ReviewFrontiers in endocrinology2026
Molecular mechanisms and translational prospects in osteoporosis.
Review in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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0 citing papers in PubMed.
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Authors and funding
5 authors.
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Abstract
Osteoporosis is the most prevalent chronic metabolic bone disease, affecting approximately 200 million individuals worldwide. With the rapid acceleration of global aging, osteoporosis has emerged as a major global health challenge, significantly increasing the occurrence rate of fractures and the associated medical burden. In recent years, considerable progress has been made in understanding the molecular mechanisms underlying osteoporosis, including bone remodeling, osteoblast-osteoclast communication, and signaling pathways such as RANKL/RANK/OPG and Wnt/β-catenin. These mechanistic studies have been translated into clinical applications. Emerging therapies, including targeted biologics and precision medicine approaches, offer novel strategies and methods for future prevention and treatment. This review summarizes recent advances in research, with a particular focus on therapeutic agents and mechanistic studies of osteoporosis. Following the mainline of "mechanism-target-translation," this review proposes new research perspectives and approaches, and provides an outlook on future research directions for the disease, aiming to promote the development of more effective diagnostic and therapeutic strategies.
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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 Socratic graph.