中心性                        
                
                                
                        
                            数据科学                        
                
                                
                        
                            肺结核                        
                
                                
                        
                            系统生物学                        
                
                                
                        
                            文献计量学                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            计算生物学                        
                
                                
                        
                            生物                        
                
                                
                        
                            医学                        
                
                                
                        
                            数据挖掘                        
                
                                
                        
                            病理                        
                
                                
                        
                            数学                        
                
                                
                        
                            组合数学                        
                
                        
                    
            作者
            
                Chenqi Li,Biao Gao,Hong‐Mei Xiao,Wenjing Shi,Hongtao Lu,G. P. Miao,Xiaohua Tu,Yuxiao Tang,Hui Shen            
         
                    
        
    
            
            标识
            
                                    DOI:10.1111/1440-1681.70069
                                    
                                
                                 
         
        
                
            摘要
            
            Malnutrition and tuberculosis form a mutually reinforcing vicious cycle. While nutritional interventions are crucial for TB management, the knowledge structure and research frontiers remain insufficiently characterised. To systematically analyse the structure, trajectory and frontiers of research in the nutrition-tuberculosis field using bibliometric methods. Relevant literature published since 2007 was retrieved from the Web of Science Core Collection database. CiteSpace was employed to perform multidimensional analyses, including co-occurrence, cluster timeline visualisation and burst detection for keywords, citations and authors, thereby constructing knowledge maps and identifying key nodes through network centrality metrics. A total of 4502 bibliographic records were analysed. Key findings include: (1) Vitamin D occupies a central position (frequency 326, centrality 70), bridging basic immune mechanisms and clinical applications; (2) research paradigms evolved from molecular mechanism exploration (2007-2012), through clinical translation validation (2011-2019), to systems biology integration (2019-2025); (3) gut microbiota (burst strength 11.73) and (fatty) acids emerged as frontiers; (4) diabetes-tuberculosis comorbidity revealed the complexity of metabolic-immune interaction networks and (5) high citation frequency of WHO reports indicates a pressing need for translating research into policy. Nutrition-tuberculosis research is shifting from single-nutrient studies towards integrated 'nutrition-microbiome-metabolism-immunity' networks. Vitamin D remains central, but future priorities should focus on precision interventions, multi-omics integration and translation from mechanism to practice, especially for high-risk groups.
         
            
 
                 
                
                    
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