Citation: Hao Li, Hanzhi Lu, Linlin Hu, Xueli Zhang, Hua Shao, Fulun Li, Yanfei Shen. Dynamic surface-enhanced Raman spectroscopy-based metabolic profiling: A novel pathway to overcoming antifungal resistance[J]. Chinese Chemical Letters, ;2025, 36(7): 110342. doi: 10.1016/j.cclet.2024.110342 shu

Dynamic surface-enhanced Raman spectroscopy-based metabolic profiling: A novel pathway to overcoming antifungal resistance

Hao Li ^{a, 1} ,
Hanzhi Lu ^{c, 1} ,
Linlin Hu ^{a, d} ,
Xueli Zhang ^a ,
Hua Shao ^{a, *,} ,
Fulun Li ^{c, *,} ,
Yanfei Shen ^{b, *,}

a.
Department of Pharmacy, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
b.
Medical School, Center of Clinical Laboratory Medicine, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing 210009, China
c.
Department of Dermatology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China
d.
Department of Phase Ⅰ Clinical Trial Unit, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China

gycsh@163.com

drlifulun@163.com

Yanfei.Shen@seu.edu.cn

Received Date: 29 March 2024
Revised Date: 17 July 2024
Accepted Date: 13 August 2024
Available Online: 14 August 2024

Figures(4)

Antifungal resistance is the leading cause of antifungal treatment failure in invasive candidiasis. Metabolic rewiring could become a new insight to account for antifungal resistance as to find innovative clinical therapies. Here, we show that dynamic surface-enhanced Raman spectroscopy is a promising tool to identify the metabolic differences between fluconazole (Diflucan)-resistant and fluconazole (Diflucan)-sensitive Candida albicans through the signatures of biochemical components and complemented with machine learning algorithms and two-dimensional correlation spectroscopy, an underlying resistance mechanism, that is, the change of purine metabolites induced the resistance of Candida albicans has been clarified yet never reported anywhere. We hope the integrated methodology introduced in this work could be beneficial for the interpretation of cellular regulation, propelling the development of targeted antifungal therapies and diagnostic tools for more efficient management of severe antifungal resistance.
- Antifungal resistance,
- Metabolic rewiring,
- Dynamic surface-enhanced Raman spectroscopy,
- Machine learning,
- Two-dimensional correlation spectroscopy
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