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1.
Daniela Matuozzo; Estelle Talouarn; Astrid Marchal; Jeremy Manry; Yoann Seeleuthner; Yu Zhang; Alexandre Bolze; Matthieu Chaldebas; Baptiste Milisavljevic; Peng Zhang; Adrian Gervais; Paul Bastard; Takaki Asano; Lucy Bizien; Federica Barzaghi; Hassan Abolhassani; Ahmad Abou Tayoun; Alessandro Aiuti; Ilad Alavi Darazam; Luis Allende; Rebeca Alonso-Arias; Andres Augusto Arias; Gokhan Aytekin; Peter Bergman; Simone Bondesan; Yenan Bryceson; Ingrid Bustos; Oscar Cabrera-Marante; Sheila Carcel; Paola Carrera; Giorgio Casari; Khalil Chaibi; Roger Colobran; Antonio Condino-Neto; Laura Covill; Loubna El Zein; Carlos Flores; Peter Gregersen; Marta Gut; Filomeen Haerynck; Rabih Halwani; Selda Hancerli; Lennart Hammarstrom; Nevin Hatipoglu; Adem Karbuz; Sevgi Keles; Christele Kyheng; Rafael Leon-Lopez; Jose Luis Franco; Davood Mansouri; Javier Martinez-Picado; Ozge Metin Akcan; Isabelle Migeotte; Pierre-Emmanuel Morange; Guillaume Morelle; Andrea Martin-Nalda; Giuseppe Novelli; Antonio Novelli; Tayfun Ozcelik; Figen Palabiyik; Qiang Pan-Hammarstrom; Rebeca Perez de Diego; Laura Planas-Serra; Daniel Pleguezuelo; Carolina Prando; Aurora Pujol; Luis Felipe Reyes; Jacques Riviere; Carlos Rodriguez-Gallego; Julian Rojas; Patrizia Rovere-Querini; Agatha Schluter; Mohammad Shahrooei; Ali Sobh; Pere Soler-Palacin; Yacine Tandjaoui-Lambiotte; Imran Tipu; Cristina Tresoldi; Jesus Troya; Diederik van de Beek; Mayana Zatz; Pawel Zawadzki; Saleh Zaid Al-Muhsen; Hagit Baris-Feldman; Manish Butte; Stefan Constantinescu; Megan Cooper; Clifton Dalgard; Jacques Fellay; James Heath; Yu-Lung Lau; Richard Lifton; Tom Maniatis; Trine Mogensen; Horst von Bernuth; Alban Lermine; Michel Vidaud; Anne Boland; Jean-Francois Deleuze; Robert Nussbaum; Amanda Kahn-Kirby; France Mentre; Sarah Tubiana; Guy Gorochov; Florence Tubach; Pierre Hausfater; Isabelle Meyts; Shen-Ying Zhang; Anne Puel; Luigi Notarangelo; Stephanie Boisson-Dupuis; Helen Su; Bertrand Boisson; Emmanuelle Jouanguy; Jean-Laurent Casanova; Qian Zhang; Laurent Abel; Aurelie Cobat.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.10.22.22281221

ABSTRACT

Background We previously reported inborn errors of TLR3- and TLR7-dependent type I interferon (IFN) immunity in 1-5% of unvaccinated patients with life-threatening COVID-19, and autoantibodies against type I IFN in another 15-20% of cases. Methods We report here a genome-wide rare variant burden association analysis in 3,269 unvaccinated patients with life-threatening COVID-19 (1,301 previously reported and 1,968 new patients), and 1,373 unvaccinated SARS-CoV-2-infected individuals without pneumonia. A quarter of the patients tested had antibodies against type I IFN (234 of 928) and were excluded from the analysis. Results No gene reached genome-wide significance. Under a recessive model, the most significant gene with at-risk variants was TLR7, with an OR of 27.68 (95%CI:1.5-528.7, P=1.1x10-4), in analyses restricted to biochemically loss-of-function (bLOF) variants. We replicated the enrichment in rare predicted LOF (pLOF) variants at 13 influenza susceptibility loci involved in TLR3-dependent type I IFN immunity (OR=3.70 [95%CI:1.3-8.2], P=2.1x10-4). Adding the recently reported TYK2 COVID-19 locus strengthened this enrichment, particularly under a recessive model (OR=19.65 [95%CI:2.1-2635.4]; P=3.4x10-3). When these 14 loci and TLR7 were considered, all individuals hemizygous (n=20) or homozygous (n=5) for pLOF or bLOF variants were patients (OR=39.19 [95%CI:5.2-5037.0], P=4.7x10-7), who also showed an enrichment in heterozygous variants (OR=2.36 [95%CI:1.0-5.9], P=0.02). Finally, the patients 13 with pLOF or bLOF variants at these 15 loci were significantly younger (mean age [SD]=43.3 [20.3] years) than the other patients (56.0 [17.3] years; P=1.68x10-5). Conclusions Rare variants of TLR3- and TLR7-dependent type I IFN immunity genes can underlie lifethreatening COVID-19, particularly with recessive inheritance, in patients under 60 years old.


Subject(s)
Metabolism, Inborn Errors , Pneumonia , Severe Acute Respiratory Syndrome , COVID-19
2.
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
3.
researchsquare; 2021.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-915062.v1

ABSTRACT

Recent studies reported the presence of pre-existing autoantibodies (auto-Abs) neutralizing type I interferons (IFNs) in at least 15% of patients with critical or severe COVID-19 pneumonia. In one study, these auto-Abs were found in almost 20% of deceased patients across all ages. We aimed to assess the prevalence and clinical impact of the auto-Abs to type I IFNs in Seine-Saint-Denis district, which was one of the most affected areas by COVID-19 in France during the first wave. We tested for the presence of auto-Abs neutralizing type I IFNs in a cohort of patients admitted for critical COVID-19 pneumonia during the first wave in the spring of 2020 in medicine departments at Robert Ballanger Hospital, Aulnay sous Bois. We found circulating auto-Abs that neutralized 100 pg/mL IFN-α2 and/or IFN-ω in plasma 1/10 in 7.9% (11 of 139) of patients hospitalized for critical COVID-19. The presence of neutralizing auto-Abs was associated with an increased risk of mortality as these auto-Abs were detected in 21% of patients who died from COVID-19 pneumonia. Deceased patients with and without auto-Abs did not present overt clinical differences. These results confirm both the importance of IFN-I immunity in host defense against SARS-CoV-2 infection and the usefulness of detection of auto-Abs neutralizing type I IFNs in the management of patients.


Subject(s)
COVID-19
4.
medrxiv; 2021.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2021.06.21.21257822

ABSTRACT

The etiopathogenesis of severe COVID-19 remains unknown. Indeed given major confounding factors (age and co-morbidities), true drivers of this condition have remained elusive. Here, we employ an unprecedented multi-omics analysis, combined with artificial intelligence, in a young patient cohort where major co-morbidities have been excluded at the onset. Here, we established a three-tier cohort of individuals younger than 50 years without major comorbidities. These included 47 "critical" (in the ICU under mechanical ventilation) and 25 "non-critical" (in a noncritical care ward) COVID-19 patients as well as 22 healthy individuals. The analyses included whole-genome sequencing, whole-blood RNA sequencing, plasma and blood mononuclear cells proteomics, cytokine profiling and high-throughput immunophenotyping. An ensemble of machine learning, deep learning, quantum annealing and structural causal modeling led to key findings. Critical patients were characterized by exacerbated inflammation, perturbed lymphoid/myeloid compartments, coagulation and viral cell biology. Within a unique gene signature that differentiated critical from noncritical patients, several driver genes promoted severe COVID-19 among which the upregulated metalloprotease ADAM9 was key. This gene signature was replicated in an independent cohort of 81 critical and 73 recovered COVID-19 patients, as were ADAM9 transcripts, soluble form and proteolytic activity. Ex vivo ADAM9 inhibition affected SARS-CoV-2 uptake and replication in human lung epithelial cells. In conclusion, within a young, otherwise healthy, COVID-19 cohort, we provide the landscape of biological perturbations in vivo where a unique gene signature differentiated critical from non-critical patients. The key driver, ADAM9, interfered with SARS-CoV-2 biology. A repositioning strategy for anti-ADAM9 therapeutic is feasible. One sentence summaryEtiopathogenesis of severe COVID19 in a young patient population devoid of comorbidities.


Subject(s)
COVID-19 , Inflammation , Blood Coagulation Disorders, Inherited
5.
biorxiv; 2021.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2021.03.09.434529

ABSTRACT

Type I interferon (IFN-I) neutralizing autoantibodies have been found in some critical COVID-19 patients; however, their prevalence and longitudinal dynamics across the disease severity scale, and functional effects on circulating leukocytes remain unknown. Here, in 284 COVID-19 patients, we found IFN-I autoantibodies in 19% of critical, 6% of severe and none of the moderate cases. Longitudinal profiling of over 600,000 peripheral blood mononuclear cells using multiplexed single-cell epitope and transcriptome sequencing from 54 COVID-19 patients, 15 non-COVID-19 patients and 11 non-hospitalized healthy controls, revealed a lack of IFN-I stimulated gene (ISG-I) response in myeloid cells from critical cases, including those producing anti-IFN-I autoantibodies. Moreover, surface protein analysis showed an inverse correlation of the inhibitory receptor LAIR-1 with ISG-I expression response early in the disease course. This aberrant ISG-I response in critical patients with and without IFN-I autoantibodies, supports a unifying model for disease pathogenesis involving ISG-I suppression via convergent mechanisms.


Subject(s)
COVID-19
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