SUN-537 Progesterone Therapy and Serum Sclerostin Levels in Healthy Menopausal Women: A 3-month Randomized, Placebo Controlled Clinical Trial
Bibliographic record
Abstract
Sclerostin is an osteocyte-produced glycoprotein that inhibits the WNT/β-catenin pathway essential for bone formation. Sclerostin was postulated to relate to normal bone metabolism in 2001; we still have an incomplete understanding of its regulation. Estradiol, a bone antiresorptive ovarian steroid, inhibits sclerostin. Estrogen and progesterone act together in menstrual cycles and bone remodelling with progesterone exerting an anabolic effect. We hypothesized a relationship between progesterone and sclerostin because progesterone and estrogen are “partner” hormones in most tissues, and because progesterone and sclerostin modulate bone formation in opposite directions. Two observational menstrual cycle studies have reported sclerostin levels; neither documented changes across cycles nor in luteal phases during which progesterone levels are high1,2. Some reports have also shown positive correlations between sclerostin and age and BMI. In this study, sclerostin was measured using an assay (MSD) of high sensitivity (LOD ± 1pg/mL), broad detection range (1-10 000 pg/mL), and intra/inter-assay precisions of 6% and 10% respectively3. We collected fasting serum during a 3-month double blind randomized controlled trial (RCT) of 300 mg oral micronized progesterone vs placebo in symptomatic menopausal women; progesterone significantly decreased hot flushes/night sweats (vasomotor symptoms, VMS)4. Statistical analysis showed sclerostin was not related to the 28-day baseline VMS Score (r=.18, p=.22). Pearson correlation coefficients were used to evaluate sclerostin vs baseline data and ANCOVA to analyze RCT results (alpha=0.05 significant, [SD]). The study’s purpose was to determine if sclerostin levels changed during a 3-month RCT of progesterone for VMS in healthy menopausal women3. The primary outcome was sclerostin level in the 3rd month adjusted for baseline and randomization. Results showed the 52 participating women had a mean age of 55.2 (4.6) years, height 1.60 (0.07) m, weight 66.4 (8.6) kg, BMI 24.9 (2.9) kg/m2 and were primarily Caucasian (91.2%). Baseline variables did not correlate with the baseline mean serum sclerostin level of 27.9 (10.2) pmol/L. Sclerostin had no statistically significant relationship with progesterone or placebo therapy during this RCT; mean changes were -1.07 and -2.60 pmol/L respectively. These data are the first evidence that progesterone neither increases nor decreases serum sclerostin levels. These data fit with the lack of menstrual cycle changes in sclerostin levels1,2. That sclerostin did not correlate with age and BMI in this RCT is likely due to their low trial variance. A limitation of this study is the small sample size. However, it has considerable strength in its RCT design that can document causation. 1Cidem M Gyn Obstetric Invest. 2012; 2Liakou CG Endocrine 2016; 3Van Lierop AH J Bone Miner Res 2011; 4Hitchcock CL Menopause 2012.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".