BACKGROUND: Spontaneous preterm labor (PTL) accounts for approximately 70% of preterm births, posing significant risks to both maternal and neonatal health. Current predictive biomarkers lack sufficient reliability, underscoring the need for non-invasive and dependable indicators. Emerging research indicates that tRNA-derived small RNAs (tsRNAs) are involved in various diseases; however, their potential association with PTL remains underexplored. METHODS: Bioinformatics analyses of public GEO datasets (PRJNA415953 and PRJNA428989) were conducted to identify tsRNAs associated with PTL. Validation was performed using plasma extracellular vesicles samples collected at 12 weeks of gestation from PTL patients (nâ=â45) and healthy controls (nâ=â38). Functional assays were used to assess the impact of tsRNA1 (tRNA-Gly-GCC-5p-tRF-921) on extravillous trophoblast (EVT) function, including apoptosis, migration, invasion, and endothelial-like tube formation in HTR8/SVneo cells. Transcriptomic sequencing was conducted to identify tsRNA1-mediated pathways, and DNA methylation patterns were predicted based on the transcriptomic data. Statistical significance was determined using Student's t-test. RESULTS: Two tsRNAs, tsRNA1 and tsRNA3 (tRNA-Gly-GCC-5p-tR-half-368), were significantly upregulated in PTL patient samples compared to controls. Overexpression of tsRNA1 impaired EVT function, increased apoptosis, and altered DNA methylation profiles, implicating its critical role in PTL mechanisms. CONCLUSIONS: This study identifies tsRNA1 as a key regulator of EVT dysfunction and placental pathology in PTL. The findings provide novel insights into the mechanistic role of tsRNAs in PTL and highlight tsRNA1 as a promising biomarker for early risk stratification and prediction of the condition. CLINICAL TRIAL NUMBER: Not applicable.
Maternal plasma extracellular vesicles tsRNA as potential biomarkers for assessing preterm labor risk.
母体血浆细胞外囊泡tsRNA作为评估早产风险的潜在生物标志物
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作者:Sun Xinrui, Feng Ying, Xie Liang, Wu Yilun, Mao Jia, Zhang Yi, Zhang Linyu, Yuan Xin, Ni Jiangping, Xiao Xue, Liu Hanmin, Dai Li, Ma Fang
| 期刊: | BMC Pregnancy and Childbirth | 影响因子: | 2.700 |
| 时间: | 2025 | 起止号: | 2025 May 10; 25(1):553 |
| doi: | 10.1186/s12884-025-07672-3 | 研究方向: | 细胞生物学 |
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