Inflammation is a common feature in the pathogenesis of cigarette smoke-associated diseases. The recruitment of inflammatory cells into the lung following cigarette smoke exposure presents a risk of tissue damage through the release of toxic mediators, including proteolytic enzymes and reactive oxygen species. This review represents a toxicological approach to investigation of cigarette smoke-induced lung injury, with a focus on laboratory studies and an emphasis on inflammatory mechanisms. The studies discussed in this review analyze the role of inflammation and inflammatory mediators in the development of injury. In cases where information relating to cigarette smoke is limited, examples are taken from other models of lung injury applicable to cigarette smoke. The primary aim of the review is to summarize published work so as to permit (1) an evaluation of chronic lung injury and inflammatory responses in animal models, (2) a discussion of inflammatory mediators in the development of chronic injury, and (3) identification of immunological mechanisms of injury. These studies discuss the currently understood roles of cytokines, cell adhesion molecules, and oxidative stress in inflammatory reactions and lung injury. A role for lipocortin 1 (annexin 1), a naturally occurring defense factor against inflammation, is discussed because of the possibility that impaired synthesis and degradation of lipocortin 1 will influence immune responses in animals exposed to cigarette smoke either by augmenting T helper cell Th1 response or by shifting Th1 to Th2 response. While Th1 augmentation will increase the risk for development of emphysema, Th1 to Th2 shift will favor development of asthma.
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http://dx.doi.org/10.1080/10937400802545094 | DOI Listing |
Nicotine Tob Res
January 2025
Faculty of Public Health & Policy, London School of Hygiene and Tropical Medicine, Keppel St, London WC1E 7HT, United Kingdom.
Introduction: Oral nicotine pouches (ONPs) are increasingly prevalent among young people and feature widely within social media content. This study systematically analyzes the most viewed videos on TikTok relating to ZYN (the most popular ONP, manufactured by a subsidiary of Philip Morris International) to understand their content sentiment and patterns, as well as the demographics and potential commercial biases of their creators.
Methods: We used an Apify scraper in July 2024 to collect URLs and metadata for the top 100 most viewed videos on TikTok under the #ZYN hashtag.
Cochrane Database Syst Rev
January 2025
Department of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA.
Background: Electronic cigarettes (ECs) are handheld electronic vaping devices that produce an aerosol by heating an e-liquid. People who smoke, healthcare providers, and regulators want to know if ECs can help people quit smoking, and if they are safe to use for this purpose. This is a review update conducted as part of a living systematic review.
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October 2024
Department of Epidemiology, University of Washington, Seattle, WA, USA.
Background: People living with HIV (PWH) frequently have co-morbid substance use disorders that may have been impacted by the COVID-19 pandemic. This study examined associations between COVID-related stress and increased substance use among PWH in Washington State.
Methods: Between August 2020 and March 2021, we conducted an online survey of 397 PWH in Western Washington.
IJID Reg
March 2025
Aklilu Lemma Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia.
Objectives: To assess tuberculosis (TB) and associated factors among patients with presumptive TB with chronic kidney disease (CKD).
Methods: A prospective cross-sectional study was conducted from January to December 2023 among 381 patients with CKD attending six hospitals found in five regions of Ethiopia. Sputum and urine specimens were collected and examined for TB using smear microscopy, culture, and Xpert MTB/RIF Ultra assay.
Tob Induc Dis
January 2025
Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
Introduction: Smoking behaviors can be quantified using various indices. Previous studies have shown that these indices measure and predict health risks differently. Additionally, the choice of measure differs depending on the health outcome of interest.
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