Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.17/3747 |
Resumo: | Objectives We aimed to evaluate children with type 1 diabetes (T1D) with early age at onset (EAO) for clinical, immune and metabolic features in order to identify age-related disease phenotypes. Methods Comparative study of two groups of T1D children: EAO (≤5 years) and later age at onset (LAO; >5 years), regarding the presence of other autoimmune (AI) diseases, diabetes ketoacidosis and immunologic profile at onset and metabolic data 1 year after diagnosis. Statistical analysis was performed with significance set for p < 0.05. Results The study included 137 children (EAO = 52, mean age 3.6 ± 1.5 [mean ± standard deviation (SD)] and LAO = 85, mean age 10.4 ± 2.9). EAO was more associated with concomitant AI diseases (p = 0.032). Despite no differences in disease onset, EAO presented with lower C-peptide levels (p = 0.01) and higher absolute lymphocyte number (p < 0.0001), with an inverse correlation between these two variables (p = 0.028). Additionally, the EAO group had a higher frequency of serum detection of three antibodies (Abs) (p = 0.0008), specifically insulin Abs (p = 0.0001). One year after diagnosis, EAO had higher total daily insulin (TDI) dose (p = 0.008), despite similar hemoglobin A1c (HbA1c). Conclusions Our data show an association of EAO T1D with more AI diseases, higher number of Abs, lower initial insulin reservoir and higher insulin requirements 1 year after diagnosis. In this group, immune imbalance seems more evident and disease progression faster, probably reflecting distinct "immune environment" with different ages at disease onset. Further studies in the field of immunogenetics and immune tolerance are required, to improve patient stratification and find novel targets for therapeutic intervention. |
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Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic PhenotypesAdolescentAge of OnsetAutoantibodiesAutoimmune DiseasesBiomarkersBlood GlucoseC-PeptideChildChild, PreschoolDiabetes Mellitus, Type 1Diabetic KetoacidosisFemaleFollow-Up StudiesGlycated Hemoglobin AHumansHypoglycemic AgentsInfantInfant, NewbornInsulinMalePhenotypePrognosisRetrospective StudiesHDE END PEDObjectives We aimed to evaluate children with type 1 diabetes (T1D) with early age at onset (EAO) for clinical, immune and metabolic features in order to identify age-related disease phenotypes. Methods Comparative study of two groups of T1D children: EAO (≤5 years) and later age at onset (LAO; >5 years), regarding the presence of other autoimmune (AI) diseases, diabetes ketoacidosis and immunologic profile at onset and metabolic data 1 year after diagnosis. Statistical analysis was performed with significance set for p < 0.05. Results The study included 137 children (EAO = 52, mean age 3.6 ± 1.5 [mean ± standard deviation (SD)] and LAO = 85, mean age 10.4 ± 2.9). EAO was more associated with concomitant AI diseases (p = 0.032). Despite no differences in disease onset, EAO presented with lower C-peptide levels (p = 0.01) and higher absolute lymphocyte number (p < 0.0001), with an inverse correlation between these two variables (p = 0.028). Additionally, the EAO group had a higher frequency of serum detection of three antibodies (Abs) (p = 0.0008), specifically insulin Abs (p = 0.0001). One year after diagnosis, EAO had higher total daily insulin (TDI) dose (p = 0.008), despite similar hemoglobin A1c (HbA1c). Conclusions Our data show an association of EAO T1D with more AI diseases, higher number of Abs, lower initial insulin reservoir and higher insulin requirements 1 year after diagnosis. In this group, immune imbalance seems more evident and disease progression faster, probably reflecting distinct "immune environment" with different ages at disease onset. Further studies in the field of immunogenetics and immune tolerance are required, to improve patient stratification and find novel targets for therapeutic intervention.De GruyterRepositório do Centro Hospitalar Universitário de Lisboa Central, EPESales Luis, MAlcafache, MFerreira, SFitas, ALSimões Pereira, JCaramalho, ILopes, LLimbert, C2021-06-24T08:37:22Z2019-09-252019-09-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/3747engJ Pediatr Endocrinol Metab.2019;32(9):935-94110.1515/jpem-2019-0103info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-10T09:44:11Zoai:repositorio.chlc.min-saude.pt:10400.17/3747Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:21:04.060751Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes |
title |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes |
spellingShingle |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes Sales Luis, M Adolescent Age of Onset Autoantibodies Autoimmune Diseases Biomarkers Blood Glucose C-Peptide Child Child, Preschool Diabetes Mellitus, Type 1 Diabetic Ketoacidosis Female Follow-Up Studies Glycated Hemoglobin A Humans Hypoglycemic Agents Infant Infant, Newborn Insulin Male Phenotype Prognosis Retrospective Studies HDE END PED |
title_short |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes |
title_full |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes |
title_fullStr |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes |
title_full_unstemmed |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes |
title_sort |
Children with Type 1 Diabetes of Early Age at Onset - Immune and Metabolic Phenotypes |
author |
Sales Luis, M |
author_facet |
Sales Luis, M Alcafache, M Ferreira, S Fitas, AL Simões Pereira, J Caramalho, I Lopes, L Limbert, C |
author_role |
author |
author2 |
Alcafache, M Ferreira, S Fitas, AL Simões Pereira, J Caramalho, I Lopes, L Limbert, C |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE |
dc.contributor.author.fl_str_mv |
Sales Luis, M Alcafache, M Ferreira, S Fitas, AL Simões Pereira, J Caramalho, I Lopes, L Limbert, C |
dc.subject.por.fl_str_mv |
Adolescent Age of Onset Autoantibodies Autoimmune Diseases Biomarkers Blood Glucose C-Peptide Child Child, Preschool Diabetes Mellitus, Type 1 Diabetic Ketoacidosis Female Follow-Up Studies Glycated Hemoglobin A Humans Hypoglycemic Agents Infant Infant, Newborn Insulin Male Phenotype Prognosis Retrospective Studies HDE END PED |
topic |
Adolescent Age of Onset Autoantibodies Autoimmune Diseases Biomarkers Blood Glucose C-Peptide Child Child, Preschool Diabetes Mellitus, Type 1 Diabetic Ketoacidosis Female Follow-Up Studies Glycated Hemoglobin A Humans Hypoglycemic Agents Infant Infant, Newborn Insulin Male Phenotype Prognosis Retrospective Studies HDE END PED |
description |
Objectives We aimed to evaluate children with type 1 diabetes (T1D) with early age at onset (EAO) for clinical, immune and metabolic features in order to identify age-related disease phenotypes. Methods Comparative study of two groups of T1D children: EAO (≤5 years) and later age at onset (LAO; >5 years), regarding the presence of other autoimmune (AI) diseases, diabetes ketoacidosis and immunologic profile at onset and metabolic data 1 year after diagnosis. Statistical analysis was performed with significance set for p < 0.05. Results The study included 137 children (EAO = 52, mean age 3.6 ± 1.5 [mean ± standard deviation (SD)] and LAO = 85, mean age 10.4 ± 2.9). EAO was more associated with concomitant AI diseases (p = 0.032). Despite no differences in disease onset, EAO presented with lower C-peptide levels (p = 0.01) and higher absolute lymphocyte number (p < 0.0001), with an inverse correlation between these two variables (p = 0.028). Additionally, the EAO group had a higher frequency of serum detection of three antibodies (Abs) (p = 0.0008), specifically insulin Abs (p = 0.0001). One year after diagnosis, EAO had higher total daily insulin (TDI) dose (p = 0.008), despite similar hemoglobin A1c (HbA1c). Conclusions Our data show an association of EAO T1D with more AI diseases, higher number of Abs, lower initial insulin reservoir and higher insulin requirements 1 year after diagnosis. In this group, immune imbalance seems more evident and disease progression faster, probably reflecting distinct "immune environment" with different ages at disease onset. Further studies in the field of immunogenetics and immune tolerance are required, to improve patient stratification and find novel targets for therapeutic intervention. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-25 2019-09-25T00:00:00Z 2021-06-24T08:37:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.17/3747 |
url |
http://hdl.handle.net/10400.17/3747 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
J Pediatr Endocrinol Metab.2019;32(9):935-941 10.1515/jpem-2019-0103 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
De Gruyter |
publisher.none.fl_str_mv |
De Gruyter |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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