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Oresitrophe is monotypic, with the only species, Oresitrophe rupifraga Bunge, which is exclusive to China, having special growth and developmental traits due to its habitat. Furthermore, it has bright flowers and medicinal benefits. This study investigated the metabolites present in various tissues of Oresitrophe rupifraga Bunge. Using a widely targeted metabolomics approach, 1965 different metabolites were identified in Oresitrophe rupifraga Bunge. Based on principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), the aboveground and underground metabolites of Oresitrophe rupifraga differed significantly. The comparison between bulblets and leaves revealed the differential expression of 461 metabolites, whereas the comparison between rhizomes and leaves showed the differential expression of 423 metabolites, and the comparison between bulblets and rhizomes showed the differential expression of 249 metabolites. The bulblets exhibited 49 metabolites that were higher and 412 metabolites that were lower than those of the leaves, whereas the rhizomes showed 123 upregulated and 300 downregulated metabolites. Bulblets showed an increase in 18 metabolites and a decrease in 231 metabolites compared to the rhizomes. Leaves contain more phenolic acids than the rhizomes and bulblets, whereas the rhizomes and bulblets contain more terpenoids than the leaves. KEGG pathway analysis showed an association between metabolites and metabolic pathways, as well as their effect on the progression and maturation of Oresitrophe rupifraga Bunge. The research findings can provide some insight into the growth and developmental traits of Oresitrophe rupifraga Bunge, thus providing a theoretical foundation for cultivating and utilising this plant.

Objective: Osteoporosis is the most common skeletal disease in humans. Early onset of osteoporosis is usually asymptomatic, so early diagnosis is critical. The purpose of this study was to analyze the value of MRI-based VBQ scores for evaluating osteoporosis. Methods: We searched PubMed, Embase, the Cochrane Library databases, Web of Science, and some Chinese electronic databases for published articles and the ClinicalTrials.gov site for completed but unpublished studies on evaluating the value of MRI-based VBQ scores for evaluating osteoporosis. We calculated the summarized sensitivity, specificity, the ROC curve (AUC) values and their 95% confidence intervals (CIs) using MetaDiSc 1.4 software and STATA. Results: Our study included 8 studies involving 999 patients of which 660 patients were diagnosed with osteopenia/osteoporosis, and 339 patients were identified as having normal BMD. The pooled sensitivity was 0.809 (95% CI, 0.777–0.838, I2 = 78.8%), the pooled specificity was 0.640 (95% CI, 0.587–0.691, I2 = 85.9%), and the pooled AUC was 0.8375. Conclusion: MRI-based VBQ scores provided high sensitivity and moderate specificity in detecting osteoporosis. Opportunistic use of VBQ scores could be considered, e.g. before lumbar spine surgery. Prospero registration number: CRD42022377024.