Evidence map›Paper›PMID 39371139›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Gut-Brain Nexus: Mapping Multi-Modal Links to Neurodegeneration at Biobank Scale.

Mohammad Shafieinouri, Samantha Hong, Artur Schuh, Mary B Makarious, Rodrigo Sandon, Paul Suhwan Lee, Emily Simmonds, Hirotaka Iwaki, Gracelyn Hill, Cornelis Blauwendraat and 10 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Mohammad ShafieinouriCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Samantha HongCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.ORCID 0009-0001-8968-6461
Artur SchuhDepartamento de Farmacologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID 0000-0002-8722-0908
Mary B MakariousCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.ORCID 0000-0002-7978-1051
Rodrigo SandonCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Paul Suhwan LeeCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Emily SimmondsUK Dementia Research Institute (UK DRI) at Cardiff University, Cardiff, UK.
Hirotaka IwakiCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Gracelyn HillCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Cornelis BlauwendraatCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Valentina Escott-PriceUK Dementia Research Institute (UK DRI) at Cardiff University, Cardiff, UK.ORCID 0000-0003-1784-5483
Yue A QiCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Alastair J NoyceCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.
Armando Reyes-PalomaresDepartment of Molecular Biology and Biochemistry, Faculty of Sciences, University of Málaga, Málaga, Spain.
Hampton L LeonardCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Malu TanseyDepartment of Neuroscience, Center for Translational Research in Neurodegenerative Disease, University of Florida College of Medicine, Gainesville, FL, USA.
Andrew SingletonCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Mike A NallsCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Kristin S LevineCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.
Sara Bandres-CigaCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA 20892.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) and Parkinson's disease (PD) are influenced by genetic and environmental factors. Using data from UK Biobank, SAIL Biobank, and FinnGen, we conducted an unbiased, population-scale study to: 1) Investigate how 155 endocrine, nutritional, metabolic, and digestive system disorders are associated with AD and PD risk prior to their diagnosis, considering known genetic influences; 2) Assess plasma biomarkers' specificity for AD or PD in individuals with these conditions; 3) Develop a multi-modal classification model integrating genetics, proteomics, and clinical data relevant to conditions affecting the gut-brain axis. Our findings show that certain disorders elevate AD and PD risk before AD and PD diagnosis including: insulin and non-insulin dependent diabetes mellitus, noninfective gastro-enteritis and colitis, functional intestinal disorders, and bacterial intestinal infections, among others. Polygenic risk scores revealed lower genetic predisposition to AD and PD in individuals with co-occurring disorders in the study categories, underscoring the importance of regulating the gut-brain axis to potentially prevent or delay the onset of neurodegenerative diseases. The proteomic profile of AD/PD cases was influenced by comorbid endocrine, nutritional, metabolic, and digestive systems conditions. Importantly, we developed multi-modal prediction models integrating clinical, genetic, proteomic and demographic data, the combination of which performs better than any single paradigm approach in disease classification. This work aims to illuminate the intricate interplay between various physiological factors involved in the gut-brain axis and the development of AD and PD, providing a multifactorial systemic understanding that goes beyond traditional approaches. Further, we have developed an interactive resource for the scientific community [https://gut-brain-nexus.streamlit.app/] where researchers can investigate components of the predictive model and can investigate feature effects on a sample level.

Identifiers

PMID39371139
PMCPMC11451806

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.