Literature DB >> 32822564

Effects of a major deletion in the SARS-CoV-2 genome on the severity of infection and the inflammatory response: an observational cohort study.

Barnaby E Young1, Siew-Wai Fong2, Yi-Hao Chan3, Tze-Minn Mak4, Li Wei Ang5, Danielle E Anderson6, Cheryl Yi-Pin Lee3, Siti Naqiah Amrun3, Bernett Lee7, Yun Shan Goh3, Yvonne C F Su6, Wycliffe E Wei5, Shirin Kalimuddin8, Louis Yi Ann Chai9, Surinder Pada10, Seow Yen Tan11, Louisa Sun12, Purnima Parthasarathy13, Yuan Yi Constance Chen14, Timothy Barkham15, Raymond Tzer Pin Lin4, Sebastian Maurer-Stroh16, Yee-Sin Leo17, Lin-Fa Wang6, Laurent Renia3, Vernon J Lee18, Gavin J D Smith19, David Chien Lye20, Lisa F P Ng21.   

Abstract

BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants with a 382-nucleotide deletion (∆382) in the open reading frame 8 (ORF8) region of the genome have been detected in Singapore and other countries. We investigated the effect of this deletion on the clinical features of infection.
METHODS: We retrospectively identified patients who had been screened for the ∆382 variant and recruited to the PROTECT study-a prospective observational cohort study conducted at seven public hospitals in Singapore. We collected clinical, laboratory, and radiological data from patients' electronic medical records and serial blood and respiratory samples taken during hospitalisation and after discharge. Individuals infected with the ∆382 variant were compared with those infected with wild-type SARS-CoV-2. Exact logistic regression was used to examine the association between the infection groups and the development of hypoxia requiring supplemental oxygen (an indicator of severe COVID-19, the primary endpoint). Follow-up for the study's primary endpoint is completed.
FINDINGS: Between Jan 22 and March 21, 2020, 278 patients with PCR-confirmed SARS-CoV-2 infection were screened for the ∆382 deletion and 131 were enrolled onto the study, of whom 92 (70%) were infected with the wild-type virus, ten (8%) had a mix of wild-type and ∆382-variant viruses, and 29 (22%) had only the ∆382 variant. Development of hypoxia requiring supplemental oxygen was less frequent in the ∆382 variant group (0 [0%] of 29 patients) than in the wild-type only group (26 [28%] of 92; absolute difference 28% [95% CI 14-28]). After adjusting for age and presence of comorbidities, infection with the ∆382 variant only was associated with lower odds of developing hypoxia requiring supplemental oxygen (adjusted odds ratio 0·07 [95% CI 0·00-0·48]) compared with infection with wild-type virus only.
INTERPRETATION: The ∆382 variant of SARS-CoV-2 seems to be associated with a milder infection. The observed clinical effects of deletions in ORF8 could have implications for the development of treatments and vaccines. FUNDING: National Medical Research Council Singapore.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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Year:  2020        PMID: 32822564      PMCID: PMC7434477          DOI: 10.1016/S0140-6736(20)31757-8

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


Introduction

Since the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), efforts have been made to map the genetic diversity of the virus and to identify variants with a selective advantage. The variations of interest include changes in immune targets, such as the spike glycoprotein; changes in primer-binding and probe-binding sites, which can reduce the sensitivity of diagnostic tests; and genetic variations that might affect transmissibility and virulence.2, 3, 4 A SARS-CoV-2 variant with a 382-nucleotide deletion (Δ382) was detected in a cluster of cases in Singapore that occurred in January and February, 2020. The deletion truncates open reading frame (ORF) 7b and removes the ORF8 transcription-regulatory sequence, eliminating ORF8 transcription. This variant was successfully transmitted early during the epidemic, but was not detected after March, 2020. An identical Δ382 variant was also detected in February, 2020, in a traveller who returned from Wuhan, China, to Taiwan, and other SARS-CoV-2 isolates with different deletions in ORF8 have been reported from cases in Bangladesh (345 nucleotides), Australia (138 nucleotides) and Spain (62 nucleotides).5, 6 In severe acute respiratory syndrome coronavirus (SARS-CoV), the virus responsible for the 2002–03 SARS epidemic, a characteristic 29-nucleotide deletion (Δ29) in ORF8 occurred soon after its zoonotic transmission from civets to humans in 2002, and larger deletions of 82 nucleotides and 415 nucleotides in the same genomic region were also reported. The effects of these deletions on the course of the SARS epidemic is unknown. However, in-vitro studies have indicated that the Δ29 variant of SARS-CoV replicates less efficiently than the wild-type virus, and consequently this variant has been hypothesised to result in a milder clinical illness than that caused by the wild-type virus.8, 9 Evidence before this study Deletions in open reading frame 8 (ORF8) of severe acute respiratory syndrome coronavirus were commonly detected during the severe acute respiratory syndrome outbreak of 2002–03. These deletions reduced viral replication in vitro, and an attenuated severity of infection was hypothesised, although the effect of this deletion on clinical outcomes remains unknown. A 382-nucleotide deletion (Δ382) was detected in the genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from a cluster of infections in Singapore. A literature search was done through MEDLINE to July 27, 2020, using the keywords “coronavirus disease 2019”, “COVID-19”, “SARS-CoV-2”, “deletion”, and “ORF8”, with no language restrictions. An identical 382-nucleotide deletion in ORF8 was reported from in a traveller who returned from Wuhan to Taiwan in February, 2020. The clinical effect of this deletion was not described. Viruses with other deletions in the ORF8 region have also been described from Bangladesh (345 nucleotides), Australia (138 nucleotides) and Spain (62 nucleotides), but no accompanying clinical data are available. Added value of this study In this cohort study, we identified 39 patients across three transmission clusters in Singapore who were infected with the Δ382 variant of SARS-CoV-2. Ten (26%) harboured a mix of wild-type and ∆382-variant viruses, while 29 (74%) had only the ∆382 variant. A multivariable logistic regression model indicated that the variant was associated with less severe infection in terms of hypoxia requiring supplemental oxygen (adjusted odds ratio 0·07 [95% CI 0·00–0·48]). Patients infected with the Δ382 variant also had lower concentrations of proinflammatory cytokines, chemokines, and growth factors that are strongly associated with severe COVID-19. Implications of all the available evidence ORF8 is a hotspot for coronavirus mutation. The clinical effect of deletions in this region appears to be a milder infection with less systemic release of proinflammatory cytokines and a more effective immune response to SARS-CoV-2. Further study of these variants could have implications for development of treatments and vaccines. The biological function of the ORF8 protein in SARS-CoV-2 remains unclear. A recent study suggested that ORF8 mediates immune evasion by downregulating MHC-I molecules. A previously reported interactome analysis that used affinity-purification mass spectrometry also identified 47 human proteins—mainly associated with glycoprotein metabolism—that interact with ORF8, of which 15 are known drug targets. In-vitro evidence has suggested that the deletion does not affect viral replicative fitness, and an analysis of subgenomic RNA has shown that transcription of the ORF6 and N genes, known SARS-CoV interferon antagonists, is altered in Δ382 variants as compared with wild-type SARS-CoV-2.5, 6 In this study, we compared the clinical outcomes and immune responses of patients infected with wild-type and Δ382 SARS-CoV-2.

Methods

Study design and participants

We retrospectively identified individuals who had been screened for the ∆382 variant and recruited to the PROTECT study. PROTECT is a prospective observational cohort study done at seven public hospitals in Singapore (the National Centre for Infectious Diseases, Singapore General Hospital, National University Hospital, Ng Teng Fong General Hospital, Changi General Hospital, Alexandra Hospital, Khoo Teck Puat Hospital). The study aimed to recruit all individuals hospitalised at one of the participating hospitals with confirmed SARS-COV-2 infection for the purpose of clinical characterisation of COVID-19. The epidemiological investigation was implemented under the Infectious Diseases Act (Singapore). Written informed consent was obtained from participants who provided clinical data and biological samples (as part of the PROTECT study). Study protocols were approved by ethics committees of the National Healthcare Group (2012/00917) and SingHealth Centralised Institutional Review Board (2018/3045). Healthy donor samples were collected under study numbers 2017/2806 and NUS IRB 04-140. Work undertaken at the Duke–NUS Medical School ABSL3 laboratory was approved by the Singapore Ministry of Health.

Clinical data and biological sample collection

The electronic medical records of patients enrolled in the PROTECT study were reviewed and their data were entered onto a standardised collection form adapted from the International Severe Acute Respiratory and Emerging Infection Consortium's case record form for emerging severe acute respiratory infections. Serial blood and respiratory samples were collected during hospitalisation and post-discharge.

Clinical management

All patients with COVID-19 were isolated in hospital with airborne transmission precautions, regardless of disease severity. Supportive therapy including supplemental oxygen and symptomatic treatment were administered as required. Patients with moderate to severe hypoxia (defined as requiring a fraction of inspired oxygen ≥40%) were transferred to the intensive care unit for high-flow oxygen via nasal cannula and invasive mechanical ventilation if required. De-isolation was contingent on resolved symptoms and two consecutive nasopharyngeal swabs at least 24 h apart that were negative for SARS-CoV-2 on PCR.

Detection of ∆382 variant

To detect the 382-nucleotide deletion in the SARS-CoV-2 genome, we used two specific PCR primers (forward 5ʹ-TGTTAGAGGTACAACAGTACTTT-3ʹ; reverse 5ʹ-GGTAGTAGAAATACCATCTTGGA-3ʹ) flanking the deleted region. For samples with high cycle threshold (Ct) values, hemi-nested PCR was done with a second forward primer (5ʹ-TGTTTATAACACTTTGCTTCACA-3ʹ) and the same reverse primer as before. The PCR mixture contained the cDNA primers (10 μM each), 10 × Pfu reaction buffer (Promega, Madison, WI, USA), Pfu DNA polymerase (Promega), and 10 mM dNTP mix (Thermo Scientific, Waltham, MA, USA). PCR was done in a thermal cycler (Applied Biosystems Veriti, Foster City, CA, USA) with the following conditions: 95°C for 2 min, followed by 35 cycles at 95°C for 1 min, 52°C for 30 sec, and 72°C for 1 min; and a final extension at 72°C for 10 min. Deletions in the PCR products were visualised with use of a QIAxcel DNA screening cartridge on QIAxcel Advanced capillary electrophoresis system (Qiagen, Hilden, Germany).

Multiplex microbead-based immunoassay

Levels of specific immune mediators in the first plasma samples collected from patients with COVID-19 during hospitalisation were quantified by multiplex microbead-based immunoassays. Plasma samples were treated with 1% Triton X-100 solvent-detergent (SD) mix for virus inactivation. Immune mediator levels were measured with the Luminex assay using the Cytokine/Chemokine/Growth Factor 45-plex Human ProcartaPlex Panel 1 (ThermoFisher Scientific; appendix p 1). Patient samples with a concentration out of measurement range were assigned the value of the logarithmic transformation of the limit of quantification. Data analysis was done with Bio-Plex Manager 6.1.1 software. TM4-MeV Suite (version 10.2) was used to compute hierarchical clustering and generate a heatmap of immune mediators, scaling concentrations to between 0 and 1 for visualisation. Biological processes and immune pathways were predicted from the significant immune mediators with Ingenuity Pathway Analysis (version 52912811). Protein–protein interaction networks of these immune mediators and previously reported host proteins targeted by SARS-CoV-2 ORF8 were predicted and illustrated with the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database version 11.0). All these interactions were derived from high-throughput lab experiments and previous knowledge in curated databases at a confidence threshold of 0·5.

Epidemiological investigation

As part of the COVID-19 outbreak investigation in Singapore, all patients with SARS-CoV-2 infection were interviewed to elucidate activity histories from 14 days preceding symptom onset until isolation in hospital, including recent travel history and possible contact with confirmed cases. The Singapore Ministry of Health initiated contact tracing to identify close contacts (prolonged time within 2 m of a person with confirmed COVID-19) and other contacts who had significant interactions with the infected person. Active case finding was done to detect additional COVID-19 cases among these contacts.

Outcomes

The primary endpoint for this study was the proportion of patients who developed severe COVID-19, defined by hypoxia requiring supplemental oxygen. Secondary outcomes were the concentrations of immune mediators in plasma samples. All other clinical findings and viral PCR Ct values were exploratory outcomes.

Statistical analysis

Data processing and analysis were done in the R statistical language (version 3.3.1) and Stata version 15. We compared continuous variables with Mann-Whitney U or Kruskal-Wallis tests, and categorical variables with Fisher's exact test or χ2 test as appropriate. Exact logistic regression was used to examine the association between the SARS-CoV-2 infection group and the development of hypoxia (the primary outcome). The following covariates were considered for inclusion in the multivariable exact logistic regression model: age group (<45 years, 45–64 years, or ≥65 years), sex, Charlson Comorbidity Index group (0 or ≥1) and infection group (wild-type, Δ382 variant, or mixed wild-type and Δ382 variant). For the cytokine analysis, we compared logarithmically transformed concentrations between patients with ∆382 variant and those wild-type virus infections by use of an unpaired t-test. Plots were generated with GraphPad Prism software (version 8). All statistical tests were two-sided, and p values less than 0·05 were considered to indicate statistical significance. Adjustment for multiple testing was not done.

Role of the funding source

The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. LFPN, GJDS, and BEY had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Results

Of the 432 individuals diagnosed in Singapore with PCR-confirmed SARS-CoV-2 infection between Jan 22 and March 21, 2020, 276 (64%) had residual samples available for PCR analysis (appendix pp 2–4). SARS-CoV-2 was detected in samples from 251 (91%) of these individuals, among which the ∆382 variant was detected in 44 (18%). 131 (52%) of the 251 individuals screened for the ∆382 variant had been enrolled in the PROTECT study and had clinical data available for further analysis (appendix pp 5–6). Among them, 92 (70%) were infected with the wild-type virus only and 39 (30%) with the ∆382 variant (29 [74%] of whom had the ∆382 variant only and ten [26%] of whom had co-infection with the wild-type virus). Serial respiratory samples were available for four individuals, and capillary electrophoresis of PCR products showed the ∆382 variant replacing wild-type virus as infection progressed into the second week from symptom onset (figure 1 ).
Figure 1

Capillary electrophoresis of the ORF8 gene showing differences across the duration of disease in four patients co-infected with wild-type and the Δ382 variant of severe acute respiratory syndrome coronavirus 2

Approximate band sizes were 880 bp for the wild-type virus and 500 bp for the Δ382 variant. Nuclease-free water was used as a non-template negative control for PCR1. This resultant reaction was used as the negative control for the nested reaction. Δ382=382-nucleotide deletion. M=100-bp marker.

Capillary electrophoresis of the ORF8 gene showing differences across the duration of disease in four patients co-infected with wild-type and the Δ382 variant of severe acute respiratory syndrome coronavirus 2 Approximate band sizes were 880 bp for the wild-type virus and 500 bp for the Δ382 variant. Nuclease-free water was used as a non-template negative control for PCR1. This resultant reaction was used as the negative control for the nested reaction. Δ382=382-nucleotide deletion. M=100-bp marker. Infection groups were similar by sex and comorbidities (table 1 ). Comparing the ∆382-variant only group with the wild-type only group, those infected with the ∆382 variant were younger overall, with only one (3%) patient aged 65 years or older, in contrast to ten (11%) in the wild-type only group. Patients with ∆382-variant infection presented later after symptom onset, with a lower median temperature, and with less systemic inflammation according to baseline laboratory investigations than the wild-type only group (table 1). SARS-CoV-2 PCR Ct value from the first respiratory sample was lower from wild-type versus ∆382 infections though this difference was not apparent after adjusting for day of sample collection (appendix p 7).
Table 1

Demographic and clinical characteristics of patients infected with Δ382 variant SARS-CoV-2, wild-type SARS-CoV-2, or both

Δ382 variant only (n=29)Mixed Δ382 variant and wild-type (n=10)Wild-type only (n=92)p value*p value
Patient characteristics
Median age, years37 (27–53)46 (39–56)47 (35–61)0·0410·018
Age group, years······0·190·17
<4519 (66%)5 (50%)43 (47%)····
45–649 (31%)5 (50%)39 (42%)····
≥651 (3%)0 (0%)10 (11%)····
Sex······0·610·52
Female10 (34%)3 (30%)39 (42%)····
Male19 (66%)7 (70%)53 (58%)····
Chinese ethnicity22 (76%)7 (70%)67 (73%)0·920·81
Charlson Comorbidity Index0 (0–0)0 (0–0)0 (0–0)0·640·51
Diabetes1 (3%)0 (0%)11 (12%)0·220·29
Baseline symptoms and findings
Duration of symptoms, days6 (3–9)6 (5–98)4 (2–7)0·0610·036
Fever17 (59%)1 (10%)72 (78%)0·0540·05
Cough20 (69%)7 (70%)62 (67%)0·981·00
Dyspnoea1 (3%)2 (20%)15 (16%)0·180·11
Sore throat15 (52%)5 (50%)37 (40%)0·500·29
Rhinorrhoea10 (34%)2 (20%)21 (23%)0·420·22
Heart rate (beats per min)85 (74–97)80 (77–108)92 (83–100)0·260·78
Systolic blood pressure, mm Hg136 (122–145)131 (128–139)133 (120–146)0·770·49
Respiratory rate, breaths per min18 (18–18)18 (16–20)18 (17–19)0·920·68
Oxygen saturation, %98 (97–99)98·5 (96–99)98 (96–98)0·150·06
Temperature, °C37·1 (36·6–37·7)37·8 (37–38·5)37·7 (37·2–38·3)0·00640·0013
Neutrophils, ×109/L2·6 (2·0–3·3)2·6 (2·3–4·4)3·1 (2·1–4·1)0·500·24
Lymphocytes, ×109/L1·3 (0·9–1·9)1·2 (0·8–2·0)1·1 (0·8–1·5)0·220·079
Platelet, ×109/L193 (173–245)206 (159–275)190 (147–241)0·400·21
C-reactive protein concentration, mg/L5·6 (2·1–10·7); n=2513·7 (11·7–180); n=711·6 (3·0–47·4); n=860·0180·023
Lactate dehydrogenase concentration, U/L388 (341–509); n=27375 (352–474); n=10463 (368–616); n=860·100·041
Alanine aminotransferase concentration, U/L26 (15–36); n=2236 (24–84); n=729 (19–50); n=740·290·31
Creatinine concentration, μmol64 (51–79); n=2486 (71–93); n=868 (55–83); n=800·100·35
Ct value of first nasopharyngeal SARS-CoV-2 PCR29·2 (24·8–34·2)26·2 (21·0–29·5)25·6 (21·6–30·6)0·110·040
Outcomes
Pneumonia15 (52%)5 (50%)47 (51%)1·001·00
Hypoxia requiring supplemental oxygen0 (0%)3 (30%)26 (28%)0·00500·0013
Intensive care unit admission0 (0%)3 (30%)15 (16%)0·0250·021
Invasive mechanical ventilation0 (0%)3 (30%)10 (11%)0·0200·12
Death0 (0%)0 (0%)2 (2%)0·651·00

Data are median (IQR) or n (%). p values are from Kruskal-Wallis test (for continuous variables) or χ2 test (for categorical variables). Δ382=382-nucleotide deletion. SARS-CoV-2=severe acute respiratory syndrome coronavirus 2. Ct=cycle threshold.

Δ382 variant only group versus wild-type only group versus mixed Δ382 variant and wild-type group.

Δ382 variant only group versus wild-type only group.

Demographic and clinical characteristics of patients infected with Δ382 variant SARS-CoV-2, wild-type SARS-CoV-2, or both Data are median (IQR) or n (%). p values are from Kruskal-Wallis test (for continuous variables) or χ2 test (for categorical variables). Δ382=382-nucleotide deletion. SARS-CoV-2=severe acute respiratory syndrome coronavirus 2. Ct=cycle threshold. Δ382 variant only group versus wild-type only group versus mixed Δ382 variant and wild-type group. Δ382 variant only group versus wild-type only group. Clinical outcomes were considerably better in patients infected with the ∆382-variant than with the wild-type virus. Although rates of pneumonia visualised on chest radiograph were similar across all three infection groups, fewer patients required supplemental oxygen in the ∆382-variant only group (0 [0%] of 29) than in the ∆382-variant and wild-type co-infection group (three [30%] of ten) and the wild-type only group (26 [28%] of 92; absolute difference 28% [95% CI 14–28]; p=0·0050 [χ2 test]; table 1). After adjustment for age group and presence of comorbidities, patients infected with the ∆382-variant had lower odds of developing hypoxia (adjusted odds ratio 0·07 [95% CI 0·00–0·48]; table 2 ) compared with those infected with wild-type virus.
Table 2

Exact logistic regression analysis of candidate predictors for hypoxia requiring supplemental oxygen

Univariable model
Multivariable model*
OR (95% CI)p valueAdjusted OR (95% CI)p value
Age, years
<451 (ref)··1 (ref)··
45–645·77 (1·84–21·73)0·00123·65 (1·04–14·79)0·042
≥6513·95 (2·59–85·09)0·00128·05 (1·16–62·62)0·033
Sex
Female1 (ref)······
Male1·51 (0·58–4·17)0·49····
Charlson Comorbidity Index
01 (ref)··1 (ref)··
≥17·88 (2·67–24·31)0·00016·36 (1·76–25·68)0·0030
Infection
Wild-type only1 (ref)··1 (ref)··
Δ382 variant only0·07 (0·00–0·40)0·00080·07 (0·00–0·48)0·0035
Mixed Δ382 and wild-type1·15 (0·18–5·53)1·001·78 (0·22–11·02)0·75

Δ382=382-nucleotide deletion. OR=odds ratio.

Adjusted for age, Charlson Comorbidity Index, and infection group.

As the conditional maximum likelihood estimate is unbounded (ie, infinite), the median unbiased estimate (ie, regression estimate that places the observed sufficient statistic at the median of the conditional distribution) is computed.

Exact logistic regression analysis of candidate predictors for hypoxia requiring supplemental oxygen Δ382=382-nucleotide deletion. OR=odds ratio. Adjusted for age, Charlson Comorbidity Index, and infection group. As the conditional maximum likelihood estimate is unbounded (ie, infinite), the median unbiased estimate (ie, regression estimate that places the observed sufficient statistic at the median of the conditional distribution) is computed. Plasma samples were available for 97 patients: 64 (66%) patients infected with wild-type virus, 25 (26%) with the ∆382-variant, and eight (8%) with mixed wild-type and ∆382-variant infection (figure 2 ). Higher concentrations of IFN-γ and lower concentrations of the chemokines IP-10 (CXCL10), MCP-1 (CCL2), and MIP-1β (CCL4) and the anti-inflammatory protein IL-1RA were detected in patients with the ∆382-variant compared with patients with the wild-type virus (figure 3 ; appendix pp 8–10) at median 8 days after symptom onset (IQR 4–11). Notably, patients infected with the ∆382 variant had lower concentrations of growth factors associated with lung injury and regeneration, including HGF, LIF, and VEGF-A, and higher concentrations of PIGF-1 (PGF) and RANTES (CCL5).
Figure 2

Concentrations of 45 immune mediators quantified using a 45-plex microbead-based immunoassay

Heatmap of immune mediator levels in plasma samples of patients infected with either wild-type (n=64), Δ382 variant (n=25), or mixed wild-type and Δ382 variant severe acute respiratory syndrome coronavirus 2 (n=8; indicated by asterisks in figure) during the first collection timepoint upon hospital admission (median 8 days from symptom onset). Each colour represents the relative concentration of a particular analyte (blue=low concentration; red=high concentration). Δ382=382-nucleotide deletion.

Figure 3

Chain of transmission between cases as established by epidemiological investigations

Δ382=382-nucleotide deletion. *Possible epidemiological links were identified when individuals with COVID-19 had a common physical location or timing but direct interaction could not be clearly established; possible epidemiological links would also reflect transmissions that have arisen from close contact between a case and a few possible sources in the same cluster.

Concentrations of 45 immune mediators quantified using a 45-plex microbead-based immunoassay Heatmap of immune mediator levels in plasma samples of patients infected with either wild-type (n=64), Δ382 variant (n=25), or mixed wild-type and Δ382 variant severe acute respiratory syndrome coronavirus 2 (n=8; indicated by asterisks in figure) during the first collection timepoint upon hospital admission (median 8 days from symptom onset). Each colour represents the relative concentration of a particular analyte (blue=low concentration; red=high concentration). Δ382=382-nucleotide deletion. Chain of transmission between cases as established by epidemiological investigations Δ382=382-nucleotide deletion. *Possible epidemiological links were identified when individuals with COVID-19 had a common physical location or timing but direct interaction could not be clearly established; possible epidemiological links would also reflect transmissions that have arisen from close contact between a case and a few possible sources in the same cluster. Stratifying by disease severity, T-cell activation-associated cytokines (IFN-γ, TNF-α, IL-2, and IL-5) were upregulated in patients without pneumonia who were infected with the ∆382 variant versus wild-type virus, while growth factors associated with lung injury (HGF, LIF, and VEGF-A) were lower (appendix p 11). Ingenuity Pathway Analysis of these immune mediators highlighted several canonical pathways—including communication between immune cells, pattern recognition receptor, and T-helper cell differentiation—in the top ten ranking (appendix p 12). Further protein–protein interaction network analyses with STRING highlighted interactions of these mediators with host proteins involved in endoplasmic reticulum-associated protein degradation, focal adhesion in platelet activation, and T cell-mediated immunity (appendix p 12). Our epidemiological investigation showed that SARS-CoV-2 ∆382 variants were first detected in three Chinese nationals who arrived in Singapore from Wuhan, China, on the same flight (cases A1–A3; figure 3). Two of these individuals (A2 and A3) were a couple, and the third was unrelated. Among 114 individuals with infections acquired overseas who were screened, only these three had the ∆382 variant, representing 15% of the 20 imported cases from China. In all three cases, both wild-type and ∆382 viruses were detected. The ∆382 variant was detected in a further 39 individuals across three known local transmission clusters (clusters A, B, and C) as well as in two unlinked cases. These three clusters were independently established through epidemiological investigation before genotypic information was available. In all cases within those three clusters, the individuals were infected with the ∆382 variant, while those in the other contemporaneous clusters consisted only of the wild-type virus. Two of the visitors from Wuhan (cases A2 and A3) were primary cases of cluster A, in which several generations of transmission occurred across two churches and a household. Clusters B and C occurred during the same period at the tail-end of cluster A. No links to importation were previously established and it was uncertain how the infection was introduced to these two clusters. Cluster B occurred at a worksite and involved several foreign workers, and the individual in the first case (B1) had no known contact with other previous cases. The primary case (C1) of cluster C, in which all transmission was thought to occur in a workplace setting, had no known links to other previous cases. In one of the unlinked cases of infection with the ∆382 variant (case A4), the individual lived in the same residential complex as an infected household unit in cluster A, but no direct interaction or exposure was identified during epidemiological investigation. The case was considered plausibly linked, but transmission could not be substantiated before genotyping was done. In three individuals (cases A7, A8, and C3), co-infection with wild-type virus and the ∆382 variant was observed, despite four individuals earlier in these transmission chains apparently being infected only with the ∆382 variant (cases A5, A6, C1, C2). No epidemiological link to other known COVID-19 cases was uncovered to indicate that the three co-infections were due to independent infections by two viruses. However, in the four earlier cases, the individuals were diagnosed 8–16 days after symptom onset, and it is therefore plausible that a co-infection was present earlier in the infection but not detected because of delayed respiratory sampling.

Discussion

The Δ382 variant of SARS-CoV-2, which emerged in Wuhan early in the pandemic and was exported to Singapore and Taiwan, was transmitted as a co-infection with the wild-type virus, and became the dominant virus in the second week of illness. The ∆382 variant causes clinically significant illness, including pneumonia, but infections tended to be milder compared with those caused by the wild-type virus, with less pronounced cytokine release during the acute phase of infection. The observed attenuated clinical features further suggest that ORF8 is a possible target for therapeutic intervention and for the development of a SARS-CoV-2 controlled human infection model. We observed that patients infected with the ∆382 variant had lower concentrations of proinflammatory cytokines, chemokines, and growth factors that are strongly associated with severe COVID-19.15, 16 Notably, patients with pneumonia from the ∆382 variant had higher concentrations of SDF-1α, which is usually downregulated during hypoxia. These findings corroborated our clinical observations that patients infected with the ∆382 variant had better clinical outcomes, as shown by the lower proportion of patients in the ∆382 variant group who had hypoxia requiring supplemental oxygen. The in-vitro replication kinetics of the ∆382 variant are similar to those of wild-type SARS-CoV-2, consistent with the viral loads observed in these patients, indicating that the ORF8 deletion does not reduce replicative fitness. This finding is contrary to the reduced replication observed in SARS-CoV viruses with an ORF8 deletion. Further analysis of immune mediator profiles in patients with mild symptoms revealed that patients infected with ∆382 variants had more effective T-cell responses and platelet regulation during the early phase of the infection. T-cell responses are severely impaired in patients with SARS-CoV-2 infection. Lymphopenia and functional exhaustion of T cells correlate with disease severity in COVID-19. The more robust production of IFN-γ during the early phase of the infection, which was observed in patients infected with the ∆382 variant, could promote and maintain the effector functions of T cells, which might mediate rapid and effective antibody responses against SARS-CoV-2.21, 22 SARS-CoV-2 ORF8 targets host proteins in endoplasmic reticulum quality control, extracellular matrix organisation, and glycosaminoglycan synthesis. Our STRING analysis showed that host proteins in endoplasmic reticulum trafficking are interacting partners pivotal to multiple pathways in T-cell-mediated immunity and platelet regulation. This finding is consistent with an interaction between the viral protein encoded by ORF8 and host MHC-I leading to downregulation of cytotoxic CD8 T-lymphocyte-mediated antiviral activity. Given the important roles of ORF8 in mediating SARS-CoV-2 immune evasion, inhibition of its function could be investigated as a potential therapeutic strategy. The repeated emergence of SARS-CoV-2 viruses with a deletion in ORF8 suggests this region is important for viral adaptation to humans. Studies have reported that ORF8 is strongly immunogenic, and that antibodies are produced against ORF8 early during SARS-CoV-2 infection. Significant CD4-positive and CD8-positive T-cell responses to ORF8 have also been described in patients who recover from COVID-19. Our analysis of serial respiratory samples from patients with wild-type and ∆382 variant co-infection suggested that the ∆382 variant out-competed the wild-type virus. The disappearance of ∆382 variants in Singapore, Taiwan, and presumably China could be attributed to infection control measures. However, ∆382 variants might also be less effective at establishing infection in a new host because of the loss of the immune evasion functions of ORF8. Importantly, genomic data indicate that the ∆382 variants are not related to the D614G clade, which might or might not exhibit altered virus transmissibility, but belong to early outbreak sequences for which no significant difference in transmissibility is observed. Our study has a number of limitations. First, respiratory samples for SARS-CoV-2 PCR were collected as part of routine clinical care. We did not have samples from early in the course of the illness for many patients, and some patients' samples were not available. Second, although every effort was made to corroborate epidemiological data, the data are subject to recall bias and linkages might have been missed or incorrectly inferred. Third, we adjusted for known major determinants of severe COVID-19 in the multivariable model, but there might have been unmeasured confounders that could explain some of the differences in clinical outcomes. The presence of transmission clusters can also amplify bias, and it is possible that recruited patients were not representative of their infection groups. Fourth, some mixed wild-type and ∆382 variant infections are suspected from epidemiological linkage but were undetected by PCR. This could reflect limitations of this assay for detecting mixed infection, or virological sampling only later in the course of infection. Finally, blood samples were collected as early as possible in the course of the illness, but inevitably they were not available on the same day post-infection or symptom onset. In summary, ORF8 is a hotspot for genetic variation in coronaviruses. The clinical effect of deletions in this region appears to be a milder infection with less systemic release of proinflammatory cytokines. Further study of these variants could improve our understanding of SARS-CoV-2 virology and pathogenesis and could have implications for the development of treatments and vaccines.
  156 in total

1.  Characteristics of patients with novel coronavirus disease (COVID-19) during the first surge versus the second surge of infections in Osaka Prefecture, Japan.

Authors:  Taro Takeuchi; Tetsuhisa Kitamura; Atsushi Hirayama; Yusuke Katayama; Takeshi Shimazu; Tomotaka Sobue
Journal:  Glob Health Med       Date:  2021-04-30

2.  COVID-19 Mortality Rates Among Nursing Home Residents Declined From March To November 2020.

Authors:  Cyrus M Kosar; Elizabeth M White; Richard A Feifer; Carolyn Blackman; Stefan Gravenstein; Orestis A Panagiotou; Kevin McConeghy; Vincent Mor
Journal:  Health Aff (Millwood)       Date:  2021-03-11       Impact factor: 6.301

3.  Evolution and Epidemiology of SARS-CoV-2 Virus.

Authors:  Yu-Nong Gong; Kuo-Ming Lee; Shin-Ru Shih
Journal:  Methods Mol Biol       Date:  2022

4.  Chimeric spike mRNA vaccines protect against Sarbecovirus challenge in mice.

Authors:  David R Martinez; Alexandra Schäfer; Sarah R Leist; Gabriela De la Cruz; Ande West; Elena N Atochina-Vasserman; Lisa C Lindesmith; Norbert Pardi; Robert Parks; Maggie Barr; Dapeng Li; Boyd Yount; Kevin O Saunders; Drew Weissman; Barton F Haynes; Stephanie A Montgomery; Ralph S Baric
Journal:  Science       Date:  2021-06-22       Impact factor: 47.728

5.  Epidemiological correlation between COVID-19 epidemic and prevalence of α-1 antitrypsin deficiency in the world.

Authors:  Hiroshi Yoshikura
Journal:  Glob Health Med       Date:  2021-04-30

6.  Comparative host-coronavirus protein interaction networks reveal pan-viral disease mechanisms.

Authors:  David E Gordon; Joseph Hiatt; Mehdi Bouhaddou; Veronica V Rezelj; Svenja Ulferts; Hannes Braberg; Alexander S Jureka; Kirsten Obernier; Jeffrey Z Guo; Jyoti Batra; Robyn M Kaake; Andrew R Weckstein; Tristan W Owens; Meghna Gupta; Sergei Pourmal; Erron W Titus; Merve Cakir; Margaret Soucheray; Michael McGregor; Zeynep Cakir; Gwendolyn Jang; Matthew J O'Meara; Tia A Tummino; Ziyang Zhang; Helene Foussard; Ajda Rojc; Yuan Zhou; Dmitry Kuchenov; Ruth Hüttenhain; Jiewei Xu; Manon Eckhardt; Danielle L Swaney; Jacqueline M Fabius; Manisha Ummadi; Beril Tutuncuoglu; Ujjwal Rathore; Maya Modak; Paige Haas; Kelsey M Haas; Zun Zar Chi Naing; Ernst H Pulido; Ying Shi; Inigo Barrio-Hernandez; Danish Memon; Eirini Petsalaki; Alistair Dunham; Miguel Correa Marrero; David Burke; Cassandra Koh; Thomas Vallet; Jesus A Silvas; Caleigh M Azumaya; Christian Billesbølle; Axel F Brilot; Melody G Campbell; Amy Diallo; Miles Sasha Dickinson; Devan Diwanji; Nadia Herrera; Nick Hoppe; Huong T Kratochvil; Yanxin Liu; Gregory E Merz; Michelle Moritz; Henry C Nguyen; Carlos Nowotny; Cristina Puchades; Alexandrea N Rizo; Ursula Schulze-Gahmen; Amber M Smith; Ming Sun; Iris D Young; Jianhua Zhao; Daniel Asarnow; Justin Biel; Alisa Bowen; Julian R Braxton; Jen Chen; Cynthia M Chio; Un Seng Chio; Ishan Deshpande; Loan Doan; Bryan Faust; Sebastian Flores; Mingliang Jin; Kate Kim; Victor L Lam; Fei Li; Junrui Li; Yen-Li Li; Yang Li; Xi Liu; Megan Lo; Kyle E Lopez; Arthur A Melo; Frank R Moss; Phuong Nguyen; Joana Paulino; Komal Ishwar Pawar; Jessica K Peters; Thomas H Pospiech; Maliheh Safari; Smriti Sangwan; Kaitlin Schaefer; Paul V Thomas; Aye C Thwin; Raphael Trenker; Eric Tse; Tsz Kin Martin Tsui; Feng Wang; Natalie Whitis; Zanlin Yu; Kaihua Zhang; Yang Zhang; Fengbo Zhou; Daniel Saltzberg; Anthony J Hodder; Amber S Shun-Shion; Daniel M Williams; Kris M White; Romel Rosales; Thomas Kehrer; Lisa Miorin; Elena Moreno; Arvind H Patel; Suzannah Rihn; Mir M Khalid; Albert Vallejo-Gracia; Parinaz Fozouni; Camille R Simoneau; Theodore L Roth; David Wu; Mohd Anisul Karim; Maya Ghoussaini; Ian Dunham; Francesco Berardi; Sebastian Weigang; Maxime Chazal; Jisoo Park; James Logue; Marisa McGrath; Stuart Weston; Robert Haupt; C James Hastie; Matthew Elliott; Fiona Brown; Kerry A Burness; Elaine Reid; Mark Dorward; Clare Johnson; Stuart G Wilkinson; Anna Geyer; Daniel M Giesel; Carla Baillie; Samantha Raggett; Hannah Leech; Rachel Toth; Nicola Goodman; Kathleen C Keough; Abigail L Lind; Reyna J Klesh; Kafi R Hemphill; Jared Carlson-Stevermer; Jennifer Oki; Kevin Holden; Travis Maures; Katherine S Pollard; Andrej Sali; David A Agard; Yifan Cheng; James S Fraser; Adam Frost; Natalia Jura; Tanja Kortemme; Aashish Manglik; Daniel R Southworth; Robert M Stroud; Dario R Alessi; Paul Davies; Matthew B Frieman; Trey Ideker; Carmen Abate; Nolwenn Jouvenet; Georg Kochs; Brian Shoichet; Melanie Ott; Massimo Palmarini; Kevan M Shokat; Adolfo García-Sastre; Jeremy A Rassen; Robert Grosse; Oren S Rosenberg; Kliment A Verba; Christopher F Basler; Marco Vignuzzi; Andrew A Peden; Pedro Beltrao; Nevan J Krogan
Journal:  Science       Date:  2020-10-15       Impact factor: 47.728

7.  Initial Insights Into the Genetic Epidemiology of SARS-CoV-2 Isolates From Kerala Suggest Local Spread From Limited Introductions.

Authors:  Chandni Radhakrishnan; Mohit Kumar Divakar; Abhinav Jain; Prasanth Viswanathan; Rahul C Bhoyar; Bani Jolly; Mohamed Imran; Disha Sharma; Mercy Rophina; Gyan Ranjan; Paras Sehgal; Beena Philomina Jose; Rajendran Vadukkoot Raman; Thulaseedharan Nallaveettil Kesavan; Kalpana George; Sheela Mathew; Jayesh Kumar Poovullathil; Sajeeth Kumar Keeriyatt Govindan; Priyanka Raveendranadhan Nair; Shameer Vadekkandiyil; Vineeth Gladson; Midhun Mohan; Fairoz Cheriyalingal Parambath; Mohit Mangla; Afra Shamnath; Sridhar Sivasubbu; Vinod Scaria
Journal:  Front Genet       Date:  2021-03-17       Impact factor: 4.599

8.  Manipulation of the unfolded protein response: A pharmacological strategy against coronavirus infection.

Authors:  Liliana Echavarría-Consuegra; Georgia M Cook; Idoia Busnadiego; Charlotte Lefèvre; Sarah Keep; Katherine Brown; Nicole Doyle; Giulia Dowgier; Krzysztof Franaszek; Nathan A Moore; Stuart G Siddell; Erica Bickerton; Benjamin G Hale; Andrew E Firth; Ian Brierley; Nerea Irigoyen
Journal:  PLoS Pathog       Date:  2021-06-17       Impact factor: 6.823

9.  Decreased Mortality Over Time During the First Wave in Patients With COVID-19 in Geriatric Care: Data From the Stockholm GeroCovid Study.

Authors:  Hong Xu; Sara Garcia-Ptacek; Martin Annetorp; Tommy Cederholm; Georg Engel; Malin Engström; Håkan Erlandsson; Charlotte Julius; Miia Kivipelto; Lars Göran Lundberg; Carina Metzner; Linda Sandberg; Josefina Skogö Nyvang; Carina Sühl Öberg; Elisabet Åkesson; Dorota Religa; Maria Eriksdotter
Journal:  J Am Med Dir Assoc       Date:  2021-06-12       Impact factor: 4.669

10.  Mutation in a SARS-CoV-2 Haplotype from Sub-Antarctic Chile Reveals New Insights into the Spike's Dynamics.

Authors:  Jorge González-Puelma; Jacqueline Aldridge; Marco Montes de Oca; Mónica Pinto; Roberto Uribe-Paredes; José Fernández-Goycoolea; Diego Alvarez-Saravia; Hermy Álvarez; Gonzalo Encina; Thomas Weitzel; Rodrigo Muñoz; Álvaro Olivera-Nappa; Sergio Pantano; Marcelo A Navarrete
Journal:  Viruses       Date:  2021-05-11       Impact factor: 5.048

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