Basic & Clinical Medicine ›› 2016, Vol. 36 ›› Issue (7): 941-945.

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Identification of serological autoantibody for multiple sclerosis using proteome array

  

  • Received:2016-04-28 Revised:2016-05-23 Online:2016-07-05 Published:2016-06-22

Abstract: Objective To identify some new autoantibodies, as the assistant serum diagnostic indicator for multiple sclerosis (MS)Methods The experimental samples were consisted of two groups: MS patients group and health control(HC) group, each group contains 15 samples. For proteome array detection, both groups were separated into 3 smaller groups randomly and the sera of each smaller group would be mixed sufficiently before using. Results After comparing with HC group,have identified 27 kinds of autoantibodies, among which the NOL3, SLC16A4 and DTX1targeted autoantibodies have a higher positive rate. The total of autoantibodiesdetected from MS group are much more than HC group. The functional cluster analysis indicated that the autoantibodies are mainly targeting the neuron associated proteins.Conclusions The study indicated that the high-throughput proteome array is highly suitable for the discovering of autoantibodies in serum. The result has certain guidance over our further research.

Key words: Key words:multiple sclerosis, proteome array, autoantibody

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