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2. Balanced SET levels favor the correct enhancer repertoire during cell fate acquisition

Author

Zaghi, M, Banfi, F, Massimino, L, Volpin, M, Bellini, E, Brusco, S, Merelli, I, Barone, C, Bruni, M, Bossini, L, Lamparelli, L, Pintado, L, D'Aliberti, D, Spinelli, S, Mologni, L, Colasante, G, Ungaro, F, Cioni, J, Azzoni, E, Piazza, R, Montini, E, Broccoli, V, Sessa, A, Zaghi, Mattia, Banfi, Federica, Massimino, Luca, Volpin, Monica, Bellini, Edoardo, Brusco, Simone, Merelli, Ivan, Barone, Cristiana, Bruni, Michela, Bossini, Linda, Lamparelli, Luigi Antonio, Pintado, Laura, D'Aliberti, Deborah, Spinelli, Silvia, Mologni, Luca, Colasante, Gaia, Ungaro, Federica, Cioni, Jean-Michel, Azzoni, Emanuele, Piazza, Rocco, Montini, Eugenio, Broccoli, Vania, Sessa, Alessandro, Zaghi, M, Banfi, F, Massimino, L, Volpin, M, Bellini, E, Brusco, S, Merelli, I, Barone, C, Bruni, M, Bossini, L, Lamparelli, L, Pintado, L, D'Aliberti, D, Spinelli, S, Mologni, L, Colasante, G, Ungaro, F, Cioni, J, Azzoni, E, Piazza, R, Montini, E, Broccoli, V, Sessa, A, Zaghi, Mattia, Banfi, Federica, Massimino, Luca, Volpin, Monica, Bellini, Edoardo, Brusco, Simone, Merelli, Ivan, Barone, Cristiana, Bruni, Michela, Bossini, Linda, Lamparelli, Luigi Antonio, Pintado, Laura, D'Aliberti, Deborah, Spinelli, Silvia, Mologni, Luca, Colasante, Gaia, Ungaro, Federica, Cioni, Jean-Michel, Azzoni, Emanuele, Piazza, Rocco, Montini, Eugenio, Broccoli, Vania, and Sessa, Alessandro

Abstract

Within the chromatin, distal elements interact with promoters to regulate specific transcriptional programs. Histone acetylation, interfering with the net charges of the nucleosomes, is a key player in this regulation. Here, we report that the oncoprotein SET is a critical determinant for the levels of histone acetylation within enhancers. We disclose that a condition in which SET is accumulated, the severe Schinzel-Giedion Syndrome (SGS), is characterized by a failure in the usage of the distal regulatory regions typically employed during fate commitment. This is accompanied by the usage of alternative enhancers leading to a massive rewiring of the distal control of the gene transcription. This represents a (mal)adaptive mechanism that, on one side, allows to achieve a certain degree of differentiation, while on the other affects the fine and corrected maturation of the cells. Thus, we propose the differential in cis-regulation as a contributing factor to the pathological basis of SGS and possibly other the SET-related disorders in humans.

Published
2023

3. Influence of birth cohort on age of onset cluster analysis in bipolar I disorder

Author

Bauer, M., Glenn, T., Alda, M., Andreassen, O.A., Angelopoulos, E., Ardau, R., Baethge, C., Bauer, R., Bellivier, F., Belmaker, R.H., Berk, M., Bjella, T.D., Bossini, L., Bersudsky, Y., Cheung, E.Y.W., Conell, J., Del Zompo, M., Dodd, S., Etain, B., Fagiolini, A., Frye, M.A., Fountoulakis, K.N., Garneau-Fournier, J., Gonzalez-Pinto, A., Harima, H., Hassel, S., Henry, C., Iacovides, A., Isometsä, E.T., Kapczinski, F., Kliwicki, S., König, B., Krogh, R., Kunz, M., Lafer, B., Larsen, E.R., Lewitzka, U., Lopez-Jaramillo, C., MacQueen, G., Manchia, M., Marsh, W., Martinez-Cengotitabengoa, M., Melle, I., Monteith, S., Morken, G., Munoz, R., Nery, F.G., O’Donovan, C., Osher, Y., Pfennig, A., Quiroz, D., Ramesar, R., Rasgon, N., Reif, A., Ritter, P., Rybakowski, J.K., Sagduyu, K., Scippa, A.M., Severus, E., Simhandl, C., Stein, D.J., Strejilevich, S., Hatim Sulaiman, A., Suominen, K., Tagata, H., Tatebayashi, Y., Torrent, C., Vieta, E., Viswanath, B., Wanchoo, M.J., Zetin, M., and Whybrow, P.C.

Published
2015
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4. Solar insolation in springtime influences age of onset of bipolar I disorder

Author

Bauer, M., Glenn, T., Alda, M., Aleksandrovich, M. A., Andreassen, O. A., Angelopoulos, E., Ardau, R., Ayhan, Y., Baethge, C., Bharathram, S. R., Bauer, R., Baune, B. T., Becerra‐Palars, C., Bellivier, F., Belmaker, R. H., Berk, M., Bersudsky, Y., Bicakci, Ş., Birabwa‐Oketcho, H., Bjella, T. D., Bossini, L., Cabrera, J., Cheung, E. Y. W., Del Zompo, M., Dodd, S., Donix, M., Etain, B., Fagiolini, A., Fountoulakis, K. N., Frye, M. A., Gonzalez‐Pinto, A., Gottlieb, J. F., Grof, P., Harima, H., Henry, C., Isometsä, E. T., Janno, S., Kapczinski, F., Kardell, M., Khaldi, S., Kliwicki, S., König, B., Kot, T. L., Krogh, R., Kunz, M., Lafer, B., Landén, M., Larsen, E. R., Lewitzka, U., Licht, R. W., Lopez‐Jaramillo, C., MacQueen, G., Manchia, M., Marsh, W., Martinez‐Cengotitabengoa, M., Melle, I., Meza‐Urzúa, F., Yee Ming, M., Monteith, S., Morken, G., Mosca, E., Munoz, R., Mythri, S. V., Nacef, F., Nadella, R. K., Nery, F. G., Nielsen, R. E., OʼDonovan, C., Omrani, A., Osher, Y., Østermark Sørensen, H., Ouali, U., Pica Ruiz, Y., Pilhatsch, M., Pinna, M., da Ponte, F. D. R., Quiroz, D., Ramesar, R., Rasgon, N., Reddy, M. S., Reif, A., Ritter, P., Rybakowski, J. K., Sagduyu, K., Scippa, Â. M., Severus, E., Simhandl, C., Stein, D. J., Strejilevich, S., Subramaniam, M., Sulaiman, A. H., Suominen, K., Tagata, H., Tatebayashi, Y., Tondo, L., Torrent, C., Vaaler, A. E., Veeh, J., Vieta, E., Viswanath, B., Yoldi‐Negrete, M., Zetin, M., Zgueb, Y., and Whybrow, P. C.

Published
2017
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5. Solar insolation in springtime influences age of onset of bipolar I disorder

Author

Bauer, M. Glenn, T. Alda, M. Aleksandrovich, M.A. Andreassen, O.A. Angelopoulos, E. Ardau, R. Ayhan, Y. Baethge, C. Bharathram, S.R. Bauer, R. Baune, B.T. Becerra-Palars, C. Bellivier, F. Belmaker, R.H. Berk, M. Bersudsky, Y. Bicakci, Ş. Birabwa-Oketcho, H. Bjella, T.D. Bossini, L. Cabrera, J. Cheung, E.Y.W. Del Zompo, M. Dodd, S. Donix, M. Etain, B. Fagiolini, A. Fountoulakis, K.N. Frye, M.A. Gonzalez-Pinto, A. Gottlieb, J.F. Grof, P. Harima, H. Henry, C. Isometsä, E.T. Janno, S. Kapczinski, F. Kardell, M. Khaldi, S. Kliwicki, S. König, B. Kot, T.L. Krogh, R. Kunz, M. Lafer, B. Landén, M. Larsen, E.R. Lewitzka, U. Licht, R.W. Lopez-Jaramillo, C. MacQueen, G. Manchia, M. Marsh, W. Martinez-Cengotitabengoa, M. Melle, I. Meza-Urzúa, F. Yee Ming, M. Monteith, S. Morken, G. Mosca, E. Munoz, R. Mythri, S.V. Nacef, F. Nadella, R.K. Nery, F.G. Nielsen, R.E. O'Donovan, C. Omrani, A. Osher, Y. Østermark Sørensen, H. Ouali, U. Pica Ruiz, Y. Pilhatsch, M. Pinna, M. da Ponte, F.D.R. Quiroz, D. Ramesar, R. Rasgon, N. Reddy, M.S. Reif, A. Ritter, P. Rybakowski, J.K. Sagduyu, K. Scippa, Â.M. Severus, E. Simhandl, C. Stein, D.J. Strejilevich, S. Subramaniam, M. Sulaiman, A.H. Suominen, K. Tagata, H. Tatebayashi, Y. Tondo, L. Torrent, C. Vaaler, A.E. Veeh, J. Vieta, E. Viswanath, B. Yoldi-Negrete, M. Zetin, M. Zgueb, Y. Whybrow, P.C.

Abstract

Objective: To confirm prior findings that the larger the maximum monthly increase in solar insolation in springtime, the younger the age of onset of bipolar disorder. Method: Data were collected from 5536 patients at 50 sites in 32 countries on six continents. Onset occurred at 456 locations in 57 countries. Variables included solar insolation, birth-cohort, family history, polarity of first episode and country physician density. Results: There was a significant, inverse association between the maximum monthly increase in solar insolation at the onset location, and the age of onset. This effect was reduced in those without a family history of mood disorders and with a first episode of mania rather than depression. The maximum monthly increase occurred in springtime. The youngest birth-cohort had the youngest age of onset. All prior relationships were confirmed using both the entire sample, and only the youngest birth-cohort (all estimated coefficients P < 0.001). Conclusion: A large increase in springtime solar insolation may impact the onset of bipolar disorder, especially with a family history of mood disorders. Recent societal changes that affect light exposure (LED lighting, mobile devices backlit with LEDs) may influence adaptability to a springtime circadian challenge. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd

Published
2017

6. Impact of sunlight on the age of onset of bipolar disorder

Author

Bauer, M., Glenn, T., Alda, M., Andreassen, O., Ardau, R., Bellivier, F., Berk, M., Bjella, T. D., Bossini, L., Del Zompo, M., Dodd, S., Fagiolini, Andrea, Frye, M. A., Gonzalez Pinto, A., Henry, C., Kapczinski, F., Kliwicki, S., König, B., Kunz, M., Lafer, B., Lopez Jaramillo, C., Manchia, M., Marsh, W., Martinez Cengotitabengoa, M., Melle, I., Morken, G., Munoz, R., Nery, F. G., O'Donovan, C., Pfennig, A., Quiroz, D., Rasgon, N., Reif, A., Rybakowski, J., Sagduyu, K., Simhandl, C., Torrent, C., Vieta, E., Zetin, M., Whybrow, P. C., Farmacologie en Toxicologie, and RS: CARIM School for Cardiovascular Diseases

Subjects
Adult, Aged, 80 and over, Male, bipolar disorder, Adolescent, Photoperiod, Middle Aged, Age of onset, Bipolar disorder, Solar insolation, Sunlight, Article, solar insolation, age of onset, Solar Energy, Humans, Female, Seasons, sunlight, Geography, Medical, Aged, Retrospective Studies
Abstract

Although bipolar disorder has high heritability, the onset occurs during several decades of life, suggesting that social and environmental factors may have considerable influence on disease onset. This study examined the association between the age of onset and sunlight at the location of onset.Data were obtained from 2414 patients with a diagnosis of bipolar I disorder, according to DSM-IV criteria. Data were collected at 24 sites in 13 countries spanning latitudes 6.3 to 63.4 degrees from the equator, including data from both hemispheres. The age of onset and location of onset were obtained retrospectively, from patient records and/or direct interviews. Solar insolation data, or the amount of electromagnetic energy striking the surface of the earth, were obtained from the NASA Surface Meteorology and Solar Energy (SSE) database for each location of onset.The larger the maximum monthly increase in solar insolation at the location of onset, the younger the age of onset (coefficient= -4.724, 95% CI: -8.124 to -1.323, p=0.006), controlling for each country's median age. The maximum monthly increase in solar insolation occurred in springtime. No relationships were found between the age of onset and latitude, yearly total solar insolation, and the maximum monthly decrease in solar insolation. The largest maximum monthly increases in solar insolation occurred in diverse environments, including Norway, arid areas in California, and Chile.The large maximum monthly increase in sunlight in springtime may have an important influence on the onset of bipolar disorder.? 2012 John Wiley and Sons A/S.

Published
2012
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8. Erratum to: online information seeking by patients with bipolar disorder: results from an international multisite survey

Author

Conell, J, Bauer, R, Glenn, T, Alda, M, Ardau, R, Baune, BT, Berk, Michael, Bersudsky, Y, Bilderbeck, A, Bocchetta, A, Bossini, L, Paredes Castro, AM, Cheung, EYW, Chillotti, C, Choppin, S, Del Zompo, M, Dias, R, Dodd, Seetal, Duffy, A, Etain, B, Fagiolini, A, Garnham, J, Geddes, J, Gildebro, J, Gonzalez-Pinto, A, Goodwin, GM, Grof, P, Harima, H, Hassel, S, Henry, C, Hidalgo-Mazzei, D, Kapur, V, Kunigiri, G, Lafer, B, Lam, C, Larsen, ER, Lewitzka, U, Licht, RW, Lund, AH, Misiak, B, Piotrowski, P, Monteith, S, Munoz, R, Nakanotani, T, Nielsen, RE, O'Donovan, C, Okamura, Y, Osher, Y, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Sawchuk, B, Schwartz, E, Scippa, Â, Slaney, C, Sulaiman, AH, Suominen, K, Suwalska, A, Tam, P, Tatebayashi, Y, Tondo, L, Vieta, E, Vinberg, M, Viswanath, B, Volkert, J, Zetin, M, Zorrilla, I, Whybrow, PC, Bauer, M, Conell, J, Bauer, R, Glenn, T, Alda, M, Ardau, R, Baune, BT, Berk, Michael, Bersudsky, Y, Bilderbeck, A, Bocchetta, A, Bossini, L, Paredes Castro, AM, Cheung, EYW, Chillotti, C, Choppin, S, Del Zompo, M, Dias, R, Dodd, Seetal, Duffy, A, Etain, B, Fagiolini, A, Garnham, J, Geddes, J, Gildebro, J, Gonzalez-Pinto, A, Goodwin, GM, Grof, P, Harima, H, Hassel, S, Henry, C, Hidalgo-Mazzei, D, Kapur, V, Kunigiri, G, Lafer, B, Lam, C, Larsen, ER, Lewitzka, U, Licht, RW, Lund, AH, Misiak, B, Piotrowski, P, Monteith, S, Munoz, R, Nakanotani, T, Nielsen, RE, O'Donovan, C, Okamura, Y, Osher, Y, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Sawchuk, B, Schwartz, E, Scippa, Â, Slaney, C, Sulaiman, AH, Suominen, K, Suwalska, A, Tam, P, Tatebayashi, Y, Tondo, L, Vieta, E, Vinberg, M, Viswanath, B, Volkert, J, Zetin, M, Zorrilla, I, Whybrow, PC, and Bauer, M

Published
2017

9. Solar insolation in springtime influences age of onset of bipolar I disorder

Author

Bauer, M, Glenn, T, Alda, M, Aleksandrovich, MA, Andreassen, OA, Angelopoulos, E, Ardau, R, Ayhan, Y, Baethge, C, Bharathram, SR, Bauer, R, Baune, BT, Becerra-Palars, C, Bellivier, F, Belmaker, RH, Berk, M, Bersudsky, Y, Bicakci, S, Birabwa-Oketcho, H, Bjella, TD, Bossini, L, Cabrera, J, Cheung, EYW, Del Zompo, M, Dodd, S, Donix, M, Etain, B, Fagiolini, A, Fountoulakis, KN, Frye, MA, Gonzalez-Pinto, A, Gottlieb, JF, Grof, P, Harima, H, Henry, C, Isometsae, ET, Janno, S, Kapczinski, F, Kardell, M, Khaldi, S, Kliwicki, S, Koenig, B, Kot, TL, Krogh, R, Kunz, M, Lafer, B, Landen, M, Larsen, ER, Lewitzka, U, Licht, RW, Lopez-Jaramillo, C, MacQueen, G, Manchia, M, Marsh, W, Martinez-Cengotitabengoa, M, Melle, I, Meza-Urzua, F, Yee Ming, M, Monteith, S, Morken, G, Mosca, E, Munoz, R, Mythri, SV, Nacef, F, Nadella, RK, Nery, FG, Nielsen, RE, O'Donovan, C, Omrani, A, Osher, Y, Ostermark Sorensen, H, Ouali, U, Pica Ruiz, Y, Pilhatsch, M, Pinna, M, da Ponte, FDR, Quiroz, D, Ramesar, R, Rasgon, N, Reddy, MS, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Scippa, AM, Severus, E, Simhandl, C, Stein, DJ, Strejilevich, S, Subramaniam, M, Sulaiman, AH, Suominen, K, Tagata, H, Tatebayashi, Y, Tondo, L, Torrent, C, Vaaler, AE, Veeh, J, Vieta, E, Viswanath, B, Yoldi-Negrete, M, Zetin, M, Zgueb, Y, Whybrow, PC, Bauer, M, Glenn, T, Alda, M, Aleksandrovich, MA, Andreassen, OA, Angelopoulos, E, Ardau, R, Ayhan, Y, Baethge, C, Bharathram, SR, Bauer, R, Baune, BT, Becerra-Palars, C, Bellivier, F, Belmaker, RH, Berk, M, Bersudsky, Y, Bicakci, S, Birabwa-Oketcho, H, Bjella, TD, Bossini, L, Cabrera, J, Cheung, EYW, Del Zompo, M, Dodd, S, Donix, M, Etain, B, Fagiolini, A, Fountoulakis, KN, Frye, MA, Gonzalez-Pinto, A, Gottlieb, JF, Grof, P, Harima, H, Henry, C, Isometsae, ET, Janno, S, Kapczinski, F, Kardell, M, Khaldi, S, Kliwicki, S, Koenig, B, Kot, TL, Krogh, R, Kunz, M, Lafer, B, Landen, M, Larsen, ER, Lewitzka, U, Licht, RW, Lopez-Jaramillo, C, MacQueen, G, Manchia, M, Marsh, W, Martinez-Cengotitabengoa, M, Melle, I, Meza-Urzua, F, Yee Ming, M, Monteith, S, Morken, G, Mosca, E, Munoz, R, Mythri, SV, Nacef, F, Nadella, RK, Nery, FG, Nielsen, RE, O'Donovan, C, Omrani, A, Osher, Y, Ostermark Sorensen, H, Ouali, U, Pica Ruiz, Y, Pilhatsch, M, Pinna, M, da Ponte, FDR, Quiroz, D, Ramesar, R, Rasgon, N, Reddy, MS, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Scippa, AM, Severus, E, Simhandl, C, Stein, DJ, Strejilevich, S, Subramaniam, M, Sulaiman, AH, Suominen, K, Tagata, H, Tatebayashi, Y, Tondo, L, Torrent, C, Vaaler, AE, Veeh, J, Vieta, E, Viswanath, B, Yoldi-Negrete, M, Zetin, M, Zgueb, Y, and Whybrow, PC

Abstract

OBJECTIVE: To confirm prior findings that the larger the maximum monthly increase in solar insolation in springtime, the younger the age of onset of bipolar disorder. METHOD: Data were collected from 5536 patients at 50 sites in 32 countries on six continents. Onset occurred at 456 locations in 57 countries. Variables included solar insolation, birth-cohort, family history, polarity of first episode and country physician density. RESULTS: There was a significant, inverse association between the maximum monthly increase in solar insolation at the onset location, and the age of onset. This effect was reduced in those without a family history of mood disorders and with a first episode of mania rather than depression. The maximum monthly increase occurred in springtime. The youngest birth-cohort had the youngest age of onset. All prior relationships were confirmed using both the entire sample, and only the youngest birth-cohort (all estimated coefficients P < 0.001). CONCLUSION: A large increase in springtime solar insolation may impact the onset of bipolar disorder, especially with a family history of mood disorders. Recent societal changes that affect light exposure (LED lighting, mobile devices backlit with LEDs) may influence adaptability to a springtime circadian challenge.

Published
2017

10. Online information seeking by patients with bipolar disorder: results from an international multisite survey (vol 4, pg 1, 2016)

Author

Conell, J, Bauer, R, Glenn, T, Alda, M, Ardau, R, Baune, BT, Berk, M, Bersudsky, Y, Bilderbeck, A, Bocchetta, A, Bossini, L, Castro, AMP, Cheung, EYW, Chillotti, C, Choppin, S, Del Zompo, M, Dias, R, Dodd, S, Duffy, A, Etain, B, Fagiolini, A, Garnham, J, Geddes, J, Gildebro, J, Gonzalez-Pinto, A, Goodwin, GM, Grof, P, Harima, H, Hassel, S, Henry, C, Hidalgo-Mazzei, D, Kapur, V, Kunigiri, G, Lafer, B, Lam, C, Larsen, ER, Lewitzka, U, Licht, R, Lund, AH, Misiak, B, Piotrowski, P, Monteith, S, Munoz, R, Nakanotani, T, Nielsen, RE, O'Donovan, C, Okamura, Y, Osher, Y, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Sawchuk, B, Schwartz, E, Scippa, AM, Slaney, C, Sulaiman, AH, Suominen, K, Suwalska, A, Tam, P, Tatebayashi, Y, Tondo, L, Vieta, E, Vinberg, M, Viswanath, B, Volkert, J, Zetin, M, Zorrilla, I, Whybrow, PC, Bauer, M, Conell, J, Bauer, R, Glenn, T, Alda, M, Ardau, R, Baune, BT, Berk, M, Bersudsky, Y, Bilderbeck, A, Bocchetta, A, Bossini, L, Castro, AMP, Cheung, EYW, Chillotti, C, Choppin, S, Del Zompo, M, Dias, R, Dodd, S, Duffy, A, Etain, B, Fagiolini, A, Garnham, J, Geddes, J, Gildebro, J, Gonzalez-Pinto, A, Goodwin, GM, Grof, P, Harima, H, Hassel, S, Henry, C, Hidalgo-Mazzei, D, Kapur, V, Kunigiri, G, Lafer, B, Lam, C, Larsen, ER, Lewitzka, U, Licht, R, Lund, AH, Misiak, B, Piotrowski, P, Monteith, S, Munoz, R, Nakanotani, T, Nielsen, RE, O'Donovan, C, Okamura, Y, Osher, Y, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Sawchuk, B, Schwartz, E, Scippa, AM, Slaney, C, Sulaiman, AH, Suominen, K, Suwalska, A, Tam, P, Tatebayashi, Y, Tondo, L, Vieta, E, Vinberg, M, Viswanath, B, Volkert, J, Zetin, M, Zorrilla, I, Whybrow, PC, and Bauer, M

Published
2017

11. Influence of birth cohort on age of onset cluster analysis in bipolar I disorder

Author

Bauer, M. Glenn, T. Alda, M. Andreassen, O. A. and Angelopoulos, E. Ardau, R. Baethge, C. Bauer, R. and Bellivier, F. Belmaker, R. H. Berk, M. Bjella, T. D. and Bossini, L. Bersudsky, Y. Cheung, E. Y. W. Conell, J. and Del Zompo, M. Dodd, S. Etain, B. Fagiolini, A. Frye, M. A. Fountoulakis, K. N. Garneau-Fournier, J. Gonzalez-Pinto, A. Harima, H. Hassel, S. Henry, C. Iacovides, A. and Isometsa, E. T. Kapczinski, F. Kliwicki, S. Koenig, B. and Krogh, R. Kunz, M. Lafer, B. Larsen, E. R. Lewitzka, U. and Lopez-Jaramillo, C. MacQueen, G. Manchia, M. Marsh, W. and Martinez-Cengotitabengoa, M. Melle, I. Monteith, S. and Morken, G. Munoz, R. Nery, F. G. O'Donovan, C. Osher, Y. and Pfennig, A. Quiroz, D. Ramesar, R. Rasgon, N. Reif, A. Ritter, P. Rybakowski, J. K. Sagduyu, K. Scippa, A. M. Severus, E. Simhandl, C. Stein, D. J. Strejilevich, S. Sulaiman, A. Hatim Suominen, K. Tagata, H. and Tatebayashi, Y. Torrent, C. Vieta, E. Viswanath, B. and Wanchoo, M. J. Zetin, M. Whybrow, P. C.

Abstract

Purpose: Two common approaches to identify subgroups of patients with bipolar disorder are clustering methodology (mixture analysis) based on the age of onset, and a birth cohort analysis. This study investigates if a birth cohort effect will influence the results of clustering on the age of onset, using a large, international database. Methods: The database includes 4037 patients with a diagnosis of bipolar I disorder, previously collected at 36 collection sites in 23 countries. Generalized estimating equations (GEE) were used to adjust the data for country median age, and in some models, birth cohort. Model-based clustering (mixture analysis) was then performed on the age of onset data using the residuals. Clinical variables in subgroups were compared. Results: There was a strong birth cohort effect. Without adjusting for the birth cohort, three subgroups were found by clustering. After adjusting for the birth cohort or when considering only those born after 1959, two subgroups were found. With results of either two or three subgroups, the youngest subgroup was more likely to have a family history of mood disorders and a first episode with depressed polarity. However, without adjusting for birth cohort (three subgroups), family history and polarity of the first episode could not be distinguished between the middle and oldest subgroups. Conclusion: These results using international data confirm prior findings using single country data, that there are subgroups of bipolar I disorder based on the age of onset, and that there is a birth cohort effect. Including the birth cohort adjustment altered the number and characteristics of subgroups detected when clustering by age of onset. Further investigation is needed to determine if combining both approaches will identify subgroups that are more useful for research. (C) 2014 Elsevier Masson SAS. All rights reserved.

Published
2015

12. Adult Autism Subthreshold Spectrum

Author

Dell'Osso, L., primary, Gesi, C., additional, Massimetti, E., additional, Cremone, I. M., additional, Barbuti, M., additional, Maccariello, G., additional, Moroni, I., additional, Barlati, S., additional, Castellini, G., additional, Luciano, M., additional, Bossini, L., additional, Rocchetti, M., additional, Signorelli, M., additional, Aguglia, E., additional, Fagiolini, A., additional, Politi, P., additional, Ricca, V., additional, Vita, A., additional, Carmassi, C., additional, and Maj, M., additional

Published
2017
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13. Online information seeking by patients with bipolar disorder: results from an international multisite survey

Author

Conell, J, Bauer, R, Glenn, T, Alda, M, Ardau, R, Baune, BT, Berk, M, Bersudsky, Y, Bilderbeck, A, Bocchetta, A, Bossini, L, Castro, AMP, Cheung, EYW, Chillotti, C, Choppin, S, Del Zompo, M, Dias, R, Dodd, S, Duffy, A, Etain, B, Fagiolini, A, Garnham, J, Geddes, J, Gildebro, J, Gonzalez-Pinto, A, Goodwin, GM, Grof, P, Harima, H, Hassel, S, Henry, C, Hidalgo-Mazzei, D, Kapur, V, Kunigiri, G, Lafer, B, Lam, C, Larsen, ER, Lewitzka, U, Licht, R, Lund, AH, Misiak, B, Piotrowski, P, Monteith, S, Munoz, R, Nakanotani, T, Nielsen, RE, O'Donovan, C, Okamura, Y, Osher, Y, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Sawchuk, B, Schwartz, E, Scippa, AM, Slaney, C, Sulaiman, AH, Suominen, K, Suwalska, A, Tam, P, Tatebayashi, Y, Tondo, L, Vieta, E, Vinberg, M, Viswanath, B, Volkert, J, Zetin, M, Zorrilla, I, Whybrow, PC, Bauer, M, Conell, J, Bauer, R, Glenn, T, Alda, M, Ardau, R, Baune, BT, Berk, M, Bersudsky, Y, Bilderbeck, A, Bocchetta, A, Bossini, L, Castro, AMP, Cheung, EYW, Chillotti, C, Choppin, S, Del Zompo, M, Dias, R, Dodd, S, Duffy, A, Etain, B, Fagiolini, A, Garnham, J, Geddes, J, Gildebro, J, Gonzalez-Pinto, A, Goodwin, GM, Grof, P, Harima, H, Hassel, S, Henry, C, Hidalgo-Mazzei, D, Kapur, V, Kunigiri, G, Lafer, B, Lam, C, Larsen, ER, Lewitzka, U, Licht, R, Lund, AH, Misiak, B, Piotrowski, P, Monteith, S, Munoz, R, Nakanotani, T, Nielsen, RE, O'Donovan, C, Okamura, Y, Osher, Y, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Sawchuk, B, Schwartz, E, Scippa, AM, Slaney, C, Sulaiman, AH, Suominen, K, Suwalska, A, Tam, P, Tatebayashi, Y, Tondo, L, Vieta, E, Vinberg, M, Viswanath, B, Volkert, J, Zetin, M, Zorrilla, I, Whybrow, PC, and Bauer, M

Abstract

BACKGROUND: Information seeking is an important coping mechanism for dealing with chronic illness. Despite a growing number of mental health websites, there is little understanding of how patients with bipolar disorder use the Internet to seek information. METHODS: A 39 question, paper-based, anonymous survey, translated into 12 languages, was completed by 1222 patients in 17 countries as a convenience sample between March 2014 and January 2016. All patients had a diagnosis of bipolar disorder from a psychiatrist. Data were analyzed using descriptive statistics and generalized estimating equations to account for correlated data. RESULTS: 976 (81 % of 1212 valid responses) of the patients used the Internet, and of these 750 (77 %) looked for information on bipolar disorder. When looking online for information, 89 % used a computer rather than a smartphone, and 79 % started with a general search engine. The primary reasons for searching were drug side effects (51 %), to learn anonymously (43 %), and for help coping (39 %). About 1/3 rated their search skills as expert, and 2/3 as basic or intermediate. 59 % preferred a website on mental illness and 33 % preferred Wikipedia. Only 20 % read or participated in online support groups. Most patients (62 %) searched a couple times a year. Online information seeking helped about 2/3 to cope (41 % of the entire sample). About 2/3 did not discuss Internet findings with their doctor. CONCLUSION: Online information seeking helps many patients to cope although alternative information sources remain important. Most patients do not discuss Internet findings with their doctor, and concern remains about the quality of online information especially related to prescription drugs. Patients may not rate search skills accurately, and may not understand limitations of online privacy. More patient education about online information searching is needed and physicians should recommend a few high quality websites.

Published
2016

23. Photosensitivity and panic-agoraphobic spectrum: a pilot study

Author

Bossini, L., Frank, E., Campinoti, G., Valdagno, M., Caterini, C., Castrogiovanni, P., and ANDREA FAGIOLINI

Subjects
Adult, Male, Anxiety, Panic disorder, Seasonality, Photophobia, Surveys and Questionnaires, Humans, Female, Agoraphobia, Panic
Abstract

The aims of this study were to assess photosensitivity (photophobia and photophilia) in panic disorder (PD) patients compared to healthy controls, and to evaluate the correlation between photosensitivity and panic-agoraphobic spectrum self-report (PAS-SR) scores.The PAS-SR and Photosensitivity Assessment Questionnaires were administered to 24 PD subjects and 33 healthy controls.Compared to controls, PD patients showed significantly higher levels of photophobia and lower levels of photophilia items. The PAS-SR total score was positively correlated with the photophobia score.This study shows a strong correlation between PD and photophobia. However, whether photophobia develops before or after the onset of PD remains unclear. Further research is warranted to assess the potential role of light stimuli exposure in the onset, course and outcome of PD.

Published
2013

44. Relationship between sunlight and the age of onset of bipolar disorder: An international multisite study

Author

Bauer, M, Glenn, T, Alda, M, Andreassen, OA, Angelopoulos, E, Ardau, R, Baethge, C, Bauer, R, Bellivier, F, Belmaker, RH, Berk, M, Bjella, TD, Bossini, L, Bersudsky, Y, Cheung, EYW, Conell, J, Del Zompo, M, Dodd, S, Etain, B, Fagiolini, A, Frye, MA, Fountoulakis, KN, Garneau-Fournier, J, Gonzalez-Pinto, A, Harima, H, Hassel, S, Henry, C, Iacovides, A, Isometsa, ET, Kapczinski, F, Kliwicki, S, Koenig, B, Krogh, R, Kunz, M, Lafer, B, Larsen, ER, Lewitzka, U, Lopez-Jaramillo, C, MacQueen, G, Manchia, M, Marsh, W, Martinez-Cengotitabengoa, M, Melle, I, Monteith, S, Morken, G, Munoz, R, Nery, FG, O'Donovan, C, Osher, Y, Pfennig, A, Quiroz, D, Ramesar, R, Rasgon, N, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Scippa, AM, Severus, E, Simhandl, C, Stein, DJ, Strejilevich, S, Sulaiman, AH, Suominen, K, Tagata, H, Tatebayashi, Y, Torrent, C, Vieta, E, Viswanath, B, Wanchoo, MJ, Zetin, M, Whybrow, PC, Bauer, M, Glenn, T, Alda, M, Andreassen, OA, Angelopoulos, E, Ardau, R, Baethge, C, Bauer, R, Bellivier, F, Belmaker, RH, Berk, M, Bjella, TD, Bossini, L, Bersudsky, Y, Cheung, EYW, Conell, J, Del Zompo, M, Dodd, S, Etain, B, Fagiolini, A, Frye, MA, Fountoulakis, KN, Garneau-Fournier, J, Gonzalez-Pinto, A, Harima, H, Hassel, S, Henry, C, Iacovides, A, Isometsa, ET, Kapczinski, F, Kliwicki, S, Koenig, B, Krogh, R, Kunz, M, Lafer, B, Larsen, ER, Lewitzka, U, Lopez-Jaramillo, C, MacQueen, G, Manchia, M, Marsh, W, Martinez-Cengotitabengoa, M, Melle, I, Monteith, S, Morken, G, Munoz, R, Nery, FG, O'Donovan, C, Osher, Y, Pfennig, A, Quiroz, D, Ramesar, R, Rasgon, N, Reif, A, Ritter, P, Rybakowski, JK, Sagduyu, K, Scippa, AM, Severus, E, Simhandl, C, Stein, DJ, Strejilevich, S, Sulaiman, AH, Suominen, K, Tagata, H, Tatebayashi, Y, Torrent, C, Vieta, E, Viswanath, B, Wanchoo, MJ, Zetin, M, and Whybrow, PC

Abstract

BACKGROUND: The onset of bipolar disorder is influenced by the interaction of genetic and environmental factors. We previously found that a large increase in sunlight in springtime was associated with a lower age of onset. This study extends this analysis with more collection sites at diverse locations, and includes family history and polarity of first episode. METHODS: Data from 4037 patients with bipolar I disorder were collected at 36 collection sites in 23 countries at latitudes spanning 3.2 north (N) to 63.4 N and 38.2 south (S) of the equator. The age of onset of the first episode, onset location, family history of mood disorders, and polarity of first episode were obtained retrospectively, from patient records and/or direct interview. Solar insolation data were obtained for the onset locations. RESULTS: There was a large, significant inverse relationship between maximum monthly increase in solar insolation and age of onset, controlling for the country median age and the birth cohort. The effect was reduced by half if there was no family history. The maximum monthly increase in solar insolation occurred in springtime. The effect was one-third smaller for initial episodes of mania than depression. The largest maximum monthly increase in solar insolation occurred in northern latitudes such as Oslo, Norway, and warm and dry areas such as Los Angeles, California. LIMITATIONS: Recall bias for onset and family history data. CONCLUSIONS: A large springtime increase in sunlight may have an important influence on the onset of bipolar disorder, especially in those with a family history of mood disorders.

Published
2014

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