Results 151 to 160 of about 130,841 (291)

Nutritional c‐Fos Induction Rewires Hepatic Metabolism and Can Promote Obesity‐Associated Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
It is shown that hepatic c‐Fos responds to feeding, altering de novo lipogenesis, glycolysis, and a wide range of steatosis‐associated metabolic signaling pathways. Obesogenic diets cause hepatic c‐Fos overexpression, insulin resistance, and the induction of metabolic reprogramming‐related genes.
Ao Li   +8 more
wiley   +1 more source

Association of non-steroidal anti-inflammatory medications and aspirin with colorectal cancer incidence in older adults. [PDF]

open access: yesJ Natl Cancer Inst
Zaman FY   +19 more
europepmc   +1 more source

Pharmacological studies of a non-steroidal analgesic and antipyretic drug of LFP83.

open access: bronze, 1989
Kiyoshi Kuriyama   +12 more
openalex   +2 more sources

Enantioselective Alkoxycarbonyl‐Lactonization of Alkenes via the Merger of Photoredox and Copper Catalysis

open access: yesAdvanced Science, EarlyView.
A highly enantioselective alkoxycarbonyl‐lactonization of alkenes is reported through a photoredox/copper dual‐catalyzed alkoxycarbonyl radical addition/cyclization reaction. Abstract The synthesis of ester derivatives represents one of the most significant and fundamental tasks in modern organic chemistry, and numerous methods have been developed in ...
Yuping Xiong   +5 more
wiley   +1 more source

Awareness of the use of non-steroidal anti-inflammatory drugs: A cross-sectional study. [PDF]

open access: yesMed Int (Lond)
Chkhikvadze L   +4 more
europepmc   +1 more source

Integrated Metabolic and Inflammatory Clustering Reveals Distinct Risk Profiles for Digestive Diseases

open access: yesAdvanced Science, EarlyView.
This study analyzes 398 432 participants, identifying four distinct metabolic‐inflammatory subtypes. These subtypes show a significant association with digestive disease risk. Cluster‐associated metabolite signatures partially explain this link. Machine learning models using these metabolites accurately predict risk for ten digestive diseases. Key risk
Zhenhe Jin   +10 more
wiley   +1 more source

A Multicenter Validation of a Fully Automated Chemiluminescence Immunoassay for Plasma Elafin in Psoriasis Diagnosis and Severity Assessment

open access: yesAdvanced Science, EarlyView.
The fully automated CLIA demonstrates high sensitivity and specificity for plasma Elafin, achieving 88% diagnostic accuracy and an AUC of 0.92 for psoriasis detection in a multicenter cohort. The assay reliably distinguishes psoriasis from other dermatoses, objectively stratifies disease severity, and allows longitudinal monitoring, supporting its ...
Jingkun Yi   +8 more
wiley   +1 more source

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