Evidence map›Paper›PMID 35359440›Full record

ArticleFrontiers in cell and developmental biology2022

Selective Retinoic Acid Receptor γ Antagonist 7C is a Potent Enhancer of BMP-Induced Ectopic Endochondral Bone Formation.

Daisuke Tateiwa, Takashi Kaito, Kunihiko Hashimoto, Rintaro Okada, Joe Kodama, Junichi Kushioka, Zeynep Bal, Hiroyuki Tsukazaki, Shinichi Nakagawa, Yuichiro Ukon and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2022. 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
1.8field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

17 authors at 6 institutions in 2 countries.

Daisuke TateiwaDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Takashi KaitoDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Kunihiko HashimotoDepartment of Orthopaedic Surgery, Osaka Second Police Hospital, Osaka, Japan.
Rintaro OkadaDepartment of Orthopaedic Surgery, Mino Municipal Hospital, Mino, Japan.
Joe KodamaDepartment of Orthopaedics, University of Maryland School of Medicine, Baltimore, MD, United States.
Junichi KushiokaDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Zeynep BalDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Hiroyuki TsukazakiDepartment of Orthopaedic Surgery, Kansai Rosai Hospital, Amagasaki, Japan.
Shinichi NakagawaDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Yuichiro UkonDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Hiromasa HiraiDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Hongying TianDepartment of Orthopaedics, University of Maryland School of Medicine, Baltimore, MD, United States.
Ivan AlferievDepartment of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Michael ChornyDepartment of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Satoru OtsuruDepartment of Orthopaedics, University of Maryland School of Medicine, Baltimore, MD, United States.
Seiji OkadaDepartment of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
Masahiro IwamotoDepartment of Orthopaedics, University of Maryland School of Medicine, Baltimore, MD, United States.
Osaka University · JPUniversity of Maryland, Baltimore · USChildren's Hospital of Philadelphia · USKansai Rosai Hospital · JPMinoh City Hospital · JPOsaka Police Hospital · JP

Funding

Local Control of endochondral ossification by retinoid-loaded nano-particlesR01AR072713 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI CHORNY, MICHAEL, IWAMOTO, MASAHIRO · 2018 to 2022
$1.8M
NIAMS NIH HHS R01 AR072713
6 · The paper itself

Abstract

Bone morphogenetic proteins (BMPs) have been clinically applied for induction of bone formation in musculoskeletal disorders such as critical-sized bone defects, nonunions, and spinal fusion surgeries. However, the use of supraphysiological doses of BMP caused adverse events, which were sometimes life-threatening. Therefore, safer treatment strategies for bone regeneration have been sought for decades. Systemic administration of a potent selective antagonist of retinoic acid nuclear receptor gamma (RARγ) (7C) stimulated BMP-induced ectopic bone formation. In this study, we developed 7C-loaded poly lactic nanoparticles (7C-NPs) and examined whether local application of 7C enhances BMP-induced bone regeneration. The collagen sponge discs that absorbed recombinant human (rh) BMP-2 were implanted into the dorsal fascia of young adult mice to induce ectopic bone. The combination of rhBMP-2 and 7C-NP markedly increased the total bone volume and thickness of the bone shell of the ectopic bone in a dose-dependent manner compared to those with rhBMP-2 only. 7C stimulated sulfated proteoglycan production, expression of chondrogenic marker genes, and Sox9 reporter activity in both chondrogenic cells and MSCs. The findings suggest that selective RARγ antagonist 7C or the related compounds potentiate the bone inductive ability of rhBMP-2, as well as support any future research to improve the BMP-2 based bone regeneration procedures in a safe and efficient manner.

Indexed as

Bmp/Smad signalingbone morphogenetic proteinbone regenerationendochondral bone formationRARγ inverse agonistretinoic acid receptor γ

Identifiers

PMID35359440
PMCPMC8963923
OpenAlexW4220724423

What OpenQuestion holds

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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.