AI Article Synopsis

  • DNA methylation involves adding a methyl group to cytosine, affecting gene expression and is linked to cancer risk; the level of this methylation can be assessed in urine.
  • A novel dual-responsive fluorescent sensor was created to detect both cytosine (C) and its methylated form (5-mC) in urine, using nitrogen-doped carbon quantum dots that change fluorescence based on their presence.
  • This sensor shows high sensitivity and accuracy for detecting C and 5-mC in urine, and also integrates with a machine learning-enabled smartphone to predict overall methylation levels, potentially aiding in cancer prognosis.

Article Abstract

DNA methylation is an epigenetic alteration that results in 5-methylcytosine (5-mC) through the addition of a methyl group to the fifth carbon of a cytosine (C) residue. The methylation level, the ratio of 5-mC to C, in urine might be related to the whole-body epigenetic status and the occurrence of common cancers. To date, never before have any nanomaterials been developed to simultaneously determine C and 5-mC in urine samples. Herein, a dual-responsive fluorescent sensor for the urinary detection of C and 5-mC has been developed. This assay relied on changes in the optical properties of nitrogen-doped carbon quantum dots (CQDs) prepared by microwave-assisted pyrolysis. In the presence of C, the blue-shifted fluorescence intensity of the CQDs increased. However, fluorescence quenching was observed upon the addition of 5-mC. This was primarily due to photoinduced electron transfer as confirmed by the density functional theory calculation. In urine samples, our sensitive fluorescent sensor had detection limits for C and 5-mC of 43.4 and 74.4 μM, respectively, and achieved satisfactory recoveries ranging from 103.5 to 115.8%. The simultaneous detection of C and 5-mC leads to effective methylation level detection, achieving recoveries in the range of 104.6-109.5%. Besides, a machine learning-enabled smartphone was also developed, which can be effectively applied to the determination of methylation levels (0-100%). These results demonstrate a simple but very effective approach for detecting the methylation level in urine, which could have significant implications for predicting the clinical prognosis.

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Source
http://dx.doi.org/10.1021/acsami.3c00785DOI Listing

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