Evidence map›Paper›PMID 41743850›Full record

ReviewResearch (Washington, D.C.)2026

Antimicrobial Peptides as Cross-Seeding Modulators at the Neurodegenerative-Infectious Interface.

Yanxian Zhang, Yijing Tang, Lijin Wang, Jie Zheng

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 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.

Yanxian ZhangDivision of Endocrinology and Diabetes, Department of Pediatrics, School of Medicine Stanford University, Stanford, CA 94305, USA.
Yijing TangDepartment of Neurology Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA.
Lijin WangDepartment of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
Jie ZhengDepartment of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA.ORCID https://orcid.org/0000-0003-1547-3612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial peptides (AMPs), traditionally regarded as innate immune effectors, are increasingly recognized for their structural and functional convergence with pathogenic amyloids. Recent studies-including our own-reveal that AMPs not only exhibit antimicrobial activity but also modulate amyloid aggregation by accelerating, delaying, or redirecting fibril growth, acting at the nexus of protein misfolding, inflammation, and host defense. In this account, we highlight the emerging role of AMPs as cross-seeding modulators that can inhibit or promote amyloid fibrillization depending on structural context. We summarize mechanistic insights into how β-sheet-rich AMPs engage amyloidogenic targets via structural compatibility, directional seeding asymmetry, and surface-mediated catalysis. We also explore how AMP-amyloid cross-seeding contributes to a bidirectional pathogen-amyloid feedback loop, linking microbial infections to chronic inflammation and neurodegeneration. Building on these molecular foundations, we present recent design advances in engineering AMP-derived inhibitors with enhanced amyloid specificity, proteolytic stability, and translational potential. These dual-function peptides-capable of suppressing amyloid aggregation and modulating immune responses-offer a unique therapeutic strategy for diseases such as Alzheimer's, type 2 diabetes, and systemic amyloidosis. We conclude by outlining current challenges and future directions for data-driven design, delivery optimization, and clinical development of multifunctional AMPs as next-generation therapeutics.

Identifiers

PMID41743850
PMCPMC12930082

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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.