Evidence map›Paper›PMID 30863061›Full record

ArticleInternational journal of nanomedicine2019

A novel, self-assembled artificial cartilage-hydroxyapatite conjugate for combined articular cartilage and subchondral bone repair: histopathological analysis of cartilage tissue engineering in rat knee joints.

Takanori Kumai, Naoko Yui, Kanaka Yatabe, Chizuko Sasaki, Ryoji Fujii, Mitsuko Takenaga, Hiroto Fujiya, Hisateru Niki, Kazuo Yudoh

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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  10. Biological and Medical Applications of Calcium Phosphate Nanoparticles.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021
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  12. Effect of Pore Size on Cell Behavior Using Melt Electrowritten Scaffolds.Frontiers in bioengineering and biotechnology · 2021
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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

9 authors at 1 institution in 3 countries.

Takanori KumaiDepartment of Sports Medicine, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8511, Japan.
Naoko YuiDepartment of Sports Medicine, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8511, Japan.
Kanaka YatabeDepartment of Sports Medicine, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8511, Japan.
Chizuko SasakiInstitute for Ultrastructural Morphology, St Marianna University Graduate School of Medicine, Miyamae-ku, Kawasaki 216-8512, Japan.
Ryoji FujiiDepartment of Frontier Medicine, Institute of Medical Science, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8512, Japan, yudo@marianna-u.ac.jp.
Mitsuko TakenagaDepartment of Frontier Medicine, Institute of Medical Science, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8512, Japan, yudo@marianna-u.ac.jp.
Hiroto FujiyaDepartment of Sports Medicine, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8511, Japan.
Hisateru NikiDepartment of Orthopaedic Surgery, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8512, Japan.
Kazuo YudohDepartment of Frontier Medicine, Institute of Medical Science, St Marianna University School of Medicine, Miyamae-ku, Kawasaki 216-8512, Japan, yudo@marianna-u.ac.jp.
St. Marianna University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe previously created a self-assembled cartilage-like complex in vitro from only three cartilage components, hyaluronic acid (HA), aggrecan (AG) and type II collagen, without other materials such as cross-linking agents. Based on this self-organized AG/HA/collagen complex, we have created three novel types of biphasic cartilage and bone-like scaffolds combined with hydroxyapatite (HAP) for osteochondral tissue engineering. These scaffolds have been developed from self-assembled cartilage component molecules and HAP at the nanometer scale by manipulating the intermolecular relations. PATIENTS AND

methodsThe surface structure of each self-organized biphasic cartilage and bone-like scaffold was evaluated by scanning electron microscopy, whereas the viscoelasticity was also analyzed in vitro. Three types of artificial cartilage-HAP conjugates were implanted into an osteochondral defect in rat knee joints, and bone and cartilage tissues of the implanted site were examined 4 and 8 weeks after implantation. The tissues were examined histopathologically to evaluate the effects of the implantation on the articular cartilage and subchondral bone tissues.

resultsOur in vitro and in vivo data reveal that the self-organized biphasic cartilage and bone-like scaffold conjugated with HAP are superior to the scaffold with no HAP in both cartilage regeneration and subchondral bone regeneration.

conclusionOur present study indicates that the self-organized biphasic cartilage and bone-like scaffold, which is conjugated with an HAP layer, may have potential not only to repair articular cartilage defects but also to ameliorate the degeneration of subchondral bone in the diseases with osteochondral defect.

Indexed as

AgedAnimalsBone RegenerationCartilage, ArticularCells, CulturedChondrocytesCollagen Type IIDurapatiteElasticityHumansKnee JointMaleOsteoarthritisRats, Sprague-DawleyTissue EngineeringTissue ScaffoldsCollagen Type IIDurapatitearticular cartilagecartilage tissue engineeringhydroxyapatiteosteoarthritisself assemblysubchondral bone

Identifiers

PMID30863061
PMCPMC6391143
OpenAlexW2912415335

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.