Evidence map›Paper›PMID 28432597›Full record

ReviewCurrent osteoporosis reports2017

T Regulatory Cells in Bone Remodelling.

Aline Bozec, Mario M Zaiss

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current osteoporosis reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
–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

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. Biologic immunomodulators and spinal fusion: evidence, mechanisms, and perioperative considerations.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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14 more citing papers are in PubMed but not listed here.

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.

Aline BozecDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Erlangen, Germany. aline.bozec@uk-erlangen.de.
Mario M ZaissDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Universitätsklinikum Erlangen, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewIn this review, we present the role of regulatory T (Treg) cells in bone remodelling and bone-related disease such as osteoporosis or inflammatory bone loss. We also discuss the cellular and molecular mechanism how Treg cells regulate osteoclastogenesis. RECENT

findingsTreg cells could regulate osteoclastogenesis by secreting TGF-β and IL-10 as well as IL-4 cytokines. Moreover, Treg cells can additionally regulate osteoclast differentiation, in a cell-to-cell contact via the cytotoxic T lymphocyte antigen (CTLA-4). The latter induces the apoptosis of osteoclasts dependent on CD80/86 in vitro and in vivo. Treg cells mediate immunosuppressive function that controls undesired immune reactions, such as autoimmunity. Recently, Treg cells have been shown to influence non-immunological processes, such as bone homeostasis. Accumulated evidences have demonstrated that Treg cells can suppress osteoclast differentiation in vitro and in vivo.

Indexed as

ApoptosisBone RemodelingCTLA-4 AntigenHumansInterleukin-10Interleukin-4OsteoclastsOsteogenesisOsteoporosisT-Lymphocytes, RegulatoryTransforming Growth Factor betaCTLA-4 AntigenInterleukin-10Interleukin-4Transforming Growth Factor betaBone homeostasisOsteoclastOsteoporosisRegulatory T cells

Identifiers

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.