Background And Objective: Many studies have been performed on the ability of bone turnover markers (BTM) for the prediction of bone loss and to assess the correlation of BTM with bone mineral density (BMD). However, the results from these studies have been mixed. The aim of this study was to assess the usefulness of BTM to predict bone loss and to analize the correlation of BTM with BMD in early postmenopausal women.
Subjects And Method: 183 healthy women, aged 50 to 55 years, with natural menopause of 6 to 36 months were randomly selected. We measured bone alkaline phosphatase (BALP), intact osteocalcine (OC) and C-telopeptide (sCTx) in serum, and calcium, deoxipiridinoline (DPD) and N-telopeptide (NTx) in urine. Bone densitometry of the spine (L(2)-L(4)) was performed at the start of the study and two years later. Student t test, ANOVA, chi2 test and ROC curves were used for the statistical analysis.
Results: Bone markers, mainly OC and CTx, correlated with BMD and discriminated osteoporosis, osteopenia and normal bone mass (p < 0.001). According to the ROC curves, OC had a sensitivity of 77.8% and specificity of 80.6% for the diagnosis of osteoporosis and sCTx, 83.3% and 74.5%, respectively. Regarding the relation to bone loss, only sCTx showed difference between the lowest and the highest quartile (p = 0.042), but we did not find an association between high turnover and fast bone losers.
Conclusions: Bone markers, mainly OC and sCTx, are useful for identification of osteoporotic and osteopenic early postmenopausal women. However, regarding the bone loss, only CTx has a weak predictive value.
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http://dx.doi.org/10.1016/s0025-7753(08)72271-1 | DOI Listing |
Sci Rep
December 2024
Department of Orthopaedic Surgery, Keck School of Medicine, Stem Cell Research and Regenerative Medicine, University of Southern California, Los Angeles, CA, USA.
Interleukin-6 (IL-6) is a major pro-inflammatory cytokine that demonstrates a robust correlation with age and body mass index (BMI) as part of the senescence-associated secretory phenotype. IL-6 cytokines also play a crucial role in metabolic homeostasis and regenerative processes primarily via the canonical STAT3 pathway. Thus, selective modulation of IL-6 signaling may offer a unique opportunity for therapeutic interventions.
View Article and Find Full Text PDFBMC Microbiol
December 2024
Departments of Geriatrics, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, P. R. China.
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View Article and Find Full Text PDFBone
December 2024
Neurobehavioral Pharmacology Laboratory, Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi 110062, India. Electronic address:
Medium chained triglycerides (MCT) ketogenic diet is being extensively investigated for its neuroprotective effects against adverse effects associated with aging and neurodegenerative disorders. Aging is a common risk factor for the development of both osteoporosis and neurological disorders. Hence, suppression of aging and age-related neurodegeneration might contribute to delaying skeletal aging.
View Article and Find Full Text PDFInt J Pediatr Otorhinolaryngol
December 2024
Hacettepe University, Faculty of Medicine, Department of Opthalmology, Ankara, Turkey.
Aims And Objectives: This study aimed to investigate the presence, type, and severity of hearing losses in individuals with Duane Retraction Syndrome (DRS), and to ascertain if there are anomalies in the auditory pathways at the brainstem level in DRS, believed to arise from aberrant interaction between cranial nerves and brainstem nuclei.
Study Design: Cross-sectional observational study.
Setting: Tertiary referral centre.
Biometrics
October 2024
RAND Corporation, Pittsburgh, PA 15213, United States.
Health care decisions are increasingly informed by clinical decision support algorithms, but these algorithms may perpetuate or increase racial and ethnic disparities in access to and quality of health care. Further complicating the problem, clinical data often have missing or poor quality racial and ethnic information, which can lead to misleading assessments of algorithmic bias. We present novel statistical methods that allow for the use of probabilities of racial/ethnic group membership in assessments of algorithm performance and quantify the statistical bias that results from error in these imputed group probabilities.
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