机构:[1]Institute for Emergency and Disaster medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China.四川省人民医院[2]Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.四川省人民医院[3]First Hospital of Shanxi Medical University, Taiyuan, China.[4]Department of Histology and Embryology, West China Medical Center, Sichuan University, Chengdu, China.[5]Analytical & Testing Center, Sichuan University, Chengdu, China.[6]State Key Laboratory of Trauma, Burn and Combined Injury, and College of Pharmacy, Third Military Medical University, Chongqing, China
To optimize the pretreatment method of colorectal cancer tissue samples for metabolomics research based on solid-phase nuclear magnetic resonance (NMR).The mucosal tissues of colorectal cancer were classified into five groups with a volume of 0.2 cm*0.2 cm*0.2 cm. The pretreatment methods for each group were as follows: I. Preservation with liquid nitrogen alone. Samples were also treated with liquid nitrogen for 10 (II), 20 (III), and 30 min (IV), respectively, immediately after isolation and then transferred to a -80℃ refrigerator; V. Only -80℃ refrigerator storage. No more than 30 minutes should pass between isolation and pretreatment of tumor samples. The tissue sample testing process was carried out on Bruker AVII-600 NMR Spectrometer. NMR signals were collected and analysed using partial least-squares discrimination analysis (PLS-DA) to explore the effects of different pretreatment methods on the metabolic changes of samples.The levels of pelargonic acid, stearic acid, D-Ribose, heptadecanoic acid, pyruvic acid, succinate, sarcosine, glycine, creatine, and L-lactate in the group I (only liquid nitrogen) were significantly lower than the other groups (p<0.05); the content of glycerophosphocholine in the group I (only liquid nitrogen) was lower than that in the other groups (p=0.055). These indicated that the glucose and choline phospholipid metabolism levels of the liquid nitrogen group were significantly lower than those of the other four groups.Liquid nitrogen storage can stop the metabolic process of glucose and choline phospholipid in colorectal cancer tissue samples in vitro, thus maintaining the metabolic state of tissue samples in vivo as much as possible.
基金:
This work was supported by Sichuan Science and Technology
Support Program [grant IDs 2019YFS0534, 2020YFS0398,
2021YFS0378, 2021YFH0109], National Natural Science
Foundation of China [grant IDs 71974200 and 72074222], Third
Military Medical University [grant number No. SKLKF202023].
第一作者机构:[1]Institute for Emergency and Disaster medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China.[2]Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.[3]First Hospital of Shanxi Medical University, Taiyuan, China.
共同第一作者:
通讯作者:
通讯机构:[1]Institute for Emergency and Disaster medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China.[2]Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital, Chengdu, China.[6]State Key Laboratory of Trauma, Burn and Combined Injury, and College of Pharmacy, Third Military Medical University, Chongqing, China[*1]Institute for Emergency and Disaster medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No.32 Xi Er Duan Yi Huan Lu, Chengdu, 610072, China.
推荐引用方式(GB/T 7714):
Liu Hui,Wang Yu,Han Yueqiang,et al.Pretreatment optimization of tissue metabolomics in colorectal cancer[J].ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION.2022,31(3):526-533.doi:10.6133/apjcn.202209_31(3).0020.
APA:
Liu Hui,Wang Yu,Han Yueqiang,Yang Guangyu,Wang Lu...&Jiang Hua.(2022).Pretreatment optimization of tissue metabolomics in colorectal cancer.ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION,31,(3)
MLA:
Liu Hui,et al."Pretreatment optimization of tissue metabolomics in colorectal cancer".ASIA PACIFIC JOURNAL OF CLINICAL NUTRITION 31..3(2022):526-533