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Dong H, Zhang X, Duan Y, He Y, Zhao J, Wang Z, Wang J, Li Q, Fan G, Liu Z, Shen C, Zhang Y, Yu M, Fei J, Huang F. Hypoxia inducible factor-1α regulates microglial innate immune memory and the pathology of Parkinson's disease. J Neuroinflammation 2024; 21:80. [PMID: 38555419 PMCID: PMC10981320 DOI: 10.1186/s12974-024-03070-2] [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: 12/18/2023] [Accepted: 03/20/2024] [Indexed: 04/02/2024] Open
Abstract
Neuroinflammation is one of the core pathological features of Parkinson's disease (PD). Innate immune cells play a crucial role in the progression of PD. Microglia, the major innate immune cells in the brain, exhibit innate immune memory effects and are recognized as key regulators of neuroinflammatory responses. Persistent modifications of microglia provoked by the first stimuli are pivotal for innate immune memory, resulting in an enhanced or suppressed immune response to second stimuli, which is known as innate immune training and innate immune tolerance, respectively. In this study, LPS was used to establish in vitro and in vivo models of innate immune memory. Microglia-specific Hif-1α knockout mice were further employed to elucidate the regulatory role of HIF-1α in innate immune memory and MPTP-induced PD pathology. Our results showed that different paradigms of LPS could induce innate immune training or tolerance in the nigrostriatal pathway of mice. We found that innate immune tolerance lasting for one month protected the dopaminergic system in PD mice, whereas the effect of innate immune training was limited. Deficiency of HIF-1α in microglia impeded the formation of innate immune memory and exerted protective effects in MPTP-intoxicated mice by suppressing neuroinflammation. Therefore, HIF-1α is essential for microglial innate immune memory and can promote neuroinflammation associated with PD.
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Affiliation(s)
- Hongtian Dong
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Xiaoshuang Zhang
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Yufei Duan
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Yongtao He
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Jiayin Zhao
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Zishan Wang
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Jinghui Wang
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Qing Li
- School of Life Science and Technology, Tongji University, 1239 Shipping Road, Shanghai, 200092, China
| | - Guangchun Fan
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Zhaolin Liu
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Chenye Shen
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Yunhe Zhang
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China
| | - Mei Yu
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
| | - Jian Fei
- School of Life Science and Technology, Tongji University, 1239 Shipping Road, Shanghai, 200092, China.
- Shanghai Engineering Research Center for Model Organisms, Shanghai Model Organisms Center, INC., Shanghai, 201203, China.
| | - Fang Huang
- Department of Translational Neuroscience, Jing'an District Centre Hospital of Shanghai, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, 138 Yixueyuan Road, Shanghai, 200032, China.
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Papareddy P, Selle M, Partouche N, Legros V, Rieu B, Olinder J, Ryden C, Bartakova E, Holub M, Jung K, Pottecher J, Herwald H. Identifying biomarkers deciphering sepsis from trauma-induced sterile inflammation and trauma-induced sepsis. Front Immunol 2024; 14:1310271. [PMID: 38283341 PMCID: PMC10820703 DOI: 10.3389/fimmu.2023.1310271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/22/2023] [Indexed: 01/30/2024] Open
Abstract
Objective The purpose of this study was to identify a panel of biomarkers for distinguishing early stage sepsis patients from non-infected trauma patients. Background Accurate differentiation between trauma-induced sterile inflammation and real infective sepsis poses a complex life-threatening medical challenge because of their common symptoms albeit diverging clinical implications, namely different therapies. The timely and accurate identification of sepsis in trauma patients is therefore vital to ensure prompt and tailored medical interventions (provision of adequate antimicrobial agents and if possible eradication of infective foci) that can ultimately lead to improved therapeutic management and patient outcome. The adequate withholding of antimicrobials in trauma patients without sepsis is also important in aspects of both patient and environmental perspective. Methods In this proof-of-concept study, we employed advanced technologies, including Matrix-Assisted Laser Desorption/Ionization (MALDI) and multiplex antibody arrays (MAA) to identify a panel of biomarkers distinguishing actual sepsis from trauma-induced sterile inflammation. Results By comparing patient groups (controls, infected and non-infected trauma and septic shock patients under mechanical ventilation) at different time points, we uncovered distinct protein patterns associated with early trauma-induced sterile inflammation on the one hand and sepsis on the other hand. SYT13 and IL1F10 emerged as potential early sepsis biomarkers, while reduced levels of A2M were indicative of both trauma-induced inflammation and sepsis conditions. Additionally, higher levels of TREM1 were associated at a later stage in trauma patients. Furthermore, enrichment analyses revealed differences in the inflammatory response between trauma-induced inflammation and sepsis, with proteins related to complement and coagulation cascades being elevated whereas proteins relevant to focal adhesion were diminished in sepsis. Conclusions Our findings, therefore, suggest that a combination of biomarkers is needed for the development of novel diagnostic approaches deciphering trauma-induced sterile inflammation from actual infective sepsis.
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Affiliation(s)
- Praveen Papareddy
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Michael Selle
- Genomics and Bioinformatics of Infectious Diseases, Institute for Animal Genomics, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Nicolas Partouche
- Hôpitaux Universitaires de Strasbourg, Service d’Anesthésie-Réanimation & Médecine Péri-opératoire - Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Vincent Legros
- Département d’Anesthésie-Réanimation et Médecine Peri-Operatoire, Centre Hospitalier et Universitaire (CHU) de Reims, Université de Reims Champagne-Ardenne, Reims, France
| | - Benjamin Rieu
- Réanimation Médico-Chirurgicale, Trauma Center, Pôle Médecine Péri-Opératoire, Centre Hospitalier et Universitaire (CHU) de Clermont-Ferrand, Clermont Ferrand, France
| | - Jon Olinder
- Division of Infection Medicine, Helsingborg Hospital and Department of Clinical Sciences Helsingborg, Lund University, Helsingborg, Sweden
| | - Cecilia Ryden
- Division of Infection Medicine, Helsingborg Hospital and Department of Clinical Sciences Helsingborg, Lund University, Helsingborg, Sweden
| | - Eva Bartakova
- Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, Prague, Czechia
| | - Michal Holub
- Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, Prague, Czechia
| | - Klaus Jung
- Genomics and Bioinformatics of Infectious Diseases, Institute for Animal Genomics, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Julien Pottecher
- Hôpitaux Universitaires de Strasbourg, Service d’Anesthésie-Réanimation & Médecine Péri-opératoire - Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Strasbourg, France
| | - Heiko Herwald
- Division of Infection Medicine, Department of Clinical Sciences, Lund University, Lund, Sweden
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Arjmand B, Hamidpour SK, Tayanloo-Beik A, Arjmand R, Rezaei-Tavirani M, Namazi N, Ojagh H, Larijani B. Incorporating NK Cells in a Three-Dimensional Organotypic Culture System for Human Skin Stem Cells: Modeling Skin Diseases and Immune Cell Interplay. Methods Mol Biol 2023. [PMID: 37801255 DOI: 10.1007/7651_2023_504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
Natural killer (NK) cells are a part of a sophisticated immune system that is necessary for the skin because it is a crucial organ that is continually exposed to environmental influences. Recent studies have shown that NK cell incorporation into three-dimensional (3D) organotypic culture systems for human skin stem cells provides a physiologically relevant environment to study the interactions between immune cells and skin cells, making it a powerful tool for simulating skin diseases and researching these interactions. It has been shown that adding NK cells to 3D organotypic culture systems can improve keratinocyte differentiation and control inflammation in a variety of skin conditions, including psoriasis. In order to increase our knowledge of skin diseases and immune cell interactions, this work intends to propose an optimum approach for adding NK cells to a 3D organotypic culturing system for human skin stem cells. By better comprehending these relationships, researchers hope to develop novel treatments for skin diseases that are more effective and cause fewer side effects than current treatments. To completely understand the mechanisms underlying these interactions and to create new treatments for skin diseases, more research is required. In conclusion, NK cell integration into 3D organotypic culture systems offers a potent tool to investigate immune cell interactions with skin cells in a physiologically appropriate setting, which may result in major improvements in the treatment of skin diseases.
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Affiliation(s)
- Babak Arjmand
- Cell Therapy and Regenerative Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran.
- Endocrine & Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | | | - Akram Tayanloo-Beik
- Cell Therapy and Regenerative Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Endocrine & Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Rasta Arjmand
- Cell Therapy and Regenerative Medicine Research Center, Tehran University of Medical Sciences, Tehran, Iran
- Endocrine & Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Nazli Namazi
- Diabetes Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid Ojagh
- Students Research Committee of Nursing, Faculty of Nursing, Aja University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrine & Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
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Jiang M, Chattopadhyay AN, Jeon T, Zhang X, Rotello VM. Sensor Array-Enabled Identification of Drugs for Repolarization of Macrophages to Anti-Inflammatory Phenotypes. Anal Chem 2023; 95:12177-12183. [PMID: 37535805 PMCID: PMC10612494 DOI: 10.1021/acs.analchem.3c02551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Macrophages are key components of the innate immune system that have essential functions in physiological processes and diseases. The phenotypic plasticity of macrophages allows cells to be polarized into a multidimensional spectrum of phenotypes, broadly classed as pro-inflammatory (M1) and anti-inflammatory (M2) states. Repolarization of M1 to M2 phenotypes alters the immune response to ameliorate autoimmune and inflammation-associated diseases. Detection of this repolarization, however, is challenging to execute in high-throughput applications. In this work, we demonstrate the ability of a single polymer fabricated to provide a six-channel sensor array that can determine macrophage polarization phenotypes. This sensing platform provides a sensitive and high-throughput tool for detecting drug-induced M1-to-M2 repolarization, allowing the identification of new therapeutic leads for inflammatory diseases. The ability of this sensor array to discriminate different M2 subtypes induced by drugs can also improve the efficacy evaluation of anti-inflammatory drugs and avoid adverse effects.
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Affiliation(s)
- Mingdi Jiang
- Department of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St., Amherst, MA 01003, USA
| | - Aritra Nath Chattopadhyay
- Department of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St., Amherst, MA 01003, USA
| | - Taewon Jeon
- Department of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St., Amherst, MA 01003, USA
- Molecular and Cellular Biology Graduate Program, University of Massachusetts Amherst, 230 Stockbridge Road, Amherst, Massachusetts, 01003, USA
| | - Xianzhi Zhang
- Department of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St., Amherst, MA 01003, USA
| | - Vincent M. Rotello
- Department of Chemistry, University of Massachusetts Amherst, 710 N. Pleasant St., Amherst, MA 01003, USA
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