Chronic Kidney Disease Clinical Trial
Official title:
Circulating Long Non-coding RNAs and Cardiovascular Morbidities in Chronic Kidney Disease and End-Stage Renal Disease
Cardiovascular disease is the major cause of morbidity and death in patients with chronic
kidney disease (CKD) and end-stage renal disease (ESRD). The mechanisms linking impaired
renal function and increased risk for cardiovascular diseases, however, remain elusive.
Long non-coding RNAs (lncRNAs) is a heterogeneous group of non-coding transcripts longer
than 200 nucleotides. While the roles of lncRNAs in human diseases including cancer and
neurodegenerative disorders are beginning to emerge, it remains unclear how lncRNA
regulation contributes to cardiovascular complications in patients with renal dysfunction.
In this proposal, the investigators seek to apply next-generation sequencing technology to
investigate circulating lncRNA expression in control subjects and in patients with CKD and
ESRD. The investigators will test the hypothesis that circulating lncRNA expression
signature can reflect the underlying kidney disease states in patients with CKD and ESRD. A
gene co-expression network analysis will be conducted to identify lncRNAs that are
functionally involved in the pathogenesis of CKD and ESRD. Next, the investigators will
identify circulating lncRNAs that are indicative of cardiovascular dysfunction in ESRD
patients. Finally, the investigators propose to test the hypothesis that circulating lncRNAs
can be novel prognostic biomarkers to predict cardiovascular outcomes and renal function
progression in CKD patients. The results from these experiments will lead to better
understanding of how circulating lncRNAs contribute to uremic cardiovascular complications
and renal function progression.
Cardiovascular disease is the major cause of morbidity and death in patients with chronic
kidney disease (CKD) and end-stage renal disease (ESRD). Patients with CKD and ESRD are at
high risk for myocardial dysfunction, ischemia and heart failure. The mechanisms linking
impaired renal function and increased risk for cardiovascular diseases, however, remain
elusive. In addition, conventional therapeutics proven effective in reducing cardiovascular
events in general population fail to provide similar benefits in uremic patients. There is a
clear need to identify novel mediators of cardiovascular complications in uremic patients to
provide insights into the pathogenesis, to tailor clinical care based on cardiovascular
risks, and to develop new therapeutic strategies.
It has become increasingly clear that the transcription of the eukaryotic genome is far more
pervasive and complex than previously appreciated. While the expression of messenger RNAs
(mRNAs) and microRNAs (miRNAs) account for only ~1% of all transcribed species, up to 90% of
the mammalian genome is transcribed as long non-coding RNAs (lncRNAs), a heterogeneous group
of non-coding transcripts longer than 200 nucleotides. LncRNAs have been shown to be
functional and involved in specific physiological and pathological processes through
epigenetic, transcriptional and post-transcriptional mechanisms. While the roles of lncRNAs
in human diseases including cancer and neurodegenerative disorders are beginning to emerge,
it remains unclear how lncRNA regulation contributes to cardiovascular complications in
patients with renal dysfunction.
In this proposal, we seek to apply next-generation sequencing technology to investigate
circulating (plasma and peripheral blood mononuclear cells [PBMC]) lncRNA expression in
control subjects and in patients with CKD and ESRD. We will test the hypothesis that
circulating lncRNA expression signature can reflect the underlying kidney disease states in
patients with CKD and ESRD. A gene co-expression network analysis will be conducted to
identify lncRNAs that are functionally involved in the pathogenesis of CKD and ESRD. Next,
we will identify circulating lncRNAs that are indicative of cardiovascular dysfunction in
ESRD patients. The hypothesis that circulating lncRNAs can be used to predict the
progression of myocardial dysfunction, the occurrence of adverse cardiovascular events and
death among patients with ESRD, will be tested. The sensitivity and specificity of using
circulating lncRNAs to predict cardiovascular function/outcomes in ESRD patients will be
tested prospectively in an independent ESRD population. Finally, we propose to test the
hypothesis that circulating lncRNAs can be novel prognostic biomarkers to predict
cardiovascular outcomes and renal function progression in CKD patients. The results from
these experiments will lead to better understanding of how circulating lncRNAs contribute to
uremic cardiovascular complications and renal function progression. These experiments will
also help to design better diagnostic and prognostic tools in CKD/ESRD patients, as well as
to develop novel therapeutic strategies to treat or prevent CKD progression and uremic
cardiovascular complications.
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