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 hp
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Rapid POC Salivary Diagnostic Technology Shows Potential for Detecting Various Disease Biomarkers

By LabMedica International staff writers
Posted on 15 May 2023

Across the globe, approximately 3. More...

5 billion individuals are currently afflicted by oral diseases. Numerous oral bacteria are also associated with systemic illnesses such as diabetes, heart disease, and cancer. Now, a new diagnostic tool that can be used in a dental office analyzes saliva samples to provide comprehensive information on oral health and determine the risk for cavities and gum disease and systemic diseases.

Scientists from the Forsyth Institute (Cambridge, MA, USA) have demonstrated a CRISPR-based technology that can identify specific oral pathogens in approximately half an hour. The SHERLOCK system, a CRISPR-Cas molecular diagnostic platform, can accurately pinpoint and target RNA and DNA molecules in a sequence-specific manner. This technology has been tailored to target four oral bacteria known to contribute to oral health issues, such as periodontitis (gum disease) and dental cavities. The new point-of-care diagnostic technology could revolutionize dental care and facilitate early disease detection, eliminating the discomfort, inconvenience, and expense of blood tests.

In the recent study, the researchers tested the system on three bacteria associated with a variety of conditions, including cancer, digestive diseases, cardiovascular diseases, and neurodegenerative diseases. The findings indicated the impressive adaptability of the diagnostic tool to identify any biomarker from saliva, including markers related to inflammation and cancer. Using this innovative detection method, a person could simply provide a saliva sample and receive highly precise results in a minimal amount of time. This test could be administered in a dental clinic without the need for specialized skills.

“Targeted treatments are only possible when you know which bugs are in the mouth. In any disease, we cannot begin to create effective treatments until we have diagnostics,” said Dr. Batbileg Bor, who led the study and is an Assistant Member of Staff at Forsyth. “Currently, available tests on the market are either low sensitivity or require analysis at an expensive centralized laboratory. It can take months to get the results. The studied detection tool solves both problems, featuring high-sensitivity, low-cost tests with rapid results.”

“The test is so sensitive it can detect as little as 10s of bacteria cells of a certain type from a sample that might contain around 200 species of bacteria commonly found in your mouth,” added Dr. Bor. “We were able to target and detect specific bacteria in unprocessed saliva, meaning we could get this level of sensitivity and specificity without having to additionally process the saliva sample.”

Related Links:
Forsyth Institute 


Gold Member
STI Test
Vivalytic MG, MH, UP/UU
Online QC Software
Acusera 24•7
Manual Pipetting Aid
Pipette Controllers macro
LAIR2 Antibody Pair Set
LAIR2 Antibody Pair [Biotin]
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: A simple oral swab detected blood-matched inflammatory signals in children with primary ciliary dyskinesia, offering a needle-free way to monitor inflammation during routine care (Image credit: Shutterstock)

Simple Oral Swab Monitors Persistent Inflammation in Primary Ciliary Dyskinesia

Primary ciliary dyskinesia is a rare lung disease that affects about one in 7,500 to 10,000 live births worldwide. Symptoms can begin in the newborn period and progress to recurrent respiratory infections... Read more

Molecular Diagnostics

view channel
Image: Using deep sequencing of cell-free fetal DNA from maternal blood and advanced computational analysis, the method reconstructs fetal variants across the exome (Image credit: Adobe Stock)

Noninvasive Sequencing Test Approaches Invasive Genome Sequencing for Prenatal Screening

Prenatal genetic evaluation guides obstetric care, but standard diagnostics often require invasive procedures that carry risks, stress, and access barriers. Noninvasive prenatal testing (NIPT) has expanded... Read more

Microbiology

view channel
Image: The study compares rapid molecular CPE diagnostics, which can return results in about one hour, with culture-based screening, which typically takes about 48 hours (Image credit: Adobe Stock)

Rapid Molecular Screening Aims to Accelerate Hospital Infection Control for CPE

Drug-resistant infections remain a critical patient-safety threat in hospitals, with carbapenemase-producing Enterobacterales (CPE) among the most urgent concerns. In England, reports of acquired carbapenemase... Read more

Pathology

view channel
Image: Overview of the uncertainty-aware lensfree computational pathology platform for automated HER2 assessment. A compact lensfree holographic imaging system captures diffraction patterns from immunohistochemically stained breast tissue samples, which are computationally reconstructed and analyzed using deep neural networks with Bayesian uncertainty quantification. (Photo courtesy of Ozcan Lab, UCLA)

Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer

Accurate assessment of human epidermal growth factor receptor 2 (HER2) is critical for breast cancer diagnosis and treatment selection, yet scoring variability and infrastructure requirements can complicate... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.