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Tacrolimus (TAC), also called FK506, is one of the classical immunosuppressants to prevent allograft rejection after liver transplantation. However, it has been proved to be associated with post-transplant hyperlipemia. The mechanism behind this is unknown, and it is urgent to explore preventive strategies for hyperlipemia after transplantation. Therefore, we established a hyperlipemia mouse model to investigate the mechanism, by injecting TAC intraperitoneally for eight weeks. After TAC treatment, the mice developed hyperlipemia (manifested as elevated triglyceride (TG) and low-density lipoprotein cholesterol (LDL-c), as well as decreased high-density lipoprotein cholesterol (HDL-c)). Accumulation of lipid droplets was observed in the liver. In addition to lipid accumulation, TAC induced inhibition of the autophagy-lysosome pathway (microtubule-associated protein 1 light chain 3β (LC3B) II/I and LC3B II/actin ratios, transcription factor EB (TFEB), protein 62 (P62), and lysosomal-associated membrane protein 1 (LAMP1)) and downregulation of fibroblast growth factor 21 (FGF21) in vivo. Overexpression of FGF21 may reverse TAC-induced TG accumulation. In this mouse model, the recombinant FGF21 protein ameliorated hepatic lipid accumulation and hyperlipemia through repair of the autophagy-lysosome pathway. We conclude that TAC downregulates FGF21 and thus exacerbates lipid accumulation by impairing the autophagy-lysosome pathway. Recombinant FGF21 protein treatment could therefore reverse TAC-caused lipid accumulation and hypertriglyceridemia by enhancing autophagy.
Subject(s)
Animals , Mice , Tacrolimus , Liver , Cholesterol, LDL , Autophagy , Disease Models, AnimalABSTRACT
Objective:To explore the early and medium-long term outcomes of steatosis donor liver transplantation(LT)for an optimal clinical application.Methods:From January 2015 to December 2020, this retrospective cohort study was conducted jointly at Shulan (Hangzhou) Hospital, First Affiliated Hospital of Zhejiang University and First Hospital of Jilin University. The relevant clinicopathological and follow-up data were collected from 1535 LT recipients. For comparison, propensity score was utilized for case-control matching of steatosis and non-steatosis donor livers. According to presence or absence of liver steatosis, the recipients were divided into two groups of steatosis donor liver (n=243) and non-steatosis donor liver (n=1292). And 1∶1 propensity score matching was made for two groups. Then early and medium-long term outcomes of two groups were examined. Counts were described as absolute numbers. Kaplan-Meier method was employed for calculating survival time and plotting survival curve and Log-rank test for survival analysis. COX regression model was utilized for univariate and multivariate analyses. Based on basic metabolic disease pre-LT, steatosis donor liver recipients were divided into three subgroups: BMI ≥25 kg/m 2 with hypertension or diabetes (n=21), BMI<25 kg/m 2 and no hypertension or diabetes (n=130) and other recipients (n=92). A comparative study was performed for determining the prognosis of subgroups according to the different characteristics of recipient and donor liver. Results:No significant inter-group difference existed in 2-year survival post-LT ( P=0.174). However, significant inter-group difference in survival existed after 2 years post-LT ( P=0.004). And 3/5-year survival rate of steatosis donor liver was 66.4% and 44.2% respectively. Both were significantly lower than those of non-steatosis donor liver. Multivariate Cox regression analysis indicated that steatosis donor liver and male recipients were independent risk factors for prognosis >2 years survival post-LT( P=0.008, P=0.004). Subgroup analysis of steatosis liver donors showed that the prognosis of patients with BMI ≥25 kg/m 2 with hypertension or diabetes was significantly worse than other subgroups (BMI <25 kg/m 2 with no hypertension or diabetes and other recipients) <2 years survival post-LT ( P=0.029, P=0.043). Conclusions:Steatosis donor liver does not affect early survival of recipients, yet reduces medium-long term survival rate of recipients notably. In steatosis donor liver recipients, early survival rate declines markedly in recipients with preoperative BMI ≥25 kg/m 2 with hypertension or diabetes as compared with BMI <25 kg/m 2 with no hypertension or diabetes group.
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Objective:To investigate the prognosis and influencing factors of liver transplantation (LT) for hepatocellular carcinoma (HCC) using steatotic donor liver.Methods:The retrospective cohort study was conducted. The clinicopathological data of 152 pairs of donors and the corresponding recipients undergoing LT for HCC in the two medical centers [89 pairs in Shulan (Hangzhou) Hospital and 63 pairs in the First Affiliated Hospital of Zhejiang University School of Medicine] from January 2015 to December 2019 were collected. Of 152 donors, there were 131 males and 21 females, aged (48±12)years, and there were 130 cases with liver mild steatosis and 22 cases with liver moderate steatosis. Of 152 recipients, there were 138 males and 14 females, aged (52±9)years. Observation indicators: (1) follow-up, overall survival and tumor recurrence free survival of recipients; (2) influencing factors for overall survival and tumor recurrence free survival of recipients; (3) construction and validation of nomogram prediction model for overall survival and tumor recurrence free survival of recipients. Follow-up was conducted using outpatient examination and telephone interview to detect survival and tumor recurrence of recipients up to December 2020. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( IQR). Count data were described as absolute numbers. The Kaplan-Meier method was used to calculate the survival time and draw survival curve, and the Log-Rank test was used for survival analysis. The COX regression model was used for univariate and multivariate analysis. The independent risk factors were brought into the R 3.6.2 software to construct nomogram prediction model and draw the receiver operating characteristic (ROC) curve. The accuracy and discrimination of the nomogram prediction model were evaluated using the area under curve (AUC) and the calibration curve. Results:(1) Follow-up, overall survival and tumor recurrence free survival of recipients. All the 152 recipients undergoing LT for HCC using steatotic donor liver were followed up for 45.8(27.6)months, with the overall survival time and tumor recurrence free survival time of 36.5(32.3)months and 30.4(34.6)months. The 1-year, 3-year overall survival rates and tumor recurrence free rates of the 152 recipients were 73.4%, 55.8% and 62.2%, 43.4%, respectively. (2) Influencing factors for overall survival and tumor recurrence free survival of recipients. Results of univariate analysis showed that the donor liver cold ischemia time (CIT), the donor liver warm ischemia time (WIT), graft-to-recipient weight ratio (GRWR), ABO compatibility, recipient body mass index (BMI), recipient tumor diameter, recipient tumor number, recipient tumor differentiation degree, recipient preoperative alpha fetoprotein (AFP) were related factors influencing the overall survival of recipients ( hazard ratio=6.26, 1.90, 2.47, 4.08, 0.55, 5.16, 3.62, 5.28, 2.65, 95% confidence interval as 3.01?13.03, 1.07?3.38, 1.36?4.49, 2.07?8.03, 0.31?0.98, 2.56?10.42, 1.95?6.72, 1.60?17.42, 1.48?5.01, P<0.05) and the donor liver CIT, GRWR, ABO compatibility, recipient tumor diameter, recipient tumor number, recipient tumor differentiation degree, recipient preoperative AFP were related factors influencing the tumor recurrence free survival of recipients ( hazard ratio=4.24, 2.53, 4.05, 3.39, 3.10, 5.19, 2.63, 95% confidence interval as 2.50?7.21, 1.54?4.17, 2.12?7.72, 2.04?5.62, 1.91?5.03, 2.04?13.18, 1.61?4.30, P<0.05). Results of multivariate analysis showed that donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm and recipient preoperative AFP ≥400 μg/L were independent risk factors influencing the overall survival of recipients ( hazard ratio=4.21, 2.58, 4.10, 2.27, 95% confidence interval as 1.98?8.96, 1.24?5.35, 1.35?12.43, 1.13?4.56, P<0.05) and donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm, recipient tumor number ≥3 and recipient preoperative AFP ≥400 μg/L were independent risk factors influencing the tumor recurrence free survival of recipients ( hazard ratio=3.37, 2.63, 2.42, 2.12, 2.22, 95% confidence interval as 1.70?6.67, 1.40?4.96, 1.04?5.66, 1.08?4.18, 1.26?3.90, P<0.05). (3) Construction and validation of nomogram prediction model for overall survival and tumor recurrence free survival of recipients. The donor live CIT, GRWR, recipient tumor diameter, recipient preoperative AFP were used to construct nomogram prediction model for overall survival of recipients and the donor liver CIT, GRWR, recipient tumor diameter, recipient tumor number, recipient preoperative AFP were used to construct nomogram prediction model for tumor recurrence free survival of recipients. The ROC curve showed that the AUC of the nomogram prediction model for overall survival of recipients was 0.84 (95% confidence interval as 0.76?0.92, P<0.05), with the optimal diagnostic value as 7.3 and the specificity and sensitivity as 87.6% and 70.0%. The AUC of the nomogram prediction model for tumor recurrence free survival of recipients was 0.79 (95% confidence interval as 0.71?0.87, P<0.05), with the optimal diagnostic value as 5.8 and the specificity and sensitivity as 97.4% and 52.5%. The calibration curve showed that the nomogram prediction model had good distinction for high risk recipients in overall survival and tumor recurrence free survival. Conclusion:Donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm and recipient preoperative AFP ≥400 μg/L are independent risk factors influencing the overall survival of recipients who underwent LT for HCC using steatotic donor liver and donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm, recipient tumor number ≥ 3 and recipient preoperative AFP ≥400 μg/L are independent risk factors influencing the tumor recurrence free survival of recipients.
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Objective:To explore the value of aspartate aminotransferase(AST)and platelet (PLT)ratio index(APRI)in the prognosis of liver transplantation(LT)for hepatocellular carcinoma and establish a nomogram model for evaluating its clinical application potential.Methods:From January 2015 to December 2019, retrospective review was conducted for clinical data of LT for hepatocellular carcinoma(HCC)at First Affiliated Hospital of Zhejiang University School of Medicine and Shulan(Hangzhou)Hospital(601 cases). They were randomized into two groups of modeling (399 cases)and validation(202 cases)and then divided into low and high APRI groups according to the APRI value at Month 1 post-transplantation. The independent risk factors of recurrence and prognosis post-LT were screened in modeling group using univariate and multivariate Cox regression analyses and were further used for constructing a nomogram prediction model. The receiver operating characteristic curve(ROC)and survival curve were utilized for verifying the accuracy of nomogram prediction model.Results:Univariate and multivariate Cox regression analyses revealed that independent risk factors for the prognosis of HCC-LT included cold ischemic time(CIT) >8 h, beyond Hangzhou criteria, surgical bleeding volume >1 000 ml and APRI >1.5. The AUC of HCC-LT recurrence prediction model was 0.734(95%CI: 0.681~0.787)and 0.749(95%CI: 0.671~0.817)in modeling and validation groups; the AUC of HCC-LT mortality prediction model was 0.735(95%CI: 0.679~0.790)and 0.758(95%CI: 0.682~0.834)in modeling and validation groups.Conclusions:APRI>1.5 is an independent risk factor for postoperative recurrence and mortality after HCC-LT. The nomogram prediction model based upon CIT, Hangzhou criteria, intraoperative bleeding volume and APRI can effectively predict the recurrence and overall survival of LT for HCC.