ReviewBone2018
Amino acids as signaling molecules modulating bone turnover.
Review in Bone, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Metabolomic biomarkers of low BMD: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Pooled it
- One-year supplementation with Lactobacillus reuteri ATCC PTA 6475 counteracts a degradation of gut microbiota in older women with low bone mineral density.NPJ biofilms and microbiomes · 2022Trial
- Tissue-Specific and Spatially Dependent Metabolic Signatures Perturbed by Injury in Male and Female Mice.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Role of amino acid metabolism in osteoporosis: Effects on the bone microenvironment and treatment strategies (Review).Molecular medicine reports · 2025Review
- Expression of the aryl hydrocarbon receptor in Osterix-lineage cells regulates adult skeletal homeostasis in a compartment-specific manner.JBMR plus · 2025Article
- Plasma levels of amino acids and osteoporosis: a cross-sectional study.Scientific reports · 2025Article
- Metabolomic insights into amino acid signatures and pathways associated with osteoporosis in Iranian elderly population.Frontiers in medicine · 2025Article
- Causal inference study of plasma proteins and blood metabolites mediating the effect of obesity-related indicators on osteoporosis.Frontiers in endocrinology · 2025Article
- Nutrition and Bone Marrow Adiposity in Relation to Bone Health.Physiological research · 2024Review
- Association of serum levels of phenylalanine and tyrosine with hip fractures and frailty in older adults: The cardiovascular health study.Archives of osteoporosis · 2024Article
- Plasma Levels of Branched Chain Amino Acids, Incident Hip Fractures, and Bone Mineral Density of the Hip and Spine.The Journal of clinical endocrinology and metabolism · 2023Article
- Article
- Sex Differences in Adipose Tissue Distribution Determine Susceptibility to Neuroinflammation in Mice With Dietary Obesity.Diabetes · 2023Article
- Jin-Tian-Ge ameliorates ovariectomy-induced bone loss in rats and modulates osteoblastogenesis and osteoclastogenesis in vitro.Chinese medicine · 2022Article
- Immunometabolism - The Role of Branched-Chain Amino Acids.Frontiers in immunology · 2022Review
- Untargeted metabolomics reveals the effect of rearing systems on bone quality parameters in chickens.Frontiers in genetics · 2022Article
- A 1:1 matched case-control study on dietary protein intakes and hip fracture risk in Chinese elderly men and women.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021Article
- Review
- Metabolic Alterations in Older Women With Low Bone Mineral Density Supplemented WithJBMR plus · 2021Article
- Relationship Between Serum Amino Acid Levels and Bone Mineral Density: A Mendelian Randomization Study.Frontiers in endocrinology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 1 institution in 1 country.
Funding
Abstract
Except for the essential amino acids (AAs), much of the focus on adequate dietary protein intake has been on total nitrogen and caloric intake rather than AA composition. Recent data, however, demonstrate that "amino-acid sensing" can occur through either intracellular or extracellular nutrient-sensing mechanisms. In particular, members of the class 3 G-protein coupled receptor family, like the calcium-sensing receptor are known to preferentially bind specific AAs, which then modulate receptor activation by calcium ions and thus potentially impact bone turnover. In pursuing the possibility of direct nutrient effects on bone cells, we examined individual AA effects on osteoprogenitor/bone marrow stromal cells (BMSCs), a key target for bone anabolism. We demonstrate that BMSCs express both intracellular and extracellular nutrient sensing pathways and that AAs are required for BMSC survival. In addition, certain AA types, like members of the aromatic AAs, can potently stimulate increases in intracellular calcium and ERK phosphorylation/activation. Further, based on the in vitro data, we examined the effect of specific AAs on bone mass. To better evaluate the impact of specific AAs, we added these to a low-protein diet. Our data demonstrate that a low-protein diet itself is associated with a significant drop in bone mineral density (BMD) in the older mice, related, at least in part, to an increase in osteoclastic activity. This drop in BMD in mice on the low-protein diet is prevented by addition of AAs from the aromatic group. Taken together our data show that AAs function as specific and selective signaling molecules in bone cells.
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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.