Evidence map›Paper›PMID 42359046›Full record

ReviewResearch (Washington, D.C.)2026

Interorgan Communications in Skeletal Pathophysiology: From Molecular Pathways to Multidisciplinary Therapies.

Donghao Gan, Lei Qin, Guozhi Xiao

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 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

3 authors.

Donghao GanDepartment of Biochemistry, Homeostatic Medicine Institute, School of Medicine, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, China.
Lei QinDepartment of Orthopaedics, Shenzhen Nanshan People's Hospital, Affiliated Nanshan Hospital of Shenzhen University, Shenzhen, China.
Guozhi XiaoDepartment of Biochemistry, Homeostatic Medicine Institute, School of Medicine, Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Shenzhen Key Laboratory of Cell Microenvironment, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0002-4269-2450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communications between organs contribute to propel physiological functions, as well as pathological processes. Growing evidence indicates that bone is continuously regulated by multiple layers of endocrine, immune, metabolic, and neural networks. The common bone diseases, including osteoporosis, osteoarthritis, rheumatoid arthritis, and intervertebral disc degeneration, are reported with tight associations to other nonbone organs. These organ-bone axes emphasize the interorgan communications that maintain the bone homeostasis and maintain individual health. In this review, we systematically summarize recent advances in the organ-bone communications, highlighting mechanistic innovations, such as the gut-bone-immune axis, neuro-immune-bone integration, hypothalamic-pituitary-adrenal axis, adipo-neuro-bone axis, and their connections with bone pathophysiology. Furthermore, we highlight circulating biomarkers and imaging advances reflecting organ-bone crosstalk. Finally, we discuss the clinical relevance, current research gaps, and unsolved questions of organ-bone communications in the diagnostic stratification, treatment selection, and multidisciplinary management of bone diseases.

Identifiers

PMID42359046
PMCPMC13291494

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.