Evidence map›Paper›PMID 38577024›Full record

ReviewNon-coding RNA research2024

Role of extracellular vesicles associated with microRNAs and their interplay with cuproptosis in osteoporosis.

Yong Sun, Peng Chen, Bin Zhao

Open access · goldAbstract readReview
In one paragraph

Review in Non-coding RNA research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

17 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Cuproptosis and Diabetic Osteoporosis: Mechanisms and Therapeutic Prospects.International journal of molecular sciences · 2026
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Musculoskeletal disorders: does cuproptosis hold the key?Frontiers in cell and developmental biology · 2026
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Cuproptosis and its potential role in musculoskeletal disease.Frontiers in cell and developmental biology · 2025
    Review
  17. 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

3 authors at 2 institutions in 1 country.

Yong SunDepartment of Sports Medicine, Fourth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Peng ChenDepartment of Orthopedics, The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong Province, China.
Bin ZhaoDepartment of Sports Medicine, Fourth Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Chinese PLA General Hospital · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis (OP)-associated fractures can result in severe morbidity and disability, reduced quality of life, and death. Previous studies have suggested that small noncoding RNAs, for example, small regulatory microRNAs (miRNAs), play a key role in OP by inhibiting target gene expression. Cuproptosis, a recently proposed copper-induced cell death pathway, is linked with OP. Here, we describe the contribution of exosomal miRNAs and cuproptosis to OP. First, we highlight the characteristics of exosomes and roles of exosome-related miRNAs. Next, we discuss the relationship between cuproptosis and OP. Subsequently, we analyze the crosstalk of exosomal miRNAs with cuproptosis in the development of OP. This review aims to investigate a new clinical treatment method for OP.

Indexed as

CuproptosisExtracellular vesiclesmicroRNAsOsteoporosis

Identifiers

PMID38577024
PMCPMC10990744
OpenAlexW4392752555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.