Osteolysis induced by chronic Gram-negative bacterial infection underlies many bone diseases such as osteomyelitis, septic arthritis, and periodontitis. Drugs that inhibit lipopolysaccharide (LPS)-induced osteolysis are critically needed for the prevention of bone destruction in infective bone diseases. In this study, we assessed the effect of puerarin, a natural isoflavone isolated from Pueraria lobata OHWI root, on LPS-induced osteoclastogenesis and bone loss. Our in vitro study showed that puerarin significantly inhibited LPS-induced osteoclast differentiation from osteoclast precursor RAW264.7 cells. The inhibition occurred through suppressing the production of osteoclast activating factor tumor necrosis factor (TNF)-α, interleukin (IL)-1β and prostaglandin E (PGE), which led to down-regulating mRNA expression of osteoclastogenic genes including tartrate-resistant acid phosphatase (TRAP), cathepsin K and matrix metalloprotein 9 (MMP-9). Furthermore, LPS triggered activation of Akt in osteoclast precursor RAW264.7 cells, which was inhibited by puerarin treatment. In vivo, puerarin attenuated LPS-induced bone loss in a murine calvarial osteolysis model. Collectively, puerarin prevents LPS-induced osteoclast formation, function and bone loss, where the inhibition of Akt activation plays an important role. These findings provide evidences that puerarin might be beneficial as a promising candidate drug for the prevention and treatment of bacteria-induced bone destruction disease, and give new insights for understanding its possible mechanism.
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http://dx.doi.org/10.1248/bpb.b16-00522 | 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.
Background: Evidence has revealed that oestrogen deprivation-induced osteolysis is microbiota-dependent and can be treated by probiotics. However, the underlying mechanism require further investigation. This study aims to provide additional evidence supporting the use of probiotics as an adjuvant treatment and to explore the pathophysiology of oestrogen-deprived osteolysis.
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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