Vedolizumab for the prevention of intestinal acute GVHD after allogeneic hematopoietic stem cell transplantation: a randomized phase 3 trial.

Acute graft-versus-host disease (aGVHD) of the lower gastrointestinal (GI) tract is a major cause of morbidity and mortality in patients receiving allogeneic hematopoietic stem cell transplantation (allo-HSCT). Vedolizumab is a gut-selective anti-α4ß7 integrin monoclonal antibody that reduces gut inflammation by inhibiting migration of GI-homing T lymphocytes. The efficacy and safety of vedolizumab added to standard GVHD prophylaxis (calcineurin inhibitor plus methotrexate/mycophenolate mofetil) was evaluated for prevention of lower-GI aGVHD after unrelated donor allo-HSCT in a randomized, double-blind, placebo-controlled phase 3 trial. Enrollment closed early during the COVID-19 pandemic with 343 patients randomized (n = 174 vedolizumab, n = 169 placebo), and 333 received ≥1 intravenous dose of 300 mg vedolizumab (n = 168) or placebo (n = 165) and underwent allo-HSCT. The primary end point was met; Kaplan-Meier (95% confidence interval) estimated rates of lower-GI aGVHD-free survival by day +180 after allo-HSCT were 85.5% (79.2-90.1) with vedolizumab versus 70.9% (63.2-77.2) with placebo (hazard ratio, 0.45; 95% confidence interval, 0.27-0.73; P < 0.001). For the 5 key secondary efficacy end points analyzed by day +180 after allo-HSCT, rates of lower-GI aGVHD-free and relapse-free survival and grade C-D aGVHD-free survival were significantly higher with vedolizumab versus placebo. No significant treatment differences were found for the other key secondary end points of non-relapse mortality, overall survival and grade B-D aGVHD-free survival, respectively. Incidence of treatment-related serious adverse events analyzed in patients receiving ≥1 dose of study treatment (n = 334) was 6.5% (n = 11 of 169) vedolizumab versus 8.5% (n = 14 of 165) placebo. When added to standard calcineurin inhibitor-based GVHD prevention, lower-GI aGVHD-free survival was significantly higher with vedolizumab versus placebo. ClinicalTrials.gov identifier: NCT03657160 .

A phase 2a randomized clinical trial of intravenous vedolizumab for the treatment of steroid-refractory intestinal acute graft-versus-host disease.

Steroid-refractory (SR) acute graft-versus-host disease (aGvHD) remains a significant complication after allogeneic hematopoietic cell transplantation. Systemic corticosteroids are first-line therapy for aGvHD, but apart from ruxolitinib, there are no approved treatments for SR aGvHD. Vedolizumab is approved for treatment of ulcerative colitis and Crohn's disease, and may be effective for treatment of SR intestinal aGvHD. We conducted a phase 2a trial (NCT02993783) to evaluate the clinical efficacy, tolerability, and safety of vedolizumab 300 and 600 mg for SR intestinal aGvHD. This study was terminated before full enrollment was completed because early results failed to demonstrate positive proof-of-concept in efficacy. Before termination, 17 participants had enrolled and an early response in intestinal aGvHD was observed in 11 and eight participants at days 15 and 28, respectively. All adverse events observed were consistent with those expected in a population with SR intestinal aGvHD. Overall, vedolizumab did not meet the primary efficacy endpoint (overall response at day 28), likely owing to premature study drug discontinuation, lack of efficacy, and the competing risks inherent with a population with advanced SR intestinal aGvHD. Nevertheless, this study provides valuable insights into the considerations needed when conducting studies in patients with SR intestinal aGvHD.

Vedolizumab for prevention of graft-versus-host disease after allogeneic hematopoietic stem cell transplantation.

Acute graft-versus-host disease (aGVHD) remains a significant complication of allogeneic hematopoietic stem cell transplantation (allo-HSCT). Vedolizumab could help prevent aGVHD by inhibiting the migration of both naive and activated lymphocytes into gut-associated lymphoid tissues and the lamina propria. We carried out a phase 1b, open-label, dose-finding study in adults undergoing allo-HSCT to evaluate the tolerability, safety, and pharmacokinetics of vedolizumab, and its effectiveness in reducing aGVHD. IV vedolizumab was administered on day -1, +13, and +42 with respect to allo-HSCT, starting at 75 mg and with dose escalation guided by tolerability and pharmacokinetics. A total of 24 participants was enrolled, and no dose-limiting toxicities were observed in either the 75-mg cohort (n = 3) or the dose-escalated 300-mg cohort (n = 21). Treatment-emergent adverse events related to vedolizumab occurred in 8 participants. Overall, 4 deaths occurred during the 12 months following allo-HSCT. No participants in the 75-mg cohort developed modified Glucksberg grade II to IV aGVHD by 100 days after allo-HSCT. Four participants (19.0%) in the 300-mg cohort developed grade II to IV aGVHD by 100 days after allo-HSCT, including 3 participants who developed stage 1 aGVHD of the lower-intestinal tract. Vedolizumab IV 300 mg was well tolerated as aGVHD prevention, and the incidence of overall and lower-intestinal aGVHD was low. These findings support further evaluation of vedolizumab in this patient population. This trial was registered at www.clinicaltrials.gov as #NCT02728895.

Portable simulation framework for diffusion MRI.

The numerical simulation of the diffusion MRI signal arising from complex tissue micro-structures is helpful for understanding and interpreting imaging data as well as for designing and optimizing MRI sequences. The discretization of the Bloch-Torrey equation by finite elements is a more recently developed approach for this purpose, in contrast to random walk simulations, which has a longer history. While finite element discretization is more difficult to implement than random walk simulations, the approach benefits from a long history of theoretical and numerical developments by the mathematical and engineering communities. In particular, software packages for the automated solutions of partial differential equations using finite element discretization, such as FEniCS, are undergoing active support and development. However, because diffusion MRI simulation is a relatively new application area, there is still a gap between the simulation needs of the MRI community and the available tools provided by finite element software packages. In this paper, we address two potential difficulties in using FEniCS for diffusion MRI simulation. First, we simplified software installation by the use of FEniCS containers that are completely portable across multiple platforms. Second, we provide a portable simulation framework based on Python and whose code is open source. This simulation framework can be seamlessly integrated with cloud computing resources such as Google Colaboratory notebooks working on a web browser or with Google Cloud Platform with MPI parallelization. We show examples illustrating the accuracy, the computational times, and parallel computing capabilities. The framework contributes to reproducible science and open-source software in computational diffusion MRI with the hope that it will help to speed up method developments and stimulate research collaborations.

A computational model of open-irrigated radiofrequency catheter ablation accounting for mechanical properties of the cardiac tissue.

Radiofrequency catheter ablation (RFCA) is an effective treatment for cardiac arrhythmias. Although generally safe, it is not completely exempt from the risk of complications. The great flexibility of computational models can be a major asset in optimizing interventional strategies if they can produce sufficiently precise estimations of the generated lesion for a given ablation protocol. This requires an accurate description of the catheter tip and the cardiac tissue. In particular, the deformation of the tissue under the catheter pressure during the ablation is an important aspect that is overlooked in the existing literature, which resorts to a sharp insertion of the catheter into an undeformed geometry. As the lesion size depends on the power dissipated in the tissue and the latter depends on the percentage of the electrode surface in contact with the tissue itself, the sharp insertion geometry has the tendency to overestimate the lesion obtained, which is a consequence of the tissue temperature rise overestimation. In this paper, we introduce a full 3D computational model that takes into account the tissue elasticity and is able to capture tissue deformation and realistic power dissipation in the tissue. Numerical results in FEniCS-HPC are provided to validate the model against experimental data and to compare the lesions obtained with the new model and with the classical ones featuring a sharp electrode insertion in the tissue.

Diffusion MRI simulation in thin-layer and thin-tube media using a discretization on manifolds.

The Bloch-Torrey partial differential equation can be used to describe the evolution of the transverse magnetization of the imaged sample under the influence of diffusion-encoding magnetic field gradients inside the MRI scanner. The integral of the magnetization inside a voxel gives the simulated diffusion MRI signal. This paper proposes a finite element discretization on manifolds in order to efficiently simulate the diffusion MRI signal in domains that have a thin layer or a thin tube geometrical structure. The variable thickness of the three-dimensional domains is included in the weak formulation established on the manifolds. We conducted a numerical study of the proposed approach by simulating the diffusion MRI signals from the extracellular space (a thin layer medium) and from neurons (a thin tube medium), comparing the results with the reference signals obtained using a standard three-dimensional finite element discretization. We show good agreements between the simulated signals using our proposed method and the reference signals for a wide range of diffusion MRI parameters. The approximation becomes better as the diffusion time increases. The method helps to significantly reduce the required simulation time, computational memory, and difficulties associated with mesh generation, thus opening the possibilities to simulating complicated structures at low cost for a better understanding of diffusion MRI in the brain.

3D Fluid-Structure Interaction Simulation of Aortic Valves Using a Unified Continuum ALE FEM Model.

Due to advances in medical imaging, computational fluid dynamics algorithms and high performance computing, computer simulation is developing into an important tool for understanding the relationship between cardiovascular diseases and intraventricular blood flow. The field of cardiac flow simulation is challenging and highly interdisciplinary. We apply a computational framework for automated solutions of partial differential equations using Finite Element Methods where any mathematical description directly can be translated to code. This allows us to develop a cardiac model where specific properties of the heart such as fluid-structure interaction of the aortic valve can be added in a modular way without extensive efforts. In previous work, we simulated the blood flow in the left ventricle of the heart. In this paper, we extend this model by placing prototypes of both a native and a mechanical aortic valve in the outflow region of the left ventricle. Numerical simulation of the blood flow in the vicinity of the valve offers the possibility to improve the treatment of aortic valve diseases as aortic stenosis (narrowing of the valve opening) or regurgitation (leaking) and to optimize the design of prosthetic heart valves in a controlled and specific way. The fluid-structure interaction and contact problem are formulated in a unified continuum model using the conservation laws for mass and momentum and a phase function. The discretization is based on an Arbitrary Lagrangian-Eulerian space-time finite element method with streamline diffusion stabilization, and it is implemented in the open source software Unicorn which shows near optimal scaling up to thousands of cores. Computational results are presented to demonstrate the capability of our framework.

Nurses' Perspectives on In-Home Monitoring of Elderlies's Motion Pattern.

In-home monitoring systems have been proposed to support aging in place and facilitate home care service. Through a qualitative approach the study explores nurses' existing challenges and perspectives of an in-home monitoring system. Results indicate that nurses base care decisions on multiple, and sometimes, unreliable information sources. However, access to information about elderlies' physical motion could support the care planning process by reducing ambiguity and raising attention. Hence, a simple and affordable system that largely relies on nurses to interpret the sensed data could bring additional value.

Adaptive unified continuum FEM modeling of a 3D FSI benchmark problem.

In this paper, we address a 3D fluid-structure interaction benchmark problem that represents important characteristics of biomedical modeling. We present a goal-oriented adaptive finite element methodology for incompressible fluid-structure interaction based on a streamline diffusion-type stabilization of the balance equations for mass and momentum for the entire continuum in the domain, which is implemented in the Unicorn/FEniCS software framework. A phase marker function and its corresponding transport equation are introduced to select the constitutive law, where the mesh tracks the discontinuous fluid-structure interface. This results in a unified simulation method for fluids and structures. We present detailed results for the benchmark problem compared with experiments, together with a mesh convergence study.

Improved cell therapy protocols for Parkinson's disease based on differentiation efficiency and safety of hESC-, hiPSC-, and non-human primate iPSC-derived dopaminergic neurons.

The main motor symptoms of Parkinson's disease are due to the loss of dopaminergic (DA) neurons in the ventral midbrain (VM). For the future treatment of Parkinson's disease with cell transplantation it is important to develop efficient differentiation methods for production of human iPSCs and hESCs-derived midbrain-type DA neurons. Here we describe an efficient differentiation and sorting strategy for DA neurons from both human ES/iPS cells and non-human primate iPSCs. The use of non-human primate iPSCs for neuronal differentiation and autologous transplantation is important for preclinical evaluation of safety and efficacy of stem cell-derived DA neurons. The aim of this study was to improve the safety of human- and non-human primate iPSC (PiPSC)-derived DA neurons. According to our results, NCAM(+) /CD29(low) sorting enriched VM DA neurons from pluripotent stem cell-derived neural cell populations. NCAM(+) /CD29(low) DA neurons were positive for FOXA2/TH and EN1/TH and this cell population had increased expression levels of FOXA2, LMX1A, TH, GIRK2, PITX3, EN1, NURR1 mRNA compared to unsorted neural cell populations. PiPSC-derived NCAM(+) /CD29(low) DA neurons were able to restore motor function of 6-hydroxydopamine (6-OHDA) lesioned rats 16 weeks after transplantation. The transplanted sorted cells also integrated in the rodent brain tissue, with robust TH+/hNCAM+ neuritic innervation of the host striatum. One year after autologous transplantation, the primate iPSC-derived neural cells survived in the striatum of one primate without any immunosuppression. These neural cell grafts contained FOXA2/TH-positive neurons in the graft site. This is an important proof of concept for the feasibility and safety of iPSC-derived cell transplantation therapies in the future.

CD23+ CD21(high) CD1d(high) B cells in inflamed lymph nodes are a locally differentiated population with increased antigen capture and activation potential.

CD23(+)CD21(high)CD1d(high) B cells in inflamed nodes (Bin cells) accumulate in the lymph nodes (LNs) draining inflamed joints of the TNF-α-transgenic mouse model of rheumatoid arthritis and are primarily involved in the significant histological and functional LN alterations that accompany disease exacerbation in this strain. In this study, we investigate the origin and function of Bin cells. We show that adoptively transferred GFP(+) sorted mature follicular B (FoB) cells home preferentially to inflamed LNs of TNF-α-transgenic mice where they rapidly differentiate into Bin cells, with a close correlation with the endogenous Bin fraction. Bin cells are also induced in wild-type LNs after immunization with T-dependent Ags and display a germinal center phenotype at higher rates compared with FoB cells. Furthermore, we show that Bin cells can capture and process Ag-immune complexes in a CD21-dependent manner more efficiently than can FoB cells, and they express greater levels of MHC class II and costimulatory Ags CD80 and CD86. We propose that Bin cells are a previously unrecognized inflammation-induced B cell population with increased Ag capture and activation potential, which may facilitate normal immune responses but may contribute to autoimmunity when chronic inflammation causes their accumulation and persistence in affected LNs.

Evidence of B cell immune responses to acute lymphoblastic leukemia in murine allogeneic hematopoietic stem cell transplantation recipients treated with donor lymphocyte infusion and/or vaccination.

These experiments explored mechanisms of control of acute lymphoblastic leukemia (ALL) following allogeneic hematopoietic stem cell transplantation using a murine model of MHC-matched, minor histocompatibility antigen-mismatched transplantation. The central hypothesis examined was that addition of active vaccination against leukemia cells would substantially increase the effectiveness of allogeneic donor lymphocyte infusion (DLI) against ALL present in the host after transplantation. Although vaccination did increase the magnitude of type I T cell responses against leukemia cells associated with DLI, it did not lead to substantial improvement in long-term survival. Analysis of immunologic mechanisms of leukemia progression demonstrated that the failure of vaccination was not because of antigen loss in leukemia cells. However, analysis of survival provided surprising findings that, in addition to very modest type I T cell responses, a B cell response that produced antibodies that bind leukemia cells was found in long-term survivors. The risk of death from leukemia was significantly lower in recipients that had higher levels of such antibodies. These studies raise the hypothesis that stimulation of B cell responses after transplantation may provide a novel way to enhance allogeneic graft-versus-leukemia effects associated with transplantation.

Acute lymphoblastic leukemia cells that survive combination chemotherapy in vivo remain sensitive to allogeneic immune effects.

Allogeneic hematopoietic stem cell transplantation is often performed for patients with acute lymphoblastic leukemia (ALL) whose disease has relapsed after chemotherapy treatment. However, graft versus leukemia (GVL) effects in ALL are generally weak and the mechanisms of this weakness are unknown. These studies tested the hypothesis that ALL cells that have survived conventional chemotherapy in vivo acquire relative resistance to the allogeneic GVL effect. C57BL/6 mice were injected with murine pre-B ALL lines driven by human mutations and then were treated with combination chemotherapy. ALL cells surviving therapy were analysed in vitro and in vivo for acquisition of resistance to chemotherapy, radiation, cytolytic T cells, NK cells, LAK cells and cytokines. In vivo drug treatment did lead to leukemia population with more rapid proliferation and also decreased sensitivity to vincristine, doxorubicin and radiation. However, drug treatment did not produce ALL populations that were less sensitive to GVL effects in vitro or in vivo.

Differential gene expression in acute lymphoblastic leukemia cells surviving allogeneic transplant.

The effectiveness of allogeneic graft-versus-leukemia (GVL) activity in control of acute lymphoblastic leukemia is generally regarded as poor. One possible factor is dynamic adaptation of the leukemia cell to the allogeneic environment. This work tested the hypothesis that the pattern of gene expression in acute lymphoblastic leukemia cells in an allogeneic environment would differ from that in a non-allogeneic environment. Expression microarray studies were performed in murine B lineage acute lymphoblastic leukemia cells recovered from mice that had undergone allogeneic MHC-matched but minor histocompatibility antigen mismatched transplants. A limited number of genes were found to be differentially expressed in ALL cells surviving in the allogeneic environment. Functional analysis demonstrated that genes related to immune processes, antigen presentation, ubiquitination and GTPase function were significantly enriched. Several genes with known immune activities potentially relevant to leukemia survival (Ly6a/Sca-1, TRAIL and H2-T23) were examined in independent validation experiments. Increased expression in vivo in allogeneic hosts was observed, and could be mimicked in vitro with soluble supernatants of mixed lymphocyte reactions or interferon-gamma. The changes in gene expression were reversible when the leukemia cells were removed from the allogeneic environment. These findings suggest that acute lymphoblastic leukemia cells respond to cytokines present after allogeneic transplantation and that these changes may reduce the effectiveness of GVL activity.

High-risk acute lymphoblastic leukemia cells with bcr-abl and INK4A/ARF mutations retain susceptibility to alloreactive T cells.

INK4A/ARF mutations are acquired in bcr/abl(+) lymphoid blast phase chronic myelogenous leukemia (CML) and bcr/abl(+) acute lymphoblastic leukemia (ALL). Donor lymphocyte infusion and graft-versus-leukemia (GVL) are generally ineffective in such ALLs, whereas GVL is highly active against bcr/abl(+) CML, which does not have a lesion in the INK4A/ARF locus. The mechanisms for the ineffectiveness of GVL are not fully known, and it is possible that intrinsic resistance of acute lymphoid leukemias to immune effectors associated with allogeneic GVL may contribute to ineffectiveness. This work tested the hypothesis that INK4A/ARF mutations that are associated with transformation of bcr/abl(+) CML to an ALL phenotype, and that are associated with increased resistance to apoptosis render ALL cells insensitive to allogeneic immune responses to minor histocompatibility antigens (mHA). Murine acute pre-B ALLs were induced by transfer of the human p210 bcr/abl gene into bone marrow of INK4A/ARF null mice. These ALL lines were then studied in a murine model of MHC-matched, mHA-mismatched allogeneic BMT. In vivo growth of these ALLs was inhibited in allogeneic transplants characterized by active allogeneic immune responses compared to their behavior in syngeneic transplants. In vitro ALLs with INK4A/ARF, p210 bcr/abl, or p190 bcr/abl mutations remained sensitive to anti-mHA cytolytic T cells. In addition, the ALLs were capable of inducing primary immune responses to mHAs in vivo. Thus, ALLs with INK4A/ARF or bcr/abl mutations are not intrinsically resistant to allogeneic T cell responses, suggesting that active immunotherapies against mHA have the potential to control such acute lymphoblastic leukemias.