Plasticity and Regeneration of Renal Epithelial Cells

June 28, 2016 updated by: National Taiwan University Hospital
The incidence of acute kidney injury (AKI) among all hospitalized patients is approximately 7%. Among these patients, sepsis and septic shock remain the most important cause of acute renal failure (ARF) and account for more than 50% of cases of AKI. The goal of this project is to uncover key factors that lead to renal function recovery. This study is planned to survey novel biomarkers that reflect tissue pathology or regeneration. During the hospitalization, blood and urine sample will be collected for NGAL and inflammatory marker analysis in the patients with bacteremia, while the rest sample will be collected for further novel biomarker survey. This study is to early predict the renal function impairment and identify the possible molecule that involved in renal function recovery.

Study Overview

Status

Unknown

Conditions

Detailed Description

Recovery of renal function after acute renal injury is an important clinical determinant of patient morbidity and mortality. However, studies covering this field are scarce and nonhomogeneous. The "gold standard" for monitoring kidney function is to measure "true" glomerular filtration rate (GFR) by 24 h urine isotope collections. Serum creatinine is a practical surrogate for GFR in the daily caring of the patients. Unfortunately, use of serum creatinine is limited by several patient dependent and independent factors. Also, serum creatinine concentration may fall to one-third of normal in advanced CKD secondary to its extrarenal clearance. The accuracy of serum creatinine in determining kidney function can be improved by serial measurements of serum creatinine, assessment of the reciprocal slope of the serum creatinine, or serial measurements of 24 h creatinine clearances. However, it is difficult to decide residual renal function in AKI patients requiring renal replacement therapy. Furthermore, even when the changes of kidney function is linear, there is a poor relationship between [Cr]-1 and the rate of rate function recovery, as demonstrated by direct comparison with urine isotope clearances. Moreover, even 24 h creatinine clearances yield poor estimates of renal function recovery.

Severe sepsis is the leading cause of acute kidney injury, although there is little mechanism of the pathogenesis of this subset of AKI in humans. Animal models have since directed attention to other lesions, such as apoptosis, leukocytic infiltration and thrombus formation. Kidney biopsy from post-mortem patients who died of septic shock showed the involvement of intense capillary leukocytic infiltration, apoptosis, and rare thrombi. Apoptosis and leukocytic infiltration, predominantly mononuclear, seem likely to be of major importance. Furthermore, the acute tubular lesions were correlated with the arterial lactate concentration. Thus, this indicated that the kidney lesions are integral to the severity of multiple organ failure.

Lipopolysaccharide (LPS), a cell wall component of gram-negative bacteria, is known to exert its toxic effects through the activation of the complement system or monocytes-macrophages and releases of the secondary mediators like cytokines, chemokines, and arachidonic acid derivatives, but recent reports suggest that LPS may exert a direct toxicity on renal cells.LPS is a potential drug target since its presence is critical in membrane stability, and also it plays a prominent role in raising an immune response. LPS triggers the release of many inflammatory cytokines, in particular, TNFα, interleukin-1β and IL-6, and it has been implicated as the etiological agent of a variety of pathologies ranging from mild (fever) to lethal (septic shock, organ failure, and death).

Biomarkers are biological parameters that can be objectively measured and evaluated, which act as indicators of normal or pathological processes, or of the response to intervention. The sensitivity, specificity and time course of a biomarker are critical factors in determining the utility of a particular biomarker in a disease process. A surrogate outcome biomarker is one which faithfully tracts a disease including early prediction of renal function impairment, the response to therapy, and renal function recovery.

Study Type

Observational

Enrollment (Anticipated)

400

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Taipei, Taiwan
        • National Taiwan University Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

20 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients aged 20 years or older with a diagnosis of bacteremia will be eligible for inclusion in the study.

Description

Inclusion criteria:

  1. Newly diagnosed bacteremia with sepsis patients
  2. Age more than 20 years old
  3. Sign the Permit

Exclusion Criteria

  1. Predicted not survival longer than 72 hours
  2. Pregnant woman

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Bacteremia with Sepsis group
Patients aged 20 years or older with a diagnosis of bacteremia will be eligible for inclusion in the study.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change from Baseline NGAL and KIM-1 at 48-96 hours
Time Frame: Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Early kidney injury marker using ELISA
Two time point: diagnosed day 1 and 48-96 hours after diagnosed day

Secondary Outcome Measures

Outcome Measure
Time Frame
Clinical inflammatory markers, including white cell count and CRP
Time Frame: Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
BUN/Creatinine
Time Frame: Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
SOFA and qSOFA score
Time Frame: Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Novel proteomics markers (Confidential)
Time Frame: Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Novel SNP markers (Confidential)
Time Frame: Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Novel RNA markers (Confidential)
Time Frame: Two time point: diagnosed day 1 and 48-96 hours after diagnosed day
Two time point: diagnosed day 1 and 48-96 hours after diagnosed day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: YU-FENG LIN, MD, National Taiwan University Hospital

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

July 1, 2016

Primary Completion (Anticipated)

December 1, 2019

Study Completion (Anticipated)

December 1, 2019

Study Registration Dates

First Submitted

June 21, 2016

First Submitted That Met QC Criteria

June 28, 2016

First Posted (Estimate)

June 30, 2016

Study Record Updates

Last Update Posted (Estimate)

June 30, 2016

Last Update Submitted That Met QC Criteria

June 28, 2016

Last Verified

June 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • 201605050RIND

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Sepsis

3
Subscribe