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maxPIE: An innovative high throughput approach to enhance pathogen inactivation practices
Yundi Yin1, Guifen Xiang2, Yunlong Pan1
1Institute of Blood Transfusion, Chinese Academy of Medical Sciences, Peking Union Medical College, Chengdu, Sichuan 610052, PR China; Key Laboratory of Transfusion Adverse Reactions, CAMS, Chengdu, Sichuan 610052, PR China.
Abstract:
Effective pathogen inactivation is highly desired in public health but limited by existing methods each capable of assessing pathogen inactivation effectiveness (PIE) only in a specific condition. We therefore developed a novel method maxPIE designed to identify maximal PIEs across inactivation conditions by leveraging the power of massive array technologies. maxPIE implements a three-step algorithm to quickly identify maximal PIEs of inactivation treatments: (1) dilute pathogens into different initial titers each stored in an array well, (2) submit one sorted array to one treatment, (3) scan the treated array to find the maximum. maxPIE outperformed the conventional methods in (a) inactivating S. aureus using ultraviolet light of different wavelengths with different durations; (b) antibiotic treatment of S. aureus, E. coli, and multidrug-resistant E. coli; (c) inactivating S. aureus in plasma using ultraviolet light in different wavelengths with and without riboflavin. maxPIE was easy to understand and interpret and was robust in situations where conventional PIE methods would suffer. Hence, maxPIE can serve as an innovative and high throughput approach that can be widely used to enhance pathogen inactivation practices.
Insights
A new method, maxPIE, efficiently identifies maximal pathogen inactivation effectiveness across various conditions. This high-throughput approach enhances public health by improving inactivation practices.
Area of Science:
- Microbiology
- Biotechnology
- Public Health
Background:
- Assessing pathogen inactivation effectiveness (PIE) is crucial for public health.
- Existing methods are limited to specific conditions, hindering comprehensive evaluation.
Purpose of the Study:
- To develop a novel, high-throughput method (maxPIE) for identifying maximal pathogen inactivation effectiveness across diverse conditions.
- To overcome limitations of conventional PIE assessment methods.
Main Methods:
- maxPIE utilizes massive array technologies and a three-step algorithm.
- Pathogens are diluted to different initial titers in array wells.
- Arrays undergo treatment, followed by scanning to determine maximal PIE.
Main Results:
- maxPIE demonstrated superior performance in inactivating S. aureus and E. coli using UV light and antibiotics.
- Effectiveness was validated across various conditions, including different wavelengths, durations, and in plasma.
- The method proved robust and outperformed conventional PIE assessment techniques.
Conclusions:
- maxPIE is an innovative, high-throughput approach for assessing pathogen inactivation effectiveness.
- It offers a robust and interpretable solution for enhancing pathogen inactivation practices in public health.
- The method can be widely adopted to improve safety and efficacy of inactivation treatments.
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