Differential vulnerability of anterior cingulate cortex cell types to diseases and drugs.

Differential vulnerability of anterior cingulate cortex cell types to diseases and drugs.
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前扣带回皮质细胞类型对疾病和药物的差异脆弱性。

DOI:
10.1038/s41380-022-01657-w
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发表时间:
2022-10
影响因子:
11
通讯作者:
Shukla, Rammohan
Shukla, Rammohan
中科院分区:
医学1区
文献类型:
--
作者:
Smail, Marissa A.;Chandrasena, Sapuni S.;Zhang, Xiaolu;Reddy, Vineet;Kelley, Craig;Herman, James P.;Sherif, Mohamed;McCullumsmith, Robert E.;Shukla, Rammohan

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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 disease and drug effect 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 or salient functional themes across 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. Overall, the disease state is superficial layer-centric, influences cell-specific salient themes, strongly impacts disinhibitory neurons, and influences astrocyte interaction with a subset of deep-layer pyramidal neurons. In absence of disease, drugs profiles largely recapitulate disease profiles, offering a possible explanation for drug side effects. However, in presence of disease, drug activities, are deep layer-centric and involve activating a distinct subset of deep-layer pyramidal neurons to circumvent the disease state’s disinhibitory circuit malfunction. These findings demonstrate a novel application of sn-RNAseq data to explain drug and disease action at a systems level.
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