Evidence map›Paper›PMID 41721711›Full record

ReviewFASEB journal : official publication of the Federation of American Societies for Experimental Biology2026

Aging-Driven Inter-Organ Crosstalk in Postmenopausal Osteoporosis: From Immunometabolic Drift to Multisystem Frailty.

Xianlin Rao, Xiaoyu Cai

Abstract readReview
In one paragraph

Review in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

2 authors.

Xianlin RaoDepartment of Infectious Disease, Tongde Hospital of Zhejiang Province, Zhejiang, China.
Xiaoyu CaiDepartment of Pharmacy, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.ORCID https://orcid.org/0000-0002-8510-2967

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postmenopausal osteoporosis (PMOP) is increasingly recognized as an aging-associated, multisystem vulnerability state in which estrogen withdrawal amplifies immune and metabolic drift across bone marrow, muscle, adipose tissue, the gut, vasculature, and neural circuits. We synthesize evidence that key control nodes including RANKL-RANK-OPG imbalance, Th17/Treg disequilibrium, loss of regulatory B cell IL-10 restraint, inflammatory myeloid polarization, and expansion of bone marrow adipose tissue encode persistent osteoclastogenic tone and impaired formation. We map how microbiota-derived metabolites and barrier dysfunction tune osteoimmunity, and how exercise-responsive myokines and metabolites can counteract drift. Extracellular vesicles emerge as bidirectional couriers that propagate senescence and inflammation or support repair, but clinical translation requires ISEV-aligned methodological rigor and robust manufacturing, biodistribution, and safety frameworks. Building on these inter-organ axes, we propose a phenotype-aware "network reset" roadmap that integrates antifracture therapy with functional restoration, falls prevention, cardiometabolic risk control, and inflammatory monitoring, prioritizing composite endpoints and real-world implementation infrastructure. This systems framing shifts PMOP management from bone-only correction toward coordinated restoration of whole-body resilience.

Indexed as

AgingFrailtyOsteoporosis, PostmenopausalAnimalsFemaleHumansextracellular vesiclesfrailtyimmunometabolisminterorgan crosstalkosteoimmunologypostmenopausal osteoporosis

Identifiers

PMID41721711
PMCPMC12924573

What OpenQuestion holds

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LicenceCC BY-NC
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.