Results 221 to 230 of about 767,545 (352)

Core Fucosylation Represses SMURF1‐Dependent Degradation of CD47 to Promote Tumor Immune Evasion

open access: yesAdvanced Science, EarlyView.
FUT8‐mediated core fucosylation of CD47 at N111 blocks SMURF1 binding and reduces CD47 ubiquitination and degradation. Blocking N111 glycosylation reduces CD47 expression and promotes macrophage phagocytosis of tumor cells. Furthermore, ablating CD47 core fucosylation boosts CD103+ dendritic cells (DCs) infiltration, increases natural killer (NK) cell ...
Yuting Cao   +8 more
wiley   +1 more source

OCTN2 Activates a Non‐Canonical Carnitine Metabolic Pathway to Promote MASH‐HCC Progression and Immunotherapy Resistance

open access: yesAdvanced Science, EarlyView.
In non‐MASH‐HCC, L‐carnitine promotes tumor progression primarily through its classical role in enhancing fatty acid oxidation (FAO). However, in MASH‐HCC, where FAO is markedly suppressed, L‐carnitine shifts from this canonical function to serve instead as an intracellular acetyl group buffer.
Chuqi Xia   +11 more
wiley   +1 more source

Association of Anthropometric Parameters with Elevated Fasting Blood Sugar among Filipino Adults Aged 18-65 years in Highly Urbanized Cities in the Philippines. [PDF]

open access: yesActa Med Philipp
Rama-Sabandal RLCM   +7 more
europepmc   +1 more source

Gabpα‐Pparγ Complex Determines Glycolytic Capacity and Lactic Acid Homeostasis in Brown Fat

open access: yesAdvanced Science, EarlyView.
This study identifies the Gabpα–Pparγ complex as a key transcriptional regulator that couples glycolysis to lactate‐driven thermogenesis in brown adipose tissue by directly activating Eno1 transcription. ‌Competitive disruption of this interaction impairs lactate metabolism and thermogenic capacity.
Zhihan Wang   +22 more
wiley   +1 more source

Supervised Machine Learning-Based Models for Predicting Raised Blood Sugar. [PDF]

open access: yesInt J Environ Res Public Health
Owess MM, Owda AY, Owda M, Massad S.
europepmc   +1 more source

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

open access: yesAdvanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong   +6 more
wiley   +1 more source

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