Evidence map›Paper›PMID 40318303›Full record

ArticleRedox biology2025

TJ0113-induced mitophagy in acute liver failure detected by Raman microspectroscopy.

Chunlian Huang, Jiaqi Liao, Xufeng Cen, Changwei Jiao, Sijia Chen, Dong Liu, Hang-Shuai Qu, Jiansheng Zhu, Sailing He

Abstract read
In one paragraph

Article in Redox biology, 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. Review
  2. Review
  3. Article
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

9 authors.

Chunlian HuangDepartment of Infectious Diseases, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, 317000, China; MedEnglnfo Collaborative Research Center, Zhejiang Engineering Research Center for Intelligent Medical Imaging, Sensing and Non-invasive Rapid Testing, Taizhou Hospital, Zhejiang University, Taizhou, China.
Jiaqi LiaoCentre for Optical and Electromagnetic Research, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310058, China; MedEnglnfo Collaborative Research Center, Zhejiang Engineering Research Center for Intelligent Medical Imaging, Sensing and Non-invasive Rapid Testing, Taizhou Hospital, Zhejiang University, Taizhou, China; National Engineering Research Center for Optical Instruments, Zhejiang University, Hangzhou, 310058, China.
Xufeng CenResearch Center of Clinical Pharmacy of the First Affiliated Hospital & Liangzhu Laboratory, Zhejiang University School of Medicine, Hangzhou, China.
Changwei JiaoCentre for Optical and Electromagnetic Research, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310058, China.
Sijia ChenDepartment of Infectious Diseases, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, 317000, China.
Dong LiuHangzhou PhecdaMed Co., Ltd. Third Floor, Building 2, No.2626. Yuhangtang Road, Yuhang District, Hangzhou City, Zhejiang Province, China.
Hang-Shuai QuDepartment of Public Laboratory, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, 317000, China.
Jiansheng ZhuDepartment of Infectious Diseases, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, 317000, China. Electronic address: zhujs@enzemed.com.
Sailing HeMedEnglnfo Collaborative Research Center, Zhejiang Engineering Research Center for Intelligent Medical Imaging, Sensing and Non-invasive Rapid Testing, Taizhou Hospital, Zhejiang University, Taizhou, China; National Engineering Research Center for Optical Instruments, Zhejiang University, Hangzhou, 310058, China; Department of Electromagnetic Engineering, School of Electrical Engineering, Royal Institute of Technology, 100 44, Stockholm, Sweden. Electronic address: sailing@kth.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impaired mitophagy underlies the pathophysiology of acute liver failure (ALF) and is closely associated with tissue damage and dysfunction. A novel mitophagy inducer, TJ0113, was used for treatment during ALF pathogenesis. In this study, we used a novel mitophagy inducer, TJ0113, to investigate the effects and mechanisms of TAA-induced ALF mice. The results showed that TJ0113 could enhance mitophagy through Parkin/PINK1 and ATG5 pathways, which in turn attenuated mitochondrial damage, hepatocyte apoptosis, nuclear factor (NF)-κB/NLRP3 signaling activation and inflammatory responses after TAA. Metabolomics results showed that TJ0113 mainly regulated lipid metabolism, amino acid metabolism and nucleotide metabolism in the livers of ALF mice. RNA sequencing (RNA-seq) analysis yielded that TJ0113 was involved in the development of ALF by regulating the P13K/AKT signaling pathway. The key highlight of this work is the use of an aberration-free line-scanning confocal Raman imager (AFLSCRI) to study the molecular changes in blood, liver tissue, gastrocnemius muscle, and mitochondrial extracts in ALF mice after TJ0113 treatment. Compared to the measurement with conventional assays, Raman microspectroscopy (micro-Raman) offers the benefits of being rapid, non-invasive, label-free and real-time. Our results found good agreement between Raman signals and histopathologic findings. The system has good performance with a spatial resolution of 2 μm, a spectral resolution of 4 cm

Indexed as

Liver Failure, AcuteMitophagySpectrum Analysis, RamanAnimalsDisease Models, AnimalLiverMaleMiceMitochondriaSignal TransductionUbiquitin-Protein LigasesUbiquitin-Protein LigasesAberration-free line-scanning confocal Raman imagingAcute liver failureMitophagyPoint-scan Raman imagingRaman signalTJ0113

Identifiers

PMID40318303
PMCPMC12098161

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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.