Evidence map›Paper›PMID 43005894›Full record

ReviewFrontiers in immunology2026

The "gut-immune-bone axis": quantitative MRI reveals the microbial-immune-bone metabolic interplay in osteoporosis.

Liang Wu, Hong Yan Yao, Zhen Jiang Fu, Rong Hao Luo, Sheng Zhou

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Liang WuGansu University of Traditional Chinese Medicine, Lanzhou, China.
Hong Yan YaoGansu Provincial Hospital, Lanzhou, China.
Zhen Jiang FuGansu University of Traditional Chinese Medicine, Lanzhou, China.
Rong Hao LuoGansu University of Traditional Chinese Medicine, Lanzhou, China.
Sheng ZhouGansu Provincial Hospital, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis is a systemic skeletal disorder, whose pathogenesis is related to abnormalities in bone metabolism, as well as gut microbiota and immune system dysregulations. This structured narrative review synthesizes recent evidence on the "gut-immune-bone axis" in osteoporosis, with emphasis on studies published from 2020 to 2025 and selected later studies incorporated during manuscript revision when directly relevant. This article first outlines the direct and indirect regulatory roles of gut microbiota and its products (short-chain fatty acids, tryptophan catabolites, etc.) in bone metabolism. It then focuses on immune cells that participate in bone remodeling, including the Th17/Treg balance, B cells, and macrophages, and their interactions with the gut microbiota. The review further discusses recent developments in quantitative magnetic resonance imaging for quantifying bone microarchitecture, marrow composition, and metabolic status and considers how these measures may serve as downstream phenotyping tools in studies of the gut-immune-bone axis. Finally, an integrative model of the microbial-immune-bone metabolic network is proposed and translational strategies, including microbiome-directed interventions, immunomodulatory therapies, and multi-omics approaches, are critically discussed.

Indexed as

Bone and BonesGastrointestinal MicrobiomeMagnetic Resonance ImagingOsteoporosisAnimalsBone RemodelingHumansbone metabolismgut-immune-bone axisgut microbiotaosteoimmunologyosteoporosisquantitative magnetic resonance imagingshort-chain fatty acids

Identifiers

PMID43005894
PMCPMC13746846

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.