Features Partner Sites Information LinkXpress hp
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

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
Xylazine Immunoassay Test
Xylazine ELISA
Magnetic Bead Separation Modules
MAG and HEATMAG
POCT Fluorescent Immunoassay Analyzer
FIA Go
Gold Member
D-Dimer Test
Epithod 616 D-Dimer Kit
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








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: Signs of multiple sclerosis show up in blood years before symptoms appear (Photo courtesy of vitstudio/Shutterstock)

Unique Autoantibody Signature to Help Diagnose Multiple Sclerosis Years before Symptom Onset

Autoimmune diseases such as multiple sclerosis (MS) are thought to occur partly due to unusual immune responses to common infections. Early MS symptoms, including dizziness, spasms, and fatigue, often... 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: A new study has identified patterns that predict ovarian cancer relapse (Photo courtesy of Cedars-Sinai)

Spatial Tissue Analysis Identifies Patterns Associated With Ovarian Cancer Relapse

High-grade serous ovarian carcinoma is the most lethal type of ovarian cancer, and it poses significant detection challenges. Typically, patients initially respond to surgery and chemotherapy, but the... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.