Background: Since the majority
of battlefield deaths occur within the first 30 minutes after
injury, rapid diagnosis and treatment are crucial for enhancing
the soldier survival rate. Different types battlefield injuries
require different therapeutic interventions. Integrated
autonomous medical feedback systems hold great promise for improving
the diagnosis and treatment of injured soldiers. The ‘Sense and Act’
feedback-loop approach is currently being used for the management of
diabetes in connection to electrochemical glucose sensors and
insulin-delivery pumps.
Objective: The goal of this
collaborative activity is to develop next-generation ‘sense and treat’
autonomous devices for enhancing the survival rate of injured soldiers
in battlefield settings. Our objective is to carefully design and
critically test an enzyme-logic sensing system for providing reliable
assessment of the overall physiological condition during an injury and
initiating an optimal and timely self treatment through interface with
stimuli-responsive drug delivery actuators or a RF-connected
drug-delivery patch.
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Basic Concept of Enzyme-Logic Diagnostics
Enzyme logic systems comprised of several
concatenated logic gates operating in a concerted manner are capable of
processing the biochemical information received in the form of various
combinations of chemical signals according to the principles of Boolean
logic. Multiple inputs
(markers) thus trigger a cascade of enzymatic reactions. Integration of
biocomputing elements with sensing processes would allow multi-signal
analysis followed by biochemical processing of the data, giving the
final answer regarding the physiological conditions of a patient in a
digital (“YES” or “NO”) format.
Review papers: J. Wang, E. Katz, Digital biosensors with built-in logic for biomedical applications. Israel Journal of Chemistry 2011, 51, 141-150 J. Wang, E. Katz, Digital biosensors with built-in logic for biomedical applications – Biosensors based on biocomputing concept. Anal. Bioanal. Chem. 2010, 398, 1591-1603. |
Multiplexing of Injury Codes for the
Parallel Operation of Enzyme Logic Gates
The development of a highly parallel enzyme logic sensing concept employing a novel encoding scheme for the determination of multiple pathophysiological conditions is reported. The new concept multiplexes a contingent of enzyme-based logic gates to yield a distinct ‘injury code’ corresponding to a unique pathophysiological state as prescribed by a truth table. The new concept is illustrated using an array of NAND and AND gates to assess the biomedical significance of numerous biomarker inputs including creatine kinase, lactate dehydrogenase, norepinephrine, glutamate, alanine transaminase, lactate, glucose, glutathione disulfide, and glutathione reductase to assess soft-tissue injury, traumatic brain injury, liver injury, abdominal trauma, hemorrhagic shock, and oxidative stress. Under the optimal conditions, physiological and pathological levels of these biomarkers were detected through either optical or electrochemical techniques by monitoring the level of the outputs generated by each of the six logic gates. By establishing a pathologically meaningful threshold for each logic gate, the absorbance and amperometric assays tendered the diagnosis in a digitally-encoded 6-bit word, defined as an ‘injury code’. This binary ‘injury code’ enabled the effective discrimination of 64 unique pathological conditions to offer a comprehensive high-fidelity diagnosis of multiple injury conditions. |
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Such processing of relevant biomarker
inputs and the
subsequent multiplexing of the logic gate outputs to yield a
comprehensive ‘injury code’ offers significant potential for the rapid
and reliable assessment of varied and complex forms of injury in
circumstances where access to a clinical laboratory is not viable.
While the new concept of parallel and multiplexed enzyme logic gates is
illustrated here in connection to multi-injury diagnosis, it could be
readily extended to a wide range of practical medical, industrial,
security and environmental applications.
J. Halámek, J.R. Windmiller, J. Zhou, M.-C. Chuang, P. Santhosh, G. Strack, M.A. Arugula, S. Chinnapareddy, V. Bocharova, J. Wang, E. Katz, Multiplexing of injury codes for the parallel operation of enzyme logic gates. Analyst 2010, 135, 2249-2259. The approach was developed by a research team leaded by Dr. Jan Halámek. |
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Bio-Logic Analysis of Injury Biomarker
Patterns in Human Serum Samples
Digital biosensor
systems analyzing biomarkers characteristic of liver injury (LI), soft
tissue injury (STI) and abdominal trauma (ABT) were developed and
optimized for their performance in serum solutions spiked with injury
biomarkers in order to mimic real medical samples. The systems produced
‘Alert’-type optical output signals in the form of “YES-NO” separated
by a threshold value. The new approach aims at the reliable detection
of injury biomarkers for making autonomous decisions towards timely
therapeutic interventions, particularly in conditions when a hospital
treatment is not possible. The enzyme-catalyzed reactions performing
Boolean AND / NAND logic operations in the
presence of different combinations of the injury biomarkers allowed
high-fidelity biosensing. Robustness of the systems was confirmed by
their operation in serum solutions, representing the first example of
chemically performed logic analysis of biological fluids and a step
closer towards practical biomedical applications of enzyme-logic
bioassays.J. Zhou, J. Halámek, V. Bocharova, J. Wang, E. Katz, Bio-logic analysis of injury biomarker patterns in human serum samples. Talanta 2011, 83, 955-959. The experiments in human serum solutions were performed by PhD student Jian Zhou. |
Accomplishments / Impact / Transitions:
Increased complexity and processing
capability of enzyme logic designs.
Introduced and evaluated new concept of multiplexing enzyme logic outputs into ‘injury code’ through the parallel operation of logic gates. Developed minimally invasive electronic transducers, signal-responsive materials & actuators. Impact of work – the ability to multiplex detection of six unique injuries using the parallel operation of enzyme logic-based biochemical networks. Transitioning towards immobilization of enzymes to form dry reagents suitable for field-use biosensors. Transitioning towards the development of smart & robust materials for targeted delivery of medication tailored to each injury scenario. The work is performed in Clarkson (Katz)
and UCSD (Wang) in the frame of the collaborative project supported by
ONR.
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