Evidence map›Paper›PMID 38434240›Full record

ArticleResearch (Washington, D.C.)2023

Cellular and Transcriptional Dynamics during Brown Adipose Tissue Regeneration under Acute Injury.

Wenjing You, Ziye Xu, Wentao Chen, Xin Yang, Shiqi Liu, Liyi Wang, Yuang Tu, Yanbing Zhou, Teresa G Valencak, Yizhen Wang and 2 more

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Gabpα-Pparγ Complex Determines Glycolytic Capacity and Lactic Acid Homeostasis in Brown Fat.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

12 authors.

Wenjing YouCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Ziye XuCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Wentao ChenCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Xin YangDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Shiqi LiuCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Liyi WangCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Yuang TuCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Yanbing ZhouCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Teresa G ValencakCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Yizhen WangCollege of Animal Sciences, Zhejiang University, Hangzhou, China.
Shihuan KuangDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Tizhong ShanCollege of Animal Sciences, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brown adipose tissue (BAT) is the major site of non-shivering thermogenesis and crucial for systemic metabolism. Under chronic cold exposures and high-fat diet challenges, BAT undergoes robust remodeling to adapt to physiological demands. However, whether and how BAT regenerates after acute injuries are poorly understood. Here, we established a novel BAT injury and regeneration model (BAT-IR) in mice and performed single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq to determine cellular and transcriptomic dynamics during BAT-IR. We further defined distinct fibro-adipogenic and myeloid progenitor populations contributing to BAT regeneration. Cell trajectory and gene expression analyses uncovered the involvement of MAPK, Wnt, and Hedgehog (Hh) signaling pathways in BAT regeneration. We confirmed the role of Hh signaling in BAT development through

Identifiers

PMID38434240
PMCPMC10907023

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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.