Literature DB >> 35576468

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies.

Jérémy Manry1,2, Paul Bastard1,2,3, Adrian Gervais1,2, Tom Le Voyer1,2, Jérémie Rosain1,2, Quentin Philippot1,2, Eleftherios Michailidis4, Hans-Heinrich Hoffmann4, Shohei Eto5, Marina Garcia-Prat6, Lucy Bizien1,2, Alba Parra-Martínez6, Rui Yang3, Liis Haljasmägi7, Mélanie Migaud1,2, Karita Särekannu7, Julia Maslovskaja7, Nicolas de Prost8,9, Yacine Tandjaoui-Lambiotte10, Charles-Edouard Luyt11,12, Blanca Amador-Borrero13, Alexandre Gaudet14,15, Julien Poissy14,15, Pascal Morel16,17, Pascale Richard16, Fabrice Cognasse18,19, Jesús Troya20, Sophie Trouillet-Assant21,22,23, Alexandre Belot21,22,24,25, Kahina Saker21,22, Pierre Garçon26, Jacques G Rivière6, Jean-Christophe Lagier27, Stéphanie Gentile28,29, Lindsey B Rosen30, Elana Shaw30, Tomohiro Morio31, Junko Tanaka32, David Dalmau33,34, Pierre-Louis Tharaux35, Damien Sene13, Alain Stepanian36,37, Bruno Mégarbane38, Vasiliki Triantafyllia39, Arnaud Fekkar1,40, James R Heath41, José Luis Franco42, Juan-Manuel Anaya43, Jordi Solé-Violán44,45,46, Luisa Imberti47, Andrea Biondi48, Paolo Bonfanti49, Riccardo Castagnoli30,50, Ottavia M Delmonte30, Yu Zhang30,51, Andrew L Snow52, Steven M Holland30, Catherine M Biggs53, Marcela Moncada-Vélez3, Andrés Augusto Arias3,54,55, Lazaro Lorenzo1,2, Soraya Boucherit1,2, Dany Anglicheau56,57, Anna M Planas58,59, Filomeen Haerynck60, Sotirija Duvlis61,62, Tayfun Ozcelik63, Sevgi Keles64, Ahmed A Bousfiha65,66, Jalila El Bakkouri65,66, Carolina Ramirez-Santana67, Stéphane Paul68, Qiang Pan-Hammarström69, Lennart Hammarström69, Annabelle Dupont70, Alina Kurolap71, Christine N Metz72, Alessandro Aiuti73, Giorgio Casari73, Vito Lampasona74, Fabio Ciceri75, Lucila A Barreiros76, Elena Dominguez-Garrido77, Mateus Vidigal78, Mayana Zatz78, Diederik van de Beek79, Sabina Sahanic80, Ivan Tancevski80, Yurii Stepanovskyy81, Oksana Boyarchuk82, Yoko Nukui83, Miyuki Tsumura5, Loreto Vidaur84,45, Stuart G Tangye85,86, Sonia Burrel87, Darragh Duffy88, Lluis Quintana-Murci89,90, Adam Klocperk91, Nelli Y Kann92, Anna Shcherbina92, Yu-Lung Lau93, Daniel Leung93, Matthieu Coulongeat94, Julien Marlet95,96, Rutger Koning79, Luis Felipe Reyes97,98, Angélique Chauvineau-Grenier99, Fabienne Venet100,101,102, Guillaume Monneret100,102, Michel C Nussenzweig103,104, Romain Arrestier8,9, Idris Boudhabhay56,57, Hagit Baris-Feldman71,105, David Hagin105,106, Joost Wauters107, Isabelle Meyts108,109, Adam H Dyer110,111, Sean P Kennelly110,111, Nollaig M Bourke111, Rabih Halwani112,113, Fatemeh Saheb Sharif-Askari112, Karim Dorgham114, Jérôme Sallette115, Souad Mehlal Sedkaoui115, Suzan AlKhater116,117, Raúl Rigo-Bonnin118, Francisco Morandeira119, Lucie Roussel120,121, Donald C Vinh120,121, Christian Erikstrup122, Antonio Condino-Neto76, Carolina Prando123, Anastasiia Bondarenko81, András N Spaan3,124, Laurent Gilardin125,126, Jacques Fellay127,128,129, Stanislas Lyonnet130, Kaya Bilguvar131,132,133,134, Richard P Lifton58,131,132, Shrikant Mane132, Mark S Anderson59, Bertrand Boisson1,2,3, Vivien Béziat1,2,3, Shen-Ying Zhang1,2,3, Evangelos Andreakos39, Olivier Hermine2,60, Aurora Pujol135,136,137, Pärt Peterson7, Trine H Mogensen138,139, Lee Rowen41, James Mond140, Stéphanie Debette141,142, Xavier de Lamballerie143, Charles Burdet144,145,146, Lila Bouadma145,147, Marie Zins148, Pere Soler-Palacin6, Roger Colobran149, Guy Gorochov114,150, Xavier Solanich151, Sophie Susen70, Javier Martinez-Picado152,153,154,137,155, Didier Raoult27, Marc Vasse156, Peter K Gregersen72, Lorenzo Piemonti74, Carlos Rodríguez-Gallego46,157, Luigi D Notarangelo30, Helen C Su30,158, Kai Kisand7, Satoshi Okada5, Anne Puel1,2,3, Emmanuelle Jouanguy1,2,3, Charles M Rice4, Pierre Tiberghien16,17, Qian Zhang1,2,3, Jean-Laurent Casanova1,2,3,104, Laurent Abel1,2,3, Aurélie Cobat1,2,3.   

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection fatality rate (IFR) doubles with every 5 y 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, and in ∼1% of individuals aged <70 y and in >4% of those >70 y old in the general population. With a sample of 1,261 unvaccinated deceased patients and 34,159 individuals of the general population sampled before the pandemic, we estimated both IFR and relative risk of death (RRD) across age groups for individuals carrying autoantibodies neutralizing type I IFNs, relative to noncarriers. The RRD associated with any combination of autoantibodies was higher in subjects under 70 y old. For autoantibodies neutralizing IFN-α2 or IFN-ω, the RRDs were 17.0 (95% CI: 11.7 to 24.7) and 5.8 (4.5 to 7.4) for individuals <70 y and ≥70 y old, respectively, whereas, for autoantibodies neutralizing both molecules, the RRDs were 188.3 (44.8 to 774.4) and 7.2 (5.0 to 10.3), respectively. In contrast, IFRs increased with age, ranging from 0.17% (0.12 to 0.31) for individuals <40 y old to 26.7% (20.3 to 35.2) for those ≥80 y old for autoantibodies neutralizing IFN-α2 or IFN-ω, and from 0.84% (0.31 to 8.28) to 40.5% (27.82 to 61.20) for autoantibodies neutralizing both. Autoantibodies against type I IFNs increase IFRs, and are associated with high RRDs, especially when neutralizing both IFN-α2 and IFN-ω. Remarkably, IFRs increase with age, whereas RRDs decrease with age. Autoimmunity to type I IFNs is a strong and common predictor of COVID-19 death.

Entities:  

Keywords:  COVID-19; autoantibodies; infection fatality rate; relative risk; type I IFNs

Mesh:

Substances:

Year:  2022        PMID: 35576468      PMCID: PMC9173764          DOI: 10.1073/pnas.2200413119

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


There have already been more than 250 million severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and at least 5 million deaths from COVID-19 worldwide. Interindividual clinical variability in the course of infection with SARS-CoV-2 is immense, ranging from silent infection in about 40% of cases to acute respiratory distress syndrome in ∼3% of cases (1–5). Death occurs in ∼1% of cases (6). Age is the strongest epidemiological predictor of COVID-19 death, with the risk of death doubling every 5 y of age from childhood onward (6, 7). Men are also at greater risk of death than women (5, 8). Based on previously identified inborn errors of type I interferon (IFN) immunity (9), the COVID Human Genetic Effort (10) has shown that type I IFN immunity is essential for protective immunity to respiratory infection with SARS-CoV-2 (11–14). We have reported that inborn errors of Toll-like receptor 3 (TLR3)-dependent type I IFN immunity can underlie life-threatening COVID-19 pneumonia in a small subset of patients (14). Biochemically deleterious mutations of eight genes were found in 23 patients with critical COVID-19 (3.5% of 659 patients), including 18 patients under 60 y old. Remarkably, four unrelated patients, aged 25 y to 50 y, had autosomal recessive (AR) deficiencies of IFNAR1 or IRF7, including three homozygotes (two for IFNAR1 and one for IRF7) and one compound heterozygote (for IRF7). Three other patients with AR IFNAR1 or TBK1 deficiency were independently reported (15–17). The penetrance of those defects is unknown, but it is probably higher for AR than for autosomal dominant disorders. We then reported that X-linked recessive TLR7 deficiency accounted for 1.8% of cases of life-threatening COVID-19 in men under 60 y old (13, 18). The penetrance of this disorder is apparently high but incomplete, especially in children. Deficiencies of IFNAR1 and IRF7 blunt type I IFN immunity across cell types, whereas defects of the TLR3 and TLR7 pathway preferentially affect respiratory epithelial cells and plasmacytoid dendritic cells, respectively (13, 19). We have also reported the presence of autoantibodies (auto-Abs) neutralizing high concentrations (10 ng/mL, with plasma diluted 1/10) of IFN-α2 and/or IFN-ω in about 10% of patients with critical COVID-19 pneumonia but not in individuals with asymptomatic or mild infection (12). This finding has already been replicated in 14 other cohorts (20–35). We then detected auto-Abs neutralizing lower, more physiological concentrations (100 pg/mL, with plasma diluted 1/10) of IFN-α2 and/or IFN-ω in 13.6% of patients with life-threatening COVID-19, and 18% of deceased patients (11). The proportion of male patients was greater in patients with auto-Abs than in patients without auto-Abs (11, 12). In addition, 1.3% of patients with critical COVID-19 had auto-Abs neutralizing IFN-β (10 ng/mL, with plasma diluted 1/10), most without auto-Abs neutralizing IFN-α2 or IFN-ω. The prevalence of auto-Abs neutralizing IFN-α2 and/or IFN-ω in the general population increased with age, from 0.18% for 10 ng/mL and 1% for 100 pg/mL in individuals between 18 y and 69 y old to 3.4% for 10 ng/mL and 6.3% for 100 pg/mL for individuals over 80 y old (11). The prevalence of auto-Abs against IFN-β did not increase with age. The crude odds ratios (ORs) for critical COVID-19 as opposed to asymptomatic or mild infection in auto-Ab carriers relative to noncarriers ranged from 3 to 67, depending on the type I IFNs recognized and the concentrations neutralized (11). At least 12 lines of evidence strongly suggest that auto-Abs against type I IFNs are strong determinants of COVID-19 death (Table 1). The specific impact of these auto-Abs on COVID-19 mortality according to age and sex remains unknown and is of major interest (52, 53), as both the prevalence of these auto-Abs and the risk of death increase with age and are higher in men. Here, using data reported by Bastard et al. (11), we estimated the relative risk of COVID-19 death (RRD) for type I IFN auto-Ab carriers relative to noncarriers and the corresponding SARS-CoV-2 infection fatality rate (IFR), by sex and age category.
Table 1.

Lines of evidence suggesting that auto-Abs against type I IFNs are strong determinants of the risk of life-threatening COVID-19

EvidenceExamplesReferences
Auto-Abs against type I IFNs are present before SARS-CoV-2 infectionIn patients for whom a sample collected before the COVID-19 pandemic was available, the auto-Abs were found to preexist infection.(36)
These auto-Abs are found in the uninfected general population, and their prevalence increases after the age of 65 y.(11)
Auto-Abs are associated with COVID-19 severityPatients with inborn errors underlying these auto-Abs from infancy onward (e.g., APS-1) have a very high risk of developing critical COVID-19 pneumonia.(36)
The population of patients with critical disease includes a higher proportion of individuals producing these auto-Abs than the population of patients with silent or mild infection (ORs depending on the nature, number, and concentrations of type I IFN neutralized).(11)
The results concerning the proportions of critical cases with auto-Abs against type I IFNs have already been replicated in >15 different cities (Americas, Europe, Asia).(20, 2335)
Auto-Abs against type I IFNs neutralize host antiviral activityThese auto-Abs neutralize the antiviral activity of type I IFNs against SARS-CoV-2 in vitro.(12)
These auto-Abs are found in vivo in the blood of SARS-CoV-2-infected patients, where they neutralize type I IFN.(37)
These auto-Abs are found in vivo in the respiratory tract of patients, where they neutralize type I IFN.(3840)
A key virulence factor of SARS-CoV-2 in vitro is its capacity to impair type I IFN immunity.(41)
Animals with type I IFN deficiency develop critical disease, including animals treated with mAbs that neutralize type I IFNs.(42)
Auto-Abs against cytokines are clinical phenocopies of the corresponding inborn errorsPatients with auto-Abs against type I IFNs are phenocopies of IFNAR1−/−, IFNAR2−/−, and IRF7−/− patients with critical COVID-19 pneumonia.(14)
Patients with auto-Abs against IL-6, IL-17, GM-CSF, and type II IFN are phenocopies of the corresponding inborn errors and underlie staphylococcal disease, mucocutaneous candidiasis, nocardiosis, and mycobacterial diseases, respectively.(4351)
Lines of evidence suggesting that auto-Abs against type I IFNs are strong determinants of the risk of life-threatening COVID-19

Results

Patients and Controls.

We estimated the RRD of individuals carrying auto-Abs neutralizing type I IFNs relative to noncarriers by Firth’s logistic regression, using large samples of 1,261 patients who died from COVID-19 and 34,159 individuals from the general population from whom samples were collected before the pandemic. In this study design, in which controls are sampled from the baseline population regardless of disease status, the ORs obtained by logistic regression approximate the relative risks (RRs) in the absence of the assumption of rare disease (54) (). We confirmed that this statement remains valid in our study design, using Firth’s logistic regression by a simulation study (). For auto-Abs neutralizing low concentrations (100 pg/mL) of IFN-α2 and/or IFN-ω, we used 1,121 patients who died from COVID-19, and 10,778 individuals from the general population (Table 2). Assessments of auto-Abs neutralizing high concentrations (10 ng/mL) of IFN-α2 and/or IFN-ω were available for 1,094 deceased patients, and 34,159 individuals from the general population (Table 2). We also had assessments of auto-Abs neutralizing 10 ng/mL of IFN-β for a subsample of 636 deceased patients, and 9,126 individuals from the general population (Table 2). RRDs were estimated by means of Firth’s bias-corrected logistic regression, considering death as a binary outcome and adjusting for sex and age in six classes (20 y to 39 y, 40 y to 49 y, 50 y to 59 y, 60 y to 69 y, 70 y to 79 y, and ≥80 y). For assessment of the effect of age and sex on RRD, we added interaction terms between auto-Abs and age, and auto-Abs and sex terms to the logistic model (Materials and Methods and ).
Table 2.

Characteristics of the general population cohort and of the cohort of patients who died from COVID-19

Neutralization 100 pg/mLNeutralization 10 ng/mL
CharacteristicsGeneral population (n = 10,778)Deceased patients (n = 1,121)General population (n = 34,159)Deceased patients (n = 1,094)
Male – no. (percent)5,429 (50.4)*821 (73.2)17,859 (52.3)805 (73.5)
Mean age ± SD* – years62.3 ± 17.270.7 ± 13.052.7 ± 18.270.6 ± 13.1
Age distribution – no. (percent)
 20 y to 39 y1,251 (11.6)17 (1.5)9,102 (26.6)15 (1.4)
 40 y to 49 y1,459 (13.5)43 (3.8)5,403 (15.8)47 (4.3)
 50 y to 59 y1,736 (16.1)144 (12.8)6,414 (18.9)152 (13.9)
 60 y to 69 y2,475 (23.0)307 (27.4)6,881 (20.1)289 (26.4)
 70 y to 79 y1,790 (16.6)307 (27.4)3,721 (10.9)296 (27.1)
 ≥80 y2,067 (19.2)303 (27.0)2,638 (7.7)295 (27.0)
Auto-Ab – no. of carriers (percent)
 IFN-α2 and IFN-ω65 (0.6)102 (9.1)45 (0.1)75 (6.8)
 IFN-α2 or IFN-ω246 (2.3)203 (18.1)181 (0.5)130 (11.9)
 IFN-α2151 (1.4)140 (12.5)117 (0.3)118 (10.8)
 IFN-ω160 (1.5)165 (14.7)109 (0.3)87 (8.0)
 IFN-βNANA24 (0.3)6 (0.9)

NA, not available.

*Age is given in years and corresponds to age at the time of recruitment for members of the general population cohort (controls) and age at death for COVID-19 patients.

†IFN-β neutralization experiments were performed only for a concentration of 10 ng/mL, on 9,126 individuals (49.5% male, mean age 60.6 y) from the general population and 636 COVID-19 patients (71.1% male, mean age 72.9 y).

Characteristics of the general population cohort and of the cohort of patients who died from COVID-19 NA, not available. *Age is given in years and corresponds to age at the time of recruitment for members of the general population cohort (controls) and age at death for COVID-19 patients. †IFN-β neutralization experiments were performed only for a concentration of 10 ng/mL, on 9,126 individuals (49.5% male, mean age 60.6 y) from the general population and 636 COVID-19 patients (71.1% male, mean age 72.9 y).

RRD for Carriers of Auto-Abs Neutralizing Low Concentrations of Type I IFNs.

We first estimated the RRD for individuals carrying auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω. As expected, increasing age and maleness were highly significantly associated with greater risk of COVID-19 death (P values ≤ 10−16; ). Different age classes were used to test the interaction with the presence of auto-Abs, and the best fit was obtained with a two-age class model (20 y to 69 y and ≥70 y; ) with a significant effect of the interaction term between auto-Abs and age (P value = 4 × 10−6). The RRD associated with auto-Abs did not vary significantly with sex (P value = 0.81). These interaction results are fully consistent with the distribution of RRD according to age (Fig. 1) and sex (Fig. 1), with a clear decrease in RRD after the age of 70 y, and no sex effect. Overall, the RRD for individuals carrying auto-Abs neutralizing IFN-α2 or IFN-ω decreased from 17.0 (95% CI: 11.7 to 24.7) before the age of 70 y to 5.8 (4.5 to 7.4) for individuals ≥70 y old (Fig. 2 and ). We then applied the same strategy to other combinations of auto-Abs neutralizing low concentrations of IFN, and observed similar age effects on RRDs (). The presence of auto-Abs neutralizing both IFN-α2 and IFN-ω was associated with the highest RRD, estimated at 188.3 (45.8 to 774.4) for individuals under the age of 70 y and 7.2 (5.0 to 10.3) for those over 70 y old (Fig. 2 and ). We also estimated the population attributable fraction (PAF), to assess the proportion of COVID-19 deaths attributable to auto-Abs (). Given the high RRD estimated for all combinations of auto-Abs neutralizing low concentrations of type I IFNs, the PAF was very close to the prevalence of these auto-Abs in deceased patients ().
Fig. 1.

RRDs for individuals with auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω relative to individuals without such auto-Abs, by age and sex. RRDs are displayed on a logarithmic scale (A) for six age classes and (B) for male and female subjects under and over the age of 70 y. Vertical bars represent the 95% CI.

Fig. 2.

RRDs for individuals with auto-Abs neutralizing different combinations of type I IFNs relative to individuals without such auto-Abs, by age. RRDs are displayed on a logarithmic scale for individuals under and over 70 y of age with (A) auto-Abs neutralizing low concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, and IFN-ω and (B) auto-Abs neutralizing high concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, IFN-ω, and IFN-β, relative to individuals without such combinations of auto-Abs. Vertical bars represent the 95% CI.

RRDs for individuals with auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω relative to individuals without such auto-Abs, by age and sex. RRDs are displayed on a logarithmic scale (A) for six age classes and (B) for male and female subjects under and over the age of 70 y. Vertical bars represent the 95% CI. RRDs for individuals with auto-Abs neutralizing different combinations of type I IFNs relative to individuals without such auto-Abs, by age. RRDs are displayed on a logarithmic scale for individuals under and over 70 y of age with (A) auto-Abs neutralizing low concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, and IFN-ω and (B) auto-Abs neutralizing high concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, IFN-ω, and IFN-β, relative to individuals without such combinations of auto-Abs. Vertical bars represent the 95% CI.

RRD for Carriers of Auto-Abs Neutralizing High Concentrations of Type I IFNs.

We then estimated the RRD for the presence versus the absence of auto-Abs neutralizing high concentrations (10 ng/mL) of type I IFN. The effect of age on RRD was similar to that observed with auto-Abs neutralizing low concentrations of type I IFN, with the use of two age classes providing the best fit (), and a decrease of RRD with age (Fig. 2 and ). The RRD for carriers of IFN-α2 or IFN-ω auto-Abs decreased from 62.4 (38.4 to 101.3) before the age of 70 y to 6.8 (5.1 to 9.2) after the age of 70 y, whereas carriers of auto-Abs against both IFN-α2 and IFN-ω had the highest RRD, estimated at 156.5 (57.8 to 423.4) and 12.9 (8.4 to 19.9) for subjects <70 y and ≥70 y old, respectively (Fig. 2 and ). Individuals carrying auto-Abs neutralizing high concentrations of IFN-α2 and/or IFN-ω had a significantly higher RRD than individuals carrying only auto-Abs neutralizing low concentrations (). This finding, consistent with the higher proportion of auto-Abs neutralizing high concentrations in deceased patients than in the general population (), suggests a more deleterious impact of auto-Abs neutralizing high concentrations of IFN-α2 and/or IFN-ω on COVID-19 outcomes. Finally, auto-Abs neutralizing high doses of IFN-β had the lowest RRD before 70 y (7.0 [2.2 to 22.4]), with no significant age-dependent association (P value = 0.37). The PAF for auto-Abs neutralizing high concentrations of type I IFNs was also close to the prevalence of these auto-Abs in deceased patients ().

IFR in Individuals Carrying Auto-Abs Neutralizing Low Concentrations of Type I IFNs.

We then estimated the IFR in SARS-CoV-2–infected individuals carrying auto-Abs neutralizing low concentrations of type I IFNs (IFRAAB). According to Bayes’ theorem, IFRAAB can be expressed as a function of the age-dependent prevalence of auto-Abs in deceased patients and in the general population together with the reported age-specific IFR (6) (). For all combinations of auto-Abs, the IFRAAB was much higher than the overall IFR. Fig. 3 illustrates this much higher IFR for carriers of auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω; it exceeded 1% and 10% for subjects over the ages of 40 y and 60 y, respectively. Considering other combinations of auto-Abs, the highest IFRAAB was observed for carriers of auto-Abs neutralizing both IFN-α2 and IFN-ω, reaching 40.5% (27.8 to 61.2) in individuals over 80 y old (Fig. 4 and ). IFRAAB values were similar for all other combinations of auto-Abs. For example, the IFRAAB for individuals carrying auto-Abs neutralizing either IFN-α2 or IFN-ω ranged from 0.17% (0.12 to 0.31) in individuals under 40 y old to 26.7% (20.3 to 35.2) in individuals over 80 y old. An exception was noted for the IFRAAB of carriers of anti-IFN-α2 auto-Abs, which was 1.8 to 2.6 times higher than that for carriers of auto-Abs neutralizing IFN-α2 or IFN-ω in subjects under 60 y old. The IFRAAB was also generally higher in male subjects than in female subjects, particularly in individuals carrying auto-Abs neutralizing both IFN-α2 and IFN-ω (∼2.7 times higher) ().
Fig. 3.

SARS-CoV-2 IFRs by age. IFRs are provided for the general population for both sexes (gray) and for males only (blue), from the data of O’Driscoll et al. (6); IFRAAB (green) are shown for individuals carrying auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω. Auto-Abs against type I IFNs are associated with high RRDs and strongly increase the IFR, to a much greater extent than being male, and, by inference, than other common classical risk factors providing ORs of death similar to that for being male (around two), such as certain comorbid conditions, or the most significant common genetic variant on chromosome 3 (5).

Fig. 4.

SARS-CoV-2 IFRs for carriers of various combinations of neutralizing auto-Abs, by age. IFRAAB values (percent) are displayed, on a logarithmic scale, by age, for individuals with (A) auto-Abs neutralizing low concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, and IFN-ω and (B) auto-Abs neutralizing high concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, IFN-ω, and IFN-β. Vertical bars represent the 95% CI. Horizontal black lines represent the IFR provided by O’Driscoll et al. (6).

SARS-CoV-2 IFRs by age. IFRs are provided for the general population for both sexes (gray) and for males only (blue), from the data of O’Driscoll et al. (6); IFRAAB (green) are shown for individuals carrying auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω. Auto-Abs against type I IFNs are associated with high RRDs and strongly increase the IFR, to a much greater extent than being male, and, by inference, than other common classical risk factors providing ORs of death similar to that for being male (around two), such as certain comorbid conditions, or the most significant common genetic variant on chromosome 3 (5). SARS-CoV-2 IFRs for carriers of various combinations of neutralizing auto-Abs, by age. IFRAAB values (percent) are displayed, on a logarithmic scale, by age, for individuals with (A) auto-Abs neutralizing low concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, and IFN-ω and (B) auto-Abs neutralizing high concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, IFN-ω, and IFN-β. Vertical bars represent the 95% CI. Horizontal black lines represent the IFR provided by O’Driscoll et al. (6).

IFR in Individuals Carrying Auto-Abs Neutralizing High Concentrations of Type I IFNs.

The age-, sex-, and type I IFN–dependent patterns of IFRAAB observed for carriers of auto-Abs neutralizing high concentrations of IFN-α2 and/or IFN-ω were similar to those previously obtained for carriers of auto-Abs neutralizing low concentrations of these molecules, but with higher values. For example, IFRAAB ranged from 3.1% (1.3 to 20.8) before 40 y of age to 68.7% (42.5 to 95.8) in those over 80 y old for carriers of auto-Abs neutralizing high concentrations of both IFN-α2 and IFN-ω (Fig. 4 and ). IFRAAB values were ∼5 times higher in male than in female subjects, across all age groups and auto-Abs combinations (). For carriers of auto-Abs neutralizing IFN-β (tested only at high concentration), IFRAAB was lower (by a factor of 6 to 71) than for individuals under the age of 80 y with auto-Abs neutralizing IFN-α2 and/or IFN-ω. It ranged from 0.04% (0.01 to 0.16) for individuals under the age of 40 y to 2.2% (0.2 to 9.3) for the 70- to 79-y age group. In the oldest age class, IFRAAB was 31.0% (2.4 to 88.1), similar to that for carriers of auto-Abs against IFN-α2 or IFN-ω, albeit with a large confidence interval.

Discussion

In this study, we took advantage of our previous data (11) to estimate RRDs associated with auto-Abs across age groups. We also confirmed, by a simulation study, that, in our design, ORs obtained by Firth’s logistic regression were reliable estimates of RR. In addition, we used IFR values previously reported for the general population (6) to estimate IFRAAB under the plausible hypothesis that the prevalence of auto-Abs in the general population is a reliable estimation of the prevalence of auto-Abs in infected individuals (). We report high RRDs for carriers of auto-Abs neutralizing type I IFNs, ranging from 2.6 for auto-Abs neutralizing IFN-β (high concentration) in subjects over 70 y old to >150 for auto-Abs neutralizing both IFN-α2 and IFN-ω in subjects under 70 y old. For all types of auto-Abs, RRDs were 3 to 26 times higher in subjects under 70 y old than in older individuals. This is consistent with the increasing prevalence of auto-Abs in the general population with age (∼1% under 70 y of age and >4% over 70 y of age), whereas the proportion of deceased patients with these auto-Abs is stable across age categories (∼15 to 20%). The lower RRD observed in the elderly may be partly explained epidemiologically, by the larger contribution of other mortality risk factors, such as comorbid conditions, which become more frequent with increasing age. At the cellular level, aging is associated with immunosenescence, which may contribute to a defective innate and adaptive response to SARS-CoV-2 infection, thereby conferring a predisposition to severe COVID-19 (55). At the molecular level, global type I IFN immunity in the blood (plasmacytoid dendritic cells) and respiratory tract (respiratory epithelial cells) has been shown to decline with age (56–59). These epidemiological, cellular, and molecular factors probably overlap. Thus, despite their increasing prevalence with age, auto-Abs against type I IFNs make a decreasing contribution to the risk of COVID-19 death with age, due to the progressive development of additional age-dependent risk factors, including other mechanisms of type I IFN deficiency. However, for the very same reasons, IFRAAB increases dramatically with age in patients with auto-Abs, reaching 68.7% for carriers of auto-Abs neutralizing high concentrations of both IFN-α2 and IFN-ω. RRD and IFRAAB varied considerably with the IFNs recognized and the concentrations neutralized by auto-Abs. For combinations involving auto-Abs against IFN-α2 and/or IFN-ω, the neutralization of low concentrations was associated with a lower RRD and a lower IFRAAB than the neutralization of high concentrations, suggesting that residual type I IFN activity may be beneficial in at least some patients. Blood IFN-α concentrations during acute asymptomatic or paucisymptomatic SARS-CoV-2 infection typically range from 1 pg/mL to 100 pg/mL (11). In addition, the presence of auto-Abs neutralizing both IFN-α2 and IFN-ω was associated with the highest RRD and IFRAAB values. Interestingly, IFN-α2 and IFN-ω are encoded by two genes, IFNA2 and IFNW1, that have been shown to have evolved under strong selective constraints (60), consistent with their neutralization being harmful to the host. In addition, patients with auto-Abs against IFN-α2 have been shown to neutralize all 13 IFN-α subtypes (11, 12), rendering any potential IFN-α redundancy inoperative (11, 12). Accordingly, the IFRAAB values for carriers of auto-Abs against IFN-α2 were higher than those for carriers of auto-Abs against IFN-ω in subjects under 60 y of age. In older age groups, this difference tended to disappear, consistent with the lower impact of auto-Abs in the elderly, as discussed above. Finally, auto-Abs neutralizing IFN-β were less common, and associated with lower RRD and IFRAAB values (by about one order of magnitude) than auto-Abs against IFN-α2 and/or IFN-ω, in all age groups except the over-80s. This less deleterious effect of auto-Abs neutralizing IFN-β is consistent with a mouse study showing that the blockade of IFN-β alone does not alter the early dissemination of lymphocytic choriomeningitis virus (61). Overall, auto-Abs against type I IFNs are associated with very high RRD and IFR values, and the magnitude of this effect appears to be much larger than that of other known common risk factors apart from age, such as maleness (Fig. 4), comorbidities, or the most significant common genetic variant on chromosome 3, all of which have been associated with life-threatening COVID-19 with ORs of about two (5). Despite the lower prevalence of these auto-Abs in younger than in older individuals, the much higher IFRAAB observed in individuals with these auto-Abs suggests that the testing of infected individuals in all age groups is warranted. Particular attention should be paid to patients, especially children, with known autoimmune or genetic conditions associated with the production of auto-Abs against type I IFNs. Early treatments could be provided (62), including monoclonal antibodies (63), new antiviral drugs, and/or IFN-β in the absence of auto-Abs against IFN-β (64, 65). Rescue treatment by plasma exchange is a therapeutic option in patients who already have pneumonia (36). A screening of uninfected elderly people could be considered, given that these auto-Abs are found in 4% of individuals over 70 y old. Carriers of auto-Abs should be vaccinated against SARS-CoV-2 as a priority, and should benefit from a booster, whatever their age, and, ideally, from a monitoring of their antibody response to the vaccine. They should not receive live-attenuated vaccines, including the yellow fever vaccine (YFV-17D) and anti-SARS-CoV-2 vaccines based on the YFV-17D backbone (66). In cases of SARS-CoV-2 infection, vaccinated patients should be closely monitored. As SARS-CoV-2 vaccination coverage increases and mortality due to COVID-19 decreases over time, it will be important to reevaluate the risk of fatal COVID-19 in vaccinated individuals with and without auto-Abs. It is currently unclear whether these auto-Abs impair antibody responses to vaccines, and whether a vaccine-triggered antibody response can overcome type I IFN deficiency in response to large or even medium-sized viral inocula. Finally, further investigations are required to determine the contribution of these auto-Abs to other severe viral diseases, and to elucidate the mechanisms underlying their development, which may be age dependent. In the meantime, auto-Abs against type I IFNs should be considered as a leading common predictor of life-threatening COVID-19, after age, as their detection appears to have a much greater predictive value for death, and, by inference, hospitalization and critical COVID-19, than sex, comorbidities, and common genetic variants (Fig. 3).

Materials and Methods

Study Design.

We enrolled 1,261 patients aged 20 y to 99 y old who died from COVID-19 pneumonia before SARS-CoV-2 vaccines became available, and 34,159 controls from the adult general population from whom samples were collected before the COVID-19 pandemic, as previously described (11). The experiments involving human subjects were performed in accordance with institutional, local, and national ethical guidelines. Approval was obtained from the French Ethics Committee “Comité de Protection des Personnes,” the French National Agency for Medicine and Health Product Safety, and the “Institut National de la Santé et de la Recherche Médicale,” in France (protocol C10-13, ID-RCB number 2010-A00634-35), and the Rockefeller University Institutional Review Board in New York (protocol JCA-0700). Participants were consented prior to sampling and collection of clinical data. Auto-Ab determinations were performed as described by Bastard et al. (11, 66), and were classified as neutralizing high concentrations (10 ng/mL) of IFN-α2, IFN-ω, or IFN-β, or low concentrations (100 pg/mL) of IFN-α2 or IFN-ω ().

RRDs and IFRs for Carriers of Neutralizing Autoantibodies.

We estimated the RRD in individuals carrying auto-Abs neutralizing type I IFNs relative to noncarriers, using large samples of patients who died from COVID-19 and of individuals from the general population. For each combination of auto-Abs, a Firth’s bias-corrected logistic regression model, including auto-Ab status, sex, and age, was fitted (). For assessments of the effect of age and sex on the RRD due to auto-Abs, we added interaction terms between auto-Abs and sex, and auto-Abs and age (). A similar Firth’s logistic regression model was used in the subsample of carriers of auto-Abs, to assess the deleteriousness of auto-Abs neutralizing high concentrations relative to those neutralizing low concentrations of type I IFNs (). From the RRD, we calculated the PAF to assess the proportion of COVID-19 deaths attributable to auto-Abs. The PAF can be estimated as follows: P(auto-Abs/death) * (1 − 1/RRD) (67), where P(auto-Abs/death) is the prevalence of auto-Abs in deceased patients. Our goal was also to estimate the fatality rate upon infection with SARS-CoV-2 (IFR) in unvaccinated subjects carrying auto-Abs against type I IFNs across age groups and sexes. To this end, we used the fatality rate upon infection with SARS-CoV-2 in the general unvaccinated population provided by O’Driscoll et al. (6). We estimated the IFR for carriers of neutralizing auto-Abs infected with SARS-CoV-2 (IFRAAB) following Bayes’ theorem, and using the age-dependent prevalence of auto-Abs in deceased patients and in the general population together with the reported age-specific IFR (6) as detailed in .
  66 in total

1.  Nocardia-induced granulocyte macrophage colony-stimulating factor is neutralized by autoantibodies in disseminated/extrapulmonary nocardiosis.

Authors:  Lindsey B Rosen; Nuno Rocha Pereira; Cristóvão Figueiredo; Lauren C Fiske; Roseanne A Ressner; Julie C Hong; Kevin S Gregg; Tracey L Henry; Kirk J Pak; Katherine L Baumgarten; Leonardo Seoane; Julia Garcia-Diaz; Kenneth N Olivier; Adrian M Zelazny; Steven M Holland; Sarah K Browne
Journal:  Clin Infect Dis       Date:  2014-12-03       Impact factor: 9.079

Review 2.  After the pandemic: perspectives on the future trajectory of COVID-19.

Authors:  Amalio Telenti; Ann Arvin; Lawrence Corey; Davide Corti; Michael S Diamond; Adolfo García-Sastre; Robert F Garry; Edward C Holmes; Phil Pang; Herbert W Virgin
Journal:  Nature       Date:  2021-07-08       Impact factor: 49.962

3.  Diverse functional autoantibodies in patients with COVID-19.

Authors:  Eric Y Wang; Tianyang Mao; Jon Klein; Yile Dai; John D Huck; Jillian R Jaycox; Feimei Liu; Ting Zhou; Benjamin Israelow; Patrick Wong; Andreas Coppi; Carolina Lucas; Julio Silva; Ji Eun Oh; Eric Song; Emily S Perotti; Neil S Zheng; Suzanne Fischer; Melissa Campbell; John B Fournier; Anne L Wyllie; Chantal B F Vogels; Isabel M Ott; Chaney C Kalinich; Mary E Petrone; Anne E Watkins; Charles Dela Cruz; Shelli F Farhadian; Wade L Schulz; Shuangge Ma; Nathan D Grubaugh; Albert I Ko; Akiko Iwasaki; Aaron M Ring
Journal:  Nature       Date:  2021-05-19       Impact factor: 49.962

4.  Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort.

Authors:  Raphael Carapito; Richard Li; Julie Helms; Christine Carapito; Sharvari Gujja; Véronique Rolli; Raony Guimaraes; Jose Malagon-Lopez; Perrine Spinnhirny; Alexandre Lederle; Razieh Mohseninia; Aurélie Hirschler; Leslie Muller; Paul Bastard; Adrian Gervais; Qian Zhang; François Danion; Yvon Ruch; Maleka Schenck; Olivier Collange; Thiên-Nga Chamaraux-Tran; Anne Molitor; Angélique Pichot; Alice Bernard; Ouria Tahar; Sabrina Bibi-Triki; Haiguo Wu; Nicodème Paul; Sylvain Mayeur; Annabel Larnicol; Géraldine Laumond; Julia Frappier; Sylvie Schmidt; Antoine Hanauer; Cécile Macquin; Tristan Stemmelen; Michael Simons; Xavier Mariette; Olivier Hermine; Samira Fafi-Kremer; Bernard Goichot; Bernard Drenou; Khaldoun Kuteifan; Julien Pottecher; Paul-Michel Mertes; Shweta Kailasan; M Javad Aman; Elisa Pin; Peter Nilsson; Anne Thomas; Alain Viari; Damien Sanlaville; Francis Schneider; Jean Sibilia; Pierre-Louis Tharaux; Jean-Laurent Casanova; Yves Hansmann; Daniel Lidar; Mirjana Radosavljevic; Jeffrey R Gulcher; Ferhat Meziani; Christiane Moog; Thomas W Chittenden; Seiamak Bahram
Journal:  Sci Transl Med       Date:  2022-01-19       Impact factor: 17.956

5.  A Global Effort to Define the Human Genetics of Protective Immunity to SARS-CoV-2 Infection.

Authors:  Jean-Laurent Casanova; Helen C Su
Journal:  Cell       Date:  2020-05-13       Impact factor: 41.582

6.  Preexisting autoantibodies to type I IFNs underlie critical COVID-19 pneumonia in patients with APS-1.

Authors:  Paul Bastard; Elizaveta Orlova; Leila Sozaeva; Romain Lévy; Alyssa James; Monica M Schmitt; Sebastian Ochoa; Maria Kareva; Yulia Rodina; Adrian Gervais; Tom Le Voyer; Jérémie Rosain; Quentin Philippot; Anna-Lena Neehus; Elana Shaw; Mélanie Migaud; Lucy Bizien; Olov Ekwall; Stefan Berg; Guglielmo Beccuti; Lucia Ghizzoni; Gérard Thiriez; Arthur Pavot; Cécile Goujard; Marie-Louise Frémond; Edwin Carter; Anya Rothenbuhler; Agnès Linglart; Brigite Mignot; Aurélie Comte; Nathalie Cheikh; Olivier Hermine; Lars Breivik; Eystein S Husebye; Sébastien Humbert; Pierre Rohrlich; Alain Coaquette; Fanny Vuoto; Karine Faure; Nizar Mahlaoui; Primož Kotnik; Tadej Battelino; Katarina Trebušak Podkrajšek; Kai Kisand; Elise M N Ferré; Thomas DiMaggio; Lindsey B Rosen; Peter D Burbelo; Martin McIntyre; Nelli Y Kann; Anna Shcherbina; Maria Pavlova; Anna Kolodkina; Steven M Holland; Shen-Ying Zhang; Yanick J Crow; Luigi D Notarangelo; Helen C Su; Laurent Abel; Mark S Anderson; Emmanuelle Jouanguy; Bénédicte Neven; Anne Puel; Jean-Laurent Casanova; Michail S Lionakis
Journal:  J Exp Med       Date:  2021-07-05       Impact factor: 14.307

7.  Inherited IFNAR1 Deficiency in a Child with Both Critical COVID-19 Pneumonia and Multisystem Inflammatory Syndrome.

Authors:  Hassan Abolhassani; Nils Landegren; Paul Bastard; Marie Materna; Mohammadreza Modaresi; Likun Du; Maribel Aranda-Guillén; Fabian Sardh; Fanglei Zuo; Peng Zhang; Harold Marcotte; Nico Marr; Taushif Khan; Manar Ata; Fatima Al-Ali; Remi Pescarmona; Alexandre Belot; Vivien Béziat; Qian Zhang; Jean-Laurent Casanova; Olle Kämpe; Shen-Ying Zhang; Lennart Hammarström; Qiang Pan-Hammarström
Journal:  J Clin Immunol       Date:  2022-01-28       Impact factor: 8.542

Review 8.  Type I interferons and SARS-CoV-2: from cells to organisms.

Authors:  Paul Bastard; Qian Zhang; Shen-Ying Zhang; Emmanuelle Jouanguy; Jean-Laurent Casanova
Journal:  Curr Opin Immunol       Date:  2022-01-25       Impact factor: 7.486

9.  Interferon-α2 Auto-antibodies in Convalescent Plasma Therapy for COVID-19.

Authors:  Matthijs P Raadsen; Arvind Gharbharan; Carlijn C E Jordans; Anna Z Mykytyn; Mart M Lamers; Petra B van den Doel; Henrik Endeman; Johannes P C van den Akker; Corine H GeurtsvanKessel; Marion P G Koopmans; Casper Rokx; Marco Goeijenbier; Eric C M van Gorp; Bart J A Rijnders; Bart L Haagmans
Journal:  J Clin Immunol       Date:  2021-11-12       Impact factor: 8.317

10.  Harnessing Type I IFN Immunity Against SARS-CoV-2 with Early Administration of IFN-β.

Authors:  Donald C Vinh; Laurent Abel; Paul Bastard; Matthew P Cheng; Antonio Condino-Neto; Peter K Gregersen; Filomeen Haerynck; Maria-Pia Cicalese; David Hagin; Pere Soler-Palacín; Anna M Planas; Aurora Pujol; Luigi D Notarangelo; Qian Zhang; Helen C Su; Jean-Laurent Casanova; Isabelle Meyts
Journal:  J Clin Immunol       Date:  2021-06-08       Impact factor: 8.542

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  11 in total

1.  Anti-type I interferon antibodies as a cause of severe COVID-19.

Authors:  David C Fajgenbaum; Adrian C Hayday; Angela J Rogers; Greg J Towers; Andreas Wack; Ivan Zanoni
Journal:  Fac Rev       Date:  2022-06-10

Review 2.  The AI-Assisted Identification and Clinical Efficacy of Baricitinib in the Treatment of COVID-19.

Authors:  Peter J Richardson; Bruce W S Robinson; Daniel P Smith; Justin Stebbing
Journal:  Vaccines (Basel)       Date:  2022-06-15

3.  Vaccine breakthrough hypoxemic COVID-19 pneumonia in patients with auto-Abs neutralizing type I IFNs.

Authors:  Paul Bastard; Sara Vazquez; Jamin Liu; Matthew T Laurie; Chung Yu Wang; Adrian Gervais; Tom Le Voyer; Lucy Bizien; Colin Zamecnik; Quentin Philippot; Jérémie Rosain; Chun Jimmie Ye; Aurélie Cobat; Leslie M Thompson; Evangelos Andreakos; Qian Zhang; Mark S Anderson; Jean-Laurent Casanova; Joseph L DeRisi; Emilie Catherinot; Andrew Willmore; Anthea M Mitchell; Rebecca Bair; Pierre Garçon; Heather Kenney; Arnaud Fekkar; Maria Salagianni; Garyphallia Poulakou; Eleni Siouti; Sabina Sahanic; Ivan Tancevski; Günter Weiss; Laurenz Nagl; Jérémy Manry; Sotirija Duvlis; Daniel Arroyo-Sánchez; Estela Paz Artal; Luis Rubio; Cristiano Perani; Michela Bezzi; Alessandra Sottini; Virginia Quaresima; Lucie Roussel; Donald C Vinh; Luis Felipe Reyes; Margaux Garzaro; Nevin Hatipoglu; David Boutboul; Yacine Tandjaoui-Lambiotte; Alessandro Borghesi; Anna Aliberti; Irene Cassaniti; Fabienne Venet; Guillaume Monneret; Rabih Halwani; Narjes Saheb Sharif-Askari; Jeffrey Danielson; Sonia Burrel; Caroline Morbieu; Yurii Stepanovskyy; Anastasia Bondarenko; Alla Volokha; Oksana Boyarchuk; Alenka Gagro; Mathilde Neuville; Bénédicte Neven; Sevgi Keles; Romain Hernu; Antonin Bal; Antonio Novelli; Giuseppe Novelli; Kahina Saker; Oana Ailioaie; Arnau Antolí; Eric Jeziorski; Gemma Rocamora-Blanch; Carla Teixeira; Clarisse Delaunay; Marine Lhuillier; Paul Le Turnier; Yu Zhang; Matthieu Mahevas; Qiang Pan-Hammarström; Hassan Abolhassani; Thierry Bompoil; Karim Dorgham; Guy Gorochov; Cédric Laouenan; Carlos Rodríguez-Gallego; Lisa F P Ng; Laurent Renia; Aurora Pujol; Alexandre Belot; François Raffi; Luis M Allende; Javier Martinez-Picado; Tayfun Ozcelik; Sevgi Keles; Luisa Imberti; Luigi D Notarangelo; Jesus Troya; Xavier Solanich; Shen-Ying Zhang; Anne Puel; Michael R Wilson; Sophie Trouillet-Assant; Laurent Abel; Emmanuelle Jouanguy
Journal:  Sci Immunol       Date:  2022-06-14

4.  Recessive inborn errors of type I IFN immunity in children with COVID-19 pneumonia.

Authors:  Qian Zhang; Daniela Matuozzo; Jérémie Le Pen; Qiang Pan-Hammarström; Bertrand Boisson; Paul Bastard; Helen C Su; Stéphanie Boisson-Dupuis; Laurent Abel; Charles M Rice; Shen-Ying Zhang; Aurélie Cobat; Jean-Laurent Casanova; Danyel Lee; Leen Moens; Takaki Asano; Jonathan Bohlen; Zhiyong Liu; Marcela Moncada-Velez; Yasemin Kendir-Demirkol; Huie Jing; Lucy Bizien; Astrid Marchal; Hassan Abolhassani; Selket Delafontaine; Giorgia Bucciol; Gulsum Ical Bayhan; Sevgi Keles; Ayca Kiykim; Selda Hancerli; Filomeen Haerynck; Benoit Florkin; Nevin Hatipoglu; Tayfun Ozcelik; Guillaume Morelle; Mayana Zatz; Lisa F P Ng; David Chien Lye; Barnaby Edward Young; Yee-Sin Leo; Clifton L Dalgard; Richard P Lifton; Laurent Renia; Isabelle Meyts; Emmanuelle Jouanguy; Lennart Hammarström
Journal:  J Exp Med       Date:  2022-06-16       Impact factor: 17.579

5.  Critically ill COVID-19 patients with neutralizing autoantibodies against type I interferons have increased risk of herpesvirus disease.

Authors:  Idoia Busnadiego; Irene A Abela; Pascal M Frey; Daniel A Hofmaenner; Thomas C Scheier; Reto A Schuepbach; Philipp K Buehler; Silvio D Brugger; Benjamin G Hale
Journal:  PLoS Biol       Date:  2022-07-05       Impact factor: 9.593

Review 6.  From rare disorders of immunity to common determinants of infection: Following the mechanistic thread.

Authors:  Jean-Laurent Casanova; Laurent Abel
Journal:  Cell       Date:  2022-08-18       Impact factor: 66.850

Review 7.  Clinical implications of host genetic variation and susceptibility to severe or critical COVID-19.

Authors:  Caspar I van der Made; Mihai G Netea; Frank L van der Veerdonk; Alexander Hoischen
Journal:  Genome Med       Date:  2022-08-19       Impact factor: 15.266

8.  Autoantibodies against type I IFNs in patients with critical influenza pneumonia.

Authors:  Qian Zhang; Andrés Pizzorno; Lisa Miorin; Paul Bastard; Adrian Gervais; Tom Le Voyer; Lucy Bizien; Kai Kisand; Anne Puel; Emmanuelle Jouanguy; Laurent Abel; Aurélie Cobat; Sophie Trouillet-Assant; Adolfo García-Sastre; Jean-Laurent Casanova; Jeremy Manry; Jérémie Rosain; Quentin Philippot; Kelian Goavec; Blandine Padey; Anastasija Cupic; Emilie Laurent; Kahina Saker; Martti Vanker; Karita Särekannu; Tamara García-Salum; Marcela Ferres; Nicole Le Corre; Javier Sánchez-Céspedes; María Balsera-Manzanero; Jordi Carratala; Pilar Retamar-Gentil; Gabriela Abelenda-Alonso; Adoración Valiente; Pierre Tiberghien; Marie Zins; Stéphanie Debette; Isabelle Meyts; Filomeen Haerynck; Riccardo Castagnoli; Luigi D Notarangelo; Luis I Gonzalez-Granado; Nerea Dominguez-Pinilla; Evangelos Andreakos; Vasiliki Triantafyllia; Carlos Rodríguez-Gallego; Jordi Solé-Violán; José Juan Ruiz-Hernandez; Felipe Rodríguez de Castro; José Ferreres; Marisa Briones; Joost Wauters; Lore Vanderbeke; Simon Feys; Chen-Yen Kuo; Wei-Te Lei; Cheng-Lung Ku; Galit Tal; Amos Etzioni; Suhair Hanna; Thomas Fournet; Jean-Sebastien Casalegno; Gregory Queromes; Laurent Argaud; Etienne Javouhey; Manuel Rosa-Calatrava; Elisa Cordero; Teresa Aydillo; Rafael A Medina
Journal:  J Exp Med       Date:  2022-09-16       Impact factor: 17.579

9.  Increased Presence of Antibodies against Type I Interferons and Human Endogenous Retrovirus W in Intensive Care Unit COVID-19 Patients.

Authors:  Elena Rita Simula; Maria Antonietta Manca; Marta Noli; Somaye Jasemi; Stefano Ruberto; Sergio Uzzau; Salvatore Rubino; Pietro Manca; Leonardo A Sechi
Journal:  Microbiol Spectr       Date:  2022-07-19

10.  COVID-19 is associated with bystander polyclonal autoreactive B cell activation as reflected by a broad autoantibody production, but none is linked to disease severity.

Authors:  Wei Jiang; Douglas Johnson; Ruth Adekunle; Hughes Heather; Wanli Xu; Xiaomei Cong; Xueling Wu; Hongkuan Fan; Lars-Magnus Andersson; Josefina Robertson; Magnus Gisslén
Journal:  J Med Virol       Date:  2022-09-10       Impact factor: 20.693

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