Associations between bone mass, hormone levels, and body composition in postmenopausal women

Fighera, Tayane Muniz; Santos, Betânia Rodrigues dos; Motta, Letícia; Casanova, Gislaine Krolow; Spritzer, Poli Mara

doi:10.1097/gme.0000000000002126

Cited by 5 publications

(11 citation statements)

References 45 publications

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“…Estrogen is closely linked to female bone development and bone mass maintenance 20 . When a woman enters menopause, the level of estrogen in her body decreases, causing bone mass loss and changes in bone tissue structure, making bone brittle and prone to fracture, as well as pain, bone deformation, and fracture complications, all of which hurt on her health and quality of life 21 , 22 .…”

Section: Discussionmentioning

confidence: 99%

To investigate the mechanism of Yiwei Decoction in the treatment of premature ovarian insufficiency-related osteoporosis using transcriptomics, network pharmacology and molecular docking techniques

Fan,

Meng,

Zhang

et al. 2023

Sci Rep

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To investigate the molecular mechanism of Yiwei Decoction (YWD) in preventing Premature ovarian insufficiency (POI)-related osteoporosis from the hypothalamic perspective , and to screen for the key active and acting molecules in YWD. Cyclophosphamide was used to create the POI rat model. Groups A, B, and C were established. The Model + YWD group was group A, the model control group was group B, and the normal control group was group C. ELISA was used to determine serum GnRH and FSH levels after gavage. The transcription levels of mRNAs in each group's hypothalamus tissues were examined using RNA-seq sequencing technology. The GSEA method was used to enrich pathways based on the gene expression levels of each group. The TCM–active ingredient–target–disease network map was created using differentially expressed mRNAs (DEmRNAs) and network pharmacology. The molecular docking method was employed to investigate the affinity of the active ingredient with key targets. GnRH and FSH levels in POI rats' serum were reduced by YWD. Between groups A and B, there were 638 DEmRNAs (P < 0.05) and 55 high-significance DEmRNAs (P-adjust < 0.01). The MAPK, Hedgehog, Calcium, and B cell receptor pathways are primarily enriched in DEmRNAs from Group A and Group B. The GSEA pathway enrichment analysis indicates that YWD may regulate Long-term potentiation, Amphetamine addiction, and the Renin-angiotensin system and play a role in preventing osteoporosis. The Chinese herbal medicine (CHM)—Active ingredient-Target-disease network map includes 137 targets, 4 CHMs, and 22 active ingredients. The result of docking indicated that Stigmasterol, interacts well with the core proteins ALB, VCL and KAT5. Following the screening, we identified the targets, active components, and key pathways associated with YWD osteoporosis prevention. Most of these key targets and pathways are associated with osteoporosis, but further experimental validation is required.

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Section: Discussionmentioning

confidence: 99%

To investigate the mechanism of Yiwei Decoction in the treatment of premature ovarian insufficiency-related osteoporosis using transcriptomics, network pharmacology and molecular docking techniques

Fan,

Meng,

Zhang

et al. 2023

Sci Rep

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“…It is considered the gold standard for BMD measurement due to its precision and accuracy. This is the gold standard, indicating skeletal metabolic status and being used to analyze change in bone mass over time [ 4 , 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…This parameter is associated with different factors such as age, weight, diet, exposure to sunlight, early menopause, smoking, alcohol, genetic factors, gender and exercise [ 6 ]. Among these factors, heredity, gender, and age are immutable, while weight, diet, exercise, exposure to sunlight and lifestyle are modifiable.…”

Section: Introductionmentioning

confidence: 99%

“…Similarity or dissimilarity among elements is measured using distance metrics. Generally, clustering is effective when both the variability among the same cluster elements (intra-cluster variability) is as low as possible, and the variability among different clusters (inter-cluster variability) is as high as possible [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…In summary, it can be said that hierarchical clustering allocates elements into a dendrogram whose branches are the clusters, and cutting the tree at a certain height means choosing the iteration connected to a certain number of clusters [ 21 ]. Given the strong correlation between body composition, obesity, osteoporosis, and vitamin D, supported by many scientific research [ 5 , 6 , 7 , 8 , 17 ], the aim of this study is to find the tendency of osteoporosis in obese subjects, presenting a method based on agglomerative hierarchical clustering which, using BIA parameters, can group patients who show homogeneous characteristics in order to individuate potential biomarkers of disease, using BIA as a prognostic and diagnostic instrument.…”

Section: Introductionmentioning

confidence: 99%

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The Role of BIA Analysis in Osteoporosis Risk Development: Hierarchical Clustering Approach

et al. 2023

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Osteoporosis is a common musculoskeletal disorder among the elderly and a chronic condition which, like many other chronic conditions, requires long-term clinical management. It is caused by many factors, including lifestyle and obesity. Bioelectrical impedance analysis (BIA) is a method to estimate body composition based on a weak electric current flow through the body. The measured voltage is used to calculate body bioelectrical impedance, divided into resistance and reactance, which can be used to estimate body parameters such as total body water (TBW), fat-free mass (FFM), fat mass (FM), and muscle mass (MM). This study aims to find the tendency of osteoporosis in obese subjects, presenting a method based on hierarchical clustering, which, using BIA parameters, can group patients who show homogeneous characteristics. Grouping similar patients into clusters can be helpful in the field of medicine to identify disorders, pathologies, or more generally, characteristics of significant importance. Another added value of the clustering process is the possibility to define cluster prototypes, i.e., imaginary patients who represent models of “states”, which can be used together with clustering results to identify subjects with similar characteristics in a classification context. The results show that hierarchical clustering is a method that can be used to provide the detection of states and, consequently, supply a more personalized medicine approach. In addition, this method allowed us to elect BIA as a potential prognostic and diagnostic instrument in osteoporosis risk development.

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Associations between body composition and the risk of fracture according to bone mineral density in postmenopausal women: a population-based database cohort study

Lee,

Jung,

Kim

et al. 2023

European Journal of Endocrinology

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Objective We aimed to investigate the associations of body composition and the risk of fracture in postmenopausal women, stratified based on bone mineral density. Methods A population-based cohort study using the database of the National Screening Program for Transitional Ages with women aged 66 years was performed. Bone mineral density was categorized as normal, osteopenia, and osteoporosis. The following body mass index (BMI) categories for general obesity were used: underweight (<18.5), normal (18.5-22.9), overweight (23-24.9), obese (25-29.9), and severely obese (≥30 kg/m2). Waist circumference (WC) used for central obesity assessment was categorized into 5 groups. Newly diagnosed fracture during the follow-up period defined based on ICD-10 codes was the primary outcome. Results During 7.7 ± 1.4 years of follow-up, 41 672 (17.9%) participants experienced any fracture, 20 326 (8.7%) experienced vertebral fractures (VFs), and 2883 (1.2%) experienced hip fractures (HFs). The adjusted hazard ratios (aHRs) for any fracture showed a progressive increase with higher BMI and WC categories in individual with osteopenia and osteoporosis. Regarding VF, aHR was highest in severely obese individuals with osteoporosis (aHR [95% CI], 3.45 [2.99-3.97]) and in individuals with WC ≥ 95 cm with osteoporosis (4.79 [4.09-5.60]). The aHR [95% CI] for HF was highest in the underweight group with osteopenia (1.94 [1.16-3.27]) and osteoporosis (2.96 [2.15-4.10]). In central obesity individuals with WC ≥ 95 cm, aHR [95% CI] for HF was 2.80 [1.91-4.91]. Conclusions General obesity and central obesity are not protective against any fracture, VF and HF in postmenopausal women with osteopenia or osteoporosis.

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Associations between bone mass, hormone levels, and body composition in postmenopausal women

Cited by 5 publications

References 45 publications

To investigate the mechanism of Yiwei Decoction in the treatment of premature ovarian insufficiency-related osteoporosis using transcriptomics, network pharmacology and molecular docking techniques

To investigate the mechanism of Yiwei Decoction in the treatment of premature ovarian insufficiency-related osteoporosis using transcriptomics, network pharmacology and molecular docking techniques

The Role of BIA Analysis in Osteoporosis Risk Development: Hierarchical Clustering Approach

Associations between body composition and the risk of fracture according to bone mineral density in postmenopausal women: a population-based database cohort study

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