Cargando…
The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression
BACKGROUND: Chemokines are small chemotactic cytokines involved in inflammation, cell migration, and immune regulation in both physiological and pathological contexts. Here, we investigated the profile of chemokines during primary HIV infection (PHI). METHODS: Fifty-four participants with blood samp...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909626/ https://www.ncbi.nlm.nih.gov/pubmed/31836011 http://dx.doi.org/10.1186/s12967-019-02172-3 |
_version_ | 1783478983077134336 |
---|---|
author | Yin, Xiaowan Wang, Zhuo Wu, Tong Ma, Meichen Zhang, Zining Chu, Zhenxing Hu, Qinghai Ding, Haibo Han, Xiaoxu Xu, Junjie Shang, Hong Jiang, Yongjun |
author_facet | Yin, Xiaowan Wang, Zhuo Wu, Tong Ma, Meichen Zhang, Zining Chu, Zhenxing Hu, Qinghai Ding, Haibo Han, Xiaoxu Xu, Junjie Shang, Hong Jiang, Yongjun |
author_sort | Yin, Xiaowan |
collection | PubMed |
description | BACKGROUND: Chemokines are small chemotactic cytokines involved in inflammation, cell migration, and immune regulation in both physiological and pathological contexts. Here, we investigated the profile of chemokines during primary HIV infection (PHI). METHODS: Fifty-four participants with blood samples before and during HIV infection and clinical information available were selected from an HIV-negative man who have sex with men (MSM) prospective cohort. Thirty chemokines and 10 cytokines were measured pre- and post-HIV infection in the same individuals using a Bio-Plex Pro™ Human Chemokine Panel. RESULTS: Levels of 18 chemokines/cytokines changed significantly during PHI relative to pre-HIV infection levels; 14 were up-regulated and 4 down-regulated. Among them, CXCL9, CXCL10, and CXCL11 were the most prominently raised. Levels of CXCL9 and CXCL10 were much higher in the high-set point group (log viral load (lgVL) ≥ 4.5) than those in the low-set point group (lgVL < 4.5) and levels of CXCL9, CXCL10, and CXCL11 were higher in the low-CD4(+) T-cell count group (CD4(+) T-cell count ≥ 500). A formula to predict HIV disease progression using a combination panel comprising CXCL9, CXCL10, and CXCL11 was developed, where risk score = 0.007 × CXCL9 + 0.004 × CXCL10 − 0.033 × CXCL11 − 1.724, with risk score values higher than the cutoff threshold (0.5211) indicating more rapid HIV disease progression. CONCLUSIONS: A panel of plasma CXCL9, CXCL10, and CXCL11 measured during primary HIV-1 infection could predict long-term HIV disease prognosis in an MSM group and has potential as a novel biomarker in the clinic. |
format | Online Article Text |
id | pubmed-6909626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69096262019-12-30 The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression Yin, Xiaowan Wang, Zhuo Wu, Tong Ma, Meichen Zhang, Zining Chu, Zhenxing Hu, Qinghai Ding, Haibo Han, Xiaoxu Xu, Junjie Shang, Hong Jiang, Yongjun J Transl Med Research BACKGROUND: Chemokines are small chemotactic cytokines involved in inflammation, cell migration, and immune regulation in both physiological and pathological contexts. Here, we investigated the profile of chemokines during primary HIV infection (PHI). METHODS: Fifty-four participants with blood samples before and during HIV infection and clinical information available were selected from an HIV-negative man who have sex with men (MSM) prospective cohort. Thirty chemokines and 10 cytokines were measured pre- and post-HIV infection in the same individuals using a Bio-Plex Pro™ Human Chemokine Panel. RESULTS: Levels of 18 chemokines/cytokines changed significantly during PHI relative to pre-HIV infection levels; 14 were up-regulated and 4 down-regulated. Among them, CXCL9, CXCL10, and CXCL11 were the most prominently raised. Levels of CXCL9 and CXCL10 were much higher in the high-set point group (log viral load (lgVL) ≥ 4.5) than those in the low-set point group (lgVL < 4.5) and levels of CXCL9, CXCL10, and CXCL11 were higher in the low-CD4(+) T-cell count group (CD4(+) T-cell count ≥ 500). A formula to predict HIV disease progression using a combination panel comprising CXCL9, CXCL10, and CXCL11 was developed, where risk score = 0.007 × CXCL9 + 0.004 × CXCL10 − 0.033 × CXCL11 − 1.724, with risk score values higher than the cutoff threshold (0.5211) indicating more rapid HIV disease progression. CONCLUSIONS: A panel of plasma CXCL9, CXCL10, and CXCL11 measured during primary HIV-1 infection could predict long-term HIV disease prognosis in an MSM group and has potential as a novel biomarker in the clinic. BioMed Central 2019-12-13 /pmc/articles/PMC6909626/ /pubmed/31836011 http://dx.doi.org/10.1186/s12967-019-02172-3 Text en © The Author(s) 2019 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yin, Xiaowan Wang, Zhuo Wu, Tong Ma, Meichen Zhang, Zining Chu, Zhenxing Hu, Qinghai Ding, Haibo Han, Xiaoxu Xu, Junjie Shang, Hong Jiang, Yongjun The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression |
title | The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression |
title_full | The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression |
title_fullStr | The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression |
title_full_unstemmed | The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression |
title_short | The combination of CXCL9, CXCL10 and CXCL11 levels during primary HIV infection predicts HIV disease progression |
title_sort | combination of cxcl9, cxcl10 and cxcl11 levels during primary hiv infection predicts hiv disease progression |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6909626/ https://www.ncbi.nlm.nih.gov/pubmed/31836011 http://dx.doi.org/10.1186/s12967-019-02172-3 |
work_keys_str_mv | AT yinxiaowan thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT wangzhuo thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT wutong thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT mameichen thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT zhangzining thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT chuzhenxing thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT huqinghai thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT dinghaibo thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT hanxiaoxu thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT xujunjie thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT shanghong thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT jiangyongjun thecombinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT yinxiaowan combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT wangzhuo combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT wutong combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT mameichen combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT zhangzining combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT chuzhenxing combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT huqinghai combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT dinghaibo combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT hanxiaoxu combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT xujunjie combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT shanghong combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression AT jiangyongjun combinationofcxcl9cxcl10andcxcl11levelsduringprimaryhivinfectionpredictshivdiseaseprogression |