Xueyan Chen1, Yu Liu2, Donghui Pan2, Maoyu Cao1, Xinyu Wang2, Lizhen Wang2, Yuping Xu2, Yan Wang2, Junjie Yan2, Juan Liu3,4, Min Yang5. 1. Department of Veterinary Medicine, Southwest University, Rongchang, Chongqing, 402460, China. 2. NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, 214063, Jiangsu, China. 3. Department of Veterinary Medicine, Southwest University, Rongchang, Chongqing, 402460, China. liujrc@163.com. 4. Immunology Center, Medical Research Institute of Southwest University, Rongchang, Chongqing, 402460, China. liujrc@163.com. 5. NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi, 214063, Jiangsu, China. yangmin@jsinm.org.
Abstract
BACKGROUND: Positron emission tomography (PET) has the potential for visualization and quantification of gastric emptying (GE). The traditional Chinese medicine (TCM) has been recognized promising for constipation. This study aimed to establish a PET imaging method for noninvasive GE measurement and to evaluate the efficacy of a TCM on delayed GE caused by constipation using PET imaging. METHODS: [68Ga]Ga-NOTA was synthesized as the tracer and sesame paste with different viscosity were selected as test meals. The dynamic PET scans were performed after [68Ga]Ga-NOTA mixed with test meals were administered to normal mice. Two methods were utilized for the quantification of PET imaging. A constipation mouse model was treated with maren chengqi decoction (MCD), and the established PET imaging scans were performed after the treatment. RESULTS: [68Ga]Ga-NOTA was synthesized within 20 min, and its radiochemical purity was > 95%. PET images showed the dynamic process of GE. %ID/g, volume, and total activity correlated well with each other. Among which, the half of GE time derived from %ID/g for 4 test meals were 3.92 ± 0.87 min, 13.1 ± 1.25 min, 17.8 ± 1.31 min, and 59.7 ± 3.11 min, respectively. Constipation mice treated with MCD showed improved body weight and fecal conditions as well as ameliorated GE measured by [68Ga]Ga-NOTA PET. CONCLUSIONS: A PET imaging method for noninvasive GE measurement was established with stable radiotracer, high image quality, and reliable quantification methods. The efficacy of MCD on delayed GE was demonstrated using PET.
BACKGROUND: Positron emission tomography (PET) has the potential for visualization and quantification of gastric emptying (GE). The traditional Chinese medicine (TCM) has been recognized promising for constipation. This study aimed to establish a PET imaging method for noninvasive GE measurement and to evaluate the efficacy of a TCM on delayed GE caused by constipation using PET imaging. METHODS: [68Ga]Ga-NOTA was synthesized as the tracer and sesame paste with different viscosity were selected as test meals. The dynamic PET scans were performed after [68Ga]Ga-NOTA mixed with test meals were administered to normal mice. Two methods were utilized for the quantification of PET imaging. A constipationmouse model was treated with maren chengqi decoction (MCD), and the established PET imaging scans were performed after the treatment. RESULTS: [68Ga]Ga-NOTA was synthesized within 20 min, and its radiochemical purity was > 95%. PET images showed the dynamic process of GE. %ID/g, volume, and total activity correlated well with each other. Among which, the half of GE time derived from %ID/g for 4 test meals were 3.92 ± 0.87 min, 13.1 ± 1.25 min, 17.8 ± 1.31 min, and 59.7 ± 3.11 min, respectively. Constipationmice treated with MCD showed improved body weight and fecal conditions as well as ameliorated GE measured by [68Ga]Ga-NOTA PET. CONCLUSIONS: A PET imaging method for noninvasive GE measurement was established with stable radiotracer, high image quality, and reliable quantification methods. The efficacy of MCD on delayed GE was demonstrated using PET.
Entities:
Keywords:
Constipation; Gastric emptying; Positron emission tomography; Traditional Chinese medicine; [68Ga]Ga-NOTA
Authors: Alvaro Goyanes; Anxo Fernández-Ferreiro; Adil Majeed; Noemí Gomez-Lado; Atheer Awad; Andrea Luaces-Rodríguez; Simon Gaisford; Pablo Aguiar; Abdul W Basit Journal: Int J Pharm Date: 2017-11-26 Impact factor: 5.875
Authors: Francisco J López-González; José Paredes-Pacheco; Karl Thurnhofer-Hemsi; Carlos Rossi; Manuel Enciso; Daniel Toro-Flores; Belén Murcia-Casas; Antonio L Gutiérrez-Cardo; Núria Roé-Vellvé Journal: Neuroinformatics Date: 2019-01