ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2025
[Advances in Animal Modeling in the Study of Bone-Vascular Axis Comorbidities].
Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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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Authors and funding
6 authors.
Funding
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Abstract
Osteoporosis and cardiovascular calcification, two major age-related chronic diseases that China is confronting today, pose serious threats to public health. Previous studies have reported overlapping connections in the pathological processes and molecular mechanisms of these two diseases, particularly concerning inflammation, oxidative stress, and dysregulation of mineral metabolism, and that these two diseases tend to share common pathogenic factors. However, research exploring the comorbidity mechanisms of the two diseases remains limited in both depth and scope, largely due to the lack of widely accepted comorbidity animal models. Herein, we analyzed the latest research findings on the comorbidity mechanisms of vascular calcification and osteoporosis, focusing on summarizing the animal disease models currently in extensive use and the relevant evaluation criteria. We aim to provide new references for comorbidity research models and offer scientific evidence for future studies on pathological mechanisms and the development of new 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.