Evidence map›Paper›PMID 41364539›Full record

ArticleAnnals of the New York Academy of Sciences2026

tRF-30-FP18LPMBQ4NK in Systemic Juvenile Idiopathic Arthritis: A Promising Diagnostic and Disease Activity Biomarker.

Jiqian Huang, Yuting Pan, Jing Jin, Xiaoyan Shao, Wenjie Zheng, Zhidan Fan, Haiguo Yu

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jiqian HuangDepartment of Rheumatology and Immunology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Yuting PanDepartment of Rheumatology and Immunology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Jing JinDepartment of Rheumatology and Immunology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Xiaoyan ShaoDepartment of Rheumatology and Immunology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Wenjie ZhengDepartment of Pediatric Rheumatology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Zhidan FanDepartment of Rheumatology and Immunology, Children's Hospital of Nanjing Medical University, Nanjing, China.
Haiguo YuDepartment of Rheumatology and Immunology, Children's Hospital of Nanjing Medical University, Nanjing, China.

Funding

Jiangsu Commission of Health M2021080Jiangsu Commission of Health M2022018National Key Research and Development Program of China 2021YFC2702000National Natural Science Foundation of China 81771762National Natural Science Foundation of China 82271838ZhejiangProvincial Natural Science Foundation of China LY23H100002
6 · The paper itself

Abstract

Diagnosing systemic juvenile idiopathic arthritis (sJIA) poses significant challenges. Accumulating evidence has indicated that tRNA-derived fragments (tRFs) play integral roles in the pathogenesis of numerous diseases. Plasma samples were collected from individuals diagnosed with sJIA and healthy controls (HCs) from two medical centers and divided into training and validation cohorts. Small-RNA high-throughput sequencing was employed to investigate the expression profiles of tRFs in the plasma of patients. Aberrantly expressed tRFs in sJIA were validated using quantitative reverse-transcription PCR (qRT-PCR). A total of 245 tRFs were differentially expressed in sJIA samples than in HC samples. Through qRT-PCR validation, tRF-30-FP18LPMBQ4NK was identified as a potential biomarker. In the training cohort, plasma levels of tRF-30-FP18LPMBQ4NK were significantly higher in patients with sJIA than in HCs. Furthermore, the tRF-30-FP18LPMBQ4NK levels in patients in the active disease group were substantially higher than those in the inactive disease group. Additionally, the positive and negative predictive values of the selected tRF in the validation cohort reached 100% and 85%, respectively. Our results suggest that tRF-30-FP18LPMBQ4NK can be used as a promising biomarker candidate for sJIA and has the potential to aid in determining disease activity among patients with sJIA.

Indexed as

Arthritis, JuvenileRNA, TransferAdolescentBiomarkersChildChild, PreschoolFemaleHumansMaleBiomarkersRNA, Transferbiomarkerdisease activityjuvenile idiopathic arthritissmall‐RNA sequencingtransfer RNA fragment

Identifiers

PMID41364539
PMCPMC12917932

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.