Title |
Serum proteomic profiling for autism using magnetic bead-assisted matrix-assisted laser desorption ionization time-of-flight mass spectrometry: a pilot study
|
---|---|
Published in |
World Journal of Pediatrics, January 2018
|
DOI | 10.1007/s12519-017-0102-x |
Pubmed ID | |
Authors |
Yan-Ni Chen, Hui-Ying Du, Zhuo-Yue Shi, Li He, Yu-Ying He, Duan Wang |
Abstract |
The pathogenesis of autism spectrum disorders remains elusive and currently there are no diagnostic or predictive biomarkers in autism available. Proteomic profiling has been used in a wide range of neurodevelopmental disorder studies, which could produce deeper perceptions of the molecular bases behind certain disease and potentially becomes useful in discovering biomarkers in autism spectrum disorders. Serum samples were collected from autistic children about 3 years old in age (n = 32) and healthy controls (n = 20) in similar age and gender. The samples were identified specific proteins that are differentially expressed by magnetic bead-based pre-fractionation and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-ToF-MS). Eight protein peaks were significantly different in autistic children from the healthy controls (P < 0.0001). The two peaks with the most significant differences were 6428 and 7758 Da in size. According to differences in serum protein profiles between the autistic children and healthy controls, this study identified a set of differentially expressed proteins those are significant for further evaluation and might function as biomarkers in autism. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 20% |
Student > Bachelor | 5 | 17% |
Student > Ph. D. Student | 4 | 13% |
Student > Postgraduate | 4 | 13% |
Researcher | 2 | 7% |
Other | 1 | 3% |
Unknown | 8 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 4 | 13% |
Neuroscience | 4 | 13% |
Biochemistry, Genetics and Molecular Biology | 3 | 10% |
Agricultural and Biological Sciences | 3 | 10% |
Medicine and Dentistry | 2 | 7% |
Other | 5 | 17% |
Unknown | 9 | 30% |