Abstract:
Chronic inflammatory diseases are caused due to prolonged inflammation at a specific site of the body. Among other inflammatory diseases, bacterial meningitis, chronic obstructive pulmonary disease (COPD), atherosclerosis and inflammatory bowel diseases (IBD) are primarily focused on because of their adverse effects and fatality rates around the globe in recent times. In order to come up with novel strategies to eradicate these diseases, a clear understanding of the mechanisms of the diseases is needed. Similarly, detailed insight into the mechanisms of commercially available drugs and potent lead compounds from natural sources are also important to establish efficient therapeutic effects. Zebrafish is widely accepted as a model to study drug toxicity and the pharmacokinetic effects of the drug. Moreover, researchers use various inducers to trigger inflammatory cascades and stimulate physiological changes in zebrafish. The effect of these inducers contrasts with the type of zebrafish used in the investigation. Hence, a thorough analysis is required to study the current advancements in the zebrafish model for chronic inflammatory disease suppression. This review presents the most common inflammatory diseases, commercially available drugs, novel therapeutics, and their mechanisms of action for disease suppression. The review also provides a detailed description of various zebrafish models for these diseases. Finally, the future prospects and challenges for the same are described, which can help the researchers understand the potency of the zebrafish model and its further exploration for disease attenuation.
摘要:
慢性炎性疾病是由于身体特定部位的长期炎症引起的。在其他炎症性疾病中,细菌性脑膜炎,慢性阻塞性肺疾病(COPD),动脉粥样硬化和炎症性肠病(IBD)是主要关注的,因为它们的副作用和死亡率在全球范围内。为了想出根除这些疾病的新策略,需要清楚了解疾病的机制。同样,详细了解市售药物的机制和天然来源的有效先导化合物对于建立有效的治疗效果也很重要。斑马鱼被广泛接受为研究药物毒性和药物的药代动力学作用的模型。此外,研究人员使用各种诱导剂来触发炎症级联反应并刺激斑马鱼的生理变化。这些诱导物的作用与研究中使用的斑马鱼的类型形成对比。因此,研究斑马鱼慢性炎性疾病抑制模型的最新进展需要进行全面分析.本文综述了最常见的炎症性疾病,市售药物,新疗法,以及它们抑制疾病的作用机制。该综述还提供了这些疾病的各种斑马鱼模型的详细描述。最后,描述了未来的前景和挑战,这可以帮助研究人员了解斑马鱼模型的效力及其对疾病衰减的进一步探索。