ReviewEndocrinology2020
Estrogen Versus FSH Effects on Bone Metabolism: Evidence From Interventional Human Studies.
Review in Endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- A Review of Rejuvenation Strategies Targeting Mesenchymal Stem Cell Senescence and Their Impact on Bone Health and Regeneration.Current osteoporosis reports · 2026Review
- Effects of follicle-stimulating hormone on energy balance and tissue metabolic health after loss of ovarian function.American journal of physiology. Endocrinology and metabolism · 2024Article
- Effects of daily probiotic supplementation withFrontiers in nutrition · 2024Article
- Bones and Hormones: Interaction between Hormones of the Hypothalamus, Pituitary, Adipose Tissue and Bone.International journal of molecular sciences · 2023Review
- Skeletal interoception in bone homeostasis and pain.Cell metabolism · 2022Review
- The Relationship Between Bone and Reproductive Hormones Beyond Estrogens and Androgens.Endocrine reviews · 2021Review
- Gut-Bone Axis: A Non-Negligible Contributor to Periodontitis.Frontiers in cellular and infection microbiology · 2021Review
- Recent advances in understanding gonadotropin signaling.Faculty reviews · 2021Review
- First-in-class humanized FSH blocking antibody targets bone and fat.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Provocative mouse studies and observational human data have generated considerable enthusiasm for modulating follicle-stimulating hormone (FSH) action in humans to prevent bone loss and, in addition, to treat obesity. This perspective summarizes the strengths and potential weaknesses of the mouse studies examining the skeletal phenotype of FSHβ or FSH receptor null mice, as well as more recent studies using FSH neutralizing antibodies. Although human observational studies do demonstrate correlation of serum FSH levels with postmenopausal bone loss, these studies cannot distinguish whether serum FSH is simply a better biomarker than estradiol or causally related to the bone loss. Establishing causality requires direct interventional studies either suppressing or infusing FSH in humans and to date, such studies have uniformly failed to demonstrate an effect of FSH on bone turnover independent of changes in sex steroid levels. In addition, suppression of FSH is unable to prevent increases in body fat following the induction of sex steroid deficiency, at least in men. Thus, although the preclinical mouse and human observational data are intriguing, there is currently no direct evidence from interventional studies that FSH regulates bone or fat metabolism in vivo in humans.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.