Scientists found genetic mutations in every astronaut blood sample they studied
futurism.com
futurism.com
https://www.newswise.com/articles/researchers-find-spaceflig...
https://www.nature.com/articles/s42003-022-03777-z.pdf
OP - and HN readers in general - please consider not submitting the first article you find on an interesting topic. Follow the links back and submit the best version you can find. You do not owe the clickbait outlet any sort of reward just because they promoted a bit of interesting news onto your radar. If there weren't so much clickbait, quality news would stand out much more easily.
Science writers, maybe you want to inform the public by making information simple and accessible to a general audience. That's good. But if you just give them factoids and don't include any scientific reasoning (like a comparison to the baseline, or noting the absence of one) then you're just selling sugary snacks that are not really very nutritious.
So much this. I took a break from some news websites a few years back, when I recently visited one of them, I was sad to see that many front page news articles had clickbait titles.
But posting plain studies directly to non-industry forums is often not ideal. The studies are not written for a general audience and rely on jargon, shorthand, assumptions, and shared education that general audience readers are at least as likely to misinterpret as professional science writers.
We like to beat up on science writers for writing poor and misrepresentative coverage of research, but are you sure a bunch of random (and often compulsively contrarian) intellectuals trying to earn internet points are an improvement?
The best of both worlds is probably to find the best coverage, and then add the study in a comment.
I think there's an argument to be made that, regardless the specific subject of discussion, a forum like HN is not a "general" audience and can appreciate content that hasn't been watered down for the general masses.
But every example of that I've seen has essentially been blogspam that is better covered by primary sources instead. I really wish he'd reconsider.
[0] "If they'd cover it on TV news, it's probably off-topic." https://news.ycombinator.com/newsguidelines.html
Keep in mind:
It can take practice to get good at it.
People who are handicapped, distracted, short of sleep etc may try to do so and simply not get it right.
If you don't have the time to try to do this, you can just not submit it rather than tossing click bait at HN.
This paper is a prime example.
You seem to be reacting to this article, which is a popular summary of the findings. I don’t even think it’s a misleading article—it conveys the qualitative conclusion (elevated rates of nonstandard mutations), and answers to the questions you posed are available in the full scientific study…
https://www.nature.com/articles/s42003-022-03777-z.pdf
This is the closest thing I can find to a reference to a control in the first two paragraphs. The figures also suggest they did not have a control, so the use of the phrase “elevated rates” is baseless:
> Considering baseline genetic and extrinsic variability, the development of tools that permit the assessment of individual genetic susceptibility would improve risk stratification and long-term clinical management.
If funded, that still wouldn’t be a reasonable control.
Maybe I’m missing a key sentence or something, but I’ve read the paper, and it seems to boil down to:
“Mutations are bad, and this expensive piece of equipment measures mutations, so we stuck expensive astronaut blood in it, and the gauge pointed to a non-zero number”.
> Variants (SNP/ InDel) generated with this method were compared with a normal dataset using Archer’s analysis pipeline to distinguish noise from a true call. The normal dataset was created with sequencing data from seven young, healthy individuals.
> in this astronaut cohort (median age 44 years, range 37–67),
I'd like to see also a comparison with 7 normal persons with ~45 years old. How many mutations is the expected value for a ~45 years old person?
https://www.enzymatics.com/news/archer-analysis-pipeline-upd...
They filtered the results with various p-values < 0.01. Their supplementary data:
https://www.nature.com/articles/s42003-022-03777-z#Sec9
doesn't say how many samples the machine produced in the first place, but it does say the filter resulted in 35 hits. That tells us absolutely nothing about the rate of mutations in the astronauts vs the general population, or even if astronauts produce more novel mutations on average vs. the general population.
On top of that, they seem to have the data to answer these questions, but don't report it anywhere:
Do zero-mission astronauts also show a "true call" in Archer's analysis pipeline?
They ran multiple samples from the same astronauts (before and after missions). On average, does the same astronaut have more/more-novel mutations after each mission?
These would require additional experiments or data, but seem obvious to check:
Do they have unusually high or low numbers of mutations vs. the general population at the same age?
If so, grouping the general population sample, what other professions also show a "true call" according to the pipeline?
And I would argue that the article (not paper) does _not_ convey the qualitative conclusion of elevated rates of nonstandard mutations, because it doesn't reference the baseline at all! It doesn't even present it as a comparison, like "We found MORE mutations in astronauts than would be expected of non-astronauts" - it literally just phrases it as "We found mutations in astronauts", which, considering that non-astronauts are exposed to radiation and get cancer + epigenetic mutations as well, doesn't differentiate it from the normal expected observation.
This is an observational study, and you may be analyzing it as a designed one. There was no randomization, no large scale matched control group per se—that wasn’t the intention. The intention is to analyze a specific population, and compare it to the existing literature on prevalence of mutations. That’s how these things are done, you have to use the citations given to understand the broader context of a study. One study is not useful on its own.
Also, there’s this—they did hypothesis tests against a control group:
> Variants (SNP/ InDel) generated with this method were compared with a normal dataset using Archer’s analysis pipeline to distinguish noise from a true call. The normal dataset was created with sequencing data from seven young, healthy individuals.
I'm also not criticizing the study, I'm criticizing the article and your defense of it. If "you have to use the citations given to understand the broader context of the study" - then if the point of a pop sci article is to effectively communicate the salience of the paper to lay audience, then that broader context needs to be communicated too.
To put it concretely, if the chance of a random gene mutation is 10^-4 to 10^-6 per gene per generation, and there are 37 trillion cells in a human body, each cell containing about 20k genes, (all numbers from quick google searches) then the odds of having NO genetic mutations occur in your body in one day would be (forgive my back of the envelope math, assuming a generation is 20 years): (1 - 10^-6)**(37 trillion * 20000 / 365 / 20). My calculator can't keep enough precision to make this nonzero. i.e., everyone has genetic mutations constantly which makes the title of the article completely uninformative.
Germinal cells reproduce very slowly, so the eggs and sperm have fewer mutations.
Also, cells inside the guts have some cascade method. The cells near the wall reproduce very seldom, but the intermediate cells reproduce faster, and the inner cells reproduce even faster. The inner cells that are reproducing fast die or get washed away, so the big number of possible mutations is removed. And the slow reproducing cells near the wall create more cells to replace the intermediate cells that replace the inner cells.
>Overall, further longitudinal studies are required to characterize CH and somatic mutational profiles in the context of space flight-associated stressors and their associated clinical impact. To date, there is no evidence of relevant CVD, cancer, or neurodegenerative diagnoses associated with this given astronaut cohort (current median age 62.5 years (IQR 60–67)). The lack of longitudinal samples from these same astronauts limits the assessment of clone stability, pathogenic potential, and prognostic value
But that the value of their report is in demonstrating the possibility of using stored archival blood samples in future studies:
>Thus, this study serves to address the feasibility of using bio-banked astronaut samples and demonstrate the importance of collaborations between NASA’s Human Research Program, Translational Research Institute for Space Health, Space Biology Program, NASA’s clinical support teams and corre- sponding data and biorepository branches,
Unfortunately, though, people far and wide are inevitably going to use this paper as evidence that space travel causes leukemia...
It's a bad example. Mutations are known to cause various health problems like cancer. It's like randomly writing to the RAM, live: maybe you won't crash the computer immediately, but keep trying and you'll do damages.
The fact there's "no evidence of relevant CVD, cancer, or neurodegenerative diagnoses associated with this given astronaut cohort" shouldn't be surprising, given that astronauts are finely selected for perfect health among a large pool of candidate.
It's like saying "it's totally ok to do drugs or performance enhancer when you're a sports professional player" - no, they will eventually degrade the pro player health too!
Compared to a random person, it might just show later, as they have more of a health capital.
> Unfortunately, though, people far and wide are inevitably going to use this paper as evidence that space travel causes leukemia...
Given everything we know, yes it should, among other things - just like writing to RAM should eventually crash a computer
To address this, the study compares the number of mutations found in the astronauts with the number found in a broader population with mean age of 58 yrs. Notably, they do not conclude that more mutations were found in the astronauts.
I'll point you to the two seminal papers in the field of CH though if you are interested. These were published back-to-back in the same issue of NEJM in 2014 (interestingly from separate competing groups at Harvard).
https://www.nejm.org/doi/full/10.1056/nejmoa1408617 https://www.nejm.org/doi/full/10.1056/nejmoa1409405
Methodology is given towards the end of the paper. In particular: "Variants [...] were compared with a normal dataset [...] created with sequencing data from seven young, healthy individuals."
The full experiment, using old samples that degrade also, looks badly designed to point to a predefined desired answer. It somehow ended in Nature, probably because "authority appeal"
Astronauts (aged 37–67) compared to "seven young, healthy individuals."
I'm guessing that the mutation danger is because space is just full of radiation that various layers around the earth give us partial protection from. So what can be done in a hypothetical spacecraft to get the same level of protection?
If we want to send people to Mars, or live in large numbers in space, these are fundamental problems to solve.
https://en.wikipedia.org/wiki/Radiotrophic_fungus
I'd like to think that in this universe the best spacecraft asymptotically approach being a mushroom
Now if we could breed them to also somehow produce usable fuel as a means of energy storage...
>We identified 34 nonsynonymous SNVs in 17 known CHdriver genes, of which TP53 and DNMT3A were the most frequent. Notably, clone size was small, ranging from 0.10% to 0.95% VAF, and thus did not achieve the technical threshold to be considered as CHIP
and
>Due to the lack of longitudinal samples and small sample size, conclusions regarding the implications of observed lesions remain limited, and further studies are required to assess the penetrance of these clones.
Is that how the rest of you read this, especially those of you who are more expert?
I didn’t have the sense there was a value judgement (more/less severe), so much as that CHIP is “typical” mutation seen in the wider population, associated with aging (itself a fascinating field of research), whereas something novel / nonstandard is causing CH mutations (space?? That’s the implication).
On sample size, I read it as “this is interesting preliminary work that is surprisingly robust for the sample we have, and thus intrinsically notable.” But the passage you cite and the surrounding discussion indicates that this is far from conclusive—it’s a promising / interesting direction for more research to find out what’s the “there” there, if anything.
These things _could_ be coincidental, but such a high rate of consistency is strong signal to investigate further. This paper propagates that surprising result, which is also a unique analysis because of the lack of data the authors acknowledge. Without publishing this, others would have no access to even this preliminary finding.
The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight https://www.science.org/doi/10.1126/science.aau8650
NASA Twins Study Confirms Preliminary Findings https://www.nasa.gov/feature/nasa-twins-study-confirms-preli...
In seriousness, we can come up with lots of out-there scenarios. But this finding is intrinsically interesting enough to warrant discussion, critique, and further analysis.
Your critiques aren’t a failure of the system, or a “dunk” on the scientific establishment. This open, democratic dialogue is _the entire point of the scientific publication process._
Being skeptical is required to get to reality. Do we really know if the storage procedures/ thawing procedures can't have a side effect of mutations on the samples? We are still learning too much about the epigenetics and we already know low temperatures can have adverse effects on tissues. So I just voiced my idea on this.
And the reason you'll never see it in random frozen samples from 20 years ago is that your cells have to be alive for it to happen, and those ones aren't.
This isn’t the “gotcha” you think it is.
Mostly directionally from the Sun. Reflected radiation comes from the reflection surface. Cosmic background from dark sky (which isn’t all directions if you’re near a blocking body).
That said, the point of these studies is to measure how much damage which kinds of radiation cause. So short answer, we’re not sure. (But probably the Sun.)
Now I'm wondering, if you go from the space ship, say 1000 km into the direction of the Sun, and then somehow apply a very small force to the radiation, would it be possible to make the radiation go past the space ship?
For charged particles, yes. This is how the earth’s magnetic field [1] protects us.
[1] https://en.m.wikipedia.org/wiki/Earth%27s_magnetic_field#Mag...
1. Trapped protons and neutrons in the Van Allen radiation belts. The ISS is well below the first Van Allen belt but it is really a continuous spectrum with peaks and valleys. For example there is the South Atlantic Anomaly where the inner radiation belt dips lower and flying through this region exposes you to more radiation. This is the fairly distributed radiation source
2. The sun. Solar storms, coronal mass ejections, all of these increase radiation. Although these may not be facing the sun as much as you might think. The radiation bends around the magnetic field of the earth so this often affects things closer to the poles of the Earth (and causes the Auroras) and spacecraft in high inclination orbits.
3. Galactic Cosmic Rays (GCRs). These are from far off events like supernovae or black holes but are really high energy. So direction is generally "from the galactic disk" but that is a pretty wide direction
4. Bremsstrahlung. This is basically radiation caused when one charged particle deflecting/slowing down another particle. The interaction causes some radiation (usually in the form of X-rays, or gamma rays if you get something coming in real hot) but basically comes out as the vector component of how the particle was deflected so it can be from a number of directions. https://en.wikipedia.org/wiki/Bremsstrahlung#In_astrophysics
I guess jellyfish, urchins meet the rotational symmetry though.
The oceans are not a low gravity environment, and gravity is no less when floating in water. Depending on the density of the water and the object that is floating, it is buoyancy that causes floating in water. Gravity works the same on the floater and the water.
And we could correctly assume gravity is essential for life, as without gravity, not even the Earth would not revolve around the Sun, let alone whatever it is that life is supposed to form on in low gravity, and we know that light is essential for life.
It's also an open question whether it formed on Earth at all or came here from elsewhere.
So there is no answer to your question as yet. Or at least there's no scientific consensus on one.
People constantly act as if science and technology is flawless in execution, but in reality it rarely is.
There is also space radiation and other factors that can easily affect bio organisms, without any way of knowing what happened here on earth. COmpared to the ideals of Star Trek, we are still vastly primitive in terms of understanding space... Makes me kinda sad how much safety needs to be risked just to explore the outer bounds.
> We obtained de-identified whole blood samples from 14 astronauts who flew relatively short Space Shuttle missions (median 12 days) between 1998–2001. These samples were stored at −80°C for ~20 years. Blood samples were collected 10 days before flight, the day of landing, and 3 days after landing12. However, for this specific study, only samples from 3 days after landing (R + 3) were collected as buffy coats (peripheral blood mononuclear cells - PBMCs).
One of the issues here is of the biased sample set. To say that astronauts are drawn from a small pool is a severe understatement. All astronauts from the stated era have,
- High IQs
- Absence of obvious psychopathologies
- Extremely high stress tolerance
- Faster (than the median) reaction times well into middle age
- Usually within 3SD for M/F height, falling between 5' to 6'2 (6'4 at most)
- High educational attainment
And they've all done, - Scuba diving (sometimes including extended stays as aquanauts)
- Pilot training (even if you're a scientist astronaut, they'll teach you how to fly, [edit - as Walter points out flight hours equal radiation exposure and NASA astronauts usually have to maintain a minimum of 180 hours per year to retain their flight status])
- *At least* one sport where they've risked their life
- Undergone wilderness survival training, including a "hell week" of some sort, somewhere along the line
- Experienced near drowning (part of training) and other similar stressors
- (frequently but not always) Been a part of the military, including exposure to pollutants that we now know are carcinogenic or harmful.
Additionally, during this period, unless they were an international astronaut, - They would eat similar foods, from the same places
- Live in close proximity to each other
- Grow up in roughly similar environments (though split between urban/rural environments)
Of course, not all of these factors will impact their DNA, but the selection and similar life experiences creates a unique problem. Until we send more people up, we won't have enough data to say how space travel impacts and mutates us.Something might survive and thrive in space of course if it were properly designed for that.
Whether or not outer space scrambles your genes, we know for sure that we've scrambled several astronauts and nearly scrambled several more.
I politely but firmly ask that we stop scrambling people to appease people who misplace their sense of wonder. Even if they volunteer to be scrambled.
So "scientists" stored DNA for 20 years and then decided to take a closer look? Better than nothing, but not by much.
https://www.genome.gov/about-genomics/fact-sheets/DNA-Sequen...
What I mean to say is this is an accepted practice in many labs, including ones I have worked in. In my experience, these were old tumor cells stored in LN2. Sources include: https://link.springer.com/article/10.1007/BF01131376