Diagnosis Of Growth Hormone Deficiency In Children Research Articles

Diagnostic significance and considerations of growth hormone stimulation testing and insulin-like growth factor 1 in growth hormone deficiency

The growth hormone (GH)/insulin-like growth factor 1 (IGF-1) axis is an essential component of the hypothalamic-pituitary growth hormone axis and plays a crucial role in childhood growth and development. Disruptions and abnormalities in the GH/IGF-1 signaling pathway and its pathways typically manifest as short stature in children. Children with short stature often undergo GH stimulation testing and IGF-1 level measurements to differentiate growth hormone deficiency (GHD) from other causes of growth delay. This article aims to analyze and elucidate the values of GH stimulation testing and IGF-1 measurement, providing reference for the diagnosis of GHD in children.

Diagnosis and testing for growth hormone deficiency across the ages: a global view of the accuracy, caveats, and cut-offs for diagnosis.

Growth hormone deficiency (GHD) is a clinical syndrome that can manifest either as isolated or associated with additional pituitary hormone deficiencies. Although diminished height velocity and short stature are useful and important clinical markers to consider testing for GHD in children, the signs and symptoms of GHD are not always so apparent in adults. Quality of life and metabolic health are often impacted in patients with GHD; thus, making an accurate diagnosis is important so that appropriate growth hormone (GH) replacement therapy can be offered to these patients. Screening and testing for GHD require sound clinical judgment that follows after obtaining a complete medical history of patients with a hypothalamic-pituitary disorder and a thorough physical examination with specific features for each period of life, while targeted biochemical testing and imaging are required to confirm the diagnosis. Random measurements of serum GH levels are not recommended to screen for GHD (except in neonates) as endogenous GH secretion is episodic and pulsatile throughout the lifespan. One or more GH stimulation tests may be required, but existing methods of testing might be inaccurate, difficult to perform, and can be imprecise. Furthermore, there are multiple caveats when interpreting test results including individual patient factors, differences in peak GH cut-offs (by age and test), testing time points, and heterogeneity of GH and insulin-like growth factor 1 assays. In this article, we provide a global overview of the accuracy and cut-offs for diagnosis of GHD in children and adults and discuss the caveats in conducting and interpreting these tests.

Impact of BMI on Growth Hormone Stimulation Tests in Children and Adolescents: A Systematic Review and Meta-Analysis

Background: Peak stimulated growth hormone (GH) levels are known to decrease with increasing BMI, possibly leading to overdiagnosis of GH deficiency (GHD) in children with overweight and obesity. However, current guidelines do not provide guidance how to interpret peak GH values of these children, nor has this been assessed systematically. The aim of this systematic review and meta-analysis was to study the effect of BMI on stimulated peak GH values in children, and to quantify to which extent peak GH values in children with obesity are decreased. Methods: We searched the Medline, Embase, Cochrane, Web of Science, and Google Scholar databases (13 July 2020) for studies reporting impact of BMI on peak GH in children. Where possible, individual participant data was extracted and/or obtained from the authors. Primary outcome was the association between peak GH values and BMI standard deviation score (SDS). Pooled correlation coefficients were calculated under a random effects model, and exploratory moderator analyses and meta-regression were performed. Study heterogeneity was assessed using the I2 statistic. For studies with available individual participant data, linear mixed-models regression analysis was performed with BMI SDS as predictor and ln(peak GH) as outcome, accounting for used GH stimulation agent (fixed effect) and study (random effect). This systematic review was performed in accordance to the PRISMA guidelines. Results: In total, 56 studies were included, providing data on n=5100 children (1346 with individual participant data). Across all studies, a pooled r of -0.37 (95% CI -0.44 to -0.31, n=2785) was found. Study heterogeneity was large (I2=58%). Pubertal status, sex, presence of syndromic obesity, and mean age and BMI SDS of the population did not significantly moderate the pooled r (all p>0.05). Individual participant data analysis revealed a beta of -0.11 (95% CI -0.08 to -0.15, p<0.001), i.e., per 1 point increase in BMI SDS, peak GH decreases by 11% (95% CI 7 to 14%). In the 8 studies performed in children referred for short stature, obesity was present in 27/893 (3.02%) children without GHD and in 36/615 (5.85%) children with GHD (p=0.0069). This corresponds to a RR of 1.43 (95% CI 1.14 to 1.78, p=0.002) for a diagnosis of GHD in children with short stature with obesity compared to children without obesity. Discussion: To our knowledge, this is the first systematic review and meta-analysis to investigate the impact of BMI on peak GH values in children, showing a significant negative correlation and risk of overdiagnosis of GHD in children with obesity. All in all, with ever-rising prevalence of pediatric obesity, our study highlights the urgent need for BMI (SDS)-specific cut-off values for GH stimulation tests in children.

Identification of candidate serum biomarkers of childhood-onset growth hormone deficiency using SWATH-MS and feature selection

A typical clinical manifestation of growth hormone deficiency (GHD) is a short stature resulting from delayed growth, but GHD affects bone health, cardiovascular function and metabolic profile and therefore quality of life. Although early GH treatment during childhood has been shown to improve outcomes, no single biochemical parameter is currently available for the accurate diagnosis of GHD in children. There is hence a need for non-invasive biomarkers. In this study, the relative abundance of serum proteins from GHD children and healthy controls was measured by next-generation proteomics SWATH-MS technology. The data generated was analysed by machine-learning feature-selection algorithms in order to discover the minimum number of protein biomarkers that best discriminate between both groups. The analysis of serum proteins by a SWATH-MS approach yielded a useful method for discovering potential biomarkers of GHD in children. A total of 263 proteins were confidently detected and quantified in each sample. Pathway analysis indicated an effect on tissue/organ structure and morphogenesis. The top ten serum protein biomarker candidates were identified after applying feature-selection data analysis. The combination of three proteins – apolipoprotein A-IV, complement factor H-related protein 4 and platelet basic protein – demonstrated the best classification performance for our data. In addition, the apolipoprotein group resulted in strong over-representation, thus highlighting these proteins as an additional promising biomarker panel. SignificanceCurrently there is no single biochemical parameter available for the accurate diagnosis of growth hormone (GH) deficiency (GHD) in children. Simple GH measurements are not an option: because GH is released in a pulsatile action, its blood levels fluctuate throughout the day and remain nearly undetectable for most of that time. This makes measurements of GH in a single blood sample useless for assessing GH deficiency. Actually, the diagnosis of GHD includes a combination of direct and indirect non-accurate measurements, such as taking several body measurements, testing GH levels in multiple blood samples after provocative tests (GH peak <7.3ng/mL, using radioimmunoassay), and conducting magnetic resonance imaging (MRI), among others. Therefore, there is a need for simple, non-invasive, accurate and cost-effective biomarkers. Here we report a case-control study, where relative abundance of serum proteins were measured by next-generation proteomics SWATH-MS technology in 15 GHD children and 15healthy controls matched by age, sex, and not receiving any treatment. Data generated was analysed by machine learning feature selection algorithms. 263 proteins could be confidently detected and quantified on each sample. The top 10 serum protein biomarker candidates could be identified after applying a feature selection data analysis. The combination of three proteins, apolipoprotein A-IV, complement factor H-related protein 4 and platelet basic protein, showed the best classification performance for our data. In addition, the fact that the pathway and GO analysis we performed pointed to the apolipoproteins as over-represented highlights this protein group as an additional promising biomarker panel for the diagnosis of GHD and for treatment evaluation.

Is growth hormone stimulation testing in children still appropriate?

The diagnosis of growth hormone deficiency (GHD) historically has relied on measurement of growth hormone (GH) concentrations following stimulation, usually with a non-physiologic provocative agent. Despite the use of more specific GH assays, the peak concentration of GH below which a child is considered GH deficient has risen. We examine the pitfalls associated with GH stimulation tests, specifically, the lack of reliability and accuracy of these tests, and their inability to predict who will benefit from GH therapy. We recommend that GH stimulation tests no longer routinely be used for the diagnosis of GHD in children.

Effect of severe growth hormone (GH) deficiency due to a mutation in the GH-releasing hormone receptor on insulin-like growth factors (IGFs), IGF-binding proteins, and ternary complex formation throughout life.

Measurement of the insulin-like growth factors (IGFs) and their binding proteins has become commonplace in the indirect assessment of the integrity of the GH axis. However, the relative effect of GH deficiency (GHD) on each component of the IGF axis and the merit of any one parameter as a diagnostic test have not been defined in a homogeneous population across all ages. We therefore measured IGF-I, IGF-II, IGF-binding protein-1 (IGFBP-1), IGFBP-2, IGFBP-3, and acid labile subunit (ALS) in 27 GHD subjects (aged 5-82 yr) from an extended kindred in Northeast Brazil with an identical GHRH receptor mutation and in 55 indigenous controls (aged 5-80 yr). The effect of GHD on the theoretical distribution of IGFs between the IGFBPs and the ternary complex was also examined. All components of the IGF axis, measured and theoretical, showed complete separation between GHD and control subjects, except IGFBP-1 and IGFBP-2 concentrations, which did not differ. The most profound effects of GHD were on total IGF-I, IGF-I in the ternary complex, and ALS. The proportion of IGF-I associated with IGFBP-3 remained constant throughout life, but was significantly lower in GHD due to an increase in IGF-I/IGFBP-2 complexes. IGF-I in the ternary complex was determined principally by concentrations of ALS in GHD and IGFBP-3 in controls, implying that ALS has greater GH dependency. In the controls, IGF-II was associated primarily with IGFBP-3 and to a lesser extent with IGFBP-2, whereas in GHD the reverse was found. There was also a dramatic decline in the proportion of free ALS in GHD adults that was not evident in controls. As diagnostic tests, IGF-I in the ternary complex and total IGF-I provided the greatest separation between GHD and controls in childhood. Similarly, in older adults the best separation was achieved with IGF-I in the ternary complex, with free ALS being optimal in younger adults. Severe GHD not only reduces the amounts of IGFs, IGFBP-3, and ALS, but also modifies the distribution of the IGFs bound to each IGFBP. Diagnostic tests used in the investigation of GHD should be tailored to the age of the individual. In particular, measurement of IGF-I in the ternary complex may prove useful in the diagnosis of GHD in children and older adults, whereas free ALS may be more relevant to younger adults.