Adding Molecular Data to Your Caregiving Toolkit: CerebralScoreTM for Care Partners
As a care partner, you know that caring for someone with cognitive challenges involves countless conversations—with doctors, with other family members, with your loved one themselves. You're constantly assessing, observing, reporting, and making decisions based on what you're seeing day to day.
But here's what many care partners struggle with: translating subjective observations into objective information that healthcare providers can use. “She seems more confused lately.” “He's having more trouble with daily tasks.” “I think things are getting worse, but I can't quite explain how.”
CerebralScoreTM offers care partners a tool to add molecular data to these important conversations. By tracking cognitive wellness patterns at regular intervals—every 6–12 months—you create a longitudinal record that can complement your observations, inform care discussions, and provide objective context for the changes you're witnessing.
The Care Partner's Challenge: Documenting Change Over Time
One of the most difficult aspects of caregiving is accurately tracking change over time. When you're with someone every day, gradual shifts can be hard to notice. You might not realize how much has changed until you look back over months or years. Conversely, you might worry that every forgotten name or misplaced item represents significant decline, when it might be stable baseline function.
This challenge becomes especially acute during medical appointments. You have 15–20 minutes to convey months of observations to a healthcare provider. You want to be helpful and accurate, but it's difficult to translate the lived experience of daily caregiving into concrete information that medical teams can act on.
The statistics underscore why this matters. Recent research estimates that 42% of Americans over age 55 will eventually develop dementia,1 with the proportion of adults ages 70 and older with dementia at approximately 10%.2 For care partners managing the reality behind these numbers, having objective data to supplement subjective observations can be invaluable.
What CerebralScoreTM Provides for Care Partners
CerebralScoreTM is a saliva-based wellness test that analyzes 209 methylation patterns in cell-free DNA to generate an AI-driven cognitive wellness score. For care partners, it serves as a complementary tool—not a replacement for medical evaluation, but an additional data point that can inform care conversations.
Specifically, CerebralScoreTM helps care partners:
- Document patterns objectively: Instead of relying solely on memory and subjective impression, you have molecular data collected at regular intervals (such as every 6–12 months) that shows wellness patterns over time.
- Support care conversations: When meeting with healthcare providers, present objective data alongside your observations.
- Track intervention impact: For lifestyle changes or new medications, testing provides molecular data before and after these changes.
- Reduce uncertainty: Regular measurements help distinguish stable function from shifting patterns.
- Communicate with family: Objective data can ground discussions in facts rather than differing impressions.
Understanding the Science: DNA Methylation
CerebralScoreTM uses DNA methylation analysis—a molecular approach that's research-informed and increasingly used in wellness monitoring.
Here's the simple explanation: As cells throughout the body die and renew themselves, they release tiny fragments of DNA into bodily fluids, including saliva. These DNA fragments carry “methylation patterns”—chemical markers that provide information about cellular processes and biological states.
Circulating cell-free DNA is emerging as a valuable wellness monitoring tool, offering molecular information that was previously difficult to access without invasive procedures.3 Research demonstrates that DNA methylation serves as a stable identifier of biological states,4 and studies have identified signatures that distinguish between different cell types and processes.5
For care partners, the practical advantage is significant: no needles, no medical appointments—just a simple saliva sample collected at home on a schedule that works for you.
The 209-Marker Comprehensive Approach
CerebralScoreTM analyzes 209 different methylation sites, not just one or two markers. Cognitive wellness is complex, involving multiple biological pathways. Research emphasizes that complex methylation signatures provide more meaningful patterns than single measurements.6
Think of it like vital signs: you wouldn't assess someone's overall wellness based only on heart rate. You'd want heart rate, blood pressure, temperature, respiratory rate, and oxygen saturation. Each metric tells part of the story; together, they provide a comprehensive picture.
When tracked over time—perhaps every 6–12 months—these molecular patterns reveal trends that complement your observations and provide data for healthcare discussions.
Establishing Your Baseline and Testing Cadence
Recommended approach:
- Establish baseline: Conduct the first test to establish your loved one's molecular wellness profile.
- Schedule regular follow-ups: Plan to retest every 6–12 months.
- Document consistently: Keep a simple log of test dates, results, and relevant context (medications, life events).
- Coordinate with medical appointments: Test shortly before major visits to bring current data.
- Track alongside observations: Combine subjective notes with objective molecular data.
What the Results Tell You
CerebralScoreTM provides an AI-generated cognitive wellness score based on the 209 methylation patterns analyzed in the saliva sample.
Important context:
- This is wellness data, not medical diagnosis.
- Interpret results longitudinally, not as isolated points.
- Changes don't necessarily indicate disease; discuss with healthcare providers.
Across multiple tests, you can observe stable patterns, gradual shifts, or sudden changes that may prompt clinical follow-up.
Integrating Results into Care Conversations
- Prepare a summary with test dates, scores, trends, observations, and major changes.
- Present subjective + objective data together during visits.
- Ask for interpretation in your loved one's clinical context.
- Don't overinterpret wellness data; let clinicians integrate it.
- Use it to prompt discussions about additional evaluation when appropriate.
Supporting Care Planning
- Timing of interventions (support services, home modifications).
- Evaluating lifestyle changes via longitudinal patterns.
- Medication discussions with baseline and follow-up context.
- Long-term planning and informed family conversations.
- Day-to-day decision-making with reduced uncertainty.
The Practical Benefits: Simple, At-Home Testing
- No needles or blood draws.
- At-home collection at a calm, convenient time.
- No appointment required to test.
- Painless, non-invasive collection.
- Flexible timing that fits your schedule.
- Digital results for easy sharing and tracking.
Managing Expectations and Emotions
What wellness data can't do:
- Provide definitive diagnoses or predict outcomes.
- Replace comprehensive medical evaluation.
- Eliminate caregiving uncertainty.
What wellness data can do:
- Add objective information to supplement observations.
- Provide discussion points for clinical conversations.
- Document patterns over time.
When Wellness Data Shows Concerning Patterns
- Don't panic—use results to schedule medical follow-up.
- Prepare comprehensive information and ask about further evaluation.
- Consider lifestyle optimization with provider guidance.
- Engage family support and take care of yourself, too.
The Lifestyle and Wellness Context
Exercise (aerobic, resistance, mind-body) is associated with better cognitive outcomes,10 and comprehensive lifestyle changes may benefit individuals with cognitive concerns.11
- Appropriate physical activity
- Nutrient-dense diet (vegetables, fruits, whole grains, omega-3s)
- Sleep quality and hygiene
- Stress reduction
- Social engagement and meaningful activities
- Manage cardiovascular risk factors
- Cognitive stimulation and mental engagement
Communication with Family Members
- Ground discussions in longitudinal data.
- Document patterns for less-frequent observers.
- Support shared decision-making.
- Reduce conflict through common reference points.
- Engage distant family with simple visuals of score trends.
Record-Keeping and Documentation
- Create a wellness file for all results.
- Log dates, scores, context, and observations.
- Cross-reference medical records and appointments.
- Prepare one-page summaries before visits.
- Share appropriately and maintain privacy.
Self-Care for Care Partners
- Seek support (groups, counseling, family).
- Maintain your own health routines.
- Set boundaries and accept help.
- Consider respite care when needed.
Getting Started with Regular Monitoring
- Order the initial kit to establish baseline data.
- Collect the baseline sample at home.
- Mail it back using the prepaid envelope.
- Review baseline results and save as your reference.
- Schedule follow-up for 6–12 months later.
- Share with providers at the next appointment.
- Establish routine as part of your caregiving rhythm.
A Tool Among Many
CerebralScoreTM won't replace medical care or answer every question. It adds a layer of objective molecular data to support your observations, inform healthcare conversations, and document patterns over time—another practical tool in your caregiving toolkit.
References
- Fang, M., et al. (2025). Lifetime risk and projected burden of dementia. Nature Medicine. https://www.nature.com/articles/s41591-024-03340-9
- Freedman, V. A., et al. (2024). Dementia Prevalence, Incidence, and Mortality Trends Among U.S. Adults Ages 72 and Older, 2011–2021. The Journals of Gerontology: Series A. https://academic.oup.com/biomedgerontology/article/79/Supplement_1/S22/7655435
- O'Hara, R., et al. (2024). Considering Biomarkers of Neurodegeneration in Alzheimer's Disease: The Potential of Circulating Cell-Free DNA in Precision Neurology. Journal of Personalized Medicine. https://www.mdpi.com/2075-4426/14/11/1104
- Jain, P., et al. (2023). Detection of neuron-derived cfDNA in blood plasma. Frontiers in Neurology. https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2023.1272960/full
- Jain, P., et al. (2023). Detection of neuron-derived cfDNA in blood plasma. Frontiers in Neurology. https://pmc.ncbi.nl.gov/articles/PMC10643874/
- O'Hara, R., et al. (2024). Considering Biomarkers of Neurodegeneration in Alzheimer's Disease. Journal of Personalized Medicine. https://pmc.ncbi.nlm.nih.gov/articles/PMC11595805/
- Yang, S., et al. (2025). WGBS of cfDNA unveils age-dependent and ALS-associated methylation alterations. Cell & Bioscience. https://cellandbioscience.biomedcentral.com/articles/10.1186/s13578-025-01366-1
- Zhang, Y., et al. (2024). Methylated cell-free DNA as a novel biomarker in Alzheimer's disease. Clinica Chimica Acta. https://www.sciencedirect.com/science/article/abs/pii/S0009898124023222
- Petersen, R. C. (2016). Mild Cognitive Impairment. CONTINUUM. https://pubmed.ncbi.nlm.nih.gov/27662909/
- Demurtas, J., et al. (2020). Physical Activity and Exercise in MCI and Dementia: Umbrella Review. JAMDA. https://www.jamda.com/article/S1525-8610(20)30737-4/fulltext
- Ornish, D., et al. (2024). Intensive lifestyle changes in MCI/early AD: RCT. Alzheimer's Research & Therapy. https://alzres.biomedcentral.com/articles/10.1186/s13195-024-01482-z
- Lee, M., et al. (2022). cfDNA methylation as a potential biomarker in brain disorders. Brain Sciences. https://pmc.ncbi.nlm.nih.gov/articles/PMC9066291/
- Sanchez-Mut, J. V., et al. (2016). Common epigenomic patterns in neurodegenerative diseases. Translational Psychiatry. https://www.nature.com/articles/tp2015214