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1.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.09.20.22280173

ABSTRACT

A cross-sectional SARS-CoV-2 serosurvey was conducted after the Omicron surge in Jamaica using 1,540 samples collected during March - May 2022 from persons attending antenatal, STI and non-communicable diseases clinics in Kingston, Jamaica. SARS-CoV-2 spike receptor binding domain (RBD) and/or nucleocapsid IgG antibodies were detected for 88.4% of the study population, with 77.0% showing evidence of previous SARS-CoV-2 infection. Of persons previously infected with SARS-CoV-2 and/or with COVID-19 vaccination, 9.6% were negative for spike RBD IgG, most of which were unvaccinated previously infected persons. Amongst unvaccinated previously infected people, age was associated with testing spike RBD IgG negative. When considering all samples, median spike RBD IgG levels were 131.6 BAU/mL for unvaccinated persons with serological evidence of past infection, 90.3 BAU/mL for vaccinated persons without serological evidence of past infection, and 896.1 BAU/mL for vaccinated persons with serological evidence of past infection. Our study of the first reported SARS-CoV-2 serosurvey in Jamaica shows extensive SARS-CoV-2 population immunity, identifies a substantial portion of the population lacking spike RBD IgG, and provides additional evidence for increasing COVID-19 vaccine coverage in Jamaica.


Subject(s)
Hallucinations , COVID-19
2.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.02.24.22271002

ABSTRACT

Serological assays used to estimate SARS-CoV-2 seroprevalence rely on manufacturer cut-offs established based on more severe early cases who tended to be older. We conducted a household-based serosurvey of 4,677 individuals from 2,619 households in Chennai, India from January to May, 2021. Samples were tested for SARS-CoV-2 IgG antibodies to the spike (S) and nucelocapsid (N) proteins. We calculated seroprevalence using manufacturer cut-offs and using a mixture model in which individuals were assigned a probability of being seropositive based on their measured IgG, accounting for heterogeneous antibody response across individuals. The SARS-CoV-2 seroprevalence to anti-S and anti-N IgG was 62.0% (95% confidence interval [CI], 60.6 to 63.4) and 13.5% (95% CI, 12.6 to 14.5), respectively applying the manufacturer's cut-offs, with low inter-assay agreement (Cohen's kappa 0.15). With the mixture model, estimated anti-S IgG and anti-N IgG seroprevalence was 64.9% (95% Credible Interval [CrI], 63.8 to 66.0) and 51.5% (95% CrI, 50.2 to 52.9) respectively, with high inter-assay agreement (Cohen's kappa 0.66). Age and socioeconomic factors showed inconsistent relationships with anti-S IgG and anti-N IgG seropositivity using manufacturer's cut-offs, but the mixture model reconciled these differences. In the mixture model, age was not associated with seropositivity, and improved household ventilation was associated with lower seropositivity odds. With global vaccine scale-up, the utility of the more stable anti-S IgG assay may be limited due to the inclusion of the S protein in several vaccines. SARS-CoV-2 seroprevalence estimates using alternative targets must consider heterogeneity in seroresponse to ensure seroprevalence is not underestimated and correlates not misinterpreted.

3.
Jeremy Manry; Paul Bastard; Adrian Gervais; Tom Le Voyer; Jérémie Rosain; Quentin Philippot; Eleftherios Michailidis; Hans-Heinrich Hoffmann; Shohei Eto; Marina Garcia-Prat; Lucy Bizien; Alba Parra-Martínez; Rui Yang; Liis Haljasmägi; Mélanie Migaud; Karita Särekannu; Julia Maslovskaja; Nicolas de Prost; Yacine Tandjaoui-Lambiotte; Charles-Edouard Luyt; Blanca Amador-Borrero; Alexandre Gaudet; Julien Poissy; Pascal Morel; Pascale Richard; Fabrice Cognasse; Jesus Troya; Sophie Trouillet-Assant; Alexandre Belot; Kahina Saker; Pierre Garçon; Jacques Rivière; Jean-Christophe Lagier; Stéphanie Gentile; Lindsey Rosen; Elana Shaw; Tomohiro Morio; Junko Tanaka; David Dalmau; Pierre-Louis Tharaux; Damien Sene; Alain Stepanian; Bruno Mégarbane; Vasiliki Triantafyllia; Arnaud Fekkar; James Heath; Jose Franco; Juan-Manuel Anaya; Jordi Solé-Violán; Luisa Imberti; Andrea Biondi; Paolo Bonfanti; Riccardo Castagnoli; Ottavia Delmonte; Yu Zhang; Andrew Snow; Steve Holland; Catherine Biggs; Marcela Moncada-Vélez; Andrés Arias; Lazaro Lorenzo; Soraya Boucherit; Dany Anglicheau; Anna Planas; Filomeen Haerynck; Sotirija Duvlis; Robert Nussbaum; Tayfun Ozcelik; Sevgi Keles; Aziz Bousfiha; Jalila El Bakkouri; Carolina Ramirez-Santana; Stéphane Paul; Qiang Pan-Hammarstrom; Lennart Hammarstrom; Annabelle Dupont; Alina Kurolap; Christine Metz; Alessandro Aiuti; Giorgio Casari; Vito Lampasona; Fabio Ciceri; Lucila Barreiros; Elena Dominguez-Garrido; Mateus Vidigal; Mayana Zatz; Diederik van de Beek; Sabina Sahanic; Ivan Tancevski; Yurii Stepanovskyy; Oksana Boyarchuk; Yoko Nukui; Miyuki Tsumura; Loreto Vidaur; Stuart Tangye; Sonia Burrel; Darragh Duffy; Lluis Quintana-Murci; Adam Klocperk; Nelli Kann; Anna Shcherbina; Yu-Lung Lau; Daniel Leung; Matthieu Coulongeat; Julien Marlet; Rutger Koning; Luis Reyes; Angélique Chauvineau-Grenier; Fabienne Venet; guillaume monneret; Michel Nussenzweig; Romain Arrestier; Idris Boudhabhay; Hagit Baris-Feldman; David Hagin; Joost Wauters; Isabelle Meyts; Adam Dyer; Sean Kennelly; Nollaig Bourke; Rabih Halwani; Fatemeh Sharif-Askari; Karim Dorgham; Jérôme Sallette; Souad Mehlal-Sedkaoui; Suzan AlKhater; Raúl Rigo-Bonnin; Francisco Morandeira; Lucie Roussel; Donald Vinh; Christian Erikstrup; Antonio Condino-Neto; Carolina Prando; Anastasiia Bondarenko; András Spaan; Laurent Gilardin; Jacques Fellay; Stanislas Lyonnet; Kaya Bilguvar; Richard Lifton; Shrikant Mane; Mark Anderson; Bertrand Boisson; Vivien Béziat; Shen-Ying Zhang; Evangelos Andreakos; Olivier Hermine; Aurora Pujol; Pärt Peterson; Trine Hyrup Mogensen; Lee Rowen; James Mond; Stéphanie Debette; Xavier deLamballerie; Charles Burdet; Lila Bouadma; Marie Zins; Pere Soler-Palacin; Roger Colobran; Guy Gorochov; Xavier Solanich; Sophie Susen; Javier Martinez-Picado; Didier Raoult; Marc Vasse; Peter Gregersen; Carlos Rodríguez-Gallego; Lorenzo Piemonti; Luigi Notarangelo; Helen Su; Kai Kisand; Satoshi Okada; Anne Puel; Emmanuelle Jouanguy; Charles Rice; Pierre Tiberghien; Qian Zhang; Jean-Laurent Casanova; Laurent Abel; Aurélie Cobat.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-1225906.v1

ABSTRACT

SARS-CoV-2 infection fatality rate (IFR) doubles with every five years of age from childhood onward. Circulating autoantibodies neutralizing IFN-α, IFN-ω, and/or IFN-β are found in ~20% of deceased patients across age groups. In the general population, they are found in ~1% of individuals aged 20-70 years and in >4% of those >70 years old. With a sample of 1,261 deceased patients and 34,159 uninfected individuals, we estimated both IFR and relative risk of death (RRD) across age groups for individuals carrying autoantibodies neutralizing type I IFNs, relative to non-carriers. For autoantibodies neutralizing IFN-α2 or IFN-ω, the RRD was 17.0[95% CI:11.7-24.7] for individuals under 70 years old and 5.8[4.5-7.4] for individuals aged 70 and over, whereas, for autoantibodies neutralizing both molecules, the RRD was 188.3[44.8-774.4] and 7.2[5.0-10.3], respectively. IFRs increased with age, from 0.17%[0.12-0.31] for individuals <40 years old to 26.7%[20.3-35.2] for those ≥80 years old for autoantibodies neutralizing IFN-α2 or IFN-ω, and from 0.84%[0.31-8.28] to 40.5%[27.82-61.20] for the same two age groups, for autoantibodies neutralizing both molecules. Autoantibodies against type I IFNs increase IFRs, and are associated with high RRDs, particularly those neutralizing both IFN-α2 and -ω. Remarkably, IFR increases with age, whereas RRD decreases with age. Autoimmunity to type I IFNs appears to be second only to age among common predictors of COVID-19 death.


Subject(s)
COVID-19
4.
Open forum infectious diseases ; 8(Suppl 1):S251-S252, 2021.
Article in English | EuropePMC | ID: covidwho-1601844

ABSTRACT

Background Post COVID Syndrome (PCS) is significant morbidity following COVID-19. This study aims to identify biomarkers that predict PCS in a Gulf Coast cohort known for poor health outcomes. Methods Since March 2020 the study Collection of Serum and Secretions for SARS CoV-2 Countermeasure Development (aka ClinSeqSer) has been enrolling subjects with confirmed acute COVID-19, with initial visit at 1 month and follow up every three months from symptom onset. At follow-up, subjects complete symptom questionnaire, physical examination, nasopharyngeal swab/saliva collection, blood draw. Subjects with >= one symptom new since COVID are PCS, remainder are Non-PCS experienced at initial one month visit and six months or longer. Univariate and bivariate analysis was carried out to study significant associations of currently available dataset (N=60). Figure 1. Post-COVID Symptoms Included if “new since covid”. For 60 subjects consented post-covid with completed questionnaire, results were analyzed. Most common symptoms reported were fatigue/tiredness or exhaustion (52%), muscle aches (38%), difficulty concentrating (33%) and headache (32%) as the most common symptoms during one month prior to their initial follow-up visit. The persistent symptoms experienced for six months or longer were fatigue/tiredness or exhaustion (25%), forgetfulness (22%), muscle aches (18%), and sleep difficulties (18%). Results Cohort is 36 (60%) female, 24 (40%) male, age group of 49 (82%) 18-64 years, 11 (18%) 65+ years, 33 (55%) African American, 27 (45%) Caucasian. Median follow-up time after symptom onset: 290 days. Study cohort reported fatigue (52%), myalgias (38%), difficulty concentrating (33%), headache (32%) as most common symptoms during first month from initial symptom onset. Persistent symptoms ( >=6 months) are fatigue (25%), forgetfulness (22%), myalgias (18%), sleep difficulties (18%). Bivariate analysis shows that gender (female, P=0.04), past stroke/transient ischemic attack (P=0.04), deep venous thrombosis (P=0.02), abnormal kidney function (P=0.01) associate with PCS. Convalescent antibodies (ReSARS N IgG, S-RBD IgG) were measured and percentage inhibition of ACE2 spike interaction was recorded. Plasma inflammatory protein levels were measured using multiplex ELISA and Proximity Extension Assay technology during follow-up visit. Increased antibody ReSARS N IgG (2.91, 0.74-10.93;P=0.02) response and higher convalescent IL-10 (P=0.04) was associated with PCS. Percent inhibition of ACE2: spike interaction was not associated (P=0.79) with PCS. Nasal swab/saliva SARS-COV-2 sequencing has not identified a specific SARS-CoV-2 virus mutation predictive of PCS. Table 1. Demographic and Clinical Characteristics The bivariate analysis results showed that the gender (female, P=0.0354), history of stroke or transient ischemic attack (P=0.0382), chest pain from narrow heart vessels (P=0.0479), deep venous thrombosis (P=0.0241) and abnormal kidney function (P=0.0142) were associated with Post-COVID syndrome. Table 2. Antibodies and ACE2 spike inhibition. The convalescent antibodies, ReSARS N IgG and S-RBD IgG were measured in U/mL and percentage inhibition of ACE2 spike interaction was recorded during follow-up visit for PCS vs Non-PCS subjects. The increased antibody ReSARS N IgG (2.91, 0.74-10.93;P=0.0159) response was associated with Post-COVID syndrome. Percent inhibition of ACE2: spike interaction was not associated (P=0.7932) with PCS. Table 3. Plasma inflammatory protein levels. Plasma inflammatory protein levels were measured using multiplex ELISA (MSD) and Proximity Extension Assay technology (Olink) recorded during follow-up visit for PCS vs Non-PCS subjects, revealing IL-10 (P=0.0379) was associated with development of PCS. Conclusion This study identifies initial clinical and biomarker predictors of PCS in a cohort that is 55% African American. Figure 2. Antibody ReSARS N IgG ReSARS N IgG measured in post-covid patients is significantly associated with post-COVID syndrome(P=0.01 9). X axis: number of months from symptom onset to blood draw. Y axis: N IgG U/mL. Figure 3. Spike amino acid mutations Spike amino acid mutations detected in SARS-CoV-2 from acute-phase respiratory isolates. Nasal swab/saliva samples were collected from subjects with acute COVID-19 at time of enrollment into ClinSeqSer, stored at -80°C followed by RNA isolation and SARS-CoV-2 qRT-PCR. Samples with Ct value of ≤30 were then sequenced using NextSeq (Illumina). All sequences are deposited on GISAID and under BioProject (ID PRJNA681020). X axis: subject ID, with ID number increasing chronologically. Y axis: amino acid position of each mutation moving from N- to C-terminus. Disclosures Robert Garry, PhD, Zalgen Labs (Shareholder)

5.
researchsquare; 2022.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-963938.v1

ABSTRACT

The introduction of variants of concern and interest in the Departamento of Antioquia, Colombia, was concomitant with the beginning of the COVID-19 immunization program. Genomic surveillance indicates that none of the emerging variants –alpha, gamma, lambda, mu or delta– were dominant between January and August 2021. The immunization includes CoronaVac, BNT162b2, Ad26.COV2.S and ChAdOx1-S vaccines. By September 10 th , 34.43% inhabitants were fully vaccinated. We characterized, SARS-CoV-2 breakthrough infections in 96 patients, 30 with fatal outcomes, 13 with ICU hospitalization and 53 with mild or asymptomatic disease. Even though gamma and mu variants co-circulated at similar levels, the latter was found to be predominant in patients with fatal outcomes and in those with ICU hospitalizations. We found a significant occurrence of the B.1.625 variant in these patients. Genetic substitutions of therapeutic and immunological concern, E484K and N501Y, are consistently observed in 90.1% and 79.5% of these variants, respectively. Evidence suggests that it is less probable to become infected after 60 days post-treatment with BNT162b2 than with CoronaVac. Importantly, we found that advanced age and comorbidities foster conditions for fatal and ICU outcomes in vaccinated patients. Our observations demonstrate the effectiveness of vaccination and identify patients with higher risks of subsequent breakthrough infections.


Subject(s)
COVID-19 , Optic Nerve Diseases , Protein S Deficiency
6.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.10.22.21265401

ABSTRACT

The Caribbean region is lacking an assessment of the antibody response and side effects experienced after AstraZeneca COVID-19 vaccination (AZD1222). We examined SARS-CoV-2 spike receptor binding domain (RBD) IgG levels and reported side effects in a Jamaican population after AZD1222 vaccination. Median RBD IgG levels for persons without evidence of previous SARS-CoV-2 infection were 43.1 bIU/mL after 3-7 weeks post first dose, rising to 100.1 bIU/mL 3-7 weeks post second dose, and falling 46.9 bIU/mL 16-22 weeks post second dose. The median RBD IgG level 2-8 weeks after symptom onset for unvaccinated SARS-CoV-2 infected persons of all disease severities was 411.6 bIU/mL. Common AZD1222 side effects after first dose were injection site pain, headache and chills. Most persons reported no side effects after second dose. AZD1222 is widely used across the English-speaking Caribbean and the study provides evidence for its continued safe and effective use in vaccination programs.


Subject(s)
Pain , Headache , Severe Acute Respiratory Syndrome , COVID-19
7.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-960585.v1

ABSTRACT

Background: Globally, key subpopulations such as healthcare workers (HCWs) have a higher risk of contracting SARS-CoV-2. In Uganda, limited access to personal protective equipment amidst lack of clarity on the extent and pattern of the community disease burden may exacerbate this situation. We assessed SARS-CoV-2 antibody seroprevalence among high-risk sub-populations in South-central Uganda, including HCWs, persons within the general population previously reporting experiencing key COVID-19 like symptoms (fever, cough, loss of taste and smell) and archived plasma specimens collected between October 2019 – 18 th March 2020, prior to confirmation of COVID-19 in Uganda. Methods: : From November 2020 - January 2021, we collected venous blood from HCWs at selected health facilities in South-Central Uganda and from population-cohort participants who reported specific COVID-19 like symptoms in a prior phone-based survey conducted (between May to August 2020) during the first national lockdown. Pre-lockdown plasma collected (between October 2019 and March 18 th , 2020) from individuals considered high risk for SARS-CoV-2 infection was retrieved. Specimens were tested for antibodies to SARS-CoV-2 using the CoronaChek TM rapid COVID-19 IgM/IgG lateral flow test assay. IgM only positive samples were confirmed using a chemiluminescent microparticle immunoassay (CMIA) (Architect AdviseDx SARS-CoV-2 IgM) which targets the spike protein. SARS-CoV-2 exposure was defined as either confirmed IgM, both IgM and IgG or sole IgG positivity. Results: : The seroprevalence of antibodies to SARS-CoV-2 in HCWs was 21.1% [95%CI: 18.2-24.2]. Of the phone-based survey participants, 11.9% [95%CI: 8.0-16.8] had antibodies to SARS-CoV-2. Among 636 pre-lockdown plasma specimens, 1.7% [95%CI: 0.9-3.1] were reactive. Conclusions: : Findings suggest a high seroprevalence of antibodies to SARS-CoV-2 among HCWs and substantial exposure in persons presenting with specific COVID-19 like symptoms in the general population of South-central Uganda. Based on current limitations in serological test confirmation, it remains unclear whether pre-lockdown seropositivity implies prior SARS-CoV-2 exposure in Uganda.


Subject(s)
COVID-19 , Fever , Severe Acute Respiratory Syndrome
8.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.09.13.21263414

ABSTRACT

Globally, key subpopulations have a high risk of contracting SARS-CoV-2. In Uganda, limited access to personal protective equipment amidst lack of clarity on the extent of the community disease burden may exacerbate this situation. We assessed SARS-CoV-2 antibody seroprevalence among high-risk sub-populations, including healthcare workers, persons within the general population previously reporting experiencing key COVID-19 like symptoms and archived plasma specimens collected prior to confirmation of COVID-19 in Uganda. We collected venous blood from HCWs at selected health facilities and from population-cohort participants who reported specific COVID-19 like symptoms in a prior phone-based survey conducted during the first national lockdown (May-August 2020). Pre-lockdown plasma collected from individuals considered high risk for SARS-CoV-2 infection was retrieved. Specimens were tested for antibodies to SARS-CoV-2 using the CoronaChek rapid COVID-19 IgM/IgG lateral flow test assay. IgM only positive samples were confirmed using a chemiluminescent microparticle immunoassay (ARCHITECT AdviseDx SARS-CoV-2 IgM) which targets the spike. SARS-CoV-2 exposure was defined as either confirmed IgM, both IgM and IgG or sole IgG positivity. The seroprevalence of antibodies to SARS-CoV-2 in HCWs was 21.1% [95%CI: 18.2-24.2]. Of the phone-based survey participants, 11.9% [95%CI: 8.0-16.8] had antibodies to SARS-CoV-2. Among 636 pre-lockdown plasma specimens, 1.7% [95%CI: 0.9-3.1] were reactive. Findings suggest a high seroprevalence of antibodies to SARS-CoV-2 among HCWs and substantial exposure in persons presenting with specific COVID-19 like symptoms in the general population of South-central Uganda. Based on current limitations in serological test confirmation, it remains unclear whether pre-lockdown seropositivity implies prior SARS-CoV-2 exposure in Uganda.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
9.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.05.04.21255575

ABSTRACT

While COVID-19 vaccines have been shown to significantly decrease morbidity and mortality, there is still much debate about optimal strategies of vaccine rollout. We tested identity-unlinked stored remnant blood specimens of patients at least 18 years presenting to the Johns Hopkins Hospital emergency department (ED) between May to November 2020 for IgG to SARS-CoV-2. Data on SARS-CoV-2 RT PCR were available for patients who were tested due to suspected infection. SARS-CoV-2 infections was defined as either a positive IgG and/or RT-PCR. SARS-CoV-2 infection clustering by zipcode was analyzed by spatial analysis using the Bernoulli model (SaTScan software, Version 9.7). Median age of the 7,461 unique patients visiting the ED was 47 years and 50.8% were female; overall, 740 (9.9%) unique patients had evidence of SARS-CoV-2 infection. Prevalence of infection in ED patients by ZIP code ranged from 4.1% to 22.3%. The observed number of cases in ZIP code C was nearly double the expected (observed/expected ratio = 1.99; 95% CI: 1.62, 2.42). These data suggest a targeted geospatial approach to COVID vaccination should be considered to maximize vaccine rollout efficiency and include high-risk populations that may otherwise be subjected to delays, or missed.


Subject(s)
COVID-19 , Severe Acute Respiratory Syndrome
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