Erratum: “Human lung-on-chips: Advanced systems for respiratory virus models and assessment of immune response” [Biomicrofluidics 15, 021501 (2021)]

It has been drawn to the authors’ attention that our original article1 did not appropriately attribute portions of a figure that we had reused from Ref. 2. The figure caption as it should have appeared follows. FIG. 2. (a) Schematic depicting human lung, (b) respiratory airways including the bronchioles and the alveolus, (c) gas exchange at the alveolar-capillary membrane of the alveolar sac, and (d) the distribution of the predominant cell types of the human lung. The images for (a) and (b) created by using the visuals in the SMART Servier Medical Art (https://smart.servier.com/) program licensed under a Creative Commons Attribution 3.0 Unported License. Images for (c) and (d) are reprinted with permission from P. Bajaj et al., ACS Biomater. Sci. Eng. 2, 473 (2016). Copyright 2016 American Chemical Society

Erratum: “Human lung-on-chips: Advanced systems for respiratory virus models and assessment of immune response” [Biomicrofluidics 15, 021501 (2021)]

It has been drawn to the authors’ attention that our original article1 did not appropriately attribute portions of a figure that we had reused from Ref. 2. The figure caption as it should have appeared follows. FIG. 2. (a) Schematic depicting human lung, (b) respiratory airways including the bronchioles and the alveolus, (c) gas exchange at the alveolar-capillary membrane of the alveolar sac, and (d) the distribution of the predominant cell types of the human lung. The images for (a) and (b) created by using the visuals in the SMART Servier Medical Art (https://smart.servier.com/) program licensed under a Creative Commons Attribution 3.0 Unported License. Images for (c) and (d) are reprinted with permission from P. Bajaj et al., ACS Biomater. Sci. Eng. 2, 473 (2016). Copyright 2016 American Chemical Society

Human lung-on-chips: Advanced systems for respiratory virus models and assessment of immune response

Respiratory viral infections are leading causes of death worldwide. A number of human respiratory viruses circulate in all age groups and adapt to person-to-person transmission. It is vital to understand how these viruses infect the host and how the host responds to prevent infection and onset of disease. Although animal models have been widely used to study disease states, incisive arguments related to poor prediction of patient responses have led to the development of microfluidic organ-on-chip models, which aim to recapitulate organ-level physiology. Over the past decade, human lung chips have been shown to mimic many aspects of the lung function and its complex microenvironment. In this review, we address immunological responses to viral infections and elaborate on human lung airway and alveolus chips reported to model respiratory viral infections and therapeutic interventions. Advances in the field will expedite the development of therapeutics and vaccines for human welfare

A foreign body response-on-a-chip platform

Understanding the foreign body response (FBR) and desiging strategies to modulate such a response represent a grand challenge for implant devices and biomaterials. Here, the development of a microfluidic platform is reported, i.e., the FBR?on?a?chip (FBROC) for modeling the cascade of events during immune cell response to implants. The platform models the native implant microenvironment where the implants are interfaced directly with surrounding tissues, as well as vasculature with circulating immune cells. The study demonstrates that the release of cytokines such as monocyte chemoattractant protein 1 (MCP?1) from the extracellular matrix (ECM)?like hydrogels in the bottom tissue chamber induces trans?endothelial migration of circulating monocytes in the vascular channel toward the hydrogels, thus mimicking implant?induced inflammation. Data using patient?derived peripheral blood mononuclear cells further reveal inter?patient differences in FBR, highlighting the potential of this platform for monitoring FBR in a personalized manner. The prototype FBROC platform provides an enabling strategy to interrogate FBR on various implants, including biomaterials and engineered tissue constructs, in a physiologically relevant and individual?specific manner

Advances in Glioblastoma Multiforme Treatment: New Models for Nanoparticle Therapy

The most lethal form of brain cancer, glioblastoma multiforme, is characterized by rapid growth and invasion facilitated by cell migration and degradation of the extracellular matrix. Despite technological advances in surgery and radio-chemotherapy, glioblastoma remains largely resistant to treatment. New approaches to study glioblastoma and to design optimized therapies are greatly needed. One such approach harnesses computational modeling to support the design and delivery of glioblastoma treatment. In this paper, we critically summarize current glioblastoma therapy, with a focus on emerging nanomedicine and therapies that capitalize on cell-specific signaling in glioblastoma. We follow this summary by discussing computational modeling approaches focused on optimizing these emerging nanotherapeutics for brain cancer. We conclude by illustrating how mathematical analysis can be used to compare the delivery of a high potential anticancer molecule, delphinidin, in both free and nanoparticle loaded forms across the blood-brain barrier for glioblastoma

Patenting trends in enzyme related microfluidic applications

WOS: 000344825400010The miniaturization of continuous processes has been of interest in the academia and industry which is reflected by the increase in scientific publications and patent disclosures in the last decade. The aim of this study was to evaluate the patenting trends regarding enzyme related microfluidic applications in order to observe the progress of science and technology. The mapped patents have been classified as "immobilization method", "biomolecule screening systems", "integrated process development" and "microreactor design". Half of the patent disclosures were filed by academia, whereas the other half was from industrial research which complies with the shift in microfluidics from academic and industrial research to commercial applications. Immobilization procedures carried out at room temperatures such as formulation of silica matrices using sol-gel technique, incorporation of novel hybrid materials, the integration of supercritical fluids and microfluidics, employing ionic liquids as wall-less microreactors, designing low cost, high performance microfluidic devices were the highlights which can pose challenges in various life science applications. The increasing trend is expected to continue and the presented state-of-the-art in enzyme related microfluidic applications have the potential to enhance industry's capabilities for designing innovative systems which would demonstrate significant economic, societal and environmental benefits. (C) 2014 Elsevier B.V. All rights reserved.TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113M050]The research fund provided by TUBITAK 113M050 project related to enzymatic reactions in microfluidic devices is highly appreciated

Mathematical modeling and mass transfer considerations in supercritical fluid extraction of Posidonia oceanica residues

WOS: 000325830700031Posidonia oceanica residues were extracted with supercritical CO2 in order to isolate phenolic compounds. The process was optimized by developing a mathematical model based on mass transfer mechanism consisting of adsorption of supercritical fluid on the solid particles, desorption of solute and convective transfer of solute phase along the column. Henry relation between solute concentrations on the surface of the solid (Cs) and in the solid (q) was approximated in order to describe the adsorption/desorption equilibrium. The model parameters such as solid-liquid film mass transfer coefficient (kf), molecular diffusivity coefficient (D-AB) and axial dispersion (D-ax) were estimated using empirical methods. The linear driving force model was applied to improve the yield of total phenolic acid recovery. The optimum parameters were elicited as 25 MPa, 323.15 K and a co-solvent mass ratio of 20% yielding 34.97 mu g per gram of dry feed and the model satisfactorily described the extraction yield which can be used for scale-up purposes. (C) 2013 Elsevier B.V. All rights reserved.Scientific and Technical Research Council of Turkey, TUBITAKTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [110M790]The research fund provided by the Scientific and Technical Research Council of Turkey, TUBITAK (110M790) is highly appreciated

Special Issue: Advances in Bioprocess Technology

WOS: 00034482540000

High-Yield Biocatalysis of Baicalein 7-O-beta-d-Glucuronide to Baicalein Using Soluble Helix pomatia-Derived beta-Glucuronidase in a Chemically Defined Acidic Medium

WOS: 000465575500021Baicalein, showing stronger pharmacological activity, can be obtained by removal of the distal glucuronic acid (GluA) from baicalein 7-O--D-glucuronide (baicalin). In the present study, a chemically defined reaction medium comprised of mildly acidic (pH 4.5, 37 degrees C) aqueous solution, was formulated for biotransformation of baicalin to baicalein using acidic Helix pomatia derived beta-glucuronidase (HP-GUS), an untested biocatalyst source. The biotransformation was carried out as a batchwise process within an optimised reaction cocktail (with 5% dimethylformamide, v/v) by a 4-h HP-GUS (250 unit/ml) incubation of baicalin (60ppm) and resulted in a promising conversion ratio of 99% without any by-product formation. The formulated reaction system may offer a novel and efficient alternative for bioproduction of baicalein, which can be vital for pharmaceutical applications. [GRAPHICS] .Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [113M050]The financial support provided by the Scientific and Technological Research Council of Turkey (TUBITAK, 113M050) is highly appreciated. Special thanks to Dr Ismail Hakki Akgun from Ege University Bioengineering Department for his guidanceas toUPLC analysis of the reaction samples