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Record W4413176402 · doi:10.5937/jomb0-59295

Correlation analysis of cognitive dysfunction and fluctuations in serum fibroblast growth factor 21 (FGF21) levels in the overweight group

2025· article· en· W4413176402 on OpenAlexaboutno aff
G Lyu, Xiaoli Lü, Yanyan Liu, Shuyan Liu, Jieyi Liu, Dong Peng

Bibliographic record

VenueJournal of Medical Biochemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsnot available
Fundersnot available
KeywordsFGF21OverweightCorrelationCognitionEndocrinologyInternal medicineMedicineObesityFibroblast growth factorGerontologyPsychiatryMathematicsReceptor

Abstract

fetched live from OpenAlex

Background: To explore the changing characteristics of cognitive function in overweight/obese (OWO) adolescents and analyse its relationship with the level of serum fibrob-last growth factor 21 (FGF21). Methods: A total of 175 adolescents were selected and divided into a normal body mass index (BMI) group (n = 50), an overweight BMI group (n = 50), and an obese BMI group (n=75). All participants underwent assessment of anthro-pometric indicators (height, weight, waist circumference, BMI Z score). Fasting venous blood was collected to meas-ure the level of serum FGF21 (by enzyme-linked immuno-sorbent assay (ELISA)), as were metabolic parameters such as fasting plasma glucose (FPG), fasting insulin (FINS), gly-cated haemoglobin (HbA1c), and lipid profiles (TC, TG, LDL-C, HDL-C). Overall cognitive function was evaluated via the Chinese version of the Montreal Cognitive Assess-ment Foundation Scale (MoCA-B), executive function was assessed via the Wisconsin Card Sorting Test (WCST) (with a focus on analysing the number of persistent errors/PE and the number of completed classifications/CC), and working memory was evaluated via the number span test (DST). Independent sample t tests or Mann Whitney U tests were used to compare the differences between groups. Pearson or Spearman correlation analysis was used to explore the relationships between serum FGF21 levels and cognitive indicators and metabolic parameters. Multiple linear regres-sion was used to analyse the independent association between serum FGF21 and cognitive function scores (after adjusting for potential confounding factors such as age, sex, BMI Z score, and HOMA-IR). Results: Compared with those of normal individuals, the sys-to-lic blood pressure, diastolic blood pressure, fasting blood glucose, glycated haemoglobin and triglyceride levels of ado-lescents in the obese group were greater (all P<0.05). Under the consistent or inconsistent stimulation conditions of the Flanker task, there was no statistically significant differ-ence in the ACC between any two groups of adolescents. Compared with those in the normal body type group and the overweight group, the reaction time of adolescents in the obese group was prolonged (all P<0.05). In the n-back task, there was no statistically significant difference in the ACC between any two groups of adolescents. However, the response time of adolescents in the obese group in the 1-back and 2-back tasks was longer than that in the normal body type group and the overweight group (all P<0.05). Compared with those in the normal body type group, the serum FGF21 levels of adolescents in the obese group were greater (P=0.001). The results of the partial correlation analysis revealed that the reaction time of adolescents in the Flanker and n-back tasks was correlated with their BMI, body fat mass, waist circumference, waist hip ratio, FGF21 level, etc. (all P<0.05). Multiple linear regression analysis further confirmed that BMI was associated with prolonged response time in cognitively related behavioural tasks in adolescents (all P<0.05), and the level of FGF21 was correlated with the ACC in the 2-back task (P=0.001) and the response time to inconsistent stimuli (P=0.048). Conclusions: Overweight adolescents have significant cogni-tive impairment, with significantly elevated serum FGF21 lev-els, and elevated FGF21 levels are independently associated with poorer overall cognitive and executive functions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.291
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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