Evidence map›Paper›PMID 35058922›Full record

ArticleFrontiers in immunology2021

Diagnostic Biomarkers and Immune Infiltration in Patients With T Cell-Mediated Rejection After Kidney Transplantation.

Hai Zhou, Hongcheng Lu, Li Sun, Zijie Wang, Ming Zheng, Zhou Hang, Dongliang Zhang, Ruoyun Tan, Min Gu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Deciphering the Complexity of the Immune Cell Landscape in Kidney Allograft Rejection.Transplant international : official journal of the European Society for Organ Transplantation · 2024
    Review
  7. Identification of Immune-Related Genes as Biomarkers for Uremia.International journal of general medicine · 2023
    Article
  8. Article
  9. 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

9 authors at 2 institutions in 1 country.

Hai ZhouDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hongcheng LuDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Li SunDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zijie WangDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ming ZhengDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhou HangDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Dongliang ZhangDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ruoyun TanDepartment of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Min GuDepartment of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNSecond Affiliated Hospital of Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T cell-mediated rejection (TCMR) is an important rejection type in kidney transplantation, characterized by T cells and macrophages infiltration. The application of bioinformatic analysis in genomic research has been widely used. In the present study, Microarray data was analyzed to identify the potential diagnostic markers of TCMR in kidney transplantation. Cell-type identification by estimating relative subsets of RNA transcript (CIBERSORT) was performed to determine the distribution of immune cell infiltration in the pathology. Totally 129 upregulated differently expressed genes (DEGs) and 378 downregulated DEGs were identified. The GO and KEGG results demonstrated that DEGs were mainly associated with pathways and diseases involved in immune response. The intersection of the two algorithms (PPI network and LASSO) contains three overlapping genes (CXCR6, CXCL13 and FCGR1A). After verification in GSE69677, only CXCR6 and CXCL13 were selected. Immune cells Infiltration analysis demonstrated that CXCR6 and CXCL13 were positively correlated with gamma delta T cells (

Indexed as

Databases, Nucleic AcidGraft RejectionKidneyKidney TransplantationBiomarkersFemaleGene Expression RegulationHumansImmunity, CellularMaleT-LymphocytesBiomarkersbioinformatic analysisdiagnostic biomarkersimmune infiltrationkidney transplantationT cell-mediated rejection

Identifiers

PMID35058922
PMCPMC8764245
OpenAlexW4205884389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.