Kadam Snehal, Nadkarni Shivani, Lele Janhavi, Sakhalkar Savani, Mokashi Pratiksha, Kaushik Karishma Surendra
Institute of Bioinformatics and Biotechnology, Savitribai Phule Pune University, Pune, India.
Abasaheb Garware College, Pune, India.
Front Bioeng Biotechnol. 2019 Dec 13;7:418. doi: 10.3389/fbioe.2019.00418. eCollection 2019.
Chronic wound infections are an important cause of delayed wound healing, posing a significant healthcare burden with consequences that include hospitalization, amputation, and death. These infections most often take the form of three-dimensional biofilm communities, which are notoriously recalcitrant to antibiotics and immune clearance, contributing to the chronic wound state. In the chronic wound microenvironment, microbial biofilms interact closely with other key components, including host cellular and matrix elements, immune cells, inflammatory factors, signaling components, and mechanical cues. Intricate relationships between these contributing factors not only orchestrate the development and progression of wound infections but also influence the therapeutic outcome. Current medical treatment for chronic wound infections relies heavily on long-term usage of antibiotics; however, their efficacy and reasons for failure remain uncertain. To develop effective therapeutic approaches, it is essential to better understand the complex pathophysiology of the chronic wound infection microenvironment, including dynamic interactions between various key factors. For this, it is critical to develop bioengineered platforms or model systems that not only include key components of the chronic wound infection microenvironment but also recapitulate interactions between these factors, thereby simulating the infection state. In doing so, these platforms will enable the testing of novel therapeutics, alone and in combinations, providing insights toward composite treatment strategies. In the first section of this review, we discuss the key components and interactions in the chronic wound infection microenvironment, which would be critical to recapitulate in a bioengineered platform. In the next section, we summarize the key features and relevance of current bioengineered chronic wound infection platforms. These are categorized and discussed based on the microenvironmental components included and their ability to recapitulate the architecture, interactions, and outcomes of the infection microenvironment. While these platforms have advanced our understanding of the underlying pathophysiology of chronic wound infections and provided insights into therapeutics, they possess certain insufficiencies that limit their clinical relevance. In the final section, we propose approaches that can be incorporated into these existing model systems or developed into future platforms developed, thus enhancing their biomimetic and translational capabilities, and thereby their human-relevance.
慢性伤口感染是伤口愈合延迟的重要原因,带来了巨大的医疗负担,其后果包括住院、截肢和死亡。这些感染大多以三维生物膜群落的形式存在,众所周知,生物膜对抗生素和免疫清除具有顽固性,导致伤口长期不愈。在慢性伤口微环境中,微生物生物膜与其他关键成分密切相互作用,包括宿主细胞和基质成分、免疫细胞、炎症因子、信号成分和机械信号。这些促成因素之间的复杂关系不仅支配着伤口感染的发生和发展,还影响治疗效果。目前针对慢性伤口感染的医学治疗严重依赖长期使用抗生素;然而,其疗效和失败原因仍不明确。为了开发有效的治疗方法,必须更好地理解慢性伤口感染微环境的复杂病理生理学,包括各种关键因素之间的动态相互作用。为此,开发生物工程平台或模型系统至关重要,这些平台不仅要包含慢性伤口感染微环境的关键成分,还要重现这些因素之间的相互作用,从而模拟感染状态。这样做,这些平台将能够单独或联合测试新型疗法,为综合治疗策略提供见解。在本综述的第一部分,我们讨论慢性伤口感染微环境中的关键成分和相互作用,这对于在生物工程平台中重现至关重要。在下一部分中,我们总结了当前生物工程慢性伤口感染平台的关键特征和相关性。这些平台根据所包含的微环境成分及其重现感染微环境的结构、相互作用和结果的能力进行分类和讨论。虽然这些平台增进了我们对慢性伤口感染潜在病理生理学的理解,并为治疗提供了见解,但它们存在某些不足之处,限制了其临床相关性。在最后一部分,我们提出了可以纳入这些现有模型系统或发展为未来平台的方法,从而提高其仿生和转化能力,进而增强其与人体的相关性。