Serum metabolomics analysis of patients with chronic obstructive pulmonary disease and 'frequent exacerbator' phenotype.
Mol Med Rep
; 30(2)2024 08.
Article
en En
| MEDLINE
| ID: mdl-38873983
ABSTRACT
Chronic obstructive pulmonary disease (COPD) exacerbations accelerate loss of lung function and increased mortality. The complex nature of COPD presents challenges in accurately predicting and understanding frequent exacerbations. The present study aimed to assess the metabolic characteristics of the frequent exacerbation of COPD (COPDFE) phenotype, identify potential metabolic biomarkers associated with COPDFE risk and evaluate the underlying pathogenic mechanisms. An internal cohort of 30 stable patients with COPD was recruited. A widely targeted metabolomics approach was used to detect and compare serum metabolite expression profiles between patients with COPDFE and patients with nonfrequent exacerbation of COPD (COPDNE). Bioinformatics analysis was used for pathway enrichment analysis of the identified metabolites. Spearman's correlation analysis assessed the associations between metabolites and clinical indicators, while receiver operating characteristic (ROC) analysis evaluated the ability of metabolites to distinguish between two groups. An external cohort of 20 patients with COPD validated findings from the internal cohort. Out of the 484 detected metabolites, 25 exhibited significant differences between COPDFE and COPDNE. Metabolomic analysis revealed differences in lipid, energy, amino acid and immunity pathways. Spearman's correlation analysis demonstrated associations between metabolites and clinical indicators of acute exacerbation risk. ROC analysis demonstrated that the area under the curve (AUC) values for Dfructose 1,6bisphosphate (AUC=0.871), arginine (AUC=0.836), L2hydroxyglutarate (L2HG; AUC=0.849), diacylglycerol (DG) (160/205) (AUC=0.827), DG (160/204) (AUC=0.818) and carnitineC182 (AUC=0.804) were >0.8, highlighting their discriminative capacity between the two groups. External validation results demonstrated that DG (160/205), DG (160/204), carnitineC182 and L2HG were significantly different between patients with COPDFE and those with COPDNE. In conclusion, the present study offers insights into early identification, mechanistic understanding and personalized management of the COPDFE phenotype.
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Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Fenotipo
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Biomarcadores
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Enfermedad Pulmonar Obstructiva Crónica
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Metabolómica
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Mol Med Rep
Año:
2024
Tipo del documento:
Article