Differences in N-CAD Concentration and Brain Function Between Children With ASD and TD
A Study on the Differences in N-CAD Concentration and Brain Function Between Children With Autism Spectrum Disorder and Typically Developing Children
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
- Procedure. Children in ASD group and TD group will complete free physical measurement, blood routine and serum nutrient tests, neuropsychological assessment, and near-infrared brain functional imaging after signing up and giving informed consent. 3ml of peripheral blood was collected from the subjects, and the plasma was rapidly separated and frozen in a -80 ℃ refrigerator. The resting state of ASD and TD children was collected using fNIRS, and the ultra scan monitoring was performed simultaneously during Gesell assessment
- Demographic questionnaires and clinical data. The demographic questionnaire was completed by the child's primary caregiver, specifying the child's name, sex, and date of birth. Clinical data will be determined from medical records, including relevant dsm-5 diagnosis, disease classification, etc. The
- Sample size. The sample size was calculated by g*power 3.1. The paired t-test was used to set the effect size d=0.35, α =0.05 (two-sided) Power=0.9, Software calculation showed that 44 cases were needed in each group. Considering the group variability of children and the 10% dropout rate, 49 cases in each group (49 cases in ASD group and 49 cases in TD group) were finally included.
- Statistical analysis. ① NCAD: the R language 4.5.1 statistical software is used for data analysis. The measurement data conforming to the normal distribution adopts the mean ± standard deviation, and the paired sample t test is used for comparison between groups; The median (quartile) was used for non normally distributed measurement data, and Wilcoxon signed rank test was used for comparison between groups. ② Near infrared: nirspark software was used for data preprocessing, R language 4.5.1 statistical software was used for data analysis, Pearson correlation was used for correlation between channels, and generalized linear model (GLM) or mixed effects model was used for comparison between groups. Multiple linear regression model (adjusting for covariates such as age and gender) was used to explore the association between brain activation and DQ level in children with ASD.
- ethical issues and data protection. Patients participating in the study will sign an informed consent form. This study was approved by the local ethics committee. . Parents' authorization of patients' health information remained valid until the study was completed. After that, the researcher will delete the private information from the research record.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Li Chen, doctor
- Phone Number: +86 13677620103
- Email: chenli2012@126.com
Study Locations
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Chongqing Municipality
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Chongqing, Chongqing Municipality, China, 400014
- Recruiting
- Growth, Development and Mental health of Children and Adolescence Center
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Contact:
- Li Chen, doctor
- Phone Number: +86 (+86)136 7762 0103
- Email: chenli2012@126.com
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age at enrollment ≥ 3 years and <5 years;
- The diagnosis was made by 2 developmental behavioral pediatricians or child psychiatrists with vice senior titles or above, and the history and clinical manifestations were in line with ASD and ICD-11 diagnostic criteria for ASD; .
Exclusion Criteria:
- Diagnosis or manifestation of genetic diseases or syndromes related to ASD (such as Rett syndrome);
- Medical or nervous system diseases affecting growth, development or cognition (such as central nervous system infection, epilepsy, congenital heart disease, etc.);
- Sensory impairment such as vision or hearing loss;
- Low birth weight (birth weight <2000 g) or preterm birth (gestational age <37 weeks);
- Adopted children;
- Parents refused to sign the informed consent form;
- Other researchers consider it inappropriate to participate in the study.
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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ASD
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TD
Match children with ASD based on age and gender, with normal developmental levels (Gesell DQ ≥ 85).
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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N-CAD
Time Frame: Baseline
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NCAD concentration in peripheral blood: N-cadherin (NCAD) in peripheral blood is a calcium dependent cell adhesion molecule, which is mainly involved in cell-cell recognition and adhesion, and is commonly found in nerve tissue, muscle and vascular endothelium.
In peripheral blood, the content is very low under normal conditions, but if N-cadherin is detected to be increased, it may be related to tumor metastasis (such as breast cancer, prostate cancer and other epithelial mesenchymal transition), vascular endothelial injury or some neurological diseases.
It can be used as a potential biological marker of tumor invasion or vascular abnormalities, but its detection needs to be combined with other indicators to improve the accuracy.
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Baseline
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fNIRS
Time Frame: Baseline
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FNIRS (resting state + superscan): functional near infrared spectroscopy (fNIRS) is a noninvasive brain imaging method that detects hemodynamic changes in the cerebral cortex (such as oxygenated hemoglobin and deoxyhemoglobin concentrations) through near-infrared light, thereby indirectly reflecting neural activity.
Resting state fNIRS is used to study the spontaneous activity of the brain in the task-free state, and is often used to explore brain functional networks, disease markers (such as mental disorders or neurodegenerative diseases) and individual differences.
While fNIRS hyperscanning synchronously records the brain activity of multiple subjects (such as two people interacting), which is used to study the inter brain synchronization in social cognition, cooperation or competition, and reveal the interpersonal neural mechanism.
The combination of the two can expand the understanding of brain resting function and social interaction, and is suitable for psychology, neuroscience a
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Baseline
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: Li Chen, doctor, Children's Hospital of Chongqing Medical University
Publications and helpful links
General Publications
- Ferrari M, Quaresima V. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. Neuroimage. 2012 Nov 1;63(2):921-35. doi: 10.1016/j.neuroimage.2012.03.049. Epub 2012 Mar 28.
- Harrison OJ, Jin X, Hong S, Bahna F, Ahlsen G, Brasch J, Wu Y, Vendome J, Felsovalyi K, Hampton CM, Troyanovsky RB, Ben-Shaul A, Frank J, Troyanovsky SM, Shapiro L, Honig B. The extracellular architecture of adherens junctions revealed by crystal structures of type I cadherins. Structure. 2011 Feb 9;19(2):244-56. doi: 10.1016/j.str.2010.11.016.
- Jobsis FF. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science. 1977 Dec 23;198(4323):1264-7. doi: 10.1126/science.929199.
- Liu D, Cao H, Kural KC, Fang Q, Zhang F. Integrative analysis of shared genetic pathogenesis by autism spectrum disorder and obsessive-compulsive disorder. Biosci Rep. 2019 Dec 20;39(12):BSR20191942. doi: 10.1042/BSR20191942.
- Christensen DL, Baio J, Van Naarden Braun K, Bilder D, Charles J, Constantino JN, Daniels J, Durkin MS, Fitzgerald RT, Kurzius-Spencer M, Lee LC, Pettygrove S, Robinson C, Schulz E, Wells C, Wingate MS, Zahorodny W, Yeargin-Allsopp M; Centers for Disease Control and Prevention (CDC). Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years--Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012. MMWR Surveill Summ. 2016 Apr 1;65(3):1-23. doi: 10.15585/mmwr.ss6503a1.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- DNCBFBCASDTDC
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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