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Xie X, Chen W, Xu M, Chen J, Yang T, Wang C, Su Y, Zhao J, Xu J, Liu Q. IKK/NF-κB and ROS signal axes are involved in Tenacissoside H mediated inhibitory effects on LPS-induced inflammatory osteolysis. Cell Prolif 2024; 57:e13535. [PMID: 37551727 PMCID: PMC10771108 DOI: 10.1111/cpr.13535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 06/07/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023] Open
Abstract
Periodontal disease and arthroplasty prosthesis loosening and destabilization are both associated with osteolysis, which is predominantly caused by abnormal bone resorption triggered by pro-inflammatory cytokines. Osteoclasts (OCs) are critical players in the process. Concerns regarding the long-term efficacy and side effects of current frontline therapies, however, remain. Alternative therapies are still required. The aim of this work was to investigate the involvement of Tenacissoside H (TDH) in RANKL-mediated OC differentiation, as well as inflammatory osteolysis and associated processes. In vitro, bone marrow-derived macrophages (BMMs) cultured with RANKL and M-CSF were used to detect TDH in the differentiation and function of OCs. Real-time quantitative PCR was used to measure the expression of specific genes and inflammatory factors in OCs. Western blot was used to identify NFATc1, IKK, NF-κB, MAPK pathway, and oxidative stress-related components. Finally, an LPS-mediated calvarial osteolysis mouse model was employed to explore TDH's role in inflammatory osteolysis. The results showed that in vivo TDH inhibited the differentiation and resorption functions of OCs and down-regulated the transcription of osteoclast-specific genes, as well as Il-1β, Il-6 and Tnf-α. In addition, TDH inhibited the IKK and NF-κB signalling pathways and down-regulated the level of ROS. In vivo studies revealed that TDH improves the bone loss caused by LPS. TDH may be a new candidate or treatment for osteoclast-associated inflammatory osteolytic disease.
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Affiliation(s)
- Xiaoxiao Xie
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co‐constructed by the Province and Ministry, Life Sciences Institute, Guangxi Medical UniversityNanningGuangxiChina
| | - Weiwei Chen
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co‐constructed by the Province and Ministry, Life Sciences Institute, Guangxi Medical UniversityNanningGuangxiChina
| | - Minglian Xu
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Junchun Chen
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Tao Yang
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co‐constructed by the Province and Ministry, Life Sciences Institute, Guangxi Medical UniversityNanningGuangxiChina
| | - Chaofeng Wang
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co‐constructed by the Province and Ministry, Life Sciences Institute, Guangxi Medical UniversityNanningGuangxiChina
| | - Yuangang Su
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Jinmin Zhao
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
| | - Jiake Xu
- School of Biomedical SciencesUniversity of Western AustraliaPerthWestern AustraliaAustralia
- Faculty of Pharmaceutical Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesShenzhenChina
| | - Qian Liu
- Guangxi Key Laboratory of Regenerative Medicine, Orthopaedic DepartmentThe First Affiliated Hospital of Guangxi Medical UniversityNanningGuangxiChina
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co‐constructed by the Province and Ministry, Life Sciences Institute, Guangxi Medical UniversityNanningGuangxiChina
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Jia XN, Wang WJ, Yin B, Zhou LJ, Zhen YQ, Zhang L, Zhou XL, Song HN, Tang Y, Gao F. Deep Learning Promotes the Screening of Natural Products with Potential Microtubule Inhibition Activity. ACS OMEGA 2022; 7:28334-28341. [PMID: 35990425 PMCID: PMC9386835 DOI: 10.1021/acsomega.2c02854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 07/27/2022] [Indexed: 06/15/2023]
Abstract
Natural microtubule inhibitors, such as paclitaxel and ixabepilone, are key sources of novel medications, which have a considerable influence on anti-tumor chemotherapy. Natural product chemists have been encouraged to create novel methodologies for screening the new generation of microtubule inhibitors from the enormous natural product library. There have been major advancements in the use of artificial intelligence in medication discovery recently. Deep learning algorithms, in particular, have shown promise in terms of swiftly screening effective leads from huge compound libraries and producing novel compounds with desirable features. We used a deep neural network to search for potent β-microtubule inhibitors in natural goods. Eleutherobin, bruceine D (BD), and phorbol 12-myristate 13-acetate (PMA) are three highly effective natural compounds that have been found as β-microtubule inhibitors. In conclusion, this paper describes the use of deep learning to screen for effective β-microtubule inhibitors. This research also demonstrates the promising possibility of employing deep learning to develop drugs from natural products for a wider range of disorders.
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Affiliation(s)
- Xiao-Nan Jia
- School
of Life Science and Engineering, Southwest
Jiaotong University, Chengdu 610031, PR China
| | - Wei-Jia Wang
- School
of Computer Science and Engineering, University
of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Bo Yin
- School
of Life Science and Engineering, Southwest
Jiaotong University, Chengdu 610031, PR China
| | - Lin-Jing Zhou
- School
of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Yong-Qi Zhen
- School
of Life Science and Engineering, Southwest
Jiaotong University, Chengdu 610031, PR China
| | - Lan Zhang
- School
of Life Science and Engineering, Southwest
Jiaotong University, Chengdu 610031, PR China
| | - Xian-Li Zhou
- School
of Life Science and Engineering, Southwest
Jiaotong University, Chengdu 610031, PR China
| | - Hai-Ning Song
- Department
of Pharmacy, The Third People’s Hospital of Chengdu and College
of Medicine, Southwest Jiaotong University, Chengdu 610031, PR China
| | - Yong Tang
- School
of Computer Science and Engineering, University
of Electronic Science and Technology of China, Chengdu 610054, PR China
| | - Feng Gao
- School
of Life Science and Engineering, Southwest
Jiaotong University, Chengdu 610031, PR China
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Petan T, Manček-Keber M. Half is enough: Oxidized lysophospholipids as novel bioactive molecules. Free Radic Biol Med 2022; 188:351-362. [PMID: 35779690 DOI: 10.1016/j.freeradbiomed.2022.06.228] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/01/2022] [Accepted: 06/13/2022] [Indexed: 10/17/2022]
Abstract
Studies in the last decade have established the roles of oxidized phospholipids as modulators of various cellular processes, from inflammation and immunity to cell death. Oxidized lysophospholipids, formed through the activity of phospholipases and oxidative enzymes and lacking an acyl chain in comparison with parent phospholipids, are now emerging as novel bioactive lipid mediators. Their detection and structural characterization have been limited in the past due to low amounts and the complexity of their biosynthetic and removal pathways, but recent studies have unequivocally demonstrated their formation under inflammatory conditions. The involvement of oxidized lysophospholipids in immune regulation classifies them as damage-associated molecular patterns (DAMPs), which can promote sterile inflammation and contribute to autoimmune and chronic diseases as well as aging-related diseases. Their signaling pathways are just beginning to be revealed. As the first publications indicate that oxidized lysophospholipids use the same receptors as pathogen-associated molecular patterns (PAMPs), it is likely that the inhibition of signaling pathways activated by oxidized lysophospholipids would affect innate immunity per se. On the other hand, inhibition or modulation of their enzymatic formation, which would not interfere with the response to pathogens, might be beneficial and is potentially a promising new field of research.
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Affiliation(s)
- Toni Petan
- Department of Molecular and Biomedical Sciences, Jožef Stefan Institute, 1000, Ljubljana, Slovenia.
| | - Mateja Manček-Keber
- Department of Synthetic Biology and Immunology, National Institute of Chemistry, 1000, Ljubljana, Slovenia.
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Yan JK, Zhu J, Liu Y, Chen X, Wang W, Zhang H, Li L. Recent advances in research on Allium plants: functional ingredients, physiological activities, and applications in agricultural and food sciences. Crit Rev Food Sci Nutr 2022; 63:8107-8135. [PMID: 35343832 DOI: 10.1080/10408398.2022.2056132] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Fruits and vegetables (FVs) have long been a major source of nutrients and dietary phytochemicals with outstanding physiological properties that are essential for protecting humans from chronic diseases. Moreover, the growing demand of consumers for nutritious and healthy foods is greatly promoting the increased intake of FVs. Allium (Alliaceae) is a perennial bulb plant genus of the Liliaceae family. They are customarily utilized as vegetable, medicinal, and ornamental plants and have an important role in agriculture, aquaculture, and the pharmaceutical industry. Allium plants produce abundant secondary metabolites, such as organosulfur compounds, flavonoids, phenols, saponins, alkaloids, and polysaccharides. Accordingly, Allium plants possess a variety of nutritional, biological, and health-promoting properties, including antimicrobial, antioxidant, antitumor, immunoregulatory, antidiabetic, and anti-inflammatory effects. This review aims to highlight the advances in the research on the bioactive components, physiological activities and clinical trials, toxicological assessment for safety, and applications of different Allium plants. It also aims to cover the direction of future research on the Allium genus. This review is expected to provide theoretical reference for the comprehensive development and utilization of Allium plants in the fields of functional foods, medicine, and cosmetics.
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Affiliation(s)
- Jing-Kun Yan
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan, China
| | - Jie Zhu
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan, China
| | - Yujia Liu
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan, China
| | - Xu Chen
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan, China
| | - Wenhan Wang
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai, China
| | - Henan Zhang
- Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences, National Engineering Research Center of Edible Fungi, Key Laboratory of Edible Fungi Resources and Utilization (South), Ministry of Agriculture, Shanghai, China
| | - Lin Li
- Key Laboratory of Healthy Food Development and Nutrition Regulation of China National Light Industry, School of Chemical Engineering and Energy Technology, Dongguan University of Technology, Dongguan, China
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