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2. Identifying cellular markers of focal cortical dysplasia type II with cell-type deconvolution and single-cell signatures.

Author

Galvão, IC, Kandratavicius, L, Messias, LA, Athié, MCP, Assis-Mendonça, GR, Alvim, MKM, Ghizoni, E, Tedeschi, H, Yasuda, CL, Cendes, F, Vieira, AS, Rogerio, F, Lopes-Cendes, I, Veiga, DFT, Galvão, IC, Kandratavicius, L, Messias, LA, Athié, MCP, Assis-Mendonça, GR, Alvim, MKM, Ghizoni, E, Tedeschi, H, Yasuda, CL, Cendes, F, Vieira, AS, Rogerio, F, Lopes-Cendes, I, and Veiga, DFT

Abstract

Focal cortical dysplasia (FCD) is a brain malformation that causes medically refractory epilepsy. FCD is classified into three categories based on structural and cellular abnormalities, with FCD type II being the most common and characterized by disrupted organization of the cortex and abnormal neuronal development. In this study, we employed cell-type deconvolution and single-cell signatures to analyze bulk RNA-seq from multiple transcriptomic studies, aiming to characterize the cellular composition of brain lesions in patients with FCD IIa and IIb subtypes. Our deconvolution analyses revealed specific cellular changes in FCD IIb, including neuronal loss and an increase in reactive astrocytes (astrogliosis) when compared to FCD IIa. Astrogliosis in FCD IIb was further supported by a gene signature analysis and histologically confirmed by glial fibrillary acidic protein (GFAP) immunostaining. Overall, our findings demonstrate that FCD II subtypes exhibit differential neuronal and glial compositions, with astrogliosis emerging as a hallmark of FCD IIb. These observations, validated in independent patient cohorts and confirmed using immunohistochemistry, offer novel insights into the involvement of glial cells in FCD type II pathophysiology and may contribute to the development of targeted therapies for this condition.

Published
2023

6. The ILAE consensus classification of focal cortical dysplasia: An update proposed by an ad hoc task force of the ILAE diagnostic methods commission

Author

Najm, I, Lal, D, Alonso Vanegas, M, Cendes, F, Lopes-Cendes, I, Palmini, A, Paglioli, E, Sarnat, HB, Walsh, CA, Wiebe, S, Aronica, E, Baulac, S, Coras, R, Kobow, K, Cross, JH, Garbelli, R, Holthausen, H, Rossler, K, Thom, M, El-Osta, A, Lee, JH, Miyata, H, Guerrini, R, Piao, Y-S, Zhou, D, Bluemcke, I, Najm, I, Lal, D, Alonso Vanegas, M, Cendes, F, Lopes-Cendes, I, Palmini, A, Paglioli, E, Sarnat, HB, Walsh, CA, Wiebe, S, Aronica, E, Baulac, S, Coras, R, Kobow, K, Cross, JH, Garbelli, R, Holthausen, H, Rossler, K, Thom, M, El-Osta, A, Lee, JH, Miyata, H, Guerrini, R, Piao, Y-S, Zhou, D, and Bluemcke, I

Abstract

Ongoing challenges in diagnosing focal cortical dysplasia (FCD) mandate continuous research and consensus agreement to improve disease definition and classification. An International League Against Epilepsy (ILAE) Task Force (TF) reviewed the FCD classification of 2011 to identify existing gaps and provide a timely update. The following methodology was applied to achieve this goal: a survey of published literature indexed with ((Focal Cortical Dysplasia) AND (epilepsy)) between 01/01/2012 and 06/30/2021 (n = 1349) in PubMed identified the knowledge gained since 2012 and new developments in the field. An online survey consulted the ILAE community about the current use of the FCD classification scheme with 367 people answering. The TF performed an iterative clinico-pathological and genetic agreement study to objectively measure the diagnostic gap in blood/brain samples from 22 patients suspicious for FCD and submitted to epilepsy surgery. The literature confirmed new molecular-genetic characterizations involving the mechanistic Target Of Rapamycin (mTOR) pathway in FCD type II (FCDII), and SLC35A2 in mild malformations of cortical development (mMCDs) with oligodendroglial hyperplasia (MOGHE). The electro-clinical-imaging phenotypes and surgical outcomes were better defined and validated for FCDII. Little new information was acquired on clinical, histopathological, or genetic characteristics of FCD type I (FCDI) and FCD type III (FCDIII). The survey identified mMCDs, FCDI, and genetic characterization as fields for improvement in an updated classification. Our iterative clinico-pathological and genetic agreement study confirmed the importance of immunohistochemical staining, neuroimaging, and genetic tests to improve the diagnostic yield. The TF proposes to include mMCDs, MOGHE, and "no definite FCD on histopathology" as new categories in the updated FCD classification. The histopathological classification can be further augmented by advanced neuroimaging and genetic s

Published
2022

9. Modulating Expression of Endogenous Interleukin 1 Beta in the Acute Phase of the Pilocarpine Model of Epilepsy May Change Animal Survival

Author

Pascoal, V. D. B., primary, Marchesini, R. B., additional, Athié, M. C. P., additional, Matos, A. H. B., additional, Conte, F. F., additional, Pereira, T. C., additional, Secolin, R., additional, Gilioli, R., additional, Malheiros, J. M., additional, Polli, R. S., additional, Tannús, A., additional, Covolan, L., additional, Pascoal, L. B., additional, Vieira, A. S., additional, Cavalheiro, E. A., additional, Cendes, F., additional, and Lopes-Cendes, I., additional

Published
2022
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11. Abnormalities of hippocampal signal intensity in patients with familial mesial temporal lobe epilepsy

Author

Coan A.C., Kobayashi E., Lopes-Cendes I., Li L.M., and Cendes F.

Subjects
Hippocampal signal abnormalities, Familial mesial temporal lobe epilepsy, Hippocampal volumetry, Magnetic resonance imaging, Medicine (General), R5-920, Biology (General), QH301-705.5
Abstract

Mesial temporal lobe epilepsy (MTLE) is associated with hippocampal atrophy and hippocampal signal abnormalities. In our series of familial MTLE (FMTLE), we found a high proportion of hippocampal abnormalities. To quantify signal abnormalities in patients with FMTLE we studied 152 individuals (46 of them asymptomatic) with FMTLE. We used NIH-Image® for volumetry and signal quantification in coronal T1 inversion recovery and T2 for all cross-sections of the hippocampus. Values diverging by 2 or more SD from the control mean were considered abnormal. T2 hippocampal signal abnormalities were found in 52% of all individuals: 54% of affected subjects and 48% of asymptomatic subjects. T1 hippocampal signal changes were found in 34% of all individuals: 42.5% of affected subjects and 15% of asymptomatic subjects. Analysis of the hippocampal head (first three slices) revealed T2 abnormalities in 73% of all individuals (74% of affected subjects and 72% of asymptomatic subjects) and T1 abnormalities in 59% (67% of affected subjects and 41% of asymptomatic subjects). Affected individuals had smaller volumes than controls (P < 0.0001). There was no difference in hippocampal volumes between asymptomatic subjects and controls, although 39% of asymptomatic patients had hippocampal atrophy. Patients with an abnormal hippocampal signal (133 individuals) had smaller ipsilateral volume, but no linear correlation could be determined. Hippocampal signal abnormalities in FMTLE were more frequently found in the hippocampal head in both affected and asymptomatic family members, including those with normal volumes. These results indicate that subtle abnormalities leading to an abnormal hippocampal signal in FMTLE are not necessarily related to seizures and may be determined by genetic factors.

Published
2004

18. The genetic architecture of the human cerebral cortex

Author

Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Ching, C.R., McMahon, M.A., Shatokhina, N., Zsembik, L.C.P., Thomopoulos, S.I., Zhu, A.H., Strike, L.T., Agartz, I., Alhusaini, S., Almeida, M.A. de, Alnaes, D., Amlien, I.K., Andersson, M., Ard, T., Armstrong, N.J., Ashley-Koch, A., Atkins, J.R., Bernard, M., Brouwer, R.M., Buimer, E.E.L., Bulow, R., Burger, C., Cannon, D.M., Chakravarty, M., Chen, Q., Cheung, J.W., Couvy-Duchesne, B., Dale, A.M., Dalvie, S., Araujo, T.K. de, Zubicaray, G.I. de, Zwarte, S.M.C. de, Braber, A., Doan, N.T., Dohm, K., Ehrlich, S., Engelbrecht, H.R., Erk, S., Fan, C.C., Fedko, I.O., Foley, S.F., Ford, J.M., Fukunaga, M., Garrett, M.E., Ge, T., Giddaluru, S., Goldman, A.L., Green, M.J., Groenewold, N.A., Grotegerd, D., Gurholt, T.P., Gutman, B.A., Hansell, N.K., Harris, Mark F., Harrison, M.B., Haswell, C.C., Hauser, M., Herms, S., Heslenfeld, D.J., Ho, N.F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J.J., Ikeda, M., Janowitz, D., Jansen, I.E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A.R., Kramer, B., Lam, M., Lancaster, T.M., Lee, P.H., Lett, T.A., Lewis, L.B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A.F., Mathias, S.R., Melzer, T.R., Milaneschi, Y., Franke, B., Thompson, P.M., Medland, S.E., Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Ching, C.R., McMahon, M.A., Shatokhina, N., Zsembik, L.C.P., Thomopoulos, S.I., Zhu, A.H., Strike, L.T., Agartz, I., Alhusaini, S., Almeida, M.A. de, Alnaes, D., Amlien, I.K., Andersson, M., Ard, T., Armstrong, N.J., Ashley-Koch, A., Atkins, J.R., Bernard, M., Brouwer, R.M., Buimer, E.E.L., Bulow, R., Burger, C., Cannon, D.M., Chakravarty, M., Chen, Q., Cheung, J.W., Couvy-Duchesne, B., Dale, A.M., Dalvie, S., Araujo, T.K. de, Zubicaray, G.I. de, Zwarte, S.M.C. de, Braber, A., Doan, N.T., Dohm, K., Ehrlich, S., Engelbrecht, H.R., Erk, S., Fan, C.C., Fedko, I.O., Foley, S.F., Ford, J.M., Fukunaga, M., Garrett, M.E., Ge, T., Giddaluru, S., Goldman, A.L., Green, M.J., Groenewold, N.A., Grotegerd, D., Gurholt, T.P., Gutman, B.A., Hansell, N.K., Harris, Mark F., Harrison, M.B., Haswell, C.C., Hauser, M., Herms, S., Heslenfeld, D.J., Ho, N.F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J.J., Ikeda, M., Janowitz, D., Jansen, I.E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A.R., Kramer, B., Lam, M., Lancaster, T.M., Lee, P.H., Lett, T.A., Lewis, L.B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A.F., Mathias, S.R., Melzer, T.R., Milaneschi, Y., Franke, B., Thompson, P.M., and Medland, S.E.

Abstract

Contains fulltext : 218611.pdf (Publisher’s version ) (Closed access), The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

Published
2020

19. The genetic architecture of the human cerebral cortex

Author

Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnæs, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bülow, R, Bürger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Doan, NT, Dohm, K, Ehrlich, S, Engelbrecht, HR, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, JJ, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Krämer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, Milaneschi, Y, Grasby, KL, Jahanshad, N, Painter, JN, Colodro-Conde, L, Bralten, J, Hibar, DP, Lind, PA, Pizzagalli, F, Ching, CRK, McMahon, MAB, Shatokhina, N, Zsembik, LCP, Thomopoulos, SI, Zhu, AH, Strike, LT, Agartz, I, Alhusaini, S, Almeida, MAA, Alnæs, D, Amlien, IK, Andersson, M, Ard, T, Armstrong, NJ, Ashley-Koch, A, Atkins, JR, Bernard, M, Brouwer, RM, Buimer, EEL, Bülow, R, Bürger, C, Cannon, DM, Chakravarty, M, Chen, Q, Cheung, JW, Couvy-Duchesne, B, Dale, AM, Dalvie, S, de Araujo, TK, de Zubicaray, GI, de Zwarte, SMC, den Braber, A, Doan, NT, Dohm, K, Ehrlich, S, Engelbrecht, HR, Erk, S, Fan, CC, Fedko, IO, Foley, SF, Ford, JM, Fukunaga, M, Garrett, ME, Ge, T, Giddaluru, S, Goldman, AL, Green, MJ, Groenewold, NA, Grotegerd, D, Gurholt, TP, Gutman, BA, Hansell, NK, Harris, MA, Harrison, MB, Haswell, CC, Hauser, M, Herms, S, Heslenfeld, DJ, Ho, NF, Hoehn, D, Hoffmann, P, Holleran, L, Hoogman, M, Hottenga, JJ, Ikeda, M, Janowitz, D, Jansen, IE, Jia, T, Jockwitz, C, Kanai, R, Karama, S, Kasperaviciute, D, Kaufmann, T, Kelly, S, Kikuchi, M, Klein, M, Knapp, M, Knodt, AR, Krämer, B, Lam, M, Lancaster, TM, Lee, PH, Lett, TA, Lewis, LB, Lopes-Cendes, I, Luciano, M, Macciardi, F, Marquand, AF, Mathias, SR, Melzer, TR, and Milaneschi, Y

Abstract

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.

Published
2020

21. Patterns of hippocampal abnormalities in malformations of cortical development

Author

Montenegro, M.A., Kinay, D., Cendes, F., Bernasconi, A., Bernasconi, N., Coan, A.C., Li, L.M., Guerreiro, M.M., Guerreiro, C.A.M., Lopes-Cendes, I., Andermann, E., Dubeau, F., and Andermann, F.

Subjects
Cerebral cortex -- Abnormalities, Hippocampus (Brain) -- Research, Hippocampus (Brain) -- Abnormalities, Nervous system -- Abnormalities, Nervous system -- Physiological aspects, Nervous system -- Research, Health, Psychology and mental health
Published
2006

27. Autosomal dominant nocturnal frontal-lobe epilepsy: genetic heterogeneity and evidence for a second locus at 15q24

Author

Phillips, H.A., Scheffer, I.E., Crossland, K.M., Bhatia, K.P., Fish, D.R., Marsden, C.D., Howell, S.J.L., Stephenson, J.B.P., Tolmie, J., Plazzi, G., Eeg-Olofsson, O., Singh, R., Lopes-Cendes, I., Andermann, E., Andermann, F., Berkovic, S.F., and Mulley, J.C.

Subjects
Epilepsy -- Research, Genetic disorders -- Research, Biological sciences
Abstract

Further research is needed to determine causal factors for autosomal dominant nocturnal frontal-lobe epilepsy. While evidence suggests a second locus for the disorder at chromosome 15q24 in addition to 20q13.2 with a clinically homogeneous phenotype, a wide range of molecular defects that contribute to the disorder are complicating accurate causal determination.

Published
1998

31. Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies

Author

Abou-Khalil, B, Auce, P, Avbersek, A, Bahlo, M, Balding, DJ, Bast, T, Baum, L, Becker, AJ, Becker, F, Berghuis, B, Berkovic, SF, Boysen, KE, Bradfield, JP, Brody, LC, Buono, RJ, Campbell, E, Cascino, GD, Catarino, CB, Cavalleri, GL, Cherny, SS, Chinthapalli, K, Coffey, AJ, Compston, A, Coppola, A, Cossette, P, Craig, JJ, de Haan, G-J, De Jonghe, P, de Kovel, CGF, Delanty, N, Depondt, C, Devinsky, O, Dlugos, DJ, Doherty, CP, Elger, CE, Eriksson, JG, Ferraro, TN, Feucht, M, Francis, B, Franke, A, French, JA, Freytag, S, Gaus, V, Geller, EB, Gieger, C, Glauser, T, Glynn, S, Goldstein, DB, Gui, H, Guo, Y, Haas, KF, Hakonarson, H, Hallmann, K, Haut, S, Heinzen, EL, Helbig, I, Hengsbach, C, Hjalgrim, H, Iacomino, M, Ingason, A, Jamnadas-Khoda, J, Johnson, MR, Kalviainen, R, Kantanen, A-M, Kasperaviciute, D, Trenite, DK-N, Kirsch, HE, Knowlton, RC, Koeleman, BPC, Krause, R, Krenn, M, Kunz, WS, Kuzniecky, R, Kwan, P, Lal, D, Lau, Y-L, Lehesjoki, A-E, Lerche, H, Leu, C, Lieb, W, Lindhout, D, Lo, WD, Lopes-Cendes, I, Lowenstein, DH, Malovini, A, Marson, AG, Mayer, T, McCormack, M, Mills, JL, Mirza, N, Moerzinger, M, Moller, RS, Molloy, AM, Muhle, H, Newton, M, Ng, P-W, Noethen, MM, Nuernberg, P, O'Brien, TJ, Oliver, KL, Palotie, A, Pangilinan, F, Peter, S, Petrovski, S, Poduri, A, Privitera, M, Radtke, R, Rau, S, Reif, PS, Reinthaler, EM, Rosenow, F, Sander, JW, Sander, T, Scattergood, T, Schachter, SC, Schankin, CJ, Scheffer, IE, Schmitz, B, Schoch, S, Sham, PC, Shih, JJ, Sills, GJ, Sisodiya, SM, Slattery, L, Smith, A, Smith, DF, Smith, MC, Smith, PE, Sonsma, ACM, Speed, D, Sperling, MR, Steinhoff, BJ, Stephani, U, Stevelink, R, Strauch, K, Striano, P, Stroink, H, Surges, R, Tan, KM, Thio, LL, Thomas, GN, Todaro, M, Tozzi, R, Vari, MS, Vining, EPG, Visscher, F, von Spiczak, S, Walley, NM, Weber, YG, Wei, Z, Weisenberg, J, Whelan, CD, Widdess-Walsh, P, Wolff, M, Wolking, S, Yang, W, Zara, F, Zimprich, F, Abou-Khalil, B, Auce, P, Avbersek, A, Bahlo, M, Balding, DJ, Bast, T, Baum, L, Becker, AJ, Becker, F, Berghuis, B, Berkovic, SF, Boysen, KE, Bradfield, JP, Brody, LC, Buono, RJ, Campbell, E, Cascino, GD, Catarino, CB, Cavalleri, GL, Cherny, SS, Chinthapalli, K, Coffey, AJ, Compston, A, Coppola, A, Cossette, P, Craig, JJ, de Haan, G-J, De Jonghe, P, de Kovel, CGF, Delanty, N, Depondt, C, Devinsky, O, Dlugos, DJ, Doherty, CP, Elger, CE, Eriksson, JG, Ferraro, TN, Feucht, M, Francis, B, Franke, A, French, JA, Freytag, S, Gaus, V, Geller, EB, Gieger, C, Glauser, T, Glynn, S, Goldstein, DB, Gui, H, Guo, Y, Haas, KF, Hakonarson, H, Hallmann, K, Haut, S, Heinzen, EL, Helbig, I, Hengsbach, C, Hjalgrim, H, Iacomino, M, Ingason, A, Jamnadas-Khoda, J, Johnson, MR, Kalviainen, R, Kantanen, A-M, Kasperaviciute, D, Trenite, DK-N, Kirsch, HE, Knowlton, RC, Koeleman, BPC, Krause, R, Krenn, M, Kunz, WS, Kuzniecky, R, Kwan, P, Lal, D, Lau, Y-L, Lehesjoki, A-E, Lerche, H, Leu, C, Lieb, W, Lindhout, D, Lo, WD, Lopes-Cendes, I, Lowenstein, DH, Malovini, A, Marson, AG, Mayer, T, McCormack, M, Mills, JL, Mirza, N, Moerzinger, M, Moller, RS, Molloy, AM, Muhle, H, Newton, M, Ng, P-W, Noethen, MM, Nuernberg, P, O'Brien, TJ, Oliver, KL, Palotie, A, Pangilinan, F, Peter, S, Petrovski, S, Poduri, A, Privitera, M, Radtke, R, Rau, S, Reif, PS, Reinthaler, EM, Rosenow, F, Sander, JW, Sander, T, Scattergood, T, Schachter, SC, Schankin, CJ, Scheffer, IE, Schmitz, B, Schoch, S, Sham, PC, Shih, JJ, Sills, GJ, Sisodiya, SM, Slattery, L, Smith, A, Smith, DF, Smith, MC, Smith, PE, Sonsma, ACM, Speed, D, Sperling, MR, Steinhoff, BJ, Stephani, U, Stevelink, R, Strauch, K, Striano, P, Stroink, H, Surges, R, Tan, KM, Thio, LL, Thomas, GN, Todaro, M, Tozzi, R, Vari, MS, Vining, EPG, Visscher, F, von Spiczak, S, Walley, NM, Weber, YG, Wei, Z, Weisenberg, J, Whelan, CD, Widdess-Walsh, P, Wolff, M, Wolking, S, Yang, W, Zara, F, and Zimprich, F

Abstract

The epilepsies affect around 65 million people worldwide and have a substantial missing heritability component. We report a genome-wide mega-analysis involving 15,212 individuals with epilepsy and 29,677 controls, which reveals 16 genome-wide significant loci, of which 11 are novel. Using various prioritization criteria, we pinpoint the 21 most likely epilepsy genes at these loci, with the majority in genetic generalized epilepsies. These genes have diverse biological functions, including coding for ion-channel subunits, transcription factors and a vitamin-B6 metabolism enzyme. Converging evidence shows that the common variants associated with epilepsy play a role in epigenetic regulation of gene expression in the brain. The results show an enrichment for monogenic epilepsy genes as well as known targets of antiepileptic drugs. Using SNP-based heritability analyses we disentangle both the unique and overlapping genetic basis to seven different epilepsy subtypes. Together, these findings provide leads for epilepsy therapies based on underlying pathophysiology.

Published
2018

32. Genetic variation in CFH predicts phenytoin-induced maculopapular exanthema in European-descent patients

Author

McCormack, M, Gui, H, Ingason, A, Speed, D, Wright, GEB, Zhang, EJ, Secolin, R, Yasuda, C, Kwok, M, Wolking, S, Becker, F, Rau, S, Avbersek, A, Heggeli, K, Leu, C, Depondt, C, Sills, GJ, Marson, AG, Auce, P, Brodie, MJ, Francis, B, Johnson, MR, Koeleman, BPC, Striano, P, Coppola, A, Zara, F, Kunz, WS, Sander, JW, Lerche, H, Klein, KM, Weckhuysen, S, Krenn, M, Gudmundsson, LJ, Stefansson, K, Krause, R, Shear, N, Ross, CJD, Delanty, N, Pirmohamed, M, Carleton, BC, Cendes, F, Lopes-Cendes, I, Liao, W-P, O'Brien, TJ, Sisodiya, SM, Cherny, S, Kwan, P, Baum, L, Cavalleri, GL, McCormack, M, Gui, H, Ingason, A, Speed, D, Wright, GEB, Zhang, EJ, Secolin, R, Yasuda, C, Kwok, M, Wolking, S, Becker, F, Rau, S, Avbersek, A, Heggeli, K, Leu, C, Depondt, C, Sills, GJ, Marson, AG, Auce, P, Brodie, MJ, Francis, B, Johnson, MR, Koeleman, BPC, Striano, P, Coppola, A, Zara, F, Kunz, WS, Sander, JW, Lerche, H, Klein, KM, Weckhuysen, S, Krenn, M, Gudmundsson, LJ, Stefansson, K, Krause, R, Shear, N, Ross, CJD, Delanty, N, Pirmohamed, M, Carleton, BC, Cendes, F, Lopes-Cendes, I, Liao, W-P, O'Brien, TJ, Sisodiya, SM, Cherny, S, Kwan, P, Baum, L, and Cavalleri, GL

Abstract

OBJECTIVE: To characterize, among European and Han Chinese populations, the genetic predictors of maculopapular exanthema (MPE), a cutaneous adverse drug reaction common to antiepileptic drugs. METHODS: We conducted a case-control genome-wide association study of autosomal genotypes, including Class I and II human leukocyte antigen (HLA) alleles, in 323 cases and 1,321 drug-tolerant controls from epilepsy cohorts of northern European and Han Chinese descent. Results from each cohort were meta-analyzed. RESULTS: We report an association between a rare variant in the complement factor H-related 4 (CFHR4) gene and phenytoin-induced MPE in Europeans (p = 4.5 × 10-11; odds ratio [95% confidence interval] 7 [3.2-16]). This variant is in complete linkage disequilibrium with a missense variant (N1050Y) in the complement factor H (CFH) gene. In addition, our results reinforce the association between HLA-A*31:01 and carbamazepine hypersensitivity. We did not identify significant genetic associations with MPE among Han Chinese patients. CONCLUSIONS: The identification of genetic predictors of MPE in CFHR4 and CFH, members of the complement factor H-related protein family, suggest a new link between regulation of the complement system alternative pathway and phenytoin-induced hypersensitivity in European-ancestral patients.

Published
2018

36. Developmental and neurodegenerative damage in Friedreich's ataxia.

Author

Rezende, T. J. R., Martinez, A. R. M., Faber, I., Girotto Takazaki, K. A., Martins, M. P., Lima, F. D., Lopes‐Cendes, I., Cendes, F., and França, M. C.

Abstract

Background and purpose: Friedreich's ataxia (FRDA) is the most common autosomal‐recessive ataxia worldwide. It is characterized by early onset, sensory abnormalities and slowly progressive ataxia. All magnetic resonance imaging (MRI)‐based studies have focused on the evaluation of adult patients. Therefore, we designed a cross‐sectional multimodal MRI‐based study to investigate the anatomical substrates involved in the early stages of FRDA. Methods: We enrolled 37 patients (12 children) and 38 controls. All subjects underwent MRI in a 3T device to assess gray and white matter. We used measures from FreeSurfer and CERES to evaluate the cerebral and cerebellar cortices. The T1 multiatlas assessed deep gray matter. The diffusion tensor imaging multiatlas was used to investigate microstructural abnormalities in brain white matter and SpineSeg was used to assess the cervical spinal cord. All analyses were corrected for multiple comparisons. Results: Comparison with age‐matched controls showed that pediatric patients have spinal cord, inferior cerebellar peduncle and red nucleus damage. In contrast, adult patients showed more widespread white matter damage than pediatric patients. With regard to gray matter, we found cortical thinning at the left central sulcus and volumetric reduction in the thalami and hippocampi only in adult patients. Finally, values of fractional anisotropy in adult patients and radial diffusivity in pediatric patients from the inferior cerebellar peduncle correlated with disease duration and ataxia severity, respectively. Conclusions: Structural damage in FRDA begins in the spinal cord and inferior cerebellar peduncle as well as the red nucleus, and progresses to cerebral areas in adulthood. These results shed some light on the early stages of FRDA and highlight potential neuroimaging markers for therapeutic trials. [ABSTRACT FROM AUTHOR]

Published
2019
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39. Mesial temporal lobe abnormalities in a family with 15q26qter trisomy

Author

Facchin, D., Kobayashi, E., Cendes, F., Steiner, C.E., Leone, A.A.A., Campos, N.L.V., and Lopes-Cendes, I.

Subjects
Genetic disorders -- Research, Human chromosome abnormalities -- Research, Human genetics -- Research, Trisomy -- Physiological aspects, Epilepsy -- Genetic aspects, Mental retardation -- Genetic aspects, Temporal lobes -- Abnormalities, Biological sciences
Published
2001

40. Ancestral Origins of the Machado-Joseph Disease Mutation: A Worldwide Haplotype Study

Author

Gaspar, C., Lopes-Cendes, I., Hayes, S., Goto, J., Arvidsson, K., Dias, A., Silveira, I., Maciel, P., Coutinho, P., Lima, M., Zhou, Y.-X., Soong, B.-W., Watanabe, M., Giunti, P., Stevanin, G., Riess, O., Sasaki, H., Hsieh, M., Nicholson, G. A., Brunt, E., Higgins, J. J., Lauritzen, M., Tranebjaerg, L., Volpini, V., Wood, N., Ranum, L., Tsuji, S., Brice, A., Sequeiros, J., and Rouleau, G. A.

Subjects
Diseases -- Genetic aspects, Cerebellar ataxia -- Genetic aspects, Haplotypes -- Physiological aspects, Nervous system -- Degeneration, Biological sciences
Published
2001

41. A New Locus for Generalized Epilepsy with Febrile Seizures Plus Maps to Chromosome 2

Author

Lopes-Cendes, I., Scheffer, I. E., Berkovic, S. F., Rousseau, M., Andermann, E., and Rouleau, G. A.

Subjects
Human genetics -- Research, Epilepsy -- Causes of, Genetic disorders -- Analysis, Phenotype -- Research, Spontaneous generation -- Analysis, Febrile convulsions -- Analysis, Genetic markers -- Research, Chromosome mapping -- Research, Biological sciences
Published
2000

44. RNA sequencing reveals region-specific molecular mechanisms associated with epileptogenesis in a model of classical hippocampal sclerosis

Author

Vieira, A. S., primary, de Matos, A. H., additional, do Canto, A. M., additional, Rocha, C. S., additional, Carvalho, B. S., additional, Pascoal, V. D. B., additional, Norwood, B., additional, Bauer, S., additional, Rosenow, F., additional, Gilioli, R., additional, Cendes, F., additional, and Lopes-Cendes, I., additional

Published
2016
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45. Genotype-Phenotype correlation in Dravet Syndrome with SCN1A mutation increase efficiency of molecular diagnosis

Author

Gonsales, MC, Preto, P, Montenegro, MA, Guerreiro, MM, and Lopes-Cendes, I

Subjects
canal de sódio, teste genético, mutações, mutations, genetic testing, sodium channel
Abstract

OBJECTIVES: The purpose of this study was to advance the knowledge on the clinical use of SCN1A testing for severe epilepsies within the spectrum of generalized epilepsy with febrile seizures plus by performing genetic screening in patients with Dravet and Doose syndromes and establishing genotype-phenotype correlations. METHODS: Mutation screening in SCN1A was performed in 15 patients with Dravet syndrome and 13 with Doose syndrome. Eight prediction algorithms were used to analyze the impact of the mutations in putative protein function. Furthermore, all SCN1A mutations previously published were compiled and analyzed. In addition, Multiplex Ligation-Dependent Probe Amplification (MLPA) technique was used to detect possible copy number variations within SCN1A. RESULTS: Twelve mutations were identified in patients with Dravet syndrome, while patients with Doose syndrome showed no mutations. Our results show that the most common type of mutation found is missense, and that they are mostly located in the pore region and the N- and C-terminal of the protein. No copy number variants in SCN1A were identified in our cohort. CONCLUSIONS: SCN1A testing is clinically useful for patients with Dravet syndrome, but not for those with Doose syndrome, since both syndromes do not seem to share the same genetic basis. Our results indicate that indeed missense mutations can cause severe phenotypes depending on its location and the type of amino-acid substitution. Moreover, our strategy for predicting deleterious effect of mutations using multiple computation algorithms was efficient for most of the mutations identified. OBJETIVOS: O propósito deste estudo foi ampliar o conhecimento acerca da aplicabilidade clínica do teste genético em SCN1A para fenótipos graves do espectro da epilepsia generalizada com crises febris plus por meio de triagem de mutações em pacientes com síndromes de Dravet e de Doose e estabelecimento de correlações genótipo-fenótipo. MÉTODOS: A triagem de mutações em SCN1A foi realizada em 15 pacientes com síndrome de Dravet e em 13 com síndrome de Doose. Oito algoritmos de predição foram utilizados para analisar o impacto das mutações na provável função proteica. Além disso, todas as mutações em SCN1A previamente publicadas foram compiladas e analisadas. A técnica de Multiplex Ligation-Dependent Probe Amplification (MLPA) também foi usada para detectar variações no número de cópias em SCN1A. RESULTADOS: Doze mutações foram identificadas em pacientes com síndrome de Dravet, enquanto pacientes com síndrome de Doose não apresentaram mutações. Nossos resultados mostram que mutações missense são as mais comuns, e estão localizadas predominantemente nas regiões do poro e porções C- e N-terminal da proteína. Não foram identificadas alterações no número de cópias de SCN1A em nossa casuística. CONCLUSÕES: O teste genético em SCN1A é de utilidade clínica para pacientes com síndrome de Dravet, mas não para os com síndrome de Doose, pois ambas as síndromes parecem não compartilhar a mesma base genética. Nossos resultados indicam que mutações missense podem causar fenótipos graves dependendo da localização e do tipo da substituição do aminoácido. Além disso, a análise de predição utilizando múltiplos algoritmos computacionais foi eficaz para a maioria das mutações.

Published
2012

49. 045 — (MAR0116) Tumor necrosis factor-alpha gene expression in the brain of Wistar audiogenic rats

Author

Martins, S.F., primary, Alves, F., additional, Cordeiro, L.M.S., additional, Doretto, M.C., additional, Fonseca, A.G.A.R., additional, Godard, A.L.B., additional, Lopes-Cendes, I., additional, Martins, A.S., additional, Massensini, A.R., additional, Matos, A.H.B., additional, Moraes, M.F.D., additional, Nascimento, D.R., additional, and Vieira, F.O., additional

Published
2014
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