Treatment of a malignant peripheral nerve sheath tumor by intravenous administration of combretastatin A4-phosphate in a dog

A fifteen-year-old, male, castrated American Staffordshire terrier was presented with a subcutaneous, ulcerated mass on the right carpal joint. Thoracic radiographs and abdominal ultrasound were both negative for metastatic disease. Punch biopsies revealed the histopathological diagnosis of a malignant peripheral nerve sheath tumor. Due to the extent of the primary mass, local excision was not possible, and amputation of the limb was not an option for the owner. The dog was treated with intravenous administration of combretastatin A4-phosphate, a vascular disrupting agent. A biopsy was taken before and after treatment and power-Doppler ultrasound and contrast-enhanced ultrasound were performed to assess pre- and posttreatment evaluation of the tumor vasculature. The treatment resulted in massive necrosis of the tumor

arf3DS4: An Integrated Framework for Localization and Connectivity Analysis of fMRI Data

In standard fMRI analysis all voxels are tested in a massive univariate approach, that is, each voxel is tested independently. This requires stringent corrections for multiple comparisons to control the number of false positive tests (i.e., marking voxels as active while they are actually not). As a result, fMRI analyses may suffer from low power to detect activation, especially in studies with high levels of noise in the data, for example developmental or single-subject studies. Activated region fitting (ARF) yields a solution by modeling fMRI data by multiple Gaussian shaped regions. ARF only requires a small number of parameters and therefore has increased power to detect activation. If required, the estimated regions can be directly used as regions of interest in a functional connectivity analysis. ARF is implemented in the R package arf3DS4. In this paper ARF and its implementation are described and illustrated with an example

From fecal microbiota transplantation toward next-generation beneficial microbes : The case of Anaerobutyricum soehngenii

The commensal gut microbiota is important for human health and well-being whereas deviations of the gut microbiota have been associated with a multitude of diseases. Restoration of a balanced and diverse microbiota by fecal microbiota transplantation (FMT) has emerged as a potential treatment strategy and promising tool to study causality of the microbiota in disease pathogenesis. However, FMT comes with logistical challenges and potential safety risks, such as the transfer of pathogenic microorganisms, undesired phenotypes or an increased risk of developing disease later in life. Therefore, a more controlled, personalized mixture of cultured beneficial microbes might prove a better alternative. Most of these beneficial microbes will be endogenous commensals to the host without a long history of safe and beneficial use and are therefore commonly referred to as next-generation probiotics (NGP) or live biotherapeutic products (LBP). Following a previous FMT study within our group, the commensal butyrate producer Anaerobutyricum spp. (previously named Eubacterium hallii) was found to be associated with improved insulin-sensitivity in subjects with the metabolic syndrome. After the preclinical testing with Anaerobutyricum soehngenii in mice models was completed, the strain was produced under controlled conditions and several clinical studies evaluating its safety and efficacy in humans were performed. Here, we describe and reflect on the development of A. soehngenii for clinical use, providing practical guidance for the development and testing of NGPs and reflecting on the current regulatory framework.Peer reviewe

How grass keeps growing : an integrated analysis of hormonal crosstalk in the maize leaf growth zone

We studied the maize leaf to understand how long-distance signals, auxin and cytokinin, control leaf growth dynamics. We constructed a mathematical model describing the transport of these hormones along the leaf growth zone and their interaction with the local gibberellin (GA) metabolism in the control of cell division. Assuming gradually declining auxin and cytokinin supply at the leaf base, the model generated spatiotemporal hormone distribution and growth patterns that matched experimental data. At the cellular level, the model predicted a basal leaf growth as a result of cell division driven by auxin and cytokinin. Superimposed on this, GA synthesis regulated growth through the control of the size of the region of active cell division. The predicted hormone and cell length distributions closely matched experimental data. To correctly predict the leaf growth profiles and final organ size of lines with reduced or elevated GA production, the model required a signal proportional to the size of the emerged part of the leaf that inhibited the basal leaf growth driven by auxin and cytokinin. Excision and shading of the emerged part of the growing leaf allowed us to demonstrate that this signal exists and depends on the perception of light intensity

Gut bacteriophage dynamics during fecal microbial transplantation in subjects with metabolic syndrome

Publisher Copyright: © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC.Metabolic Syndrome (MetS) is a growing public health concern worldwide. Individuals with MetS have an increased risk for cardiovascular (CV) disease and type 2 diabetes (T2D). These diseases–in part preventable with the treatment of MetS–increase the chances of premature death and pose a great economic burden to health systems. A healthy gut microbiota is associated with a reduction in MetS, T2D, and CV disease. Treatment of MetS with fecal microbiota transplantation (FMT) can be effective, however, its success rate is intermediate and difficult to predict. Because bacteriophages significantly affect the microbiota membership and function, the aim of this pilot study was to explore the dynamics of the gut bacteriophage community after FMT in MetS subjects. We performed a longitudinal study of stool bacteriophages from healthy donors and MetS subjects before and after FMT treatment. Subjects were assigned to either a control group (self-stool transplant, n = 3) or a treatment group (healthy-donor-stool transplant; n-recipients = 6, n-donors = 5). Stool samples were collected over an 18-week period and bacteriophage-like particles were purified and sequenced. We found that FMT from healthy donors significantly alters the gut bacteriophage community. Subjects with better clinical outcome clustered closer to the heathy donor group, suggesting that throughout the treatment, their bacteriophage community was more similar to healthy donors. Finally, we identified bacteriophage groups that could explain these differences and we examined their prevalence in individuals from a larger cohort of MetS FMT trial. Trial information- http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2705; NTR 2705.Peer reviewe

Oral treatment with Eubacterium hallii improves insulin sensitivity in db/db mice

F.B. is supported by Swedish Research Council, Swedish Diabetes Foundation, Swedish Heart Lung Foundation, Swedish Foundation for Strategic Research, Knut and Alice Wallenberg foundation, Göran Gustafsson Foundation, Ingbritt and Arne Lundberg’s foundation, Swedish Heart Lung Foundation, Torsten Söderberg’s Foundation, Ragnar Söderberg’s Foundation, NovoNordisk Foundation, AFA insurances, and LUA-ALF grants from Västra Götalandsregionen and Stockholm County Council. F.B. is a recipient of ERC Consolidator Grant (European Research Council, Consolidator grant 615362—METABASE). W.M.d.V. is supported by the Finland Academy of Sciences (grants 137389, 141140 and 1272870 ), the Netherlands Organization for Scientific Research (Spinoza Award and SIAM Gravity Grant 024.002.002) and the European Research Council (ERC Advanced Grant 250172 MicrobesInside). M.N. is supported by a ZONMW-VIDI grant 2013 (016.146.327).Peer reviewedPublisher PD

From fecal microbiota transplantation toward next-generation beneficial microbes: The case of Anaerobutyricum soehngenii

The commensal gut microbiota is important for human health and well-being whereas deviations of the gut microbiota have been associated with a multitude of diseases. Restoration of a balanced and diverse microbiota by fecal microbiota transplantation (FMT) has emerged as a potential treatment strategy and promising tool to study causality of the microbiota in disease pathogenesis. However, FMT comes with logistical challenges and potential safety risks, such as the transfer of pathogenic microorganisms, undesired phenotypes or an increased risk of developing disease later in life. Therefore, a more controlled, personalized mixture of cultured beneficial microbes might prove a better alternative. Most of these beneficial microbes will be endogenous commensals to the host without a long history of safe and beneficial use and are therefore commonly referred to as next-generation probiotics (NGP) or live biotherapeutic products (LBP). Following a previous FMT study within our group, the commensal butyrate producer Anaerobutyricum spp. (previously named Eubacterium hallii) was found to be associated with improved insulin-sensitivity in subjects with the metabolic syndrome. After the preclinical testing with Anaerobutyricum soehngenii in mice models was completed, the strain was produced under controlled conditions and several clinical studies evaluating its safety and efficacy in humans were performed. Here, we describe and reflect on the development of A. soehngenii for clinical use, providing practical guidance for the development and testing of NGPs and reflecting on the current regulatory framework

Liraglutide and sitagliptin have no effect on intestinal microbiota composition : A 12-week randomized placebo-controlled trial in adults with type 2 diabetes

Aim: Preclinical data suggest that treatment with either glucagon-like peptide (GLP)-1 receptor agonists or dipeptidyl peptidase (DPP)-4 inhibitors could change the intestinal microbiome and thereby contribute to their beneficial (cardio)metabolic effects. Therefore, our study aimed to investigate the effects of these agents on microbiota composition in adults with type 2 diabetes (T2D). Methods: A total of 51 adults with T2D (mean +/- SD: age 62.8 +/- 6.9 years, BMI 31.8 +/- 4.1 kg/m(2), HbA(1c) 7.3 +/- 0.6%) treated with metformin and/or sulphonylureas were included in the 12-week randomized, double-blind trial. Patients were given the GLP-1 receptor agonist liraglutide (1.8 mg sc) or the DPP-4 inhibitor sitagliptin (100 mg), or matching placebos, once daily for 12 weeks. Faecal samples were collected at baseline and at 12 weeks after the start of the intervention. Microbiota analyses were performed by 16S rRNA gene-sequencing analysis. Bile acids were measured in faeces and plasma. Results: Liraglutide decreased HbA(1c) by 1.3% (95% CI: -1.7 to -0.9) and tended to reduce body weight (-1.7 kg, 95% CI: -3.6 to 0.3), but increased faecal secondary bile acid deoxycholic acid. Sitagliptin lowered HbA(1c) by 0.8% (95% CI: -1.4 to -0.4) while body weight remained stable (-0.8 kg, 95% CI: -2.7 to 1.0), but increased faecal levels of cholic acid, chenodeoxycholic acid and ursodeoxycholic acid. However, neither liraglutide nor sitagliptin affected either alpha or beta diversity of the intestinal microbiota, nor were changes in microbial composition related to clinical parameters. Conclusion: These data suggest that the beneficial effects of liraglutide and sitagliptin on glucose metabolism, body weight and bile acids, when used as add-on therapies to metformin or sulphonylureas, are not linked to changes in the intestinal microbiota (NCT01744236). (C) 2021 The Authors. Published by Elsevier Masson SAS.Peer reviewe