New report that CHIP (clonal hematopoiesis of indeterminate potential, blood stem cell clones that increase with age) is an independent risk factor for myocarditis and pericarditis, promoting inflammation #ESC2025
@jama.com

jamanetwork.com/journals/jam...

Check out our latest review on clonal hematopoiesis🩸🧬 and cardiovascular disease 💔 now out in @natrevcardiol.bsky.social

www.nature.com/articles/s41...

Full text link: rdcu.be/ef9VW

@mgbresearch.bsky.social @mgbwomenheart.bsky.social

So so incredibly proud of 🇧🇪’s finest @artschuermans.bsky.social for this incredibly well-deserved recognition as the @ukbiobank.bsky.social Early Career Researcher of the Year for 2024! ⭐️ Lots of high-impact work so quickly - and lots more to come

CC @broadinstitute.org @pnatarajanmd.bsky.social

HUGE congrats to @artschuermans.bsky.social for winning the 2024 @ukbiobank.bsky.social Early Career Researcher of the Year Award!!
Wonderful and bright visiting medical student with @mchonig.bsky.social & me @broadinstitute.org / MGH!!

The power of proteomics
Predicting cardiovascular outcomes
www.nature.com/articles/s44...

Thanks very much, @ekoikonomou.bsky.social!

Excited to share our latest in Nature Cardiovascular Research
led by ⭐️ @artschuermans.bsky.social ! #CardioSky #MedSky

Open access paper here: www.nature.com/articles/s44...

Great thread from Art below 👇

Huge thanks to everyone involved, especially co-first author Ashley Pournamdari and mentors suprêmes
@mchonig.bsky.social and @pnatarajanmd.bsky.social, as well as @broadinstitute.org, @jimjanuzzi.bsky.social, @zhiyu.bsky.social, and everyone else who isn't on Bluesky (yet)!

These results were externally verified in the Women's Health Initiative, corroborating the notion that circulating proteins can significantly improve the prediction of different heart diseases (9/x)

Lastly, we constructed and tested protein-based prediction models for all four cardiac conditions under study.

For CAD, HF, and AF, proteomic models were associated with increments in AUC-ROC ranging from 0.02 to 0.06. There was no significant improvement for AS (8/x)

Moving back to the traditional epidemiological analyses, we also identified some proteins with evidence for between-sex differences (7/x)

Proteogenomic analyses - including MR and colocalization analyses - prioritized a subset of identified proteins (~4%) as therapeutic targets.

Examples with strong evidence include ADM and SPON1 for AF and SPINT1 for CAD (6/x)

Approximately 60% of identified proteins were associated with more than one cardiac disease; however, we also identified biomarkers specific to one condition.

Similarly, enrichment analyses identified several shared and distinct protein pathways for the four diseases (5/x)

Primary analyses - using multivariable-adjusted Cox regression models and time-varying covariates - identified 820 Bonferroni-significant protein-disease associations.

NT-proBNP, GDF15, and WFDC2 were among the top hits (4/x)

Using data from 44,313 participants from the
UK Biobank, we tested the associations of 1,459 circulating proteins with these four cardiac diseases (3/x)

Cardiac diseases such as coronary artery disease (CAD), heart failure (HF), atrial fibrillation (AF), and aortic stenosis (AS) account for the majority of cardiac deaths.

Yet, underlying mechanisms not captured by traditional risk factors remain incompletely understood (2/x)

What does the circulating proteome teach us about common heart diseases?

Thrilled to share our analysis identifying new biomarkers, drug targets, and prediction models for these conditions.

Mentored (supremely) by @mchonig.bsky.social and @pnatarajanmd.bsky.social nature.com/articles/s44... (1/x)

Maria Pabon of BWH cardiology presenting her work on biomarkers in 🤰 and postpartum cardiometabolic trajectories at #AHA24 #cardioobstetrics #cardiosky #medsky

Despite similar performance at the population level, different coronary heart disease polygenic risk scores produced highly variable individual-level risk estimates. #AHA24

https://ja.ma/3YTigyp

Great YIA presentation by ⭐️ Kelvin Supriami at #AHA24 of our data integrating @MGHHeartHealth cor angio data + Lp(a)

Very ⬆️ Lp(a) (>=175 nmol/L) associated w/ repeat angiography, ISR, revasc, & mortality after cath, + need for PCI after CABG, indept of baseline athero burden

#CardioSky #MedSky

On my way to my first (!?) #AHA24 🫀 @ahascience.bsky.social

I’m feeling a little less overwhelmed knowing lots of @pnatarajanmd.bsky.social lab members will be there! Check out all of the cool work our lab has been working on 👇👀