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Djabirska I, Delaval L, Tromme A, Blomet J, Desmecht D, Van Laere AS. Longitudinal quantitative assessment of TMEV-IDD-induced MS phenotypes in two inbred mouse strains using automated video tracking technology. Exp Neurol 2024; 379:114851. [PMID: 38876197 DOI: 10.1016/j.expneurol.2024.114851] [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: 03/21/2024] [Revised: 05/29/2024] [Accepted: 06/06/2024] [Indexed: 06/16/2024]
Abstract
Multiple sclerosis (MS) is a chronic disabling disease of the central nervous system affecting over 2.5 million people worldwide. Theiler's murine encephalomyelitis virus-induced demyelinating disease (TMEV-IDD) is a murine model that reproduces the progressive form of MS and serves as a reference model for studying virus-induced demyelination. Certain mouse strains such as SJL are highly susceptible to this virus and serve as a prototype strain for studying TMEV infection. Other strains such as SWR are also susceptible, but their disease course following TMEV infection differs from SJL's. The quantification of motor and behavioral deficits following the induction of TMEV-IDD could help identify the differences between the two strains. Motor deficits have commonly been measured with the rotarod apparatus, but a multicomponent assessment tool has so far been lacking. For that purpose, we present a novel way of quantifying locomotor deficits, gait alterations and behavioral changes in this well-established mouse model of multiple sclerosis by employing automated video analysis technology (The PhenoTyper, Noldus Information Technology). We followed 12 SJL and 12 SWR female mice and their mock-infected counterparts over a period of 9 months following TMEV-IDD induction. We demonstrated that SJL and SWR mice both suffer significant gait alterations and reduced exploration following TMEV infection. However, SJL mice also display an earlier and more severe decline in spontaneous locomotion, especially in velocity, as well as in overall activity. Maintenance behaviors such as eating and grooming are not affected in either of the two strains. The system also showed differences in mock-infected mice from both strains, highlighting an age-related decline in spontaneous locomotion in the SJL strain, as opposed to hyperactivity in the SWR strain. Our study confirms that this automated video tracking system can reliably track the progression of TMEV-IDD for 9 months. We have also shown how this system can be utilized for longitudinal phenotyping in mice by describing useful parameters that quantify locomotion, gait and behavior.
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Affiliation(s)
- Iskra Djabirska
- Department of Pathology, Fundamental and Applied Research for Animals & Health (FARAH), Faculty of Veterinary Medicine, University of Liege, Liège 4000, Belgium; Prevor Research Laboratories, Valmondois 95760, France
| | - Laetitia Delaval
- Department of Pathology, Fundamental and Applied Research for Animals & Health (FARAH), Faculty of Veterinary Medicine, University of Liege, Liège 4000, Belgium; Prevor Research Laboratories, Valmondois 95760, France
| | - Audrey Tromme
- Department of Pathology, Fundamental and Applied Research for Animals & Health (FARAH), Faculty of Veterinary Medicine, University of Liege, Liège 4000, Belgium; Prevor Research Laboratories, Valmondois 95760, France
| | - Joël Blomet
- Prevor Research Laboratories, Valmondois 95760, France
| | - Daniel Desmecht
- Department of Pathology, Fundamental and Applied Research for Animals & Health (FARAH), Faculty of Veterinary Medicine, University of Liege, Liège 4000, Belgium
| | - Anne-Sophie Van Laere
- Department of Pathology, Fundamental and Applied Research for Animals & Health (FARAH), Faculty of Veterinary Medicine, University of Liege, Liège 4000, Belgium; Prevor Research Laboratories, Valmondois 95760, France.
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Ma J, Li M, Bao Y, Huang W, He X, Hong Y, Wei W, Liu Z, Gao X, Yang Y, Cui Z, Wang W, Wang J, Zhu W, Zheng N, Pan L, Wang D, Ke Z, Zhou B, Sheng L, Li H. Gut microbiota-brain bile acid axis orchestrates aging-related neuroinflammation and behavior impairment in mice. Pharmacol Res 2024; 208:107361. [PMID: 39159729 DOI: 10.1016/j.phrs.2024.107361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 08/16/2024] [Accepted: 08/16/2024] [Indexed: 08/21/2024]
Abstract
Emerging evidence shows that disrupted gut microbiota-bile acid (BA) axis is critically involved in the development of neurodegenerative diseases. However, the alterations in spatial distribution of BAs among different brain regions that command important functions during aging and their exact roles in aging-related neurodegenerative diseases are poorly understood. Here, we analyzed the BA profiles in cerebral cortex, hippocampus, and hypothalamus of young and natural aging mice of both sexes. The results showed that aging altered brain BA profiles sex- and region- dependently, in which TβMCA was consistently elevated in aging mice of both sexes, particularly in the hippocampus and hypothalamus. Furthermore, we found that aging accumulated-TβMCA stimulated microglia inflammation in vitro and shortened the lifespan of C. elegans, as well as behavioral impairment and neuroinflammation in mice. In addition, metagenomic analysis suggested that the accumulation of brain TβMCA during aging was partially attributed to reduction in BSH-carrying bacteria. Finally, rejuvenation of gut microbiota by co-housing aged mice with young mice restored brain BA homeostasis and improved neurological dysfunctions in natural aging mice. In conclusion, our current study highlighted the potential of improving aging-related neuro-impairment by targeting gut microbiota-brain BA axis.
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Affiliation(s)
- Junli Ma
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Mingxiao Li
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yiyang Bao
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Wenjin Huang
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Xiaofang He
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ying Hong
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Wenjing Wei
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zekun Liu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Xinxin Gao
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yang Yang
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zhengyu Cui
- Department of Traditional Chinese Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China
| | - Wantao Wang
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Jie Wang
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200071, China
| | - Weize Zhu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ningning Zheng
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Lingyun Pan
- Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Deheng Wang
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zunji Ke
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ben Zhou
- Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Lili Sheng
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Houkai Li
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
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Xu M, Wang H, Ren S, Wang B, Yang W, Lv L, Sha X, Li W, Wang Y. Identification of crucial inflammaging related risk factors in multiple sclerosis. Front Mol Neurosci 2024; 17:1398665. [PMID: 38836117 PMCID: PMC11148336 DOI: 10.3389/fnmol.2024.1398665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 04/30/2024] [Indexed: 06/06/2024] Open
Abstract
Background Multiple sclerosis (MS) is an immune-mediated disease characterized by inflammatory demyelinating lesions in the central nervous system. Studies have shown that the inflammation is vital to both the onset and progression of MS, where aging plays a key role in it. However, the potential mechanisms on how aging-related inflammation (inflammaging) promotes MS have not been fully understood. Therefore, there is an urgent need to integrate the underlying mechanisms between inflammaging and MS, where meaningful prediction models are needed. Methods First, both aging and disease models were developed using machine learning methods, respectively. Then, an integrated inflammaging model was used to identify relative risk factors, by identifying essential "aging-inflammation-disease" triples. Finally, a series of bioinformatics analyses (including network analysis, enrichment analysis, sensitivity analysis, and pan-cancer analysis) were further used to explore the potential mechanisms between inflammaging and MS. Results A series of risk factors were identified, such as the protein homeostasis, cellular homeostasis, neurodevelopment and energy metabolism. The inflammaging indices were further validated in different cancer types. Therefore, various risk factors were integrated, and even both the theories of inflammaging and immunosenescence were further confirmed. Conclusion In conclusion, our study systematically investigated the potential relationships between inflammaging and MS through a series of computational approaches, and could present a novel thought for other aging-related diseases.
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Affiliation(s)
- Mengchu Xu
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Huize Wang
- Department of Nursing, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Siwei Ren
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Bing Wang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Wenyan Yang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Ling Lv
- Department of Thorax, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xianzheng Sha
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
| | - Wenya Li
- Department of Thorax, The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yin Wang
- Department of Biomedical Engineering, School of Intelligent Sciences, China Medical University, Shenyang, Liaoning, China
- Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
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Sian-Hulsmann J, Riederer P. Virus-induced brain pathology and the neuroinflammation-inflammation continuum: the neurochemists view. J Neural Transm (Vienna) 2024:10.1007/s00702-023-02723-5. [PMID: 38261034 DOI: 10.1007/s00702-023-02723-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 11/18/2023] [Indexed: 01/24/2024]
Abstract
Fascinatingly, an abundance of recent studies has subscribed to the importance of cytotoxic immune mechanisms that appear to increase the risk/trigger for many progressive neurodegenerative disorders, including Parkinson's disease (PD), Alzheimer's disease (AD), amyotrophic lateral sclerosis, and multiple sclerosis. Events associated with the neuroinflammatory cascades, such as ageing, immunologic dysfunction, and eventually disruption of the blood-brain barrier and the "cytokine storm", appear to be orchestrated mainly through the activation of microglial cells and communication with the neurons. The inflammatory processes prompt cellular protein dyshomeostasis. Parkinson's and Alzheimer's disease share a common feature marked by characteristic pathological hallmarks of abnormal neuronal protein accumulation. These Lewy bodies contain misfolded α-synuclein aggregates in PD or in the case of AD, they are Aβ deposits and tau-containing neurofibrillary tangles. Subsequently, these abnormal protein aggregates further elicit neurotoxic processes and events which contribute to the onset of neurodegeneration and to its progression including aggravation of neuroinflammation. However, there is a caveat for exclusively linking neuroinflammation with neurodegeneration, since it's highly unlikely that immune dysregulation is the only factor that contributes to the manifestation of many of these neurodegenerative disorders. It is unquestionably a complex interaction with other factors such as genetics, age, and environment. This endorses the "multiple hit hypothesis". Consequently, if the host has a genetic susceptibility coupled to an age-related weakened immune system, this makes them more susceptible to the virus/bacteria-related infection. This may trigger the onset of chronic cytotoxic neuroinflammatory processes leading to protein dyshomeostasis and accumulation, and finally, these events lead to neuronal destruction. Here, we differentiate "neuroinflammation" and "inflammation" with regard to the involvement of the blood-brain barrier, which seems to be intact in the case of neuroinflammation but defect in the case of inflammation. There is a neuroinflammation-inflammation continuum with regard to virus-induced brain affection. Therefore, we propose a staging of this process, which might be further developed by adding blood- and CSF parameters, their stage-dependent composition and stage-dependent severeness grade. If so, this might be suitable to optimise therapeutic strategies to fight brain neuroinflammation in its beginning and avoid inflammation at all.
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Affiliation(s)
- Jeswinder Sian-Hulsmann
- Department of Human Anatomy and Medical Physiology, University of Nairobi, P.O. Box 30197, Nairobi, 00100, Kenya
| | - Peter Riederer
- University Hospital Wuerzburg, Clinic and Policlinic for Psychiatry, Psychosomatics and Psychotherapy Margarete-Höppel-Platz 1, 97080, Würzburg, Germany.
- Department of Psychiatry, University of Southern Denmark, Winslows Vey 18, 5000, Odense, J.B, Denmark.
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Tang D, Tang Q, Huang W, Zhang Y, Tian Y, Fu X. Fasting: From Physiology to Pathology. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204487. [PMID: 36737846 PMCID: PMC10037992 DOI: 10.1002/advs.202204487] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 01/06/2023] [Indexed: 06/18/2023]
Abstract
Overnutrition is a risk factor for various human diseases, including neurodegenerative diseases, metabolic disorders, and cancers. Therefore, targeting overnutrition represents a simple but attractive strategy for the treatment of these increasing public health threats. Fasting as a dietary intervention for combating overnutrition has been extensively studied. Fasting has been practiced for millennia, but only recently have its roles in the molecular clock, gut microbiome, and tissue homeostasis and function emerged. Fasting can slow aging in most species and protect against various human diseases, including neurodegenerative diseases, metabolic disorders, and cancers. These centuried and unfading adventures and explorations suggest that fasting has the potential to delay aging and help prevent and treat diseases while minimizing side effects caused by chronic dietary interventions. In this review, recent animal and human studies concerning the role and underlying mechanism of fasting in physiology and pathology are summarized, the therapeutic potential of fasting is highlighted, and the combination of pharmacological intervention and fasting is discussed as a new treatment regimen for human diseases.
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Affiliation(s)
- Dongmei Tang
- Division of Endocrinology and Metabolism, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy, West China HospitalSichuan University and Collaborative Innovation Center of BiotherapyChengduSichuan610041China
| | - Qiuyan Tang
- Neurology Department of Integrated Traditional Chinese and Western Medicine, School of Clinical MedicineChengdu University of Traditional Chinese MedicineChengduSichuan610075China
| | - Wei Huang
- West China Centre of Excellence for PancreatitisInstitute of Integrated Traditional Chinese and Western MedicineWest China‐Liverpool Biomedical Research CentreWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Yuwei Zhang
- Division of Endocrinology and MetabolismWest China HospitalSichuan UniversityChengduSichuan610041China
| | - Yan Tian
- Division of Endocrinology and Metabolism, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy and Cancer Center, West China HospitalSichuan University and Collaborative Innovation Center of BiotherapyChengduSichuan610041China
| | - Xianghui Fu
- Division of Endocrinology and Metabolism, National Clinical Research Center for Geriatrics, State Key Laboratory of Biotherapy and Cancer Center, West China HospitalSichuan University and Collaborative Innovation Center of BiotherapyChengduSichuan610041China
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Osorio-Querejeta I, Alberro A, Suárez J, Sáenz-Cuesta M, Oregi A, Moles L, Muñoz-Culla M, Otaegui D. The innovative animal monitoring device for experimental autoimmune encephalomyelitis (“I AM D EAE”): A more detailed evaluation for improved results. Mult Scler Relat Disord 2022; 63:103836. [DOI: 10.1016/j.msard.2022.103836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/22/2022] [Accepted: 04/28/2022] [Indexed: 10/18/2022]
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