16 research outputs found
The Exposome: Molecules to Populations
Derived from the term exposure, the exposome is an omic-scale characterization of the nongenetic drivers of health and disease. With the genome, it defines the phenome of an individual. The measurement of complex environmental factors that exert pressure on our health has not kept pace with genomics and historically has not provided a similar level of resolution. Emerging technologies make it possible to obtain detailed information on drugs, toxicants, pollutants, nutrients, and physical and psychological stressors on an omic scale. These forces can also be assessed at systems and network levels, providing a framework for advances in pharmacology and toxicology. The exposome paradigm can improve the analysis of drug interactions and detection of adverse effects of drugs and toxicants and provide data on biological responses to exposures. The comprehensive model can provide data at the individual level for precision medicine, group level for clinical trials, and population level for public health
<strong>Supplementary Material Salivary metabolomic signatures and body mass index (BMI) in young Italian adolescents: a pilot study</strong>
The files attached are the supplementary material to manuscript: Salivary metabolomic signatures and body mass index (BMI) in young Italian adolescents: a pilot study </p
The Exposome: Molecules to Populations
Derived from the term exposure, the exposome is an omic-scale characterization of the nongenetic drivers of health and disease. With the genome, it defines the phenome of an individual. The measurement of complex environmental factors that exert pressure on our health has not kept pace with genomics and historically has not provided a similar level of resolution. Emerging technologies make it possible to obtain detailed information on drugs, toxicants, pollutants, nutrients, and physical and psychological stressors on an omic scale. These forces can also be assessed at systems and network levels, providing a framework for advances in pharmacology and toxicology. The exposome paradigm can improve the analysis of drug interactions and detection of adverse effects of drugs and toxicants and provide data on biological responses to exposures. The comprehensive model can provide data at the individual level for precision medicine, group level for clinical trials, and population level for public health
Human Suction Blister Fluid Composition Determined Using High-Resolution Metabolomics
Interstitial fluid
(ISF) surrounds the cells and tissues of the
body. Since ISF has molecular components similar to plasma, as well
as compounds produced locally in tissues, it may be a valuable source
of biomarkers for diagnostics and monitoring. However, there has not
been a comprehensive study to determine the metabolite composition
of ISF and to compare it to plasma. In this study, the metabolome
of suction blister fluid (SBF), which largely consists of ISF, collected
from 10 human volunteers was analyzed using untargeted high-resolution
metabolomics (HRM). A wide range of metabolites were detected in SBF,
including amino acids, lipids, nucleotides, and compounds of exogenous
origin. Various systemic and skin-derived metabolite biomarkers were
elevated or found uniquely in SBF, and many other metabolites of clinical
and physiological significance were well correlated between SBF and
plasma. In sum, using untargeted HRM profiling, this study shows that
SBF can be a valuable source of information about metabolites relevant
to human health
Human Suction Blister Fluid Composition Determined Using High-Resolution Metabolomics
Interstitial fluid
(ISF) surrounds the cells and tissues of the
body. Since ISF has molecular components similar to plasma, as well
as compounds produced locally in tissues, it may be a valuable source
of biomarkers for diagnostics and monitoring. However, there has not
been a comprehensive study to determine the metabolite composition
of ISF and to compare it to plasma. In this study, the metabolome
of suction blister fluid (SBF), which largely consists of ISF, collected
from 10 human volunteers was analyzed using untargeted high-resolution
metabolomics (HRM). A wide range of metabolites were detected in SBF,
including amino acids, lipids, nucleotides, and compounds of exogenous
origin. Various systemic and skin-derived metabolite biomarkers were
elevated or found uniquely in SBF, and many other metabolites of clinical
and physiological significance were well correlated between SBF and
plasma. In sum, using untargeted HRM profiling, this study shows that
SBF can be a valuable source of information about metabolites relevant
to human health
Blood manganese levels during pregnancy and postpartum depression : A cohort study among women in Mexico
Background: Occupational studies have shown an association between elevated Mn exposure and depressive symptoms. Blood Mn (BMn) naturally rises during pregnancy due to mobilization from tissues, suggesting it could contribute to pregnancy and postpartum depressive symptoms. Objectives: To assess the association between BMn levels during pregnancy and postpartum depression (PPD), creating opportunities for possible future interventions. Methods: We studied 561 women from the reproductive longitudinal Programming Research in Obesity, Growth, Environment, and Social Stressors (PROGRESS) cohort in Mexico City. BMn was measured at the 2nd and 3rd trimesters, as well as delivery. The Edinburgh Postnatal Depression Scale (EPDS) was used to assess PPD symptoms at 12-months postpartum. We used a generalized linear model assuming a Poisson distribution to assess the association between BMn levels and PPD, with adjustments for age, stress and depressive symptoms during pregnancy, education, socioeconomic status, and contemporaneous blood lead levels. Results: The mean +/- standard deviation (SD) EPDS score at 12-months postpartum was 6.51 +/- 5.65, and 17.11% of women met the criteria for possible PPD (score >= 13). In adjusted models, BMn during the 3rd trimester (beta: 0.13, 95% CI: 0.04-0.21) and BMn levels averaged at the 2nd and 3rd trimester (beta: 0.14, 95% CI: 0.02-0.26) had a positive association with EPDS scores at 12 months postpartum. BMn at the 2nd trimester (beta: 0.07, 95% CI: -0.09-0.22) and delivery (beta: 0.03, 95% CI: -0.04-0.10) had a non-significant positive association with EPDS scores at 12-months postpartum. Stress and depressive symptoms during pregnancy was associated with higher EPDS scores at 12-months postpartum in all of the adjusted models but were only significant when either BMn during 3rd trimester or BMn averaged across 2nd and 3rd trimester was assessed as the exposure. Discussion: Our results demonstrate that elevated BMn levels during pregnancy predict PPD symptoms and could be a potential pathway for intervention and prevention of PPD
Sex-Specific Associations of Arsenic Exposure with Global DNA Methylation and Hydroxymethylation in Leukocytes: Results from Two Studies in Bangladesh
The Exposome: Molecules to Populations
Derived from the term exposure, the exposome is an omic-scale characterization of the nongenetic drivers of health and disease. With the genome, it defines the phenome of an individual. The measurement of complex environmental factors that exert pressure on our health has not kept pace with genomics and historically has not provided a similar level of resolution. Emerging technologies make it possible to obtain detailed information on drugs, toxicants, pollutants, nutrients, and physical and psychological stressors on an omic scale. These forces can also be assessed at systems and network levels, providing a framework for advances in pharmacology and toxicology. The exposome paradigm can improve the analysis of drug interactions and detection of adverse effects of drugs and toxicants and provide data on biological responses to exposures. The comprehensive model can provide data at the individual level for precision medicine, group level for clinical trials, and population level for public health