Publication date: Jul 19, 2024
This study investigated host responses to long COVID by following up with 89 of the original 144 cohorts for 1-year (N = 73) and 2-year visits (N = 57). Pulmonary long COVID, characterized by fibrous stripes, was observed in 8. 7% and 17. 8% of patients at the 1-year and 2-year revisits, respectively, while renal long COVID was present in 15. 2% and 23. 9% of patients, respectively. Pulmonary and renal long COVID at 1-year revisit was predicted using a machine learning model based on clinical and multi-omics data collected during the first month of the disease with an accuracy of 87. 5%. Proteomics revealed that lung fibrous stripes were associated with consistent down-regulation of surfactant-associated protein B in the sera, while renal long COVID could be linked to the inhibition of urinary protein expression. This study provides a longitudinal view of the clinical and molecular landscape of COVID-19 and presents a predictive model for pulmonary and renal long COVID.
Open Access PDF
| Concepts | Keywords |
|---|---|
| Covid | Clinical finding |
| Month | Machine learning |
| Proteomics | Omics |
| Renal | Respiratory medicine |
| Surfactant |
Semantics
| Type | Source | Name |
|---|---|---|
| disease | MESH | long COVID |
| disease | IDO | host |
| disease | MESH | COVID-19 |
| drug | DRUGBANK | Guanosine |
| drug | DRUGBANK | Coenzyme M |
| disease | MESH | chest pain |
| disease | MESH | taste disorders |
| disease | MESH | cognitive impairment |
| disease | IDO | blood |
| disease | VO | time |
| disease | MESH | sleep disorders |
| disease | MESH | alopecia |
| disease | MESH | abnormalities |
| disease | MESH | infections |
| disease | MESH | influenza |
| disease | VO | Viruses |
| disease | MESH | joint pain |
| disease | IDO | history |
| disease | MESH | chronic renal diseases |
| disease | IDO | symptom |
| disease | MESH | Dysosmia |
| disease | MESH | Dysphagia |
| disease | VO | organ |