Prolonged Detection of SARS CoV2 RNA in Extracellular Vesicles in Nasal Swab RT-PCR Negative Patients
Subudhi, P. D.; Rooge, S.; Thangriyal, S.; Aggarwal, R.; Gupta, E.; Baweja, S.
Show abstract
BackgroundThere is a prolonged RT-PCR positivity seen in COVID-19 infected patients up to 2-3 months. We aim to investigate the presence of viral particles inside Extracellular vesicles (EV) and its role in underlying liver disease patients. MethodsSARS CoV2 nasal RT-PCR positive n=78 {n=24(66.6%) chronic liver disease (CLD); n=52 (81.3%) non-liver disease} were studied. SARS CoV2 patients were also followed up for day (d) 7, 14 and 28. Extracellular vesicles were isolated using differential ultracentrifugation. SARS CoV2 RNA was measured using qRT-PCR by Altona Real Star kit. ResultsIn baseline RT-PCR positive patients, SARS-CoV2 RNA inside the EV was present in 64/74 (82%) patients with comparable viral load between VTM and EV (mean 1CT - 0.033{+/-}0.005 vs. 1CT - 0.029{+/-}0.014, p=ns). On follow-up at day 7, of the 24 patients negative for COVID19, 10 (41%) had persistence of virus in the EV (1CT - 0.028{+/-}0.004) and on day 14, 14 of 40 (35%) negative RT-PCR had EVs with SARS CoV2 RNA (1CT - 0.028{+/-}0.06). The mean viral load decreased at day7 and day14 in nasal swab from baseline (p=0.001) but not in EV. SARS-CoV2 RNA otherwise undetectable in plasma, was found to be positive in EV in 12.5% of COVID19 positive patients. Interestingly, significantly prolonged and high viral load was found in EV at day 14 in CLD-COVID19 patients compared to COVID19 alone (p=0.002). The high cellular injury was seen in CLD-COVID19 infected patients with significant high levels of EV associated with endothelial cells and hepatocytes than COVID19 alone (p=0.004; 0.001). ConclusionIdentification of SARS-CoV2 RNA in EV, in RT-PCR negative patients indicates persistence of infection for and likely recurrence of the infection. EV associated RNA may determine the clinical course of subjects with undetectable SARS-CoV2 virus and this may also have relevance in management of chronic liver disease patients.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- SARS-CoV-2 RNA shedding in recovered COVID-19 cases and the presence of antibodies against SARS-CoV-2 in recovered COVID-19 cases and close contacts 93%
- SARS-CoV-2 infection induces mixed M1/M2 phenotype in circulating monocytes and alterations in both dendritic cell and monocyte subsets 93%
- Title - Plasma-derived exosome-like vesicles are enriched in lyso-phospholipids and pass the blood-brain barrier 93%
Similar papers in this journal
- Relative expression of pro-inflammatory molecules in COVID-19 patients manifested disease severities 93%
- The antibody response to the glycan α-Gal correlates with COVID-19 disease symptoms 91%
- Genomics of Post-Vaccination SARS-CoV-2 Infections During the Delta Dominated Second Wave of COVID-19 Pandemic, from Mumbai Metropolitan Region (MMR), India 91%
Similar papers in this journal
- Clinical advancement of patients infected with SARS-CoV-2 Omicron variant in Shanghai, China 92%
- Prediction of SARS-CoV-2 Omicron Variant Immunogenicity, Immune Escape and Pathogenicity, through Analysis of Spike Protein-specific Core Unique Peptides 91%
- Immune response after SARS-CoV-2 infection with residual post COVID symptoms 91%
Similar papers in this journal
- Upregulation of Activation Induced Cell Markers (AIM) among Severe COVID-19 patients in Bangladesh 92%
- Circulatory Cytokines and Chemokines Profile in Human Coronaviruses: A systematic review and meta-analysis 92%
- Transcriptome analysis of PBMCs reveals distinct immune response in the asymptomatic and re-detectable positive COVID-19 patients 91%
Similar papers in this journal
- Investigating the potential role of capsaicin in facilitating the spread of coxsackievirus B3 via extracellular vesicles 93%
- An optimized workflow for analyzing extracellular vesicles as biomarkers in liver diseases. 92%
- Distinct exosomal miRNA profiles from BALF and lung tissue from COPD and IPF patients 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.