Matthew Wipperman

Translational science at @Regeneron. Tweets and views my own.

[Matthew Wipperman @junkRNA]

Congrats @davidjglassMD!! This was excellent and I really enjoyed it.

[David J Glass MD @davidjglassMD]

Below is a non-serious statement, and an example as to why the Aging field is at risk of being pulled into a vat of snake oil.

[nature @Nature]

Nature research paper: Diet outperforms microbial transplant to drive microbiome recovery in mice.

https://t.co/hx9TFkvFGZ

[Will Ahmed @willahmed]

NEW WHOOP RESEARCH ON EXERCISE & SLEEP

I am proud to share that @WHOOP research has just been published in @Nature. Our study analyzed 4.3 million nights of sleep across ~15k WHOOP members to answer a simple but important question: does working out at night hurt your sleep?

[Eric Topol @EricTopol]

How gut microbiome research needs to move forward. Going multi-omics, getting to causality, rigorous clinical studies https://t.co/bv5giMUDVF

[Jonathan Haidt @JonHaidt]

My 2022 "Uniquely Stupid" article is back on @TheAtlantic's most popular list. It's about how morally homogeneous institutions became "structurally stupid" after social media made it easy for the extremes to attack and silence moderates and dissenters:
https://t.co/sC6NJIppSH

[Matthew Wipperman @junkRNA]

@davidjglassMD Let’s talk!!

[npj Digital Medicine @npjDigitalMed]

This study from @ScrippsRTI examined wearable data like step count, resting heart rate, & sleep to track changes in people with + without #LongCovid over a year.

Those with Long #Covid_19 had significantly different resting heart rate & activity levels. They were also more likely to be women, younger, unvaccinated, & report more acute-phase symptoms.

https://t.co/9FyaFfQd8k

[npj Digital Medicine @npjDigitalMed]

Wearables let us study how #sleep differs between or within people. With 5 million nights of data, @varunknath et al. found that changes in sleep over time are associated with acute & chronic conditions inc. COVID-19, fever, flu, #diabetes & sleep apnea.

https://t.co/4ppbkst6YM

[Eric Topol @EricTopol]

Predicting Parkinson's disease up to 7 years before symptom onset with a panel of 8 protein biomarkers
@NatureComms
https://t.co/o45moWqixv
(adds/orthogonal to the retina image that can do this well)

[Matthew Wipperman @junkRNA]

Walk this way https://t.co/DW1ERMppFa

[npj Digital Medicine @npjDigitalMed]

This perspective discusses how a convergence of progress by patients, advocates, developers, regulators & other stakeholders is driving real progress towards enabling more digital evidence tools to be used for decision making in #drugdevelopment.

https://t.co/HuRk9pLs4e

[Sam Stuart @samstuart87]

New Article in @eLife - Digital wearable insole-based identification of knee arthropathies and gait signatures using machine learning

@junkRNA @Regeneron @MoticonScience

@ISPGR @esmac2019 #digitalbiomarkers #digitalhealth #gait #walking #mobility

https://t.co/1WkoUrzbEm

[Allergy EAACI @AllergyEaaci]

Open Access: Differential modulation of allergic rhinitis nasal transcriptome by dupilumab and allergy immunotherapy. First and corresponding author: Matthew F. Wipperman; corresponding authors: Jennifer Hamilton and Meagan P. O'Brien

Read the article here: https://t.co/WJ92vHIpj6

This study aimed to understand the pathobiology of allergic rhinitis (AR) by analysing transcriptome data from nasal brushing samples of individuals with and without AR, and those undergoing different treatments. The study evaluated how treatments, including #dupilumab, subcutaneous immunotherapy (SCIT), and a combination of both, versus placebo, influenced AR and allergen challenge specific gene signatures in nasal tissue. Results showed that both dupilumab and SCIT+dupilumab significantly repressed the AR disease signature, and all three treatments repressed the nasal allergen challenge (NAC) gene signature.

#Allergy_journal @junkRNA
Read more articles published in #Allergy on #rhinitis here: https://t.co/klNnL3PtAX

[npj Digital Medicine @npjDigitalMed]

Your weekend read editorial: Discussing the importance of shifting the focus towards clinically relevant outcomes, when adopting #ArtificialIntelligence tools, the ecosystem required for AI to succeed in health, & the human aspect of #healthcare.

https://t.co/cnggEZo54o

[Steven Salzberg 💙💛 @StevenSalzberg1]

How many genes are in the human genome? (The third in an irregular series of threads about #Bioinformatics.) Let’s start by restricting “gene” to mean “protein-coding gene.” For the moment, this number appears to be just under 20,000, far lower than it used to be 1/11

[Jonathan Pritchard @jkpritch]

This also makes a great case for preprinting -- a high-impact paper will get a lot of eyes on it before it gets published in a fancy weekly magazine.

[Daniel MacArthur @dgmacarthur]

It's a shame that this is drawing attention away from the incredible accomplishments of the @AllofUsResearch program in building a massive, diverse cohort that will fuel decades of important research.

[Matthew Wipperman @junkRNA]

New paper from @Regeneron about #allergy #biomarkers in @AllergyEaaci! Differential modulation of allergic rhinitis nasal transcriptome by #dupilumab and allergy immunotherapy.

#immunology #sciencetomedicine

https://t.co/rNYtGQjAko

[Science Translational Medicine @ScienceTM]

Commensal bacteria in the gut #microbiome display surprising resilience to #antibiotics, evolve resistance mutations, and reestablish a healthy biome after treatment, shows a 20-month long study of patients with #tuberculosis. @BucciVanni @MichaelGlickma1 https://t.co/rIWW1vYbcE