Evidence map›Paper›PMID 39075076›Full record

ArticleTranslational psychiatry2024

A clustering approach identifies an Autism Spectrum Disorder subtype more responsive to chronic oxytocin treatment.

Weihua Zhao, Jiao Le, Qi Liu, Siyu Zhu, Chunmei Lan, Qianqian Zhang, Yingying Zhang, Qin Li, Juan Kou, Wenxu Yang and 4 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Eye Tracking as a Treatment Monitoring Tool for Autism: A Multilevel Meta-Analysis.Autism research : official journal of the International Society for Autism Research · 2025
    Pooled it
  2. Review
  3. Article
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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

14 authors.

Weihua Zhao *The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.ORCID 0000-0003-1780-4606
Jiao Le *Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Qi LiuThe Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Siyu ZhuSchool of Sport Training, Chengdu Sport University, Chengdu, 610041, China.ORCID 0000-0002-5851-742X
Chunmei LanThe Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Qianqian ZhangThe Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Yingying ZhangDepartment of Molecular Psychology, Institute of Psychology and Education, Ulm University, 89081, Ulm, Germany.
Qin LiChengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Juan KouInstitute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, 610066, China.ORCID 0000-0002-0634-7991
Wenxu YangChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Rong ZhangKey Laboratory for Neuroscience, MOE Key Laboratory for Neuroscience, Ministry of Health, Beijing, China.ORCID 0000-0002-6889-5571
Benjamin BeckerDepartment of Psychology, The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, 999077, China.ORCID 0000-0002-9014-9671
Lan ZhangChengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China. 893279990@qq.com.
Keith M KendrickThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 611731, China. k.kendrick.uestc@gmail.com.ORCID 0000-0002-0371-5904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, a number of clinical trials have reported effects of chronic treatment with intranasal oxytocin on autistic symptoms but with inconsistent findings. Autism is a heterogeneous disorder and one factor which may influence treatment outcome is whether a subtype of individuals is more sensitive to oxytocin. In a recent cross-over trial on 41 young autistic children we reported that 44% showed a reliable improvement in clinical symptoms (Autism Diagnostic Observation Schedule, ADOS-2) after a placebo-controlled, 6-week intranasal oxytocin intervention where treatment was given every other day followed by a period of positive social interaction. In the current re-assessment of the data, we used an unsupervised data-driven cluster analysis approach to identify autism subtypes using 23 different demographic, social subtype, endocrine, eye-tracking and clinical symptom measures taken before treatment and this revealed an optimum of two different subtypes. We then assessed the proportion of identified responders to oxytocin and found that while 61.5% of one subtype included responders only 13.3% of the other did so. During the placebo phase there was no difference between the two subtypes for the small proportion of responders (19.2% vs 6.7%). This oxytocin-sensitive subtype also showed overall significant post-treatment clinical and eye-tracking measure changes. The oxytocin-sensitive subtype was primarily characterized at baseline by lower initial clinical severity (ADOS-2) and greater interest in the eye-region of emotional faces. These features alone were nearly as efficient in identifying the two subtypes as all 23 baseline measures and this easy-to-conduct approach may help rapidly and objectively screen for oxytocin responders. Future clinical trials using oxytocin interventions may therefore achieve greater success by focusing on children with this specific autism subtype and help develop individualized oxytocin intervention.

Indexed as

Administration, IntranasalAutism Spectrum DisorderOxytocinChildChild, PreschoolCluster AnalysisCross-Over StudiesFemaleHumansMaleRandomized Controlled Trials as TopicTreatment OutcomeOxytocin

Identifiers

PMID39075076
PMCPMC11286945

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.