Evidence map›Paper›PMID 31920965›Full record

ArticleFrontiers in endocrinology2019

Bone-Derived Extracellular Vesicles: Novel Players of Interorgan Crosstalk.

Yi Li, Pengbin Yin, Zhongkui Guo, Houchen Lv, Yuan Deng, Ming Chen, Ya Gu, Peifu Tang, Licheng Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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  5. Ghost messages: cell death signals spread.Cell communication and signaling : CCS · 2023
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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

9 authors at 1 institution in 1 country.

Yi LiDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Pengbin YinDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Zhongkui GuoDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Houchen LvDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Yuan DengDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Ming ChenDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Ya GuDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Peifu TangDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Licheng ZhangDepartment of Orthopedics, General Hospital of Chinese PLA, Beijing, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of studies have shown that bone plays an active role in regulating glucose metabolism, affects renal, and cardiovascular diseases and even influences the development of offspring. These novel findings have indicated that bone plays a much more important role in the human body than only providing physical support. However, further investigations of the mechanisms underlying the effects of bone are needed. Recently, extracellular vesicles (EVs) have received increased attention because they can transfer functional proteins, mRNAs, and miRNAs between cells/organs. After reviewing the existing evidence, we hypothesized that bone may be involved in interorgan communication via EVs. Further research exploring bone-derived EVs may facilitate the understanding of bone as a multifunctional organ.

Indexed as

bone factorsexosomesextracellular vesiclesFGF23 = fibroblast growth factor 23interorgan crosstalkosteocalcin

Identifiers

PMID31920965
PMCPMC6914759
OpenAlexW2994677290

What OpenQuestion holds

Textmetadata
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.