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Wei K, Li Y, Du B, Wu J. Differences in Airway Remodeling and Emphysematous Lesions between Rats Exposed to Smoke from New-Type and Conventional Tobacco Varieties. Antioxidants (Basel) 2024; 13:511. [PMID: 38790616 PMCID: PMC11117731 DOI: 10.3390/antiox13050511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/17/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024] Open
Abstract
Genes from Perilla frutescens and Ocimum basilicum were introduced into N. tabacum L. var. HHY via distant hybridization, and the new-type tobacco varieties "Zisu" and "Luole" were developed, with noticeable differences in chemical composition. Smoking is the leading cause of chronic obstructive pulmonary disease (COPD), and its pathogenesis is complex. In the present study, 48 male Sprague-Dawley (SD) rats were randomly divided into four groups, namely, the control, "HHY", "Zisu" and "Luole", and then exposed to fresh air/cigarette smoke (CS) for 30 days and 60 days. The COPD model was constructed, and their health hazards were compared and evaluated. CS from different tobacco varieties influenced rats in varying degrees at the tissue, cell and molecular levels. The rats in the "HHY" group showed obvious symptoms, such as cough and dyspnea, which were less severe in the "Zisu" and "Luole" groups. Pathological and morphological analyses, including scores, MLI, MAN, WAt/Pbm and WAm/Pbm, showed that "Zisu" and "Luole" caused less damage to the airways and lung parenchyma than "HHY". Significant increases in the numbers of total leukocytes and neutrophils in the BALF were found in "HHY" compared to those in "Zisu" and "Luole". Moreover, they caused less oxidative stress and apoptosis in lung tissues, as reflected by indicators such as ROS, MDA, T-AOC, GSH, the apoptotic index and the ratio of Bcl-2 to Bax. "Zisu" and "Luole" even altered the ratios of MMP-9/TIMP-1 and IFN-γ/IL-4 in lung tissues to a lesser degree. These differences between CS-exposed rats may be closely related to the altered expression of Nrf2, p38 MAPK and p-p38 MAPK. Changes in chemical composition via introducing genes from some medicinal plants may be an attractive strategy for tobacco harm reduction.
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Affiliation(s)
- Keqiang Wei
- School of Life Science, Shanxi University, Taiyuan 030006, China
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Keerthiga R, Pei DS, Fu A. Mitochondrial dysfunction, UPR mt signaling, and targeted therapy in metastasis tumor. Cell Biosci 2021; 11:186. [PMID: 34717757 PMCID: PMC8556915 DOI: 10.1186/s13578-021-00696-0] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 10/02/2021] [Indexed: 12/13/2022] Open
Abstract
In modern research, mitochondria are considered a more crucial energy plant in cells. Mitochondrial dysfunction, including mitochondrial DNA (mtDNA) mutation and denatured protein accumulation, is a common feature of tumors. The dysfunctional mitochondria reprogram molecular metabolism and allow tumor cells to proliferate in the hostile microenvironment. One of the crucial signaling pathways of the mitochondrial dysfunction activation in the tumor cells is the retrograde signaling of mitochondria-nucleus interaction, mitochondrial unfolded protein response (UPRmt), which is initiated by accumulation of denatured protein and excess ROS production. In the process of UPRmt, various components are activitated to enhance the mitochondria-nucleus retrograde signaling to promote carcinoma progression, including hypoxia-inducible factor (HIF), activating transcription factor ATF-4, ATF-5, CHOP, AKT, AMPK. The retrograde signaling molecules of overexpression ATF-5, SIRT3, CREB, SOD1, SOD2, early growth response protein 1 (EGR1), ATF2, CCAAT/enhancer-binding protein-d, and CHOP also involved in the process. Targeted blockage of the UPRmt pathway could obviously inhibit tumor proliferation and metastasis. This review indicates the UPRmt pathways and its crucial role in targeted therapy of metastasis tumors.
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Affiliation(s)
| | - De-Sheng Pei
- School of Public Health and Management, Chongqing Medical University, Chongqing, 400016, China.
| | - Ailing Fu
- College of Pharmaceutical Sciences, Southwest University, Chongqing, China.
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Weng DY, Chen J, Taslim C, Hsu PC, Marian C, David SP, Loffredo CA, Shields PG. Persistent alterations of gene expression profiling of human peripheral blood mononuclear cells from smokers. Mol Carcinog 2016; 55:1424-37. [PMID: 26294040 PMCID: PMC4860148 DOI: 10.1002/mc.22385] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Revised: 07/04/2015] [Accepted: 08/03/2015] [Indexed: 01/12/2023]
Abstract
The number of validated biomarkers of tobacco smoke exposure is limited, and none exist for tobacco-related cancer. Additional biomarkers for smoke, effects on cellular systems in vivo are needed to improve early detection of lung cancer, and to assist the Food and Drug Administration in regulating exposures to tobacco products. We assessed the effects of smoking on the gene expression using human cell cultures and blood from a cross-sectional study. We profiled global transcriptional changes in cultured smokers' peripheral blood mononuclear cells (PBMCs) treated with cigarette smoke condensate (CSC) in vitro (n = 7) and from well-characterized smokers' blood (n = 36). ANOVA with adjustment for covariates and Pearson correlation were used for statistical analysis in this study. CSC in vitro altered the expression of 1 178 genes (177 genes with > 1.5-fold-change) at P < 0.05. In vivo, PBMCs of heavy and light smokers differed for 614 genes (29 with > 1.5-fold-change) at P < 0.05 (309 remaining significant after adjustment for age, race, and gender). Forty-one genes were persistently altered both in vitro and in vivo, 22 having the same expression pattern reported for non-small cell lung cancer. Our data provides evidence that persistent alterations of gene expression in vitro and in vivo may relate to carcinogenic effects of cigarette smoke, and the identified genes may serve as potential biomarkers for cancer. The use of an in vitro model to corroborate results from human studies provides a novel way to understand human exposure and effect. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Daniel Y Weng
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Jinguo Chen
- Center for Human Immunology, National Institute of Health, Bethesda, Maryland
| | - Cenny Taslim
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Ping-Ching Hsu
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Catalin Marian
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
- University of Medicine and Pharmacy, Timisoara, Romania
| | - Sean P David
- Department of Medicine, Stanford University School of Medicine, Stanford, California
| | - Christopher A Loffredo
- Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, District of Columbia
| | - Peter G Shields
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.
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Yang Q, Zhang S, Liu H, Wu J, Xu E, Peng B, Jiang Y. Oncogenic role of long noncoding RNA AF118081 in anti-benzo[a]pyrene-trans-7,8-dihydrodiol-9,10-epoxide-transformed 16HBE cells. Toxicol Lett 2014; 229:430-9. [PMID: 25050996 DOI: 10.1016/j.toxlet.2014.07.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2014] [Revised: 07/02/2014] [Accepted: 07/06/2014] [Indexed: 01/23/2023]
Abstract
Lung cancer is the leading cause of cancer deaths and remains an important public health problem worldwide. Long noncoding RNAs (lncRNAs) are newly identified regulators of tumorigenesis and tumor progression. However, the role of lncRNAs in lung cancer induced by environmental carcinogens remains largely unknown. In this study, an lncRNA microarray was used to compare the expression profiles of malignantly transformed 16HBE cells (16HBE-T) induced with anti-benzo[a]pyrene-trans-7,8-diol-9,10-epoxide (anti-BPDE) and normal 16HBE cells (16HBE-N). Using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR), lncRNA AF118081 was identified as the most significantly overexpressed lncRNA in 16HBE-T cells, lung cancer cells, and patient samples. Cell proliferation, colony formation, apoptosis, migration, and invasion were assayed in 16HBE-T cells following the knockdown of lncRNA AF118081 with small interfering RNA. AF118081 knockdown inhibited cell growth and tumor invasion. An in vivo (nude mouse) model was then used to assay tumor growth, and the downregulation of AF118081 clearly suppressed tumor growth, consistent with the results of the in vitro assays. Together, these findings identify a new oncogenic lncRNA, lncRNA AF118081, in malignantly transformed 16HBE cells. This enhances our understanding of lncRNAs as important regulatory elements in chemical carcinogenesis and potential targets of lung cancer therapies.
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Affiliation(s)
- Qiaoyuan Yang
- Institute for Chemical Carcinogenesis, State Key Laboratory for Respiratory Diseases, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Shaozhu Zhang
- Institute for Chemical Carcinogenesis, State Key Laboratory for Respiratory Diseases, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Huanying Liu
- Institute for Chemical Carcinogenesis, State Key Laboratory for Respiratory Diseases, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Jianjun Wu
- Institute for Chemical Carcinogenesis, State Key Laboratory for Respiratory Diseases, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Enwu Xu
- Department of Thoracic Surgery, General Hospital of Guangzhou Military Command of Chinese People's Liberation Army, Guangzhou 510010, PR China
| | - Baoying Peng
- Institute for Chemical Carcinogenesis, State Key Laboratory for Respiratory Diseases, Guangzhou Medical University, Guangzhou 510182, PR China
| | - Yiguo Jiang
- Institute for Chemical Carcinogenesis, State Key Laboratory for Respiratory Diseases, Guangzhou Medical University, Guangzhou 510182, PR China.
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Younesi E, Ansari S, Guendel M, Ahmadi S, Coggins C, Hoeng J, Hofmann-Apitius M, Peitsch MC. CSEO - the Cigarette Smoke Exposure Ontology. J Biomed Semantics 2014; 5:31. [PMID: 25093069 PMCID: PMC4120729 DOI: 10.1186/2041-1480-5-31] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2013] [Accepted: 07/03/2014] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND In the past years, significant progress has been made to develop and use experimental settings for extensive data collection on tobacco smoke exposure and tobacco smoke exposure-associated diseases. Due to the growing number of such data, there is a need for domain-specific standard ontologies to facilitate the integration of tobacco exposure data. RESULTS The CSEO (version 1.0) is composed of 20091 concepts. The ontology in its current form is able to capture a wide range of cigarette smoke exposure concepts within the knowledge domain of exposure science with a reasonable sensitivity and specificity. Moreover, it showed a promising performance when used to answer domain expert questions. The CSEO complies with standard upper-level ontologies and is freely accessible to the scientific community through a dedicated wiki at https://publicwiki-01.fraunhofer.de/CSEO-Wiki/index.php/Main_Page. CONCLUSIONS The CSEO has potential to become a widely used standard within the academic and industrial community. Mainly because of the emerging need of systems toxicology to controlled vocabularies and also the lack of suitable ontologies for this domain, the CSEO prepares the ground for integrative systems-based research in the exposure science.
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Affiliation(s)
- Erfan Younesi
- Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53754 Sankt Augustin, Germany
| | - Sam Ansari
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Michaela Guendel
- Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53754 Sankt Augustin, Germany
| | - Shiva Ahmadi
- Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53754 Sankt Augustin, Germany
| | - Chris Coggins
- Carson Watts Consulting, 1266 Carson Watts Rd, King, NC 27021-7453, USA
| | - Julia Hoeng
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Martin Hofmann-Apitius
- Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Schloss Birlinghoven, 53754 Sankt Augustin, Germany
| | - Manuel C Peitsch
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
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Boué S, De León H, Schlage WK, Peck MJ, Weiler H, Berges A, Vuillaume G, Martin F, Friedrichs B, Lebrun S, Meurrens K, Schracke N, Moehring M, Steffen Y, Schueller J, Vanscheeuwijck P, Peitsch MC, Hoeng J. Cigarette smoke induces molecular responses in respiratory tissues of ApoE−/− mice that are progressively deactivated upon cessation. Toxicology 2013; 314:112-24. [DOI: 10.1016/j.tox.2013.09.013] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2013] [Revised: 09/24/2013] [Accepted: 09/24/2013] [Indexed: 12/25/2022]
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Ansari S, Binder J, Boue S, Di Fabio A, Hayes W, Hoeng J, Iskandar A, Kleiman R, Norel R, O'Neel B, Peitsch MC, Poussin C, Pratt D, Rhrissorrakrai K, Schlage WK, Stolovitzky G, Talikka M. On Crowd-verification of Biological Networks. Bioinform Biol Insights 2013; 7:307-25. [PMID: 24151423 PMCID: PMC3798292 DOI: 10.4137/bbi.s12932] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Biological networks with a structured syntax are a powerful way of representing biological information generated from high density data; however, they can become unwieldy to manage as their size and complexity increase. This article presents a crowd-verification approach for the visualization and expansion of biological networks. Web-based graphical interfaces allow visualization of causal and correlative biological relationships represented using Biological Expression Language (BEL). Crowdsourcing principles enable participants to communally annotate these relationships based on literature evidences. Gamification principles are incorporated to further engage domain experts throughout biology to gather robust peer-reviewed information from which relationships can be identified and verified. The resulting network models will represent the current status of biological knowledge within the defined boundaries, here processes related to human lung disease. These models are amenable to computational analysis. For some period following conclusion of the challenge, the published models will remain available for continuous use and expansion by the scientific community.
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Hoeng J, Talikka M, Martin F, Sewer A, Yang X, Iskandar A, Schlage WK, Peitsch MC. Case study: the role of mechanistic network models in systems toxicology. Drug Discov Today 2013; 19:183-92. [PMID: 23933191 DOI: 10.1016/j.drudis.2013.07.023] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2013] [Revised: 07/14/2013] [Accepted: 07/25/2013] [Indexed: 10/26/2022]
Abstract
Twenty first century systems toxicology approaches enable the discovery of biological pathways affected in response to active substances. Here, we briefly summarize current network approaches that facilitate the detailed mechanistic understanding of the impact of a given stimulus on a biological system. We also introduce our network-based method with two use cases and show how causal biological network models combined with computational methods provide quantitative mechanistic insights. Our approach provides a robust comparison of the transcriptional responses in different experimental systems and enables the identification of network-based biomarkers modulated in response to exposure. These advances can also be applied to pharmacology, where the understanding of disease mechanisms and adverse drug effects is imperative for the development of efficient and safe treatment options.
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Affiliation(s)
- Julia Hoeng
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Marja Talikka
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Florian Martin
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Alain Sewer
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Xiang Yang
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Anita Iskandar
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Walter K Schlage
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland
| | - Manuel C Peitsch
- Philip Morris International R&D, Philip Morris Products S.A., Quai Jeanrenaud 5, 2000 Neuchâtel, Switzerland.
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