Skip to main content
Premium Trial:

Request an Annual Quote

Akonni Biosystems Scores $3M NIH Grant for POC Dx Platform, Drug-Resistant TB Assay

NEW YORK (GenomeWeb) – Akonni Biosystems announced today it has been awarded a three-year, $3 million Small Business Innovation Research grant from the National Institutes of Health.

Akonni said it will use the funding to accelerate commercialization of an assay for extensively drug-resistant tuberculosis and simultaneous drug susceptibility testing called TruArray that uses on-slide PCR within a microarray chamber. The company will also further develop the assay on its fully integrated point-of-care molecular diagnostics platform, the TruDx 3000. 

Akonni manufactures TruTip sample preparation technology as well as TruDiagnosis multiplexed diagnostics solutions. The Akonni XDR-TB test on the TruDx 3000 also includes an automated method of extracting DNA from sputum and a proprietary "lab-on-a-film" diagnostic consumable. This consists of molecular sensors printed on a conventional plastic film, enabling inexpensive microfluidics that can be rapidly assembled using a newspaper printing production method known as reel-to-reel manufacturing.

Last year Akonni raised $4 million in bridge financing from its current investors, secured $300,000 in research funding from the NIH for development of the TB assay, as well as $225,000 to develop a diagnostic for lower respiratory tract infections in children. Earlier this year the firm signed an exclusive two-way licensing deal with Chinese in vitro diagnostics company Righton that included distribution of Akonni's products in China.

The Scan

Study Links Genetic Risk for ADHD With Alzheimer's Disease

A higher polygenic risk score for attention-deficit/hyperactivity disorder is also linked to cognitive decline and Alzheimer's disease, a new study in Molecular Psychiatry finds.

Study Offers Insights Into Role of Structural Variants in Cancer

A new study in Nature using cell lines shows that structural variants can enable oncogene activation.

Computer Model Uses Genetics, Health Data to Predict Mental Disorders

A new model in JAMA Psychiatry finds combining genetic and health record data can predict a mental disorder diagnosis before one is made clinically.

Study Tracks Off-Target Gene Edits Linked to Epigenetic Features

Using machine learning, researchers characterize in BMC Genomics the potential off-target effects of 19 computed or experimentally determined epigenetic features during CRISPR-Cas9 editing.