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Guo J, Song C, Liu Y, Wu X, Dong W, Zhu H, Xiang Z, Qin C. Characteristics of gut microbiota in representative mice strains: Implications for biological research. Animal Model Exp Med 2022; 5:337-349. [PMID: 35892142 PMCID: PMC9434578 DOI: 10.1002/ame2.12257] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/08/2022] [Indexed: 12/03/2022] Open
Abstract
Background Experimental animals are used to study physiological phenomena, pathological mechanisms, and disease prevention. The gut microbiome is known as a potential confounding factor for inconsistent data from preclinical studies. Although many gut microbiome studies have been conducted in recent decades, few have focused on gut microbiota fluctuation among representative mouse strains. Methods A range of frequently used mouse strains were selected from 34 isolation packages representing disease‐related animal (DRA), immunity defect animal (IDA), or gene‐editing animal (GEA) from the BALB/c and C57BL/6J backgrounds together with normal mice, and their microbial genomic DNA were isolated from mouse feces to sequence for the exploration of gut microbiota. Results Mouse background strain, classification, introduced source, introduced year, and reproduction type significantly affected the gut microbiota structure (p < 0.001 for all parameters), with background strain contributing the greatest influence (R2 = 0.237). In normal groups, distinct gut microbiota types existed in different mouse strains. Sixty‐four core operational taxonomic units were obtained from normal mice, and 12 belonged to Lactobacillus. Interestingly, the gut microbiota in C57BL/6J was more stable than that in BALB/c mice. Furthermore, the gut microbiota in the IDA, GEA, and DRA groups significantly differed from that in normal groups (p < 0.001 for all). Compared with the normal group, there was a significantly higher Chao1 and Shannon index (p < 0.001 for all) in the IDA, GEA, and DRA groups. Markedly changed classes occurred with Firmicutes and Bacteroidetes. The abundances of Helicobacter, Blautia, Enterobacter, Bacillus, Clostridioides, Paenibacillus, and Clostridiales all significantly decreased in the IDA, GEA, and DRA groups, whereas those of Saccharimonas, Rikenella, and Odoribacter all significantly increased.
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Affiliation(s)
- Jianguo Guo
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Chenchen Song
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Yunbo Liu
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Xuying Wu
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Wei Dong
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Hua Zhu
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Zhiguang Xiang
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
| | - Chuan Qin
- Key Laboratory of Human Disease Comparative Medicine, Chinese Ministry of Health, Beijing Key Laboratory for Animal Models of Emerging and Remerging Infectious Diseases, Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing, China
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Wu Z, Cheng W, Wang Z, Feng S, Zou H, Tan X, Yang Y, Wang Y, Zhang H, Dong M, Xiao Y, Tao S, Wei H. Intestinal Microbiota and Serum Metabolic Profile Responded to Two Nutritional Different Diets in Mice. Front Nutr 2022; 8:813757. [PMID: 35071302 PMCID: PMC8766985 DOI: 10.3389/fnut.2021.813757] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 12/14/2021] [Indexed: 12/13/2022] Open
Abstract
There is an interaction and bidirectional selection between dietary intake and gut microbiota due to the different efficiency of nutrients in the gut. The nutritional composition of germ-free (GF) diets differs significantly from specific pathogen-free (SPF) diets. There is, however, no data revealing how SPF animals from the same microbial background respond to them and if they affect the host. We examined the growth of SPF mice on the GF diet and found that it reduced body weight, intestinal length and intestinal morphology. Interestingly, the GF diet increased the level of pro-inflammatory bacteria in the gut of SPF mice, including Proteobacteria, Burkholderiaceae, Alloprevotella and Parasutterella. Furthermore, GF diets caused significant increases in malondialdehyde (MDA), IL-1β, IL-6, and D-lactate levels in the serum of SPF mice and significantly altered their serum metabolic profile, especially amino acid metabolism. In conclusion, GF diets are not suitable for the growth and development of SPF mice. These findings, based on the role of gut microbiota in diet selection, provide new insights into the scientific and rational use of experimental animal diets.
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Affiliation(s)
- Zhifeng Wu
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Wei Cheng
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Zhenyu Wang
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Shuaifei Feng
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Huicong Zou
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiang Tan
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yapeng Yang
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yuqing Wang
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Hang Zhang
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Miaomiao Dong
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yingping Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Agro-product Safety and Nutrition, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Shiyu Tao
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
| | - Hong Wei
- College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan, China
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Abstract
Introduction: Gut dysbiosis is assumed to play a role in obstructive sleep apnea (OSA)-associated morbidities. Pre- and probiotics, short chain fatty acids (SCFA) and fecal matter transplantation (FMT) may offer potential as novel therapeutic strategies that target this gut dysbiosis. As more mechanisms of OSA-induced dysbiosis are being elucidated, these novel approaches are being tested in preclinical and clinical development. Areas covered: We examined the evidence linking OSA to gut dysbiosis and discuss the effects of pre- and probiotics on associated cardiometabolic, neurobehavioral and gastrointestinal disorders. The therapeutic potential of SCFA and FMT are also discussed. We reviewed the National Center for Biotechnology Information database, including PubMed and PubMed Central between 2000 - 2020. Expert opinion: To date, there are no clinical trials and only limited evidence from animal studies describing the beneficial effects of pre- and probiotic supplementation on OSA-mediated dysbiosis. Thus, more work is necessary to assess whether prebiotics, probiotics and SCFA are promising future novel strategies for targeting OSA-mediated dysbiosis.
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Affiliation(s)
- Mohammad Badran
- Department of Child Health and the Child Health Research Institute, University of Missouri School of Medicine , Columbia, MO, USA
| | - Saif Mashaqi
- Department of Pulmonary, Critical Care and Sleep Medicine, University of Arizona School of Medicine , Tucson, AZ, USA
| | - David Gozal
- Department of Child Health and the Child Health Research Institute, University of Missouri School of Medicine , Columbia, MO, USA
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Vollert J, Schenker E, Macleod M, Bespalov A, Wuerbel H, Michel M, Dirnagl U, Potschka H, Waldron AM, Wever K, Steckler T, van de Casteele T, Altevogt B, Sil A, Rice ASC. Systematic review of guidelines for internal validity in the design, conduct and analysis of preclinical biomedical experiments involving laboratory animals. BMJ Open Sci 2020; 4:e100046. [PMID: 35047688 PMCID: PMC8647591 DOI: 10.1136/bmjos-2019-100046] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 12/10/2019] [Accepted: 01/15/2020] [Indexed: 02/01/2023] Open
Abstract
Over the last two decades, awareness of the negative repercussions of flaws in the planning, conduct and reporting of preclinical research involving experimental animals has been growing. Several initiatives have set out to increase transparency and internal validity of preclinical studies, mostly publishing expert consensus and experience. While many of the points raised in these various guidelines are identical or similar, they differ in detail and rigour. Most of them focus on reporting, only few of them cover the planning and conduct of studies. The aim of this systematic review is to identify existing experimental design, conduct, analysis and reporting guidelines relating to preclinical animal research. A systematic search in PubMed, Embase and Web of Science retrieved 13 863 unique results. After screening these on title and abstract, 613 papers entered the full-text assessment stage, from which 60 papers were retained. From these, we extracted unique 58 recommendations on the planning, conduct and reporting of preclinical animal studies. Sample size calculations, adequate statistical methods, concealed and randomised allocation of animals to treatment, blinded outcome assessment and recording of animal flow through the experiment were recommended in more than half of the publications. While we consider these recommendations to be valuable, there is a striking lack of experimental evidence on their importance and relative effect on experiments and effect sizes.
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Affiliation(s)
- Jan Vollert
- Pain Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
| | - Esther Schenker
- Institut de Recherches Internationales Servier, Suresnes, Île-de-France, France
| | - Malcolm Macleod
- Centre for Clinical Brain Sciences, Edinburgh Medical School, The University of Edinburgh, Edinburgh, Scotland, UK
| | - Anton Bespalov
- Partnership for Assessment and Accreditation of Scientific Practice, Heidelberg, Germany
- Valdman Institute of Pharmacology, Pavlov First State Medical University of Saint Petersburg, Sankt Petersburg, Russian Federation
| | - Hanno Wuerbel
- Division of Animal Welfare, Vetsuisse Faculty, VPH Institute, University of Bern, Bern, Switzerland
| | - Martin Michel
- Universitätsmedizin Mainz, Johannes Gutenberg Universität Mainz, Mainz, Rheinland-Pfalz, Germany
| | - Ulrich Dirnagl
- Department of Experimental Neurology, Charité–Universitätsmedizin Berlin, Berlin, Germany
| | - Heidrun Potschka
- Institute of Pharmacology, Toxicology, and Pharmacy, Ludwig-Maximilians-Universitat Munchen, Munchen, Bayern, Germany
| | - Ann-Marie Waldron
- Institute of Pharmacology, Toxicology, and Pharmacy, Ludwig-Maximilians-Universitat Munchen, Munchen, Bayern, Germany
| | - Kimberley Wever
- Systematic Review Centre for Laboratory Animal Experimentation, Department for Health Evidence, Nijmegen Institute for Health Sciences, Radboud Universiteit, Nijmegen, Gelderland, Netherlands
| | | | | | | | - Annesha Sil
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Andrew S C Rice
- Pain Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
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Pisetsky DS. Of mice, men and microbes: the impact of the microbiome on immune responses. Ann Rheum Dis 2020; 79:167-169. [PMID: 31988192 DOI: 10.1136/annrheumdis-2020-216936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 01/08/2020] [Indexed: 11/04/2022]
Affiliation(s)
- David S Pisetsky
- Department of Medicine and Immunology, Duke University Medical Center, Durham, North Carolina, USA .,Medical Research Service, VA Medical Center, Durham, North Carolina, USA
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MITCHELL CASSIEM, DAVY BRENDAM, HULVER MATTHEWW, NEILSON ANDREWP, BENNETT BRIANJ, DAVY KEVINP. Does Exercise Alter Gut Microbial Composition? A Systematic Review. Med Sci Sports Exerc 2019; 51:160-167. [DOI: 10.1249/mss.0000000000001760] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Field M, Splevins A, Picaut P, van der Schans M, Langenberg J, Noort D, Snyder D, Foster K. AbobotulinumtoxinA (Dysport ®), OnabotulinumtoxinA (Botox ®), and IncobotulinumtoxinA (Xeomin ®) Neurotoxin Content and Potential Implications for Duration of Response in Patients. Toxins (Basel) 2018; 10:E535. [PMID: 30551641 DOI: 10.3390/toxins10120535] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 12/05/2018] [Accepted: 12/11/2018] [Indexed: 01/12/2023] Open
Abstract
Botulinum neurotoxin type-A (BoNT-A) blocks the release of acetylcholine from peripheral cholinergic nerve terminals and is an important option for the treatment of disorders characterised by excessive cholinergic neuronal activity. Several BoNT-A products are currently marketed, each with unique manufacturing processes, excipients, formulation, and non-interchangeable potency units. Nevertheless, the effects of all the products are mediated by the 150 kDa BoNT-A neurotoxin. We assessed the quantity and light chain (LC) activity of BoNT-A in three commercial BoNT-A products (Dysport®; Botox®; Xeomin®). We quantified 150 kDa BoNT-A by sandwich ELISA and assessed LC activity by EndoPep assay. In both assays, we assessed the results for the commercial products against recombinant 150 kDa BoNT-A. The mean 150 kDa BoNT-A content per vial measured by ELISA was 2.69 ng/500 U vial Dysport®, 0.90 ng/100 U vial Botox®, and 0.40 ng/100 U vial Xeomin®. To present clinically relevant results, we calculated the 150 kDa BoNT-A/US Food and Drug Administration (FDA)-approved dose in adult upper limb spasticity: 5.38 ng Dysport® (1000 U; 2 × 500 U vials), 3.60 ng Botox® (400 U; 4 × 100 U vials), and 1.61 ng Xeomin® (400 U; 4 × 100 U vials). EndoPep assay showed similar LC activity among BoNT-A products. Thus, greater amounts of active neurotoxin are injected with Dysport®, at FDA-approved doses, than with other products. This fact might explain the long duration of action reported across multiple indications, which benefits patients, caregivers, clinicians, and healthcare systems.
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Liang D, Leung RKK, Guan W, Au WW. Involvement of gut microbiome in human health and disease: brief overview, knowledge gaps and research opportunities. Gut Pathog 2018; 10:3. [PMID: 29416567 PMCID: PMC5785832 DOI: 10.1186/s13099-018-0230-4] [Citation(s) in RCA: 116] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Accepted: 01/16/2018] [Indexed: 02/06/2023] Open
Abstract
The commensal, symbiotic, and pathogenic microbial community which resides inside our body and on our skin (the human microbiome) can perturb host energy metabolism and immunity, and thus significantly influence development of a variety of human diseases. Therefore, the field has attracted unprecedented attention in the last decade. Although a large amount of data has been generated, there are still many unanswered questions and no universal agreements on how microbiome affects human health have been agreed upon. Consequently, this review was written to provide an updated overview of the rapidly expanding field, with a focus on revealing knowledge gaps and research opportunities. Specifically, the review covered animal physiology, optimal microbiome standard, health intervention by manipulating microbiome, knowledge base building by text mining, microbiota community structure and its implications in human diseases and health monitoring by analyzing microbiome in the blood. The review should enhance interest in conducting novel microbiota investigations that will further improve health and therapy.
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Affiliation(s)
- Dachao Liang
- Division of Genomics and Bioinformatics, CUHK-BGI Innovation Institute of Trans-omics Hong Kong, Hong Kong SAR, China
| | - Ross Ka-Kit Leung
- 2State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - Wenda Guan
- 2State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong China
| | - William W Au
- 3University of Medicine and Pharmacy, Tirgu Mures, Romania.,4Shantou University Medical College, Shantou, China
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