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Tuberculosis resistance prediction method

A technology for drug resistance and predictive value, applied in biochemical equipment and methods, microbial determination/testing, genomics, etc.

Pending Publication Date: 2021-08-31
UNIV ZURICH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This regimen takes 9–12 months and costs significantly less than traditional MDR-TB treatment, which can take up to 2 years

Method used

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  • Tuberculosis resistance prediction method
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  • Tuberculosis resistance prediction method

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Embodiment Construction

[0019] A first aspect of the invention relates to a method of predicting the susceptibility or resistance of mycobacteria to an antimicrobial drug in a patient. The method includes the following steps:

[0020] Mycobacterial nucleic acid is isolated from the sample.

[0021] In the sequencing step, a nucleic acid sample sequence is obtained from said mycobacterial nucleic acid.

[0022] In a subsequent alignment step, the sample sequence was aligned to a reference sequence, which for the present invention is the sequence NC_000962.3 (Mycobacterium tuberculosis H37Rv, complete genome). A reference sequence includes a number of reference positions (RN). In the tables below, reference positions (RN) are characterized by their number in the reference sequence; position numbers are in Tables A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P and / or Q are given in the designated column (POS) for the top designation. Each drug that can be predicted by the method of the present invent...

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Abstract

The invention relates to a method for predicting mycobacterial drug resistance, the method comprising the steps of isolating mycobacterial nucleic acid from a sample, obtaining a sample sequence from the nucleic acid, aligning and comparing the sample sequence to a reference sequence and determining for each reference position whether the sample sequence value is the same as a particular sequence value assigned to the position in a table. If both values are the same, a position weight value is assigned to the position. A predictor value is obtained by adding all position weight values and the predictor value is compared to a threshold value. If the predictor value is smaller than the threshold value, drug resistance is predicted. The invention encompasses a system for practicing the method, and the use of certain antibacterial drugs to treat infections by pathogens, resistance of which has been determined by the method of the invention.

Description

[0001] The present invention relates to a method for predicting the resistance of mycobacterial pathogens to common antibacterial drugs. Background technique [0002] Tuberculosis (TB) is caused by the bacterium Mycobacterium tuberculosis. According to the World Health Organization, about a quarter of the world's population has latent TB, with a lifetime risk of TB of 5%–15%. Patients with compromised immune systems, such as those with HIV, malnutrition or diabetes, or those who use tobacco, are at much higher risk. Therefore, TB is one of the top ten causes of death worldwide. In 2017, 10 million people were living with TB and 1.6 million died from the disease (including 300,000 people living with HIV). [0003] Anti-TB drugs have been used for decades, and strains resistant to 1 or more of the most common drugs have been identified worldwide. Drug resistance occurs when drugs are used incorrectly, when healthcare providers prescribe them incorrectly, when medicines are of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/689G16B20/20
CPCC12Q1/689C12Q2600/106C12Q2600/156G16B20/20G16B30/10C12Q1/6869C12Q1/6876
Inventor 托尔斯滕·布赫普拉杰瓦尔·普拉杰瓦尔塞巴斯蒂安·杜梅克
Owner UNIV ZURICH