由于自身抗体或遗传缺陷导致 I 型干扰素免疫力受损:前瞻性国家队列 (COVIFERON)
The major role of human genetic factors in the immune response to infections is now well established, particularly for viral infections. In the context of the COVID-19 pandemic, the following results have identified 1) several inborn errors of immunity (IEI) affecting the response or production of type I interferons (type I IFNs) in around 4% of adult patients with severe clinical disease, and 2) the presence of type I IFN-neutralizing autoantibodies (auto-Abs) in around 15% of severe cases, and 20% of deaths. The investigators would like to carry out a longitudinal immunological and clinical follow-up study on a prospective cohort of patients with either a genetic defect affecting the type I IFN-dependent immune response, or anti-IFN-I auto-Abs, to monitor the incidence of infectious and/or autoimmune events in these individuals, the evolution of neutralizing power, and the kinetics of auto-Abs. This should lead to a better understanding of the prevention and management of these patients.
The research design is a national multicenter prospective cohort of adults with 1) anti-IFN-I auto-Abs or 2) IEI- IFN-I, with follow-up from 1 to 4 years. These individuals may be: 1) patients who have or have had clinical disease (related to COVID-19, other viral infections, autoimmune disorders); or 2) "healthy" participants (e.g. blood donors, relatives of an IEI patient).
Follow-up will include:
- yearly visits to the Clinical Investigation Center (CIC) or a clinical department with blood sampling;
- specific visit in case of hospitalization for infectious events or adverse effects of vaccination, exacerbation or new diagnosis of auto-immune disease, new diagnosis of cancer, or SARS-CoV-2 infection whether or not patients are admitted to hospital, with blood sampling.
In addition, a retrospective "passive" follow-up will be implemented through matching with the data from the SNDS (National Health Data System), in order to collect clinical events of and healthcare resource consumption. Moreover, matching with controls adults from the national CONSTANCES cohort, not carrying auto-Abs against type I IFNs nor IEI-IFN-I, will be performed. (ratio 3:1; matching on age (+/- 5 years), gender and geographic region of recruitment). Individuals under long-lasting immunosuppressive or immunomodulatory drugs will not be eligible. Follow-up of controls, which will be carried out as part of the CONSTANCES cohort, will include web-based questionnaires, every 12 months, in addition to linking with SNDS data as already done in this cohort.
Inclusion visit:
After signing the consent form, the following tests will be performed:
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Demographic characteristics (sex, age, country of birth)
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Medical history from participant and family member(s) including infectious and auto-immune diseases, cancers and vaccination status and side effects
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Blood samples for:
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full blood cell count;
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classical autoimmune investigations (anti-nuclear, anti-ENA, native anti-DNA, anti- thyroid antibodies, rheumatoid factor);
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immunophenotyping*;
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auto-Abs against type I IFNs, other cytokines*, or other target proteins* (dosage and neutralization activity);
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Genetic explorations by whole-exome or whole-genome sequencing*;
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Biobanking (DNA, plasma/sera; cryopreserved peripheral blood mononuclear cells (PBMCs).
- these biological analyses will be carried out as part of dedicated COVIFERON RHU5 workpackages.
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In addition, vaccination against SARS-CoV-2 and influenza will be offered to these subjects as a priority, as part of their usual care.
Follow-up visits :
Annual visits to the CIC :
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Medical history since last visit, including infectious, auto-immune and oncologic events, vaccination status and side effects
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Blood samples for:
- full blood cell count;
- classical autoimmune investigation (anti-nuclear, anti-ENA, native anti- DNA, anti-thyroid antibodies, rheumatoid factor);
- immunophenotyping;
- Auto-Abs against type I IFNs, other cytokines, or other target proteins (dosage and neutralization)
- Biobanking (DNA, plasma, cryopreserved peripheral blood mononuclear cells (PBMCs))
Additional specific visit in the event of a clinical event of interest, at any time during follow-up:
- In case of SARS-CoV-2 infection, whatever the severity of the disease: blood sampling for determination and neutralization of type I anti-IFN autoAbs, CBC, and biobanking (plasma and PBMC) and teleconsultation with the CIC in charge of patients, as soon as possible.
- In the event of hospitalization for infectious events or exacerbation or new diagnosis of an auto-immune disease: blood sampling for determination and neutralization of anti-IFN-I autoAbs, CBC, and biobanking (plasma and PBMCs) and collection of the hospitalization report in the case report form on a dedicated page.
研究概览
研究类型
注册 (估计的)
联系人和位置
学习联系方式
- 姓名:Xavier-Marie DUVAL, PU-PH
- 电话号码:01 40 25 71 48
- 邮箱:xavier.duval@aphp.fr
学习地点
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Lille、法国
- 招聘中
- Cic Lille
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接触:
- Dominique DEPLANQUE, PU-PH
- 电话号码:03 20 44 68 91
- 邮箱:dominique.deplanque@univ-lille.fr
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副研究员:
- Dominique DEPLANQUE, PU-PU
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Lyon、法国
- 招聘中
- LYON HCL
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接触:
- Alexandre BELOT, PU-PH
- 电话号码:04 27 85 61 26
- 邮箱:alexandre.belot@chu-lyon.fr
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副研究员:
- Alexandre BELOT, PU-PU
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Montpellier、法国
- 招聘中
- Cic Montpellier
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接触:
- Florence GALTIER, PH
- 电话号码:04 67 33 23 29
- 邮箱:f-galtier@chu-montpellier.fr
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副研究员:
- Florence GALTIER, PH
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Paris、法国
- 招聘中
- Cic Bichat
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接触:
- Xavier-Marie DUVAL, PU-PH
- 电话号码:01 40 25 71 48
- 邮箱:xavier.duval@aphp.fr
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首席研究员:
- Xavier-Marie DUVAL, PU-PU
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Paris、法国
- 招聘中
- Cic Creteil
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接触:
- Philippe LE CORVOISIER, PU-PH
- 电话号码:06 88 25 81 15
- 邮箱:philippe.lecorvoisier@aphp.fr
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副研究员:
- Philippe LE CORVOISIER, PU-PU
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Paris、法国
- 招聘中
- Cic La Salpetriere
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接触:
- Joe-Elie SALEM, PU-PH
- 电话号码:01 42 17 85 31
- 邮箱:joe-elie.salem@aphp.fr
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副研究员:
- Joe-Elie SALEM, PU-PU
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Paris、法国
- 招聘中
- Cic Necker
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接触:
- Michaela SEMERARO, PH
- 电话号码:01 42 19 27 16
- 邮箱:michaela.semeraro@aphp.fr
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副研究员:
- Michaela SEMERARO, PH
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Paris、法国
- 招聘中
- Cic St Louis
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接触:
- Jean-Jacques KILADJIAN, PU-PH
- 电话号码:01 42 49 94 94
- 邮箱:jean-jacques.kiladjian@aphp.fr
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副研究员:
- Jean-Jacques KILADJIAN, PU-PU
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Tours、法国
- 招聘中
- Cic Tours
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接触:
- Valérie GISSOT, PH
- 电话号码:02 34 37 96 53
- 邮箱:valerie.gissot@univ-tours.fr
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副研究员:
- Valérie GISSOT, PH
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
Adults with auto-Abs against IFN-I or an IEI-IFN-I who: 1) either have or have had a clinical disease (COVID-19 related, other viral infections, adverse effect of vaccination, auto-immune disorders); or 2) are healthy (e.g. blood donor, relatives of a participant).
描述
Inclusion Criteria:
- Age >18 years
- History of carrying 1) auto-Abs against type I IFNs or 2) IEI impairing the response to, or the production of, type I IFNs (IFN-I-IEI)
- Affiliated to social security
- Written informed consent
Exclusion Criteria:
- Participation to an interventional clinical trial on a pharmacological treatment
- Clinical condition leading to life expectancy less than 1 year
- Subject to a legal protection measure (safeguard of justice, curatorship, tutorship)
- Individuals deprived of freedom
学习计划
研究是如何设计的?
设计细节
- 观测模型:COHORT
- 时间观点:PROSPECTIVE
队列和干预
团体/队列 |
干预/治疗 |
|---|---|
|
Subjects with auto-Abs against type I IFNs or inborn errors of immunity
The study examines how autoantibodies (auto-Abs) against type I interferons (IFNs) and inborn errors of immunity affect susceptibility to infectious diseases, especially COVID-19. Individuals with auto-Abs against type I IFNs have impaired immune responses to viral infections, putting them at higher risk for severe COVID-19, leading to worse outcomes like pneumonia or cytokine storms. Those with inborn errors of immunity have genetic defects that weaken immune function, increasing vulnerability to infections, including COVID-19. The study compares these groups to understand immune dysfunctions and identify potential therapeutic targets. |
After signature of consent form,blood samples will be collected for full blood cell count;classical autoimmune investigations, immunophenotyping;auto-Abs against type IIFNs, other cytokines, or other target proteins ,Genetic explorations by whole-exome or whole-genome sequencing;Biobanking |
研究衡量的是什么?
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
primary endpoint n°1 : quantitative dosage of auto-Abs against type I IFNs
大体时间:year 0, year 1, year 2 and year 3
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Method: Quantitative trait will be measured by Gyros using commercially available internal control antibodies. |
year 0, year 1, year 2 and year 3
|
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primary endpoint n°2 : neutralization capacity evaluation of auto-Abs against type I IFNs
大体时间:year 0, year 1, year 2 and year 3
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The neutralization capacity will be performed as previously reported using an in vitro luciferase system in HEK293 cells |
year 0, year 1, year 2 and year 3
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
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Cumulative incidence of clinical events of interest, i.e. infectious events, autoimmune diseases or cancers
大体时间:Year 0, year 1, year 2 and year 3
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Method: annual medical visits, SNDS (PMSI, DCIR). Incidence density rate is defined as the number of newly disease individuals on the sum of time periods for all disease-free individual-at-risk |
Year 0, year 1, year 2 and year 3
|
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Clinical and biological factors associated with clinical outcomes
大体时间:Year 0, year 1, year 2 and year 3
|
the potential predictor variables will be assessed by bivariate logistic regressions where occurrence of clinical events is the variable to be explained. Factors associated with a p-value less than 0.20 will be included in the multivariate logistic model. Backward selection on pvalue will be applied. Internal validity of the final model will be estimated by cross-validation (Leave-One-Out Cross-Validation method). Discrimination will be assessed by the area under the ROC curve and its 95% confidence interval. |
Year 0, year 1, year 2 and year 3
|
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Cumulative incidence of the same clinical events of interest, in control participants who are negative for auto-Abs, matched by age and sex followed through the large CONSTANCES cohort
大体时间:Year 0, year 1, year 2 and year 3
|
Cumulative incidence of the same clinical events of interest, in control participants who are negative for auto-Abs, matched by age and sex followed through the large CONSTANCES cohort (Constances database), and its 95% confidence interval: Incidence density rate is defined as the number of newly disease individuals on the sum of time periods for all disease-free individual-at-risk. |
Year 0, year 1, year 2 and year 3
|
|
Genetic factors associated with the development of auto-Abs against type I IFNs
大体时间:Year 0, year 1, year 2 and year 3
|
searching for homozygous deletions using in-house HMZDelFinder-opt method of imagine institue |
Year 0, year 1, year 2 and year 3
|
|
Genetic factors associated with the development of auto-Abs against type I IFNs
大体时间:year 0, year 1, year 2 and year 3
|
Searching for rare candidate coding variants in patients by following an optimal filtering strategy that imagine have optimized over the last 10 years based on multiple variant-level and gene-level criteria to select the candidate variants |
year 0, year 1, year 2 and year 3
|
|
Genetic factors associated with the development of auto-Abs against type I IFNs
大体时间:year 0, year 1, year 2 and year 3
|
Using gene-level criteria to select candidate variants such as the negative selection level measured by the CoNeS approach. |
year 0, year 1, year 2 and year 3
|
合作者和调查者
出版物和有用的链接
一般刊物
- Bastard P, Rosen LB, Zhang Q, Michailidis E, Hoffmann HH, Zhang Y, Dorgham K, Philippot Q, Rosain J, Beziat V, Manry J, Shaw E, Haljasmagi L, Peterson P, Lorenzo L, Bizien L, Trouillet-Assant S, Dobbs K, de Jesus AA, Belot A, Kallaste A, Catherinot E, Tandjaoui-Lambiotte Y, Le Pen J, Kerner G, Bigio B, Seeleuthner Y, Yang R, Bolze A, Spaan AN, Delmonte OM, Abers MS, Aiuti A, Casari G, Lampasona V, Piemonti L, Ciceri F, Bilguvar K, Lifton RP, Vasse M, Smadja DM, Migaud M, Hadjadj J, Terrier B, Duffy D, Quintana-Murci L, van de Beek D, Roussel L, Vinh DC, Tangye SG, Haerynck F, Dalmau D, Martinez-Picado J, Brodin P, Nussenzweig MC, Boisson-Dupuis S, Rodriguez-Gallego C, Vogt G, Mogensen TH, Oler AJ, Gu J, Burbelo PD, Cohen JI, Biondi A, Bettini LR, D'Angio M, Bonfanti P, Rossignol P, Mayaux J, Rieux-Laucat F, Husebye ES, Fusco F, Ursini MV, Imberti L, Sottini A, Paghera S, Quiros-Roldan E, Rossi C, Castagnoli R, Montagna D, Licari A, Marseglia GL, Duval X, Ghosn J; HGID Lab; NIAID-USUHS Immune Response to COVID Group; COVID Clinicians; COVID-STORM Clinicians; Imagine COVID Group; French COVID Cohort Study Group; Milieu Interieur Consortium; CoV-Contact Cohort; Amsterdam UMC Covid-19 Biobank; COVID Human Genetic Effort; Tsang JS, Goldbach-Mansky R, Kisand K, Lionakis MS, Puel A, Zhang SY, Holland SM, Gorochov G, Jouanguy E, Rice CM, Cobat A, Notarangelo LD, Abel L, Su HC, Casanova JL. Autoantibodies against type I IFNs in patients with life-threatening COVID-19. Science. 2020 Oct 23;370(6515):eabd4585. doi: 10.1126/science.abd4585. Epub 2020 Sep 24.
- Bastard P, Gervais A, Le Voyer T, Rosain J, Philippot Q, Manry J, Michailidis E, Hoffmann HH, Eto S, Garcia-Prat M, Bizien L, Parra-Martinez A, Yang R, Haljasmagi L, Migaud M, Sarekannu K, Maslovskaja J, de Prost N, Tandjaoui-Lambiotte Y, Luyt CE, Amador-Borrero B, Gaudet A, Poissy J, Morel P, Richard P, Cognasse F, Troya J, Trouillet-Assant S, Belot A, Saker K, Garcon P, Riviere JG, Lagier JC, Gentile S, Rosen LB, Shaw E, Morio T, Tanaka J, Dalmau D, Tharaux PL, Sene D, Stepanian A, Megarbane B, Triantafyllia V, Fekkar A, Heath JR, Franco JL, Anaya JM, Sole-Violan J, Imberti L, Biondi A, Bonfanti P, Castagnoli R, Delmonte OM, Zhang Y, Snow AL, Holland SM, Biggs C, Moncada-Velez M, Arias AA, Lorenzo L, Boucherit S, Coulibaly B, Anglicheau D, Planas AM, Haerynck F, Duvlis S, Nussbaum RL, Ozcelik T, Keles S, Bousfiha AA, El Bakkouri J, Ramirez-Santana C, Paul S, Pan-Hammarstrom Q, Hammarstrom L, Dupont A, Kurolap A, Metz CN, Aiuti A, Casari G, Lampasona V, Ciceri F, Barreiros LA, Dominguez-Garrido E, Vidigal M, Zatz M, van de Beek D, Sahanic S, Tancevski I, Stepanovskyy Y, Boyarchuk O, Nukui Y, Tsumura M, Vidaur L, Tangye SG, Burrel S, Duffy D, Quintana-Murci L, Klocperk A, Kann NY, Shcherbina A, Lau YL, Leung D, Coulongeat M, Marlet J, Koning R, Reyes LF, Chauvineau-Grenier A, Venet F, Monneret G, Nussenzweig MC, Arrestier R, Boudhabhay I, Baris-Feldman H, Hagin D, Wauters J, Meyts I, Dyer AH, Kennelly SP, Bourke NM, Halwani R, Sharif-Askari NS, Dorgham K, Sallette J, Sedkaoui SM, AlKhater S, Rigo-Bonnin R, Morandeira F, Roussel L, Vinh DC, Ostrowski SR, Condino-Neto A, Prando C, Bonradenko A, Spaan AN, Gilardin L, Fellay J, Lyonnet S, Bilguvar K, Lifton RP, Mane S; HGID Lab; COVID Clinicians; COVID-STORM Clinicians; NIAID Immune Response to COVID Group; NH-COVAIR Study Group; Danish CHGE; Danish Blood Donor Study; St. James's Hospital; SARS CoV2 Interest group; French COVID Cohort Study Group; Imagine COVID-Group; Milieu Interieur Consortium; CoV-Contact Cohort; Amsterdam UMC Covid-19; Biobank Investigators; COVID Human Genetic Effort; CONSTANCES cohort; 3C-Dijon Study; Cerba Health-Care; Etablissement du Sang study group; Anderson MS, Boisson B, Beziat V, Zhang SY, Vandreakos E, Hermine O, Pujol A, Peterson P, Mogensen TH, Rowen L, Mond J, Debette S, de Lamballerie X, Duval X, Mentre F, Zins M, Soler-Palacin P, Colobran R, Gorochov G, Solanich X, Susen S, Martinez-Picado J, Raoult D, Vasse M, Gregersen PK, Piemonti L, Rodriguez-Gallego C, Notarangelo LD, Su HC, Kisand K, Okada S, Puel A, Jouanguy E, Rice CM, Tiberghien P, Zhang Q, Cobat A, Abel L, Casanova JL. Autoantibodies neutralizing type I IFNs are present in ~4% of uninfected individuals over 70 years old and account for ~20% of COVID-19 deaths. Sci Immunol. 2021 Aug 19;6(62):eabl4340. doi: 10.1126/sciimmunol.abl4340.
- Zhang Q, Bastard P, Liu Z, Le Pen J, Moncada-Velez M, Chen J, Ogishi M, Sabli IKD, Hodeib S, Korol C, Rosain J, Bilguvar K, Ye J, Bolze A, Bigio B, Yang R, Arias AA, Zhou Q, Zhang Y, Onodi F, Korniotis S, Karpf L, Philippot Q, Chbihi M, Bonnet-Madin L, Dorgham K, Smith N, Schneider WM, Razooky BS, Hoffmann HH, Michailidis E, Moens L, Han JE, Lorenzo L, Bizien L, Meade P, Neehus AL, Ugurbil AC, Corneau A, Kerner G, Zhang P, Rapaport F, Seeleuthner Y, Manry J, Masson C, Schmitt Y, Schluter A, Le Voyer T, Khan T, Li J, Fellay J, Roussel L, Shahrooei M, Alosaimi MF, Mansouri D, Al-Saud H, Al-Mulla F, Almourfi F, Al-Muhsen SZ, Alsohime F, Al Turki S, Hasanato R, van de Beek D, Biondi A, Bettini LR, D'Angio' M, Bonfanti P, Imberti L, Sottini A, Paghera S, Quiros-Roldan E, Rossi C, Oler AJ, Tompkins MF, Alba C, Vandernoot I, Goffard JC, Smits G, Migeotte I, Haerynck F, Soler-Palacin P, Martin-Nalda A, Colobran R, Morange PE, Keles S, Colkesen F, Ozcelik T, Yasar KK, Senoglu S, Karabela SN, Rodriguez-Gallego C, Novelli G, Hraiech S, Tandjaoui-Lambiotte Y, Duval X, Laouenan C; COVID-STORM Clinicians; COVID Clinicians; Imagine COVID Group; French COVID Cohort Study Group; CoV-Contact Cohort; Amsterdam UMC Covid-19 Biobank; COVID Human Genetic Effort; NIAID-USUHS/TAGC COVID Immunity Group; Snow AL, Dalgard CL, Milner JD, Vinh DC, Mogensen TH, Marr N, Spaan AN, Boisson B, Boisson-Dupuis S, Bustamante J, Puel A, Ciancanelli MJ, Meyts I, Maniatis T, Soumelis V, Amara A, Nussenzweig M, Garcia-Sastre A, Krammer F, Pujol A, Duffy D, Lifton RP, Zhang SY, Gorochov G, Beziat V, Jouanguy E, Sancho-Shimizu V, Rice CM, Abel L, Notarangelo LD, Cobat A, Su HC, Casanova JL. Inborn errors of type I IFN immunity in patients with life-threatening COVID-19. Science. 2020 Oct 23;370(6515):eabd4570. doi: 10.1126/science.abd4570. Epub 2020 Sep 24.
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (估计的)
研究完成 (估计的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
与本研究相关的术语
其他相关的 MeSH 术语
其他研究编号
- C22-73
- 2023-A02663-42 (其他标识符:ANSM ID-RCB)
计划个人参与者数据 (IPD)
计划共享个人参与者数据 (IPD)?
药物和器械信息、研究文件
研究美国 FDA 监管的药品
研究美国 FDA 监管的设备产品
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