Worldwide Enucleation Techniques and Materials for Treatment of Retinoblastoma: An International Survey

Purpose

To investigate the current practice of enucleation with or without orbital implant for retinoblastoma in countries across the world.

Methods

A digital survey identifying operation techniques and material used for orbital implants after enucleation in patients with retinoblastoma.

Results

We received a response of 58 surgeons in 32 different countries. A primary artificial implant is routinely inserted by 42 (72.4%) surgeons. Ten (17.2%) surgeons leave the socket empty, three (5.2%) decide per case. Other surgeons insert a dermis fat graft as a standard primary implant (n=1), or fill the socket in a standard secondary procedure (n=2; one uses dermis fat grafts and one artificial implants). The choice for porous implants was more frequent than for non-porous implants: 27 (58.7%) and 15 (32.6%), respectively. Both porous and non-porous implant types are used by 4 (8.7%) surgeons. Twenty-five surgeons (54.3%) insert bare implants, 11 (23.9%) use separate wrappings, eight (17.4%) use implants with prefab wrapping and two insert implants with and without wrapping depending on type of implant. Attachment of the muscles to the wrapping or implant (at various locations) is done by 31 (53.4%) surgeons. Eleven (19.0%) use a myoconjunctival technique, nine (15.5%) suture the muscles to each other and seven (12.1%) do not reattach the muscles. Measures to improve volume are implant exchange at an older age (n=4), the use of Restylane SQ (n=1) and osmotic expanders (n=1). Pegging is done by two surgeons.

Conclusion

No (worldwide) consensus exists about the use of material and techniques for enucleation for the treatment of retinoblastoma. Considerations for the use of different techniques are discussed.     

Song discrimination learning in zebra finches induces highly divergent responses to novel songs

Perceptual biases can shape the evolution of signal form. Understanding the origin and direction of such biases is therefore crucial for understanding signal evolution. Many animals learn about species-specific signals. Discrimination learning using simple stimuli varying in one dimension (e.g. amplitude, wavelength) can result in perceptual biases with preferences for specific novel stimuli, depending on the stimulus dimensions. We examine how this translates to discrimination learning involving complex communication signals; birdsongs. Zebra finches (Taeniopygia guttata) were trained to discriminate between two artificial songs, using a Go/No-Go procedure. The training songs in experiment 1 differed in the number of repeats of a particular element. The songs in experiment 2 differed in the position of an odd element in a series of repeated elements. We examined generalization patterns by presenting novel songs with more or fewer repeated elements (experiment 1), or with the odd element earlier or later in the repeated element sequence (experiment 2). Control birds were trained with only one song. The generalization curves obtained from (i) control birds, (ii) experimental birds in experiment 1, and (iii) experimental birds in experiment 2 showed large and systematic differences from each other. Birds in experiment 1, but not 2, responded more strongly to specific novel songs than to training songs, showing 'peak shift'. The outcome indicates that learning about communication signals may give rise to perceptual biases that may drive signal evolution.     

Dynamics of phytoplankton detritus in a shallow,eutrophic lake (Lake Loosdrecht,The Netherlands)

A study was made of the mortality and aerobic decomposition of light- and phosphorus-limited cultures of Oscillatoria limnetica, a dominant phytoplankton species in shallow, eutrophic Lake Loosdrecht (The Netherlands). When placed in the dark at 20 °C, most cells died and lysed within twelve days. The labile organic matter was completely decomposed within three weeks. Absorbance spectra indicated that blue green algae may contributed significantly to the refractory dissolved substances in the lake. Refractory particulate matter constituted from 7 to 24% of the biomass of O. limnetica, depending on the growth rate before incubation in the dark. The decomposition rate of this fraction was 0.005 d^–1. On a basis of a steady-state model of the dynamics of phytoplankton detritus, the areal organic dry weight concentration of the detritus in the lake is ca. 60 g m^–2. This means the quantities of detritus in the seston and epipelon are about equal.     

Age-dependent HLA profiles of the Israeli population: impact on hematopoietic cell donor recruitment and availability

Approximately three million people have immigrated to the state of Israel since it was founded. Consequently, the immunogenetic profile of the younger generation may consist of a genetic mixture of formerly distinct population groups. We aimed to investigate whether HLA profiles in the Israeli population are age dependent and how this influences representation of various age groups in local donor registries. We determined HLA-A*, HLA-B*, and HLA-DRB1* low-resolution phenotypes of three age groups (n?=?4,169 in each): (1) cord blood units collected between 2009 and 2013 (BABIES) and adult registry donors (2) aged 18–28 years (YOUNG) and (3) aged 49–60 years (OLD). We compared the results with virtual groups that simulate the offspring of the actual study groups. None of the three actual age groups were in Hardy-Weinberg equilibrium. The YOUNG presented four HLA-B alleles that were absent in the OLD and BABIES. A significantly higher percentage among the OLD and BABIES had a “matched” individual within their group in comparison to the YOUNG. In the YOUNG, the 10 most common haplotypes account for 16.7 % of the population, in comparison to 18.2 % in the OLD or 19.8 % in the BABIES group. The BABIES group was genetically remote from all other groups. Further disparities were found between the actual and the corresponding virtual groups. We conclude that discrete age groups in Israel present distinct immunogenetic profiles, where the younger generation is more heterogeneous. The population dynamics of the age-dependent HLA profile is multifactorial: gradual intersubgroup admixture, nonrandom mating, and entry of new alleles.     

Meat,dairy, and more: Analysis of material,energy, and greenhouse gas flows of the meat and dairy supply chains in the EU28 for 2016

To decarbonize the European Union, protein consumption must transition to diets low in meat and dairy which will drastically change the material and energy flows in current meat and dairy supply chains. To understand the impacts on current flows, a baseline is required. Although recent studies have improved the scope of reported greenhouse gas (GHG) emissions, no quantitative overview exists including intermediate and final product flows. To address this knowledge gap, we structured the meat and dairy supply chains into a connected set of transformation nodes and distribution nodes. The former are processes transforming inputs into outputs, whereas the latter distribute the outputs to other processes using them as inputs. Currently, livestock play a central role in agriculture and other industries through the consumption of 271 Mt fodder crops, 108 Mt grain, 85 Mt grazed biomass, 49 Mt oil meal, and 16 Mt feed by‐products. This feed is transformed into 64 Mt dairy and 35 Mt meat which ensures that the EU28 is a net exporter of meat and dairy while providing 25 Mt of by‐products. This production also leads to 435 Mt CO₂‐eq. with the main contribution from beef cattle (35%), dairy cattle (32%), and swine (20%). Thus, the lower GHG intensities of dairy products compared to meat do not imply a low contribution to the total emissions. By mapping the material, energy, and GHG emission flows, we have created a baseline suitable for identifying potential supply chain changes and their related GHG increase or decrease resulting from the protein transition.     

Delta-9-Tetrahydrocannabinol-Induced Dopamine Release as a Function of Psychosis Risk: 18F-Fallypride Positron Emission Tomography Study

Cannabis use is associated with psychosis, particularly in those with expression of, or vulnerability for, psychotic illness. The biological underpinnings of these differential associations, however, remain largely unknown. We used Positron Emission Tomography and ¹⁸F-fallypride to test the hypothesis that genetic risk for psychosis is expressed by differential induction of dopamine release by Δ⁹-THC (delta-9-tetrahydrocannabinol, the main psychoactive ingredient of cannabis). In a single dynamic PET scanning session, striatal dopamine release after pulmonary administration of Δ⁹-THC was measured in 9 healthy cannabis users (average risk psychotic disorder), 8 patients with psychotic disorder (high risk psychotic disorder) and 7 un-related first-degree relatives (intermediate risk psychotic disorder). PET data were analyzed applying the linear extension of the simplified reference region model (LSRRM), which accounts for time-dependent changes in ¹⁸F-fallypride displacement. Voxel-based statistical maps, representing specific D_2/3 binding changes, were computed to localize areas with increased ligand displacement after Δ⁹-THC administration, reflecting dopamine release. While Δ⁹-THC was not associated with dopamine release in the control group, significant ligand displacement induced by Δ⁹-THC in striatal subregions, indicative of dopamine release, was detected in both patients and relatives. This was most pronounced in caudate nucleus. This is the first study to demonstrate differential sensitivity to Δ⁹-THC in terms of increased endogenous dopamine release in individuals at risk for psychosis.     

Unraveling the human dendritic cell phagosome proteome by organellar enrichment ranking

Dendritic cells (DC) take up pathogens through phagocytosis and process them into protein and lipid fragments for presentation to T cells. So far, the proteome of the human DC phagosome, a detrimental compartment for antigen processing and presentation as well as for DC activation, remains largely uncharacterized. Here we have analyzed the protein composition of phagosomes from human monocyte-derived DC. For LC-MS/MS analysis we purified phagosomes from DC using latex beads targeted to DC-SIGN, and quantified proteins using a label-free method. We used organellar enrichment ranking (OER) to select proteins with a high potential to be relevant for phagosome function. The method compares phagosome protein abundance with protein abundance in whole DC. Phagosome enrichment indicates specific recruitment to the phagosome rather than co-purification or passive incorporation. Using OER we extracted the most enriched proteins that we further complemented with functionally associated proteins to define a set of 90 phagosomal proteins that included many proteins with established relevance on DC phagosomes as well as high potential novel candidates. We already experimentally confirmed phagosomal recruitment of Galectin-9, which has not been previously associated with phagocytosis, to both bead and pathogen containing phagosomes, suggesting a role for Galectin-9 in DC phagocytosis.     

A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters

A chlorophyll (Chl) a retrieval algorithm, originally developedfor spectral subsurface irradiance reflectance determined fromabove-water shipboard measurements, was adapted for use withsatellite imagery to be acquired by the MERIS (Medium ResolutionImaging Spectrometer) instrument. This MERIS algorithm was calibratedfor Chl a concentrations in the range 3–185 mg m^-3 usingspectral reflectance calculated from shipboard measurementson the IJssel Lagoon (The Netherlands). Next, the algorithmwas validated for various inland and coastal waters coveringthis concentration range. Despite the lower spectral resolutionof MERIS as compared to the shipboard spectroradiometer, thestandard error of estimate is expected to be similar, i.e.     

Heme oxygenase-1 prevents smoke induced B-cell infiltrates: a role for regulatory T cells?

Background

Smoking is the most important cause for the development of COPD. Since not all smokers develop COPD, it is obvious that other factors must be involved in disease development. We hypothesize that heme oxygenase-1 (HO-1), a protective enzyme against oxidative stress and inflammation, is insufficiently upregulated in COPD.The effects of HO-1 modulation on cigarette smoke induced inflammation and emphysema were tested in a smoking mouse model.

Methods

Mice were either exposed or sham exposed to cigarette smoke exposure for 20 weeks. Cobalt protoporphyrin or tin protoporphyrin was injected during this period to induce or inhibit HO-1 activity, respectively. Afterwards, emphysema development, levels of inflammatory cells and cytokines, and the presence of B-cell infiltrates in lung tissue were analyzed.

Results

Smoke exposure induced emphysema and increased the numbers of inflammatory cells and numbers of B-cell infiltrates, as well as the levels of inflammatory cytokines in lung tissue. HO-1 modulation had no effects on smoke induced emphysema development, or the increases in neutrophils and macrophages and inflammatory cytokines. Interestingly, HO-1 induction prevented the development of smoke induced B-cell infiltrates and increased the levels of CD4⁺CD25⁺ T cells and Foxp3 positive cells in the lungs. Additionally, the CD4⁺CD25⁺ T cells correlated positively with the number of Foxp3 positive cells in lung tissue, indicating that these cells were regulatory T cells.

Conclusion

These results support the concept that HO-1 expression influences regulatory T cells and indicates that this mechanism is involved in the suppression of smoke induced B-cell infiltrates. The translation of this interaction to human COPD should now be pursued.