Multi-layered deep immune profiling, SARS-CoV-2 RNAemia and inflammation in unvaccinated COVID-19 individuals with persistent symptoms
Notice bibliographique
Résumé
Long-COVID immunopathogenesis involves diverse factors. We longitudinally characterize hospitalized COVID-19 patients, examining the role of SARS-CoV-2 RNAemia and inflammation in immune dysregulation. Hospitalized patients are evaluated during acute infection (T0), 3 months post-symptom onset (T1), and 3 years if symptoms persisted (T2). Immune profile includes characterization of SARS-CoV-2-specific/non-specific T/B cells (flow cytometry) and antibodies (ELISA, neutralization, ADCC). RNAemia and cytokines are quantified (RT-PCR, cytometric beads array) and correlated. Statistics: non-parametric cross-sectional, longitudinal and correlation analyses. Here we show 48 hospitalized individuals during acute COVID-19, 38 exhibit early persistent symptoms (EPS+) 3 months post-symptoms onset, 10 do not (EPS−). Groups are comparable for age, sex, co-morbidities. The EPS+ shows fatigue, dyspnoea, anosmia/dysgeusia, diarrhea, chronic pain, mnestic disorders. Over time, they show a reduction of neutralization ability and total SARS-CoV-2-specific CD4 T cells, with increased total CD4 TEMRA, and failure to increase RBD-specific B cells and IgA+ MBCs. EPS+ patients show higher levels of T0-IFN-γ + CD4 TEMRA, T1-IL-2 + CD4 TEM and T1-TNF-α + CD4 cTfh. In EPS+, baseline SARS-CoV-2 RNAemia positively correlates with CD4 TEMRA, follow-up SARS-CoV-2 RNAemia with ADCC. Among 38 EPS+ individuals at T1, 33 are evaluated 3 years after infection, 5 are lost at follow-up. 10/33 EPS+ show long-term symptoms (late persistent symptoms, EPS + LPS+), whereas 23/33 fully recover (EPS + LPS−). Antibodies, RNAemia, and cytokines show no differences between/within groups at any time point. Early persistent symptoms are associated with multi-layered SARS-CoV-2-specific/non-SARS-CoV-2-specific immune dysregulation. The shift towards non-Ag-specific TEMRA and ADCC trigger in EPS+ may relate to SARS-CoV-2 RNAemia. Early immune dysregulation does not associate with long-term persistent symptoms. Further research on SARS-CoV-2 RNAemia and early immune dysregulation is needed. After COVID-19 resolution, many individuals continue experiencing symptoms such as fatigue, shortness of breath, and cognitive issues, which limit their daily activities. The causes of persistent symptoms remain unclear, but poor immune control of infection is plausible. Our research examined two key elements in driving poor immune control, including the presence of virus in the blood and inflammation. For severely ill, hospitalized, unvaccinated individuals with long-lasting symptoms beyond three months after infection, our findings show a weak immune response against the virus that causes COVID-19. The presence of the virus in the blood may contribute to this issue. Understanding these mechanisms moves us closer to finding better treatments. Rovito et al. conduct deep immune profiling of hospitalized and unvaccinated individuals with persistent symptoms three months post COVID-19. They explore the role of SARS-CoV-2 RNAemia and peripheral inflammation in driving immune dysregulation, finding impaired responses in the humoral arm partially linked to RNAemia.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».