Familial Coaggregation of Asthma and Type 1 Diabetes in Children

Smew, Awad I.; Lundholm, Cecilia; Sävendahl, Lars; Lichtenstein, Paul; Almqvist, Catarina

doi:10.1001/jamanetworkopen.2020.0834

Cited by 28 publications

(38 citation statements)

References 43 publications

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“…Studies in patients indicated positive associations between asthma and type 1 diabetes ( 36 , 37 ). However, the mechanisms implicated are still unclear.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, NOD mice could represent a unique model to better understand the key mechanisms implicated in the association between allergic airway inflammation and autoimmune diabetes. Future studies are required to determine for instance, as reported in humans ( 37 ), whether the asthma protocol using HDM sensitization and challenge could modify the incidence of diabetes in NOD mice.…”

Section: Discussionmentioning

confidence: 99%

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IL-4 and IL-17 Are Required for House Dust Mite-Driven Airway Hyperresponsiveness in Autoimmune Diabetes-Prone Non-Obese Diabetic Mice

et al. 2021

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Allergic asthma is characterized by airway inflammation with a Th2-type cytokine profile, hyper-IgE production, mucus hypersecretion, and airway hyperreactivity (AHR). It is increasingly recognized that asthma is a heterogeneous disease implicating complex immune mechanisms resulting in distinct endotypes observed in patients. In this study, we showed that non-obese diabetic (NOD) mice, which spontaneously develop autoimmune diabetes, undergo more severe allergic asthma airway inflammation and AHR than pro-Th2 BALB/c mice upon house dust mite (HDM) sensitization and challenge. The use of IL-4-deficient NOD mice and the in vivo neutralization of IL-17 demonstrated that both IL-4 and IL-17 are responsible by the exacerbated airway inflammation and AHR observed in NOD mice. Overall, our findings indicate that autoimmune diabetes-prone NOD mice might become useful as a new HDM-induced asthma model to elucidate allergic dysimmune mechanisms involving Th2 and Th17 responses that could better mimic some asthmatic endoytpes.

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“…Studies in patients indicated positive associations between asthma and type 1 diabetes ( 36 , 37 ). However, the mechanisms implicated are still unclear.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

IL-4 and IL-17 Are Required for House Dust Mite-Driven Airway Hyperresponsiveness in Autoimmune Diabetes-Prone Non-Obese Diabetic Mice

et al. 2021

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“…A recent birth cohort study of children born in Sweden examined the possibility of a shared risk of asthma and T1DM by studying their pattern of familial coaggregation [ 89 ]. This study demonstrated the co-occurrence of the two diseases with an apparent unidirectional sequential appearance.…”

Section: Temporal Relationship Between Asthma and Type 1 Diabetes: Asthma To Type 1 Diabetes Or Type 1 Diabetes To Asthma?mentioning

confidence: 99%

“…In contrast, T1DM was not associated with subsequent risk of asthma (HR, 0.92; 95%CI, 0.75–1.12). Siblings of individuals with asthma or T1DM were at an increased risk of subsequent T1DM and asthma, respectively [ 89 ]. Metsälä et al [ 90 ] showed a higher incidence of T1DM in Finnish children with asthma (0.6%) than healthy children (0.4%), whereas a lower asthma incidence was observed in children with T1DM (1.7%) than in healthy children (2.7%) [ 90 ].…”

Section: Temporal Relationship Between Asthma and Type 1 Diabetes: Asthma To Type 1 Diabetes Or Type 1 Diabetes To Asthma?mentioning

confidence: 99%

“…Metsälä et al [ 90 ] showed a higher incidence of T1DM in Finnish children with asthma (0.6%) than healthy children (0.4%), whereas a lower asthma incidence was observed in children with T1DM (1.7%) than in healthy children (2.7%) [ 90 ]. The coaggregation family studies in literature stress the importance of temporal sequential appearance of autoimmune and atopic diseases [ 89 , 90 ]. We speculate that these findings might not be applicable to a general population because the studies were carried out only in specific ethnic groups.…”

Section: Temporal Relationship Between Asthma and Type 1 Diabetes: Asthma To Type 1 Diabetes Or Type 1 Diabetes To Asthma?mentioning

confidence: 99%

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Coaggregation of Asthma and Type 1 Diabetes in Children: A Narrative Review

Sgrazzutti

Sansone

Attanasi

et al. 2021

IJMS

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Asthma and type 1 diabetes mellitus (T1DM) are two of the most frequent chronic diseases in children, representing a model of the atopic and autoimmune diseases respectively. These two groups of disorders are mediated by different immunological pathways, T helper (Th)1 for diabetes and Th2 for asthma. For many years, these two groups were thought to be mutually exclusive according to the Th1/Th2 paradigm. In children, the incidence of both diseases is steadily increasing worldwide. In this narrative review, we report the evidence of the potential link between asthma and T1DM in childhood. We discuss which molecular mechanisms could be involved in the link between asthma and T1DM, such as genetic predisposition, cytokine patterns, and environmental influences. Cytokine profile of children with asthma and T1DM shows an activation of both Th1 and Th2 pathways, suggesting a complex genetic-epigenetic interaction. In conclusion, in children, the potential link between asthma and T1DM needs further investigation to improve the diagnostic and therapeutic approach to these patients. The aim of this review is to invite the pediatricians to consider the potential copresence of these two disorders in clinical practice.

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A high‐performance SNP panel developed by machine‐learning approaches for characterizing genetic differences of Southern and Northern Han Chinese, Korean, and Japanese individuals

Zhao

Guo

et al. 2022

Electrophoresis

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Population stratification analyses targeting genetically closely related East Asians have revealed that distinguishable differentiation exists between Han Chinese, Korean, and Japanese individuals, as well as between southern (S-) and northern (N-) Han Chinese. Previous studies offer a number of choices for ancestry informative single nucleotide polymorphisms (AISNPs) to discriminate East-Asian populations. In this study, we collected and examined the efficiency of 1185 AISNPs using frequency and genotype data from various publicly available databases. With the aim to perform fine-scale classification of S-Han, N-Han, Korean, and Japanese subjects, machine-learning methods (Softmax and Random Forest) were used to screen a panel of highly informative AISNPs and to develop a superior classification model. Stepwise classification was implemented to increase and balance the discrimination in the process of AISNP selection, first discriminating Han, Korean, and Japanese individuals, and then characterizing stratification between S-Han and N-Han. The final 272-AISNP panel is an alternative optimization of various previous works, which promises reliable and >90% accuracy in classification of the four East-Asian groups. This AISNP panel and the machine-learning model could be a useful and superior choice in medi-

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Familial Coaggregation of Asthma and Type 1 Diabetes in Children

Cited by 28 publications

References 43 publications

IL-4 and IL-17 Are Required for House Dust Mite-Driven Airway Hyperresponsiveness in Autoimmune Diabetes-Prone Non-Obese Diabetic Mice

IL-4 and IL-17 Are Required for House Dust Mite-Driven Airway Hyperresponsiveness in Autoimmune Diabetes-Prone Non-Obese Diabetic Mice

Coaggregation of Asthma and Type 1 Diabetes in Children: A Narrative Review

A high‐performance SNP panel developed by machine‐learning approaches for characterizing genetic differences of Southern and Northern Han Chinese, Korean, and Japanese individuals

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