ArticleScientific reports2024
Whole-body metabolic modelling reveals microbiome and genomic interactions on reduced urine formate levels in Alzheimer's disease.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 14 citations in OpenAlex.
- Plant-Derived Foods and Medicines as Modulators of the Gut Microbiome: Molecular Interactions and Implications for Disease and Therapy.Molecules (Basel, Switzerland) · 2026Review
- Evaluating microbial network inference methods: moving beyond synthetic data with reproducibility-driven benchmarks.BMC bioinformatics · 2026Article
- Reconstruction of human metabolic models with large language models.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Modeling diet-gut microbiome interactions and prebiotic responses in Thai adults.NPJ biofilms and microbiomes · 2026Article
- The microbiota-gut-brain axis in mild cognitive impairment and Alzheimer's disease: a scoping review of human studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Article
- Synergistic Regulation of Alzheimer's Disease and Intestinal Microbiota Metabolism Mediated by the Gut-Brain Axis: A Comprehensive Analysis from a Multidisciplinary Perspective.International journal of medical sciences · 2026Review
- Metabolic modeling links gut microbiota to metabolic markers of Parkinson's disease.Gut microbes · 2025Article
- Personalised whole-body modelling links gut microbiota to metabolic perturbations in Alzheimer's disease.bioRxiv : the preprint server for biology · 2025Article
- Gut microbiome compositional and functional features associate with Alzheimer's disease pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Metabolic modeling of host-microbe interactions.Computational and structural biotechnology journal · 2025Review
- In silico metabolic modelling links microbiome-derived metabolites to risk factors of Alzheimer's disease.Gut microbes reports · 2025Article
- In silico dietary interventions using whole-body metabolic models reveal sex-specific and differential dietary risk profiles for metabolic syndrome.Frontiers in physiology · 2025Article
Corrections and comments
- Erratum issued
- Update of
Authors and funding
40 authors at 13 institutions in 5 countries.
Funding
Abstract
In this study, we aimed to understand the potential role of the gut microbiome in the development of Alzheimer's disease (AD). We took a multi-faceted approach to investigate this relationship. Urine metabolomics were examined in individuals with AD and controls, revealing decreased formate and fumarate concentrations in AD. Additionally, we utilised whole-genome sequencing (WGS) data obtained from a separate group of individuals with AD and controls. This information allowed us to create and investigate host-microbiome personalised whole-body metabolic models. Notably, AD individuals displayed diminished formate microbial secretion in these models. Additionally, we identified specific reactions responsible for the production of formate in the host, and interestingly, these reactions were linked to genes that have correlations with AD. This study suggests formate as a possible early AD marker and highlights genetic and microbiome contributions to its production. The reduced formate secretion and its genetic associations point to a complex connection between gut microbiota and AD. This holistic understanding might pave the way for novel diagnostic and therapeutic avenues in AD management.
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Registered trials
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.