Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence.
Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence.
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DOI:
10.1038/s41467-022-35454-4
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发表时间:
2022-12-15
影响因子:
16.6
通讯作者:
Peters, James E.
中科院分区:
文献类型:
--
作者:
Gisby, Jack S.;Buang, Norzawani B.;Papadaki, Artemis;Clarke, Candice L.;Malik, Talat H.;Medjeral-Thomas, Nicholas;Pinheiro, Damiola;Mortimer, Paige M.;Lewis, Shanice;Sandhu, Eleanor;McAdoo, Stephen P.;Prendecki, Maria F.;Willicombe, Michelle;Pickering, Matthew C.;Botto, Marina;Thomas, David C.;Peters, James E.
Patients with end-stage kidney disease (ESKD) are at high risk of severe COVID-19. Here, we perform longitudinal blood sampling of ESKD haemodialysis patients with COVID-19, collecting samples pre-infection, serially during infection, and after clinical recovery. Using plasma proteomics, and RNA-sequencing and flow cytometry of immune cells, we identify transcriptomic and proteomic signatures of COVID-19 severity, and find distinct temporal molecular profiles in patients with severe disease. Supervised learning reveals that the plasma proteome is a superior indicator of clinical severity than the PBMC transcriptome. We show that a decreasing trajectory of plasma LRRC15, a proposed co-receptor for SARS-CoV-2, is associated with a more severe clinical course. We observe that two months after the acute infection, patients still display dysregulated gene expression related to vascular, platelet and coagulation pathways, including PF4 (platelet factor 4), which may explain the prolonged thrombotic risk following COVID-19. End-stage kidney disease confers a high risk for severe COVID-19 infection. Using an at-risk group (end-stage kidney disease patients with COVID-19), authors using RNA-sequencing of immune cells and plasma proteomic profiling to investigate the host response to viral infection.
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影响因子:
16.6
作者:
Buang N;Tapeng L;Gray V;Sardini A;Whilding C;Lightstone L;Cairns TD;Pickering MC;Behmoaras J;Ling GS;Botto M
通讯作者:
Botto M
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
64.5
作者:
COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium. Electronic address: julian.knight@well.ox.ac.uk;COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium
通讯作者:
COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium
DOI:
10.1126/science.abd4585
发表时间:
2020-10-23
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Bastard P;Rosen LB;Zhang Q;Michailidis E;Hoffmann HH;Zhang Y;Dorgham K;Philippot Q;Rosain J;Béziat V;Manry J;Shaw E;Haljasmägi L;Peterson P;Lorenzo L;Bizien L;Trouillet-Assant S;Dobbs K;de Jesus AA;Belot A;Kallaste A;Catherinot E;Tandjaoui-Lambiotte Y;Le Pen J;Kerner G;Bigio B;Seeleuthner Y;Yang R;Bolze A;Spaan AN;Delmonte OM;Abers MS;Aiuti A;Casari G;Lampasona V;Piemonti L;Ciceri F;Bilguvar K;Lifton RP;Vasse M;Smadja DM;Migaud M;Hadjadj J;Terrier B;Duffy D;Quintana-Murci L;van de Beek D;Roussel L;Vinh DC;Tangye SG;Haerynck F;Dalmau D;Martinez-Picado J;Brodin P;Nussenzweig MC;Boisson-Dupuis S;Rodríguez-Gallego C;Vogt G;Mogensen TH;Oler AJ;Gu J;Burbelo PD;Cohen JI;Biondi A;Bettini LR;D'Angio M;Bonfanti P;Rossignol P;Mayaux J;Rieux-Laucat F;Husebye ES;Fusco F;Ursini MV;Imberti L;Sottini A;Paghera S;Quiros-Roldan E;Rossi C;Castagnoli R;Montagna D;Licari A;Marseglia GL;Duval X;Ghosn J;HGID Lab;NIAID-USUHS Immune Response to COVID Group;COVID Clinicians;COVID-STORM Clinicians;Imagine COVID Group;French COVID Cohort Study Group;Milieu Intérieur Consortium;CoV-Contact Cohort;Amsterdam UMC Covid-19 Biobank;COVID Human Genetic Effort;Tsang JS;Goldbach-Mansky R;Kisand K;Lionakis MS;Puel A;Zhang SY;Holland SM;Gorochov G;Jouanguy E;Rice CM;Cobat A;Notarangelo LD;Abel L;Su HC;Casanova JL
通讯作者:
Casanova JL
DOI:
10.1056/nejmoa2104840
发表时间:
2021-06-03
期刊:
The New England journal of medicine
影响因子:
--
作者:
Greinacher A;Thiele T;Warkentin TE;Weisser K;Kyrle PA;Eichinger S
通讯作者:
Eichinger S