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1.
Am J Prev Med ; 65(3): 534-542, 2023 09.
Artículo en Inglés | MEDLINE | ID: mdl-36935055

RESUMEN

INTRODUCTION: Social determinants are structures and conditions in the biological, physical, built, and social environments that affect health, social and physical functioning, health risk, quality of life, and health outcomes. The adoption of recommended, standard measurement protocols for social determinants of health will advance the science of minority health and health disparities research and provide standard social determinants of health protocols for inclusion in all studies with human participants. METHODS: A PhenX (consensus measures for Phenotypes and eXposures) Working Group of social determinants of health experts was convened from October 2018 to May 2020 and followed a well-established consensus process to identify and recommend social determinants of health measurement protocols. The PhenX Toolkit contains data collection protocols suitable for inclusion in a wide range of research studies. The recommended social determinants of health protocols were shared with the broader scientific community to invite review and feedback before being added to the Toolkit. RESULTS: Nineteen social determinants of health protocols were released in the PhenX Toolkit (https://www.phenxtoolkit.org) in May 2020 to provide measures at the individual and structural levels for built and natural environments, structural racism, economic resources, employment status, occupational health and safety, education, environmental exposures, food environment, health and health care, and sociocultural community context. CONCLUSIONS: Promoting the adoption of well-established social determinants of health protocols can enable consistent data collection and facilitate comparing and combining studies, with the potential to increase their scientific impact.


Asunto(s)
Calidad de Vida , Determinantes Sociales de la Salud , Humanos , Fenotipo , Recolección de Datos , Proyectos de Investigación
2.
Respir Res ; 20(1): 115, 2019 Jun 10.
Artículo en Inglés | MEDLINE | ID: mdl-31182091

RESUMEN

BACKGROUND: Single birth cohort studies have been the basis for many discoveries about early life risk factors for childhood asthma but are limited in scope by sample size and characteristics of the local environment and population. The Children's Respiratory and Environmental Workgroup (CREW) was established to integrate multiple established asthma birth cohorts and to investigate asthma phenotypes and associated causal pathways (endotypes), focusing on how they are influenced by interactions between genetics, lifestyle, and environmental exposures during the prenatal period and early childhood. METHODS AND RESULTS: CREW is funded by the NIH Environmental influences on Child Health Outcomes (ECHO) program, and consists of 12 individual cohorts and three additional scientific centers. The CREW study population is diverse in terms of race, ethnicity, geographical distribution, and year of recruitment. We hypothesize that there are phenotypes in childhood asthma that differ based on clinical characteristics and underlying molecular mechanisms. Furthermore, we propose that asthma endotypes and their defining biomarkers can be identified based on personal and early life environmental risk factors. CREW has three phases: 1) to pool and harmonize existing data from each cohort, 2) to collect new data using standardized procedures, and 3) to enroll new families during the prenatal period to supplement and enrich extant data and enable unified systems approaches for identifying asthma phenotypes and endotypes. CONCLUSIONS: The overall goal of CREW program is to develop a better understanding of how early life environmental exposures and host factors interact to promote the development of specific asthma endotypes.


Asunto(s)
Asma/diagnóstico , Asma/epidemiología , Exposición a Riesgos Ambientales/análisis , Estilo de Vida , Vigilancia de la Población/métodos , Adolescente , Asma/genética , Niño , Preescolar , Estudios de Cohortes , Exposición a Riesgos Ambientales/prevención & control , Femenino , Humanos , Lactante , Masculino , Adulto Joven
3.
Cancer Cell ; 32(3): 360-376.e6, 2017 09 11.
Artículo en Inglés | MEDLINE | ID: mdl-28898697

RESUMEN

We define how chronic cigarette smoke-induced time-dependent epigenetic alterations can sensitize human bronchial epithelial cells for transformation by a single oncogene. The smoke-induced chromatin changes include initial repressive polycomb marking of genes, later manifesting abnormal DNA methylation by 10 months. At this time, cells exhibit epithelial-to-mesenchymal changes, anchorage-independent growth, and upregulated RAS/MAPK signaling with silencing of hypermethylated genes, which normally inhibit these pathways and are associated with smoking-related non-small cell lung cancer. These cells, in the absence of any driver gene mutations, now transform by introducing a single KRAS mutation and form adenosquamous lung carcinomas in mice. Thus, epigenetic abnormalities may prime for changing oncogene senescence to addiction for a single key oncogene involved in lung cancer initiation.


Asunto(s)
Bronquios/patología , Transformación Celular Neoplásica/patología , Epigenómica , Células Epiteliales/metabolismo , Mutación/genética , Proteínas Proto-Oncogénicas p21(ras)/genética , Fumar/efectos adversos , Fumar/genética , Animales , Carcinoma de Pulmón de Células no Pequeñas/genética , Carcinoma de Pulmón de Células no Pequeñas/patología , Proliferación Celular/genética , Transformación Celular Neoplásica/genética , Cromatina/metabolismo , ADN (Citosina-5-)-Metiltransferasa 1 , ADN (Citosina-5-)-Metiltransferasas/metabolismo , Daño del ADN , Metilación de ADN/genética , Proteína Potenciadora del Homólogo Zeste 2/metabolismo , Células Epiteliales/patología , Transición Epitelial-Mesenquimal/genética , Regulación Neoplásica de la Expresión Génica , Genoma Humano , Humanos , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/patología , Masculino , Ratones , Fenotipo , Regiones Promotoras Genéticas/genética , Transducción de Señal/genética , Sirtuina 1/metabolismo
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