Evidence map›Paper›PMID 41189702›Full record

ReviewJournal of inflammation research2025

Immune Landscape in Kidney Transplantation.

Di Niu, Ruifang Chen, Xinxin Pang

Abstract readReview
In one paragraph

Review in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

3 authors.

Di NiuThe Second Clinical Medical College, Henan University of Traditional Chinese Medicine, Zhengzhou, People's Republic of China.
Ruifang ChenThe Second Clinical Medical College, Henan University of Traditional Chinese Medicine, Zhengzhou, People's Republic of China.
Xinxin PangDepartment of Nephrology, Henan Province Hospital of Traditional Chinese Medicine (The Second Affiliated Hospital of Henan University of Traditional Chinese Medicine), Zhengzhou, People's Republic of China.ORCID 0000-0001-7941-4860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplantation is the optimal treatment for end-stage renal failure patients. However, its long-term survival rate remains relatively low, with immune rejection being a crucial risk factor. In recent years, notable progress has been made in the study of the immune regulation network in kidney transplantation. The key roles and molecular mechanisms of diverse immune cells in rejection have been gradually clarified. Innate immune components (such as neutrophils, macrophages, natural killer cells, etc.) activate inflammatory signals via pattern recognition receptors and collaborate with the complement system and platelets to mediate early graft damage. In adaptive immunity, T/B cell subsets drive donor-specific immune responses through direct/indirect recognition pathways, forming the core effector mechanism of immune rejection. We retrieved relevant articles from databases such as PubMed and Web of Science using keywords including "kidney transplantation" and "immunity", focusing on the most recent research published in the past decade. Articles were screened and evaluated based on high scientific standards regarding research quality and relevance. This review centers on the dynamic interaction network between innate and adaptive immunity after kidney transplantation. It systematically elaborates the roles of various immune cell subsets throughout the rejection process and further explores the application prospects of xenogeneic kidney transplantation, immune monitoring techniques, and precision individualized immunotherapy, all with the aim of exploring new directions for future kidney transplantation immunology research.

Indexed as

alloimmune responseimmune cellsimmune rejectionkidney transplantation

Identifiers

PMID41189702
PMCPMC12581792

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.