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      Reiterative infusions of MSCs improve pediatric osteogenesis imperfecta eliciting a pro‐osteogenic paracrine response: TERCELOI clinical trial

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          Abstract

          Background

          Osteogenesis imperfecta (OI) is a rare genetic disease characterized by bone fragility, with a wide range in the severity of clinical manifestations. The majority of cases are due to mutations in the COL1A1 or COL1A2 genes, which encode type I collagen. Mesenchymal stem cells (MSCs), as the progenitors of the osteoblasts, the main type I collagen secreting cell type in the bone, have been proposed and tested as an innovative therapy for OI with promising but transient outcomes.

          Methods

          To overcome the short‐term effect of MSCs therapy, we performed a phase I clinical trial based on reiterative infusions of histocompatible MSCs, administered in a 2.5‐year period, in two pediatric patients affected by severe and moderate OI. The aim of this study was to assess the safety and effectiveness of this cell therapy in nonimmunosuppressed OI patients. The host response to MSCs was studied by analyzing the sera from OI patients, collected before, during, and after the cell therapy.

          Results

          We first demonstrated that the sequential administration of MSCs was safe and improved the bone parameters and quality of life of OI patients along the cell treatment plus 2‐year follow‐up period. Moreover, the study of the mechanism of action indicated that MSCs therapy elicited a pro‐osteogenic paracrine response in patients, especially noticeable in the patient affected by severe OI.

          Conclusions

          Our results demonstrate the feasibility and potential of reiterative MSCs infusion for two pediatric OI and highlight the paracrine response shown by patients as a consequence of MSCs treatment.

          Abstract

          TERCELOI clinical trial addresses fundamental issues concerning the feasibility, security and potential of 5 MSCs infusions in two non immunosuppressed Osteogenesis Imperfecta pediatric patients. This trial allowed us to elucidate the mechanism of action of MSCs therapy, characterized by a pro‐osteogenic paracrine response. For that, we studied the protein and miRNA levels in sera from patients (collected before, along and after the cell treatment) besides unraveling the transcriptomic alterations due to those sera presence, and demonstrating their functional capabilities.

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          Most cited references64

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          The Sequence Alignment/Map format and SAMtools

          Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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            BEDTools: a flexible suite of utilities for comparing genomic features

            Motivation: Testing for correlations between different sets of genomic features is a fundamental task in genomics research. However, searching for overlaps between features with existing web-based methods is complicated by the massive datasets that are routinely produced with current sequencing technologies. Fast and flexible tools are therefore required to ask complex questions of these data in an efficient manner. Results: This article introduces a new software suite for the comparison, manipulation and annotation of genomic features in Browser Extensible Data (BED) and General Feature Format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets. Availability and implementation: BEDTools was written in C++. Source code and a comprehensive user manual are freely available at http://code.google.com/p/bedtools Contact: aaronquinlan@gmail.com; imh4y@virginia.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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              HTSeq—a Python framework to work with high-throughput sequencing data

              Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard workflows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid development of such scripts. HTSeq offers parsers for many common data formats in HTS projects, as well as classes to represent data, such as genomic coordinates, sequences, sequencing reads, alignments, gene model information and variant calls, and provides data structures that allow for querying via genomic coordinates. We also present htseq-count, a tool developed with HTSeq that preprocesses RNA-Seq data for differential expression analysis by counting the overlap of reads with genes. Availability and implementation: HTSeq is released as an open-source software under the GNU General Public Licence and available from http://www-huber.embl.de/HTSeq or from the Python Package Index at https://pypi.python.org/pypi/HTSeq. Contact: sanders@fs.tum.de
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                Author and article information

                Contributors
                cirodriguez@osakidetza.eus
                Journal
                Clin Transl Med
                Clin Transl Med
                10.1002/(ISSN)2001-1326
                CTM2
                Clinical and Translational Medicine
                John Wiley and Sons Inc. (Hoboken )
                2001-1326
                13 January 2021
                January 2021
                : 11
                : 1 ( doiID: 10.1002/ctm2.v11.1 )
                : e265
                Affiliations
                [ 1 ] Stem Cells and Cell Therapy Laboratory Biocruces Bizkaia Health Research Institute Cruces University Hospital Barakaldo Spain
                [ 2 ] Service of Genetics Cruces University Hospital Barakaldo Spain
                [ 3 ] Department of Pediatrics Biocruces Bizkaia Health Research Institute Cruces University Hospital Barakaldo Spain
                [ 4 ] Department of Biochemistry, Immunology Unit Cruces University Hospital Barakaldo Spain
                [ 5 ] Department of Pediatric Hematology, Oncology and Stem Cells Niño Jesús University Children´s Hospital Madrid Spain
                [ 6 ] Department of Orthopedic Surgery Getafe University Hospital Madrid Spain
                [ 7 ] Department of Endocrinology Getafe University Hospital Madrid Spain
                [ 8 ] Computational Biology and Systems Biomedicine Research Group Biodonostia Health Research Institute Donostia Spain
                [ 9 ] Department of Pediatrics Basque Country University UPV/EHU Leioa Spain
                Author notes
                [*] [* ] Correspondence

                Clara I. Rodríguez, Stem Cells and Cell Therapy Laboratory, Biocruces Bizkaia Health Research Institute, Cruces University Hospital, Barakaldo 48903, Spain.

                Email: cirodriguez@ 123456osakidetza.eus

                Author information
                https://orcid.org/0000-0002-1625-2865
                https://orcid.org/0000-0001-8945-812X
                https://orcid.org/0000-0001-5576-1227
                https://orcid.org/0000-0003-4599-6414
                https://orcid.org/0000-0003-0671-4277
                https://orcid.org/0000-0002-3264-464X
                https://orcid.org/0000-0002-6749-6288
                Article
                CTM2265
                10.1002/ctm2.265
                7805402
                33463067
                e92847db-467b-4530-bf08-7b9e50cb07a5
                © 2021 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 September 2020
                : 04 December 2020
                : 07 December 2020
                Page count
                Figures: 8, Tables: 0, Pages: 22, Words: 11854
                Funding
                Funded by: Spanish Ministry of Health
                Award ID: EC10‐219
                Funded by: Instituto de Salud Carlos III , open-funder-registry 10.13039/501100004587;
                Award ID: PI15/00820
                Funded by: Bioef‐EiTB maratoia
                Award ID: BIO14/TP/007
                Funded by: AHUCE Foundation
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                January 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:13.01.2021

                Medicine
                cell therapy,mesenchymal stem cell,paracrine mechanism of action,regenerative medicine

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