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Purpose: To evaluate the correlation and relationship between iron parameters including serum iron level, iron-binding capacity, ferritin, transferrin saturation, and the severity of OSAS in the patients who underwent polysomnography.
Methods: We retrospectively reviewed 209 patients and divided the patients into two groups; AHI ≥ 30 and AHI < 30. The groups were compared using the Mann-Whitney U and the chi-square test. In addition, Spearman's correlation analysis was performed to analyze the correlation between AHI and iron parameters.
Results: The mean age of the patients was 47.9 ± 13.7 (19-89) years. Of the 209 patients, 40.7% (n = 85) were female and 59.3% (n = 124) were male. Iron and transferrin saturation was significantly lower in the patients with AHI ≥ 30 compared to the patients with AHI < 30. In female patients, there wasn't any correlation between AHI and iron, ferritin, transferrin saturation, and iron-binding capacity. But, there was a significant negative correlation between the AHI and iron (r = -0.292, p = 0.001) and transferrin saturation (r = -0.349, p < 0.001) in male patients. Also, the AHI was significantly positively correlated with iron binding capacity (r = 0.307, p = 0.001) in male patients.
Conclusion: Our results showed that iron levels were lower in severe OSAS. Suggesting that iron levels decrease as a result of oxidative stress and inflammation seen in OSAS, iron parameters may be a good biomarker in OSAS patients.
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http://dx.doi.org/10.1007/s11325-025-03301-7 | DOI Listing |
Medicine (Baltimore)
September 2025
Department of Histology and Embryology, Faculty of Medicine, Dicle University, Diyarbakir, Turkey.
Excessive gestational weight gain (GWG) is associated with various adverse pregnancy outcomes, including disruption of placental function and fetal development. Iron transport through the placenta is crucial for fetal growth, and transferrin receptor 2 (TfR2) plays a key role in iron homeostasis. However, the effect of excessive GWG on placental TfR2 expression and neonatal iron parameters remains unclear.
View Article and Find Full Text PDFCancer Epidemiol Biomarkers Prev
September 2025
Kangbuk Samsung Hospital, Seoul, Korea (South), Republic of.
Background: Iron metabolism may influence breast cancer development; however, links between iron-related biomarkers and breast cancer remain inconclusive. Given differences in iron status by menopausal status, we examined associations of ferritin and other iron biomarkers, with breast cancer incidence, stratified by menopausal status, in a Korean screening cohort.
Methods: This cohort study included 140,747 Korean women screened for breast cancer from 2011-2020.
Arch Anim Nutr
September 2025
Department Safety in the Food Chain, German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Copper (Cu) supplementation is essential in pig nutrition; however, its effects on performance, trace element accumulation in edible tissues, and environmental excretion require careful evaluation. In the present study a total of 24 male, castrated fattening pigs of two different hybrid mast lines (11 weeks of age) were divided according to their initial body weight (25.8 ± 3.
View Article and Find Full Text PDFDose Response
September 2025
Department of Interventional Radiology, The Second People's Hospital of Nantong, Nantong, Jiangsu Province, China.
Objectives: This study investigated the cardioprotective effects of stachydrine (STA) in lipopolysaccharide (LPS)-induced septic mice and H9c2 cardiomyocytes, focusing on its anti-apoptotic, anti-inflammatory, and anti-ferroptotic actions.
Methods: We established an LPS-induced sepsis model in mice and an LPS-stimulated H9c2 cardiomyocyte model in vitro.
Results: STA markedly reduced LPS-induced myocardial apoptosis, as demonstrated by decreased TUNEL-positive cells, and attenuated the elevation of serum cardiac injury markers, including creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), brain natriuretic peptide (BNP), cardiac troponin I (cTnI), and cardiac troponin T (cTnT) levels.
Blood Rev
August 2025
Department of Medicine, Stellenbosch University, Faculty of Medicine and Health Sciences, Tygerberg Campus, South Africa. Electronic address:
Clinicians need a good understanding of available tools to diagnose iron deficiency (ID). Interpretation of commonly used laboratory tests can be challenging due to the dynamic nature of iron homeostasis and concurrent inflammation, which influence results. The misinterpretation of iron studies, inconsistencies in ID diagnostic guidelines, and low awareness of non-anaemic ID may lead to missed diagnoses and opportunities for treatment.
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