Evidence map›Paper›PMID 40810918›Full record

ReviewMolecular and cellular biochemistry2025

Deciphering the enigma: long noncoding RNAs in disease pathogenesis and therapeutic prospects.

Palaniappan Ramesh, Pallavi Muthyala, Suresh Kumar Kali

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular and cellular biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. LncRNA Knockdown Using Gapmer Antisense Oligonucleotides.Methods in molecular biology (Clifton, N.J.) · 2026
    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

3 authors.

Palaniappan Ramesh *Department of Medical Oncology, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, 45122, Essen, Germany.
Pallavi Muthyala *Department of Anatomy, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE.
Suresh Kumar KaliDepartment of Microbiology and Immunology, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE. 700039846@uaeu.ac.ae.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advancements in disease understanding and therapeutic interventions, the global burden of diseases continues to increase rapidly, emphasizing the need for novel insights and approaches. Long noncoding RNAs (lncRNAs) have emerged as key players in biological processes and influence gene expression regulation and cellular signalling pathways. This review explores the complex roles of lncRNAs in modulating chromatin function, regulating nuclear bodies, and impacting posttranslational modifications. Moreover, their interactions with various RNA species and proteins significantly influence cell signalling cascades, thereby contributing to diverse pathophysiological conditions, including cancer, neurological disorders, metabolic syndromes, and autoimmune diseases. We highlight the potential of lncRNAs as diagnostic biomarkers and therapeutic targets in clinical settings. By describing the complex involvement of lncRNAs in disease mechanisms, this review aims to stimulate further research in this field, encouraging a deeper understanding of disease pathogenesis and paving the way for innovative therapeutic strategies.

Indexed as

Autoimmune DiseasesGene Expression RegulationNeoplasmsNervous System DiseasesRNA, Long NoncodingAnimalsHumansSignal TransductionRNA, Long NoncodingCancer biomarkersDisease pathogenesisGene regulationLong noncoding RNA (lncRNA)NF-κBPI3K/AKTSignaling pathwaysTGF-βTherapeutic targetsWNT/β-catenin

Identifiers

What OpenQuestion holds

Textmetadata
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.