Systematic analysis of cellular cross-talk reveals a role for SEMA6D-TREM2 regulating microglial function in Alzheimer's disease.

D'Oliveira Albanus, Ricardo; Finan, Gina M; Brase, Logan; Sweeney, Nicholas; Kim, Tae Yeon; Chen, Shuo; Ryoo, Yeonsu; Park, Joseph et al. · Sci Transl Med · 2025

basic_science · Level V

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Abstract

Cellular cross-talk, mediated by membrane receptors and their ligands, is crucial for brain homeostasis and can contribute to neurodegenerative diseases such as Alzheimer's disease (AD). To find cross-talk dysregulations involved in AD, we reconstructed cross-talk networks from single-nucleus transcriptional profiles of 67 clinically and neuropathologically well-characterized controls and AD brain donors from the Knight Alzheimer Disease Research Center and the Dominantly Inherited Alzheimer Network cohorts. We predicted a role for TREM2 and additional AD risk genes mediating neuron-microglia cross-talk in AD. We identified a gene network mediating neuron-microglia cross-talk through TREM2 and neuronal SEMA6D, which we predicted is disrupted in late AD stages. Using spatial transcriptomics on the human brain, we observed that the SEMA6D-TREM2 cross-talk gene network is activated near Aβ plaques and SEMA6D-expressing cells. Using tissue immunostaining of human brains, we found that SEMA6D colocalizes with Aβ plaques and TREM2-activated microglia. In addition, we found that plaque-proximal SEMA6D abundance decreased with the disease stage, which correlated with a reduction in microglial activation near plaques. These findings suggest that the loss of SEMA6D signaling impairs microglial activation and Αβ clearance. To validate this hypothesis, we leveraged <i>TREM2</i> knockout human induced pluripotent stem cell-derived microglia and observed that SEMA6D induces microglial activation and Aβ plaque phagocytosis in a TREM2-dependent manner. In summary, we demonstrate that characterizing cellular cross-talk networks can yield insights into AD biology, provide additional context to understand AD genetic risk, and find previously unknown therapeutic targets and pathways.

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