Evidence map›Paper›PMID 41695269›Full record

ArticleFrontiers in aging neuroscience2026

From knowledge landscapes to network mechanisms: charting regulated cell death pathways in ALS.

Jingxuan Zhang, Zilin Zhao, Tianyue Xiang, Da Teng, Hejia Wan, Qiong Zhang, Xiaohui Liu

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 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. 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

7 authors.

Jingxuan ZhangFirst Clinical Medical College, Henan University of Chinese Medicine, Zhengzhou, China.
Zilin ZhaoSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, China.
Tianyue XiangSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, China.
Da TengSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, China.
Hejia WanSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, China.
Qiong ZhangSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, China.
Xiaohui LiuSchool of Nursing (Nursing School of Smart Healthcare Industry), Henan University of Chinese Medicine, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To map the research landscape linking amyotrophic lateral sclerosis (ALS) with regulated cell death (RCD) and to integrate bibliometric trends with bioinformatics evidence to identify convergent mechanisms and actionable targets. Methods: Web of Science Core Collection, PubMed, and Scopus were searched for 2005-2024 (English; Article/Review). After merging and de-duplication, 6,272 records were analyzed using CiteSpace, VOSviewer, and bibliometrix to evaluate publication trends, collaboration, co-citation structure, and keyword evolution. In parallel, ALS-related genes were intersected with apoptosis-, ferroptosis-, and pyroptosis-associated gene sets. Shared targets were used to construct PPI networks, identify core modules and hub genes, and perform GO/KEGG enrichment analyses. Results: Publications and citations increased steadily with a clear rise after 2015. The field is anchored by the USA and shows rapidly growing contributions from Asia and Europe. Keyword evolution indicates a shift from "oxidative stress/apoptosis" toward multi-pathway RCD, with prominent recent bursts in ferroptosis, pyroptosis, necroptosis, and autophagy/mitophagy, alongside persistent themes in motor-neuron degeneration, mitochondria, and neuro-inflammation. Bio-informatics results showed substantial genetic overlap between ALS and RCD modalities. Hub-gene analysis highlighted TP53, AKT1, STAT3, MYC, RELA, EP300, CREBBP, JUN, HSP90AA1, and MAPK3 as central nodes. Enrichment analyses implicated FoxO, HIF-1, and lipid-related pathways, and GO terms related to chemical/oxidative stress responses and autophagy regulation. Conclusion: ALS-cell death research is consolidating around interconnected RCD programs. Integrated bibliometric and bioinformatics evidence supports an immunometabolic convergence involving ferroptosis-inflammation-autophagy signaling, providing a focused set of candidate pathways and hub targets for mechanistic validation and translation.

Indexed as

amyotrophic lateral sclerosisautophagybibliometric analysisbioinformaticsferroptosisimmunometabolismmitochondrial dysfunctionneuroinflammation

Identifiers

PMID41695269
PMCPMC12901334

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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.