Evidence map›Paper›PMID 41188377›Full record

ArticleScientific reports2025

Morphological alterations of peridroplet mitochondria in human liver biopsy.

Hanna Kawecka, Norihiro Imai, Yuki Ohsaki, Jinglei Cheng, Dongming Liu, Jingjing Zhang, Fumitaka Mizuno, Taku Tanaka, Shinya Yokoyama, Kenta Yamamoto and 7 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 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. Article
  2. Review
  3. Article
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  6. 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

17 authors.

Hanna KaweckaDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Norihiro ImaiDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan. norihiro.imai@gmail.com.
Yuki OhsakiDivision of Cell and Tissue Morphology, Department of Anatomy, Sapporo Medical University School of Medicine, Sapporo, Hokkaido, Japan.
Jinglei ChengDepartment of Anatomy and Molecular Cell Biology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Dongming LiuDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Jingjing ZhangDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Fumitaka MizunoDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Taku TanakaDepartment of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Shinya YokoyamaDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Kenta YamamotoDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Takanori ItoDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Yoji IshizuDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Takashi HondaDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Tetsuya IshikawaDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Michał WoźniakDepartment of Medical Chemistry, Medical University of Gdańsk, Gdańsk, Poland.
Hiroaki WakeDepartment of Anatomy and Molecular Cell Biology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Hiroki KawashimaDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.

Funding

JSPS KAKENHI 24K02208Medical University of Gdańsk 01-64025/643-0009518
6 · The paper itself

Abstract

Mitochondrial dysfunction and the accumulation of lipid droplets (LD) contribute to the pathogenesis of liver diseases. Mitochondria bound to LD, termed peridroplet mitochondria (PDM), form a subpopulation with distinct functions compared to cytoplasmic mitochondria (CM). In this first in vivo human liver study, we aimed to investigate the morphological differences between PDM and CM and to assess their associations with clinical parameters. Our analysis of mitochondrial ultrastructure using transmission electron microscopy images of human liver biopsies showed that CM were significantly smaller, more spherical, and solid, whereas PDM were larger and more elongated. Overall, PDM exhibited more uniform morphology, while CM displayed disease-specific morphological alterations. CM were associated with serum liver enzyme levels and high-density lipoprotein cholesterol, suggesting sensitivity to liver stress and a potential role in liver cholesterol transport. In contrast, PDM were associated with serum triglyceride levels, indicating a role in lipid metabolism. Total PDM and LD counts showed a positive correlation, reinforcing their close functional relationship. These findings show that PDM and CM represent distinct mitochondrial subpopulations with unique morphologies and differing associations with hepatic pathophysiological pathways, which highlights the significance of LD interactions in contributing to mitochondrial heterogeneity.

Indexed as

Lipid DropletsLiverMitochondriaMitochondria, LiverAdultBiopsyFemaleHumansLipid MetabolismMaleMicroscopy, Electron, TransmissionMiddle AgedDeep learning modelLipid dropletsLipid metabolismMitochondrial contact sitesMitochondrial dynamicsTransmission electron microscopy

Identifiers

PMID41188377
PMCPMC12586439

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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.