HLA-DQB1-defined genetic susceptibility, beta cell autoimmunity, and metabolic characteristics in familial and nonfamilial insulin-dependent diabetes mellitus. Childhood Diabetes in Finland (DiMe) Study Group

Clinico-Metabolic Profile and Follow-Up of Familial Cases Compared to Sporadic Cases in a Lyon Series of Type 1 Diabetic Children

OBJECTIVE

This study aimed to describe the clinical, biochemical, therapeutic, and progressive characteristics of children with familial type 1 diabetes (T1D) compared to those with non-familial T1D. Compare within the first group, the phenotype of type 1 diabetics inherited from the father with those inherited from the mother.

PATIENTS AND METHODS

We conducted a retrospective study lasting 10 years at the L'hôpital Femme Mère Enfant (Woman-Mother-Child Hospital) in Lyon, France. Cases were any child diagnosed with T1D for at least 12 months who had a parent with T1D. Each case was matched with a T1D control without a family history of T1D, of the same age, same sex and same year of discovery. Cases group was divided into two subgroups according to the sex of the parent with T1D.

RESULTS

A total of 43 children had a TD1 parent (family group) of whom 27 cases were the father. Forty four T1D children without any T1D parent were matched (sporadic group). The family group had consulted earlier (p < 0.001), were less in initial diabetic ketoacidosis (p = 0.016), and had a lower HbA1C level lower (p < 0.001) and lower initial insulin requirements (p < 0.001). During follow-up, it was noted that the evolution of Hb1AC, insulin requirements, and chronic complications were similar in familial and non-familial cases (p = 0.943, p = 0.450, p = 0.664, respectively). The patients in the T1D mother group seemed better balanced than those of the T1D father with an average HbA1C at 10 years of follow-up of 7.82% in the maternal group compared to 9.10% in the paternal group (p = 0.021).

CONCLUSION

This study shows that familial T1D is a protective factor against the initial severity of T1D in offspring. Paternal T1D presents a more severe initial and progressive clinico-biological character than T1D inherited from the mother. However, during follow-up, other psycho-environmental factors could modify this observation.

Exploring the severity and early onset of familial type 1 diabetes in Romania: genetic and microbiota insights

Type 1 diabetes mellitus (T1DM) is a chronic condition characterized by pancreatic autoimmunity and destruction of the insulin producing beta-cells. The risk of familial type 1 diabetes (FT1DM) is greater in families with paternal T1DM. The children with paternal FT1DM have a more severe form of the disease with diabetic ketoacidosis. Three families with FT1DM, out of which two with paternal diabetes and daughters diagnosed with this disease, and one family with sibling FT1DM were evaluated between 2019-2021 in the Pediatric Diabetes and the Diabetes, Nutrition and Metabolic Departments of a tertiary hospital. Clinical, biological, and genetic evaluations were performed, together with an assessment of the gastrointestinal microbiota. The Romanian children with FT1DM had a more severe onset, a median of age at onset of 9 years old and a genetic predisposition with positive HLA DR3/R4, DQB1*02:01. The protecting allele, DPB1*04:01, was found only in the siblings with FT1DM. A gastrointestinal dysbiosis, characterized by pro-inflammatory bacteria, with high levels of Enterobacteriaceae and Candida, was observed in the gut microbiota. This is the first case series of FT1DM in Romanian patients that shows the presence of genetic determinants but also a pathological microbiota which may determine a more severe and an early-age onset of disease.

Maternal type 1 diabetes and relative protection against offspring transmission

Type 1 diabetes is around twice as common in the offspring of men with type 1 diabetes than in the offspring of women with type 1 diabetes, but the reasons for this difference are unclear. This Review summarises the evidence on the rate of transmission of type 1 diabetes to the offspring of affected fathers compared with affected mothers. The findings of nine major studies are presented, describing the magnitude of the effect observed and the relative strengths and weaknesses of these studies. This Review also explores possible underlying mechanisms for this effect, such as genetic mechanisms (eg, the selective loss of fetuses with high-risk genes in mothers with type 1 diabetes, preferential transmission of susceptibility genes from fathers, and parent-of-origin effects influencing gene expression), environmental exposures (eg, exposure to maternal hyperglycaemia, exogenous insulin exposure, and transplacental antibody transfer), and maternal microchimerism. Understanding why type 1 diabetes is more common in the offspring of men versus women with type 1 diabetes will help in the identification of individuals at high risk of the disease and can pave the way in the development of interventions that mimic the protective elements of maternal type 1 diabetes to reduce the risk of disease in individuals at high risk.

Increased HLA class II risk is associated with a more aggressive presentation of clinical type 1 diabetes

AIM

To determine the association of HLA class II risk with the demographic and clinical characteristics of type 1 diabetes at diagnosis.

METHODS

We conducted a register-based retrospective cohort study of 4993 Finnish children (2169 girls) - diagnosed with type 1 diabetes under the age of 15 years in 2003-2016. The participants were divided into six risk groups based on their HLA DR/DQ genotype. Demographic characteristics, family history of type 1 diabetes and metabolic markers at the time of diagnosis were compared between the groups.

RESULTS

In total, 4056/4993 children (81.2%) carried an HLA genotype associated with an increased risk of type 1 diabetes (risk groups 3-5), whereas 937/4993 children (18.8%) carried a HLA genotype conferring no or decreased disease risk. Children with higher HLA risk were younger at diagnosis (p < 0.001) and had a shorter duration of classical symptoms before diagnosis (p = 0.016). Subjects in the high-risk group were more likely to have a family member affected by type 1 diabetes when compared to those in the neutral risk group (11.5% vs. 8.8%, p = 0.05).

CONCLUSION

Children with stronger HLA disease susceptibility are younger at their disease manifestation and have a shorter period of symptoms before diagnosis, suggesting that the HLA class II genes are associated with a more aggressive disease presentation.

Factors Associated With Diabetic Ketoacidosis at Onset of Type 1 Diabetes Among Pediatric Patients: A Systematic Review

IMPORTANCE

Presenting with diabetic ketoacidosis (DKA) at onset of type 1 diabetes (T1D) remains a risk. Following a 2011 systematic review, considerable additional articles have been published, and the review required updating.

OBJECTIVE

To evaluate factors associated with DKA at the onset of T1D among pediatric patients.

EVIDENCE REVIEW

In this systematic review, PubMed, Embase, Scopus, CINAHL, Web of Science, and article reference lists were searched using the population, intervention, comparison, outcome search strategy for primary research studies on DKA and T1D onset among individuals younger than 18 years that were published from January 2011 to November 2021. These studies were combined with a 2011 systematic review on the same topic. Data were pooled using a random-effects model.

FINDINGS

A total of 2565 articles were identified; 149 were included, along with 46 from the previous review (total 195 articles). Thirty-eight factors were identified and examined for their association with DKA at T1D onset. Factors associated with increased risk of DKA were younger age at T1D onset (<2 years vs ≥2 years; odds ratio [OR], 3.51; 95% CI, 2.85-4.32; P < .001), belonging to an ethnic minority population (OR, 0.40; 95% CI, 0.21-0.74; P = .004), and family history of T1D (OR, 0.46; 95% CI, 0.37-0.57; P < .001), consistent with the 2011 systematic review. Some factors that were not associated with DKA in the 2011 systematic review were associated with DKA in the present review (eg, delayed diagnosis: OR, 2.27; 95% CI, 1.72-3.01; P < .001). Additional factors associated with risk of DKA among patients with new-onset T1D included participation in screening programs (OR, 0.35; 95% CI, 0.21-0.59; P < .001) and presentation during the COVID-19 pandemic (OR, 2.32; 95% CI, 1.76-3.06; P < .001).

CONCLUSIONS AND RELEVANCE

In this study, age younger than 2 years at T1D onset, belonging to an ethnic minority population, delayed diagnosis or misdiagnosis, and presenting during the COVID-19 pandemic were associated with increased risk of DKA. Factors associated with decreased risk of DKA included greater knowledge of key signs or symptoms of DKA, such as a family history of T1D or participation in screening programs. Future work should focus on identifying and implementing strategies related to these factors to reduce risk of DKA among new patients with T1D.

Effect of COVID-19 pandemic on presentation and referral patterns of newly diagnosed children with type 1 diabetes in a developing country

OBJECTIVES

The global spread of coronavirus disease 2019 (COVID-19), had a great impact on patients worldwide, including those with chronic diseases. We aim to study the effect of COVID-19 pandemic on presentation patterns of patients with type 1 diabetes (T1D) in Jordan, as an example a developing country with limited resources.

METHODS

Medical charts were reviewed for patients presented with new-onset T1D to Jordan University hospital during the first year of pandemic and the preceding year. Categorical data were compared using Pearson Chi-Square and Fisher's exact test. Continuous data were compared using the Independent Sample t-Test.

RESULTS

A total of 137 children were diagnosed with T1D during the study period, with 60.6% of those children were diagnosed in the pre-pandemic year compared to 39.4% during the first year of pandemic, p-value=0.013. Percentage of patients diagnosed with DKA as first presentation of T1D during the pre-pandemic year was 34.9% compared to 51.9% during the pandemic year, p-value=0.049. Significant differences in family monthly income (p-value=0.006) and paternal education level (p-value=0.036) were found between children with DKA and those without DKA in the pre-pandemic year, but they were not significant during the pandemic year.

CONCLUSIONS

The unprecedented COVID-19 pandemic had affected presentation pattern of newly diagnosed T1D patients, manifested by lower number of children diagnosed with T1D and higher percentage of DKA as first presentation compared to the preceding year. Health care services should be at utmost preparedness for possible future waves and other pandemics.

Sib-pair subgroup familial type 1 diabetes mellitus in children in the state of Qatar

Background

Type 1 diabetes is the most common type of diabetes mellitus (DM) in children. It can be sporadic in onset or cluster in families, which comprises parent-offspring and sib-pair subgroups. The risk of developing DM in first-degree relatives of affected individuals is 8–15 fold higher. There is limited data about familial DM from the Gulf region. This study aims to describe the clinical, biochemical and genetic characteristics of sib-pair familial type 1 diabetes in Qatar.

Methods

Every child with DM following up at Sidra Medicine was recruited. Data was collected regarding clinical features, family history, type 1 diabetes autoantibodies and whole genome sequencing was performed. Genetic analysis for MODY genes and HLA association analysis was conducted.

Results

44 families with sib-pair familial diabetes were identified. Of these, 2 families had 4 affected siblings and 5 families had 3 affected siblings. The majority are of Qatari ethnicity and the most common autoantibody was GAD65. The most common age of onset in the proband was 5–9 years while it was 10–14 years in subsequent siblings. The occurrence of DKA & HbA1c levels were lower in the second affected sibling. No relevant MODY gene variants were found. HLA analysis found 15 variants in at least 50% of the subjects. Most common were HLA-F*01*01*01G, HLA- DPA1*01*03*01G, HLA- DRB3*02*02*01G, HLA- E*01*01*01G & DRB4*03*01N.

Conclusions

The prevalence of sib-pair diabetes is 3.64%. The second affected siblings were older. MODY is unlikely and Class I and II HLA genes was present in sib-pair diabetes.

Familial autoimmunity in pediatric patients with type 1 diabetes (T1D) and its associations with the severity of clinical presentation at diabetes diagnosis and with coexisting autoimmunity

PURPOSE

The aim was to evaluate the impact of familial autoimmunity on the age and severity of type 1 diabetes (T1D) presentation and on the coexistence of other autoimmune diseases.

METHODS

We retrospectively evaluated the medical records of 121 children/adolescents (male: 63) followed in our Diabetic Clinic from 2002 to 2016.

RESULTS

Seventy-six patients (62.8%) had at least one relative with an autoimmune disease, Hashimoto's thyroiditis (49.5%) and T1D (22.3%) being the commonest. Children with familial autoimmunity were younger at T1D diagnosis (mean age ± SD) (6.766 ± 3.75). Median fasting c-peptide levels at presentation were not related to familial autoimmunity. Patients with familial autoimmunity more often exhibited GADA autoantibody positivity at diagnosis. The larger the number of the patient's relatives diagnosed with an autoimmune disease, the higher were the patient's GADA levels (Spearman's rho test = 0.19, p = 0.049). Children with a first-degree relative with autoimmunity had a coexisting autoimmune disorder at a significantly higher percentage (p = 0.016). Family history of autoimmunity was negatively associated with the presence of diabetic ketoacidosis (DKA) (p = 0.024). Patients with a relative with T1D less frequently exhibited DKA at diagnosis (12.8 vs. 87.2%, p = 0.003). The presence of DKA was associated with younger age (p = 0.05) and lower c-peptide levels (p = 0.033).

CONCLUSIONS

Familial autoimmunity was present in 62.8% of children with T1D, autoimmune thyroiditis and T1D being the two most frequent familial autoimmune diseases. Familial autoimmunity reduced the risk of DKA at diagnosis, but these patients were younger and had higher levels of pancreatic autoantibodies and a greater risk of developing additional autoimmune diseases.

Heterogeneity in the presentation of clinical type 1 diabetes defined by the level of risk conferred by human leukocyte antigen class II genotypes

OBJECTIVES

The association between human leukocyte antigen (HLA) class II genotypes and susceptibility to type 1 diabetes (T1D) is well established. This study aimed at examining whether there are differences in the presentation of T1D depending on the HLA genotype.

RESEARCH DESIGN AND METHODS

We divided the study participants (N = 5798) in the Finnish Pediatric Diabetes Register into two groups based on the T1D risk conferred by their HLA genotype (high and moderate-risk genotypes, Group 1 vs. other genotypes, Group 2). We then examined differences in clinical, metabolic, and immunological characteristics. Children included in the study were 0-14-year-old and diagnosed between January 2003 and December 2019.

RESULTS

Participants in Group 1 were younger at the time of diagnosis (P < 0.001) and had more frequently family members affected by T1D (P < 0.001). Diabetic ketoacidosis (DKA) was more frequent among participants in Group 2 (P = 0.014) who also had a longer duration of symptoms before diagnosis (P < 0.001) and higher hemoglobin A1c (P = 0.001) at diagnosis. The HLA genotype was not, however, directly related to the DKA frequency. The frequency of islet cell antibodies (P < 0.003), insulin autoantibodies (P < 0.001), and islet antigen 2 autoantibodies (P < 0.001) was higher in Group 1 whereas glutamic acid decarboxylase autoantibodies were more frequent (P < 0.001) in Group 2. Group 1 had more participants with multiple autoantibodies (P = 0.027) whereas antibody negativity was more frequent in Group 2 (P = 0.003).

CONCLUSIONS

These findings indicate disease heterogeneity in relation to both clinical disease presentation and humoral autoimmunity, in particular. This heterogeneity is, at least partly, defined by HLA Class II genotypes.

Alterations in Biomarkers Related to Glycemia, Lipid Metabolism, and Inflammation up to 20 Years Before Diagnosis of Type 1 Diabetes in Adults: Findings From the AMORIS Cohort

OBJECTIVE

Type 1 diabetes is described to have an acute onset, but autoantibodies can appear several years preceding diagnosis. This suggests a long preclinical phase, which may also include metabolic parameters. Here we assessed whether elevations in glycemic, lipid, and other metabolic biomarkers were associated with future type 1 diabetes risk in adults.

RESEARCH DESIGN AND METHODS

We studied 591,239 individuals from the Swedish AMORIS cohort followed from 1985-1996 to 2012. Through linkage to national patient, diabetes, and prescription registers, we identified incident type 1 diabetes. Using Cox regression models, we estimated hazard ratios for biomarkers at baseline and incident type 1 diabetes. We additionally assessed trajectories of biomarkers during the 25 years before type 1 diabetes diagnosis in a nested case-control design.

RESULTS

We identified 1,122 type 1 diabetes cases during follow-up (average age of patient at diagnosis: 53.3 years). The biomarkers glucose, fructosamine, triglycerides, the ratio of apolipoprotein (apo)B to apoA-I, uric acid, alkaline phosphatase, and BMI were positively associated with type 1 diabetes risk. Higher apoA-I was associated with lower type 1 diabetes incidence. Already 15 years before diagnosis, type 1 diabetes cases had higher mean glucose, fructosamine, triglycerides, and uric acid levels compared with control subjects.

CONCLUSIONS

Alterations in biomarker levels related to glycemia, lipid metabolism, and inflammation are associated with clinically diagnosed type 1 diabetes risk, and these may be elevated many years preceding diagnosis.

Risk for Coexistent Autoimmune Diseases in Familial and Sporadic Type 1 Diabetes is Related to Age at Diabetes Onset

OBJECTIVE

Type 1 diabetes (T1D) is frequently associated with other autoimmune diseases (AIDs). Although most of T1D patients are sporadic cases (S-T1D), 10% to 15% have a familial form (F-T1D) involving 2 or more first-degree relatives. This study evaluated the effect of T1D family aggregation and age onset on AIDs occurrence.

METHODS

In this observational, cross-sectional, case-control, single center study, we enrolled 115 F-T1D and 115 S-T1D patients matched for gender, age, T1D age onset, and duration. With respect to T1D age onset (before or after 18 years), both groups were further subdivided into young- or adult-onset F-T1D and young- or adult-onset S-T1D. The presence of organ-specific antibodies and/or overt AIDs was evaluated.

RESULTS

The F-T1D group had a higher percentage of AIDs (29.8% vs 18.4%, P = .04) and a significant earlier onset of AIDs at Cox regression analysis (P = .04) than the S-T1D group. Based on multivariate analysis, the adult-onset F-T1D subgroup had the highest prevalence of both additional organ-specific antibodies (60.5%) and overt AIDs (34.9%), whereas the adult S-T1D subgroup was the least frequently involved (29.1% and 12.7%, respectively). In F-T1D patients, offsprings develop T1D and AIDs earlier than their parents do.

CONCLUSIONS

In T1D patients, familial aggregation and adult-onset of T1D increase the risk for coexistent AIDs. These clinical predictors could guide clinicians to address T1D patients for the screening of T1D-related AIDs.

Extended family history of type 1 diabetes in HLA-predisposed children with and without islet autoantibodies

OBJECTIVE

The aim of this study was to explore the extended family history of type 1 diabetes in children at genetic risk and define the impact of a positive family history on the development of islet autoimmunity and type 1 diabetes.

METHODS

The subjects were participants in The Finnish Type 1 Diabetes Prediction and Prevention (DIPP) study and carried increased HLA-conferred risk for type 1 diabetes. The case children (N = 343) were positive for at least one islet autoantibody, and the control children (N = 343) matched by age, gender and class II HLA genotype were negative for islet autoantibodies at the time of data collection. Extended family history of type 1 diabetes was obtained by using a structured questionnaire.

RESULTS

Among children who were autoantibody positive and progressed to type 1 diabetes 62.2% (28/45) had at least one relative with type 1 diabetes. Interestingly, 57.8% of these children (26/45) had such a relative outside the nuclear family compared to 30.7% of children with no autoantibodies (P = .001), 35.2% of those with only classical islet cell antibodies (P = .006), and 35.2% of non-progressors with biochemical autoantibodies (P = 0.011). A positive history of type 1 diabetes in the paternal extended family was more common in children with multiple biochemical autoantibodies compared to those with only one biochemical autoantibody (P = .010). No association between the specificity of the first appearing autoantibody and family history of the disease was found.

CONCLUSIONS

Type 1 diabetes in relatives outside the nuclear family is a significant risk factor for islet autoimmunity and progression to clinical disease in HLA susceptible children.

Diabetic ketoacidosis: A consensus statement of the Italian Association of Medical Diabetologists (AMD), Italian Society of Diabetology (SID), Italian Society of Endocrinology and Pediatric Diabetoloy (SIEDP)

BACKGROUND AND AIM

Diabetic ketoacidosis (DKA) is a serious medical emergency once considered typical of type 1 diabetes (T1DM), but now reported to occur in type 2 and GDM patients as well. DKA can cause severe complications and even prove fatal. The aim of our study was to review recent international and national guidelines on diagnosis, clinical presentation and treatment of diabetic ketoacidosis, to provide practical clinical recommendations.

METHODS AND RESULTS

Electronic databases (MEDLINE (via PUB Med), Scopus, Cochrane library were searched for relevant literature. Most international and national guidelines indicate the same accurate flow chart to diagnose, to evaluate from clinical and laboratory point of view, and treat diabetic ketoacidosis.

CONCLUSION

Prompt diagnosis, rapid execution of laboratory analysis and correct treatment are imperative to reduce the mortality related to diabetic ketoacidosis. These recommendations are designed to help healthcare professionals reduce the frequency and burden of DKA.

Characteristics of familial type 1 diabetes: effects of the relationship to the affected family member on phenotype and genotype at diagnosis

AIMS/HYPOTHESIS

In previous studies, the risk of developing familial type 1 diabetes has been reported to be more than two times higher in the offspring of affected fathers than in those of affected mothers. We tested the hypothesis that index children with an affected father may have a more aggressive disease process at diagnosis than those with other affected first-degree relatives.

METHODS

A cross-sectional, observational study was performed using the Finnish Pediatric Diabetes Register. Clinical and metabolic characteristics, beta cell autoantibodies and HLA class II genetics were analysed from index children in Finland diagnosed before the age of 15 years between January 2003 and December 2016. Information on the presence of type 1 diabetes in first-degree relatives was collected at diagnosis using a structured questionnaire.

RESULTS

Out of 4993 newly diagnosed index children, 519 (10.4%) had familial type 1 diabetes. More than 5% (n = 253, 5.1%) had an affected father, 2.8% (n = 141) had an affected mother, 1.9% (n = 95) had an affected sibling and 0.6% (n = 30) had two or more affected family members. All clinical and metabolic variables were markedly poorer in children with sporadic vs familial diabetes. The index children with an affected father or mother were younger than those with an affected sibling (median age 7.59 vs 6.74 vs 10.73 years, respectively; p < 0.001). After age- and sex-adjusted analyses, index children with an affected father presented more often with ketoacidosis (9.7% vs 3.6%; p = 0.033) and had greater weight loss before diagnosis (3.2% vs 0%; p = 0.006) than those with an affected mother. Children with familial disease tested negative for all autoantibodies more often (3.5% vs 2.1%; p = 0.041) and had insulin autoantibodies more frequently (49.8% vs 42.2%; p = 0.004) than those with sporadic disease. Both major HLA risk haplotypes (DR3-DQ2 and DR4-DQ8) were more often lacking among children with sporadic vs familial disease (15.9% vs 11.2%; p = 0.006). The DR4-DQ8 haplotype was more frequent in the familial vs the sporadic group (75.7% vs 68.5%; p = 0.001) and especially among children with an affected father when compared with children with sporadic disease (77.5% vs 68.5%; p < 0.05). When comparing index children with affected parents diagnosed before or after the birth of the index child, a clear male preponderance was seen among the affected parents diagnosed before the birth of the index child (fathers 66.2% vs mothers 33.8%; p = 0.006), whereas the proportion of fathers and mothers was similar if type 1 diabetes was diagnosed after the birth of the index child.

CONCLUSIONS/INTERPRETATION

The more severe metabolic derangement at diagnosis in children with sporadic type 1 diabetes compared with those with familial type 1 diabetes was confirmed. The higher frequency of diabetic ketoacidosis and increased weight loss at diagnosis in index children with an affected father compared with an affected mother support the hypothesis that paternal type 1 diabetes is associated with more severe disease in the offspring than maternal diabetes. The sex difference seen between affected parents diagnosed before and after the birth of the index child supports the hypothesis that maternal insulin treatment protects against type 1 diabetes.

Disease-Modifying Therapies in Type 1 Diabetes: A Look into the Future of Diabetes Practice

The novel understanding that the presence of multiple islet autoantibodies, indicating islet autoimmunity, inevitably leads to type 1 diabetes mellitus (T1DM) has necessitated the development of a new staging classification system for the condition. Coupled with an improved understanding of the disease course, the realization that T1DM appears to be more heterogeneous than previously thought has led to unique opportunities to develop more targeted therapies that may be applied even before the onset of dysglycemia or symptoms. To date, several therapies have been trialed to delay or halt disease progression in both presymptomatic and clinical T1DM, each demonstrating varying degrees of effectiveness, toxicity, and utility. Key research supports the eventual implementation of immunotherapy in autoimmune diabetes, potentially calling for a paradigm shift among care providers. It will likely be necessary to develop new approaches to trial design and to address potential barriers to progress before an effective treatment for the disease may be achieved.

Clinical and biochemical characteristics of familial type 1 diabetes mellitus (FT1DM) compared to non-familial type 1 DM (NFT1DM)

INTRODUCTION

Familial type 1 diabetes mellitus (FT1DM) comprises parent-offspring and sib-pair subgroups. The clinical and genetic characteristics of FT1DM cases with and without affected family members have been previously studied with varying results. Some investigators found similarity of presenting features whereas others reported significant differences between the two groups.

OBJECTIVE

To describe the clinical and biochemical characteristics of children with FT1DM in comparison with those with non-familial type 1 diabetes mellitus (NFT1DM).

PATIENTS AND METHODS

We performed a cross-sectional retrospective study in a cohort of children and adolescents with T1DM (n=424) aged between 6 months - 16 years attending to Hamad General Hospital Pediatric Diabetes Center, Doha (Qatar) from 2012-2016. They were divided into 2 groups. Group 1 consisted of 62 children and adolescent with FT1DM (parent-offspring or sib-pair). The other group (Group 2) consisted of 431 children and adolescents with NFT1DM. The clinical presentation and prevalence of β-cell autoimmunity (anti-glutamic acid decarboxylase (GAD) antibodies , anti-islet cell and anti-insulin antibodies), thyroid function (Free thyroxine: FT4 and thyroid-stimulating hormone: TSH), anti-thyroid peroxidase antibody (TPO) and anti-tissue transglutaminase (ATT) at their first presentation were recorded, described and analyzed.

RESULTS

FT1 DM was more prevalent in boys versus girls (1.4:1, respectively) whereas the prevalence of NFT1DM did not differ between genders (1:1.1, respectively). F1DM occurred relatively early in childhood (40.7% before the age of 4 years and 72% before 9 years of age) versus NFT1DM which occurred relatively later in life (80% after the age of 4 years and 40% after the age of 9 years). 35.2% of FT1DM presented with diabetic ketoacidosis (DKA) versus 32.5% of T1DM patients. Anti-islet antibodies (Ab) were detected more frequently in FT1DM versus NFT1DM. The prevalence of positive anti-insulin and anti- GAD antibodies did not differ between the two groups. Anti TPO were detected in 27.2% of NFT1DM and 35.5% of FT1DM. A primary hypothyroidism, with positive ATPO, was more prevalent in FT1DM versus NFT1DM. ATT IgA was high in 5% of NFT1DM and 19.8% of FT1DM whereas ATT IgG was high in 4.4 % of NFT1DM and 15.4% of FT1DM.

CONCLUSIONS

FT1DM is more prevalent in boys versus girls and occurs earlier in childhood compared to NFT1DM. Primary hypothyroidism was more prevalent in NFT1DM versus FT1DM. Anti-islet Ab and ATT antibodies were more prevalent in the FT1DM versus NFT1DM. The genetic background may explain some differences between FT1DM and NFT1DM including the age of onset, gender affection, as well as associated autoimmune disorders.

Clinical and biochemical characteristics of familial type 1 diabetes mellitus (FT1DM) compared to non-familial type 1 DM (NFT1DM)

INTRODUCTION

Familial type 1 diabetes mellitus (FT1DM) comprises parent-offspring and sib-pair subgroups. The clinical and genetic characteristics of FT1DM cases with and without affected family members have been previously studied with varying results. Some investigators found similarity of presenting features whereas others reported significant differences between the two groups.

OBJECTIVE

To describe the clinical and biochemical characteristics of children with FT1DM in comparison with those with non-familial type 1 diabetes mellitus (NFT1DM).

PATIENTS AND METHODS

We performed a cross-sectional retrospective study in a cohort of children and adolescents with T1DM (n=424) aged between 6 months - 16 years attending to Hamad General Hospital Pediatric Diabetes Center, Doha (Qatar) from 2012-2016. They were divided into 2 groups. Group 1 consisted of 62 children and adolescent with FT1DM (parent-offspring or sib-pair). The other group (Group 2) consisted of 431 children and adolescents with NFT1DM. The clinical presentation and prevalence of β-cell autoimmunity (anti-glutamic acid decarboxylase (GAD) antibodies , anti-islet cell and anti-insulin antibodies), thyroid function (Free thyroxine: FT4 and thyroid-stimulating hormone: TSH), anti-thyroid peroxidase antibody (TPO) and anti-tissue transglutaminase (ATT) at their first presentation were recorded, described and analyzed.

RESULTS

FT1 DM was more prevalent in boys versus girls (1.4:1, respectively) whereas the prevalence of NFT1DM did not differ between genders (1:1.1, respectively). F1DM occurred relatively early in childhood (40.7% before the age of 4 years and 72% before 9 years of age) versus NFT1DM which occurred relatively later in life (80% after the age of 4 years and 40% after the age of 9 years). 35.2% of FT1DM presented with diabetic ketoacidosis (DKA) versus 32.5% of T1DM patients. Anti-islet antibodies (Ab) were detected more frequently in FT1DM versus NFT1DM. The prevalence of positive anti-insulin and anti- GAD antibodies did not differ between the two groups. Anti TPO were detected in 27.2% of NFT1DM and 35.5% of FT1DM. A primary hypothyroidism, with positive ATPO, was more prevalent in FT1DM versus NFT1DM. ATT IgA was high in 5% of NFT1DM and 19.8% of FT1DM whereas ATT IgG was high in 4.4 % of NFT1DM and 15.4% of FT1DM.

CONCLUSIONS

FT1DM is more prevalent in boys versus girls and occurs earlier in childhood compared to NFT1DM. Primary hypothyroidism was more prevalent in NFT1DM versus FT1DM. Anti-islet Ab and ATT antibodies were more prevalent in the FT1DM versus NFT1DM. The genetic background may explain some differences between FT1DM and NFT1DM including the age of onset, gender affection, as well as associated autoimmune disorders.

Genome-wide DNA methylation profile analysis identifies differentially methylated loci associated with ankylosis spondylitis

Background

Ankylosing spondylitis (AS) is a chronic rheumatic and autoimmune disease. Little is known about the potential role of DNA methylation in the pathogenesis of AS. This study was undertaken to explore the potential role of DNA methylation in the genetic mechanism of AS.

Methods

In this study, we compared the genome-wide DNA methylation profiles of peripheral blood mononuclear cells (PBMCs) between five AS patients and five healthy subjects, using the Illumina Infinium HumanMethylation450 BeadChip. Quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR) was performed to validate the relevance of the identified differentially methylated genes for AS, using another independent sample of five AS patients and five healthy subjects.

Results

Compared with healthy controls, we detected 1915 differentially methylated CpG sites mapped to 1214 genes. The HLA-DQB1 gene achieved the most significant signal (cg14323910, adjusted P = 1.84 × 10^–6, β difference = 0.5634) for AS. Additionally, the CpG site cg04777551 of HLA-DQB1 presented a suggestive association with AS (adjusted P = 1.46 × 10^–3, β difference = 0.3594). qRT-PCR observed that the mRNA expression level of HLA-DQB1 in AS PBMCs was significantly lower than that in healthy control PBMCs (ratio = 0.48 ± 0.10, P < 0.001). Gene Ontology (GO) and KEGG pathway enrichment analysis of differentially methylated genes identified four GO terms and 10 pathways for AS, functionally related to antigen dynamics and function.

Conclusions

Our results demonstrated the altered DNA methylation profile of AS and implicated HLA-DQB1 in the development of AS.

Electronic supplementary material

The online version of this article (doi:10.1186/s13075-017-1382-1) contains supplementary material, which is available to authorized users.

Clinical worthlessness of genetic prediction of common forms of diabetes mellitus and related chronic complications: A position statement of the Italian Society of Diabetology

AIM

We are currently facing several attempts aimed at marketing genetic data for predicting multifactorial diseases, among which diabetes mellitus is one of the more prevalent. The present document primarily aims at providing to practicing physicians a summary of available data regarding the role of genetic information in predicting diabetes and its chronic complications.

DATA SYNTHESIS

Firstly, general information about characteristics and performance of risk prediction tools will be presented in order to help clinicians to get acquainted with basic methodological information related to the subject at issue. Then, as far as type 1 diabetes is concerned, available data indicate that genetic information and counseling may be useful only in families with many affected individuals. However, since no disease prevention is possible, the utility of predicting this form of diabetes is at question. In the case of type 2 diabetes, available data really question the utility of adding genetic information on top of well performing, easy available and inexpensive non-genetic markers. Finally, the possibility of using the few available genetic data on diabetic complications for improving our ability to predict them will also be presented and discussed. For cardiovascular complication, the addition of genetic information to models based on clinical features does not translate in a substantial improvement in risk discrimination. For all other diabetic complications genetic information are currently very poor and cannot, therefore, be used for improving risk stratification.

CONCLUSIONS

In all, nowadays the use of genetic testing for predicting diabetes and its chronic complications is definitively of little value in clinical practice.

STK39, But Not BST1, HLA-DQB1, and SPPL2B Polymorphism, Is Associated With Han-Chinese Parkinson's Disease in Taiwan

Neuroinflammation is emerging as an important pathway involved in Parkinson's disease (PD) pathogenesis. Herein, we investigated the effect of 4 top PD-associated genetic variants in Caucasians listed on the top risk loci identified by meta-analysis of genome wide-association studies in PDGene database (http://www.pdgene.org/top_results), including serine threonine kinase 39 (STK39) rs1955337, bone marrow stromal cell antigen 1 (BST1) rs11724635, major histocompatibility complex, class II, DQ beta 1 (HLA-DQB1) rs9275326, and signal peptide peptidase-like 2B (SPPL2B) rs62120679, by genotyping 596 Han-Chinese patients with PD and 597 age-matched control subjects. Compared with subjects with STK39 rs1955337 GG genotype, those with TT genotype had a 1.64-fold increased risk of PD (95% confidence interval: 1.13-2.39, P = 0.010). The recessive model also demonstrated an increased PD risk in TT genotype (odds ratio: 1.59, 95% confidence interval: 1.12-2.27) compared with the other genotypes (GT + GG). PD patients demonstrate a similar genotypic and allelic frequency in BST1 rs11724635, HLA-DQB1 rs9275326, and SPPL2B rs62120679 compared with controls. These findings suggested that the STK39 rs1955337 TT genotype is a risk factor for Han-Chinese patients with PD in Taiwan. The ethnic discrepancies of the other 3 genetic variants may indicate a distinct genetic background of neuroinflammation between PD patients in Han-Chinese and Caucasians.

Is It Time to Screen the General Population for Type 1 Diabetes?

Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by destruction of insulin-producing β cells in the pancreas. The incidence of T1D is increasing dramatically, and the prevalence has doubled in the last 2 decades, further increasing the morbidity and mortality associated with the disease. T1D is now predictable with the measurement of antibodies directed against β cell proteins. Islet autoantibodies (IAs) are detectable from the peripheral blood months to years before clinical diagnosis. With the presence of two or more antibodies, the risk for developing T1D is nearly 100 % given enough time. Targeted screening for T1D risk has been carried out in first-degree relatives and those with a significant genetic risk. However, more than 85 % of individuals who are diagnosed with T1D do not have a family history. In light of the predictability of T1D and recent advances in IA measurement, general population screening is on the horizon. We provide an overview of the history of general population screening and discuss the rationale for and arguments against screening the general population for T1D risk.

Screening for insulinoma antigen 2 and zinc transporter 8 autoantibodies: a cost-effective and age-independent strategy to identify rapid progressors to clinical onset among relatives of type 1 diabetic patients

In first-degree relatives of type 1 diabetic patients, we investigated whether diabetes risk assessment solely based on insulinoma antigen 2 (IA-2) and zinc transporter 8 (ZnT8) antibody status (IA-2A, respectively, ZnT8A) is as effective as screening for three or four autoantibodies [antibodies against insulin (IAA), glutamate decarboxylase 65 kDa (GAD) glutamate decarboxylase autoantibodies (GADA) and IA-2A with or without ZnT8A] in identifying children, adolescents and adults who progress rapidly to diabetes (within 5 years). Antibodies were determined by radiobinding assays during follow-up of 6444 siblings and offspring aged 0-39 years at inclusion and recruited consecutively by the Belgian Diabetes Registry. We identified 394 persistently IAA(+) , GADA(+) , IA-2A(+) and/or ZnT8A(+) relatives (6·1%). After a median follow-up time of 52 months, 132 relatives developed type 1 diabetes. In each age category tested (0-9, 10-19 and 20-39 years) progression to diabetes was significantly quicker in the presence of IA-2A and/or ZnT8A than in their joint absence (P < 0·001). Progression rate was age-independent in IA-2A(+) and/or ZnT8A(+) relatives but decreased with age if only GADA and/or IAA were present (P = 0·008). In the age group mainly considered for immune interventions until now (10-39 years), screening for IA-2A and ZnT8A alone identified 78% of the rapid progressors (versus 75% if positive for ≥ 2 antibodies among IAA, GADA, IA-2A and ZnT8A or versus 62% without testing for ZnT8A). Screening for IA-2A and ZnT8A alone allows identification of the majority of rapidly progressing prediabetic siblings and offspring regardless of age and is more cost-effective to select participants for intervention trials than conventional screening.

Analysis Of Family Cases With Type I Diabetes Mellitus In A Group Of Pediatric Patients From Constanţa County

The aim of this study was to present the cases with family history of type 1 diabetes in a group of pediatric patients from the Clinic of Pediatrics, Constanta County Hospital, and to analyze the risk for relatives conferred by presence of particular DR genotypes. 8 out of 60 index cases had relatives affected with type 1 diabetes (13.33%). Of these, four had firstdegree relatives affected (6.67%) and were presented here. Although high-risk genotypes were more frequent in the group of familial cases, no association was found between DR genotype and family history of type 1 diabetes when statistical significance was tested (p value 0.119).

Extended family history of type 1 diabetes and phenotype and genotype of newly diagnosed children

OBJECTIVE

To determine the frequency of newly diagnosed diabetic children with first- and second-degree relatives affected by type 1 diabetes and to characterize the effects of this positive family history on clinical markers, signs of β-cell autoimmunity, and HLA genotype in the index case.

RESEARCH DESIGN AND METHODS

Children (n = 1,488) with type 1 diabetes diagnosed under 15 years of age were included in a cross-sectional study from the Finnish Pediatric Diabetes Register. Data on family history of diabetes and metabolic decompensation at diagnosis were collected using a questionnaire. Antibodies to β-cell autoantigens (islet cell antibodies, insulin autoantibodies, GAD antibodies, and antibodies to the islet antigen 2 molecule) and HLA genotypes were analyzed.

RESULTS

A total of 12.2% of the subjects had a first-degree relative with type 1 diabetes (father 6.2%, mother 3.2%, and sibling 4.8%) and 11.9% had an affected second-degree relative. Children without affected relatives had lower pH (P < 0.001), higher plasma glucose (P < 0.001) and β-hydroxybutyrate concentrations (P < 0.001), a higher rate of impaired consciousness (P = 0.02), and greater weight loss (P < 0.001). There were no differences in signs of β-cell autoimmunity. The familial cases carried the HLA DR4-DQ8 haplotype more frequently than sporadic cases (74.0 vs. 67.0%, P = 0.02).

CONCLUSIONS

When the extended family history of type 1 diabetes is considered, the proportion of sporadic diabetes cases may be reduced to <80%. A positive family history for type 1 diabetes associates with a less severe metabolic decompensation at diagnosis, even when only second-degree relatives are affected. Autoantibody profiles are similar in familial and sporadic type 1 diabetes, suggesting similar pathogenetic mechanisms.

Diabetic ketoacidosis at diagnosis: role of family history and class II HLA genotypes

OBJECTIVE

To explore the relationship between family history of diabetes and frequency of diabetic ketoacidosis (DKA) at diagnosis and to analyze the possible association between HLA genotypes and DKA.

DESIGN AND METHODS

We recruited 510 children and adolescents aged <17 years with type 1 diabetes (T1D) and collected information on first-degree relative (FDR) history of T1D. DKA and severe DKA were defined as blood pH <7.30 and <7.10 at diabetes onset respectively. Risk categories for developing T1D were determined according to various HLA DQA1-DQB1 haplotype combination genotypes.

RESULTS

The frequency of DKA and severe DKA at diagnosis was 34.7 and 7.2% respectively. DKA was more frequent in younger patients (<2 years (60.0%; P<0.001)) and occurred less in children with at least one FDR affected by T1D (13.0 vs 37.4%, P<0.001). The logistic regression showed that age at diagnosis (<2 years) and increased HLA-associated risk genotypes were independent predictors of DKA (P<0.01, odds ratio (OR)=1.068 (95% confidence interval (CI) 1.021-1.117); P<0.05, OR=1.606 (95% CI 1.034-2.475)). Introducing the presence of T1D in at least one FDR in the logistic model, a significant association between DKA and age at diagnosis (<2 years; P<0.01, OR=1.072 (95% CI 1.024-1.123)) and absence of FDRs with T1D (P=0.001, OR=4.287 (95% CI 1.770-10.383)) was found, but no more with increased HLA-associated risk genotype (P=0.06, OR=1.550 (95% CI 0.992-2.423)).

CONCLUSIONS

HLA-associated high-risk genotypes are associated with a high chance of presenting DKA at diabetes onset. However, having at least one FDR with T1D reduced the risk of DKA regardless of HLA genotype.

Variation between countries in the frequency of diabetic ketoacidosis at first presentation of type 1 diabetes in children: a systematic review

AIMS/HYPOTHESIS

Type 1 diabetes is the most frequent endocrine disease in children, with 65,000 children diagnosed worldwide every year. Up to 80% of these children present with diabetic ketoacidosis (DKA), which is associated with both short-term risks and long-term consequences. This study aimed to characterise the worldwide variation in presentation of type 1 diabetes to inform future interventions to reduce this excess morbidity and mortality.

METHODS

This was a systematic review of studies indexed on PubMed, EMBASE, Web of Science, Scopus or CINAHL before March 2011 that included unselected groups of children presenting with new-onset type 1 diabetes, reported the proportion presenting with DKA and used a definition of DKA based on measurement of pH or bicarbonate.

RESULTS

Sixty-five studies of cohorts comprising over 29,000 children in 31 countries were included. The frequency of DKA at diagnosis ranged from 12.8% to 80%, with highest frequencies in the United Arab Emirates, Saudi Arabia and Romania, and the lowest in Sweden, the Slovak Republic and Canada. Multivariable modelling showed the frequency of DKA was inversely associated with gross domestic product, latitude and background incidence of type 1 diabetes.

CONCLUSIONS/INTERPRETATION

This is the first description of the variation in frequency of DKA at presentation of type 1 diabetes in children across countries. It demonstrates large variations that may, at least in part, be explained by different levels of disease awareness and healthcare provision and suggests ways to decrease the excess morbidity and mortality associated with DKA at diagnosis.

An important minority of prediabetic first-degree relatives of type 1 diabetic patients derives from seroconversion to persistent autoantibody positivity after 10 years of age

AIMS/HYPOTHESIS

The appearance of autoantibodies (Abs) before diabetes onset has mainly been studied in young children. However, most patients develop type 1 diabetes after the age of 15 years. In first-degree relatives aged under 40 years, we investigated the frequency of seroconversion to (persistent) Ab positivity, progression to diabetes and baseline characteristics of seroconverters according to age.

METHODS

Abs against insulin (IAA), glutamate decarboxylase (GADA), insulinoma-associated protein 2 (IA-2A) and zinc transporter 8 (ZnT8A) were measured during follow-up of 7,170 first-degree relatives.

RESULTS

We identified 379 (5.3%) relatives with positivity for IAA, GADA, IA-2A and/or ZnT8A (Ab(+)) at first sampling and 224 (3.1%) at a later time point. Most seroconversions occurred after the age of 10 years (63%). During follow-up, Abs persisted more often in relatives initially Ab(+) (76%) than in seroconverters (53%; p < 0.001). In both groups diabetes developed at a similar pace and almost exclusively with Ab persistence (136 of 139 prediabetic individuals). For both groups, progression was more rapid if Abs appeared before the age of 10 years. Baseline characteristics at seroconversion did not vary significantly according to age.

CONCLUSIONS/INTERPRETATION

Seroconversion to (persistent) Ab(+) occurs regardless of age. Although the progression rate to diabetes is higher under age 10 years, later seroconverters (up to age 40 years) have similar characteristics when compared with age-matched initially Ab(+) relatives and generate an important minority of prediabetic relatives, warranting their identification and, eventually, enrolment in prevention trials.

Family history of diabetes and distribution of class II HLA genotypes in children with newly diagnosed type 1 diabetes: effect on diabetic ketoacidosis

OBJECTIVE

Our purpose was to assess whether family history of diabetes or the HLA-DR-DQ genotype of the index case was associated with the frequency of diabetic ketoacidosis (DKA) at diagnosis of childhood type 1 diabetes.

PATIENTS AND METHODS

The study cohort comprised 1518 children aged <15 years and diagnosed with type 1 diabetes in Finland in 2002-2005. Family history of type 1 and type 2 diabetes among first-degree relatives (FDRs) and grandparents was assessed at diagnosis. HLA-DR-DQ genotypes were analysed using time-resolved fluorometry.

RESULTS

In total, 12.6 and 1.7% of children had at least one FDR affected with type 1 or type 2 diabetes, respectively, and 6.6 and 34.8% had at least one grandparent with type 1 or type 2 diabetes. DKA (pH <7.30) occurred less frequently in children having a type 1 diabetes affected FDR (7.4 vs 20.5%, P<0.001). Type 2 diabetes among the parents or grandparents had no such effect. Lower risk HLA genotypes were observed to predispose to DKA (P<0.024). In a logistic regression analysis, the risk of DKA was independently associated with the absence of a family member affected by type 1 diabetes, the presence of a low-risk HLA genotype and older age at diagnosis (odds ratio 3.23, 1.45 and 1.07 respectively).

CONCLUSION

The presence of type 1 diabetes in an FDR is associated with an decreased risk of DKA at diagnosis. The rate of DKA seems to be higher in children with lower HLA-conferred risk for type 1 diabetes.

Factors associated with the presence of diabetic ketoacidosis at diagnosis of diabetes in children and young adults: a systematic review

OBJECTIVE

To identify the factors associated with diabetic ketoacidosis at diagnosis of type 1 diabetes in children and young adults.

DESIGN

Systematic review.

DATA SOURCES

PubMed, EMBASE, Web of Science, Scopus, and Cinahl and article reference lists.

STUDY SELECTION

Cohort studies including unselected groups of children and young adults presenting with new onset type 1 diabetes that distinguished between those who presented in diabetic ketoacidosis and those who did not and included a measurement of either pH or bicarbonate in the definition of diabetic ketoacidosis. There were no restrictions on language of publication.

RESULTS

46 studies involving more than 24,000 children in 31 countries were included. Together they compared 23 different factors. Factors associated with increased risk were younger age (for <2 years old v older, odds ratio 3.41 (95% confidence interval 2.54 to 4.59), for <5 years v older, odds ratio 1.59 (1.38 to 1.84)), diagnostic error (odds ratio 3.35 (2.35 to 4.79)), ethnic minority, lack of health insurance in the US (odds ratio 3.20 (2.03 to 5.04)), lower body mass index, preceding infection (odds ratio 3.14 (0.94 to 10.47)), and delayed treatment (odds ratio 1.74 (1.10 to 2.77)). Protective factors were having a first degree relative with type 1 diabetes at the time of diagnosis (odds ratio 0.33 (0.08 to 1.26)), higher parental education (odds ratios 0.4 (0.20 to 0.79) and 0.64 (0.43 to 0.94) in two studies), and higher background incidence of type 1 diabetes (correlation coefficient -0.715). The mean duration of symptoms was similar between children presenting with or without diabetic ketoacidosis (16.5 days (standard error 6.2) and 17.1 days (6.0) respectively), and up to 38.8% (285/735) of children who presented with diabetic ketoacidosis had been seen at least once by a doctor before diagnosis.

CONCLUSIONS

Multiple factors affect the risk of developing diabetic ketoacidosis at the onset of type 1 diabetes in children and young adults, and there is potential time, scope, and opportunity to intervene between symptom onset and development of diabetic ketoacidosis for both parents and clinicians.

Extended family history of diabetes and autoimmune diseases in children with and without type 1 diabetes

OBJECTIVE

To determine the extended family history of diabetes or autoimmune diseases in families with and without children having type 1 diabetes.

RESEARCH DESIGN AND METHODS

Three hundred case families and 381 control families were interviewed using structured questionnaires.

RESULTS

The proportion of case children having at least one relative with type 1 diabetes outside the nuclear family was higher than that of control children (50.3 vs. 31.8%, P < 0.001). The proportions of case and control children having relatives with type 2 diabetes or gestational diabetes were similar. Other autoimmune diseases occurred more frequently among the case children (9.7 vs. 1.1%, P < 0.001), in the case nuclear families (22.0 vs. 12.9%, P = 0.002) and in relatives outside the case nuclear family (72.0 vs. 62.2%, P = 0.007).

CONCLUSIONS

Type 1 diabetes and autoimmune diseases not only cluster in the nuclear families of children with type 1 diabetes but are also overrepresented in their extended families.

Familial type 1 diabetes mellitus - gender distribution and age at onset of diabetes distinguish between parent-offspring and sib-pair subgroups

BACKGROUND

Familial type 1 diabetes mellitus (T1D) comprises parent-offspring and sib-pair subgroups.

OBJECTIVE

To compare the demographic and clinical characteristics in the two subgroups at diagnosis and evaluate the differences between index cases and second affected family members.

METHODS

Retrieved from our institutional registry of new T1D cases for the years 1979-2008 were a cohort of 194 familial cases (87 parent-offspring, 107 sib-pairs); 133 sporadic cases matched by age, gender, and year of diagnosis were selected as controls. Extracted from their medical files were demographic data, family background, clinical and laboratory findings.

RESULTS

The parent-offspring subgroup was characterized by male preponderance (p = 0.009). At diagnosis parents were significantly older than their offspring (p < 0.001) and probands were significantly younger than their affected siblings (p = 0.03). Clinical symptoms and metabolic decompensation were similar in the familial subgroups. Diabetic ketoacidosis (DKA) rate and hemoglobin A1c (HbA1c) levels were lower in second affected family members in both parent-offspring (p = 0.05 and p < 0.001) and sib-pair subgroups (p < 0.001, for both parameters). Consanguinity and T1D were more frequent in the extended family of familial than sporadic cases (p < 0.001 and p = 0.012, respectively) with no difference between the two subgroups.

CONCLUSIONS

The genetic background for T1D would appear to differ not only between familial and sporadic cases but also between parent-offspring and sib-pair subgroups. Whereas differences in age of onset are attributable to both genetic and environmental factors, the less severe clinical manifestations in second affected family members may result from increased awareness or a less aggressive disease process.

Prediction of type 1 diabetes in the general population

OBJECTIVE

To evaluate the utility of GAD antibodies (GADAs) and islet antigen-2 antibodies (IA-2As) in prediction of type 1 diabetes over 27 years in the general population and to assess the 6-year rates of seroconversion.

RESEARCH DESIGN AND METHODS

A total of 3,475 nondiabetic subjects aged 3-18 years were sampled in 1980, and 2,375 subjects (68.3%) were resampled in 1986. All subjects were observed for development of diabetes to the end of 2007. GADAs and IA-2As were analyzed in all samples obtained in 1980 and 1986.

RESULTS

A total of 34 individuals (1.0%; 9 developed diabetes) initially had GADAs and 22 (0.6%; 9 developed diabetes) IA-2As. Seven subjects (0.2%) tested positive for both autoantibodies. The positive seroconversion rate over 6 years was 0.4% for GADAs and 0.2% for IA-2As, while the inverse seroconversion rates were 33 and 57%, respectively. Eighteen subjects (0.5%) developed type 1 diabetes after a median pre-diabetic period of 8.6 years (range 0.9-20.3). Initial positivity for GADAs and/or IA-2As had a sensitivity of 61% (95% CI 36-83) for type 1 diabetes. Combined positivity for GADAs and IA-2As had both a specificity and a positive predictive value of 100% (95% CI 59-100).

CONCLUSIONS

One-time screening for GADAs and IA-2As in the general childhood population in Finland would identify approximately 60% of those individuals who will develop type 1 diabetes over the next 27 years, and those subjects who have both autoantibodies carry an extremely high risk for diabetes. Both positive and inverse seroconversions do occur over time reflecting a dynamic process of beta-cell autoimmunity.

Nasal insulin to prevent type 1 diabetes in children with HLA genotypes and autoantibodies conferring increased risk of disease: a double-blind, randomised controlled trial

BACKGROUND

In mouse models of diabetes, prophylactic administration of insulin reduced incidence of the disease. We investigated whether administration of nasal insulin decreased the incidence of type 1 diabetes, in children with HLA genotypes and autoantibodies increasing the risk of the disease.

METHODS

At three university hospitals in Turku, Oulu, and Tampere (Finland), we analysed cord blood samples of 116 720 consecutively born infants, and 3430 of their siblings, for the HLA-DQB1 susceptibility alleles for type 1 diabetes. 17 397 infants and 1613 siblings had increased genetic risk, of whom 11 225 and 1574, respectively, consented to screening of diabetes-associated autoantibodies at every 3-12 months. In a double-blind trial, we randomly assigned 224 infants and 40 siblings positive for two or more autoantibodies, in consecutive samples, to receive short-acting human insulin (1 unit/kg; n=115 and n=22) or placebo (n=109 and n=18) once a day intranasally. We used a restricted randomisation, stratified by site, with permuted blocks of size two. Primary endpoint was diagnosis of diabetes. Analysis was by intention to treat. The study was terminated early because insulin had no beneficial effect. This study is registered with ClinicalTrials.gov, number NCT00223613.

FINDINGS

Median duration of the intervention was 1.8 years (range 0-9.7). Diabetes was diagnosed in 49 index children randomised to receive insulin, and in 47 randomised to placebo (hazard ratio [HR] 1.14; 95% CI 0.73-1.77). 42 and 38 of these children, respectively, continued treatment until diagnosis, with yearly rates of diabetes onset of 16.8% (95% CI 11.7-21.9) and 15.3% (10.5-20.2). Seven siblings were diagnosed with diabetes in the insulin group, versus six in the placebo group (HR 1.93; 0.56-6.77). In all randomised children, diabetes was diagnosed in 56 in the insulin group, and 53 in the placebo group (HR 0.98; 0.67-1.43, p=0.91).

INTERPRETATION

In children with HLA-conferred susceptibility to diabetes, administration of nasal insulin, started soon after detection of autoantibodies, could not be shown to prevent or delay type 1 diabetes.

Biomarkers for type 1 diabetes

Type 1 diabetes (T1D) is an autoimmune disorder characterized by the immune destruction of the insulin producing beta cells of the pancreatic islets. Autoimmunity towards pancreatic antigens results from complex interactions between multiple genes, environmental factors and the immune system. The autoimmune process may occur many years before the onset of clinical diabetes and this long asymptomatic period provides excellent opportunities for the prediction and prevention of the disease. Research in past four decades has identified a number of risk factors including susceptibility genes, gene and protein expression changes, cellular changes as well as environmental triggers, which may serve as excellent biomarkers for risk assessment. Furthermore, demographic and clinical parameters such as age and family history of diabetes and other autoimmune diseases are also important for risk assessment. Despite the identification of multiple useful biomarkers, the existing tests for T1D prediction are still imperfect and earlier biomarkers are also urgently needed. Because of the insufficient predictive power of individual risk factors, future biomarkers with better predictive power will most likely take advantage of the combinatorial power of multiple biomarkers of different nature and the integration of various biomarkers and demographic/clinical information will be the key to success.

Prediction of type 1 diabetes among siblings of affected children and in the general population

AIMS/HYPOTHESIS

To compare the predictive characteristics of autoantibodies to GAD (GADA) and islet antigen 2 (IA-2A) for type 1 diabetes between siblings of affected children and children from the general population.

METHODS

Seven-hundred and fifty-five siblings and 3,475 population-derived children were screened for GADA and IA-2A and observed for type 1 diabetes for 15 years. Sensitivity and cumulative disease risks from GADA, IA-2A and double positivity were compared between the cohorts.

RESULTS

Fifty-six siblings (7.4%) tested positive for GADA, 39 (5.2%) for IA-2A and 29 (3.8%) for both autoantibodies. Thirty-four population derived participants (1.0%) had GADA, 22 (0.6%) had IA-2A and 7 (0.2%) had double positivity. Fifty-one siblings (6.8%) and 15 participants in the population cohort (0.4%) progressed to type 1 diabetes. The predictive sensitivity of GADA was 68% (95% CI 53-81%) among siblings and 50% (95% CI 23-77%) in the general population, while the corresponding values were 58 (95% CI 43-72%) and 43% (95% CI 18-71%) for IA-2A. Double-autoantibody positivity had a sensitivity of 48% (95% CI 34-63%) among siblings and 36% (95% CI 13-65%) in the population cohort. Cumulative disease risks from GADA, IA-2A and double positivity were, respectively, 61% (95% CI 48-74%), 74% (95% CI 61-88%) and 83% (95% CI 69-97%) among siblings compared with those of 24% (95% CI 9-38%), 32% (95% CI 12-51%) and 86% (95% CI 60-100%) in the general population.

CONCLUSIONS/INTERPRETATION

There were no significant differences in the disease-predictive sensitivity of GADA and IA-2A positivity or their combination between siblings and the population cohort, whereas, for each antibody, positivity was associated with a higher cumulative disease risk among siblings. Double-antibody positivity conferred similar cumulative disease risk both among siblings and in the general population.

The Environmental Determinants of Diabetes in the Young (TEDDY) study: study design

The primary objective of this multicenter, multinational, epidemiological study is the identification of infectious agents, dietary factors, or other environmental exposures that are associated with increased risk of autoimmunity and type 1 diabetes mellitus (T1DM). Factors affecting specific phenotypic manifestations such as early age of onset or rate of progression or with protection from the development of T1DM will also be identified. The Environmental Determinants of Diabetes in the Young (TEDDY) is an observational cohort study in which newborns who are younger than 4 months and have high-risk human leukocyte antigen alleles in the general population or are first-degree relatives (FDRs) of patients affected with T1DM will be enrolled. Six clinical centers in the USA and Europe will screen 361,588 newborns, of which it is anticipated that 17,804 will be eligible for enrollment with just over 7,800 followed. Recruitment will occur over 5 yr, with children being followed to the age of 15 yr. Identification of such factors will lead to a better understanding of disease pathogenesis and result in new strategies to prevent, delay, or reverse T1DM.

TEDDY--The Environmental Determinants of Diabetes in the Young: an observational clinical trial

The aim of the TEDDY study is to identify infectious agents, dietary factors, or other environmental agents, including psychosocial factors, which may either trigger islet autoimmunity, type 1 diabetes mellitus (T1DM), or both. The study has two end points: (a) appearance of islet autoantibodies and (b) clinical diagnosis of T1DM. Six clinical centers screen newborns for high-risk HLA genotypes. As of December 2005 a total of 54,470 newborns have been screened. High-risk HLA genotypes among 53,560 general population (GP) infants were 2576 (4.8%) and among 910 newborns with a first-degree relative (FDR) were 194 (21%). A total of 1061 children have been enrolled. The initial enrollment results demonstrate the feasibility of this complex and demanding a prospective study.

The application of genomic and proteomic technologies in predictive, preventive and personalized medicine

The long asymptomatic period before the onset of chronic diseases offers good opportunities for disease prevention. Indeed, many chronic diseases may be preventable by avoiding those factors that trigger the disease process (primary prevention) or by use of therapy that modulates the disease process before the onset of clinical symptoms (secondary prevention). Accurate prediction is vital for disease prevention so that therapy can be given to those individuals who are most likely to develop the disease. The utility of predictive markers is dependent on three parameters, which must be carefully assessed: sensitivity, specificity and positive predictive value. Specificity is important if a biomarker is to be used to identify individuals either for counseling or for preventive therapy. However, a reciprocal relationship exists between sensitivity and specificity. Thus, successful biomarkers will be highly specific without sacrificing sensitivity. Unfortunately, biomarkers with ideal specificity and sensitivity are difficult to find for many diseases. One potential solution is to use the combinatorial power of a large number of biomarkers, each of which alone may not offer satisfactory specificity and sensitivity. Recent technological advances in genetics, genomics, proteomics, and bioinformatics offer a great opportunity for biomarker discovery. The newly identified biomarkers have the potential to bring increased accuracy in disease diagnosis and classification, as well as therapeutic monitoring. In this review, we will use type 1 diabetes (T1D) as an example, when appropriate, to discuss pertinent issues related to high throughput biomarker discovery.

The musculoskeletal effects of diabetes mellitus

Diabetes mellitus (DM) is a multi-system disease characterized by persistent hyperglycemia that has both acute and chronic biochemical and anatomical sequelae, with Type-2 DM representing the most common form of the disease. Neuromusculoskeletal sequelae of DM are common and the practicing chiropractor should be alert to these conditions, as some are manageable in a chiropractic office, while others are life and/or limb threatening. This paper reviews the effects of DM on the musculoskeletal system so as assist the chiropractor in making appropriate clinical decisions regarding therapy, understanding contraindications to therapy, referring patients to medical physicians when appropriate and understanding the impact that DM may have on the prognosis for their patients suffering from the myriad musculoskeletal conditions associated with this disease.

Familial clustering of beta-cell autoimmunity in initially non-diabetic children

BACKGROUND

Type 1 diabetes is characterised by familial aggregation. We set out to explore whether beta-cell autoimmunity, which is considered to precede clinical disease, also shows familial clustering.

METHODS

Tests for HLA DQB1 alleles (*02, *0301, *0302, *0602) and islet cell autoantibodies (ICA) were performed on 5836 children from 2283 families. When a child tested positive for ICA, all his/her previous or subsequent samples that were available were also tested for insulin autoantibodies (IAA), antibodies to glutamic acid decarboxylase (GADA) and antibodies to the IA-2 protein (IA-2A).

RESULTS

Forty-four families were observed to have two or more children positive for at least ICA. This proportion (1.9%) was almost five times higher than expected (0.4%; p < 0.001). The frequency of multiple (>/=2) autoantibodies also showed familial aggregation, the observed proportion (0.39%) being three times that expected (0.13%; p < 0.001). In 72.7% of the families with at least two ICA-positive siblings, the children with autoantibodies had the same HLA DQB1 genotype. The median age difference between the ICA-positive children within the same family was 3.3 years (range 0.0-10.5 years), and the median time interval in the appearance of ICA within the family was 1.6 years (range 0.0-3.2).

CONCLUSIONS

beta-cell autoimmunity, as defined by the appearance of ICA, demonstrates familial aggregation, although the antibodies do not appear in close temporal proximity or at an identical age within the same family. The HLA-DQB1 genotypes are more often identical in siblings with autoantibodies than in other siblings.

Prediabetes in children: natural history, diagnosis, and preventive strategies

The clinical manifestation of type 1 diabetes mellitus is preceded by an asymptomatic prodromal period called prediabetes or preclinical diabetes. It may last from a few months to several years, during which the autoimmune destruction of the insulin-producing beta-cells in the pancreas progresses. The genes on the human leukocyte antigen (HLA) and insulin gene region are major genetic determinants for genetic disease susceptibility, while dietary compounds and viral infections are the most likely environmental factors contributing to the etiopathogenesis. T cells are thought to be the effector cells for the beta-cell destruction, and glutamic acid decarboxylase, insulinoma-associated protein 2 and insulin represent the three major autoantigens. Autoantibodies are early detectable markers of an ongoing disease process and are used to diagnose prediabetes. Among first-degree relatives of patients with type 1 diabetes, the risk for clinical disease can be graded from <5% in those with one or no antibodies to >90% in individuals who carry the HLA-DQB1*02/0302 risk genotype and are positive for multiple autoantibodies. beta-Cell function may also be tested in autoantibody-positive individuals and low first-phase insulin response is highly predictive for rapid progression to the clinical disease. However, dynamic course and individual variation of the disease process complicates the disease prediction, and it is not known whether all individuals with signs of prediabetes will inevitably progress to clinical type 1 diabetes. Until clinically applicable prevention for the condition exists, the screening for the risk markers of type 1 diabetes should actively be undertaken only in the context of research projects. Several major national and international multicenter studies are ongoing to test the potential of various agents (e.g. insulin and nicotinamide) or early elimination of dietary compounds (e.g. cow's milk proteins) to delay or prevent the onset of clinical type 1 diabetes.

The ethics of type 1 diabetes prediction and prevention research

There are approximately one million cases of type 1 diabetes in the US, and the incidence is increasing worldwide. Given that two-thirds of cases present in childhood, it is critical that prediction and prevention research involve children. In this article, I examine whether current research methodologies conform to the ethical guidelines enumerated by the National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research, and adopted into the federal regulations that protect research subjects. I then offer two policy recommendations to help researchers design studies that conform to these ethical requirements.

Preventing type 1 diabetes mellitus: the promise of gene therapy

Type 1 (insulin-dependent) diabetes mellitus is an autoimmune disease that has no cure. Closed-loop insulin administration strategies and approaches for replacement of the insulin-producing beta cells may offer improved treatments, which could delay or prevent diabetes complications. In the long run, however, prevention of type 1 diabetes in susceptible individuals represents the best chance for reducing the toll of the disease. Prevention of type 1 diabetes will require reliable methods for early diagnosis of predisposition to the disease, using improved genetic and serological screening on a wide scale. Identification of the primary antigenic target(s) for autoimmunity will allow intervention in prediabetes stages aimed at the induction of antigen-specific tolerance. In addition to manipulation of the immune system, the susceptibility of beta cells to autoimmunity could be reduced. A number of genes have been shown to increase beta-cell resistance to immune effector molecules in animal models and cultured beta-cell lines. These genes could be used for preventive gene therapy of type 1 diabetes mellitus if expressed in beta cells prior to the onset of autoimmune destruction. This prospect depends on the development of safe and efficient vectors, and approaches for cell-specific targeting of these vectors to beta cells in vivo.

Neonatal diabetes mellitus: chromosomal analysis in transient and permanent cases

OBJECTIVES

To describe a large cohort of patients with transient neonatal diabetes mellitus (TNDM) and permanent neonatal diabetes mellitus (PNDM), and to investigate whether chromosome 6 analysis helps to distinguish TNDM from PNDM.

STUDY DESIGN

Patients with TNDM (n = 29) (insulin therapy for <3 years) and 21 with PNDM were identified through a nationwide study.

RESULTS

Although patients with PNDM were less likely to have had intrauterine growth restriction (36% vs 74% for TNDM, P <.006), were older at diagnosis (median: 27 vs 6 days, P <.01), and had higher initial insulin requirements (1.4 U/kg/day vs 0.6 U/kg/day, P <.006), no clinical features were reliable in distinguishing PNDM from TNDM on an individual case basis. Permanent insulin-dependent diabetes developed in 5 TNDM patients after 8 years of age, emphasizing the need for prolonged follow-up. Among the 19 TNDM patients tested, two had paternal isodisomy of chromosome 6, seven from 4 families had paternally-derived trisomy of the 6q region, and two had a methylation defect in the 6q24 region. No chromosome 6 anomalies were found in the 9 PNDM patients tested.

CONCLUSION

When present, a chromosome 6 abnormality is strongly in favor of the "transient" form of the disease.

Estimation of genetic risk for type 1 diabetes

The most important gene loci defining risk of type 1 diabetes mellitus (T1DM) are located within the HLA gene region. HLA-DQ molecules are of primary importance but HLA-DR gene products modify the risk conferred by HLA-DQ. The risk associated with an HLA genotype is defined by the particular combination of susceptible and protective alleles. The highest risk is associated with a combination of two different risk haplotypes (7% risk to develop T1DM in Finland) whereas protective genotypes covering 69% of population have a risk of less than 0.2%). The complicated analysis of HLA genotypes is simplified by strong linkage disequilibrium between HLA-DRB1, -DQA1 and -DQB1 loci. In many cases one can deduce the alleles of other loci based on determination of the alleles in one locus. Differences between various populations in the frequency of marker alleles and in the linkages between them has to be taken into account. We have developed PCR based typing methods that utilize blood spot samples, microtiter plate format and lanthanide labeled oligonucleotide probes to define HLA-DQ and -DR alleles relevant for T1DM risk. Typing is run stepwise so that after initial HLA-DQB1 typing only those samples will be further analyzed in which -DQA1 or -DRB1 typing is informative and expected to contribute to the risk estimation. This method has been used to screen more than 50,000 newborn infants in Finland over a time period of 6 years, and it has been able to identify most children who have developed T1D during the follow-up period. The efficiency of the procedure has also been tested in Finnish and Greek populations.

Genetic risk determines the emergence of diabetes-associated autoantibodies in young children

Timing of onset of autoimmunity is a prerequisite for unmasking triggers and pathogenesis of type 1 diabetes. We followed 4,590 consecutive newborns with 8 or 3% HLA-DQB1 conferred risk for type 1 diabetes at 3-, 6-, or 12-month intervals up to 5.5 years of age. Islet cell autoantibodies (ICAs) and, in the 137 children with ICAs, insulin autoantibodies (IAAs), GAD65 autoantibodies (GADAs), and IA-2 protein autoantibodies (IA-2As) were measured. Children with high genetic risk developed ICAs more often than those with moderate risk (log-rank P = 0.0015); 85 and 91% remained ICA negative by 5 years of age, respectively. The time of appearance of biochemical autoantibodies was then compared with the appearance of ICAs. IAAs and GADAs emerged usually before ICAs (means -1.8 and -1.5 months, respectively) and IA-2As after ICAs (mean 2.0 months). Ninety-five percent of all IAAs, GADAs, and IA-2As seroconversions occurred in a cluster (-12 to 8 months) around the ICA seroconversion. We conclude that diabetes-associated autoantibodies emerged in children with predisposing HLA-DQB1 alleles after 3 months of age at a constant tempo, determined by the genetic risk level, usually in the order of IAA, GADA, ICA, and IA-2A. Seroconversion to multiple autoantibody positivity usually occurred tightly clustered in time.

The first signs of beta-cell autoimmunity appear in infancy in genetically susceptible children from the general population: the Finnish Type 1 Diabetes Prediction and Prevention Study

Little is known about the timing of the etiological events and the preclinical process of type 1 diabetes during the first years of life in the general population. In this population-based prospective birth cohort study, the appearance of diabetes-associated autoantibodies as a sign of beta-cell autoimmunity and the development of type 1 diabetes were monitored from birth. Of 25,983 newborn infants, 2,448 genetically susceptible children were monitored for islet cell antibodies (ICA) at 3- to 6-month intervals. If an infant seroconverted to ICA positivity, all his/her samples were also analyzed for insulin autoantibodies (IAA), antibodies to the 65-kDa isoform of glutamic acid decarboxylase, and antibodies to the protein tyrosine phosphatase-related IA-2 molecule. Fifteen children of those who carried the high-risk genotype (2.7%) and 23 of those who carried the moderate-risk genotype (1.2%; P = 0.019) tested positive for ICA at least once. Among those who showed positivity for at least 2 antibodies during the observation period (25 of 38), IAA appeared as the first or among the first antibodies in 22 children (88%) and emerged earlier than the other antibodies (P < 0.019 or less). The first autoantibodies appeared in the majority of the children in the fall and winter (30 of 38 vs. 8 of 38 in the spring and summer, P < 0.001). These observations suggest that young children in the general population with a strong human-leukocyte-antigen-DQ-defined genetic risk of type 1 diabetes show signs of beta-cell autoimmunity proportionally more often than those with a moderate genetic risk. IAA emerge as the first detectable antibody more commonly than any other antibody specificity, implying that insulin may be the primary antigen in most cases of human type 1 diabetes associated with the DR4-DQB1*0302 haplotype. The seasonal variation in the emergence of the first signs of beta-cell autoimmunity suggests that infectious agents may play a role in the induction of such autoimmunity.

Prospects for predicting and stopping the development of type 1 of diabetes

The prevention of diabetes and its devastating complications is the prime goal of diabetes care. In immune-mediated type 1 diabetes, beta cell destruction can be predicted with increasing confidence both before and after diagnosis, thus allowing the development of preventative strategies. Multicentre clinical trials with the natural products insulin and nicotinamide have been launched, but the results will only be available in a few years time. Meanwhile, observational studies in large representative risk groups can help to refine the selection of subjects with a more homogenous risk for beta cell destruction, thereby reducing the need for large sample sizes. The comparison between biological markers and disease progression will help to define surrogate disease end-points that can be monitored before the hard clinical end-points of hyperglycaemia or remission. These advances will facilitate the start of new pilot trials to identify relatively safe candidate interventions adapted to disease stage.