Results 211 to 220 of about 49,741 (289)
ABSTRACT Human liver models grown in the lab are used for testing drug metabolism and toxicity, studying liver diseases, and developing new therapies. Induced pluripotent stem cell (iPSC)‐derived hepatocyte‐like cells (HLCs) provide a renewable alternative to scarce primary human hepatocytes (PHHs), but they remain functionally immature compared to ...
Yang Yuan +4 more
wiley +1 more source
A Signal-On Microelectrode Electrochemical Aptamer Sensor Based on AuNPs-MXene for Alpha-Fetoprotein Determination. [PDF]
Su X, Chen J, Wu S, Qiu Y, Pan Y.
europepmc +1 more source
A prognosis model (PI score), which consisted of neutrophil‐lymphocyte ratio (NLR), γ‐glutamyl transpeptidase (GGT), alpha‐fetoprotein (AFP), and TNM stage, was constructed. The PI score had excellent predictive value for HCC patients undergoing TACE and was superior to TNM and BCLC.
Cailing Ye +7 more
wiley +1 more source
The Expression of Alpha-Fetoprotein in Human Blastocoel Fluid-Conditioned Media In Vitro: A Proof of Concept Study. [PDF]
Kavoussi SK +8 more
europepmc +1 more source
Blood Biomarker-Based Predictive Indicator for Liver Metastasis in Alpha-Fetoprotein-Producing Gastric Cancer and Multi-Omics Tumor Microenvironment Insights. [PDF]
Ding Y +26 more
europepmc +1 more source
Monocarboxylate Transporter‐1 Is Dispensable for Hepatocellular Carcinoma Development
ABSTRACT Hepatocellular carcinoma (HCC) is the most prevalent type of liver cancer and the deadliest liver disease. It is imperative to understand the underlying molecular mechanisms involved in the development of HCC. Monocarboxylate transporter‐1 (MCT1) is a proton‐coupled protein that facilitates the bidirectional transport of monocarboxylates, such
Shaimaa A. Gad +4 more
wiley +1 more source
A Route to the Colorimetric Detection of Alpha-Fetoprotein Based on a Smartphone. [PDF]
Liu J, Geng Q, Geng Z.
europepmc +1 more source
alpha-Fetoprotein gene expression. Partial DNA sequence and COOH-terminal homology to albumin.
Michael A. Innis, David L. Miller
openalex +1 more source
Salivary metabolomics offers a noninvasive and effective approach for early disease detection and monitoring. Salivary metabolites reflect systemic metabolism, inflammation, and external factors such as diet and stress. Advance in bioinformatics and machine learning facilitates the identification of metabolic biomarkers with high diagnostic accuracy ...
Xinyuan Zhao +8 more
wiley +1 more source

