Artificial intelligence-based 3D segmentation of tangle-associated TDP-43 in neurodegeneration.

Abstract

TAR DNA-binding protein 43 (TDP-43) inclusions are often associated with hyperphosphorylated tau, thus neurofibrillary tangles as the hallmark of Alzheimer's disease (AD) and primary age-related tauopathy (PART). TDP-43 in AD is associated with cognitive impairment, and while staging is known, the localization, cellular and inclusion characteristics of TDP-43 are yet to be elucidated. We investigate relationships between TDP-43 inclusions and the tangle maturation continuum in AD, PART, and co-pathologies by multiplex immunostaining combined with artificial intelligence (AI)-based segmentation via object recognition, reconstruction, and quantification. We performed anti-phosphorylated TDP-43 immunofluorescence with phosphorylated tau labeling different stages and modifications of tangles (AT8, pS396, TauC3, MN423, GT38) in three controls, three cases with PART and TDP-43 (PART-TDP), five cases with high likelihood AD and TDP-43 (AD-TDP), and four cases of high likelihood AD with TDP-43 and Lewy Body disease (AD-TDP-LBD). Confocal imaging was taken from eight regions: amygdala (amygdala-BL and amygdala-CM) and hippocampus (Cornu Ammonis (CA)-1, CA2/3, CA4, dentate gyrus (DG), subiculum (SUB)), and entorhinal cortex (ERC) and quantified with AI segmentation to identify 3D spatial relations, thus the maturity of neurofibrillary tangle associated TDP-43 (TAT) inclusions. TATs, which were either identified by pTDP-43 and AT8 or pTDP-43 and pS396 double positivity, were also investigated by Thioflavin S (ThioS) histochemistry. We found pS396 labeled mature TATs predominated in PART and AD in every region. Basolateral and centromedial amygdala displayed overall greatest number of pre-TATs and mature TATs. Mature TATs were homogenously distributed among hippocampal subfields whereas CA4 and DG had the greatest mature TAT composition. ERC revealed closer numbers of pre-TATs and mature TATs yet mature TATs predominated all groups. Unbiased AI-based object identification, reconstruction, and TAT maturation analysis pipeline in conjunction with TDP-43, tau, and ThioS multiplex immunostaining demonstrated unique aggregation and maturation patterns, highlighting region-specific dynamics in the neurodegenerative processes of PART and AD.