OSCR

Circulatory dietary and gut-derived metabolites predict early cognitive decline.

Overview

  1. Norwich Medical School, Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, United Kingdom
  2. Institute of Dentistry, Faculty of Medicine & Dentistry, Queen Mary University of London, Blizard Institute, London, United Kingdom
Institutions: University of East Anglia (United Kingdom); Queen Mary University of London (United Kingdom); Blizard Institute (United Kingdom)
Journal: Gut microbes, volume 18, issue 1, article 2649487
Dates: received 22 April 2025; accepted 18 March 2026; published online 27 March 2026; in print December 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1080/19490976.2026.2649487 · PMID 41896724 · PMCID PMC13034628 · OpenAlex W7142098770
Open access: gold, a free copy (OpenAlex)
Categories: human (organism), Alzheimer's / dementia (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning
Keywords: Choline, Kynurenic acid, Mild Cognitive Impairment, Microbiome, Indoxyl Sulfate, Subjective Cognitive Impairment, Gut-brain Axis, Indole-3-propionic Acid, 5-Hydroxyindole Acetic Acid
MeSH: Cognitive Dysfunction*, Gastrointestinal Microbiome*, Aged, Bacteria, Biomarkers, Diet, Dysbiosis, Female, Humans, Male, Middle Aged (* major topic)
Topic: Metabolomics and Mass Spectrometry Studies (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Alzheimer's Research UK (R212039)
Citations: cited by 4 papers (Europe PMC); 111 references in the paper

Abstract

Introduction: A key component of disease prevention is the identification of at-risk individuals. Microbial dysbiosis in the early stages of cognitive decline and Alzheimer's disease (AD) and can modulate the levels of microbe-derived metabolites (MDM), thought to contribute to neuroinflammation, blood‒brain barrier dysfunction, and neuronal degeneration. However, the precise role of MDM in this process, as well as their potential value as risk factors, remains poorly understood.

Methods: Mass spectrometry platforms determined the serum concentration of 33 metabolites (13 tryptophan-related compounds, 15 bile acid compounds, 3 TMAO-related metabolites and 2 cresol metabolites) from cognitively healthy subjects, subjective cognitive impairment (SCI) participants and mild cognitive impairment (MCI) participants (n = 50 per group, matched for age, BMI and sex). Multiple linear regression and machine learning techniques were applied to identify a metabolite panel capable of classifying early cognitive decline. 16S rRNA amplicon sequencing was employed to identify bacterial taxa associated with these metabolic changes.

Results: Multiple linear regression modelling, adjusted for sex, BMI, age, albumin (for its role in metabolite transport), liver and kidney function, and background diet, identified key neuroprotective metabolites, namely choline, 5-hydroxyindole acetic acid, and indole propionic acid (IPA), as lower in SCI and MCI individuals compared to healthy controls. In contrast, the cytotoxic metabolite, indoxyl sulfate, and kynurenic acid were elevated. A random forest algorithm with multiclass classification further validated these findings, highlighting six metabolites (indoxyl sulfate, choline, 5-hydroxyindole acetic acid, IPA, kynurenic acid, and kynurenine) as classifiers of early cognitive decline, achieving an area under the curve (AUC) of 0.79.

Conclusion: These findings suggest that MDM may serve as putative composite biomarkers of early cognitive decline, offering potential clinical relevance for metabolic risk stratification and supporting the future development of minimally invasive screening tools.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data and to no code of its authors: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Data links

Data availability statement

The 16S rRNA gene sequence data have been deposited in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/) under accession number PRJNA1109848. Other data that support the findings of this study are available from the corresponding authors upon reasonable request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 9 keywords, 11 MeSH terms, 1 funder, 107 references.

Cite

This paper

Connell, E., Sami, S., Khondoker, M., Minihane, A. M., Pontifex, M. G., Müller, M., McArthur, S., Le Gall, G., & Vauzour, D. (2026). Circulatory dietary and gut-derived metabolites predict early cognitive decline. Gut microbes, 18(1), 2649487. https://doi.org/10.1080/19490976.2026.2649487

BibTeX

@article{connell2026circulatory,
author = {Connell, Emily and Sami, Saber and Khondoker, Mizanur and Minihane, Anne Marie and Pontifex, Matthew G and Müller, Michael and McArthur, Simon and Le Gall, Gwenaelle and Vauzour, David},
title = {{Circulatory dietary and gut-derived metabolites predict early cognitive decline}},
journal = {Gut microbes},
year = {2026},
month = mar,
volume = {18},
number = {1},
pages = {2649487},
publisher = {Taylor \& Francis},
issn = {1949-0976},
doi = {10.1080/19490976.2026.2649487},
url = {https://doi.org/10.1080/19490976.2026.2649487},
pmid = {41896724},
pmcid = {PMC13034628}
}

RIS

TY - JOUR
AU - Connell, Emily
AU - Sami, Saber
AU - Khondoker, Mizanur
AU - Minihane, Anne Marie
AU - Pontifex, Matthew G
AU - Müller, Michael
AU - McArthur, Simon
AU - Le Gall, Gwenaelle
AU - Vauzour, David
TI - Circulatory dietary and gut-derived metabolites predict early cognitive decline
T2 - Gut microbes
J2 - Gut Microbes
PY - 2026
DA - 2026/03/27
VL - 18
IS - 1
SP - 2649487
SN - 1949-0976
PB - Taylor & Francis
DO - 10.1080/19490976.2026.2649487
UR - https://doi.org/10.1080/19490976.2026.2649487
LA - en
ER -

CSL-JSON

{
"id": "10.1080/19490976.2026.2649487",
"type": "article-journal",
"title": "Circulatory dietary and gut-derived metabolites predict early cognitive decline",
"container-title": "Gut microbes",
"author": [
{
"family": "Connell",
"given": "Emily"
},
{
"family": "Sami",
"given": "Saber"
},
{
"family": "Khondoker",
"given": "Mizanur"
},
{
"family": "Minihane",
"given": "Anne Marie"
},
{
"family": "Pontifex",
"given": "Matthew G"
},
{
"family": "Müller",
"given": "Michael"
},
{
"family": "McArthur",
"given": "Simon"
},
{
"family": "Le Gall",
"given": "Gwenaelle"
},
{
"family": "Vauzour",
"given": "David"
}
],
"container-title-short": "Gut Microbes",
"volume": "18",
"issue": "1",
"page": "2649487",
"DOI": "10.1080/19490976.2026.2649487",
"PMID": "41896724",
"PMCID": "PMC13034628",
"ISSN": "1949-0976",
"publisher": "Taylor & Francis",
"URL": "https://doi.org/10.1080/19490976.2026.2649487",
"language": "en",
"issued": {
"date-parts": [
[
2026,
3,
27
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1186/s13024-022-00548-6
Microbial-derived metabolites as a risk factor of age-related cognitive decline and dementia.
Journal: Molecular neurodegeneration
In common: Alzheimer's / dementia, clinical / translational, 24 references, 6 authors
[2] doi:10.1080/19490976.2026.2614030
A novel Mediterranean diet-inspired supplement reduces hippocampal amyloid deposits and microglial activation through the modulation of the microbiota gut-brain axis in 5xFAD mice.
Journal: Gut microbes
In common: Alzheimer's / dementia, 8 references, 7 authors
[3] doi:10.1080/19490976.2024.2363011
A novel Mediterranean diet-inspired supplement ameliorates cognitive, microbial, and metabolic deficits in a mouse model of low-grade inflammation.
Journal: Gut microbes
In common: 5 references, 4 authors
[4] doi:10.1038/s41598-025-17665-z [code]
Gum Arabic modulates the microbiota-gut-brain axis and affects general fitness in zebrafish.
Journal: Scientific reports
In common: 1 reference, 2 authors
[5] doi:10.1080/19490976.2025.2547029
Gut microbiota dysbiosis affects intestinal sensitivity through epithelium-to-neuron signaling: novel insights from a colon organoid-based model to improve visceral pain therapy.
Journal: Gut microbes
In common: 1 reference, 2 authors
[6] doi:10.1038/s41531-024-00816-w [code]
α-synuclein overexpression and the microbiome shape the gut and brain metabolome in mice.
Journal: NPJ Parkinson's disease
In common: 6 references
[7] doi:10.1186/s40168-026-02342-8 [code]
Impacts of host genetics on gut microbiome composition in Alzheimer's disease.
Journal: Microbiome
In common: Alzheimer's / dementia, 6 references
[8] doi:10.3389/fnagi.2023.1162057
Altered gut microbiota in older adults with mild cognitive impairment: a case-control study.
Journal: Frontiers in aging neuroscience
In common: Alzheimer's / dementia, 6 references
[9] doi:10.1007/s00726-023-03375-1
Investigating metabolic dysregulation in serum of triple transgenic Alzheimer's disease male mice: implications for pathogenesis and potential biomarkers.
Journal: Amino acids
In common: Alzheimer's / dementia, clinical / translational, 5 references
[10] doi:10.1038/s43587-026-01149-4 [code]
The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome.
Journal: Nature aging
In common: Alzheimer's / dementia, 6 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: code errors and mismatches between the code and the paper about this paper and its code, from readers and its authors, beside the paper and its tracing map.

Reproductions: reports from readers who ran the authors' code and did not get the paper's result, what they ran, with which environment, commit and data.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.