Associations between select blood VOCs and hematological measures in NHANES 2005–2010

Watson, Christina; Naik, Samantha Lampert; Lewin, Michael; Ragin-Wilson, Angela; Irvin-Barnwell, Elizabeth

doi:10.1038/s41370-019-0192-8

Cited by 25 publications

(19 citation statements)

References 29 publications

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“…We also found a strong correlation between serum cotinine and eight VOCs (1,2-Dichlorobenzene, 1,2-Dichloroethane, Chlorobenzene, Carbon Tetrachloride, Methylene Chloride, Trichloroethene, 1,1,1-Trichloroethane, Nitrobenzene) in smokers infected with HIV|HBV|HCV. Studies showed that the smoking rate and tobacco exposure dose of this population were much higher than that of the general population 22 , 23 , 34 , 35 , so there were higher concentrations of cotinine and VOCs in the serum. Since the tobacco exposure of smokers infected with HIV|HBV|HCV was much higher than that of the general population, it could be inferred that the harm of serum cotinine and VOCs in the population would increase with the increase of tobacco exposure level.…”

Section: Discussionmentioning

confidence: 75%

Association between serum cotinine and volatile organic compounds (VOCs) in adults living with HIV, HBV, or HCV (NHANES 2005–2018)

Yang

Zhang

Lin

et al. 2022

Sci Rep

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Although people all know that nicotine in tobacco smoke is the key to cause health damage, they ignore the synergistic effect of a large number of Volatile Organic Compounds (VOCs) produced by incomplete tobacco combustion on nicotine or cotinine metabolism. Our aim is to investigate the association between serum VOCs and cotinine in smokers infected with HIV, HBV or HCV. National Health and Nutrition Examination Survey (NHANES 2005–2018) database, including 13,652 nationally representative subjects’ sociodemographic characteristics and serological indicators, was used in this study. Smokers living with human immunodeficiency virus (HIV), hepatitis B virus (HBV) or hepatitis C virus (HCV) were compared to non-infected population. The correlation between VOCs and cotinine as well as the effects of VOCs on cotinine metabolism were analyzed by Spearman correlation analysis and multivariable logistic regression analysis, respectively. Among HIV, HBV, or HCV infected smokers with the largest exposure dose to tobacco, the intensity of the association between VOCs and cotinine was the strongest. The results of multivariable binary logistic regression showed that high concentrations of 1,2-Dichlorobenzene (OR:1.036, CI:1.009–1.124), Benzene (OR:1.478, CI:1.036–2.292), Carbon Tetrachloride (OR:1.576, CI:1.275–2.085) and 2,5-Dimethylfuran (OR:1.091, CI:1.030–1.157) in blood might be independent risk factors leading to the increase of serum metabolite cotinine in smokers.

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Section: Discussionmentioning

confidence: 75%

Association between serum cotinine and volatile organic compounds (VOCs) in adults living with HIV, HBV, or HCV (NHANES 2005–2018)

Yang

Zhang

Lin

et al. 2022

Sci Rep

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“…In this study, we found a strong correlation between serum cotinine concentration and VOCs in smokers infected with HIV, HBV or HCV. Studies have shown that the smoking rate and tobacco exposure dose of this population are much higher than that of the general population 22,23,31,32 , so there are higher concentrations of cotinine and VOCs in the serum. Since the tobacco exposure of smokers infected with HIV, HBV or HCV is much higher than that of the general population, it can be inferred that the harm of cotinine and VOCs in serum to the population will increase with the increase of their concentration.…”

Section: Discussionmentioning

confidence: 84%

Association between Metabolite Cotinine and Volatile Organic Compounds (VOCs) Serum Levels in Adults Living with HIV, HBV, or HCV: NHANES 2005–2018

Yang

Zhang

Lin

et al. 2022

Preprint

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Objectives: To identify the unilateral effect of VOCs on cotinine metabolism. Methods: Measurements of 13,652 participants included sociodemographic characteristics and serological indicators (VOCs and cotinine). Correlation between VOCs and cotinine and the effect of VOCs on cotinine metabolism were analyzed by Spearman analysis and multivariable logistic regression analysis. Results: Among smokers infected with HIV | HBV | HCV with the largest exposure dose to tobacco, the intensity of the association between VOCs and cotinine was the strongest. High concentrations of 1,2-Dichlorobenzene (OR: 1.101, CI: 1.069–1.134), Benzene (OR: 1.354, CI: 1.123–1.632), 2,5-Dimethylfuran (OR: 1.054, CI: 1.027–1.082) and Nitrobenzene (OR: 1.347, CI: 1.039–1.746) and low concentration of Carbon Tetrachloride (OR: 0.760, CI: 0.661–0.873) in blood might be independent risk factors leading to the increase of serum metabolite cotinine. Conclusions: The influence intensity of four VOCs (including 1,2-dichlorobenzene, benzene, carbon tetrachloride, 2,5-dimethylfuran and nitrobenzene) on serum cotinine metabolism has a dose-response relationship, that is, the higher the tobacco exposure, the stronger the influence intensity. In addition, this study used molecular epidemiology to indirectly provide new ideas and views on the harm of smoking for smokers.

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“…Rather, participants were encouraged to partner with national studies, including the National Institutes of Health All of Us 46 cohort for potential retrospective case-control grouping and comparisons with members of other communities experiencing high levels of community pollution at coke oven factories or petrochemical emission sites. 17,47,48 Retrospective asthma development and exacerbation, acute cardiorespiratory effects, and pregnancy outcomes tied to the period of high pollution exposures require further attention. 48,49 Additional research is warranted on health outcomes linked to retrospective air pollution mixture exposures, indoor penetration of outdoor mixtures at the sites, total volatile organic compound exposures, and industrial versus neighborhood ozone formation from volatile organic compound and nitrogen oxide emission sources.…”

Section: Discussionmentioning

confidence: 99%

Generating Data Visualizations of Longitudinal Cohort Ambient Air Pollution Exposure

Castner¹,

Huntington‐Moskos²,

May³

2021

CIN: Computers, Informatics, Nursing

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A civic engagement and data science design was used to develop a report-back intervention to address stakeholder concerns related to air emissions surrounding a coke oven factory near Buffalo, NY. This factory had historically emitted high levels of benzene pollution and ceased operation in October 2018 because of violations of the US Clean Air Act and US Resource Conservation and Recovery Act. Using publicly available air pollution and weather data, descriptive time series and wind-rose data visualizations were developed using open-source software as part of a two-page report-back brief. Data from two air toxics monitoring sites in this direction suggest that industrial sources were likely the major contributor to the benzene in the air at these locations prior to May 2018, after which traffic emissions became the likely major contributor. Wind-rose visualizations demonstrated that the wind typically blew toward the northeast, which was qualitatively consistent with locations of stakeholder concerns. With the factory closed, collective efforts subsequently shifted to address traffic emission air pollution sources, factory site cleanup, and ground and water pollution mitigation. Because this intervention utilized open-source software and publicly available data, it can serve as a blueprint for future data-driven nursing interventions and community-led environmental justice efforts.

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Associations between select blood VOCs and hematological measures in NHANES 2005–2010

Cited by 25 publications

References 29 publications

Association between serum cotinine and volatile organic compounds (VOCs) in adults living with HIV, HBV, or HCV (NHANES 2005–2018)

Association between serum cotinine and volatile organic compounds (VOCs) in adults living with HIV, HBV, or HCV (NHANES 2005–2018)

Association between Metabolite Cotinine and Volatile Organic Compounds (VOCs) Serum Levels in Adults Living with HIV, HBV, or HCV: NHANES 2005–2018

Generating Data Visualizations of Longitudinal Cohort Ambient Air Pollution Exposure

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