Evidence map›Paper›PMID 35612711›Full record

ReviewTissue engineering and regenerative medicine2022

Cocktail Formula and Application Prospects for Oral and Maxillofacial Organoids.

Mingyu Ou, Qing Li, Xiaofang Ling, Jinguang Yao, Xiaoqiang Mo

Abstract readReview
In one paragraph

Review in Tissue engineering and regenerative medicine, 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
–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. Review
  2. Article
  3. Review
  4. Deep Learning Model for Predicting Airway Organoid Differentiation.Tissue engineering and regenerative medicine · 2023
    Article
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.

Mingyu OuYoujiang Medical University for Nationalities, No. 98 Countryside Road, BaiseGuangxi, 533000, China.
Qing LiYoujiang Medical University for Nationalities, No. 98 Countryside Road, BaiseGuangxi, 533000, China.
Xiaofang LingYoujiang Medical University for Nationalities, No. 98 Countryside Road, BaiseGuangxi, 533000, China.
Jinguang YaoYoujiang Medical University for Nationalities, No. 98 Countryside Road, BaiseGuangxi, 533000, China. yao7760698@126.com.ORCID 0000-0002-6706-336X
Xiaoqiang MoYoujiang Medical University for Nationalities, No. 98 Countryside Road, BaiseGuangxi, 533000, China. 29109799@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral and maxillofacial organoids (OMOs), tiny tissues and organs derived from stem cells cultured through 3-d cell culture models, can fully summarize the cell tissue structure, physiological functions and biological characteristics of the source tissues in the body. OMOs are applied in areas such as disease modelling, developmental and regenerative medicine, drug screening, personalized treatment, etc. Although the construction of organoids in various parts of the oral and maxillofacial (OM) region has achieved considerable success, the existing cocktail formulae (construction strategies) are not widely applicable for tissues of various sources due to factors including the heterogeneity of the source tissues and the dependence on laboratory technology. Most of their formulae are based on growth factor niches containing expensive recombinant proteins with their efficiency remaining to be improved. In view of this, the cocktail formulae of various parts of the OM organs are reviewed with further discussion of the application and prospects for those OMOs to find some affordable cocktail formula with strong operability and high repeatability for various maxillofacial organs. The results may help improve the efficiency of organoid construction in the laboratory and accelerate the pace of the clinical use of organoid technology.

Indexed as

OrganoidsRegenerative MedicineRecombinant ProteinsStem CellsRecombinant ProteinsNicheOral cavityOrganoidsStem cellsTissue scaffold

Identifiers

PMID35612711
PMCPMC9477993

What OpenQuestion holds

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Registered trials

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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.