Evidence map›Paper›PMID 35608372›Full record

ArticleStem cells translational medicine2022

Stem Cells from Human Exfoliated Deciduous Teeth Ameliorate Autistic-Like Behaviors of SHANK3 Mutant Beagle Dogs.

Lu Zhao, Yuan Li, Xiaoxing Kou, Benchi Chen, Jing Cao, Jun Li, Jianqi Zhang, Heng Wang, Jianping Zhao, Songtao Shi

Open access · goldAbstract read
In one paragraph

Article in Stem cells translational 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
0.7field-weighted citation impact, top 34% 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, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. [Biological characteristics and translational research of dental stem cells].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Review
  4. 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

10 authors at 2 institutions in 1 country.

Lu ZhaoHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, South China Center of Craniofacial Stem Cell Research, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, People's Republic of China.
Yuan LiBeijing Sinogene Biotechnology Co. Ltd, Changping District, Beijing, People's Republic of China.
Xiaoxing KouHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, South China Center of Craniofacial Stem Cell Research, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, People's Republic of China.
Benchi ChenBeijing Sinogene Biotechnology Co. Ltd, Changping District, Beijing, People's Republic of China.
Jing CaoCAR-T (Shanghai) Biotechnology Co. Ltd, Yangpu District, Shanghai, People's Republic of China.
Jun LiKey Laboratory of Stem Cells and Tissue Engineering (Sun Yat-sen University), Ministry of Education, Guangzhou, People's Republic of China.
Jianqi ZhangBeijing Sinogene Biotechnology Co. Ltd, Changping District, Beijing, People's Republic of China.
Heng WangBeijing Sinogene Biotechnology Co. Ltd, Changping District, Beijing, People's Republic of China.
Jianping ZhaoBeijing Sinogene Biotechnology Co. Ltd, Changping District, Beijing, People's Republic of China.
Songtao ShiHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, South China Center of Craniofacial Stem Cell Research, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, People's Republic of China.ORCID 0000-0002-3642-912X
Sun Yat-sen University · CNShanghai CASB Biotechnology (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stem cell-based therapy has emerged as a great potential approach to treat individuals with autism spectrum disorders (ASD), a group of developmental disabilities characterized by impairments in social interaction and communication. Stem cells from human exfoliated deciduous teeth (SHED), holding earlier developing characteristics, have immune-modulatory and anti-inflammatory properties. To investigate whether SHED transplantation can rescue autistic-like symptoms in SHANK3 mutant beagle dogs, 12 SHANK3 mutant beagle dogs were randomly assigned into 2 groups according to their behavior evaluated by social interaction tests. Six mutant dogs received 6 intravenous infusions of SHED and were followed up for 3 months by testing social interaction and inflammatory cytokine levels. We found that infusion of SHED significantly improved impaired social novel preference of SHANK3 mutant beagle dogs at 1- and 3-month follow-ups. Social intimacies (following, sniffing, and licking) between mutant beagle dogs and human experimenters were partly improved. Stressed tail posture, indicating social stress, was also significantly alleviated. In addition, we showed that the levels of serum interferon-γ and interleukin-10 were notably increased and decreased, respectively, in SHANK3 mutant beagle dogs. Infusion of SHED was able to rescue altered interferon-γ and interleukin-10 levels. We failed to observe any serious adverse events after infusion of SHED. In summary, SHED transplantation may be a safe and effective therapy for ASD. The correction in the levels of serum interferon-γ and interleukin-10 may serve as an index to predict autistic severity and therapeutic outcomes.

Indexed as

Autistic DisorderAnimalsDogsHumansInterferon-gammaInterleukin-10Nerve Tissue ProteinsStem CellsTooth, DeciduousInterferon-gammaInterleukin-10Nerve Tissue ProteinsSHANK3 protein, humanautisminterferon-γinterleukin-10mesenchymal stem cellsSHANK3stem cells from human exfoliated deciduous teeth

Identifiers

PMID35608372
PMCPMC9299510
OpenAlexW4226149224

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.