Evidence map›Paper›PMID 42426885›Full record

ReviewJournal of translational medicine2026

Insights into programmed cell death from multiple imaging modalities.

Siqi Li, Xinyang Zhang, Dingding Li, Yiwen Hou, Yi Qian, Jinghan Xu, Qihong Gu, Minfeng Yang, Minjie Chu

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Siqi Li *Institute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China.
Xinyang Zhang *Specialized Medical Department (International Medical Section), Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Dingding Li *Institute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China.
Yiwen Hou *Institute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China.
Yi QianInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China.
Jinghan XuInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China.
Qihong GuInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China.
Minfeng YangInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China. 2024089@ntu.edu.cn.
Minjie ChuInstitute for Applied Research in Public Health, Key Laboratory of Jiangsu Higher Education Institutions for Advanced Medical Analytics and Public Health, School of Public Health, Nantong University, Nantong, China. chuminjie@ntu.edu.cn.ORCID http://orcid.org/0000-0002-7533-9119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmed cell death (PCD) is a fundamental, genetically regulated process crucial for development and homeostasis in multicellular organisms. Despite its importance, studying PCD presents significant challenges. Traditional methods relying on static, fixed samples cannot capture the dynamic progression of PCD and rarely reproduce the complex in vivo microenvironment. This review provides a systematic comparison of molecular probes and imaging modalities for detecting and differentiating major PCD subtypes, including apoptosis, necroptosis, and pyroptosis. We systematically summarize recent advances, emphasizing their utility for imaging‑based identification of distinct cell death forms rather than solely focusing on dynamic visualization. Practical guidance is offered for selecting appropriate probes and imaging platforms according to specific biological questions. By enabling real-time monitoring of hallmark markers and deep-tissue dynamics in living organisms, in vivo imaging provides novel insights and advanced technical support for elucidating the biological roles and functional significance of PCD. Nevertheless, this review highlights that the current strength of these technologies lies primarily in their ability to detect and differentiate PCD subtypes, with real‑time monitoring of full spatiotemporal dynamics remaining an ongoing challenge.

Indexed as

Cellular MicroenvironmentMolecular ImagingMultimodal ImagingRegulated Cell DeathSpatio-Temporal AnalysisAnimalsHumansIn Vivo ImagingMolecular imagingMultimodal IntegrationOptical ImagingProgrammed cell death

Identifiers

PMID42426885
PMCPMC13640174

What OpenQuestion holds

Textmetadata
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.