Evaluation of MiSeq for Microbial Identification in Specimens

Background:

Researchers are testing a new way to find out what causes infections in people in hospitals.

Current techniques use chemical or biological tests on a person s samples. Samples are blood, tissue, stool, saliva, urine, etc. Researchers are testing new techniques that use a device called MiSeq. It can sequence all of the DNA (genetic material) in a sample. This may show microorganisms, such as bacteria, fungi, and viruses that cause infection. Researchers want to know if the new test works as well or better than current tests. They will do this by looking at about 250 samples.

Objective:

To test if MiSeq works as well as or better than current tests to identify microorganisms that cause infection.

Eligibility:

NIH patients whose samples have been sent to the Microbiology Service s lab for routine microbiologic testing.

Design:

Participants will consent to have samples they gave as part of their routine medical care used in the study. For those under age 18, a parent or legal guardian will consent.

Study Overview

Status

Completed

Detailed Description

The purpose of this study is to evaluate and optimize testing that uses a next-generation DNA sequencing instrument, Illumina MiSeq, along with the associated computer infrastructure and bioinformatics software required for sequence analysis. This system is ultimately intended for use by the NIH Clinical Center Department of Laboratory Medicine to identify infectious agents in primary patient specimens. Next generation sequencing techniques based on sequencing of total DNA from primary specimens are expected to have many advantages over classical microbiological approaches. These include the detection of pathogens directly from primary specimens that may be difficult or impossible to culture.

In this study, discarded patient samples and autopsy material will be tested with the MiSeq system to identify and classify bacteria, viruses, and other pathogens. For the purpose of this study, the term samples will refer to any sample such as swabs, tissue biopsies, blood, feces, saliva, urine, wound, etc. The investigators analyzing the sequencing results will be blinded to the microbiology culture results for a validation subset of specimens to be tested with the MiSeq system. The results of the MiSeq analysis will be converted into a form that can be compared with the Microbiology Services official culture results that are stored in the laboratory information system (software from SCC SOFT Computer [Clearwater, FL, USA]).

Study Type

Observational

Enrollment (Actual)

65

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

    • Maryland
      • Bethesda, Maryland, United States, 20892
        • National Institutes of Health Clinical Center

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

2 years and older (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Clinical Center patients@@@@@@

Description

  • INCLUSION CRITERIA

    1. Discarded specimens will be used for this study.
    2. Patients from whom the specimens are derived are required to be consented.

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

  • Observational Models: Other
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Sample
Discarded patient samples and autopsy material

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Evaluate and optimize testing that uses a next-generation DNA sequencing instrument, Illumina MiSeq, along with the associated computer infrastructure and bioinformatics software required to sequence analysis
Time Frame: At study completion
Evaluate and optimize testing that uses a next generation DNA sequencing instrument, Illumina MiSeq, along with the associated computer infrastructure and bioinformatics software required to sequence analysis
At study completion

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Adrian M Zelazny, Ph.D., National Institutes of Health Clinical Center (CC)

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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 (Actual)

November 12, 2015

Primary Completion (Actual)

September 30, 2019

Study Completion (Actual)

September 30, 2019

Study Registration Dates

First Submitted

October 15, 2015

First Submitted That Met QC Criteria

October 15, 2015

First Posted (Estimated)

October 19, 2015

Study Record Updates

Last Update Posted (Actual)

April 11, 2025

Last Update Submitted That Met QC Criteria

April 10, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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.

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