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Transcriptional signature of induced neurons differentiates virologically suppressed people with HIV from people without HIV
Philipp N. Ostermann, Youjun Wu, Scott A. Bowler, Samuel Martínez-Meza, Mohammad Adnan Siddiqui, David H. Meyer, Alberto Herrera, Brandon A. Sealy, Mega Sidharta, Kiran Ramnarine, Leslie Ann St. Bernard, Desiree Byrd, R. Brad Jones, Masahiro Yamashita, Douglas F. Nixon, Lishomwa C. Ndhlovu, Ting Zhou, Teresa H. Evering
Philipp N. Ostermann, Youjun Wu, Scott A. Bowler, Samuel Martínez-Meza, Mohammad Adnan Siddiqui, David H. Meyer, Alberto Herrera, Brandon A. Sealy, Mega Sidharta, Kiran Ramnarine, Leslie Ann St. Bernard, Desiree Byrd, R. Brad Jones, Masahiro Yamashita, Douglas F. Nixon, Lishomwa C. Ndhlovu, Ting Zhou, Teresa H. Evering
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Research Article AIDS/HIV Neuroscience

Transcriptional signature of induced neurons differentiates virologically suppressed people with HIV from people without HIV

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Abstract

Neurocognitive impairment is a prevalent comorbidity in virologically suppressed people living with HIV (PLWH), yet the underlying mechanisms remain elusive and treatments lacking. We explored use of participant-derived directly induced neurons (iNs) to model neuronal biology and injury in PLWH. iNs retain age- and disease-related donor features, providing unique opportunities to reveal important aspects of neurological disorders. We obtained primary dermal fibroblasts from 6 virologically suppressed PLWH and 7 matched people without HIV (PWOH). iNs were generated using transcription factors NGN2 and ASCL1 and validated by immunocytochemistry, single-cell RNA-Seq, and electrophysiological recordings. Transcriptomic aging analyses confirmed retention of donor age-related signatures. Bulk RNA-Seq identified 29 significantly differentially expressed genes between PLWH and PWOH iNs. Of these, 16 were downregulated and 13 upregulated in PLWH iNs. Protein-protein interaction network mapping indicated iNs from PLWH exhibited differences in extracellular matrix organization and synaptic transmission. IFI27 was upregulated in PLWH iNs, complementing independent postmortem studies demonstrating elevated IFI27 expression in PLWH-derived brain tissue. FOXL2NB-FOXL2-LINC01391 expression was reduced in PLWH iNs and negatively correlated with neurocognitive impairment. Thus, we identified an iN gene signature of HIV revealing mechanisms of neurocognitive impairment in PLWH.

Authors

Philipp N. Ostermann, Youjun Wu, Scott A. Bowler, Samuel Martínez-Meza, Mohammad Adnan Siddiqui, David H. Meyer, Alberto Herrera, Brandon A. Sealy, Mega Sidharta, Kiran Ramnarine, Leslie Ann St. Bernard, Desiree Byrd, R. Brad Jones, Masahiro Yamashita, Douglas F. Nixon, Lishomwa C. Ndhlovu, Ting Zhou, Teresa H. Evering

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Figure 2

iNs show neuronal gene expression and action potential firing and retain the biological age of their donors.

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iNs show neuronal gene expression and action potential firing and retain...
(A) MA plot based on bulk RNA sequencing showing differential gene expression of all iN samples after sorting for PSA-NCAM+ cells compared with UNA fibroblasts. (B) PCA plot showing clustering of iN- and UNA fibroblast–derived RNA samples after bulk analysis. (C) Top 5 ranked gene ontology (GO) terms of biological processes and cellular components associated with the significantly upregulated genes in iNs compared with UNA fibroblasts. (D) Raster plots showing electrical activity of iNs (left) or UNA fibroblasts (right) from donor 100-O1 analyzed by multi-electrode array. Vertical bars in black represent electrode spikes and in blue single-channel bursts (at least 5 spikes/s). Synchronized electrical-pulse (arrowheads; 500 mV for 100 μs, every 40 seconds) stimuli were applied via all electrodes to test for evoked activity. (E) Mean firing rate of iNs and UNA fibroblasts (including artifacts due to the applied electrical pulses). Statistical significance tested with unpaired, 2-tailed t test. Data presented as individual data points with mean ± SD and P value. (F and G) Median predicted transcriptomic age (scaled 0–1) across 16 RNAAgeCalc clocks (F) and of an ensemble of 100 stochastic clocks (G) plotted against chronological age for human iPSCs (green), UNA fibroblasts (brown), and iNs (pink). Transcriptomic data for the analysis of UNA fibroblasts and iNs were generated during this study, and data of iPSCs as control for age reset were derived from Mertens et al. 2015 (EMBL-EBI ArrayExpress: E-MTAB-3037) using publicly available data on healthy donors (n = 19) (17). (H) Proportion of PSA-NCAM+ cells between the 2 groups determined by flow-activated cell sorting analysis at day 21 of neuronal conversion. Statistical significance tested with unpaired, 2-tailed t test. Data presented as individual data points with mean ± SD and P value.

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