CRISPR in MOF Formulation with Enhanced Stability, Activity, and Altered PAM Specificity for Broad‐Spectrum Diagnosis of Bacterial Sepsis

Sepsis is a life-threatening condition caused by polymicrobial infections and remains a global health emergency that requires rapid and broad-spectrum diagnostics. Existing CRISPR-based assays face two major limitations that restrict their application for sepsis: narrow protospacer adjacent motif (PAM) site compatibility and poor enzyme stability under clinical and environmental stresses. A modular diagnostic platform is presented, CRISPR-FLEXMO (CRISPR with flexible PAM in metal-organic framework encapsulation, MOF), which integrates a PAM-relaxed Cas12a variant (K607R) with a manganese-coordinated MOF (Mn-MOF) for stable and specific detection of sepsis-causing bacteria. The system targets a conserved region upstream of the Shine-Dalgarno sequence in the 16S rRNA gene containing a universal TTCC PAM, enabling broad-spectrum detection with a single universal primer pair across Gram-negative and Gram-positive pathogens. The K607R variant shows enhanced cis- and trans-cleavage activity, while Mn-MOF encapsulation maintains enzyme functionality under ambient, thermal, and chaotropic stress. The assay detects as low as 10 CFU mL<sup>-1</sup> in bacterial lysates following amplification and achieves 100% sensitivity and specificity in serum samples from 15 sepsis patients and 3 healthy individuals, with no cross-reactivity to six respiratory viruses. The platform retains over 78% activity after 12 weeks of room-temperature storage, offering a field-deployable CRISPR diagnostic solution for next-generation infectious disease detection.

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Publication Details

Journal
Advanced Science
Published
2025-11-23
DOI
https://doi.org/10.1002/advs.202513439
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

CRISPR in MOF Formulation with Enhanced Stability, Activity, and Altered PAM Specificity for Broad‐Spectrum Diagnosis of Bacterial Sepsis

Zilong Liu, Tathagata Pal, Meera Goh Nair, Juhong Chen
Advanced Science
CRISPR and Genetic Engineering
article

CRISPR in MOF Formulation with Enhanced Stability, Activity, and Altered PAM Specificity for Broad‐Spectrum Diagnosis of Bacterial Sepsis

Zilong Liu, Tathagata Pal, Meera Goh Nair, Juhong Chen
article en

Abstract

Sepsis is a life-threatening condition caused by polymicrobial infections and remains a global health emergency that requires rapid and broad-spectrum diagnostics. Existing CRISPR-based assays face two major limitations that restrict their application for sepsis: narrow protospacer adjacent motif (PAM) site compatibility and poor enzyme stability under clinical and environmental stresses. A modular diagnostic platform is presented, CRISPR-FLEXMO (CRISPR with flexible PAM in metal-organic framework encapsulation, MOF), which integrates a PAM-relaxed Cas12a variant (K607R) with a manganese-coordinated MOF (Mn-MOF) for stable and specific detection of sepsis-causing bacteria. The system targets a conserved region upstream of the Shine-Dalgarno sequence in the 16S rRNA gene containing a universal TTCC PAM, enabling broad-spectrum detection with a single universal primer pair across Gram-negative and Gram-positive pathogens. The K607R variant shows enhanced cis- and trans-cleavage activity, while Mn-MOF encapsulation maintains enzyme functionality under ambient, thermal, and chaotropic stress. The assay detects as low as 10 CFU mL<sup>-1</sup> in bacterial lysates following amplification and achieves 100% sensitivity and specificity in serum samples from 15 sepsis patients and 3 healthy individuals, with no cross-reactivity to six respiratory viruses. The platform retains over 78% activity after 12 weeks of room-temperature storage, offering a field-deployable CRISPR diagnostic solution for next-generation infectious disease detection.

Advanced ScienceVol. 13(8)
University of California, Riverside (US)
National Institutes of Health, University of California, Riverside
Openalex Percentile: Top 68%
CRISPR and Genetic Engineering
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