1
|
Yang H, Gu W, Ni J, Ma Y, Li S, Neumann D, Ding X, Zhu L. Carnitine palmitoyl-transferase 1A is potentially involved in bovine herpesvirus 1 productive infection. Vet Microbiol 2024; 288:109932. [PMID: 38043447 PMCID: PMC10919102 DOI: 10.1016/j.vetmic.2023.109932] [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: 09/15/2023] [Revised: 11/21/2023] [Accepted: 11/26/2023] [Indexed: 12/05/2023]
Abstract
Bovine herpesvirus 1(BoHV-1) is an important bovine pathogen that causes great economic loss to cattle farms worldwide. The virus-productive infection in bovine kidney (MDBK) cells results in ATP depletion. The mechanisms are not well understood. Mitochondrial fatty acid β-oxidation (FAO) is an important energy source in many tissues with high energy demand. Since carnitine palmitoyl-transferase 1 A (CPT1A) is the rate-limiting enzyme of FAO, we investigated the interactions between virus-productive infection and CPT1A signaling. Here, we found that virus-productive infection at the later stage significantly decreased CPT1A protein levels in all the detected cells, including MDBK, A549, and Neuro-2A cells, differentially altered the accumulation of CPT1A proteins in the nucleus and cytosol, and re-localized the protein in the nucleus. Etomoxir (ETO), an irreversible inhibitor of CPT1A, inhibited viral replication and partially interfered with the ability of BoHV-1 to alter CPT1A accumulation in the nucleus but not in the cytosol. Furthermore, ETO consistently reduced RNA levels of two viral regulatory proteins (bICP0 and bICP22) and protein expression of virion-associated proteins during productive infection, further supporting the important roles of CPT1A signaling in BoHV-1 productive infection. These data, for the first time, suggest that CPT1A is potentially involved in BoHV-1 productive infection.
Collapse
Affiliation(s)
- Hao Yang
- College of Life Sciences, Hebei University, Baoding 071002, China
| | - Wenyuan Gu
- Center for Animal Diseases Control and Prevention of Hebei Province, Shijiazhuang 050035, China
| | - Junqing Ni
- Hebei Province Animal Husbandry and Improved Breeds Work Station, Shijiazhuang 050061, China
| | - Yabin Ma
- Hebei Province Animal Husbandry and Improved Breeds Work Station, Shijiazhuang 050061, China
| | - Shitao Li
- Department of Microbiology and Immunology, Tulane University, New Orleans, LA 70118, USA
| | - Donna Neumann
- Department of Ophthalmology and Visual Sciences, University of Wisconsin-Madison, Madison, WI 537006, USA
| | - Xiuyan Ding
- College of Life Sciences, Hebei University, Baoding 071002, China
| | - Liqian Zhu
- College of Life Sciences, Hebei University, Baoding 071002, China
| |
Collapse
|
2
|
Al-Shalan HAM, Zhou L, Dong Z, Wang P, Nicholls PK, Boughton B, Stumbles PA, Greene WK, Ma B. Systemic perturbations in amino acids/amino acid derivatives and tryptophan pathway metabolites associated with murine influenza A virus infection. Virol J 2023; 20:270. [PMID: 37990229 PMCID: PMC10664681 DOI: 10.1186/s12985-023-02239-0] [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: 08/12/2023] [Accepted: 11/09/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Influenza A virus (IAV) is the only influenza virus causing flu pandemics (i.e., global epidemics of flu disease). Influenza (the flu) is a highly contagious disease that can be deadly, especially in high-risk groups. Worldwide, these annual epidemics are estimated to result in about 3 to 5 million cases of severe illness and in about 290,000 to 650,000 respiratory deaths. We intend to reveal the effect of IAV infection on the host's metabolism, immune response, and neurotoxicity by using a mouse IAV infection model. METHODS 51 metabolites of murine blood plasma (33 amino acids/amino acid derivatives (AADs) and 18 metabolites of the tryptophan pathway) were analyzed by using Ultra-High-Performance Liquid Chromatography-Mass Spectrometry with Electrospray Ionization at the acute (7 days post-infection (dpi)), resolution (14 dpi), and recovery (21 dpi) stages of the virus infection in comparison with controls. RESULTS Among the 33 biogenic amino acids/AADs, the levels of five amino acids/AADs (1-methylhistidine, 5-oxoproline, α-aminobutyric acid, glutamine, and taurine) increased by 7 dpi, whereas the levels of ten amino acids/AADs (4-hydroxyproline, alanine, arginine, asparagine, cysteine, citrulline, glycine, methionine, proline, and tyrosine) decreased. By 14 dpi, the levels of one AAD (3-methylhistidine) increased, whereas the levels of five amino acids/AADs (α-aminobutyric acid, aminoadipic acid, methionine, threonine, valine) decreased. Among the 18 metabolites from the tryptophan pathway, the levels of kynurenine, quinolinic acid, hydroxykynurenine increased by 7 dpi, whereas the levels of indole-3-acetic acid and nicotinamide riboside decreased. CONCLUSIONS Our data may facilitate understanding the molecular mechanisms of host responses to IAV infection and provide a basis for discovering potential new mechanistic, diagnostic, and prognostic biomarkers and therapeutic targets for IAV infection.
Collapse
Affiliation(s)
- Huda A M Al-Shalan
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia
- Department of Microbiology/Virology, College of Veterinary Medicine, Baghdad University, Baghdad, Iraq
| | - Lu Zhou
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Zhifan Dong
- Graduate School, Hebei Medical University, Shijiazhuang, Hebei, China
| | - Penghao Wang
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia
| | - Philip K Nicholls
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia
| | - Berin Boughton
- Australian National Phenome Centre, Computational and Systems Medicine, Health Futures Institute, Murdoch University, Murdoch, WA, Australia
| | - Philip A Stumbles
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia
- Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia
| | - Wayne K Greene
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia
| | - Bin Ma
- School of Medical, Molecular and Forensic Sciences, Murdoch University, Murdoch, WA, Australia.
| |
Collapse
|
3
|
Rohner M, Schwarz PEH, Bornstein SR. Treating Insulin Resistance with Intermittent Personalized Nutrition to Sustain Metabolic Health and Functioning Immune System for Risk Reduction of Viral Diseases Especially COVID-19 and Long-COVID. Horm Metab Res 2022; 54:567-570. [PMID: 35636457 DOI: 10.1055/a-1864-8234] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
The Covid-19 pandemic has provided new and strong evidence for poor outcomes of viral infection in patients with poor metabolic health. Insulin resistance is at the root of many metabolic conditions and a key driver of their progression as it promotes ineffectual inflammation whilst impairing immune functions. In a vicious circle, insulin resistance facilitates SARS-CoV-2 infection, whilst infection drives insulin resistance. We discuss the underlying mechanisms and explore ways to improve metabolic health and prevent insulin resistance through early detection and targeted nutritional interventions. With proven efficacy in prediabetes, type 2 diabetes, and their cardiovascular and organ complications, as much as non-alcoholic liver disease, we argue to extend such approaches to ensure resilience to the current pandemic and viral challenges beyond.
Collapse
Affiliation(s)
- Markus Rohner
- EpiGeneticBalance AG, EpiGeneticBalance AG, CH-4310 Rheinfelden, Rheinfelden, Switzerland
| | - Peter E H Schwarz
- Department of Medicine, Carl Gustav Carus, Prevention and Care of Diabetes, Technical University Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, German Center for Diabetes Research (DZD), Dresden, Germany
| | - Stefan R Bornstein
- Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Division of Endocrinology, Diabetes and Nutritional Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK
- Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Zurich, Switzerland
| |
Collapse
|
4
|
Spatial Metabolomics Reveals Localized Impact of Influenza Virus Infection on the Lung Tissue Metabolome. mSystems 2022; 7:e0035322. [PMID: 35730946 PMCID: PMC9426520 DOI: 10.1128/msystems.00353-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The influenza virus (IAV) is a major cause of respiratory disease, with significant infection increases in pandemic years. Vaccines are a mainstay of IAV prevention but are complicated by IAV’s vast strain diversity and manufacturing and vaccine uptake limitations. While antivirals may be used for treatment of IAV, they are most effective in early stages of the infection, and several virus strains have become drug resistant. Therefore, there is a need for advances in IAV treatment, especially host-directed therapeutics. Given the spatial dynamics of IAV infection and the relationship between viral spatial distribution and disease severity, a spatial approach is necessary to expand our understanding of IAV pathogenesis. We used spatial metabolomics to address this issue. Spatial metabolomics combines liquid chromatography-tandem mass spectrometry of metabolites extracted from systematic organ sections, 3D models, and computational techniques to develop spatial models of metabolite location and their role in organ function and disease pathogenesis. In this project, we analyzed serum and systematically sectioned lung tissue samples from uninfected or infected mice. Spatial mapping of sites of metabolic perturbations revealed significantly lower metabolic perturbation in the trachea compared to other lung tissue sites. Using random forest machine learning, we identified metabolites that responded differently in each lung position based on infection, including specific amino acids, lipids and lipid-like molecules, and nucleosides. These results support the implementation of spatial metabolomics to understand metabolic changes upon respiratory virus infection. IMPORTANCE The influenza virus is a major health concern. Over 1 billion people become infected annually despite the wide distribution of vaccines, and antiviral agents are insufficient to address current clinical needs. In this study, we used spatial metabolomics to understand changes in the lung and serum metabolome of mice infected with influenza A virus compared to uninfected controls. We determined metabolites altered by infection in specific lung tissue sites and distinguished metabolites perturbed by infection between lung tissue and serum samples. Our findings highlight the utility of a spatial approach to understanding the intersection between the lung metabolome, viral infection, and disease severity. Ultimately, this approach will expand our understanding of respiratory disease pathogenesis.
Collapse
|
5
|
McMichael LE, Heath H, Johnson CM, Fanter R, Alarcon N, Quintana-Diaz A, Pilolla K, Schaffner A, Jelalian E, Wing RR, Brito A, Phelan S, La Frano MR. Metabolites involved in purine degradation, insulin resistance, and fatty acid oxidation are associated with prediction of Gestational diabetes in plasma. Metabolomics 2021; 17:105. [PMID: 34837546 PMCID: PMC8741304 DOI: 10.1007/s11306-021-01857-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/20/2021] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) significantly increases maternal and fetal health risks, but factors predictive of GDM are poorly understood. OBJECTIVES Plasma metabolomics analyses were conducted in early pregnancy to identify potential metabolites associated with prediction of GDM. METHODS Sixty-eight pregnant women with overweight/obesity from a clinical trial of a lifestyle intervention were included. Participants who developed GDM (n = 34; GDM group) were matched on treatment group, age, body mass index, and ethnicity with those who did not develop GDM (n = 34; Non-GDM group). Blood draws were completed early in pregnancy (10-16 weeks). Plasma samples were analyzed by UPLC-MS using three metabolomics assays. RESULTS One hundred thirty moieties were identified. Thirteen metabolites including pyrimidine/purine derivatives involved in uric acid metabolism, carboxylic acids, fatty acylcarnitines, and sphingomyelins (SM) were different when comparing the GDM vs. the Non-GDM groups (p < 0.05). The most significant differences were elevations in the metabolites' hypoxanthine, xanthine and alpha-hydroxybutyrate (p < 0.002, adjusted p < 0.02) in GDM patients. A panel consisting of four metabolites: SM 14:0, hypoxanthine, alpha-hydroxybutyrate, and xanthine presented the highest diagnostic accuracy with an AUC = 0.833 (95% CI: 0.572686-0.893946), classifying as a "very good panel". CONCLUSION Plasma metabolites mainly involved in purine degradation, insulin resistance, and fatty acid oxidation, were altered in early pregnancy in connection with subsequent GDM development.
Collapse
Affiliation(s)
- Lauren E McMichael
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Hannah Heath
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Catherine M Johnson
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Rob Fanter
- College of Agriculture, Food and Environmental Sciences, California Polytechnic State University, San Luis Obispo, CA, USA
- Cal Poly Metabolomics Service Center, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Noemi Alarcon
- Department of Kinesiology and Public Health, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA
- Center for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Adilene Quintana-Diaz
- Department of Kinesiology and Public Health, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA
- Center for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Kari Pilolla
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA
- Center for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Andrew Schaffner
- Center for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA
- Department of Statistics, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Elissa Jelalian
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School at Brown University, Providence, RI, USA
| | - Rena R Wing
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School at Brown University, Providence, RI, USA
| | - Alex Brito
- Laboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology. I.M. Sechenov First, Moscow Medical University, Moscow, Russia
- World-Class Research Center Digital Biodesign and Personalized Healthcare, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Suzanne Phelan
- Department of Kinesiology and Public Health, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA
- Center for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA
| | - Michael R La Frano
- Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA.
- Cal Poly Metabolomics Service Center, California Polytechnic State University, San Luis Obispo, CA, USA.
- Center for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA.
| |
Collapse
|