Two-pore-domain potassium (K(+)) channels are substrates for resting K(+) currents in neurons. They are major targets for endogenous modulators, as well as for clinically important compounds such as volatile anesthetics. In the current study, we report on the CNS distribution in the rat and mouse of mRNA encoding seven two-pore-domain K(+) channel family members: TASK-1 (KCNK3), TASK-2 (KCNK5), TASK-3 (KCNK9), TREK-1 (KCNK2), TREK-2 (KCNK10), TRAAK (KCNK4), and TWIK-1 (KCNK1). All of these genes were expressed in dorsal root ganglia, and for all of the genes except TASK-2, there was a differential distribution in the CNS. For TASK-1, highest mRNA accumulation was seen in the cerebellum and somatic motoneurons. TASK-3 was much more widely distributed, with robust expression in all brain regions, with particularly high expression in somatic motoneurons, cerebellar granule neurons, the locus ceruleus, and raphe nuclei and in various nuclei of the hypothalamus. TREK-1 was highest in the striatum and in parts of the cortex (layer IV) and hippocampus (CA2 pyramidal neurons). mRNA for TRAAK also was highest in the cortex, whereas expression of TREK-2 was primarily restricted to the cerebellar granule cell layer. There was widespread distribution of TWIK-1, with highest levels in the cerebellar granule cell layer, thalamic reticular nucleus, and piriform cortex. The differential expression of each of these genes likely contributes to characteristic excitability properties in distinct populations of neurons, as well as to diversity in their susceptibility to modulation.

LPI can be potentially predicted based on donor and graft conditions. Accumulation of factors is correlated with an increased effect on LPI.

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Summary Prognosis after liver transplantation depends on a combination of recipient and donor variables. The purpose of this study is to define an allocation system of steatotic donor livers relative to recipient model for end‐stage liver disease (MELD) score. We reviewed 500 consecutive OLT, computing the MELD score for each recipient. Fatty infiltration in grafts was categorized in no steatosis, 10–30%, 30–60% and ≥60% steatosis. MELD score did not affect preservation injury and graft dysfunction, which were increased with fat content. Recipient and graft survivals lowered when increasing MELD score. Outcome in low‐risk recipients (MELD ≤9) was not altered with steatosis, except those with ≥60%. Survival functions in moderate‐risk recipients (MELD 10–19) were moderately affected with 10–30% steatosis and severely with those with >30. Exactly 30–60% steatotic grafts work poorly in high‐risk recipients (MELD ≥20), and very poorly with ≥60% steatosis. Prognosis of candidates is optimally influenced when divergence of recipient–donor risks is presented.

The aim of this study is to assess the effect of accumulation of marginal liver graft criteria on the immediate outcome of liver transplantation (LT). The last 325 consecutive LT performed in 293 patients were analyzed retrospectively with respect to donor acceptance criteria. A marginal liver score was elaborated on the basis of the following features: donor > 60 years, ICU stay > 4 days, cold ischemia times > 13 h, hypotensive episodes < 60 mmHg > 1 h, bilirubin > 2.0 mg/dl, ALT > 170 U/l, and AST > 140 U/l were scored with the value 1. The use of dopamine doses > 10 microg/kg per min and peak serum sodium > 155 mEq/l were labeled with value 2. The cut-off point at 6 months after LT revealed 42 deaths (14%), with 65 graft losses (20%) and 32 (9%) retransplants. Recipient survival was not affected by the combined effect of marginal criteria. However, recipients transplanted with marginal livers with score 3 or more showed a decrease in graft survival (log-rank 6.21; P = 0.045) and an increase in delayed non-function rate (10 out of 33 vs 4 out of 156; P = 0.03). The use of marginal liver donors with more than three risk factors must be carefully reviewed or refused because of the cumulative dysfunction of these grafts.

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