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NeuroscienceMolecular Psychiatry
Peer-reviewed journal article

Differential Vulnerability of Anterior Cingulate Cortex Cell-Types to Diseases and Drugs

Marissa A. SmailiD, Sapuni S. Chandrasena, Xiaolu ZhangiD, Vineet Reddy, Craig KelleyiD, James P. HermaniD, Mohamed Sherif, Robert Erne McCullumsmithiD, Rammohan ShuklaiD

Abstract

In psychiatric disorders, mismatches between disease-states and therapeutic strategies are highly pronounced, largely because of unanswered questions regarding specific vulnerabilities of different cell-types and therapeutic responses. Which cellular events (housekeeping or salient) are most affected? Which cell-types succumb first to challenges, and which exhibit the strongest response to drugs? Are these events coordinated between cell-types? How does the disease-state and drug affect this coordination? To address these questions, we analyzed single-nucleus-RNAseq (sn-RNAseq) data from the human anterior cingulate cortex--a region involved in many psychiatric disorders. Density index, a metric for quantifying similarities and dissimilarities across functional profiles, was employed to identify common (housekeeping) or salient functional themes across all cell-types. Cell-specific signatures were integrated with existing disease and drug-specific signatures to determine cell-type-specific vulnerabilities, druggabilities, and responsiveness. Clustering of functional profiles revealed cell-types jointly participating in these events. SST and VIP interneurons were found to be most vulnerable, whereas pyramidal neurons were least vulnerable. Overall, the disease-state is superficial layer-centric, largely influences cell-specific salient themes, strongly impacts disinhibitory neurons, and influences astrocyte interaction with a subset of deep-layer pyramidal neurons. Drug activities, on the other hand, are deep layer-centric and involve activating a distinct subset of deep-layer pyramidal neurons to circumvent the disinhibitory circuit malfunctioning in the disease-state. These findings demonstrate a novel application of sn-RNAseq data to explain drug and disease action at a systems level, suggests a targeted drug development and reevaluate various postmortem-based findings.

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