Results 221 to 230 of about 95,816 (289)

Neoadjuvant Radiochemotherapy Alters the Immune and Metabolic Microenvironment in Oral Cancer—Analyses of CD68, CD163, TGF-β1, GLUT-1 and HIF-1α Expressions [PDF]

open access: gold
Manuel Weber   +8 more
openalex   +1 more source

Co‐Treatment With rhBMP‐2 and Rapamycin Modulates Osteogenesis–Adipogenesis Balance to Enhance Aged Bone Regeneration

open access: yesAdvanced Science, EarlyView.
This study demonstrates that the imbalance between osteogenic and adipogenic differentiation in senescent BMSCs, leading to excessive adipocyte accumulation, which subsequently impairs bone regeneration in aged mice. To address this pathological dysregulation, a novel energy‐supplying hydrogel system (PBR) has been developed to restore balanced ...
Zirui He   +7 more
wiley   +1 more source

Impact of CD68, CD4, TNF-α, and COX-2 expression on disease-specific survival in Brazilian patients with OSCC. [PDF]

open access: yesBraz Oral Res
Aquino SN   +8 more
europepmc   +1 more source

A Rare Case of CD68-Positive Congenital Granular Cell Epulis

open access: diamond
Tapas Kanti Parida   +4 more
openalex   +1 more source

Pearl‐Like Bioinspired Coating Enables Regulation of Mg Degradation for Osteoporotic Bone Repair

open access: yesAdvanced Science, EarlyView.
In this study, inspired by pearl architecture, we developed a layered Ca–P “brick” and Fn‐mimetic peptide “mortar” coating on Mg alloys. The Ca–P layer moderates corrosion and offers mineral cues, while the peptide enhances adhesion and regulates immune‐vascular responses.
Siming Zhang   +12 more
wiley   +1 more source

1240 Tumor cells expressing CD68 correlates with EMT, reduced CD8+ T cell migration, and elevated immuno-oncology markers in hepatocellular carcinoma [PDF]

open access: hybrid
Steve Arbitman   +10 more
openalex   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Detecting cell-in-cell structures in human tumor samples by E-cadherin/CD68/CD45 triple staining

open access: diamond, 2015
Hongyan Huang   +13 more
openalex   +2 more sources

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