1
|
Hu Y, Li Y, Zhu H, Wang D, Zhou J, Ni Y, Guo R, Fan B, Li B. In vitro suppression of porcine epidemic diarrhea virus by Panax notoginseng saponins: assessing antiviral potential. Arch Virol 2024; 169:89. [PMID: 38565720 DOI: 10.1007/s00705-024-06020-8] [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: 09/08/2023] [Accepted: 02/12/2024] [Indexed: 04/04/2024]
Abstract
Porcine epidemic diarrhea virus (PEDV) causes severe diarrhea and high mortality in neonatal suckling piglets, leading to significant economic losses to the swine industry. Panax notoginseng saponins (PNS) are bioactive extracts derived from the P. notoginseng plant. In this study, we investigated the anti-PEDV effect of PNS by employing various methodologies to assess their impact on PEDV in Vero cells. Using a CCK-8 (Cell Counting Kit-8) assay, we found that PNS had no significant cytotoxicity below the concentration of 128 µg/mL in Vero cells. Using immunofluorescence assays (IFAs), an enzyme-linked immunosorbent assay (ELISA), and plaque formation assays, we observed a dose-dependent inhibition of PEDV infection by PNS within 24-48 hours postinfection. PNS exerts its anti-PEDV activity specifically at the genome replication stage, and mRNA-seq analysis demonstrated that treatment with PNS resulted in increased expression of various genes, including IFIT1 (interferon-induced protein with tetratricopeptide repeats 1), IFIT3 (interferon-induced protein with tetratricopeptide repeats 3), CFH (complement factor H), IGSF10 (immunoglobulin superfamily member 10), ID2 (inhibitor of DNA binding 2), SPP1 (secreted phosphoprotein 1), PLCB4 (phospholipase C beta 4), and FABP4 (fatty acid binding protein 4), but it resulted in decreased expression of IL1A (interleukin 1 alpha), TNFRSF19 (TNF receptor superfamily member 19), CDH8 (cadherin 8), DDIT3 (DNA damage inducible transcript 3), GADD45A (growth arrest and DNA damage inducible alpha), PTPRG (protein tyrosine phosphatase receptor type G), PCK2 (phosphoenolpyruvate carboxykinase 2), and ADGRA2 (adhesion G protein-coupled receptor A2). This study provides insights into the potential mechanisms underlying the antiviral effects of PNS. Taken together, the results suggest that the PNS might effectively regulate the defense response to the virus and have potential to be used in antiviral therapies.
Collapse
Affiliation(s)
- Yiyi Hu
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Yunchuan Li
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Haodan Zhu
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Dandan Wang
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Junming Zhou
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Yanxiu Ni
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Rongli Guo
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Baochao Fan
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China
| | - Bin Li
- Jiangsu Key Laboratory for Food Quality and Safety-State Key Laboratory Cultivation Base of Ministry of Science and Technology, Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Zhongling Street 50, 210014, Nanjing, China.
- Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonose, Yangzhou University, 225009, Yangzhou, China.
- GuoTai (Taizhou) Center of Technology Innovation for Veterinary Biologicals, 225300, Taizhou, China.
| |
Collapse
|
2
|
Kim J, Cho M, Lim J, Choi H, Hong S. Pathogenic Mechanism of a Highly Virulent Infectious Hematopoietic Necrosis Virus in Head Kidney of Rainbow Trout (Oncorhynchus mykiss) Analyzed by RNA-Seq Transcriptome Profiling. Viruses 2022; 14:v14050859. [PMID: 35632602 PMCID: PMC9143916 DOI: 10.3390/v14050859] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 02/04/2023] Open
Abstract
Infectious hematopoietic necrosis virus (IHNV) is a pathogen that causes high rates of mortality in salmonid fishes. Therefore, an RNA-seq-based transcriptome analysis was performed in the head kidney of rainbow trout infected with a highly virulent IHNV strain to understand the pathogenesis of and defense strategies for IHNV infection in rainbow trout. The results showed that the numbers of DEGs were 618, 2626, and 774 (control vs. IHNV) on days 1, 3, and 5, respectively. Furthermore, the enrichment analysis of gene ontology (GO) annotations to classify DEGs showed that GO terms considerably associated with DEGs were gluconeogenesis, inflammatory response, and cell adhesion in the Biological Process (BP) category, apical plasma membrane, extracellular matrix (ECM) in the Cellular Component category, and transporter activity, integrin binding, and protein homodimerization activity in the Molecular Function category, on days 1, 3, and 5, respectively. Notably, GO terms in the BP category, including the negative regulation of type I interferon production and positive regulation of interleukin-1β secretion, were commonly identified at all time points. In the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, complement and coagulation cascades were commonly identified at all time points. Importantly, the widely recognized GO terms and KEGG pathways extensively linked to DEGs were related to energy metabolism on day 1, the immune response on day 3, and cell proliferation on day 5. Furthermore, protein–protein interaction networks and centrality analysis showed that the metabolism and signaling transduction pathways were majorly upregulated. Conclusively, the virulent IHNV infection drives pathogenesis by activating the metabolic energy pathway for energy use for viral replication, facilitating necrosis through autophagy, and causing a shutoff response of the host immune system through the downregulation of type I IFN at the initial stage of infection.
Collapse
Affiliation(s)
- Jinwoo Kim
- Department of Marine Biotechnology, Gangneung-Wonju National University, Gangneung 25457, Korea; (J.K.); (J.L.)
| | - Miyoung Cho
- Pathology Research Division, National Institute of Fisheries Science, Busan 46083, Korea; (M.C.); (H.C.)
| | - Jongwon Lim
- Department of Marine Biotechnology, Gangneung-Wonju National University, Gangneung 25457, Korea; (J.K.); (J.L.)
| | - Hyeseong Choi
- Pathology Research Division, National Institute of Fisheries Science, Busan 46083, Korea; (M.C.); (H.C.)
| | - Suhee Hong
- Department of Marine Biotechnology, Gangneung-Wonju National University, Gangneung 25457, Korea; (J.K.); (J.L.)
- Correspondence: ; Tel.: +82-33-640-2852
| |
Collapse
|
3
|
Seenappa V, Joshi MB, Satyamoorthy K. Intricate Regulation of Phosphoenolpyruvate Carboxykinase (PEPCK) Isoforms in Normal Physiology and Disease. Curr Mol Med 2020; 19:247-272. [PMID: 30947672 DOI: 10.2174/1566524019666190404155801] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 03/25/2019] [Accepted: 03/27/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND The phosphoenolpyruvate carboxykinase (PEPCK) isoforms are considered as rate-limiting enzymes for gluconeogenesis and glyceroneogenesis pathways. PEPCK exhibits several interesting features such as a) organelle-specific isoforms (cytosolic and a mitochondrial) in vertebrate clade, b) tissue-specific expression of isoforms and c) organism-specific requirement of ATP or GTP as a cofactor. In higher organisms, PEPCK isoforms are intricately regulated and activated through several physiological and pathological stimuli such as corticoids, hormones, nutrient starvation and hypoxia. Isoform-specific transcriptional/translational regulation and their interplay in maintaining glucose homeostasis remain to be fully understood. Mounting evidence indicates the significant involvement of PEPCK isoforms in physiological processes (development and longevity) and in the progression of a variety of diseases (metabolic disorders, cancer, Smith-Magenis syndrome). OBJECTIVE The present systematic review aimed to assimilate existing knowledge of transcriptional and translational regulation of PEPCK isoforms derived from cell, animal and clinical models. CONCLUSION Based on current knowledge and extensive bioinformatics analysis, in this review we have provided a comparative (epi)genetic understanding of PCK1 and PCK2 genes encompassing regulatory elements, disease-associated polymorphisms, copy number variations, regulatory miRNAs and CpG densities. We have also discussed various exogenous and endogenous modulators of PEPCK isoforms and their signaling mechanisms. A comprehensive review of existing knowledge of PEPCK regulation and function may enable identification of the underlying gaps to design new pharmacological strategies and interventions for the diseases associated with gluconeogenesis.
Collapse
Affiliation(s)
- Venu Seenappa
- School of Life Sciences, Manipal Academy of Higher Education, Manipal - 576104, India
| | - Manjunath B Joshi
- School of Life Sciences, Manipal Academy of Higher Education, Manipal - 576104, India
| | - Kapaettu Satyamoorthy
- School of Life Sciences, Manipal Academy of Higher Education, Manipal - 576104, India
| |
Collapse
|
4
|
Simillion C, Semmo N, Idle JR, Beyoğlu D. Robust Regression Analysis of GCMS Data Reveals Differential Rewiring of Metabolic Networks in Hepatitis B and C Patients. Metabolites 2017; 7:metabo7040051. [PMID: 28991180 PMCID: PMC5746731 DOI: 10.3390/metabo7040051] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 09/30/2017] [Accepted: 10/05/2017] [Indexed: 12/17/2022] Open
Abstract
About one in 15 of the world’s population is chronically infected with either hepatitis virus B (HBV) or C (HCV), with enormous public health consequences. The metabolic alterations caused by these infections have never been directly compared and contrasted. We investigated groups of HBV-positive, HCV-positive, and uninfected healthy controls using gas chromatography-mass spectrometry analyses of their plasma and urine. A robust regression analysis of the metabolite data was conducted to reveal correlations between metabolite pairs. Ten metabolite correlations appeared for HBV plasma and urine, with 18 for HCV plasma and urine, none of which were present in the controls. Metabolic perturbation networks were constructed, which permitted a differential view of the HBV- and HCV-infected liver. HBV hepatitis was consistent with enhanced glucose uptake, glycolysis, and pentose phosphate pathway metabolism, the latter using xylitol and producing threonic acid, which may also be imported by glucose transporters. HCV hepatitis was consistent with impaired glucose uptake, glycolysis, and pentose phosphate pathway metabolism, with the tricarboxylic acid pathway fueled by branched-chain amino acids feeding gluconeogenesis and the hepatocellular loss of glucose, which most probably contributed to hyperglycemia. It is concluded that robust regression analyses can uncover metabolic rewiring in disease states.
Collapse
Affiliation(s)
- Cedric Simillion
- Interfaculty Bioinformatics Unit and SIB Swiss Institute of Bioinformatics, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland.
- Department of BioMedical Research, University of Bern, Murtenstrasse 35, 3008 Bern, Switzerland.
| | - Nasser Semmo
- Department of BioMedical Research, University of Bern, Murtenstrasse 35, 3008 Bern, Switzerland.
- Department of Visceral Surgery and Medicine, Department of Hepatology, Inselspital, University Hospital of Bern, 3010 Bern, Switzerland.
| | - Jeffrey R Idle
- Department of BioMedical Research, University of Bern, Murtenstrasse 35, 3008 Bern, Switzerland.
- Department of Visceral Surgery and Medicine, Department of Hepatology, Inselspital, University Hospital of Bern, 3010 Bern, Switzerland.
- Division of Systems Pharmacology and Pharmacogenomics, Samuel J. and Joan B. Williamson Institute, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, 11201 New York, NY, USA.
| | - Diren Beyoğlu
- Department of BioMedical Research, University of Bern, Murtenstrasse 35, 3008 Bern, Switzerland.
- Division of Systems Pharmacology and Pharmacogenomics, Samuel J. and Joan B. Williamson Institute, Arnold & Marie Schwartz College of Pharmacy and Health Sciences, Long Island University, Brooklyn, 11201 New York, NY, USA.
| |
Collapse
|