scholarly journals Oxidative potential of ambient water-soluble PM<sub>2.5</sub> measured by Dithiothreitol (DTT) and Ascorbic Acid (AA) assays in the southeastern United States: contrasts in sources and health associations

2015 ◽  
Vol 15 (21) ◽  
pp. 30609-30644 ◽  
Author(s):  
T. Fang ◽  
V. Verma ◽  
J. T. Bates ◽  
J. Abrams ◽  
M. Klein ◽  
...  
Keyword(s):  
Ascorbic Acid ◽  
Health Outcomes ◽  
Biomass Burning ◽  
Water Soluble ◽  
Automated System ◽  
Metal Species ◽  
Oxidative Potential ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
Ed Visits

Abstract. The ability of certain components of particulate matter to induce oxidative stress through catalytic generation of reactive oxygen species (ROS) in vivo may be one mechanism accounting for observed linkages between ambient aerosols and adverse health outcomes. A variety of assays have been used to measure this so-called aerosol oxidative potential. We developed a semi-automated system to quantify oxidative potential of filter aqueous extracts utilizing the dithiothreitol (DTT) assay and have recently developed a similar semi-automated system using the ascorbic acid (AA) assay. Approximately 500 PM2.5 filter samples collected in contrasting locations in the southeastern US were analyzed using both assays. We found that water-soluble DTT activity on a per air volume basis was more spatially uniform than water-soluble AA activity. DTT activity was higher in winter than in summer/fall, whereas AA activity was higher in summer/fall compared to winter, with highest levels near highly trafficked highways. DTT activity was correlated with organic and metal species, whereas AA activity was correlated with water-soluble metals (especially water-soluble Cu, r=0.70–0.91 at most sites). Source apportionment models, Positive Matrix Factorization (PMF) and a Chemical Mass Balance Method with ensemble-averaged source impact profiles (CMB-E), suggest a strong contribution from secondary processes (e.g., organic aerosol oxidation or metal mobilization by formation of an aqueous particle with secondary acids) and traffic emissions to both DTT and AA activities in urban Atlanta. Biomass burning was a large source for DTT activity, but insignificant for AA. DTT activity was well correlated with PM2.5 mass (r=0.49–0.86 across sites/seasons), while AA activity did not co-vary strongly with mass. A linear model was developed to estimate DTT and AA activities for the central Atlanta Jefferson Street site, based on the CMB-E sources that are statistically significant with positive coefficients. The model was used to estimate oxidative potential at this site over the period 1998–2009. Time-series epidemiological analyses were conducted to assess daily emergency department (ED) visits data for the five-county Atlanta metropolitan area based on the estimated 10 year backcast oxidative potential. Results suggest that estimated DTT activity was associated with ED visits for both asthma/wheeze and congestive heart failure, while AA activity was not linked to any health outcomes. The findings point to the importance of both organic components and transition metals from biomass burning and mobile sources to adverse health outcomes in this region.

scholarly journals Oxidative potential of ambient water-soluble PM<sub>2.5</sub> in the southeastern United States: contrasts in sources and health associations between ascorbic acid (AA) and dithiothreitol (DTT) assays

2016 ◽  
Vol 16 (6) ◽  
pp. 3865-3879 ◽  
Author(s):  
Ting Fang ◽  
Vishal Verma ◽  
Josephine T. Bates ◽  
Joseph Abrams ◽  
Mitchel Klein ◽  
...  
Keyword(s):  
Ascorbic Acid ◽  
Health Outcomes ◽  
Biomass Burning ◽  
Water Soluble ◽  
Automated System ◽  
Metal Species ◽  
Oxidative Potential ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
Ed Visits

Abstract. The ability of certain components of particulate matter to induce oxidative stress through the generation of reactive oxygen species (ROS) in vivo may be one mechanism accounting for observed linkages between ambient aerosols and adverse health outcomes. A variety of assays have been used to measure this so-called aerosol oxidative potential. We developed a semi-automated system to quantify oxidative potential of filter aqueous extracts utilizing the dithiothreitol (DTT) assay and report here the development of a similar semi-automated system for the ascorbic acid (AA) assay. Approximately 500 PM2.5 filter samples collected in contrasting locations in the southeastern US were analyzed for a host of aerosol species, along with AA and DTT activities. We present a detailed contrast in findings from these two assays. Water-soluble AA activity was higher in summer and fall than in winter, with highest levels near heavily trafficked highways, whereas DTT activity was higher in winter compared to summer and fall and more spatially homogeneous. AA activity was nearly exclusively correlated with water-soluble Cu (r  =  0.70–0.94 at most sites), whereas DTT activity was correlated with organic and metal species. Source apportionment models, positive matrix factorization (PMF) and a chemical mass balance method with ensemble-averaged source impact profiles (CMB-E), suggest a strong contribution from traffic emissions and secondary processes (e.g., organic aerosol oxidation or metals mobilization by secondary acids) to both AA and DTT activities in urban Atlanta. In contrast, biomass burning was a large source for DTT activity, but insignificant for AA. AA activity was not correlated with PM2.5 mass, while DTT activity co-varied strongly with mass (r  =  0.49–0.86 across sites and seasons). Various linear models were developed to estimate AA and DTT activities for the central Atlanta Jefferson Street site, based on the CMB-E sources. The models were then used to estimate daily oxidative potential at this site over the 1998–2009 period. Time series epidemiological analyses were conducted to assess daily emergency department (ED) visits data for the five-county Atlanta metropolitan area based on the estimated 10-year backcast oxidative potential. Estimated AA activity was not statistically associated with any tested health outcome, while DTT activity was associated with ED visits for both asthma or wheeze and congestive heart failure. The findings point to the importance of both organic components and transition metals from biomass burning and mobile sources to adverse health outcomes in this region.

scholarly journals The effects of assisted reproduction technologies on metabolic health and disease

2020 ◽  
Author(s):  
Maria Florencia Heber ◽  
Grażyna Ewa Ptak
Keyword(s):  
Metabolic Syndrome ◽  
Health Outcomes ◽  
Metabolic Diseases ◽  
Assisted Reproductive Technologies ◽  
Reproductive Technologies ◽  
Postnatal Life ◽  
Metabolic Alterations ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
The Individual

Abstract Background The increasing prevalence of metabolic diseases places a substantial burden on human health throughout the world. It is believed that predisposition to metabolic disease starts early in life, a period of great susceptibility to epigenetic reprogramming due to environmental insults. Assisted reproductive technologies (ART), i.e., treatments for infertility, may affect embryo development, resulting in multiple adverse health outcomes in postnatal life. The most frequently observed alteration in ART pregnancies is impaired placental nutrient transfer. Moreover, consequent intrauterine growth restriction and low birth weight followed by catch-up growth can all predict future obesity, insulin resistance, and chronic metabolic diseases. Scope of the review In this review, we have focused on evidence of adverse metabolic alterations associated with ART, which can contribute to the development of chronic adult-onset diseases, such as metabolic syndrome, type 2 diabetes, and cardiovascular disease. Due to high phenotypic plasticity, ART pregnancies can produce both offspring with adverse health outcomes, as well as healthy individuals. We further discuss the sex-specific and age-dependent metabolic alterations reflected in ART offspring, and how the degree of interference of a given ART procedure (from mild to more severe manipulation of the egg) affects the occurrence and degree of offspring alterations. Major conclusions Over the last few years, studies have reported signs of cardiometabolic alterations in ART offspring that are detectable at a young age but that do not appear to constitute a high risk of disease and morbidity per se. These abnormal phenotypes could be early indicators of the development of chronic diseases, including metabolic syndrome, in adulthood. The early detection of metabolic alterations could contribute to preventing the onset of disease in adulthood. Such early interventions may counteract the risk factors and improve the long-term health of the individual.

scholarly journals Understanding the influence of socioeconomic status on the association between combinations of lifestyle factors and adverse health outcomes: a systematic review protocol

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e042212
Author(s):  
Hamish Foster ◽  
Peter Polz ◽  
Frances Mair ◽  
Jason Gill ◽  
Catherine A O'Donnell
Keyword(s):  
Systematic Review ◽  
Socioeconomic Status ◽  
Health Outcomes ◽  
Meta Analysis ◽  
Lifestyle Factors ◽  
Lifestyle Factor ◽  
Unhealthy Lifestyle ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
The Impact

IntroductionCombinations of unhealthy lifestyle factors are strongly associated with mortality, cardiovascular disease (CVD) and cancer. It is unclear how socioeconomic status (SES) affects those associations. Lower SES groups may be disproportionately vulnerable to the effects of unhealthy lifestyle factors compared with higher SES groups via interactions with other factors associated with low SES (eg, stress) or via accelerated biological ageing. This systematic review aims to synthesise studies that examine how SES moderates the association between lifestyle factor combinations and adverse health outcomes. Greater understanding of how lifestyle risk varies across socioeconomic spectra could reduce adverse health by (1) identifying novel high-risk groups or targets for future interventions and (2) informing research, policy and interventions that aim to support healthy lifestyles in socioeconomically deprived communities.Methods and analysisThree databases will be searched (PubMed, EMBASE, CINAHL) from inception to March 2020. Reference lists, citations and grey literature will also be searched. Inclusion criteria are: (1) prospective cohort studies; (2) investigations of two key exposures: (a) lifestyle factor combinations of at least three lifestyle factors (eg, smoking, physical activity and diet) and (b) SES (eg, income, education or poverty index); (3) an assessment of the impact of SES on the association between combinations of unhealthy lifestyle factors and health outcomes; (4) at least one outcome from—mortality (all cause, CVD and cancer), CVD or cancer incidence. Two independent reviewers will screen titles, abstracts and full texts of included studies. Data extraction will focus on cohort characteristics, exposures, direction and magnitude of SES effects, methods and quality (via Newcastle-Ottawa Scale). If appropriate, a meta-analysis, pooling the effects of SES, will be performed. Alternatively, a synthesis without meta-analysis will be conducted.Ethics and disseminationEthical approval is not required. Results will be disseminated via peer-reviewed publication, professional networks, social media and conference presentations.PROSPERO registration numberCRD42020172588.

scholarly journals Self-Reported Energy Trajectories Predict Adverse Health Outcomes in Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 794-795
Author(s):  
Briana Sprague ◽  
Xiaonan Zhu ◽  
Rebecca Ehrenkranz ◽  
Qu Tian ◽  
Theresa Gmelin ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Mixed Models ◽  
Single Item ◽  
Adverse Health ◽  
Adverse Health Outcomes ◽  
Observational Cohort ◽  
Outcome Performance ◽  
Future Work ◽  
Mortality Hazard Ratio

Abstract Declining energy may indicate homeostatic dysregulation and predict adverse health outcomes. We hypothesized that declining energy would predict greater frailty (1-10), greater mortality, and faster mood (CES-D) and cognition (3MS) decline over time. This observational cohort studies included 2,443 older adults (mean age=74.6, 62.5% White, 47.8% men) from the Health ABC Study with up to eight years of data. Energy was assessed using a single-item question about prior month’s energy (baseline mean=6.7, SD=1.7, range=0–10, lower=less energy). We used linear mixed models to create energy change scores (mean=-.07 points/year, SD=.05, range=-0.32-0.21, negative=decreased energy). In regression models adjusting for baseline outcome performance and energy and demographics, declining energy predicted greater frailty (β=-2.72, 95%CI = -3.39,-2.06), greater mortality (hazard ratio=.07, p&lt;.001), and faster CES-D (β=-.93, 95%CI=-1.10,-0.75) but not 3MS decline. Energy changes are easy to assess and predict clinically-relevant outcomes. Future work should consider mechanisms of declining energy on disability-related outcomes. Part of a symposium sponsored by Brain Interest Group.

scholarly journals Genome Sequences of 15 Gardnerella vaginalis Strains Isolated from the Vaginas of Women with and without Bacterial Vaginosis: TABLE 1 

2016 ◽  
Vol 4 (5) ◽  
Author(s):  
Lloyd S. Robinson ◽  
Justin Perry ◽  
Sai Lek ◽  
Aye Wollam ◽  
Erica Sodergren ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Health Outcomes ◽  
Bacterial Vaginosis ◽  
Draft Genome ◽  
Gardnerella Vaginalis ◽  
Genome Sequences ◽  
Predominant Species ◽  
Adverse Health ◽  
Adverse Health Outcomes

Gardnerella vaginalis is a predominant species in bacterial vaginosis, a dysbiosis of the vagina that is associated with adverse health outcomes, including preterm birth. Here, we present the draft genome sequences of 15 Gardnerella vaginalis strains (now available through BEI Resources) isolated from women with and without bacterial vaginosis.

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