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与低骨密度相关的蛋白质组学生物标志物:系统评价。

Proteomic Biomarkers Associated with Low Bone Mineral Density: A Systematic Review.

机构信息

Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico.

National Council of Humanities, Science and Technology (CONAHCYT), Mexico City 03940, Mexico.

出版信息

Int J Mol Sci. 2024 Jul 9;25(14):7526. doi: 10.3390/ijms25147526.

Abstract

Osteoporosis is a globally relevant public health issue. Our study aimed to summarize the knowledge on the proteomic biomarkers for low bone mineral density over the last years. We conducted a systematic review following the PRISMA guidelines; the scoured databases were PubMed, Web of Sciences, Scopus, and EBSCO, from inception to 2 June 2023. A total of 610 relevant studies were identified and 33 were assessed for eligibility. Finally, 29 studies met the criteria for this systematic review. The risk of bias was evaluated using the Joanna Briggs Institute Critical Appraisal Checklist tool. From the studies selected, 154 proteins were associated with changes of bone mineral density, from which only 10 were reported in at least two articles. The protein-protein network analysis indicated potential biomarkers involved in the skeletal system, immune system process, regulation of protein metabolic process, regulation of signaling, transport, cellular component assembly, cell differentiation, hemostasis, and extracellular matrix organization. Mass spectrometry-based proteomic profiling has allowed the discovery of new biomarkers with diagnostic potential. However, it is necessary to compare and validate the potential biomarkers in different populations to determine their association with bone metabolism and evaluate their translation to the clinical management of osteoporosis.

摘要

骨质疏松症是一个具有全球意义的公共卫生问题。我们的研究旨在总结近年来与低骨密度相关的蛋白质组生物标志物的知识。我们按照 PRISMA 指南进行了系统综述;检索的数据库有 PubMed、Web of Sciences、Scopus 和 EBSCO,从建库到 2023 年 6 月 2 日。共确定了 610 项相关研究,其中 33 项符合纳入标准。最终,有 29 项研究符合本系统综述的标准。使用 Joanna Briggs 研究所批判性评估清单工具评估了偏倚风险。从入选的研究中,有 154 种蛋白质与骨密度变化有关,其中只有 10 种在至少两篇文章中有报道。蛋白质-蛋白质网络分析表明,涉及骨骼系统、免疫系统过程、蛋白质代谢过程调节、信号转导调节、运输、细胞成分组装、细胞分化、止血和细胞外基质组织的潜在生物标志物。基于质谱的蛋白质组学分析已经允许发现具有诊断潜力的新生物标志物。然而,有必要在不同人群中比较和验证潜在的生物标志物,以确定它们与骨代谢的关系,并评估它们在骨质疏松症临床管理中的转化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0571/11277462/fd23021b8bde/ijms-25-07526-g001.jpg

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