LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Single Rapid Test Detects Known and Unknown Pathogens

By LabMedica International staff writers
Posted on 10 Nov 2014
Print article
Image: Loading a fluorescently-labeled viral DNA sample onto the Microbial Detection Array (Photo courtesy of Lawrence Livermore National Laboratory).
Image: Loading a fluorescently-labeled viral DNA sample onto the Microbial Detection Array (Photo courtesy of Lawrence Livermore National Laboratory).
Diagnostic technology developed for rapid detection of pathogens in the wounds of soldiers has been licensed to a private company that intends to use it to create new medical laboratory tests.

The Lawrence Livermore Microbial Detection Array (LLMDA) is designed to improve on two pathogen identification techniques: Polymerase chain reaction (PCR) analysis and DNA sequencing. PCR diagnostic techniques can process no more than 50 DNA signatures at one time and the likelihood of discovering new species are low with PCR. The new technology is capable of identifying thousands of bacteria and viruses in a single test.

Scientists at the Lawrence Livermore National Laboratory (LLNL; Livermore, CA, USA) developed the LLMDA. The process begins by purifying DNA or ribonucleic acid (RNA) from a blood or stool sample. The purified DNA or RNA is labeled with a fluorescent dye, and then pipetted onto the microarray which sits on top of an incubator heated to 42 °C. The microarray contains nearly 400,000 probes arranged in a checkerboard pattern on a 2.5 × 7.5-cm glass slide. Scientists examine these probes with a fluorescent scanner and analysis software. The microarray’s checkerboard has several dozen squares for each of the thousands of organisms sequenced to date. That allows it to simultaneously examine multiple regions from each organism.

From a study that evaluated 124 wound samples from 44 soldiers injured in Iraq and Afghanistan using LLDMA, the scientists found certain bacteria, such as Pseudomonas species and Acinetobacter baumannii, which are common hospital-related infections, to be associated with wounds that did not heal successfully. Bacteria often related to the gastrointestinal system, such as Escherichia coli and Bacteroides species, were also often found in wounds that did heal successfully. The test was able to detect within 24 hours any virus or bacteria that has been sequenced and included among the array's probes.

The LLNL scientists are already building on the capacity of this microbial array. They are currently testing a next-generation LLMDA that contains 2.1 million probes representing about 178,000 sequences from 5,700 viruses and 785,000 sequences from thousands of bacteria. The new version also includes about 237,000 sequences from hundreds of fungi and about 202,000 sequences from 75 protozoa. Lawrence Livermore National Laboratory has licensed its microbial detection array technology to MOgene LC (St. Louis, MO, USA).

Related Links:
Lawrence Livermore National Laboratory
MOgene LC 


Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
New
Gold Member
Plasma Control
Plasma Control Level 1

Print article

Channels

Clinical Chemistry

view channel
Image: The 3D printed miniature ionizer is a key component of a mass spectrometer (Photo courtesy of MIT)

3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models

Mass spectrometry is a precise technique for identifying the chemical components of a sample and has significant potential for monitoring chronic illness health states, such as measuring hormone levels... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: The AI predictive model identifies the most potent cancer killing immune cells for use in immunotherapies (Photo courtesy of Shutterstock)

AI Predicts Tumor-Killing Cells with High Accuracy

Cellular immunotherapy involves extracting immune cells from a patient's tumor, potentially enhancing their cancer-fighting capabilities through engineering, and then expanding and reintroducing them into the body.... Read more