Department of Biochemistry, Central University of Haryana, Mahendergarh, India.
Amity Stem cell Institute, Amity Medical School, Amity University Haryana, Amity Education Valley Pachgaon, Gurugram, India.
Prog Mol Biol Transl Sci. 2021;184:61-79. doi: 10.1016/bs.pmbts.2021.06.015. Epub 2021 Jul 21.
With their ubiquitous nature, bacteria have had a significant impact on human health and evolution. Though as commensals residing in/on our bodies several bacterial communities support our health in many ways, bacteria remain one of the major causes of infectious diseases that plague the human world. Adding to this, emergence of antibiotic resistant strains limited the use of available antibiotics. The current available techniques to prevent and control such infections remain insufficient. This has been proven during one of greatest pandemic of our generation, COVID-19. It has been observed that bacterial coinfections were predominantly observed in COVID-19 patients, despite antibiotic treatment. Such higher rates of coinfections in critical patients even after antibiotic treatment is a matter of concern. Owing to many reasons across the world drug resistance in bacteria is posing a major problem i. According to Center for Disease control (CDC) antibiotic report threats (AR), 2019 more than 2.8 million antibiotic resistant cases were reported, and more than 35,000 were dead among them in USA alone. In both normal and pandemic conditions, failure of identifying infectious agent has played a major role. This strongly prompts the need to improve upon the existing techniques to not just effective identification of an unknown bacterium, but also to discriminate normal Vs drug resistant strains. New techniques based on Aggregation Induced Emission (AIE) are not only simple and rapid but also have high accuracy to visualize infection and differentiate many strains of bacteria based on biomolecular variations which has been discussed in this chapter.
由于细菌无处不在,它们对人类健康和进化产生了重大影响。虽然作为共生体存在于/在我们的身体中,有几个细菌群落以多种方式支持我们的健康,但细菌仍然是导致传染病的主要原因之一,这些传染病困扰着人类世界。此外,抗生素耐药菌株的出现限制了现有抗生素的使用。目前预防和控制此类感染的可用技术仍然不足。这在我们这一代人最大的一次大流行之一 COVID-19 期间得到了证明。据观察,尽管进行了抗生素治疗,但 COVID-19 患者中主要观察到细菌合并感染。即使在抗生素治疗后,重症患者的合并感染率仍然很高,这令人担忧。由于世界各地的许多原因,细菌的耐药性是一个主要问题。根据疾病控制与预防中心(CDC)的抗生素报告威胁(AR),2019 年报告了超过 280 万例抗生素耐药病例,仅在美国就有超过 3.5 万人因此死亡。在正常和大流行情况下,未能识别感染因子都起到了主要作用。这强烈促使我们需要改进现有的技术,不仅要有效识别未知细菌,还要区分正常和耐药菌株。基于聚集诱导发射(AIE)的新技术不仅简单快速,而且具有很高的准确性,可以可视化感染,并根据生物分子变化区分许多细菌菌株,本章对此进行了讨论。