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Record W4381620332 · doi:10.1093/humrep/dead093.604

P-246 Exposure to oral contraceptives alters human endometrial stem cells culture media metabolomics

2023· article· en· W4381620332 on OpenAlexaff
Fellipe Vendramel Cordeiro, Edson Lo Turco, Raquel Cellin Rochetti, L. Berioni, Lívia do Vale Teixeira da Costa, Kayla Jane Perkel, Renato Fraietta, Fernando E. Prado

Bibliographic record

VenueHuman Reproduction · 2023
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPhysiologyMenstrual cycleEndometriumGynecologyMedicineStem cellMesenchymal stem cellEndometrial hyperplasiaAndrologyMetabolomicsInternal medicineEndocrinologyHormoneBiologyPathologyBioinformatics

Abstract

fetched live from OpenAlex

Abstract Study question Can oral contraceptives (OCs) influence the metabolism of endometrial stem cells (EnMSC)? Summary answer Altered metabolomic profiling in culture media may be an effect of OC hormonal properties on EnMSC metabolism. What is known already The reconstitution of the endometrial tissue relies on the presence of EnMSC, which reside in the perivascular space in the endometrium. This process can be affected by OCs by decreasing the secretory potential of the glands. In case of high dose OCs, hyperplasia of endometrial vessels and stroma atrophy of the glands may occur. However, the precise effect of OCs on the production and metabolism of EnMSCs remains unknown. Study design, size, duration This was a prospective study that included samples of menstrual blood from 5 volunteers. The study was conducted for one year and received approval from Ethics in Research Committee. Written informed consent was obtained from all participants. Participants/materials, setting, methods Five women with regular menstrual cycles were included in two groups according to the use of OCs: OC (n = 2) and non-OC (n = 3). Samples were collected by the menstrual cup on the second day of the menstrual cycle. The culture medium of EnMSC was collected from each passage. Quantitative metabolomics was performed by multiple reaction monitoring, followed by liquid chromatography mass spectrometry. Data was analyzed by PLS-DA and T-test. Potential biomarkers were assessed by ROC curve. Main results and the role of chance The cells were characterized as mesenchymal stem cells with a range of 47,4% to 85% of positive markers. From 186 metabolites quantified in the culture media of OC and non-OC groups, 15 metabolites were proposed as of high discrimination between groups by the PLS-DA, which also demonstrated a total groups separation on the statistical model. The ROC curve showed that 4 out of 15 metabolites presented more than 80% of sensitivity. These metabolites are Alanine, Phosphatidylcholine (PC) aa C30:0, Glycine and PC aa C32:2, whose concentrations were higher in the OC group than in non-OC group. The Students’ T-Test analysis confirmed that the metabolites with higher discrimination between groups presented significant p values. These metabolites have been associated with several metabolic processes, including energy production and alteration of molecular pathways related to thrombosis and cancer. Limitations, reasons for caution This study was conducted with a small number of participants and further studies are necessary to confirm the findings. Wider implications of the findings The use of OCs could affect endometrial characteristics that are crucial for reproductive success, such as endometrial receptivity. This study provides a preliminary insight into the EnMSCs response to OCs based on specific metabolite signatures, which may contribute to the development of future new reproductive therapies. Trial registration number Foundation for Coordination of Higher Education Personnel (CAPES – Brazil).

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.098
GPT teacher head0.358
Teacher spread0.259 · 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.

Study designBench or experimental
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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