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骨质疏松症功能基因组学研究中的机遇与挑战:皇家骨质疏松学会骨与骨研究学会病因工作组于 2020 年 10 月 5 日举办的研讨会报告。

Opportunities and Challenges in Functional Genomics Research in Osteoporosis: Report From a Workshop Held by the Causes Working Group of the Osteoporosis and Bone Research Academy of the Royal Osteoporosis Society on October 5th 2020.

机构信息

Musculoskeletal Research Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.

出版信息

Front Endocrinol (Lausanne). 2021 Feb 15;11:630875. doi: 10.3389/fendo.2020.630875. eCollection 2020.

Abstract

The discovery that sclerostin is the defective protein underlying the rare heritable bone mass disorder, sclerosteosis, ultimately led to development of anti-sclerostin antibodies as a new treatment for osteoporosis. In the era of large scale GWAS, many additional genetic signals associated with bone mass and related traits have since been reported. However, how best to interrogate these signals in order to identify the underlying gene responsible for these genetic associations, a prerequisite for identifying drug targets for further treatments, remains a challenge. The resources available for supporting functional genomics research continues to expand, exemplified by "multi-omics" database resources, with improved availability of datasets derived from bone tissues. These databases provide information about potential molecular mediators such as mRNA expression, protein expression, and DNA methylation levels, which can be interrogated to map genetic signals to specific genes based on identification of causal pathways between the genetic signal and the phenotype being studied. Functional evaluation of potential causative genes has been facilitated by characterization of the "osteocyte signature", by broad phenotyping of knockout mice with deletions of over 7,000 genes, in which more detailed skeletal phenotyping is currently being undertaken, and by development of zebrafish as a highly efficient additional model for functional studies of the skeleton. Looking to the future, this expanding repertoire of tools offers the hope of accurately defining the major genetic signals which contribute to osteoporosis. This may in turn lead to the identification of additional therapeutic targets, and ultimately new treatments for osteoporosis.

摘要

骨硬化蛋白是导致罕见遗传性骨量疾病骨硬化症的缺陷蛋白,这一发现最终促成了抗骨硬化蛋白抗体的研发,将其作为骨质疏松症的一种新疗法。在大规模全基因组关联研究时代,此后又报告了许多与骨量和相关特征相关的其他遗传信号。然而,如何最好地研究这些信号,以确定这些遗传关联背后负责的基因,是确定进一步治疗药物靶点的前提,这仍然是一个挑战。支持功能基因组学研究的资源不断扩大,例如“多组学”数据库资源,骨组织衍生数据集的可用性得到了改善。这些数据库提供了有关潜在分子介质的信息,如 mRNA 表达、蛋白质表达和 DNA 甲基化水平,可以根据遗传信号与正在研究的表型之间的因果途径,对这些数据库进行研究,以将遗传信号映射到特定基因上。通过对“骨细胞特征”的特征描述、对超过 7000 个基因缺失的 knockout 小鼠进行广泛表型分析,以及通过开发斑马鱼作为功能研究的高效附加模型,对潜在致病基因进行功能评估,已经为功能评估提供了便利。在未来,这一不断扩大的工具组合有望准确定义导致骨质疏松症的主要遗传信号。这反过来又可能导致确定其他治疗靶点,并最终为骨质疏松症提供新的治疗方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb64/7917291/92adc3f84828/fendo-11-630875-g001.jpg

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