Observational studyScientific reports2021
Salivary caffeine in Parkinson's disease.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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
11 citing papers in PubMed, 22 citations in OpenAlex.
- Kynurenine pathway in Parkinson's disease: pathophysiological roles and therapeutic interventions.Inflammopharmacology · 2026Review
- Plasma Levels of Food-Derived Metabolites as Biomarkers of Parkinson's Disease.International journal of molecular sciences · 2025Article
- Exploring the Causal Links Between 338 Cerebrospinal Fluid Metabolites and Parkinson's Disease.Brain and behavior · 2025Article
- Caffeine in Aging Brains: Cognitive Enhancement, Neurodegeneration, and Emerging Concerns About Addiction.International journal of environmental research and public health · 2025Review
- Metabolomics Unveils Disrupted Pathways in Parkinson's Disease: Toward Biomarker-Based Diagnosis.ACS chemical neuroscience · 2024Article
- Biomarkers of Parkinson's Disease: From Basic Research to Clinical Practice.Aging and disease · 2024Review
- Molecular characterization of the circadian clock in patients with Parkinson's disease-CLOCK4PD Study protocol.PloS one · 2024Article
- Glutathione-Mediated Neuroprotective Effect of Purine Derivatives.International journal of molecular sciences · 2023Review
- Biomarkers: Role and Scope in Neurological Disorders.Neurochemical research · 2023Review
- Development of a spectroscopic technique that enables the saliva based detection of COVID-19 at safe distances.Results in chemistry · 2021Article
- Comparative analysis of the effects of collection methods on salivary steroids.BMC oral health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to investigate salivary caffeine content, caffeine absorption and metabolism in Parkinson's disease (PD) and verify whether salivary caffeine can be used as a biomarker of PD. We enrolled 98 PD patients and 92 healthy subjects. Caffeine and its major metabolite, paraxanthine, were measured in saliva samples collected before and 4 h after the oral intake of caffeine (100 mg). We measured caffeine absorption as the normalized increase in caffeine levels, and caffeine metabolism as the paraxanthine/caffeine ratio. The Movement Disorder Society Unified Parkinson's Disease Rating Scale part III, the Hoehn & Yahr, the presence of motor complications, and levodopa equivalent dose (LED) were assessed and correlated with caffeine levels, absorption, and metabolism. The effects of demographic and environmental features possibly influencing caffeine levels were also investigated. Caffeine levels were decreased in patients with moderate/advanced PD, while caffeine levels were normal in patients with early and de-novo PD, unrelated to caffeine intake. Caffeine absorption and metabolism were normal in PD. Decreased salivary caffeine levels in PD were associated with higher disease severity, longer duration, and the presence of motor complications, no significant association was found with LED. Salivary caffeine decrease correlates with PD progression.
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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 OpenQuestion graph.