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Record W4417449494 · doi:10.62641/aep.v53i6.1987

Thyroid Hormone Dysregulation and Lipid Metabolism Alterations in Bipolar Disorder: Associations With Manic Episodes, Aggressive Behaviour and Cognitive Impairment

2025· article· en· W4417449494 on OpenAlexaboutno aff
Juan Guan, Jun Liu, Hong Zhang

Bibliographic record

VenueActas Españolas de Psiquiatría · 2025
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBipolar disorderThyroidCognitive impairmentHormoneManiaLipid metabolismCognitionAggression

Abstract

fetched live from OpenAlex

AIMS/BACKGROUND: Patients with bipolar disorder experience lipid metabolism disorders and endocrine dysregulation, which may affect emotional regulation, behavioural habits and cognitive function. This study aimed to investigate the correlations amongst lipid metabolism indicators, thyroid hormone levels, and manic episodes, aggressive behaviours, cognitive function and disease severity in patients with bipolar disorder. METHODS: This retrospective analysis included 656 patients with bipolar disorder admitted to Wuhan Mental Health Center. Baseline data, including manic symptoms (Young Mania Rating Scale), aggressive behaviours (Modified Overt Aggression Scale), cognitive function (Montreal Cognitive Assessment), disease severity (Clinical Global Impressions-Severity), lipid metabolism indicators {total cholesterol (TC), triglycerides (TGs), high-density lipoprotein (HDL), low-density lipoprotein (LDL) and thyroid hormone levels [thyroid-stimulating hormone (TSH), total triiodothyronine (T3), total thyroxine (T4), free triiodothyronine (FT3) and free thyroxine (FT4)]}, were collected through electronic medical records. RESULTS: No statistically significant differences were observed in serum TC, LDL, TSH, T4 or FT3 levels between the manic episode group and the non-manic group (p > 0.05). However, the manic episode group exhibited significantly higher serum TG, T3 and FT4 levels (p < 0.05) and significantly lower HDL levels (p < 0.05) than the non-manic group. No significant differences were observed in serum TC, TG, HDL or LDL levels between the aggressive behaviour group and the non-aggressive group (p > 0.05). However, the aggressive behaviour group showed significantly higher TSH, T4, T3, FT3 and FT4 levels (p < 0.05) than the non-aggressive group. No significant differences were observed in serum TC, TG, LDL, TSH, T4, T3 or FT3 levels between the cognitive impairment and normal cognition groups (p > 0.05). However, the cognitive impairment group had significantly lower HDL and FT4 levels (p < 0.05) than the normal cognition group. No statistically significant differences were observed in the serum levels of TC, TG, HDL, LDL, TSH, T4, T3, FT3 or FT4 between the moderate and severe bipolar disorder groups (p > 0.05). CONCLUSION: Changes in lipid metabolism indicators and thyroid hormone levels in patients with bipolar disorder are closely related to manic episodes, aggressive behaviours and cognitive dysfunction, but no correlation was found with disease severity. This evidence supports precision management of bipolar disorder by utilizing specific lipid and thyroid hormone profiles to guide cardiovascular screening, aggression risk assessment, and early detection of cognitive decline.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.253
Teacher spread0.248 · 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 source (direct Gemma or distilled Codex), 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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