Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength,leading to increased fragility.Buqi-Tongluo(BQTL)decoction,a traditional Chinese medicine(TCM)prescription,has yet to be f...Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength,leading to increased fragility.Buqi-Tongluo(BQTL)decoction,a traditional Chinese medicine(TCM)prescription,has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis.To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments.We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages(BMMs)at various concentrations.TRAc P experiments were conducted to examine BQTL's impact on osteoclast differentiation.RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation.Finally,in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings.This study revealed that BQTL suppressed receptor activator of NF-κB ligand(RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity.The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity,primarily through attenuation of the MAPK,NF-κB,and Calcineurin signaling pathways.BQTL's inhibitory capacity was further examined in vivo using an ovariectomized(OVX)rat model,demonstrating a strong protective effect against bone loss.BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.展开更多
Bone resorption by osteoclasts is a critical step in bone remodeling,a process important for maintaining bone homeostasis and repairing injured bone.We previously identified a bone marrow mesenchymal subpopulation,mar...Bone resorption by osteoclasts is a critical step in bone remodeling,a process important for maintaining bone homeostasis and repairing injured bone.We previously identified a bone marrow mesenchymal subpopulation,marrow adipogenic lineage precursors(MALPs),and showed that its production of RANKL stimulates bone resorption in young mice using Adipoq-Cre.To exclude developmental defects and to investigate the role of MALPs-derived RANKL in adult bone,we generated inducible reporter mice(Adipoq-CreER Tomato)and RANKL deficient mice(Adipoq-CreER RANKLflox/flox,iCKO).Single cell-RNA sequencing data analysis and lineage tracing revealed that Adipoq+cells contain not only MALPs but also some mesenchymal progenitors capable of osteogenic differentiation.In situ hybridization showed that RANKL mRNA is only detected in MALPs,but not in osteogenic cells.RANKL deficiency in MALPs induced at 3 months of age rapidly increased trabecular bone mass in long bones as well as vertebrae due to diminished bone resorption but had no effect on the cortical bone.Ovariectomy(OVX)induced trabecular bone loss at both sites.RANKL depletion either before OVX or at 6 weeks post OVX protected and restored trabecular bone mass.Furthermore,bone healing after drill-hole injury was delayed in iCKO mice.Together,our findings demonstrate that MALPs play a dominant role in controlling trabecular bone resorption and that RANKL from MALPs is essential for trabecular bone turnover in adult bone homeostasis,postmenopausal bone loss,and injury repair.展开更多
Domain wall structures form spontaneously due to epitaxial misfit during thin film growth.Imaging the dynamics of domains and domain walls at ultrafast timescales can provide fundamental clues to features that impact ...Domain wall structures form spontaneously due to epitaxial misfit during thin film growth.Imaging the dynamics of domains and domain walls at ultrafast timescales can provide fundamental clues to features that impact electrical transport in electronic devices.Recently,deep learning based methods showed promising phase retrieval(PR)performance,allowing intensity-only measurements to be transformed into snapshot real space images.While the Fourier imaging model involves complex-valued quantities,most existing deep learning based methods solve the PR problem with real-valued based models,where the connection between amplitude and phase is ignored.To this end,we involve complex numbers operation in the neural network to preserve the amplitude and phase connection.Therefore,we employ the complex-valued neural network for solving the PR problem and evaluate it on Bragg coherent diffraction data streams collected from an epitaxial La_(2-x)Sr_(x)CuO_(4)(LSCO)thin film using an X-ray Free Electron Laser(XFEL).Our proposed complex-valued neural network based approach outperforms the traditional real-valued neural network methods in both supervised and unsupervised learning manner.Phase domains are also observed from the LSCO thin film at an ultrafast timescale using the complex-valued neural network.展开更多
基金supported by the Natural Science Foundation of Guangdong Province,China(No.2021A1515012168)the Administration of Traditional Chinese Medicine of Guangdong Province,China(Nos.20221146 and 20241091)+5 种基金the Basic and Applied Basic Research Fund Project in Guangdong Province,China(No.2020A1515110948)the Basic and Applied Basic Research in Jointly Funded Projects of City Schools(Institutes)Projects,China(Nos.202201020500 and 202201020295)the Project of Guangzhou Science and Technology Department,China(No.202102021040)the Guangzhou Science and Technology Plan Project,China(No.2023B03J0379)the Chinese Society of Traditional Chinese Medicine Youth Talent Lifting Project(No.2022-QNRC2-B11)the Hospital Young and Middle-aged Key Talent Cultivation Project of The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine(2023-10)。
文摘Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength,leading to increased fragility.Buqi-Tongluo(BQTL)decoction,a traditional Chinese medicine(TCM)prescription,has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis.To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments.We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages(BMMs)at various concentrations.TRAc P experiments were conducted to examine BQTL's impact on osteoclast differentiation.RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation.Finally,in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings.This study revealed that BQTL suppressed receptor activator of NF-κB ligand(RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity.The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity,primarily through attenuation of the MAPK,NF-κB,and Calcineurin signaling pathways.BQTL's inhibitory capacity was further examined in vivo using an ovariectomized(OVX)rat model,demonstrating a strong protective effect against bone loss.BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
基金supported by NIH grants NIH/NIA R01AG069401(to L.Q.)NIH/NHLBI U54HL165442(to K.T.)P30AR069619(to Penn Center for Musculoskeletal Disorders).
文摘Bone resorption by osteoclasts is a critical step in bone remodeling,a process important for maintaining bone homeostasis and repairing injured bone.We previously identified a bone marrow mesenchymal subpopulation,marrow adipogenic lineage precursors(MALPs),and showed that its production of RANKL stimulates bone resorption in young mice using Adipoq-Cre.To exclude developmental defects and to investigate the role of MALPs-derived RANKL in adult bone,we generated inducible reporter mice(Adipoq-CreER Tomato)and RANKL deficient mice(Adipoq-CreER RANKLflox/flox,iCKO).Single cell-RNA sequencing data analysis and lineage tracing revealed that Adipoq+cells contain not only MALPs but also some mesenchymal progenitors capable of osteogenic differentiation.In situ hybridization showed that RANKL mRNA is only detected in MALPs,but not in osteogenic cells.RANKL deficiency in MALPs induced at 3 months of age rapidly increased trabecular bone mass in long bones as well as vertebrae due to diminished bone resorption but had no effect on the cortical bone.Ovariectomy(OVX)induced trabecular bone loss at both sites.RANKL depletion either before OVX or at 6 weeks post OVX protected and restored trabecular bone mass.Furthermore,bone healing after drill-hole injury was delayed in iCKO mice.Together,our findings demonstrate that MALPs play a dominant role in controlling trabecular bone resorption and that RANKL from MALPs is essential for trabecular bone turnover in adult bone homeostasis,postmenopausal bone loss,and injury repair.
基金supported by the U.S.Department of Energy,Office of Science,Office of Basic Energy Sciences,under Contract No.DE-SC0012704supported by EPSRC.Work at Argonne National Laboratory was supported by the U.S.Department of Energy,Office of Science,Office of Basic Energy Sciences,Materials Science and Engineering Division+2 种基金X.H.was supported by the Gordon and Betty Moore Foundation’s EPiQS Initiative through Grant No.GBMF9074S.D.M.and P.G.E.gratefully acknowledge support from the U.S.DOE Office of Science under grant no.DE-FG02-04ER46147from the US NSF through the University of Wisconsin Materials Research Science and Engineering Center(DMR-2309000 and DMR-1720415).
文摘Domain wall structures form spontaneously due to epitaxial misfit during thin film growth.Imaging the dynamics of domains and domain walls at ultrafast timescales can provide fundamental clues to features that impact electrical transport in electronic devices.Recently,deep learning based methods showed promising phase retrieval(PR)performance,allowing intensity-only measurements to be transformed into snapshot real space images.While the Fourier imaging model involves complex-valued quantities,most existing deep learning based methods solve the PR problem with real-valued based models,where the connection between amplitude and phase is ignored.To this end,we involve complex numbers operation in the neural network to preserve the amplitude and phase connection.Therefore,we employ the complex-valued neural network for solving the PR problem and evaluate it on Bragg coherent diffraction data streams collected from an epitaxial La_(2-x)Sr_(x)CuO_(4)(LSCO)thin film using an X-ray Free Electron Laser(XFEL).Our proposed complex-valued neural network based approach outperforms the traditional real-valued neural network methods in both supervised and unsupervised learning manner.Phase domains are also observed from the LSCO thin film at an ultrafast timescale using the complex-valued neural network.
