Abstract:Objective To summarize and analyze the current status of animal models for Crohn"s disease (CD) based on literature data mining, providing insights for optimizing the preparation methods and evaluation criteria of CD animal models. Methods Literature related to CD animal models was retrieved from the China National Knowledge Infrastructure (CNKI), Wanfang Data, and PubMed databases. Information on animal species, modeling methods, detection indicators, and positive intervention strategies was extracted. A database was established using Excel software for statistical analysis. Results A total of 411 eligible Chinese and English articles were included. The majority of CD animal models utilized 6-8-week-old SD rats, C57BL/6J mice, or BALB/c mice, predominantly male. Modeling methods comprised six categories: chemical induction (primarily TNBS), genetic engineering (e.g., IL-10-/-, TNF△ARE mice), spontaneous models, immune-mediated models, microbial colonization, and combination approaches. Detection indicators encompassed general phenotypic characteristics, pathological alterations, inflammatory markers, intestinal permeability, intestinal fibrosis, immunological changes, gut microbiota and metabolite profiles, and signaling pathways. Among positive interventions, biological agents were most frequently employed in Western medicine, while acupuncture was predominant in traditional Chinese medicine. These models were widely applied in drug efficacy evaluation, mechanism exploration, and novel model development. Conclusion Current CD animal models employ diverse preparation strategies, simulating multiple dimensions of CD characteristics and aligning well with Western medical criteria. Based on this data mining analysis, future research should focus on establishing standardized modeling protocols and developing integrated animal models that incorporate disease and syndrome features from both traditional Chinese and Western medicine, while encompassing the full disease progression of CD. Such advancements will enhance research reliability and accelerate investigations into pathogenesis and innovative therapeutic development.