New disease surveillance tool helps detect human-infecting virus

Press Trust of India  |  Boston 

Scientists have created molecular "baits" that can trap any known to infect humans, a tool that can be used to efficiently conduct global surveillance and cost-effectively control outbreaks.

During the Zika of 2015-16, public officials scrambled to contain the epidemic. The problem was, there just are not many Zika particles in the blood of a sick patient. Looking for it in clinical samples can be like fishing for a minnow in an ocean.

Scientists at in the US have developed a computational method called Compact Aggregation of Targets for Comprehensive (CATCH) to overcome this hurdle.

The method can be used to design molecular "baits" for any virus known to infect humans and all their known strains, including those that are present in low abundance in clinical samples, such as Zika.

The approach can help small sequencing centres around the globe conduct surveillance more efficiently and cost-effectively, which can provide crucial information for controlling outbreaks.

"As genomic sequencing becomes a critical part of surveillance, tools like CATCH will help us and others detect outbreaks earlier and generate more data on pathogens that can be shared with the wider scientific and medical research communities," said Christian Matranga, a co-senior of the study who has joined a

CATCH allows users to design custom sets of probes to capture genetic material of any combination of microbial species, including viruses or even all forms of all viruses known to infect humans.

Users can easily input genomes from all forms of all human viruses that have been uploaded to the US National Center for Information's GenBank sequence database.

The programme determines the best set of probes based on what the user wants to recover, whether that's all viruses or only a subset.

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Tue, February 05 2019. 16:25 IST