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A comparison between children and adolescents with autism spectrum disorders and healthy controls in biomedical factors, trace elements, and microbiota biomarkers: a meta-analysis.
Lin, Ping; Zhang, Qianwen; Sun, Junyu; Li, Qingtian; Li, Dan; Zhu, Mengyuan; Fu, Xiaomei; Zhao, Ling; Wang, Mengxia; Lou, Xiaoyan; Chen, Qing; Liang, Kangyi; Zhu, Yuxin; Qu, Caiwei; Li, Zhenhua; Ma, Peijun; Wang, Renyu; Liu, Huafen; Dong, Ke; Guo, Xiaokui; Cheng, Xunjia; Sun, Yang; Sun, Jing.
Affiliation
  • Lin P; Department of Medical Microbiology and Parasitology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
  • Zhang Q; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Sun J; Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.
  • Li Q; Hangzhou Calibra Diagnostics, Hangzhou, China.
  • Li D; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
  • Zhu M; College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Fu X; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhao L; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wang M; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Lou X; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Chen Q; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Liang K; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhu Y; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Qu C; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Li Z; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ma P; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Wang R; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Liu H; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Dong K; Department of Clinical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Guo X; Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.
  • Cheng X; Hangzhou Calibra Diagnostics, Hangzhou, China.
  • Sun Y; Institute for Global Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Sun J; Institute for Global Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Front Psychiatry ; 14: 1318637, 2023.
Article in En | MEDLINE | ID: mdl-38283894
ABSTRACT

Introduction:

Autism spectrum disorder (ASD) is a multifaceted developmental condition that commonly appears during early childhood. The etiology of ASD remains multifactorial and not yet fully understood. The identification of biomarkers may provide insights into the underlying mechanisms and pathophysiology of the disorder. The present study aimed to explore the causes of ASD by investigating the key biomedical markers, trace elements, and microbiota factors between children with autism spectrum disorder (ASD) and control subjects.

Methods:

Medline, PubMed, ProQuest, EMBASE, Cochrane Library, PsycINFO, Web of Science, and EMBSCO databases have been searched for publications from 2012 to 2023 with no language restrictions using the population, intervention, control, and outcome (PICO) approach. Keywords including "autism spectrum disorder," "oxytocin," "GABA," "Serotonin," "CRP," "IL-6," "Fe," "Zn," "Cu," and "gut microbiota" were used for the search. The Joanna Briggs Institute (JBI) critical appraisal checklist was used to assess the article quality, and a random model was used to assess the mean difference and standardized difference between ASD and the control group in all biomedical markers, trace elements, and microbiota factors.

Results:

From 76,217 records, 43 studies met the inclusion and exclusion criteria and were included in this meta-analysis. The pooled analyses showed that children with ASD had significantly lower levels of oxytocin (mean differences, MD = -45.691, 95% confidence interval, CI -61.667, -29.717), iron (MD = -3.203, 95% CI -4.891, -1.514), and zinc (MD = -6.707, 95% CI -12.691, -0.722), lower relative abundance of Bifidobacterium (MD = -1.321, 95% CI -2.403, -0.238) and Parabacteroides (MD = -0.081, 95% CI -0.148, -0.013), higher levels of c-reactive protein, CRP (MD = 0.401, 95% CI 0.036, 0.772), and GABA (MD = 0.115, 95% CI 0.045, 0.186), and higher relative abundance of Bacteroides (MD = 1.386, 95% CI 0.717, 2.055) and Clostridium (MD = 0.281, 95% CI 0.035, 0.526) when compared with controls. The results of the overall analyses were stable after performing the sensitivity analyses. Additionally, no substantial publication bias was observed among the studies.

Interpretation:

Children with ASD have significantly higher levels of CRP and GABA, lower levels of oxytocin, iron, and zinc, lower relative abundance of Bifidobacterium and Parabacteroides, and higher relative abundance of Faecalibacterium, Bacteroides, and Clostridium when compared with controls. These results suggest that these indicators may be a potential biomarker panel for the diagnosis or determining therapeutic targets of ASD. Furthermore, large, sample-based, and randomized controlled trials are needed to confirm these results.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies / Systematic_reviews Language: En Journal: Front Psychiatry Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Prognostic_studies / Systematic_reviews Language: En Journal: Front Psychiatry Year: 2023 Document type: Article Affiliation country: China
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