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PROJECT
-Project Overview-

PROJECT OVERVIEW

Bacteria acquiring resistance to antibiotics pose serious health problem globally. Following last year’s example,
the project of Elan Vital Korea for this year also is related to MRSA. This year, however, we have focused
on early detection of MRSA infection using quorum sensing. Below, we have briefly described the health threats
caused by MRSA, and have explained the quorum sensing method. Then, we have proceeded to the description
of how we designed and implemented our experiments, and what results we have obtained. Finally, we have briefly
outlined the implication of our results and future plans.

Threats of Antibiotics-Resistant Bacteria

Infection by antibiotic-resistant bacteria is a serious health threat worldwide including Korea and
the United States of America. It is a serious threat primarily because, as the name suggests,
bacteria have evolutionarily developed a resistance to antibiotics. It means, first of all, drugs don’t work.
Furthermore, the spread of the antibiotic-resistant bacteria makes it more difficult to
control or contain the spread of the infectious disease, because it undermines the effectiveness of treatment.
And, it substantially increases the cost of healthcare, and the burden to society because it prolongs
the treatment period and increases the likelihood of death. WHO declared that it “threatens the achievements of
modern medicine” (Antimicrobial Resistance: Global Report on Surveillance 2014, WHO, 2014).
Antimicrobial resistance already causes 700,000 deaths every year, which number is expected to 10 million annually
by 2050 (An international legal framework to address antimicrobial resistance, WHO, 2015).

What makes the problem more pressing is that the data isbased on the reports of clinical samples from
laboratories, “predominantly in hospital settings” (Antimicrobial Resistance: Global Report on
Surveillance 2014, WHO, 2014, p. 70), which means community-acquired (compared to health-care associated)
infections and uncomplicated infections are underrepresented.

Global Report on Surveillance 2014, WHO, 2014, p. 70), which means community-acquired (compared to health-care
associated) infections and uncomplicated infections are underrepresented.

Existing Methods Used for Detection

CDC’s efforts at outsmarting the antibiotic resistance focuses on 4 core actions: detect, respond, prevent
and discover. The project is called AR Initiative (Detect and Protect Against Antibiotic
Resistance Initiative), which is an integral part of the CDC strategy to target investment aimed at AR.
Among the AR initiative, detection is the first step that impacts the whole controlling process.
Detecting antibiotic resistance quickly and effectively is crucial for determination of the treatment methods
for different patients as well as for quarantines to prevent it from becoming epidemic.
Currently, several methods are used for the detection of the antibiotic resistance. Most common and traditional
method is using growth inhibition assays performed in broth or by agar disc diffusion.
For clinically critical bacteria, diagnostic laboratories perform phenotypic-based analyses using standardized
susceptibility testing methods, usually in accordance with the guidelines published by the Clinical
and Laboratory Standards Institute.

Using the culture-based approach, it can take 1—2 days to produce results for fast-growing bacteria such as
Escherichia coli orSalmonella, but several weeks for slow-growing bacteria such as Mycobacterium tuberculosis.
Moreover, culturing only works for a small fraction of microbes; although most pathogens can be cultured
relatively easily thanks to years of accumulated experimental experiences, the vast majority of microbes cannot
grow outside their host environment, including pathogens such as Chlamydia orTrypanosomes.

Using newer molecular detection techniques for antibiotic resistance such as quantitative PCR (qPCR) or microarrays, we can determine
the presence of specific resistance genes within hours, and we obtain improved diagnosis results. However,
these culture-independent approaches target well-known and well-studied pathogens or resistance-causing genes only,
and cannot be easily used for broader spectrum screening.

CDC dramatically innovated the detection process by adopting the Advanced Molecular Detection (AMD), which combines the latest
pathogen identification technologies with bioinformatics and advanced epidemiology to more effectively understand, prevent and
control infectious diseases. Using those technologies, it is possible to rapidly look for a microbe's match among
thousands of reference samples in the microbe library. If no match is found, the whole genomic sequence
of the microbe's DNA code can be taken, then quickly analyzed using disease detective works and bioinformatics
to answer critical disease-response questions. However, this new method, while it sounds
very interesting, is not to be completed until 2020, and still requires incubation, as well as being expensive.

Our Hypothesis: Possibility of Using Quorum
Sensing for Early Detection

Our team, Elan Vital Korea, addressed the problem of rapidly detecting antibiotic-resistant bacteria. We were interested in
a rapid and efficient method of antibiotic resistance detection, and we believed that such a method could be engineered
using quorum sensing. Our hypothesis was that we would be able to use quorum sensing – a method bacteria
use to communicate with each other – to make the cells quickly report the existence of antibiotic-resistant bacteria

Using the culture-based approach, it can take 1—2 days to produce results for fast-growing bacteria such as Escherichia coli
orSalmonella, but several weeks for slow-growing bacteria such as Mycobacterium tuberculosis. Moreover, culturing only works
for a small fraction of microbes; although most pathogens can be cultured relatively easily thanks to
years of accumulated experimental experiences, the vast majority of microbes cannot grow outside their host
environment, including pathogens such as Chlamydia orTrypanosomes.

LUsing newer molecular detection techniques for antibiotic resistance such as quantitative PCR (qPCR) or microarrays, we can
determine the presence of specific resistance genes within hours, and we obtain improved diagnosis results. However, these
culture-independent approaches target well-known and well-studied pathogens or resistance-causing genes only,
and cannot be easily used for broader spectrum screening.

CDC dramatically innovated the detection process by adopting the Advanced Molecular Detection (AMD), which combines the latest
pathogen identification technologies with bioinformatics and advanced epidemiology to more effectively
understand, prevent and control infectious diseases. Using those technologies, it is possible to rapidly look for a microbe's match
among thousands of reference samples in the microbe library. If no match is found, the whole genomic sequence of the microbe's
DNA code can be taken, then quickly analyzed using disease detective works and bioinformatics to answer
critical disease-response questions. However, this new method, while it sounds very interesting,
is not to be completed until 2020, and still requires incubation, as well as being expensive.

For the project, we have developed a reporter cell that expresses GFP in the presence of the QS signaling molecule acyl homoserine
lactone (AHL). Our test cells (which act as a simulation of antibiotic-resistant bacteria) express lactonase, which breaks down AHL.
In our experimental system, test cells should signify their presence by breaking down AHL and
preventing GFP expression in reporter cells.

Experiment: Process and Results

There are many ways of utilizing quorum sensing for medicinal use, and one of the most intuitive and
most well-known methods is quorum quenching. Quorum quenching takes advantage of the fact that quorum sensing
also plays a role in expressing virulence, and interferes with the quorum sensing that produces virulence. There are many ways of
utilizing quorum sensing for medicinal use, and one of the most intuitive and most well-known methods is quorum quenching.
Quorum quenching takes advantage of the fact that quorum sensing also plays a role in expressing virulence, and
interferes with the quorum sensing that produces virulence.

However, for our project this year, we decided to focus on engineering a detection method for antibiotic resistance. For the project,
we created a test plasmid and a reporter plasmid. We then transformed competent E. coli with the plasmids to produce a
test cell and a reporter cell. As shown in the picture below, the test cell produces lactonase, which breaks down AHL, a common auto-inducer in
gram-negative bacteria. And the reporter cell produces GFP (or luciferase) which creates a visible difference that we can detect.
Both plasmids were engineered using the BioBrick DNA recombination process. With such a set up, it will be possible to detect the presence
of the test cell, or lactonase.

For the confirmation of our hypothesis, we conducted some experiments. Ideally, mixing AHL with the test cell will break down the AHL. And, adding
the reporter after that will not result in any fluorescence. But, if we do the same process with the control bacteria instead of the test cell,
there will be fluorescence. As theorized, the control experiments produced fluorescence, but the experiments with the test cell produced no fluorescence.

Expected Benefits

Thanks to bacteria’s ability to make quick and profound changes in gene transcription, quorum sensing can be
used to detect a low amount of signaling molecules and report their presence quickly. With further
research and thorough engineering applications, it may be possible to detect other antibiotic-resistant bacteria
that are unknown until now.

If it is proven as valid and effective through sufficient tests, this technique could be disseminated to
hospitals and clinics to test the presence of antibiotic-resistant bacteria.
We hope that this technique, if properly adjusted for functional advancement, can detect antibiotic-resistant
bacteria in a relatively short time with only a small amount of sample secured from the patient.
This would provide an advantage over the traditional detection methods, culture-based approaches which require
one or several days of incubation period.

Because chemicals involved in species-specific quorum sensing is very specific, it might be possible to
dramatically resolve the problem of overnight incubation. Because an initial sample from
a patient is usually contaminated and has only a small concentration of the wanted bacteria, it is often
impossible to detect any antibiotic-resistance without purification and amplification through overnight
incubation. But because species-specific quorum sensing involves biochemical that are
highly specific, and the quorum sensing chemicals are not affected as much by the contamination, the method
utilizing quorum sensing might be applied with relatively less purification processes. Also, because
some quorum sensing mechanisms have built in positive feedback, with the right engineering,
the mechanism could work with only a little amplification process.

More innovative detection methods such as quantitative PCR(qPCR) or microarrays, and advanced molecular
detection (AMD) are based on accumulated previous data and, thus, render very accurate results, but
they require complicated procedures and heavy equipment. On the other hand, this quorum sensing-based detection
method will provide benefits to patients with handy procedure and quicker detection results. We believe quicker
and easy detection of antibiotic-resistant bacteria will lead to better containment of such
dangerous bacterial strains.