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Synthetic Biomarker Design by Using Analyte-Responsive Acetaminophen.

Tatsuya Nishihara1, Joe Inoue1, Sho Tabata1

  • 1Institute for Advanced Biosciences, Keio University, 246-2 Mizukami, Kakuganji, Tsuruoka, Yamagata, 997-0052, Japan.

Chembiochem : a European Journal of Chemical Biology
|February 26, 2017
PubMed
Summary

Researchers developed a new synthetic biomarker strategy using acetaminophen (APAP) to detect analytes. This novel approach successfully detected hydrogen peroxide (H2O2) in cellular and animal models, offering a promising tool for disease diagnosis.

Keywords:
acetaminophenhydrogen peroxideliquid chromatographymass spectrometrysynthetic biomarker

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Area of Science:

  • Biomarker development
  • Synthetic biology
  • Analytical chemistry

Background:

  • Synthetic biomarkers offer a novel approach to enhance disease diagnosis.
  • Existing synthetic biomarkers have limitations in analyte detection.
  • Acetaminophen (APAP) can be engineered into analyte-responsive molecules.

Purpose of the Study:

  • To introduce a novel design strategy for analyte-responsive synthetic biomarkers.
  • To expand the range of detectable analytes using engineered acetaminophen.
  • To demonstrate the utility of this approach for detecting hydrogen peroxide (H2O2).

Main Methods:

  • Designed and synthesized hydrogen peroxide (H2O2)-responsive APAP (HR-APAP).
  • Validated HR-APAP for H2O2 detection in cellular and animal models.
  • Quantified H2O2 levels in vivo using the plasma concentration ratio of APAP and its conjugates.

Main Results:

  • Successfully developed HR-APAP as a synthetic biomarker for H2O2.
  • Demonstrated accurate H2O2 detection in both in vitro and in vivo settings.
  • Established a quantitative relationship between the plasma concentration ratio and H2O2 levels.

Conclusions:

  • The developed methodology provides a practical approach for creating diverse synthetic biomarkers.
  • Analyte-responsive APAP is a versatile platform for expanding synthetic biomarker applications.
  • This strategy holds significant potential for advancing disease diagnosis and monitoring.