Top 10 most downloaded articles in 2020 includes our review in the @AnnualReviews Virology - “Seasonality of Respiratory Viral Infections” by @MiyuMoriyama et al! It’s free to download:

Here let’s highlight other relevant pieces on the same topic (1/n)
Just to recap, seasonal factors that drive respiratory tract viral infections are mainly these three;

1) ⬇️ Temperature
2) ⬇️ Humidity (esp. indoor)
3) ⬇️ Sunlight/Vitamin D

A twitter thread that demonstrates the importance of humidity on antiviral defense through mucociliary clearance measured by @Ericsongg. (3/n)

A related OpEd I was fortunate to coauthor with @linseymarr and @j_g_allen on fighting COVID with humidity.(4/n)…
An awesome tweetorial by @linseymarr of how humidity impacts biological decay of airborne viruses. (5/n)

A great animation that explains how humidity fights against viral transmission and infection by @EdsardRavelli. (6/n)

An elegant in vivo study demonstrating evidence for vitamin D3 supplementation in enhancing antiviral immunity in older adults by @Emma_S_Chambers & colleagues. (7/n)

A computer simulation comparing viral spread at 10% vs. 60% relative humidity. 後半に日本語のコメンタリーあり。Love the bgm 🎶 (8/n).

I also recommend this very cool hypothesis piece by @anice_lowen and Peter Palese on the “Transmission of influenza virus in temperate zones is predominantly by aerosol, in the tropics by contact” (9/n)…
In my lab, it all began with a study by the awesome @ellenfoxman in which she showed that cooler temperature dampens innate antiviral immune defense.…

Great write up by @carlzimmer in 2015. (10/n)…
Now I have to go get dinner ready. If anyone wants to add more resources to this thread on how seasonal factors influence respiratory viral infections, that would be great! Thank you 🙏🏼 (end)

• • •

Missing some Tweet in this thread? You can try to force a refresh

Keep Current with Prof. Akiko Iwasaki

Prof. Akiko Iwasaki Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!


Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @VirusesImmunity

10 Jan
What is the relevance of viral load in #COVID19 disease severity? A very talented @YaleMSTP student @SilvaJ_C found that saliva viral load to be a better predictor of disease than nasopharyngeal viral load. Here is a thread to explain the findings. (1/n)…
I preface by saying that numerous fantastic studies by many have demonstrated nasopharyngeal viral load to correlate with disease severity and mortality, while others do not find such correlation. Here are some of these studies. (2/n)
Being at @yale, the birthplace of #SalivaDirect and everything saliva bc of awesome colleagues like @awyllie13 @NathanGrubaugh @VogelsChantal et al, we had access to both saliva and nasopharyngeal (NP) samples from the same patients to do direct comparisons. (3/n)
Read 13 tweets
1 Jan
My first tweet of 2021 is going to be about 1 dose vs. 2 dose vaccine. I have tweeted in the past of the immunological advantages of a 2 dose vaccine. However, given the enhanced transmission variants on the rise, we need a modified strategy. (1/n)…
We typically give vaccines in more than one dose to increase 1) quantity, 2) quality, 3) longevity of antibody responses. This holds true for most vaccines including mRNA vaccines. Here is what I tweeted about this before. (2/n)

However, the 2 dose vaccine with limited number of vaccine means only half the people getting vaccinated at this time. If the virus is spreading slowly, we want to do the right thing and give the most vulnerable 2 doses and others to wait. (3/n)
Read 11 tweets
30 Dec 20
Inspired by this tweet by @TheMenacheryLab, I reached out to the wonderful colleagues at the @serimmune to see if the other mutations found in the B.1.1.7 variant would evade antibody responses generated by the wild type #SARSCOV2. (1/n)
According to this report, B.1.1.7 harbors non-synonymous mutations in the following viral genes, resulting in truncation, deletions and amino acid changes. Would these mutations result in evasion from antibodies generated by wild type virus? (2/n)…
To probe this possibility, @serimmune used their technology platform based on bacterial display peptide libraries, next generation sequencing & machine learning to reveal antibody reactivity against WT and B.1.1.7 viral antigens. (3/n)
Read 11 tweets
26 Dec 20
What aspects of antibody responses determine the outcome of #COVID19? In this new preprint by @carolilucas @sneakyvirus1 et al., we found that the early timing of antibody response (before 14 days of symptom) in infected person is key to recovery. (1/n)…
As others have shown, we found that antibody levels from COVID patients correlated with disease severity.……

However, patients with lethal COVID did not have the highest level of anti-S or anti-RBD antibodies. What’s going on? (2/n)
To understand better the features of antibody responses in patients who died vs. survived, we compared their time course. We found a delay in antibody responses in lethal disease. We also noted patients with very high neutralizing Ab (HN) with very early antiviral Abs. (3/n)
Read 11 tweets
12 Dec 20
New exciting collaboration work with @Aaronmring lab reveals diverse and functional autoantibodies in #COVID patients.

Our findings provide clues for why COVID affects many organs, induce range of symptoms that are long lasting.

Thread (1/n)…
How do we look for autoantibodies against a wide range of self antigens? The @aaronmring lab developed a high-throughput autoantibody discovery technique called Rapid Extracellular Antigen Profiling (REAP) against 2,770 extracellular and secreted proteins "exoproteome" 💪🏼 (2/n)
A large fraction of #COVID patients had autoantibodies to multiple self antigens. The more severe the disease, more autoantibodies they had.(3/n)
Read 14 tweets
5 Dec 20
Here is a thread to explain the findings of this study, that used computational tools to predict T cell reactive sequences in #SARSCOV2 subunit vaccines.

The bottom line: there is no cause for alarm.

Here is why (1/n)
Our adaptive immune system has 2 types of white blood cells known as lymphocytes. T cells and B cells. These lymphocytes give us protection from wide variety of pathogens. Each lymphocyte has unique receptor that detect specific features of a pathogen. (2/n)
B cells detect pathogens structures through antibodies. T cells cannot detect pathogens on their own. They can only “see” pathogen when tiny pieces of viral proteins (peptides) are presented by molecules called major histocompatibility complex (MHC). (3/n)
Read 12 tweets

Did Thread Reader help you today?

Support us! We are indie developers!

This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Too expensive? Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal Become our Patreon

Thank you for your support!

Follow Us on Twitter!