Evidence map›Paper›PMID 28348563›Full record

ArticleFrontiers in immunology2017

Perturbations of Monocyte Subsets and Their Association with T Helper Cell Differentiation in Acute and Chronic HIV-1-Infected Patients.

Peng Chen, Bin Su, Tong Zhang, Xiaojing Zhu, Wei Xia, Yan Fu, Guoxian Zhao, Huan Xia, Lili Dai, Lijun Sun and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  6. Type-2 immune skewing in patients with disseminated coccidioidomycosis.medRxiv : the preprint server for health sciences · 2025
    Article
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  14. Innate-immune cell distribution in pediatric HIV patients and uninfected controls.Revista do Instituto de Medicina Tropical de Sao Paulo · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Peng ChenCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Bin SuCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Tong ZhangCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Xiaojing ZhuCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Wei XiaCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University , Beijing , China.
Yan FuCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University , Beijing , China.
Guoxian ZhaoCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Huan XiaCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Lili DaiCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University , Beijing , China.
Lijun SunCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University , Beijing , China.
Lifeng LiuCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Hao WuCenter for Infectious Diseases, Beijing You'an Hospital, Capital Medical University, Beijing, China; Beijing Key Laboratory for HIV/AIDS Research, Beijing, China.
Beijing YouAn Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monocytes have been recently subdivided into three subsets: classical (CD14++CD16-), intermediate (CD14++CD16+), and non-classical (CD14+CD16++) subsets, but phenotypic and functional abnormalities of the three monocyte subsets in HIV-1 infection have not been fully characterized, especially in acute HIV-1 infection (AHI). In the study, we explored the dynamic changes of monocyte subsets and their surface markers, and the association between monocyte subsets and the IFN-γ, interleukin (IL)-4, IL-17, and TNF-α producing CD4+ T cells in acute and chronic HIV-1-infected patients. We found that, in the acute HIV-1-infected individuals, the frequency of the intermediate CD14++CD16+ monocyte subsets, the CD163 density and HLA-DR density on intermediate CD14++CD16+ monocytes, and plasma soluble form of CD163 (sCD163) were significantly higher than that in healthy controls. Intermediate CD14++CD16+ monocyte subsets and their HLA-DR expression levels were inversely correlated with the CD4+ T cell counts, and the intermediate CD14++CD16+ monocytes were positively correlated with plasma sCD163. In contrast to the non-classical CD14+CD16++ and classical CD14++CD16- monocyte subsets, the frequency of the intermediate CD14++CD16+ monocytes was positively associated with the frequency of IFN-γ and IL-4 producing CD4+ T cells in HIV-1-infected patients. Taken together, our observations provide new insight into the roles of the monocyte subsets in HIV pathogenesis, particularly during AHI, and our findings may be helpful for the treatment of HIV-related immune activation.

Indexed as

acute HIV-1 infectionCD163immune activationmonocyte subsetsT helper cells

Identifiers

PMID28348563
PMCPMC5347116
OpenAlexW2596197115

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.