1H NMR to Evaluate the Metabolome of Bronchoalveolar Lavage Fluid (BALf) in Bronchiolitis Obliterans Syndrome (BOS): Toward the Development of a New Approach for Biomarker Identification

Carlotta Ciaramelli, Marco Fumagalli, Simona Viglio, Anna Maria Bardoni, Davide Piloni, Federica Meloni, Paolo Iadarola, Cristina Airoldi

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This report describes the application of NMR spectroscopy to the profiling of metabolites in bronchoalveolar lavage fluid (BALf) of lung transplant recipients without bronchiolitis obliterans syndrome (BOS) (stable, S, n = 10), and with BOS at different degrees of severity (BOS 0p, n = 10; BOS I, n = 10). Through the fine-tuning of a number of parameters concerning both sample preparation/processing and variations of spectra acquisition modes, an efficient and reproducible protocol was designed for the screening of metabolites in a pulmonary fluid that should reflect the status of airway inflammation/injury. Exploiting the combination of mono- and bidimensional NMR experiments, 38 polar metabolites, including amino acids, Krebs cycle intermediates, mono- and disaccharides, nucleotides, and phospholipid precursors, were unequivocally identified. To determine which signature could be correlated with the onset of BOS, the metabolites' content of the above recipients was analyzed by multivariate (PCA and OPLS-DA) statistical methods. PCA analysis (almost) totally differentiated S from BOS I, and this discrimination was significantly improved by the application of OPLS-DA, whose model was characterized by excellent fit and prediction values (R2 = 0.99 and Q2 = 0.88). The analysis of S vs BOS 0p and of BOS 0p vs BOS I samples showed a clear discrimination of considered cohorts, although with a poorer efficiency compared to those measured for S vs BOS I patients. The data shown in this work assess the suitability of the NMR approach in monitoring different pathological lung conditions.

Original languageEnglish
Pages (from-to)1669-1682
Number of pages14
JournalJournal of Proteome Research
Volume16
Issue number4
DOIs
Publication statusPublished - Apr 7 2017

Fingerprint

Bronchiolitis Obliterans
Metabolome
Bronchoalveolar Lavage Fluid
Biomarkers
Metabolites
Nuclear magnetic resonance
Fluids
Transplants
Monosaccharides
Disaccharides
Passive Cutaneous Anaphylaxis
Nuclear magnetic resonance spectroscopy
Phospholipids
Statistical methods
Screening
Nucleotides
Tuning
Lung
Amino Acids
Proton Magnetic Resonance Spectroscopy

Keywords

  • BALf (bronchoalveolar lavage fluid)
  • BOS (bronchiolitis obliterans syndrome)
  • CLAD (chronic lung allograft dysfunction)
  • NMR-based metabolomics

ASJC Scopus subject areas

  • Biochemistry
  • Chemistry(all)

Cite this

1H NMR to Evaluate the Metabolome of Bronchoalveolar Lavage Fluid (BALf) in Bronchiolitis Obliterans Syndrome (BOS) : Toward the Development of a New Approach for Biomarker Identification. / Ciaramelli, Carlotta; Fumagalli, Marco; Viglio, Simona; Bardoni, Anna Maria; Piloni, Davide; Meloni, Federica; Iadarola, Paolo; Airoldi, Cristina.

In: Journal of Proteome Research, Vol. 16, No. 4, 07.04.2017, p. 1669-1682.

Research output: Contribution to journalArticle

Ciaramelli, Carlotta ; Fumagalli, Marco ; Viglio, Simona ; Bardoni, Anna Maria ; Piloni, Davide ; Meloni, Federica ; Iadarola, Paolo ; Airoldi, Cristina. / 1H NMR to Evaluate the Metabolome of Bronchoalveolar Lavage Fluid (BALf) in Bronchiolitis Obliterans Syndrome (BOS) : Toward the Development of a New Approach for Biomarker Identification. In: Journal of Proteome Research. 2017 ; Vol. 16, No. 4. pp. 1669-1682.
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AU - Ciaramelli, Carlotta

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AU - Iadarola, Paolo

AU - Airoldi, Cristina

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N2 - This report describes the application of NMR spectroscopy to the profiling of metabolites in bronchoalveolar lavage fluid (BALf) of lung transplant recipients without bronchiolitis obliterans syndrome (BOS) (stable, S, n = 10), and with BOS at different degrees of severity (BOS 0p, n = 10; BOS I, n = 10). Through the fine-tuning of a number of parameters concerning both sample preparation/processing and variations of spectra acquisition modes, an efficient and reproducible protocol was designed for the screening of metabolites in a pulmonary fluid that should reflect the status of airway inflammation/injury. Exploiting the combination of mono- and bidimensional NMR experiments, 38 polar metabolites, including amino acids, Krebs cycle intermediates, mono- and disaccharides, nucleotides, and phospholipid precursors, were unequivocally identified. To determine which signature could be correlated with the onset of BOS, the metabolites' content of the above recipients was analyzed by multivariate (PCA and OPLS-DA) statistical methods. PCA analysis (almost) totally differentiated S from BOS I, and this discrimination was significantly improved by the application of OPLS-DA, whose model was characterized by excellent fit and prediction values (R2 = 0.99 and Q2 = 0.88). The analysis of S vs BOS 0p and of BOS 0p vs BOS I samples showed a clear discrimination of considered cohorts, although with a poorer efficiency compared to those measured for S vs BOS I patients. The data shown in this work assess the suitability of the NMR approach in monitoring different pathological lung conditions.

AB - This report describes the application of NMR spectroscopy to the profiling of metabolites in bronchoalveolar lavage fluid (BALf) of lung transplant recipients without bronchiolitis obliterans syndrome (BOS) (stable, S, n = 10), and with BOS at different degrees of severity (BOS 0p, n = 10; BOS I, n = 10). Through the fine-tuning of a number of parameters concerning both sample preparation/processing and variations of spectra acquisition modes, an efficient and reproducible protocol was designed for the screening of metabolites in a pulmonary fluid that should reflect the status of airway inflammation/injury. Exploiting the combination of mono- and bidimensional NMR experiments, 38 polar metabolites, including amino acids, Krebs cycle intermediates, mono- and disaccharides, nucleotides, and phospholipid precursors, were unequivocally identified. To determine which signature could be correlated with the onset of BOS, the metabolites' content of the above recipients was analyzed by multivariate (PCA and OPLS-DA) statistical methods. PCA analysis (almost) totally differentiated S from BOS I, and this discrimination was significantly improved by the application of OPLS-DA, whose model was characterized by excellent fit and prediction values (R2 = 0.99 and Q2 = 0.88). The analysis of S vs BOS 0p and of BOS 0p vs BOS I samples showed a clear discrimination of considered cohorts, although with a poorer efficiency compared to those measured for S vs BOS I patients. The data shown in this work assess the suitability of the NMR approach in monitoring different pathological lung conditions.

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