaching Regional Hospital of Trujillo

Optimization of multi-classifiers for computational biology: application to gene finding and expression

Genomes of many organisms have been sequenced over the last few years. However, transforming such raw sequence data into knowledge remains a hard task. A great number of prediction programs have been developed to address part of this problem: the location of genes along a genome and their expression. We propose a multi-objective methodology to combine state-of-the-art algorithms into an aggregation scheme in order to obtain optimal methods’ aggregations. The results obtained show a major improvement in sensitivity when our methodology is compared to the performance of individual methods for gene finding and gene expression problems. The methodology proposed here is an automatic method generator, and a step forward to exploit all already existing methods, by providing alternative optimal methods’ aggregations to answer concrete queries for a certain biological problem with a maximized accuracy of the prediction. As more approaches are integrated for each of the presented problems, de novo accuracy can be expected to improve further.Ministry of Science and Innovation, Spain (MICINN) Spanish Government TIN-2006-12879Junta de Andalucia TIC-02788Howard Hughes Medical InstituteEuropean Commission Junta de Andaluci

Evolution of genetic networks for human creativity

The genetic basis for the emergence of creativity in modern humans remains a mystery despite sequencing the genomes of chimpanzees and Neanderthals, our closest hominid relatives. Data-driven methods allowed us to uncover networks of genes distinguishing the three major systems of modern human personality and adaptability: emotional reactivity, self-control, and self-awareness. Now we have identified which of these genes are present in chimpanzees and Neanderthals. We replicated our findings in separate analyses of three high-coverage genomes of Neanderthals. We found that Neanderthals had nearly the same genes for emotional reactivity as chimpanzees, and they were intermediate between modern humans and chimpanzees in their numbers of genes for both self-control and self-awareness. 95% of the 267 genes we found only in modern humans were not protein-coding, including many long-non-coding RNAs in the self-awareness network. These genes may have arisen by positive selection for the characteristics of human well-being and behavioral modernity, including creativity, prosocial behavior, and healthy longevity. The genes that cluster in association with those found only in modern humans are over-expressed in brain regions involved in human self-awareness and creativity, including late-myelinating and phylogenetically recent regions of neocortex for autobiographical memory in frontal, parietal, and temporal regions, as well as related components of cortico-thalamo-ponto-cerebellar-cortical and cortico-striato-cortical loops. We conclude that modern humans have more than 200 unique non-protein-coding genes regulating co-expression of many more proteincoding genes in coordinated networks that underlie their capacities for self-awareness, creativity, prosocial behavior, and healthy longevity, which are not found in chimpanzees or Neanderthals

Centrality evolution of the charged-particle pseudorapidity density over a broad pseudorapidity range in Pb-Pb collisions at root s(NN)=2.76TeV

Peer reviewe

Relación entre trastornos mentales e hipercolesterolemia en pacientes del Hospital Regional Docente de Trujillo

Objective: To evaluate if there is a relationship between Mental Disorders and Hypercholesterolemia in patients of the Regional Teaching Hospital of Trujillo. Method: A non-experimental, simple correlational study was developed, obtaining the data through a data collection form of medical records (Annex 2), with 180 patients who met the inclusion criteria as exclusion criteria. Results: For the statistical analysis, the chi-squared test and Fisher's exact test were used considering statistical significance for a p value <0.05. With a population of 79 patients with mental disorders which, 82.2% of them with hypercholesterolemia and 17.8% without hypercholesterolemia, in addition 101 patients without mental disorders with 37.9% patients with hypercholesterolemia and 62.1% without hypercholesterolemia. Finally showing that there is a relationship between Mental Disorders and hypercholesterolemia in patients of the Regional Teaching Hospital of Trujillo (X2: 31, 815, P value: 0.000, Pearson R: 0, 420). Conclusion: It is finally concluded that there is a relationship between mental disorders and hypercholesterolemia in the patients of the Regional Teaching Hospital of Trujillo. Likewise, a higher frequency was found in patients with mental disorders with Hypercholesterolemia and a lower frequency in patients with mental disorders without hypercholesterolemia at Teaching Regional Hospital of Trujillo.Objetivo: Evaluar si existe relación entre Trastornos mentales e Hipercolesterolemia en pacientes del Hospital Regional Docente de Trujillo. Método: Se desarrolló un estudio no experimental, correlacional simple, obteniéndose los datos mediante una ficha de recolección de datos de historias clínicas (Anexo 2) , contándose con 180 pacientes que cumplían los criterios de inclusión como los de exclusión. Resultados: Para el análisis estadístico se usó la prueba de chi cuadrado y el test exacto de Fisher considerándose significancia estadística para un valor p < 0,05. Teniendo una población 79 pacientes con trastornos mentales lo cual, el 82.2% de ellos con hipercolesterolemia y 17.8% sin hipercolesterolemia, además 101 pacientes sin trastornos mentales con 37.9% pacientes con hipercolesterolemia y 62.1% sin hipercolesterolemia. Evidenciándose finalmente que existe relación entre Trastornos Mentales e hipercolesterolemia en pacientes del Hospital Regional Docente de Trujillo (X2: 31, 815, Valor P: 0,000, R de Pearson: 0, 420). Conclusión: Se concluye finalmente que existe relación entre los trastornos mentales e hipercolesterolemia en los pacientes del Hospital Regional Docente de Trujillo. Así mismo, se encontró una frecuencia mayor en pacientes con trastornos mentales con Hipercolesterolemia y una menor frecuencia en pacientes con trastornos mentales sin hipercolesterolemia de Hospital Regional Docente de Trujillo

From unequal Access to Differentiated use

Report prepared for the Russell Sage Foundation. Authors are from Princeton University except for Hargittai

A survey of sRNA families in alpha-proteobacteria

We have performed a computational comparative analysis of six small non-coding RNA (sRNA) families in alpha-proteobacteria. Members of these families were first identified in the intergenic regions of the nitrogen-fixing endosymbiont S. meliloti by a combined bioinformatics screen followed by experimental verification. Consensus secondary structures inferred from covariance models for each sRNA family evidenced in some cases conserved motifs putatively relevant to the function of trans-encoded base-pairing sRNAs i.e., Hfq-binding signatures and exposed anti Shine-Dalgarno sequences. Two particular family models, namely alpha r15 and alpha r35, shared own sub-structural modules with the Rfam model suhB (RF00519) and the uncharacterized sRNA family alpha r35b, respectively. A third sRNA family, termed alpha r45, has homology to the cis-acting regulatory element speF (RF00518). However, new experimental data further confirmed that the S. meliloti alpha r45 representative is an Hfq-binding sRNA processed from or expressed independently of speF, thus refining the Rfam speF model annotation. All the six families have members in phylogenetically related plant-interacting bacteria and animal pathogens of the order of the Rhizobiales, some occurring with high levels of paralogy in individual genomes. In silico and experimental evidences predict differential regulation of paralogous sRNAs in S. meliloti 1021. The distribution patterns of these sRNA families suggest major contributions of vertical inheritance and extensive ancestral duplication events to the evolution of sRNAs in plant-interacting bacteria.Janelia Farm Research Campus (HHMI)Ministry of Science and Innovation, Spain (MICINN) Instituto de Salud Carlos III Spanish Government TIN-2009-13950 AGL2009-07925Junta de Andalucia TIC-02788GENIL PYR-2010-28European Commission CSD2009-00006Spanish Ministerio de Ciencia e Innovacion (FPI)CSIC (JAE

Three genetic–environmental networks for human personality

The Young Finns Study has been financially supported by the Academy of Finland: grants 286284, 322098, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), 41071 (Skidi), and 308676; the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research; Finnish Cultural Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjo Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; Diabetes Research Foundation of Finnish Diabetes Association: and EU Horizon 2020 (grant 755320 for TAXINOMISIS); and Tampere University Hospital Supporting Foundation. The American Foundation for Suicide Prevention supported the study of healthy Germans. The national Healthy Twin Family Register of Korea supported the study of healthy Koreans. The Anthropedia Foundation and the Spanish Ministry of Science and Technology TIN2012-38805 and DPI201569585-R supported this collaboration.Phylogenetic, developmental, and brain-imaging studies suggest that human personality is the integrated expression of three major systems of learning and memory that regulate (1) associative conditioning, (2) intentionality, and (3) self-awareness. We have uncovered largely disjoint sets of genes regulating these dissociable learning processes in different clusters of people with (1) unregulated temperament profiles (i.e., associatively conditioned habits and emotional reactivity), (2) organized character profiles (i.e., intentional self-control of emotional conflicts and goals), and (3) creative character profiles (i.e., self-aware appraisal of values and theories), respectively. However, little is known about how these temperament and character components of personality are jointly organized and develop in an integrated manner. In three large independent genome-wide association studies from Finland, Germany, and Korea, we used a data-driven machine learning method to uncover joint phenotypic networks of temperament and character and also the genetic networks with which they are associated. We found three clusters of similar numbers of people with distinct combinations of temperament and character profiles. Their associated genetic and environmental networks were largely disjoint, and differentially related to distinct forms of learning and memory. Of the 972 genes that mapped to the three phenotypic networks, 72% were unique to a single network. The findings in the Finnish discovery sample were blindly and independently replicated in samples of Germans and Koreans. We conclude that temperament and character are integrated within three disjoint networks that regulate healthy longevity and dissociable systems of learning and memory by nearly disjoint sets of genetic and environmental influences.Academy of Finland European Commission 286284 322098 134309 126925 121584 124282 129378 117787 41071 308676Social Insurance Institution of FinlandCompetitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals X51001Juho Vainio FoundationPaavo Nurmi FoundationFinnish Foundation for Cardiovascular ResearchFinnish Foundation for Cardiovascular ResearchFinnish Cultural FoundationFinnish IT center for scienceTampere Tuberculosis FoundationEmil Aaltonen FoundationYrjo Jahnsson FoundationDiabetes Research Foundation of Finnish Diabetes AssociationEU Horizon 2020 755320Tampere University Hospital Supporting FoundationAmerican Foundation for Suicide Preventionnational Healthy Twin Family Register of KoreaAnthropedia FoundationSpanish Government TIN2012-38805 DPI201569585-RSigne and Ane Gyllenberg Foundatio