ObjectiveTo explore the predictive value of serum cystatin C （CysC） and trabecular bone score （TBS） for postoperative fracture recurrence in elderly patients with osteoporotic vertebral fractures. MethodsA total of 100 elderly patients with osteoporotic vertebral fractures who were treated surgically at Fuling Hospital Affiliated to Chongqing University from June 2022 to June 2023 were followed up for 2 years. They were divided into the poor group （31 cases） and the good group （69 cases） based on the postoperative fracture recurrence. Pearson analysis was used to analyze the correlation between serum CysC and TBS， Cox analysis was used to analyze the influencing factors of postoperative fracture recurrence in elderly patients with osteoporotic vertebral fractures， and ROC analysis was used to analyze the predictive value of serum CysC and TBS for postoperative fracture recurrence in patients. ResultsThe proportion of bone cement penetration and serum CysC in the poor group were significantly higher than those in the good group （χ² = 4.977， P = 0.026； t = 4.749， P = 0.000）， while the proportion of postoperative anti-osteoporosis treatment， bone mineral density T value， and TBS were significantly lower than those in the good group （χ² = 4.229， P = 0.040； t = 2.065， P = 0.042； t = 5.163， P = 0.000）. Serum CysC was negatively correlated with TBS （r = -0.318， P = 0.001）. Elevated serum CysC was a risk factor for postoperative fracture recurrence in elderly patients with osteoporotic vertebral fractures （P < 0.05）， while elevated TBS was a protective factor （P < 0.05）. The AUC of serum CysC for predicting postoperative fracture recurrence in patients was 0.786 （95%CI = 0.679-0.894）， with a sensitivity of 77.42% and a specificity of 71.01%. The AUC of TBS for predicting postoperative fracture recurrence in patients was 0.795 （95%CI = 0.698-0.892）， with a sensitivity of 74.19% and a specificity of 79.71%. The AUC of the combination of serum CysC and TBS for predicting postoperative fracture recurrence in patients was 0.858 （95%CI = 0.773-0.943）， with a sensitivity of 74.19% and a specificity of 82.61%. The combination of the two had a higher predictive value for postoperative fracture recurrence in patients. ConclusionsElderly patients with osteoporotic vertebral fractures who experience postoperative fracture recurrence have elevated serum CysC and decreased TBS. The combination of serum CysC and TBS has a certain predictive value for postoperative fracture recurrence in elderly patients with osteoporotic vertebral fractures.

MicroRNAs(miRNAs)are important regulators of gene expression.The large-scale detection and profiling of miRNAs have been accelerated with the development of high-throughput small RNA sequencing(sRNA-Seq)techniques and bioinformatics tools.However,generating high-quality comprehensive miRNA annotations remains challenging due to the intrinsic complexity of sRNA-Seq data and inherent limitations of existing miRNA prediction tools.Here,we present iwa-miRNA,a Galaxy-based framework that can facilitate miRNA annotation in plant species by combining computational analysis and manual curation.iwa-miRNA is specifically designed to generate a comprehensive list of miRNA candidates,bridging the gap between already annotated miRNAs provided by public miRNA databases and new predictions from sRNA-Seq datasets.It can also assist users in selecting promising miRNA candidates in an interactive mode,contributing to the accessibility and reproducibility of genome-wide miRNA annotation.iwa-miRNA is user-friendly and can be easily deployed as a web application for researchers without programming experience.With flexible,interactive,and easy-to-use features,iwa-miRNA is a valu-able tool for the annotation of miRNAs in plant species with reference genomes.We also illustrate the application of iwa-miRNA for miRNA annotation using data from plant species with varying genomic complexity.