Evidence map›Paper›PMID 39817712›Full record

ArticleFASEB journal : official publication of the Federation of American Societies for Experimental Biology2025

Spatiotemporal landscape of kidney in a mouse model of hyperuricemia at single-cell level.

Haining Chang, Qianru Tao, Lan Wei, Yangyang Wang, Chao Tu

Abstract read
In one paragraph

Article in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Spatiotemporal landscape of kidney in a mouse model of hyperuricemia at single-cell level.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  4. Article
  5. Review
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

5 authors.

Haining ChangDepartment of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID https://orcid.org/0009-0005-6214-5998
Qianru TaoDepartment of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID https://orcid.org/0009-0004-4021-1870
Lan WeiDepartment of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID https://orcid.org/0000-0003-0673-725X
Yangyang WangDepartment of Clinical Laboratory, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID https://orcid.org/0009-0009-8549-5930
Chao TuDepartment of Internal Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.ORCID https://orcid.org/0000-0003-2142-8666

Funding

Changzhou Health Commission youth project QN202206
6 · The paper itself

Abstract

Serum uric acid is an end-product of purine metabolism. Uric acid concentrations in excess of the physiological range may lead to diseases such as gout, cardiovascular disease, and kidney injury. The kidney includes a variety of cell types with specialized functions such as fluid and electrolyte homeostasis, detoxification, and endocrine functions. Two-thirds of uric acid is excreted through kidney, however, the exploration of markers and new therapeutic targets in renal tissue of hyperuricemia is still lacking. Single-cell and spatial omics techniques represent major milestones in life sciences. The combined measurement of the physical structure and molecular characteristics of tissues facilitates the exploration of the pathophysiological processes underlying disease development and the discovery of possible therapeutic targets. Here, the spatiotemporal atlas of hyperuricemic nephropathy was investigated using single-cell RNA sequencing, spatial transcriptomics, spatial proteomics, and spatial metabolomics in a urate oxidase knockout mouse model. Several emerging targets and pathways especially ribosome and metabolism related to uric acid excretion were discovered and will be investigated further in studies on lowering uric acid.

Indexed as

HyperuricemiaKidneyAnimalsDisease Models, AnimalMaleMetabolomicsMiceMice, Inbred C57BLMice, KnockoutProteomicsSingle-Cell AnalysisTranscriptomeUrate OxidaseUric AcidUrate OxidaseUric AcidCRISPR‐Cas9single‐cell sequencingspatial metabolomicsspatial proteomicsspatial transcriptomics

Identifiers

PMID39817712
PMCPMC11737292

What OpenQuestion holds

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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.