Jian-Jun Chen1, Jing Xie2, Ben-Hua Zeng3, Wen-Wen Li4, Shun-Jie Bai5, Chanjun Zhou6, Wei Chen7, Hong Wei3, Peng Xie6,8,9. 1. Institute of Life Sciences, Chongqing Medical University , Chongqing , China. 2. Department of Endocrinology and Nephrology, Chongqing University Central Hospital, Chongqing Emergency Medical Center , Chongqing , China. 3. The Engineering Technology Research Center for Germ-free and Genome-editing animal; Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education & Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, Huazhong Agricultural University , Wuhan , China. 4. Department of Pathology, Faculty of Basic Medicine, Chongqing Medical University , Chongqing , China. 5. Department of Laboratory, The First Affiliated Hospital of Chongqing Medical University , Chongqing , China. 6. NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, Chongqing Medical University , Chongqing , China. 7. Shanghai Applied Protein Technology Co. Ltd , Shanghai , China. 8. Department of Neurology, The First Affiliated Hospital of Chongqing Medical University , Chongqing , China. 9. Department of Neurology, Yongchuan Hospital of Chongqing Medical University , Chongqing , China.
Abstract
Objectives: Lipid metabolism is closely associated with many important biological functions. Here, we conducted this study to explore the effects of gut microbiota on the lipid metabolism in the prefrontal cortex of mice. Methods: Germ-free (GF) mice, specific pathogen-free (SPF) and colonized GF (CGF) mice were used in this study. The open field test (OFT), forced swimming test (FST) and novelty suppressed feeding test (NSFT) were conducted to assess the changes in general behavioral activity. The liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) was used to obtain the lipid metabolites. Both one-way analysis of variance (one-way ANOVA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used to obtain the key differential lipid metabolites. Results: The behavioral tests showed that compared to SPF mice, GF mice had more center distance, more center time, less immobility time and less latency to familiar food. Meanwhile, 142 key differential lipid metabolites between SPF mice and GF mice were identified. These lipid metabolites mainly belonged to glycerophospholipids, glycerolipids, sphingolipids, and saccharolipids. The gut microbiota colonization did not reverse these changed behavioral phenotypes, but could restore 25 key differential lipid metabolites. Discussion: These results showed that the absence of gut microbiota could influence host behaviors and lipid metabolism. Our findings could provide original and valuable data for future studies to further investigate the microbiota-gut-brain axis.
Objectives:Lipid metabolism is closely associated with many important biological functions. Here, we conducted this study to explore the effects of gut microbiota on the lipid metabolism in the prefrontal cortex of mice. Methods: Germ-free (GF) mice, specific pathogen-free (SPF) and colonized GF (CGF) mice were used in this study. The open field test (OFT), forced swimming test (FST) and novelty suppressed feeding test (NSFT) were conducted to assess the changes in general behavioral activity. The liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) was used to obtain the lipid metabolites. Both one-way analysis of variance (one-way ANOVA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used to obtain the key differential lipid metabolites. Results: The behavioral tests showed that compared to SPF mice, GF mice had more center distance, more center time, less immobility time and less latency to familiar food. Meanwhile, 142 key differential lipid metabolites between SPF mice and GF mice were identified. These lipid metabolites mainly belonged to glycerophospholipids, glycerolipids, sphingolipids, and saccharolipids. The gut microbiota colonization did not reverse these changed behavioral phenotypes, but could restore 25 key differential lipid metabolites. Discussion: These results showed that the absence of gut microbiota could influence host behaviors and lipid metabolism. Our findings could provide original and valuable data for future studies to further investigate the microbiota-gut-brain axis.
Entities:
Keywords:
Gut microbiota; host behaviors; lipid metabolism; metabolites; prefrontal cortex