Metabolomic profiling of asthma and chronic obstructive pulmonary disease: A pilot study differentiating diseases

Adamko, Darryl J.; Nair, Parameswaran; Mayers, Irvin; Tsuyuki, Ross T.; Regush, Shana; Rowe, Brian H.

doi:10.1016/j.jaci.2015.05.022

Cited by 80 publications

(71 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Thus, we did not stipulate a specific time of day for each urine collection nor did we mandate dietary restrictions. We hypothesized that the metabolites of interest would be altered sufficiently between disease and non-disease groups that such intrapersonal variability would be superseded, as shown in our previous publications [11–13]. …”

Section: Methodsmentioning

confidence: 99%

Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study

et al. 2016

Self Cite

View full text Add to dashboard Cite

BackgroundClinicians lack objective tests to help determine the severity of bronchiolitis or to distinguish a viral from bacterial causes of respiratory distress. We hypothesized that children with respiratory syncytial virus (RSV) infection would have a different metabolomic profile compared to those with bacterial infection or healthy controls, and this might also vary with bronchiolitis severity.MethodsClinical information and urine-based metabolomic data were collected from healthy age-matched children (n = 37) and those admitted to hospital with a proven infection (RSV n = 55; Non-RSV viral n = 16; bacterial n = 24). Nuclear magnetic resonance (NMR) measured 86 metabolites per urine sample. Partial least squares discriminant analysis (PLS-DA) was performed to create models of separation.ResultsUsing a combination of metabolites, a strong PLS-DA model (R2 = 0.86, Q2 = 0.76) was created differentiating healthy children from those with RSV infection. This model had over 90 % accuracy in classifying blinded infants with similar illness severity. Two other models differentiated length of hospitalization and viral versus bacterial infection.ConclusionWhile the sample sizes remain small, this is the first report suggesting that metabolomic analysis of urine samples has the potential to become a diagnostic aid. Future studies with larger sample sizes are required to validate the utility of metabolomics in pediatric patients with respiratory distress.

show abstract

Section: Methodsmentioning

confidence: 99%

Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…Additionally, FeNO levels have been reported to be higher in subjects with asthma and asthma-COPD overlap syndrome compared to that in subjects with COPD [59]. In an effort to better discriminate between patients with fixed airflow obstruction as caused by asthma versus COPD, recent studies have highlighted differences in the concentrations of urinary metabolites [60] and sagittal-lung CT measurements [61] in the two disease settings. These tools however require replication in additional cohorts of subjects.…”

Section: Infections and Neutrophilic Asthmamentioning

confidence: 99%

Neutrophilic Inflammation in Asthma and Association with Disease Severity

Ray

Kolls

2017

Trends in Immunology

372

307

View full text Add to dashboard Cite

Asthma is a chronic inflammatory disorder of the airways. While the local infiltration of eosinophils and mast cells, and their role in the disease, have long been recognized, neutrophil infiltration has also been assessed in many clinical studies. In these studies, airway neutrophilia was associated with asthma severity. Importantly, neutrophilia also correlates with asthma that is refractory to corticosteroids, the mainstay of asthma treatment. However, it is now increasingly recognized that neutrophils are a heterogeneous population, and a more precise phenotyping of these cells may help delineate different subtypes of asthma. Here, we review the current knowledge on the role of neutrophils in asthma and highlight future avenues of research in this field.

show abstract

“…Therefore, we propose that serum metabolites identified in the present study can be a new alternative and clinically convenient biomarker for the in vitro diagnosis of AERD. Metabolomic analysis has been used to differentiate asthmatic patients from healthy controls or from chronic obstructive pulmonary disease [6,16]. It is necessary to develop biomarkers that represent specific phenotypes or endotypes of asthma because of its heterogeneity [17].…”

Section: Discussionmentioning

confidence: 99%

Metabolomic analysis identifies potential diagnostic biomarkers for aspirin‐exacerbated respiratory disease

Ban

Cho

Kim

et al. 2016

Clin Experimental Allergy

View full text Add to dashboard Cite

SummaryBackground To date, there has been no reliable in vitro test to diagnose aspirin-exacerbated respiratory disease (AERD). Objective To investigate potential diagnostic biomarkers for AERD using metabolomic analysis. Methods An untargeted profile of serum from asthmatics in the first cohort (group 1) comprising 45 AERD, 44 patients with aspirin-tolerant asthma (ATA), and 28 normal controls was developed using the ultra-high-performance liquid chromatography (UHPLC)/QToF MS system. Metabolites that discriminate AERD from ATA were quantified in both serum and urine, which were collected before (baseline) and after the lysine-aspirin bronchoprovocation test (Lys-ASA BPT). The serum metabolites were validated in the second cohort (group 2) comprising 50 patients with AERD and 50 patients with ATA. Results A clear discrimination of metabolomes was found between patients with AERD and ATA. In group 1, serum levels of LTE 4 and LTE 4 /PGF 2 a ratio before and after the Lys-ASA BPT were significantly higher in patients with AERD than in patients with ATA (P < 0.05 for each), and urine baseline levels of these two metabolites were significantly higher in patients with AERD. Significant differences of serum metabolite levels between patients with AERD and ATA were replicated in group 2 (P < 0.05 for each). Moreover, serum baseline levels of LTE 4 and LTE 4 /PGF 2 a ratio discriminated AERD from ATA with 70.5%/71.6% sensitivity and 41.5%/62.8% specificity, respectively (AUC = 0.649 and 0.732, respectively P < 0.001 for each). Urine baseline LTE 4 levels were significantly correlated with the fall in FEV 1 % after the Lys-ASA BPT in patients with AERD (P = 0.008, r = 0.463). Conclusions and Clinical Relevance Serum metabolite level of LTE 4 and LTE 4 /PGF 2 a ratio was identified as potential in vitro diagnostic biomarkers for AERD using the UHPLC/QToF MS system, which were closely associated with major pathogenetic mechanisms underlying AERD.

show abstract

Metabolomic profiling of asthma and chronic obstructive pulmonary disease: A pilot study differentiating diseases

Cited by 80 publications

References 60 publications

Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study

Urine metabolomic profiling of children with respiratory tract infections in the emergency department: a pilot study

Neutrophilic Inflammation in Asthma and Association with Disease Severity

Metabolomic analysis identifies potential diagnostic biomarkers for aspirin‐exacerbated respiratory disease

Contact Info

Product

Resources

About