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Head in the Clouds: The Intersection of E-Cigarette Use, Systemic Inflammation, and Mental Health /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Head in the Clouds: The Intersection of E-Cigarette Use, Systemic Inflammation, and Mental Health // Kayla Rae Farrell.
作者:	Farrell, Kayla Rae,
面頁冊數:	1 electronic resource (323 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-08, Section: B.
Contained By:	Dissertations Abstracts International85-08B.
標題:	Environmental health. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30691531
ISBN:	9798381730869

Head in the Clouds: The Intersection of E-Cigarette Use, Systemic Inflammation, and Mental Health /
Farrell, Kayla Rae,

Head in the Clouds: The Intersection of E-Cigarette Use, Systemic Inflammation, and Mental Health /Kayla Rae Farrell. - 1 electronic resource (323 pages)

Source: Dissertations Abstracts International, Volume: 85-08, Section: B.

Background: E-cigarette use is a serious public health problem. While the literature on the adverse effects of vaping continues to expand, at the present time, the long-term effects are unknown. Decades of research have focused on tobacco smoke exposure and identified strong links between cigarette smoking and systemic inflammation, as well as between smoking and poor mental health outcomes. Thus, evaluating possible similar associations between exclusive vaping and inflammation, and between vaping and adverse mental health, are needed to address the underlying question: is vaping really any safer than smoking? The purpose of this study is to address research gaps pertaining to a proposed triad of: tobacco use, mental health disorders, and systemic inflammation. Additionally, assessing the metabolic effects of vaping could offer important insights into systemic effects.Methods: The current study addressed three key research objectives. First, data from two large nationally representative cohorts were employed to assess the independent associations between e-cigarette use, poor mental health, and inflammation, and to investigate whether the likelihood of mental health problems, such as depression among current e-cigarette users, is associated with systemic inflammation. Data from the NHANES (N = 4,961) and PATH (N = 2,869) cohorts were analyzed separately using bivariate analyses to assess independent associations between vaping, internalizing/externalizing problems, and inflammation; and adjusted weighted logistic regression analyses were used to determine the odds ratios (ORs) for internalizing/externalizing problems by e-cigarette category stratified by differential inflammatory biomarker levels. Second, a personally recruited NYC cohort (N = 134) was used to evaluate whether tobacco product users present significantly higher levels of inflammatory biomarkers in urine, nasal epithelial cell, and dried blood spot (DBS) samples compared to a tobacco-free control group, while also considering the impact of nicotine dependence on inflammation. High throughput analyses were completed to determine whether a broad panel of inflammatory biomarkers differs among the tobacco use groups for the separate biospecimen samples. Third, urine samples from the NYC cohort were analyzed using nonpolar and polar global liquid chromatography-mass spectrometry (LC-MS) to detect metabolomic changes among each use group (n = 10/group) compared to the non-smoking/non-vaping control (NS/NV) group. This allowed for the characterization of the metabolic landscape of different categories of e-cigarette use.Results: For the NHANES and PATH cohort analyses, depression/internalizing problems occurred in a greater percentage of all e-cigarette users compared to those who never used e-cigarettes (p < 0.001). In the adjusted NHANES analyses, ORs indicated that depression was associated with each category of e-cigarette use; however, this association did not vary by systemic inflammation (C-reactive protein (CRP)) level. Similarly, the PATH data analyses indicated that the hypothesized association between vaping and internalizing/externalizing problems did not vary by inflammation level for the assessed PATH biomarkers (CRP, IL-6, sICAM-1, fibrinogen, and 8-isoprostane). Among the NYC Cohort participants, DBS sample analyses indicated TNF-α was significantly increased in the exclusive vaping group compared to the NS/NV control group. For IL-8, both the dual use and cigarette smoking groups were significantly increased compared to the NS/NV group. Compared to DBS samples, minimal differences (p > 0.05) were observed between the groups for most urinary and all nasal pro-inflammatory cytokines; however, IL-2 in the urine of the exclusive smoking group was significantly greater than the NS/NV group. In the global metabolomics analyses, distinct metabolites were identified in urine samples within each tobacco product group as being significantly increased compared to the control group. Additionally, 24 uniquely named urinary metabolites were significantly increased for all 3 tobacco use groups, including 3 nicotine-related metabolites: Nicotine, Nornicotine, and N-Nitrosonornicotine.Conclusions: While a pattern of greater ORs for depression among e-cigarette users with elevated CRP using NHANES data provides provocative findings that might suggest a potential role of inflammation in the association between vaping and depression, I failed to find evidence that inflammation clearly moderates this association in either nationally representative dataset. Results from the NYC cohort suggest that perhaps different biomarkers, such as TNF-α in DBS samples, may be preferable targets for analyzing systemic inflammation among exclusive e-cigarette users in future studies. Furthermore, the metabolomics results indicate a potential for accurately profiling those metabolites increased due to vaping. This could have substantial implications for identifying differences in vaping behaviors and informing efforts to limit e-cigarette use worldwide.

English

ISBN: 9798381730869Subjects--Topical Terms:

543032
Environmental health.
Subjects--Index Terms:

E-cigarettes use

Head in the Clouds: The Intersection of E-Cigarette Use, Systemic Inflammation, and Mental Health /
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520 $a Background: E-cigarette use is a serious public health problem. While the literature on the adverse effects of vaping continues to expand, at the present time, the long-term effects are unknown. Decades of research have focused on tobacco smoke exposure and identified strong links between cigarette smoking and systemic inflammation, as well as between smoking and poor mental health outcomes. Thus, evaluating possible similar associations between exclusive vaping and inflammation, and between vaping and adverse mental health, are needed to address the underlying question: is vaping really any safer than smoking? The purpose of this study is to address research gaps pertaining to a proposed triad of: tobacco use, mental health disorders, and systemic inflammation. Additionally, assessing the metabolic effects of vaping could offer important insights into systemic effects.Methods: The current study addressed three key research objectives. First, data from two large nationally representative cohorts were employed to assess the independent associations between e-cigarette use, poor mental health, and inflammation, and to investigate whether the likelihood of mental health problems, such as depression among current e-cigarette users, is associated with systemic inflammation. Data from the NHANES (N = 4,961) and PATH (N = 2,869) cohorts were analyzed separately using bivariate analyses to assess independent associations between vaping, internalizing/externalizing problems, and inflammation; and adjusted weighted logistic regression analyses were used to determine the odds ratios (ORs) for internalizing/externalizing problems by e-cigarette category stratified by differential inflammatory biomarker levels. Second, a personally recruited NYC cohort (N = 134) was used to evaluate whether tobacco product users present significantly higher levels of inflammatory biomarkers in urine, nasal epithelial cell, and dried blood spot (DBS) samples compared to a tobacco-free control group, while also considering the impact of nicotine dependence on inflammation. High throughput analyses were completed to determine whether a broad panel of inflammatory biomarkers differs among the tobacco use groups for the separate biospecimen samples. Third, urine samples from the NYC cohort were analyzed using nonpolar and polar global liquid chromatography-mass spectrometry (LC-MS) to detect metabolomic changes among each use group (n = 10/group) compared to the non-smoking/non-vaping control (NS/NV) group. This allowed for the characterization of the metabolic landscape of different categories of e-cigarette use.Results: For the NHANES and PATH cohort analyses, depression/internalizing problems occurred in a greater percentage of all e-cigarette users compared to those who never used e-cigarettes (p < 0.001). In the adjusted NHANES analyses, ORs indicated that depression was associated with each category of e-cigarette use; however, this association did not vary by systemic inflammation (C-reactive protein (CRP)) level. Similarly, the PATH data analyses indicated that the hypothesized association between vaping and internalizing/externalizing problems did not vary by inflammation level for the assessed PATH biomarkers (CRP, IL-6, sICAM-1, fibrinogen, and 8-isoprostane). Among the NYC Cohort participants, DBS sample analyses indicated TNF-α was significantly increased in the exclusive vaping group compared to the NS/NV control group. For IL-8, both the dual use and cigarette smoking groups were significantly increased compared to the NS/NV group. Compared to DBS samples, minimal differences (p > 0.05) were observed between the groups for most urinary and all nasal pro-inflammatory cytokines; however, IL-2 in the urine of the exclusive smoking group was significantly greater than the NS/NV group. In the global metabolomics analyses, distinct metabolites were identified in urine samples within each tobacco product group as being significantly increased compared to the control group. Additionally, 24 uniquely named urinary metabolites were significantly increased for all 3 tobacco use groups, including 3 nicotine-related metabolites: Nicotine, Nornicotine, and N-Nitrosonornicotine.Conclusions: While a pattern of greater ORs for depression among e-cigarette users with elevated CRP using NHANES data provides provocative findings that might suggest a potential role of inflammation in the association between vaping and depression, I failed to find evidence that inflammation clearly moderates this association in either nationally representative dataset. Results from the NYC cohort suggest that perhaps different biomarkers, such as TNF-α in DBS samples, may be preferable targets for analyzing systemic inflammation among exclusive e-cigarette users in future studies. Furthermore, the metabolomics results indicate a potential for accurately profiling those metabolites increased due to vaping. This could have substantial implications for identifying differences in vaping behaviors and informing efforts to limit e-cigarette use worldwide.
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