Evidence map›Paper›PMID 40128350›Full record

ReviewNature reviews. Neurology2025

Knowing the enemy: strategic targeting of complement to treat Alzheimer disease.

Andrea J Tenner, Tiffany J Petrisko

Abstract readReview
In one paragraph

Review in Nature reviews. Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  8. Astrocyte Reactivity by Alcohol Dependence in the Central Amygdala.bioRxiv : the preprint server for biology · 2026
    Article
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  19. PreoperativeFrontiers in bioinformatics · 2026
    Review
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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

2 authors.

Andrea J TennerDepartment of Molecular Biology & Biochemistry, University of California Irvine, Irvine, CA, USA. atenner@uci.edu.ORCID 0000-0003-3000-024X
Tiffany J PetriskoDepartment of Molecular Biology & Biochemistry, University of California Irvine, Irvine, CA, USA.

Funding

UC Irvine MODEL-ADU54AG054349 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI Kim Green, FRANK M LAFERLA · 2017 to 2026
$71.9M
Defining the Mechanistic Link between C5aR1 signaling and cognitive loss in Alzheimer's diseasesR01AG060148 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI MORTAZAVI, SEYED ALI, TENNER, ANDREA JOAN · 2018 to 2021
$2.6M
NIA NIH HHS R01 AG060148NIA NIH HHS U54 AG054349
6 · The paper itself

Abstract

The complement system protects against infection, positively responds to tissue damage, clears cell debris, directs and modulates the adaptive immune system, and functions in neuronal development, normal synapse elimination and intracellular metabolism. However, complement also has a role in aberrant synaptic pruning and neuroinflammation - processes that lead to a feedforward loop of inflammation, injury and neuronal death that can contribute to neurodegenerative and neurological disorders, including Alzheimer disease. This Review provides justification, largely from preclinical mouse models but also from correlates with human tissue and biomarkers, for targeting specific complement components for therapeutic intervention in Alzheimer disease. We discuss promising strategies to slow the progression of cognitive loss with minimal undesired effects. The diverse interactions and functions of complement system components can influence biological processes in the healthy and diseased brain; here, these functions are described as a prerequisite to selecting appropriate, safe and effective therapeutic targets for translation to the clinic.

Indexed as

Alzheimer DiseaseComplement System ProteinsAnimalsHumansComplement System Proteins

Identifiers

PMID40128350
PMCPMC12243624

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.