| Title |
Establishment and evaluation of a general dissociation technique for antibodies in circulating immune complexes
|
|---|---|
| Published in |
Clinical and Experimental Medicine, August 2018
|
| DOI | 10.1007/s10238-018-0523-4 |
| Pubmed ID | |
| Authors |
Tong Wang, Meng Zhang, Huajun Zhou, Dawei Cui, Xujian Xu, Changgui Sun, Yuzhu Dai, Jun Cheng |
| Abstract |
This study aimed to establish a general and efficient dissociation technique for detecting antibodies in circulating immune complexes (CICs) in serum and to evaluate its clinical application. CICs were efficiently separated from specimens using polyethylene glycol double-precipitation. The best conditions for anti-HBs dissociation from HBsAg-ICs were a pH of 1.80, incubation at 15 °C for 5-10 min, and detection within 10 min after neutralization. The mean dissociation rate, reproducibility, mean dissociation recovery rate and specificity of the new technique were 64.3%, < 5.97, 95.4 and 100%, respectively. They had a favourable linear relationship (r = 0.9932), and the stability of the reagents exceeded 24 months, except the CIC antibody dissociation reagent (> 12 months). Conditions for the dissociation of other CICs tested were similar, but there were differences in the rate of antibody dissociation. Different HBV-M patterns had significantly different levels and rates of antibody dissociation from HBsAg-IC (P < 0.05), and the detection rates of the corresponding antibodies in HCV, core-anti-HCV core antibody (HCV-ICs), HIV P24-anti-HIV P24 antibody (HIV-ICs), insulin-anti-insulin antibody (INS-ICs) and thyroid globulin-anti-thyroid globulin antibody CICs (TG-ICs) were 34.8, 66.7, 20 and 14.3%, respectively. These data suggest that our CIC antibody dissociation technique is a good general pretreatment technique for the detection of antibodies after the precipitation, separation and dissociation of multiple CICs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 29% |
| Student > Ph. D. Student | 4 | 19% |
| Student > Doctoral Student | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 29% |
| Agricultural and Biological Sciences | 3 | 14% |
| Immunology and Microbiology | 3 | 14% |
| Medicine and Dentistry | 2 | 10% |
| Computer Science | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 September 2018.
All research outputs
#19,246,640
of 23,849,058 outputs
Outputs from Clinical and Experimental Medicine
#255
of 510 outputs
Outputs of similar age
#258,610
of 334,887 outputs
Outputs of similar age from Clinical and Experimental Medicine
#6
of 8 outputs
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