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He Y, Zhang L, Huang S, Tang Y, Li Y, Li H, Chen G, Chen X, Zhang X, Zhao W, Deng F, Yu D. Magnetic Graphene Oxide Nanocomposites Boosts Craniomaxillofacial Bone Regeneration by Modulating circAars/miR-128-3p/SMAD5 Signaling Axis. Int J Nanomedicine 2024; 19:3143-3166. [PMID: 38585472 PMCID: PMC10999216 DOI: 10.2147/ijn.s454718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/20/2024] [Indexed: 04/09/2024] Open
Abstract
Background The ability of nanomaterials to induce osteogenic differentiation is limited, which seriously imped the repair of craniomaxillofacial bone defect. Magnetic graphene oxide (MGO) nanocomposites with the excellent physicochemical properties have great potential in bone tissue engineering. In this study, we aim to explore the craniomaxillofacial bone defect repairment effect of MGO nanocomposites and its underlying mechanism. Methods The biocompatibility of MGO nanocomposites was verified by CCK8, live/dead staining and cytoskeleton staining. The function of MGO nanocomposites induced osteogenic differentiation of BMSCs was investigated by ALP activity detection, mineralized nodules staining, detection of osteogenic genes and proteins, and immune-histochemical staining. BMSCs with or without MGO osteogenic differentiation induction were collected and subjected to high-throughput circular ribonucleic acids (circRNAs) sequencing, and then crucial circRNA circAars was screened and identified. Bioinformatics analysis, Dual-luciferase reporter assay, RNA binding protein immunoprecipitation (RIP), fluorescence in situ hybridization (FISH) and osteogenic-related examinations were used to further explore the ability of circAars to participate in MGO nanocomposites regulation of osteogenic differentiation of BMSCs and its potential mechanism. Furthermore, critical-sized calvarial defects were constructed and were performed to verify the osteogenic differentiation induction effects and its potential mechanism induced by MGO nanocomposites. Results We verify the good biocompatibility and osteogenic differentiation improvement effects of BMSCs mediated by MGO nanocomposites. Furthermore, a new circRNA-circAars, we find and identify, is obviously upregulated in BMSCs mediated by MGO nanocomposites. Silencing circAars could significantly decrease the osteogenic ability of MGO nanocomposites. The underlying mechanism involved circAars sponging miR-128-3p to regulate the expression of SMAD5, which played an important role in the repair craniomaxillofacial bone defects mediated by MGO nanocomposites. Conclusion We found that MGO nanocomposites regulated osteogenic differentiation of BMSCs via the circAars/miR-128-3p/SMAD5 pathway, which provided a feasible and effective strategy for the treatment of craniomaxillofacial bone defects.
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Affiliation(s)
- Yi He
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Lejia Zhang
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Siyuan Huang
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Yuquan Tang
- Zhujiang Hospital, Southern Medical University, Guangzhou, 510080, People’s Republic of China
| | - Yiming Li
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Hongyu Li
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Guanhui Chen
- Department of Stomatology, the Seventh Affiliated Hospital, Sun Yat-sen University, ShenZhen, 518107, People’s Republic of China
| | - Xun Chen
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Xiliu Zhang
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Wei Zhao
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Feilong Deng
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
| | - Dongsheng Yu
- Hospital of Stomatology, Guanghua School of Stomatology, Institute of Stomatological Research, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
- Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, GuangZhou, 510080, People’s Republic of China
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Hussen BM, Saleem SJ, Abdullah SR, Mohamadtahr S, Hidayat HJ, Rasul MF, Taheri M, Kiani A. Current landscape of miRNAs and TGF-β signaling in lung cancer progression and therapeutic targets. Mol Cell Probes 2023; 72:101929. [PMID: 37683829 DOI: 10.1016/j.mcp.2023.101929] [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: 08/11/2023] [Revised: 08/27/2023] [Accepted: 09/04/2023] [Indexed: 09/10/2023]
Abstract
Lung cancer (LC) is the primary reason for cancer-associated fatalities globally. Due to both tumor-suppressing and tumor-promoting activities, the TGF-β family of growth factors is extremely essential to tumorigenesis. A non-coding single-stranded short RNA called microRNA (miRNA), which is made up of about 22 nt and is encoded by endogenous genes, can control normal and pathological pathways in various kinds of cancer, including LC. Recent research demonstrated that the TGF-β signaling directly can affect the synthesis of miRNAs through suppressor of mothers against decapentaplegic (SMAD)-dependent activity or other unidentified pathways, which could generate allostatic feedback as a result of TGF-β signaling stimulation and ultimately affect the destiny of cancer tissues. In this review, we emphasize the critical functions of miRNAs in lung cancer progression and, more critically, how they affect the TGF-β signaling pathway, and explore the role of both the TGF-β signaling pathway and miRNAs as potential therapeutic targets for improving the treatments of LC patients.
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Affiliation(s)
- Bashdar Mahmud Hussen
- Department of Clinical Analysis, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq; Department of Biomedical Sciences, Cihan University-Erbil, Erbil, Kurdistan Region, 44001, Iraq
| | - Safeen Jasim Saleem
- Department of Clinical Analysis, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq
| | - Snur Rasool Abdullah
- Medical Laboratory Science, Lebanese French University, Kurdistan Region, Erbil, Iraq
| | - Sayran Mohamadtahr
- Department of Clinical Analysis, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq
| | - Hazha Jamal Hidayat
- Department of Biology, College of Education, Salahaddin University-Erbil, Kurdistan Region, Iraq
| | - Mohammed Fatih Rasul
- Department of Pharmaceutical Basic Science, Faculty of Pharmacy, Tishk International University, Erbil, Kurdistan Region, Iraq
| | - Mohammad Taheri
- Institute of Human Genetics, Jena University Hospital, Jena, Germany; Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Arda Kiani
- Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Lung Research and Developmental Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Lu Q, Tang Y, Luo S, Gong Q, Li C. Coptisine, the Characteristic Constituent from Coptis chinensis, Exhibits Significant Therapeutic Potential in Treating Cancers, Metabolic and Inflammatory Diseases. THE AMERICAN JOURNAL OF CHINESE MEDICINE 2023; 51:2121-2156. [PMID: 37930333 DOI: 10.1142/s0192415x2350091x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Naturally derived alkaloids belong to a class of quite significant organic compounds. Coptisine, a benzyl tetrahydroisoquinoline alkaloid, is one of the major bioactive constituents in Coptis chinensis Franch., which is a famous traditional Chinese medicine. C. chinensis possesses many kinds of functions, including the ability to eliminate heat, expel dampness, purge fire, and remove noxious substances. In Asian countries, C. chinensis is traditionally employed to treat carbuncle and furuncle, diabetes, jaundice, stomach and intestinal disorders, red eyes, toothache, and skin disorders. Up to now, there has been plenty of research of coptisine with respect to its pharmacology. Nevertheless, a comprehensive review of coptisine-associated research is urgently needed. This paper was designed to summarize in detail the progress in the research of the pharmacology, pharmacokinetics, safety, and formulation of coptisine. The related studies included in this paper were retrieved from the following academic databases: The Web of Science, PubMed, Google scholar, Elsevier, and CNKI. The cutoff date was January 2023. Coptisine manifests various pharmacological actions, including anticancer, antimetabolic disease, anti-inflammatory disease, and antigastrointestinal disease effects, among others. Based on its pharmacokinetics, the primary metabolic site of coptisine is the liver. Coptisine is poorly absorbed in the gastrointestinal system, and most of it is expelled in the form of its prototype through feces. Regarding safety, coptisine displayed potential hepatotoxicity. Some novel formulations, including the [Formula: see text]-cyclodextrin-based inclusion complex and nanocarriers, could effectively enhance the bioavailability of coptisine. The traditional use of C. chinensis is closely connected with the pharmacological actions of coptisine. Although there are some disadvantages, including poor solubility, low bioavailability, and possible hepatotoxicity, coptisine is still a prospective naturally derived drug candidate, especially in the treatment of tumors as well as metabolic and inflammatory diseases. Further investigation of coptisine is necessary to facilitate the application of coptisine-based drugs in clinical practice.
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Affiliation(s)
- Qiang Lu
- Department of Pharmaceutical Sciences, Zhuhai Campus, Zhuhai 519041, P. R. China
| | - Ying Tang
- Department of Pharmacology, Zunyi Medical University, Zhuhai Campus, Zhuhai 519041, P. R. China
| | - Shuang Luo
- Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen 518005, P. R. China
| | - Qihai Gong
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, P. R. China
- Key Laboratory of Basic Pharmacology of Guizhou Province and School of Pharmacy, Zunyi Medical University, Zunyi 563000, P. R. China
| | - Cailan Li
- Department of Pharmacology, Zunyi Medical University, Zhuhai Campus, Zhuhai 519041, P. R. China
- Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education, P. R. China
- Key Laboratory of Basic Pharmacology of Guizhou Province and School of Pharmacy, Zunyi Medical University, Zunyi 563000, P. R. China
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Fan C, Ding M. Inferring pseudogene-MiRNA associations based on an ensemble learning framework with similarity kernel fusion. Sci Rep 2023; 13:8833. [PMID: 37258695 DOI: 10.1038/s41598-023-36054-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 05/28/2023] [Indexed: 06/02/2023] Open
Abstract
Accumulating evidence shows that pseudogenes can function as microRNAs (miRNAs) sponges and regulate gene expression. Mining potential interactions between pseudogenes and miRNAs will facilitate the clinical diagnosis and treatment of complex diseases. However, identifying their interactions through biological experiments is time-consuming and labor intensive. In this study, an ensemble learning framework with similarity kernel fusion is proposed to predict pseudogene-miRNA associations, named ELPMA. First, four pseudogene similarity profiles and five miRNA similarity profiles are measured based on the biological and topology properties. Subsequently, similarity kernel fusion method is used to integrate the similarity profiles. Then, the feature representation for pseudogenes and miRNAs is obtained by combining the pseudogene-pseudogene similarities, miRNA-miRNA similarities. Lastly, individual learners are performed on each training subset, and the soft voting is used to yield final decision based on the prediction results of individual learners. The k-fold cross validation is implemented to evaluate the prediction performance of ELPMA method. Besides, case studies are conducted on three investigated pseudogenes to validate the predict performance of ELPMA method for predicting pseudogene-miRNA interactions. Therefore, all experiment results show that ELPMA model is a feasible and effective tool to predict interactions between pseudogenes and miRNAs.
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Affiliation(s)
- Chunyan Fan
- School of Computer Science and Engineering, Xi'an Technological University, Xi'an, 710021, China.
| | - Mingchao Ding
- School of Computer Science, Hubei University of Technology, Wuhan, 430068, China
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