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1.
JCI Insight ; 7(13)2022 07 08.
Article in English | MEDLINE | ID: covidwho-1932894

ABSTRACT

BACKGROUNDProlonged symptoms after SARS-CoV-2 infection are well documented. However, which factors influence development of long-term symptoms, how symptoms vary across ethnic groups, and whether long-term symptoms correlate with biomarkers are points that remain elusive.METHODSAdult SARS-CoV-2 reverse transcription PCR-positive (RT-PCR-positive) patients were recruited at Stanford from March 2020 to February 2021. Study participants were seen for in-person visits at diagnosis and every 1-3 months for up to 1 year after diagnosis; they completed symptom surveys and underwent blood draws and nasal swab collections at each visit.RESULTSOur cohort (n = 617) ranged from asymptomatic to critical COVID-19 infections. In total, 40% of participants reported at least 1 symptom associated with COVID-19 six months after diagnosis. Median time from diagnosis to first resolution of all symptoms was 44 days; median time from diagnosis to sustained symptom resolution with no recurring symptoms for 1 month or longer was 214 days. Anti-nucleocapsid IgG level in the first week after positive RT-PCR test and history of lung disease were associated with time to sustained symptom resolution. COVID-19 disease severity, ethnicity, age, sex, and remdesivir use did not affect time to sustained symptom resolution.CONCLUSIONWe found that all disease severities had a similar risk of developing post-COVID-19 syndrome in an ethnically diverse population. Comorbid lung disease and lower levels of initial IgG response to SARS-CoV-2 nucleocapsid antigen were associated with longer symptom duration.TRIAL REGISTRATIONClinicalTrials.gov, NCT04373148.FUNDINGNIH UL1TR003142 CTSA grant, NIH U54CA260517 grant, NIEHS R21 ES03304901, Sean N Parker Center for Allergy and Asthma Research at Stanford University, Chan Zuckerberg Biohub, Chan Zuckerberg Initiative, Sunshine Foundation, Crown Foundation, and Parker Foundation.


Subject(s)
COVID-19 , COVID-19/complications , Humans , Immunoglobulin G , SARS-CoV-2
2.
Diabetes ; 71, 2022.
Article in English | ProQuest Central | ID: covidwho-1923977

ABSTRACT

Background: Obesity and diabetes are known risk factors for severe acute COVID-19. About half of individuals with obesity have insulin resistance (IR) , which may potentiate severe acute disease and/or predispose to long COVID. Methods: We identified 596 adults from Stanford hospital or clinics confirmed COVID-19+ by rtPCR and categorized according to severity of illness based on the NIH categories1. Pre-COVID predictors including BMI, fasting plasma glucose (FPG) , and triglyceride/HDL-cholesterol ratio (TG/HDL) as a surrogate2 for IR were ed from the EMR using the Stanford Research Repository Tools software. Follow-up surveys were administered via REDCap 2-4x in the first month and 1x per month for 1 year thereafter to assess symptom type and duration. Long COVID was defined as symptom duration > 30 days. Metabolic predictors of acute COVID-severity (BMI, FPG, TG/HDL) were evaluated via multiple linear regression adjusted for sex, age, ethnicity, and other metabolic predictors. A logistic regression to predict long COVID included all metabolic predictors along with age, sex, and ethnicity. Models were repeated with a stepwise approach to increase statistical power given the smaller number of participants with complete data. Results: Participants were 51±18 years of age, 49% female, and 62% racial and ethnic minorities. Mean BMI was 29.5±7.9 kg/m2. NIH illness severity was 7.9% asymptomatic, 37.2% mild, 25.9% moderate, 15.1% severe, and 13.9% critical. Diabetes, lung disease, and hypertension prevalence were 27%, 18%, and 34%, respectively. Mean follow-up was 94±99 and incidence of long COVID was 47.1%. BMI, FPG, and TG/HDL were independently associated with acute COVID-severity in the cohort as a whole (r=0.187, P<0.001;r=0.180, P=0.002;r=0.180, P=0.009) , while only TG/HDL was associated with long COVID (r=0.173, p=0.013) . Conclusions: Findings suggest that IR, independent of sex, age, ethnicity, obesity and hyperglycemia, confers increased risk for both severe acute COVID-and long COVID.

3.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-335535

ABSTRACT

Background: The global epidemiology of asthma among COVID-19 patients presents striking geographic differences defining high and low [asthma and COVID-19] co-occurrence prevalence zones (1). The objective of the present study was to compare asthma prevalence among hospitalized COVID-19 patients in major global hubs across the world with the application of common inclusion criteria and definitions. Methods: : We built a network of six academic hospitals in Stanford (Stanford University)/USA, Frankfurt (Goethe University), Giessen (Justus Liebig University) and Marburg (Philipps University)/Germany, and Moscow (Clinical Hospital 52 in collaboration with Sechenov University)/Russia. We collected clinical and laboratory data for patients hospitalized due to COVID-19. Comorbidities reported were based on the 2020 International Classification of Diseases-10th Revision codes. Results: : Asthmatics were overrepresented among hospitalized COVID-19 patients in Stanford and underrepresented in Moscow and Germany as compared to the prevalence among adults in the local community. Asthma prevalence was similar among ICU and hospital non-ICU patients, which implied that the risk for developing severe COVID-19 was not higher among asthmatics. The number of males and comorbidities was higher among COVID-19 patients in the Stanford cohort, and the most frequent comorbidities among these asthma patients were other chronic inflammatory airway disorders such as chronic obstructive pulmonary disease (COPD). Conclusion: Observed disparity in COVID-19-associated risk among asthmatics across countries and continents is connected to varying prevalence of underlying comorbidities, particularly COPD. Public health policies in the future will need to consider comorbidities with an emphasis on COPD for prioritization of vaccination and preemptive treatment.

4.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-320658

ABSTRACT

Vaccines are essential public health tools with a favorable safety profile and prophylactic effectiveness that have historically played significant roles in reducing infectious disease burden in populations, when the majority of individuals are vaccinated. The COVID-19 vaccines are expected to have similar positive impacts on health across the globe. While serious allergic reactions to vaccines are rare, their underlying mechanisms and implications for clinical management should be considered to provide individuals with the safest care possible. In this review, we provide an overview of different types of allergic adverse reactions that can potentially occur after vaccination and individual vaccine components capable of causing the allergic adverse reactions. We present the incidence of allergic adverse reactions during clinical studies and through post-authorization and post-marketing surveillance and provide plausible causes of these reactions based on potential allergenic components present in several common vaccines. Additionally, we review implications for individual diagnosis and management and vaccine manufacturing overall. Finally, we suggest areas for future research.

5.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-309904

ABSTRACT

Background: It is unclear if asthma and its allergic phenotype are risk factors for hospitalization or severe disease from SARS-CoV-2.Methods: All patients testing positive for SARS-CoV-2 between March 1 and September 30, 2020, were retrospectively identified and characterized through electronic analysis at Stanford. A sub-cohort was followed prospectively to evaluate long-term COVID-19 symptoms.Findings: 168,190 patients underwent SARS-CoV-2 testing, and 6,976 (4·15%) tested positive. In a multivariate analysis, asthma was not an independent risk factor for hospitalization (OR 1·12 [95% CI 0·86, 1·45], p=0·40). Among SARS-CoV-2 positive asthmatics, allergic asthma lowered the risk of hospitalization and had a protective effect compared to non-allergic asthma (OR 0·52 (0·28, 0·91), p=0·026);there was no association between baseline medication use as characterized by GINA and hospitalization risk. Patients with severe COVID-19 disease had lower eosinophil levels during hospitalization compared to patients with mild or asymptomatic disease, independent of asthma status (p=0.0014). In a patient sub-cohort followed longitudinally, asthmatics and non-asthmatics had similar time to resolution of COVID-19 symptoms, particularly lower respiratory symptoms.Interpretation: Asthma is not a risk factor for more severe COVID-19 disease. Allergic asthmatics were half as likely to be hospitalized with COVID-19 compared to non-allergic asthmatics. Lower levels of eosinophil counts (allergic biomarkers) were associated with more severe COVID-19 disease trajectory. Recovery was similar among asthmatics and non-asthmatics with over 50% of patients reporting ongoing lower respiratory symptoms three months post-infection.Trial Registration Information: Sub-cohort analysis performed among those enrolled in a prospective, longitudinal study (NCT# 04373148),Funding Statement: The Sean N. Parker Center for Allergy and Asthma Research, Stanford University, Sunshine Foundation, Crown Foundation, Parker Foundation.Declaration of Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.Ethics Approval Statement: This study was reviewed and approved with a waiver of consent by the Stanford Administrative Panel on Human Subjects in Medical Research.

6.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-313371

ABSTRACT

Background: Prolonged symptoms after SARS-CoV-2 infection are well-documented. However, which factors influence development of long-term symptoms, how symptoms vary across ethnic groups, and whether long-term symptoms correlate with serologic biomarkers remain elusive. Methods: Adult inpatient and outpatient SARS-CoV-2 RT-PCR positive patients were recruited at Stanford from March 2020 to February 2021. Study participants were seen for in-person visits at diagnosis and every 1-3 months for up to one year after diagnosis;they completed symptom surveys and underwent sampling procedures (blood draw and nasal swab) at each visit. Findings: Our cohort (n=617) ranged from asymptomatic to critical COVID-19 infections. 40% of participants reported at least one symptom associated with COVID-19 six months after diagnosis. Median time from diagnosis to first resolution of all symptoms was 44 days, median time from diagnosis to sustained symptom resolution with no recurring symptoms for one month or longer was 214 days. Serum anti-nucleocapsid IgG level in the first week of infection was predictive of time to symptom resolution. A prior diagnosis of lung disease was associated with longer time to symptom resolution. COVID-19 disease severity, ethnicity, sex, cytomegalovirus (CMV) seropositivity, and remdesivir use did not affect time to sustained symptom resolution. More than 90% of participants had SARS-CoV-2-specific antibody>1000 AU/mL nine months after diagnosis. Interpretation: Our findings showed that all disease severities had a similar risk of developing post-COVID-19 syndrome in an ethnically diverse population. Comorbid lung disease and lower levels of initial IgG response to SARS-CoV-2 nucleocapsid antigen were associated with longer symptom duration. Trial Registration: National clinical trial database NCT04664309.Funding: NIH CTSA grant, U54 NIH Grant, R21 NIEHS, Sean N Parker Center for Allergy and Asthma Research at Stanford University, the Sunshine Foundation, the Crown Foundation, and the Parker Foundation.Declaration of Interest: Dr. Boyd received support for the current manuscript from Meso Scale Discovery and NIH;418 received consulting fees by Regeneron for expert testimony, has stocks or stock options in 419 AbCellera Biologics;Dr. Chinthrajah reports grants from NIAID, CoFAR, Aimmune, DBV 420 Technologies, Astellas, Regeneron, Stanford Maternal and Child Health Research Institute 421 (MCHRI), and FARE. She is an Advisory Board Member at Alladapt Therapeutics, Novartis, 422 Genentech, Sanofi, Allergenis, and Nutricia;Dr. Manisha Desai received support from Chan 423 Zuckerberg Foundation;Dr. Maecker received grants or contracts from NIH, Bill & Melinda 424 Gates Foundation, Ionis Corporation, Amgen Corporation;Consulting fees from Magarray Corp;425 payment or honoraria from UCLA, UC Davis;leadership or fiduciary role at Cytek SAB;stocks 426 or stock options at BD Biosciences;Dr. Nadeau reports grants from National Institute of Allergy and Infectious Diseases (NIAID), National Heart, Lung, and Blood Institute (NHLBI), National Institute of Environmental Health Sciences (NIEHS), and Food Allergy Research & Education (FARE);Director of World Allergy Organization (WAO) , Advisor at Cour Pharma, Consultant for Excellergy, Red tree ventures, and Phylaxis, Co-founder of Before Brands, Alladapt, Latitude, and IgGenix;and National Scientific Committee member at Immune Tolerance Network (ITN), and National Institutes of Health (NIH) clinical research centers, outside the submitted work;patents include, “Mixed allergen composition and methods for using the same”, “Granulocyte-based methods for detecting and monitoring immune system disorders”, “Methods and Assays for Detecting and Quantifying Pure Subpopulations of White Blood Cells in Immune System Disorders,” and “Methods of isolating allergen-specific antibodies from humans and uses thereof”;Dr. Benjamin Pinsky received grants or contracts for the present manuscript from MesoScale Diagno tics;Dr. Angele Rogers was a Clinical Trials Advisory Board Member for Merck;Dr. Sindher reports support for the present manuscript from the NIH, Regeneron, DBV Technologies, Aimmune, Novartis, CoFAR, FARE, participated on a DSMB for Astra Zeneca, DBV, and received payment or honorarium from FARE;Neera Ahuja, Maja Artandi, Linda Barman, Catherine Blish, Andra Blomkalns, William Collins, MacKenzie Cox, Linda Geng, Xiaolin Jia, Megan Mahoney, Monali Manohar, Ruth O’hara, Rajan Puri, Katharina Roltgen, Laura Vaughan, Samuel Yang, Shu Cao, Iris Chang, Hena Din, Evan Do, Andrea Fernandez, Alexandra Lee, Natasha Purington, Yael Rosenberg-Hasson, Theo Snow, Daniel Solis, Michelle Verghese, and Yingjie Weng have no conflict of interest.Ethical Approval: This study was reviewed and approved by the Stanford Administrative Panel on Human Subjects in Medical Research.

10.
Cell Host Microbe ; 29(12): 1738-1743.e4, 2021 12 08.
Article in English | MEDLINE | ID: covidwho-1574127

ABSTRACT

Different SARS-CoV-2 vaccines are approved in various countries, but few direct comparisons of the antibody responses they stimulate have been reported. We collected plasma specimens in July 2021 from 196 Mongolian participants fully vaccinated with one of four COVID-19 vaccines: Pfizer/BioNTech, AstraZeneca, Sputnik V, and Sinopharm. Functional antibody testing with a panel of nine SARS-CoV-2 viral variant receptor binding domain (RBD) proteins revealed marked differences in vaccine responses, with low antibody levels and RBD-ACE2 blocking activity stimulated by the Sinopharm and Sputnik V vaccines in comparison to the AstraZeneca or Pfizer/BioNTech vaccines. The Alpha variant caused 97% of infections in Mongolia in June and early July 2021. Individuals who recover from SARS-CoV-2 infection after vaccination achieve high antibody titers in most cases. These data suggest that public health interventions such as vaccine boosting, potentially with more potent vaccine types, may be needed to control COVID-19 in Mongolia and worldwide.


Subject(s)
Antibodies, Viral/blood , COVID-19 Vaccines/administration & dosage , COVID-19/prevention & control , Mass Vaccination , SARS-CoV-2/drug effects , Adult , Aged , Angiotensin-Converting Enzyme 2/antagonists & inhibitors , Angiotensin-Converting Enzyme 2/genetics , Angiotensin-Converting Enzyme 2/immunology , Antibodies, Viral/biosynthesis , COVID-19/epidemiology , COVID-19/immunology , COVID-19/virology , Female , Gene Expression , Humans , Immune Sera/chemistry , Immunogenicity, Vaccine , Male , Middle Aged , Mongolia/epidemiology , Retrospective Studies , SARS-CoV-2/immunology , SARS-CoV-2/pathogenicity
11.
Nat Commun ; 12(1): 5417, 2021 09 14.
Article in English | MEDLINE | ID: covidwho-1410404

ABSTRACT

COVID-19 is associated with a wide range of clinical manifestations, including autoimmune features and autoantibody production. Here we develop three protein arrays to measure IgG autoantibodies associated with connective tissue diseases, anti-cytokine antibodies, and anti-viral antibody responses in serum from 147 hospitalized COVID-19 patients. Autoantibodies are identified in approximately 50% of patients but in less than 15% of healthy controls. When present, autoantibodies largely target autoantigens associated with rare disorders such as myositis, systemic sclerosis and overlap syndromes. A subset of autoantibodies targeting traditional autoantigens or cytokines develop de novo following SARS-CoV-2 infection. Autoantibodies track with longitudinal development of IgG antibodies recognizing SARS-CoV-2 structural proteins and a subset of non-structural proteins, but not proteins from influenza, seasonal coronaviruses or other pathogenic viruses. We conclude that SARS-CoV-2 causes development of new-onset IgG autoantibodies in a significant proportion of hospitalized COVID-19 patients and are positively correlated with immune responses to SARS-CoV-2 proteins.


Subject(s)
Autoantibodies/immunology , COVID-19/immunology , Immunoglobulin G/immunology , SARS-CoV-2/immunology , Aged , Antibodies, Antinuclear/blood , Antibodies, Antinuclear/immunology , Antibodies, Viral/blood , Antibodies, Viral/immunology , Autoantibodies/blood , Autoantigens/immunology , Connective Tissue Diseases/immunology , Cytokines/immunology , Female , Hospitalization , Humans , Immunoglobulin G/blood , Male , Middle Aged , SARS-CoV-2/pathogenicity , Viral Proteins/immunology
12.
Nature ; 596(7872): 410-416, 2021 08.
Article in English | MEDLINE | ID: covidwho-1305364

ABSTRACT

The emergency use authorization of two mRNA vaccines in less than a year from the emergence of SARS-CoV-2 represents a landmark in vaccinology1,2. Yet, how mRNA vaccines stimulate the immune system to elicit protective immune responses is unknown. Here we used a systems vaccinology approach to comprehensively profile the innate and adaptive immune responses of 56 healthy volunteers who were vaccinated with the Pfizer-BioNTech mRNA vaccine (BNT162b2). Vaccination resulted in the robust production of neutralizing antibodies against the wild-type SARS-CoV-2 (derived from 2019-nCOV/USA_WA1/2020) and, to a lesser extent, the B.1.351 strain, as well as significant increases in antigen-specific polyfunctional CD4 and CD8 T cells after the second dose. Booster vaccination stimulated a notably enhanced innate immune response as compared to primary vaccination, evidenced by (1) a greater frequency of CD14+CD16+ inflammatory monocytes; (2) a higher concentration of plasma IFNγ; and (3) a transcriptional signature of innate antiviral immunity. Consistent with these observations, our single-cell transcriptomics analysis demonstrated an approximately 100-fold increase in the frequency of a myeloid cell cluster enriched in interferon-response transcription factors and reduced in AP-1 transcription factors, after secondary immunization. Finally, we identified distinct innate pathways associated with CD8 T cell and neutralizing antibody responses, and show that a monocyte-related signature correlates with the neutralizing antibody response against the B.1.351 variant. Collectively, these data provide insights into the immune responses induced by mRNA vaccination and demonstrate its capacity to prime the innate immune system to mount a more potent response after booster immunization.


Subject(s)
Adaptive Immunity , Antibodies, Viral/immunology , COVID-19 Vaccines/immunology , COVID-19/immunology , Immunity, Innate , T-Lymphocytes/immunology , Vaccinology , Adult , Aged , Antibodies, Neutralizing/immunology , Autoantibodies/immunology , COVID-19 Vaccines/administration & dosage , Female , Humans , Immunization, Secondary , Male , Middle Aged , Single-Cell Analysis , Spike Glycoprotein, Coronavirus/immunology , Transcription, Genetic , Transcriptome/genetics , Young Adult
13.
Allergy ; 76(6): 1640-1660, 2021 06.
Article in English | MEDLINE | ID: covidwho-1165739

ABSTRACT

Vaccines are essential public health tools with a favorable safety profile and prophylactic effectiveness that have historically played significant roles in reducing infectious disease burden in populations, when the majority of individuals are vaccinated. The COVID-19 vaccines are expected to have similar positive impacts on health across the globe. While serious allergic reactions to vaccines are rare, their underlying mechanisms and implications for clinical management should be considered to provide individuals with the safest care possible. In this review, we provide an overview of different types of allergic adverse reactions that can potentially occur after vaccination and individual vaccine components capable of causing the allergic adverse reactions. We present the incidence of allergic adverse reactions during clinical studies and through post-authorization and post-marketing surveillance and provide plausible causes of these reactions based on potential allergenic components present in several common vaccines. Additionally, we review implications for individual diagnosis and management and vaccine manufacturing overall. Finally, we suggest areas for future research.


Subject(s)
COVID-19 , Hypersensitivity , Vaccines , COVID-19 Vaccines , Humans , Hypersensitivity/diagnosis , Hypersensitivity/epidemiology , Hypersensitivity/etiology , Pandemics , SARS-CoV-2 , Vaccines/adverse effects
17.
Allergy ; 76(3): 648-676, 2021 03.
Article in English | MEDLINE | ID: covidwho-596293

ABSTRACT

BACKGROUND: The coronavirus disease 2019 (COVID-19) has evolved into a pandemic infectious disease transmitted by the severe acute respiratory syndrome coronavirus (SARS-CoV-2). Allergists and other healthcare providers (HCPs) in the field of allergies and associated airway diseases are on the front line, taking care of patients potentially infected with SARS-CoV-2. Hence, strategies and practices to minimize risks of infection for both HCPs and treated patients have to be developed and followed by allergy clinics. METHOD: The scientific information on COVID-19 was analysed by a literature search in MEDLINE, PubMed, the National and International Guidelines from the European Academy of Allergy and Clinical Immunology (EAACI), the Cochrane Library, and the internet. RESULTS: Based on the diagnostic and treatment standards developed by EAACI, on international information regarding COVID-19, on guidelines of the World Health Organization (WHO) and other international organizations, and on previous experience, a panel of experts including clinicians, psychologists, IT experts, and basic scientists along with EAACI and the "Allergic Rhinitis and its Impact on Asthma (ARIA)" initiative have developed recommendations for the optimal management of allergy clinics during the current COVID-19 pandemic. These recommendations are grouped into nine sections on different relevant aspects for the care of patients with allergies. CONCLUSIONS: This international Position Paper provides recommendations on operational plans and procedures to maintain high standards in the daily clinical care of allergic patients while ensuring the necessary safety measures in the current COVID-19 pandemic.


Subject(s)
COVID-19/epidemiology , Hypersensitivity/therapy , SARS-CoV-2 , Allergists , COVID-19/prevention & control , Health Personnel , Humans , Hypersensitivity/diagnosis , Information Technology , Patient Care Team , Triage
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