Sarcopenia Affects Liver Regeneration and Long-Term Survival Rate After Living-Donor Liver Transplantation in Patients With Hepatocellular Carcinoma.

PURPOSE: Despite technological and immunologic innovations, some living-donor liver transplant (LDLT) recipients still face poor liver regeneration. Sarcopenia is often recognized as a biomarker for poor outcomes in surgical patients. This study aimed to evaluate associations between sarcopenia and liver regeneration in LDLT recipients. MATERIALS AND METHODS: This retrospective review included consecutive patients who had received LDLT at Chang Gung Memorial Hospital between 2005 and 2017. Sarcopenia was assessed using the psoas muscle index (PMI) in cross-sectional images. Receiver operating characteristic curve analysis was used to determine the ability of PMI to predict relatively poor survival rates. Correlations between liver regeneration and sarcopenia were evaluated using regression analysis. RESULTS: A total of 109 LDLT recipients were included. The 1-, 3-, 5, 10-, and 15-year survival rates were 93.7%, 84.8%, 79.7%, 74.7%, and 73.3% in males and 93.3%, 83.3%, 83.3%, 71.4%, and 71.4% in females. PMIs were significantly different based on 10- and 15-year overall survival rates (P = .001 and P = .000) in male patients. Receiver operating characteristic curve analysis revealed the PMI cutoff point at 6.7 cm2/m2 (sensitivity = 48.3%, specificity = 81%, AUC (area under the ROC curve) = 0.685) based on 10-year survival. Linear regression analysis revealed that PMI was significantly associated with liver regeneration in males (P = .013). CONCLUSIONS: Sarcopenia and low PMI are associated with poor liver regeneration and long-term survival after LDLT in male patients. Further studies, including sarcopenia with conventional scores, may help to more reliably predict liver regeneration and mortality among LDLT patients with hepatocellular carcinoma.

Effective Invasiveness Recognition of Imbalanced Data by Semi-Automated Segmentations of Lung Nodules.

Over the past few decades, recognition of early lung cancers was researched for effective treatments. In early lung cancers, the invasiveness is an important factor for expected survival rates. Hence, how to effectively identify the invasiveness by computed tomography (CT) images became a hot topic in the field of biomedical science. Although a number of previous works were shown to be effective on this topic, there remain some problems unsettled still. First, it needs a large amount of marked data for a better prediction, but the manual cost is high. Second, the accuracy is always limited in imbalance data. To alleviate these problems, in this paper, we propose an effective CT invasiveness recognizer by semi-automated segmentation. In terms of semi-automated segmentation, it is easy for doctors to mark the nodules. Just based on one clicked pixel, a nodule object in a CT image can be marked by fusing two proposed segmentation methods, including thresholding-based morphology and deep learning-based mask region-based convolutional neural network (Mask-RCNN). For thresholding-based morphology, an initial segmentation is derived by adaptive pixel connections. Then, a mathematical morphology is performed to achieve a better segmentation. For deep learning-based mask-RCNN, the anchor is fixed by the clicked pixel to reduce the computational complexity. To incorporate advantages of both, the segmentation is switched between these two sub-methods. After segmenting the nodules, a boosting ensemble classification model with feature selection is executed to identify the invasiveness by equalized down-sampling. The extensive experimental results on a real dataset reveal that the proposed segmentation method performs better than the traditional segmentation ones, which can reach an average dice improvement of 392.3%. Additionally, the proposed ensemble classification model infers better performances than the compared method, which can reach an area under curve (AUC) improvement of 5.3% and a specificity improvement of 14.3%. Moreover, in comparison with the models with imbalance data, the improvements of AUC and specificity can reach 10.4% and 33.3%, respectively.

A Scoring System for Predicting Microvascular Invasion in Hepatocellular Carcinoma Based on Quantitative Functional MRI.

Microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is a histopathological marker and risk factor for HCC recurrence. We integrated diffusion-weighted imaging (DWI) and magnetic resonance (MR) image findings of tumors into a scoring system for predicting MVI. In total, 228 HCC patients with pathologically confirmed MVI who underwent surgical resection or liver transplant between November 2012 and March 2021 were enrolled retrospectively. Patients were divided into a right liver lobe group (n = 173, 75.9%) as the model dataset and a left liver lobe group (n = 55, 24.1%) as the model validation dataset. Multivariate logistic regression identified two-segment involved tumor (Score: 1; OR: 3.14; 95% CI: 1.22 to 8.06; p = 0.017); ADCmin ≤ 0.95 × 10-3 mm2/s (Score: 2; OR: 10.88; 95% CI: 4.61 to 25.68; p = 0.000); and largest single tumor diameter ≥ 3 cm (Score: 1; OR: 5.05; 95% CI: 2.25 to 11.30; p = 0.000), as predictive factors for the scoring model. Among all patients, sensitivity was 89.66%, specificity 58.04%, positive predictive value 68.87%, and negative predictive value 84.41%. For validation of left lobe group, sensitivity was 80.64%, specificity 70.83%, positive predictive value 78.12%, and negative predictive value 73.91%. The scoring model using ADCmin, largest tumor diameter, and two-segment involved tumor provides high sensitivity and negative predictive value in MVI prediction for use in routine functional MR.

Portosystemic Shunt in Pediatric Living Donor Liver Transplant.

BACKGROUND: To evaluate the significance of portosystemic shunts and associated long-term outcomes in living donor liver transplant (LDLT) among pediatric patients. METHODS: Retrospective review of 121 pediatric patients who underwent LDLT between May 1994 and December 2015 at Taiwan Kaohsiung Chang Gung Memorial Hospital. Pre- and postoperative computed tomography images of the liver were reviewed, and portal vein complications were assessed. RESULTS: Ninety-seven pediatric patients were included in the study, and 70 had portosystemic shunts before transplant. Thirty-three patients have portal systemic shunt (PSS) 6 months after transplant (mean [SD] shunt size, 4.59 [1.98] mm). Thirty-seven patients' portosystemic shunts closed spontaneously (mean [SD] shunt size, 3.14 [1.06] mm). Smaller PSSs tend to close spontaneously with a cutoff point of 3.35 mm by receiver operating characteristic curve (P = .01). Patients with PSS have more portal vein complications than those without PSS (44.3% vs 11.1%, P = .02). Among PSS recipients, patients with portal vein complications tend to have larger PSS size (mean [SD], 4.14 [1.96] mm vs 3.59 [1.48] mm), although the difference is not statistically significant (P = .19). CONCLUSIONS: In pediatric patients, preoperative portosystemic shunts are significantly correlated with portal venous complications, some of which require minimal interventions after LDLT with good outcomes. Shunts larger than 3.35 mm tend to persist after transplant with increased portal venous complications.

Sarcopenia adversely impacts postoperative complications in living-donor liver transplantation recipients.

Despite technological and immunological innovations, living-donor liver transplant (LDLT) recipients still face substantial risk of postoperative complications. Sarcopenia is being recognized more and more as a biomarker that correlates with poor outcomes in surgical patients. The purpose of this study was to evaluate the relationship between sarcopenia and significant surgical complications in LDLT recipients. This retrospective review included patients who had received LDLT at our institute from 2005 to 2017. Sarcopenia was assessed using the psoas muscle index (PMI) in cross-sectional images. ROC curve analysis was used to determine the ability of PMI to predict postoperative complications. Correlations between major postoperative complications and sarcopenia were evaluated using regression analysis. A total of 271 LDLT recipients were included. No significant differences were found between PMI and major postoperative complications in male patients. Female recipients with major postoperative complications had significantly lower mean PMI values (P = 0.028), and the PMI cut-off value was 2.63 cm2/m2. Postoperative massive pleural effusion requiring pigtail drainage occurred more frequently in the sarcopenia group than in the non-sarcopenia group (P = 0.003). 1-, 3-, 5- and 10-year overall survival rates in female were significantly poorer in the sarcopenia group (n = 14) compared with the non-sarcopenia group (n = 108), at 92.9% versus 97.2%, 85.7% versus 95.4%, 85.7% versus 92.5% and 70.1 versus 82.0%, respectively (P = 0.041) and 94.6%, 89.9%, 85.9% and 78.5% in male patients. Sarcopenia is associated with a significantly higher risk of major postoperative complications in females. PMI and sarcopenia together are predictive of major postoperative complications and survival rates in female LDLT recipients.

Differentiation of type 2 diabetes mellitus with different complications by proteomic analysis of plasma low abundance proteins.

BACKGROUND: Few biomarkers of type 2 diabetes mellitus (T2DM) are replicable in the differentiation of T2DM with different complications. We aimed to identify proteomic biomarkers among T2DM patients with nephropathy or retinopathy. METHODS: Plasma low abundance proteins were enriched by depletion of 14 high abundance proteins using an affinity removal system, and subjected to nanoflow liquid chromatography electrospray ionization (nano LC-ESI) mass spectrometry after a gel electrophoresis with in-gel digestion. The plasma differential proteomes between normal adults and diabetic patients were validated by another cohort of 149 T2DM patients. RESULTS: A total of 826 proteins in plasma were consistently identified from 8 plasma samples of normal adults, and 817 proteins were consistently identified in 8 plasma samples of T2DM patients. Using the MetaCore analysis, low abundance proteins in plasma between normal adults and T2DM patients were significantly different in 5 functional pathways. Moreover, plasma prolactin-induced protein (PIP), thrombospondin-2 (THBS2), L1 cell adhesion molecule (L1CAM) and neutrophil gelatinase-associated lipocalin (NGAL) levels were higher in T2DM patients. Further, PIP, THBS2 and NGAL were significantly higher in T2DM patients with nephropathy (albuminuria) but not in those with retinopathy, while L1CAM levels were higher in T2DM patients with retinopathy. CONCLUSIONS: This study identified that higher PIP, THBS2 and/or NGAL levels were significantly associated with nephropathy of T2DM, and higher L1CAM but normal PIP, THBS2 or NGAL was significantly associated with retinopathy of T2DM.

Beneficial effects of soluble dietary Jerusalem artichoke (Helianthus tuberosus) in the prevention of the onset of type 2 diabetes and non-alcoholic fatty liver disease in high-fructose diet-fed rats.

Jerusalem artichoke (JA) has the potential to attenuate lipid disturbances and insulin resistance (IR), but the underlying mechanisms are not well understood. In the present study, we elucidated the physiological responses and mechanisms of JA intervention with a comprehensive transcriptome analysis. Wistar rats were fed a control diet, a 60 % fructose-enriched diet (FRU), or a FRU with 10 % JA (n 6-7) for 4 weeks. An oral glucose tolerance test was carried out on day 21. Liver samples were collected for biochemical and global gene expression analyses (GeneChip® Rat Genome 230 2.0 Array, Affymetrix). Fructose feeding resulted in IR and hepatic TAG accumulation; dietary JA supplementation significantly improved these changes. Transcriptomic profiling revealed that the expression of malic enzyme 1 (Me1), associated with fatty acid synthesis; decorin (Dcn), related to fibrosis; and cytochrome P450, family 1, subfamily a, polypeptide 2 (Cyp1a2) and nicotinamide phosphoribosyltransferase (Nampt), associated with inflammation, was differentially altered by the FRU, whereas dietary JA supplementation significantly improved the expression of these genes. We established for the first time the molecular mechanisms driving the beneficial effects of JA in the prevention of type 2 diabetes and non-alcoholic fatty liver disease. We propose that 10 % JA supplementation may be beneficial for the prevention of the onset of these diseases.

Use of proteomic differential displays to assess functional discrepancies and adjustments of human bone marrow- and Wharton jelly-derived mesenchymal stem cells.

Mesenchymal stem cells (MSCs) from bone marrow are suitable for the reconstruction of connective tissues and even brain tissue but have limitations in terms of cell expansion and fully specific differentiation. In our current study, we have attempted to adjust and improve the cell expansion and differentiation properties of human MSCs from different tissues. MSCs from normal bone marrow and Wharton jelly were subjected to proteomic differential displays, followed by functional adjustments based on these displays. Bone marrow MSCs expressed more transgelin-2 and differentiated more rapidly into bone nodules but showed a slower growth rate. A knockdown of transgelin-2 expression by specific small interfering RNA (siRNA) significantly increased the growth rate of these cells, the G1/S phase cell cycle transition, and the interaction of cyclin D1 with cdk2. Wharton jelly MSCs expressed the chaperone protein HSP90ß at higher levels and differentiated slowly toward an osteogenic lineage. However, the knockdown of HSP90ß expression significantly increased bone nodule formation, inhibited cell growth, decreased the number of cells in the G1/S phase of the cell cycle, and decreased the interaction of cyclin D1 with cdk2 and of cyclin E with cdk2. These results were validated by the in vivo repair of segmental bone defects in a mouse model with severe combined immunodeficiency. We thus demonstrate an improvement in the cell expansion and tissue regeneration properties of human MSCs through specific adjustments.

Increased complement factor H with decreased factor B determined by proteomic differential displays as a biomarker of tai chi chuan exercise.

BACKGROUND: Exhaustive exercise can be associated with short-term immune suppression, but moderate exercise such as tai chi chuan (TCC) has been shown to have beneficial effects on immunity. The mechanisms for the health benefits of exercise remain to be determined, and no potential biomarkers for these beneficial health effects have been identified. This study investigated serum proteomic markers in individuals participating in TCC exercise. METHODS: Two-dimensional fluorescence difference gel electrophoresis was used to compare proteomic markers in 3 individuals before and after 12 weeks of TCC exercise. The different protein spots were identified by mass spectrometry and validated in an additional 20 individuals by western blot analysis. RESULTS: We identified 39 protein spots for 18 proteins with a noticeable increase or decrease after TCC exercise. Validation of the differentially displayed proteins with 20 paired pre- and postexercise samples revealed a significant increase in complement factor H (P = 0.0034) associated with decreases in C1 esterase inhibitor (P = 0.0038) and complement factor B (P = 0.0029). CONCLUSIONS: In this first study of proteomic biomarkers of TCC exercise, we found an increase in complement factor H associated with a decrease in complement factor B. Complement factor H is involved in protection from microangiopathy and macular degeneration and may represent a useful marker of the health effects of exercise.