Effects of hormone replacement therapy on insulin-like growth factor (IGF)-I, IGF-II and IGF binding protein (IGFBP)-1 to IGFBP-4: Implications for cardiovascular risk
Bibliographic record
Abstract
OBJECTIVE: Hormone replacement therapy (HRT) in postmenopausal women is controversial, with an elevated cardiovascular event rate for combined estrogen-progestogen but no adverse cardiovascular effect and possible cumulative benefit for estrogen alone. Here we measured the effects of differing estrogen/progestogen combinations on the insulin-like growth factor (IGF)/IGF binding protein (IGFBP) system which has been implicated in the pathophysiological mechanisms underlying cardiovascular disease, higher IGFBP-1 levels having been linked with a reduced cardiovascular risk. DESIGN: Oral conjugated equine estrogens (CEE) alone, or in combination with the increasingly androgenic progestogens medroxyprogesterone acetate, desogestrel or norethisterone, were given in a randomized triple crossover fashion to 35 healthy postmenopausal women. Serum concentrations of IGFs and the principal circulating IGFBPs were measured. RESULTS: Circulating IGF-I, IGFBP-3 and IGF-I/IGFBP-3 molar ratio were significantly reduced by CEE. These effects were reversed by progestogens according to their androgenicity. Plasma IGFBP-1 concentration increased from baseline to CEE alone. This rise was opposed by progestogens of increasing androgenicity. IGFBP-2 levels fell and IGFBP-4 increased with CEE, with no further change with addition of progestogens. CEE increased the proportional contribution of IGFBP-1 and IGFBP-4 to total IGFBP binding and decreased the IGFBP-3 contribution. This was reversed by progestogens. CONCLUSION: There are marked changes in molar ratios of the IGFBPs in relation to estrogen/progestogens in HRT. The effect of progestogens on IGF bioavailability could be an important determinant of the longer-term risks of specific HRT preparations by opposing the potentially beneficial effects of CEE alone on cardiovascular risk.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".