GregoryLab

Our lab are interested in understanding the non-motor manifestations of motor neuron disease including cognition and the gut-brain axis.

[Target ALS @TargetALS_fdn]

At our Annual Meeting, Dr. Jenna Gregory shared how her team is bringing oncology-style precision to ALS—studying how T cells behave differently with #ALS. Her findings, through research we fund, offer clues for better treatment. Sign up to learn more: https://t.co/cIsItEAG1S

[Prof Jenna Gregory @jennagregory488]

#ENCALS2025 in Turin is over, but we’ve had an amazing time presenting our team’s (@GregoryLab7) work as posters and oral presentations. A wonderful demonstration of the excellent translational neuroscience research going on @aberdeenuni. Can’t wait for Madrid next year! ⭐️🤩⭐️

[Prof Jenna Gregory @jennagregory488]

@GregoryLab7 will be in Turin next week for #ENCALS2025 🇮🇹⭐️🤓
Interested in biomarkers for early disease detection (precision prevention) and treatment stratification (precision medicine) in ALS/FTD? Come and find us in the session detailed below. @FergalWaldron @HollySneuro

[Fergal Waldron @FergalWaldron]

In our new preprint we report improved detection of TDP-43 in non-CNS tissues prior to symptom onset in #ALS #MND, using an RNA aptamer– from peripheral organs including skin, GI tract and lymph node, between 1-14 years prior to clinical diagnosis.

https://t.co/cVRd6mO13B

[Holly Spence @HollySneuro]

There is still time to register for #BNA2025.
Be sure not to miss our symposium highlighting UK MND translational research.
Thanks to @MNDScotland, @MNDoddie5 & @mndassoc for organising a great session.

[Prof Jenna Gregory @jennagregory488]

Take a look at our recent Lancet Neurology review. Amyotrophic lateral sclerosis caused by TARDBP mutations: https://t.co/yXkRg4ePPe

It’s been a huge privilege working with this incredible writing team and we hope you enjoy reading it.
⭐️🤩🤓🤩⭐️

[Hornstein Lab @HornsteinLab]

Excited to share our preprint: "𝐎𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐨𝐦𝐢𝐜𝐬: 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐝𝐞𝐞𝐩 𝐨𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐚𝐫 𝐩𝐡𝐞𝐧𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐫𝐞𝐯𝐞𝐚𝐥𝐬 𝐧𝐨𝐯𝐞𝐥 𝐀𝐋𝐒 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬 𝐢𝐧 𝐡𝐮𝐦𝐚𝐧 𝐧𝐞𝐮𝐫𝐨𝐧𝐬"

[Scientific Reports @SciReports]

Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models @GregoryLab7
https://t.co/4N45XyThJr

[Prof Jenna Gregory @jennagregory488]

Our team (@GregoryLab7, @HollySneuro & @FergalWaldron) is delighted to share some recent work from machine learning expert @MV_Research. It’s always a pleasure to contribute to collaborative projects especially with Marta and her incredible team.
https://t.co/DLVr5dhjlp.

[MND Scotland @MNDScotland]

MND Scotland expresses gratitude to the female researchers contributing to our understanding of MND and enhancing the quality of life for those affected. Some have received funding from us, while others are part of our Scientific Advisory Panel 💙 #WomenInScienceDay #WomenInSTEM

[Fergal Waldron @FergalWaldron]

Fantastic work lead by Holly Spence @HollySneuro - happy to have contributed!

[Prof Jenna Gregory @jennagregory488]

⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐
Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔

[Holly Spence @HollySneuro]

⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐
(1/4) Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔
https://t.co/O5LM5QD4x7

[Holly Spence @HollySneuro]

(4/4) Here, we demonstrate how routine, inexpensive medical testing & local authority initiatives could help to identify and protect at-risk individuals. This work was supported by generous funding from @NIH @CSO_Scotland @TargetALS_fdn @wellcometrust 🤓
https://t.co/O5LM5QD4x7

[Holly Spence @HollySneuro]

(3/4) The most predictive risk factors of individual cognitive dysfunction out of >450 features evaluated in our deeply phenotyped cohort were:
💭Low and high haemoglobin levels
💭Pollutants typical of vehicle emissions
💭Region specific brain volumes
https://t.co/O5LM5QD4x7

[Holly Spence @HollySneuro]

(2/4) Here, we use a machine learning approach to identify predictors of poor cognition in a deeply phenotyped @genscot cohort of 324 individuals – we assess >450 environmental, social, and biometric risk factors, and their impact on cognitive health.
https://t.co/O5LM5QD4x7

[GregoryLab @GregoryLab7]

⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐
Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔

[Holly Spence @HollySneuro]

⭐️New preprint - Machine learning identifies predictors of cognitive dysfunction⭐
(1/4) Population-level risk factors exist for dementia & related neurodegenerative diseases – how do these relate to individual risk? 🤔
https://t.co/O5LM5QD4x7

[Prof Jenna Gregory @jennagregory488]

So lucky to work with such an amazing team of hard working scientists. Here’s a snapshot of our year in review from the Gregory Lab (and friends) - working hard towards our dream of a world where we can beat #ALS #MND

[UoA Medicine, Medical Sciences and Nutrition @AbdnLifeScience]

Research highlight for 2024: Dr Jenna Gregory's team found new ways to detect MND.

The TDP-43 aptamer can show early signs of the disease in brain tissue samples before the cells malfunction when standard symptoms would start to appear.

Read more here: https://t.co/ucyM8SmZ7D

[Fergal Waldron @FergalWaldron]

#ALS/#MND Precision-prevention concepts:
💭Perspectives>Learning from cancer
💭Detection>Before motor symptoms arise
💭Precision>Understanding individual’s risk factors & heterogenous disease manifestations is key
💭Prevention>Safe interventions & early triage to clinical trials