Carboxylesterase Activatable Molecular Probe for Personalized Treatment Guidance by Analyte-Induced Molecular Transformation.

FL/PA imaging analyte-induced molecular transformation cancer types molecular probe stratification

Journal

Angewandte Chemie (International ed. in English)
ISSN: 1521-3773
Titre abrégé: Angew Chem Int Ed Engl
Pays: Germany
ID NLM: 0370543

Informations de publication

Date de publication:
10 May 2024
Historique:
revised: 05 04 2024
received: 28 02 2024
accepted: 07 05 2024
medline: 10 5 2024
pubmed: 10 5 2024
entrez: 10 5 2024
Statut: aheadofprint

Résumé

Accurate visualization of tumor microenvironment is of great significance for personalized medicine. Here, we develop a near-infrared (NIR) fluorescence/photoacoustic (FL/PA) dual-mode molecular probe (denoted as NIR-CE) for distinguishing tumors based on carboxylesterase (CE) level by an analyte-induced molecular transformation (AIMT) strategy. The recognition moiety for CE activity is the acetyl unit of NIR-CE, generating the pre-product, NIR-CE-OH, which undergoes spontaneous hydrogen atom exchange between the nitrogen atoms in the indole group and the phenol hydroxyl group, eventually transforming into NIR-CE-H. In cellular experiments and in vivo blind studies, the human hepatoma cells and tumors with high level of CE were successfully distinguished by both NIR FL and PA imaging. Our findings provide a new molecular imaging strategy for personalized treatment guidance.

Identifiants

pubmed: 38727540
doi: 10.1002/anie.202404093
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e202404093

Informations de copyright

© 2024 Wiley‐VCH GmbH.

Auteurs

Benhao Li (B)

Shenzhen University, Shenzhen University Medical School, CHINA.

Hengke Liu (H)

Shenzhen University, Shenzhen University Medical School, CHINA.

Mengyao Zhao (M)

National University of Singapore, Departments of Diagnostic Radiology, SINGAPORE.

Xinming Zhang (X)

Shenzhen University, Shenzhen University Medical School, CHINA.

Peng Huang (P)

Shenzhen University, Shenzhen University Medical School, CHINA.

Xiaoyuan Chen (X)

National University of Singapore, Departments of Diagnostic Radiology, SINGAPORE.

Jing Lin (J)

Shenzhen University, DEPARTMENT OF BIOMEDICAL ENGINEERING, RM. A2-528, 1066 Xueyuan Ave., 518071, Shenzhen, CHINA.

Classifications MeSH