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Xiang Z, Xu Y, Dong W, Zhao Y, Chen X. Effects of sliver nanoparticles on nitrogen removal by the heterotrophic nitrification-aerobic denitrification bacteria Zobellella sp. B307 and their toxicity mechanisms. MARINE POLLUTION BULLETIN 2024; 203:116381. [PMID: 38692001 DOI: 10.1016/j.marpolbul.2024.116381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/12/2024] [Accepted: 04/13/2024] [Indexed: 05/03/2024]
Abstract
Due to the widespread use of sliver nanoparticles (AgNPs), a large amount of AgNPs has inevitably been released into the environment, and there is growing concern about the toxicity of AgNPs to nitrogen-functional bacteria. In addition to traditional anaerobic denitrifying bacteria, heterotrophic nitrification-aerobic denitrification (HNAD) bacteria are also important participants in the nitrogen cycle. However, the mechanisms by which AgNPs influence HNAD bacteria have yet to be explicitly demonstrated. In this study, the inhibitory effects of different concentrations of AgNPs on a HNAD bacteria Zobellella sp. B307 were investigated, and the underlying mechanism was explored by analyzing the antioxidant system and the activities of key denitrifying enzymes. Results showed that AgNPs could inhibit the growth and the HNAD ability of Zobellella sp. B307. AgNPs could accumulate on the surface of bacterial cells and significantly destroyed the cell membrane integrity. Further studies demonstrated that the presence of high concentration of AgNPs could result in the overproduction of reactive oxygen species (ROS) and related oxidative stress in the cells. Furthermore, the catalytic activities of key denitrifying enzymes (nitrate reductase (NAR), nitrite reductase (NIR), and nitrous oxide reductase (N2OR)) were significantly suppressed under exposure to a high concentration of AgNPs (20 mg·L-1), which might be responsible for the inhibited nitrogen removal performance of strain B307. This work could improve our understanding of the inhibitory effect and underlying mechanism of AgNPs on HNAD bacteria.
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Affiliation(s)
- Zhuangzhuang Xiang
- College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
| | - Yibo Xu
- College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
| | - Wenlong Dong
- Shandong Marine Forecast and Hazard Mitigation Service, Qingdao 266100, China
| | - Yangguo Zhao
- College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China; Key Laboratory of Marine Environment and Ecology (Ocean University of China), Ministry of Education, Qingdao 266100, China
| | - Xi Chen
- College of Marine Life Science, Ocean University of China, Qingdao 266003, China.
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2
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Wang X, Li F, Teng Y, Ji C, Wu H. Characterization of oxidative damage induced by nanoparticles via mechanism-driven machine learning approaches. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 871:162103. [PMID: 36764549 DOI: 10.1016/j.scitotenv.2023.162103] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/19/2023] [Accepted: 02/04/2023] [Indexed: 06/18/2023]
Abstract
The wide application of TiO2-based engineered nanoparticles (nTiO2) inevitably led to release into aquatic ecosystems. Importantly, increasing studies have emphasized the high risks of nTiO2 to coastal environments. Bivalves, the representative benthic filter feeders in coastal zones, acted as important roles to assess and monitor the toxic effects of nanoparticles. Oxidative damage was one of the main toxic mechanisms of nTiO2 on bivalves, but the experimental variables/nanomaterial characteristics were diverse and the toxicity mechanism was complex. Therefore, it was very necessary to develop machine learning model to characterize and predict the potential toxicity. In this study, thirty-six machine learning models were built by nanodescriptors combined with six machine learning algorithms. Among them, random forest (RF) - catalase (CAT), k-neighbors classifier (KNN) - glutathione peroxidase (GPx), neural networks - multilayer perceptron (ANN) - glutathione s-transferase (GST), random forest (RF) - malondialdehyde (MDA), random forest (RF) - reactive oxygen species (ROS), and extreme gradient boosting decision tree (XGB) - superoxide dismutase (SOD) models performed good with high accuracy and balanced accuracy for both training sets and external validation sets. Furthermore, the best model revealed the predominant factors (exposure concentration, exposure periods, and exposure matrix) influencing the oxidative stress induced by nTiO2. These results showed that high exposure concentrations and short exposure-intervals tended to cause oxidative damage to bivalves. In addition, gills and digestive glands could be vulnerable to nTiO2-induced oxidative damage as tissues/organs differences were the important factors controlling MDA activity. This study provided insights into important nano-features responsible for the different indicators of oxidative stress and thereby extended the application of machine learning approaches in toxicological assessment for nanoparticles.
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Affiliation(s)
- Xiaoqing Wang
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Fei Li
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, PR China.
| | - Yuefa Teng
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China
| | - Chenglong Ji
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, PR China
| | - Huifeng Wu
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research (YIC), Chinese Academy of Sciences (CAS), Shandong Key Laboratory of Coastal Environmental Processes, YICCAS, Yantai 264003, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, PR China
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3
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Yao J, Wang Z, Cheng Y, Ma C, Zhong Y, Xiao Y, Gao X, Li Z. M2 macrophage-derived exosomal microRNAs inhibit cell migration and invasion in gliomas through PI3K/AKT/mTOR signaling pathway. J Transl Med 2021; 19:99. [PMID: 33676540 PMCID: PMC7937290 DOI: 10.1186/s12967-021-02766-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 02/22/2021] [Indexed: 12/14/2022] Open
Abstract
Background Glioma, the most common primary brain tumor, account Preparing figures for 30 to 40% of all intracranial tumors. Herein, we aimed to study the effects of M2 macrophage-derived exosomal microRNAs (miRNAs) on glioma cells. Methods First, we identified seven differentially expressed miRNAs in infiltrating macrophages and detected the expression of these seven miRNAs in M2 macrophages. We then selected hsa-miR-15a-5p (miR-15a) and hsa-miR-92a-3p (miR-92a) for follow-up studies, and confirmed that miR-15a and miR-92a were under-expressed in M2 macrophage exosomes. Subsequently, we demonstrated that M2 macrophage-derived exosomes promoted migration and invasion of glioma cells, while exosomal miR-15a and miR-92a had the opposite effects on glioma cells. Next, we performed the target gene prediction in four databases and conducted target gene validation by qRT-PCR, western blot and dual luciferase reporter gene assays. Results The results revealed that miR-15a and miR-92a were bound to CCND1 and RAP1B, respectively. Western blot assays demonstrated that interference with the expression of CCND1 or RAP1B reduced the phosphorylation level of AKT and mTOR, indicating that both CCND1 and RAP1B can activate the PI3K/AKT/mTOR signaling pathway. Conclusion Collectively, these findings indicate that M2 macrophage-derived exosomal miR-15a and miR-92a inhibit cell migration and invasion of glioma cells through PI3K/AKT/mTOR signaling pathway. Supplementary information The online version contains supplementary material available at 10.1186/s12967-021-02766-w.
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Affiliation(s)
- Jie Yao
- Human Genetic Resources Conservation Center of Hubei Province, Wuhan, 430071, China.,Tumor Precision Diagnosis and Treatment Technology and Translation Medicine, Hubei Engineering Research Center, Wuhan, 430071, China
| | - Zefen Wang
- Department of Physiology, Wuhan University School of Basic Medical Sciences, Wuhan, 430071, China
| | - Yong Cheng
- Department of Neurology, Hankou Hospital, General Hospital of Central Theater Command of Chinese People's Liberation Army, Wuhan, 430014, China
| | - Chao Ma
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, No 169 Donghu Road, Wuhan, 430071, Hubei, China
| | - Yahua Zhong
- Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yilei Xiao
- Department of Neurosurgery, Liaocheng People's Hospital, Liaocheng, 252000, China
| | - Xu Gao
- Department of Neurosurgery, General Hospital of Northern Theater Command of People's Liberation Army, Shenyang, 110000, China
| | - Zhiqiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, No 169 Donghu Road, Wuhan, 430071, Hubei, China.
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4
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Zurbau A, Smircic Duvnjak L, Magas S, Jovanovski E, Miocic J, Jenkins AL, Jenkins DJA, Josse RG, Leiter LA, Sievenpiper JL, Vuksan V. Co-administration of viscous fiber, Salba-chia and ginseng on glycemic management in type 2 diabetes: a double-blind randomized controlled trial. Eur J Nutr 2021; 60:3071-3083. [PMID: 33486572 DOI: 10.1007/s00394-020-02434-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 10/29/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE Viscous dietary fiber, functional seeds and ginseng roots have individually been proposed for the management of diabetes. We explored whether their co-administration would improve glycemic control in type 2 diabetes beyond conventional therapy. METHODS In a randomized, double-blind, controlled trial conducted at two academic centers (Toronto, Canada and Zagreb, Croatia), individuals with type 2 diabetes were assigned to either an active intervention (10 g viscous fiber, 60 g white chia seeds, 1.5 g American and 0.75 g Korean red ginseng extracts), or energy and fiber-matched control (53 g oat bran, 25 g inulin, 25 g maltodextrose and 2.25 g wheat bran) intervention for 24 weeks, while on conventional standard of care. The prespecified primary endpoint was end difference at week 24 in HbA1c, following an intent-to-treat analysis adjusted for center and baseline. RESULTS Between January 2016 and April 2018, 104 participants (60M:44F; mean ± SEM age 59 ± 0.8 years; BMI 29.0 ± 0.4 kg/m2; HbA1c 7.0 ± 0.6%) managed with antihyperglycemic agent(s) (n = 98) or lifestyle (n = 6), were randomized (n = 52 test; n = 52 control). At week 24, HbA1c levels were 0.27 ± 0.1% lower on test compared to control (p = 0.03). There was a tendency towards an interaction by baseline HbA1c (p = 0.07), in which a greater reduction was seen in participants with baseline HbA1c > 7% vs ≤ 7% (- 0.56 ± 0.2% vs 0.03 ± 0.2%). Diet and body weight remained unchanged. The interventions were well tolerated with no related adverse events and with high retention rate of 84%. CONCLUSIONS Co-administration of selected dietary and herbal therapies was well-tolerated and may provide greater glycemic control as add-on therapy in type 2 diabetes. Registration: Clinicaltrials.gov NCT02553382 (registered on September 17, 2015).
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Affiliation(s)
- Andreea Zurbau
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada
| | - Lea Smircic Duvnjak
- Vuk Vrhovac Clinic for Diabetes, Endocrinology and Metabolic Diseases, University Hospital Merkur, Zagreb, Croatia.,School of Medicine, University of Zagreb, Zagreb, Croatia
| | - Sasa Magas
- Vuk Vrhovac Clinic for Diabetes, Endocrinology and Metabolic Diseases, University Hospital Merkur, Zagreb, Croatia
| | - Elena Jovanovski
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada
| | - Jelena Miocic
- Vuk Vrhovac Clinic for Diabetes, Endocrinology and Metabolic Diseases, University Hospital Merkur, Zagreb, Croatia
| | - Alexandra L Jenkins
- Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada
| | - David J A Jenkins
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON, Canada.,Departments of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Robert G Josse
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON, Canada.,Departments of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Lawrence A Leiter
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON, Canada.,Departments of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - John L Sievenpiper
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada.,Toronto 3D Knowledge Synthesis and Clinical Trials Unit, Toronto, ON, Canada.,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON, Canada.,Departments of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Vladimir Vuksan
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada. .,Clinical Nutrition and Risk Factor Modification Center, St. Michael's Hospital, Toronto, ON, Canada. .,Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada. .,Division of Endocrinology and Metabolism, St. Michael's Hospital, Toronto, ON, Canada. .,Departments of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
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5
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Bai L, Lin Y, Xie J, Zhang Y, Wang H, Zheng D. MiR-27b-3p inhibits the progression of renal fibrosis via suppressing STAT1. Hum Cell 2021; 34:383-393. [PMID: 33454903 PMCID: PMC7900087 DOI: 10.1007/s13577-020-00474-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 12/14/2020] [Indexed: 01/02/2023]
Abstract
Renal fibrosis is a pathologic change in chronic kidney disease (CKD). MicroRNAs (miRNAs) have been shown to play an important role in the development of renal fibrosis. However, the biological role of miR-27b-3p in renal fibrosis remains unclear. Thus, this study aimed to investigate the role of miR-27b-3p in the progression of renal fibrosis. In this study, HK-2 cells were stimulated with transforming growth factor (TGF)-β1 for mimicking fibrosis progression in vitro. The unilateral ureteric obstruction (UUO)-induced mice renal fibrosis in vivo was established as well. The results indicated that the overexpression of miR-27b-3p significantly inhibited epithelial-to-mesenchymal transition (EMT) in TGF-β1-stimulated HK-2 cells, as shown by the decreased expressions of α-SMA, collagen III, Fibronectin and Vimentin. In addition, overexpression of miR-27b-3p markedly decreased TGF-β1-induced apoptosis in HK-2 cells, as evidenced by the decreased levels of Fas, active caspase 8 and active caspase 3. Meanwhile, dual-luciferase assay showed that miR-27b-3p downregulated signal transducers and activators of transcription 1 (STAT1) expression through direct binding with the 3′-UTR of STAT1. Furthermore, overexpression of miR-27b-3p attenuated UUO-induced renal fibrosis via downregulation of STAT1, α-SMA and collagen III. In conclusion, miR-27b-3p overexpression could alleviate renal fibrosis via suppressing STAT1 in vivo and in vitro. Therefore, miR-27b-3p might be a promising therapeutic target for the treatment of renal fibrosis.
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Affiliation(s)
- Lin Bai
- Department of Nephrology, Affiliated Huai'an Hospital of Xuzhou Medical University, 62# Huaihai South Road, Huai'an, 223001, Jiangsu, People's Republic of China
| | - Yongtao Lin
- Department of Nephrology, Affiliated Huai'an Hospital of Xuzhou Medical University, 62# Huaihai South Road, Huai'an, 223001, Jiangsu, People's Republic of China
| | - Juan Xie
- Department of Nephrology, Affiliated Huai'an Hospital of Xuzhou Medical University, 62# Huaihai South Road, Huai'an, 223001, Jiangsu, People's Republic of China
| | - Yiyuan Zhang
- Xuzhou Medical University, Xuzhou, 221004, Jiangsu, People's Republic of China
| | - Hongwu Wang
- Department of Nephrology, Affiliated Huai'an Hospital of Xuzhou Medical University, 62# Huaihai South Road, Huai'an, 223001, Jiangsu, People's Republic of China.
| | - Donghui Zheng
- Department of Nephrology, Affiliated Huai'an Hospital of Xuzhou Medical University, 62# Huaihai South Road, Huai'an, 223001, Jiangsu, People's Republic of China.
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6
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Haas Bueno R, Recamonde-Mendoza M. Meta-analysis of Transcriptomic Data Reveals Pathophysiological Modules Involved with Atrial Fibrillation. Mol Diagn Ther 2020; 24:737-751. [PMID: 33095430 DOI: 10.1007/s40291-020-00497-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/30/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) is a complex disease and affects millions of people around the world. The biological mechanisms that are involved with AF are complex and still need to be fully elucidated. Therefore, we performed a meta-analysis of transcriptome data related to AF to explore these mechanisms aiming at more sensitive and reliable results. METHODS Ten public transcriptomic datasets were downloaded, analyzed for quality control, and individually pre-processed. Differential expression analysis was carried out for each dataset, and the results were meta-analytically aggregated using the rth ordered p value method. We analyzed the final list of differentially expressed genes through network analysis, namely topological and modularity analysis, and functional enrichment analysis. RESULTS The meta-analysis of transcriptomes resulted in 1197 differentially expressed genes, whose protein-protein interaction network presented 39 hubs-bottlenecks and four main identified functional modules. These modules were enriched for 39, 20, 64, and 10 biological pathways involved with the pathophysiology of AF, especially with the disease's structural and electrical remodeling processes. The stress of the endoplasmic reticulum, protein catabolism, oxidative stress, and inflammation are some of the enriched processes. Among hub-bottlenecks genes, which are highly connected and probably have a key role in regulating these processes, HSPA5, ANK2, CTNNB1, and MAPK1 were identified. CONCLUSION Our approach based on transcriptome meta-analysis revealed a set of key genes that demonstrated consistent overall changes in expression patterns associated with AF despite data heterogeneity related, among others, to type of tissue. Further experimental investigation of our findings may shed light on the pathophysiology of the disease and contribute to the identification of new therapeutic targets.
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Affiliation(s)
- Rodrigo Haas Bueno
- Experimental and Molecular Cardiovascular Laboratory, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
- Bioinformatics Core, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil
| | - Mariana Recamonde-Mendoza
- Experimental and Molecular Cardiovascular Laboratory, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.
- Bioinformatics Core, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil.
- Institute of Informatics, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.
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Jin Y, Ding L, Ding Z, Fu Y, Song Y, Jing Y, Li Q, Zhang J, Ni Y, Hu Q. Tensile force-induced PDGF-BB/PDGFRβ signals in periodontal ligament fibroblasts activate JAK2/STAT3 for orthodontic tooth movement. Sci Rep 2020; 10:11269. [PMID: 32647179 PMCID: PMC7347599 DOI: 10.1038/s41598-020-68068-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 06/15/2020] [Indexed: 12/14/2022] Open
Abstract
Orthodontic force-induced osteogenic differentiation and bone formation at tension side play a pivotal role in orthodontic tooth movement (OTM). Platelet-derived growth factor-BB (PDGF-BB) is a clinically proven growth factor during bone regeneration process with unclear mechanisms. Fibroblasts in periodontal ligament (PDL) are considered to be mechanosensitive under orthodontic force. Thus, we established OTM model to investigate the correlation between PDGF-BB and fibroblasts during bone regeneration at tension side. We confirmed that tensile force stimulated PDL cells to induce osteogenic differentiation via Runx-2, OCN up-regulation, and to accelerate new bone deposition along the periodontium and the alveolar bone interface. Interestingly, PDGF-BB level was remarkably enhanced at tension side during OTM in parallel with up-regulated PDGFRβ+/α-SMA+ fibroblasts in PDL by immunohistochemistry. Moreover, orthodontic force-treated primary fibroblasts from PDL were isolated and, cultured in vitro, which showed similar morphology and phenotype with control fibroblasts without OTM treatment. PDGFRβ expression was confirmed to be increased in orthodontic force-treated fibroblasts by immunofluorescence and flow cytometry. Bioinformatics analysis identified that PDGF-BB/PDGFRβ signals were relevant to the activation of JAK/STAT3 signals. The protein expression of JAK2 and STAT3 was elevated in PDL of tension side. Importantly, in vivo, the treatment of the inhibitors (imatinib and AG490) for PDGFRβ and JAK-STAT signals were capable of attenuating the tooth movement. The osteogenic differentiation and bone regeneration in tension side were down-regulated upon the treatment of inhibitors during OTM. Meanwhile, the expressions of PDGFRβ, JAK2 and STAT3 were inhibited by imatinib and AG490. Thus, we concluded that tensile force-induced PDGF-BB activated JAK2/STAT3 signals in PDGFRβ+ fibroblasts in bone formation during OTM.
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Affiliation(s)
- Yuqin Jin
- Department of Orthodontics, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Liang Ding
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China
| | - Zhuang Ding
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China
| | - Yong Fu
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China
| | - Yuxian Song
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China
| | - Yue Jing
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China
| | - Qiang Li
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China
| | - Jianyun Zhang
- Department of Orthodontics, Nanjing Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yanhong Ni
- Central Laboratory of Stomatology, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China.
| | - Qingang Hu
- Department of Oral and Maxillofacial Surgery, Maxillofacial Surgery, Nanjing Stomatological Hospital, Medical School of Nanjing University, No. 30 Zhongyang Road, Nanjing, 210008, China.
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