Evidence map›Paper›PMID 42010880›Full record

ArticleAging cell2026

Spatiotemporal Transcriptomics Characterizes Immune Microenvironment During Mouse Liver Aging.

Jiahua Lu, Yuqian Wang, Wenxue Zhao, Zihao Zhao, Zhaoya Gao, Jin Gu, Cheng Li, Jie Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging cell, 2026. 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

8 authors.

Jiahua LuDepartment of Pathology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID https://orcid.org/0009-0000-1582-3729
Yuqian WangCenter for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, China.
Wenxue ZhaoSchool of Life Sciences, Center for Bioinformatics, Center for Statistical Science, Peking University, Beijing, China.
Zihao ZhaoSchool of Life Sciences, Center for Bioinformatics, Center for Statistical Science, Peking University, Beijing, China.
Zhaoya GaoDepartment of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China.
Jin GuDepartment of Gastrointestinal Surgery, Peking University Shougang Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-9650-1963
Cheng LiSchool of Life Sciences, Center for Bioinformatics, Center for Statistical Science, Peking University, Beijing, China.
Jie ChengDepartment of Pathology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Funding

Beijing Natural Science Foundation 7254382National Key Research and Development Program of China 2021YFA1100300National Natural Science Foundation of China 32025006National Natural Science Foundation of China 32288102National Natural Science Foundation of China 32500758National Science and Technology Major Project of the Ministry of Science and Technology of China 2025ZD0549900
6 · The paper itself

Abstract

The liver is a major metabolic organ, responsible for synthesizing and breaking down diverse metabolites. Recently, the liver's immunological functions have gradually been unveiled: combating pathogens and maintaining tissue homeostasis. Age-related functional alterations in these immune cells emerge as potential drivers of hepatic dysfunction and age-associated pathologies. However, systematic investigations into spatiotemporal immune cell dynamics during liver aging remain limited. To address this gap, we analyzed young and old mouse livers using single-cell/nuclei and spatial transcriptomics, revealing T cells as the immune cell population with the most pronounced transcriptomic alterations, marked by enrichment of exhausted CD8

Indexed as

AgingCellular MicroenvironmentLiverTranscriptomeAnimalsCD8-Positive T-LymphocytesHepatocytesMaleMiceMice, Inbred C57BLSpatial TranscriptomicsT-Cell Exhaustionagingliversingle‐cell/nuclei transcriptomespatial transcriptomeT cell exhaustion

Identifiers

PMID42010880
PMCPMC13096584

What OpenQuestion holds

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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.