Results 261 to 270 of about 2,079,758 (368)
ABSTRACT Bone angiogenesis is important for bone formation and regeneration after bone injury. Endothelial‐derived angiogenic factors are key signal transducers in the bone microenvironment and maintain vascular–osteogenic coupling during bone regeneration.
Qiong Lu +9 more
wiley +1 more source
Dose-Dependent Effects of TGF-β Inhibition on Osteoblast Differentiation and Wound Healing. [PDF]
Almuraikhi N +4 more
europepmc +1 more source
Construction of metal–flavonoid functionalized coatings on conventional bone repair materials. A one‐pot method is used to directly construct multifunctional metal–flavonoid coatings on the surface of traditional bone repair materials by selecting metal ions with osteogenic/angiogenic properties and flavonoids with reactive oxygen species scavenging ...
Chen Yang +11 more
wiley +1 more source
Naringin promotes osteoblast differentiation and ameliorates osteoporosis in ovariectomized mice. [PDF]
Cui Y +7 more
europepmc +1 more source
A novel mechanism for the regulation of osteoblast differentiation: Transcription of periostin, a member of the fasciclin I family, is regulated by the bHLH transcription factor, twist [PDF]
Akira Oshima +5 more
openalex +1 more source
Osteoblast Differentiation and Bone Matrix Formation In Vivo and In Vitro
H. Blair +9 more
semanticscholar +1 more source
Staphylococcus aureus (S. aureus) infection creates a high‐lactate microenvironment, promoting p300‐mediated lactylation of PGK1 at lysine 361 (K361). Lactylated PGK1 translocates to the mitochondrial outer membrane and interacts with VDAC3. This interaction triggers FtMt downregulation, iron accumulation, and excessive PINK1/Parkin‐mediated mitophagy,
Han‐jun Qin +5 more
wiley +1 more source
Distinct Functions of Sox2 Control Self-Renewal and Differentiation in the Osteoblast Lineage [PDF]
Eunjeong Seo +4 more
openalex +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source

