Oxidative stress and inflammatory response are the key events in the pathogenesis of chronic airway diseases. The consumption of electronic cigarettes (e-cigs) with a variety of e-liquids/e-juices is alarmingly increasing without the unrealized potential harmful health effects. We hypothesized that electronic nicotine delivery systems (ENDS)/e-cigs pose health concerns due to oxidative toxicity and inflammatory response in lung cells exposed to their aerosols. The aerosols produced by vaporizing ENDS e-liquids exhibit oxidant reactivity suggesting oxidants or reactive oxygen species (OX/ROS) may be inhaled directly into the lung during a “vaping” session. These OX/ROS are generated through activation of the heating element which is affected by heating element status (new versus used), and occurs during the process of e-liquid vaporization. Unvaporized e-liquids were oxidative in a manner dependent on flavor additives, while flavors containing sweet or fruit flavors were stronger oxidizers than tobacco flavors. In light of OX/ROS generated in ENDS e-liquids and aerosols, the effects of ENDS aerosols on tissues and cells of the lung were measured. Exposure of human airway epithelial cells (H292) in an air-liquid interface to ENDS aerosols from a popular device resulted in increased secretion of inflammatory cytokines, such as IL-6 and IL-8. Furthermore, human lung fibroblasts exhibited stress and morphological change in response to treatment with ENDS/e-liquids. These cells also secrete increased IL-8 in response to a cinnamon flavored e-liquid and are susceptible to loss of cell viability by ENDS e-liquids. Finally, exposure of wild type C57BL/6J mice to aerosols produced from a popular e-cig increase pro-inflammatory cytokines and diminished lung glutathione levels which are critical in maintaining cellular redox balance. Thus, exposure to e-cig aerosols/juices incurs measurable oxidative and inflammatory responses in lung cells and tissues that could lead to unrealized health consequences.
Overweight preadolescenis and parents from 76 families were assigned to one of three behavioral treatment groups: parent/child target, child target, or nonspecific target. Percent overweight changes at the end of the 8-month treatment and 13-month follow-up were equivalent for children in the three treatment groups, but parents in the parent/child group lost more weight during treatment. Weight changes for parents and children increased through the 8-month treatment. Patterns of maintenance showed that 40% of the children were within 20% of their ideal weight by the end of treatment, achieving nonobese status. One hundred percent of the newly nonobese children in the parent/child group maintained nonobesity during follow-up, whereas only 30% in the child-alone group and 33% in the nonspecific group maintained nonobesity. In addition, weight losses for parents and children in the same family correlated positively at the end of treatment but not at follow-up. Results of this study suggest that parental modeling may be important during treatment, but long-term results probably are due to parental reinforcement or child self-regulation.
To narrow the gap in our understanding of potential oxidative properties associated with Electronic Nicotine Delivery systems (ENDS) i.e. e-cigarettes, we employed semi-quantitative methods to detect oxidant reactivity in disposable components of ENDS/e-cigarettes (batteries and cartomizers) using a fluorescein indicator. These components exhibit oxidants/reactive oxygen species reactivity similar to used conventional cigarette filters. Oxidants/reactive oxygen species reactivity in e-cigarette aerosols was also similar to oxidant reactivity in cigarette smoke. A cascade particle impactor allowed sieving of a range of particle size distributions between 0.450 and 2.02 μm in aerosols from an e-cigarette. Copper, being among these particles, is 6.1 times higher per puff than reported previously for conventional cigarette smoke. The detection of a potentially cytotoxic metal as well as oxidants from e-cigarette and its components raises concern regarding the safety of e-cigarettes use and the disposal of e-cigarette waste products into the environment.
After completing this course, the reader will be able to:1. Describe the influence of cigarette smoking on side effects during cancer treatment and following the end of cancer treatment.2. Identify areas in your practice in which smoking status can be assessed on a regular basis and devise a plan for disseminating cessation information and free cessation aids.This article is available for continuing medical education credit at CME.TheOncologist.com. CME CME ABSTRACTBackground. Cigarette smoking has long been implicated in cancer development and survival. However, few studies have investigated the impact of smoking on symptom burden in cancer survivors during treatment and at survivorship stage. This study examines the influence of cigarette smoking on side effects among 947 cancer patients during and 6 months following treatment. Methods. Patients diagnosed with cancer and scheduled to receive chemotherapy and/or radiation therapy reported on current smoking status (yes, no) and total symptom burden [the sum of 12 common symptoms (fatigue, hair loss, memory, nausea, depression, sleep, pain, concentration, hot flashes, weight loss, skin problems, and dyspnea) scored on an 11-point scale ranging from 0 ؍ "not present" to 10 ؍ "as bad as you can imagine"] during treatment and at 6-month follow-up. The adjusted mean total symptom burden by smoking status was determined by
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