THESIS
2019
ix leaves, 60 pages : color illustrations ; 30 cm
Abstract
Sepsis is one of the major causes of in-hospital mortality. There is no specific treatment for
sepsis and the management relies on early diagnosis and in-time prognosis. However, presently
there still lack accurate methods to detect infection and organ dysfunction, two major factors define
sepsis. Cell-free nucleic acids are emerging as biomarkers for many diseases and other
physiological processes. Since it’s relatively noninvasive and samples can be collected repeatedly,
the cell-free nucleic acids biomarker is preferred in many applications. Here, we evaluated the
potential of using plasma cell-free DNA (cfDNA) as a tool for assessment of patients in intensive
care unit (ICU). We find that the concentration of cfDNA, the Bacteria species composition and
the abundance of certa...[
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Sepsis is one of the major causes of in-hospital mortality. There is no specific treatment for
sepsis and the management relies on early diagnosis and in-time prognosis. However, presently
there still lack accurate methods to detect infection and organ dysfunction, two major factors define
sepsis. Cell-free nucleic acids are emerging as biomarkers for many diseases and other
physiological processes. Since it’s relatively noninvasive and samples can be collected repeatedly,
the cell-free nucleic acids biomarker is preferred in many applications. Here, we evaluated the
potential of using plasma cell-free DNA (cfDNA) as a tool for assessment of patients in intensive
care unit (ICU). We find that the concentration of cfDNA, the Bacteria species composition and
the abundance of certain Bacteria species profiled by cell-free DNA are correlated with present
diagnosis parameters of sepsis and are also correlated with clinical outcomes of patients in ICU.
Furthermore, we develop a new strategy to remove host genome fragments from cell-free DNA
sequencing library, as well as a new method to better profile highly fragmented and low-concentrated
cell-free RNA for next-generation sequencing. These new methods can be more
powerful for assessment of patients in ICU.
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