Evidence map›Paper›PMID 40421435›Full record

ArticleKidney diseases (Basel, Switzerland)

Deciphering Intercellular Communication of the Immune Landscape within Autosomal Dominant Polycystic Kidney Disease Microenvironment at Single-Cell Resolution.

Fei Liu, Xiaoyi Li, Qiuyu Li, Jinglan Gu, Qi Shi, Jiayi Song, Na Jiao, Jianhua Mao

Abstract read
In one paragraph

Article in Kidney diseases (Basel, Switzerland). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Macrophage-Fibroblast Crosstalk in Kidney Injury: A Narrative Review.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Combination siRNA delivery as a therapeutic strategy for ADPKD.bioRxiv : the preprint server for biology · 2026
    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

8 authors.

Fei LiuDepartment of Nephrology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, PR China.
Xiaoyi LiDepartment of Nephrology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, PR China.
Qiuyu LiDepartment of Nephrology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, PR China.
Jinglan GuDepartment of Nephrology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, PR China.
Qi ShiSchool of Basic Medical Sciences & Forensic Medicine, Hangzhou Medical College, Hangzhou, PR China.
Jiayi SongSchool of Basic Medical Sciences & Forensic Medicine, Hangzhou Medical College, Hangzhou, PR China.
Na JiaoDepartment of Microbiology and Microbial Engineering, School of Life Sciences, Fudan University, Shanghai, PR China.
Jianhua MaoDepartment of Nephrology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Autosomal dominant polycystic kidney disease (ADPKD) is a genetic disorder that often leads to end-stage renal disease, with disease progression deeply influenced by the renal microenvironment. This study aims to unravel the critical cellular types and their intricate interactions within the ADPKD microenvironment. Methods: Leveraging single-cell transcriptome data from seven ADPKD and three healthy human kidney samples, we systematically dissected the cellular landscape of the ADPKD microenvironment. Our approach included CellChat for cell-cell communication analysis, VISION for pathway enrichment analysis, pySCENIC for regulon activity calculation, and Monocle V3 for pseudotime trajectory construction. Results: We identified nine major cell lineages, with a notable increase of mononuclear phagocytes (MNPs), T cells, and fibroblasts in the ADPKD microenvironment. These cells collectively orchestrated a distinctive microenvironment, marked by complex intercellular networks. Notably, a specific subset of macrophages exhibited an "M2-like" phenotype, which was driven by IL-10 signaling from M1-like macrophages and contributed to cyst cell proliferation. Immunosuppression was predominantly mediated by CD4+ T cells, activated by macrophages through immune checkpoint pathways, such as PDL1 signaling. The fibrotic expansion was a cumulative effect of fibroblast activation and proliferation, modulated by macrophages and cyst-lining epithelial cells. Conclusion: This comprehensive investigation provides valuable insights into the diverse landscapes of the ADPKD microenvironment at single-cell resolution, emphasizing MNPs, T cells, and fibroblasts. The study unveils complex interactions among these cell types, shedding light on an understanding of the immunological aspect of ADPKD and proposing potential therapeutic targets.

Indexed as

Autosomal dominant polycystic kidney diseaseFibroblastsImmune microenvironmentMacrophagesSingle-cell transcriptomeT cells

Identifiers

PMID40421435
PMCPMC12105836

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Registered trials

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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.