Evidence map›Paper›PMID 38322624›Full record

ArticleKidney diseases (Basel, Switzerland)2024

tRNA-Derived Small RNAs: A Novel Regulatory Small Noncoding RNA in Renal Diseases.

Dan Li, Xian Xie, Ni Yin, Xueqin Wu, Bin Yi, Hao Zhang, Wei Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney diseases (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

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.

Dan LiDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.
Xian XieDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.
Ni YinDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.
Xueqin WuDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.
Bin YiDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.
Hao ZhangDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.
Wei ZhangDepartment of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: tRNA-derived small RNAs (tsRNAs) are an emerging class of small noncoding RNAs derived from tRNA cleavage. Summary: With the development of high-throughput sequencing, various biological roles of tsRNAs have been gradually revealed, including regulation of mRNA stability, transcription, translation, direct interaction with proteins and as epigenetic factors, etc. Recent studies have shown that tsRNAs are also closely related to renal disease. In clinical acute kidney injury (AKI) patients and preclinical AKI models, the production and differential expression of tsRNAs in renal tissue and plasma were observed. Decreased expression of tsRNAs was also found in urine exosomes from chronic kidney disease patients. Dysregulation of tsRNAs also appears in models of nephrotic syndrome and patients with lupus nephritis. And specific tsRNAs were found in high glucose model in vitro and in serum of diabetic nephropathy patients. In addition, tsRNAs were also differentially expressed in patients with kidney cancer and transplantation. Key Messages: In the present review, we have summarized up-to-date works and reviewed the relationship and possible mechanisms between tsRNAs and kidney diseases.

Indexed as

Renal diseasestRNA-derived fragmentstRNA-derived stress-induced RNA

Identifiers

PMID38322624
PMCPMC10843216

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Registered trials

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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.