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Yeyeodu S, Hanafi D, Webb K, Laurie NA, Kimbro KS. Population-enriched innate immune variants may identify candidate gene targets at the intersection of cancer and cardio-metabolic disease. Front Endocrinol (Lausanne) 2024; 14:1286979. [PMID: 38577257 PMCID: PMC10991756 DOI: 10.3389/fendo.2023.1286979] [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: 09/01/2023] [Accepted: 12/07/2023] [Indexed: 04/06/2024] Open
Abstract
Both cancer and cardio-metabolic disease disparities exist among specific populations in the US. For example, African Americans experience the highest rates of breast and prostate cancer mortality and the highest incidence of obesity. Native and Hispanic Americans experience the highest rates of liver cancer mortality. At the same time, Pacific Islanders have the highest death rate attributed to type 2 diabetes (T2D), and Asian Americans experience the highest incidence of non-alcoholic fatty liver disease (NAFLD) and cancers induced by infectious agents. Notably, the pathologic progression of both cancer and cardio-metabolic diseases involves innate immunity and mechanisms of inflammation. Innate immunity in individuals is established through genetic inheritance and external stimuli to respond to environmental threats and stresses such as pathogen exposure. Further, individual genomes contain characteristic genetic markers associated with one or more geographic ancestries (ethnic groups), including protective innate immune genetic programming optimized for survival in their corresponding ancestral environment(s). This perspective explores evidence related to our working hypothesis that genetic variations in innate immune genes, particularly those that are commonly found but unevenly distributed between populations, are associated with disparities between populations in both cancer and cardio-metabolic diseases. Identifying conventional and unconventional innate immune genes that fit this profile may provide critical insights into the underlying mechanisms that connect these two families of complex diseases and offer novel targets for precision-based treatment of cancer and/or cardio-metabolic disease.
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Affiliation(s)
- Susan Yeyeodu
- Julius L Chambers Biomedical/Biotechnology Institute (JLC-BBRI), North Carolina Central University, Durham, NC, United States
- Charles River Discovery Services, Morrisville, NC, United States
| | - Donia Hanafi
- Julius L Chambers Biomedical/Biotechnology Institute (JLC-BBRI), North Carolina Central University, Durham, NC, United States
| | - Kenisha Webb
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA, United States
| | - Nikia A. Laurie
- Julius L Chambers Biomedical/Biotechnology Institute (JLC-BBRI), North Carolina Central University, Durham, NC, United States
| | - K. Sean Kimbro
- Department of Microbiology, Biochemistry, and Immunology, Morehouse School of Medicine, Atlanta, GA, United States
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Nakayama M, Marchi H, Dmitrieva AM, Chakraborty A, Merl-Pham J, Hennen E, Le Gleut R, Ruppert C, Guenther A, Kahnert K, Behr J, Hilgendorff A, Hauck SM, Adler H, Staab-Weijnitz CA. Quantitative proteomics of differentiated primary bronchial epithelial cells from chronic obstructive pulmonary disease and control identifies potential novel host factors post-influenza A virus infection. Front Microbiol 2023; 13:957830. [PMID: 36713229 PMCID: PMC9875134 DOI: 10.3389/fmicb.2022.957830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 12/19/2022] [Indexed: 01/12/2023] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) collectively refers to chronic and progressive lung diseases that cause irreversible limitations in airflow. Patients with COPD are at high risk for severe respiratory symptoms upon influenza virus infection. Airway epithelial cells provide the first-line antiviral defense, but whether or not their susceptibility and response to influenza virus infection changes in COPD have not been elucidated. Therefore, this study aimed to compare the susceptibility of COPD- and control-derived airway epithelium to the influenza virus and assess protein changes during influenza virus infection by quantitative proteomics. Materials and methods The presence of human- and avian-type influenza A virus receptor was assessed in control and COPD lung sections as well as in fully differentiated primary human bronchial epithelial cells (phBECs) by lectin- or antibody-based histochemical staining. PhBECs were from COPD lungs, including cells from moderate- and severe-stage diseases, and from age-, sex-, smoking, and history-matched control lung specimens. Protein profiles pre- and post-influenza virus infection in vitro were directly compared using quantitative proteomics, and selected findings were validated by qRT-PCR and immunoblotting. Results The human-type influenza receptor was more abundant in human airways than the avian-type influenza receptor, a property that was retained in vitro when differentiating phBECs at the air-liquid interface. Proteomics of phBECs pre- and post-influenza A virus infection with A/Puerto Rico/8/34 (PR8) revealed no significant differences between COPD and control phBECs in terms of flu receptor expression, cell type composition, virus replication, or protein profile pre- and post-infection. Independent of health state, a robust antiviral response to influenza virus infection was observed, as well as upregulation of several novel influenza virus-regulated proteins, including PLSCR1, HLA-F, CMTR1, DTX3L, and SHFL. Conclusion COPD- and control-derived phBECs did not differ in cell type composition, susceptibility to influenza virus infection, and proteomes pre- and post-infection. Finally, we identified novel influenza A virus-regulated proteins in bronchial epithelial cells that might serve as potential targets to modulate the pathogenicity of infection and acute exacerbations.
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Affiliation(s)
- Misako Nakayama
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,Division of Pathogenesis and Disease Regulation, Department of Pathology, Shiga University of Medical Science, Otsu, Japan
| | - Hannah Marchi
- Core Facility Statistical Consulting, Helmholtz Zentrum München, Munich, Germany,Faculty of Business Administration and Economics, Bielefeld University, Bielefeld, Germany
| | - Anna M. Dmitrieva
- Research Unit Lung Repair and Regeneration, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Ashesh Chakraborty
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Juliane Merl-Pham
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany
| | - Elisabeth Hennen
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Ronan Le Gleut
- Core Facility Statistical Consulting, Helmholtz Zentrum München, Munich, Germany
| | - Clemens Ruppert
- Department of Internal Medicine, Medizinische Klinik II, Member of the German Center of Lung Research (DZL), Giessen, Germany
| | - Andreas Guenther
- Department of Internal Medicine, Medizinische Klinik II, Member of the German Center of Lung Research (DZL), Giessen, Germany
| | - Kathrin Kahnert
- Department of Medicine V, Ludwig Maximilian University (LMU) Munich, Member of the German Center of Lung Research, University Hospital, Munich, Germany
| | - Jürgen Behr
- Department of Medicine V, Ludwig Maximilian University (LMU) Munich, Member of the German Center of Lung Research, University Hospital, Munich, Germany
| | - Anne Hilgendorff
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany
| | - Stefanie M. Hauck
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany
| | - Heiko Adler
- Research Unit Lung Repair and Regeneration, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,Institute of Asthma and Allergy Prevention, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,*Correspondence: Heiko Adler,
| | - Claudia A. Staab-Weijnitz
- Institute of Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M BioArchive, Helmholtz Zentrum München, Member of the German Center of Lung Research (DZL), Munich, Germany,Claudia A. Staab-Weijnitz, ; https://orcid.org/0000-0002-1211-7834
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Identification of Critical Genes and Pathways for Influenza A Virus Infections via Bioinformatics Analysis. Viruses 2022; 14:v14081625. [PMID: 35893690 PMCID: PMC9332270 DOI: 10.3390/v14081625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 07/18/2022] [Accepted: 07/23/2022] [Indexed: 01/27/2023] Open
Abstract
Influenza A virus (IAV) requires the host cellular machinery for many aspects of its life cycle. Knowledge of these host cell requirements not only reveals molecular pathways exploited by the virus or triggered by the immune system but also provides further targets for antiviral drug development. To uncover critical pathways and potential targets of influenza infection, we assembled a large amount of data from 8 RNA sequencing studies of IAV infection for integrative network analysis. Weighted gene co-expression network analysis (WGCNA) was performed to investigate modules and genes correlated with the time course of infection and/or multiplicity of infection (MOI). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed to explore the biological functions and pathways of the genes in 5 significant modules. Top hub genes were identified using the cytoHubba plugin in the protein interaction network. The correlation between expression levels of 7 top hub genes and time course or MOI was displayed and validated, including BCL2L13, PLSCR1, ARID5A, LMO2, NDRG4, HAP1, and CARD10. Dysregulated expression of these genes potently impacted the development of IAV infection through modulating IAV-related biological processes and pathways. This study provides further insights into the underlying molecular mechanisms and potential targets in IAV infection.
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