Evidence map›Paper›PMID 42121914›Full record

ReviewCells2026

Autophagy-Neuroinflammation Axis in Neurodegenerative Diseases: Mechanisms and Therapeutic Potential.

Liyuan Sun, Yong Zou, Lifeng Wang

Abstract readReview
In one paragraph

Review in Cells, 2026. 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.

Liyuan SunHengyang Medical College, University of South China, Hengyang 421001, China.
Yong ZouAcademy of Military Medical Sciences, Beijing 100850, China.
Lifeng WangHengyang Medical College, University of South China, Hengyang 421001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative diseases, characterized by progressive neuronal loss and functional decline, impose a substantial global health burden. Autophagy, the principal intracellular degradative pathway for clearing misfolded proteins and damaged organelles, is vital for neuronal homeostasis, whereas maladaptive neuroinflammation is increasingly being recognized as a central driver of disease progression. A growing body of evidence indicates a bidirectional, tightly coupled relationship between autophagy and neuroinflammation: impaired autophagic flux promotes accumulation of damage-associated molecules that activate innate immune responses, while sustained inflammatory signaling further disrupts autophagy, together forming a self-reinforcing cycle that accelerates neurodegeneration. This interplay is regulated by diverse genetic, molecular, cellular, and environmental factors and manifests in cell-type-specific ways across microglia, astrocytes. Therapeutic strategies emerging from these insights include modulation of autophagic pathways (e.g., mTOR, AMPK, TFEB), targeted inhibition of inflammasome and pro-inflammatory mediators (notably NLRP3-related signaling), and delivery platforms for small molecules or nucleic acids, with increasing interest in multi-target and stage-specific interventions. This review integrates mechanistic evidence and translational advances, highlights gaps in cell-type and stage-specific understanding, and outlines priorities for developing safe, effective therapies that target the autophagy-neuroinflammation axis in neurodegenerative disorders.

Indexed as

AutophagyInflammationNeurodegenerative DiseasesNeuroinflammatory DiseasesAnimalsHumansInflammasomesSignal TransductionInflammasomesautophagymechanismsneurodegenerative diseasesneuroinflammationtherapeutic strategies

Identifiers

PMID42121914
PMCPMC13163049

What OpenQuestion holds

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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.