Detecting a secreted gastric cancer biomarker molecule by targeted nanoparticles for real-time diagnostics
| Autor: | Aviram Nissan, Yvonne Kohl, Amit Pascal, Abraham Rubinstein, Elena Khazanov, Meike Reimann-Zawadzki, Eylon Yavin |
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| Přispěvatelé: | Publica |
| Rok vydání: | 2011 |
| Předmět: |
Pathology
medicine.medical_specialty Noninvasive imaging Pharmacology toxicology Pharmaceutical Science Lumen (anatomy) Early detection Biology Signal-To-Noise Ratio Malignancy Fluorescence Polyethylene Glycols Mice Targeted nanoparticles Stomach Neoplasms medicine Biomarkers Tumor Tumor Cells Cultured Animals Humans Pharmacology (medical) Trypsin Pharmacology Immunoassay Protein immobilization Stomach digestive oral and skin physiology Organic Chemistry medicine.disease medicine.anatomical_structure alpha 1-Antitrypsin Molecular Medicine Nanoparticles Glass Caco-2 Cells Biotechnology |
| Zdroj: | Pharmaceutical research. 29(4) |
| ISSN: | 1573-904X |
| Popis: | Purpose: A real time detection of gastric cancer-associated biomarker molecules in the lumen of the stomach could assist in early detection of this multi-step malignancy. Methods: Employing 1-antitrypsin precursor (A1AT) as a secreted biomarker model, a platform with immunoassay capabilities, comprising sensing and detecting compartments was developed. It was made of a microarray-type functionalized glass, containing a high density of amine groups. Trypsin, the capturing moiety, was immobilized to the glass surface with the aid of a PEG-based spacer mixture, identified as being crucial for both capturing and detecting properties. The detecting compartment contained near infrared fluorescently labeled nanoparticles conjugated to A1AT-specific antibodies, aimed at generating an optical signal, detectable by a conventional endoscope or a video capsule. Results: The specific recognition reaction between the captured A1AT and the immuno-nanoparticles generated a profound flu orescence with a signal to noise ratio (SNR) of 12-32, in a biomarker-concentration dependent manner. Moreover, the optical recognition signal was intense enough to be detected by a video capsule simulator (with optical detection capabilities of a video capsule) with a SNR of 6-20. Conclusions: This platform could serve as a real time diagnostic kit for early detection of a secreted biomarker of gastric cancer. |
| Databáze: | OpenAIRE |
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