Effect of summer daylight exposure and genetic background on growth in growth hormone-deficient children.

The response to growth hormone in humans is dependent on phenotypic, genetic and environmental factors. The present study in children with growth hormone deficiency (GHD) collected worldwide characterised gene-environment interactions on growth response to recombinant human growth hormone (r-hGH). Growth responses in children are linked to latitude, and we found that a correlate of latitude, summer daylight exposure (SDE), was a key environmental factor related to growth response to r-hGH. In turn growth response was determined by an interaction between both SDE and genes known to affect growth response to r-hGH. In addition, analysis of associated networks of gene expression implicated a role for circadian clock pathways and specifically the developmental transcription factor NANOG. This work provides the first observation of gene-environment interactions in children treated with r-hGH.

Circulating asymmetric dimethylarginine and lipid profile in pre-pubertal children with growth hormone deficiency: effect of 12-month growth hormone replacement therapy.

OBJECTIVE: Growth hormone deficiency (GHD) in adults is associated with cardiovascular complications, which lead to reduced life expectancy. At present, data on cardiovascular risk factors in GHD children are limited. The aim of this study was to evaluate whether pre-pubertal GHD children have increased cardiovascular risk factors, and whether 12-month growth hormone (GH) treatment can reverse them. DESIGN: Twenty pre-pubertal GHD children (6 boys, mean (±SD) age: 9.5±1.8 years) were matched for sex and age with 20 healthy controls (6 boys, mean (±SD) age: 8.8±1.5 years). Asymmetric dimethylarginine (ADMA), lipid profile, glucose metabolism parameters, IGF-1, blood pressure and anthropometric parameters were assessed at baseline and after 12 months of GH treatment. RESULTS: At baseline, GHD patients showed significantly higher ADMA levels (median [interquartile range]: 78.5 [69.6-123.5] vs 54.0 [38.3-60.8] ng/ml, p<0.001), total cholesterol (mean±SD: 177.5±30.4 vs 150.1±21.4 mg/dl; p=0.004) and LDL-cholesterol (mean±SD: 111.2±22.2 vs 84.9±15.9 mg/dl; p<0.001) than controls. After 12-month GH treatment, ADMA (median [interquartile range]: 55.4 [51.2-73.8] ng/ml), total cholesterol (mean±SD: 155.6±43.2 mg/dl), and LDL-cholesterol (mean±SD: 95.4±32.1 mg/dl) significantly decreased in GHD children, reaching values comparable to those in controls. CONCLUSIONS: This study showed that, as in adults, pre-pubertal GHD children manifest increased cardiovascular risk markers and that 12-month GH treatment can improve them.

Insights into the pathophysiology of catch-up compared with non-catch-up growth in children born small for gestational age: an integrated analysis of metabolic and transcriptomic data.

Small for gestational age (SGA) children exhibiting catch-up (CU) growth have a greater risk of cardiometabolic diseases in later life compared with non-catch-up (NCU) SGA children. The aim of this study was to establish differences in metabolism and gene expression profiles between CU and NCU at age 4-9 years. CU children (n=22) had greater height, weight and body mass index standard deviation scores along with insulin-like growth factor-I (IGF-I) and fasting glucose levels but lower adiponectin values than NCU children (n=11; all P<0.05). Metabolic profiling demonstrated a fourfold decrease of urine myo-inositol in CU compared with NCU (P<0.05). There were 1558 genes differentially expressed in peripheral blood mononuclear cells between the groups (P<0.05). Integrated analysis of data identified myo-inositol related to gene clusters associated with an increase in insulin, growth factor and IGF-I signalling in CU children (P<0.05). Metabolic and transcriptomic profiles in CU SGA children showed changes that may relate to cardiometabolic risk.

Timing of puberty and physical growth in obese children: a longitudinal study in boys and girls.

OBJECTIVE: To assess whether puberty and physical growth vary in obese when compared to normal-weight children. METHODS: One hundred obese pre-pubertal children (44 boys; mean age (±SD): 9.01 ± 0.62 years; 56 girls; 8.70 ± 0.57 years) were compared to 55 normal-weight controls (27 boys; 9.17 ± 0.26 years; 28 girls; 8.71 ± 0.62 years). All study participants were followed prospectively with 6-monthly follow-up visits. At each study visit, height, weight, body mass index (BMI) and pubertal stage were assessed. RESULTS: Obese children entered puberty and achieved later stages of puberty earlier than controls (onset of puberty: boys: 11.66 ± 1.00 vs. 12.12 ± 0.91 years, P = 0.049; girls: 9.90 ± 0.78 vs. 10.32 ± 1.70, P = 0.016; late puberty: boys: 13.33 ± 0.71 vs. 14.47 ± 1.00 years, P < 0.001; girls: 11.54 ± 0.99 vs. 12.40 ± 1.02, P = 0.001). Pre-pubertal BMI standard deviation score (SDS) was inversely associated with both age at the onset of puberty (ß = -0.506, P < 0.001) and age at late puberty (ß = -0.514, P < 0.001). Obese children also showed an earlier age at peak height velocity (PHV) (boys: 12.62 ± 0.82 vs. 13.19 ± 0.96 years, P = 0.01; girls: 11.37 ± 0.89 vs. 12.77 ± 0.76, P < 0.001) and a lower PHV (boys: 7.74 ± 1.49 vs. 9.28 ± 1.64 cm year(-1) , P < 0.001; girls: 7.60 ± 1.64 vs. 8.29 ± 1.03, P = 0.03). Height SDS progressively declined over the study period in the obese group (P for trend <0.001), whereas there were no significant changes in the control group (P for trend = 0.5). CONCLUSIONS: Obese boys and girls presented an earlier onset of puberty and completion of puberty and an impaired height gain during puberty.

Network analysis: a new approach to study endocrine disorders.

Systems biology is the study of the interactions that occur between the components of individual cells - including genes, proteins, transcription factors, small molecules, and metabolites, and their relationships to complex physiological and pathological processes. The application of systems biology to medicine promises rapid advances in both our understanding of disease and the development of novel treatment options. Network biology has emerged as the primary tool for studying systems biology as it utilises the mathematical analysis of the relationships between connected objects in a biological system and allows the integration of varied 'omic' datasets (including genomics, metabolomics, proteomics, etc.). Analysis of network biology generates interactome models to infer and assess function; to understand mechanisms, and to prioritise candidates for further investigation. This review provides an overview of network methods used to support this research and an insight into current applications of network analysis applied to endocrinology. A wide spectrum of endocrine disorders are included ranging from congenital hyperinsulinism in infancy, through childhood developmental and growth disorders, to the development of metabolic diseases in early and late adulthood, such as obesity and obesity-related pathologies. In addition to providing a deeper understanding of diseases processes, network biology is also central to the development of personalised treatment strategies which will integrate pharmacogenomics with systems biology of the individual.

Pharmacogenomics related to growth disorders.

Growth disorders resulting in short stature are caused by a wide range of underlying pathophysiological processes. To improve height many of these conditions are treated with recombinant human growth hormone (rhGH). However, substantial inter-individual variability in growth response both in the short and long-term is recognised. Over the last decade, disease-specific growth prediction models have been developed that the clinician can use to define a child's potential response to rhGH and to optimise starting and maintenance doses of rhGH. These models, however, are not able to predict all the variations in treatment response. There has, therefore, been recent interest in using genetic information to contribute to the evaluation of responses to rhGH, including high-throughput technologies for assessing DNA markers (genome) and mRNA transcripts (transcriptome) as pharmacogenomic tools. This review will focus on how these pharmacogenomic approaches are being applied to growth disorders.

[A case of neonatal lupus syndrome and congenital atrioventricular block associated with maternal antibodies antiRo/SS-A]. / Un caso di lups neonatale con blocco atrioventricolare congenito da madre con anticorpi antiRo/SS-A.

The neonatal lupus erythematosus syndrome (LEN) is a disease due to the transplacental passage of maternal antiextractable nuclear antigens (ENA) antibodies, particularly anti-Ro/SS-A and anti-La/SS-B. The disease affects neonates born from mothers with autoimmune diseases. It is characterized by erythematous annular polycylic skin lesions, slightly scaling with prevalent face localization, hematologic and liver diseases and only in 2% of cases with extracutaneous lesions including complete atrioventricular block. The Authors describe a case of LEN characterized by isolated atrioventricular block at birth and endocardial fibroelastosis without skin lesions in a preterm infant female. She was born from asymptomatic, ANA (Anti-Nuclear Antibodies) and ENA (anti-Extractable Nuclear Antigen) positive mother, with a previous miscarriage at the 5th week of gestation.