| Literature DB >> 34962592 |
Josef Penkava1, Maximilian Muenchhoff2,3, Irina Badell2, Andreas Osterman2, Claire Delbridge4, Florian Niederbuchner5, Sarah Soliman6, Martina Rudelius6, Alexander Graf7, Stefan Krebs7, Helmut Blum7, Michael Ulbig8, Carmen Baumann8, Daniel Zapp8, Mathias Maier8, Oliver T Keppler2,3, Chris P Lohmann8, Stephan Ledderose6.
Abstract
PURPOSE: To detect SARS-CoV-2 RNA in post-mortem human eyes. Ocular symptoms are common in patients with COVID-19. In some cases, they can occur before the onset of respiratory and other symptoms. Accordingly, SARS-CoV-2 RNA has been detected in conjunctival samples and tear film of patients suffering from COVID-19. However, the detection and clinical relevance of intravitreal SARS-CoV-2 RNA still remain unclear due to so far contradictory reports in the literature.Entities:
Keywords: COVID-19; Conjunctivitis; Intraocular involvement; SARS-CoV-2; Vitreous sample
Mesh:
Substances:
Year: 2021 PMID: 34962592 PMCID: PMC8713040 DOI: 10.1007/s00417-021-05529-x
Source DB: PubMed Journal: Graefes Arch Clin Exp Ophthalmol ISSN: 0721-832X Impact factor: 3.117
Quantification of SARS-CoV-2 RNA and genome sequencing
| Pat. ID | CT numeric bronchial samples | Viral load bronchial samples (cp/ml) | Conjunctiva | CT numeric conjunctiva | Viral load conjunctiva (cp/ml) | Vitreous body | CT numeric vitreous body | Viral load vitreous body (cp/ml) | Pangolin lineage | GISAID accession ID |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 30.39 | 156,813 | - | NA | NA | + | 36.22 | 3015 | NA | NA |
| 2 | 13.63 | 4,361,119,298 | - | NA | NA | - | NA | NA | B.1.160 | EPI_ISL_1751567 |
| 3 | 29.99 | 205,648 | - | NA | NA | - | NA | NA | B.1.177 | EPI_ISL_1751564 |
| 4 | 30.97 | 105,842 | - | NA | NA | - | NA | NA | NA | NA |
| 5 | 30.89 | 111,739 | - | NA | NA | - | NA | NA | NA | NA |
| 6 | 18.35 | 548,819,077 | - | NA | NA | - | NA | NA | B.1.258 | EPI_ISL_2095237 |
| 7 | 27.36 | 1,222,593 | - | NA | NA | - | NA | NA | B.1.177 | EPI_ISL_1752145 |
| 8 | 34.59 | 9101 | - | NA | NA | - | NA | NA | NA | NA |
| 9 | 36.65 | 2253 | - | NA | NA | - | NA | NA | NA | NA |
| 10 | 16.33 | 2,157,884,964 | + | 31.21 | 89,952 | + | 32.75 | 31,674 | B.1.1.141 | EPI_ISL_1752180 |
| 11 | 31.89 | 56,735 | - | NA | NA | - | NA | NA | NA | NA |
| 12 | 21.44 | 67,587,939 | + | 32.03 | 51,599 | + | 27.14 | 1,419,189 | B.1.177 | EPI_ISL_1752212 |
| 13 | 26.72 | 1,886,556 | + | 31.29 | 85,205 | + | 32.04 | 51,250 | B.1.177 | EPI_ISL_1751846 |
| 14 | 24.00 | 11,921,143 | + | 36.69 | 2193 | + | 41.59 | 71 | B.1.177 | EPI_ISL_1751511 |
| 15 | 16.64 | 1,748,952,174 | + | 30.20 | 178,365 | - | NA | NA | B.1.1.7 | EPI_ISL_2094844 |
| 16 | 28.50 | 379,585 | + | 33.50 | 40,391 | - | NA | NA | B.1.1.7 | EPI_ISL_2095010 |
| 17 | 32.32 | 42,391 | + | 41.50 | 76 | - | NA | NA | B.1.160 | EPI_ISL_1752358 |
| 18 | 35.89 | 3771 | + | 37.20 | 1537 | - | NA | NA | B.1.1.7 | EPI_ISL_2095002 |
| 19 | 17.44 | 1,016,934,884 | + | 34.11 | 12,600 | + | 36.36 | 2761 | NA | NA |
| 20 | 26.75 | 1,848,583 | + | 32.78 | 43,556 | - | NA | NA | B.1.1.7 | EPI_ISL_2094634 |
CT cycle threshold, NA not applicable
Demographics and clinical characteristics
| Pat. ID | Sex | Age | Positive for (in days) | ICU | Time until autopsy (in hours) | Cause of death |
|---|---|---|---|---|---|---|
| 1 | F | 53 | 18 | y | 39 | Intracranial bleeding |
| 2 | M | 95 | 2 | n | 27 | Sepsis |
| 3 | M | 66 | 2 | y | 52 | Cardiorespiratory failure |
| 4 | M | 72 | 8 | n | 46 | Respiratory failure |
| 5 | F | 86 | 6 | n | 42 | Pulmonary embolism |
| 6 | M | 95 | 6 | n | 69 | Respiratory failure |
| 7 | F | 83 | 10 | n | 19 | Respiratory failure |
| 8 | F | 80 | 12 | n | 68 | Respiratory failure |
| 9 | F | 77 | 5 | n | 28 | Cardiorespiratory failure |
| 10 | M | 84 | 4 | n | 41 | Respiratory failure |
| 11 | M | 81 | 26 | y | 38 | Respiratory failure |
| 12 | M | 72 | 9 | y | 70 | Respiratory failure |
| 13 | M | 73 | 34 | y | 68 | Multiorgan failure |
| 14 | M | 59 | 94 | y | 31 | Multiorgan failure |
| 15 | F | 81 | 2 | n | 33 | Sepsis |
| 16 | M | 59 | 19 | y | 26 | Multiorgan failure |
| 17 | M | 52 | 28 | y | 46 | sepsis |
| 18 | M | 62 | 19 | y | 36 | Respiratory failure |
| 19 | M | 60 | 12 | n | 78 | Pulmonary embolism |
| 20 | M | 45 | 11 | y | 23 | Sepsis |
Fig. 1Viral loads of SARS-CoV-2 in conjunctival swabs and vitreous samples. (a) Viral loads are shown as SARS-CoV-2 ORF1ab copy numbers per ml for bronchial, conjunctival and vitreous samples. Results from the same patient are connected by a line. (b and c) Viral load levels of conjunctival and vitreous samples are shown in relation to bronchial samples. Spearman rank correlation tests are indicated
Fig. 2Phylogenetic relationship of SARS-CoV-2 post-mortem samples and samples from the Munich Metropolitean Area. Time-resolved maximum likelihood phylogeny of 2625 SARS-CoV-2 genomes from the larger Munich area obtained between March 2020 and February 2021. Nextstrain/Pangolin/WHO nomenclature clades are indicated above the main branches. The sequences of the cases in this study are indicated as colored dots. Cases with presence of SARS-CoV-2 RNA in the conjunctiva are marked by a black circle, and cases with detection of SARS-CoV-RNA in the vitreous body are indicated by a square. GISAID accession numbers for the cases of this study are shown in Table 2