News

AddToAny

Google+ Facebook Twitter Twitter

Blood signature could improve early TB diagnosis

A gene signature in the bloodstream could reveal whether someone is going to develop active tuberculosis (TB) months before any symptoms begin.

Such a signature has now been developed by a team led by the Francis Crick Institute and University of Leicester.

The research looked at 53 TB patients in Leicester and followed 108 of their close contacts over two years to see who developed active TB.

They found that those who remained healthy showed no sustained gene signature, while six of the nine who went on to develop active TB showed a strong, sustained signature.

This is the first study to link the presence of signature and the onset of early TB before the patient has symptoms.

This small proof-of-principle study shows a potential new direction for TB detection.

Anne O’Garra, senior author of the paper, said: “This study was a promising proof-of-principle, offering new insights into how to develop gene signatures for active TB.

“The next step will be to develop and test different gene signatures in larger groups of people, with the aim of being able to offer validated tests to patients within the next decade.”

The research was carried out in collaboration with BIOASTER and bioMérieux and the University of Cape Town.

go.nature.com/2MJYYVI

 

Image Credit | Science Photo

Related Articles

girl computer_CREDIT_shutterstock-58872785

Gamification in biomedical science education

Senior Lecturer in Biomedical Science Jen May outlines the successful implementation of scenario-based learning software.

web_blood-testing_credit_istock-1384651794.png

SPONSORED: The power of automated gel-based ID-cards in routine immunohematology workflows

Immuno-haematology assays are pivotal to the carrying out of blood grouping, antibody screening and transfusions, and represent a critically time-dependent stage in the patient management pathway.

Technician holding a blood sample ready for testing with other human medical samples in the background.-Image credit - Science-Photo-Library-f0243823

Machine learning tool to detect cancer via liquid biopsy

US researchers have developed and tested an innovative machine-learning approach that could one day enable the earlier detection of cancer in patients by using smaller blood draws.

multiple myelomatosis-CREDIT-Science Photo Library-m132099

IBMS research grants

We look at the work of Dr Mosavar Farahani who received an IBMS Research Grant in 2023 to help fund her work on disease progression and skeletal complications in multiple myeloma.

Top