High throughput spatial immune mapping reveals an innate immune scar in post-COVID-19 brains.
Marius SchwabenlandDilara HasavciSibylle FraseKatharina WolfNikolaus DeigendeschJoerg M BuescherKirsten D MertzBenjamin OndruschkaHermann AltmeppenJakob MatschkeMarkus GlatzelStephan FrankRobert ThimmeJuergen BeckJonas A HospThomas BlankBertram BengschMarco PrinzPublished in: Acta neuropathologica (2024)
The underlying pathogenesis of neurological sequelae in post-COVID-19 patients remains unclear. Here, we used multidimensional spatial immune phenotyping and machine learning methods on brains from initial COVID-19 survivors to identify the biological correlate associated with previous SARS-CoV-2 challenge. Compared to healthy controls, individuals with post-COVID-19 revealed a high percentage of TMEM119 + P2RY12 + CD68 + Iba1 + HLA-DR + CD11c + SCAMP2 + microglia assembled in prototypical cellular nodules. In contrast to acute SARS-CoV-2 cases, the frequency of CD8 + parenchymal T cells was reduced, suggesting an immune shift toward innate immune activation that may contribute to neurological alterations in post-COVID-19 patients.
Keyphrases
- sars cov
- innate immune
- respiratory syndrome coronavirus
- high throughput
- machine learning
- coronavirus disease
- magnetic resonance
- high resolution
- single cell
- magnetic resonance imaging
- inflammatory response
- spinal cord injury
- nk cells
- spinal cord
- drug induced
- brain injury
- artificial intelligence
- deep learning
- respiratory failure
- aortic dissection
- psychometric properties