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Renwick AN, Whitlock BK, Nestor CC, Daniel JA, Strickland L, Lear AS, Adkins M, Griffin C, Esteller-Vico A. Chronic inflammation decreases arcuate kisspeptin expression in male sheep. Domest Anim Endocrinol 2024; 89:106868. [PMID: 38901139 PMCID: PMC11366492 DOI: 10.1016/j.domaniend.2024.106868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 05/17/2024] [Accepted: 06/02/2024] [Indexed: 06/22/2024]
Abstract
Lipopolysaccharide (LPS) from Gram-negative bacteria induces an immune response and impairs reproduction through suppression of gonadotropin releasing hormone (GnRH), subsequently luteinizing hormone (LH) secretion. While there is evidence that acute inflammation inhibits kisspeptin, little is known about the impact of chronic inflammation on this key reproductive neuropeptide in livestock species. Thus, we sought to examine a central mechanism whereby LPS suppresses LH secretion in sheep. Twenty wethers were randomly assigned to one of five treatment groups: control (CON; n=4), single acute IV LPS dose (SAD; n=4), daily acute IV LPS dose (DAD; n=4), daily increasing IV LPS dose (DID; n=4), and chronic subcutaneous LPS dose (CSD; n=4). On Days 1 and 7, blood samples were collected every 12 minutes for 360 minutes using jugular venipuncture. Following blood collection on Day 7, all animals were euthanized, brain tissue was perfused with 4% paraformaldehyde, and hypothalamic blocks were removed and processed for immunohistochemistry. On Day 1, LH pulse frequency was significantly lower (p=0.02) in SAD (0.25 ± 0.1 pulses/hour), DAD (0.25 ± 0.1 pulses/hour), DID (0.35 ± 0.1 pulses/hour), and CSD (0.40 ± 0.1 pulses/hour) compared to CON (0.70 ±0.1 pulses/hour). On Day 7, only DID animals (0.35 ± 0.1 pulses/hour) had significantly lower (p=0.049) LH pulse frequency compared to controls (0.85 ± 0.1 pulse/hour). Furthermore, only DID animals (33.3 ± 10.9 cells/section/animal) had significantly fewer (p=0.001) kisspeptin-immunopositive cells compared to controls (82.6 ± 13.6 cells/section/animal). Taken together, we suggest that daily increasing doses of LPS is a powerful inhibitor of kisspeptin neurons in young male sheep and a physiologically relevant model to examine the impact of chronic inflammation on the reproductive axis in livestock.
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Affiliation(s)
- A N Renwick
- Large Animal Clinical Sciences Department, University of Tennessee College of Veterinary Medicine, Knoxville, TN
| | - B K Whitlock
- Large Animal Clinical Sciences Department, University of Tennessee College of Veterinary Medicine, Knoxville, TN.
| | - C C Nestor
- Department of Animal Science, North Carolina State University, Raleigh, NC
| | - J A Daniel
- Animal Science Department, Berry College, Rome, GA
| | - L Strickland
- Large Animal Clinical Sciences Department, University of Tennessee College of Veterinary Medicine, Knoxville, TN; Department of Animal Science, University of Tennessee, Knoxville, TN
| | - A S Lear
- Large Animal Clinical Sciences Department, University of Tennessee College of Veterinary Medicine, Knoxville, TN
| | - M Adkins
- Large Animal Clinical Sciences Department, University of Tennessee College of Veterinary Medicine, Knoxville, TN
| | - C Griffin
- Large Animal Clinical Sciences Department, University of Tennessee College of Veterinary Medicine, Knoxville, TN
| | - A Esteller-Vico
- Biomedical and Diagnostic Sciences, University of Tennessee College of Veterinary Medicine, Knoxville, TN
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Casella V, Domenjo-Vila E, Esteve-Codina A, Pedragosa M, Cebollada Rica P, Vidal E, de la Rubia I, López-Rodríguez C, Bocharov G, Argilaguet J, Meyerhans A. Differential kinetics of splenic CD169+ macrophage death is one underlying cause of virus infection fate regulation. Cell Death Dis 2023; 14:838. [PMID: 38110339 PMCID: PMC10728219 DOI: 10.1038/s41419-023-06374-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 12/20/2023]
Abstract
Acute infection and chronic infection are the two most common fates of pathogenic virus infections. While several factors that contribute to these fates are described, the critical control points and the mechanisms that underlie infection fate regulation are incompletely understood. Using the acute and chronic lymphocytic choriomeningitis virus (LCMV) infection model of mice, we find that the early dynamic pattern of the IFN-I response is a differentiating trait between both infection fates. Acute-infected mice generate a 2-wave IFN-I response while chronic-infected mice generate only a 1-wave response. The underlying cause is a temporal difference in CD8 T cell-mediated killing of splenic marginal zone CD169+ macrophages. It occurs later in acute infection and thus enables CD169+ marginal zone macrophages to produce the 2nd IFN-I wave. This is required for subsequent immune events including induction of inflammatory macrophages, generation of effector CD8+ T cells and virus clearance. Importantly, these benefits come at a cost for the host in the form of spleen fibrosis. Due to an earlier marginal zone destruction, these ordered immune events are deregulated in chronic infection. Our findings demonstrate the critical importance of kinetically well-coordinated sequential immune events for acute infection control and highlights that it may come at a cost for the host organism.
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Affiliation(s)
- Valentina Casella
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Eva Domenjo-Vila
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Anna Esteve-Codina
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, 08028, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
| | - Mireia Pedragosa
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Paula Cebollada Rica
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Enric Vidal
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain
| | - Ivan de la Rubia
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
- EMBL Australia Partner Laboratory Network at the Australian National University, Acton, Canberra, ACT, 2601, Australia
| | - Cristina López-Rodríguez
- Immunology Unit, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain
| | - Gennady Bocharov
- Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, 119333, Moscow, Russia
- Sechenov First Moscow State Medical University, 119991, Moscow, Russia
| | - Jordi Argilaguet
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain.
- Unitat mixta d'Investigació IRTA-UAB en Sanitat Animal. Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain.
- IRTA, Programa de Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Campus de la Universitat Autònoma de Barcelona (UAB), 08193, Bellaterra, Catalonia, Spain.
| | - Andreas Meyerhans
- Infection Biology Laboratory, Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, 08003, Barcelona, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), 08010, Barcelona, Spain.
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Lacitignola D, Diele F, Marangi C, Monti A, Serini T, Vernocchi S. Effects of Vitamin D Supplementation and Degradation on the Innate Immune System Response: Insights on SARS-CoV-2. MATHEMATICS 2023; 11:3711. [DOI: 10.3390/math11173711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2025]
Abstract
Vitamin D has been proven to be a strong stimulator of mechanisms associated with the elimination of pathogens. Because of its recognized effectiveness against viral infections, during SARS-CoV-2 infection, the effects of Vitamin D supplementation have been the object of debate. This study aims to contribute to this debate by the means of a qualitative phenomenological mathematical model in which the role of Vitamin D and its interactions with the innate immune system are explicitly considered. We show that Vitamin D influx and degradation can be considered as possible control parameters for the disease evaluation and recovery. By varying Vitamin D influx, three dynamical scenarios have been found with different modalities of recovery from the disease. Inside each scenario, Vitamin D degradation has been related to different degrees of severity in disease development. Interestingly, the emergence of hysteretic phenomenologies when Vitamin D influx is too low can be related to the onset of Long-COVID syndrome, confirming clinical evidence from recent studies on the topic.
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Affiliation(s)
- Deborah Lacitignola
- Dipartimento di Ingegneria Elettrica e dell’Informazione, Università di Cassino e del Lazio Meridionale, Via Di Biasio, I-03043 Cassino, Italy
| | - Fasma Diele
- Istituto per le Applicazioni del Calcolo M. Picone, CNR, Via Amendola 122, I-70126 Bari, Italy
| | - Carmela Marangi
- Istituto per le Applicazioni del Calcolo M. Picone, CNR, Via Amendola 122, I-70126 Bari, Italy
| | - Angela Monti
- Istituto per le Applicazioni del Calcolo M. Picone, CNR, Via Amendola 122, I-70126 Bari, Italy
| | - Teresa Serini
- Faculty of Medicine, University of Ostrava, 703 00 Ostrava, Czech Republic
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Yuan S, Jiang SC, Zhang ZW, Fu YF, Hu J, Li ZL. Quantification of Cytokine Storms During Virus Infections. Front Immunol 2021; 12:659419. [PMID: 34079547 PMCID: PMC8165266 DOI: 10.3389/fimmu.2021.659419] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 05/04/2021] [Indexed: 12/20/2022] Open
Abstract
Highly pathogenic virus infections usually trigger cytokine storms, which may have adverse effects on vital organs and result in high mortalities. The two cytokines interleukin (IL)-4 and interferon (IFN)-γ play key roles in the generation and regulation of cytokine storms. However, it is still unclear whether the cytokine with the largest induction amplitude is the same under different virus infections. It is unknown which is the most critical and whether there are any mathematical formulas that can fit the changing rules of cytokines. Three coronaviruses (SARS-CoV, MERS-CoV, and SARS-CoV-2), three influenza viruses (2009H1N1, H5N1 and H7N9), Ebola virus, human immunodeficiency virus, dengue virus, Zika virus, West Nile virus, hepatitis B virus, hepatitis C virus, and enterovirus 71 were included in this analysis. We retrieved the cytokine fold change (FC), viral load, and clearance rate data from these highly pathogenic virus infections in humans and analyzed the correlations among them. Our analysis showed that interferon-inducible protein (IP)-10, IL-6, IL-8 and IL-17 are the most common cytokines with the largest induction amplitudes. Equations were obtained: the maximum induced cytokine (max) FC = IFN-γ FC × (IFN-γ FC/IL-4 FC) (if IFN-γ FC/IL-4 FC > 1); max FC = IL-4 FC (if IFN-γ FC/IL-4 FC < 1). For IFN-γ-inducible infections, 1.30 × log2 (IFN-γ FC) = log10 (viral load) − 2.48 − 2.83 × (clearance rate). The clinical relevance of cytokines and their antagonists is also discussed.
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Affiliation(s)
- Shu Yuan
- College of Resources, Sichuan Agricultural University, Chengdu, China
| | - Si-Cong Jiang
- Chengdu KangHong Pharmaceutical Group Comp. Ltd., Chengdu, China
| | - Zhong-Wei Zhang
- College of Resources, Sichuan Agricultural University, Chengdu, China
| | - Yu-Fan Fu
- College of Resources, Sichuan Agricultural University, Chengdu, China
| | - Jing Hu
- School of Medicine, Northwest University, Xi'an, China
| | - Zi-Lin Li
- Department of Cardiovascular Surgery, Xijing Hospital, Medical University of the Air Force, Xi'an, China
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HU XIAOCHUAN, JANG SOPHIARJ. STOCHASTICITY AND COOPERATIVE HUNTING IN PREDATOR–PREY INTERACTIONS. J BIOL SYST 2021. [DOI: 10.1142/s0218339021400040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
We derive models of stochastic differential equations describing predator–prey interactions with cooperative hunting in predators based on a deterministic system proposed by Alves and Hilker. The deterministic model is analyzed first by providing a critical degree of cooperation below which the predators go extinct globally. Above the critical threshold, the deterministic model has two coexisting steady states and predators may persist depending on initial conditions. One of the stochastic models is derived from a continuous-time Markov chain while the other is based on a mean reverting process. Using Euler–Maruyama approximations, we investigate the stochastic systems numerically by providing estimated probabilities of predator extinction in the parameter regimes for which the predators cooperate intensively. It is found that predators may go extinct in the stochastic setting when they can otherwise survive indefinitely in the deterministic setting. The estimated probabilities of extinction are overall larger if populations are oscillating in the ODE system.
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Affiliation(s)
- XIAOCHUAN HU
- Department of Mathematics and Statistics, University of the Incarnate Word, San Antonio, TX 78209, USA
| | - SOPHIA R.-J. JANG
- Department of Mathematics and Statistics, Texas Tech University Lubbock, TX 79409-1042, USA
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Yu X, Wu Y, Zhang J, Jirimutu, Zulipikaer A, Chen J. Pre-evaluation of humoral immune response of Bactrian camels by the quantification of Th2 cytokines using real-time PCR. J Biomed Res 2020; 34:387-394. [PMID: 32611846 PMCID: PMC7540241 DOI: 10.7555/jbr.34.20190035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 11/13/2019] [Indexed: 01/12/2023] Open
Abstract
With the increasing immunological studies on camels due to the advantage of their single-chain antibodies for humanizations, it is demanding to develop an easy-to-handle evaluation method of their humoral immune response before proceeding with immunization of foreign antigens that may be toxic to camels. In this study, we quantitatively determined the expression levels of T-helper 2 (Th2) cytokines in peripheral blood lymphocytes obtained from Bactrian camels by real-time PCR. The recorded kinetic profiles resulting from the immunization of ovalbumin (OVA) indicated that after immunization, Th2 cytokines including interleukin (IL) families such as IL-4, IL-10, and IL-13 in the camels were up-regulated by a factor of 1.78, 3.15, and 1.22, respectively, which was validated by traditional enzyme-linked immunosorbent assay (ELISA) methods. Unlike ELISA which requires specific enzyme-labeled antibodies, this established method based on the minimal amount of blood samples holds an advantage in the preliminary evaluation of camel humoral immune response with desirable precision, which is meaningful for biomedical explorations of camel-derived antibodies.
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Affiliation(s)
- Xinyu Yu
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Yuan Wu
- Department of Medical Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, China
| | - Jiarong Zhang
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Jirimutu
- Key Laboratory of Dairy Biotechnology and Bioengineering, Ministry of Education, College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China
| | | | - Jin Chen
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- The Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health
- Key Laboratory of Antibody Technique of National Health Commission, Nanjing Medical University, Nanjing, Jiangsu 211166, China
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