Evidence map›Paper›PMID 26400627›Full record

ArticleBMC immunology2015

The imbalance between Tregs, Th17 cells and inflammatory cytokines among renal transplant recipients.

Liang Ma, Huimao Zhang, Kebang Hu, Guoyue Lv, Yaowen Fu, Desalegn Admassu Ayana, Pingwei Zhao, Yanfang Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

43 citing papers in PubMed, 76 citations in OpenAlex.

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  16. Analysis of T-cell alloantigen responseFrontiers in immunology · 2023
    Article
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  19. CD4Frontiers in immunology · 2022
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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

8 authors at 3 institutions in 2 countries.

Liang MaGenetic Diagnosis Center, The First Hospital of Jilin University, Changchun, 130021, China. maliang212@126.com.
Huimao ZhangGenetic Diagnosis Center, The First Hospital of Jilin University, Changchun, 130021, China. huimaozhanglinda@163.com.
Kebang HuDepartment of Nephrology, The First Hospital of Jilin University, Changchun, 130021, China. 275532795@qq.com.
Guoyue LvGenetic Diagnosis Center, The First Hospital of Jilin University, Changchun, 130021, China. Lgy08@sina.com.
Yaowen FuDepartment of Nephrology, The First Hospital of Jilin University, Changchun, 130021, China. fuyaowen@medmail.com.cn.
Desalegn Admassu AyanaDepartment of Medical Laboratory Sciences, Haramaya University, Haramaya, Ethiopia. desadmassu@gmail.com.
Pingwei ZhaoGenetic Diagnosis Center, The First Hospital of Jilin University, Changchun, 130021, China. zhaopingwei@sohu.com.
Yanfang JiangGenetic Diagnosis Center, The First Hospital of Jilin University, Changchun, 130021, China. yanfangjiang@hotmail.com.
First Hospital of Jilin University · CNJilin University · CNHaramaya University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA significant barrier to organ transplantation is the cellular rejection that occurs and mediated by antibodies, T cells, and innate immune cells. This study was aimed to determine the number of CD4(+)CD25(+)Foxp3(+) Treg, CD4(+)IFN-γ(-)IL-17(+) Th17, CD4(+)IFN-γ(+)IL-17(-) Th1 and CD4(+)IFN-γ(+)IL-17(+) Th1/17 cells in renal transplant recipients (RTR).

methodsRenal transplantation was performed for a total of 35 patients with end-stage renal failure. The number of CD4(+)CD25(+)Foxp3(+) Treg, CD4(+)IFN-γ(-)IL-17(+) Th17, CD4(+)IFN-γ(+)IL-17(-) Th1 and CD4(+)IFN-γ(+)IL-17(+) Th1/17 cells, and the serum level of IFN-γ, TNF-α, IL-2, IL-4, IL-6, IL-10, and IL-17 were measured in pre- and post-transplant patients and 10 healthy controls (HC) using flow cytometry and Cytometric Bead Array (CBA). The association between the number of different subsets of CD4(+) T-cells and clinical parameters were analyzed among the pre- and post-transplant patients, and the healthy controls.

resultsThe number of CD4(+)IFN-γ(-)IL-17(+) Th17, CD4(+)IFN-γ(+)IL-17(-) Th1 and CD4(+)IFN-γ(+)IL-17(+) Th1/17 cells were significantly increased in patients with End-Stage Renal Failure (ESRF) compared to the HC. Stratification analysis indicated that AMR (Acute antibody mediated acute rejection), AR (acute rejection) and CR (chronic rejection) groups displayed greater number of CD4(+)IFN-γ(-)IL-17(+) Th17, CD4(+)IFN-γ(+)IL-17(-) Th1 and CD4(+)IFN-γ(+)IL-17(+) Th1/17 cells as well as high level of serum IL-2, IFN-γ, TNF-α and IL-17. But, the AMR, AR and CR groups have shown lower level of CD4(+)CD25(+)Foxp3(+) T cells and serum IL-10 compared to transplant stable (TS) patients. Moreover, the number of Tregs were negatively correlated with the number of Th17 cells in RTR patients. The number of Tregs and Th17 cells were positively correlated with the eGFR and serum creatinine values, respectively.

conclusionThe imbalance between different types of CD4(+) T cells and dysregulated inflammatory cytokines may contribute towards renal transplantation rejection.

Indexed as

Kidney TransplantationTransplant RecipientsAdultBiomarkersCytokinesFemaleGraft RejectionHumansImmunophenotypingInflammation MediatorsKidney Function TestsLymphocyte CountMaleMiddle AgedTh17 CellsT-Lymphocytes, RegulatoryBiomarkersCytokinesInflammation Mediators

Identifiers

PMID26400627
PMCPMC4581081
OpenAlexW1895726885

What OpenQuestion holds

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LicenceCC BY
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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.