New-onset hyperglycemia immediately after liver transplantation: A national survey from China Liver Transplant Registry

Ke, Qinghong; Huang, Haitao; Ling, Qi; Liu, Jimin; Dong, Siyi; He, Xiangxiang; Zhang, Wenjin; Zheng, Shusen

doi:10.1016/j.hbpd.2018.08.005

Cited by 2 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A series of clinical trials have indicated the use of statins with or without ezetimibe could prevent and treat CKD 36 – 41 . Moreover, our previous studies also demonstrated that well controlled glucose and lipid levels during the perioperative period of LT could reduce the incidence of post-LT chronic diseases such as metabolic disorders and CKD 42 – 45 .eGFR is commonly served as an indicator of CKD due to its detection is accurate and convenient. In our study, we indicated that low eGFR level at 30 days after LT was an independent risk factor of post-LT CKD, suggesting the renal dysfunction in the early post-LT period may contribute to the development of CKD.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a nomogram model for predicting chronic kidney disease after liver transplantation: a multi-center retrospective study

Lin

Dong³

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

Chronic kidney disease (CKD) is a frequent complication after liver transplantation (LT) and associated with poor prognosis. In this study, we retrospectively analyzed 515 adult patients who underwent LT in our center. They were randomly divided into a training set (n = 360) and an internal test set (n = 155). Another 118 recipients in other centers served as external validation set. Univariate and multivariate COX regression analysis were used to determine risk factors. A nomogram model was developed to predict post-LT CKD. The incidence of post-LT CKD in our center was 16.9% (87/515) during a median follow-up time of 22.73 months. The overall survival of recipients with severe CKD (stage IV and V) were significantly lower than those with non or mild CKD (stage III) (p = 0.0015). A nomogram model was established based on recipient’s age, anhepatic phase, estimated glomerular filtration rate and triglyceride levels at 30 days after LT. The calibration curves for post-LT CKD prediction in the nomogram were consistent with the actual observation in both the internal and external validation set. In conclusion, severe post-LT CKD resulted in a significantly reduced survival in liver recipient. The newly established nomogram model had good predictive ability for post-LT CKD.

show abstract

Section: Discussionmentioning

confidence: 99%

Development and validation of a nomogram model for predicting chronic kidney disease after liver transplantation: a multi-center retrospective study

Lin

Dong³

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Our previous studies in both large human cohorts [45, 46] and mice models [19] demonstrated an imbalanced hepatic metabolic homeostasis after LT. This study not only proved that hepatocytes showed a metabolic reprogram after LT including insulin resistance, glucose and lipid metabolic homeostasis, but also revealed a comprehensive interplay between macrophage and hepatocytes in the transplanted liver.…”

Section: Discussionmentioning

confidence: 99%

Decoding the single-cell landscape and intercellular crosstalk in the transplanted liver: a 4-dimension mouse model

Huang

Zhang

Chen

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Graft remodeling after transplantation maintains graft functionality and determines graft survival. However, a comprehensive understanding of cellular diversity and interplay during graft remodeling remains to be fully characterized. In this study, we established a well tolerant C57BL/6 to C57BL/6 orthotopic liver transplantation (LT) mice model and observed two stages of graft recovery including an acute phase and a steady phase. We next performed single-cell RNA sequencing (scRNA-seq) and cytometry by time-of-flight (CyTOF) and recorded the cellular hierarchy in the transplanted liver during the two stages. Besides the dynamic change of cell proportion, it was notable that recipient-derived cells took over the transplanted liver in most cell types (e.g., B cells, T cells, dendritic cells, granulocytes and monocytes) except CD206+ MerTK+ macrophages and CD161+ CD49a+ CD49b−natural killer cells. We then focused on macrophages and captured 5 distinct transcriptional signatures to define novel subclusters. Using a ligand-receptor interaction strategy, we identified specific macrophage-hepatocyte interactions during the acute and stable phases, causing metabolic remodeling in the transplanted liver. Our results delineated a 4-dimension cell atlas (type-proportion-source-time) of the transplanted liver, which sheds light on the physiological process of liver graft maintenance and graft-recipient crosstalk.

show abstract

New-onset hyperglycemia immediately after liver transplantation: A national survey from China Liver Transplant Registry

Cited by 2 publications

References 24 publications

Development and validation of a nomogram model for predicting chronic kidney disease after liver transplantation: a multi-center retrospective study

Development and validation of a nomogram model for predicting chronic kidney disease after liver transplantation: a multi-center retrospective study

Decoding the single-cell landscape and intercellular crosstalk in the transplanted liver: a 4-dimension mouse model

Contact Info

Product

Resources

About