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Lin H, Deng H, Jiang Z, Hua P, Hu S, Ao H, Zhong M, Liu M, Guo G. Microarray analysis of tRNA-derived small RNA (tsRNA) in LPS-challenged macrophages treated with metformin. Gene 2024; 913:148399. [PMID: 38518902 DOI: 10.1016/j.gene.2024.148399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 03/08/2024] [Accepted: 03/19/2024] [Indexed: 03/24/2024]
Abstract
Metformin, a widely used anti-diabetic drug, has demonstrated its efficacy in addressing various inflammatory conditions. tRNA-derived small RNA (tsRNA), a novel type of small non-coding RNA, exhibits diverse regulatory functions and holds promise as both a diagnostic biomarker and a therapeutic target for various diseases. The purpose of this study is to investigate whether the abundance of tsRNAs changed in LPS versus LPS + metformin-treated cells, utilizing microarray technology. Firstly, we established an in vitro lipopolysaccharide (LPS)-induced inflammation model using RAW264.7 macrophages and assessed the protective effects of metformin against inflammatory damage. Subsequently, we extracted total RNA from both LPS-treated and metformin + LPS-treated cell samples for microarray analysis to identify differentially abundant tsRNAs (DA-tsRNAs). Furthermore, we conducted bioinformatics analysis to predict target genes for validated DA-tsRNAs and explore the biological functions and signaling pathways associated with DA-tsRNAs. Notably, metformin was found to inhibit the inflammatory response in RAW264.7 macrophages. The microarray results revealed a total of 247 DA-tsRNAs, with 58 upregulated and 189 downregulated tsRNAs in the Met + LPS group compared to the LPS group. The tsRNA-mRNA network was visualized, shedding light on potential interactions. The results of bioinformatics analysis suggested that these potential targets of specific tsRNAs were mainly related to inflammation and immunity. Our study provides compelling evidence that metformin exerts anti-inflammatory effects and modulates the abundance of tsRNAs in LPS-treated RAW264.7 macrophages. These findings establish a valuable foundation for using tsRNAs as potential biomarkers for metformin in the treatment of inflammatory conditions.
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Affiliation(s)
- Huan Lin
- Medical center of Burn plastic and wound repair, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Hongao Deng
- Medical center of Burn plastic and wound repair, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Zhengying Jiang
- Medical center of Burn plastic and wound repair, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Peng Hua
- Medical center of Burn plastic and wound repair, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Shiqiang Hu
- Medical center of Burn plastic and wound repair, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China
| | - Haiyong Ao
- Jiangxi Key Laboratory of Nanobiomaterials & School of Materials Science and Engineering, East China Jiaotong University, Nanchang, China
| | - Meiling Zhong
- School of Materials Science and Engineering, East China Jiaotong University, Nanchang, China
| | - Mingzhuo Liu
- Medical center of Burn plastic and wound repair, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
| | - Guanghua Guo
- Medical center of Burn plastic and wound repair, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
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Abstract
Transfer RNA-derived small RNA (tsRNA)s are novel non-coding RNAs, expressed in a variety of tissues and organs. Two subtypes of tsRNAs have been reported: tRNA-derived stress-induced RNA (tiRNA)s and tRNA-derived fragment (tRF)s. tsRNAs have been reported to play essential roles and possess different biological functions in a variety of physiological activities. Recently, tsRNAs have been implicated in a large number of diseases, such as cancers (including breast cancer, ovarian cancer, lung cancer, prostate cancer, colorectal cancer, etc.), neurological disorders, viral infections, metabolic diseases and angiogenesis-related diseases. Although the biological functions of tsRNAs are still poorly understood, correlations between dysregulated tsRNA expression and disease development have been recently reported. Additionally, their capabilities as potential biomarkers for disease diagnosis and prognosis have been revealed in clinical studies. In this review, we summarize the current knowledge of tsRNAs, and discuss their potential clinical applications as biomarkers in different diseases. Although the regulation of tsRNAs is similar to miRNAs in regards to the related physiological and pathological processes, the higher stability and expression levels of tsRNAs place them as ideal biomarkers for the diagnosis and prognosis in cancer and other diseases. Therefore, it is worth to verify the possibility and reliability of these reported tsRNAs as potential biomarkers for clinical applications in disease diagnosis and prognosis.
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Affiliation(s)
- Yang Jia
- Department of Pediatrics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Wei Tan
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
| | - Yedi Zhou
- Department of Ophthalmology, The Second Xiangya Hospital, Central South University, Changsha, China.,Hunan Clinical Research Center of Ophthalmic Disease, Changsha, China
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