US 12,482,537 B2
System of predicting sensitivity of Klebsiella against MeropeneM and method
Qiwen Yang, Beijing (CN); Jing Chen, Beijing (CN); Wei Yu, Beijing (CN); Jun Wang, Beijing (CN); Xiaobing Chu, Beijing (CN); Shiyu Chen, Beijing (CN); Qian Zhang, Beijing (CN); and Yao Yao, Beijing (CN)
Assigned to Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing (CN); and Hangzhou Jieyi Biotechnology Company Limited, Hanzhou (CN)
Filed by Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing (CN); and Hangzhou Jieyi Biotechnology Company Limited, Hanzhou (CN)
Filed on Nov. 29, 2023, as Appl. No. 18/523,698.
Claims priority of application No. 202310065167.5 (CN), filed on Feb. 6, 2023.
Prior Publication US 2024/0274302 A1, Aug. 15, 2024
Int. Cl. G16B 25/10 (2019.01); G01N 33/569 (2006.01); G16H 70/60 (2018.01)
CPC G16B 25/10 (2019.02) [G16H 70/60 (2018.01); G01N 33/56916 (2013.01); G01N 2333/26 (2013.01)] 6 Claims
OG exemplary drawing
 
1. A method of predicting sensitivity of Klebsiella against meropenem, comprising:
obtaining a microbial sample from a patient with pneumonia;
isolating a candidate Klebsiella strain from the microbial sample;
obtaining copy numbers of a plurality of genes in the candidate Klebsiella strain;
calculating a k value according to the formula

OG Complex Work Unit Math
wherein, in the formula:
C1 is the number of mphA gene copies in the candidate Klebsiella strain,
C2 is the number of marA gene copies in the candidate Klebsiella strain,
C3 is the number of Klebsiella pneumoniae KpnE gene copies in the candidate Klebsiella strain,
C4 is the number of KPC-1 gene copies in the candidate Klebsiella strain, and
C5 is the number of floR gene copies in the candidate Klebsiella strain;
calculating an Exp(−k) power value with e=2.718281828459045 as base and −k as exponent, wherein an Exp(−k) power value of <1 corresponds to a prediction that the candidate Klebsiella strain is sensitive to meropenem, and an Exp(−k) power value of ≥1 corresponds to a prediction that the candidate Klebsiella strain is resistant against meropenem;
predicting that the candidate Klebsiella strain is sensitive to meropenem; and
administering meropenem to the patient in a medication treatment to treat the pneumonia based on the prediction in response to the prediction that the candidate Klebsiella strain is sensitive to meropenem.