Difference between revisions of "Team:KU Leuven/Description"

Line 148: Line 148:
 
                                 We created our own mathematical model with the previous selected ion channels. This computational set-up allowed us to perform experiments in silico.
 
                                 We created our own mathematical model with the previous selected ion channels. This computational set-up allowed us to perform experiments in silico.
 
                             </p>
 
                             </p>
                             <h4>Final decision </h4>
+
                             <h3>Final decision </h3>
 
                             <p>
 
                             <p>
 
                                 We decided to transfect the HEK cells with HCN2, α1G and hERG, mostly due to imaging capabilities, transfection efficiency and availability. Furthermore, our mathematical model showed oscillations which supported our final choice of ion channels.
 
                                 We decided to transfect the HEK cells with HCN2, α1G and hERG, mostly due to imaging capabilities, transfection efficiency and availability. Furthermore, our mathematical model showed oscillations which supported our final choice of ion channels.
Line 167: Line 167:
 
                         </div>
 
                         </div>
 
                         <div class="content" style="display: none;">
 
                         <div class="content" style="display: none;">
                             <p> To write: </p>
+
                             <h4>Theory</h4>
                             <p> About what we aim to measure and how we can work towards it. Different ways on how we could measure in our project.</p>
+
                             <p>
 +
                                The final goal of our HEKcite project is to create a biological sensor using self-designed oscillating cells. We aim to create a cellular system that can vary its oscillation frequency depending on the concentration of a certain molecule. The ultimate goal is to create a device that measures this frequency and thus indirectly measures the concentration of the molecule of interest.
 +
                                One of the potential applications we’ve been looking at is therapeutic drug monitoring. Drugs such as anti-epileptics, immunosuppressants and anti-psychotics would benefit greatly from continuous therapeutic monitoring. Furthermore, our system allows to measure the drug dynamics, rather than the absolute concentration which you often measure using conventional methods. Drugs that bind tightly to transporter molecules such as albumin often do not have any clinical effects and should not be measured. Patients with certain kidney diseases or liver diseases can have a fluctuating albumin concentration, which changes the free drug concentration.
 +
                            <p>
 +
                            </p>
 +
                                Our proposed system allows to only measure this clinically relevant free concentration.
 +
                            <p>
 +
                            </p>
 +
                            <h4>Versatility</h4>
 +
                            <p>
 +
                                    With the design of our system, versatility was kept in mind. Molecules of interest can influence the rhythm either directly by interacting with one of the ion channels, or indirectly by second messengers or a genetic link. Both the cells and relevant ion channels could be changed when considering a new application. The possibilities of the concept are endless and only limited by the imagination of the researchers.
 +
                            </p>
 +
                            <h4>Practice</h4>
 +
                            <p>
 +
                                Members of the HEKcite team consulted with patients and doctors to assess current needs in the area of therapeutic drug monitoring. Patient preferences was taken into consideration when designing the experimental setup and hardware layout.
 +
                            The medical community is mostly interested in monitoring drugs that need a long-term stable concentration, such as anti-epileptics, immunosuppressants and anti-psychotics. When adapting to a new regime, many of these drugs need frequent blood samples in the first few months. Blood samples however, give information only about that specific time-frame, while continuous monitoring would allow for a easier and more precise follow-up and treatment in patients.
 +
                            </p>
 +
 
 
                         </div>
 
                         </div>
 
                     </div>
 
                     </div>

Revision as of 20:09, 28 September 2017

Project

HEKcite! Inspired by the human heart rhythm, we aim to create an electrophysiological oscillator from eukaryotic cells. Rhythmic contraction of heart cells is coordinated by a small group of cells located in the sinus node, which have an intrinsic frequency of de- and repolarization. This frequency of electrical oscillation is influenced by environmental parameters as well as certain molecular substrates. The oscillator that we aim to create consists of genetically modified excitable Human Embryonic Kidney (HEK) cells, altered to contain the intrinsic pacemaker ability found in sinus cells. As witnessed in heart cells, the rhythm would be dependent on substrate-activated ion channels in the membrane. As there is a great variety of ion channels available in nature, the oscillator could be modified to measure concentrations of many specific substrates. By integrating a certain ion channel into the oscillating system, specificity for a substrate can be chosen. Building an electrical oscillator from cells has several advantages. Intra- or extracellular changes that influence the conductance of ion channels in the membrane have an immediate impact on the frequency of oscillation. Once these cells are connected to each other (by for example gap-junctions), they generate an electrical signal that can easily be measured from a distance and non-invasively—similar to the way electrocardiography (ECG) and electroencephalography (EEG) measure electrical activity in the heart and brain. A multi-purpose sensor suitable for this system could be developed for medical and biotechnological applications. One such application is the measurement of drugs that interact with ion channels, such as antipsychotics, anti-epileptics or a certain class of immunosuppressants.


Inspired by the heart

We drew our inspiration from the versatility and robustness of the heart. It beats continuously over the years, rapidly adapting its pace when necessary.

Creation of the Rhythm

We drew our inspiration from the versatility and robustness of the heart. It beats continuously over the years, rapidly adapting its pace when necessary.

Biosensing

Finally, we aim to influence the pace by varying concentrations of biological effectors. Our main focus is establishing a new form of therapeutic drug monitoring.