Background: Although inflow occlusion techniques have given surgeons the ability to carry out increasingly complex liver resections, ischemia-reperfusion (IR) injury continues to be a source of morbidity. Efforts to ameliorate IR injury have been hindered in absence of adequate preclinical models. The goal of the present study was to develop a simple, efficient, and cost-effective means of studying hepatic IR injury.

Methods: Liver cubes were procured from normal (C57BL/6) mice. After hepatectomy, 4-mm punch biopsies were taken for individual placement in culture wells containing hepatocyte media. Experimental cubes underwent hypoxia for 60 minutes, whereas controls remained normoxic. Supernatants were collected from individual wells after 0, 6, and 12 hours of rediffusion for transaminase and cytokine measurement. Histologic examination was performed on individual cubes.

Results: Extensive histologic injury was seen in the experimental cubes compared with controls with greater staining for activated caspase-3 and terminal deoxynucleotidyl transferase dUTP nick end labeling at 6 and 24 hours, respectively. Changes consistent with ischemic injury occurred more centrally in liver cubes, whereas markers for rediffusion injury were appreciated along the periphery. Transaminases were significantly higher at 6 hours after rediffusion in experimental cubes compared with controls (P = .02). tumor necrosis factor-α and interleukin-1β were significantly higher in the media of experimental cubes compared with controls at 12 hours rediffusion (P = .05 and .03 respectively).

Conclusion: In vitro IR of cubes produces a significant injury with a pattern reflective of hepatic lobular architecture. This novel technique may open new avenues for uncoupling the mechanisms of IR while facilitating rapid screening of potential therapies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258692PMC
http://dx.doi.org/10.1016/j.surg.2012.02.012DOI Listing

Publication Analysis

Top Keywords

experimental cubes
16
liver cubes
12
hours rediffusion
12
cubes compared
12
compared controls
12
studying hepatic
8
ischemia-reperfusion injury
8
cubes
8
media experimental
8
injury
7

Similar Publications

Facet engineering of CuO for efficient electrochemical glucose sensing.

Anal Chim Acta

January 2025

Hubei Provincial Key Laboratory of Green Materials for Light Industry, School of Materials and Chemical Engineering, Hubei University of Technology, Wuhan, 430068, PR China. Electronic address:

Background: Accurate monitoring glucose level is significant for human health management, especially in the prevention, diagnosis, and management of diabetes. Electrochemical quantification of glucose is a convenient and rapid detection method, and the crucial aspect in achieving great sensing performance lies in the selection and design of the electrode material. Among them, CuO, with highly catalysis ability, is commonly used as electrocatalyst in non-enzymatic glucose sensing.

View Article and Find Full Text PDF

Control of precision grip in children with heavy prenatal alcohol exposure.

Alcohol Clin Exp Res (Hoboken)

December 2024

Department of Psychology, Center for Behavioral Teratology, San Diego State University, San Diego, California, USA.

Background: Fine motor skill deficits have been reported for children with histories of prenatal alcohol exposure, but little is known whether impaired motor skill extends to the regulation of precision grip control.

Methods: Children with (n = 15) and without (n = 17) histories of heavy prenatal alcohol exposure used their dominant hand to grasp, lift, and hold in space a small-instrumented object with a mass of 19 g. Object mass was also experimentally increased by separately adding two aluminum cubes with mass of 200 and 400 g.

View Article and Find Full Text PDF

Density functional theory (DFT) predicts superior lithium-ion diffusion the (101) plane of NaNbO. Experimental results confirm that despite a reduction in surface area, 6 μm NaNbO cubes with more (101) plane exposure exhibit enhanced Li storage, underscoring the significance of crystal facet engineering.

View Article and Find Full Text PDF

Adaptive pixel attention network for hyperspectral image classification.

Sci Rep

November 2024

Shandong Provincial Engineering and Technical Center of Light Manipulation, Shandong Provincial Key Laboratory of Optics and Photonic Devices, School of Physics and Electronics, Shandong Normal University, Jinan, 250014, China.

Patch features obtained by fixed convolution kernel have become the main form in hyperspectral image (HSI) classification processing. However, the fixed convolution kernel limits the weight learning of channels, which results in the potential connections between pixels not being captured in patches, and seriously affects the classification performance. To tackle the above issues, we propose a novel Adaptive Pixel Attention Network, which can improve HSI classification by further mining the connections between pixels in patch features.

View Article and Find Full Text PDF

In this work, we present a code that transforms 2D transmission electron microscopy images into 3D geometries for discrete dipole approximation simulations in DDSCAT 7.3.3 based on Python 3.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!