Time-kill kinetics in fungi is an important method for determining the rate at which fungal cells are eliminated over time in response to antifungal drugs or various stress conditions. This approach provides valuable insight into the dynamics of fungal cell death and the efficacy of antifungal treatments. The process usually begins by exposing fungal cultures to a specific antifungal drug or stressor, followed by sampling at predetermined time intervals, such as 0, 1, 4, 8, and 24 h (Öz et al, Mycopathologia 181:225–233, 2016). Techniques such as counting colony forming units (CFU) or performing viability assays, e.g. with methylene blue or propidium iodide, are used to quantify live cells. These methods allow researchers to accurately determine the number of viable cells remaining in the sample, which is crucial for calculating the rate of cell death over time. The data obtained from these experiments help to determine the time required to achieve a significant reduction in fungal cell populations and provide a better understanding of the pharmacodynamics of antifungal drugs. By analyzing time-kill kinetics, researchers can gain insight into the efficacy of antifungal treatments and thus make clinical decisions about dosing and treatment duration. In addition, this method sheds light on the underlying mechanisms of cell death, such as apoptosis or necrosis, and can reveal possible resistance mechanisms of fungal pathogens (Qureshi et al, In vitro and in silico approaches for the evaluation of antimicrobial activity, time-kill kinetics, and anti-biofilm potential of thymoquinone (2-Methyl-5-propan-2-ylcyclohexa-2,5-diene-1,4-dione) against selected human pathogens. 2022). The importance of time-kill kinetics goes beyond clinical applications. It is also important in agriculture and the environment, where fungal pathogens threaten hosts and ecosystems. By elucidating the effects of different antifungal strategies, this method contributes significantly to the broader understanding of fungal biology and treatment strategies and ultimately helps in the development of more effective antifungal therapies (Adusei et al, J Trop Med 2019:1250645, 2019).

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Time-Kill Kinetics to Determine the Number of Living Cells Over a Period of Time

  • Ritu Pasrija,
  • Deepika Kumari

摘要

Time-kill kinetics in fungi is an important method for determining the rate at which fungal cells are eliminated over time in response to antifungal drugs or various stress conditions. This approach provides valuable insight into the dynamics of fungal cell death and the efficacy of antifungal treatments. The process usually begins by exposing fungal cultures to a specific antifungal drug or stressor, followed by sampling at predetermined time intervals, such as 0, 1, 4, 8, and 24 h (Öz et al, Mycopathologia 181:225–233, 2016). Techniques such as counting colony forming units (CFU) or performing viability assays, e.g. with methylene blue or propidium iodide, are used to quantify live cells. These methods allow researchers to accurately determine the number of viable cells remaining in the sample, which is crucial for calculating the rate of cell death over time. The data obtained from these experiments help to determine the time required to achieve a significant reduction in fungal cell populations and provide a better understanding of the pharmacodynamics of antifungal drugs. By analyzing time-kill kinetics, researchers can gain insight into the efficacy of antifungal treatments and thus make clinical decisions about dosing and treatment duration. In addition, this method sheds light on the underlying mechanisms of cell death, such as apoptosis or necrosis, and can reveal possible resistance mechanisms of fungal pathogens (Qureshi et al, In vitro and in silico approaches for the evaluation of antimicrobial activity, time-kill kinetics, and anti-biofilm potential of thymoquinone (2-Methyl-5-propan-2-ylcyclohexa-2,5-diene-1,4-dione) against selected human pathogens. 2022). The importance of time-kill kinetics goes beyond clinical applications. It is also important in agriculture and the environment, where fungal pathogens threaten hosts and ecosystems. By elucidating the effects of different antifungal strategies, this method contributes significantly to the broader understanding of fungal biology and treatment strategies and ultimately helps in the development of more effective antifungal therapies (Adusei et al, J Trop Med 2019:1250645, 2019).