Clinical Practice Guideline for Solid Organ Donation and Transplantation During the COVID-19 Pandemic.

The coronavirus 2019 (COVID-19) pandemic has disrupted health systems worldwide, including solid organ donation and transplantation programs. Guidance on how best to screen patients who are potential organ donors to minimize the risks of COVID-19 as well as how best to manage immunosuppression and reduce the risk of COVID-19 and manage infection in solid organ transplant recipients (SOTr) is needed. METHODS: Iterative literature searches were conducted, the last being January 2021, by a team of 3 information specialists. Stakeholders representing key groups undertook the systematic reviews and generation of recommendations using a rapid response approach that respected the Appraisal of Guidelines for Research and Evaluation II and Grading of Recommendations, Assessment, Development and Evaluations frameworks. RESULTS: The systematic reviews addressed multiple questions of interest. In this guidance document, we make 4 strong recommendations, 7 weak recommendations, 3 good practice statements, and 3 statements of "no recommendation." CONCLUSIONS: SOTr and patients on the waitlist are populations of interest in the COVID-19 pandemic. Currently, there is a paucity of high-quality evidence to guide decisions around deceased donation assessments and the management of SOTr and waitlist patients. Inclusion of these populations in clinical trials of therapeutic interventions, including vaccine candidates, is essential to guide best practices.

Systematic review and meta-analysis of post-transplant diabetes mellitus in liver transplant recipients.

Post-transplant diabetes mellitus (PTDM) compromises long-term survival in liver transplant (LT) recipients. The aim of this study was to determine incidence of PTDM after LT and risk factors associated with it. A literature search was conducted, and prospective studies that reported on the incidence of PTDM in LT adult patients on tacrolimus, sirolimus, or cyclosporine were included. We performed random effects meta-analyses for the incidence of PTDM stratified by immunosuppressant and time period. Of 9817 articles identified, 26 studies were included in the qualitative analysis and 21 studies were eligible for the quantitative analysis representing 79 559 LT recipients in 32 separate treatment arms. The proportion of patients who developed PTDM by two-three years was 0.15 (95% CI: 0.10-0.24) for cyclosporine, 0.23 (95% CI: 0.14-0.36) for tacrolimus, and 0.27 (95% CI: 0.23-0.30) for sirolimus. CONCLUSION: Our results showed that sirolimus-based immunosuppression was associated with a higher incidence of PTDM than tacrolimus or cyclosporine at two-three years. However, there were only two studies that compared all three drugs which is a limitation of the study and requires more studies with patients on sirolimus. Recipient factors increasing the risk of PTDM are older age, male sex, and high BMI.

Epigenetic basis of hepatocellular carcinoma: A network-based integrative meta-analysis.

AIM: To identify the key epigenetically modulated genes and pathways in HCC by performing an integrative meta-analysis of all major, well-annotated and publicly available methylation datasets using tools of network analysis. METHODS: PubMed and Gene Expression Omnibus were searched for genome-wide DNA methylation datasets. Patient clinical and demographic characteristics were obtained. DNA methylation data were integrated using the Ingenuity Pathway Analysis, a software package for visualizing and analyzing biological networks. Pathway enrichment analysis was performed using IPA, which also provides literature-driven and computationally-predicted annotations for significant association of genes to curated molecular pathways. RESULTS: From an initial 928 potential abstracts, we identified and analyzed 11 eligible high-throughput methylation datasets representing 354 patients. A significant proportion of studies did not provide concomitant clinical data. In the promoter region, HIST1H2AJ and SPDYA were the most commonly methylated, whereas HRNBP3 gene was the most commonly hypomethylated. ESR1 and ERK were central genes in the principal networks. The pathways most associated with the frequently methylated genes were G-protein coupled receptor and cAMP-mediated signalling. CONCLUSION: Using an integrative network-based analysis approach of genome-wide DNA methylation data of both the promoter and body of genes, we identified G-protein coupled receptor signalling as the most highly associated with HCC. This encompasses a diverse range of cancer pathways, such as the PI3K/Akt/mTOR and Ras/Raf/MAPK pathways, and is therefore supportive of previous literature on gene expression in HCC. However, there are novel targetable genes such as HIST1H2AJ that are epigenetically modified, suggesting their potential as biomarkers and for therapeutic targeting of the HCC epigenome.