ArticleCell & bioscience2022
Metabolomics of blood reveals age-dependent pathways in Parkinson's Disease.
Article in Cell & bioscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
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.
Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Plasma LC-HRMS metabolomics in parkinsonian syndromes: comparative evaluation of sample preparation protocols for exploratory metabolic signatures.Analytical and bioanalytical chemistry · 2026Article
- Association of a five-metabolite and early-symptom profile with Parkinson's disease and its clinical progression.Scientific reports · 2026Article
- Unveiling novel susceptibility genes for kidney stone disease by a cross-tissue transcriptome-wide association study.World journal of urology · 2026Article
- Proteasome Dysregulation in Parkinson's Disease: Insights from Blood-Based Analyses.Molecular neurobiology · 2025Article
- Serum phospholipids during aging: A comprehensive systematic review of cross-sectional and case-control studies.Health promotion perspectives · 2025Review
- Gut microbiota and blood metabolites: unveiling their roles in hippocampal volume changes through Mendelian randomization and mediation analysis.Metabolic brain disease · 2025Article
- Biological Function Analysis of MicroRNAs and Proteins in the Cerebrospinal Fluid of Patients with Parkinson's Disease.International journal of molecular sciences · 2024Review
- Interaction between α-Synuclein and Bioactive Lipids: Neurodegeneration, Disease Biomarkers and Emerging Therapies.Metabolites · 2024Review
- The Multi-Omic Approach to Newborn Screening: Opportunities and Challenges.International journal of neonatal screening · 2024Review
- Anomalous Dynamics of Labile Metabolites in Cold Human Blood Detected UsingAnalytical chemistry · 2023Article
- Metabolomic Footprint of Disrupted Energetics and Amino Acid Metabolism in Neurodegenerative Diseases: Perspectives for Early Diagnosis and Monitoring of Therapy.Metabolites · 2023Review
- A new limit for blood metabolite analysis usingJournal of magnetic resonance open · 2022Article
- Metabolomics as a Crucial Tool to Develop New Therapeutic Strategies for Neurodegenerative Diseases.Metabolites · 2022Review
- Comparative plasma and urine metabolomics analysis of juvenile and adult canines.Frontiers in veterinary science · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundParkinson's Disease (PD) is the second most frequent degenerative disorder, the risk of which increases with age. A preclinical PD diagnostic test does not exist. We identify PD blood metabolites and metabolic pathways significantly correlated with age to develop personalized age-dependent PD blood biomarkers.
resultsWe found 33 metabolites producing a receiver operating characteristic (ROC) area under the curve (AUC) value of 97%. PCA revealed that they belong to three pathways with distinct age-dependent behavior: glycine, threonine and serine metabolism correlates with age only in PD patients; unsaturated fatty acids biosynthesis correlates with age only in a healthy control group; and, finally, tryptophan metabolism characterizes PD but does not correlate with age.
conclusionsThe targeted analysis of the blood metabolome proposed in this paper allowed to find specific age-related metabolites and metabolic pathways. The model offers a promising set of blood biomarkers for a personalized age-dependent approach to the early PD diagnosis.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.