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Hu Y, Liu Y, Shen J, Yin L, Hu X, Huang X, Chen Y, Zhang Y. Longitudinal observation of tRNA-derived fragments profiles in gestational diabetes mellitus and its diagnostic value. J Obstet Gynaecol Res 2024; 50:1317-1333. [PMID: 38923718 DOI: 10.1111/jog.16008] [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: 03/18/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Gestational Diabetes Mellitus (GDM) poses significant risks to maternal and fetal health. Current diagnostic methods based on glucose tolerance tests have limitations for early detection. tRNA-derived small RNAs (tsRNAs) have emerged as potential molecular regulators in various diseases, including metabolic disorders. However, the diagnostic value of tsRNAs in plasma for early GDM or postpartum remains unclear. METHODS This longitudinal study profiled the expression of tsRNAs across different gestational stages and postpartum in women with GDM (n = 40) and healthy control gestational women (HCs, n = 40). High-throughput small RNA sequencing identified candidate tsRNAs, which were then validated and correlated with clinical biochemical markers such as fasting blood glucose (FBG), HOMA-IR, and GHbA1c. RESULTS tRF-1:32-Val-AAC-1-M6, tRF-1:31-Glu-CTC-1-M2, and tRF-1:30-Gly-CCC-1-M4 were consistently upregulated in the GDM group compared to HCs during the second trimester (p < 0.05). Only tRF-1:31-Glu-CTC-1-M2 was highly expressed during the first trimester, and tRF-1:30-Gly-CCC-1-M4 increased during postpartum. tRF-1:31-Glu-CTC-1-M2 showed a significant correlation with FBG levels in the first trimester (R = 0.317, p = 0.047). The expression of tRF-1:30-Gly-CCC-1-M4 was significantly correlated with HOMA-IR (r = 0.65, p < 0.001) and GHBA1c (r = 0.33, p = 0.037) during postpartum. A joint diagnostic model incorporating tsRNAs expression and clinical markers demonstrated enhanced predictive power for GDM (ROC AUC = 0.768). CONCLUSION Our results revealed distinct expression patterns of specific tsRNAs in GDM, showcasing their correlation with key metabolic parameters. This underscores their promising role as biomarkers for early prediction and diagnosis of GDM. The integration of tRFs into a composite biomarker panel holds the potential to improve clinical outcomes by enabling personalized risk assessment and targeted interventions.
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Affiliation(s)
- Yifang Hu
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
| | - Yan Liu
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
| | - Jun Shen
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
| | - Lihua Yin
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
| | - Xiaoxia Hu
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
| | - Xiaolei Huang
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
| | - Yingyuan Chen
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
| | - Yisheng Zhang
- Department of Obstetrics, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China
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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] [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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Wang Q, Huang Q, Ying X, Shen J, Duan S. Unveiling the role of tRNA-derived small RNAs in MAPK signaling pathway: implications for cancer and beyond. Front Genet 2024; 15:1346852. [PMID: 38596214 PMCID: PMC11002130 DOI: 10.3389/fgene.2024.1346852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 03/13/2024] [Indexed: 04/11/2024] Open
Abstract
tRNA-derived small RNAs (tsRNAs) are novel small non-coding RNAs originating from mature or precursor tRNAs (pre-tRNA), typically spanning 14 to 30 nt. The Mitogen-activated protein kinases (MAPK) pathway orchestrates cellular responses, influencing proliferation, differentiation, apoptosis, and transformation. tsRNAs influence the expression of the MAPK signaling pathway by targeting specific proteins within the pathway. Presently, four MAPK-linked tsRNAs have implications in gastric cancer (GC) and high-grade serous ovarian cancer (HGSOC). Notably, tRF-Glu-TTC-027 and tRF-Val-CAC-016 modulate MAPK-related protein expression, encompassing p38, Myc, ERK, CyclinD1, CyclinB, and c-Myc, hindering GC progression via MAPK pathway inhibition. Moreover, tRF-24-V29K9UV3IU and tRF-03357 remain unexplored in specific mechanisms. KEGG analysis posits varied tsRNAs in MAPK pathway modulation for diverse non-cancer maladies. Notably, high tRF-36-F900BY4D84KRIME and tRF-23-87R8WP9IY expression relates to varicose vein (VV) risk. Elevated tiRNA-Gly-GCC-001, tRF-Gly-GCC-012, tRF-Gly-GCC-013, and tRF-Gly-GCC-016 target spinal cord injury (SCI)-related brain-derived neurotrophic factor (BDNF), influencing MAPK expression. tRF-Gly-CCC-039 associates with diabetes foot sustained healing, while tRF-5014a inhibits autophagy-linked ATG5 in diabetic cardiomyopathy (DCM). Additionally, tsRNA-14783 influences keloid formation by regulating M2 macrophage polarization. Upregulation of tRF-Arg-ACG-007 and downregulation of tRF-Ser-GCT-008 are associated with diabetes. tsRNA-04002 alleviates Intervertebral disk degeneration (IDD) by targeting PRKCA. tsRNA-21109 alleviates Systemic lupus erythematosus (SLE) by inhibiting macrophage M1 polarization. The upregulated tiNA-Gly-GCC-002 and the downregulated tRF-Ala-AGC-010, tRF-Gln-CTG-005 and tRF-Leu-AAG-001 may be involved in the pathogenesis of Lupus nephritis (LN) by affecting the expression of MAPK pathway. Downregulation of tsRNA-1018, tsRNA-3045b, tsRNA-5021a and tsRNA-1020 affected the expression of MAPK pathway, thereby improving Acute lung injury (ALI). This review comprehensively dissects tsRNA roles in MAPK signaling across cancers and other diseases, illuminating a novel avenue for translational medical exploration.
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Affiliation(s)
- Qurui Wang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Qinyuan Huang
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Xiaowei Ying
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Jinze Shen
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
| | - Shiwei Duan
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
- Department of Clinical Medicine, School of Medicine, Hangzhou City University, Hangzhou, Zhejiang, China
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Zhang Q, Zhao X, Sun M, Dong D. Novel insights into transfer RNA-derived small RNA (tsRNA) in cardio-metabolic diseases. Life Sci 2024; 341:122475. [PMID: 38309576 DOI: 10.1016/j.lfs.2024.122475] [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: 10/13/2023] [Revised: 01/19/2024] [Accepted: 01/26/2024] [Indexed: 02/05/2024]
Abstract
Cardio-metabolic diseases, including a cluster of metabolic disorders and their secondary affections on cardiovascular physiology, are gradually brought to the forefront by researchers due to their high prevalence and mortality, as well as an unidentified pathogenesis. tRNA-derived small RNAs (tsRNAs), cleaved by several specific enzymes and once considered as some "metabolic junks" in the past, have been proved to possess numerous functions in human bodies. More interestingly, such a potential also seems to influence the progression of cardio-metabolic diseases to some extent. In this review, the biogenesis, classification and mechanisms of tsRNAs will be discussed based on some latest studies, and their relations with several cardio-metabolic diseases will be highlighted in sequence. Lastly, some future prospects, such as their clinical applications as biomarkers and therapeutic targets will also be mentioned, in order to provide researchers with a comprehensive understanding of the research status of tsRNAs as well as its association with cardio-metabolic diseases, thus presenting as a beacon to indicate directions for the next stage of study.
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Affiliation(s)
- Qingya Zhang
- Innovation Institute, China Medical University, Shenyang 110122, Liaoning, China
| | - Xiaopeng Zhao
- College of Exercise and Health, Shenyang Sport University, Shenyang 110102, Liaoning, China
| | - Mingli Sun
- College of Exercise and Health, Shenyang Sport University, Shenyang 110102, Liaoning, China
| | - Dan Dong
- College of Basic Medical Science, China Medical University, Shenyang 110122, Liaoning, China.
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Zhang J, Xi Y, Fei Q, Xu J, Hu J. Identification of tRNA-derived RNAs in adipose tissue from overweight type 2 diabetes mellitus patients and their potential biological functions. Front Endocrinol (Lausanne) 2023; 14:1139157. [PMID: 37484941 PMCID: PMC10358832 DOI: 10.3389/fendo.2023.1139157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/24/2023] [Indexed: 07/25/2023] Open
Abstract
Background Type 2 diabetes mellitus (T2DM)causes a huge public health burden worldwide, especially for those who are overweight or obese, the pain is often greater. And search for effective targets in overweight T2DM could help improve patient quality of life and prognosis. tRNA-derived RNAs (tsRNAs) are multifunctional regulators that are currently receiving much attention, but there is still a lack of knowledge about tsRNAs in overweight T2DM. Methods T2DM patients with BMI ≥ 25 (Overweight group) and BMI< 25 (Control group) were subjected to tsRNA sequencing; differentially expressed tsRNAs in the two groups were analyzed and their expression was verified using qRT-PCR. The biological function of downstream target genes was also evaluated by enrichment analysis. Results qRT-PCR evaluation identified a tsRNA with up-regulated expression (tRF-1-28-Glu-TTC-3-M2) and a tsRNA with down-regulated expression (tRF-1-31-His-GTG-1), both of which may be involved in metabolic and energy-related processes. Conclusion Dysregulation of tsRNA expression in overweight patients with T2DM suggests a potential role for tsRNA in the development of T2DM.
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