Compromised AMPK-PGCIα Axis Exacerbated Steatotic Graft Injury by Dysregulating Mitochondrial Homeostasis in Living Donor Liver Transplantation.

OBJECTIVE: To investigate the association of graft steatosis with long-term outcome, and to elucidate the mechanism of steatotic graft injury in adult living donor liver transplantation. SUMMARY OF BACKGROUND DATA: The utilization of steatotic graft expands the donor pool for living donor liver transplantation (LDLT). However, it remains controversial due to its high morbidity and mortality. Elucidating the mechanism of steatotic graft injury is crucial to develop therapeutic strategies targeting at graft injury and to further expand the donor pool. METHODS: Five hundred thirty patients receiving LDLT were prospectively included for risk factor analysis and outcome comparison. Rat orthotopic liver transplantation, in vitro functional experiments and mouse hepatic ischemia/ reperfusion models were established to explore the mechanisms of steatotic graft injury. RESULTS: We identified that graft with >10% steatosis was an independent risk factor for long-term graft loss after LDLT (hazard ratio 2.652, P = 0.001), and was associated with shorter cancer recurrence-free survival and acute phase liver injury. Steatotic graft displayed distinct mitochondrial dysfunction, including membrane, calcium, and energy homeostasis dysregulation. Specifically, the mitochondrial biogenesis was remarkably downregulated in steatotic graft. Inhibition of AMPK-PGC1α axis impaired mitochondrial biogenesis and was lethal to fatty hepatocyte in vitro , whereas reactivation of AMPK promoted PGC1α-mediated mitochondrial biogenesis and attenuated liver injury via restoring mitochondrial function in animal model. Conclusions: We provided a new mechanism that compromised AMPK-PGC1α axis exacerbated steatotic graft injury in LDLT by dysregulating mitochondrial homeostasis through impairment of biogenesis.

Haemodynamic Variations of Flow to Renal Arteries in Custom-Made and Pivot Branch Fenestrated Endografting.

OBJECTIVE: This study aimed to investigate variation of blood flow to renal arteries in custom-made and pivot branch (p-branch) fenestrated endografting, using a computational fluid dynamics (CFD) technique. METHODS: Idealised models of custom-made and p-branch fenestrated grafting were constructed on a basis of a 26 mm stent graft. The custom-made fenestration was designed with a 6 mm diameter, while the 5 mm depth renal p-branch was created with a 6 mm inner and 15 mm outer fenestration. Two configurations (option A and option B) were constructed with different locations of p-branches. Option A had both renal p-branches at the same level, whereas option B contained two staggered p-branches at lower positions. The longitudinal stent orientation in both custom-made and p-branch models was represented by a takeoff angle (ToA) between the renal stent and distal stent graft centreline, varying from 55° to 125°. Computational simulations were performed with realistic boundary conditions governing the blood flow. RESULTS: In both custom-made and p-branch fenestrated models, the flow rate and wall shear stress (WSS) were generally higher and recirculation zones were smaller when the renal stent faced caudally. In custom-made models, the highest flow rate (0.390 L/min) was detected at 70° ToA and maximum WSS on vessel segment (16.8 Pa) was attained at 55° ToA. In p-branch models, option A and option B displayed no haemodynamic differences when having the same ToA. The highest flow rate (0.378 L/min) and maximum WSS on vessel segment (16.7 Pa) were both calculated at 55° ToA. The largest and smallest recirculation zones occurred at 90° and 55° ToA respectively in both custom-made and p-branch models. Custom-made fenestrated models exhibited consistently higher flow rate and shear stress and smaller recirculation zones in renal arteries than p-branch models at the same ToA. CONCLUSIONS: Navigating the renal stents towards caudal orientation can achieve better haemodynamic outcomes in both fenestrated devices. Custom-made fenestrated stent grafts are the preferred choice for elective patients. Further clinical evidence is required to validate the computational simulations.

A connection between the maximum displacements of rogue waves and the dynamics of poles in the complex plane.

Rogue waves of evolution systems are displacements which are localized in both space and time. The locations of the points of maximum displacements of the wave profiles may correlate with the trajectories of the poles of the exact solutions from the perspective of complex variables through analytic continuation. More precisely, the location of the maximum height of the rogue wave in laboratory coordinates (real space and time) is conjectured to be equal to the real part of the pole of the exact solution, if the spatial coordinate is allowed to be complex. This feature can be verified readily for the Peregrine breather (lowest order rogue wave) of the nonlinear Schrödinger equation. This connection is further demonstrated numerically here for more complicated scenarios, namely the second order rogue wave of the Boussinesq equation (for bidirectional long waves in shallow water), an asymmetric second order rogue wave for the nonlinear Schrödinger equation (as evolution system for slowly varying wave packets), and a symmetric second order rogue wave of coupled Schrödinger systems. Furthermore, the maximum displacements in physical space occur at a time instant where the trajectories of the poles in the complex plane reverse directions. This property is conjectured to hold for many other systems, and will help to determine the maximum amplitudes of rogue waves.

Postoperative Plasmacytoid Dendritic Cells Secrete IFNα to Promote Recruitment of Myeloid-Derived Suppressor Cells and Drive Hepatocellular Carcinoma Recurrence.

Patients with hepatocellular carcinoma (HCC) confront a high incidence of tumor recurrence after curative surgical resection. Hepatic ischemia-reperfusion injury (IRI) is the major consequence of surgical stress during hepatectomy. Although it has been suggested that hepatic IRI-induced immunosuppression could contribute to tumor relapse after surgery, the underlying mechanisms have not been fully defined. Here, using a multiplex cytokine array, we found that levels of postoperative IFNα serve as an independent risk factor for tumor recurrence in 100 patients with HCC with curative hepatectomy. Plasmacytoid dendritic cells (pDC), the major source of IFNα, were activated after surgery and correlated with poor disease-free survival. Functionally, IFNα was responsible for mobilization of myeloid-derived suppressor cells (MDSC) following hepatic IRI. Conditioned medium from IFNα-treated hepatocytes mediated the migration of MDSCs in vitro. Mechanistically, IFNα upregulated IRF1 to promote hepatocyte expression of CX3CL1, which subsequently recruited CX3CR1+ monocytic MDSCs. Knockdown of Irf1 or Cx3cl1 in hepatocytes significantly inhibited the accumulation of monocytic MDSCs in vivo. Therapeutically, elimination of pDCs, IFNα, or CX3CR1 could restore the tumor-killing activity of CD8+ T cells, hence limiting tumor growth and lung metastasis following hepatic IRI. Taken together, these data suggest that IFNα-producing pDCs drive CX3CR1+ MDSC recruitment via hepatocyte IRF1/CX3CL1 signaling and lead to tumor recurrence after hepatectomy in HCC. Targeting pDCs and the IFNα/CX3CL1/CX3CR1 axis could inhibit surgical stress-induced HCC recurrence by attenuating postoperative immunosuppression. SIGNIFICANCE: IFNα secreted by plasmacytoid dendritic cells drives postoperative immunosuppression and early recurrence of hepatocellular carcinoma, providing new biomarkers and therapeutic targets to improve patient outcomes after surgical resection.

Comparison of modeling accuracy between Radixact®and CyberKnife®Synchrony®respiratory tracking system.

Synchrony Respiratory Tracking system adapted from CyberKnife has been introduced in Radixact to compensate the tumor motion caused by respiration. This study aims to compare the modeling accuracy of the Synchrony system between Radixact and CyberKnife. Two Synchrony plans based on fiducial phantoms were created for CyberKnife and Radixact, respectively. Different respiratory motion traces were used to drive a motion platform to move along the superoinferior and left-right direction. The cycle time and the amplitude of target/surrogate motion of one selected motion trace were scaled to investigate the dependence of modeling accuracy on the motion characteristic. The predicted target position, the correlation error, potential difference (Radixact only) and standard error (CyberKnife only) were extracted from raw data or log files of the two systems. The modeling accuracy was evaluated by calculating the root-mean-square (RMS) error between the predicted target positions and the input motion trace. A threshold T95 within which 95% of the potential difference or the standard error lay was defined and evaluated. Except for the motion trace with a small amplitude and a good (linear) correlation between target and surrogate motion, Radixact showed smaller RMS errors than CyberKnife. The RMS error of both systems increased with the motion amplitude and showed a decreasing trend with the increasing cycle time. No correlation was found between the RMS error and the amplitude of surrogate motion. T95 could be a good estimator of modeling accuracy for CyberKnife rather than Radixact. The correlation error defined in Radixact were largely affected by the number of fiducial markers and the setup error. In general, the modeling accuracy of the Radixact Synchrony system is better than that of the CyberKnife Synchrony system under unfavorable conditions.

The unique challenges faced by psychiatrists and other mental health professionals working in a multicultural setting.

This article describes and analyzes the unique challenges that face psychiatrists and other mental health professionals serving a multicultural population in a limited geographic setting, based on the author's experiences working as a psychiatrist on a mobile crisis unit from 1984 through 1991 on the Lower East Side of Manhattan. Of special importance, the paper presents and provides support for the "interaction hypothesis", which proposes that sociocultural background factors interact with mental disorders to produce dissimilar behavioral expressions of the same disorder among members of different ethnic groups. Concern is voiced that mental health professions, in order to provide effective treatment in multicultural settings, need to understand and accept each ethnic group's idiosyncracies, identity, and background.

A psychiatric mobile crisis unit in New York City: description and assessment, with implications for mental health care in the 1990s.

This article presents a review and assessment of a community Mobile Crisis Intervention Team working on the Lower East Side of Manhattan. Of special importance, a trend is noted involving a changing philosophy and modus operandi. Some reasons are offered to explain the trend and questions are raised about the future of the delivery of mental health services in large urban areas.

Tanshinone IIA inhibits human prostate cancer cells growth by induction of endoplasmic reticulum stress in vitro and in vivo.

BACKGROUND: Tanshinone IIA (Tan-IIA) is one of the major lipophilic components isolated from the root of Salviae Miltiorrhizae Radix. We explored the mechanisms of cell death induced by Tan-IIA treatment in prostate cancer cells in vitro and in vivo. METHODS: Cells were treated with Tan-IIA and growth inhibition was assessed. Cell cycle profiles after Tan-IIA treatment were determined by flow cytometry. Expression levels of cell cycle regulatory proteins and apoptosis-related proteins were determined after Tan-IIA treatment. Expression levels of endoplasmic reticulum (ER) stress-regulated genes were determined to investigate their role in Tan-IIA-induced cell death. GADD153 expression was knocked down by small interfering RNA (siRNA) transfection. Rate of cell death and proliferation was obtained by 3-(4,5-dimethyl thizol-2-yl)-2,5-diphenyl tetrazolium bromide assay. Antitumor activity of Tan-IIA was performed in LNCaP xenograft model. RESULTS: Our results showed that Tan-IIA caused prostate cancer cell death in a dose-dependent manner, and cell cycle arrest at G0/G1 phase was noted, in LNCaP cells. The G0/G1 phase arrest correlated with increase levels of CDK inhibitors (p16, p21 and p27) and decrease of the checkpoint proteins. Tan-IIA also induced ER stress in prostate cancer cells: activation and nuclear translocation of GADD153/CCAAT/enhancer-binding protein-homologous protein (CHOP) were identified, and increased expression of the downstream molecules GRP78/BiP, inositol-requiring protein-1α and GADD153/CHOP were evidenced. Blockage of GADD153/CHOP expression by siRNA reduced Tan-IIA-induced cell death in LNCaP cells. Tan-IIA also suppressed LNCaP xenograft tumor growth, causing 86.4% reduction in tumor volume after 13 days of treatment. CONCLUSIONS: Our findings suggest that Tan-IIA causes G0/G1 cell cycle arrest in LNCaP cells and its cytotoxicity is mediated at least partly by ER stress induction. These data provide evidence supporting Tan-IIA as a potential anticancer agent by inducing ER stress in prostate cancer.

How to generate improved potentials for protein tertiary structure prediction: a lattice model study.

Success in the protein structure prediction problem relies heavily on the choice of an appropriate potential function. One approach toward extracting these potentials from a database of known protein structures is to maximize the Z-score of the database proteins, which represents the ability of the potential to discriminate correct from random conformations. These optimization methods model the entire distribution of alternative structures, reducing their ability to concentrate on the lowest energy structures most competitive with the native state and resulting in an unfortunate tendency to underestimate the repulsive interactions. This leads to reduced accuracy and predictive ability. Using a lattice model, we demonstrate how we can weight the distribution to suppress the contributions of the high-energy conformations to the Z-score calculation. The result is a potential that is more accurate and more likely to yield correct predictions than other Z-score optimization methods as well as potentials of mean force.

Optimizing potentials for the inverse protein folding problem.

Inverse protein folding, which seeks to identify sequences that fold into a given structure, has been approached by threading candidate sequences onto the structure and scoring them with database-derived potentials. The sequences with the lowest energies are predicted to fold into that structure. It has been argued that the limited success of this type of approach is not due to the discrepancy between the scoring potential and the true potential but is rather due to the fact that sequences choose their lowest-energy structure rather than structures choosing the lowest-energy sequences. Here we develop a non-physical potential scheme optimized for the inverse folding problem. We maximize the average probability of success for a set of lattice proteins to obtain the optimal potential energy function, and show that the potential obtained by our method is more likely to produce successful predictions than the true potential.

Optimizing energy potentials for success in protein tertiary structure prediction.

BACKGROUND: Success in solving the protein structure prediction problem relies on the choice of an accurate potential energy function. for a single protein sequence, it has been shown that the potential energy function can be optimized for predictive success by maximizing the energy gap between the correct structure and the ensemble of random structures relative to the distribution of the energies of these random structures (the Z-score). Different methods have been described for implementing this procedure for an ensemble of database proteins. Here, we demonstrate a new approach. RESULTS: For a single protein sequence, the probability of success (i.e the probability that the folded state is the lowest energy state) is derived. We then maximize the average probability of success for a set of proteins to obtain the optimal potential energy function. This results in maximum attention being focused on the proteins whose structures are difficult but not impossible to predict. CONCLUSIONS: Using a lattice model of proteins, we show that the optimal interaction potentials obtained by our method are both more accurate and more likely to produce successful predictions than those obtained by other averaging procedures.