ArticleCNS neuroscience & therapeutics2025
ND-AMD: A Web-Based Database for Animal Models of Neurological Disease With Analysis Tools.
Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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9 authors.
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Abstract
backgroundResearch on animal models of neurological diseases has primarily focused on understanding pathogenic mechanisms, advacing diagnostic strateggies, developing pharmacotherapies, and exploring preventive interventions. To facilitate comprehensive and systematic studies in this filed, we have developed the Neurological Disease Animal Model Database (ND-AMD), accessible at https://www.uc-med.net/NDAMD. This database is signed around the central theme of "Big Data - Neurological Diseases - Animal Models - Mechanism Research," integrating large-scale, multi-dimensional, and multi-scale data to facilitate in-depth analyses. ND-AMD serves as a resource for panoramic studies, enabling comparative and mechanistic research across diverse experimental conditions, species, and disease models.
methodData were systematically retrieved from PubMed, Web of Science, and other relevant databases using Boolean search strategies with standardized MeSH terms and keywords. The collected data were curated and integrated into a structured SQL-based framework, ensuring consistency through automated validation checks and manual verification. Heterogeneity and sensitivity analyses were conducted using Cochran's Q test and the I
resultsND-AMD integrates data from 483 animal models of neurological diseases, covering eight disease categories, 21 specific diseases, 13 species, and 152 strains. The database provides a comprehensive repository of experimental and phenotypic data, covering behavioral, physiological, biochemical, molecular pathology, immunological, and imaging characteristics. Additionally, it incorporates application-oriented data, such as drug evaluation outcomes. To enhance data accessibility and facilitate in-depth analysis, ND-AMD features three custom-developed online tools: Model Frequency Analysis, Comparative Phenotypic Analysis, and Bibliometric Analysis, enabling systematic comparison and trend identification across models and experimental conditions.
conclusionsThe centralized feature of ND-AMD enables comparative analysis across different animal models, strains, and experimental conditions. It helps capture intricate interactions between biological systems at different levels, ranging from molecular mechanisms to cellular processes, neural networks, and behavioral outcomes. These models play a vital role as tools in replicating pathological conditions of neurological diseases. By offering users convenient, efficient, and intuitive access to data, ND-AMD enables researchers to identify patterns, trends, and potential therapeutic targets that may not be apparent in individual studies.
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Registered trials
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.