Evidence map›Paper›PMID 40126158›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Generation of a High-Precision Whole Liver Panorama and Cross-Scale 3D Pathological Analysis for Hepatic Fibrosis.

Xiaochuan Zhang, Weicheng Yang, Xiaoliang Li, Yanli Zhao, Zongneng Xie, Shuangqu Li, Yue Zeng, Xiaoxu Hao, Xiaohong Xin, Yu Zhang and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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. [Advances in basic and experimental diagnostic research on liver diseases in 2025​].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Article
  2. Review
  3. Review
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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

14 authors.

Xiaochuan ZhangCenter for MOST and Image Fusion Analysis, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China.ORCID https://orcid.org/0000-0002-9315-5065
Weicheng YangSchool of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Xiaoliang LiLingang Laboratory, Shanghai, 201602, China.
Yanli ZhaoLingang Laboratory, Shanghai, 201602, China.
Zongneng XieLingang Laboratory, Shanghai, 201602, China.
Shuangqu LiCAS Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Yue ZengCAS Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Xiaoxu HaoLingang Laboratory, Shanghai, 201602, China.
Xiaohong XinCenter for MOST and Image Fusion Analysis, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China.
Yu ZhangCenter for MOST and Image Fusion Analysis, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China.
Zixuan FengCenter for MOST and Image Fusion Analysis, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201210, China.
Hualiang JiangCAS Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Zhaobing GaoCAS Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Xianzhen YinLingang Laboratory, Shanghai, 201602, China.

Funding

National Natural Science Foundation of China Young Scientist Fund 82401652Shanghai Municipal Science and Technology Major Project 2018SHZDZX05Shanghai "Super Postdoctoral" Incentive Program 2021431Youth Innovation Promotion Association of the Chinese Academy of Sciences 2018323
6 · The paper itself

Abstract

The liver harbors complex cross-scale structures, and the fibrosis-related alterations to these structures have a severe impact on the diverse function of the liver. However, the hepatic anatomic structures and their pathological alterations in the whole-liver scale remain to be elucidated. Combining the micro-optical sectioning tomography (MOST) system and liver Nissl staining, a first high-precision whole mouse liver atlas is generated, enabling visualization and analysis of the entire mouse liver. Thus, a detailed 3D panorama of CCl4-induced liver fibrosis pathology is constructed, capturing the 3D details of the central veins, portal veins, arteries, bile ducts, hepatic sinusoids, and liver cells. Pathological changes, including damaged sinusoids, steatotic hepatocytes, and collagen deposition, are region-specific and concentrated in the pericentral areas. The quantitative analysis shows a significantly reduced diameter and increased length density of the central vein. Additionally, a deep learning tool is used to segment steatotic hepatocytes, finding that the volume proportion of steatotic regions is similar across liver lobes. Steatosis severity increases with proximity to the central vein, independent of central vein diameter. The approach allows the cross-scale visualization of multiple structural components in liver research and promotes pathological studies from a 2D to a 3D perspective.

Indexed as

Imaging, Three-DimensionalLiverLiver CirrhosisAnimalsDisease Models, AnimalHepatocytesMaleMiceMice, Inbred C57BL3D imaginghepatic fibrosismicro‐optical sectioning tomographypathological atlaswhole liver

Identifiers

PMID40126158
PMCPMC12097011

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.