| Literature DB >> 35418159 |
Sarah Rank Rønnow1, Jannie Marie Bülow Sand2, Line Mærsk Staunstrup2,3, Thomas Bahmer4,5, Michael Wegmann4,6, Lars Lunding4,6, Janette Burgess7, Klaus Rabe4,5, Grith Lykke Sorensen8, Oliver Fuchs9, Erika V Mutius10,11, Gesine Hansen12,13, Matthias Volkmar Kopp5,14, Morten Karsdal2, Diana Julie Leeming2, Markus Weckmann6,14.
Abstract
BACKGROUND: Asthma is a heterogeneous disease; therefore, biomarkers that can assist in the identification of subtypes and direct therapy are highly desirable. Asthma is a chronic inflammatory disease that leads to changes in the extracellular matrix (ECM) by matrix metalloproteinases (MMPs) degradation causing fragments of type I collagen that is released into circulation.Entities:
Year: 2022 PMID: 35418159 PMCID: PMC9006548 DOI: 10.1186/s40733-022-00084-6
Source DB: PubMed Journal: Asthma Res Pract ISSN: 2054-7064
Fig. 1A schematic overview of the procedure in the OVA-induced asthma mouse model. Mice were sensitized to OVA (i.p.) on days 1, 14, and 21 and challenged with OVA aerosol on days 26, 27, and 28 to induce acute allergic airway inflammation. Acute neutrophilic inflammation were provoked by i.t. instillation of the TLR-3 ligand poly(cytidylic-inosinic) acid on day 28. A control group was sham sensitized to PBS and challenged with OVA aerosol. The mice were sacrificed on day 29
Basic demographics of the ALLIANCE cohort
| Severe asthma | Mild-moderate asthma | Healthy controls | ||
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| Male |
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| Current or former smoker ≥ 10PY |
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| Blood Eosinophils |
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| Blood Neutrophils |
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| C1M ng/mL |
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| FEV1 (L) |
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| sReff (kPa*s/L) |
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| R5Hz (kPa/l/s) |
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| ≥2 severe exacerbations in last 12 months |
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Data are shown as mean ± SD or number (%). PY pack-years, FEV1 post-bronchodilator forced expiratory volume in 1 s, FVC forced vital capacity, sReff body plethysmography, specific effective airway resistance, R5Hz impulse oscillometry, resistance at 5 Hz, ICS inhaled corticosteroids, OCS oral corticosteroids, PY pack years, n/a not applicable. Statistical significance was determined using Kruskal-Wallisa, Mann-Whitney U testb, or chi-squared testc between the three groups
Fig. 2A Serum C1M levels were increased in severe asthmatics (n = 86) compared to healthy controls (n = 41) and mild-moderate asthmatics (n = 106) compared to healthy controls (P = 0.0005, P = 0.0075), respectively. Data are presented as a Tukey box plot and analyzed using the Kruskal-Wallis test using Dunn’s multiple comparisons. Asterisks indicate statistically significance: **p < 0.01, ***p < 0.001. B Correlation between serum log-transformed C1M level and airway resistance at 5 Hz. Data were analysed using spearman’s correlation (r = 0.281, p > 0.0001)
Fig. 3The relationship between BMI, age, smoking, allergic asthma, FeNO, the use of systemic steroids, inhaled corticosteroid dosage, blood neutrophils, and blood eosinophils on the levels of C1M in asthmatics were tested using a feature ranking using random forest. The top 3 most important attributes to C1M levels in the ALLIANCE cohort is Age, Blood neutrophils, and BMI
Fig. 4A Correlation between serum C1M level and blood neutrophils. Data were analysed using spearman’s correlation (r = 0.273, p < 0.0001). B Patients were stratified into high versus low blood neutrophils levels based on the median. C1M was significantly increased in patients with high neutrophil levels (n = 109) compared to low (n = 82) (p = 0.0154). C C1M was significantly increased in obese (BMI > 30) patients (n = 49) compared to normal-weight (BMI < 25) patients (n = 65) (p = 0.0137). D Obese asthmatics with high blood neutrophils (n = 33) had a significant increase in C1M compared to normal-weight asthmatics with low blood neutrophils (n = 36) (p = 0.0026). Data are presented as a Tukey box plot and analyzed using the Mann-Whitney test. Asterisks indicate statistically significance: *p < 0.05, **p < 0.01
Fig. 5A Serum C1M levels were significantly increased in patients with uncontrolled asthma with a high blood neutrophil level (n = 53) compared to patients with controlled asthma and a low blood neutrophil level (n = 30) (p = 0.0387). B C1M was significantly increased in obese patients with high neutrophil levels and uncontrolled asthma (n = 20) compared to normal-weight patients with low neutrophil levels and controlled asthma (n = 15) (p = 0.0277). Data are presented as a Tukey box plot and analyzed using the Mann-Whitney test. Asterisks indicate statistically significance: *p < 0.05
Fig. 6A Total cell count in the bronchoalveolar lavage (BAL) were significantly increased in OVA mice and acute neutrophilic inflammation compared to control (P < 0.0001, P < 0.0001), respectively B Serum C1M was significantly increased in serum from OVA mice and mice with an acute neutrophilic inflammation as compared to controls (P < 0.0001, P = 0.0002), respectively. C Correlation between serum C1M level and airway resistance (r = 0.501, p = 0.0005). D Correlation between serum C1M level and airway compliance (r = -0.473, P = 0.0016). E Correlation between serum C1M level and BAL neutrophil was not significant. F Serum C1M levels were decreased in OVA mice treated with CP17, a peptide inhibiting neutrophil accumulation, compared to OVA mice treated with a scrambled peptide (p = 0.047). Data are presented as bar graphs and analyzed using the Kruskal-Wallis test using Dunn’s multiple comparisons or the Mann-Whitney test. The correlation was analyzed using spearman’s correlation. Asterisks indicate statistically significance: *p < 0.05, ***p < 0.001 and ****p < 0.0001