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      International Journal of COPD (submit here)

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      Th1/Th17 Cytokine Profiles are Associated with Disease Severity and Exacerbation Frequency in COPD Patients

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          Abstract

          Background

          T helper (Th) cell cytokine imbalances have been associated with the pathophysiology of chronic obstructive pulmonary disease (COPD), including the Th1/Th2 and Th17/T regulatory cells (Treg) paradigms. Clarifying cytokine profiles during COPD acute exacerbation (AE) and their relationships with clinical manifestations would help in understanding the pathogenesis of disease and improve clinical management.

          Materials and Methods

          Eighty seven patients admitted to the hospital with AEs of COPD were included in this study, and follow-up was conducted after discharge (every 30 days, for a total of 120 days). Sputum samples of patients at different time points (including at admission, discharge, and follow-up) were collected, and sputum cytokine profiling (12 cytokines in total) was performed using a Luminex assay.

          Results

          According to the cytokine profiles at admission, patients were divided into three clusters by a k-means clustering algorithm, namely, Th1 high Th17 high (n=26), Th1 lowTh17 low (n=56), and Th1 high Th17 low (n=5), which revealed distinct clinical characteristics. Patients with Th1 high Th17 low profile had a significantly longer length of non-invasive ventilation time and length of hospital stay than patients with Th1 high Th17 high profile (7 vs 0 days, 22 vs 11 days, respectively, p < 0.05), and had the highest AE frequency. Sputum levels of Th17 cytokines (IL-17A, IL-22, and IL-23) during AE were negatively correlated with AE frequency in the last 12 months ( r = −0.258, −0.289 and −0.216, respectively, p < 0.05). Moreover, decreased sputum IL-17A levels were independently associated with increased AE frequency, with an OR (95% CI) of 0.975 (0.958–0.993) and p = 0.006.

          Conclusion

          Th1/Th17 imbalance during AE is associated with the severity of COPD. Decreased Th17 cytokine expression is correlated with increased AE frequency. The Th1/Th17 balance may be a specific target for the therapeutic manipulation of COPD.

          Most cited references48

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          Estimation of Average Concentration in the Presence of Nondetectable Values

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            THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE

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              Epidemiologic Evaluation of Measurement Data in the Presence of Detection Limits

              Quantitative measurements of environmental factors greatly improve the quality of epidemiologic studies but can pose challenges because of the presence of upper or lower detection limits or interfering compounds, which do not allow for precise measured values. We consider the regression of an environmental measurement (dependent variable) on several covariates (independent variables). Various strategies are commonly employed to impute values for interval-measured data, including assignment of one-half the detection limit to nondetected values or of “fill-in” values randomly selected from an appropriate distribution. On the basis of a limited simulation study, we found that the former approach can be biased unless the percentage of measurements below detection limits is small (5–10%). The fill-in approach generally produces unbiased parameter estimates but may produce biased variance estimates and thereby distort inference when 30% or more of the data are below detection limits. Truncated data methods (e.g., Tobit regression) and multiple imputation offer two unbiased approaches for analyzing measurement data with detection limits. If interest resides solely on regression parameters, then Tobit regression can be used. If individualized values for measurements below detection limits are needed for additional analysis, such as relative risk regression or graphical display, then multiple imputation produces unbiased estimates and nominal confidence intervals unless the proportion of missing data is extreme. We illustrate various approaches using measurements of pesticide residues in carpet dust in control subjects from a case–control study of non-Hodgkin lymphoma.
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                Author and article information

                Journal
                Int J Chron Obstruct Pulmon Dis
                Int J Chron Obstruct Pulmon Dis
                COPD
                copd
                International Journal of Chronic Obstructive Pulmonary Disease
                Dove
                1176-9106
                1178-2005
                08 June 2020
                2020
                : 15
                : 1287-1299
                Affiliations
                [1 ]Department of Respiratory and Critical Care Medicine, Peking University People’s Hospital , Beijing 100044, People’s Republic of China
                [2 ]Department of Pulmonary and Critical Care Medicine, Ningde Municipal Hospital Affiliated to Fujian Medical University , Ningde, Fujian 352100, People’s Republic of China
                [3 ]Department of Respiratory and Critical Care Medicine, Xiang’An Hospital of Xiamen University , Xiamen, Fujian 361100, People’s Republic of China
                Author notes
                Correspondence: Zhancheng Gao; Yali Zheng Tel +86 18810900430; Tel +86 15011451515 Email zcgao@bjmu.edu.cn; yali_zheng@126.com
                [*]

                These authors contributed equally to this work

                Author information
                http://orcid.org/0000-0002-7948-6896
                http://orcid.org/0000-0002-0359-2799
                Article
                252097
                10.2147/COPD.S252097
                7294048
                32606639
                16748d9f-04b2-46ea-b215-2ea9d8646e9f
                © 2020 Yu et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 02 March 2020
                : 11 May 2020
                Page count
                Figures: 6, Tables: 3, References: 56, Pages: 13
                Categories
                Original Research

                Respiratory medicine
                chronic obstructive pulmonary disease,acute exacerbation,th1 cytokines,th17 cytokines,therapeutic

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