AI Article Synopsis

  • Growth hormone deficiency (GHD) is treated with recombinant human GH (rhGH), but individual responses to the treatment can differ due to genetic factors.
  • Researchers analyzed genetic polymorphisms in 101 pediatric GHD patients to identify variants that might predict how well they respond to rhGH therapy.
  • They found significant associations between two specific genetic variations (SNPs) and an exon 3 deletion with the treatment response, suggesting that genetic testing could help personalize GHD treatment.

Article Abstract

Growth hormone (GH) deficiency (GHD) is commonly treated with recombinant human GH (rhGH). Individual response to rhGH therapy varies widely and there is evidence that variations in growth-related genes, e. g. the GH receptor (GHR) gene, may impact treatment response. We aimed to identify genetic polymorphisms which could serve as predictive markers of response to rhGH therapy. We conducted a genetic analysis of single nucleotide polymorphisms (SNPs) and the exon 3 deletion in 101 paediatric GHD patients receiving rhGH. Patients were analysed for 13 known SNPs in 11 genes of the GH axis (), growth plate () and cell cycle (). Individual index of responsiveness (IoR) values were compared by genotype. We also analysed the potential association between the IoR and the GHR exon 3 deletion. IoRs were analysed by genotype by one-way analysis of variance and unpaired t-test. Variations in two SNPs, rs2888586 () and rs2069502 (), and the exon 3 deletion were significantly associated with response to rhGH treatment. Genetic variations are potentially suitable as predictive markers of rhGH treatment response in GHD. Genetic analysis provides a starting point for individualised treatment of GHD.

Download full-text PDF

Source
http://dx.doi.org/10.1055/s-0043-115223DOI Listing

Publication Analysis

Top Keywords

predictive markers
12
growth hormone
12
response rhgh
12
exon deletion
12
genetic polymorphisms
8
markers response
8
hormone deficiency
8
rhgh therapy
8
treatment response
8
genetic analysis
8

Similar Publications

Background: Pancreatic ductal adenocarcinoma (PDAC) has a heterogeneous make-up of myeloid cells that influences the therapeutic response and prognosis. However, understanding the myeloid cell at both a genetic and cellular level remains a significant challenge.

Methods: Single-cell RNA sequencing (scRNA-seq) data were downloaded from t the Tumor Immune Single-cell Hub and gene expression data were retrieved from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database.

View Article and Find Full Text PDF

Genomic selection using white clover multi-year-multi-site data showed predicted genetic gains through integrating among-half-sibling-family phenotypic selection and within-family genomic selection were up to 89% greater than half-sibling-family phenotypic selection alone. Genomic selection, an effective breeding tool used widely in plants and animals for improving low-heritability traits, has only recently been applied to forages. We explored the feasibility of implementing genomic selection in white clover (Trifolium repens L.

View Article and Find Full Text PDF

Background And Aims: Chronic hepatitis D virus (HDV) infection can cause severe liver disease. With new treatment options available, it is important to identify patients at risk for liver-related complications. We aimed to investigate kinetics and predictive values of novel virological and immunological markers in the natural course of chronic HDV infection.

View Article and Find Full Text PDF

Semiparametric estimator for the covariate-specific receiver operating characteristic curve.

Stat Methods Med Res

January 2025

CITMAga and Department of Statistics and Operations Research, Universidade de Vigo, Vigo, Galicia, Spain.

The study of the predictive ability of a marker is mainly based on the accuracy measures provided by the so-called confusion matrix. Besides, the area under the receiver operating characteristic curve has become a popular index for summarizing the overall accuracy of a marker. However, the nature of the relationship between the marker and the outcome, and the role that potential confounders play in this relationship could be fundamental in order to extrapolate the observed results.

View Article and Find Full Text PDF

The COVID-19 pandemic has left an indelible mark globally, presenting numerous challenges to public health. This crisis, while disruptive and impactful, has provided a unique opportunity to gather precious clinical data extensively. In this observational, case-control study, we utilized data collected at the Azienda Sanitaria Universitaria Friuli Centrale, Italy, to comprehensively characterize the immuno-inflammatory features in COVID-19 patients.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!