| Title |
Redox proteomic identification of carbonylated proteins in autism plasma: insight into oxidative stress and its related biomarkers in autism
|
|---|---|
| Published in |
Clinical Proteomics, January 2017
|
| DOI | 10.1186/s12014-017-9138-0 |
| Pubmed ID | |
| Authors |
Chengyun Feng, Youjiao Chen, Jintao Pan, Aochu Yang, Li Niu, Jie Min, Xianling Meng, Liping Liao, Kaoyuan Zhang, Liming Shen |
| Abstract |
Autism is a severe childhood neurological disorder with poorly understood etiology and pathology. Currently, there is no authentic laboratory test to confirm the diagnosis of autism. Oxidative damage may play a central role in the pathogenesis of autism. Present study is an effort to search for possible biomarkers of autism and further clarify the molecular changes associated with oxidative stress that occurs in the plasma of autistic children. We performed redox proteomics analysis to compare carbonylated proteins in the plasma of autistic subjects and healthy controls. Immunoprecipitation and Western blot analysis were used to validate carbonylated proteins identified by the redox proteomics. Protein carbonylation levels in two proteins, complement component C8 alpha chain and Ig kappa chain C were found to be significantly increased in autistic patients compared with controls. These two proteins were successfully validated via immunoprecipitation and Western blot analysis. The results further highlight the role of oxidative stress in the pathogenesis of autism and provide some information for the diagnosis and/or monitoring of autism. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 21% |
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 5 | 12% |
| Student > Postgraduate | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 16% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Neuroscience | 4 | 9% |
| Agricultural and Biological Sciences | 4 | 9% |
| Psychology | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2017.
All research outputs
#15,703,217
of 25,654,806 outputs
Outputs from Clinical Proteomics
#163
of 341 outputs
Outputs of similar age
#233,783
of 424,478 outputs
Outputs of similar age from Clinical Proteomics
#5
of 8 outputs
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