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Cake day: June 13th, 2023

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  • I think that @saccharomyces@mander.xyz provided a great response for the specific case of flow in a pipe.

    I just want to add that if you look beyond the restrictions of flow in a pipe, there are many other types of behavior that non-Newtonian fluids exhibit. We measure this in the lab on instruments called rheometers. Basically, we put some liquid in the instrument and then deform it and measure the resistance to that deformation. One of the most common ways to apply that deformation is to do so back and forth in an oscillating manner. Depending on the frequency at which you apply this strain, the solid/liquid-like behavior can change. If you have some background in physics or want to get a decent understanding, I found this paper that, on skimming it, seems to be pretty consistent with the way I was taught this stuff in grad school.

    One graph I want to point out is Figure 13 which shows what would be a “typical” viscoelastic polymer solution. An easy way to understand this graph is that as we go from left to right, we are applying strain back and forth quicker and quicker, essentially shaking it faster. When the G’ value is higher than the G" value, then the material is behaving more like a solid and conversely, when G" > G’, then it is behaving more like a liquid. You can see that the material goes through different phases of behavior as the strain frequency changes. Just for you I went and dug up an old graph from my thesis to show a real-life example of this happening too.

    My favorite demonstration of this is to put Oobleck (or something similar) onto a speaker and then change the frequency and see what happens.








  • That is true. Vertex claims that some of the follow-up therapies to this do not require immunosuppressants, so time will tell.

    From a strategic perspective, I wonder if they will proceed with Phase 3 or not. I have worked on several programs in the past where we pushed through to Phase 2 to get a proof of concept in humans before scrapping the program because we have a better version of the molecule (using the same mechanism of action) getting ready right behind it. This therapy from Vertex may have proven the concept to allow a better version to come next.




  • That’s fair. I couldn’t find much info on their website, so I assumed this was another make insulin cheap using “biohacking” deal. I don’t have any experience with small molecule synthesis or dry powder manufacturing, so I can’t really speak to how feasible this may be. However, having seen first-hand all the ways simple manufacturing steps can go wrong, the risk of consuming a medication that hasn’t been through rigorous QA/QC makes me very wary.


  • Apologies for the long post. I don’t mean this as an attack on OP, just trying to illustrate why actually doing this is a bad idea.

    I have seen efforts like this in the past, especially centered around efforts to manufacture insulin cheaply. While I get that medicine cost and availability is broken at a fundamental level in the US, the solution is a political one rather than to run a wildcat bioreactor. There is simply no way to safely manufacture biologics using a 3d printed bioreactor. Let’s look at the manufacturing process to get an idea of why.

    Staring with the bioreactor, you would need some way to sterilize it before use (not just sanitize, there’s a difference). There are plastic bioreactors that are used in industry, but they are large, single-use bags that are sterilized using gamma or x-ray radiation. Most industry bioreactors are made of stainless steel to withstand the harsh treatment required to re-sterilize them (steam or hydrogen peroxide).

    Moving down the chain from the bioreactor, you need some way to remove your product from the harvested liquid. This is usually done through lysing the cells you have grown and then running this lysate through a series of chromatography columns of varying types (affinity, ionic, etc.) to systematically remove all the junk left over from your cellular media and the cells you have lysed. Even if you could (unsafely) grow your cells and drug in a 3d printed bioreactor, you don’t have these kinds of things at home and can’t just get them from Amazon.

    However, let’s say that you could get past the purification step, what’s next? You find yourself with a large volume of very dilute medicine suspended in a chromatography buffer. The next step is what is called UF/DF, or ultra-filtration/dia-filtration. This step, paradoxically done DF first, uses filter membranes and large amounts of buffer and some pressure to first swap out the buffer that your medicine is in to the target formulation that you want to inject and then concentrate it down to a manageable volume. If you are working at small scale, then you can probably replace this step with just one filter and a centrifuge. Remember that while you are doing all this, everything that comes into contact with your drug needs to be sterile (even the air).

    I think I have made my point, but for actual drugs there are more steps beyond this. Post-UF/DF is what is referred to as drug substance (DS) in the industry. You still need to go through a sterile fill-finish process to get drug product (DP) that is what is actually given to a patient. If you really want, I can go on another long tirade here since this is the step my job focuses on.

    I have worked on these manufacturing processes and seen them fail a lot for very hard to catch problems. Without all the in-process controls and testing we do, there would have been serious risks of giving bad DP to patients. If you have read this far, then I hope I’ve convinced you not to give this kind of thing a try.

    The real problem this is trying to solve is a political one. We should be advocating for better access to medications and reforming how costs are dealt with. It doesn’t matter what your political persuasion is, I think everyone agrees healthcare in the US is broken and it’s time something is done about it.





  • wjs018@beehaw.orgtoScience@beehaw.orgmRNA Vaccine Science
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    1 year ago

    It hopefully should. One of the main reasons biologics are so expensive isn’t just corporate greed (though it is that too), but because the manufacturing process is very intense. Running bioreactors at commercial scale to make your product, using a train of chromatography steps to purify it, and then filtering it to be concentrated and sterile before fill/finish in a pre-filled syringe or vial followed sometimes by lyophilization is an insanely complicated process that is very costly. mRNA processes simplify this a lot in that the mRNA don’t need to be manufactured using bioreactors that are filled with dirty cellular flotsam and jetsam that need removed. So, the production and purification parts are much much simpler. It still isn’t likely to be cheap, as GMP manufacturing is still complex and the fill/finish part of the operations are largely unchanged, but hopefully cheaper.





  • I commented this in a different thread on this news story, but this approval in an interesting one in that it has been approved using the accelerated approval pathway because there was an unmet clinical need. However, if you look at the clinical landscape, there are other options for treatment (also from Sarepta I should mention). Additionally, the interim clinical data showed protein expression which is what the FDA cited in their approval, however that interim data did not show significant positive clinical benefit. From PBS:

    FDA scientists detailed a long list of concerns with the company’s research, particularly a mid-stage study that the company submitted for FDA review. Overall, it failed to show that boys who received the therapy performed significantly better on measures like standing, walking and climbing than those who got a dummy treatment

    Accelerated approval pathways make sense in many cases they are used, however, the agency should beware allowing accelerated approval being abused by drugmakers to get a drug to market quickly and then slow-walk the post-approval obligations (which are usually very expensive phase 3 studies). Being too liberal with accelerated approvals incentivizes questionably efficacious therapies that are simply used as a profit tool before the data shows the full extent of their clinical impact.

    I recently posted an opinion piece that talks about this in some more detail and provided some additional thoughts in that thread. I am not a specialist when it comes to regulatory practices or strategy, but simply a scientist in the field that is concerned about potential abuse of a regulatory mechanism that has the potential to cause harm to patients.


  • wjs018@beehaw.orgtoScience@beehaw.orgmRNA Vaccine Science
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    1 year ago

    I work in this field and this is a great summary of mRNA and its therapeutic usage. The article does mention it, but mRNA is going to be widely used beyond vaccines as well.

    As an example, at a previous company I worked at that had a robust pipeline and a portfolio of antibodies on the market, they were actively developing an mRNA-LNP version of all of their mAb programs. The idea is that if you develop an LNP platform that can reproducibly transfect say, the liver, then you can just turn the liver into a protein factory for anything you provide the mRNA sequence for. Having mAbs produced and excreted in the body solves one of the big challenges to convenient biologics dosing, bioavailability. Basically, a lot of antibodies, when injected under the skin, have trouble making it from the injection site to your bloodstream. This can be solved by administering via IV, but that has many downsides when it comes to patient convenience.

    The reason vaccines are the first successful application of this technology is because they only require very small doses to be effective. Compare the amount of protein that is in a flu shot (60 micrograms in Fluzone at most) to a typical mAb (~150 mg up to 1 g at most), you can see how much less the vaccine requires. I fully expect that as the upstream and downstream processes for LNP manufacture improve and are able to scale, that we will see mRNA take over what is currently the realm of biologics.










  • Great article summarizing the BBB. The brain is one of the highest priority targets for biologics therapeutics (viral & non-viral gene therapies, antibodies, peptides, etc.) and one of the most difficult to access via traditional routes of administration (IV, subcutaneous). I have worked on programs in the past that tried to access the brain via other administration methods (intrathecal, intraparenchymal), but both of these are quite invasive and lead to adverse events purely from the procedure. Engineering ways to cross the BBB would open up a huge number of potential therapeutic options for neurological disorders.

    One of the other high priority targets that is difficult to access is the eye/retina. It has a similar set of biological barriers that prevent access to sensitive areas that are medically desired. If you want more reading on the eye, see this paper.


  • I think that fMRI is just beginning to realize its potential. It is such a powerful technique to image the brain, that as we improve the technique and can see more, we will learn more. I like to make the analogy that modern imaging techniques (MRI, microscopy, PET, etc.) have done at least as much to expand human knowledge as the more widely known (within the general public) telescopes (Hubble, JWST, etc.).

    One thing that I like about this approach is that it is looking at the brain as a complex system rather than trying to ID and characterize individual neurons. From the article:

    Neuroscience has traditionally focused on interactions between neurons to understand brain function. There is a growing area of science looking at larger processes within the brain to help us understand its mysteries.

    This reminds me of my statistical mechanics course when I was in grad school. You can study individual particles all you want, but when you get a large number of them, things change. One oxygen molecule behaves differently than a room full of air just like a single neuron behaves differently than a head filled with a brain. The path of neuroscience is following a similar trajectory physics did in that it could make sense of things at the individual scale, but working with large numbers of interactions is harder and requires more complex experiments/theories/models to deal with.