Saliva Biomarkers for Detecting Alzheimer's Disease
Author Information
Author(s): François Maxime, Pascovici Dana, Wang Yanan, Vu Toan, Liu Jian-Wei, Beale David, Hor Maryam, Hecker Jane, Faunt Jeff, Maddison John, Johns Sally, Leifert Wayne
Primary Institution: CSIRO Health & Biosecurity
Hypothesis
Can saliva proteome, metabolome, and microbiome signatures be used to detect Alzheimer's disease?
Conclusion
Saliva shows potential as a non-invasive medium for early diagnosis of Alzheimer's disease.
Supporting Evidence
- Stratifin showed a strong negative correlation with plasma pTau181 (r = −0.49, p < 0.001).
- 3-chlorotyrosine and L-tyrosine exhibited high correlations with disease severity progression.
- Vitamin B12 metabolism was significantly altered in saliva as Alzheimer's disease progressed.
Takeaway
Researchers found that analyzing saliva can help identify early signs of Alzheimer's disease, making it easier to diagnose without invasive procedures.
Methodology
The study involved a multi-omics analysis of saliva samples from individuals with mild cognitive impairment, Alzheimer's disease, and cognitively normal individuals.
Potential Biases
Potential bias due to the small sample size and the cross-sectional design.
Limitations
The study had a small sample size and was cross-sectional, limiting conclusions about disease progression.
Participant Demographics
80 participants: 40 cognitively normal, 20 with mild cognitive impairment, and 20 with Alzheimer's disease, matched by age and gender.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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