BACKGROUND: Inflammatory processes play a pivotal role in the degenerative process of @entity195 . In @entity1 , a biallelic ( @entity6344 ) polymorphism in the promoter region (position-511) ( @entity9985 ) of the @entity1356 gene has been significantly associated with differences in the secretory capacity of @entity1356 . In this study, we investigated whether this functional polymorphism mediates the brain networks in @entity1 with @entity195 . METHODS: We enrolled a total of 135 @entity1 with @entity195 (65 males, 70 females), and investigated their gray matter structural covariance networks using 3D T1 magnetic resonance imaging and their white matter macro-structural integrities using fractional anisotropy. The @entity1 were classified into two genotype groups: C-carriers (n   =   108) and TT-carriers (n   =   27), and the structural covariance networks were constructed using seed-based analysis focusing on the default mode network medial temporal or dorsal medial subsystem, salience network and executive control network. Neurobehavioral scores were used as the major outcome factors for clinical correlations. RESULTS: There were no differences between the two genotype groups in the cognitive test scores, seed, or peak cluster volumes and white matter fractional anisotropy. The covariance strength showing C-carriers   >   TT-carriers was the entorhinal-cingulum axis. There were two peak clusters (Brodmann 6 and 10) in the salience network and four peak clusters (superior prefrontal, precentral, fusiform, and temporal) in the executive control network that showed C-carriers   <   TT-carriers in covariance strength. The salience network and executive control network peak clusters in the TT group and the default mode network peak clusters in the C-carriers strongly predicted the cognitive test scores. CONCLUSIONS: @entity1356 @entity37160 polymorphism modulates the structural covariance strength on the anterior brain network and entorhinal-interconnected network which were independent of the white matter tract integrity. Depending on the specific @entity37160 genotype, different network clusters could predict the cognitive tests.

Genetic effect of @entity1356 ( XXXX ) polymorphism on the structural covariance network and white matter integrity in @entity195 .

@entity1 :: ('9606', 'Species') :: ['humans', 'patients'] @entity6344 :: ('c|SUB|C||T', 'DNAMutation') :: ['C/T'] @entity1356 :: ('3553', 'Gene') :: ['interleukin-1 beta', 'Interleukin-1 beta'] @entity9985 :: ('rs16944', 'SNP') :: ['rs16944'] @entity195 :: ('MESH:D000544', 'Disease') :: ["Alzheimer's disease"] @entity37160 :: ('c|SUB|C|-511|T', 'DNAMutation') :: ['C-511  T']
@entity37160 :: (c|SUB|C|-511|T,DNAMutation) :: ['C-511T']
