Literature DB >> 19523809

Enzyme logic gates for the digital analysis of physiological level upon injury.

Kalayil Manian Manesh1, Jan Halámek, Marcos Pita, Jian Zhou, Tsz Kin Tam, Padmanabhan Santhosh, Min-Chieh Chuang, Joshua R Windmiller, Dewi Abidin, Evgeny Katz, Joseph Wang.   

Abstract

A biocomputing system composed of a combination of AND/IDENTITY logic gates based on the concerted operation of three enzymes: lactate oxidase, horseradish peroxidase and glucose dehydrogenase was designed to process biochemical information related to pathophysiological conditions originating from various injuries. Three biochemical markers: lactate, norepinephrine and glucose were applied as input signals to activate the enzyme logic system. Physiologically normal concentrations of the markers were selected as logic 0 values of the input signals, while their abnormally increased concentrations, indicative of various injury conditions were defined as logic 1 input. Biochemical processing of different patterns of the biomarkers resulted in the formation of norepiquinone and NADH defined as the output signals. Optical and electrochemical means were used to follow the formation of the output signals for eight different combinations of three input signals. The enzymatically processed biochemical information presented in the form of a logic truth table allowed distinguishing the difference between normal physiological conditions, pathophysiological conditions corresponding to traumatic brain injury and hemorrhagic shock, and abnormal situations (not corresponding to injury). The developed system represents a biocomputing logic system applied for the analysis of biomedical conditions related to various injuries. We anticipate that such biochemical logic gates will facilitate decision-making in connection to an integrated therapeutic feedback-loop system and hence will revolutionize the monitoring and treatment of injured civilians and soldiers.

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Year:  2009        PMID: 19523809     DOI: 10.1016/j.bios.2009.05.019

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  4 in total

1.  Employing the metabolic "branch point effect" to generate an all-or-none, digital-like response in enzymatic outputs and enzyme-based sensors.

Authors:  Sandra Perez Rafael; Alexis Vallée-Bélisle; Esteve Fabregas; Kevin Plaxco; Giuseppe Palleschi; Francesco Ricci
Journal:  Anal Chem       Date:  2011-12-28       Impact factor: 6.986

Review 2.  Biosensors with built-in biomolecular logic gates for practical applications.

Authors:  Yu-Hsuan Lai; Sin-Cih Sun; Min-Chieh Chuang
Journal:  Biosensors (Basel)       Date:  2014-08-27

3.  Design of Flow Systems for Improved Networking and Reduced Noise in Biomolecular Signal Processing in Biocomputing and Biosensing Applications.

Authors:  Arjun Verma; Brian E Fratto; Vladimir Privman; Evgeny Katz
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

Review 4.  Enhancement of Biosensors by Implementing Photoelectrochemical Processes.

Authors:  Melisa Del Barrio; Gabriel Luna-López; Marcos Pita
Journal:  Sensors (Basel)       Date:  2020-06-09       Impact factor: 3.576

  4 in total

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