The special leave full pay they were granted when struck down during the early years of the pandemic is over
It is truly shocking to discover that nurses suffering from long Covid are facing real hardship. For months we stood on our doorsteps every week and applauded them for their dedication and bravery in going in to work to help care for Covid-19 patients.
There will be many ambulance staff, police officers, shop assistants and other essential workers in a similar position. But this hasn’t happened by some random piece of bad luck. We’re all to blame The Record’s Our Kids ... Our Future campaign was prompted by a torrent of online videos showing children being attacked. Fuelled by a hunger for online “likes”, attacks on teenagers are filmed then uploaded for entertainment.
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Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning - Molecular MedicineBackground Survivors of acute COVID-19 often suffer prolonged, diffuse symptoms post-infection, referred to as “Long-COVID”. A lack of Long-COVID biomarkers and pathophysiological mechanisms limits effective diagnosis, treatment and disease surveillance. We performed targeted proteomics and machine learning analyses to identify novel blood biomarkers of Long-COVID. Methods A case–control study comparing the expression of 2925 unique blood proteins in Long-COVID outpatients versus COVID-19 inpatients and healthy control subjects. Targeted proteomics was accomplished with proximity extension assays, and machine learning was used to identify the most important proteins for identifying Long-COVID patients. Organ system and cell type expression patterns were identified with Natural Language Processing (NLP) of the UniProt Knowledgebase. Results Machine learning analysis identified 119 relevant proteins for differentiating Long-COVID outpatients (Bonferonni corrected P | 0.01). Protein combinations were narrowed down to two optimal models, with nine and five proteins each, and with both having excellent sensitivity and specificity for Long-COVID status (AUC = 1.00, F1 = 1.00). NLP expression analysis highlighted the diffuse organ system involvement in Long-COVID, as well as the involved cell types, including leukocytes and platelets, as key components associated with Long-COVID. Conclusions Proteomic analysis of plasma from Long-COVID patients identified 119 highly relevant proteins and two optimal models with nine and five proteins, respectively. The identified proteins reflected widespread organ and cell type expression. Optimal protein models, as well as individual proteins, hold the potential for accurate diagnosis of Long-COVID and targeted therapeutics.
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