| Literature DB >> 31018558 |
Abdelsalam Kasil1,2,3, Sebastien Giraud4,5, Pierre Couturier6,7,8, Akbar Amiri9,10, Jerome Danion11,12, Gianluca Donatini13,14, Xavier Matillon15,16,17,18, Thierry Hauet19,20,21,22,23, Lionel Badet24,25,26.
Abstract
Marginal kidney graft preservation in machine perfusion (MP) is well-established. However, this method requires improvement in order to mitigate oxidative stress during ischemia-reperfusion, by using oxygenation or an O2 carrier with anti-oxidant capacities (hemoglobin of the marine worm; M101). In our preclinical porcine (pig related) model, kidneys were submitted to 1h-warm ischemia, followed by 23 h hypothermic preservation in Waves® MP before auto-transplantation. Four groups were studied: W (MP without 100%-O2), W-O2 (MP with 100%-O2; also called hyperoxia), W-M101 (MP without 100%-O2 + M101 2 g/L), W-O2 + M101 (MP with 100%-O2 + M101 2 g/L) (n = 6/group).Entities:
Keywords: dynamic/machine perfusion; hemoglobin; ischemia; kidney transplantation; oxygen
Mesh:
Substances:
Year: 2019 PMID: 31018558 PMCID: PMC6514898 DOI: 10.3390/ijms20081992
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Ex vivo perfusion parameters. Area under the curve (AUC) representations of perfusion flow (A) and renal resistance during 23 h of cold preservation in machine perfusion (MP) Waves® (B). Time evolution of renal resistance during 23 h of cold preservation in MP Waves® (C) and at end of preservation time (D). Of note, the initial, "no resistance" phase (first hour, panel C) corresponds to the set-up and temperature equilibration phase of the machine (no kidney graft mounted). Results are expressed as median and interquartile range (IQR); statistical analysis was performed with Kruskal-Wallis Multiple comparison Dunn’s test. n = 5–6/group.
Figure 2Evaluation of early kidney function recovery from day 0 to day 7 post-transplantation. Evolution of plasma creatinine level (A–F) and glomerular filtration rate (GFR) (G–H) in the different experimental groups during the first week of post-transplantation (Day 0 to Day 7). Results are expressed in the kinetic curve (A,G) and AUC (B,H). Results are expressed in median with interquartile range (IQR). Statistical analysis was performed with Kruskal-Wallis Multiple comparison Dunn’s test. n = 6/group.
Figure 3Evaluation of kidney injury biomarkers from day 0 to day 7 post-transplantation. Evolution of serum KIM-1 level (A,B), IL-18 (C,D), plasma AST (E,F) and NGAL (G,H) in the different experimental groups during the first week of post-transplantation (Day 0 to Day 7). Results are expressed in the kinetic curve (A,C,E,G) and area under the curve (B,D,F,H). Results are expressed in median with interquartile range (IQR). Statistical analysis was performed with Kruskal-Wallis Multiple comparison Dunn’s test. n = 5–6/group.
Figure 4Evaluation of kidney function and injury biomarkers at day 14 and 90 post-transplantation. Evolution of plasma creatinine level (A), proteinuria/creatinuria ratio (B) and glomerular filtration rate (GFR) (C) at day 14 of post-transplantation. Evolution of plasma creatinine level (D), fractional excretion of sodium (FeNa) (E), glomerular filtration rate (GFR) (F), proteinuria/creatinuria ratio (G), serum KIM-1 (H) and IL-18 (I) at day 90 post-transplantation. Results are expressed in median with interquartile range (IQR). Statistical analysis was performed with Kruskal-Wallis Multiple comparison Dunn’s test. n = 5–6/group.
Figure 5Evaluation of histological kidney graft tissue at day 90 post-transplantation. Quantification of tissue fibrosis (A; % of Sirius Red staining/field), number of vimentin positive tubules (B) and mast cells infiltration (C; CD117 staining) at day 90 post-transplantation, in histological sections obtained from renal kidney cortices of different groups. Related representative images for each group (D) showing Sirius Red staining, vimentin staining and CD117 positive mast cells staining in cortex kidney graft tissue at day 90 post-transplantation (magnification ×100). Results are expressed in median with interquartile range (IQR). Statistical analysis was performed with Kruskal-Wallis Multiple comparison Dunn’s test. n = 6/group.