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Enregistrement W4412118466 · doi:10.1002/ajhb.70077

Salivary/Serum Progesterone Ratio Differs Between Menstrual Cycle Phases but Not Between Populations: Implications for Health, Reproductive, and Behavioral Research

2025· article· en· W4412118466 sur OpenAlexaff
Virginia J. Vitzthum, Diva Bellido, Lourdes Echalar, Esperanza Cáceres, Jonathan Thornburg

Notice bibliographique

RevueAmerican Journal of Human Biology · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueMenstrual Health and Disorders
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesMichigan State UniversityCollege of Engineering, Michigan State UniversityIndiana University
Mots-clésMenstrual cycleLuteal phaseConfoundingPopulationFollicular phasePhysiologyVenous bloodDemographyMedicineBlood samplingMenstruationInternal medicineHormoneEnvironmental health

Résumé

récupéré en direct d'OpenAlex

ABSTRACT Objectives Many investigations of human health, behaviors, and adaptations require an indicator of ovarian cycle functioning as a causal, outcome, or confounding variable in the study design and analyses. Because the dynamic fluctuations in cycle hormones can rarely be adequately characterized by a single measurement, but repeated blood sampling can be onerous, salivary free progesterone (P Free‐SAL ) concentration is widely used in both clinical and research contexts as an alternative to total progesterone concentration in venous blood samples (P Total‐VEN ). However, some doubts have been raised about the use of P Free‐SAL because of suggestions that Bolivian and other populations and/or individuals might differ markedly in the ratio of P Free‐SAL to P Total‐VEN (the apparent uptake fraction, UF). If there are such differences, several decades of comparative population research based on P Free‐SAL would require reconsideration, and a seemingly useful tool in both clinical and research contexts would be lost or require additional extensive pre‐use evaluations. Such impacts would fall disproportionally on clinical monitoring and research studies of menstruating persons, a segment of the population that has long been underrepresented in research and clinical trials, especially in low resource conditions. Therefore, we tested three hypotheses: (H1) UF differs by ovarian cycle phase; (H2) UF differs in Bolivian women from that of non‐Bolivian women; and (H3) within a population, UF is consistently higher or lower in some individuals than in most others. Methods We collected mid‐follicular and mid‐luteal near‐concurrent samples of venous blood and saliva from 36 healthy premenopausal Bolivian women. P Total‐VEN and P Free‐SAL were measured using commercial enzyme immunoassays. To test the study hypotheses, we used graphical and statistical methods to analyze these new data and to analyze data from several previously published studies. Results In our study sample of Bolivian women, P Free‐SAL and P Total‐VEN concentrations ( n = 66 pairs) were significantly and highly correlated (Spearman's rho = 0.858; mixed model: intercept = 77.4 pmol/L [( p < 0.001), β = 0.0191 ( p < 0.001)]). An individual's follicular‐phase UF and luteal‐phase UF were not significantly correlated (rho = −0.19, p = 0.462). Median UF equaled 8.1% for follicular and 2.3% for luteal phase pairs and were comparable to published values for other populations. Conclusions Hypothesis 1 was supported. Consistent with prior reports for other populations, in these Bolivian women UF was higher and more variable in the follicular than in the luteal phase. The source(s) of phase‐associated variation in UF deserves additional study, particularly the dynamic relationship to different conformers of corticosteroid‐binding globulin (CBG). Hypothesis 2 was not supported. Paired P Free‐SAL and P Total‐VEN were highly correlated, and UF in these Bolivians was comparable to published values for other populations. Hypothesis 3 was not supported. There was no evidence that some individuals have consistently higher (or lower) UF than most other persons. In sum, these findings do not support the suggestions that the physiology underlying the relationship between P Free‐SAL and P Total‐VEN differs substantially and inexplicitly between populations and individuals. These results also reinforce the critical roles of fastidious attention to sample collection and handling, judicious assessment of assay results, and appropriate statistical methods when using ovarian steroid data in any project. We suggest some guidelines for meeting these requirements. Used with due consideration for its advantages and limitations, P Free‐SAL reliably tracks P Total‐VEN during the menstrual cycle and is a useful option in the biomarker toolkit. Just as it is costly to continue our work with tools not up to the task, so is it costly to discard useful tools without good reason. The development (and improvement through replication) of a robust toolkit for assessing changes in and the impacts of menstrual cycle hormones is foundational to reducing gender‐based health disparities. (The linked file listed below under “Supporting Information” presents these findings in Spanish).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,109
Score d'incertitude au seuil0,492

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,246
Tête enseignante GPT0,549
Écart entre enseignants0,303 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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