Recent advances of phenotypic screening strategies in the application of anti-influenza virus drug discovery

Jia, Huinan; Hu, Lide; Zhang, Jiwei; Huang, Xing; Jiang, Yuanmin; Dong, Guanyu; Liu, Chuanfeng; Liu, Xinyong; Kim, Meehyein; Zhan, Peng

doi:10.1039/d3md00513e

RSC Med. Chem.

2024

DOI: 10.1039/d3md00513e

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Recent advances of phenotypic screening strategies in the application of anti-influenza virus drug discovery

Huinan Jia,

Lide Hu,

Jiwei Zhang

et al.

Abstract: From the point of view of medicinal chemistry, we review the research progress of phenotypic screening strategies by focusing direct acting antivirals against influenza virus.

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Application of peripheral blood routine parameters in the diagnosis of influenza and Mycoplasma pneumoniae

Chen,

Wang,

Hong

et al. 2024

Virol J

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Objectives Influenza and Mycoplasma pneumoniae infections often present concurrent and overlapping symptoms in clinical manifestations, making it crucial to accurately differentiate between the two in clinical practice. Therefore, this study aims to explore the potential of using peripheral blood routine parameters to effectively distinguish between influenza and Mycoplasma pneumoniae infections. Methods This study selected 209 influenza patients (IV group) and 214 Mycoplasma pneumoniae patients (MP group) from September 2023 to January 2024 at Nansha Division, the First Affiliated Hospital of Sun Yat-sen University. We conducted a routine blood-related index test on all research subjects to develop a diagnostic model. For normally distributed parameters, we used the T-test, and for non-normally distributed parameters, we used the Wilcoxon test. Results Based on an area under the curve (AUC) threshold of ≥ 0.7, we selected indices such as Lym# (lymphocyte count), Eos# (eosinophil percentage), Mon% (monocyte percentage), PLT (platelet count), HFC# (high fluorescent cell count), and PLR (platelet to lymphocyte ratio) to construct the model. Based on these indicators, we constructed a diagnostic algorithm named IV@MP using the random forest method. Conclusions The diagnostic algorithm demonstrated excellent diagnostic performance and was validated in a new population, with an AUC of 0.845. In addition, we developed a web tool to facilitate the diagnosis of influenza and Mycoplasma pneumoniae infections. The results of this study provide an effective tool for clinical practice, enabling physicians to accurately diagnose and differentiate between influenza and Mycoplasma pneumoniae infection, thereby offering patients more precise treatment plans.

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Application of peripheral blood routine parameters in the diagnosis of influenza and Mycoplasma pneumoniae

Chen,

Wang,

Hong

et al. 2024

Virol J

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show abstract

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Recent advances of phenotypic screening strategies in the application of anti-influenza virus drug discovery

Abstract: From the point of view of medicinal chemistry, we review the research progress of phenotypic screening strategies by focusing direct acting antivirals against influenza virus.

Cited by 1 publication

References 68 publications

Application of peripheral blood routine parameters in the diagnosis of influenza and Mycoplasma pneumoniae

Application of peripheral blood routine parameters in the diagnosis of influenza and Mycoplasma pneumoniae

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