We need female mice in neuroscience research
news.harvard.edu
news.harvard.edu
That model said COVID-19 could not, which we now know is entirely wrong. As it turns out, tuberculosis must travel deep into the lungs to produce an infection, which is not true for every pathogen.
It's important to check the assumptions underlying new research and make sure they really apply.
I'm not sure if that's the best way to put it. IIRC, the controversy was if COVID could spread through the air in the form of an aerosol or if it could only spread in the form of droplets. Droplets can't travel as far in the air, and their limitations were the basis of the "6ft social distancing" rules. It turns out COVID can spread as an aerosol, even though that was strongly denied during the early phases of the pandemic.
Male brains appeared to be wired front to back, with few connections bridging the two hemispheres. In females, the pathways criss-crossed between left and right. ... "
But you can't run the study to see if you could develop girls in similar ways. The amount of controls and isolation required to run the study properly is a bit inhumane. You'd need 24 hour control over everything that child learns and encounters.
So while the conclusions may be true, it's possible that it's not an inherent difference due to initial biology.
This wasn't accounted for in the earlier transsexual studies, because they were using subjects who were both homosexual and trans.
> For this purpose, we analyzed a sample of 24 cisgender men, 24 cisgender women, and 24 transgender women before gender-affirming hormone therapy. We employed a recently developed multivariate classifier that yields a continuous probabilistic (rather than a binary) estimate for brains to be male or female. The brains of transgender women ranged between cisgender men and cisgender women (albeit still closer to cisgender men), and the differences to both cisgender men and to cisgender women were significant (p = 0.016 and p < 0.001, respectively).
And why would they further show statistics by race rather than by brain size? Brain sizes affect the density of connections and proportions of white matter to grey matter, so comparing small-brained women and men to large-brained women and men would seem like an obvious thing to do if you have the data [edit: but this is obviously me just desperately looking for a control.]
Instead, I suspect they were fishing to find out some headline-grabbing result, hoping that (for example) black women were more masculine than white women, or Asian men were more feminine than white men.
On the mis-presentation and misinterpretation of gender-related data: The case of Ingalhalikar’s human connectome study
That’s quite a bomb to throw with zero evidence. Like, why does your mind even jump to that?
Isn't this quote mixing up two uses of "stable"? They stuck with male mice to be able to compare to other studies, not to reduce variability within the study (which should not be a goal in itself).
If this shows anything, it is that we know way too little about biological factors underlying behavior, and that variation in other factors (age is an obvious one, but there are also genes that affect this behavior) should be investigated too.
>Males also exhibited individuality of behavior, but they had more behavioral variation within a single mouse and between mice than females.
I get variation between mice, but is variation within a single mouse the range of behaviour?
If anyone still takes them more seriously than a mere hint, I can't see why they would criticize them for excluding females. This study at least doesn't show much difference, and many other factors are excluded anyway.
A few general thoughts she's expressed in the past:
(1) Research often dismisses the sexual cycles as insignificant or play it down significantly, then generalize behavior they observe during experiments... without controlling for cycles.
(2) Because of this I know she (and many others) will dismiss observational studies without replication.
(3) Studying females requires extra care -- experiments involving females, should measure the cycle of each mouse to keep a record
That creates extreme stress in both male and female mice, and stress is an important confounding factor in neuroscience and beyond. Grouping mice by sex in different cages is obviously incorrect - cage effect is a major factor in animal research.
Not sure how these problems are solved now - maybe there are statisticians in the audience who can shed some light on that.
> Grouping mice by sex in different cages is obviously incorrect - cage effect is a major factor in animal research.
What does this mean?
Cage 1: male1-control, male2-control, male3-treatment, male4-treatment Cage 2: female1-control, female2-control, female3-treatment, female4-treatment
and you see females responding to treatment better than males, what does that mean? It can be any of the following:
0: females respond differently to the treatment due to their biochemistry (say, some Y-chromosome gene is interfering with the treatment) 1: females respond differently to the treatment due to social effects (a male would respond to treatment but not in an environmnet where he has to compete with other males) 2: there is a cage effect (say, it is slighly warmer, or more light, or fresh breeze, or something else mice care about) that causes the animals in one cage to respond differently.
Only with the above setup, you cannot know which answer is correct.
Statisticians have a bunch of tricks to tackle some of the issues above. For example, you can crossover (swap cages after some time) or increase the number of cages and randomise across cage conditions (say, you have 20 cages, 10 all-male and 10 all-female, spread around the facility to cover the variability of the cage conditions). Still, you won't be able to distinguish between #0 and #1.
This is not really my area though, so I want a knowledgeble reader to forgive my ignorance. I am a simple bioinformatician who was never too deeply involved into this type of pre-clinical biostatistics. I'm sure someone on HN has an answer how to properly design experiments like that. My message was that it's a bit more complicated than just 'we need female mice in research' - and I saw way too many irresposible biologists sacrificing 100s of mice in experiments where a correct inference couldn't be made.
That being said, for both of these issues, grants should award more money to fund the expansion in research protocol. Expecting any change without additional resources doesn't help.
But more importantly, a lot of bad science is done while wasting away animal life. Regulatory bodies can at least do something to make it less cheap or harder to justify the use of animal models. Or at least ensure a higher standard of expectations for having used animal sacrifice.
So much nutritional studies have been done on animals and yet we know that different animals react totaly different to eg saturated fats and atherosclerosis.
Animals are a garbage proxy for anything human related.
That has a two-way relationship with biological factors, statistically at least, meaning it's not entirely social either.
https://www.psychologytoday.com/ie/blog/old-school-parenting...
[1] The WHO?: https://www.who.int/health-topics/gender
Actually, it's not. It's well known that medications can have different effects or different dosage requirements depending on menstrual cycle.
And if you drop out a drug candidate in animal trials because you don't account for genetic and hormonal gender as well as menstrual cycle, you can end up dropping prematurely.