An RGB-emitting molecular cocktail for the detection of bacterial fingerprints. Issue 17 (17th April 2020)

• Record Type: Journal Article
• Authors: Hong, Sheng; Zheng, Di-Wei; Zhang, Qiu-Ling; Deng, Wei-Wei; Song, Wen-Fang; Cheng, Si-Xue; Sun, Zhi-Jun; Zhang, Xian-Zheng
• Is Part Of: Chemical science. Volume 11:Issue 17(2020)
• Page Start: 4403
• Page End: 4409
• Publication Date: 2020-04-17
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1039/d0sc01704c
• Languages: English
• ISSNs: 2041-6520

Abstract

Abstract : A technique named the Microcolor system was developed to detect microbes and diagnose diseases based on changes in microbiota signatures. Abstract : Accumulating evidence indicates that colonized microbes play a crucial role in regulating health and disease in the human body. Detecting microbes should be essential for understanding the relationship between microbes and diseases, as well as increasing our ability to detect diseases. Here, a combined metabolic labeling strategy was developed to identify different bacterial species and microbiota by the use of three different fluorescent metabolite derivatives emitting red, green, and blue (RGB) fluorescence. Upon co-incubation with microbes, these fluorescent metabolite derivatives are incorporated into bacteria, generating unique true-color fingerprints for different bacterial species and different microbiota. A portable spectrometer was also fabricated to automate the colorimetric analysis in combination with a smartphone to conveniently identify different bacterial species and microbiota. Herein, the effectiveness of this system was demonstrated by the identification of certain bacterial species and microbiota in mice with different diseases, such as skin infections and bacteremia. By analyzing the microbiota fingerprints of saliva samples from clinical patients and healthy people, this system was proved to precisely distinguish oral squamous cell carcinoma (OSCC, n = 29) samples from precancerous ( n = 10) and healthy ( n = 5) samples.