Evidence map›Paper›PMID 41446042›Full record

ReviewPrecision clinical medicine2025

RNA modifications in health and disease: from mechanistic insights to therapeutic applications.

Yiting Chen, Dulin Ding, Xing Tang, Rui Ma, Jian-Kang Zhou

Abstract readReview
In one paragraph

Review in Precision clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Mechanistic Insights Into the Oxidative Reactivity of 2-Selenouridine in tRNA.Chemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  4. Review
  5. Article
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

5 authors.

Yiting ChenDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu 610500, China.
Dulin DingDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu 610500, China.
Xing TangSchool of Clinical Medicine, Chengdu Medical College, Chengdu 610500, China.
Rui MaDepartment of Hematology & Hematopoietic Cell Transplantation, City of Hope National Medical Center, Los Angeles, CA 91010, USA.
Jian-Kang ZhouDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu 610500, China.ORCID https://orcid.org/0000-0002-9147-3043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA modifications encompass a series of dynamic chemical changes and editing events on RNA molecules, playing a pivotal role in essential physiological processes such as embryonic development, immune response, and the maintenance of cell homeostasis. By influencing RNA stability, splicing, translation, and intermolecular interactions, RNA modifications serve as crucial mechanisms regulating gene expression at the post-transcriptional level. Dysregulation of the modification machineries or aberrant modification patterns is closely associated with the onset and progression of various diseases, including tumors, metabolic disorders, cardiovascular diseases, and neurological and immune conditions, making them potential biomarkers for disease diagnosis, prognosis, and treatment. In this review, we summarize the molecular mechanisms of major RNA modifications, emphasize their functions in health and disease, and discuss their diagnostic and therapeutic value in pathological contexts.

Indexed as

ac4Cm6AmethylationpseudouridineRNA editingRNA modification

Identifiers

PMID41446042
PMCPMC12723240

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.