Evidence map›Paper›PMID 40596658›Full record

ArticleScientific reports2025

Investigating hepatic fibrosis heterogeneity by three-dimensional imaging in metabolic dysfunction-associated steatotic liver disease.

Buket Yigit, Ekin Ozgonul, Omer Yaman, Tarik Sipahioglu, Burge Ulukan, Yagmur Cetin Tas, Berna Morova, Musa Aydin, Yigit Uysalli, Elif Demirtas and 14 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

24 authors.

Buket YigitDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Ekin OzgonulDepartment of Physics, Koç University, Istanbul, 34450, Turkey.
Omer YamanDepartment of Physics, Koç University, Istanbul, 34450, Turkey.
Tarik SipahiogluDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Burge UlukanDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Yagmur Cetin TasDepartment of Neuroscience, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Berna MorovaDepartment of Physics, Koç University, Istanbul, 34450, Turkey.
Musa AydinDepartment of Computer Engineering, Fatih Sultan Mehmet Vakif University, Istanbul, 34083, Turkey.
Yigit UysalliDepartment of Physics, Koç University, Istanbul, 34450, Turkey.
Elif DemirtasGraduate School of Health Sciences, Koç University, Istanbul, 34010, Turkey.
Mert ErkanDepartment of General Surgery, Faculty of Medicine, Acibadem University, Istanbul, 34752, Turkey.
Gurkan TelliogluDepartment of General Surgery, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Dila AtakDepartment of Neuroscience, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Yasemin Gursoy OzdemirDepartment of Neuroscience, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Sercin KarahuseyinogluDepartment of Histology and Embryology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Cihan YurdaydinDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Murat AkyildizDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey.
Abhishek ShethNottingham University Hospitals NHS Trust & University of Nottingham, NIHR Nottingham Biomedical Research Centre, Nottingham, NG7 2UH, UK.
Guruprasad Padur AithalNottingham University Hospitals NHS Trust & University of Nottingham, NIHR Nottingham Biomedical Research Centre, Nottingham, NG7 2UH, UK.
Hale KirimliogluDepartment of Pathology, Faculty of Medicine, Acibadem University, Istanbul, 34752, Turkey.
Murat DayangacDepartment of General Surgery, Faculty of Medicine, Medipol University, Istanbul, 34214, Turkey.
Onur FerhanogluDepartment of Electronics and Communication Engineering, Istanbul Technical University, Istanbul, 34467, Turkey.
Alper KirazDepartment of Physics, Koç University, Istanbul, 34450, Turkey.
Müjdat ZeybelDepartment of Gastroenterology and Hepatology, School of Medicine, Koç University, Istanbul, 34010, Turkey. mzeybel@ku.edu.tr.

Funding

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 117S440
6 · The paper itself

Abstract

Although liver biopsy is a well-established technique to assess fibrosis it has several limitations, including invasive nature, semi-quantitative assessment methods, significant sampling and observer variability, making precise assessment of hepatic fibrosis challenging. Accurate and reliable modalities are crucial for clinical trials to characterize hepatic fibrosis monitorization effectively. We aimed to perform 3-dimensional imaging of optically transparent liver samples by light-sheet microscopy (LSM) to quantify extracellular matrix (ECM) proteins. Fifty-seven MASLD, thirty-eight chronic hepatitis patients and twelve healthy individuals were included. Liver tissues were cleared with a CLARITY method. 3D imaging of ECM was performed via the newly developed LSM. Collagen Proportionate Volume (CPV) and Elastin Proportionate Volume (EPV) values were calculated by analysis of over 200 sections per sample through morphometry. We have optimized a method which achieves transparency of liver tissues in advanced fibrotic stages of MASLD and optimized non-destructive slide-free fibrosis pathology of whole fresh and FFPE liver biopsy samples. Cut-off values for CPV and EPV were established for fibrotic stages. CPV and EPV analysis showed a considerable optical section heterogeneity resulting in a fibrosis stage of variance within the sample. Volumetric image analysis for fibrosis staging revealed that only 44% and 47% of optical sections would be staged the same for F3 and F4, respectively. For the first time, our findings demonstrate a novel method of analyzing 3D digital pathology of liver fibrosis using in-house LSM. Volumetric imaging of whole liver biopsy samples showed that fibrosis heterogeneity occurs even in different sections.

Indexed as

Fatty LiverImaging, Three-DimensionalLiver CirrhosisAdultAgedBiopsyCollagenExtracellular MatrixFemaleHumansLiverMaleMiddle AgedCollagen3D imagingCLARITYLiver fibrosisMASLDSlide-free pathology

Identifiers

PMID40596658
PMCPMC12218418

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.