Objectives: Inflammation is a feature of non-alcoholic fatty liver disease progression and plays an important role in hepatic steatosis and fibrosis. Since there are no studies in the literature showing the relationship between hepatosteatosis with the systemic immune-inflammation index (SII) and pan-immune inflammation value (PIV), we aimed to evaluate the relationship between these biomarkers and hepatosteatosis in childhood. Methods: We included 133 consecutive obese children and adolescents aged 6–18 years into this single-center, retrospective, and cross-sectional study. Anthropometric, physical examination, radiological and laboratory data were obtained and recorded from the file records of each case. Results: When we grouped the patient population according to the grade of hepatosteatosis, there was a statistically significant difference between the groups in terms of SII and PIV values (p<0.05, for both). In the analyzes performed to identify independent predictors of hepatosteatosis pubertal status (p=0.019) and PIV value (p<0.001) were found to be significant as independent predictors. Moreover, in the analysis performed to predict severity of hepatic steatosis, regression analysis was performed by dividing the groups into groups with and without severe adiposity. As a result of this analysis, HOMA-IR (p=0.019) and PIV value (p=0.028) were found to be significant in the prediction of severe hepatic adiposity. Conclusions: Our findings showed that increased PIV levels were associated with the presence and severity of hepatic steatosis, but not with SII.

Primary adrenal insufficiency (PAI) is a rare but potentially life-threatening condition. In childhood, PAI is usually caused by monogenic diseases. Although congenital adrenal hyperplasia (CAH) is the most common cause of childhood PAI, numerous non-CAH genetic causes have also been identified. Patients aged 0-18 years and diagnosed with PAI between 1998 and 2019 in a tertiary care hospital were retrospectively evaluated. After the etiologic distribution was determined, non-CAH PAI patients were evaluated in detail. Seventy-three PAI patients were identified. The most common etiology was CAH (69.9%, n=51). Non-CAH etiologies accounted for 30.1% (n=22) and included adrenoleukodystrophy (ALD; n=8), familial glucocorticoid deficiency (n=3), Triple A syndrome (n=5), autoimmune adrenalitis (n=1), adrenal hypoplasia congenital (n=1), IMAGe syndrome (n=1), and other unknown etiologies (n=3). The median age at the time of AI diagnosis for non-CAH etiologies was 3.52 (0.03-15.17) years. The most frequent symptoms/clinical findings at onset were hyperpigmentation of skin (81.8%), symptoms of hypoglycemia (40.9%), and weakness/fatigue (31.8%). Hypoglycemia (50.0%), hyponatremia (36.4%) and hyperkalemia (22.7%) were prominent biochemical findings. Diagnosis of specific etiologies were proven genetically in 13 of 22 patients. A novel p.Q301* hemizygous frameshift mutation of the DAX1 gene was identified in one patient. Etiology was determined in 86.3% of children with non-CAH PAI through specific clinical and laboratory findings with/without molecular analysis of candidate genes. ALD was the most common etiology. Currently, advanced molecular analysis can be utilized to establish a specific genetic diagnosis for PAI in patients who have no specific diagnostic features.

Type 1 diabetes mellitus,epidemiology,incidence,pediatrics,trends

Objective: With the diagnosis of chronic illness in children, a stressful period is likely to begin for both the affected child and their families. The aim of this study was to investigate the factors affecting chronic disease management by the parents of children diagnosed with type 1 diabetes mellitus (T1DM).Methods: The sample consisted of 110 children, aged between 4-17 years and their mothers. The patients had been diagnosed with T1DM for at least one year, and had attended pediatric endocrinology outpatients or were hospitalized in a single center. First, sociodemographic information about the child with T1DM were obtained. Then, the "Family Management Measure" (FaMM) was applied. The FaMM is constructed to measure family functioning and management in families who have a child with a chronic illness.Results: Paternal years of education (p=0.036), family income (p=0.008), insulin pump use (p=0.011), and time elapsed after diagnosis (p=0.048) positively affected both the management of T1DM and the child's daily life. However, presence of chronic diseases in addition to T1DM (p=0.004) negatively affected diabetes management. Higher maternal education year (p=0.013) and family income level (p=0.001) increased parental mutuality scores. However, as the time after diagnosis increased, parental mutuality scores decreased.Conclusion: It is important to evaluate the child with chronic disease with a biopsychosocial approach. This approach aims to evaluate the problems of the child and his/her family who experience the disease with a holistic approach.

Variants of the melanocortin-4 receptor (MC4R) gene are the most common cause of monogenic obesity. It has been shown that, while obesity cannot be controlled with diet and exercise, glucagon-like-peptide-1 receptor agonists (GLP-1 RA) provide weight loss in the short term. In this paper, our experience with liraglutide treatment in an adolescent patient carrying a MC4R gene variant is presented. A female patient was admitted first at the age of 12.5 years with a complaint of progressive weight gain. She had marked excess of appetite since infancy. On physical examination of the pubertal female patient with a body mass index (BMI) of 36.1 kg/m² (3.48 standard deviation score), there was no pathological finding except diffuse acanthosis nigricans. Laboratory examinations revealed only insulin resistance. Weight loss was not achieved with lifestyle changes, metformin and orlistat treatments. On genetic examination, a sporadic heterozygous c.206T>G(p.I69R) variant that had been reported previously, was found in MC4R gene. Treatment with the GLP-1 RA, liraglutide, was initiated and a 19.2% reduction was achieved in the body weight and BMI at the end of 32 weeks. However, the patient, whose treatment compliance was disrupted due to significant gastrointestinal complaints, returned to her former weight within a few months (13 weeks) after treatment was stopped. In this case with a known pathogenic variant in MC4R gene, decrease of appetite and weight loss were achieved with liraglutide treatment, but side-effects of this treatment led to discontinuation of therapy. In such cases, there is need for effective and tolerable treatment options.

Objective: Idiopathic hypogonadotropic hypogonadism (IHH) is classified into two groups-Kalman syndrome and normosmic IHH (nIHH). Half of all cases can be explained by mutations in >50 genes. Targeted gene panel testing with nexrt generation sequencing (NGS) is required for patients without typical phenotypic findings. The aim was to determine the genetic etiologies of patients with IHH using NGS, including 54 IHH-associated genes, and to present protein homology modeling and protein stability analyzes of the detected variations.Methods: Clinical and demographic data of 16 patients (eight female), aged between 11.6-17.8 years, from different families were assessed. All patients were followed up for a diagnosis of nIHH, had normal cranial imaging, were without anterior pituitary hormone deficiency other than gonadotropins, had no sex chromosome anomaly, had no additional disease, and underwent genetic analysis with NGS between the years 2008-2021. Rare variants were classified according to the variant interpretation framework of the American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology. Changes in protein structure caused by variations were modeled using RoseTTAFold and changes in protein stability resulting from variation were analyzed.Results: Half of the 16 had no detectable variation. Three (18.75%) had a homozygous (pathogenic) variant in the GNRHR gene, one (6.25%) had a compound heterozygous [likely pathogenic-variants of uncertain significance (VUS)] variant in PROK2 and four (25%) each had a heterozygous (VUS) variant in HESX1, FGF8, FLRT3 and DMXL2. Protein models showed that variants interpreted as VUS according to ACMG could account for the clinical IHH.Conclusion: The frequency of variation detection was similar to the literature. Modelling showed that the variant in five different genes, interpreted as VUS according to ACMG, could explain the clinical IHH.