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Circulating Immune Response to Ebola...
~
Speranza, Emily Elizabeth.
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Circulating Immune Response to Ebola Virus Disease in Humans and Non-human Primates.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Circulating Immune Response to Ebola Virus Disease in Humans and Non-human Primates./
作者:
Speranza, Emily Elizabeth.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
250 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Contained By:
Dissertations Abstracts International80-06B.
標題:
Microbiology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10687414
ISBN:
9780438696266
Circulating Immune Response to Ebola Virus Disease in Humans and Non-human Primates.
Speranza, Emily Elizabeth.
Circulating Immune Response to Ebola Virus Disease in Humans and Non-human Primates.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 250 p.
Source: Dissertations Abstracts International, Volume: 80-06, Section: B.
Thesis (Ph.D.)--Boston University, 2018.
This item is not available from ProQuest Dissertations & Theses.
Ebola viruses cause sever disease in humans and non-human primates. The resulting disease, Ebola virus disease (EVD), can have hemorrhagic manifestations and has mortality rates ranging from 20-90%. There is a strong need for better understanding of the disease as well as improved diagnostics and prognostics. One approach to improving diagnostic and prognostics for severe viral diseases such as EVD is to define how the host response to infection develops and produces indicators of disease and outcome. To create a better means to understand if a patient is likely to survive or succumb to Ebola (EBOV) infection, I have sought to develop an understanding of the host response to EBOV infection in humans from the recent outbreak. I analyzed RNA-Seq samples from the 2013-2016 West Africa outbreak. I identified that the innate immune pathways are in general over activated in EVD and is stronger in patients who succumbed to disease. Furthermore, I developed a set of 10 genes that can perform as a prognostic indicator of disease independent of the viral load. This is the first demonstration that the circulating transcriptional immune response to EBOV infection can be used to predict infection outcome. To work towards a diagnostic platform of disease, I analyzed multiple studies of time-resolved datasets in animal models of disease. I analyzed RNA-Seq and NanoString data coupled with telemetry data in EBOV-challenged macaques. The earliest and strongest changes seen in the pre-symptomatic stage of disease is the up-regulation of many innate immune genes. I used this information to develop a NanoString codeset that can act as a pre-symptomatic indicator of disease that was tested in further animal studies as a diagnostic in pre-symptomatic stages of disease. Together, this work has identified a sets of genes that can work as a diagnostic for pre-symptomatic patients of EBOV and act as a prognostic indicators of disease. In future outbreaks, this type of information will be important to help track primary contacts of infected individuals and first responders, as well as better inform clinical management of patients. This lays the groundwork for similar analysis to be performed on other severe viral diseases such as Lassa Fever and Marburg Fever.
ISBN: 9780438696266Subjects--Topical Terms:
536250
Microbiology.
Subjects--Index Terms:
Diagnostic
Circulating Immune Response to Ebola Virus Disease in Humans and Non-human Primates.
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Ebola viruses cause sever disease in humans and non-human primates. The resulting disease, Ebola virus disease (EVD), can have hemorrhagic manifestations and has mortality rates ranging from 20-90%. There is a strong need for better understanding of the disease as well as improved diagnostics and prognostics. One approach to improving diagnostic and prognostics for severe viral diseases such as EVD is to define how the host response to infection develops and produces indicators of disease and outcome. To create a better means to understand if a patient is likely to survive or succumb to Ebola (EBOV) infection, I have sought to develop an understanding of the host response to EBOV infection in humans from the recent outbreak. I analyzed RNA-Seq samples from the 2013-2016 West Africa outbreak. I identified that the innate immune pathways are in general over activated in EVD and is stronger in patients who succumbed to disease. Furthermore, I developed a set of 10 genes that can perform as a prognostic indicator of disease independent of the viral load. This is the first demonstration that the circulating transcriptional immune response to EBOV infection can be used to predict infection outcome. To work towards a diagnostic platform of disease, I analyzed multiple studies of time-resolved datasets in animal models of disease. I analyzed RNA-Seq and NanoString data coupled with telemetry data in EBOV-challenged macaques. The earliest and strongest changes seen in the pre-symptomatic stage of disease is the up-regulation of many innate immune genes. I used this information to develop a NanoString codeset that can act as a pre-symptomatic indicator of disease that was tested in further animal studies as a diagnostic in pre-symptomatic stages of disease. Together, this work has identified a sets of genes that can work as a diagnostic for pre-symptomatic patients of EBOV and act as a prognostic indicators of disease. In future outbreaks, this type of information will be important to help track primary contacts of infected individuals and first responders, as well as better inform clinical management of patients. This lays the groundwork for similar analysis to be performed on other severe viral diseases such as Lassa Fever and Marburg Fever.
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