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Reposted by Matt Fillingim

Dr. Rachel Zoffness @drzoffness.bsky.social · 14/05/2025

🔥 Most important paper I've read all year🔥 👉 Injury/disease doesn't reliably predict pain 👉 Biomarkers alone can't explain pain 👉 PSYCHOSOCIAL factors reliably determine chronic pain 👉 Painful conditions can be predicted from the SYNERGY btwn bio + psychosocial factors www.nature.com/articles/s41...

nature.com

Biological markers and psychosocial factors predict chronic pain conditions - Nature Human Behaviour

Fillingim et al. show that biological and psychosocial factors jointly predict conditions associated with chronic pain.

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Matt Fillingim @mfilling.bsky.social · 12/05/2025

Adding psychosocial context dramatically improved prediction accuracy across all pain phenotypes. 🧬 + 📋 = 🔍 This synergy paints a richer picture of pain vulnerability and brings us closer to personalized pain care.

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Matt Fillingim @mfilling.bsky.social · 12/05/2025

We created biomarker and psychosocial risk scores and grouped participants into quintiles. Those high on both risks had over 2× higher incidence of painful conditions over 15 years, while those high on just one showed little to no added risk.

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Matt Fillingim @mfilling.bsky.social · 12/05/2025

Biomarkers alone accurately predicted many painful medical conditions, often outperforming psychosocial models. But for self-reported pain, biology wasn’t enough, psychosocial models performed significantly better.

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Matt Fillingim @mfilling.bsky.social · 12/05/2025

We then compared the biological models to psychosocial models spanning mental health, physical well-being, and sociodemographic factors.

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Matt Fillingim @mfilling.bsky.social · 12/05/2025

We applied machine learning to four biological data types:🩸blood assays, 🦴bone scans, 🧠brain imaging, and 🧬genetics, to develop biomarkers for conditions like arthritis or migraine, as well as self-reported bodily pain.

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Matt Fillingim @mfilling.bsky.social · 12/05/2025

We asked: Can combining biological and psychosocial information improve prediction of chronic pain conditions? Spoiler: Yes, significantly.

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Matt Fillingim @mfilling.bsky.social · 12/05/2025

Thrilled to share our new paper in Nature Human Behaviour! nature.com/articles/s41... We show that combining biological 🧬 and psychosocial 📋 data offers a much stronger, more reliable path to predicting pain and diagnosis. 🧵

nature.com

Biological markers and psychosocial factors predict chronic pain conditions - Nature Human Behaviour

Fillingim et al. show that biological and psychosocial factors jointly predict conditions associated with chronic pain.

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Reposted by Matt Fillingim

Étienne Vachon-Presseau @evp82.bsky.social · 12/05/2025

Our new @NatureHumBehav paper shows why we need a holistic pain biomarker framework. ML on blood tests, brain/bone imaging & genetics predicts clinical diagnoses but falls short on subjective pain. Adding psychosocial (mood, sleep, stress) boosts both. shorturl.at/vxxeO

shorturl.at

Biological markers and psychosocial factors predict chronic pain conditions - Nature Human Behaviour

Fillingim et al. show that biological and psychosocial factors jointly predict conditions associated with chronic pain.

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