Just accepted: Blood gene expression and immune cell subtypes associated with COPD exacerbations. @ATSBlueEditor #COPD #RNAseq https://t.co/la4pQS0Xvw (1/11)

Universal healthcare, lack of pennies and sorry 🤣 Happy Canada Day to my fellow Canadians @tinaafshar_ @arunijha @AndrewHalayko @PascoeCD @PollutionLab @ryan_d_huff @ACYYuen

📢Join our team to explore the fascinating intersection of Precision Nutrition, Network Science, and Machine Learning in next-gen drug discovery and scalable public health interventions! 🌱🧪I am hiring a postdoc to tackle these beautiful challenges together. 👇Apply now!👇

A #single-cell atlas of the human #lungs, integrating data from 2.4 million cells from 486 individuals and including samples from healthy and diseased lungs, provides a roadmap for generating organ-scale cell atlases. @SikkemaLisa @MDLuecken @fabian_theis https://t.co/jDRxJdcssL

Fascinating AI methodology combined with big data for nutrition study can pave the way to use #nutrition for understanding and interventions. Love your work @menicgiulia

Four years of peer reviewing has taught me this: 'flawed study design' = rejection.  Let's conquer this.  Time to craft a strong methods section.

More systematic approach to peer review would help us be more efficient and reduce potential biases. Also, I’ve found double blinded review also interesting concept and helpful.

Thank you for highlighting our work @RachelSKelly4

I want to thank my mentor @Craig_hersh and give special thanks to our team at Channing Division of Network Medicine @BrighamWomens

We thank the COPDGene, ECLIPSE, and SPIROMICS participants, physicians, investigators and staff for making this research possible. Information about the studies and how to access COPDGene and SPIROMICS data are available at https://t.co/m5Es8tdlyG and https://t.co/JuPvGZhpix.

Conclusions: Individuals with COPD having lower circulating lymphocytes, particularly decreased CD4+ T cells, are more susceptible to AE-COPD, including persistent exacerbations. (11/11)

We also performed flow cytometry analyses in a multi-center immune profiling study in a large prospective COPD cohort (#SPIROMICS). We found that lower circulating T lymphocytes (but more activated) was associated with an increased risk of exacerbation. (10/11)

We validated our findings in another large COPD study with blood transcriptomic data and rich exacerbation measures (ECLIPSE). We leveraged data from ⬇️ seminal COPD exacerbation study. https://t.co/md2HBZVWZm (9/11)

We also found cell-type-specific gene expression in neutrophils (TLR2) and CD4+ T-lymphocyte (B3GALT2, BTLA, CCR6, ZBTB25) associated with prospective exacerbation. (8/11)

Using the ML classification algorithm (#CIBERSORTx) on our data, we identified several immune cell subtypes (T lymphocyte populations) associated with exacerbations. Specifically, lower circulating CD4+ subpopulations were linked to an increased risk of exacerbation. (7/11)

Here is my notion page, where you can download an HTML summary to explore the genes associated with exacerbation. https://t.co/pxrQBqtYjU (6/11)

We found that blood gene expression patterns differed in research participants who experienced exacerbations than those who did not. Many of these genes were linked to increased exacerbation risk. (5/11)

We conducted whole-blood transcriptomic analyses in over 3000 individuals who were followed for over 5 years (#COPDGene study). (4/11)

Our goal was to leverage large omics data to understand the exacerbation-susceptible endotype of COPD better. In other words, can we use big data to know why some people are more prone to COPD flare-ups? (3/11)

COPD flare-ups, also known as exacerbations, are episodes of a worsening of symptoms in patients with chronic obstructive pulmonary disease (COPD). Exacerbations can be serious and may require hospitalization, so it is important to understand the causes and risk factors. (2/11)