Urinary metabolic phenotyping for Alzheimer's disease.

doi:10.1038/s41598-020-78031-9

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Urinary metabolic phenotyping for Alzheimer's disease.

Scientific reports - 10 Dec 2020

Kurbatova Natalja, Garg Manik, Whiley Luke, Chekmeneva Elena, Jiménez Beatriz, Gómez-Romero María, Pearce Jake, Kimhofer Torben, D'Hondt Ellie, Soininen Hilkka, Kłoszewska Iwona, Mecocci Patrizia, Tsolaki Magda, Vellas Bruno, Aarsland Dag, Nevado-Holgado Alejo, Liu Benjamine, Snowden Stuart, Proitsi Petroula, Ashton Nicholas J, Hye Abdul, Legido-Quigley Cristina, Lewis Matthew R, Nicholson Jeremy K, Holmes Elaine, Brazma Alvis, Lovestone Simon

Abstract excerpt

Finding early disease markers using non-invasive and widely available methods is essential to develop a successful therapy for Alzheimer's Disease. Few studies to date have examined urine, the most readily available biofluid. Here we report the largest study to date using comprehensive metabolic phenotyping platforms (NMR spectroscopy and UHPLC-MS) to probe the urinary metabolome in-depth in people with...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged, 80 and over

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Alzheimer Disease

Share to Biomarkers

Share to Aged

Share to Cognitive Dysfunction

Share to Metabolomics

Share to Phenotype

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 33303834
DOI: 10.1038/s41598-020-78031-9
PMCID: PMC7730184

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Urinary metabolic phenotyping for Alzheimer's disease.PMID 33303834Read ↗

Sex Differences in the Metabolome of Alzheimer's Disease ProgressionSemantic proximity Read ↗

The blood metabolome of cognitive function and brain health in middle-aged adults – influences of genes, gut microbiome, and exposomeSemantic proximity Read ↗

Metabolomic epidemiology offers insights into disease aetiology.Semantic proximity Read ↗

Differences in Plasma Metabolites Related to Alzheimer’s Disease, APOE-ε4 status and EthnicitySemantic proximity Read ↗

A Multiomics Approach to Heterogeneity in Alzheimer’s Disease: Focused Review and RoadmapSemantic proximity Read ↗

Multi-Omics Integration of Transcriptomics and Metabolomics with Machine Learning Uncovers Novel Risk Factors for Alzheimer’s diseaseSemantic proximity Read ↗

Integrating large-scale serum metabolomics and <i>APOE</i> ε4 genotype status for the non-invasive detection of Alzheimer’s disease in the ADNI cohortSemantic proximity Read ↗

Predictive metabolic networks reveal sex- and APOE genotype-specific metabolic signatures and drivers for precision medicine in Alzheimer's disease.Semantic proximity Read ↗

CSF metabolites associated with biomarkers of Alzheimer’s disease pathologySemantic proximity Read ↗

Towards understanding brain-gut-microbiome connections in Alzheimer’s diseaseSemantic proximity Read ↗

CSF metabolites associated with biomarkers of Alzheimer’s disease pathologySemantic proximity Read ↗

Integrated analysis of genomics, longitudinal metabolomics, and Alzheimer's risk factors among 1,111 cohort participantsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.