| Literature DB >> 29796416 |
Irene Beijert1,2, Safak Mert1, Viola Huang1, Negin Karimian1, Sharon Geerts1, Ehab O A Hafiz1,3, James F Markmann4, Heidi Yeh4, Robert J Porte2, Korkut Uygun1.
Abstract
BACKGROUND: Steatosis is a major risk factor for primary nonfunction in liver transplantations. Steatotic livers recover poorly from ischemia reperfusion injury, in part due to alterations in the microcirculation, although the exact mechanism is unclear. In this study, we tested if there were any alterations in the shear stress sensing Kruppel-like factor 2 (KLF2) and its likely downstream consequences in the ex vivo perfused human liver endothelium, which would imply perturbations in microcirculatory flow in macrosteatotic livers disrupts laminar flow to evaluate if this is a potential therapeutic target for steatotic livers.Entities:
Year: 2018 PMID: 29796416 PMCID: PMC5959347 DOI: 10.1097/TXD.0000000000000779
Source DB: PubMed Journal: Transplant Direct ISSN: 2373-8731
Donor and graft characteristics
FIGURE 1Schematic representation of perfusion system. The perfusion system incorporated 2 independent circulations: an arterial and a portal, each with their own pump, oxygenator using carbogen gas (95% O2, 5% CO2), bubble trap, pressure, and flow meter.
Macrosteatosis scores of each liver
FIGURE 2Representative images of lean (A) and macrosteatotic (B) livers at 20× objective magnification. Liver tissue samples were collected at the beginning and the end of perfusion for hemotoxylin and eosin staining scoring for macrosteatosis. Representative images are obtained from 1 lean (panel A) and 1 macrosteatotic (panel B) liver showing postperfusion state. Large fat droplets are prevailing in panel B (black arrow), whereas sinusoids can be barely visible (white arrow). No significant fibrosis has been detected in any of the samples.
Primer sequences for qPCR analyses of targeted genes
FIGURE 3Resistance in the PV (A) and the HA (B) calculated as quotient of pressure and flow. Hepatic artery and PV resistance decreased gradually throughout perfusion in both nonsteatotic and steatotic livers. However, no statistically significant differences were observed between the 2 groups (data are presented as median ± IQR).
FIGURE 4Gene expression analyses. SNMP induces upregulation of KLF2 in both steatotic and nonsteatotic livers although significantly more in the nonsteatotic livers (A). eNOS is not significantly more expressed at the end of SNMP in both steatotic and nonsteatotic livers (B). Thrombomodulin is not significantly more expressed at the end of SNMP in both steatotic and nonsteatotic livers (C). Fold change is calculated from T=0 for each liver (data are presented as median ± IQR).
FIGURE 5NO measurements. Absolute NO concentration increased in the nonsteatotic livers throughout SNMP but did not change in steatotic livers (A). Relative NO production calculated as fold change from T = 0 for each liver (B). Relative NO production fold change increased in the nonsteatotic livers but did not change in steatotic livers (data are presented as median ± IQR).
Correlations between NO production and donor graph characteristics (data are presented with the Spearman rank correlation coefficient)
FIGURE 6Normalized levels of eNOS phosphorylation. Levels of eNOS phosphorylation are significantly higher in non-steatotic livers compared with steatotic livers (data are presented as median ± IQR).