DNA methylation predicts the outcome of COVID-19 patients with acute respiratory distress syndrome

被引:7
作者
Bradic, Martina [1 ,2 ]
Taleb, Sarah [3 ]
Thomas, Binitha [4 ]
Chidiac, Omar [4 ]
Robay, Amal [4 ]
Hassan, Nessiya [6 ]
Malek, Joel [7 ]
Ait Hssain, Ali [5 ]
Abi Khalil, Charbel [1 ,4 ,8 ]
机构
[1] Weill Cornell Med, Dept Genet Med, New York, NY USA
[2] Mem Sloan Kettering Canc Ctr, MarieJosee & Henry R Kravis Ctr Mol Oncol, New York, NY USA
[3] HBKU, Coll Hlth & Life Sci, Div Gen & Translat BioMed, Doha, Doha, Qatar
[4] Weill Cornell Med, Epignt Cardiovascular Lab, Doha, Doha, Qatar
[5] Hamad Med Corporat, Med Intens Care Unit, Doha, Doha, Qatar
[6] Hamad Med Corporat, Nursery & Midwifery Res Dept, Doha, Doha, Qatar
[7] Weill Cornell Med, Gen Core, Doha, Doha, Qatar
[8] Weill Cornell Med, Weill Dept Med, Joan & Sanford 1, New York, NY USA
关键词
COVID-19; ARDS; DNA methylation; Epigenetics; Mortality; Survival; Biomarkers; EPIGENETICS; APOPTOSIS; CANCER; SITES;
D O I
10.1186/s12967-022-03737-5
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background COVID-19 infections could be complicated by acute respiratory distress syndrome (ARDS), increasing mortality risk. We sought to assess the methylome of peripheral blood mononuclear cells in COVID-19 with ARDS. Methods We recruited 100 COVID-19 patients with ARDS under mechanical ventilation and 33 non-COVID-19 controls between April and July 2020. COVID-19 patients were followed at four time points for 60 days. DNA methylation and immune cell populations were measured at each time point. A multivariate cox proportional risk regression analysis was conducted to identify predictive signatures according to survival. Results The comparison of COVID-19 to controls at inclusion revealed the presence of a 14.4% difference in promoter-associated CpGs in genes that control immune-related pathways such as interferon-gamma and interferon-alpha responses. On day 60, 24% of patients died. The inter-comparison of baseline DNA methylation to the last recorded time point in both COVID-19 groups or the intra-comparison between inclusion and the end of follow-up in every group showed that most changes occurred as the disease progressed, mainly in the AIM gene, which is associated with an intensified immune response in those who recovered. The multivariate Cox proportional risk regression analysis showed that higher methylation of the "Apoptotic execution Pathway" genes (ROC1, ZNF789, and H1F0) at inclusion increases mortality risk by over twofold. Conclusion We observed an epigenetic signature of immune-related genes in COVID-19 patients with ARDS. Further, Hypermethylation of the apoptotic execution pathway genes predicts the outcome. Trial registration: IMRPOVIE study, NCT04473131.
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页数:18
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共 69 条
  • [1] Abi Khalil C., 2021, Medical Epigenetics, P197
  • [2] Patients with COVID-19: in the dark-NETs of neutrophils
    Ackermann, Maximilian
    Anders, Hans-Joachim
    Bilyy, Rostyslav
    Bowlin, Gary L.
    Daniel, Christoph
    De Lorenzo, Rebecca
    Egeblad, Mikala
    Henneck, Timo
    Hidalgo, Andres
    Hoffmann, Markus
    Hohberger, Bettina
    Kanthi, Yogendra
    Kaplan, Mariana J.
    Knight, Jason S.
    Knopf, Jasmin
    Kolaczkowska, Elzbieta
    Kubes, Paul
    Leppkes, Moritz
    Mahajan, Aparna
    Manfredi, Angelo A.
    Maueroeder, Christian
    Maugeri, Norma
    Mitroulis, Ioannis
    Munoz, Luis E.
    Narasaraju, Teluguakula
    Naschberger, Elisabeth
    Neeli, Indira
    Ng, Lai Guan
    Radic, Marko Z.
    Ritis, Konstantinos
    Rovere-Querini, Patrizia
    Schapher, Mirco
    Schauer, Christine
    Simon, Hans-Uwe
    Singh, Jeeshan
    Skendros, Panagiotis
    Stark, Konstantin
    Stuerzl, Michael
    van der Vlag, Johan
    Vandenabeele, Peter
    Vitkov, Ljubomir
    von Koeckritz-Blickwede, Maren
    Yanginlar, Cansu
    Yousefi, Shida
    Zarbock, Alexander
    Schett, Georg
    Herrmann, Martin
    [J]. CELL DEATH AND DIFFERENTIATION, 2021, 28 (11) : 3125 - 3139
  • [3] Consistent inverse correlation between DNA methylation of the first intron and gene expression across tissues and species
    Anastasiadi, Dafni
    Esteve-Codina, Anna
    Piferrer, Francesc
    [J]. EPIGENETICS & CHROMATIN, 2018, 11
  • [4] Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays
    Aryee, Martin J.
    Jaffe, Andrew E.
    Corrada-Bravo, Hector
    Ladd-Acosta, Christine
    Feinberg, Andrew P.
    Hansen, Kasper D.
    Irizarry, Rafael A.
    [J]. BIOINFORMATICS, 2014, 30 (10) : 1363 - 1369
  • [5] Blood DNA methylation and COVID-19 outcomes
    Balnis, Joseph
    Madrid, Andy
    Hogan, Kirk J.
    Drake, Lisa A.
    Chieng, Hau C.
    Tiwari, Anupama
    Vincent, Catherine E.
    Chopra, Amit
    Vincent, Peter A.
    Robek, Michael D.
    Singer, Harold A.
    Alisch, Reid S.
    Jaitovich, Ariel
    [J]. CLINICAL EPIGENETICS, 2021, 13 (01)
  • [6] Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying
    Banoei, Mohammad M.
    Dinparastisaleh, Roshan
    Zadeh, Ali Vaeli
    Mirsaeidi, Mehdi
    [J]. CRITICAL CARE, 2021, 25 (01)
  • [7] Autoantibodies against type I IFNs in patients with life-threatening COVID-19
    Bastard, Paul
    Rosen, Lindsey B.
    Zhang, Qian
    Michailidis, Eleftherios
    Hoffmann, Hans-Heinrich
    Zhang, Yu
    Dorgham, Karim
    Philippot, Quentin
    Rosain, Jeremie
    Beziat, Vivien
    Manry, Jeremy
    Shaw, Elana
    Haljasmagi, Liis
    Peterson, Part
    Lorenzo, Lazaro
    Bizien, Lucy
    Trouillet-Assant, Sophie
    Dobbs, Kerry
    de Jesus, Adriana Almeida
    Belot, Alexandre
    Kallaste, Anne
    Catherinot, Emilie
    Tandjaoui-Lambiotte, Yacine
    Le Pen, Jeremie
    Kerner, Gaspard
    Bigio, Benedetta
    Seeleuthner, Yoann
    Yang, Rui
    Bolze, Alexandre
    Spaan, Andras N.
    Delmonte, Ottavia M.
    Abers, Michael S.
    Aiuti, Alessandro
    Casari, Giorgio
    Lampasona, Vito
    Piemonti, Lorenzo
    Ciceri, Fabio
    Bilguvar, Kaya
    Lifton, Richard P.
    Vasse, Marc
    Smadja, David M.
    Migaud, Melanie
    Hadjadj, Jerome
    Terrier, Benjamin
    Duffy, Darragh
    Quintana-Murci, Lluis
    van de Beek, Diederik
    Roussel, Lucie
    Vinh, Donald C.
    Tangye, Stuart G.
    [J]. SCIENCE, 2020, 370 (6515) : 423 - +
  • [8] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING
    BENJAMINI, Y
    HOCHBERG, Y
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) : 289 - 300
  • [9] Covid-19 in Critically Ill Patients in the Seattle Region - Case Series
    Bhatraju, Pavan K.
    Ghassemieh, Bijan J.
    Nichols, Michelle
    Kim, Richard
    Jerome, Keith R.
    Nalla, Arun K.
    Greninger, Alexander L.
    Pipavath, Sudhakar
    Wurfel, Mark M.
    Evans, Laura
    Kritek, Patricia A.
    West, T. Eoin
    Luks, Andrew
    Gerbino, Anthony
    Dale, Chris R.
    Goldman, Jason D.
    O'Mahony, Shane
    Mikacenic, Carmen
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2020, 382 (21) : 2012 - 2022
  • [10] Blighe K L-SJ, 2021, REGPARALLEL STANDARD