Back

Rapid Cas13a-based penA genotyping for cefixime susceptibility in Neisseria gonorrhoeae

Nguyen, T. H. Y.; Garg, S.; Adams, G.; Mantena, S.; Gopal, N.; Suk, H.-J.; Klausner, J. D.; Sabeti, P.; Lemieux, J. E.; Allan-Blitz, L.-T.

2026-03-01 bioengineering
10.64898/2026.02.26.708400 bioRxiv
Show abstract

BackgroundAntimicrobial resistance in Neisseria gonorrhoeae is an urgent public health threat. Resistance-guided therapy can assure appropriate treatment and reintroduce alternative therapeutic options by identifying genetic predictors of resistance. Mosaicism at codons 375-377 of the penA gene are associated with cefixime resistance. Rapid, field-deployable assays for predicting cefixime susceptibility are lacking. MethodsWe used a machine-learning algorithm to develop a CRISPR Cas13a-based assay to detect the absence of mosaicism at codons 375-377 of the penA gene combined with isothermal amplification in a single reaction. We integrated the assay onto a portable fluorescence-based platform. We evaluated performance using cultured isolates and compared results with PCR genotyping and phenotypic antimicrobial susceptibility testing. We also assessed feasibility of reagent lyophilization for cold-chain-independent deployment. ResultsAmong 40 N. gonorrhoeae isolates, the Cas13a penA assay demonstrated 100% concordance with PCR genotyping and 92{middle dot}5% (95% CI 79.6-98.4%) concordance with phenotypic cefixime susceptibility. Median time to detection was 12 minutes (IQR 5 minutes). The lyophilized detection system detected all 12 isolates with a median time to detection of 45{middle dot}0 minutes (IQR 40-45) compared to 45{middle dot}0 minutes (IQR 35-50) for the positive aqueous control, although peak fluorescence was higher for the aqueous control (p<0.01). ConclusionThe Cas13a assay was rapid and demonstrated strong correlation with genotypic and phenotypic cefixime susceptibility in N. gonorrhoeae, while a lyophilized assay retained functionality.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Journal of Clinical Microbiology
120 papers in training set
Top 0.1%
17.5%
2
The Lancet Microbe
43 papers in training set
Top 0.1%
6.8%
3
Scientific Reports
3102 papers in training set
Top 18%
6.3%
4
PLOS ONE
4510 papers in training set
Top 28%
6.3%
5
Nature Communications
4913 papers in training set
Top 29%
6.3%
6
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 1%
3.6%
7
The Journal of Infectious Diseases
182 papers in training set
Top 1%
3.2%
50% of probability mass above
8
Journal of Antimicrobial Chemotherapy
43 papers in training set
Top 0.2%
2.4%
9
Clinical Infectious Diseases
231 papers in training set
Top 2%
2.4%
10
Antimicrobial Agents and Chemotherapy
167 papers in training set
Top 0.9%
2.1%
11
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 3%
1.9%
12
mSphere
281 papers in training set
Top 3%
1.8%
13
Sexually Transmitted Infections
21 papers in training set
Top 0.2%
1.8%
14
ACS Infectious Diseases
74 papers in training set
Top 0.6%
1.7%
15
Cell Reports Medicine
140 papers in training set
Top 4%
1.7%
16
BMC Methods
11 papers in training set
Top 0.1%
1.3%
17
Med
38 papers in training set
Top 0.5%
0.9%
18
PLOS Computational Biology
1633 papers in training set
Top 21%
0.9%
19
Journal of Infection
71 papers in training set
Top 2%
0.9%
20
Lab on a Chip
88 papers in training set
Top 1%
0.9%
21
The Analyst
15 papers in training set
Top 0.5%
0.8%
22
mSystems
361 papers in training set
Top 7%
0.7%
23
PLOS Neglected Tropical Diseases
378 papers in training set
Top 5%
0.7%
24
eLife
5422 papers in training set
Top 60%
0.7%
25
Microbiology Spectrum
435 papers in training set
Top 6%
0.6%
26
Evolutionary Applications
91 papers in training set
Top 1%
0.6%
27
Applied and Environmental Microbiology
301 papers in training set
Top 4%
0.6%
28
Microbial Genomics
204 papers in training set
Top 3%
0.6%