Rotondo JC, Aquila G, Oton-Gonzalez L, Selvatici R, Rizzo P, De Mattei M, Pavasini R, Tognon M, Campo GC, Martini F. Methylation of SERPINA1 gene promoter may predict chronic obstructive pulmonary disease in patients affected by acute coronary syndrome.
Clin Epigenetics 2021;
13:79. [PMID:
33858475 PMCID:
PMC8048251 DOI:
10.1186/s13148-021-01066-w]
[Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 04/03/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND
Diagnostic biomarkers for detecting chronic obstructive pulmonary disease (COPD) in acute coronary syndrome (ACS) patients are not available. SERPINA1, coding for the most potent circulating anti-inflammatory protein in the lung, has been found to be differentially methylated in blood cells from COPD patients. This study aimed to investigate the methylation profile of SERPINA1 in blood cells from ACS patients, with (COPD+) or without COPD (COPD-).
METHODS
Blood samples were from 115 ACS patients, including 30 COPD+ and 85 COPD- according to lung function phenotype, obtained with spirometry. DNA treated with sodium bisulfite was PCR-amplified at SERPINA1 promoter region. Methylation analysis was carried out by sequencing the PCR products. Lymphocytes count in ACS patients was recorded at hospital admission and discharge.
RESULTS
SERPINA1 was hypermethylated in 24/30 (80%) COPD+ and 48/85 (56.5%) COPD- (p < 0.05). Interestingly, at hospital discharge, lymphocytes count was higher in COPD- patients carrying SERPINA1 hypermethylated (1.98 × 103 ± 0.6 cell/µl) than in COPD- carrying SERPINA1 hypomethylated (1.7 × 103 ± 0.48 cell/µl) (p < 0.05).
CONCLUSIONS
SERPINA1 is hypermethylated in blood cells from COPD+ patients. COPD- carrying SERPINA1 hypermethylated and high lymphocytes count may be at risk of COPD development. Therefore, SERPINA1 hypermethylation may represent a potential biomarker for predicting COPD development in ACS patients.
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