Evidence map›Paper›PMID 41550938›Full record

ReviewFrontiers in immunology2025

The application of genetic testing technology in kidney transplantation: precision matching, non-invasive monitoring and personalized management.

Yalong Zhang, Hao Wang, Rui Yan, Kangyu Wang, Jiangwei Man, Li Yang

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yalong Zhang *Department of Urology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
Hao Wang *Department of Urology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
Rui Yan *Department of Urology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
Kangyu WangDepartment of Urology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
Jiangwei ManDepartment of Urology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.
Li YangDepartment of Urology, The Second Hospital and Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kidney transplantation remains the treatment of choice for patients with end-stage renal disease, yet its long-term success continues to face major challenges, including organ shortage, rejection, and drug toxicity. With the advancement of genetic testing technologies, transplant management is progressively shifting from empirical practice toward precision medicine. This review systematically outlines four core applications of genetic testing in kidney transplantation: from pre-transplant precision donor-recipient matching and risk stratification, to peri-operative pharmacogenomics-guided immunosuppression, and finally post-transplant noninvasive rejection monitoring and infection management. By integrating high-resolution HLA typing, epitope mismatch analysis, donor-derived cell-free DNA monitoring, urinary biomarker detection, genotyping of drug-metabolizing genes such as CYP3A5, and assessment of host susceptibility variants, genetic technologies have significantly improved transplant outcomes. Despite persistent challenges in standardization, clinical translation, and ethical considerations, emerging innovations including microfluidics, nanopore sequencing, and organoid modeling are expected to further accelerate the transition of kidney transplantation into a new era of comprehensive precision management.

Indexed as

Genetic TestingGraft RejectionKidney TransplantationPrecision MedicineHistocompatibility TestingHumansdonor-derived cell-free DNAgenetic testingHLA typinginfection risk predictionkidney transplantationpharmacogenomicsprecision medicinerejection monitoring

Identifiers

PMID41550938
PMCPMC12807975

What Socratic 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 Socratic graph.