Crynodeb
Introduction and Objectives
Chronic obstructive pulmonary disease (COPD) is third most common cause of death worldwide with 3.2 million deaths in 2019. Metabolomics can reveal 1000s of biochemical changes and could help understand the inflammation and remodelling seen in the airways in COPD. We conducted a metabolomic assessment of different liquid biopsies from COPD patients to determine systemic body-wide biochemical changes.
Methods
We report metabolomic signatures in sputum (n=27), saliva (n=39), urine (n=32), plasma (n=41), and serum (n=39) from 69 people (44 males, age 45–89 y, FEV130–112; 25 females, age 47–85 y; FEV125–118) with COPD (GOLD 2022 criteria), attending hospital respiratory clinics, compared to heterogenous non-COPD patient comparators (CON, n=40). Flow Infusion Electrospray mass spectroscopy (FIE-MS) with a QExactive hybrid quadrupole-Orbitrap was used to detect metabolomic signatures in the various patient biofluids (see figure 1). The metabolomes were assessed by multivariate statistics and the major sources of variation assessed using receiver operating characteristic curve – area under the curve (AUC).
Results
Metabolites linked to glycerolipid metabolism were consistently found to be a major source of variation in each biofluid (negative ionisation); namely glycerol and types of monoacylglycerols (figure 1). Monoacylglycerols levels were significantly different in COPD and CON patient groups in sputum, plasma, and urine while glycerol was a major source of variation in sputum, saliva, and serum.
Conclusions
Monoacylglycerol accumulation have also been shown as important signalling molecules in inflammatory processes. Their different levels in COPD patient biofluids is likely to reflect chronic systemic pro-inflammatory events. Further metabolomic assessment could show that variable levels of specific monoacylglycerols in biofluids are indicators of COPD progression or exacerbation and could help our understanding of the inflammatory processes.
Chronic obstructive pulmonary disease (COPD) is third most common cause of death worldwide with 3.2 million deaths in 2019. Metabolomics can reveal 1000s of biochemical changes and could help understand the inflammation and remodelling seen in the airways in COPD. We conducted a metabolomic assessment of different liquid biopsies from COPD patients to determine systemic body-wide biochemical changes.
Methods
We report metabolomic signatures in sputum (n=27), saliva (n=39), urine (n=32), plasma (n=41), and serum (n=39) from 69 people (44 males, age 45–89 y, FEV130–112; 25 females, age 47–85 y; FEV125–118) with COPD (GOLD 2022 criteria), attending hospital respiratory clinics, compared to heterogenous non-COPD patient comparators (CON, n=40). Flow Infusion Electrospray mass spectroscopy (FIE-MS) with a QExactive hybrid quadrupole-Orbitrap was used to detect metabolomic signatures in the various patient biofluids (see figure 1). The metabolomes were assessed by multivariate statistics and the major sources of variation assessed using receiver operating characteristic curve – area under the curve (AUC).
Results
Metabolites linked to glycerolipid metabolism were consistently found to be a major source of variation in each biofluid (negative ionisation); namely glycerol and types of monoacylglycerols (figure 1). Monoacylglycerols levels were significantly different in COPD and CON patient groups in sputum, plasma, and urine while glycerol was a major source of variation in sputum, saliva, and serum.
Conclusions
Monoacylglycerol accumulation have also been shown as important signalling molecules in inflammatory processes. Their different levels in COPD patient biofluids is likely to reflect chronic systemic pro-inflammatory events. Further metabolomic assessment could show that variable levels of specific monoacylglycerols in biofluids are indicators of COPD progression or exacerbation and could help our understanding of the inflammatory processes.
| Iaith wreiddiol | Saesneg |
|---|---|
| Tudalennau (o-i) | A90-A91 |
| Cyfnodolyn | Thorax |
| Cyfrol | 77 |
| Rhif cyhoeddi | S1 |
| Dynodwyr Gwrthrych Digidol (DOIs) | |
| Statws | Cyhoeddwyd - 11 Tach 2022 |