| Literature DB >> 35453536 |
Oluwaseun Adebayo Bamodu1,2,3,4, Sheng-Ming Wu1,5,6,7, Po-Hao Feng1,5,7, Wei-Lun Sun1,5,7, Cheng-Wei Lin7,8,9, Hsiao-Chi Chuang1,7,10, Shu-Chuan Ho1,7,10, Kuan-Yuan Chen1,7,11, Tzu-Tao Chen1,5,7,11, Chien-Hua Tseng1,5,6,7,12, Wen-Te Liu1,5,7,10, Kang-Yun Lee1,5,7,11.
Abstract
Despite rapidly evolving pathobiological mechanistic demystification, coupled with advances in diagnostic and therapeutic modalities, chronic obstructive pulmonary disease (COPD) remains a major healthcare and clinical challenge, globally. Further compounded by the dearth of available curative anti-COPD therapy, it is posited that this challenge may not be dissociated from the current lack of actionable COPD pathognomonic molecular biomarkers. There is accruing evidence of the involvement of protracted 'smoldering' inflammation, repeated lung injury, and accelerated lung aging in enhanced predisposition to or progression of COPD. The relatively novel uncharacterized human long noncoding RNA lnc-IL7R (otherwise called LOC100506406) is increasingly designated a negative modulator of inflammation and regulator of cellular stress responses; however, its role in pulmonary physiology and COPD pathogenesis remains largely unclear and underexplored. Our previous work suggested that upregulated lnc-IL7R expression attenuates inflammation following the activation of the toll-like receptor (TLR)-dependent innate immune system, and that the upregulated lnc-IL7R is anti-correlated with concomitant high PM2.5, PM10, and SO2 levels, which is pathognomonic for exacerbated/aggravated COPD in Taiwan. In the present study, our quantitative analysis of lnc-IL7R expression in our COPD cohort (n = 125) showed that the lnc-IL7R level was significantly correlated with physiological pulmonary function and exhibited COPD-based stratification implications (area under the curve, AUC = 0.86, p < 0.001). We found that the lnc-IL7R level correctly identified patients with COPD (sensitivity = 0.83, specificity = 0.83), precisely discriminated those without emphysematous phenotype (sensitivity = 0.48, specificity = 0.89), and its differential expression reflected disease course based on its correlation with the COPD GOLD stage (r = -0.59, p < 0.001), %LAA-950insp (r = -0.30, p = 0.002), total LAA (r = -0.35, p < 0.001), FEV1(%) (r = 0.52, p < 0.001), FVC (%) (r = 0.45, p < 0.001), and post-bronchodilator FEV1/FVC (r = 0.41, p < 0.001). Consistent with other data, our bioinformatics-aided dose-response plot showed that the probability of COPD decreased as lnc-IL7R expression increased, thus, corroborating our posited anti-COPD therapeutic potential of lnc-IL7R. In conclusion, reduced lnc-IL7R expression not only is associated with inflammation in the airway epithelial cells but is indicative of impaired pulmonary function, pathognomonic of COPD, and predictive of an exacerbated/ aggravated COPD phenotype. These data provide new mechanistic insights into the ailing lung and COPD progression, as well as suggest a novel actionable molecular factor that may be exploited as an efficacious therapeutic strategy in patients with COPD.Entities:
Keywords: %LAA-950insp; FEV1(%); FVC(%); GOLD stage; chronic obstructive pulmonary disease (COPD); lnc-IL7R; long noncoding RNA; lung inflammation; pulmonary function
Year: 2022 PMID: 35453536 PMCID: PMC9031132 DOI: 10.3390/biomedicines10040786
Source DB: PubMed Journal: Biomedicines ISSN: 2227-9059
Baseline characteristics of our COPD cohort (n = 125).
| Variables | Patients with COPD (GOLD Stage, n = 125) | |||
|---|---|---|---|---|
| I (n = 18) | II (n = 58) | III (n = 38) | IV (n = 11) | |
| Age (years) | ||||
| Median (IQR) | 68.00 (65.25–71.50) | 68.50 (62.25–73.00) | 70.50 (67.00–77.25) | 66.00 (63.00–69.00) |
| Sex, n (%) | ||||
| Male | 17 (94.44) | 55 (94.83) | 31 (81.58) | 9 (81.82) |
| Female | 1 (5.56) | 3 (5.17) | 7 (18.42) | 2 (18.18) |
| BMI, Kg/m2 | ||||
| Median (IQR) | 23.90 (21.63–26.29) | 24.14 (21.16–26.60) | 22.30 (20.00–24.50) | 20.60 (19.90–22.98) |
| Tobacco smoking, n (%) | ||||
| Current smoker | 5 (27.78) | 31 (53.44) | 11 (28.95) | 2 (18.18) |
| Ex-smoker | 13 (72.22) | 23 (39.66) | 22 (57.89) | 8 (72.73) |
| Never-smoker | 0 (0.00) | 4 (6.90) | 5 (13.16) | 1 (9.09) |
| Smoking pack-years | ||||
| Mean ± SD (Min-Max) | 48.89 ± 35.19 (5.00–150.00) | 49.02 ± 36.34 (0.00–180.00) | 49.30 ± 35.66 (0.00–156.00) | 56.73 ± 37.65 (0.00–123.00) |
| Median (IQR) | 42.50 (20.50–60.00) | 40.00 (23.00–60.00) | 40.00 (25.00–75.00) | 46.00 (35.00–85.00) |
| Pulmonary function indices | ||||
| FEV1 (L) | 1.90 (1.74–2.11) | 1.61 b’ (1.38–1.90 | 0.99 a’b’c’d’ (0.74–1.12) | 0.58 a’b’c’d’ (0.52–0.66) |
| FEV1 % | 84.55 | 65.00 ab’c (57.38–72.00) | 39.05 a’b’c’d’ (35.00–45.00) | 25.00 a’b’c’d’ (22.10–27.95) |
| FEV1/FVC % | 63.68 | 59.25 a’b’ (54.12–65.50) | 46.50 a’b’c’d’ (42.11–55.25) | 41.41 a’b’c’d’ (30.93–45.67) |
| Emphysema severity | ||||
| Null/Mild (%) | 66.67 | 19.05 | 0.00 | 0.00 |
| Moderate (%) | 33.33 | 66.67 | 69.23 | 20.00 |
| Severe (%) | 0.00 | 14.28 | 30.77 | 80.00 |
| Lnc-IL7R expression | ||||
| Median (IQR) | 0.88 (0.79–0.94) | 0.59 (0.50–0.69) | 0.29 (0.19–0.41) | 0.18 (0.14–0.43) |
| COPD exacerbation in previous year | ||||
| 1.21 ± 1.03 | 1.09 ± 1.01 | 3.59 ± 2.10 | 3.74 ± 1.35 | |
COPD, chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; M, male; F, female; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; BMI, body mass index; IQR, interquartile range; %LAA-950insp, percentages of low attenuation area below—950 Hounsfield units. The values of FEV1/FVC % and FEV1 % were analyzed by Kruskal-Wallis test and Dunn’s multiple comparison test (a p < 0.05, a’ p < 0.01, compared with non-smoker; b’ p < 0.01, compared with smoker; c p < 0.05, c’ p < 0.01, compared with COPD patients with GOLD stage I; d’ p < 0.01, compared with COPD patients with GOLD stage II.
Figure 1lnc-IL7R positively correlates with physiological pulmonary function and exhibits diagnostic relevance for COPD-based patient stratification. (A) Visualization of principal component analysis based on factor analysis loading showing the associative predisposition of our panel of COPD-related variables and their stratification into components 1 and 2. (B) Correlative heat map of our panel of COPD-related variables. (C) Ellipsoid 3D image of the association between lnc-IL7R, GOLD-defined COPD severity, and %LAA-950insp-based Emphysema severity. (D) Graphical depiction of the ROC curve and AUC value of lnc-IL7R expression in our COPD cohort. (E) Statistical chart of the ROC curve of lnc-IL7R expression. ROC, receiver operating characteristic; AUC, area under curve.
Figure 2lnc-IL7R level correlates with COPD status and emphysematous phenotype, and its differential expression reflects disease course. Dot plots showing stratification of patients into (A) No-COPD or COPD, and (B) No-Emphysema or Emphysema groups, based on the expression of lnc-IL7R. (C) Pictorial depiction of the inhibitory role of lnc-IL7R expression on COPD with/or emphysematous phenotype. Scatter heat map plots depicting the correlation between lnc-IL7R expression, and (D) GOLD-defined COPD severity, (E) %LAA-950insp-based Emphysema severity, (F) total LAA, (G) FEV1, (H) FVC, or (I) post-BD FEV1/FVC. LAA, lung attenuation area; %LAA-950insp, percentage of lung attenuation area with values less than −950 Hounsfield Units on inspiratory CT scan; BD, bronchodilator.
Figure 3lnc-IL7R exhibits strong anti-COPD therapeutic potential. (A) Probit regression-based dose–response plot (left panel) and table (right panel) of the effect of lnc-IL7R expression on COPD probability. Bubble plots show how lnc-IL7R expression stratifies patients according to (B) GOLD-defined COPD severity, and (C) %LAA-950insp-based emphysema severity. (D) Surface plot of the correlation between lnc-IL7R expression, post-BD FEV1/FVC, and predicted FEV1.