Evidence map›Paper›PMID 42625101›Full record

ReviewMolecular biomedicine2026

RNA splicing in health and disease.

Huining Huang, Yao Yu, Qian Zhou, Guangtong Deng, Yayun Li, Furong Zeng

Abstract readReview
In one paragraph

Review in Molecular biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Huining Huang *Department of Dermatology, Huiya Hospital of The First Affiliated Hospital, Sun Yat-Sen University, Huizhou, 516000, China.
Yao Yu *Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Qian ZhouDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Guangtong DengDepartment of Dermatology, Xiangya Hospital, Central South University, Changsha, China.
Yayun LiDepartment of Dermatology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, China. liyayun@csu.edu.cn.
Furong ZengDepartment of Oncology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, China. zengfurong@csu.edu.cn.

Funding

Changsha Municipal Natural Science Foundation kq2208359Hunan Provincial Natural Science Foundation of China 2023JJ40893National Natural Science Foundation of China 82573574
6 · The paper itself

Abstract

RNA splicing expands the functional output of eukaryotic genomes by enabling individual precursor messenger RNA (pre-mRNA) to generate multiple mature transcripts with protein‑coding and regulatory properties. Its fidelity and plasticity depend on coordinated interactions among the spliceosome, trans-acting splicing factors, cis-regulatory elements, and chromatin- and RNA-associated regulatory mechanisms. However, how these components collectively generate cell- and tissue-specific splicing programs, and how their disruption drives disease, remain incompletely understood. In this review, we integrate the molecular regulation of RNA splicing with its physiological, pathological and therapeutic consequences. We describe how spliceosome assembly, splicing regulatory elements, splicing factors, epigenetic modifications, and post-transcriptional processes determine splice-site selection. We then examine how regulated isoform programs support development, tissue specialization, homeostasis, circadian timing, and stress adaptation, and how their failure contributes to cancer and diverse non-neoplastic diseases. In cancer, we highlight the bidirectional interplay between splicing dysregulation and the tumor microenvironment, through which metabolic reprogramming and immune suppression reinforce aberrant splicing. Finally, we assess strategies that modulate the spliceosome, splicing-factor activity, or disease-associated transcripts, and present a perspective on how multi-omics, artificial intelligence, targeted delivery, and combination with immunotherapy could collectively advance the discovery and precision of splicing-directed therapies. We suggest that safe clinical translation will require greater selectivity, reduced off-target toxicity, and preservation of essential physiological splicing.

Indexed as

DiseaseNeoplasmsRNA SplicingAnimalsHumansSpliceosomesAlternative splicingDisease pathogenesisRNA splicingSplicing regulationTherapeutic targeting

Identifiers

PMID42625101
PMCPMC13493724

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.