<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JEP</journal-id><journal-title-group><journal-title>Journal of Environmental Protection</journal-title></journal-title-group><issn pub-type="epub">2152-2197</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jep.2015.65051</article-id><article-id pub-id-type="publisher-id">JEP-56751</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Indoor Particulate Matter Associated with Systemic Inflammation in COPD
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>.</surname><given-names>Bose</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>N.</surname><given-names>N. Hansel</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>E.</surname><given-names>S. Tonorezos</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>D.</surname><given-names>L. Williams</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>A.</surname><given-names>Bilderback</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>P.</surname><given-names>N. Breysse</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>G.</surname><given-names>B. Diette</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Meredith</surname><given-names>C. McCormack</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Memorial Sloan-Kettering Cancer Center New York, New York, USA</addr-line></aff><aff id="aff1"><addr-line>Johns Hopkins University Pulmonary and Critical Care Medicine, Baltimore, USA</addr-line></aff><aff id="aff3"><addr-line>Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>Mmccor16@jhmi.edu(MCM)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>30</day><month>04</month><year>2015</year></pub-date><volume>06</volume><issue>05</issue><fpage>566</fpage><lpage>572</lpage><history><date date-type="received"><day>27</day>	<month>February</month>	<year>2015</year></date><date date-type="rev-recd"><day>accepted</day>	<month>25</month>	<year>May</year>	</date><date date-type="accepted"><day>28</day>	<month>May</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Chronic obstructive pulmonary disease (COPD) is a chronic disease characterized by progressive airflow obstruction, along with pulmonary and systemic inflammation. Outdoor PM has been associated with morbidity and mortality in COPD but less is known about effects of indoor air quality. In former smokers with COPD, we investigated in-home PM effects on pulmonary and systemic inflammation, symptoms, and lung function. Participants underwent in-home air monitoring for two weeks and simultaneous health assessments. Median (IQR) PM
  <sub>2.5</sub> was 9 (7) μg/m
  <sup>3</sup>. Increased indoor PM
  <sub>2.5</sub> was associated with increased white blood cells, predominantly neutrophils and lymphocytes, suggesting that even relatively low indoor PM
  <sub>2.5</sub> may elicit a systemic inflammatory response in COPD.
 
</p></abstract><kwd-group><kwd>Particulate Matter</kwd><kwd> Indoor Pollution</kwd><kwd> Chronic Obstructive Pulmonary Disease (COPD)</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Chronic obstructive pulmonary disease (COPD) is a chronic respiratory disease characterized by progressive airflow obstruction with pulmonary and systemic inflammation that persists even after the inciting cause is removed [<xref ref-type="bibr" rid="scirp.56751-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.56751-ref2">2</xref>] . In industrialized nations, where it is the third leading cause of death [<xref ref-type="bibr" rid="scirp.56751-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.56751-ref4">4</xref>] , cigarette smoking is the most common identifiable risk factor. However, other environmental exposures, such as outdoor air pollution, have also been linked to increases in morbidity and mortality. In particular, exposure to outdoor particulate matter (PM) has been independently associated with respiratory exacerbations, hospital admissions, and mortality in those with COPD [<xref ref-type="bibr" rid="scirp.56751-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.56751-ref9">9</xref>] .</p><p>Recently, there has been increasing recognition of the potential health implications of indoor air quality. Americans spend up to 90% of their time indoors [<xref ref-type="bibr" rid="scirp.56751-ref10">10</xref>] , and specifically, older populations with COPD spend a greater portion of time indoors in their homes than their healthy counterparts [<xref ref-type="bibr" rid="scirp.56751-ref11">11</xref>] . As a result, the impact of indoor air upon these predominantly home dwellers may be much greater than our current knowledge of the effects of ambient pollution. Thus far, studies of indoor air quality and COPD have largely focused on the influence of biomass burning in developing countries, with isolated studies examining the health effects of indoor air quality on COPD in industrialized countries [<xref ref-type="bibr" rid="scirp.56751-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.56751-ref13">13</xref>] . Evidence that indoor pollutants within homes in the United States may be contributing to respiratory morbidity in individuals with COPD, even in the absence of smoking, is limited. Furthermore, the effects of indoor air pollution exposure upon pulmonary and systemic inflammation are not well established.</p><p>To address these gaps, we sought to determine the effect of short-term changes in in-home PM exposure on measures of pulmonary and systemic inflammation, symptoms, and lung function in a cohort of former smokers with COPD.</p></sec><sec id="s2"><title>2. Materials and Methods</title><p>The study was approved by the Johns Hopkins University Department of Medicine Institutional Review Board and participants provided informed consent prior to enrollment. To be eligible for the study, participants were required to have physician-diagnosed COPD and to be former smokers with a greater than 10 pack year history of smoking. Air sampling was performed in the room where the participant spent the most time, typically the bedroom. PM<sub>2.5</sub>, particles less than 2.5 &#181;m in diameter and PM<sub>10</sub>, particles less than 10 &#181;m in diameter, concentrations were measured continuously in each participant’s home during two consecutive weeks using PM<sub>10</sub> and PM<sub>2.5</sub> SKC PEM impactors loaded with 37-mm, 2.0-μm pore-size, Teflo<sup>&#174;</sup> polytetrafluoroethylene membrane fil&#173;ters (Pall Corporation, Ann Arbor, MI). Airborne nicotine was measured using a passive sampler constructed and analyzed at Johns Hopkins Bloomberg School of Public Health Secondhand Smoke Exposure Assessment Core using previously described methods [<xref ref-type="bibr" rid="scirp.56751-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.56751-ref15">15</xref>] . Health outcomes assessed at baseline, 1, and 2 weeks included pre- and post-bronchodilator spirometry, performed according to American Thoracic Society/European Respiratory Society guidelines [<xref ref-type="bibr" rid="scirp.56751-ref16">16</xref>] using predicted values based on NHANES reference equations [<xref ref-type="bibr" rid="scirp.56751-ref17">17</xref>] . Standardized questionnaires included the St. George’s Respiratory Questionnaire (SGRQ) (ranging from 0 to 100, higher scores indicate more limitation) [<xref ref-type="bibr" rid="scirp.56751-ref18">18</xref>] and the Breathlessness, Cough, and Sputum Scale (BCSS) (ranging from 0 to 12, higher scores indicate more severe disease [<xref ref-type="bibr" rid="scirp.56751-ref19">19</xref>] . Biologic markers included complete blood count (CBC) with differential, serum fibrinogen, and exhaled nitric oxide (eNO) [<xref ref-type="bibr" rid="scirp.56751-ref20">20</xref>] . Data were expressed as means and proportions, and exposure-outcome relationships examined by longitudinal data analysis using generalized estimating equations [<xref ref-type="bibr" rid="scirp.56751-ref21">21</xref>] . Multivariate models were adjusted for age, gender, education level (as a marker of socioeconomic status), and lung function. Analysis was conducted using Stata statistical software, version 12.0 (Stata Corp, College Station, TX), and statistical significance was reported at p &lt; 0.05.</p></sec><sec id="s3"><title>3. Results</title><p>Of the fifty participants, most were Caucasian (84%), male (58%), with an average [&#177;SD] age of 68 &#177; 7 years. All were former smokers with an average (SD) smoking history of 54 &#177; 34 pack years. The mean (SD) post- bronchodilator FEV<sub>1</sub> and FEV<sub>1</sub>% predicted were 1.7 (0.8) L and 61 (24), respectively. Participants were symptomatic with a baseline SGRQ total mean (SD) score of 32 (22) and an average (SD) BCSS score of 2.5 (2.4) (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>The median (IQR) in-home PM<sub>2.5</sub> concentrations were 9 (7) &#181;g/m<sup>3</sup> during the first 2 weeks, with median (IQR) values 10 (9) &#181;g/m<sup>3</sup> during the first week and 9 (6) &#181;g/m<sup>3</sup> during the second week. In-home PM<sub>2.5</sub> concentrations did not vary greatly between consecutive weeks with a median (IQR) change of −1 (4) &#181;g/m<sup>3</sup>. The median (IQR) PM<sub>2.5-10</sub> concentration was 5 (5) &#181;g/m<sup>3</sup> and also varied little between weeks, with a median (IQR) change of 0 (4) &#181;g/m<sup>3</sup>.</p><p>The presence of environmental tobacco smoke was rare with 27% reporting any smoking indoors. This was supported by environmental monitoring which revealed 23% with undetectable air nicotine concentrations and</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Participant characteristics<sup>*</sup></title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" >Characteristic</th><th align="center" valign="middle" >N = 50</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" >68 (7)</td></tr><tr><td align="center" valign="middle" >Gender (% female)</td><td align="center" valign="middle" >42</td></tr><tr><td align="center" valign="middle" >Race %</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Black</td><td align="center" valign="middle" >14</td></tr><tr><td align="center" valign="middle" >White</td><td align="center" valign="middle" >84</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Education %</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >8</td></tr><tr><td align="center" valign="middle" >High school</td><td align="center" valign="middle" >39</td></tr><tr><td align="center" valign="middle" >Some college</td><td align="center" valign="middle" >29</td></tr><tr><td align="center" valign="middle" >College graduate</td><td align="center" valign="middle" >14</td></tr><tr><td align="center" valign="middle" >Graduate school</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Smoking history (pack years)</td><td align="center" valign="middle" >54 (34)</td></tr><tr><td align="center" valign="middle" >Lung function (post-bronchodilator)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >FEV1 (liters)</td><td align="center" valign="middle" >1.7 (0.8)</td></tr><tr><td align="center" valign="middle" >FEV1 percent predicted</td><td align="center" valign="middle" >61 (24)</td></tr><tr><td align="center" valign="middle" >FEV1/FVC</td><td align="center" valign="middle" >0.57 (0.12)</td></tr><tr><td align="center" valign="middle" >Symptoms/quality of life</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >SGRQ</td><td align="center" valign="middle" >32 (22)</td></tr><tr><td align="center" valign="middle" >BCSS (average of daily values)</td><td align="center" valign="middle" >2.5 (2.4)</td></tr><tr><td align="center" valign="middle" >Biologic markers</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >WBC (/mm<sup>3</sup>)</td><td align="center" valign="middle" >7103 (1934)</td></tr><tr><td align="center" valign="middle" >Neutrophils (/mm<sup>3</sup>)</td><td align="center" valign="middle" >3771 (1944)</td></tr><tr><td align="center" valign="middle" >Lymphocytes (/mm<sup>3</sup>)</td><td align="center" valign="middle" >1966 (652)</td></tr><tr><td align="center" valign="middle" >Eosinophils (/mm<sup>3</sup>)</td><td align="center" valign="middle" >223 (155)</td></tr><tr><td align="center" valign="middle" >Hemoglobin (g/dL)</td><td align="center" valign="middle" >13.7 (1.7)</td></tr><tr><td align="center" valign="middle" >Platelets (K/mm<sup>3</sup>)</td><td align="center" valign="middle" >243 (86)</td></tr><tr><td align="center" valign="middle" >Fibrinogen<sup>+</sup> (mg/dL)</td><td align="center" valign="middle" >451 (259)</td></tr><tr><td align="center" valign="middle" >ENO (ppb)</td><td align="center" valign="middle" >23 (16)</td></tr></tbody></table></table-wrap></table-wrap-group><p>66% with low concentrations of &lt;0.1 μg/m<sup>3</sup>. Concentrations &lt; 0.1 μg/m<sup>3</sup> are low and represent an exposure consistent<sup> </sup>with less than half a cigarette per day [<xref ref-type="bibr" rid="scirp.56751-ref22">22</xref>] .</p><p>Indoor PM<sub>2.5</sub> was associated with increased serum white blood cell (WBC) count, with significant associations for both neutrophil and lymphocyte counts (<xref ref-type="table" rid="table2">Table 2</xref>), in both bivariate models and multivariate models. After adjustment for potential confounders, indoor PM<sub>2.5</sub> concentrations were not associated with peripheral eosinophils, eNO, lung function, quality of life, or symptoms (<xref ref-type="table" rid="table2">Table 2</xref>). Similar analyses were conducted with coarse fraction of particles (PM<sub>2.5-10</sub>) but no statistically significant relationships were found (not shown).</p><table-wrap-group id="2"><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Association of indoor PM<sub>2.5</sub> with lung function, symptoms, and biologic markers<sup>*</sup></title></caption><table-wrap id="2_1"><table><tbody><thead><tr><th align="center" valign="middle" >Outcome</th><th align="center" valign="middle"  colspan="2"  >Bivariate</th><th align="center" valign="middle"  colspan="2"  >Multivariate<sup>&#182;</sup></th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Point estimate</td><td align="center" valign="middle" >p-value</td><td align="center" valign="middle" >Point estimate</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle" >Lung function</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >FEV<sub>1</sub> percent predicted</td><td align="center" valign="middle" >0.57</td><td align="center" valign="middle" >0.75</td><td align="center" valign="middle" >0.75</td><td align="center" valign="middle" >0.57</td></tr><tr><td align="center" valign="middle" >FEV<sub>1</sub>/FVC</td><td align="center" valign="middle" >−0.81</td><td align="center" valign="middle" >0.40</td><td align="center" valign="middle" >−0.87</td><td align="center" valign="middle" >0.36</td></tr><tr><td align="center" valign="middle" >Symptoms/quality of life</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >BCSS<sup>+</sup></td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >0.06</td><td align="center" valign="middle" >0.04</td><td align="center" valign="middle" >0.26</td></tr><tr><td align="center" valign="middle" >SGRQ<sup>+</sup></td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.92</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >Biologic markers</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >WBC (/mm<sup>3</sup>)</td><td align="center" valign="middle" >316</td><td align="center" valign="middle" >&lt;0.01</td><td align="center" valign="middle" >324</td><td align="center" valign="middle" >&lt;0.01</td></tr><tr><td align="center" valign="middle" >Neutrophils (/mm<sup>3</sup>)</td><td align="center" valign="middle" >726</td><td align="center" valign="middle" >0.02</td><td align="center" valign="middle" >692</td><td align="center" valign="middle" >0.05</td></tr><tr><td align="center" valign="middle" >Lymphocytes (/mm<sup>3</sup>)</td><td align="center" valign="middle" >304</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >293</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >Eosinophils (/mm<sup>3</sup>)</td><td align="center" valign="middle" >0.26</td><td align="center" valign="middle" >0.05</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.26</td></tr><tr><td align="center" valign="middle" >Hemoglobin (g/dL)</td><td align="center" valign="middle" >0.32</td><td align="center" valign="middle" >0.03</td><td align="center" valign="middle" >0.23</td><td align="center" valign="middle" >0.07</td></tr><tr><td align="center" valign="middle" >Platelets (K/mm<sup>3</sup>)</td><td align="center" valign="middle" >3.43</td><td align="center" valign="middle" >0.56</td><td align="center" valign="middle" >4.86</td><td align="center" valign="middle" >0.39</td></tr><tr><td align="center" valign="middle" >Fibrinogen<sup>+</sup> (mg/dL)</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.93</td><td align="center" valign="middle" >0.18</td><td align="center" valign="middle" >0.66</td></tr><tr><td align="center" valign="middle" >ENO<sup>+</sup> (ppb)</td><td align="center" valign="middle" >−0.17</td><td align="center" valign="middle" >0.09</td><td align="center" valign="middle" >-0.13</td><td align="center" valign="middle" >0.23</td></tr></tbody></table></table-wrap></table-wrap-group></sec><sec id="s4"><title>4. Discussion</title><p>We found that increased indoor PM<sub>2.5</sub> was associated with increased peripheral white blood cell count, predominantly neutrophils and lymphocytes in former smokers with COPD. It is noteworthy that this relationship between in-home PM and systemic inflammation was detected in homes with relatively low indoor PM concentrations where environmental tobacco smoke was not the major source of airborne PM.</p><p>The finding that exposure to relatively low concentrations of indoor PM can elicit a systemic inflammatory response in COPD is important as COPD is increasingly conceptualized as a chronic, systemic disease for which there are emerging, but nonetheless, limited treatment options. Systemic inflammation in COPD may contribute to disease morbidity and progression, including extra-pulmonary manifestations [<xref ref-type="bibr" rid="scirp.56751-ref23">23</xref>] . In fact, patients with COPD who have evidence of elevated inflammatory biomarkers, including serum WBC, may have increased frequency of exacerbations and increased all-cause mortality despite having similar lung function impairment [<xref ref-type="bibr" rid="scirp.56751-ref24">24</xref>] . It remains poorly understood why the inflammation in COPD persists, even after the inciting cause is removed (e.g. even after patients stop smoking). These results suggest air pollution, in particular indoor PM, may be one potentially modifiable factor that perpetuates the inflammatory response characteristic of COPD.</p><p>Our findings that exposure to fine particles results in a systemic inflammatory response are consistent with previous studies of outdoor air pollution [<xref ref-type="bibr" rid="scirp.56751-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.56751-ref26">26</xref>] . Furthermore, we demonstrated that these changes were specific to the PM<sub>2.5</sub> fraction of particles, as coarse particles in this study were not associated with systemic markers of inflammation, adding to recent evidence that also suggests very limited effects of coarse PM upon inflammatory markers [<xref ref-type="bibr" rid="scirp.56751-ref27">27</xref>] . Ambient PM has been shown to mobilize the hemopoietic system into releasing leukocytes, including neutrophils and monocytes, into the peripheral circulation, suggesting an effect of PM on bone marrow [<xref ref-type="bibr" rid="scirp.56751-ref28">28</xref>] . Ex-vivo studies have suggested that this response is mediated by the release of pro-inflammatory cytokines (e.g. IL-1β, IL-6, and GM-CSF) from alveolar macrophages, which phagocytize PM as it enters the lung [<xref ref-type="bibr" rid="scirp.56751-ref29">29</xref>] . Similar mechanisms may explain the leukocytic inflammation associated with increases in indoor PM. Particulate matter’s potential effects on the hemopoietic system may also impact red blood cells, as demonstrated by studies that link ambient exposures to changes in hemoglobin in the blood [<xref ref-type="bibr" rid="scirp.56751-ref30">30</xref>] - [<xref ref-type="bibr" rid="scirp.56751-ref33">33</xref>] . Our findings may also support such a relationship, with a tendency towards a positive association between fine PM concentrations and hemoglobin, though this no longer reached statistical significance after multivariate analysis.</p><p>Current guidelines recognize indoor and outdoor air pollution as a harmful exposure but underscore the need for further evidence of health effects of indoor air pollution in COPD [<xref ref-type="bibr" rid="scirp.56751-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.56751-ref35">35</xref>] . One of the few studies examining indoor air quality and COPD was a cross-sectional study of 148 COPD patients in Scotland showing that higher PM<sub>2.5</sub> concentrations were associated with worse quality of life [<xref ref-type="bibr" rid="scirp.56751-ref36">36</xref>] . Indoor PM concentrations in this study were heavily influenced by second-smoke (median PM<sub>2.5</sub> 71 &#181;g/m<sup>3</sup> smoking homes vs 8 &#181;g/m<sup>3</sup> nonsmoking homes). In contrast, PM<sub>2.5</sub> concentrations in the present study were consistent with those of nonsmoking homes. In a recent longitudinal study, indoor PM<sub>2.5</sub> was associated with respiratory symptoms, rescue medication use and exacerbations [<xref ref-type="bibr" rid="scirp.56751-ref13">13</xref>] . The current study extends these findings and adds evidence that indoor PM is associated with systemic inflammation in COPD.</p><p>While our findings did not include evidence of an effect on symptoms or lung function, this may have been due to the modest sample size. Despite robust environmental monitoring and health outcome assessment at multiple time points, the relatively short duration of follow-up is a limitation. There may also be differential health effects related to PM sources, such as PM enriched with secondhand smoke versus PM from other sources, or unique effects in patients with different clinical phenotypes of COPD. Our sample was not large enough to conduct these types of stratified analyses but future, larger studies on indoor air quality and COPD are warranted.</p><p>The present study, together with the limited number of studies of indoor PM and COPD, sheds light on the potential impact of indoor air quality on vulnerable populations with COPD. The findings that even low concentrations of indoor PM are associated with a systemic inflammatory response addresses a gap in the evidence base and suggests that indoor PM exposure impacts health across a spectrum of concentrations and that there may not be a threshold indoor PM concentration below which can be considered “safe.” More studies of health effects of indoor air quality in susceptible populations, including COPD, are needed to inform indoor air quality standards. Furthermore, studies that investigate the effect of improving air quality on COPD health outcomes are warranted as indoor air pollution may represent a modifiable environmental exposure and a novel therapeutic target.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Our study demonstrated that within homes of former smokers with COPD, levels of PM<sub>2.5</sub>, despite being low, were significantly associated with elevated markers of systemic inflammation, particularly neutrophils and lymphocytes. These findings suggest that environmental factors can impact patients with COPD even years after quitting smoking, and that interventions targeting indoor air quality have the potential to decrease morbidity in this population.</p></sec><sec id="s6"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.56751-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Hogg, J.C. (2006) Why Does Airway Inflammation Persist after the Smoking Stops? Thorax, 61, 96-97. http://dx.doi.org/10.1136/thx.2005.049502</mixed-citation></ref><ref id="scirp.56751-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Willemse, B.W., ten Hacken, N.H., Rutgers, B., Lesman-Leegte, I.G., Postma, D.S. and Timens, W. (2005) Effect of 1-Year Smoking Cessation on Airway Inflammation in COPD and Asymptomatic Smokers. 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