Evidence map›Paper›PMID 21655928›Full record

ArticleInternal and emergency medicine2013

Levels of HTNV-specific CD8+ T lymphocytes in PBMC from the patients with hemorrhagic fever with renal syndrome.

Ming Xie, Yanying Dong, Yan Zhou, Huixun Ren, Yuqiang Ji, Shemin Lv

Abstract read
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In one paragraph

Article in Internal and emergency medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. In Vitro Evaluation of Bunyavirus T Cell Immunity.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Hemorrhagic Fever with Renal Syndrome: Pathogenesis and Clinical Picture.Frontiers in cellular and infection microbiology · 2016
    Review
  11. Article
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

6 authors at 1 institution in 1 country.

Ming XieDepartment of Pathogenic Microbiology and Immunology, Medical School of Xi'an Jiaotong University, Xi'an, 710061, China. xieming@mail.xjtu.edu.cn
Yanying Dong
Yan Zhou
Huixun Ren
Yuqiang Ji
Shemin Lv
Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of hemorrhagic fever with renal syndrome (HFRS) has not been fully clarified. Cell-mediated immunity appears to play a crucial role in the immune pathogenesis of HFRS. To explore the relationship between Hantaan (HTNV)-specific CD8(+) T lymphocytes and the immune pathogenesis of HFRS, the levels of interferon γ (IFN-γ) secreted by HTNV-specific CD8(+) T lymphocytes were detected by flow cytometry in peripheral blood mononuclear cells. Levels of HTNV-specific CD8(+) T lymphocytes in patients with HFRS were associated with different phases of HFRS. In fever phase, it was significantly elevated. The levels of HTNV-specific CD8(+) T lymphocytes in PBMC of patients with HFRS were negatively correlated with the levels of blood urea nitrogen and creatinine in plasma. The results show that the HTNV-specific CD8(+) T lymphocyte levels correlate with disease phases. Therefore, dynamic observation of these levels in patients with HFRS can help to judge the status of HFRS disease and to clarify the immune pathogenesis of HFRS.

Indexed as

Hantaan virusAdultAgedCD8-Positive T-LymphocytesFemaleHemorrhagic Fever with Renal SyndromeHumansInterferon-gammaMaleMiddle AgedYoung AdultIFNG protein, humanInterferon-gamma

Identifiers

PMID21655928
OpenAlexW2061321795

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.