Artificial intelligence identified a molecular signature of long COVID in children’s blood with 93% accuracy, according to a recent study.
RT’s Three Key Takeaways:
- AI Identifies Long COVID with High Accuracy: An artificial intelligence model using blood proteomic profiling identified long COVID in children with 93% accuracy, 86% specificity, and 97% sensitivity.
- Distinct Molecular Signature Found: Children with long COVID showed higher levels of specific pro-inflammatory and pro-angiogenic proteins, including CXCL11, CXCL8, and TNFSF11, in their blood plasma compared to control groups.
- Long COVID Impacts Pediatric Patients: Long COVID affects approximately 0.5% of children exposed to SARS-CoV-2, with older children over 10 years being the most affected regardless of the severity of their initial infection.
One day, long COVID in children could be objectively diagnosed with a blood test, thanks to the help of artificial intelligence (AI). In fact, a study has highlighted the molecular signature of long COVID in plasma in pediatric age and used an AI tool capable of making the diagnosis based on the results of the blood sample, with 93% accuracy.
The study, by the Università Cattolica del Sacro Cuore, Rome campus – Fondazione Policlinico Universitario Agostino Gemelli IRCCS and the Ospedale Pediatrico Bambino Gesù IRCCS, was published in Pediatric Research.
Long COVID affects on average 0.5% of pediatric patients exposed to SARS-CoV-2. This condition, also known as post COVID or post-acute sequelae of SARS-CoV-2, is characterized by the persistence of signs and symptoms for at least eight to 12 weeks, symptoms not present before the viral infection, with a negative impact on daily life. Long COVID affects patients of almost all age groups, and among pediatric patients those older than 10 years seem to be most affected, regardless of the severity of the initial infection.
Study Reveals Distinct Protein Markers for Long COVID in Children
The experts analyzed the blood of 112 young people aged 0-19 years, of whom 34 had a clinical diagnosis of long COVID, 32 had the active infection at the time of the study, 27 had multisystem inflammatory syndrome (MIS-C, a severe hyper-inflammatory reaction that almost always requires intensive care), and 19 healthy control peers.
The experts performed an analysis of the blood protein component (proteomics) and saw that, compared to the control groups, the pediatric long COVID was characterized by a higher presence in plasma of the pro-inflammatory and pro-angiogenic chemokine sets CXCL11, CXCL1, CXCL5, CXCL6, CXCL8, TNFSF11, OSM, STAMBP1a. An artificial intelligence model based on proteomic profiling was able to identify long Covid with an accuracy of 0.93, a specificity of 0.86, and a sensitivity of 0.97.
Long COVID in pediatric patients also presents a distinct protein signature in plasma, characterized by increased inflammation in general and at the level of blood vessel walls (endothelia), as already seen in adults. Researchers say the discovery could lead to the development of a simple routine diagnostic test based on a blood sample, allowing timely and complete care of pediatric patients with long COVID.
“The immunological data produced in this study provide the evidence needed to identify therapeutic targets to be tested in efficacy and safety studies in pediatric Long Covid,’ says Dr Nicola Cotugno of the Bambino Gesù Children’s Hospital, in a release.
“This work demonstrates incontrovertibly that long COVID, also in pediatric age, is an organic immune-mediated disease, for which new funding is needed to study the best therapeutic approaches,” adds Dr Danilo Buonsenso, a researcher in general and specialist pediatrics at the faculty of medicine and surgery of the Catholic University and pediatrician at the Pediatric Infectious Diseases Operative Unit of the Fondazione Policlinico Gemelli IRCCS, in a release.
ID 66079111 | Bed © Kaspars Grinvalds | Dreamstime.com