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3. X-linked recessive TLR7 deficiency in similar to 1% of men under 60 years old with life-threatening COVID-19

Author

Asano T, Boisson B, Onodi F, Matuozzo D, Moncada-Velez M, Renkilaraj M, Zhang P, Meertens L, Bolze A, Materna M, Korniotis S, Gervais A, Talouarn E, Bigio B, Seeleuthner Y, Bilguvar K, Zhang Y, Neehus A, Ogishi M, Pelham S, Le Voyer T, Rosain J, Philippot Q, Soler-Palacin P, Colobran R, Martin-Nalda A, Riviere J, Tandjaoui-Lambiotte Y, Chaibi K, Shahrooei M, Darazam I, Olyaei N, Mansouri D, Palabiyik F, Ozcelik T, Novelli G, Novelli A, Casari G, Aiuti A, Carrera P, Bondesan S, Barzaghi F, Rovere-Querini P, Tresoldi C, Franco J, Rojas J, Reyes L, Bustos I, Arias A, Morelle G, Kyheng C, Troya J, Planas-Serra L, Schluter A, Gut M, Pujol A, Allende L, Rodriguez-Gallego C, Flores C, Cabrera-Marante O, Pleguezuelo D, de Diego R, Keles S, Aytekin G, Akcan O, Bryceson Y, Bergman P, Brodin P, Smole D, Smith C, Norlin A, Campbell T, Covill L, Hammarstrom L, Pan-Hammarstrom Q, Abolhassani H, Mane S, Marr N, Ata M, Al Ali F, Khan T, Spaan A, Dalgard C, Bonfanti P, Biondi A, Tubiana S, Burdet C, Nussbaum R, Kahn-Kirby A, Snow A, Bustamante J, Puel A, Boisson-Dupuis S, Zhang S, Beziat V, Lifton R, Bastard P, Notarangelo L, Abel L, Su H, Jouanguy E, Amara A, Soumelis V, Cobat A, Zhang Q, Casanova J, COVID Human Genetic Efft, COVID-STORM Cliniciano, COVID Clinicians, Imagine COVID Grp, French COVID Cohort Study Grp, Cov-Contact Cohort, Amsterdam UMC Covid-19 Biobank, and NIAID-USUHS Covid Study Grp

Subjects
virus diseases
Abstract

Autosomal inborn errors of type I IFN immunity and autoantibodies against these cytokines underlie at least 10% of critical COVID-19 pneumonia cases. We report very rare, biochemically deleterious X-linked TLR7 variants in 16 unrelated male individuals aged 7 to 71 years (mean, 36.7 years) from a cohort of 1202 male patients aged 0.5 to 99 years (mean, 52.9 years) with unexplained critical COVID-19 pneumonia. None of the 331 asymptomatically or mildly infected male individuals aged 1.3 to 102 years (mean, 38.7 years) tested carry such TLR7 variants (P = 3.5 x 10(-5)). The phenotypes of five hemizygous relatives of index cases infected with SARS-CoV-2 include asymptomatic or mild infection (n = 2) or moderate (n = 1), severe (n = 1), or critical (n = 1) pneumonia. Two patients from a cohort of 262 male patients with severe COVID-19 pneumonia (mean, 51.0 years) are hemizygous for a deleterious TLR7 variant. The cumulative allele frequency for deleterious TLR7 variants in the male general population is

Published
2021

4. X-linked recessive TLR7 deficiency in ~1% of men under 60 years old with life-threatening COVID-19

Author

Asano, T, Boisson, B, Onodi, F, Matuozzo, D, Moncada-Velez, M, Maglorius Renkilaraj, M, Zhang, P, Meertens, L, Bolze, A, Materna, M, Korniotis, S, Gervais, A, Talouarn, E, Bigio, B, Seeleuthner, Y, Bilguvar, K, Zhang, Y, Neehus, A, Ogishi, M, Pelham, S, Le Voyer, T, Rosain, J, Philippot, Q, Soler-Palacín, P, Colobran, R, Martin-Nalda, A, Rivière, J, Tandjaoui-Lambiotte, Y, Chaïbi, K, Shahrooei, M, Darazam, I, Olyaei, N, Mansouri, D, Hatipoğlu, N, Palabiyik, F, Ozcelik, T, Novelli, G, Novelli, A, Casari, G, Aiuti, A, Carrera, P, Bondesan, S, Barzaghi, F, Rovere-Querini, P, Tresoldi, C, Franco, J, Rojas, J, Reyes, L, Bustos, I, Arias, A, Morelle, G, Christèle, K, Troya, J, Planas-Serra, L, Schlüter, A, Gut, M, Pujol, A, Allende, L, Rodriguez-Gallego, C, Flores, C, Cabrera-Marante, O, Pleguezuelo, D, de Diego, R, Keles, S, Aytekin, G, Akcan, O, Bryceson, Y, Bergman, P, Brodin, P, Smole, D, Smith, C, Norlin, A, Campbell, T, Covill, L, Hammarström, L, Pan-Hammarström, Q, Abolhassani, H, Mane, S, Marr, N, Ata, M, Al Ali, F, Khan, T, Spaan, A, Dalgard, C, Bonfanti, P, Biondi, A, Tubiana, S, Burdet, C, Nussbaum, R, Kahn-Kirby, A, Snow, A, Bustamante, J, Puel, A, Boisson-Dupuis, S, Zhang, S, Béziat, V, Lifton, R, Bastard, P, Notarangelo, L, Abel, L, Su, H, Jouanguy, E, Amara, A, Soumelis, V, Cobat, A, Zhang, Q, Casanova, J, Asano, Takaki, Boisson, Bertrand, Onodi, Fanny, Matuozzo, Daniela, Moncada-Velez, Marcela, Maglorius Renkilaraj, Majistor Raj Luxman, Zhang, Peng, Meertens, Laurent, Bolze, Alexandre, Materna, Marie, Korniotis, Sarantis, Gervais, Adrian, Talouarn, Estelle, Bigio, Benedetta, Seeleuthner, Yoann, Bilguvar, Kaya, Zhang, Yu, Neehus, Anna-Lena, Ogishi, Masato, Pelham, Simon J., Le Voyer, Tom, Rosain, Jérémie, Philippot, Quentin, Soler-Palacín, Pere, Colobran, Roger, Martin-Nalda, Andrea, Rivière, Jacques G., Tandjaoui-Lambiotte, Yacine, Chaïbi, Khalil, Shahrooei, Mohammad, Darazam, Ilad Alavi, Olyaei, Nasrin Alipour, Mansouri, Davood, Hatipoğlu, Nevin, Palabiyik, Figen, Ozcelik, Tayfun, Novelli, Giuseppe, Novelli, Antonio, Casari, Giorgio, Aiuti, Alessandro, Carrera, Paola, Bondesan, Simone, Barzaghi, Federica, Rovere-Querini, Patrizia, Tresoldi, Cristina, Franco, Jose Luis, Rojas, Julian, Reyes, Luis Felipe, Bustos, Ingrid G., Arias, Andres Augusto, Morelle, Guillaume, Christèle, Kyheng, Troya, Jesús, Planas-Serra, Laura, Schlüter, Agatha, Gut, Marta, Pujol, Aurora, Allende, Luis M., Rodriguez-Gallego, Carlos, Flores, Carlos, Cabrera-Marante, Oscar, Pleguezuelo, Daniel E., de Diego, Rebeca Pérez, Keles, Sevgi, Aytekin, Gokhan, Akcan, Ozge Metin, Bryceson, Yenan T., Bergman, Peter, Brodin, Petter, Smole, Daniel, Smith, C. I. Edvard, Norlin, Anna-Carin, Campbell, Tessa M., Covill, Laura E., Hammarström, Lennart, Pan-Hammarström, Qiang, Abolhassani, Hassan, Mane, Shrikant, Marr, Nico, Ata, Manar, Al Ali, Fatima, Khan, Taushif, Spaan, András N., Dalgard, Clifton L., Bonfanti, Paolo, Biondi, Andrea, Tubiana, Sarah, Burdet, Charles, Nussbaum, Robert, Kahn-Kirby, Amanda, Snow, Andrew L., Bustamante, Jacinta, Puel, Anne, Boisson-Dupuis, Stéphanie, Zhang, Shen-Ying, Béziat, Vivien, Lifton, Richard P., Bastard, Paul, Notarangelo, Luigi D., Abel, Laurent, Su, Helen C., Jouanguy, Emmanuelle, Amara, Ali, Soumelis, Vassili, Cobat, Aurélie, Zhang, Qian, Casanova, Jean-Laurent, Asano, T, Boisson, B, Onodi, F, Matuozzo, D, Moncada-Velez, M, Maglorius Renkilaraj, M, Zhang, P, Meertens, L, Bolze, A, Materna, M, Korniotis, S, Gervais, A, Talouarn, E, Bigio, B, Seeleuthner, Y, Bilguvar, K, Zhang, Y, Neehus, A, Ogishi, M, Pelham, S, Le Voyer, T, Rosain, J, Philippot, Q, Soler-Palacín, P, Colobran, R, Martin-Nalda, A, Rivière, J, Tandjaoui-Lambiotte, Y, Chaïbi, K, Shahrooei, M, Darazam, I, Olyaei, N, Mansouri, D, Hatipoğlu, N, Palabiyik, F, Ozcelik, T, Novelli, G, Novelli, A, Casari, G, Aiuti, A, Carrera, P, Bondesan, S, Barzaghi, F, Rovere-Querini, P, Tresoldi, C, Franco, J, Rojas, J, Reyes, L, Bustos, I, Arias, A, Morelle, G, Christèle, K, Troya, J, Planas-Serra, L, Schlüter, A, Gut, M, Pujol, A, Allende, L, Rodriguez-Gallego, C, Flores, C, Cabrera-Marante, O, Pleguezuelo, D, de Diego, R, Keles, S, Aytekin, G, Akcan, O, Bryceson, Y, Bergman, P, Brodin, P, Smole, D, Smith, C, Norlin, A, Campbell, T, Covill, L, Hammarström, L, Pan-Hammarström, Q, Abolhassani, H, Mane, S, Marr, N, Ata, M, Al Ali, F, Khan, T, Spaan, A, Dalgard, C, Bonfanti, P, Biondi, A, Tubiana, S, Burdet, C, Nussbaum, R, Kahn-Kirby, A, Snow, A, Bustamante, J, Puel, A, Boisson-Dupuis, S, Zhang, S, Béziat, V, Lifton, R, Bastard, P, Notarangelo, L, Abel, L, Su, H, Jouanguy, E, Amara, A, Soumelis, V, Cobat, A, Zhang, Q, Casanova, J, Asano, Takaki, Boisson, Bertrand, Onodi, Fanny, Matuozzo, Daniela, Moncada-Velez, Marcela, Maglorius Renkilaraj, Majistor Raj Luxman, Zhang, Peng, Meertens, Laurent, Bolze, Alexandre, Materna, Marie, Korniotis, Sarantis, Gervais, Adrian, Talouarn, Estelle, Bigio, Benedetta, Seeleuthner, Yoann, Bilguvar, Kaya, Zhang, Yu, Neehus, Anna-Lena, Ogishi, Masato, Pelham, Simon J., Le Voyer, Tom, Rosain, Jérémie, Philippot, Quentin, Soler-Palacín, Pere, Colobran, Roger, Martin-Nalda, Andrea, Rivière, Jacques G., Tandjaoui-Lambiotte, Yacine, Chaïbi, Khalil, Shahrooei, Mohammad, Darazam, Ilad Alavi, Olyaei, Nasrin Alipour, Mansouri, Davood, Hatipoğlu, Nevin, Palabiyik, Figen, Ozcelik, Tayfun, Novelli, Giuseppe, Novelli, Antonio, Casari, Giorgio, Aiuti, Alessandro, Carrera, Paola, Bondesan, Simone, Barzaghi, Federica, Rovere-Querini, Patrizia, Tresoldi, Cristina, Franco, Jose Luis, Rojas, Julian, Reyes, Luis Felipe, Bustos, Ingrid G., Arias, Andres Augusto, Morelle, Guillaume, Christèle, Kyheng, Troya, Jesús, Planas-Serra, Laura, Schlüter, Agatha, Gut, Marta, Pujol, Aurora, Allende, Luis M., Rodriguez-Gallego, Carlos, Flores, Carlos, Cabrera-Marante, Oscar, Pleguezuelo, Daniel E., de Diego, Rebeca Pérez, Keles, Sevgi, Aytekin, Gokhan, Akcan, Ozge Metin, Bryceson, Yenan T., Bergman, Peter, Brodin, Petter, Smole, Daniel, Smith, C. I. Edvard, Norlin, Anna-Carin, Campbell, Tessa M., Covill, Laura E., Hammarström, Lennart, Pan-Hammarström, Qiang, Abolhassani, Hassan, Mane, Shrikant, Marr, Nico, Ata, Manar, Al Ali, Fatima, Khan, Taushif, Spaan, András N., Dalgard, Clifton L., Bonfanti, Paolo, Biondi, Andrea, Tubiana, Sarah, Burdet, Charles, Nussbaum, Robert, Kahn-Kirby, Amanda, Snow, Andrew L., Bustamante, Jacinta, Puel, Anne, Boisson-Dupuis, Stéphanie, Zhang, Shen-Ying, Béziat, Vivien, Lifton, Richard P., Bastard, Paul, Notarangelo, Luigi D., Abel, Laurent, Su, Helen C., Jouanguy, Emmanuelle, Amara, Ali, Soumelis, Vassili, Cobat, Aurélie, Zhang, Qian, and Casanova, Jean-Laurent

Abstract

Autosomal inborn errors of type I IFN immunity and autoantibodies against these cytokines underlie at least 10% of critical COVID-19 pneumonia cases. We report very rare, biochemically deleterious X-linked TLR7 variants in 16 unrelated male individuals aged 7 to 71 years (mean: 36.7 years) from a cohort of 1,202 male patients aged 0.5 to 99 years (mean: 52.9 years) with unexplained critical COVID-19 pneumonia. None of the 331 asymptomatically or mildly infected male individuals aged 1.3 to 102 years (mean: 38.7 years) tested carry such TLR7 variants (p = 3.5 × 10−5). The phenotypes of five hemizygous relatives of index cases infected with SARS-CoV-2 include asymptomatic or mild infection (n=2, 5 and 38 years), or moderate (n=1, 5 years), severe (n=1, 27 years), or critical (n=1, 29 years) pneumonia. Two boys (aged 7 and 12 years) from a cohort of 262 male patients with severe COVID-19 pneumonia (mean: 51.0 years) are hemizygous for a deleterious TLR7 variant. The cumulative allele frequency for deleterious TLR7 variants in the male general population is < 6.5x10−4. We also show that blood B cell lines and myeloid cell subsets from the patients do not respond to TLR7 stimulation, a phenotype rescued by wild-type TLR7. The patients’ blood plasmacytoid dendritic cells (pDCs) produce low levels of type I IFNs in response to SARS-CoV-2. Overall, X-linked recessive TLR7 deficiency is a highly penetrant genetic etiology of critical COVID-19 pneumonia, in about 1.8% of male patients below the age of 60 years. Human TLR7 and pDCs are essential for protective type I IFN immunity against SARS-CoV-2 in the respiratory tract.

Published
2021

7. Tokens and symbols

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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8. Clauses

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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9. Glossaries

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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10. Examples

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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11. Standard environment

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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12. Denotations

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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13. Modes and nests

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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14. Declarations, declarers and indicators

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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15. Units

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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16. The computer and the program

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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17. Introduction

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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18. Language and metalanguage

Author

van Wijngaarden, A., Mailloux, B. J., Peck, J. E. L., Koster, C. H. A., Sintzoff, M., Lindsey, C. H., Meertens, L. G. L. T., Fisker, R. G., van Wijngaarden, A., editor, Mailloux, B. J., editor, Peck, J. E. L., editor, Koster, C. H. A., editor, Sintzoff, M., editor, Lindsey, C. H., editor, Meertens, L. G. L. T., editor, and Fisker, R. G., editor

Published
1976
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22. Leptina sérica, su relación con peso y distribución de grasa corporal en mujeres posmenopáusicas

Author

Barrios, Y., Díaz, N., Meertens, L., Naddaf, G., Solano, L., Fernández, M.ª, Flores, A., and González, M.ª

Subjects
Leptin, WC, BMI, IMC, Leptina, CCi, ICC, Postmenopausal period, Postmenopausia, WHR
Abstract

La leptina es una hormona peptídica secretada por el tejido adiposo, juega un papel importante en la regulación del peso corporal. Después de la menopausia se incrementa la ganancia de peso y la obesidad de tipo androide. Estudios previos sugieren una relación entre concentración de leptina, índice de masa corporal (IMC) y distribución de grasa. Objetivo: Establecer relaciones entre leptina sérica, IMC, circunferencia de cintura (CCi) e índice cintura/cadera (ICC). Metodología: Se evaluaron 48 mujeres menores de 60 años de edad, con amenorrea de un año o más. Se determinó leptina sérica y estradiol (ELISA) vn: 3,63-11,09 ng/mL y 0-65 pg/mL; IMC (OMS), CCi > 88cm e ICC > 0,80 se consideraron riesgo cardiometabólico. Resultados: La edad promedio del grupo fue 54 ± 3,9 años; leptina: 8,4 ± 3,7 ng/ml y estradiol: 17,6 ± 10,0 pg/ml; IMC: 27,0 ± 4,9 kg/m², CCi: 86,2 ± 8,6 cm e ICC: 0,84 ± 0,06. 20% de las mujeres presentaron hiperleptinemia, 58,4% malnutrición por exceso, 35% estaban en situación de riesgo cardiovascular CCi. Los valores más altos de leptina se observaron en las mujeres obesas. No hubo asociación entre niveles séricos de leptina y variables antropométricas. Encontrándose correlación positiva y significativa entre peso, talla, IMC, CCi, circunferencia de cadera (CCa) y estradiol. Conclusiones: Las mujeres posmenopáusicas presentaron una alta prevalencia de sobrepeso/obesidad, distribución de grasa tipo androide y niveles normales de leptina sérica. El grupo evaluado se considera en riesgo para enfermedades cardiometabólicas según indicadores antropométricos. Leptin is a peptidic hormone secreted by the fat tissue and plays an important role in body weight regulation. After menopause, weight gain increases as well as android-like obesity. Previous studies suggest a relationship between leptin level, body mass index (BMI) and fat distribution. Objective: To establish the relationships between serum leptin, BMI, waist circumference (WC), and waist/hip ratio (WHR). Methodology: 48 women under the age of 60 years and with amenorrhea for longer than one year were assessed. Leptin and estradiol (ELISA) levels were determined; normal values: 3.63-11.09 ng/mL and 0-65 pg/Ml. BMI (WHO), WC > 88 cm, and WHR > 0.80 were considered as indicators of cardiometabolic risk. Results: Mean age for the group was 54 ± 3.9 years; leptin: 8.4 ± 3.7 ng/mL, and estradiol: 17.6 ± 10.0 pg/mL; BMI: 27.0 ± 4.9 kg/m²; WC: 86.2 ± 8.6 cm; and WHR: 0.84 ± 0.06. Twenty percent of the women had hyperleptinemia, 58.4% malnourishment due to excessive intake, 35% presented WC cardiovascular risk. The highest leptin value was found in obese women. There was no association between serum leptin levels and anthropometrical variables. There was a significantly positive correlation between weight, height, BMI, WC, hip circumference, and estradiol. Conclusions: Postmenopausal women presented a high prevalence of overweight/obesity, android-like body fat distribution and normal serum leptin levels. The group assessed is considered to be at risk for cardiometabolic diseases according to anthropometrical indicators.

Published
2010

24. Leptina sérica, su relación con peso y distribución de grasa corporal en mujeres posmenopáusicas

Author

Barrios,Y., Díaz,N., Meertens,L., Naddaf,G., Solano,L., Fernández,M.ª, Flores,A., and González,M.ª

Subjects
IMC, Leptina, CCi, ICC, Postmenopausia
Abstract

La leptina es una hormona peptídica secretada por el tejido adiposo, juega un papel importante en la regulación del peso corporal. Después de la menopausia se incrementa la ganancia de peso y la obesidad de tipo androide. Estudios previos sugieren una relación entre concentración de leptina, índice de masa corporal (IMC) y distribución de grasa. Objetivo: Establecer relaciones entre leptina sérica, IMC, circunferencia de cintura (CCi) e índice cintura/cadera (ICC). Metodología: Se evaluaron 48 mujeres menores de 60 años de edad, con amenorrea de un año o más. Se determinó leptina sérica y estradiol (ELISA) vn: 3,63-11,09 ng/mL y 0-65 pg/mL; IMC (OMS), CCi > 88cm e ICC > 0,80 se consideraron riesgo cardiometabólico. Resultados: La edad promedio del grupo fue 54 ± 3,9 años; leptina: 8,4 ± 3,7 ng/ml y estradiol: 17,6 ± 10,0 pg/ml; IMC: 27,0 ± 4,9 kg/m², CCi: 86,2 ± 8,6 cm e ICC: 0,84 ± 0,06. 20% de las mujeres presentaron hiperleptinemia, 58,4% malnutrición por exceso, 35% estaban en situación de riesgo cardiovascular CCi. Los valores más altos de leptina se observaron en las mujeres obesas. No hubo asociación entre niveles séricos de leptina y variables antropométricas. Encontrándose correlación positiva y significativa entre peso, talla, IMC, CCi, circunferencia de cadera (CCa) y estradiol. Conclusiones: Las mujeres posmenopáusicas presentaron una alta prevalencia de sobrepeso/obesidad, distribución de grasa tipo androide y niveles normales de leptina sérica. El grupo evaluado se considera en riesgo para enfermedades cardiometabólicas según indicadores antropométricos.

Published
2010

25. Toepassing GPS en GIS in de akkerbouw : nut en rendement van toepassingen op het gebied van geolandbouw

Author

van der Schans, D.A., Jukema, J.N., van der Klooster, A., Molenaar, K., Krebbers, H., Korver, R., van Roessel, G.J., Meertens, L., and Truiman, J.

Subjects
precision agriculture, computertechnieken, gewasteelt, globale plaatsbepalingssystemen, landbouwwerktuigen, crop management, precisielandbouw, PPO Arable Farming, Multifunctional Agriculture and Field Production of Vegetables, self propelled machines, zelfrijdende machines, computer techniques, global positioning systems, farm machinery, PPO Akkerbouw, Groene Ruimte en Vollegrondsgroente
Abstract

Het beschikbaar komen van systemen voor satelliet plaatsbepaling en navigatie, Global Navigation Satellite System (GNSS) kan grote invloed hebben op de bedrijfsvoering en rendement van het akkerbouwbedrijf. Voor landbouwkundige toepassingen worden in snel tempo aan GNSS gerelateerde toepassingen en diensten ontwikkeld en aangeboden. Landbouw is in Nederland een grote en intensieve gebruiker van de open ruimte en kan daarmee profiteren van de mogelijkheden die GNSS biedt. Vaak is niet duidelijke welke waarde en betekenis deze toepassingen hebben voor de bedrijfsvoering. Een actueel overzicht van beschikbare toepassingen en diensten met een indicatie van de gevolgen voor het rendement wordt in dit rapport gegeven

Published
2008

34. HTLV-2B Strains, Similar to Those Found in Several Amerindian Tribes, Are Endemic in Central African Bakola Pygmies.

Author

Mauclère P, Afonso PV, Meertens L, Plancoulaine S, Calattini S, Froment A, Van Beveren M, de Thé G, Quintana-Murci L, Mahieux R, and Gessain A

Subjects
RNA virus infections, BIOCHEMISTRY, SEQUENCE analysis, DNA, RETROVIRUSES, PHENOMENOLOGICAL biology, PUBLIC health, RNA, DOCUMENTATION, CLUSTER analysis (Statistics), MOLECULAR epidemiology, CENTRAL Africans (Central African Republic), EPIDEMIOLOGICAL research
Abstract

Background. The presence and origin of endemic foci of human T-lymphotropic virus type 2 (HTLV2) infection in Africa remain a matter of debate. Methods. To better appreciate such determinants, we performed a survey of 1918 inhabitants from Cameroon forest areas, including 1051 Bakola Pygmies and 867 Bantus. Results. The overall HTLV-1/2 seroprevalence was 4% (49 cases of HTLV-1 and 27 cases of HTLV-2 infection). Both infections were mainly restricted to the Bakola Pygmies, with surprisingly no HTLV-2 infections in the Bantu population. Both HTLV-1 and HTLV-2 seroprevalences increased with age. There was evidence of ongoing HTLV-2 transmission in this population. Lymphoid T cell lines producing HTLV-2 were established. HTLV-2 long terminal repeat sequences (672 base pairs) obtained from 7 infected Bakola were highly similar to each other (<1% nucleotide divergence), as well as to Amerindian HTLV-2B strains. Analyses on a complete sequence (8954 base pairs) confirmed that it was a typical HTLV-2 subtype B strain. Along with molecular clock analysis, these data strongly suggest that HTLV-2 has been endemic in the Bakola Pygmy population for a long time. Conclusions. This study demonstrates clearly an HTLV-2 endemicity with ongoing transmission in an African population. Furthermore, it give insights into central questions regarding the origins and evolution rate of HTLV-2 and the migrations of infected populations. [ABSTRACT FROM AUTHOR]

Published
2011
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40. Smarter interoperability based on automatic schema matching and intelligence amplification

Author

Jean Paul Sebastian Piest, Meertens, L. O., Buis, J., Iacob, M. E., Sinderen, M., Industrial Engineering & Business Information Systems, and Services, Cybersecurity & Safety

Subjects
Machine learning, Intelligence amplification, Interoperability, Schema matching, Auto-mapping
Abstract

The process of connecting enterprise systems and applications to digital platforms and ecosystems requires interoperability on different levels and eventually leads to the task of creating a schema mapping. At present, this task is carried out manually and prior research has proven this task difficult to automate. In this paper, we discuss the suitability of machine learning approaches to create an auto-mapping functionality, so different schemas and standards can (partially) be mapped automatically, and incorporate a symbiotic approach to improve the matching result. To the best of our knowledge, this is a new approach with potential to reduce the time needed for schema matching tasks. The main contribution of this paper is a reference architecture and prototype for smarter interoperability using a combination of automatic schema matching, based on machine learning, and intelligence amplification.

41. HTLV-2 in Central Africa: HTLV-2 subtype B strains similar to those found in Amerindian tribes are endemic in Bakola Pygmies from south Cameroon but not in surrounding Bantus and Baka Pygmies

Author

de Thé Guy, Van Beveren Monique, Froment Alain, Calattini Sara, Betsem Edouard, Filippone Claudia, Plancoulaine Sabine, Afonso Philippe, Meertens Laurent, Mauclère Philippe, Quintana-Murci Luis, Mahieux Renaud, and Gessain Antoine

Subjects
Immunologic diseases. Allergy, RC581-607
Published
2011
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42. Presence of a functional but dispensable Nuclear Export Signal in the HTLV-2 Tax protein

Author

Kiemer Lars, Gessain Antoine, Calattini Sara, Meertens Laurent, Chevalier Sébastien A, and Mahieux Renaud

Subjects
Immunologic diseases. Allergy, RC581-607
Abstract

Abstract Background Human T-cell leukemia virus type 1 and type 2 are related human retroviruses. HTLV-1 is the etiological agent of the Adult T-cell Leukemia/Lymphoma and of the Tropical Spastic Paraparesis/HTLV-1 Associated Myelopathy, whereas, HTLV-2 infection has not been formally associated with any T-cell malignancy. HTLV-1 and 2 genomes encode, respectively, the Tax1 and Tax2 proteins whose role is to transactivate the viral promoter. HTLV-1 and HTLV-2 Tax sequences display 28% divergence at the amino acid level. Tax1 is a shuttling protein that possesses both a non canonical nuclear import (NLS) and a nuclear export (NES) signal. We have recently demonstrated that Tax1 and Tax2 display different subcellular localization and that residues 90–100 are critical for this process. We investigate in the present report, whether Tax2 also possesses a functional NES. Results We first used a NES prediction method to determine whether the Tax2 protein might contain a NES and the results do suggest the presence of a NES sequence in Tax2. Using Green Fluorescent Protein-NES (GFP-NES) fusion proteins, we demonstrate that the Tax2 sequence encompasses a functional NES (NES2). As shown by microscope imaging, NES2 is able to mediate translocation of GFP from the nucleus, without the context of a full length Tax protein. Furthermore, point mutations or leptomycin B treatment abrogate NES2 function. However, within the context of full length Tax2, similar point mutations in the NES2 leucine rich stretch do not modify Tax2 localization. Finally, we also show that Tax1 NES function is dependent upon the positioning of the nuclear export signal "vis-à-vis" GFP. Conclusion HTLV-2 Tax NES is functional but dispensable for the protein localization in vitro.

Published
2005
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43. X-linked recessive TLR7 deficiency in ~1% of men under 60 years old with life-threatening COVID-19

Author

Asano, Takaki, Boisson, Bertrand, Onodi, Fanny, Matuozzo, Daniela, Moncada-Velez, Marcela, Maglorius Renkilaraj, Majistor Raj Luxman, Zhang, Peng, Meertens, Laurent, Bolze, Alexandre, Materna, Marie, Korniotis, Sarantis, Gervais, Adrian, Talouarn, Estelle, Bigio, Benedetta, Seeleuthner, Yoann, Bilguvar, Kaya, Zhang, Yu, Neehus, Anna-Lena, Ogishi, Masato, Pelham, Simon J., Le Voyer, Tom, Rosain, Jérémie, Philippot, Quentin, Soler-Palacín, Pere, Colobran, Roger, Martin-Nalda, Andrea, Rivière, Jacques G., Tandjaoui-Lambiotte, Yacine, Chaïbi, Khalil, Shahrooei, Mohammad, Darazam, Ilad Alavi, Olyaei, Nasrin Alipour, Mansouri, Davood, Hatipoğlu, Nevin, Palabiyik, Figen, Ozcelik, Tayfun, Novelli, Giuseppe, Novelli, Antonio, Casari, Giorgio, Aiuti, Alessandro, Carrera, Paola, Bondesan, Simone, Barzaghi, Federica, Rovere-Querini, Patrizia, Tresoldi, Cristina, Franco, Jose Luis, Rojas, Julian, Reyes, Luis Felipe, Bustos, Ingrid G., Arias, Andres Augusto, Morelle, Guillaume, Kyheng, Christèle, Troya, Jesús, Planas-Serra, Laura, Schlüter, Agatha, Gut, Marta, Pujol, Aurora, Allende, Luis M., Rodriguez-Gallego, Carlos, Flores, Carlos, Cabrera-Marante, Oscar, Pleguezuelo, Daniel E., Pérez de Diego, Rebeca, Keles, Sevgi, Aytekin, Gokhan, Metin Akcan, Ozge, Bryceson, Yenan T., Bergman, Peter, Brodin, Petter, Smole, Daniel, Smith, C. I. Edvard, Norlin, Anna-Carin, Campbell, Tessa M., Covill, Laura E., Hammarström, Lennart, Pan-Hammarström, Qiang, Abolhassani, Hassan, Mane, Shrikant, Marr, Nico, Ata, Manar, Al Ali, Fatima, Khan, Taushif, Spaan, András N., Dalgard, Clifton L., Bonfanti, Paolo, Biondi, Andrea, Tubiana, Sarah, Burdet, Charles, Nussbaum, Robert, Kahn-Kirby, Amanda, Snow, Andrew L., Bustamante, Jacinta, Puel, Anne, Boisson-Dupuis, Stéphanie, Zhang, Shen-Ying, Béziat, Vivien, Lifton, Richard P., Bastard, Paul, Notarangelo, Luigi D., Abel, Laurent, Su, Helen C., Jouanguy, Emmanuelle, Amara, Ali, Soumelis, Vassili, Cobat, Aurélie, Zhang, Qian, Casanova, Jean-Laurent, Al-Muhsen, Saleh, Al-Mulla, Fahd, Anderson, Mark S., Andreakos, Evangelos, Arias, Andrés A., Feldman, Hagit Baris, Belot, Alexandre, Biggs, Catherine M., Bogunovic, Dusan, Bondarenko, Anastasiia, Bousfiha, Ahmed A., Bryceson, Yenan, Bustamante, Carlos D., Butte, Manish J., Chakravorty, Samya, Christodoulou, John, Condino-Neto, Antonio, Constantinescu, Stefan N., Cooper, Megan A., Desai, Murkesh, Drolet, Beth A., El Baghdadi, Jamila, Espinosa-Padilla, Sara, Fellay, Jacques, Franco, José Luis, Froidure, Antoine, Gregersen, Peter K., Haerynck, Filomeen, Hagin, David, Halwani, Rabih, Heath, James R., Henrickson, Sarah E., Hsieh, Elena W.Y., Husebye, Eystein, Imai, Kohsuke, Itan, Yuval, Jarvis, Erich D., Karamitros, Timokratis, Kisand, Kai, Ku, Cheng-Lung, Lau, Yu-Lung, Ling, Yun, Lucas, Carrie L., Maniatis, Tom, Maródi, László, Meyts, Isabelle, Milner, Joshua D., Mironska, Kristina, Mogensen, Trine H., Morio, Tomohiro, Ng, Lisa F.P., O'Farrelly, Cliona, Okada, Satoshi, de Diego, Rebeca Perez, Planas, Anna M., Prando, Carolina, Quintana-Murci, Lluis, Renia, Laurent, Resnick, Igor, Rodríguez-Gallego, Carlos, Sancho-Shimizu, Vanessa, Sediva, Anna, Seppänen, Mikko R.J., Shahrooei, Mohammed, Shcherbina, Anna, Slaby, Ondrej, Tancevski, Ivan, Tangye, Stuart G., Abou Tayoun, Ahmad, Ramaswamy, Sathishkumar, Turvey, Stuart E, Uddin, K M Furkan, Uddin, Mohammed J., van de Beek, Diederik, Vinh, Donald C., von Bernuth, Horst, Zatz, Mayana, Zawadzki, Pawel, Foti, Giuseppe, Bellani, Giacomo, Citerio, Giuseppe, Contro, Ernesto, Pesci, Alberto, Valsecchi, Maria Grazia, Cazzaniga, Marina, Abad, Jorge, Accordino, Giulia, Achille, Cristian, Aguilera-Albesa, Sergio, Aguiló-Cucurull, Aina, Özkan, Esra Akyüz, Roblero Albisures, Jonathan Antonio, Aldave, Juan C, Ramos, Miquel Alfonso, Khan, Taj Ali, Aliberti, Anna, Nadji, Seyed Alireza, Alkan, Gulsum, AlKhater, Suzan A., Allardet-Servent, Jerome, Allende, Luis M, Alonso-Arias, Rebeca, Alshahrani, Mohammed S, Alsina, Laia, Alyanakian, Marie-Alexandra, Borrero, Blanca Amador, Amoura, Zahir, Antolí, Arnau, Arrestier, Romain, Aubart, Mélodie, Auguet, Teresa, Avramenko, Iryna, Aytekin, Gökhan, Azot, Axelle, Bahram, Seiamak, Bajolle, Fanny, Baldanti, Fausto, Baldolli, Aurélie, Ballester, Maite, Barrou, Benoit, Barzagh, Federica, Basso, Sabrina, Bayhan, Gulsum Iclal, Bezrodnik, Liliana, Bilbao, Agurtzane, Blanchard-Rohner, Geraldine, Blanco, Ignacio, Blandinières, Adeline, Blázquez-Gamero, Daniel, Bleibtreu, Alexandre, Bloomfield, Marketa, Bolivar-Prados, Mireia, Borghesi, Alessandro, Borie, Raphael, Botdhlo-Nevers, Elisabeth, Bousfiha, Ahmed A, Bousquet, Aurore, Boutolleau, David, Bouvattier, Claire, Boyarchuk, Oksana, Bravais, Juliette, Briones, M. Luisa, Brunner, Marie-Eve, Bruno, Raffaele, Bueno, Maria Rita P, Bukhari, Huda, Cáceres Agra, Juan José, Capra, Ruggero, Carapito, Raphael, Carrabba, Maria, Casasnovas, Carlos, Caseris, Marion, Cassaniti, Irene, Castelle, Martin, Castelli, Francesco, de Vera, Martín Castillo, Castro, Mateus V, Catherinot, Emilie, Celik, Jale Bengi, Ceschi, Alessandro, Chalumeau, Martin, Charbit, Bruno, Cheng, Matthew P., Clavé, Père, Clotet, Bonaventura, Codina, Anna, Cohen, Yves, Comarmond, Cloé, Combes, Alain, Comoli, Patrizia, Corsico, Angelo G, Coşkuner, Taner, Cvetkovski, Aleksandar, Cyrus, Cyril, Dalmau, David, Danion, François, Darley, David Ross, Das, Vincent, Dauby, Nicolas, Dauger, Stéphane, De Munter, Paul, de Pontual, Loic, Dehban, Amin, Delplancq, Geoffroy, Demoule, Alexandre, Desguerre, Isabelle, Di Sabatino, Antonio, Diehl, Jean-Luc, Dobbelaere, Stephanie, Domínguez-Garrido, Elena, Dubost, Clément, Ekwall, Olov, Bozdemir, Şefika Elmas, Elnagdy, Marwa H, Emiroglu, Melike, Endo, Akifumi, Erdeniz, Emine Hafize, Aytekin, Selma Erol, Lasa, Maria Pilar Etxart, Euvrard, Romain, Fabio, Giovanna, Faivre, Laurence, Falck, Antonin, Fartoukh, Muriel, Faure, Morgane, Arquero, Miguel Fernandez, Ferrer, Ricard, Ferreres, Jose, Francois, Bruno, Fumadó, Victoria, Fung, Kitty S C, Fusco, Francesca, Gagro, Alenka, Solis, Blanca Garcia, Gaussem, Pascale, Gayretli, Zeynep, Gil-Herrera, Juana, Gilardin, Laurent, Gatineau, Audrey Giraud, Girona-Alarcón, Mònica, Cifuentes Godínez, Karen Alejandra, Goffard, Jean-Christophe, Gonzales, Nacho, Gonzalez-Granado, Luis I, González-Montelongo, Rafaela, Guerder, Antoine, Gülhan, Belgin, Gumucio, Victor Daniel, Hanitsch, Leif Gunnar, Gunst, Jan, Hadjadj, Jérôme, Hancerli, Selda, Hariyan, Tetyana, Hatipoglu, Nevin, Heppekcan, Deniz, Hernandez-Brito, Elisa, Ho, Po-ki, Holanda-Peña, María Soledad, Horcajada, Juan P, Hraiech, Sami, Humbert, Linda, Hung, Ivan F N, Iglesias, Alejandro D., Íñigo-Campos, Antonio, Jamme, Matthieu, Arranz, María Jesús, Jimeno, Marie-Thérèse, Jordan, Iolanda, Yüksek, Saliha Kanık, Kara, Yalcin Burak, Karahan, Aydın, Karbuz, Adem, Yasar, Kadriye Kart, Kasapcopur, Ozgur, Kashimada, Kenichi, Demirkol, Yasemin Kendir, Kido, Yasutoshi, Kizil, Can, Kılıç, Ahmet Osman, Klocperk, Adam, Koutsoukou, Antonia, Król, Zbigniew J., Ksouri, Hatem, Kuentz, Paul, Kwan, Arthur M C, Kwan, Yat Wah M, Kwok, Janette S Y, Lagier, Jean-Christophe, Lam, David S Y, Lampropoulou, Vicky, Lanternier, Fanny, LAU, Yu-Lung, Le Bourgeois, Fleur, Leo, Yee-Sin, Lopez, Rafael Leon, Leung, Daniel, Levin, Michael, Levy, Michael, Lévy, Romain, Li, Zhi, Lilleri, Daniele, Bolanos Lima, Edson Jose Adrian, Linglart, Agnes, López-Collazo, Eduardo, Lorenzo-Salazar, José M., Louapre, Céline, Lubetzki, Catherine, Lung, Kwok-Cheung, Luyt, Charles-Edouard, Lye, David C, Magnone, Cinthia, Marchioni, Enrico, Marioli, Carola, Marjani, Majid, Marques, Laura, Pereira, Jesus Marquez, Martín-Nalda, Andrea, Pueyo, David Martínez, Martinez-Picado, Javier, Marzana, Iciar, Mata-Martínez, Carmen, Mathian, Alexis, Matos, Larissa RB, Matthews, Gail V, Mayaux, Julien, McLaughlin-Garcia, Raquel, Meersseman, Philippe, Mège, Jean-Louis, Mekontso-Dessap, Armand, Melki, Isabelle, Meloni, Federica, Meritet, Jean-François, Merlani, Paolo, Akcan, Özge Metin, Mezidi, Mehdi, Migeotte, Isabelle, Millereux, Maude, Million, Matthieu, Mirault, Tristan, Mircher, Clotilde, Mirsaeidi, Mehdi, Mizoguchi, Yoko, Modi, Bhavi P, Mojoli, Francesco, Moncomble, Elsa, Melián, Abián Montesdeoca, Martinez, Antonio Morales, Morandeira, Francisco, Morange, Pierre-Emmanuel, Mordacq, Cléemence, Mouly, Stéphane J, Muñoz-Barrera, Adrián, Nafati, Cyril, Nagashima, Shintaro, Nakagama, Yu, Neven, Bénédicte, Neves, João Farela, Ng, Lisa FP, Ng, Yuk-Yung, Nielly, Hubert, Medina, Yeray Novoa, Cuadros, Esmeralda Nuñez, Ocejo-Vinyals, J. Gonzalo, Okamoto, Keisuke, Oualha, Mehdi, Ouedrani, Amani, Özçelik, Tayfun, Ozkaya-Parlakay, Aslinur, Pagani, Michele, Papadaki, Maria, Parizot, Christophe, Parola, Philippe, Pascreau, Tiffany, Paul, Stéphane, Paz-Artal, Estela, Pedraza, Sigifredo, González Pellecer, Nancy Carolina, Pellegrini, Silvia, de Diego, Rebeca Pérez, Pérez-Fernández, Xosé Luis, Philippe, Aurélien, Picod, Adrien, de Chambrun, Marc Pineton, Piralla, Antonio, Ploin, Dominique, Poissy, Julien, Poncelet, Géraldine, Poulakou, Garyphallia, Pouletty, Marie S, Pourshahnazari, Persia, Qiu-Chen, Jia Li, Quentric, Paul, Rambaud, Thomas, Raoult, Didier, Raoult, Violette, Rebillat, Anne-Sophie, Redin, Claire, Resmini, Léa, Ricart, Pilar, Richard, Jean-Christophe, Rigo-Bonnin, Raúl, Rivet, Nadia, Rivière, Jacques G, Rocamora-Blanch, Gemma, Rodero, Mathieu P, Rodrigo, Carlos, Rodriguez, Luis Antonio, Rodriguez-Palmero, Agustí, Romero, Carolina Soledad, Rothenbuhler, Anya, Roux, Damien, Rovina, Nikoletta, Rozenberg, Flore, Ruch, Yvon, Ruiz, Montse, Ruiz del Prado, Maria Yolanda, Ruiz-Rodriguez, Juan Carlos, Sabater-Riera, Joan, Saks, Kai, Salagianni, Maria, Sanchez, Oliver, Sánchez-Montalvá, Adrián, Sánchez-Ramón, Silvia, Schidlowski, Laire, Schluter, Agatha, Schmidt, Julien, Schmidt, Matthieu, Schuetz, Catharina, Schweitzer, Cyril E, Scolari, Francesco, Seijo, Luis, Seminario, Analia Gisela, Sene, Damien, Seng, Piseth, Senoglu, Sevtap, Seppänen, Mikko, Llovich, Alex Serra, Siguret, Virginie, Siouti, Eleni, Smadja, David M, Smith, Nikaia, Sobh, Ali, Solanich, Xavier, Solé-Violán, Jordi, Soler, Catherine, Sözeri, Betül, Stella, Giulia Maria, Stepanovskiy, Yuriy, Stoclin, Annabelle, Taccone, Fabio, Taupin, Jean-Luc, Tavernier, Simon J, Tello, Loreto Vidaur, Terrier, Benjamin, Thiery, Guillaume, Thorball, Christian, Thorn, Karolina, Thumerelle, Caroline, Tipu, Imran, Tolstrup, Martin, Tomasoni, Gabriele, Toubiana, Julie, Alvarez, Josep Trenado, Triantafyllia, Vasiliki, Trouillet-Assant, Sophie, Tsang, Owen T Y, Tserel, Liina, Tso, Eugene Y K, Tucci, Alessandra, Tüter Öz, Şadiye Kübra, Ursini, Matilde Valeria, Utsumi, Takanori, Uzunhan, Yurdagul, Vabres, Pierre, Valencia-Ramos, Juan, Van Den Rym, Ana Maria, Vandernoot, Isabelle, Velez-Santamaria, Valentina, Zuniga Veliz, Silvia Patricia, Vidigal, Mateus C, Viel, Sébastien, Vilain, Cédric, Vilaire-Meunier, Marie E, Villar-García, Judit, Vincent, Audrey, Vogt, Guillaume, Voiriot, Guillaume, Volokha, Alla, Vuotto, Fanny, Wauters, Els, Wauters, Joost, Wu, Alan K L, Wu, Tak-Chiu, Yahşi, Aysun, Yesilbas, Osman, Yildiz, Mehmet, Young, Barnaby E, Yükselmiş, Ufuk, Zecca, Marco, Zuccaro, Valentina, Jens, Van Praet, Lambrecht, Bart N., Eva, Van Braeckel, Cédric, Bosteels, Levi, Hoste, Eric, Hoste, Bauters, Fré, De Clercq, Jozefien, Cathérine, Heijmans, Hans, Slabbynck, Leslie, Naesens, Florkin, Benoit, Boulanger, Cécile, Vanderlinden, Dimitri, Annereau, Jean-Philippe, Briseño-Roa, Luis, Gribouval, Olivier, Pelet, Anna, Andrejak, Claire, Angoulvant, François, Bachelet, Delphine, Bartoli, Marie, Basmaci, Romain, Behilill, Sylvie, Beluze, Marine, Benkerrou, Dehbia, Bhavsar, Krishna, Bouadma, Lila, Bouchez, Sabelline, Bouscambert, Maude, Cervantes-Gonzalez, Minerva, Chair, Anissa, Chirouze, Catherine, Coelho, Alexandra, Couffignal, Camille, Couffin-Cadiergues, Sandrine, d’Ortenzio, Eric, Debray, Marie-Pierre, Deconinck, Lauren, Deplanque, Dominique, Descamps, Diane, Desvallée, Mathilde, Diallo, Alpha, Diouf, Alphonsine, Dorival, Céline, Dubos, François, Duval, Xavier, Elharrar, Brigitte, Eloy, Philippine, Enouf, Vincent, Esperou, Hélène, Esposito-Farese, Marina, Etienne, Manuel, Devouge, Eglantine Ferrand, Gault, Nathalie, Gaymard, Alexandre, Ghosn, Jade, Gigante, Tristan, Gilg, Morgane, Guedj, Jérémie, Hoctin, Alexandre, Hoffmann, Isabelle, Houas, Ikram, Hulot, Jean-Sébastien, Jaafoura, Salma, Kafif, Ouifiya, Kaguelidou, Florentia, Kali, Sabrina, Khalil, Antoine, Khan, Coralie, Laouénan, Cédric, Laribi, Samira, Le, Minh, Le Hingrat, Quentin, Le Mestre, Soizic, Le Nagard, Hervé, Lescure, François-Xavier, Letrou, Sophie, Levy, Yves, Lina, Bruno, Lingas, Guillaume, Lucet, Jean Christophe, Malvy, Denis, Mambert, Marina, Mentré, France, Meziane, Amina, Mouquet, Hugo, Mullaert, Jimmy, Neant, Nadège, Nguyen, Duc, Noret, Marion, Nseir, Saad, Papadopoulos, Aurélie, Paul, Christelle, Peiffer-Smadja, Nathan, Perpoint, Thomas, Petrov-Sanchez, Ventzislava, Peytavin, Gilles, Pham, Huong, Picone, Olivier, Piquard, Valentine, Puéchal, Oriane, Rabaud, Christian, Rosa-Calatrava, Manuel, Rossignol, Bénédicte, Rossignol, Patrick, Roy, Carine, Schneider, Marion, Su, Richa, Tardivon, Coralie, Tellier, Marie-Capucine, Téoulé, François, Terrier, Olivier, Timsit, Jean-François, Tual, Christelle, Van Der Werf, Sylvie, Vanel, Noémie, Veislinger, Aurélie, Visseaux, Benoit, Wiedemann, Aurélie, Yazdanpanah, Yazdan, Alavoine, Loubna, Behillil, Sylvie, Charpentier, Charlotte, Dechanet, Aline, Ecobichon, Jean-Luc, Frezouls, Wahiba, Houhou, Nadhira, Lehacaut, Jonathan, Lucet, Jean-Christophe, Manchon, Pauline, Nouroudine, Mariama, Quintin, Caroline, Thy, Michael, van der Werf, Sylvie, Vignali, Valérie, Chahine, Abir, Waucquier, Nawal, Migaud, Maria-Claire, Djossou, Félix, Mergeay-Fabre, Mayka, Lucarelli, Aude, Demar, Magalie, Bruneau, Léa, Gérardin, Patrick, Maillot, Adrien, Payet, Christine, Laviolle, Bruno, Laine, Fabrice, Paris, Christophe, Desille-Dugast, Mireille, Fouchard, Julie, Pistone, Thierry, Perreau, Pauline, Gissot, Valérie, Le Goas, Carole, Montagne, Samatha, Richard, Lucie, Bouiller, Kévin, Desmarets, Maxime, Meunier, Alexandre, Lefévre, Benjamin, Jeulin, Hélène, Legrand, Karine, Lomazzi, Sandra, Tardy, Bernard, Gagneux-Brunon, Amandine, Bertholon, Frédérique, Botelho-Nevers, Elisabeth, Kouakam, Christelle, Leturque, Nicolas, Roufai, Layidé, Amat, Karine, Espérou, Hélène, Hendou, Samia, van Agtmael, Michiel, Algera, Anne Geke, Appelman, Brent, van Baarle, Frank, Bax, Diane, Beudel, Martijn, Bogaard, Harm Jan, Bomers, Marije, Bonta, Peter, Bos, Lieuwe, Botta, Michela, de Brabander, Justin, de Bree, Godelieve, de Bruin, Sanne, Buis, David T.P., Bugiani, Marianna, Bulle, Esther, Chouchane, Osoul, Cloherty, Alex, Dijkstra, Mirjam, Dongelmans, Dave A., Dujardin, Romein W.G., Elbers, Paul, Fleuren, Lucas, Geerlings, Suzanne, Geijtenbeek, Theo, Girbes, Armand, Goorhuis, Bram, Grobusch, Martin P., Hafkamp, Florianne, Hagens, Laura, Hamann, Jorg, Harris, Vanessa, Hemke, Robert, Hermans, Sabine M., Heunks, Leo, Hollmann, Markus, Horn, Janneke, Hovius, Joppe W., de Jong, Menno D., Koning, Rutger, Lim, Endry H.T., van Mourik, Niels, Nellen, Jeaninne, Nossent, Esther J., Paulus, Frederique, Peters, Edgar, Pina-Fuentes, Dan A.I., van der Poll, Tom, Preckel, Bennedikt, Prins, Jan M., Raasveld, Jorinde, Reijnders, Tom, de Rotte, Maurits C.F.J., Schinkel, Michiel, Schultz, Marcus J., Schrauwen, Femke A.P., Schuurmans, Alex, Schuurmans, Jaap, Sigaloff, Kim, Slim, Marleen A., Smeele, Patrick, Smit, Marry, Stijnis, Cornelis S., Stilma, Willemke, Teunissen, Charlotte, Thoral, Patrick, Tsonas, Anissa M, Tuinman, Pieter R., van der Valk, Marc, Veelo, Denise, Volleman, Carolien, de Vries, Heder, Vught, Lonneke A., van Vugt, Michèle, Wouters, Dorien, Zwinderman, A. H (Koos), Brouwer, Matthijs C., Wiersinga, W. Joost, Vlaar, Alexander P.J., Tompkins, Miranda F., Alba, Camille, Hupalo, Daniel N., Rosenberger, John, Sukumar, Gauthaman, Wilkerson, Matthew D., Zhang, Xijun, Lack, Justin, Oler, Andrew J., Dobbs, Kerry, Delmonte, Ottavia M., Danielson, Jeffrey J., Bettini, Laura Rachele, D’Angio, Mariella, Beretta, Ilaria, Imberti, Luisa, Sottini, Alessandra, Quaresima, Virginia, Quiros-Roldan, Eugenia, Rossi, Camillo, Children's Hospital, HUS Children and Adolescents, Clinicum, Department of Medicine, UCL - SSS/IREC/PNEU - Pôle de Pneumologie, ORL et Dermatologie, AII - Infectious diseases, ANS - Neuroinfection & -inflammation, Neurology, Infectious diseases, Center of Experimental and Molecular Medicine, APH - Aging & Later Life, APH - Global Health, APH - Quality of Care, AII - Amsterdam institute for Infection and Immunity, APH - Health Behaviors & Chronic Diseases, Global Health, APH - Methodology, Graduate School, ACS - Heart failure & arrhythmias, Anesthesiology, ACS - Diabetes & metabolism, APH - Digital Health, APH - Personalized Medicine, ACS - Microcirculation, Laboratoire de Chimie et de Biochimie Pharmacologiques et Toxicologiques (LCBPT - UMR 8601), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Laboratory of Human Genetics of Infectious Diseases (Necker Branch - INSERM U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Rockefeller University [New York], Génomes, biologie cellulaire et thérapeutiques (GenCellDi (UMR_S_944)), Collège de France (CdF (institution))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Helix [San Mateo, CA], Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Özçelik, Tayfun, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Pathology, Asano, T., Boisson, B., Onodi, F., Matuozzo, D., Moncada-Velez, M., Renkilaraj, M. R. L. M., Zhang, P., Meertens, L., Bolze, A., Materna, M., Korniotis, S., Gervais, A., Talouarn, E., Bigio, B., Seeleuthner, Y., Bilguvar, K., Zhang, Y., Neehus, A. -L., Ogishi, M., Pelham, S. J., Le Voyer, T., Rosain, J., Philippot, Q., Soler-Palacin, P., Colobran, R., Martin-Nalda, A., Riviere, J. G., Tandjaoui-Lambiotte, Y., Chaibi, K., Shahrooei, M., Darazam, I. A., Olyaei, N. A., Mansouri, D., Hatipoglu, N., Palabiyik, F., Ozcelik, T., Novelli, G., Novelli, A., Casari, G., Aiuti, A., Carrera, P., Bondesan, S., Barzaghi, F., Rovere-Querini, P., Tresoldi, C., Franco, J. L., Rojas, J., Reyes, L. F., Bustos, I. G., Arias, A. A., Morelle, G., Kyheng, C., Troya, J., Planas-Serra, L., Schluter, A., Gut, M., Pujol, A., Allende, L. M., Rodriguez-Gallego, C., Flores, C., Cabrera-Marante, O., Pleguezuelo, D. E., Diego, R. P. D., Keles, S., Aytekin, G., Akcan, O. M., Bryceson, Y. T., Bergman, P., Brodin, P., Smole, D., Smith, C. I. E., Norlin, A. -C., Campbell, T. M., Covill, L. E., Hammarstrom, L., Pan-Hammarstrom, Q., Abolhassani, H., Mane, S., Marr, N., Ata, M., Ali, F. A., Khan, T., Spaan, A. N., Dalgard, C. L., Bonfanti, P., Biondi, A., Tubiana, S., Burdet, C., Nussbaum, R., Kahn-Kirby, A., Snow, A. L., Bustamante, J., Puel, A., Boisson-Dupuis, S., Zhang, S. -Y., Beziat, V., Lifton, R. P., Bastard, P., Notarangelo, L. D., Abel, L., Su, H. C., Jouanguy, E., Amara, A., Soumelis, V., Cobat, A., Zhang, Q., Casanova, J. -L., Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Génomes, biologie cellulaire et thérapeutiques (GenCellDi (U944 / UMR7212)), Collège de France (CdF (institution))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Institut Pasteur [Paris] (IP), Génétique Moléculaire des Virus à ARN - Molecular Genetics of RNA Viruses (GMV-ARN (UMR_3569 / U-Pasteur_2)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Agents infectieux, résistance et chimiothérapie - UR UPJV 4294 (AGIR ), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, CHU Amiens-Picardie, French COVID cohort study group, The Laboratory of Human Genetics of Infectious Diseases is supported by the Howard Hughes Medical Institute, Rockefeller University, the St. Giles Foundation, the NIH (R01AI088364), the National Center for Advancing Translational Sciences (NCATS), NIH Clinical and Translational Science Award (CTSA) program (UL1TR001866), a Fast Grant from Emergent Ventures, Mercatus Center at the George Mason University, the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956), the Fisher Center for Alzheimer’s Research Foundation, the Meyer Foundation, the JPB Foundation, the French National Research Agency (ANR) under the 'Investments for the Future' program (ANR-10-IAHU-01) and the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the French Foundation for Medical Research (FRM) (EQU201903007798), the FRM and ANR GENCOVID project, the ANRS-COV05, ANR GENVIR (ANR-20-CE93-003), and ANR AABIFNCOV (ANR-20-CO11-0001) projects, the European Union’s Horizon 2020 Research and Innovation Program under grant agreement no. 824110 (EASI-genomics), the Square Foundation, Grandir–Fonds de solidarité pour l’enfance, the SCOR Corporate Foundation for Science, Fondation du Souffle, Institut National de la Santé et de la Recherche Médicale (INSERM), REACTing-INSERM, and the University of Paris. The French COVID Cohort study group was sponsored by INSERM and supported by the REACTing consortium and by a grant from the French Ministry of Health (PHRC 20-0424). The Cov-Contact Cohort was supported by the REACTing consortium, the French Ministry of Health, and the European Commission (RECOVER WP 6). The Neurometabolic Diseases Laboratory received funding from the European Union’s Horizon 2020 Research and Innovation Program (EasiGenomics grant no. 824110 COVID-19/PID12342). A.P., R.P.d.D., C.R.-G., and C.F. were funded by Instituto de Salud Carlos III (COV20_01333 and COV20_01334), the Spanish Ministry of Science and Innovation (RTC-2017-6471-1, AEI/FEDER, UE), Fundación DISA (OA18/017), and Cabildo Insular de Tenerife (CGIEU0000219140 and 'Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19'). The laboratories of G.N. and A.N. were supported by a grant awarded to Regione Lazio (PROGETTI DI GRUPPI DI RICERCA 2020) no. A0375-2020-36663, GecoBiomark. A. Amara’s laboratory was supported by ANR under the 'Investments for the Future' program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the FRM (EQU202003010193), ANR (ANR-20-COVI-000 project IDISCOVR and ANR-20-CO11-0004 project FISHBP), and the University of Paris (Plan de Soutien Covid-19: RACPL20FIR01-COVID-SOUL). This work was supported, in part, by the Division of Intramural Research, NIAID, NIH (grants 1ZIAAI001265 to H.C.S. and ZIA AI001270 to L.D.N.). The G.C. laboratory was supported by the Italian Ministry of Health (grant COVID-2020-12371617) and the intramural COVID Host Genetics program. The J.L.F. laboratory was supported, in part, by the Coopération Scientifique France-Colciencias (ECOS-Nord/COLCIENCIAS/MEN/ICETEX, 806-2018) and Colciencias contract 713-2016 (no. 111574455633). The V.S. laboratory was supported by ANR DENDRISEPSIS (ANR-17-CE15-0003) and ANR APCOD (ANR-17-CE15-0003-01), a Fast Grant from the Mercatus Center, FRM, University of Paris PLAN D’URGENCE COVID19. The N.M. laboratory was supported by Sidra Medicine (SDR400048) and the Qatar National Research Fund (grant No. NPRP9-251-3-045). A.-L.N. was supported by the Bettencourt Schueller Foundation and the International PhD program of the Imagine Institute. P. Bergman and C.I.E.S received support from the Center for Medical Innovation (CIMED), the Swedish Medical Research Council and the Stockholm County Council (ALF-project). Part of this work was generated within the European Reference Network for rare primary immunodeficiency, autoinflammatory and autoimmune diseases (RITA)., Members of French COVID Cohort Study Group: Laurent Abel1, Claire Andrejak2, François Angoulvant3, Delphine Bachelet4, Marie Bartoli5, Romain Basmaci6, Sylvie Behilill7, Marine Beluze8, Dehbia Benkerrou9, Krishna Bhavsar4, Lila Bouadma4, Sabelline Bouchez10, Maude Bouscambert11, Minerva Cervantes-Gonzalez4, Anissa Chair4, Catherine Chirouze12, Alexandra Coelho13, Camille Couffignal4, Sandrine Couffin-Cadiergues14, Eric d’Ortenzio5, Marie-Pierre Debray4, Lauren Deconinck4, Dominique Deplanque15, Diane Descamps4, Mathilde Desvallée16, Alpha Diallo5, Alphonsine Diouf13, Céline Dorival9, François Dubos17, Xavier Duval4, Brigitte Elharrar18, Philippine Eloy4, Vincent Enouf7, Hélène Esperou14, Marina Esposito-Farese4, Manuel Etienne19, Eglantine Ferrand Devouge19, Nathalie Gault4, Alexandre Gaymard11, Jade Ghosn4, Tristan Gigante20, Morgane Gilg20, Jérémie Guedj21, Alexandre Hoctin13, Isabelle Hoffmann4, Ikram Houas14, Jean-Sébastien Hulot22, Salma Jaafoura14, Ouifiya Kafif4, Florentia Kaguelidou23, Sabrina Kali4, Antoine Khalil4, Coralie Khan16, Cédric Laouénan4, Samira Laribi4, Minh Le4, Quentin Le Hingrat4, Soizic Le Mestre5, Hervé Le Nagard24, François-Xavier Lescure4, Sophie Letrou4, Yves Levy25, Bruno Lina11, Guillaume Lingas24, Jean Christophe Lucet4, Denis Malvy26, Marina Mambert13, France Mentré4, Amina Meziane9, Hugo Mouquet7, Jimmy Mullaert4, Nadège Neant24, Duc Nguyen26, Marion Noret27, Saad Nseir17, Aurélie Papadopoulos14, Christelle Paul5, Nathan Peiffer-Smadja4, Thomas Perpoint28, Ventzislava Petrov-Sanchez5, Gilles Peytavin4, Huong Pham4, Olivier Picone6, Valentine Piquard4, Oriane Puéchal29, Christian Rabaud30, Manuel Rosa-Calatrava11, Bénédicte Rossignol20, Patrick Rossignol30, Carine Roy4, Marion Schneider4, Richa Su4, Coralie Tardivon4, Marie-Capucine Tellier4, François Téoulé9, Olivier Terrier11, Jean-François Timsit4, Christelle Tual31, Sarah Tubiana4, Sylvie Van Der Werf7, Noémie Vanel32, Aurélie Veislinger31, Benoit Visseaux4, Aurélie Wiedemann25, Yazdan Yazdanpanah4, ANR-17-CE15-0003,DENDRISEPSIS,Analyse systémique des cellules présentatrices d'antigène dans le sepsis humain(2017), ANR-20-CO11-0001,AABIFNCOV,Bases génétiques et immunologiques des auto-anticorps contre les interférons de type I prédisposant aux formes sévères de COVID-19.(2020), Asano, T, Boisson, B, Onodi, F, Matuozzo, D, Moncada-Velez, M, Maglorius Renkilaraj, M, Zhang, P, Meertens, L, Bolze, A, Materna, M, Korniotis, S, Gervais, A, Talouarn, E, Bigio, B, Seeleuthner, Y, Bilguvar, K, Zhang, Y, Neehus, A, Ogishi, M, Pelham, S, Le Voyer, T, Rosain, J, Philippot, Q, Soler-Palacín, P, Colobran, R, Martin-Nalda, A, Rivière, J, Tandjaoui-Lambiotte, Y, Chaïbi, K, Shahrooei, M, Darazam, I, Olyaei, N, Mansouri, D, Hatipoğlu, N, Palabiyik, F, Ozcelik, T, Novelli, G, Novelli, A, Casari, G, Aiuti, A, Carrera, P, Bondesan, S, Barzaghi, F, Rovere-Querini, P, Tresoldi, C, Franco, J, Rojas, J, Reyes, L, Bustos, I, Arias, A, Morelle, G, Christèle, K, Troya, J, Planas-Serra, L, Schlüter, A, Gut, M, Pujol, A, Allende, L, Rodriguez-Gallego, C, Flores, C, Cabrera-Marante, O, Pleguezuelo, D, de Diego, R, Keles, S, Aytekin, G, Akcan, O, Bryceson, Y, Bergman, P, Brodin, P, Smole, D, Smith, C, Norlin, A, Campbell, T, Covill, L, Hammarström, L, Pan-Hammarström, Q, Abolhassani, H, Mane, S, Marr, N, Ata, M, Al Ali, F, Khan, T, Spaan, A, Dalgard, C, Bonfanti, P, Biondi, A, Tubiana, S, Burdet, C, Nussbaum, R, Kahn-Kirby, A, Snow, A, Bustamante, J, Puel, A, Boisson-Dupuis, S, Zhang, S, Béziat, V, Lifton, R, Bastard, P, Notarangelo, L, Abel, L, Su, H, Jouanguy, E, Amara, A, Soumelis, V, Cobat, A, Zhang, Q, and Casanova, J

Subjects
Male, SUBSETS, [SDV]Life Sciences [q-bio], Penetrance, REDUNDANT, COVID-19 (Malaltia), 0302 clinical medicine, Resposta immunitària, 80 and over, Medicine and Health Sciences, Medicine, Young adult, Child, X-linked recessive inheritance, ComputingMilieux_MISCELLANEOUS, Aged, 80 and over, 0303 health sciences, education.field_of_study, PYOGENIC BACTERIAL-INFECTIONS, virus diseases, Genetic Diseases, X-Linked, HUMANS, General Medicine, Middle Aged, PROTECTIVE IMMUNITY, 3. Good health, Pedigree, Settore MED/03, Immune System Diseases, Genetic Diseases, Child, Preschool, Cohort, medicine.symptom, SINGLE-STRANDED RNA, Adult, Adolescent, Aged, Alleles, COVID-19, Humans, Infant, Toll-Like Receptor 7, Young Adult, Immunology, Population, Asymptomatic, Article, 03 medical and health sciences, HOST-DEFENSE, Immune response, Allele, Preschool, education, 030304 developmental biology, TOLL-LIKE RECEPTORS, business.industry, RECOGNITION, Proteins, X-Linked, medicine.disease, Pneumonia, 3121 General medicine, internal medicine and other clinical medicine, PLASMACYTOID DENDRITIC CELLS, business, Proteïnes, 030215 immunology
Abstract

Autosomal inborn errors of type I IFN immunity and autoantibodies against these cytokines underlie at least 10% of critical COVID-19 pneumonia cases. We report very rare, biochemically deleterious X-linked TLR7 variants in 16 unrelated male individuals aged 7 to 71 years (mean: 36.7 years) from a cohort of 1,202 male patients aged 0.5 to 99 years (mean: 52.9 years) with unexplained critical COVID-19 pneumonia. None of the 331 asymptomatically or mildly infected male individuals aged 1.3 to 102 years (mean: 38.7 years) tested carry such TLR7 variants (p = 3.5 × 10-5). The phenotypes of five hemizygous relatives of index cases infected with SARS-CoV-2 include asymptomatic or mild infection (n=2, 5 and 38 years), or moderate (n=1, 5 years), severe (n=1, 27 years), or critical (n=1, 29 years) pneumonia. Two boys (aged 7 and 12 years) from a cohort of 262 male patients with severe COVID-19 pneumonia (mean: 51.0 years) are hemizygous for a deleterious TLR7 variant. The cumulative allele frequency for deleterious TLR7 variants in the male general population is < 6.5x10-4 We also show that blood B cell lines and myeloid cell subsets from the patients do not respond to TLR7 stimulation, a phenotype rescued by wild-type TLR7 The patients' blood plasmacytoid dendritic cells (pDCs) produce low levels of type I IFNs in response to SARS-CoV-2. Overall, X-linked recessive TLR7 deficiency is a highly penetrant genetic etiology of critical COVID-19 pneumonia, in about 1.8% of male patients below the age of 60 years. Human TLR7 and pDCs are essential for protective type I IFN immunity against SARS-CoV-2 in the respiratory tract. Funding: The Laboratory of Human Genetics of Infectious Diseases is supported by the Howard Hughes Medical Institute, Rockefeller University; the St. Giles Foundation; the NIH (R01AI088364), the National Center for Advancing Translational Sciences (NCATS); NIH Clinical and Translational Science Award (CTSA) program (UL1TR001866); a Fast Grant from Emergent Ventures; Mercatus Center at the George Mason University; the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956); the Meyer Foundation; the JPB Foundation; the French National Research Agency (ANR) under the “Investments for the Future” program (ANR-10-IAHU-01) and the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID); the French Foundation for Medical Research (FRM) (EQU201903007798); the FRM and ANR GENCOVID project, the ANRS-COV05, ANR GENVIR (ANR-20-CE93-003), and ANR AABIFNCOV (ANR-20-CO11-0001) projects; the European Union’s Horizon 2020 Research and Innovation Program under grant agreement no. 824110 (EASI-genomics). The French COVID Cohort study group was sponsored by INSERM and supported by the REACTing consortium and by a grant from the French Ministry of Health (PHRC 20-0424). The Cov-Contact Cohort was supported by the REACTing consortium, the French Ministry of Health, and the European Commission (RECOVER WP 6). The Neurometabolic Diseases Laboratory received funding from the European Union’s Horizon 2020 Research and Innovation Program (EasiGenomics grant no. 824110 COVID-19/PID12342). A.P., R.P.d.D., C.R.-G., and C.F. were funded by Instituto de Salud Carlos III (COV20_01333 and COV20_01334), the Spanish Ministry of Science and Innovation (RTC-2017-6471-1; AEI/FEDER, UE), Fundación DISA (OA18/017), and Cabildo Insular de Tenerife (CGIEU0000219140 and “Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19”). The laboratories of G.N. and A.N. were supported by a grant awarded to Regione Lazio (PROGETTI DI GRUPPI DI RICERCA 2020) no. A0375-2020-36663, GecoBiomark. A. Amara’s laboratory was supported by ANR under the “Investments for the Future” program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the FRM (EQU202003010193), ANR (ANR-20-COVI-000 project IDISCOVR and ANR-20-CO11-0004 project FISHBP), and the University of Paris (Plan de Soutien Covid-19: RACPL20FIR01-COVID-SOUL). This work was supported, in part, by the Division of Intramural Research, NIAID, NIH (grants 1ZIAAI001265 to H.C.S. and ZIA AI001270 to L.D.N.). The G.C. laboratory was supported by the Italian Ministry of Health (grant COVID-2020-12371617) and the intramural COVID Host Genetics program. The J.L.F. laboratory was supported, in part, by the Coopération Scientifique France-Colciencias (ECOS-Nord/COLCIENCIAS/MEN/ICETEX; 806-2018) and Colciencias contract 713-2016 (no. 111574455633). The V.S. laboratory was supported by ANR DENDRISEPSIS (ANR-17-CE15-0003) and ANR APCOD (ANR-17-CE15-0003-01), a Fast Grant from the Mercatus Center, FRM, University of Paris PLAN D’URGENCE COVID19. The N.M. laboratory was supported by Sidra Medicine (SDR400048) and the Qatar National Research Fund (grant No. NPRP9-251-3-045)

Published
2021
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44. Relation between leptin serun with weight and body fat distribution in postmenopausal women.

Author

Barrios Y, Díaz N, Meertens L, Naddaf G, Solano L, Fernández M, Flores A, and González M

Abstract

Leptin is a peptidic hormone secreted by the fat tissue and plays an important role in body weight regulation. After menopause, weight gain increases as well as android-like obesity. Previous studies suggest a relationship between leptin level, body mass index (BMI) and fat distribution. Objective: To establish the relationships between serum leptin, BMI, waist circumference (WC), and waist/hip ratio (WHR). Methodology: 48 women under the age of 60 years and with amenorrhea for longer than one year were assessed. Leptin and estradiol (ELISA) levels were determined; normal values: 3.63-11.09 ng/mL and 0-65 pg/Ml. BMI (WHO), WC > 88 cm, and WHR > 0.80 were considered as indicators of cardiometabolic risk. Results: Mean age for the group was 54 +/- 3.9 years; leptin: 8.4 +/- 3.7 ng/mL, and estradiol: 17.6 +/- 10.0 pg/mL; BMI: 27.0 +/- 4.9 kg/m(2); WC: 86.2 +/- 8.6 cm; and WHR: 0.84 +/- 0.06. Twenty percent of the women had hyperleptinemia, 58.4% malnourishment due to excessive intake, 35% presented WC cardiovascular risk. The highest leptin value was found in obese women. There was no association between serum leptin levels and anthropometrical variables. There was a significantly positive correlation between weight, height, BMI, WC, hip circumference, and estradiol. Conclusions: Postmenopausal women presented a high prevalence of overweight/obesity, android-like body fat distribution and normal serum leptin levels. The group assessed is considered to be at risk for cardiometabolic diseases according to anthropometrical indicators. [ABSTRACT FROM AUTHOR]

Published
2010
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46. Alphavirus nsP3 organizes into tubular scaffolds essential for infection and the cytoplasmic granule architecture.

Author

Kril V, Hons M, Amadori C, Zimberger C, Couture L, Bouery Y, Burlaud-Gaillard J, Karpov A, Ptchelkine D, Thienel AL, Kümmerer BM, Desfosses A, Jones R, Roingeard P, Meertens L, Amara A, and Reguera J

Subjects
Humans, Animals, Alphavirus genetics, Alphavirus metabolism, Alphavirus physiology, Alphavirus ultrastructure, Chlorocebus aethiops, Models, Molecular, Viral Nonstructural Proteins metabolism, Viral Nonstructural Proteins genetics, Viral Nonstructural Proteins chemistry, Chikungunya virus genetics, Chikungunya virus metabolism, Chikungunya virus physiology, Cryoelectron Microscopy, Virus Replication, Cytoplasmic Granules metabolism, Cytoplasmic Granules ultrastructure, RNA, Viral metabolism, RNA, Viral genetics
Abstract

Alphaviruses, such as chikungunya virus (CHIKV), are mosquito-borne viruses that represent a significant threat to human health due to the current context of global warming. Efficient alphavirus infection relies on the activity of the non-structural protein 3 (nsP3), a puzzling multifunctional molecule whose role in infection remains largely unknown. NsP3 is a component of the plasma membrane-bound viral RNA replication complex (vRC) essential for RNA amplification and is also found in large cytoplasmic aggregates of unknown function . Here, we report the cryo-electron microscopy (cryo-EM) structure of the CHIKV nsP3 at 2.35 Å resolution. We show that nsP3 assembles into tubular structures made by a helical arrangement of its alphavirus unique domain (AUD). The nsP3 helical scaffolds are consistent with crown structures found on tomographic reconstructions of the mature viral RCs. In addition, nsP3 helices assemble into cytoplasmic granules organized in a network of tubular structures that contain viral genomic RNA and capsid as well as host factors required for productive infection. Structure-guided mutagenesis identified residues that prevent or disturb nsP3 assemblies, resulting in impaired viral replication or transcription. Altogether, our results reveal an unexpected nsP3-dependent molecular organization essential for different phases of alphavirus infection., (© 2024. The Author(s).)

Published
2024
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47. Proteomic analysis of SARS-CoV-2 particles unveils a key role of G3BP proteins in viral assembly.

Author

Murigneux E, Softic L, Aubé C, Grandi C, Judith D, Bruce J, Le Gall M, Guillonneau F, Schmitt A, Parissi V, Berlioz-Torrent C, Meertens L, Hansen MMK, and Gallois-Montbrun S

Subjects
Humans, Virus Replication, DNA Helicases metabolism, Proteomics, RNA Recognition Motif Proteins metabolism, RNA Helicases metabolism, Poly-ADP-Ribose Binding Proteins metabolism, Virus Assembly, Virion metabolism, SARS-CoV-2 metabolism, COVID-19 metabolism
Abstract

Considerable progress has been made in understanding the molecular host-virus battlefield during SARS-CoV-2 infection. Nevertheless, the assembly and egress of newly formed virions are less understood. To identify host proteins involved in viral morphogenesis, we characterize the proteome of SARS-CoV-2 virions produced from A549-ACE2 and Calu-3 cells, isolated via ultracentrifugation on sucrose cushion or by ACE-2 affinity capture. Bioinformatic analysis unveils 92 SARS-CoV-2 virion-associated host factors, providing a valuable resource to better understand the molecular environment of virion production. We reveal that G3BP1 and G3BP2 (G3BP1/2), two major stress granule nucleators, are embedded within virions and unexpectedly favor virion production. Furthermore, we show that G3BP1/2 participate in the formation of cytoplasmic membrane vesicles, that are likely virion assembly sites, consistent with a proviral role of G3BP1/2 in SARS-CoV-2 dissemination. Altogether, these findings provide new insights into host factors required for SARS-CoV-2 assembly with potential implications for future therapeutic targeting., (© 2024. The Author(s).)

Published
2024
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48. Genome-Wide CRISPR-Cas9 Screening for the Identification of Host Dependency Factors of Emerging Viruses.

Author

Meertens L, Couture L, and Amara A

Subjects
Humans, Virus Replication genetics, Host-Pathogen Interactions genetics, Gene Knockout Techniques, RNA, Guide, CRISPR-Cas Systems genetics, CRISPR-Cas Systems, Rift Valley fever virus genetics
Abstract

Like all the RNA viruses, Rift Valley fever virus (RVFV) encodes only few viral proteins and relies heavily on the host cellular machinery for productive infection. This dependence creates a potential "Achille's heel" that may be exploited to develop new approaches to treat RVFV infection. The recent development of lentiviral sgRNAs pool has enabled the creation of genome-scale CRISPR-Cas9 knockout libraries that has been used to identify host factors required for virus replication. In this chapter, we describe the preparation and execution of a pooled CRISPR-Cas9 loss-of-function screen using virus-induced cell death phenotypic readout. Using this technique, we outline a strategy for the identification of host factors essential for important human emerging viruses such as RVFV., (© 2024. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)

Published
2024
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49. Selection of Bis-Indolyl Pyridines and Triphenylamines as New Inhibitors of SARS-CoV-2 Cellular Entry by Modulating the Spike Protein/ACE2 Interfaces.

Author

Lapaillerie D, Charlier C, Guyonnet-Dupérat V, Murigneux E, Fernandes HS, Martins FG, Magalhães RP, Vieira TF, Richetta C, Subra F, Lebourgeois S, Charpentier C, Descamps D, Visseaux B, Weigel P, Favereaux A, Beauvineau C, Buron F, Teulade-Fichou MP, Routier S, Gallois-Montbrun S, Meertens L, Delelis O, Sousa SF, and Parissi V

Subjects
Angiotensin-Converting Enzyme 2, Humans, Molecular Docking Simulation, Peptidyl-Dipeptidase A chemistry, Peptidyl-Dipeptidase A metabolism, Peptidyl-Dipeptidase A pharmacology, Protein Binding, Pyridines pharmacology, Spike Glycoprotein, Coronavirus metabolism, Virus Internalization, SARS-CoV-2, COVID-19 Drug Treatment
Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the infectious agent that has caused the current coronavirus disease (COVID) pandemic. Viral infection relies on the viral S (spike) protein/cellular receptor ACE2 interaction. Disrupting this interaction would lead to early blockage of viral replication. To identify chemical tools to further study these functional interfaces, 139,146 compounds from different chemical libraries were screened through an S/ACE2 in silico virtual molecular model. The best compounds were selected for further characterization using both cellular and biochemical approaches, reiterating SARS-CoV-2 entry and the S/ACE2 interaction. We report here two selected hits, bis-indolyl pyridine AB-00011778 and triphenylamine AB-00047476. Both of these compounds can block the infectivity of lentiviral vectors pseudotyped with the SARS-CoV-2 S protein as well as wild-type and circulating variant SARS-CoV-2 strains in various human cell lines, including pulmonary cells naturally susceptible to infection. AlphaLISA and biolayer interferometry confirmed a direct inhibitory effect of these drugs on the S/ACE2 association. A specific study of the AB-00011778 inhibitory properties showed that this drug inhibits viral replication with a 50% effective concentration (EC 50 ) between 0.1 and 0.5 μM depending on the cell lines. Molecular docking calculations of the interaction parameters of the molecules within the S/ACE2 complex from both wild-type and circulating variants of the virus showed that the molecules may target multiple sites within the S/ACE2 interface. Our work indicates that AB-00011778 constitutes a good tool for modulating this interface and a strong lead compound for further therapeutic purposes.

Published
2022
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50. Characterization and functional interrogation of the SARS-CoV-2 RNA interactome.

Author

Labeau A, Fery-Simonian L, Lefevre-Utile A, Pourcelot M, Bonnet-Madin L, Soumelis V, Lotteau V, Vidalain PO, Amara A, and Meertens L

Subjects
Humans, Pandemics, SARS-CoV-2 genetics, Virus Replication genetics, COVID-19 genetics, RNA, Viral genetics
Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the COVID-19 pandemic, which has led to a devastating global health crisis. The emergence of variants that escape neutralizing responses emphasizes the urgent need to deepen our understanding of SARS-CoV-2 biology. Using a comprehensive identification of RNA-binding proteins (RBPs) by mass spectrometry (ChIRP-MS) approach, we identify 107 high-confidence cellular factors that interact with the SARS-CoV-2 genome during infection. By systematically knocking down their expression in human lung epithelial cells, we find that the majority of the identified RBPs are SARS-CoV-2 proviral factors. In particular, we show that HNRNPA2B1, ILF3, QKI, and SFPQ interact with the SARS-CoV-2 genome and promote viral RNA amplification. Our study provides valuable resources for future investigations into the mechanisms of SARS-CoV-2 replication and the identification of host-centered antiviral therapies., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2022
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