Research publications

Found 2 publicacions matching the indicated search criteria.
Manuel Castro de Moura, Veronica Davalos, Laura Planas-Serra, Damiana Alvarez-Errico, Carles Arribas, Montserrat Ruiz, Sergio Aguilera-Albesa, Jesus Troya, Juan Valencia-Ramos, Valentina Velez-Santamaria, Agustí Rodríguez-Palmero, Judit Villar-Garcia, Juan P. Horcajada, Sergiu Albu, Carlos Casasnovas, Anna Rull, Laia Reverte, Beatriz Dietl, David Dalmau, Maria J. Arranz, Laia Llucia-Carol, Anna M. Planas, Jordi Perez-Tur, Israel Fernandez-Cadenas, Paula Villares, Jair Tenorio, Roger Colobran, Andrea Martin-Nalda, Pere Soler-Palacin, Francesc Vidal, Aurora Pujol, Manel Esteller

Epigenome-wide association study of COVID-19 severity with respiratory failure

EBioMedicine 00 (2021) 103339 15 Apr 2021, .
BACKGROUND: Patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for the coronavirus disease 2019 (COVID-19), exhibit a wide spectrum of disease behaviour. Since DNA methylation has been implicated in the regulation of viral infections and the immune system, we performed an epigenome-wide association study (EWAS) to identify candidate loci regulated by this epigenetic mark that could be involved in the onset of COVID-19 in patients without comorbidities. METHODS: Peripheral blood samples were obtained from 407 confirmed COVID-19 patients ≤ 61 years of age and without comorbidities, 194 (47.7%) of whom had mild symptomatology that did not involve hospitalization and 213 (52.3%) had a severe clinical course that required respiratory support. The set of cases was divided into discovery (n = 207) and validation (n = 200) cohorts, balanced for age and sex of individuals. We analysed the DNA methylation status of 850,000 CpG sites in these patients. FINDINGS: The DNA methylation status of 44 CpG sites was associated with the clinical severity of COVID-19. Of these loci, 23 (52.3%) were located in 20 annotated coding genes. These genes, such as the inflammasome component Absent in Melanoma 2 (AIM2) and the Major Histocompatibility Complex, class I C (HLA-C) candidates, were mainly involved in the response of interferon to viral infection. We used the EWAS-identified sites to establish a DNA methylation signature (EPICOVID) that is associated with the severity of the disease. INTERPRETATION: We identified DNA methylation sites as epigenetic susceptibility loci for respiratory failure in COVID-19 patients. These candidate biomarkers, combined with other clinical, cellular and genetic factors, could be useful in the clinical stratification and management of patients infected with the SARS-CoV-2. FUNDING: The Unstoppable campaign of the Josep Carreras Leukaemia Foundation, the Cellex Foundation and the CERCA Programme/Generalitat de Catalunya.
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Joshi R, Castro De Moura M, Piñeyro D, Alvarez-Errico D, Arribas C, Esteller M

The DNA methylation landscape of human cancer organoids available at the American type culture collection.

Epigenetics 12 May 2020, 1-11. Epub 12 May 2020
One caveat in cancer research is the dependence of certain experimental systems that might not really reflect the properties of the primary tumours. The recent irruption of 3D cultured cells termed organoids could render a better representation of the original tumour sample. However, every laboratory has its own protocol and tissue-provider to establish these cancer models, preventing further dissemination and validation of the obtained data. To address this problem, the Human Cancer Models Initiative (HCMI) has selected the American Type Culture Collection (ATCC) to make available organoid models to the scientific community. In this regard, no epigenetic information is available for these samples and, overall, the DNA methylation profiles of human cancer organoids are largely unknown. Herein, we provide the DNA methylation landscape of 25 human cancer organoids available at the ATCC using a microarray that interrogates more than 850,000 CpG sites. We observed that the studied organoids retain the epigenetic setting of their original primary cancer type; that exhibit a DNA methylation landscape characteristic of transformed tissues excluding an overgrowth of normal-matched cells; and that are closer to the DNA methylation profiles of the corresponding primary tumours than to established 2D cell lines. Most importantly, the obtained DNA methylation results are freely available to everyone for further data mining. Thus, our findings support from the epigenetic standpoint that the ATCC human cancer organoids recapitulate many of the features of the disorder in the patient and are excellent tools to be shared among investigators for further tumour biology research.
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