Evidence map›Paper›PMID 42676482›Full record

ReviewFrontiers in aging neuroscience2026

Direct toll-like receptor 4 inhibition in Alzheimer's disease models: a focused scoping review of inflammatory, amyloid-handling, and functional outcomes.

Xiaolu Ren, Xinyu Jin, Ling Li, Fang Li

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 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

4 authors.

Xiaolu Ren *Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Xinyu Jin *Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Ling LiDepartment of Hematology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Fang LiDepartment of Neurology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This focused scoping review evaluated whether direct toll-like receptor 4 (TLR4) inhibition, antagonism, or genetic suppression in Alzheimer's disease (AD)-related models was associated with concordant inflammatory, amyloid-β (Aβ)-handling, and functional outcomes. Methods: Original AD- or Aβ-related animal, cellular, and Results: Direct TLR4 suppression generally attenuated target-proximal inflammatory activation, including microglial activation, pro-inflammatory mediator expression, NF-κB signaling, NLRP3 inflammasome activation, and reactive microglial phenotypes. In contrast, amyloid-related and functional outcomes were heterogeneous. Some studies reported reduced Aβ pathology, enhanced phagocytosis, synaptic protection, or cognitive improvement, whereas others showed impaired amyloid clearance, increased Aβ deposition, or worsened memory-related outcomes. APOE genotype, sex, treatment window, model system, Aβ species, and intervention type appeared to modify the direction of downstream effects. Conclusion: Toll-like receptor 4 suppression relatively consistently attenuated inflammatory readouts, whereas amyloid-related and functional outcomes remained heterogeneous, supporting an exploratory, hypothesis-generating model of context-dependent inflammatory-amyloid-functional dissociation rather than a uniform therapeutic benefit.

Indexed as

Alzheimer’s diseaseamyloid-βAPOE4IAXO-101microglianeuroinflammationscoping reviewtoll-like receptor 4

Identifiers

PMID42676482
PMCPMC13526921

What OpenQuestion holds

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Registered trials

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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.