Evidence map›Paper›PMID 41503090›Full record

ReviewNon-coding RNA research2026

The crosstalk network of non-coding RNAs: Emerging opportunities for the clinical application of osteoporosis.

Chunlu Yan, Qiao Wan, Zeling Fang, Chuangwei Sui, Xiaolong Xiao, Fan Yang, Baoshan Di, Yajun Li, Juan Yu, Yana Zhao and 4 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Non-coding RNA research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Chunlu YanThe National Institute of Dunhuang Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Qiao WanSchool of Tradional Chinese and Werstern Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Zeling FangSchool of Tradional Chinese and Werstern Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Chuangwei SuiSchool of Basic Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Xiaolong XiaoSchool of Tradional Chinese and Werstern Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Fan YangSchool of Tradional Chinese and Werstern Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Baoshan DiDepartment of Orthopedic Trauma, Longgang Central Hospital of Shenzhen, Shenzhen, 518000, Guangdong, PR China.
Yajun LiClinical College of Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Juan YuSchool of Public Health, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.
Yana ZhaoDepartment of Basic Teaching and Research Section, Tianshui City Health School, Tianshui, 741000, Gansu, PR China.
Guoliang LiuOrthopedics, Dingxi Traditional Chinese Medicine Hospital, Dingxi, 743000, Gansu, PR China.
Yibo ZhouDepartment of Emergency Medicine, Longgang Central Hospital of Shenzhen, Shenzhen, 518000, Guangdong, PR China.
Wei LiDepartment of Emergency Medicine, Longgang Central Hospital of Shenzhen, Shenzhen, 518000, Guangdong, PR China.
Fangyu AnTeaching Experiment Training Center, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current methods for testing bone density lack the capability to detect patients with early bone loss, and existing osteoporosis therapies have limitations in their efficacy and safety. Therefore, the development of more precise and convenient diagnostic technologies and novel treatments is of paramount importance. Extracellular vesicle (EV)-mediated non-coding RNA (ncRNA) interaction networks enable both the detection of early bone loss and targeted therapy for enhanced treatment outcomes. In this review, we highlight the utility of EVs for carrying various ncRNAs (e.g., miRNAs, lncRNAs, and circRNAs) and thereby forming a complex regulatory network amongst bone-related cells such as osteoblasts and osteoclasts. The mechanisms through which EVs regulate bone cells and their potential for clinical translation are described in detail. Although the EV-mediated ncRNA network holds great promise for the precise diagnosis and targeted treatment of osteoporosis, rigorous large-scale studies are still required to address challenges related to its specificity and clinical application.

Indexed as

Clinical applicationExtracellular vesiclesncRNANetwork regulationOsteoporosis

Identifiers

PMID41503090
PMCPMC12771354

What Socratic 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 Socratic graph.