Evidence map›Paper›PMID 42609360›Full record

ArticleFrontiers in immunology2026

Single-cell transcriptomic landscape of metabolic reprogramming in kidney allograft rejection.

Zhenan Zhang, Yi Zheng, Long Zheng, An He, Juntao Chen, Jinyu Luo, Ming Wang, Ming Cai

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zhenan ZhangDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Yi ZhengDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Long ZhengDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
An HeDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Juntao ChenDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Jinyu LuoDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Ming WangDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Ming CaiDepartment of Urology, the Second Affiliated Hospital, Zhejiang University, School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic rejection remains a major barrier to long-term survival after renal transplantation. However, our understanding of the transcriptional programs and metabolic alterations that shape the functions of human kidney cell populations during rejection is still limited. Objectives: To generate a comprehensive, cell type-specific transcriptomic map of metabolic states in healthy and transplanted human kidney samples. Methods: We performed single-cell RNA sequencing on 33 kidney samples, constructing an atlas comprising 82,661 cells. Results: Analysis of average metabolic pathway activity across cell subpopulations revealed distinct metabolic profiles. These differences provided insights into both unique abnormalities and shared features underlying various rejection states. We identified downregulation of mitochondrial programs in multiple non-proximal tubular cell populations compared with their counterparts in healthy kidneys. In contrast, both proximal tubular (PT) cells and T cells exhibited relatively elevated oxidative phosphorylation-related transcriptional scores, though the mechanisms driving this shift were specific to cell type and rejection status. Additionally, rejection-associated macrophages demonstrated altered amino acid metabolism, accompanied by enhanced IL-1 signaling. Conclusion: This single-cell atlas, together with a metabolically based stratification of chronic kidney transplant rejection, offers novel insights into the heterogeneous nature of rejection and provides valuable guidance for the development of targeted therapies.

Indexed as

Graft RejectionKidney TransplantationTranscriptomeAllograftsGene Expression ProfilingHumansKidneyMacrophagesMetabolic ReprogrammingMitochondriaSingle-Cell AnalysisSingle-Cell Gene Expression Analysischronic kidney transplant rejectionheterogeneitykidney allograft rejectionmetabolic profilessingle-cell RNA sequencing

Identifiers

PMID42609360
PMCPMC13478174

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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.