Prospective assessment in newborns of diabetes autoimmunity (PANDA): maternal understanding of infant diabetes risk

Anxiety and Risk Perception in Parents of Children Identified by Population Screening as High Risk for Type 1 Diabetes

OBJECTIVE

To assess anxiety and risk perception among parents whose children screened positive for islet autoantibodies, indicating elevated risk for type 1 diabetes (T1D).

RESEARCH DESIGN AND METHODS

The Autoimmunity Screening for Kids (ASK) study identified 319 children age 1 to 17 years at risk for T1D via screening for islet autoantibodies; 280 children with confirmed islet autoantibodies and their caregivers enrolled in a follow-up education and monitoring program to prevent diabetic ketoacidosis at diagnosis. Parents completed questionnaires at each monitoring visit, including a 6-item version of the State Anxiety Inventory (SAI), to assess anxiety about their child developing T1D, and a single question to assess risk perception.

RESULTS

At the first ASK follow-up monitoring visit, mean parental anxiety was elevated above the clinical cutoff of 40 (SAI 46.1 ± 11.2). At the second follow-up monitoring visit (i.e., visit 2), mean anxiety remained elevated but started to trend down. Approximately half (48.9%) of parents reported their child was at increased risk for T1D at the initial follow-up monitoring visit (visit 1). Parents of children with more than one islet autoantibody and a first-degree relative with T1D were more likely to report their child was at increased risk.

CONCLUSIONS

Most parents of autoantibody-positive children have high anxiety about their child developing T1D. Information about the risk of developing T1D is difficult to convey, as evidenced by the wide range of risk perception reported in this sample.

Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes

Type 1 diabetes (T1D) is an autoimmune disease, characterized by the presence of autoantibodies to protein and non-protein antigens. Here we report the identification of specific anti-carbohydrate antibodies (ACAs) that are associated with pathogenesis and progression to T1D. We compare circulatory levels of ACAs against 202 glycans in a cross-sectional cohort of T1D patients (n = 278) and healthy controls (n = 298), as well as in a longitudinal cohort (n = 112). We identify 11 clusters of ACAs associated with glycan function class. Clusters enriched for aminoglycosides, blood group A and B antigens, glycolipids, ganglio-series, and O-linked glycans are associated with progression to T1D. ACAs against gentamicin and its related structures, G418 and sisomicin, are also associated with islet autoimmunity. ACAs improve discrimination of T1D status of individuals over a model with only clinical variables and are potential biomarkers for T1D.

Psychosocial Issues Related to Newborn Screening: A Systematic Review and Synthesis

Genomic advances have contributed to a proliferation of newborn screening (NBS) programs. Psychosocial consequences of NBS have been identified as risks to these public health initiatives. Following PRISMA guidelines, this systematic review synthesizes findings from 92 evidence-based, peer-reviewed research reports published from 2000 through 2020 regarding psychosocial issues associated with NBS. Results describe parents' knowledge of and attitudes towards NBS, reactions to and understanding of positive NBS results, experiences of communication with health providers, decisions about carrier testing, and future pregnancies. Findings also explain the impact of positive NBS results on parent-child relationships, child development, informing children about carrier status, family burden, quality of life, and disparities. In conclusion, psychosocial consequences of receiving unexpected neonatal screening results and unsolicited genetic information remain significant risks to expansion of NBS. Findings suggest that risks may be mitigated by improved parent NBS education, effective communication, individualized genetic counseling, and anticipatory developmental guidance. Clinicians need to take extra measures to ensure equitable service delivery to marginalized subpopulations. Future investigations should be more inclusive of culturally and socioeconomically diverse families and conducted in low-resource countries. Providing these countries with adequate resources to develop NBS programs is an essential step towards achieving international health equity.

From newborn screening to genomic medicine: challenges and suggestions on how to incorporate genomic newborn screening in public health programs

Newborn screening (NBS) programs are considered among the most effective and efficient measures of secondary prevention in medicine. In individuals with medical conditions, genomic sequencing has become available in routine healthcare, and results from exome or genome sequencing may help to guide treatment decisions. Genomic sequencing in healthy or asymptomatic newborns (gNBS) is feasible and reveals clinically relevant disorders that are not detectable by biochemical analyses alone. However, the implementation of genomic sequencing in population-based screening programs comes with technological, clinical, ethical, and psychological issues, as well as economic and legal topics. Here, we address and discuss the most important questions to be considered when implementing gNBS, such as "which categories of results should be reported" or "which is the best time to return results". We also offer ideas on how to balance expected benefits against possible harms to children and their families.

Etiology of Autoimmune Islet Disease: Timing Is Everything

Life is about timing. -Carl LewisThe understanding of autoimmune type 1 diabetes is increasing, and examining etiology separate from pathogenesis has become crucial. The components to explain type 1 diabetes development have been known for some time. The strong association with HLA has been researched for nearly 50 years. Genome-wide association studies added another 60+ non-HLA genetic factors with minor contribution to risk. Insulitis has long been known to be present close to clinical diagnosis. T and B cells recognizing β-cell autoantigens are detectable prior to diagnosis and in newly diagnosed patients. Islet autoantibody tests against four major autoantigens have been standardized and used as biomarkers of islet autoimmunity. However, to clarify the etiology would require attention to time. Etiology may be defined as the cause of a disease (i.e., type 1 diabetes) or abnormal condition (i.e., islet autoimmunity). Timing is everything, as neither the prodrome of islet autoimmunity nor the clinical onset of type 1 diabetes tells us much about the etiology. Rather, the islet autoantibody that appears first and persists would mark the diagnosis of an autoimmune islet disease (AID). Events after the diagnosis of AID would represent the pathogenesis. Several islet autoantibodies without (stage 1) or with impaired glucose tolerance (stage 2) or with symptoms (stage 3) would define the pathogenesis culminating in clinical type 1 diabetes. Etiology would be about the timing of events that take place before the first-appearing islet autoantibody.

Adherence to oral glucose tolerance testing in children in stage 1 of type 1 diabetes: The TEDDY study

OBJECTIVE

To examine adherence to the oral glucose tolerance test (OGTT) in multiple islet autoantibody children in stage 1 of developing type 1 diabetes (T1D).

METHODS

Children are followed from birth in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Completion of an OGTT is recommended every 6 months in children ≥3 years of age who are multiple islet autoantibody positive. Factors associated with adherence to the OGTT protocol were examined.

RESULTS

The average subject level adherence with the OGTT protocol was 62% although there were large differences across countries; Finnish participants and older children from Sweden were more adherent than participants from the United States and Germany. Factors associated with nonadherence included having a first-degree relative with T1D, using a local laboratory rather than a TEDDY center for the OGTT, and maternal underestimation of the child's risk for T1D. Children were more adherent to the OGTT if their mothers: were more satisfied with TEDDY participation, reported monitoring the child for T1D by checking blood glucose levels at home, and viewed participating in TEDDY as the primary way they were monitoring the child for T1D.

CONCLUSIONS

In a study of children in stage 1 of T1D, adherence to an OGTT protocol was suboptimal despite extensive efforts to communicate the child's high risk to parents. These findings provide important guidance for development of strategies to improve methods for detecting progression or the development of T1D in high-risk pediatric populations.

Psychosocial effects in parents and children 12 years after newborn genetic screening for type 1 diabetes

Little is known about the psychosocial consequences of testing newborns for genetic susceptibility to multifactorial diseases. This study reports quantitative psychosocial evaluations of parents and children 12 years after screening for type 1 diabetes (T1D). Two parent-child cohorts participated: children at increased genetic risk of T1D and children at low genetic risk. T1D risk status was determined at birth as part of a prospective study investigating potential environmental triggers of autoimmunity. Parent measures included ratings of children's emotional, behavioural and social functioning (Child Behaviour Checklist) and parenting style (Alabama Parenting Questionnaire). Child self-concept was assessed using the self-description questionnaire (SDQ1). Statistical analyses were conducted to test for differences between the groups. Twelve years after testing there was no evidence that knowledge of a child's increased genetic risk of T1D adversely affected parental ratings of their child's emotional, behavioural or social functioning, or impacted upon parenting style. There was no adverse effect upon the child's assessment of their self-concept. This study provides important preliminary data concerning longer-term psychosocial effects of incorporating tests for genetic risk of complex disorders into NBS panels. While it is reassuring that no significant adverse effects have been detected, more data will be required to adequately inform policy.

Type 1 diabetes mellitus

Type 1 diabetes mellitus (T1DM), also known as autoimmune diabetes, is a chronic disease characterized by insulin deficiency due to pancreatic β-cell loss and leads to hyperglycaemia. Although the age of symptomatic onset is usually during childhood or adolescence, symptoms can sometimes develop much later. Although the aetiology of T1DM is not completely understood, the pathogenesis of the disease is thought to involve T cell-mediated destruction of β-cells. Islet-targeting autoantibodies that target insulin, 65 kDa glutamic acid decarboxylase, insulinoma-associated protein 2 and zinc transporter 8 - all of which are proteins associated with secretory granules in β-cells - are biomarkers of T1DM-associated autoimmunity that are found months to years before symptom onset, and can be used to identify and study individuals who are at risk of developing T1DM. The type of autoantibody that appears first depends on the environmental trigger and on genetic factors. The pathogenesis of T1DM can be divided into three stages depending on the absence or presence of hyperglycaemia and hyperglycaemia-associated symptoms (such as polyuria and thirst). A cure is not available, and patients depend on lifelong insulin injections; novel approaches to insulin treatment, such as insulin pumps, continuous glucose monitoring and hybrid closed-loop systems, are in development. Although intensive glycaemic control has reduced the incidence of microvascular and macrovascular complications, the majority of patients with T1DM are still developing these complications. Major research efforts are needed to achieve early diagnosis, prevent β-cell loss and develop better treatment options to improve the quality of life and prognosis of those affected.

The progress and potential of proteomic biomarkers for type 1 diabetes in children

INTRODUCTION

Although it is possible to identify the genetic risk for type 1 diabetes (T1D), it is not possible to predict who will develop the disease. New biomarkers are needed that would help understand the mechanisms of disease onset and when to administer targeted therapies and interventions. Areas covered: An overview is presented of international study efforts towards understanding the cause of T1D, including the collection of several extensive temporal sample series that follow the development of T1D in at risk children. The results of the proteomics analysis of these materials are presented, which have included bodily fluids, such as serum or plasma and urine, as well as tissue samples from the pancreas. Expert commentary: Promising recent reports have indicated detection of early proteomic changes in the serum of patients prior to diagnosis, potentially providing new measures for risk assessment. Similarly, there has been evidence that post-translational modification (PTM) may result in the recognition of islet cell proteins as autoantigens; modified proteins could thus be used as targets for immunomodulation to overcome the threat of the autoimmune response.

Metabolomic Biomarkers in the Progression to Type 1 Diabetes

Metabolomics is the snapshot of all detectable metabolites and lipids in biological materials and has potential in reflecting genetic and environmental factors contributing to the development of complex diseases, such as type 1 diabetes. The progression to seroconversion to development of type 1 diabetes has been studied using this technique, although in relatively small cohorts and at limited time points. Overall, three observations have been consistently reported; phospholipids at birth are lower in children developing type 1 diabetes early in childhood, methionine levels are lower in children at seroconversion, and triglycerides are increased at seroconversion and associated to microbiome diversity, indicating an association between the metabolome and microbiome in type 1 diabetes progression.

The Genetic Architecture of Diabetes in Pregnancy: Implications for Clinical Practice

The genetic architecture of diabetes mellitus in general and in pregnancy is complex, owing to the multiple types of diabetes that comprise both complex/polygenic forms and monogenic (largely caused by a mutation in a single gene) forms such as maturity-onset diabetes of the young (MODY). Type 1 diabetes (T1D) and type 2 diabetes (T2D) have complex genetic etiologies, with over 40 and 90 genes/loci, respectively, implicated that interact with environmental/lifestyle factors. The genetic etiology of gestational diabetes mellitus has largely been found to overlap that of T2D. Genetic testing for complex forms of diabetes is not currently useful clinically, but genetic testing for monogenic forms, particularly MODY, has important utility for determining treatment, managing risk in family members, and pregnancy management. In particular, diagnosing MODY2, caused by GCK mutations, indicates that insulin should not be used, including during pregnancy, with the possible exception of an unaffected pregnancy during the third trimester to prevent macrosomia. A relatively simple method for identifying women with MODY2 has been piloted. MODY1, caused by HNF4A mutations, can paradoxically cause neonatal hyperinsulinemic hypoglycemia and macrosomia, indicating that detecting these cases is also clinically important. Diagnosing all MODY types provides opportunities for diagnosing other family members.

Genetic risk factors for type 1 diabetes

Type 1 diabetes is diagnosed at the end of a prodrome of β-cell autoimmunity. The disease is most likely triggered at an early age by autoantibodies primarily directed against insulin or glutamic acid decarboxylase, or both, but rarely against islet antigen-2. After the initial appearance of one of these autoantibody biomarkers, a second, third, or fourth autoantibody against either islet antigen-2 or the ZnT8 transporter might also appear. The larger the number of β-cell autoantibody types, the greater the risk of rapid progression to clinical onset of diabetes. This association does not necessarily mean that the β-cell autoantibodies are pathogenic, but rather that they represent reproducible biomarkers of the pathogenesis. The primary risk factor for β-cell autoimmunity is genetic, mainly occurring in individuals with either HLA-DR3-DQ2 or HLA-DR4-DQ8 haplotypes, or both, but a trigger from the environment is generally needed. The pathogenesis can be divided into three stages: 1, appearance of β-cell autoimmunity, normoglycaemia, and no symptoms; 2, β-cell autoimmunity, dysglycaemia, and no symptoms; and 3, β-cell autoimmunity, dysglycaemia, and symptoms of diabetes. The genetic association with each one of the three stages can differ. Type 1 diabetes could serve as a disease model for organ-specific autoimmune disorders such as coeliac disease, thyroiditis, and Addison's disease, which show similar early markers of a prolonged disease process before clinical diagnosis.

Parental Estimation of Their Child's Increased Type 1 Diabetes Risk During the First 2 Years of Participation in an International Observational Study: Results From the TEDDY study

This study assessed mothers' and fathers' perception of their child's risk of getting type 1 diabetes (T1D) during the first 2 years of their participation in The Environmental Determinants of Diabetes in the Young (TEDDY) study. TEDDY parents were informed of their child's increased genetic risk for T1D at study inception. Parent perception of the child's risk was assessed at 3, 6, 15, and 27 months of age. In families with no history of T1D, underestimation of the child's T1D risk was common in mothers (>38%) and more so in fathers (>50%). The analyses indicated that parental education, country of residence, family history of T1D, household crowding, ethnic minority status, and beliefs that the child's T1D risk can be reduced were factors associated with parental risk perception accuracy. Even when given extensive information about their child's T1D risk, parents often fail to accurately grasp the information provided. This is particularly true for fathers, families from low socioeconomic backgrounds, and those with no family history of T1D. It is important to develop improved tools for risk communication tailored to individual family needs.

IGF-Binding Proteins in Type-1 Diabetes Are More Severely Altered in the Presence of Complications

AIMS

Reduced levels of free and total insulin-like growth factor 1 (IGF-I) have been observed in type-1 diabetes (T1D) patients. The bioavailability of IGF-I from the circulation to the target cells is controlled by multifunctional IGF-binding proteins (IGFBPs). The aim of this study was to profile serum IGFBPs in T1D and its complications.

DESIGN

We measured the IGFBP levels in 3662 patient serum samples from our ongoing Phenome and Genome of Diabetes Autoimmunity (PAGODA) study. IGFBP levels of four different groups of T1D patients (with 0, 1, 2, and ≥3 complications) were compared with healthy controls.

RESULTS

Three serum IGFBPs (IGFBP-1, -2, and -6) are significantly higher in T1D patients, and these alterations are greater in the presence of diabetic complications. IGFBP-3 is lower in patients with diabetic complications. Analyses using quintiles revealed that risk of T1D complications increases with increasing concentrations of IGFBP-2 (fifth quintile ORs: 18-60, p < 10(-26)), IGFBP-1 (fifth quintile ORs: 8-20, p < 10(-15)), and IGFBP-6 (fifth quintile ORs: 3-148, p < 10(-3)). IGFBP-3 has a negative association with T1D complications (fifth quintile ORs: 0.12-0.25, p < 10(-5)).

CONCLUSION

We found that elevated serum levels of IGFBP-1, -2, and -6 were associated with T1D, and its complications and IGFBP-3 level was found to be decreased in T1D with complications. Given the known role of these IGFBPs, the overall impact of these alterations suggests a negative effect on IGF signaling.

Predicting Later Study Withdrawal in Participants Active in a Longitudinal Birth Cohort Study for 1 Year: The TEDDY Study

OBJECTIVE

To identify predictors of later study withdrawal among participants active in The Environmental Determinants of Diabetes in the Young (TEDDY) for 1 year. 

METHODS

Multiple logistic regression was used to discriminate 3,042 children active in TEDDY for the first 3 years from 432 children who withdrew in Years 2 or 3. Predictor variables were tested in blocks-demographic, maternal lifestyle behaviors, stress and child illness, maternal reactions to child's increased diabetes risk, in-study behaviors-and a final best model developed. 

RESULTS

Few demographic factors predicted study withdrawal. Maternal lifestyle behaviors, accuracy of the mother's risk perception, and in-study behaviors were more important. Frequent child illnesses were associated with greater study retention. 

CONCLUSIONS

Demographic measures are insufficient predictors of later study withdrawal among those active in a study for at least 1 year; behavioral/psychological factors offer improved prediction and guidance for the development of retention strategies.

Large-Scale Discovery and Validation Studies Demonstrate Significant Reductions in Circulating Levels of IL8, IL-1Ra, MCP-1, and MIP-1β in Patients With Type 1 Diabetes

CONTEXT

Previous studies have attempted to elucidate the potential role of various cytokines and chemokines in human type 1 diabetes (T1D); however, the precise role of these serum proteins in T1D is still controversial and undetermined primarily due to the small sample sizes of the previous studies. We profiled a panel of serum cytokines and chemokines using a large-scale, two-stage study design for the discovery and validation of the serum proteins associated with T1D.

PARTICIPANTS

The participants were patients with T1D and islet autoantibody-negative control subjects from the Phenome and Genome of Diabetes Autoimmunity study.

MAIN OUTCOME MEASURES

Thirteen cytokines and chemokines were measured in serum of 4424 subjects using multiplex immunoassays.

RESULTS

Using 1378 samples in Stage 1, we found that four of the 13 proteins are significantly lower in patients with T1D than controls (IL8: odds ratio [OR] = 0.40; P = 5.7 × 10(-19); IL-1Ra: OR = 0.42; P = 1.1 × 10(-13); MCP-1: OR = 0.60; P = 6.7 × 10(-9); and MIP-1β: OR = 0.63; P = 4.2 × 10(-7)). Our confirmation data with 3046 samples in Stage 2 further confirmed the significant negative associations of these four proteins with T1D (IL8: OR = 0.43; P = 8.9 × 10(-32); IL-1Ra: OR = 0.56, P = 3.7 × 10(-27); MCP-1: OR = 0.61, P = 4.3 × 10(-17); and MIP-1β: OR = 0.69, P = 2.4 × 10(-13)). Quartile analyses also suggested that significantly more T1D cases have protein levels in the bottom quartile than in the top quartile for all four proteins: IL8 (OR = 0.09), IL-1Ra (OR = 0.18), MCP-1 (OR = 0.38), and MIP-1β (OR = 0.44). Furthermore, the negative associations between T1D and serum levels of all four proteins are stronger in genetically high-risk groups compared with the moderate and low-risk groups.

CONCLUSIONS

IL8, IL-1Ra, MCP-1, and MIP-1β are significantly lower in patients with T1D than controls.

Type 1 diabetes in India: Overall insights

Type 1 diabetes mellitus (T1DM) is also on increase like type 2 diabetes, even though not in the same proportion, but still with a trend of 3-5% increase/year. India has three new cases of T1DM/100,000 children of 0-14 years. Three sets of prevalence data shows 17.93 cases/100,000 children in Karnataka, 3.2 cases/100,000 children in Chennai, and 10.2 cases/100,000 children in Karnal (Haryana). T1DM may be autoimmune or idiopathic in nature and is present in 9% cases of insulin deficiency. T1DM is primarily caused by genetic factors, environmental factors, and disorder of the immune regulatory mechanism. A combination of all these three factors causes autoimmune disease, which may ultimately result in the destruction of pancreatic beta cells leading to hyperglycemia, ketoacidosis and potentially death, if not treated with insulin. Prediabetes is the phase before the onset of T1DM, which provides a window of opportunity for early intervention. All available interventions including steroids, immunosuppressants, and cyclosporins can be possibly applied during the prediabetes phase. The treatment goals for T1DM are simple and include maintaining near normal blood glucose levels and avoiding long-term complications, which is a constant juggle between insulin and maintaining an appropriate lifestyle. The Indian Council of Medical Research funded Registry of People with diabetes in India with young age at onset (YDR) was started in the year 2006 with 10 collaborating centres across India. This registry is focusing on to provide an overview of diabetes in the young.

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.

The Environmental Determinants of Diabetes in the Young (TEDDY): genetic criteria and international diabetes risk screening of 421 000 infants

AIMS

The Environmental Determinants of Diabetes in the Young (TEDDY) study seeks to identify environmental factors influencing the development of type 1 diabetes (T1D) using intensive follow-up of children at elevated genetic risk. This study requires a cost-effective yet accurate screening strategy to identify the high-risk cohort.

METHODS

The TEDDY cohort was identified through newborn screening using human leukocyte antigen (HLA) class II genes based on criteria established with pre-TEDDY data. HLA typing was completed at six international centers using different genotyping methods that can achieve >98% accuracy.

RESULTS

TEDDY developed separate inclusion criteria for the general population (GP) and first-degree relatives (FDRs) of T1D patients. The FDR eligibility includes nine haplogenotypes (DR3/4, DR4/4, DR4/8, DR3/3, DR4/4b, DR4/1, DR4/13, DR4/9, and DR3/9) for broad HLA diversity, whereas the GP eligibility includes only the first four haplogenotypes with DRB1*0403 as an exclusion allele. TEDDY has screened 414 714 GP infants, of which 19 906 (4.8%) were eligible, whereas 1415 of the 6333 screened FDR infants (22.2%) were eligible. High-resolution confirmation testing of the eligible subjects indicated that the low-cost and low-resolution genotyping techniques employed at the screening centers yielded an accuracy of 99%. There were considerable variations in eligibility rates among the centers for GP (3.5-7.4%) and FDR (19-32%) subjects. The eligibility rates among US ethnic groups were 0.9, 1.3, 5.0, and 6.9% for Asians, Black, Caucasians, and Hispanics, respectively.

CONCLUSIONS

Different low-cost and low-resolution genotyping methods are useful for the efficient and accurate identification of a high-risk cohort for follow-up based on the TEDDY HLA inclusion criteria.

Psychological impact of screening and prediction in type 1 diabetes

Screening programs designed to identify persons at risk for type 1 diabetes via genetic and antibody testing are controversial because they typically target children, provide only a crude estimate of type 1 diabetes risk, and offer no means of preventing the disease. For this reason, genetic and antibody testing for type 1 diabetes risk is usually limited to carefully conducted research studies. The psychological impact of such screening programs include cognitive, emotional, and behavioral sequelae; the available literature has focused primarily on parents, and usually mothers, since the target of screening is usually infants or young children. Diabetes risk is a difficult construct to effectively communicate. Many individuals fail to accurately understand risk; inaccurate risk perceptions may increase over time and have been associated with early study withdrawal. Simply asking study participants if they understand the risk information provided is insufficient. Anxiety and worry are common reactions to learning that you or a loved one is at increased risk for type 1 diabetes. For most people, anxiety and worry dissipate with time but some individuals may be particularly vulnerable to prolonged anxiety or depression. Although there is no known means to prevent type 1 diabetes in at-risk individuals, families often report increased surveillance of those at risk and behavior changes to prevent the disease, potentially threatening the internal validity of the study.

The Environmental Determinants of Diabetes in the Young (TEDDY) study: predictors of early study withdrawal among participants with no family history of type 1 diabetes

OBJECTIVE

The Environmental Determinants of Diabetes in the Young (TEDDY) study seeks to identify environmental triggers of autoimmunity and type 1 diabetes mellitus (T1DM) in children at increased human-leukocyte-antigen conferred genetic risk for this disease. The objective of this study was to identify predictors of early withdrawal from TEDDY among families with no immediate family history of T1DM.

METHOD

Logistic multiple regression was used to discriminate 2994 (83%) families currently active in the TEDDY study for ≥1 yr from 763 (17%) families who withdrew in the first year. Data collected on the screening form at the time of the child's birth and from interview and questionnaire data obtained at the baby's first study visit (at ≤4.5 months of age) were used.

RESULTS

Significant and independent predictors of early withdrawal included country of residence, young maternal age, no father participation, and female gender of the study participant. Mothers of children who withdrew were more likely to report smoking during pregnancy, abstaining from alcohol, and reducing their work hours or not working at all during pregnancy. Mothers who withdrew were also more likely to underestimate their child's risk for T1DM and fail to respond to multiple items on the enrollment questionnaires or interview. Among mothers with accurate risk perceptions, those experiencing high anxiety about their child's risk were more likely to be early withdrawals.

CONCLUSIONS

Identifying families at high risk for study withdrawal at the time of enrollment allows for targeting these families with individually tailored plans to help maintain their participation in the study.

Type 1 Diabetes: Etiology, Immunology, and Therapeutic Strategies

Type 1 diabetes (T1D) is a chronic autoimmune disease in which destruction or damaging of the beta-cells in the islets of Langerhans results in insulin deficiency and hyperglycemia. We only know for sure that autoimmunity is the predominant effector mechanism of T1D, but may not be its primary cause. T1D precipitates in genetically susceptible individuals, very likely as a result of an environmental trigger. Current genetic data point towards the following genes as susceptibility genes: HLA, insulin, PTPN22, IL2Ra, and CTLA4. Epidemiological and other studies suggest a triggering role for enteroviruses, while other microorganisms might provide protection. Efficacious prevention of T1D will require detection of the earliest events in the process. So far, autoantibodies are most widely used as serum biomarker, but T-cell readouts and metabolome studies might strengthen and bring forward diagnosis. Current preventive clinical trials mostly focus on environmental triggers. Therapeutic trials test the efficacy of antigen-specific and antigen-nonspecific immune interventions, but also include restoration of the affected beta-cell mass by islet transplantation, neogenesis and regeneration, and combinations thereof. In this comprehensive review, we explain the genetic, environmental, and immunological data underlying the prevention and intervention strategies to constrain T1D.

Genetic testing of newborns for type 1 diabetes susceptibility: a prospective cohort study on effects on maternal mental health

BACKGROUND

Concerns about the general psychological impact of genetic testing have been raised. In the Environmental Triggers of Type 1 Diabetes (MIDIA) study, genetic testing was performed for HLA-conferred type 1 diabetes susceptibility among Norwegian newborns. The present study assessed whether mothers of children who test positively suffer from poorer mental health and well-being after receiving genetic risk information about their children.

METHODS

The study was based on questionnaire data from the Norwegian Mother and Child Cohort (MoBa) study conducted by the Norwegian Institute of Public Health. Many of the mothers in the MoBa study also took part in the MIDIA study, in which their newborn children were tested for HLA-conferred genetic susceptibility for type 1 diabetes. We used MoBa questionnaire data from the 30th week of pregnancy (baseline) and 6 months post-partum (3-3.5 months after disclosure of test results). We measured maternal symptoms of anxiety and depression (SCL-8), maternal self-esteem (RSES), and satisfaction with life (SWLS). The mothers also reported whether they were seriously worried about their child 6 months post-partum. We compared questionnaire data from mothers who had received information about having a newborn with high genetic risk for type 1 diabetes (N = 166) with data from mothers who were informed that their baby did not have a high-risk genotype (N = 7224). The association between genetic risk information and maternal mental health was analysed using multiple linear regression analysis, controlling for baseline mental health scores.

RESULTS

Information on genetic risk in newborns was found to have no significant impact on maternal symptoms of anxiety and depression (p = 0.9), self-esteem (p = 0.2), satisfaction with life (p = 0.2), or serious worry about their child (OR = 0.98, 95% CI 0.64-1.48). Mental health before birth was strongly associated with mental health after birth. In addition, an increased risk of maternal worry was found if the mother herself had type 1 diabetes (OR = 2.39, 95% CI 1.2-4.78).

CONCLUSIONS

This study did not find evidence supporting the notion that genetic risk information about newborns has a negative impact on the mental health of Norwegian mothers.

Dysregulation of lipid and amino acid metabolism precedes islet autoimmunity in children who later progress to type 1 diabetes

The risk determinants of type 1 diabetes, initiators of autoimmune response, mechanisms regulating progress toward β cell failure, and factors determining time of presentation of clinical diabetes are poorly understood. We investigated changes in the serum metabolome prospectively in children who later progressed to type 1 diabetes. Serum metabolite profiles were compared between sample series drawn from 56 children who progressed to type 1 diabetes and 73 controls who remained nondiabetic and permanently autoantibody negative. Individuals who developed diabetes had reduced serum levels of succinic acid and phosphatidylcholine (PC) at birth, reduced levels of triglycerides and antioxidant ether phospholipids throughout the follow up, and increased levels of proinflammatory lysoPCs several months before seroconversion to autoantibody positivity. The lipid changes were not attributable to HLA-associated genetic risk. The appearance of insulin and glutamic acid decarboxylase autoantibodies was preceded by diminished ketoleucine and elevated glutamic acid. The metabolic profile was partially normalized after the seroconversion. Autoimmunity may thus be a relatively late response to the early metabolic disturbances. Recognition of these preautoimmune alterations may aid in studies of disease pathogenesis and may open a time window for novel type 1 diabetes prevention strategies.

Newborn screening in North America

Newborn screening in North America dates to the early work of Bob Guthrie in the USA. Screening programmes in both the USA and Canada began in the early 1960s, with documented programmes in both countries as early as 1962. Throughout the 1960s and 1970s, many of the screening tests that later became part of routine screening around the world were developed in US and Canadian laboratories, including tests for phenylketonuria, other inborn errors of metabolism, congenital hypothyroidism, congenital adrenal hyperplasia, and haemoglobinopathies. An automated punching machine developed in the USA facilitated screening expansion by significantly reducing sample preparation time and effort. US and Canadian programmes were leaders in applying computerized data management to newborn screening in the 1980s. In the 1990s, DNA and tandem mass spectrometry testing protocols were developed in the USA and applied to newborn screening. US programmes have continually expanded over time, while most Canadian programmes have not. With impetus from private laboratories and professional and consumer groups, many US programmes now screen for more than 50 conditions and there is increased expansion activity in Canada. NBS research in the USA is focused on improving system efficiency and translating other genetic testing to NBS, particularly where new technologies and treatment therapies exist. Although national newborn screening policies do not exist in either Canada or the USA, there are intense efforts to provide uniform access to screening nationwide in both countries. New partnerships between health professionals, consumers and politicians are benefiting the overall screening systems in both countries.

Assessing the utility of SELDI-TOF and model averaging for serum proteomic biomarker discovery

The SELDI-TOF technique was used to profile serum proteins from Type 1 diabetes (T1D) patients and healthy autoantibody-negative (AbN) controls. Univariate and multivariate analyses were performed to identify putative biomarkers for T1D and to assess the reproducibility of the SELDI technique. We found 146 protein/peptide peaks (581 total peaks discovered) in human serum showing statistical differences in expression levels between T1D patients and controls, with 84% of these peaks showing technical replication. Because individual proteins did not offer great power for disease prediction, we used our model averaging approach that combines the information from multiple multivariate models to accurately classify T1D and control subjects (88.9% specificity and 90.0% sensitivity). Analyses of a test subset of the data showed less accuracy (82.8% specificity and 76.2% sensitivity), although the results are still positive. Unfortunately, no multivariate model could be replicated using the same samples. This first attempt of high throughput analyses of the human serum proteome in T1D patients suggests that model averaging is a viable method for developing biomarkers; however, the reproducibility of SELDI-TOF is currently not sufficient to be used for classification of complex diseases like T1D.

Maternal understanding of infant diabetes risk: differential effects of maternal anxiety and depression

PURPOSE

This study describes maternal understanding of infant risk associated with newborn genetic screening for type 1 diabetes.

METHODS

Mothers of at-risk infants (n = 195), identified through the Prospective Assessment of Newborns for Diabetes Autoimmunity study, were notified of risk status by standardized script. Mothers participated in structured telephone interviews 1 and 3.5 months after notification that assessed understanding of infant risk and psychologic response to the news.

RESULTS

Most mothers (78.5%) were accurate in their understanding of infant risk at the initial interview, with a slight decline at the follow-up interview (73%). There was a significant increase in underestimation of risk from the initial (12%) to the follow-up interview (19%) (chi2 (1) = 6.0, P = .01). Mothers with less education, those from ethnic minority backgrounds, and those who were not married tended to be less accurate. Further, mothers who experienced more anxiety and fewer depressive symptoms in response to the news were more likely to be accurate. Likewise, underestimation of risk was associated with fewer anxiety and more depressive symptoms.

CONCLUSION

This study highlights the complex picture of factors promoting maternal understanding of infant diabetes risk in a sample of mothers whose newborns had been identified as at increased risk for type 1 diabetes.

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.

Immunomodulation with human recombinant autoantigens

The loss of beta cells in type 1 diabetes is the consequence of a T cell-dependent autoimmune attack. Autoantibodies against GAD65 (Mr 65.000 isoform of glutamic acid decarboxylase), IA-2 (insulinoma-associated protein IA-2) or insulin, alone or in combination, predict disease. Preclinical studies in spontaneously diabetic rodents suggest that immunomodulation with autoantigens might alter the course of autoimmune diabetes. Oral insulin reduces the development of diabetes in risk subjects with high insulin autoantibody levels. Giving alum-formulated GAD65 to patients classified with latent autoimmune diabetes of the adult (LADA) is safe and suggests possible immunomodulating effects of GAD65. Future immunomodulation trials might better ascertain subjects based on HLA genetic risk factors, the level of insulin that is still produced or by combining autoantigens with, for example, anti-CD3 antibodies, to induce antigen-specific tolerance and thereby a long-lasting protection for beta cells.

Depressive symptoms in mothers of infants identified as genetically at risk for type 1 diabetes

OBJECTIVE

This study describes maternal depression associated with newborn genetic screening for type 1 diabetes after risk notification.

RESEARCH DESIGN AND METHODS

Mothers of at-risk infants (n = 192), identified through newborn genetic screening as part of the Prospective Assessment of Newborns for Diabetes Autoimmunity study, were administered a structured telephone interview assessing maternal depressive symptoms 1 and 3.5 months after risk notification. Statistical analyses were conducted to examine predictors and correlates of maternal depressive symptoms.

RESULTS

For the total sample, maternal depressive symptoms in response to infant risk status were not elevated at 1 and 3.5 months after risk notification. However, at the first interview, mothers from ethnic minority backgrounds (P < 0.002), with limited education (P < 0.001), and with postpartum depression symptomatology (P < 0.001) reported significantly more depressive symptoms in response to risk notification (r2 = 0.354). At the second interview, postpartum depression symptomatology remained a powerful predictor of depressive symptoms in response to risk notification (P < 0.001). In addition, certain coping styles (wishful thinking, self-blame, and seeking social support) were associated with increased depressive symptoms. A history of major depression was a correlate of both postpartum depressive symptomatology (r = 0.26) and maternal depressive response to risk notification (r = 0.21).

CONCLUSIONS

For the most part, mothers of infants genetically at risk for type 1 diabetes do not appear to evidence elevated depressive symptoms. This suggests that most mothers are resilient when notified of infant risk. However, certain maternal characteristics such as ethnic minority status, less than a high school education, postpartum depression symptomatology, a history of major depression, and certain coping strategies (wishful thinking, self-blame, and seeking social support) appear to be associated with a more difficult maternal response to the news of an infant's increased genetic risk for type 1 diabetes.

Maternal efforts to prevent type 1 diabetes in at-risk children

OBJECTIVE

The aim of this study was to assess maternal diabetes prevention efforts aimed at children identified as at risk through newborn genetic screening.

RESEARCH DESIGN AND METHODS

A total of 192 mothers of children identified as at risk for type 1 diabetes through newborn genetic screening were administered a structured interview 3.6 +/- 0.8 years after risk notification. The interview assessed possible diabetes prevention behaviors across six domains: health surveillance, diet, physical activity, illness prevention, medications, and stress reduction. A mother's cognitive (diabetes risk perception and perceived control), affective (anxiety), and coping responses to the child's at-risk status were assessed.

RESULTS

A total of 67% of mothers reported one or more diabetes prevention behaviors. Monitoring behaviors (e.g., watching for signs of diabetes and checking blood glucose) were the most common, reported in 59%, followed by modifications in the child's diet in 34% and physical activity in 14%. Potentially harmful prevention behaviors (e.g., limiting contact with other children, delaying immunizations, and giving medications including insulin) were rare. Mothers who engaged in diabetes prevention behaviors reported higher diabetes risk perception, greater anxiety, and more use of certain coping styles. Infants of these mothers were more likely to have a first-degree relative with diabetes.

CONCLUSIONS

In the absence of known methods of preventing type 1 diabetes, most mothers of at-risk children report diabetes prevention behaviors. Such behaviors must be more carefully assessed to ensure accurate interpretation of data obtained from natural history studies and prevention trials.

Parent responses to participation in genetic screening for diabetes risk

Screening for type 1 diabetes (T1DM) risk in newborns has little negative emotional impact on mothers. In this study, the impact on the mother and the father was evaluated both in the general population and in families with diabetes. All parents with a newborn in Skane, Sweden, were invited to a screening for T1DM risk in their children (the Diabetes Prediction in Skane (DiPiS)). Blood was obtained at delivery from the mother and the child. When the child was 2 months old, parents gave written consent and filled out questionnaires, but were not informed about the genetic risk. Of the 10 538 invited families, 6831 (64.8%) consented and 806 (7.7%) declined participation. Five questions addressing both parents were filled out by 6676 (63.4%) mothers and 6099 (57.8%) fathers. In 146/6676 (2.2%) families, one family member had diabetes (D-families). Participation in DiPiS did not affect most parents and the majority was satisfied with the information. The majority of parents (28.9%) were reassured and only 1.1% (140/12,670) reported increased worries because of participation, compared to 2.8% of the mothers in D-families. Parents in D-families more often ascribed diabetes risk to their child as well as the risk being higher. Mothers and fathers differed in their answers on four of the five study questions, with mothers being more satisfied with the information, reporting more knowledge of diabetes, estimating lower risk of their child to get diabetes, but reporting more worries of possible future chronic disease in the child. Parents with lower education, being born abroad, or being younger who reported worries of chronic disease in the child were also reassured by participation in the study. These results confirm that screening for T1DM risk in newborns does not create worries in most parents, but stress that fathers differ from mothers in opinions and reactions, that parents' reactions are affected by diabetes in the family, and that demographic factors might be important for the parents' reports.

Genetics and type 1 diabetes: online resources for diabetes educators

PURPOSE

Genetic education Internet sites and peer-reviewed medical literature were reviewed and critiqued to develop tables summarizing online resources for diabetes health professionals.

METHODS

Using Internet search engines, each Web site identified for this project met the following criteria: (1) accurate and valid site content based on widely accepted genetic texts, (2) credibility of the organization that maintained the Web site, (3) ease of navigation, and (4) provision of continuing education credits. PubMed was used to find journal articles using similar criteria.

RESULTS

There were 33 Web sites on genetic education for diabetes health professionals that met the inclusion criteria. The literature search identified 36 articles regarding the importance of genetic education for nurses and other health professionals, as well as information regarding genetics and diabetes.

CONCLUSIONS

Valid and credible information on genetics and type 1 diabetes is available for diabetes health professionals on the Internet and in the medical literature.

Maternal anxiety associated with newborn genetic screening for type 1 diabetes

OBJECTIVE

To describe maternal anxiety associated with newborn genetic screening for type 1 diabetes during the first year after risk notification.

RESEARCH DESIGN AND METHODS

Mothers of at-risk infants (n = 435), identified through newborn genetic screening as part of the Prospective Assessment of Newborn for Diabetes Autoimmunity (PANDA) study, were administered a short form of the State Trait Anxiety Inventory (STAI) during telephone interviews approximately 3.5 weeks, 4 months, and 1 year after risk notification. Statistical analyses were conducted to examine predictors of maternal anxiety at each interview as well as changes in anxiety over time.

RESULTS

For the total sample, initial state STAI scores were not elevated and declined further over time. However, Hispanic mothers, those with low levels of education, those who overestimated the child's risk for diabetes, and mothers of infants in the highest risk group exhibited significantly elevated initial state STAI scores. At 4 months, higher state STAI scores were associated with higher initial state STAI scores, single parent status, having an infant with a first-degree relative with diabetes, and overestimation of the child's actual risk. Initial and 4-month STAI scores remained predictive of STAI scores at 1 year. In addition, single mothers and mothers of female children reported higher STAI state scores 1 year after risk notification.

CONCLUSIONS

For most mothers, newborn genetic screening to identify infants at increased risk for type 1 diabetes is not associated with significantly elevated maternal anxiety; anxiety further dissipates over time. However, anxiety levels vary considerably as a function of maternal ethnic status, education, marital status, maternal estimation of infant risk, and sex of the child and may be significantly elevated in some women.

Prevention opportunities in health care settings

Psychologists have an opportunity to offer their expertise at a time when health care settings are beginning to recognize the importance of behaviorally based interventions for improving health and health care. The authors review the changing patterns of health and illness that have led to an increased interest in the role of patient and provider behavior and discuss the many advantages of using health care settings as prevention sites. Examples of successful behaviorally based prevention programs are presented, along with the evidence supporting the cost-effectiveness of such programs. Challenges presented by working in health care settings are described. Throughout, the authors emphasize the multiple opportunities for psychologists' involvement across a wide variety of health care delivery sites.