Multi-platform 'Omics Analysis of Human Ebola Virus Disease Pathogenesis.
Multi-platform 'Omics Analysis of Human Ebola Virus Disease Pathogenesis.
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DOI:
10.1016/j.chom.2017.10.011
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发表时间:
2017-12-13
影响因子:
30.3
通讯作者:
Kawaoka Y
中科院分区:
文献类型:
--
作者:
Eisfeld AJ;Halfmann PJ;Wendler JP;Kyle JE;Burnum-Johnson KE;Peralta Z;Maemura T;Walters KB;Watanabe T;Fukuyama S;Yamashita M;Jacobs JM;Kim YM;Casey CP;Stratton KG;Webb-Robertson BM;Gritsenko MA;Monroe ME;Weitz KK;Shukla AK;Tian M;Neumann G;Reed JL;van Bakel H;Metz TO;Smith RD;Waters KM;N'jai A;Sahr F;Kawaoka Y
The pathogenesis of Human Ebola virus disease (EVD) is complex. EVD is characterized by high levels of virus replication and dissemination, dysregulated immune responses, extensive virus- and host-mediated tissue damage, and disordered coagulation. To clarify how host responses contribute to EVD pathophysiology, we performed multi-platform ‘omics analysis of peripheral blood mononuclear cells and plasma from EVD patients. Our results indicate that EVD molecular signatures overlap with those of sepsis, imply that pancreatic enzymes contribute to tissue damage in fatal EVD, and suggest that EBOV infection may induce aberrant neutrophils whose activity could explain hallmarks of fatal EVD. Moreover, integrated biomarker prediction identified putative biomarkers from different data platforms that differentiated survivors and fatalities early after infection. This work reveals insight into EVD pathogenesis, suggests an effective approach for biomarker identification, and provides an important community resource for further analysis of human EVD severity. Eisfeld et al. comprehensively evaluated changes in host molecules in plasma and peripheral immune cells of Ebola virus disease (EVD) patients. Their results suggest new mechanisms of EVD pathogenesis and putative biomarkers for predicting EVD outcomes. Moreover, datasets associated with this work are an important community resource for further research.
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DOI:
10.1186/cc14003
发表时间:
2014-08-01
期刊:
Critical care (London, England)
影响因子:
--
作者:
Darcy CJ;Minigo G;Piera KA;Davis JS;McNeil YR;Chen Y;Volkheimer AD;Weinberg JB;Anstey NM;Woodberry T
通讯作者:
Woodberry T
影响因子:
4.4
作者:
Martinez, Fernando O.;Gordon, Siamon;Mantovani, Alberto
通讯作者:
Mantovani, Alberto
影响因子:
158.5
作者:
Schieffelin, J. S.;Shaffer, J. G.;Garry, R. F.
通讯作者:
Garry, R. F.
影响因子:
7.5
作者:
Lacroix, Romaric;Dignat-George, Francoise
通讯作者:
Dignat-George, Francoise
影响因子:
3.4
作者:
Maiolica, A;Borsotti, D;Rappsilber, J
通讯作者:
Rappsilber, J