Marcie Glicksman: People use this term ‘translational medicine’ very broadly, but it’s one of the reasons why I went into the world of drug discovery. Translational medicine is the foundation of science combined with technology for the purpose of better medicine.
There is room for improvement at every stage in drug development. Starting with the clinical stage, finding a patient population can be a huge issue i.e. trying to find biomarkers that define patient populations.
Medicine is not based on mechanisms but on the symptoms. Consequently we have a lot of drugs that alleviate symptoms, which is a step in the right direction, but we’re not curing any diseases.
MG: It can depend on the disease – for example, you have enzyme replacement therapies that can make sense for a bottom-up approach. I like a top-down approach, as it is our purpose to cure or ameliorate diseases so we can understand what is an appropriate approach. As a researcher, having conversations with clinicians at an early stage is good as you are not always aware of the issues that plague patients, and so if you can provide something to address this issue, it can be important for the patient – so that’s why I do like the top-down approach..
MG: When I started working with stem cells, eight or nine years ago, I was very hopeful that they would replace animal studies. There have been various studies surrounding cardiotoxicity and liver toxicity in which stem cells may eventually provide better models. Also in terms of predicting patient response, if you can have patient cells which you can test and see they respond, then maybe they can be more predictive than animal models.
Animal models are useful from a target-engagement standpoint, and potentially a dosing standpoint, if you take into account species differences etc… But there are a lot of logistical differences. If you look at rodents for example, their brains are very different and much smaller than humans’. Non-human primates have a complexity to their brain but their brains and body sizes are a lot smaller.
For CNS delivery, we’ve been using sheep. I don’t have the evidence yet, but I think in some ways, sheep could be a better model than non-human primates.They have more cerebrospinal fluid, they have a brain closer to the size of a human’s and body weight which is closer to a human.
I also think we have got a lot better in terms of predicting toxicity – a lot of drugs fail because they’re not efficacious but they’re completely safe.
MG: Cells have a natural affinity for each other- our tissues are formed by our cells creating junctions between each other, as they like to adhere. You can create 3D cultures by creating an environment where culture media are moving, whether this be in multi-well plates or in mini-spinner flasks- you can form them pretty easily.
3D cultures are a lot closer to the physiological state, and so far, a lot of people have been comparing 3D to 2D cultures. One of the roundtables I had at a recent Proventa event involved people who had been using 3D cultures, and sharing how their stem cells had grown and differentiated better in 3D than 2D.
The scientific community is, however, still defining these cultures. If the 3D sphere becomes too large, the cells on the inside can’t be supported by the nutrients and tend to die. So working out how to handle and optimise these cultures is being developed, and how to assay them. Some people have said in order to assay them, they have to break them apart and place them on plates – so, first we need to have assays that can support a 3D format.
MG: We’ll see, maybe it will be combined with 3D cultures. In terms of modelling the brain, some people have performed 3D cultures and have seen advantages over 2D. Everybody needs to keep in mind that these are models – and depending on what you want to model, some technologies will be more relevant than others.
Will we ever recreate the human brain or whole body? Unlikely. I definitely think people are using it as a model and applying it. In terms of approval, the FDA will want to see a lot in the form of validation before it is accepted.
Charlotte Di Salvo, Lead Medical Writer
PharmaFeatures
Dive deep into next-generation analytics with bleeding-edge insights from Evan Floden, Seqera’s CEO.
Learn more about CEllular Thermal Shift Assay and Pelago Bioscience’s initiative to streamline drug discovery with its revolutionary invention.
Amidst the deluge of data, finding the right balance between working models and useful insights remains pivotal in forging the path towards leveraging computational success in the field of biotech and pharma.
Despite advances, key gaps in understanding insulin resistance persist, including CNS diagnostics, brain-periphery interactions, and apoE isoform roles, highlighting critical research priorities for new treatments.
GAS1’s discovery represents a beacon of hope in the fight against metastatic disease.
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Cookie settings