DNA methylation profiles in pneumonia patients reflect changes in cell types and pneumonia severity
| Autor: | Marco Morselli, Colin Farrell, Dennis Montoya, Tarık Gören, Ramazan Sabırlı, İbrahim Türkçüer, Özgür Kurt, Aylin Köseler, Matteo Pellegrini |
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| Rok vydání: | 2022 |
| Předmět: |
haplotype
leukocyte count systolic blood pressure Cancer Research genetic association polymerase chain reaction Medical Biochemistry and Metabolomics computer assisted tomography T lymphocyte Severe acute respiratory syndrome coronavirus 2 2.1 Biological and endogenous factors genetics CD8+ T lymphocyte Aetiology DNA extraction Lung thorax radiography fever screening and diagnosis C reactive protein DNA methylation adult Brief Report blood pressure neutrophil biological marker cohort analysis aged Detection female Infectious Diseases risk factor D dimer Pneumonia & Influenza disease severity Pneumonia Severity Index Infection hospitalization area under the curve thymocyte antibody Article high throughput sequencing respiratory tract disease male Genetics Humans pneumonia human Molecular Biology targeted bisulfite sequencing CD4+ T lymphocyte epigenetics SARS-CoV-2 ferritin Human Genome diastolic blood pressure community acquired pneumonia COVID-19 biomarkers Pneumonia DNA Methylation major clinical study cell composition cell-type deconvolution 4.1 Discovery and preclinical testing of markers and technologies Emerging Infectious Diseases Good Health and Well Being gene expression bisulfite sequencing microarray analysis Biochemistry and Cell Biology blood cell count chronic obstructive lung disease Biomarkers Developmental Biology |
| Zdroj: | Epigenetics, vol 17, iss 12 Epigenetics |
| Popis: | Immune cell-type composition changes with age, potentially weakening the response to infectious diseases. Profiling epigenetics marks of immune cells can help us understand the relationship with disease severity. We therefore leveraged a targeted DNA methylation method to study the differences in a cohort of pneumonia patients (both COVID-19 positive and negative) and unaffected individuals from peripheral blood. This approach allowed us to predict the pneumonia diagnosis with high accuracy (AUC = 0.92), and the PCR positivity to the SARS-CoV-2 viral genome with moderate, albeit lower, accuracy (AUC = 0.77). We were also able to predict the severity of pneumonia (PORT score) with an R2 = 0.69. By estimating immune cellular frequency from DNA methylation data, patients under the age of 65 positive to the SARS-CoV-2 genome (as revealed by PCR) showed an increase in T cells, and specifically in CD8+ cells, compared to the negative control group. Conversely, we observed a decreased frequency of neutrophils in the positive compared to the negative group. No significant difference was found in patients over the age of 65. The results suggest that this DNA methylation-based approach can be used as a cost-effective and clinically useful biomarker platform for predicting pneumonias and their severity. © 2022 Informa UK Limited, trading as Taylor & Francis Group. |
| Databáze: | OpenAIRE |
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