ReviewLaboratory markers for COPD in “susceptible” smokers
Introduction
Chronic Obstructive Pulmonary Disease (COPD) is a treatable and preventable disease state characterized by airflow limitation, but not fully reversible. The airflow limitation is usually progressive and associated with an abnormal inflammatory lung response to noxious particles and gases, primarily caused by cigarette smoking. Although COPD substantially affects the lung, it also produces significant systemic consequences [1].
Smoking is considered the major risk factor for development of COPD and accounts for 89–90% of the cumulative risk in the USA [2]. However, not all smokers will develop COPD. In fact, only a small proportion (about 15%) will develop clinical relevant disease [3], [4]. Why only a fraction of smokers develop clinical manifestations of the disease has been a focus of research in COPD pathogenesis.
The impact of COPD in women reveals substantial gender differences in susceptibility, severity and response to management of COPD [5]. Occupational exposures to various dusts and toxins, air pollution, especially fine particulate indoor pollution from biomass fuels, disproportionately affects women by early-onset and non-smoking related COPD [5], [6].
Despite these findings, COPD lacks established screening markers and viable biomarkers to monitor disease progression and outcome. Many inflammatory cells, mediators and enzymes are involved in the disease process, but their relative importance is still poorly understood. Noninvasive monitoring tools may be the induced sputum, exhaled air condensate, peripheral blood, urine, and bronchoalveolar lavage fluid (BALF). In selective cases, however, bronchial biopsies could be performed to monitor the disease process.
Among the candidate genes that have been studied in COPD are ones regulating proteases and antiproteases, genes that modulate the metabolism of toxic substances in cigatette smoke, genes involved in mucocilliary clearance, and genes that influence inflammatory mediators [7] (Fig. 1). Recently, detection of Microsatellite DNA Instability (MSI) has suggested that this test can be considered as a useful genetic screening marker for the “susceptible” smoker [8], [9], [10].
Section snippets
Airway hyper-responsiveness
According to the Duth hypothesis airway hyper-responsiveness to methacholine may help identify individuals susceptible to development of COPD. Baseline levels of lung function, age and smoking history all play a role in this phenotype. In some individuals, airway hyper-responsiveness predicts acceleration in lung function decline and development of COPD and in others may predict COPD-related mortality [11], [12].
Genetics
Genetic factors have attracted interest as they may help identify a subpopulation of smokers at risk for development of COPD [15]. Familial clustering of COPD has been observed [16] and twin studies [17] have supported the concept of genetic predisposition to COPD. Statistical models, however, suggest that there are likely to be multiple genes that contribute to the genetic predisposition for COPD [18], [19].
Several types of investigative tools have been used to study the relationship between
Biomarkers
Unlike other diseases in which there are viable biomarkers, COPD lacks established markers that can be utilized to track disease progression and outcome [5]. Recent studies, however, have shown that noninvasive monitoring tools may include induced sputum, exhaled air condensate, peripheral blood, urine, bronchoalveolar lavage fluid and in selective cases invasive procedures such as bronchial biopsies (Table 1) [5], [110], [111].
Conclusions
Chronic obstructive pulmonary disease lacks established screening laboratory markers and viable biomarkers to monitor disease progression and outcome. Many inflammatory cells, mediators and enzymes are involved, but their relative importance is still poorly understood. There is likely to be complex interplay between genetic and environmental factors. Many different genes appear involved in COPD pathogenesis (Fig. 2).
Table 2 summarizes pathways, main cells involved, candidate biomarkers and
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2020, ImmunobiologyCitation Excerpt :Recent evidence also suggests the presence of eosinophilic inflammation in COPD patients experiencing exacerbations (Singh, et al., 2018; Selvarajah, et al., 2016). The presence of systemic inflammation evidenced by the presence of several circulating inflammatory markers has been associated with extra-pulmonary manifestations of the disease (Tzortzaki, et al., 2006; Shaw, et al., 2014). Interestingly, accumulating evidence suggests that the IL-6/nitric oxide (NO) axis may play a pivotal role in the regulation of both local and systemic inflammatory mechanisms, thus representing potential therapeutic targets for COPD management/treatment (Cazzola, et al., 2007; Wei, et al., 2015; Rosenberg and Kalhan, 2012).
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2012, European Journal of Pharmaceutics and BiopharmaceuticsCitation Excerpt :To elucidate the therapeutic potential of DE/CsA-RP, anti-inflammatory effects of inhaled DE/CsA-RP were assessed using experimental asthma/COPD-model rats that we developed previously [10]. Both COPD and asthma can be defined as airway inflammation with some differences in inflammatory cells, mediators, response to inflammation, anatomical distribution, and BALF being frequently used as a biological source for clinical investigation of these inflammatory lung diseases [17]. In the present study, BALF was obtained at 24 h after the last antigen (OVA) challenge, and the inflammatory cells in BALF were counted (Fig. 4).
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2011, International Journal of PharmaceuticsCitation Excerpt :In contrast, rats treated with the IK312548-RP (50 μg of IK312548/rat) showed reduced inflammatory responses of lung, as shown by the 72% decrease of infiltrated granulocytes compared with those of antigen-treated rats. In addition to histochemical analyses of lung tissues, recruitment of inflammatory cells in BALF was also evaluated since BALF has been frequently used as a biological source for clinical investigation of inflammatory lung diseases (Tzortzaki et al., 2006). BALF was obtained at 24 h after the last antigen challenge, and the inflammatory cells in BALF were counted (Fig. 5).
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