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Xin M, Wang Y, Yang X, Li L, Wang C, Gu Y, Zhang C, Huang G, Zhou Y, Liu J. Exploring the nigrostriatal and digestive interplays in Parkinson's disease using dynamic total-body [ 11C]CFT PET/CT. Eur J Nucl Med Mol Imaging 2024; 51:2271-2282. [PMID: 38393375 DOI: 10.1007/s00259-024-06638-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 02/04/2024] [Indexed: 02/25/2024]
Abstract
PURPOSE Dynamic total-body imaging enables new perspectives to investigate the potential relationship between the central and peripheral regions. Employing uEXPLORER dynamic [11C]CFT PET/CT imaging with voxel-wise simplified reference tissue model (SRTM) kinetic modeling and semi-quantitative measures, we explored how the correlation pattern between nigrostriatal and digestive regions differed between the healthy participants as controls (HC) and patients with Parkinson's disease (PD). METHODS Eleven participants (six HCs and five PDs) underwent 75-min dynamic [11C]CFT scans on a total-body PET/CT scanner (uEXPLORER, United Imaging Healthcare) were retrospectively enrolled. Time activity curves for four nigrostriatal nuclei (caudate, putamen, pallidum, and substantia nigra) and three digestive organs (pancreas, stomach, and duodenum) were obtained. Total-body parametric images of relative transporter rate constant (R1) and distribution volume ratio (DVR) were generated using the SRTM with occipital lobe as the reference tissue and a linear regression with spatial-constraint algorithm. Standardized uptake value ratio (SUVR) at early (1-3 min, SUVREP) and late (60-75 min, SUVRLP) phases were calculated as the semi-quantitative substitutes for R1 and DVR, respectively. RESULTS Significant differences in estimates between the HC and PD groups were identified in DVR and SUVRLP of putamen (DVR: 4.82 ± 1.58 vs. 2.58 ± 0.53; SUVRLP: 4.65 ± 1.36 vs. 2.84 ± 0.67; for HC and PD, respectively, both p < 0.05) and SUVREP of stomach (1.12 ± 0.27 vs. 2.27 ± 0.65 for HC and PD, respectively; p < 0.01). In the HC group, negative correlations were observed between stomach and substantia nigra in both the R1 and SUVREP values (r=-0.83, p < 0.05 for R1; r=-0.94, p < 0.01 for SUVREP). Positive correlations were identified between pancreas and putamen in both DVR and SUVRLP values (r = 0.94, p < 0.01 for DVR; r = 1.00, p < 0.001 for SUVRLP). By contrast, in the PD group, no correlations were found between the aforementioned target nigrostriatal and digestive areas. CONCLUSIONS The parametric images of R1 and DVR generated from the SRTM model, along with SUVREP and SUVRLP, were proposed to quantify dynamic total-body [11C]CFT PET/CT in HC and PD groups. The distinction in correlation patterns of nigrostriatal and digestive regions between HC and PD groups identified by R1 and DVR, or SUVRs, may provide new insights into the disease mechanism.
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Affiliation(s)
- Mei Xin
- Department of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
| | - Yihan Wang
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, 2258 Chengbei Road, Shanghai, 201807, China
| | - Xinlan Yang
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, 2258 Chengbei Road, Shanghai, 201807, China
| | - Lianghua Li
- Department of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
| | - Cheng Wang
- Department of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
| | - Yue Gu
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, 2258 Chengbei Road, Shanghai, 201807, China
| | - Chenpeng Zhang
- Department of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
| | - Gang Huang
- Department of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China
- Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China
| | - Yun Zhou
- Central Research Institute, United Imaging Healthcare Group Co, Ltd, 2258 Chengbei Road, Shanghai, 201807, China.
| | - Jianjun Liu
- Department of Nuclear Medicine, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China.
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Yuan P, Ma R, Hu L, Li R, Wang P, Lin S, Huang J, Wen H, Huang L, Li H, Feng B, Chen H, Liu Y, Zhang X, Lin Y, Xu S, Li J, Zhuo Y, Hua L, Che L, Wu D, Fang Z. Zearalenone Decreases Food Intake by Disrupting the Gut-Liver-Hypothalamus Axis Signaling via Bile Acids. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:8200-8213. [PMID: 38560889 DOI: 10.1021/acs.jafc.4c00421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Zearalenone (ZEN) is a mycotoxin that is harmful to humans and animals. In this study, female and male rats were exposed to ZEN, and the results showed that ZEN reduced the farnesoid X receptor (FXR) expression levels in the liver and disrupted the enterohepatic circulation of bile acids (BAs). A decrease in food intake induced by ZEN was negatively correlated with an increase in the level of total BAs. BA-targeted metabolomics revealed that ZEN increased glycochenodeoxycholic acid levels and decreased the ratio of conjugated BAs to unconjugated BAs, which further increased the hypothalamic FXR expression levels. Preventing the increase in total BA levels induced by ZEN via Lactobacillus rhamnosus GG intervention restored the appetite. In conclusion, ZEN disrupted the enterohepatic circulation of BAs to decrease the level of food intake. This study reveals a possible mechanism by which ZEN affects food intake and provides a new approach to decrease the toxic effects of ZEN.
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Affiliation(s)
- Peiqiang Yuan
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
- Key Laboratory of Agricultural Product processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya'an 625014, People's Republic of China
| | - Rongman Ma
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Liang Hu
- Key Laboratory of Agricultural Product processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya'an 625014, People's Republic of China
| | - Ran Li
- Key Laboratory of Agricultural Product processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya'an 625014, People's Republic of China
| | - Peng Wang
- College of Biology Engineering, Henan University of Technology, Zhengzhou 450001, People's Republic of China
| | - Sen Lin
- Key Laboratory of Urban Agriculture in South China, Sericultural & Agri-Food Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, People's Republic of China
| | - Jiancai Huang
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Hongmei Wen
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Lingjie Huang
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
- Key Laboratory of Agricultural Product processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya'an 625014, People's Republic of China
| | - Hua Li
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Bin Feng
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Hong Chen
- Key Laboratory of Agricultural Product processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya'an 625014, People's Republic of China
| | - Yuntao Liu
- Key Laboratory of Agricultural Product processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya'an 625014, People's Republic of China
| | - Xiaoling Zhang
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Yan Lin
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Shengyu Xu
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Jian Li
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Yong Zhuo
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Lun Hua
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Lianqiang Che
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - De Wu
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
| | - Zhengfeng Fang
- Key Laboratory for Animal Disease Resistance Nutrition of the Ministry of Education, Animal Nutrition Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang District, Chengdu 611130, People's Republic of China
- Key Laboratory of Agricultural Product processing and Nutrition Health (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, College of Food Science, Sichuan Agricultural University, Ya'an 625014, People's Republic of China
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Wang S, Zhou S, Han Z, Yu B, Xu Y, Lin Y, Chen Y, Jin Z, Li Y, Cao Q, Xu Y, Zhang Q, Wang YC. From gut to brain: understanding the role of microbiota in inflammatory bowel disease. Front Immunol 2024; 15:1384270. [PMID: 38576620 PMCID: PMC10991805 DOI: 10.3389/fimmu.2024.1384270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
With the proposal of the "biological-psychological-social" model, clinical decision-makers and researchers have paid more attention to the bidirectional interactive effects between psychological factors and diseases. The brain-gut-microbiota axis, as an important pathway for communication between the brain and the gut, plays an important role in the occurrence and development of inflammatory bowel disease. This article reviews the mechanism by which psychological disorders mediate inflammatory bowel disease by affecting the brain-gut-microbiota axis. Research progress on inflammatory bowel disease causing "comorbidities of mind and body" through the microbiota-gut-brain axis is also described. In addition, to meet the needs of individualized treatment, this article describes some nontraditional and easily overlooked treatment strategies that have led to new ideas for "psychosomatic treatment".
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Affiliation(s)
- Siyu Wang
- Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- Department of Gastroenterology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Shuwei Zhou
- Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Zhongyu Han
- Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Bin Yu
- Department of Gastroenterology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Yin Xu
- Department of Gastroenterology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Yumeng Lin
- Eye School of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yutong Chen
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zi Jin
- Department of Anesthesiology and Pain Rehabilitation, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Yalong Li
- Anorectal Department, The Third Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming, China
| | - Qinhan Cao
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine (TCM), Chengdu, China
| | - Yunying Xu
- Clinical Medical School, Affiliated Hospital of Chengdu University, Chengdu, China
| | - Qiang Zhang
- Department of Gastroenterology, The First Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Yuan-Cheng Wang
- Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
- Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
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Zhu Q, Qi S, Guo D, Li C, Su M, Wang J, Li Z, Yang D, Sun H, Wang X, Wang M, Wu H, Yu S, Bai W, Zhang Y, Yang X, Jiang L, Liu J, Zhao Y, Xing X, Shi D, Feng L, Sun D. A survey of fecal virome and bacterial community of the diarrhea-affected cattle in northeast China reveals novel disease-associated ecological risk factors. mSystems 2024; 9:e0084223. [PMID: 38108282 PMCID: PMC10804951 DOI: 10.1128/msystems.00842-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 11/06/2023] [Indexed: 12/19/2023] Open
Abstract
Limited information on the virome and bacterial community hampers our ability to discern systemic ecological risk factors that cause cattle diarrhea, which has become a pressing issue in the control of disease. A total of 110 viruses, 1,011 bacterial genera, and 322 complete viral genomes were identified from 70 sequencing samples mixed with 1,120 fecal samples from 58 farms in northeast China. For the diarrheic samples, the identified virome and bacterial community varied in terms of composition, abundance, diversity, and geographic distribution in relation to different disease-associated ecological factors; the abundance of identified viruses and bacteria was significantly correlated with the host factors of clinical status, cattle type, and age, and with environmental factors such as aquaculture model and geographical location (P < 0.05); a significant interaction occurred between viruses and viruses, bacteria and bacteria, as well as between bacteria and viruses (P < 0.05). The abundance of SMB53, Butyrivibrio, Facklamia, Trichococcus, and Turicibacter was significantly correlated with the health status of cattle (P < 0.05). The proportion of BRV, BCoV, BKV, BToV, BoNoV, BoNeV, BoAstV, BEV, BoPV, and BVDV in 1,120 fecal samples varied from 1.61% to 12.05%. A series of significant correlations were observed between the prevalence of individual viruses and the disease-associated ecological factors. A genome-based phylogenetic analysis revealed high variability of 10 bovine enteric viruses. The bovine hungarovirus was initially identified in both dairy and beef cattle in China. This study elucidates the fecal virome and bacterial community signatures of cattle affected by diarrhea, and reveals novel disease-associated ecological risk factors, including cattle type, cattle age, aquaculture model, and geographical location.IMPORTANCEThe lack of data on the virome and bacterial community restricts our capability to recognize ecological risk factors for bovine diarrhea disease, thereby hindering our overall comprehension of the disease's cause. In this study, we found that, for the diarrheal samples, the identified virome and bacterial community varied in terms of composition, abundance, diversity, configuration, and geographic distribution in relation to different disease-associated ecological factors. A series of significant correlations were observed between the prevalence of individual viruses and the disease-associated ecological factors. Our study aims to uncover novel ecological risk factors of bovine diarrheal disease by examining the pathogenic microorganism-host-environment disease ecology, thereby providing a new perspective on the control of bovine diarrheal diseases.
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Affiliation(s)
- Qinghe Zhu
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Shanshan Qi
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Donghua Guo
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Chunqiu Li
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Mingjun Su
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jianfa Wang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Zijian Li
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Dan Yang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Haibo Sun
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Xiaoran Wang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Meijiao Wang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Haoyang Wu
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Shiping Yu
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Wenfei Bai
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Yongchen Zhang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Xu Yang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Limin Jiang
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Jiaying Liu
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Yingying Zhao
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Xiaoxu Xing
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
| | - Da Shi
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, China
| | - Li Feng
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin, China
| | - Dongbo Sun
- Key Laboratory of Bovine Disease Control in Northeast China, Ministry of Agriculture and Rural affairs of the People’s Republic of China, Heilongjiang Provincial Key Laboratory of Prevention and Control of Bovine Diseases, College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing, China
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Molinero N, Antón-Fernández A, Hernández F, Ávila J, Bartolomé B, Moreno-Arribas MV. Gut Microbiota, an Additional Hallmark of Human Aging and Neurodegeneration. Neuroscience 2023; 518:141-161. [PMID: 36893982 DOI: 10.1016/j.neuroscience.2023.02.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 02/10/2023] [Accepted: 02/19/2023] [Indexed: 03/09/2023]
Abstract
Gut microbiota represents a diverse and dynamic population of microorganisms harbouring the gastrointestinal tract, which influences host health and disease. Bacterial colonization of the gastrointestinal tract begins at birth and changes throughout life, with age being one of the conditioning factors for its vitality. Aging is also a primary risk factor for most neurodegenerative diseases. Among them, Alzheimeŕs disease (AD) is probably the one where its association with a state of dysbiosis of the gut microbiota has been most studied. In particular, intestinal microbial-derived metabolites have been associated with β-amyloid formation and brain amyloid deposition, tau phosphorylation, as well as neuroinflammation in AD patients. Moreover, it has been suggested that some oral bacteria increase the risk of developing AD. However, the causal connections among microbiome, amyloid-tau interaction, and neurodegeneration need to be addressed. This paper summarizes the emerging evidence in the literature regarding the link between the oral and gut microbiome and neurodegeneration with a focus on AD. Taxonomic features of bacteria as well as microbial functional alterations associated with AD biomarkers are the main points reviewed. Data from clinical studies as well as the link between microbiome and clinical determinants of AD are particularly emphasized. Further, relationships between gut microbiota and age-dependent epigenetic changes and other neurological disorders are also described. Together, all this evidence suggests that, in some sense, gut microbiota can be seen as an additional hallmark of human aging and neurodegeneration.
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Affiliation(s)
- Natalia Molinero
- Instituto de Investigación en Ciencias de la Alimentación (CIAL), CSIC-UAM. c/ Nicolás Cabrera, 9. 28049 Madrid, Spain
| | - Alejandro Antón-Fernández
- Centro de Biología Molecular Severo Ochoa (CBMSO), CSIC-UAM. c/ Nicolás Cabrera, 1. 28049 Madrid, Spain
| | - Félix Hernández
- Centro de Biología Molecular Severo Ochoa (CBMSO), CSIC-UAM. c/ Nicolás Cabrera, 1. 28049 Madrid, Spain
| | - Jesús Ávila
- Centro de Biología Molecular Severo Ochoa (CBMSO), CSIC-UAM. c/ Nicolás Cabrera, 1. 28049 Madrid, Spain
| | - Begoña Bartolomé
- Instituto de Investigación en Ciencias de la Alimentación (CIAL), CSIC-UAM. c/ Nicolás Cabrera, 9. 28049 Madrid, Spain
| | - M Victoria Moreno-Arribas
- Instituto de Investigación en Ciencias de la Alimentación (CIAL), CSIC-UAM. c/ Nicolás Cabrera, 9. 28049 Madrid, Spain.
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6
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Madani NA, Carpenter DO. Effects of glyphosate and glyphosate-based herbicides like Roundup™ on the mammalian nervous system: A review. ENVIRONMENTAL RESEARCH 2022; 214:113933. [PMID: 35868581 DOI: 10.1016/j.envres.2022.113933] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 07/15/2022] [Accepted: 07/16/2022] [Indexed: 06/15/2023]
Abstract
Glyphosate is the active ingredient in glyphosate-based herbicides (GBHs), such as Roundup™, the most widely used herbicides in the world. Glyphosate targets an essential enzyme in plants that is not found in animals. However, both glyphosate and GBHs are rated as Group 2A, probable human carcinogens, and also have documented effects on reproduction, acting as endocrine disruptive chemicals. We have reviewed reports of the effects of glyphosate and GBHs on mammalian nervous system function. As with several other herbicides, GBHs exposure has been associated with an increased risk of Parkinson's Disease and death of neurons in the substantia nigra. There is also some evidence implicating Roundup™ in elevated risk of autism. Other studies have shown the effects of GBHs on synaptic transmission in animal and cellular studies. The major mechanism of action appears to be oxidative stress, accompanied by mitochondrial dysfunction. In addition, some gut bacteria utilize the enzyme used by plants, and glyphosate and GBHs use has been shown to alter the gut microbiome. There is a large and growing body of evidence that the gut microbiome alters susceptibility to great number of human diseases, including nervous system function. The weight of the evidence indicates that in addition to cancer and reproductive effects, glyphosate and GBHs have significant adverse effects on the brain and behavior and increase the risk of at least some serious neurological diseases.
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Affiliation(s)
- Najm Alsadat Madani
- Department of Environmental Health Science, School of Public Health, 1 University Place, University at Albany, Rensselaer, NY 12144, USA; Institute for Health and the Environment, 5 University Place, University at Albany, Rensselaer, NY 12144, USA
| | - David O Carpenter
- Department of Environmental Health Science, School of Public Health, 1 University Place, University at Albany, Rensselaer, NY 12144, USA; Institute for Health and the Environment, 5 University Place, University at Albany, Rensselaer, NY 12144, USA.
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7
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Ge L, Liu S, Li S, Yang J, Hu G, Xu C, Song W. Psychological stress in inflammatory bowel disease: Psychoneuroimmunological insights into bidirectional gut–brain communications. Front Immunol 2022; 13:1016578. [PMID: 36275694 PMCID: PMC9583867 DOI: 10.3389/fimmu.2022.1016578] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 09/20/2022] [Indexed: 11/13/2022] Open
Abstract
Inflammatory bowel disease (IBD), mainly including ulcerative colitis (UC) and Crohn’s disease (CD), is an autoimmune gastrointestinal disease characterized by chronic inflammation and frequent recurrence. Accumulating evidence has confirmed that chronic psychological stress is considered to trigger IBD deterioration and relapse. Moreover, studies have demonstrated that patients with IBD have a higher risk of developing symptoms of anxiety and depression than healthy individuals. However, the underlying mechanism of the link between psychological stress and IBD remains poorly understood. This review used a psychoneuroimmunology perspective to assess possible neuro-visceral integration, immune modulation, and crucial intestinal microbiome changes in IBD. Furthermore, the bidirectionality of the brain–gut axis was emphasized in the context, indicating that IBD pathophysiology increases the inflammatory response in the central nervous system and further contributes to anxiety- and depression-like behavioral comorbidities. This information will help accurately characterize the link between psychological stress and IBD disease activity. Additionally, the clinical application of functional brain imaging, microbiota-targeted treatment, psychotherapy and antidepressants should be considered during the treatment and diagnosis of IBD with behavioral comorbidities. This review elucidates the significance of more high-quality research combined with large clinical sample sizes and multiple diagnostic methods and psychotherapy, which may help to achieve personalized therapeutic strategies for IBD patients based on stress relief.
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Affiliation(s)
- Li Ge
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Shuman Liu
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Sha Li
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Jing Yang
- Department of Gastroenterology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Guangran Hu
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Changqing Xu
- Department of Gastroenterology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Wengang Song
- Shandong Provincial Key Laboratory for Rheumatic Disease and Translational Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- School of Clinical and Basic Medical Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Wengang Song,
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