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Old World alphaviruses use distinct mechanisms to infect brain microvascular endothelial cells for neuroinvasion

ABSTRACT: Several alphaviruses bypass the blood-brain barrier (BBB), causing debilitating or fatal encephalitis. Sindbis virus (SINV) has been extensively studied in vivo to understand alphavirus neuropathogenesis; yet the molecular details of neuroinvasion at the BBB remain poorly understood. We investigated alphavirus-BBB interactions by pairing a physiologically-relevant, human pluripotent stem cell-derived model of brain microvascular endothelial cells (BMECs) with our model neuroinvasive SINV strains. Our system demonstrates that SINV neuroinvasion correlates with robust infection of the BBB. Specifically, SINV genetic determinants of neuroinvasion enhance viral entry into BMECs. We also identify solute carrier family 2 member 3 (SLC2A3, also named GLUT3) as a potential BMEC-specific entry factor exploited for neuroinvasion. Strikingly, efficient BBB infection is a conserved phenotype that correlates with the neuroinvasive capacity of several Old World alphaviruses, including chikungunya virus. Here, we reveal BBB infection as a shared pathway for alphavirus neuroinvasion that can be targeted for preventing alphavirus-induced encephalitis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE287658 | GEO | 2025/01/30

REPOSITORIES: GEO

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Project description:Next-generation sequencing (NGS) has significantly facilitated the analysis of the gene profile and elucidated the molecular mechanisms important for specific cell lineage differentiated from human pluripotent stem cells (hPSCs). Here we report the application of RNA-sequencing technology for transcriptome profile of primary human brain microvascular endothelial cells (BMECs) and hPSC-derived BMECs, and comparison of transcriptomes among cells, including hPSCs, mesodermal progenitors, ectodermal progenitors, endodermal progenitors, hBMECs and hPSC-derived BMECs from hPSCs. Four different BMEC samples differentiated from hPSCs by two different methods and hBMECs were performed in IIIumina HiSeq2500. The resulting sequence reads (about 20 million reads per sample) were mapped to human genome (hg19) using HISAT, and the RefSeq transcript levels (FPKMs) were quantified using the python script rpkmforgenes.py. We next analyzed the expression of a subset of genes that regulate key BBB attributes, including tight junctions and molecular transporters. The gene set comprises 20 tight junction-related genes and an unbiased list of all 25 CLDN genes, all 407 solute carrier (SLC) transporters, and all 53 ATP-binding cassette (ABC) transporters regardless of prior knowledge of BBB association. Primary human BMECs expressed 234 of these genes. BMECs differentiated from hPSCs via the defined method expressed many of these same genes (206 of 234 (88%)) as did BMECs differentiated via the UM method (208 of 234 (89%), indicating a close similarity between hPSC-derived BMECs and primary human BMECs with respect to transcripts having likely relevance to BBB function. RNA sequencing was used to compare global gene expression profiles in the hPSC-derived BMECs with BMECs generated from our previously reported co-differentiation system and primary human BMECs. As expected, hPSC-derived BMECs from three independent differentiations clustered closely and were similar to those generated from the undefined UM platform. Moreover, the hPSC-derived BMECs clustered with primary human BMECs and were distinct from undifferentiated hPSCs and hPSC-derived ectoderm, endoderm and mesodermThis study provides detailed transcriptome comparison between hBMECs and hPSC-derived BMECs and unveils important genes related BMEC phenotypes.

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Old World alphaviruses use distinct mechanisms to infect brain microvascular endothelial cells for neuroinvasion

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