Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
West Nile virus (WNV) is a mosquito-borne virus which in majority of cases causes only self-limited disease.
Despite that, in minority of cases (~0.5%) it can infect the brain and cause severe and even life-threatening disease (neuroinvasive disease).
Recent study has shown that up to 40% of WNV patients who develop neuroinvasive disease, have antibodies against Interferons (anti-Type I interferon autoantibodies), which neutralizes interferons, and could explain the development of severe disease.
The investigators therefore assume that early treatment with interferon beta (the type of interferon against which most patients do not have neutralizing antibodies) could prevent the development of severe neuroinvasive WNV disease.
Scientific Background:
West Nile virus (WNV) is a mosquito-borne neurotropic flavivirus that can infect humans and cause life-threatening disease. In recent years, WNV infections have been reported in at least 60 countries across all continents, and is now a leading cause of mosquito-borne disease globally. While most infected individuals remain asymptomatic, around 20% develop a self-limited febrile illness, and less than 1% require hospitalization for neuro-invasive disease. These infrequent, yet severe, neurologic presentations can include encephalitis (50-70%), meningitis (15-35%), and acute flaccid paralysis (3-20%), which can result in a mortality of about 5-20%.
Epidemiologically, age is the strongest known predictor of neuroinvasive disease and death, and the risk of severe disease, particularly neuroinvasive disease, is about 16 times higher in those over the age of 65, and the risk of death is about 30-45 times higher in those over the age of 70.
One possible explanation for the higher risk of older patients to develop more severe disease, is the role of Type I interferons (IFNs) in mediating anti-WNV immunity. In-vitro studies using human cell lines and in-vivo murine models have shown that type-I IFNs can inhibit WNV replication in human cells and protect mice against lethal WNV infection. Even more compelling evidence for the role of type I IFNs in mediating anti-WNV immunity, is a case description of two WNV patients suffering neuroinvasive disease, who improved rapidly after initiation of IFNa treatment.
Accordingly, a recent study has identified very high prevalence of neutralizing anti-Type I IFN autoantibodies in patients with severe WNV neuroinvasive disease. Evaluating nearly 450 patients' samples, anti-Type I IFNs autoantibodies were identified in ~35% of WNV admitted patients and in 40% of those with neuroinvasive disease, including 31% of encephalitis cases, 46% of meningitis cases and 52% of cases of unspecified neurological syndrome. This is in comparison with a prevalence of only 3% in asymptomatic / mild WNV cases.
Of note, the prevalence of neutralizing anti-Type I IFNs auto-antibodies was much higher in patients age 65 and older (45% vs 19%), and to a lesser extent in male patients. In addition, the presence of auto-antibodies neutralizing high concentration of Type-I IFNs (mostly IFNa2) was associated with >100 fold-increase in the risk of neuroinvasive WNV disease, independent of age. These finding suggest that the presence of neutralizing anti-Type I IFN autoantibodies play a role in the development of severe and neuro-invasive WNV disease, and may explain higher risk of severe disease in older individuals.
Regarding the specificity of the anti-Type I IFN autoantibodies; most auto-antibodies were able to neutralize high concentration and super-physiologic concentrations of IFNa2 and /or IFNw(10ng/mL). As for IFNb, no patient had autoantibodies against IFNb only, and only 11% of those having neutralizing antibodies against IFNa2 and/or IFNw also tested positive for neutralizing anti-IFNb autoantibodies, suggesting that IFNb could be potentially used in most patients with WNV disease.
High prevalence of neutralizing anti-Type I IFNs were also identified if patients with severe COVID-19, critical influenza pneumonia and severe adverse reaction to live yellow-fever vaccine.
Based on these finding, a large clinical study showed significant benefit with early administration of a single injection of the Type III IFN, IFN-lambda, in reducing the risk for the development of severe COVID-19 by 50%.
In a similar way, a case report described the use of IFNb in a patient with early COVID-19. The patient, a carrier of an immunodeficiency causing gene, was known to have high concentration of neutralizing anti-Type I IFN auto-antibodies against IFNa and IFNw but no anti-IFNb autoantibodies. A previous patient, carrier of the same immunodeficiency gene, suffered life-threatening COVID-19 pneumonia and displayed neutralizing autoantibodies against type I IFNs.
In an attempt to prevent severe COVID-19, the second patient was treated with 3 doses of IFNb, with rapid resolution of her symptoms.
Taken together, these data suggest the following:
For these reasons, the investigators aim to study the protective effect of early IFNb treatment in patients diagnosed with WNV disease.
The rational for using IFNβ is based on the following:
Objectives:
Primary objective: To investigate the clinical effects of IFNb1a treatment in patients with a confirmed WNV disease.
Secondary objective: To investigate the prevalence of anti-type-I-IFN autoantibodies in patients with WNV, and their association with clinical outcome of patients with WNV disease.
Research design and methods:
This is a clinical, prospective, double-blinded placebo control trial.
Research process:
Demographics and clinical data will be collected from Chameleon medical record, and will be stored coded on local (TASMC) computers, in a password-protected folder. Folder pathway: W:\West Nile.
No data will be transferred to outside sources.
Randomization process:
Patients will be randomly assigned to each of the two arms with a 1:1 allocation ratio, using randomly selected signed enveloped, considering clinical presentation and neurologic manifestations. For this purpose, stratified block randomization will be implemented, based on the 3 possible strata generated from the two binary variables (presence or absence of neurologic symptoms; in case of neurologic symptoms, presence or absence of flaccid paralysis). A randomization code will be given and maintained for the duration of the study. A planned breaking of randomization codes will be performed and reviewed by an independent Data and Safety Monitoring Board as explained below. There will be no planned breaking by the blinded researchers . Unplanned breaking of codes to team or patient would lead to exclusion of the patient from the analysis.
The study drug and placebo will be prepared in the clinical research unit, at the pharmacy of the Tel-Aviv Sourasky Medical Center, by a certified pharmacist, in accordance with procedure #135 of the Pharmaceutics Division (Ministry of Health).
The study drug / placebo will be labeled with the following: study title; protocol number; name of PI; name of study drug / placebo (both); randomization number; date and time of preparation;
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Active Treatment | Experimental | Patients enrolled to participate in the Active Treatment arm will receive 3 subcutaneous injections of 44mcg Interferon b-1a (Rebif), given 48h hours apart. |
|
| Placebo | Placebo Comparator | Patients enrolled to participate in the placebo arm will receive 3 subcutaneous injections of normal saline, given 48h hours apart. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Rebif 44 MCG Per 0.5 ML Prefilled Syringe | Drug | Rebif 44mcg per 0.5ml administered subcutaneously |
|
| Measure | Description | Time Frame |
|---|---|---|
| Rates of death or intubation | Death or intubation within 4 weeks | 4 weeks |
| Modified Rankin Scale (mRS) score | Comparison of modified Rankin Scale (mRS) score at 3 and 6 months. The mRS score is a 7 point (0-6) disability scale with higher score suggesting higher level of disability. | 3 and 6 months |
| Measure | Description | Time Frame |
|---|---|---|
| ICU admission | Rates of ICU admission | 4 weeks |
| Mechanical ventilation | Rates of mechanical ventilation | 4 weeks |
Not provided
Diagnosis of WNV infection will be based on the following:
Patients with clinical presentation suspected as compatible with WNV infection, with symptoms including elevated fever, headache or flaccid paralysis or fever with encephalopathy.
And:
Positive anti-WNV IgM serology / WNV PCR from either serum, urine or CSF.
Inclusion criteria:
We aim to focus on three patients' populations:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| David Hagin, MD PhD | Contact | 972524792296 | Davidha@tlvmc.gov.il | |
| Dania Dror, B.Nutr; MPH | Contact | 97236974679 | Daniad@tlvmc.gov.il |
Not provided
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tel-Aviv Sourasky Medical Center | Recruiting | Tel Aviv | 6423906 | Israel |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37347462 | Background | Gervais A, Rovida F, Avanzini MA, Croce S, Marchal A, Lin SC, Ferrari A, Thorball CW, Constant O, Le Voyer T, Philippot Q, Rosain J, Angelini M, Perez Lorenzo M, Bizien L, Achille C, Trespidi F, Burdino E, Cassaniti I, Lilleri D, Fornara C, Sammartino JC, Cereda D, Marrocu C, Piralla A, Valsecchi C, Ricagno S, Cogo P, Neth O, Marin-Cruz I, Pacenti M, Sinigaglia A, Trevisan M, Volpe A, Marzollo A, Conti F, Lazzarotto T, Pession A, Viale P, Fellay J, Ghirardello S, Aubart M, Ghisetti V, Aiuti A, Jouanguy E, Bastard P, Percivalle E, Baldanti F, Puel A, MacDonald MR, Rice CM, Rossini G, Murray KO, Simonin Y, Nagy A, Barzon L, Abel L, Diamond MS, Cobat A, Zhang SY, Casanova JL, Borghesi A. Autoantibodies neutralizing type I IFNs underlie West Nile virus encephalitis in approximately 40% of patients. J Exp Med. 2023 Sep 4;220(9):e20230661. doi: 10.1084/jem.20230661. Epub 2023 Jun 22. | |
| 21478870 |
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D014901 | West Nile Fever |
| D004660 | Encephalitis |
| ID | Term |
|---|---|
| D004671 | Encephalitis, Arbovirus |
| D018792 | Encephalitis, Viral |
| D020805 | Central Nervous System Viral Diseases |
| D002494 | Central Nervous System Infections |
Not provided
Not provided
| ID | Term |
|---|---|
| D000068556 | Interferon beta-1a |
| D012965 | Sodium Chloride |
| ID | Term |
|---|---|
| D016899 | Interferon-beta |
| D007370 | Interferon Type I |
| D007372 | Interferons |
| D016207 | Cytokines |
Not provided
Not provided
Patients at high risk for the development of neuroinvasive WNV disease (age 70 and older or immunocompromised patients) or patients presenting with neurologic symptoms of encephalomyelitis will be randomized to receive the study drug or placebo.
Not provided
Not provided
Not provided
| Saline | Drug | 0.5mL of saline administered subcutaneously |
|
| Modified-NIH-stroke-scale (mNIHSS) | Change in modified-NIH-stroke-scale (mNIHSS) from baseline to 3 months. The scoring range is 0 to 42 points, with higher numbers indicating greater severity. | 3 months |
| Mini-mental state examination (MMSE) | Change in mini-mental state examination (MMSE) from baseline to 3 months. The MMSE has a range score of 0-30. A higher score suggests better performance. Any score of 24 or more (out of 30) indicates a normal cognition. Below this, scores can indicate severe (≤9 points), moderate (10-18 points) or mild (19-23 points) cognitive impairment. | 3 months |
| All cause mortality | All-cause mortality at 4 weeks, 3 months, 6 months and 12 months | 12 months |
| Background |
| Schoggins JW, Wilson SJ, Panis M, Murphy MY, Jones CT, Bieniasz P, Rice CM. A diverse range of gene products are effectors of the type I interferon antiviral response. Nature. 2011 Apr 28;472(7344):481-5. doi: 10.1038/nature09907. Epub 2011 Apr 10. |
| 16227257 | Background | Samuel MA, Diamond MS. Alpha/beta interferon protects against lethal West Nile virus infection by restricting cellular tropism and enhancing neuronal survival. J Virol. 2005 Nov;79(21):13350-61. doi: 10.1128/JVI.79.21.13350-13361.2005. |
| 32972996 | Background | 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. |
| 34413139 | Background | 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. |
| 36112363 | Background | Zhang Q, Pizzorno A, Miorin L, Bastard P, Gervais A, Le Voyer T, Bizien L, Manry J, Rosain J, Philippot Q, Goavec K, Padey B, Cupic A, Laurent E, Saker K, Vanker M, Sarekannu K; COVID Human Genetic Effort; Etablissement Francais du Sang Study Group; Constances Cohort; 3C-Dijon Study; Cerba HealthCare Group; Lyon Antigrippe Working Group; REIPI INF Working Group; Garcia-Salum T, Ferres M, Le Corre N, Sanchez-Cespedes J, Balsera-Manzanero M, Carratala J, Retamar-Gentil P, Abelenda-Alonso G, Valiente A, Tiberghien P, Zins M, Debette S, Meyts I, Haerynck F, Castagnoli R, Notarangelo LD, Gonzalez-Granado LI, Dominguez-Pinilla N, Andreakos E, Triantafyllia V, Rodriguez-Gallego C, Sole-Violan J, Ruiz-Hernandez JJ, Rodriguez de Castro F, Ferreres J, Briones M, Wauters J, Vanderbeke L, Feys S, Kuo CY, Lei WT, Ku CL, Tal G, Etzioni A, Hanna S, Fournet T, Casalegno JS, Queromes G, Argaud L, Javouhey E, Rosa-Calatrava M, Cordero E, Aydillo T, Medina RA, Kisand K, Puel A, Jouanguy E, Abel L, Cobat A, Trouillet-Assant S, Garcia-Sastre A, Casanova JL. Autoantibodies against type I IFNs in patients with critical influenza pneumonia. J Exp Med. 2022 Nov 7;219(11):e20220514. doi: 10.1084/jem.20220514. Epub 2022 Sep 16. |
| 33544838 | Background | Bastard P, Michailidis E, Hoffmann HH, Chbihi M, Le Voyer T, Rosain J, Philippot Q, Seeleuthner Y, Gervais A, Materna M, de Oliveira PMN, Maia MLS, Dinis Ano Bom AP, Azamor T, Araujo da Conceicao D, Goudouris E, Homma A, Slesak G, Schafer J, Pulendran B, Miller JD, Huits R, Yang R, Rosen LB, Bizien L, Lorenzo L, Chrabieh M, Erazo LV, Rozenberg F, Jeljeli MM, Beziat V, Holland SM, Cobat A, Notarangelo LD, Su HC, Ahmed R, Puel A, Zhang SY, Abel L, Seligman SJ, Zhang Q, MacDonald MR, Jouanguy E, Rice CM, Casanova JL. Auto-antibodies to type I IFNs can underlie adverse reactions to yellow fever live attenuated vaccine. J Exp Med. 2021 Apr 5;218(4):e20202486. doi: 10.1084/jem.20202486. |
| 23872679 | Background | de Weerd NA, Vivian JP, Nguyen TK, Mangan NE, Gould JA, Braniff SJ, Zaker-Tabrizi L, Fung KY, Forster SC, Beddoe T, Reid HH, Rossjohn J, Hertzog PJ. Structural basis of a unique interferon-beta signaling axis mediated via the receptor IFNAR1. Nat Immunol. 2013 Sep;14(9):901-7. doi: 10.1038/ni.2667. Epub 2013 Jul 21. |
| 15714427 | Result | Kalil AC, Devetten MP, Singh S, Lesiak B, Poage DP, Bargenquast K, Fayad P, Freifeld AG. Use of interferon-alpha in patients with West Nile encephalitis: report of 2 cases. Clin Infect Dis. 2005 Mar 1;40(5):764-6. doi: 10.1086/427945. Epub 2005 Feb 7. |
| 36780676 | Result | Reis G, Moreira Silva EAS, Medeiros Silva DC, Thabane L, Campos VHS, Ferreira TS, Santos CVQ, Nogueira AMR, Almeida APFG, Savassi LCM, Figueiredo-Neto AD, Dias ACF, Freire Junior AM, Bitaraes C, Milagres AC, Callegari ED, Simplicio MIC, Ribeiro LB, Oliveira R, Harari O, Wilson LA, Forrest JI, Ruton H, Sprague S, McKay P, Guo CM, Limbrick-Oldfield EH, Kanters S, Guyatt GH, Rayner CR, Kandel C, Biondi MJ, Kozak R, Hansen B, Zahoor MA, Arora P, Hislop C, Choong I, Feld JJ, Mills EJ, Glenn JS; TOGETHER Investigators. Early Treatment with Pegylated Interferon Lambda for Covid-19. N Engl J Med. 2023 Feb 9;388(6):518-528. doi: 10.1056/NEJMoa2209760. |
| 33763778 | Result | Bastard P, Levy R, Henriquez S, Bodemer C, Szwebel TA, Casanova JL. Interferon-beta Therapy in a Patient with Incontinentia Pigmenti and Autoantibodies against Type I IFNs Infected with SARS-CoV-2. J Clin Immunol. 2021 Jul;41(5):931-933. doi: 10.1007/s10875-021-01023-5. Epub 2021 Mar 25. No abstract available. |
| D007239 | Infections |
| D000069544 | Infectious Encephalitis |
| D001102 | Arbovirus Infections |
| D000079426 | Vector Borne Diseases |
| D000096724 | Mosquito-Borne Diseases |
| D014777 | Virus Diseases |
| D012327 | RNA Virus Infections |
| D018177 | Flavivirus Infections |
| D018178 | Flaviviridae Infections |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D000090862 | Neuroinflammatory Diseases |
| D036341 |
| Intercellular Signaling Peptides and Proteins |
| D010455 | Peptides |
| D000602 | Amino Acids, Peptides, and Proteins |
| D011506 | Proteins |
| D001685 | Biological Factors |
| D002712 | Chlorides |
| D006851 | Hydrochloric Acid |
| D017606 | Chlorine Compounds |
| D007287 | Inorganic Chemicals |
| D017670 | Sodium Compounds |