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1. Longitudinal Metabolome-Wide Signals Prior to the Appearance of a First Islet Autoantibody in Children Participating in the TEDDY Study

Author

Li, Qian, Parikh, Hemang, Butterworth, Martha D, Lernmark, Åke, Hagopian, William, Rewers, Marian, She, Jin-Xiong, Toppari, Jorma, Ziegler, Anette-G, Akolkar, Beena, Fiehn, Oliver, Fan, Sili, Krischer, Jeffrey P, Barbour, Aaron, Bautista, Kimberly, Baxter, Judith, Felipe-Morales, Daniel, Driscoll, Kimberly, Frohnert, Brigitte I, Stahl, Marisa, Gesualdo, Patricia, Hoffman, Michelle, Karban, Rachel, Liu, Edwin, Norris, Jill, Peacock, Stesha, Shorrosh, Hanan, Steck, Andrea, Stern, Megan, Villegas, Erica, Waugh, Kathleen, Simell, Olli G, Adamsson, Annika, Ahonen, Suvi, Åkerlund, Mari, Hakola, Leena, Hekkala, Anne, Holappa, Henna, Hyöty, Heikki, Ikonen, Anni, Ilonen, Jorma, Jäminki, Sinikka, Jokipuu, Sanna, Karlsson, Leena, Kero, Jukka, Kähönen, Miia, Knip, Mikael, Koivikko, Minna-Liisa, Koskinen, Merja, Koreasalo, Mirva, Kurppa, Kalle, Kytölä, Jarita, Latva-aho, Tiina, Lindfors, Katri, Lönnrot, Maria, Mäntymäki, Elina, Mattila, Markus, Miettinen, Maija, Multasuo, Katja, Mykkänen, Teija, Niininen, Tiina, Niinistö, Sari, Nyblom, Mia, Oikarinen, Sami, Ollikainen, Paula, Othmani, Zhian, Pohjola, Sirpa, Rajala, Petra, Rautanen, Jenna, Riikonen, Anne, Riski, Eija, Pekkola, Miia, Romo, Minna, Ruohonen, Satu, Simell, Satu, Sjöberg, Maija, Stenius, Aino, Tossavainen, Päivi, Vähä-Mäkilä, Mari, Vainionpää, Sini, Varjonen, Eeva, Veijola, Riitta, Viinikangas, Irene, Virtanen, Suvi M, Schatz, Desmond, Hopkins, Diane, Steed, Leigh, Bryant, Jennifer, Silvis, Katherine, Haller, Michael, Gardiner, Melissa, McIndoe, Richard, Sharma, Ashok, Anderson, Stephen W, Jacobsen, Laura, Marks, John, and Towe, PD

Subjects
Pediatric, Autoimmune Disease, Diabetes, Prevention, Nutrition, Metabolic and endocrine, Alanine, Amino Acids, Branched-Chain, Autoantibodies, Child, Preschool, Dehydroascorbic Acid, Diabetes Mellitus, Type 1, Fatty Acids, Female, Genetic Predisposition to Disease, Glutamate Decarboxylase, Humans, Infant, Infant, Newborn, Insulin Antibodies, Longitudinal Studies, Male, Metabolome, Methionine, Phosphatidylethanolamines, Prodromal Symptoms, Proline, Risk, Triglycerides, gamma-Aminobutyric Acid, TEDDY Study Group, Medical and Health Sciences, Endocrinology & Metabolism
Abstract

Children at increased genetic risk for type 1 diabetes (T1D) after environmental exposures may develop pancreatic islet autoantibodies (IA) at a very young age. Metabolic profile changes over time may imply responses to exposures and signal development of the first IA. Our present research in The Environmental Determinants of Diabetes in the Young (TEDDY) study aimed to identify metabolome-wide signals preceding the first IA against GAD (GADA-first) or against insulin (IAA-first). We profiled metabolomes by mass spectrometry from children's plasma at 3-month intervals after birth until appearance of the first IA. A trajectory analysis discovered each first IA preceded by reduced amino acid proline and branched-chain amino acids (BCAAs), respectively. With independent time point analysis following birth, we discovered dehydroascorbic acid (DHAA) contributing to the risk of each first IA, and γ-aminobutyric acid (GABAs) associated with the first autoantibody against insulin (IAA-first). Methionine and alanine, compounds produced in BCAA metabolism and fatty acids, also preceded IA at different time points. Unsaturated triglycerides and phosphatidylethanolamines decreased in abundance before appearance of either autoantibody. Our findings suggest that IAA-first and GADA-first are heralded by different patterns of DHAA, GABA, multiple amino acids, and fatty acids, which may be important to primary prevention of T1D.

Published
2020

2. Interaction Between Dietary Iron Intake and Genetically Determined Iron Overload:Risk of Islet Autoimmunity and Progression to Type 1 Diabetes in the TEDDY Study

Author

Ullitz Thorsen, Steffen, Liu, Xiang, Kataria, Yachana, Mandrup-poulsen, Thomas, Kaur, Simranjeet, Uusitalo, Ulla, Virtanen, Suvi M., Norris, Jill, Rewers, Marian, Hagopian, William, Yang, Jimin, She, Jin-xiong, Akolkar, Beena, Rich, Stephen S., Aronsson, Carin Andrén, Lernmark, Åke, Ziegler, Anette-gabriele, Toppari, Jorma, Krischer, Jeffrey P., Parikh, Hemang M., Ellervik, Christina, Svensson, Jannet, Barbour, Aaron, Bautista, Kimberly, Baxter, Judith, Felipe-morales, Daniel, Frohnert, Brigitte I., Stahl, Marisa, Gesualdo, Patricia, Hoffman, Michelle, Karban, Rachel, Liu, Edwin, Munoz, Alondra, O’donnell, Holly, Peacock, Stesha, Shorrosh, Hanan, Steck, Andrea, Stern, Megan, Waugh, Kathleen, Simell, Olli G., Adamsson, Annika, Ahonen, Suvi, Åkerlund, Mari, Anttila, Sirpa, Hakola, Leena, Hekkala, Anne, Agardh, Daniel, Ullitz Thorsen, Steffen, Liu, Xiang, Kataria, Yachana, Mandrup-poulsen, Thomas, Kaur, Simranjeet, Uusitalo, Ulla, Virtanen, Suvi M., Norris, Jill, Rewers, Marian, Hagopian, William, Yang, Jimin, She, Jin-xiong, Akolkar, Beena, Rich, Stephen S., Aronsson, Carin Andrén, Lernmark, Åke, Ziegler, Anette-gabriele, Toppari, Jorma, Krischer, Jeffrey P., Parikh, Hemang M., Ellervik, Christina, Svensson, Jannet, Barbour, Aaron, Bautista, Kimberly, Baxter, Judith, Felipe-morales, Daniel, Frohnert, Brigitte I., Stahl, Marisa, Gesualdo, Patricia, Hoffman, Michelle, Karban, Rachel, Liu, Edwin, Munoz, Alondra, O’donnell, Holly, Peacock, Stesha, Shorrosh, Hanan, Steck, Andrea, Stern, Megan, Waugh, Kathleen, Simell, Olli G., Adamsson, Annika, Ahonen, Suvi, Åkerlund, Mari, Anttila, Sirpa, Hakola, Leena, Hekkala, Anne, and Agardh, Daniel

Abstract

OBJECTIVE To examine whether iron intake and genetically determined iron overload interact in predisposing to the development of childhood islet autoimmunity (IA) and type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS In The Environmental Determinants of Diabetes in the Young (TEDDY) study, 7,770 genetically high-risk children were followed from birth until the development of IA and progression to T1D. Exposures included energy-adjusted iron intake in the first 3 years of life and a genetic risk score (GRS) for increased circulating iron. RESULTS We found a U-shaped association between iron intake and risk of GAD antibody as the first autoantibody. In children with GRS ≥2 iron risk alleles, high iron intake was associated with an increased risk of IA, with insulin as first autoantibody (adjusted hazard ratio 1.71 [95% CI 1.14; 2.58]) compared with moderate iron intake. CONCLUSIONS Iron intake may alter the risk of IA in children with high-risk HLA haplogenotypes.

Published
2023

4. Effects of Gluten Intake on Risk of Celiac Disease: A Case-Control Study on a Swedish Birth Cohort

Author

Rewers, Marian, Bautista, Kimberly, Baxter, Judith, Bedoy, Ruth, Felipe-Morales, Daniel, Frohnert, Brigitte I., Gesualdo, Patricia, Hoffman, Michelle, Karban, Rachel, Liu, Edwin, Norris, Jill, Samper-Imaz, Adela, Steck, Andrea, Waugh, Kathleen, Wright, Hali, She, Jin-Xiong, Schatz, Desmond, Hopkins, Diane, Steed, Leigh, Thomas, Jamie, Adams, Janey, Silvis, Katherine, Haller, Michael, Gardiner, Melissa, McIndoe, Richard, Sharma, Ashok, Williams, Joshua, Foghis, Gabriela, Anderson, Stephen W., Robinson, Richard, Ziegler, Anette G., Beyerlein, Andreas, Bonifacio, Ezio, Hummel, Michael, Hummel, Sandra, Foterek, Kristina, Kersting, Mathilde, Knopff, Annette, Koletzko, Sibylle, Peplow, Claudia, Roth, Roswith, Stock, Joanna, Strauss, Elisabeth, Warncke, Katharina, Winkler, Christiane, Toppari, Jorma, Simell, Olli G., Adamsson, Annika, Hyöty, Heikki, Ilonen, Jorma, Jokipuu, Sanna, Kallio, Tiina, Kähönen, Miia, Knip, Mikael, Koivu, Annika, Koreasalo, Mirva, Kurppa, Kalle, Lönnrot, Maria, Mäntymäki, Elina, Multasuo, Katja, Mykkänen, Juha, Niininen, Tiina, Nyblom, Mia, Rajala, Petra, Rautanen, Jenna, Riikonen, Anne, Romo, Minna, Simell, Satu, Simell, Tuula, Simell, Ville, Sjöberg, Maija, Stenius, Aino, Särmä, Maria, Vainionpää, Sini, Varjonen, Eeva, Veijola, Riitta, Virtanen, Suvi M., Vähä-Mäkilä, Mari, Åkerlund, Mari, Lernmark, Åke, Agardh, Daniel, Aronsson, Carin Andrén, Ask, Maria, Bremer, Jenny, Carlsson, Ulla-Marie, Cilio, Corrado, Ericson-Hallström, Emelie, Fransson, Lina, Gard, Thomas, Gerardsson, Joanna, Bennet, Rasmus, Hansen, Monica, Hansson, Gertie, Harmby, Cecilia, Hyberg, Susanne, Johansen, Fredrik, Jonasdottir, Berglind, Larsson, Helena Elding, Forss, Sigrid Lenrick, Lundgren, Markus, Månsson-Martinez, Maria, Markan, Maria, Melin, Jessica, Mestan, Zeliha, Rahmati, Kobra, Ramelius, Anita, Rosenquist, Anna, Salami, Falastin, Sibthorpe, Sara, Sjöberg, Birgitta, Swartling, Ulrica, Amboh, Evelyn Tekum, Trulsson, Erika, Törn, Carina, Wallin, Anne, Wimar, Åsa, Åberg, Sofie, Hagopian, William A., Killian, Michael, Crouch, Claire Cowen, Skidmore, Jennifer, Ayres, Stephen, Dunson, Kayleen, Hervey, Rachel, Johnson, Corbin, Lyons, Rachel, Meyer, Arlene, Mulenga, Denise, Scott, Elizabeth, Stabbert, Joshua, Tarr, Alexander, Uland, Morgan, Willis, John, Becker, Dorothy, Franciscus, Margaret, Smith, MaryEllen Dalmagro-Elias, Daftary, Ashi, Klein, Mary Beth, Yates, Chrystal, Krischer, Jeffrey P., Abbondondolo, Michael, Austin-Gonzalez, Sarah, Baethke, Sandra, Brown, Rasheedah, Burkhardt, Brant, Butterworth, Martha, Clasen, Joanna, Cuthbertson, David, Eberhard, Christopher, Fiske, Steven, Garcia, Dena, Garmeson, Jennifer, Gowda, Veena, Heyman, Kathleen, Laras, Francisco Perez, Lee, Hye-Seung, Liu, Shu, Liu, Xiang, Lynch, Kristian, Malloy, Jamie, McCarthy, Cristina, McLeod, Wendy, Meulemans, Steven, Shaffer, Chris, Smith, Laura, Smith, Susan, Sulman, Noah, Tamura, Roy, Uusitalo, Ulla, Vehik, Kendra, Vijayakandipan, Ponni, Wood, Keith, Yang, Jimin, Ballard, Lori, Hadley, David, Akolkar, Beena, Bourcier, Kasia, Briese, Thomas, Johnson, Suzanne Bennett, Triplett, Eric, Andrén Aronsson, Carin, and Norris, Jill M.

Published
2016
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6. Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study

Author

Köhler, Meike, Beyerlein, Andreas, Vehik, Kendra, Greven, Sonja, Umlauf, Nikolaus, Lernmark, Åke, Hagopian, William A., Rewers, Marian, She, Jin-Xiong, Toppari, Jorma, Akolkar, Beena, Krischer, Jeffrey P., Bonifacio, Ezio, Ziegler, Anette-G., Rewers, Marian, Bautista, Kimberly, Baxter, Judith, Bedoy, Ruth, Felipe-Morales, Daniel, Driscoll, Kimberly, Frohnert, Brigitte I., Gesualdo, Patricia, Hoffman, Michelle, Karban, Rachel, Liu, Edwin, Norris, Jill, Samper-Imaz, Adela, Steck, Andrea, Waugh, Kathleen, Wright, Hali, Toppari, Jorma, Simell, Olli G., Adamsson, Annika, Ahonen, Suvi, Hyöty, Heikki, Ilonen, Jorma, Jokipuu, Sanna, Kallio, Tiina, Karlsson, Leena, Kähönen, Miia, Knip, Mikael, Kovanen, Lea, Koreasalo, Mirva, Kurppa, Kalle, Latva-aho, Tiina, Lönnrot, Maria, Mäntymäki, Elina, Multasuo, Katja, Mykkänen, Juha, Niininen, Tiina, Niinistö, Sari, Nyblom, Mia, Rajala, Petra, Rautanen, Jenna, Riikonen, Anne, Riikonen, Mika, Rouhiainen, Jenni, Romo, Minna, Simell, Tuula, Simell, Ville, Sjöberg, Maija, Stenius, Aino, Leppänen, Maria, Vainionpää, Sini, Varjonen, Eeva, Veijola, Riitta, Virtanen, Suvi M., Vähä-Mäkilä, Mari, Åkerlund, Mari, Lindfors, Katri, She, Jin-Xiong, Schatz, Desmond, Hopkins, Diane, Steed, Leigh, Thomas, Jamie, Adams, Janey, Silvis, Katherine, Haller, Michael, Gardiner, Melissa, McIndoe, Richard, Sharma, Ashok, Williams, Joshua, Young, Gabriela, Anderson, Stephen W., Jacobsen, Laura, Ziegler, Anette G., Beyerlein, Andreas, Bonifacio, Ezio, Hummel, Michael, Hummel, Sandra, Foterek, Kristina, Janz, Nicole, Kersting, Mathilde, Knopff, Annette, Koletzko, Sibylle, Peplow, Claudia, Roth, Roswith, Scholz, Marlon, Stock, Joanna, Warncke, Katharina, Wendel, Lorena, Winkler, Christiane, Lernmark, Åke, Agardh, Daniel, Aronsson, Carin Andrén, Ask, Maria, Bremer, Jenny, Carlsson, Ulla-Marie, Cilio, Corrado, Ericson-Hallström, Emelie, Fransson, Lina, Gard, Thomas, Gerardsson, Joanna, Bennet, Rasmus, Hansen, Monica, Hansson, Gertie, Hyberg, Susanne, Johansen, Fredrik, Jonsdottir, Berglind, Larsson, Helena Elding, Lindström, Marielle, Lundgren, Markus, Månsson-Martinez, Maria, Markan, Maria, Melin, Jessica, Mestan, Zeliha, Ottosson, Karin, Rahmati, Kobra, Ramelius, Anita, Salami, Falastin, Sibthorpe, Sara, Sjöberg, Birgitta, Swartling, Ulrica, Amboh, Evelyn Tekum, Törn, Carina, Wallin, Anne, Wimar, Åsa, Åberg, Sofie, Hagopian, William A., Killian, Michael, Crouch, Claire Cowen, Skidmore, Jennifer, Carson, Josephine, Dalzell, Maria, Dunson, Kayleen, Hervey, Rachel, Johnson, Corbin, Lyons, Rachel, Meyer, Arlene, Mulenga, Denise, Tarr, Alexander, Uland, Morgan, Willis, John, Becker, Dorothy, Franciscus, Margaret, Smith, MaryEllen Dalmagro-Elias, Daftary, Ashi, Klein, Mary Beth, Yates, Chrystal, Krischer, Jeffrey P., Abbondondolo, Michael, Austin-Gonzalez, Sarah, Avendano, Maryouri, Baethke, Sandra, Brown, Rasheedah, Burkhardt, Brant, Butterworth, Martha, Clasen, Joanna, Cuthbertson, David, Eberhard, Christopher, Fiske, Steven, Garcia, Dena, Garmeson, Jennifer, Gowda, Veena, Heyman, Kathleen, PerezLaras, Francisco, Lee, Hye-Seung, Liu, Shu, Liu, Xiang, Lynch, Kristian, Malloy, Jamie, McCarthy, Cristina, Meulemans, Steven, Parikh, Hemang, Shaffer, Chris, Smith, Laura, Smith, Susan, Sulman, Noah, Tamura, Roy, Uusitalo, Ulla, Vehik, Kendra, Vijayakandipan, Ponni, Wood, Keith, Yang, Jimin, Ballard, Lori, Hadley, David, McLeod, Wendy, Akolkar, Beena, Yu, Liping, Miao, Dongmei, Bingley, Polly, Williams, Alistair, Chandler, Kyla, Rokni, Saba, Williams, Claire, Wyatt, Rebecca, George, Gifty, Grace, Sian, Erlich, Henry, Mack, Steven J., Ke, Sandra, Mulholland, Niveen, Bourcier, Kasia, Briese, Thomas, Johnson, Suzanne Bennett, Triplett, Eric, TEDDY study group, Ancillary Studies, Diet, Genetics, Human Subjects/Publicity/Publications, Immune Markers, Infectious Agents, Laboratory Implementation, Maternal Studies, Psychosocial, Quality Assurance, Steering, Study Coordinators, Celiac Disease, Clinical Implementation, and Quality Assurance Subcommittee on Data Quality

Published
2017
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11. First-emerging islet autoantibody and glucose metabolism : search for type 1 diabetes subtypes

Author

Helminen, Olli, Pokka, Tytti, Aspholm, Susanna, Ilonen, Jorma, Simell, Olli G., Knip, Mikael, Veijola, Riitta, Tampere University, and Department of Paediatrics

Subjects
3121 Internal medicine
Abstract

Objective: Subtypes in type 1 diabetes pathogenesis have been implicated based on the first-appearing autoantibody (primary autoantibody). We set out to describe the glucose metabolism in preclinical diabetes in relation to the primary autoantibody in children with HLA-conferred disease susceptibility. Design and methods: Dysglycemic markers are defined as a 10% increase in HbA1c in a 3–12 months interval or HbA1c ≥5.9% (41 mmol/mol) in two consecutive samples, impaired fasting glucose or impaired glucose tolerance, or a random plasma glucose value ≥7.8 mmol/L. A primary autoantibody could be detected in 295 children who later developed at least 1 additional biochemical autoantibody. These children were divided into three groups: insulin autoantibody (IAA) multiple (n = 143), GAD antibody (GADA) multiple (n = 126) and islet antigen 2 antibody (IA-2A) multiple (n = 26). Another 229 children seroconverted to positivity only for a single biochemical autoantibody and were grouped as IAA only (n = 87), GADA only (n = 114) and IA-2A only (n = 28). Results: No consistent differences were observed in selected autoantibody groups during the preclinical period. At diagnosis, children with IAA only showed the highest HbA1c (P < 0.001 between groups) and the highest random plasma glucose (P = 0.005 between groups). Children with IA-2A only progressed to type 1 diabetes as frequently as those with IA-2A multiple (46% vs 54%, P = 0.297) whereas those with IAA only or GADA only progressed less often than children with IAA multiple or GADA multiple (22% vs 62% (P < 0.001) and 7% vs 43% (P < 0.001)), respectively. Conclusions: The phenotype of preclinical diabetes defined by the primary autoantibody is noassociated with any discernible differences in glucose metabolism before the clinical disease manifestation. publishedVersion

Published
2022

13. Correction to: Respiratory infections are temporally associated with initiation of type 1 diabetes autoimmunity: the TEDDY study

Author

Lönnrot, Maria, Lynch, Kristian F., Elding Larsson, Helena, Lernmark, Åke, Rewers, Marian J., Törn, Carina, Burkhardt, Brant R., Briese, Thomas, Hagopian, William A., She, Jin-Xiong, Simell, Olli G., Toppari, Jorma, Ziegler, Anette-G., Akolkar, Beena, Krischer, Jeffrey P., Hyöty, Heikki, and on behalf of the TEDDY Study Group

Published
2017
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14. Effects of Gluten Intake on Risk of Celiac Disease: A Case-Control Study on a Swedish Birth Cohort

Author

Aronsson, Carin Andrén, Lee, Hye-Seung, Koletzko, Sibylle, Uusitalo, Ulla, Yang, Jimin, Virtanen, Suvi M., Liu, Edwin, Lernmark, Åke, Norris, Jill M., Agardh, Daniel, Rewers, Marian, Bautista, Kimberly, Baxter, Judith, Bedoy, Ruth, Felipe-Morales, Daniel, Frohnert, Brigitte I., Gesualdo, Patricia, Hoffman, Michelle, Karban, Rachel, Liu, Edwin, Norris, Jill, Samper-Imaz, Adela, Steck, Andrea, Waugh, Kathleen, Wright, Hali, She, Jin-Xiong, Schatz, Desmond, Hopkins, Diane, Steed, Leigh, Thomas, Jamie, Adams, Janey, Silvis, Katherine, Haller, Michael, Gardiner, Melissa, McIndoe, Richard, Sharma, Ashok, Williams, Joshua, Foghis, Gabriela, Anderson, Stephen W., Robinson, Richard, Ziegler, Anette G., Beyerlein, Andreas, Bonifacio, Ezio, Hummel, Michael, Hummel, Sandra, Foterek, Kristina, Kersting, Mathilde, Knopff, Annette, Koletzko, Sibylle, Peplow, Claudia, Roth, Roswith, Stock, Joanna, Strauss, Elisabeth, Warncke, Katharina, Winkler, Christiane, Toppari, Jorma, Simell, Olli G., Adamsson, Annika, Hyöty, Heikki, Ilonen, Jorma, Jokipuu, Sanna, Kallio, Tiina, Kähönen, Miia, Knip, Mikael, Koivu, Annika, Koreasalo, Mirva, Kurppa, Kalle, Lönnrot, Maria, Mäntymäki, Elina, Multasuo, Katja, Mykkänen, Juha, Niininen, Tiina, Nyblom, Mia, Rajala, Petra, Rautanen, Jenna, Riikonen, Anne, Romo, Minna, Simell, Satu, Simell, Tuula, Simell, Ville, Sjöberg, Maija, Stenius, Aino, Särmä, Maria, Vainionpää, Sini, Varjonen, Eeva, Veijola, Riitta, Virtanen, Suvi M., Vähä-Mäkilä, Mari, Åkerlund, Mari, Lernmark, Åke, Agardh, Daniel, Ask, Maria, Bremer, Jenny, Carlsson, Ulla-Marie, Cilio, Corrado, Ericson-Hallström, Emelie, Fransson, Lina, Gard, Thomas, Gerardsson, Joanna, Bennet, Rasmus, Hansen, Monica, Hansson, Gertie, Harmby, Cecilia, Hyberg, Susanne, Johansen, Fredrik, Jonasdottir, Berglind, Larsson, Helena Elding, Forss, Sigrid Lenrick, Lundgren, Markus, Månsson-Martinez, Maria, Markan, Maria, Melin, Jessica, Mestan, Zeliha, Rahmati, Kobra, Ramelius, Anita, Rosenquist, Anna, Salami, Falastin, Sibthorpe, Sara, Sjöberg, Birgitta, Swartling, Ulrica, Amboh, Evelyn Tekum, Trulsson, Erika, Törn, Carina, Wallin, Anne, Wimar, Åsa, Åberg, Sofie, Hagopian, William A., Killian, Michael, Crouch, Claire Cowen, Skidmore, Jennifer, Ayres, Stephen, Dunson, Kayleen, Hervey, Rachel, Johnson, Corbin, Lyons, Rachel, Meyer, Arlene, Mulenga, Denise, Scott, Elizabeth, Stabbert, Joshua, Tarr, Alexander, Uland, Morgan, Willis, John, Becker, Dorothy, Franciscus, Margaret, Smith, MaryEllen Dalmagro-Elias, Daftary, Ashi, Klein, Mary Beth, Yates, Chrystal, Krischer, Jeffrey P., Abbondondolo, Michael, Austin-Gonzalez, Sarah, Baethke, Sandra, Brown, Rasheedah, Burkhardt, Brant, Butterworth, Martha, Clasen, Joanna, Cuthbertson, David, Eberhard, Christopher, Fiske, Steven, Garcia, Dena, Garmeson, Jennifer, Gowda, Veena, Heyman, Kathleen, Laras, Francisco Perez, Lee, Hye-Seung, Liu, Shu, Liu, Xiang, Lynch, Kristian, Malloy, Jamie, McCarthy, Cristina, McLeod, Wendy, Meulemans, Steven, Shaffer, Chris, Smith, Laura, Smith, Susan, Sulman, Noah, Tamura, Roy, Uusitalo, Ulla, Vehik, Kendra, Vijayakandipan, Ponni, Wood, Keith, Yang, Jimin, Ballard, Lori, Hadley, David, Akolkar, Beena, Bourcier, Kasia, Briese, Thomas, Johnson, Suzanne Bennett, and Triplett, Eric

Published
2016
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19. Gestational respiratory infections interacting with offspring HLA and CTLA-4 modifies incident β-cell autoantibodies

Author

Lynch, Kristian F., primary, Lee, Hye-Seung, additional, Törn, Carina, additional, Vehik, Kendra, additional, Krischer, Jeffrey P., additional, Larsson, Helena Elding, additional, Haller, Michael J., additional, Hagopian, William A., additional, Rewers, Marian J., additional, She, Jin-Xiong, additional, Simell, Olli G., additional, Toppari, Jorma, additional, Ziegler, Anette-G., additional, Akolkar, Beena, additional, Hyöty, Heikki, additional, Bonifacio, Ezio, additional, and Lernmark, Åke, additional

Published
2018
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20. Effects of Gluten Intake on Risk of Celiac Disease: A Case-Control Study on a Swedish Birth Cohort

Author

Andrén Aronsson, Carin, primary, Lee, Hye-Seung, additional, Koletzko, Sibylle, additional, Uusitalo, Ulla, additional, Yang, Jimin, additional, Virtanen, Suvi M., additional, Liu, Edwin, additional, Lernmark, Åke, additional, Norris, Jill M., additional, Agardh, Daniel, additional, Rewers, Marian, additional, Bautista, Kimberly, additional, Baxter, Judith, additional, Bedoy, Ruth, additional, Felipe-Morales, Daniel, additional, Frohnert, Brigitte I., additional, Gesualdo, Patricia, additional, Hoffman, Michelle, additional, Karban, Rachel, additional, Norris, Jill, additional, Samper-Imaz, Adela, additional, Steck, Andrea, additional, Waugh, Kathleen, additional, Wright, Hali, additional, She, Jin-Xiong, additional, Schatz, Desmond, additional, Hopkins, Diane, additional, Steed, Leigh, additional, Thomas, Jamie, additional, Adams, Janey, additional, Silvis, Katherine, additional, Haller, Michael, additional, Gardiner, Melissa, additional, McIndoe, Richard, additional, Sharma, Ashok, additional, Williams, Joshua, additional, Foghis, Gabriela, additional, Anderson, Stephen W., additional, Robinson, Richard, additional, Ziegler, Anette G., additional, Beyerlein, Andreas, additional, Bonifacio, Ezio, additional, Hummel, Michael, additional, Hummel, Sandra, additional, Foterek, Kristina, additional, Kersting, Mathilde, additional, Knopff, Annette, additional, Peplow, Claudia, additional, Roth, Roswith, additional, Stock, Joanna, additional, Strauss, Elisabeth, additional, Warncke, Katharina, additional, Winkler, Christiane, additional, Toppari, Jorma, additional, Simell, Olli G., additional, Adamsson, Annika, additional, Hyöty, Heikki, additional, Ilonen, Jorma, additional, Jokipuu, Sanna, additional, Kallio, Tiina, additional, Kähönen, Miia, additional, Knip, Mikael, additional, Koivu, Annika, additional, Koreasalo, Mirva, additional, Kurppa, Kalle, additional, Lönnrot, Maria, additional, Mäntymäki, Elina, additional, Multasuo, Katja, additional, Mykkänen, Juha, additional, Niininen, Tiina, additional, Nyblom, Mia, additional, Rajala, Petra, additional, Rautanen, Jenna, additional, Riikonen, Anne, additional, Romo, Minna, additional, Simell, Satu, additional, Simell, Tuula, additional, Simell, Ville, additional, Sjöberg, Maija, additional, Stenius, Aino, additional, Särmä, Maria, additional, Vainionpää, Sini, additional, Varjonen, Eeva, additional, Veijola, Riitta, additional, Vähä-Mäkilä, Mari, additional, Åkerlund, Mari, additional, Aronsson, Carin Andrén, additional, Ask, Maria, additional, Bremer, Jenny, additional, Carlsson, Ulla-Marie, additional, Cilio, Corrado, additional, Ericson-Hallström, Emelie, additional, Fransson, Lina, additional, Gard, Thomas, additional, Gerardsson, Joanna, additional, Bennet, Rasmus, additional, Hansen, Monica, additional, Hansson, Gertie, additional, Harmby, Cecilia, additional, Hyberg, Susanne, additional, Johansen, Fredrik, additional, Jonasdottir, Berglind, additional, Larsson, Helena Elding, additional, Forss, Sigrid Lenrick, additional, Lundgren, Markus, additional, Månsson-Martinez, Maria, additional, Markan, Maria, additional, Melin, Jessica, additional, Mestan, Zeliha, additional, Rahmati, Kobra, additional, Ramelius, Anita, additional, Rosenquist, Anna, additional, Salami, Falastin, additional, Sibthorpe, Sara, additional, Sjöberg, Birgitta, additional, Swartling, Ulrica, additional, Amboh, Evelyn Tekum, additional, Trulsson, Erika, additional, Törn, Carina, additional, Wallin, Anne, additional, Wimar, Åsa, additional, Åberg, Sofie, additional, Hagopian, William A., additional, Killian, Michael, additional, Crouch, Claire Cowen, additional, Skidmore, Jennifer, additional, Ayres, Stephen, additional, Dunson, Kayleen, additional, Hervey, Rachel, additional, Johnson, Corbin, additional, Lyons, Rachel, additional, Meyer, Arlene, additional, Mulenga, Denise, additional, Scott, Elizabeth, additional, Stabbert, Joshua, additional, Tarr, Alexander, additional, Uland, Morgan, additional, Willis, John, additional, Becker, Dorothy, additional, Franciscus, Margaret, additional, Smith, MaryEllen Dalmagro-Elias, additional, Daftary, Ashi, additional, Klein, Mary Beth, additional, Yates, Chrystal, additional, Krischer, Jeffrey P., additional, Abbondondolo, Michael, additional, Austin-Gonzalez, Sarah, additional, Baethke, Sandra, additional, Brown, Rasheedah, additional, Burkhardt, Brant, additional, Butterworth, Martha, additional, Clasen, Joanna, additional, Cuthbertson, David, additional, Eberhard, Christopher, additional, Fiske, Steven, additional, Garcia, Dena, additional, Garmeson, Jennifer, additional, Gowda, Veena, additional, Heyman, Kathleen, additional, Laras, Francisco Perez, additional, Liu, Shu, additional, Liu, Xiang, additional, Lynch, Kristian, additional, Malloy, Jamie, additional, McCarthy, Cristina, additional, McLeod, Wendy, additional, Meulemans, Steven, additional, Shaffer, Chris, additional, Smith, Laura, additional, Smith, Susan, additional, Sulman, Noah, additional, Tamura, Roy, additional, Vehik, Kendra, additional, Vijayakandipan, Ponni, additional, Wood, Keith, additional, Ballard, Lori, additional, Hadley, David, additional, Akolkar, Beena, additional, Bourcier, Kasia, additional, Briese, Thomas, additional, Johnson, Suzanne Bennett, additional, and Triplett, Eric, additional

Published
2016
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21. Association Between Early-Life Antibiotic Use and the Risk of Islet or Celiac Disease Autoimmunity.

Author

Kemppainen, Kaisa M., Vehik, Kendra, Lynch, Kristian F., Larsson, Helena Elding, Canepa, Ronald J., Simell, Ville, Koletzko, Sibylle, Liu, Edwin, Simell, Olli G., Toppari, Jorma, Ziegler, Anette G., Rewers, Marian J., Lernmark, Åke, Hagopian, William A., Jin-Xiong She, Akolkar, Beena, Schatz, Desmond A., Atkinson, Mark A., Blaser, Martin J., and Krischer, Jeffrey P.

Published
2017
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22. First-Phase Insulin Responses in the DIPP Trial of Small Children with Genetic Risk for Type 1 Diabetes and Positive Islet Cell Antibodies

Author

MUONA, PAIVI, KUPILA, ANTTI, SAVOLAINEN, HELENA, ARVILOMMI, PAULA, SIMELL, TUULA, KNIP, MIKAEL, and SIMELL, OLLI G

Subjects
Diabetes -- Research, Health
Abstract

In the Finnish DIPP study, islet-cell antibodies (ICA) in serum of children with HLA-DQB1 genotype predisposing to type I DM are measured at 3-6 mo intervals from birth. The Turku [...]

Published
1999

24. Avidity of ICA in Prediction of IDDM

Author

RULLI, MARIS and SIMELL, OLLI G.

Subjects
Diabetes -- Research, Health
Abstract

Analysis of the tightness of binding of islet cell autoantibodies (ICA) to pancreatic islet antigens (avidity) is a potential means to improve prediction of IDDM. In the population-based 'Diabetes prediction [...]

Published
1999

25. Appearance of ICA During the First Three Years of Life in Children at Genetic Risk for Type 1 Diabetes: The Turku DIPP Experience

Author

KUPILA, ANTTI, SAVOLAINEN, HELENA, ARVILOMMI, PAULA, SIMELL, TUULA, MUONA, PAIVI, KORHONEN, SARI, KIMPIMAKI, TEIJA, ILONEN, JORMA, KNIP, MIKAEL, and SIMELL, OLLI G

Subjects
Diabetes -- Research, Health
Abstract

In the Diabetes Prediction and Prevention (DIPP) project children with HLA alleles associated with increased risk for type 1 diabetes (DQBI *02/*0302, *0302/*0603, *0302/x, and males with DQA1*05-DQB1*02/x; x [is [...]

Published
1999

26. First Infant Formula Type and Risk of Islet Autoimmunity in The Environmental Determinants of Diabetes in the Young (TEDDY) Study.

Author

Hummel, Sandra, Beyerlein, Andreas, Tamura, Roy, Uusitalo, Ulla, Aronsson, Carin Andrén, Jimin Yang, Riikonen, Anne, Lernmark, Åke, Rewers, Marian J., Hagopian, William A., Jin-Xiong She, Simell, Olli G., Toppari, Jorma, Ziegler, Anette-G., Akolkar, Beena, Krischer, Jeffrey P., Virtanen, Suvi M., Norris, Jill M., Andrén Aronsson, Carin, and Yang, Jimin

Subjects
INFANT formulas, AUTOIMMUNITY, TYPE 1 diabetes, BREASTFEEDING, FAMILY history (Medicine), GENETICS, AUTOANTIBODIES, BIOLOGICAL assay, CATTLE, DISEASE susceptibility, IMMUNITY, INSULIN, LONGITUDINAL method, MILK, RESEARCH funding
Abstract

Objective: Studies on the introduction of infant formulas and its effect on the risk of islet autoimmunity and type 1 diabetes (T1D) have yielded inconsistent results. We investigated whether the introduction of formula based on hydrolyzed cow's milk as the first formula is associated with reduced islet autoimmunity risk in a large prospective cohort.Research Design and Methods: The Environmental Determinants of Diabetes in the Young (TEDDY) study prospectively monitors 8,676 children at increased genetic risk for T1D. Autoantibodies to insulin, GAD65, and IA2 were measured regularly to define islet autoimmunity. Information on formula feeding was collected by questionnaires at 3 months of age.Results: In survival analyses, after adjustment for family history with T1D, HLA genotype, sex, country, delivery mode, breast-feeding ≥3 months, and seasonality of birth, we observed no significant association with islet autoimmunity in infants who received extensively hydrolyzed compared with nonhydrolyzed cow's milk-based formula as the first formula during the first 3 months (adjusted hazard ratio 1.38 [95% CI 0.95; 2.01]), and a significantly increased risk for extensively hydrolyzed formula introduced during the first 7 days (adjusted hazard ratio 1.57 [1.04; 2.38]). Using a partially hydrolyzed or other formula as the first formula, or no formula, was not associated with islet autoimmunity risk.Conclusions: These results add to the existing evidence that islet autoimmunity risk is not reduced, and may be increased, by using hydrolyzed compared with nonhydrolyzed cow's milk-based infant formula as the first formula in infants at increased genetic risk for T1D. [ABSTRACT FROM AUTHOR]

Published
2017
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27. Factors associated with longitudinal food record compliance in a paediatric cohort study.

Author

Yang, Jimin, Lynch, Kristian F, Uusitalo, Ulla M, Foterek, Kristina, Hummel, Sandra, Silvis, Katherine, Andrén Aronsson, Carin, Riikonen, Anne, Rewers, Marian, She, Jin-Xiong, Ziegler, Anette G, Simell, Olli G, Toppari, Jorma, Hagopian, William A, Lernmark, Åke, Akolkar, Beena, Krischer, Jeffrey P, Norris, Jill M, Virtanen, Suvi M, and Johnson, Suzanne B

Subjects
PEDIATRICS, POSTNATAL care, MENTAL depression, COHORT analysis, LONGITUDINAL method, COMPARATIVE studies, FAMILIES, RESEARCH methodology, MEDICAL cooperation, NUTRITIONAL assessment, PATIENT compliance, QUESTIONNAIRES, RESEARCH, RESEARCH funding, EVALUATION research, LIFESTYLES, RESEARCH bias, FOOD diaries
Abstract

Objective: Non-compliance with food record submission can induce bias in nutritional epidemiological analysis and make it difficult to draw inference from study findings. We examined the impact of demographic, lifestyle and psychosocial factors on such non-compliance during the first 3 years of participation in a multidisciplinary prospective paediatric study.Design: The Environmental Determinants of Diabetes in the Young (TEDDY) study collects a 3 d food record quarterly during the first year of life and semi-annually thereafter. High compliance with food record completion was defined as the participating families submitting one or more days of food record at every scheduled clinic visit.Setting: Three centres in the USA (Colorado, Georgia/Florida and Washington) and three in Europe (Finland, Germany and Sweden).Subjects: Families who finished the first 3 years of TEDDY participation (n 8096).Results: High compliance was associated with having a single child, older maternal age, higher maternal education and father responding to study questionnaires. Families showing poor compliance were more likely to be living far from the study centres, from ethnic minority groups, living in a crowded household and not attending clinic visits regularly. Postpartum depression, maternal smoking behaviour and mother working outside the home were also independently associated with poor compliance.Conclusions: These findings identified specific groups for targeted strategies to encourage completion of food records, thereby reducing potential bias in multidisciplinary collaborative research. [ABSTRACT FROM AUTHOR]

Published
2016
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31. Correction to: Respiratory infections are temporally associated with initiation of type 1 diabetes autoimmunity: the TEDDY study.

Author

Lönnrot, Maria, Lynch, Kristian F., Elding Larsson, Helena, Lernmark, Åke, Rewers, Marian J., Törn, Carina, Burkhardt, Brant R., Briese, Thomas, Hagopian, William A., She, Jin-Xiong, Simell, Olli G., Toppari, Jorma, Ziegler, Anette-G., Akolkar, Beena, Krischer, Jeffrey P., Hyöty, Heikki, and on behalf of the TEDDY Study Group

Abstract

The authors regret that the SNP in SH2B3 was incorrectly referred to as rs3184505 instead of rs3184504 on both mentions in this paper (Methods section and Table 1). [ABSTRACT FROM AUTHOR]

Published
2018
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32. <atl>Recognition of familial dyslipidemias in 5-year-old children using the lipid phenotypes of parents: The STRIP project

Author

Lapinleimu, Jouni, Nuotio, Ilpo O., Lapinleimu, Helena, Simell, Olli G., Rask-Nissilä, Leena, and Viikari, Jorma S.A.

Subjects
*HYPERLIPIDEMIA, *FAMILIAL diseases
Abstract

Adult dyslipidemias may reveal familial and, therefore, offspring dyslipidemias. We evaluated the prevalences of the adult-offspring dyslipidemias in 441 general population families composed of both parents and one 5-year-old child. Family members were classified using the 90th or 10th percentiles for hypercholesterolemia (IIA), hypertriglyceridemia (IV), combined hyperlipidemia (IIB), and low high density lipoprotein cholesterol concentration without hyperlipidemia (hypoHDL). In familial combined hyperlipidemia (FCHL), the IIB-phenotype was in one generation and one of the three hyperlipidemias in the other generation. Finally, the parental dyslipidemia phenotypes and elevated lipids (>80th percentile) that reveal offspring dyslipidemia were selected by stepwise logistic regression. Either the IIA-, IV- or hypoHDL phenotype was found in both generations in 2.8, 2.0 and 1.4% of the families, respectively. FCHL was seen in 1.8% of the families, which confirms the earlier views. The predictive values of the elevated parental cholesterol, type IV or hypoHDL parents to find type IIA, IV and hypoHDL children were low for systematic screening: 16, 13 and 15%, respectively. However, 44% of the children of IIB parents expressed hyperlipidemia (odds ratio 4.7, P=0.006). The IIB phenotype of the parent is a good predictor of the child''s hyperlipidemia, and when encountered, it indicates that the lipids of the child should be studied. This would be as important as selective screening of familial hypercholesterolemia. [Copyright &y& Elsevier]

Published
2002
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