Work

Shotgun metagenomics data from faecal samples of 47 patients with mild cognitive impairment: Insights from the memoir study

Year: 2025
Type: article
Abstract: This Data Note describes the MEMOIR dataset, consisting of shotgun metagenomics data from faecal samples of 47 individuals over the age of 65 diagnosed with mild cognitive impairment (MCI). The dataset was generated to investigate the relationship between gut microbiota functionality and cognitive impairment through the gut-brain-microbiota axis. The dataset includes sequencing data that can be used to explore gut microbiota gene profiles linked to MCI. The dataset was generated using high-throughput shotgun metagenomics technology to identify microbial genes and their potential involvement in cognitive health. This allows for functional interrogation of the gut microbial community and its impact on MCI progression, providing a rich resource for future research. The dataset supports analyses aimed at understanding how dietary interventions (Mediterranean diet and WHO diet) and probiotic treatments influence MCI progression, as well as the potential sex-based differences in response to these interventions. The MEMOIR dataset adheres to the FAIR principles and is intended to facilitate reproducibility and data reuse in studies exploring the gut microbiota’s role in cognitive decline. No conclusions or analyses are presented in this note, but the dataset offers potential for novel insights into personalised treatment strategies for MCI in ageing populations. Future publications from the MEMOIR project will explore the results from these analyses in detail, contributing to a better understanding of the role of gut microbiota in cognitive decline and identifying potential microbial targets for intervention. ClinicalTrials.gov, identifier NCT05029765, registration date of 2021-09-01. For further details, please refer to: https://clinicaltrials.gov/study/NCT05029765?term=NCT05029765&rank=1
Language: English
Open Access status: gold
Estimated APC paid: $841
OpenAlex ID: W4409428212
FWCI:
Cites: 14
Cited by:
Related to: 10