Common bone marrow signature in COVID-19-associated multisystem inflammatory syndrome in children: A first-wave small case series experience.
Maria Antonietta De IorisAlessia ScarselliClaudia BracagliaDaniela PerrottaStefania BernardiVeronica SantilliGiulia CeglieFrancesco FabozziChiara AgratiGiusi PrencipeRita AlaggioAngela MastronuzziRita De VitoPublished in: Pediatric blood & cancer (2022)
The hyper-inflammatory response, also known as multisystem inflammatory syndrome in children (MIS-C), represents a major concern in children with SARS-CoV-2 infection. We report bone marrow features of three patients with MIS-C who were diagnosed during the first wave of the SARS-CoV-2 pandemic. A bone marrow evaluation was performed at onset of the inflammatory condition in order to exclude secondary hemophagocytic lymphohistiocytosis (sHLH). The bone marrows of the patients presented common features: the erythroid and megakaryocytic lineages were prominently affected and hemophagocytosis was moderately increased, differently than observed in sHLH. Megakaryocytopoiesis was increased, representing a peculiar feature of MIS-C differing from sHLH. SARS-CoV-2 RT-PCR and viral panel were studied in bone marrow aspiration samples. MIS-C is a rare complication of SARS-CoV-2 infections in children. An immuno-dysregulation considering both innate and adaptive immunity together with vascular inflammation and endothelial dysfunction play a major role. Our observations, although limited due to the small sample size, suggest that there are unique features in the bone marrow of patients with MIS-C that are likely secondary to immuno-dysregulation, and there are notable differences in bone marrow features compared to those reported in sHLH.
Keyphrases
- bone marrow
- sars cov
- mesenchymal stem cells
- respiratory syndrome coronavirus
- young adults
- inflammatory response
- oxidative stress
- coronavirus disease
- end stage renal disease
- immune response
- machine learning
- peritoneal dialysis
- ejection fraction
- chronic kidney disease
- newly diagnosed
- lipopolysaccharide induced
- toll like receptor
- deep learning
- patient reported outcomes
- lps induced
- patient reported