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Diagnosing Bacterial Vaginosis with Nucleic Acid Detection

According to GlobalData’s company profile on Hologic, Image segmentation techniques was a key innovation area identified from patents. Hologic‘s grant share as of January 2024 was 58%. Grant share is based on the ratio of number of grants to total number of patents.

Method for diagnosing bacterial vaginosis using nucleic acid detection

Source: United States Patent and Trademark Office (USPTO). Credit: Hologic Inc

A recently granted patent (Publication Number: US11884957B2) outlines a method for diagnosing Bacterial Vaginosis (BV) in individuals. The method involves obtaining a sample from a subject suspected of having BV and conducting a nucleic-acid-based detection assay to identify specific bacterial species within the genera Eggerthella, Prevotella, and Lactobacillus in the sample. The assay targets specific regions within the 16S rRNA genes of these bacteria, with the presence or absence of certain species indicating the presence of BV. The detection assay utilizes a cleavage-based approach involving specific primers and probe oligonucleotides to identify and cleave target sequences, ultimately allowing for the detection of Eggerthella, Prevotella, and Lactobacillus cleavage products.

Furthermore, the patent details additional aspects of the method, including the use of homogeneous detection reactions and real-time monitoring for the detection of the bacterial species. Specific sequences for primers and probe oligonucleotides are provided in the patent, along with instructions for detecting the cleavage products using fluorescent labels and quenchers in a FRET cassette system. The method aims to streamline the diagnosis of BV by targeting key bacterial species associated with the condition, limiting the detection to no more than ten bacterial genera linked to BV, thereby offering a precise and efficient diagnostic approach for healthcare professionals.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.

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