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      A sporadic Alzheimer's blood-brain barrier model for developing ultrasound-mediated delivery of Aducanumab and anti-Tau antibodies

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          Abstract

          Rationale: The blood-brain barrier (BBB) is a major impediment to therapeutic intracranial drug delivery for the treatment of neurodegenerative diseases, including Alzheimer's disease (AD). Focused ultrasound applied together with microbubbles (FUS +MB) is a novel technique to transiently open the BBB and increase drug delivery. Evidence suggests that FUS +MB is safe, however, the effects of FUS +MB on human BBB cells, especially in the context of AD, remain sparsely investigated. In addition, there currently are no cell platforms to test for FUS +MB-mediated drug delivery.

          Methods: Here we generated BBB cells (induced brain endothelial-like cells (iBECs) and astrocytes (iAstrocytes)) from apolipoprotein E gene allele E4 ( APOE4, high sporadic AD risk) and allele E3 ( APOE3, lower AD risk) carrying patient-derived induced pluripotent stem cells (iPSCs). We established mono- and co-culture models of human sporadic AD and control BBB cells to investigate the effects of FUS +MB on BBB cell phenotype and to screen for the delivery of two potentially therapeutic AD antibodies, an Aducanumab-analogue (Aduhelm TM; anti-amyloid-β) and a novel anti-Tau antibody, RNF5. We then developed a novel hydrogel-based 2.5D BBB model as a step towards a more physiologically relevant FUS +MB drug delivery platform.

          Results: When compared to untreated cells, the delivery of Aducanumab-analogue and RNF5 was significantly increased (up to 1.73 fold), across the Transwell-based BBB models following FUS +MB treatment. Our results also demonstrated the safety of FUS +MB indicated by minimal changes in iBEC transcriptome as well as little or no changes in iBEC or iAstrocyte viability and inflammatory responses within the first 24 h post FUS +MB. Furthermore, we demonstrated successful iBEC barrier formation in our novel 2.5D hydrogel-based BBB model with significantly increased delivery (1.4 fold) of Aducanumab-analogue following FUS +MB.

          Conclusion: Our results demonstrate a robust and reproducible approach to utilize patient cells for FUS +MB-mediated drug delivery screening in vitro. With such a cell platform for FUS +MB research previously not reported, it has the potential to identify novel FUS +MB-deliverable drugs as well as screen for cell- and patient-specific effects of FUS +MB, accelerating the use of FUS +MB as a therapeutic modality in AD.

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          Most cited references91

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          STAR: ultrafast universal RNA-seq aligner.

          Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
            • Record: found
            • Abstract: found
            • Article: not found

            clusterProfiler: an R package for comparing biological themes among gene clusters.

            Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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              Is Open Access

              edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

              Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au

                Author and article information

                Journal
                Theranostics
                Theranostics
                thno
                Theranostics
                Ivyspring International Publisher (Sydney )
                1838-7640
                2022
                25 September 2022
                : 12
                : 16
                : 6826-6847
                Affiliations
                [1 ]Cell & Molecular Biology Department, Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute; Brisbane, QLD, Australia.
                [2 ]Faculty of Medicine, The University of Queensland; Brisbane, QLD, Australia.
                [3 ]Genetics & Computational Biology Department, QIMR Berghofer Medical Research Institute; Brisbane, QLD, Australia.
                [4 ]Department of Anatomy and Physiology, The University of Melbourne; Parkville, VIC, Australia.
                [5 ]Clem Jones Centre for Ageing Dementia Research, Queensland Brain Institute, The University of Queensland; Brisbane, QLD, Australia.
                [6 ]The Florey Institute of Neuroscience and Mental Health; Parkville, VIC, Australia.
                [7 ]Department of Surgery, Royal Melbourne Hospital, The University of Melbourne; Parkville, VIC, Australia.
                [8 ]School of Biomedical Sciences, Faculty of Medicine, The University of Queensland; Brisbane, QLD, Australia.
                Author notes
                ✉ Corresponding author: E-mail: Lotta.Oikari@ 123456qimrberghofer.edu.au .

                *These authors contributed equally to this work.

                #Now located at: School of Mechanical, Medical and Process Engineering, Queensland University of Technology; Brisbane, QLD, Australia.

                Competing Interests: The authors have declared that no competing interest exists.

                Article
                thnov12p6826
                10.7150/thno.72685
                9576609
                36276649
                dac335c3-a46d-4333-b574-d1506f89094e
                © The author(s)

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.

                History
                : 7 March 2022
                : 20 August 2022
                Categories
                Research Paper

                Molecular medicine
                alzheimer's disease,blood-brain barrier,focused ultrasound,drug delivery,aduhelm

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