Age: A Moderating Effect on Cerebrospinal Fluid Fibroblast Growth Factor 21 and Cognitive Function
Bibliographic record
Abstract
BACKGROUND: Fibroblast growth factors(FGF)19 subclass related to endocrine metabolism, including FGF19, FGF21, and FGF23, which is associated with cognition. Age can affect its secretion and has been identified as a significant risk factor for cognitive decline. Consequently, age may moderate the impact of the FGF19 subclass on cognitive function. This study aimed to investigate the association among the FGF19 subclass in cerebrospinal fluid (CSF), cognition, and age and further explore the moderating effects of age on cognitive changes related to the FGF19 subclass. METHODS: In this cross-sectional study, participants were stratified into two groups based on age, namely the ≤34 year old (n = 128) and >34 year old (n = 63) groups, and CSF FGF19 subclass levels were measured. Cognition was assessed using the Montreal Cognitive Assessment Scores. RESULTS: = 0.12, β = -0.32, p = 0.003). In individuals aged >34 years old, a negative correlation was observed between serum TG levels and MoCA scores (r = -0.31, p = .041). Contrastingly, no correlation was noted between CSF FGF19 and CSF FGF23 levels with MoCA scores in both groups, respectively (all p > 0.05). CONCLUSIONS: This is the first study to report that age plays a moderating effect in the relationship between CSF FGF21 and cognition. Moreover, higher CSF FGF21 levels have a protective effect on cognition in individuals aged ≤34 years old. However, individuals aged>34 years old can improve cognition via alternative strategies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".