Another Possible COVID-19 Treatment

The three components of blood (click for credit)
So far, there are no widely-accepted treatments for COVID-19. Hydroxychloroquine, often mixed with other things like azithromycin, was initially thought to be promising, but the data so far are inconclusive. While there are some indications that it is effective (and some physicians are convinced it works very well), the controlled studies that have been done so far see no significant benefit to its use. The antiviral drug remdesivir shows some promise, as does the corticosteroid drug dexamethasone. However, there are not enough data yet to make a firm decision on either of them.

Yesterday, President Trump held a press conference to announce a new possible treatment: convalescent plasma. Based on an analysis of several different studies, it seems to be the best candidate yet (in my non-medical-doctor opinion). I say this because of the kinds of studies that have been done. First, there have been three randomized clinical trials. This means patients were assigned to either get the treatment or not get the treatment based on random chance. The group that got the treatment was compared to the group that didn’t (called the control group). In the three studies, the death rate in the treatment group was half that of the control group. There were also five matched-control studies, where the treated patients were compared to a control group specifically selected to closely match them. The results of those studies were similar to those of the randomized clinical trials. There were also four case-series studies, where patients were given the treatment and their progress was tracked. While that kind of study has practical uses for physicians, its ability to determine the effectiveness of a treatment is extremely limited. However, the case-series studies seem to support the other two kinds of studies. All of the studies were done on patients with severe or life-threatening cases of COVID-19.

Taken all together, then, the treatment looks very promising. However, I do have to say that each study was very small, so even when all the patients were analyzed, the total number was only 804. Phase three clinical trials that determine whether or not a drug should be widely used typically involve a few thousand patients. Thus, this is still a limited data set. Also, many of the studies (as well as the analysis linked above) are not peer-reviewed. As a result, there could be major flaws that have not been noticed. A recent analysis (once again not peer reviewed) of more than 35,000 patients seems to support the small studies, but since it has no control group, it cannot be used to draw any real conclusions. Nevertheless, the FDA has approved emergency use of the treatment, and it is asking those who have recovered from the disease to help in determining whether or not it is truly effective.

How can someone who has recovered from COVID-19 help determine the effectiveness of the treatment? To understand that, you need to learn a bit about the wonderful mixture that is running through your circulatory system.

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Forbes Tells You Not To Think For Yourself

I have written about a couple of instances where Forbes has censored articles because they disagree with the “scientific consensus” (see here and here). As a result, it didn’t surprise me to find that they are now actively trying to discourage people from thinking for themselves. This discouragement comes in the form of a blog article written by Dr. Ethan Siegel, who holds an earned Ph.D. in astrophysics. It is entitled, “You Must Not ‘Do Your Own Research’ When It Comes To Science”.

Dr. Siegel believes that in order to assess any scientific statement, a person must have some expertise in the relevant field. Otherwise, the person’s “research” will only end up confirming what he or she already wants to believe. He writes:

It’s absolutely foolish to think that you, a non-expert who lacks the very scientific expertise necessary to evaluate the claims of experts, are going to do a better job than the actual, bona fide experts of separating truth from fiction or fraud. When we “do the research for ourselves,” we almost always wind up digging in deeper to our own knee-jerk positions, rather than deferring to the professional opinions of the consensus of experts.

He backs up this anti-science view by giving examples of how people deny the scientific consensus on issues like fluoridated drinking water, vaccination, and global warming (aka climate change). He then relates it all to the current pandemic. He says that rather than listening to the experts and obediently following whatever they tell you to do, some people are actually looking into the matter for themselves, and the results are devastating.

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Another Exciting Development in COVID-19 Prevention

AeroNabs could be delivered as a nasal spray. (click for credit)
Scientists are pursuing several different strategies to protect people from the virus that causes COVID-19, and a recent paper that hasn’t been peer reviewed reports on a strategy I haven’t seen before. It makes use of the fact that the virus starts the infection process by employing specific chemicals called spike proteins to bind to an enzyme (ACE2) in human cells. The idea is simple: Block the virus’s ability to bind to that enzyme, and it will be unable to start the infection process. But how can that be accomplished? In the paper, the researchers report on making a small molecule, called a nanobody, that binds to the spike proteins on the virus. Once the nanobody binds to them, the spike proteins can no longer bind to the ACE2 enzyme.

First found in alpacas, nanobodies are like antibodies, but they are smaller, simpler molecules. Because of that, they are easy to make and manipulate. Essentially, scientists can build a small gene that produces the nanobody, insert it into certain microorganisms, and let the microorganisms churn out the nanobodies. As a result, there have been many, many different kinds of nanobodies produced over the years. The researchers searched a database that contained more than two billion nanobody genes, and they found 21 that should be able to bind to the virus’s spike proteins in some way. They put those genes into yeast, extracted the nanobodies that were produced, and studied them.

Based on their analysis, they found the three most promising candidates and tested them against the virus itself. One of the nanobodies was particularly effective, so they focused on it. They mutated the gene multiple times to make slight changes to the nanobody and tested the result against the virus. They then produced a gene that could take the three most effective nanobodies and chain them together. The result was a chemical that basically shut down the virus’s ability to infect human cells.

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Why Are Children Less Susceptible to COVID-19?

Children make up less than 2% of all identified COVID-19 cases. This is unusual, since they make up 20-30% of influenza cases. Why is COVID-19 so much rarer in children? A study from the Icahn School of Medicine at Mount Sinai Hospital in New York might have found the answer. Cells found in the nose, lungs, veins, and other parts of the body sometimes have an enzyme called ACE2 in their membranes. The enzyme is important, because it can participate in a process that lowers blood pressure when necessary. Studies show that the virus which causes COVID-19 (SARS-CoV-2) attacks cells by attaching to that enzyme.

The researchers examined nasal tissue from people between the ages of 4 and 60. The tissue collection had already been done between 2015 and 2018 for a research study on asthma. The researchers specifically looked at how much the gene that makes ACE2 was expressed. The more the gene is expressed, the more ACE2 is made. They found that the youngest children expressed the gene the least, older children expressed it more, young adults even more, and older adults even more. Thus, the younger you are, the fewer ACE2 proteins in the cells that line your nasal cavity, so the fewer places the virus has from which to attack. As a result, the less likely you are to be infected.

Because of the nature of the original study for which the tissue was collected, nearly half of the people from whom the tissue came had asthma. Also, they didn’t have tissue from anyone over 60 years of age. Thus, the sample is not truly representative of the nation as a whole. Nevertheless, the results are very intriguing, and they seem to explain why this respiratory virus affects children differently from most common respiratory viruses.

Please DO NOT Get Your COVID-19 Information from Social Media!

So far, I have written three articles about how horrible social media is as a source of scientific information (see here, here, and here). Facebook might be a great way to find out what your friends are eating, but it is one of the worst places you can go to learn about science, especially the COVID-19 pandemic. That’s because lots of people (left, right, and center) have decided to politicize the pandemic, and the unscrupulous among them have transformed science from its true nature (a very imperfect mode of inquiry) into a weapon. Unfortunately, many people don’t recognize weaponized science, and as a result, they tend to share things that fit their political views, regardless of whether or not they are accurate.

Consider, for example, the statement shown above. I have seen it on my Facebook feed at least a dozen times. While the statement is factually accurate, it supports a false narrative. Yes, there have been roughly 4 million cases of COVID-19 in the U.S. so far, and there were estimated to be 60 million cases of H1N1 during the 2009 pandemic. So the H1N1 pandemic of 2009 was “worse” than the COVID-19 pandemic today. Therefore, all the precautions we are taking against COVID-19 (shutting down schools, wearing masks, etc.) are just a result of politicians trying to use the current pandemic to their advantage. Of course, that’s simply not true. The reason we are taking precautions against COVID-19 is that it is significantly more deadly than H1N1. Out of the estimated 60 million cases of H1N1 in 2009, there were only about 12,500 deaths. Out of the roughly 4 million cases of COVID-19, there have been almost 150,000 deaths. Since 15 times fewer cases have produced more than 10 times as many deaths, it is easy to understand why we are taking more precautions against this virus!

Just to give you one more example, yesterday I saw this statement on my Facebook feed:

The COVID-19 death rate without a vaccine is lower than the flu death rate with a vaccine.

As far as I can tell, there is no way you can massage the data to make that statement even factually correct. For the 2018-2019 flu season, there were estimated to be more than 35.5 million cases and 34,200 deaths. Once again, for the current COVID-19 pandemic, there have been roughly 9 times fewer cases, but about 5 times as many deaths.

Now please understand that I am certain the number of COVID-19 deaths are being overreported. But they aren’t being overreported to the point where you can conceivably compare this current pandemic with the H1N1 pandemic of 2009 or the seasonal flu. In the same way, I know that politicians are using this pandemic to their advantage, but that doesn’t mean it isn’t real and isn’t serious.

So when it comes to getting information about the pandemic, choose your sources wisely, and do not include social media on the list!

A Very Promising Possibility for COVID-19 Treatment

A person using an inhaler, which is the way the drug in the study is delivered (click for credit)

There are several drug treatments that are currently being investigated for COVID-19. However, of all the studies I have seen so far, this one looks the most promising. In the study, UK-based Synairgen chose 101 hospital patients and randomly assigned them to get a placebo or a chemical called “interferon beta,” a protein that has antiviral properties and is naturally produced by the human body. Both the placebo and the protein were administered through inhalers so that they ended up in the lungs. Over the roughly two-month study, patients getting the protein were 79% less likely to develop severe symptoms that required a ventilator. Also, while three of the patients who received the placebo died, none of those who received the protein died.

The study seems well designed. For example, patient ages were very similar. The placebo group’s average age was 56.5 years, while the protein group’s average age was 57.8 years. The difference is very small, but note that it favors the placebo group. In other words, since the patients getting the placebo were younger, they were automatically a bit less at risk than the protein group. In addition, the average amount of time the patients exhibited COVID-19 symptoms before getting the treatment was very similar, 9.8 days for the placebo group and 9.6 days for the protein group.

I do, however, see two potential problems. First, the number of patients in the study is small. As a result, they made a lot of other interesting observations, but they couldn’t determine whether those observations were the result of the protein or random chance. For example, the patients who received the protein were roughly twice as likely to recover within the two-month period than the ones who did not receive the protein. However, because the number of patients is so small, mathematics tells us it is possible that this result is caused by chance and not by a difference between the placebo and the protein.

The other problem, of course, is that this study was performed and reported by the pharmaceutical company that wants to produce and sell the drug. Initially, of course, this makes sense. Studies cost money, so the company that wants to make and sell the drug should spend the money to do the studies. However, before the drug can be approved for general use, there will need to be a larger study with independent analysis. I eagerly await that kind of study.

Can a COVID-19 Virus Communicate with Other COVID-19 Viruses?

I am writing this post because a reader asked me a question that I thought was very interesting and relates to a broader concept in biology. Before I answer her question, however, I want to make an important point about the virus that causes COVID-19 and how we should react to it. A few weeks ago, I gave the commencement address to a group of homeschoolers. Before I started my official remarks, I said this:

I am not going to say much about this virus, but I will say this: As a scientist, let me assure you that no one really knows what we should be doing. There are a lot of experts saying a lot of different things, and you should listen to all of them. Then, you should decide what works best for you and your family, and you should start doing it. But once you decide what you and your family should be doing, please please please show grace to those who choose to do something different. Since the experts can’t agree on a proper course of action, there is no reason to expect your neighbor to agree with your course of action.

I think that is the best way to approach this pandemic. The experts still can’t agree on exactly what to do because we just don’t know enough about this virus to make definitive choices. As a result of this ignorance, we must all muddle through this as best we can and realize that none of us has all the correct answers.

Now let me share my reader’s question:

Recently I came across a discussion online about quorum sensing in viruses. The initial topic had been the difference between groups meeting indoors verses outdoors, as many churches are now doing. I had never heard of quorum sensing before, so I did a little research, but I wondered if you would consider addressing this sometime. It sounds pretty fascinating to think viruses and such can actually monitor their environment.

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Another Peer-Reviewed Paper Favoring Intelligent Design

A figure from the paper being discussed, showing how a protein complex (left) can be converted to a graph (middle) to analyze how its parts relate to one another.

The more we learn about the universe, the more we see that it is a product of design. Indeed, for quite some time now, many scientists have recognized that the universe is finely-tuned for life. There are many parameters that govern how things happen in the universe, and they all have the characteristics of being just what they need to be for life to flourish. An electron, for example, is precisely as negative as the proton is positive, despite the fact that they are very, very different particles. If the charges were off by as little as one billionth of one percent, the resulting electrical imbalance in molecules would make even very small objects too unstable to form.1 The most obvious explanation for such fine-tuning is that the universe has been designed for life.

Now, of course, if you don’t want to believe that the universe is a product of design, you can offer any number of desperate alternatives. Perhaps we are just very fortunate. After all, if the universe weren’t designed for life, we wouldn’t be here to study it, so the very fact that we can discover these relationships tells us that the universe just happened to evolve into one that appears to be finely-tuned for life. You could also suggest that there are a ridiculously large number of universes out there. Most of them don’t have life, because they don’t have the proper parameters. However, if there are many, many universes, there’s a high likelihood that at least one will have all the right parameters, making it appear to be finely-tuned for life. You could also argue that there are actually a lot of combinations of parameters that might work for life; we just don’t know them. In that case, the universe’s apparent fine-tuning is an illusion.

While I think the scientific data clearly demonstrate that the universe is designed, I have always said that the most obvious case for design can be put forth by biology. Even the simplest life form on this planet is more complex and well-engineered than anything made by human technology, and most of the biological world makes our best inventions look positively crude by comparison. Well a reader (Victor Ferreira da Silva) sent me a paper in the secular, peer-reviewed literature that claims to have confirmed this fact.

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Dr. Fauci, Americans Believe Science, but They Don’t Believe Many Scientists (For Very Good Reasons).

Dr. Anthony S. Fauci, director of the National Institute of Allergy and Infectious Diseases (click for credit)
Dr. Anthony S. Fauci, director of the National Institute of Allergy and Infectious Diseases and one of the lead members of the White House Coronavirus Task Force was recently on the US Department of Health and Human Services’ podcast, which is called “The Learning Curve.” It exists so people can hear from experts in the department, learning what those experts are doing and what they think you should know. Obviously, Dr. Fauci was on to discuss the COVID-19 pandemic.

While some of what he said on the podcast was valuable, he made one statement that shows he is completely out of touch with most people in the United States:

One of the problems we face in the United States is that unfortunately, there is a combination of an anti-science bias that people are — for reasons that sometimes are, you know, inconceivable and not understandable — they just don’t believe science and they don’t believe authority…

Now, of course, you can always find people who don’t believe science for a variety of reasons. In my experience, however, they are few and far between. The majority of people in the United States hold science in very high regard. For example, Scientific American recently conducted a poll that found 90% of the people they surveyed wanted science to have a significant influence on society. An additional 7% wanted science to have some influence, which leaves a mere 3% that wanted science to have no influence at all. This is consistent with what I see around the nation. Most people believe science, some are skeptical, and very few think it has no value.

If people in the United States believe science, why does Dr. Fauci think they don’t? Because he is confusing science with scientists. As a scientist myself, let me put this very bluntly: In general, you can trust science. However, you cannot trust many scientists. Why do I say this? The Scientific American article linked above gives one reason: Many scientists have values that conflict with the majority of people in the United States, and those values affect how they interpret the science they know. For example, when a scientist doesn’t recognize that this world is a product of design, he or she will be led to all sorts of false conclusions. When the scientist communicates those false conclusions as if they are absolute fact, many reasonable people end up distrusting him or her.

But the Scientific American article linked above misses the more important reason people don’t trust scientists. It’s because scientists regularly make statements that they claim are absolutely true, but eventually, those statements are shown to be false. I highlighted a recent example a year ago. Visitors to Glacier National Park were told that computer models indicated the glaciers they are admiring will be gone by 2020. Well, it’s 2020, and the glaciers are still at the park. So what did the scientists do? Did they admit to their mistake? No. They quietly removed the signs, hoping the mistake would go unnoticed. In this day and age, however, such things rarely do.

The nonsense about the glaciers isn’t an isolated example. Time and time again, scientists make pronouncements and even take action based on ideas that they claim are absolutely true, but end up being utterly false. It was thought for a long time that the human appendix was a useless remnant of evolution. This silly notion was believed by surgeons, so many would remove the appendix from a patient having abdominal surgery, even if the appendix was entirely healthy. We now know that the appendix is an important lymphatic organ, and people without an appendix are more likely to have difficulty recovering from certain intestinal diseases. Tonsils are another example. It was once common practice to remove inflamed tonsils rather than treat the inflammation with medicine, because tonsils were supposed to be a leftover vestige of evolution. People who were unfortunate enough to be treated by someone who believed such nonsense (me, for example) are much more likely to suffer from respiratory, allergic, and infectious diseases. The fact that scientists routinely make definitive statements which are later shown to be wrong is so well-known that it is the subject of comedy routines.

In the end, scientists have themselves to blame when it comes to people not believing their pronouncements. They have betrayed the public trust too many times, because they have forgotten that by its very nature, science is tentative. Thus, it cannot be used to make grand pronouncements of absolute truth. Scientists have to realize that they are not priests. They are people who have expertise, but that expertise is based on a method of inquiry which routinely produces false conclusions. Rather than making grand pronouncements about the “truth,” they should show people the evidence and explain how they interpret the evidence. If they don’t communicate science that way, the public has no choice but to distrust them.

Did This Bird Go Extinct and Re-Evolve? I Doubt It.

A flightless Railbird on the Aldabra atoll in the Indian Ocean (click for credit)

Over the past few days, several people have sent me articles like this one, which makes a rather fantastic claim:

The Aldabra white-throated rail bird was declared extinct, a victim of rising sea levels almost 100,000 years ago.

However, the flightless brown bird has recently been spotted – leaving scientists scratching their heads as to how – and why – the species has come back to life.

What do you conclude from reading that? The article seems to be saying that no one had ever seen this bird before; it was only known from the fossil record. Now, however, living versions of it have been seen, and how they came back from extinction is a mystery. Unfortunately, like many “science news” stories, this one distorts the science to the point that it is deceptive and misleading.

The science that is being distorted comes from a study published last year. A responsible article that describes the study can be found here. While the study and the responsible article don’t distort the science, I do think the conclusion that they draw is not the only one consistent with the data.

Let’s start with the bird that is being discussed. It’s the Aldabra white-throated rail, whose scientific name is Dryolimnas [cuvieri] aldabranus. It lives on the Aldabra atoll in the Indian Ocean and is nearly identical to white-throated rails (Dryolimnas cuvieri) found in other parts of the world, like Madagascar. However, the ones on the Aldabra atoll cannot fly, while the others can. As a result, the flightless birds on the atoll are considered a subspecies of the version that can fly.

While we cannot say for sure, the generally-accepted origin story for the Aldabra white-throated rail is that normal white-throated rails landed on the atoll, and since there were no predators there, they stayed. Since they didn’t need to fly anymore, they evolved into flightless birds over several generations. This makes sense, because when a population of organisms doesn’t need a particular biological trait, mutations can degrade those traits without affecting survivability. In addition, DNA is so incredibly well-designed that over the course of generations, it can “turn off” genes that are no longer used in order to save energy. As a result, it makes sense that these flightless birds are descendants from birds that could originally fly.

Why do these articles discuss the birds being extinct at one point? Because the authors of the scientific study looked at the fossil record of the atoll. Using scientifically-irresponisble dating methods, they came to the conclusion that the atoll was completely underwater about 140,000 years ago. When they looked at fossils they interpreted to be older than 140,000 years, they found two bones that seem identical to the corresponding bones in the Aldabra white-throated rails that currently live on the atoll. Thus, they conclude that these flightless birds lived on the atoll before it went completely underwater.

Well, since the birds couldn’t fly, the authors assume that they all died when the atoll was underwater. However, in fossils that they interpret as being deposited after ocean levels decreased and the atoll was no longer underwater, they found another bone that looks similar to the corresponding bones in white-throated rails that can fly. However, it is heavier and more robust than what is found in those birds, but still lighter than what is found in the flightless Aldabra white-throated rails. In other words, it seems to be “in between” the bone of a normal white-throated rail and a flightless white-throated rail. To them, that gives “irrefutable evidence” (their words) that the Aldabra white-throated rails evolved twice: once before the atoll went underwater, and once after.

While their interpretation of the evidence makes sense and is consistent with all the known data, their case is certainly not “irrefutable.” First, you have to assume that they are interpreting the fossil record correctly. There is a lot of evidence to indicate the earth isn’t anywhere close to 140,000 years old, and if that evidence is correct, then their entire explanation is wrong. Also, even if the earth is as old as these scientists want to believe, the authors’ explanation is not the only one consistent with the data. We know that flightless animals can move from place to place on floating mats of vegetation. This is called “rafting,” and it is used by both evolutionists and creationists to explain the worldwide distribution of certain animals. If the atoll flooded like the authors think, the flightless birds could have survived by rafting. What about that one bone that is “in between” the two subspecies? There are natural variations in all bones. A “more robust” bone from a normal white-throated rail can be explained by natural variation within a population of normal white-throated rails.

The main reason I am writing about this is not to argue with the authors. It’s to point out the deceptiveness of articles like the one I quoted at the beginning of the post. As I have said many times before, do not believe the things you read in the popular press when it comes to science. Most “science journalists” are profoundly ill-equipped to understand science, and usually quite poor journalists as well.