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Leukocyte dynamics after intracerebral hemorrhage in a living patient reveal rapid adaptations to tissue milieu
Brittany A. Goods, … , Lauren H. Sansing, the ICHseq Investigators
Brittany A. Goods, … , Lauren H. Sansing, the ICHseq Investigators
Published March 22, 2021
Citation Information: JCI Insight. 2021;6(6):e145857. https://doi.org/10.1172/jci.insight.145857.
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Research Article Immunology Neuroscience

Leukocyte dynamics after intracerebral hemorrhage in a living patient reveal rapid adaptations to tissue milieu

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Abstract

Intracerebral hemorrhage (ICH) is a devastating form of stroke with a high mortality rate and few treatment options. Discovery of therapeutic interventions has been slow given the challenges associated with studying acute injury in the human brain. Inflammation induced by exposure of brain tissue to blood appears to be a major part of brain tissue injury. Here, we longitudinally profiled blood and cerebral hematoma effluent from a patient enrolled in the Minimally Invasive Surgery with Thrombolysis in Intracerebral Hemorrhage Evacuation trial, offering a rare window into the local and systemic immune responses to acute brain injury. Using single-cell RNA-Seq (scRNA-Seq), this is the first report to our knowledge that characterized the local cellular response during ICH in the brain of a living patient at single-cell resolution. Our analysis revealed shifts in the activation states of myeloid and T cells in the brain over time, suggesting that leukocyte responses are dynamically reshaped by the hematoma microenvironment. Interestingly, the patient had an asymptomatic rebleed that our transcriptional data indicated occurred prior to detection by CT scan. This case highlights the rapid immune dynamics in the brain after ICH and suggests that sensitive methods such as scRNA-Seq would enable greater understanding of complex intracerebral events.

Authors

Brittany A. Goods, Michael H. Askenase, Erica Markarian, Hannah E. Beatty, Riley S. Drake, Ira Fleming, Jonathan H. DeLong, Naomi H. Philip, Charles C. Matouk, Issam A. Awad, Mario Zuccarello, Daniel F. Hanley, J. Christopher Love, Alex K. Shalek, Lauren H. Sansing, the ICHseq Investigators

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Figure 3

Shifts in prevalence and phenotypes of T cells in hematoma effluent and blood over time.

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Shifts in prevalence and phenotypes of T cells in hematoma effluent and ...
(A) t-SNE plot showing reclustered T cells (n = 16,883 cells) from Figure 1. The reclustered t-SNE plot is colored by hematoma or blood (left), time after onset (middle), or T cell subcluster identity (right) determined by reclustering analysis. (B) Stacked frequency plot of new T cell clusters by hours after onset in blood and hematoma. (C) Top 10 significantly enriched IPA pathways for selected clusters. T cell subclusters 5, 3, and 1 emerge in hematoma, and T cell subclusters 4, 2, and 7 are found in blood. Remaining clusters are presented in Supplemental Figure 11. Subcluster 0 was defined by 2 marker genes (TXNIP and LTB). Pathways with 3 or more molecules in the query gene list are indicated by an asterisk. (D) t-SNE plots colored by each indicated module score.

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