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Record W4414485845 · doi:10.3389/fmed.2025.1573768

Exploring the relationships between clinical manifestations and sex hormones, thyroid hormones, and menstrual factors in female Parkinson’s disease patients

2025· article· en· W4414485845 on OpenAlexaboutno aff
Fan Wang, Jing Zhao, Jichen Du, Jilai Li, Peifu Wang, Yi Zhong, Tao Feng, Zhirong Wan

Bibliographic record

VenueFrontiers in Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersAerospace Center Hospital
KeywordsDiseaseThyroidThyroid diseaseThyroid functionCognitionRisk factorMotor function

Abstract

fetched live from OpenAlex

Background Parkinson’s disease (PD) affects both sexes, but there are notable differences in its clinical manifestations and management in women. Objective This study aimed to compare variations in sex and thyroid hormone levels and menstrual factors between postmenopausal women with and without motor complications (PWP-MC and PWP-nMC, respectively) and analyze their correlations with motor complications. Methods Ninety-five Postmenopausal Women with Parkinson’s Disease (PWP) provided data on age at menarche, age at menopause, menstrual cycle duration (interval between cycle starts (days)), total years of menstruation (menopausal age - age at menarche), thyroid disease history, and gynecological surgical history. Six sex hormones and seven thyroid function indicators were measured, followed by an analysis of the relationships among sex hormone levels, thyroid function, menstrual factors, clinical characteristics, and disease severity in PWP. The effects of sex hormones and menstrual factors on motor complications in PWP were also investigated. Results The results revealed several key findings: (1) PWP-MC exhibited lower serum prolactin levels than PWP-nMC (p < 0.05). (2) In PWP, serum estradiol levels were negatively correlated with Hamilton Anxiety Rating Scale (HAMA) scores (r = −0.208, p = 0.043). (3) There were no statistically significant differences in age at menarche, age at menopause, menstrual cycle duration, menstruation duration (Days of active bleeding per cycle), or total years of menstruation between PWP-MC and PWP-nMC (p > 0.05). (4) In PWP, age at menarche was negatively correlated with Mini-Mental State Examination (MMSE) scale scores (r = −0.264, p = 0.01) and Montreal Cognitive Assessment (MoCA) scale scores (r = −0.297, p = 0.004); total years of menstruation were positively correlated with MoCA scale scores (r = 0.278, p = 0.006); menstrual cycle duration was negatively correlated with Unified Parkinson’s Disease Rating Scale, Part III (UPDRS-III) scores (r = −0.246, p = 0.016) and Hoehn–Yahr (H-Y) stages (r = −0.236, p = 0.021); and menstruation duration was positively correlated with HAMA (r = 0.215, p = 0.036) and Non-Motor Symptoms Scale (NMSS) scores (r = 0.214, p = 0.037). (5) In PWP-MC, age at menopause and total years of menstruation were positively correlated with Hamilton Depression Rating Scale (HAMD) scores (r = 0.335, p = 0.043; r = 0.352, p = 0.033, respectively); menstruation duration was negatively correlated with UPDRS-III scores (r = −0.362, p = 0.028) and positively correlated with HAMD (r = 0.329, p = 0.047) and HAMA (r = 0.451, p = 0.005) scores; and menstruation duration was positively correlated with NMSS (r = 0.325, p = 0.050) scores. (6) In PWP-nMC, age at menarche was negatively correlated with MMSE (r = −0.332, p = 0.011) and MoCA (r = −0.296, p = 0.024) scores; total years of menstruation were negatively correlated with UPDRS-III (r = −0.287, p = 0.029) scores and positively correlated with MMSE (r = 0.316, p = 0.016) and MoCA (r = 0.337, p = 0.010) scores. (7) Compared with PWP-nMC, PWP-MC had lower serum triiodothyronine levels (p < 0.05) and higher serum thyroid-stimulating hormone levels (p < 0.05). (8) In PWP-MC, triiodothyronine levels were negatively correlated with UPDRS-III scores (r = −0.344, p = 0.037) and H-Y stages (r = −0.445, p = 0.005); free triiodothyronine (FT3) levels were negatively correlated with H-Y stages (r = −0.476, p = 0.003); and free thyroxine (FT4) levels were negatively correlated with UPDRS-III scores (r = −0.422, p = 0.009) and H-Y stages (r = −0.365, p = 0.026). Conclusion These findings suggest that the occurrence of motor complications in PWP may be correlated with prolactin, T3, and FT3 levels. Additionally, attention should be given to thyroid function and serum T3, T4, FT3, and FT4 levels in PWP, as lower levels may be associated with more severe motor symptoms, higher H-Y stages, and poorer cognitive function. Furthermore, older age at onset was inversely associated with motor complications in PWP, whereas a longer disease duration and higher NMSS score are risk factors.

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)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.083
GPT teacher head0.313
Teacher spread0.230 · 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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