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Growth Differentiation Factor 15 in Patients with Acromegaly: A Case-Control Study.
- Source :
-
Endocrinology Research & Practice . Jul2024, Vol. 28 Issue 3, p138-142. 5p. - Publication Year :
- 2024
-
Abstract
- Objective: It was previously shown that the levels of several biomarkers increase due to acromegaly disease-related inflammation, and some markers are parallel to the disease's activity. The current study compared the possible relationship of growth differentiation factor-15 (GDF-15) with acromegaly disease activity in healthy subjects. Methods: This case-control study was conducted in a single center. It included 40 acromegaly patients (25 active/15 controlled) (47.7 ± 9.4 years, 20 female/20 male) and 24 healthy individuals (49.9 ± 10.1 years, 13 female/11 male) with age-sex-body mass index similar to the patient group. Demographic data, metabolic and hormonal parameters, and GDF-15 levels of the study population were studied. Results: The median GDF-15 levels were significantly higher in patients with acromegaly compared to healthy subjects (HS) (280.4 (Q1-Q3: 197.0-553.2) vs. 213.3 (Q1-Q3: 179.9-297.2) ng/L, P = .01). Serum GDF-15 levels of active and controlled acromegaly patients were comparable (P = .39). Interestingly, compared to HS, GDF-15 levels were significantly higher in controlled disease (P = .013), whereas GDF-15 levels tended to be higher in active disease but did not reach statistical significance (P = .06). Growth differentiation factor-15 levels were positively correlated with fasting plasma glucose (r = 0.304, P = .01) and HbA1c (r = 0.292, P = .02). When evaluated across the entire cohort, GDF-15 levels were found to be higher in diabetic patients compared to non-diabetic individuals (P = .04). Conclusion: Plasma GDF-15 levels were increased in the patients with acromegaly compared to healthy subjects. This increment may be due to accompanying diseases such as diabetes rather than a disease-specific effect. [ABSTRACT FROM AUTHOR]
- Subjects :
- *GROWTH differentiation factors
*RISK assessment
*CROSS-sectional method
*HIGH performance liquid chromatography
*PEARSON correlation (Statistics)
*HYPERLIPIDEMIA
*GLYCOSYLATED hemoglobin
*T-test (Statistics)
*DATA analysis
*ACROMEGALY
*HYPERTENSION
*SCIENTIFIC observation
*LIPIDS
*ENZYME-linked immunosorbent assay
*KRUSKAL-Wallis Test
*FISHER exact test
*CARDIOVASCULAR diseases risk factors
*DESCRIPTIVE statistics
*CHEMILUMINESCENCE assay
*MANN Whitney U Test
*CHI-squared test
*SYMPTOMS
*BLOOD sugar
*CASE-control method
*URBAN hospitals
*BLOOD plasma
*ONE-way analysis of variance
*STATISTICS
*DIASTOLIC blood pressure
*INFLAMMATION
*SOMATOMEDIN
*ANALYTICAL chemistry techniques
*DATA analysis software
*SYSTOLIC blood pressure
*BIOMARKERS
*DIABETES
*REGRESSION analysis
*BLOOD
Subjects
Details
- Language :
- English
- ISSN :
- 28226135
- Volume :
- 28
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Endocrinology Research & Practice
- Publication Type :
- Academic Journal
- Accession number :
- 178489084
- Full Text :
- https://doi.org/10.5152/erp.2024.24424