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Miron-Mendoza M, Poole K, DiCesare S, Nakahara E, Bhatt MP, Hulleman JD, Petroll WM. The Role of Vimentin in Human Corneal Fibroblast Spreading and Myofibroblast Transformation. Cells 2024; 13:1094. [PMID: 38994947 PMCID: PMC11240817 DOI: 10.3390/cells13131094] [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: 06/08/2024] [Accepted: 06/22/2024] [Indexed: 07/13/2024] Open
Abstract
Vimentin has been reported to play diverse roles in cell processes such as spreading, migration, cell-matrix adhesion, and fibrotic transformation. Here, we assess how vimentin impacts cell spreading, morphology, and myofibroblast transformation of human corneal fibroblasts. Overall, although knockout (KO) of vimentin did not dramatically impact corneal fibroblast spreading and mechanical activity (traction force), cell elongation in response to PDGF was reduced in vimentin KO cells as compared to controls. Blocking vimentin polymerization using Withaferin had even more pronounced effects on cell spreading and also inhibited cell-induced matrix contraction. Furthermore, although absence of vimentin did not completely block TGFβ-induced myofibroblast transformation, the degree of transformation and amount of αSMA protein expression was reduced. Proteomics showed that vimentin KO cells cultured in TGFβ had a similar pattern of protein expression as controls. One exception included periostin, an ECM protein associated with wound healing and fibrosis in other cell types, which was highly expressed only in Vim KO cells. We also demonstrate for the first time that LRRC15, a protein previously associated with myofibroblast transformation of cancer-associated fibroblasts, is also expressed by corneal myofibroblasts. Interestingly, proteins associated with LRRC15 in other cell types, such as collagen, fibronectin, β1 integrin and α11 integrin, were also upregulated. Overall, our data show that vimentin impacts both corneal fibroblast spreading and myofibroblast transformation. We also identified novel proteins that may regulate corneal myofibroblast transformation in the presence and/or absence of vimentin.
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Affiliation(s)
- Miguel Miron-Mendoza
- Department of Ophthalmology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Kara Poole
- Department of Ophthalmology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Sophie DiCesare
- Department of Ophthalmology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Emi Nakahara
- Department of Ophthalmology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Meet Paresh Bhatt
- Department of Ophthalmology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - John D. Hulleman
- Department of Ophthalmology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Walter Matthew Petroll
- Department of Ophthalmology, UT Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Biomedical Engineering, UT Southwestern Medical Center, Dallas, TX 75390, USA
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2
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Zhang L, Tan J, Liu Y, Luo M. Curcumin relieves arecoline-induced oral submucous fibrosis via inhibiting the LTBP2/NF-κB axis. Oral Dis 2024; 30:2314-2324. [PMID: 37382472 DOI: 10.1111/odi.14656] [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: 03/13/2023] [Revised: 05/15/2023] [Accepted: 06/12/2023] [Indexed: 06/30/2023]
Abstract
BACKGROUND Submucosal fibrosis (OSF) of the oral cavity is a chronic scarring disease. Arecoline (Are) is the driving factor for the occurrence and deterioration of OSF. Curcumin plays a vital anti-inflammatory role in Are-induced OSF development. However, its potential pharmacological mechanism needs to be elucidated. METHODS The relative molecular level was measured via qRT-PCR or Western blot. MTT assay, transwell assay and flow cytometry detected cell proliferation, migration, and apoptosis. The correlation between hypoxia-inducible factor-1α (HIF-1α) and LTBP2 promoter was confirmed through dual-luciferase reporter assay. ELISA was performed to detect inflammatory cytokines levels. RESULTS Curcumin alleviated Are-induced oral mucosal fibroblast cells fibrosis by reducing oral mucosa fibroblasts viability, promoting cell apoptosis, suppressing cell migration, and down-regulating the levels of fibrosis markers and inflammatory factors. Curcumin relieved Are-induced OSF via inhibiting HIF-1α. Mechanically, HIF-1α bound to the promoter of LTBP2 to transcriptionally activated LTBP2. LTBP2 knockdown relieved Are-induced OSF, and curcumin down-regulated LTBP2 via inhibiting HIF-1α to relieve Are-induced OSF. Moreover, curcumin decreased NF-κB signal associated proteins via inhibiting LTBP2 to relieve Are-induced OSF. CONCLUSION Curcumin reduced the transcription level of LTBP2 by inhibiting HIF-1α, thereby inactivating NF-κB pathway to alleviate Are-induced OSF.
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Affiliation(s)
- Lin Zhang
- Department of Stomatology, The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, Hunan Province, China
| | - Jin Tan
- Department of Stomatology, The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, Hunan Province, China
| | - Yiping Liu
- Department of Stomatology, The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha, Hunan Province, China
| | - Mang Luo
- Hunan Changsha Maternal and Child Health Hospital, Changsha, Hunan Province, China
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3
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Oldham JM, Huang Y, Bose S, Ma SF, Kim JS, Schwab A, Ting C, Mou K, Lee CT, Adegunsoye A, Ghodrati S, Pugashetti JV, Nazemi N, Strek ME, Linderholm AL, Chen CH, Murray S, Zemans RL, Flaherty KR, Martinez FJ, Noth I. Proteomic Biomarkers of Survival in Idiopathic Pulmonary Fibrosis. Am J Respir Crit Care Med 2024; 209:1111-1120. [PMID: 37847691 PMCID: PMC11092951 DOI: 10.1164/rccm.202301-0117oc] [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: 01/18/2023] [Accepted: 10/16/2023] [Indexed: 10/19/2023] Open
Abstract
Rationale: Idiopathic pulmonary fibrosis (IPF) causes progressive lung scarring and high mortality. Reliable and accurate prognostic biomarkers are urgently needed. Objectives: To identify and validate circulating protein biomarkers of IPF survival. Methods: High-throughput proteomic data were generated using prospectively collected plasma samples from patients with IPF from the Pulmonary Fibrosis Foundation Patient Registry (discovery cohort) and the Universities of California, Davis; Chicago; and Virginia (validation cohort). Proteins associated with three-year transplant-free survival (TFS) were identified using multivariable Cox proportional hazards regression. Those associated with TFS after adjustment for false discovery in the discovery cohort were advanced for testing in the validation cohort, with proteins maintaining TFS association with consistent effect direction considered validated. After combining cohorts, functional analyses were performed, and machine learning was used to derive a proteomic signature of TFS. Measurements and Main Results: Of 2,921 proteins tested in the discovery cohort (n = 871), 231 were associated with differential TFS. Of these, 140 maintained TFS association with consistent effect direction in the validation cohort (n = 355). After cohorts were combined, the validated proteins with the strongest TFS association were latent-transforming growth factor β-binding protein 2 (hazard ratio [HR], 2.43; 95% confidence interval [CI] = 2.09-2.82), collagen α-1(XXIV) chain (HR, 2.21; 95% CI = 1.86-2.39), and keratin 19 (HR, 1.60; 95% CI = 1.47-1.74). In decision curve analysis, a proteomic signature of TFS outperformed a similarly derived clinical prediction model. Conclusions: In the largest proteomic investigation of IPF outcomes performed to date, we identified and validated 140 protein biomarkers of TFS. These results shed important light on potential drivers of IPF progression.
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Affiliation(s)
- Justin M. Oldham
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
- Department of Epidemiology, and
| | - Yong Huang
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Swaraj Bose
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Shwu-Fan Ma
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - John S. Kim
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Alexandra Schwab
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
| | - Christopher Ting
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Kaniz Mou
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Cathryn T. Lee
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Ayodeji Adegunsoye
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Sahand Ghodrati
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California
| | | | - Nazanin Nazemi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Mary E. Strek
- Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, Illinois
| | - Angela L. Linderholm
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California
| | - Ching-Hsien Chen
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, Davis, Davis, California
| | - Susan Murray
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Rachel L. Zemans
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
| | - Kevin R. Flaherty
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine
- Pulmonary Fibrosis Foundation, Chicago, Illinois; and
| | | | - Imre Noth
- Division of Pulmonary and Critical Care Medicine, University of Virginia, Charlottesville, Virginia
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4
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Zheng Y, Schupp JC, Adams T, Clair G, Justet A, Ahangari F, Yan X, Hansen P, Carlon M, Cortesi E, Vermant M, Vos R, De Sadeleer LJ, Rosas IO, Pineda R, Sembrat J, Königshoff M, McDonough JE, Vanaudenaerde BM, Wuyts WA, Kaminski N, Ding J. Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex Diseases. RESEARCH SQUARE 2023:rs.3.rs-3676579. [PMID: 38196613 PMCID: PMC10775382 DOI: 10.21203/rs.3.rs-3676579/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Human diseases are characterized by intricate cellular dynamics. Single-cell sequencing provides critical insights, yet a persistent gap remains in computational tools for detailed disease progression analysis and targeted in-silico drug interventions. Here, we introduce UNAGI, a deep generative neural network tailored to analyze time-series single-cell transcriptomic data. This tool captures the complex cellular dynamics underlying disease progression, enhancing drug perturbation modeling and discovery. When applied to a dataset from patients with Idiopathic Pulmonary Fibrosis (IPF), UNAGI learns disease-informed cell embeddings that sharpen our understanding of disease progression, leading to the identification of potential therapeutic drug candidates. Validation via proteomics reveals the accuracy of UNAGI's cellular dynamics analyses, and the use of the Fibrotic Cocktail treated human Precision-cut Lung Slices confirms UNAGI's predictions that Nifedipine, an antihypertensive drug, may have antifibrotic effects on human tissues. UNAGI's versatility extends to other diseases, including a COVID dataset, demonstrating adaptability and confirming its broader applicability in decoding complex cellular dynamics beyond IPF, amplifying its utility in the quest for therapeutic solutions across diverse pathological landscapes.
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Affiliation(s)
- Yumin Zheng
- Quantitative Life Sciences, Faculty of Medicine & Health Sciences, McGill University, Montreal, QC, Canada
- Meakins-Christie Laboratories, Translational Research in Respiratory Diseases Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Jonas C. Schupp
- Pulmonary, Critical Care and Sleep Medicine, Yale University, School of Medicine, New Haven, CT, United States
| | - Taylor Adams
- Pulmonary, Critical Care and Sleep Medicine, Yale University, School of Medicine, New Haven, CT, United States
| | - Geremy Clair
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Aurelien Justet
- Pulmonary, Critical Care and Sleep Medicine, Yale University, School of Medicine, New Haven, CT, United States
| | - Farida Ahangari
- Pulmonary, Critical Care and Sleep Medicine, Yale University, School of Medicine, New Haven, CT, United States
| | - Xiting Yan
- Pulmonary, Critical Care and Sleep Medicine, Yale University, School of Medicine, New Haven, CT, United States
| | - Paul Hansen
- Meakins-Christie Laboratories, Translational Research in Respiratory Diseases Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Marianne Carlon
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Belgium
| | - Emanuela Cortesi
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Belgium
| | - Marie Vermant
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Belgium
| | - Robin Vos
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Belgium
| | - Laurens J. De Sadeleer
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Belgium
| | - Ivan O Rosas
- Division of Pulmonary, Critical Care and Sleep Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Ricardo Pineda
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - John Sembrat
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Melanie Königshoff
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - John E. McDonough
- Pulmonary, Critical Care and Sleep Medicine, Yale University, School of Medicine, New Haven, CT, United States
| | - Bart M. Vanaudenaerde
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Belgium
| | - Wim A. Wuyts
- Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), Department of Chronic Diseases and Metabolism, KU Leuven, Belgium
| | - Naftali Kaminski
- Pulmonary, Critical Care and Sleep Medicine, Yale University, School of Medicine, New Haven, CT, United States
| | - Jun Ding
- Quantitative Life Sciences, Faculty of Medicine & Health Sciences, McGill University, Montreal, QC, Canada
- Meakins-Christie Laboratories, Translational Research in Respiratory Diseases Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
- Mila - Quebec AI Institute, Montreal, QC, Canada
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5
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Zou M, Hu X, Song W, Gao H, Wu C, Zheng W, Cheng Z. Plasma LTBP2 as a potential biomarker in differential diagnosis of connective tissue disease-associated interstitial lung disease and idiopathic pulmonary fibrosis: a pilot study. Clin Exp Med 2023; 23:4809-4816. [PMID: 37864077 DOI: 10.1007/s10238-023-01214-x] [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: 09/09/2023] [Accepted: 10/02/2023] [Indexed: 10/22/2023]
Abstract
Few biomarkers distinguish connective tissue disease-associated interstitial lung disease (CTD-ILD) from idiopathic pulmonary fibrosis (IPF). Latent transforming growth factor-β binding protein-2 (LTBP2), a secreted extracellular matrix protein, is involved in pulmonary fibrosis. However, the role of LTBP2 in differentially diagnosing CTD-ILD and IPF is unclear. In this study, enzyme-linked immunosorbent assays quantified plasma LTBP2 concentrations in 200 individuals (35 healthy controls, 42 CTD patients without ILD, 89 CTD-ILD patients, and 34 IPF patients). CTD-ILD and IPF were further classified based on chest imaging pattern and pulmonary function test results. Plasma LTBP2 levels were significantly elevated in the IPF group compared with the CTD-ILD group. ROC analysis further suggested the possible value of LTBP2 in differentially diagnosing CTD-ILD and IPF. Additionally, CTD-ILD patients with progressive lung fibrosis had higher plasma LTBP2 concentrations than those who did not. Similarly, patients with IPF developing acute exacerbation showed higher plasma LTBP2 levels than those with stable IPF. This is the first study showing that LTBP2 was closely associated with the usual interstitial pneumonia (UIP) pattern in rheumatoid arthritis-associated ILD (RA-ILD). Moreover, the optimal cutoff values of LTBP2 for distinguishing IPF from CTD-UIP/RA-UIP were 33.75 and 38.33 ng/mL with an AUC of 0.682 and 0.681, respectively. Our findings suggest that plasma LTBP2 levels may differentially diagnose CTD-ILD and IPF, and assess their fibrotic activity. Additionally, clinical LTBP2 evaluation may be a great aid to identifying the presence of the UIP pattern in RA-ILD and to discriminating IPF from CTD-UIP, particularly RA-UIP.
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Affiliation(s)
- Menglin Zou
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Fourth Ward of Medical Care Center, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Xingxing Hu
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Weiwei Song
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Han Gao
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Changrong Wu
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
| | - Weishuai Zheng
- Department of Respiratory and Critical Care Medicine, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, China.
| | - Zhenshun Cheng
- Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China.
- Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China.
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6
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Li D, Wang J, Zeng J, Li S, Sun D, Qiu L, Huang Z, Wang K, Fu G, Gou D, Zhang Y. Identification and Validation of Genes Exhibiting Dynamic Alterations in Response to Bleomycin-Induced Pulmonary Fibrosis. Mol Biotechnol 2023:10.1007/s12033-023-00943-4. [PMID: 37924392 DOI: 10.1007/s12033-023-00943-4] [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: 08/04/2023] [Accepted: 10/09/2023] [Indexed: 11/06/2023]
Abstract
Idiopathic pulmonary fibrosis (IPF) carries a high mortality rate and has a poor prognosis. The pathogenesis of pulmonary fibrosis (PF) is highly related to dysregulation of multiple RNAs. This study aims to identify and validate dysregulated RNAs that exhibited dynamic alterations in response to bleomycin (BLM)-induced PF. The results will provide therapeutic targets for patients suffering from IPF. Whole transcriptomic profiles of BLM-induced PF were obtained through high-throughput RNA sequencing. miRNA profiling was downloaded from GSE45789 database in the Gene Expression Omnibus (GEO). We identified the differentially expressed RNAs (DERNAs) that exhibited dynamic alterations in response to BLM-induced PF. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway enrichment analysis were conducted to discovery regulatory processes of PF. Weighted gene co-expression network analysis (WGCNA), protein-protein interaction (PPI) analysis, and co-expression analysis were performed to identify key genes and pathogenic pattern during the progression of PF. MiRanda, miRcode, and TargetScan were utilized to predict target relationships in the potential competing endogenous RNA (ceRNA) network. The results were verified by qRT-PCR analysis. In the context of BLM-induced PF, this study identified a total of 167 differentially expressed messenger RNAs (DEmRNAs), 115 differentially expressed long non-coding RNAs (DElncRNAs), 45 differentially expressed circular RNAs (DEcircRNAs), and 87 differentially expressed microRNAs (DEmiRNAs). These RNA molecules showed dynamic alterations in response to BLM-induced PF. These DEmRNAs exhibited a predominant association with the biological processes pertaining to the organization of extracellular matrix. A regulatory network was built in PF, encompassing 31 DEmRNAs, 18 DE lncRNAs, 13 DEcircRNAs, and 13 DEmiRNAs. Several DERNA molecules were subjected to validate using additional BLM-induced PF model. The outcomes of this validation process shown a strong correlation with the results obtained from RNA sequencing analysis. The GSE213001 dataset was utilized to validate the expression levels and diagnostic efficacy of four specific hub mRNAs (CCDC80, CLU, COL5A1, and COL6A3) in individuals diagnosed with PF. In this study, we identified and validated several RNA molecules that exhibited dynamic alternations in response to BLM-induced PF. These dysregulated RNAs participated in the pathogenesis of PF and can be used as therapeutic targets for early-stage IPF. Although more work must be done to confirm the results, our study may provide directions for future studies.
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Affiliation(s)
- Dengyuan Li
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, 650500, China
- Department of Pulmonary and Critical Care Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650022, China
| | - Jun Wang
- Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Carson International Cancer Center, School of Medicine, Shenzhen University, Shenzhen, 518060, China
| | - Jie Zeng
- Department of Pulmonary and Critical Care Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650022, China
| | - Shujin Li
- Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Carson International Cancer Center, School of Medicine, Shenzhen University, Shenzhen, 518060, China
| | - Danxiong Sun
- Department of Pulmonary and Critical Care Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650022, China
| | - Lin Qiu
- Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Carson International Cancer Center, School of Medicine, Shenzhen University, Shenzhen, 518060, China
| | - Zhenming Huang
- Department of Pulmonary and Critical Care Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650022, China
| | - Ku Wang
- Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Carson International Cancer Center, School of Medicine, Shenzhen University, Shenzhen, 518060, China
| | - Gaohui Fu
- Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Carson International Cancer Center, School of Medicine, Shenzhen University, Shenzhen, 518060, China
| | - Deming Gou
- Shenzhen Key Laboratory of Microbial Genetic Engineering, Vascular Disease Research Center, College of Life Sciences and Oceanography, Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Carson International Cancer Center, School of Medicine, Shenzhen University, Shenzhen, 518060, China.
| | - Yunhui Zhang
- Department of Pulmonary and Critical Care Medicine, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650022, China.
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7
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Kim Y, Yang HI, Kim KS. Etiology and Pathogenesis of Rheumatoid Arthritis-Interstitial Lung Disease. Int J Mol Sci 2023; 24:14509. [PMID: 37833957 PMCID: PMC10572849 DOI: 10.3390/ijms241914509] [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: 09/03/2023] [Revised: 09/19/2023] [Accepted: 09/23/2023] [Indexed: 10/15/2023] Open
Abstract
Interstitial lung disease (ILD) is one of the most serious extra-articular complications of rheumatoid arthritis (RA), which increases the mortality of RA. Because the pathogenesis of RA-ILD remains poorly understood, appropriate therapeutic strategies and biomarkers have not yet been identified. Thus, the goal of this review was to summarize and analyze the reported data on the etiology and pathogenesis of RA-ILD. The incidence of RA-ILD increases with age, and is also generally higher in men than in women and in patients with specific genetic variations and ethnicity. Lifestyle factors associated with an increased risk of RA-ILD include smoking and exposure to pollutants. The presence of an anti-cyclic citrullinated peptide antibody, high RA disease activity, and rheumatoid factor positivity also increase the risk of RA-ILD. We also explored the roles of biological processes (e.g., fibroblast-myofibroblast transition, epithelial-mesenchymal transition, and immunological processes), signaling pathways (e.g., JAK/STAT and PI3K/Akt), and the histopathology of RA involved in RA-ILD pathogenesis based on published preclinical and clinical models of RA-ILD in animal and human studies.
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Affiliation(s)
- Yerin Kim
- Department of Medicine, Catholic Kwandong University College of Medicine, Gangneung 25601, Republic of Korea;
| | - Hyung-In Yang
- Division of Rheumatology, Department of Internal Medicine, College of Medicine, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea;
| | - Kyoung-Soo Kim
- East-West Bone & Joint Disease Research Institute, Kyung Hee University Hospital at Gangdong, Seoul 05278, Republic of Korea
- Department of Clinical Pharmacology and Therapeutics, Kyung Hee University School of Medicine, Seoul 02447, Republic of Korea
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8
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Xu M, Zhao C, Song H, Wang C, Li H, Qiu X, Jing H, Zhuang W. Inhibitory effects of Schisandrin C on collagen behavior in pulmonary fibrosis. Sci Rep 2023; 13:13475. [PMID: 37596361 PMCID: PMC10439186 DOI: 10.1038/s41598-023-40631-6] [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: 04/07/2023] [Accepted: 08/14/2023] [Indexed: 08/20/2023] Open
Abstract
Pulmonary fibrosis (PF) is a serious progressive fibrotic disease that is characterized by excessive accumulation of extracellular matrix (ECM), thus resulting in stiff lung tissues. Lysyl oxidase (LOX) is an enzyme involved in fibrosis by catalyzing collagen cross-linking. Studies found that the ingredients in schisandra ameliorated bleomycin (BLM)-induced PF, but it is unknown whether the anti-PF of schisandra is related to LOX. In this study, we established models of PF including a mouse model stimulated by BLM and a HFL1 cell model induced by transforming growth factor (TGF)-β1 to evaluate the inhibition effects of Schisandrin C (Sch C) on PF. We observed that Sch C treatment decreased pulmonary indexes compared to control group. Treatment of Sch C showed a significant reduction in the accumulation of ECM as evidenced by decreased expressions of α-SMA, FN, MMP2, MMP9, TIMP1 and collagen proteins such as Col 1A1, and Col 3A1. In addition, the expression of LOX in the lung tissue of mice after Sch C treatment was effectively decreased compared with the MOD group. The inhibition effects in vitro were consistent with those in vivo. Mechanistic studies revealed that Sch C significantly inhibited TGF-β1/Smad2/3 and TNF-α/JNK signaling pathways. In conclusion, our data demonstrated that Sch C significantly ameliorated PF in vivo and vitro, which may play an important role by reducing ECM deposition and inhibiting the production of LOX.
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Affiliation(s)
- Mingchen Xu
- Department of Molecular Biology Test Technique, College of Medical Technology, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, 132013, China
| | - Chenghe Zhao
- Department of Molecular Biology Test Technique, College of Medical Technology, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, 132013, China
| | - Haiming Song
- Department of Molecular Biology Test Technique, College of Medical Technology, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, 132013, China
| | - Chunmei Wang
- Department of Pharmacology, College of Pharmacy, Beihua University, Jilin, China
| | - He Li
- Department of Pharmacology, College of Pharmacy, Beihua University, Jilin, China
| | - Xudong Qiu
- Department of Hand Surgery, Affiliated Hospital, Beihua University, Jilin, China
| | - He Jing
- Department of Hand Surgery, Affiliated Hospital, Beihua University, Jilin, China
| | - Wenyue Zhuang
- Department of Molecular Biology Test Technique, College of Medical Technology, Beihua University, No. 3999 Binjiang East Road, Fengman District, Jilin, 132013, China.
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Pergolizzi JV, LeQuang JA, Varrassi M, Breve F, Magnusson P, Varrassi G. What Do We Need to Know About Rising Rates of Idiopathic Pulmonary Fibrosis? A Narrative Review and Update. Adv Ther 2023; 40:1334-1346. [PMID: 36692679 PMCID: PMC9872080 DOI: 10.1007/s12325-022-02395-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 11/30/2022] [Indexed: 01/25/2023]
Abstract
The most common type of idiopathic interstitial pneumonia is idiopathic pulmonary fibrosis (IPF), an irreversible, progressive disorder that has lately come into question for possible associations with COVID-19. With few geographical exceptions, IPF is a rare disease but its prevalence has been increasing markedly since before the pandemic. Environmental exposures are frequently implicated in IPF although genetic factors play a role as well. In IPF, healthy lung tissue is progressively replaced with an abnormal extracellular matrix that impedes normal alveolar function while, at the same time, natural repair mechanisms become dysregulated. While chronic viral infections are known risk factors for IPF, acute infections are not and the link to COVID-19 has not been established. Macrophagy may be a frontline defense against any number of inflammatory pulmonary diseases, and the inflammatory cascade that may occur in patients with COVID-19 may disrupt the activity of monocytes and macrophages in clearing up fibrosis and remodeling lung tissue. It is unclear if COVID-19 infection is a risk factor for IPF, but the two can occur in the same patient with complicating effects. In light of its increasing prevalence, further study of IPF and its diagnosis and treatment is warranted.
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Affiliation(s)
| | | | - Marco Varrassi
- Department of Radiology, University of L'Aquila, L'Aquila, Italy
| | | | - Peter Magnusson
- Institution of Medical Sciences, Orebro University, Orebro, Sweden
- Institute of Medicine, Karolinska Institutet, Stockholm, Sweden
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Fibrosis: Types, Effects, Markers, Mechanisms for Disease Progression, and Its Relation with Oxidative Stress, Immunity, and Inflammation. Int J Mol Sci 2023; 24:ijms24044004. [PMID: 36835428 PMCID: PMC9963026 DOI: 10.3390/ijms24044004] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/15/2023] [Accepted: 01/19/2023] [Indexed: 02/19/2023] Open
Abstract
Most chronic inflammatory illnesses include fibrosis as a pathogenic characteristic. Extracellular matrix (ECM) components build up in excess to cause fibrosis or scarring. The fibrotic process finally results in organ malfunction and death if it is severely progressive. Fibrosis affects nearly all tissues of the body. The fibrosis process is associated with chronic inflammation, metabolic homeostasis, and transforming growth factor-β1 (TGF-β1) signaling, where the balance between the oxidant and antioxidant systems appears to be a key modulator in managing these processes. Virtually every organ system, including the lungs, heart, kidney, and liver, can be affected by fibrosis, which is characterized as an excessive accumulation of connective tissue components. Organ malfunction is frequently caused by fibrotic tissue remodeling, which is also frequently linked to high morbidity and mortality. Up to 45% of all fatalities in the industrialized world are caused by fibrosis, which can damage any organ. Long believed to be persistently progressing and irreversible, fibrosis has now been revealed to be a very dynamic process by preclinical models and clinical studies in a variety of organ systems. The pathways from tissue damage to inflammation, fibrosis, and/or malfunction are the main topics of this review. Furthermore, the fibrosis of different organs with their effects was discussed. Finally, we highlight many of the principal mechanisms of fibrosis. These pathways could be considered as promising targets for the development of potential therapies for a variety of important human diseases.
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Liu Z, Wang T, Shi X, Wang X, Ren W, Huang B, Wang C. Identification of LTBP2 gene polymorphisms and their association with thoracolumbar vertebrae number, body size, and carcass traits in Dezhou donkeys. Front Genet 2022; 13:969959. [PMID: 36482906 PMCID: PMC9723334 DOI: 10.3389/fgene.2022.969959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 10/31/2022] [Indexed: 01/25/2023] Open
Abstract
The number of thoracolumbar vertebrae in Dezhou donkeys varies from 22 to 24 and is associated with body size and carcass traits. In mammals, the latent transforming growth factor beta binding protein 2 (LTBP2) has been found to have some functions in the development of thoracolumbar vertebrae. The relationship between LTBP2 and TLN (the number of thoracolumbar vertebrae) of Dezhou donkeys is yet to be reported. The purposes of this study are as follows: 1) to quantify the effect of thoracolumbar vertebrae number variation of Dezhou donkeys on body size and carcass trait; 2) to study the distribution of single nucleotide variants (SNVs) in the LTBP2 gene of Dezhou donkeys; and 3) to explore whether these SNVs can be used as candidate sites to study the mechanism of Dezhou donkey muti-thoracolumbar vertebrae development. The TLN, body size, and carcass traits of 392 individuals from a Dezhou donkey breed were recorded. All animals were sequenced for LTBP2 using GBTS liquid chip and 16 SNVs were used for further analysis. We then analyzed the relationship between these SNVs with TLN, body size, and carcass traits. The results showed that: 1) c.5547 + 860 C > T, c.5251 + 281 A > C, c.3769 + 40 C > T, and c.2782 + 3975 A > G were complete genetic linkages and significantly associated with thoracic vertebrae number (TN) (p < 0.05) (wild-type homozygotes had more TN than heterozygotes); 2) c.1381 + 768 T > G and c.1381 + 763 G > T were significantly associated with lumber vertebrae number (LN) (p < 0.05); 3) c.1003 + 704 C > T, c.1003 + 651 C > T, c.1003 + 626 A > G, and c.812 + 22526 T > G were significantly associated with chest circumference (CHC), front carcass weight (CWF), after carcass weight (CWA), and carcass weight (CW) (p < 0.05) (wild-type homozygotes were larger than other genotypes in CHC, CWF, CWA, and CW); and 4) the effect of variation is not consistent in c.565 + 11921 A > G, c.565 + 6840 A > G, c.565 + 3453 C > T, and c.494 + 5808 C > T. These results provide useful information that the polymorphism of LTBP2 is significantly associated with TLN, body size, and carcass traits in Dezhou donkeys, which can serve as a molecule marker to improve donkey production performance.
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Combining Deep Phenotyping of Serum Proteomics and Clinical Data via Machine Learning for COVID-19 Biomarker Discovery. Int J Mol Sci 2022; 23:ijms23169161. [PMID: 36012423 PMCID: PMC9409308 DOI: 10.3390/ijms23169161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/08/2022] [Accepted: 08/11/2022] [Indexed: 01/08/2023] Open
Abstract
The persistence of long-term coronavirus-induced disease 2019 (COVID-19) sequelae demands better insights into its natural history. Therefore, it is crucial to discover the biomarkers of disease outcome to improve clinical practice. In this study, 160 COVID-19 patients were enrolled, of whom 80 had a “non-severe” and 80 had a “severe” outcome. Sera were analyzed by proximity extension assay (PEA) to assess 274 unique proteins associated with inflammation, cardiometabolic, and neurologic diseases. The main clinical and hematochemical data associated with disease outcome were grouped with serological data to form a dataset for the supervised machine learning techniques. We identified nine proteins (i.e., CD200R1, MCP1, MCP3, IL6, LTBP2, MATN3, TRANCE, α2-MRAP, and KIT) that contributed to the correct classification of COVID-19 disease severity when combined with relative neutrophil and lymphocyte counts. By analyzing PEA, clinical and hematochemical data with statistical methods that were able to handle many variables in the presence of a relatively small sample size, we identified nine potential serum biomarkers of a “severe” outcome. Most of these were confirmed by literature data. Importantly, we found three biomarkers associated with central nervous system pathologies and protective factors, which were downregulated in the most severe cases.
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