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Yao G, Zhao Z, Yang C, Zuo B, Sun Z, Wang J, Zhang H. Evaluating the probiotic effects of spraying lactiplantibacillus plantarum P-8 in neonatal piglets. BMC Microbiol 2024; 24:253. [PMID: 38982403 PMCID: PMC11232343 DOI: 10.1186/s12866-024-03332-2] [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: 01/14/2024] [Accepted: 05/13/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND Gut microbes play an important role in the growth and health of neonatal piglets. Probiotics can promote the healthy growth of neonatal piglets by regulating their gut microbes. The study investigated the effects of spraying Lactiplantibacillus plantarum P-8 (L. plantarum P-8) fermentation broth on the growth performance and gut microbes of neonatal piglets. RESULTS The animals were randomly divided into probiotics groups (109 neonatal piglets) and control groups (113 neonatal piglets). The probiotics group was sprayed with L. plantarum P-8 fermented liquid from 3 day before the expected date of the sow to the 7-day-old of piglets, while the control group was sprayed with equal dose of PBS. Average daily gain (ADG), immune and antioxidant status and metagenome sequencing were used to assess the changes in growth performance and gut microbiota of neonatal piglets. The results showed that L. plantarum P-8 treatment significantly improved the average daily gain (P < 0.05) of neonatal piglets. L. plantarum P-8 increased the activities of CAT and SOD but reduced the levels of IL-2 and IL-6, effectively regulating the antioxidant capacity and immunity in neonatal piglets. L. plantarum P-8 adjusted the overall structure of gut microflora improving gut homeostasis to a certain extent, and significantly increased the relative abundance of gut beneficial bacteria such as L. mucosae and L. plantarum. CONCLUSION Spraying L. plantarum P-8 can be a feasible and effective probiotic intervention not only improving the growth of neonatal piglets, regulating the antioxidant capacity and immunity of neonatal piglets, but also improving the gut homeostasis to a certain extent.
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Affiliation(s)
- Guoqiang Yao
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia, China
| | - Zhixin Zhao
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia, China
| | - Chengcong Yang
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia, China
| | - Bin Zuo
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Zhihong Sun
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia, China
| | - Junjun Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Heping Zhang
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia, China.
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Yu Z, Guo M, Yu B, Wang Y, Yan Z, Gao R. Anorexia nervosa and bulimia nervosa: a Mendelian randomization study of gut microbiota. Front Microbiol 2024; 15:1396932. [PMID: 38784806 PMCID: PMC11111991 DOI: 10.3389/fmicb.2024.1396932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 04/24/2024] [Indexed: 05/25/2024] Open
Abstract
Background Anorexia nervosa (AN) and bulimia nervosa (BN) poses a significant challenge to global public health. Despite extensive research, conclusive evidence regarding the association between gut microbes and the risk of AN and BN remains elusive. Mendelian randomization (MR) methods offer a promising avenue for elucidating potential causal relationships. Materials and methods Genome-wide association studies (GWAS) datasets of AN and BN were retrieved from the OpenGWAS database for analysis. Independent single nucleotide polymorphisms closely associated with 196 gut bacterial taxa from the MiBioGen consortium were identified as instrumental variables. MR analysis was conducted utilizing R software, with outlier exclusion performed using the MR-PRESSO method. Causal effect estimation was undertaken employing four methods, including Inverse variance weighted. Sensitivity analysis, heterogeneity analysis, horizontal multivariate analysis, and assessment of causal directionality were carried out to assess the robustness of the findings. Results A total of 196 bacterial taxa spanning six taxonomic levels were subjected to analysis. Nine taxa demonstrating potential causal relationships with AN were identified. Among these, five taxa, including Peptostreptococcaceae, were implicated as exerting a causal effect on AN risk, while four taxa, including Gammaproteobacteria, were associated with a reduced risk of AN. Similarly, nine taxa exhibiting potential causal relationships with BN were identified. Of these, six taxa, including Clostridiales, were identified as risk factors for increased BN risk, while three taxa, including Oxalobacteraceae, were deemed protective factors. Lachnospiraceae emerged as a common influence on both AN and BN, albeit with opposing effects. No evidence of heterogeneity or horizontal pleiotropy was detected for significant estimates. Conclusion Through MR analysis, we revealed the potential causal role of 18 intestinal bacterial taxa in AN and BN, including Lachnospiraceae. It provides new insights into the mechanistic basis and intervention targets of gut microbiota-mediated AN and BN.
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Affiliation(s)
- Zongliang Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Manping Guo
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Postdoctoral Research Station, China Academy of Chinese Medical Sciences, Beijing, China
- Postdoctoral Works Station, Yabao Pharmaceutical Group Co., Ltd., Yuncheng, China
| | - Binyang Yu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yiming Wang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zian Yan
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Rui Gao
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Budden KF, Shukla SD, Bowerman KL, Vaughan A, Gellatly SL, Wood DLA, Lachner N, Idrees S, Rehman SF, Faiz A, Patel VK, Donovan C, Alemao CA, Shen S, Amorim N, Majumder R, Vanka KS, Mason J, Haw TJ, Tillet B, Fricker M, Keely S, Hansbro N, Belz GT, Horvat J, Ashhurst T, van Vreden C, McGuire H, Fazekas de St Groth B, King NJC, Crossett B, Cordwell SJ, Bonaguro L, Schultze JL, Hamilton-Williams EE, Mann E, Forster SC, Cooper MA, Segal LN, Chotirmall SH, Collins P, Bowman R, Fong KM, Yang IA, Wark PAB, Dennis PG, Hugenholtz P, Hansbro PM. Faecal microbial transfer and complex carbohydrates mediate protection against COPD. Gut 2024; 73:751-769. [PMID: 38331563 DOI: 10.1136/gutjnl-2023-330521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 01/08/2024] [Indexed: 02/10/2024]
Abstract
OBJECTIVE Chronic obstructive pulmonary disease (COPD) is a major cause of global illness and death, most commonly caused by cigarette smoke. The mechanisms of pathogenesis remain poorly understood, limiting the development of effective therapies. The gastrointestinal microbiome has been implicated in chronic lung diseases via the gut-lung axis, but its role is unclear. DESIGN Using an in vivo mouse model of cigarette smoke (CS)-induced COPD and faecal microbial transfer (FMT), we characterised the faecal microbiota using metagenomics, proteomics and metabolomics. Findings were correlated with airway and systemic inflammation, lung and gut histopathology and lung function. Complex carbohydrates were assessed in mice using a high resistant starch diet, and in 16 patients with COPD using a randomised, double-blind, placebo-controlled pilot study of inulin supplementation. RESULTS FMT alleviated hallmark features of COPD (inflammation, alveolar destruction, impaired lung function), gastrointestinal pathology and systemic immune changes. Protective effects were additive to smoking cessation, and transfer of CS-associated microbiota after antibiotic-induced microbiome depletion was sufficient to increase lung inflammation while suppressing colonic immunity in the absence of CS exposure. Disease features correlated with the relative abundance of Muribaculaceae, Desulfovibrionaceae and Lachnospiraceae family members. Proteomics and metabolomics identified downregulation of glucose and starch metabolism in CS-associated microbiota, and supplementation of mice or human patients with complex carbohydrates improved disease outcomes. CONCLUSION The gut microbiome contributes to COPD pathogenesis and can be targeted therapeutically.
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Affiliation(s)
- Kurtis F Budden
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Shakti D Shukla
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Kate L Bowerman
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Annalicia Vaughan
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Shaan L Gellatly
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - David L A Wood
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Nancy Lachner
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Sobia Idrees
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Saima Firdous Rehman
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Alen Faiz
- Respiratory Bioinformatics and Molecular Biology, School of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia
| | - Vyoma K Patel
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Chantal Donovan
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Charlotte A Alemao
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Sj Shen
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Nadia Amorim
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Rajib Majumder
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Kanth S Vanka
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Jazz Mason
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Tatt Jhong Haw
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Bree Tillet
- Frazer Institute, University of Queensland, Woolloongabba, QLD, Australia
| | - Michael Fricker
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Simon Keely
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Nicole Hansbro
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
| | - Gabrielle T Belz
- Frazer Institute, University of Queensland, Woolloongabba, QLD, Australia
| | - Jay Horvat
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Thomas Ashhurst
- Sydney Cytometry, Charles Perkins Centre, Centenary Institute and The University of Sydney, Sydney, NSW, Australia
- Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Caryn van Vreden
- Sydney Cytometry, Charles Perkins Centre, Centenary Institute and The University of Sydney, Sydney, NSW, Australia
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Helen McGuire
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Barbara Fazekas de St Groth
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Nicholas J C King
- Sydney Cytometry, Charles Perkins Centre, Centenary Institute and The University of Sydney, Sydney, NSW, Australia
- Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
- Ramaciotti Facility for Human Systems Biology, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
- Discipline of Pathology, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Ben Crossett
- Sydney Mass Spectrometry, The University of Sydney, Sydney, NSW, Australia
| | - Stuart J Cordwell
- Sydney Mass Spectrometry, The University of Sydney, Sydney, NSW, Australia
- School of Life and Environmental Sciences, Charles Perkins Centre and The University of Sydney, Sydney, NSW, Australia
| | - Lorenzo Bonaguro
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Joachim L Schultze
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
- PRECISE Platform for Single Cell Genomics and Epigenomics, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) and the University of Bonn, Bonn, Germany
| | | | - Elizabeth Mann
- Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Samuel C Forster
- Centre for Innate Immunity and Infectious Diseases and Department of Molecular and Translational Science, Hudson Institute of Medical Research and Monash University, Melbourne, VIC, Australia
| | - Matthew A Cooper
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Leopoldo N Segal
- Division of Pulmonary and Critical Care Medicine, Laura and Isaac Perlmutter Cancer Center, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA
| | - Sanjay H Chotirmall
- Lee Kong Chian School of Medicine, Translational Respiratory Research Laboratory, Singapore
| | - Peter Collins
- Mater Research Institute, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
- Department of Dietetics & Food Services, Mater Hospital, Brisbane, QLD, Australia
| | - Rayleen Bowman
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Kwun M Fong
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Ian A Yang
- UQ Thoracic Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
- Department of Thoracic Medicine, The Prince Charles Hospital, Chermside, QLD, Australia
| | - Peter A B Wark
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - Paul G Dennis
- School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Philip Hugenholtz
- School of Chemistry and Molecular Biosciences, Australian Centre for Ecogenomics, The University of Queensland, Brisbane, QLD, Australia
| | - Philip M Hansbro
- Priority Research Centre for Healthy Lungs and Immune Health Research Program, The University of Newcastle and Hunter Medical Research Institute, Newcastle, NSW, Australia
- Centre for Inflammation, Centenary Institute, Sydney, NSW, Australia
- School of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, NSW, Australia
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Foldi CJ. Taking better advantage of the activity-based anorexia model. Trends Mol Med 2024; 30:330-338. [PMID: 38103992 DOI: 10.1016/j.molmed.2023.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 11/02/2023] [Accepted: 11/17/2023] [Indexed: 12/19/2023]
Abstract
The lack of specific treatments for anorexia nervosa (AN) is partly driven by an inadequate understanding of the neurobiological drivers of the condition. The activity-based anorexia (ABA) model recapitulates key characteristics of AN in rats and mice, and can be used to understand factors that predispose, maintain, and rescue anorectic behaviour. With the rapidly evolving suite of technologies to manipulate and record neural activity during the development of ABA, we are better placed than ever before to take advantage of this unique biobehavioural model in order to develop and refine novel treatments for AN. This will require a collective effort to bridge research disciplines in order to capitalise on knowledge gains from genetics, neurobiology, metabolism, and cognition.
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Affiliation(s)
- Claire J Foldi
- Monash University, Department of Physiology, 26 Innovation Walk, Clayton, VIC 3800, Australia; Monash Biomedicine Discovery Institute, 23 Innovation Walk, Clayton, VIC 3800, Australia.
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Salaün C, Courvalet M, Rousseau L, Cailleux K, Breton J, Bôle-Feysot C, Guérin C, Huré M, Goichon A, do Rego JC, Déchelotte P, Ribet D, Achamrah N, Coëffier M. Sex-dependent circadian alterations of both central and peripheral clock genes expression and gut-microbiota composition during activity-based anorexia in mice. Biol Sex Differ 2024; 15:6. [PMID: 38217033 PMCID: PMC10785476 DOI: 10.1186/s13293-023-00576-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/16/2023] [Indexed: 01/14/2024] Open
Abstract
RATIONALE Patients with anorexia nervosa (AN) often present sleep disorders and circadian hormonal dysregulation. The role of the microbiota-gut-brain axis in the regulation of feeding behavior has emerged during the last decades but its relationships with the circadian rhythm remains poorly documented. Thus, we aimed to characterize the circadian clock genes expression in peripheral and central tissues in the activity-based anorexia mouse model (ABA), as well as the dynamics of the gut-microbiota composition. METHODS From day 1 to day 17, male and female C57Bl/6 mice were submitted or not to the ABA protocol (ABA and control (CT) groups), which combines a progressive limited access to food and a free access to a running wheel. At day 17, fasted CT and ABA mice were euthanized after either resting (EoR) or activity (EoA) phase (n = 10-12 per group). Circadian clock genes expression was assessed by RT-qPCR on peripheral (liver, colon and ileum) and central (hypothalamic suprachiasmatic nucleus or SCN) tissues. Cecal bacterial taxa abundances were evaluated by qPCR. Data were compared by two-way ANOVA followed by post-tests. RESULTS ABA mice exhibited a lower food intake, a body weight loss and an increase of diurnal physical activity that differ according with the sex. Interestingly, in the SCN, only ABA female mice exhibited altered circadian clock genes expression (Bmal1, Per1, Per2, Cry1, Cry2). In the intestinal tract, modification of clock genes expression was also more marked in females compared to males. For instance, in the ileum, female mice showed alteration of Bmal1, Clock, Per1, Per2, Cry1, Cry2 and Rev-erbα mRNA levels, while only Per2 and Cry1 mRNAs were affected by ABA model in males. By contrast, in the liver, clock genes expression was more markedly affected in males compared to females in response to ABA. Finally, circadian variations of gut-bacteria abundances were observed in both male and female mice and sex-dependent alteration were observed in response to the ABA model. CONCLUSIONS This study shows that alteration of circadian clock genes expression at both peripheral and central levels occurs in response to the ABA model. In addition, our data underline that circadian variations of the gut-microbiota composition are sex-dependent.
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Affiliation(s)
- Colin Salaün
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Marine Courvalet
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Léna Rousseau
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Kévin Cailleux
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Jonathan Breton
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Christine Bôle-Feysot
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Charlène Guérin
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Marion Huré
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Alexis Goichon
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Jean-Claude do Rego
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
- Univ Rouen Normandie, Inserm, CNRS, Normandie Univ, HERACLES US 51 UAR 2026, Behavioural Analysis Platform SCAC, 76000, Rouen, France
| | - Pierre Déchelotte
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
- Department of Nutrition, CHU Rouen, 76000, Rouen, France
| | - David Ribet
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
| | - Najate Achamrah
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France
- Department of Nutrition, CHU Rouen, 76000, Rouen, France
| | - Moïse Coëffier
- Univ Rouen Normandie, INSERM, Normandie Univ, ADEN UMR 1073, Nutrition Inflammation and Microbiota Gut Brain Axis, UFR Santé, 22 Boulevard Gambetta, 76183, Rouen Cedex, France.
- Univ Rouen Normandie, Institute for Research and Innovation in Biomedicine (IRIB), 76000, Rouen, France.
- Department of Nutrition, CHU Rouen, 76000, Rouen, France.
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Aggarwal N, Kitano S, Puah GRY, Kittelmann S, Hwang IY, Chang MW. Microbiome and Human Health: Current Understanding, Engineering, and Enabling Technologies. Chem Rev 2023; 123:31-72. [PMID: 36317983 PMCID: PMC9837825 DOI: 10.1021/acs.chemrev.2c00431] [Citation(s) in RCA: 54] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Indexed: 01/12/2023]
Abstract
The human microbiome is composed of a collection of dynamic microbial communities that inhabit various anatomical locations in the body. Accordingly, the coevolution of the microbiome with the host has resulted in these communities playing a profound role in promoting human health. Consequently, perturbations in the human microbiome can cause or exacerbate several diseases. In this Review, we present our current understanding of the relationship between human health and disease development, focusing on the microbiomes found across the digestive, respiratory, urinary, and reproductive systems as well as the skin. We further discuss various strategies by which the composition and function of the human microbiome can be modulated to exert a therapeutic effect on the host. Finally, we examine technologies such as multiomics approaches and cellular reprogramming of microbes that can enable significant advancements in microbiome research and engineering.
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Affiliation(s)
- Nikhil Aggarwal
- NUS
Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore 117456, Singapore
- Synthetic
Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
| | - Shohei Kitano
- NUS
Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore 117456, Singapore
- Synthetic
Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
| | - Ginette Ru Ying Puah
- NUS
Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore 117456, Singapore
- Synthetic
Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- Wilmar-NUS
(WIL@NUS) Corporate Laboratory, National
University of Singapore, Singapore 117599, Singapore
- Wilmar
International Limited, Singapore 138568, Singapore
| | - Sandra Kittelmann
- Wilmar-NUS
(WIL@NUS) Corporate Laboratory, National
University of Singapore, Singapore 117599, Singapore
- Wilmar
International Limited, Singapore 138568, Singapore
| | - In Young Hwang
- NUS
Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore 117456, Singapore
- Synthetic
Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- Department
of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore
- Singapore
Institute of Technology, Singapore 138683, Singapore
| | - Matthew Wook Chang
- NUS
Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Singapore 117456, Singapore
- Synthetic
Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456, Singapore
- Wilmar-NUS
(WIL@NUS) Corporate Laboratory, National
University of Singapore, Singapore 117599, Singapore
- Department
of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore
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7
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Qing H, Huang S, Zhan K, Zhao L, Zhang J, Ji C, Ma Q. Combined Toxicity Evaluation of Ochratoxin A and Aflatoxin B1 on Kidney and Liver Injury, Immune Inflammation, and Gut Microbiota Alteration Through Pair-Feeding Pullet Model. Front Immunol 2022; 13:920147. [PMID: 35967406 PMCID: PMC9373725 DOI: 10.3389/fimmu.2022.920147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/13/2022] [Indexed: 12/13/2022] Open
Abstract
Ochratoxin A (OTA) and aflatoxin B1 (AFB1) are often co-contaminated, but their synergistic toxicity in poultry is limitedly described. Furthermore, the traditional ad libitum feeding model may fail to distinguish the specific impact of mycotoxins on the biomarkers and the indirect effect of mildew on the palatability of feed. A pair-feeding model was introduced to investigate the specific effect and the indirect effect of the combined toxicity of OTA and AFB1, which were independent and dependent on feed intake, respectively. A total of 180 one-day-old pullets were randomly divided into 3 groups with 6 replicates, and each replicate contained 10 chicks. The control group (Group A) and the pair-feeding group (Group B) received the basal diet without mycotoxin contamination. Group C was administrated with OTA- and AFB1-contaminated feed (101.41 μg/kg of OTA + 20.10 μg/kg of AFB1). The scale of feeding in Group B matched with the feed intake of Group C. The trial lasted 42 days. Compared with the control group, co-contamination of OTA and AFB1 in feed could adversely affect the growth performance (average daily feed intake (ADFI), body weight (BW), average daily weight gain (ADG), feed conversion ratio (FCR), and shank length (SL)), decrease the relative weight of the spleen (p < 0.01), and increase the relative weight of the kidney (p < 0.01). Moreover, the reduction of feed intake could also adversely affect the growth performance (BW, ADG, and SL), but not as severely as mycotoxins do. Apart from that, OTA and AFB1 also activated the antioxidative and inflammation reactions of chicks, increasing the level of catalase (CAT), reactive oxygen species (ROS), and interleukin-8 (IL-8) while decreasing the level of IL-10 (p < 0.01), which was weakly influenced by the feed intake reduction. In addition, OTA and AFB1 induced histopathological changes and apoptosis in the kidney and liver as well as stimulated the growth of pernicious bacteria to cause toxic effects. There were no histopathological changes and apoptosis in the kidney and liver of the pair-feeding group. The combined toxicity of OTA and AFB1 had more severe effects on pullets than merely reducing feed supply. However, the proper reduction of the feed intake could improve pullets’ physical health by enriching the bacteria Lactobacillus, Phascolarctobacterium, Bacteroides, Parabacteroides, and Barnesiella.
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Affiliation(s)
- Hanrui Qing
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shimeng Huang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Kai Zhan
- Anhui Province Key Laboratory of Livestock and Poultry Product Safety Engineering, Anhui Academy of Agricultural Sciences, Hefei, China
| | - Lihong Zhao
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jianyun Zhang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Cheng Ji
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Qiugang Ma
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
- *Correspondence: Qiugang Ma,
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8
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Ma Y, Lu C, Ji B, Qin J, Cai C, Yang Y, Zhao Y, Liang G, Guo X, Cao G, Li B, Gao P. Integrated Omics Analysis Reveals Alterations in the Intestinal Microbiota and Metabolites of Piglets After Starvation. Front Microbiol 2022; 13:881099. [PMID: 35783381 PMCID: PMC9240708 DOI: 10.3389/fmicb.2022.881099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/11/2022] [Indexed: 11/13/2022] Open
Abstract
Obesity is a serious public health problem. Short-term starvation is an effective way to lose weight but can also cause harm to the body. However, a systematic assessment of the relationship between the intestinal microbiota and metabolites after complete fasting is lacking. Pigs are the best animal models for exploring the mechanisms of human nutrition digestion and absorption, metabolism, and disease treatment. In this study, 16S rRNA sequencing and liquid chromatography-mass spectrometry were used to analyze the changes in the intestinal microbiota and metabolite profiles in piglets under starvation stress. The results show that the microbial composition was changed significantly in the starvation groups compared with the control group (P < 0.05), suggesting that shifts in the microbial composition were induced by starvation stress. Furthermore, differences in the correlation of the intestinal microbiota and metabolites were observed in the different experimental groups. Starvation may disrupt the homeostasis of the intestinal microbiota and metabolite profile and affect the health of piglets. However, piglets can regulate metabolite production to compensate for the effects of short-term starvation. Our results provide a background to explore the mechanism of diet and short-term hunger for intestinal homeostasis.
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Abstract
Eating disorders (anorexia nervosa, bulimia nervosa and binge-eating disorder) are a heterogeneous class of complex illnesses marked by weight and appetite dysregulation coupled with distinctive behavioral and psychological features. Our understanding of their genetics and neurobiology is evolving thanks to global cooperation on genome-wide association studies, neuroimaging, and animal models. Until now, however, these approaches have advanced the field in parallel, with inadequate cross-talk. This review covers overlapping advances in these key domains and encourages greater integration of hypotheses and findings to create a more unified science of eating disorders. We highlight ongoing and future work designed to identify implicated biological pathways that will inform staging models based on biology as well as targeted prevention and tailored intervention, and will galvanize interest in the development of pharmacologic agents that target the core biology of the illnesses, for which we currently have few effective pharmacotherapeutics.
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10
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Spadini S, Ferro M, Lamanna J, Malgaroli A. Activity-based anorexia animal model: a review of the main neurobiological findings. J Eat Disord 2021; 9:123. [PMID: 34600568 PMCID: PMC8487535 DOI: 10.1186/s40337-021-00481-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/15/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The genesis of anorexia nervosa (AN), a severe eating disorder with a pervasive effect on many brain functions such as attention, emotions, reward processing, cognition and motor control, has not yet been understood. Since our current knowledge of the genetic aspects of AN is limited, we are left with a large and diversified number of biological, psychological and environmental risk factors, called into question as potential triggers of this chronic condition with a high relapse rate. One of the most valid and used animal models for AN is the activity-based anorexia (ABA), which recapitulates important features of the human condition. This model is generated from naïve rodents by a self-motivated caloric restriction, where a fixed schedule food delivery induces spontaneous increased physical activity. AIM In this review, we sought to provide a summary of the experimental research conducted using the ABA model in the pursuit of potential neurobiological mechanism(s) underlying AN. METHOD The experimental work presented here includes evidence for neuroanatomical and neurophysiological changes in several brain regions as well as for the dysregulation of specific neurochemical synaptic and neurohormonal pathways. RESULTS The most likely hypothesis for the mechanism behind the development of the ABA phenotype relates to an imbalance of the neural circuitry that mediates reward processing. Evidence collected here suggests that ABA animals show a large set of alterations, involving regions whose functions extend way beyond the control of reward mechanisms and eating habits. Hence, we cannot exclude a primary role of these alterations from a mechanistic theory of ABA induction. CONCLUSIONS These findings are not sufficient to solve such a major enigma in neuroscience, still they could be used to design ad hoc further experimental investigation. The prospect is that, since treatment of AN is still challenging, the ABA model could be more effectively used to shed light on the complex AN neurobiological framework, thus supporting the future development of therapeutic strategies but also the identification of biomarkers and diagnostic tools. Anorexia Nervosa (AN) is a severe eating disorder with a dramatic effect on many functions of our brain, such as attention, emotions, cognition and motion control. Since our current knowledge of the genetic aspects behind the development of AN is still limited, many biological, psychological and environmental factors must be taken into account as potential triggers of this condition. One of the most valid animal models for studying AN is the activity-based anorexia (ABA). In this model, rodents spontaneously limit food intake and start performing increased physical activity on a running wheel, a result of the imposition of a fixed time schedule for food delivery. In this review, we provide a detailed summary of the experimental research conducted using the ABA model, which includes extended evidence for changes in the anatomy and function of the brain of ABA rodents. The hope is that such integrated view will support the design of future experiments that will shed light on the complex brain mechanisms behind AN. Such advanced knowledge is crucial to find new, effective strategies for both the early diagnosis of AN and for its treatment.
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Affiliation(s)
- Sara Spadini
- Center for Behavioral Neuroscience and Communication (BNC), Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
| | - Mattia Ferro
- Center for Behavioral Neuroscience and Communication (BNC), Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Psychology, Sigmund Freud University, Milan, Italy
| | - Jacopo Lamanna
- Center for Behavioral Neuroscience and Communication (BNC), Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Faculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy
| | - Antonio Malgaroli
- Center for Behavioral Neuroscience and Communication (BNC), Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy.
- Faculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy.
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11
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Butler MJ, Perrini AA, Eckel LA. The Role of the Gut Microbiome, Immunity, and Neuroinflammation in the Pathophysiology of Eating Disorders. Nutrients 2021; 13:nu13020500. [PMID: 33546416 PMCID: PMC7913528 DOI: 10.3390/nu13020500] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/19/2021] [Accepted: 01/29/2021] [Indexed: 12/23/2022] Open
Abstract
There is a growing recognition that both the gut microbiome and the immune system are involved in a number of psychiatric illnesses, including eating disorders. This should come as no surprise, given the important roles of diet composition, eating patterns, and daily caloric intake in modulating both biological systems. Here, we review the evidence that alterations in the gut microbiome and immune system may serve not only to maintain and exacerbate dysregulated eating behavior, characterized by caloric restriction in anorexia nervosa and binge eating in bulimia nervosa and binge eating disorder, but may also serve as biomarkers of increased risk for developing an eating disorder. We focus on studies examining gut dysbiosis, peripheral inflammation, and neuroinflammation in each of these eating disorders, and explore the available data from preclinical rodent models of anorexia and binge-like eating that may be useful in providing a better understanding of the biological mechanisms underlying eating disorders. Such knowledge is critical to developing novel, highly effective treatments for these often intractable and unremitting eating disorders.
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Affiliation(s)
- Michael J. Butler
- Institute for Behavioral Medicine Research, Ohio State University Wexner Medical Center, Columbus, OH 43210, USA;
| | - Alexis A. Perrini
- Department of Psychology and Program in Neuroscience, Florida State University, Tallahassee, FL 32306, USA;
| | - Lisa A. Eckel
- Department of Psychology and Program in Neuroscience, Florida State University, Tallahassee, FL 32306, USA;
- Correspondence: ; Tel.: +1-850-644-3480
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12
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Zhang J, Dulawa SC. The Utility of Animal Models for Studying the Metabo-Psychiatric Origins of Anorexia Nervosa. Front Psychiatry 2021; 12:711181. [PMID: 34721100 PMCID: PMC8551379 DOI: 10.3389/fpsyt.2021.711181] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/17/2021] [Indexed: 11/15/2022] Open
Abstract
Anorexia nervosa (AN) is a severe eating disorder that primarily affects young women and girls, and is characterized by abnormal restrictive feeding and a dangerously low body-mass index. AN has one of the highest mortality rates of any psychiatric disorder, and no approved pharmacological treatments exist. Current psychological and behavioral treatments are largely ineffective, and relapse is common. Relatively little basic research has examined biological mechanisms that underlie AN compared to other major neuropsychiatric disorders. A recent large-scale genome-wide association study (GWAS) revealed that the genetic architecture of AN has strong metabolic as well as psychiatric origins, suggesting that AN should be reconceptualized as a metabo-psychiatric disorder. Therefore, identifying the metabo-psychiatric mechanisms that contribute to AN may be essential for developing effective treatments. This review focuses on animal models for studying the metabo-psychiatric mechanisms that may contribute to AN, with a focus on the activity-based anorexia (ABA) paradigm. We also highlight recent work using modern circuit-dissecting neuroscience techniques to uncover metabolic mechanisms that regulate ABA, and encourage further work to ultimately identify novel treatment strategies for AN.
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Affiliation(s)
- Jie Zhang
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Stephanie C Dulawa
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
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13
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Host Starvation and Female Sex Influence Enterobacterial ClpB Production: A Possible Link to the Etiology of Eating Disorders. Microorganisms 2020; 8:microorganisms8040530. [PMID: 32272706 PMCID: PMC7232239 DOI: 10.3390/microorganisms8040530] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/31/2020] [Accepted: 04/03/2020] [Indexed: 12/16/2022] Open
Abstract
Altered signaling between gut bacteria and their host has recently been implicated in the pathophysiology of eating disorders, whereas the enterobacterial caseinolytic protease B (ClpB) may play a key role as an antigen mimetic of α-melanocyte-stimulating hormone, an anorexigenic neuropeptide. Here, we studied whether ClpB production by gut bacteria can be modified by chronic food restriction and female sex, two major risk factors for the development of eating disorders. We found that food restriction increased ClpB DNA in feces and ClpB protein in plasma in both male and female rats, whereas females displayed elevated basal ClpB protein levels in the lower gut and plasma as well as increased ClpB-reactive immunoglobulins (Ig)M and IgG. In contrast, direct application of estradiol in E. coli cultures decreased ClpB concentrations in bacteria, while testosterone had no effect. Thus, these data support a mechanistic link between host-dependent risk factors of eating disorders and the enterobacterial ClpB protein production.
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14
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Ghenciulescu A, Park RJ, Burnet PWJ. The Gut Microbiome in Anorexia Nervosa: Friend or Foe? Front Psychiatry 2020; 11:611677. [PMID: 33510660 PMCID: PMC7835121 DOI: 10.3389/fpsyt.2020.611677] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 11/23/2020] [Indexed: 12/11/2022] Open
Abstract
The human gut microbiome is emerging as a key modulator of homeostasis, with far-reaching implications for various multifactorial diseases, including anorexia nervosa (AN). Despite significant morbidity and mortality, the underlying mechanisms of this eating disorder are poorly understood, but the classical view defining AN as a purely psychiatric condition is increasingly being challenged. Accumulating evidence from comparative studies of AN and healthy fecal microbial composition reveals considerable low divergence and altered taxonomic abundance of the AN gut microbiome. When integrated with preclinical data, these findings point to a significant role of the gut microbiome in AN pathophysiology, via effects on host energy metabolism, intestinal permeability, immune function, appetite, and behavior. While complex causal relationships between genetic risk factors, dietary patterns and microbiome, and their relevance for AN onset and perpetuation have not been fully elucidated, preliminary clinical studies support the use of microbiome-based interventions such as fecal microbiota transplants and probiotics as adjuvants to standard AN therapies. Future research should aim to move from observational to mechanistic, as dissecting how specific microbial taxa interact with the host to impact the development of AN could help design novel therapeutic approaches that more effectively address the severe comorbidities and high relapse rate of this serious disorder.
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Affiliation(s)
- Ana Ghenciulescu
- Oxford Medical School, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Rebecca J Park
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Philip W J Burnet
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
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