From the outset of the #covid19 pandemic, it's been clear that risk of death increases sharply with age. But why? The intuitive hypothesis is that ACE2 expr. increases w/ age, but early in April, @sinabooeshaghi and I showed the opposite is true in mice. biorxiv.org/content/10.110…
Now, in a paper from the labs of @tuuliel and Christenson, @silvakasela et al. have performed a careful analysis in human, and they find the same.
BTW we saw the same patterns for ACE2 expression with sex in mice, namely males had *lower* levels of ACE2, and @silvakasela et al. find the same in humans despite the risk of death being much *higher* for males.
A person's age is the strongest predictor of their risk of death from #covid19, yet despite a lot of work the past 6 months, the reason why remains a mystery. There are lots of hypotheses floating about but I have not seen a convincing explanation. nature.com/articles/d4158…
Specifically, there does not appear to be a single threshold age where risk suddenly increases. There is a continuum of (super-linear) higher risk with age. In my mind explaining this is a key research question, and I'd be curious to hear if anyone knows of credible work on this.
Linking to this thread which already branched off an earlier tweet:
In @NobelPrize news, the 2013 chemistry laureate links to a thread that says NIAID is "reminding people of their importance" right now because of a "vested interest" in maintaining high levels of @NIH funding, funding which they do not deserve.
Trump was administered REGN-COV2 by compassionate use request. "...this type of compassionate use..is..intended for patients with serious or life-threatening conditions who do not have any viable or available treatment options..." investor.regeneron.com/static-files/f…
The only published evidence on effectiveness of REGN-COV2 so far is a preprint that showed "REGN-COV2 reduced the amount of virus and associated damage in the lungs of non-human primates." It was tested in rhsesus macaques and hamsters. biorxiv.org/content/10.110…
A recent descriptive analysis of the ongoing trial shows "..a 0.51 log10 copies/mL greater reduction (p=0.0049) in patients treated with high dose, & a 0.23 log10 copies/mL greater reduction (p= 0.20) in patients treated with low dose, compared to placebo" investor.regeneron.com/news-releases/…
In response to criticism of the lack of any women on the recent @numpy_team paper, the authors have floated a narrative that this is the result of "societal constraints", and meager origins of the project. The truth does not abide.
Let's start with a bit of history. NumPy has its origins in code developed in the 1990s, with the first official version released by Travis Oliphant (@teoliphant) in 2006. Kudos to him for an important effort; NumPy has had a huge impact on scientific software. 2/
However the idea that all the developers were men because of "societal constraints", that there just weren’t any interested women, and that they’ve always wanted to work with women but just couldn’t because they were not funded... that's just baloney. 3/
Does diversity matter? It sure does. Just one consequence: by shutting out women, the SciPy team arguably bears considerable responsibility for driving women to R. 3/ reshamas.github.io/why-women-are-…
So yesterday I received reviews back for one of my papers. The paper received 6 (yes, 6!) reviews. This has never happened before in my career. I was surprised at the number of reviews, given the pandemic and how busy everyone is. Then saw this... 🤔
The reviews were thorough and helpful, and generally positive (some comments were very positive). I was therefore disappointed with the decision (reject). I guess we'll revise the paper and submit elsewhere.
But then the paper will have been reviewed >= 9 times (!) And that is quite something... because the paper has a total of 9 paragraphs... If you do the math, that's 1 reviewer per paragraph...
California state mandated #COVID19 thresholds for schools to open are not readily available on county and state websites. To help parents stay updated, @sinabooeshaghi, working with @IngileifBryndis and me, made these continuously updated plots: github.com/pachterlab/COV…
The thresholds are from @GavinNewsom "Blueprint for a Safer Economy".
We've included a plot displaying data for the previous school opening requirements (14 days totaling 200 cases per 100,000 for TK-6th and 100 cases per 100,000 for high schools).