Genetic testing for predicting resistance of klebsiella species against antimicrobial agents
AssigneeCuretis GmbH
InventorsAndreas Keller, Susanne Schmolke, Cord Friedrich Stahler, Christina Backes
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AssigneeCuretis GmbH
InventorsAndreas Keller, Susanne Schmolke, Cord Friedrich Stahler, Christina Backes
Estimating the term…
The invention relates to a method of determining an infection of a patient with Klebsiella species potentially resistant to antimicrobial drug treatment by detecting mutations in the genes, parC, KPN 01607, gyrA, KPN 02451, baeR, aceF, ybgH, ynjE, KPN 01951, KPN 01961, KPN 02114, mhpA, KPN 02128, KPN 02144, KPN 02149, ydiJ, btuE, oppC, pth, KPN 02298, KPN 02302, dadA, yoaA, ftn, cbl, hisB, yegQ, yehY, KPN 02580, yejH, KPN 02621, yfaW, KPN 02170, KPN 02025, livG, livM, livH, fliY, yedQ, abgB, treA, baeS, KPN 02399, ydcR, anmK, ccmF, KPN 02440, KPN 02540, KPN 01752, and KPN 04195, and/or KOX 26125, KOX 13365, KOX 16735, KOX 25695, KOX 12270, and KOX 15055; a method of selecting a treatment of a patient suffering from an antibiotic resistant Klebsiella infection; and a method of determining an antibiotic resistance profile for bacterial microorganisms of Klebsiella species, as well as computer program products used in these methods. In an exemplary method, a sample is used for molecular testing and then a molecular fingerprint is taken. The result is then compared to a reference library and the result is reported.
A diagnostic method of determining an infection of a patient with Klebsiella species potentially resistant to antimicrobial drug, e.g. antibiotic, treatment, comprising the steps of:
A method of selecting a treatment of a patient suffering from an infection with a potentially resistant Klebsiella strain, comprising the steps of:
The method of one or more of the preceding claims, wherein the Klebsiella species is Klebsiella pneumoniae and at least a mutation in parC, particularly in position 3763210 with regard to reference genome NC_009648 as annotated at the NCBI, is determined, and/or
The method of one or more of the preceding claims, wherein the method involves determining the resistance of Klebsiella to one or more antimicrobial, e.g. antibiotic, drugs.
The method of one or more of the preceding claims, wherein the antimicrobial drug, e.g. antibiotic drug, is selected from the group consisting of Amoxicillin/K Clavulanate (AUG), Ampicillin (AM), Aztreonam (AZT), Cefazolin (CFZ), Cefepime (CPE), Cefotaxime (CFT), Ceftazidime (CAZ), Ceftriaxone (CAX), Cefuroxime (CRM), Cephalotin (CF), Ciprofloxacin (CP), Ertapenem (ETP), Gentamicin (GM), Imipenem (IMP), Levofloxacin (LVX), Meropenem (MER), Piperacillin/Tazobactam (P/T), Ampicillin/Sulbactam (A/S), Tetracycline (TE), Tobramycin (TO), and Trimethoprim/Sulfamethoxazole (T/S).
The method of one or more of the preceding claims, wherein determining the nucleic acid sequence information or the presence of a mutation comprises determining a partial sequence or an entire sequence of the at least two genes.
The method of one or more of the preceding claims, wherein determining the nucleic acid sequence information or the presence of a mutation comprises determining a partial or entire sequence of the genome of the Klebsiella species, wherein said partial or entire sequence of the genome comprises at least a partial sequence of said at least two genes.
The method of one or more of the preceding claims, wherein determining the nucleic acid sequence information or the presence of a mutation comprises using a next generation sequencing or high throughput sequencing method, preferably wherein a partial or entire genome sequence of the bacterial organism of Klebsiella species is determined by using a next generation sequencing or high throughput sequencing method.
A method of determining an antimicrobial drug, e.g. antibiotic, resistance profile for bacterial microorganisms of Klebsiella species, comprising:
A method of acquiring an antimicrobial drug, e.g. antibiotic, resistance profile for bacterial microorganisms of Klebsiella species, comprising:
Dependencies are inferred from the claim text.