Evidence map›Paper›PMID 39546224›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Personality, Aging, and Alzheimer's Disease: Implications for Psychoneuroimmunology and Personalized Medicine.

Qing Yan

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Qing YanPharmTao, Santa Clara, CA, USA. qyan@pharmtao.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychoneuroimmunology (PNI) advancements may revolutionize personalized medicine by identifying systemic biomarkers that enhance diagnosis and treatment. Inflammatory pathways connect personality traits with cognitive performance, aging-related disorders, and mortality risks. Studies have demonstrated the critical interactions between personality and various biological systems like the hypothalamic-pituitary-adrenal (HPA) axis. The gut-brain axis also affects behaviors and psychological states in older adults, with specific gut microbiota influencing cognition, mood, and personality. These findings underscore the practical implications of understanding personality-biology interactions. They can support preventive and personalized medicine for aging-associated disorders. Specifically, personality changes are prevalent in Alzheimer's disease (AD) patients, impacting clinical management and caregiver stress. Non-cognitive factors, such as personality traits and psychiatric symptoms, may serve as early markers of AD. Traits like high Neuroticism and low Openness can predict initial AD stages, often before a formal diagnosis. Personality alterations in AD are also linked to cerebrospinal fluid (CSF) and vascular imaging biomarkers, which can track AD pathology and serve as predictors. Dynamic personality assessment can aid in timely diagnosis, monitoring progression, and evaluating treatments of AD. Understanding personality traits is crucial for predicting burnout, lifespan, and intervention success. Integrating personality and PNI biomarkers into patient profiles will support the development of personalized and systems medicine.

Indexed as

AgingAlzheimer DiseaseBiomarkersPersonalityPrecision MedicinePsychoneuroimmunologyBrain-Gut AxisHumansHypothalamo-Hypophyseal SystemPituitary-Adrenal SystemBiomarkersAgingAlzheimer’s diseaseDementiaGut-brainHypothalamic-pituitary-adrenal (HPA)InflammationInflammationPersonality traitsPersonalitypersonality traitsPersonalized medicinePsychoneuroimmunology (PNI)Systems biology

Identifiers

PMID39546224

What OpenQuestion holds

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Registered trials

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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.