Evidence map›Paper›PMID 41459485›Full record

ReviewFrontiers in immunology2025

Multimodal cell death drives the immunopathogenesis of RSV infection.

Tianxiang Yang, Zhizhong Mi, Zhaolong Li

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tianxiang YangInstitute of Virology and AIDS Research, The First Hospital of Jilin University, Changchun, Jilin, China.
Zhizhong MiInstitute of Virology and AIDS Research, The First Hospital of Jilin University, Changchun, Jilin, China.
Zhaolong LiInstitute of Virology and AIDS Research, The First Hospital of Jilin University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) is a major cause of severe respiratory tract infections in infants, older adults, and immunocompromised individuals. Despite decades of research, effective therapies are limited, largely due to an incomplete understanding of how infected cells and immune responses interact to shape disease outcomes. Recent evidence indicates that RSV activates multiple regulated cell death (RCD) programs-including apoptosis, necroptosis, pyroptosis, ferroptosis, and autophagy-associated cell death which interact through shared molecular mediators to form a multimodal cell death (MMCD) network. This integrated system regulates the balance between viral clearance and immunopathological injury. Central mediators such as caspase-8, RIPK3, and NLRP3 act as molecular hubs coordinating these death programs and amplifying inflammatory responses. Understanding how MMCD shapes RSV immunopathogenesis provides a unified framework linking cell death to immune dysfunction. This review summarizes recent progress in elucidating the MMCD network, highlights its role in death-inflammation feedback loops, and discusses potential strategies for therapeutic modulation. Conceptualizing RSV disease through the lens of MMCD may guide the development of precision interventions that restore immune homeostasis while preserving antiviral defense.

Indexed as

Cell DeathRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsAnimalsApoptosisAutophagyHumansNecroptosisPyroptosiscaspase-8immune amplificationmultimodal cell deathNLRP3 inflammasomeregulated cell deathRSVtherapeutic targeting

Identifiers

PMID41459485
PMCPMC12741116

What Socratic holds

Textmetadata
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 Socratic graph.