
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 3, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 3, 2024
Language: Английский
COVID, Journal Year: 2025, Volume and Issue: 5(5), P. 65 - 65
Published: April 29, 2025
Background: The purpose of this study was to investigate the incidence and impact neuropsychological symptoms related long COVID syndrome better understand, characterize, treat symptoms. Methods: A retrospective chart review performed utilizing de-identified patient data obtained from UConn Health’s Long Clinic Recovery Center within Department Pulmonary, Critical Care, Sleep Medicine in Farmington, CT between March 2020 August 2022. total 155 patients were included, collected via standardized questionnaires. These included a systems, followed by physical examination further diagnostic testing treatment as indicated. Results: Of patients, many female (females n = 102 versus males 53) more than 60% 41 60 years age. This despite higher hospitalization rates (n 24, 45.3%) those over age 71 7, 70.0%). Most did report experiencing attributed syndrome, which unfortunately not correlate with modalities such brain imaging most cases. Conclusions: In aftermath COVID-19 pandemic, have been left lingering now defined syndrome. Our highlights extent neuropsychiatric symptom burden setting Pathophysiological mechanisms development certain cohorts are well understood, believed be secondary immune system dysregulation leading chronic inflammation.
Language: Английский
Citations
0Wiener klinische Wochenschrift, Journal Year: 2024, Volume and Issue: 136(21-22), P. 587 - 589
Published: Oct. 22, 2024
Language: Английский
Citations
0medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 6, 2024
Abstract Background Major depressive disorder (MDD) and its most severe phenotype, major dysmood (MDMD), are distinguished by the activation of immune-inflammatory response system, T cell activation, a relative regulatory suppression. Nevertheless, these immune data were not used to characterize features protein-protein interaction (PPI) network MDMD. Objectives To identify network’s nodes bottlenecks as well biological processes that overrepresented in PPI network, we conducted annotation, enrichment analyses. Results The analysis has identified following backbone genes: tumor necrosis factor-α (TNF), interleukin (IL)6, CXCL12, CXCL10, CCL5, cluster differentiation (CD)4, CD8A, human leukocyte antigen (HLA)-DR, FOXP3. A “cellular defense response”, an “immune system “a viral process involves protein with cytokines cytokine receptors” all highly associated network. chemokine TNF nuclear factor-κB (NFKB) pathways additional enriched Molecular complex detection extracted one component from data, including receptors “regulated RELA” (an NFKB subunit). Conclusions Viral may underlie cells networks Future research on pathogenesis MDMD MDD should examine whether which infections onset conditions, or reactivation is recurrence illness.
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 3, 2024
Language: Английский
Citations
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