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10. Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders

Author

Wang T., Hoekzema K., Vecchio D., Wu H., Sulovari A., Coe B. P., Gillentine M. A., Wilfert A. B., Perez-Jurado L. A., Kvarnung M., Sleyp Y., Earl R. K., Rosenfeld J. A., Geisheker M. R., Han L., Du B., Barnett C., Thompson E., Shaw M., Carroll R., Friend K., Catford R., Palmer E. E., Zou X., Ou J., Li H., Guo H., Gerdts J., Avola E., Calabrese G., Elia M., Greco D., Lindstrand A., Nordgren A., Anderlid B. -M., Vandeweyer G., Van Dijck A., Van der Aa N., McKenna B., Hancarova M., Bendova S., Havlovicova M., Malerba G., Bernardina B. D., Muglia P., van Haeringen A., Hoffer M. J. V., Franke B., Cappuccio G., Delatycki M., Lockhart P. J., Manning M. A., Liu P., Scheffer I. E., Brunetti Pierri N., Rommelse N., Amaral D. G., Santen G. W. E., Trabetti E., Sedlacek Z., Michaelson J. J., Pierce K., Courchesne E., Kooy R. F., Acampado J., Ace A. J., Amatya A., Astrovskaya I., Bashar A., Brooks E., Butler M. E., Cartner L. A., Chin W., Chung W. K., Daniels A. M., Feliciano P., Fleisch C., Ganesan S., Jensen W., Lash A. E., Marini R., Myers V. J., O'Connor E., Rigby C., Robertson B. E., Shah N., Shah S., Singer E., Snyder L. A. G., Stephens A. N., Tjernagel J., Vernoia B. M., Volfovsky N., White L. C., Hsieh A., Shen Y., Zhou X., Turner T. N., Bahl E., Thomas T. R., Brueggeman L., Koomar T., Michael R. J., O'Roak B. J., Barnard R. A., Gibbs R. A., Muzny D., Sabo A., Ahmed K. L. B., Eichler E. E., Siegel M., Abbeduto L., Hilscher B. A., Li D., Smith K., Thompson S., Albright C., Butter E. M., Eldred S., Hanna N., Jones M., Coury D. L., Scherr J., Pifher T., Roby E., Dennis B., Higgins L., Brown M., Alessandri M., Gutierrez A., Hale M. N., Herbert L. M., Schneider H. L., David G., Annett R. D., Sarver D. E., Arriaga I., Camba A., Gulsrud A. C., Haley M., McCracken J. T., Sandhu S., Tafolla M., Yang W. S., Carpenter L. A., Bradley C. C., Gwynette F., Manning P., Shaffer R., Thomas C., Bernier R. A., Fox E. A., Gerdts J. A., Pepper M., Ho T., Cho D., Piven J., Lechniak H., Soorya L. V., Gordon R., Wainer A., Yeh L., Ochoa-Lubinoff C., Russo N., Berry-Kravis E., Booker S., Erickson C. A., Prock L. M., Pawlowski K. G., Matthews E. T., Brewster S. J., Hojlo M. A., Abada E., Lamarche E., Murali S. C., Harvey W. T., Kaplan H. E., Pierce K. L., DeMarco L., Horner S., Pandey J., Plate S., Sahin M., Riley K. D., Carmody E., Constantini J., Esler A., Fatemi A., Hutter H., Landa R. J., McKenzie A. P., Neely J., Singh V., Van Metre B., Wodka E. L., Fombonne E. J., Huang-Storms L. Y., Pacheco L. D., Mastel S. A., Coppola L. A., Francis S., Jarrett A., Jacob S., Lillie N., Gunderson J., Istephanous D., Simon L., Wasserberg O., Rachubinski A. L., Rosenberg C. R., Kanne S. M., Shocklee A. D., Takahashi N., Bridwell S. L., Klimczac R. L., Mahurin M. A., Cotrell H. E., Grant C. A., Hunter S. G., Martin C. L., Taylor C. M., Walsh L. K., Dent K. A., Mason A., Sziklay A., Smith C. J., Nordenskjold M., Romano C., Peeters H., Gecz J., Xia K., SPARK Consortium, Wang, T., Hoekzema, K., Vecchio, D., Wu, H., Sulovari, A., Coe, B. P., Gillentine, M. A., Wilfert, A. B., Perez-Jurado, L. A., Kvarnung, M., Sleyp, Y., Earl, R. K., Rosenfeld, J. A., Geisheker, M. R., Han, L., Du, B., Barnett, C., Thompson, E., Shaw, M., Carroll, R., Friend, K., Catford, R., Palmer, E. E., Zou, X., Ou, J., Li, H., Guo, H., Gerdts, J., Avola, E., Calabrese, G., Elia, M., Greco, D., Lindstrand, A., Nordgren, A., Anderlid, B. -M., Vandeweyer, G., Van Dijck, A., Van der Aa, N., Mckenna, B., Hancarova, M., Bendova, S., Havlovicova, M., Malerba, G., Bernardina, B. D., Muglia, P., van Haeringen, A., Hoffer, M. J. V., Franke, B., Cappuccio, G., Delatycki, M., Lockhart, P. J., Manning, M. A., Liu, P., Scheffer, I. E., Brunetti Pierri, N., Rommelse, N., Amaral, D. G., Santen, G. W. E., Trabetti, E., Sedlacek, Z., Michaelson, J. J., Pierce, K., Courchesne, E., Kooy, R. F., Acampado, J., Ace, A. J., Amatya, A., Astrovskaya, I., Bashar, A., Brooks, E., Butler, M. E., Cartner, L. A., Chin, W., Chung, W. K., Daniels, A. M., Feliciano, P., Fleisch, C., Ganesan, S., Jensen, W., Lash, A. E., Marini, R., Myers, V. J., O'Connor, E., Rigby, C., Robertson, B. E., Shah, N., Shah, S., Singer, E., Snyder, L. A. G., Stephens, A. N., Tjernagel, J., Vernoia, B. M., Volfovsky, N., White, L. C., Hsieh, A., Shen, Y., Zhou, X., Turner, T. N., Bahl, E., Thomas, T. R., Brueggeman, L., Koomar, T., Michael, R. J., O'Roak, B. J., Barnard, R. A., Gibbs, R. A., Muzny, D., Sabo, A., Ahmed, K. L. B., Eichler, E. E., Siegel, M., Abbeduto, L., Hilscher, B. A., Li, D., Smith, K., Thompson, S., Albright, C., Butter, E. M., Eldred, S., Hanna, N., Jones, M., Coury, D. L., Scherr, J., Pifher, T., Roby, E., Dennis, B., Higgins, L., Brown, M., Alessandri, M., Gutierrez, A., Hale, M. N., Herbert, L. M., Schneider, H. L., David, G., Annett, R. D., Sarver, D. E., Arriaga, I., Camba, A., Gulsrud, A. C., Haley, M., Mccracken, J. T., Sandhu, S., Tafolla, M., Yang, W. S., Carpenter, L. A., Bradley, C. C., Gwynette, F., Manning, P., Shaffer, R., Thomas, C., Bernier, R. A., Fox, E. A., Gerdts, J. A., Pepper, M., Ho, T., Cho, D., Piven, J., Lechniak, H., Soorya, L. V., Gordon, R., Wainer, A., Yeh, L., Ochoa-Lubinoff, C., Russo, N., Berry-Kravis, E., Booker, S., Erickson, C. A., Prock, L. M., Pawlowski, K. G., Matthews, E. T., Brewster, S. J., Hojlo, M. A., Abada, E., Lamarche, E., Murali, S. C., Harvey, W. T., Kaplan, H. E., Pierce, K. L., Demarco, L., Horner, S., Pandey, J., Plate, S., Sahin, M., Riley, K. D., Carmody, E., Constantini, J., Esler, A., Fatemi, A., Hutter, H., Landa, R. J., Mckenzie, A. P., Neely, J., Singh, V., Van Metre, B., Wodka, E. L., Fombonne, E. J., Huang-Storms, L. Y., Pacheco, L. D., Mastel, S. A., Coppola, L. A., Francis, S., Jarrett, A., Jacob, S., Lillie, N., Gunderson, J., Istephanous, D., Simon, L., Wasserberg, O., Rachubinski, A. L., Rosenberg, C. R., Kanne, S. M., Shocklee, A. D., Takahashi, N., Bridwell, S. L., Klimczac, R. L., Mahurin, M. A., Cotrell, H. E., Grant, C. A., Hunter, S. G., Martin, C. L., Taylor, C. M., Walsh, L. K., Dent, K. A., Mason, A., Sziklay, A., Smith, C. J., Nordenskjold, M., Romano, C., Peeters, H., Gecz, J., and Xia, K.

Subjects
0301 basic medicine, Male, CCCTC-Binding Factor, Transcription Factor, Basic Helix-Loop-Helix Transcription Factor, DNA Mutational Analysis, General Physics and Astronomy, RNA-Binding Protein, Heterogeneous-Nuclear Ribonucleoprotein U, VARIANTS, medicine.disease_cause, Cohort Studies, 0302 clinical medicine, Neurodevelopmental Disorder, Basic Helix-Loop-Helix Transcription Factors, SPARK Consortium, 2.1 Biological and endogenous factors, Copy-number variation, Aetiology, lcsh:Science, GABRG2, Genetics, Mutation, Multidisciplinary, biology, Neurodevelopmental disorders, RNA-Binding Proteins, High-Throughput Nucleotide Sequencing, Autism spectrum disorders, Multidisciplinary Sciences, DNA-Binding Proteins, Science & Technology - Other Topics, Female, Case-Control Studie, Engineering sciences. Technology, Human, Science, DNA-Binding Protein, Genetic Association Studie, COPY-NUMBER VARIATION, General Biochemistry, Genetics and Molecular Biology, DNA sequencing, Article, KCNQ3 Potassium Channel, DNA Mutational Analysi, 03 medical and health sciences, medicine, Humans, Genetic Predisposition to Disease, AUTISM, Gene, Genetic Association Studies, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Science & Technology, DISABILITY, Prevention, Case-control study, General Chemistry, Repressor Protein, medicine.disease, FRAMEWORK, Repressor Proteins, DE-NOVO MUTATION, 030104 developmental biology, CTCF, Neurodevelopmental Disorders, Case-Control Studies, biology.protein, Next-generation sequencing, Autism, lcsh:Q, Cohort Studie, 030217 neurology & neurosurgery, Transcription Factors
Abstract

Most genes associated with neurodevelopmental disorders (NDDs) were identified with an excess of de novo mutations (DNMs) but the significance in case–control mutation burden analysis is unestablished. Here, we sequence 63 genes in 16,294 NDD cases and an additional 62 genes in 6,211 NDD cases. By combining these with published data, we assess a total of 125 genes in over 16,000 NDD cases and compare the mutation burden to nonpsychiatric controls from ExAC. We identify 48 genes (25 newly reported) showing significant burden of ultra-rare (MAF, For many neurodevelopmental disorder (NDD) risk genes, the significance for mutational burden is unestablished. Here, the authors sequence 125 candidate NDD genes in over 16,000 NDD cases; case-control mutational burden analysis identifies 48 genes with a significant burden of severe ultra-rare mutations.

Published
2020

11. Fatty acids in the de novo lipogenesis pathway and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies.

Author

Imamura F., Fretts A.M., Marklund M., Ardisson Korat A.V., Yang W.-S., Lankinen M., Qureshi W., Helmer C., Chen T.-A., Virtanen J.K., Wong K., Bassett J.K., Murphy R., Tintle N., Yu C.I., Brouwer I.A., Chien K.-L., Chen Y.-Y., Wood A.C., del Gobbo L.C., Djousse L., Geleijnse J.M., Giles G.G., de Goede J., Gudnason V., Harris W.S., Hodge A., Hu F., Koulman A., Laakso M., Lind L., Lin H.-J., McKnight B., Rajaobelina K., Riserus U., Robinson J.G., Samieri C., Senn M., Siscovick D.S., Soedamah-Muthu S.S., Sotoodehnia N., Sun Q., Tsai M.Y., Tuomainen T.-P., Uusitupa M., Wagenknecht L.E., Wareham N.J., Wu J.H.Y., Micha R., Lemaitre R.N., Mozaffarian D., Forouhi N.G., Imamura F., Fretts A.M., Marklund M., Ardisson Korat A.V., Yang W.-S., Lankinen M., Qureshi W., Helmer C., Chen T.-A., Virtanen J.K., Wong K., Bassett J.K., Murphy R., Tintle N., Yu C.I., Brouwer I.A., Chien K.-L., Chen Y.-Y., Wood A.C., del Gobbo L.C., Djousse L., Geleijnse J.M., Giles G.G., de Goede J., Gudnason V., Harris W.S., Hodge A., Hu F., Koulman A., Laakso M., Lind L., Lin H.-J., McKnight B., Rajaobelina K., Riserus U., Robinson J.G., Samieri C., Senn M., Siscovick D.S., Soedamah-Muthu S.S., Sotoodehnia N., Sun Q., Tsai M.Y., Tuomainen T.-P., Uusitupa M., Wagenknecht L.E., Wareham N.J., Wu J.H.Y., Micha R., Lemaitre R.N., Mozaffarian D., and Forouhi N.G.

Abstract

Background De novo lipogenesis (DNL) is the primary metabolic pathway synthesizing fatty acids from carbohydrates, protein, or alcohol. Our aim was to examine associations of in vivo levels of selected fatty acids (16:0, 16:1n7, 18:0, 18:1n9) in DNL with incidence of type 2 diabetes (T2D). Methods and findings Seventeen cohorts from 12 countries (7 from Europe, 7 from the United States, 1 from Australia, 1 from Taiwan; baseline years = 1970-1973 to 2006-2010) conducted harmonized individual-level analyses of associations of DNL-related fatty acids with incident T2D. In total, we evaluated 65,225 participants (mean ages = 52.3-75.5 years; % women = 20.4%-62.3% in 12 cohorts recruiting both sexes) and 15,383 incident cases of T2D over the 9-year follow-up on average. Cohort-specific association of each of 16:0, 16:1n7, 18:0, and 18:1n9 with incident T2D was estimated, adjusted for demographic factors, socioeconomic characteristics, alcohol, smoking, physical activity, dyslipidemia, hypertension, menopausal status, and adiposity. Cohort-specific associations were meta-analyzed with an inverse-variance-weighted approach. Each of the 4 fatty acids positively related to incident T2D. Relative risks (RRs) per cohort-specific range between midpoints of the top and bottom quintiles of fatty acid concentrations were 1.53 (1.41-1.66; p < 0.001) for 16:0, 1.40 (1.33-1.48; p < 0.001) for 16:1n-7, 1.14 (1.05-1.22; p = 0.001) for 18:0, and 1.16 (1.07-1.25; p < 0.001) for 18:1n9. Heterogeneity was seen across cohorts (I2 = 51.1%-73.1% for each fatty acid) but not explained by lipid fractions and global geographical regions. Further adjusted for triglycerides (and 16:0 when appropriate) to evaluate associations independent of overall DNL, the associations remained significant for 16:0, 16:1n7, and 18:0 but were attenuated for 18:1n9 (RR = 1.03, 95% confidence interval (CI) = 0.94-1.13). These findings had limitations in potential reverse causation and residual confounding by impreci

Published
2021

18. Author Correction: Large-scale targeted sequencing identifies risk genes for neurodevelopmental disorders (Nature Communications, (2020), 11, 1, (4932), 10.1038/s41467-020-18723-y)

Author

Wang, T., Hoekzema, K., Vecchio, Davide., Wu, H., Sulovari, A., Coe, B. P., Gillentine, M. A., Wilfert, A. B., Perez-Jurado, L. A., Kvarnung, M., Sleyp, Y., Earl, R. K., Rosenfeld, J. A., Geisheker, M. R., Han, L., Du, B., Barnett, C., Thompson, E., Shaw, M., Carroll, R., Friend, K., Catford, R., Palmer, E. E., Zou, X., Ou, J., Li, H., Guo, H., Gerdts, J., Avola, E., Calabrese, Giuseppe, Elia, Maurizio., Greco, Donatella, Lindstrand, A., Nordgren, A., Anderlid, B. -M., Vandeweyer, G., Van Dijck, A., Van der Aa, N., Mckenna, B., Hancarova, M., Bendova, S., Havlovicova, M., Malerba, G., Bernardina, B. D., Muglia, P., van Haeringen, A., Hoffer, M. J. V., Franke, B., Cappuccio, G., Delatycki, M., Lockhart, P. J., Manning, M. A., Liu, P., Scheffer, I. E., Brunetti-Pierri, N., Rommelse, N., Amaral, D. G., Santen, G. W. E., Trabetti, E., Sedlacek, Z., Michaelson, J. J., Pierce, K., Courchesne, E., Kooy, R. F., Acampado, J., Ace, A. J., Amatya, A., Astrovskaya, I., Bashar, A., Brooks, E., Butler, M. E., Cartner, L. A., Chin, W., Chung, W. K., Daniels, A. M., Feliciano, P., Fleisch, C., Ganesan, S., Jensen, W., Lash, A. E., Marini, R., Myers, V. J., O'Connor, E., Rigby, C., Robertson, B. E., Shah, N., Shah, S., Singer, E., Snyder, L. A. G., Stephens, A. N., Tjernagel, J., Vernoia, B. M., Volfovsky, N., White, L. C., Hsieh, A., Shen, Y., Zhou, X., Turner, T. N., Bahl, E., Thomas, T. R., Brueggeman, L., Koomar, T., O'Roak, B. J., Barnard, R. A., Gibbs, R. A., Muzny, D., Sabo, A., Ahmed, K. L. B., Eichler, E. E., Siegel, M., Abbeduto, L., Hilscher, B. A., Li, D., Smith, K., Thompson, S., Albright, C., Butter, E. M., Eldred, S., Hanna, N., Jones, M., Coury, D. L., Scherr, J., Pifher, T., Roby, E., Dennis, B., Higgins, L., Brown, M., Alessandri, M., Gutierrez, A., Hale, M. N., Herbert, L. M., Schneider, H. L., David, G., Annett, R. D., Sarver, D. E., Arriaga, I., Camba, A., Gulsrud, A. C., Haley, M., Mccracken, J. T., Sandhu, S., Tafolla, M., Yang, W. S., Carpenter, L. A., Bradley, C. C., Gwynette, F., Manning, P., Shaffer, R., Thomas, C., Bernier, R. A., Fox, E. A., Gerdts, J. A., Pepper, M., Ho, T., Cho, D., Piven, J., Lechniak, H., Soorya, L. V., Gordon, R., Wainer, A., Yeh, L., Ochoa-Lubinoff, C., Russo, N., Berry-Kravis, E., Booker, S., Erickson, C. A., Prock, L. M., Pawlowski, K. G., Matthews, E. T., Brewster, S. J., Hojlo, M. A., Abada, E., Lamarche, E., Murali, S. C., Harvey, W. T., Kaplan, H. E., Pierce, K. L., Demarco, L., Horner, S., Pandey, J., Plate, S., Sahin, M., Riley, K. D., Carmody, E., Constantini, J., Esler, A., Fatemi, A., Hutter, H., Landa, R. J., Mckenzie, A. P., Neely, J., Singh, V., Van Metre, B., Wodka, E. L., Fombonne, E. J., Huang-Storms, L. Y., Pacheco, L. D., Mastel, S. A., Coppola, L. A., Francis, S., Jarrett, A., Jacob, S., Lillie, N., Gunderson, J., Istephanous, D., Simon, L., Wasserberg, O., Rachubinski, A. L., Rosenberg, C. R., Kanne, S. M., Shocklee, A. D., Takahashi, N., Bridwell, S. L., Klimczac, R. L., Mahurin, M. A., Cotrell, H. E., Grant, C. A., Hunter, S. G., Martin, C. L., Taylor, C. M., Walsh, L. K., Dent, K. A., Mason, A., Sziklay, A., Smith, C. J., Nordenskjold, M., Romano, Corrado, Peeters, H., Gecz, J., and Xia, K.

Published
2020

20. Fatty acids in the de novo lipogenesis pathway and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies

Author

Lin, X, Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Chen, Y-Y, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, T-P, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, Forouhi, NG, Lin, X, Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Chen, Y-Y, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, T-P, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, and Forouhi, NG

Abstract

BACKGROUND: De novo lipogenesis (DNL) is the primary metabolic pathway synthesizing fatty acids from carbohydrates, protein, or alcohol. Our aim was to examine associations of in vivo levels of selected fatty acids (16:0, 16:1n7, 18:0, 18:1n9) in DNL with incidence of type 2 diabetes (T2D). METHODS AND FINDINGS: Seventeen cohorts from 12 countries (7 from Europe, 7 from the United States, 1 from Australia, 1 from Taiwan; baseline years = 1970-1973 to 2006-2010) conducted harmonized individual-level analyses of associations of DNL-related fatty acids with incident T2D. In total, we evaluated 65,225 participants (mean ages = 52.3-75.5 years; % women = 20.4%-62.3% in 12 cohorts recruiting both sexes) and 15,383 incident cases of T2D over the 9-year follow-up on average. Cohort-specific association of each of 16:0, 16:1n7, 18:0, and 18:1n9 with incident T2D was estimated, adjusted for demographic factors, socioeconomic characteristics, alcohol, smoking, physical activity, dyslipidemia, hypertension, menopausal status, and adiposity. Cohort-specific associations were meta-analyzed with an inverse-variance-weighted approach. Each of the 4 fatty acids positively related to incident T2D. Relative risks (RRs) per cohort-specific range between midpoints of the top and bottom quintiles of fatty acid concentrations were 1.53 (1.41-1.66; p < 0.001) for 16:0, 1.40 (1.33-1.48; p < 0.001) for 16:1n-7, 1.14 (1.05-1.22; p = 0.001) for 18:0, and 1.16 (1.07-1.25; p < 0.001) for 18:1n9. Heterogeneity was seen across cohorts (I2 = 51.1%-73.1% for each fatty acid) but not explained by lipid fractions and global geographical regions. Further adjusted for triglycerides (and 16:0 when appropriate) to evaluate associations independent of overall DNL, the associations remained significant for 16:0, 16:1n7, and 18:0 but were attenuated for 18:1n9 (RR = 1.03, 95% confidence interval (CI) = 0.94-1.13). These findings had limitations in potential reverse causation and residual confounding by impre

Published
2020

29. An electromagnetic separation system for the enrichment of 39Ar

Author

Jia, Z. H., primary, Tong, Amin. L., additional, Sun, L. T., additional, Liu, Y. G., additional, Liu, J. L., additional, Wu, Q., additional, Fang, X., additional, Yang, W. S., additional, Guo, Y. H., additional, Ritterbusch, F., additional, Lu, Z.-T., additional, Jiang, W., additional, Yang, G. M., additional, and Chen, Q. W., additional

Published
2020
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33. Biomarkers of Dietary Omega-6 Fatty Acids and Incident Cardiovascular Disease and Mortality

Author

MARKLUND, M., WU, J. H. Y., IMAMURA, F., DEL GOBBO, L. C., FRETTS, A., DE GOEDE, J., Shi, P., TINTLE, N., WENNBERG, M., ASLIBEKYAN, S., CHEN, T. A., DE OLIVEIRA OTTO, M. C., Hirakawa, Y., ERIKSEN, H. H., KROGER, J., LAGUZZI, F., LANKINEN, M., Murphy, R. A., PREM, K., Samieri, C., Virtanen, J., WOOD, A. C., Wong, K., YANG, W. S., Zhou, X., BAYLIN, A., BOER, J. M. A., BROUWER, I. A., Campos, H., CHAVES, P. H. M., CHIEN, K. L., DE FAIRE, U., DJOUSSE, L., EIRIKSDOTTIR, G., EL-ABBADI, N., FOROUHI, N. G., MICHAEL GAZIANO, J., GELEIJNSE, J. M., GIGANTE, B., GILES, G., GUALLAR, E., GUDNASON, V., HARRIS, T., HARRIS, W. S., Helmer, Catherine, HELLENIUS, M. L., Hodge, A., Hu, F. B., JACQUES, P. F., JANSSON, J. H., Kalsbeek, A., Khaw, K. T., Koh, W. P., Laakso, M., LEANDER, K., LIN, H. J., LIND, L., LUBEN, R., Luo, J., MCKNIGHT, B., MURSU, J., Ninomiya, T., Overvad, K., PSATY, B. M., RIMM, E., SCHULZE, M. B., SISCOVICK, D., SKJELBO NIELSEN, M., SMITH, A. V., STEFFEN, B. T., STEFFEN, L., Sun, Q., SUNDSTROM, J., TSAI, M. Y., TUNSTALL-PEDOE, H., UUSITUPA, M. I. J., VAN DAM, R. M., VEENSTRA, J., MONIQUE VERSCHUREN, W. M., Wareham, N., WILLETT, W., Woodward, M., Yuan, J. M., Micha, R., LEMAITRE, R. N., Mozaffarian, D., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, LEHA
Abstract

International audience; BACKGROUND: Global dietary recommendations for and cardiovascular effects of linoleic acid, the major dietary omega-6 fatty acid, and its major metabolite, arachidonic acid, remain controversial. To address this uncertainty and inform international recommendations, we evaluated how in vivo circulating and tissue levels of linoleic acid (LA) and arachidonic acid (AA) relate to incident cardiovascular disease (CVD) across multiple international studies. METHODS: We performed harmonized, de novo, individual-level analyses in a global consortium of 30 prospective observational studies from 13 countries. Multivariable-adjusted associations of circulating and adipose tissue LA and AA biomarkers with incident total CVD and subtypes (coronary heart disease (CHD), ischemic stroke, cardiovascular mortality) were investigated according to a prespecified analytical plan. Levels of LA and AA, measured as % of total fatty acids, were evaluated linearly according to their interquintile range (i.e., the range between the mid-point of the first and fifth quintiles), and categorically by quintiles. Study-specific results were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by age, sex, race, diabetes, statin use, aspirin use, omega-3 levels, and fatty acid desaturase 1 genotype (when available). RESULTS: In 30 prospective studies with medians of follow-up ranging 2.5 to 31.9 years, 15,198 incident cardiovascular events occurred among 68,659 participants. Higher levels of LA were significantly associated with lower risks of total CVD, cardiovascular mortality, and ischemic stroke, with hazard ratios per interquintile range of 0.93 (95% CI: 0.88-0.99), 0.78 (0.70-0.85), and 0.88 (0.79-0.98), respectively, and nonsignificantly with lower CHD risk (0.94; 0.88-1.00). Relationships were similar for LA evaluated across quintiles. AA levels were not associated with higher risk of cardiovascular outcomes; comparing extreme quintiles, higher levels were associated with lower risk of total CVD (0.92; 0.86-0.99). No consistent heterogeneity by population subgroups was identified in the observed relationships. CONCLUSIONS: In pooled global analyses, higher in vivo circulating and tissue levels of LA and possibly AA were associated with lower risk of major cardiovascular events. These results support a favorable role for LA in CVD prevention.

Published
2019

38. Vertebral Artery Compression Syndrome

Author

Li, Q, Xie, P, Yang, W-S, Yan, B, Davis, S, Caplan, LR, Li, Q, Xie, P, Yang, W-S, Yan, B, Davis, S, and Caplan, LR

Abstract

Objective: We aim to propose the term "vertebral artery compression syndrome" to describe a group of patients with a variety of clinical symptoms caused by vertebral artery compression of the medulla or spinal cord. Methods: We conducted the prospective case study in a university teaching hospital. Eleven patients who fulfilled the diagnostic criteria of vertebral artery compression syndrome and 22 age- and sex- matched controls were recruited. Clinical presentation and radiological findings of patients with vertebral artery compression syndrome were assessed and recorded. The basilar artery diameter was measured at the midpons level on T2 weighted MR images and compared between both groups. Results: Medullary compression was observed in 10 of 11 patients. The most common clinical presentation is dizziness, vertigo, imbalance, or ataxia followed by limb weakness. Cervical spinal cord compression was observed in one patient who presented with neck pain and left leg weakness. The mean basilar artery diameter was similar between patients and controls (3.95 ± 0.41 vs. 3.81 ± 0.43 mm). Conclusions: Vertebral artery compression of medulla and spinal cord may cause various clinical symptoms. Future studies are needed to further clarify the prevalence, natural history and treatment of this condition.

Published
2019

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