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Identifiable biomarker and treatment development using HIV-1 long term non-progressor sera

Overview of attention for article published in BMC Immunology, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 586)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

20 tweeters
1 Facebook page


1 Dimensions

Readers on

13 Mendeley
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Identifiable biomarker and treatment development using HIV-1 long term non-progressor sera
Published in
BMC Immunology, April 2015
DOI 10.1186/s12865-015-0094-z
Pubmed ID

Yuxia Hao, Ge Bai, Junping Wang, Longfeng Zhao, Kyle Sutherland, Jianfeng Cai, Chuanhai Cao


HIV-infected long-term non-progressor (LTNP) subjects can prevent viral replication and may harbor useful information for the development of both antibody and active vaccination treatments. In this study we used LTNP sera to examine the epitopes presented to the gp160 protein, and from this procedure we hope to elucidate potential biomarkers pertaining to the level of resistance a patient may have in developing AIDS after infection with HIV. We used five clinical sera samples from LTNP patients to identify common epitopes by ELISA; peptides with high binding to sera were selected and analyzed for conservation among HIV clades. Antibodies were generated against one identified epitope using a chimeric peptide in BALB/c mice, and both the sera from these mice and LTNP sera were tested for viral inhibition capabilities. A monoclonal antibody, CL3, against one identified epitope was used to compare these epitopes neutralizing capability. LTNP sera was also studied to determine chemokine/cytokine changes in these patients. The sera from LTNP patients 2, 3, 4, and 5 were identified as having the highest titers, and also significantly inhibited syncytia formation in vitro. Finally, the protein cytokine array demonstrated that I-309 and IGFBP-1 decreased in LTNPs, but levels of TIMP-1 and NAP-2 increased significantly. Our results indicate that the use of LTNP samples may be a useful for identifying further anti-viral epitopes, and may be a possible predictor for determining if patients show higher resistances of converting the HIV infection to AIDS.

Twitter Demographics

The data shown below were collected from the profiles of 20 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 38%
Unspecified 2 15%
Student > Ph. D. Student 2 15%
Researcher 2 15%
Professor 1 8%
Other 1 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 31%
Medicine and Dentistry 4 31%
Unspecified 2 15%
Agricultural and Biological Sciences 1 8%
Immunology and Microbiology 1 8%
Other 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 18 March 2022.
All research outputs
of 22,568,248 outputs
Outputs from BMC Immunology
of 586 outputs
Outputs of similar age
of 246,504 outputs
Outputs of similar age from BMC Immunology
of 1 outputs
Altmetric has tracked 22,568,248 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 586 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 246,504 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them