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OMICS Approaches Evaluating Keloid and Hypertrophic Scars

机译:评估瘢痕疙瘩和增生性疤痕的组学方法

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摘要

Abnormal scar formation during wound healing can result in keloid and hypertrophic scars, which is a major global health challenge. Such abnormal scars can cause significant physiological pain and psychological distress and become a financial burden. Due to the biological complexity of scar formation, the pathogenesis of such scars and how to prevent them from forming remains elusive. In this review paper, we delve into the world of “omics” approaches to study abnormal scars and provide examples of genomics, transcriptomics, proteomics, epigenomics, and metabolomics. The benefits of “omics” approaches are that they allow for high-throughput studies and the analysis of 100s to 1000s of genes and proteins with the accumulation of large quantities of data. Currently in the field, there is a lack of “omics” review articles describing pathological scars. In this review, we summarize genome-wide linkage analysis, genome-wide association studies, and microarray data to name a few omics technologies. Such data can provide novel insights into different molecular pathways and identify novel factors which may not be captured through small-scale laboratory techniques.
机译:伤口愈合过程中异常疤痕形成会导致瘢痕疙瘩和增生性疤痕,这是一项重大的全球健康挑战。这种异常的疤痕会导致严重的生理痛苦和心理困扰,并成为经济负担。由于疤痕形成的生物学复杂性,此类疤痕的发病机制以及如何防止它们形成仍然难以捉摸。在这篇综述论文中,我们深入探讨了研究异常疤痕的“组学”方法,并提供了基因组学、转录组学、蛋白质组学、表观基因组学和代谢组学的示例。“组学”方法的好处是,它们允许进行高通量研究,并分析100到1000个基因和蛋白质,并积累大量数据。目前在该领域,缺乏描述病理性疤痕的“组学”综述文章。在这篇综述中,我们总结了全基因组连锁分析、全基因组关联研究和微阵列数据,仅举几例组学技术。这些数据可以为不同的分子途径提供新的见解,并确定可能无法通过小规模实验室技术捕获的新因素。

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