We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
PURITAN MEDICAL

Download Mobile App




New Algorithm Detects and Identifies Novel Bacterial Organisms

By LabMedica International staff writers
Posted on 19 Jan 2024
Print article
Image: The reliable identification of cultivated germs is essential in clinical bacteriology (Photo courtesy of University Hospital Basel)
Image: The reliable identification of cultivated germs is essential in clinical bacteriology (Photo courtesy of University Hospital Basel)

Hospitals frequently encounter unknown germs, and identifying these pathogens is crucial for efficient bacterial infection treatment. Typically, medical laboratory analysis can identify these pathogens, but standard methods sometimes fall short, especially when dealing with unclassified bacterial species or those difficult to cultivate. Since 2014, a dedicated research team has been collecting and analyzing patient samples containing such elusive germs, leading to the discovery of over 30 new bacteria species, some linked to significant clinical infections.

The team at the University of Basel (Basel, Switzerland) examined a total of 61 unidentified bacterial pathogens from various patient blood and tissue samples. These pathogens had previously eluded identification by conventional lab techniques like mass spectroscopy or partial bacterial genome sequencing. The researchers then employed a more recent method to sequence the complete genetic material of these bacteria. By comparing the genomes with known strains using an online tool, they identified 35 previously unknown bacteria out of the 61 samples. The remaining 26 strains were classified as difficult to identify. These strains either had their genome sequences recently added to databases or had only recently received accurate taxonomic descriptions. Upon reviewing patient data, they found that seven of the 35 new strains had clinical relevance, indicating their potential to cause bacterial infections in humans. Most of these newly identified species belong to the Corynebacterium and Schaalia genera, gram-positive bacilli typically part of the natural human skin microbiome and mucosa. Although often overlooked and understudied, these species can lead to infections when they enter the bloodstream, such as through a tumor.

One particularly challenging pathogen and potentially clinically significant was identified in a patient's inflamed thumb following a dog bite. This finding led the Basel team to consider it an emerging pathogen requiring close monitoring. Similarly, a Canadian research group isolated this bacterium from wounds inflicted by dog or cat bites, naming it Vandammella animalimorsus in 2022. The Basel team is also planning to name their new species, with two already named: Pseudoclavibacter triregionum, referring to Basel's location near Switzerland, France, and Germany's borders. The project is ongoing, with the team at the University Hospital Basel continuing to collect and sequence unknown pathogens from patient samples. They have already identified over 20 additional new species. This ongoing research is crucial for the future of medical diagnostics, as it will enable more accurate diagnoses and effective treatment of infections caused by rare pathogens right from the start.

“Such direct links between newly identified species of bacteria and their clinical relevance have rarely been published in the past,” said microbiologist Dr. Daniel Goldenberger who led the team. “We have noticed a major dynamic here: thanks to technological advances in bacteriology, much more is being published about newly discovered species of bacteria.”

Related Links:
University of Basel

Platinum Member
COVID-19 Rapid Test
OSOM COVID-19 Antigen Rapid Test
Magnetic Bead Separation Modules
MAG and HEATMAG
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
Systemic Autoimmune Testing Assay
BioPlex 2200 ANA Screen with MDSS

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

Molecular Diagnostics

view channel
Image: A blood test could predict lung cancer risk more accurately and reduce the number of required scans (Photo courtesy of 123RF)

Blood Test Accurately Predicts Lung Cancer Risk and Reduces Need for Scans

Lung cancer is extremely hard to detect early due to the limitations of current screening technologies, which are costly, sometimes inaccurate, and less commonly endorsed by healthcare professionals compared... 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: Exosomes can be a promising biomarker for cellular rejection after organ transplant (Photo courtesy of Nicolas Primola/Shutterstock)

Diagnostic Blood Test for Cellular Rejection after Organ Transplant Could Replace Surgical Biopsies

Transplanted organs constantly face the risk of being rejected by the recipient's immune system which differentiates self from non-self using T cells and B cells. T cells are commonly associated with acute... Read more

Pathology

view channel
Image: Comparison of traditional histopathology imaging vs. PARS raw data (Photo courtesy of University of Waterloo)

AI-Powered Digital Imaging System to Revolutionize Cancer Diagnosis

The process of biopsy is important for confirming the presence of cancer. In the conventional histopathology technique, tissue is excised, sliced, stained, mounted on slides, and examined under a microscope... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.