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      Human umbilical cord-derived mesenchymal stem cells ameliorate experimental colitis by normalizing the gut microbiota

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          Abstract

          Background

          Crohn's disease (CD) is a chronic non-specific inflammatory bowel disease. Current CD therapeutics cannot fundamentally change the natural course of CD. Therefore, it is of great significance to find new treatment strategies for CD. Preclinical and clinical studies have shown that mesenchymal stromal cells (MSCs) are a promising therapeutic approach. However, the mechanism by which MSCs alleviate CD and how MSCs affect gut microbes are still unclear and need further elucidation.

          Methods

          We used 2,4,6-trinitrobenzenesulfonic acid (TNBS) to induce experimental colitis in mice and analysed the microbiota in faecal samples from the control group, the TNBS group and the TNBS + MSC group with faecal 16S rDNA sequencing. Subsequent analyses of alpha and beta diversity were all performed based on the rarified data. PICRUStII analysis was performed on the 16S rRNA gene sequences to infer the gut microbiome functions.

          Results

          MSC Treatment improved TNBS-induced colitis by increasing survival rates and relieving symptoms. A distinct bacterial signature was found in the TNBS group that differed from the TNBS + MSC group and controls. MSCs prevented gut microbiota dysbiosis, including increasing α-diversity and the amount of Bacteroidetes Firmicutes and Tenericutes at the phylum level and decreasing the amount of Proteobacteria at the phylum level. MSCs alleviated the increased activities of sulphur and riboflavin metabolism. Meanwhile some metabolic pathways such as biosynthesis of amino acids lysine biosynthesis sphingolipid metabolism and secondary bile acid biosynthesis were decreased in the TNBS group compared with the control group and the TNBS + MSC group

          Conclusions

          Overall, our findings preliminarily confirmed that colitis in mice is closely related to microbial and metabolic dysbiosis. MSC treatment could modulate the dysregulated metabolism pathways in mice with colitis, restoring the abnormal microbiota function to that of the normal control group. This study provides insight into specific intestinal microbiota and metabolism pathways linked with MSC treatment, suggesting a new approach to the treatment of CD.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13287-022-03118-1.

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          Most cited references55

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          fastp: an ultra-fast all-in-one FASTQ preprocessor

          Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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            FLASH: fast length adjustment of short reads to improve genome assemblies.

            Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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              UPARSE: highly accurate OTU sequences from microbial amplicon reads.

              Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification artifacts. The UPARSE pipeline reports operational taxonomic unit (OTU) sequences with ≤1% incorrect bases in artificial microbial community tests, compared with >3% incorrect bases commonly reported by other methods. The improved accuracy results in far fewer OTUs, consistently closer to the expected number of species in a community.
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                Author and article information

                Contributors
                zhangq27@mail.sysu.edu.cn
                zxgks@163.com
                chenwj5@mail.sysu.edu.cn
                Journal
                Stem Cell Res Ther
                Stem Cell Res Ther
                Stem Cell Research & Therapy
                BioMed Central (London )
                1757-6512
                14 September 2022
                14 September 2022
                2022
                : 13
                : 475
                Affiliations
                [1 ]GRID grid.13394.3c, ISNI 0000 0004 1799 3993, Postdoctoral Research Station, Xinjiang Medical University, ; No. 567 North Shangde Road, Ürümqi, 830018 China
                [2 ]Department of Infectious Diseases, The First People’s Hospital of Kashi, The Affiliated Kashi Hospital of Sun Yat-Sen University, 66 Yingbin Road, Kashi, 844000 China
                [3 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, Biotherapy Centre, The Third Affiliated Hospital, , Sun Yat-Sen University, ; 600# Tianhe Road, Guangzhou, 510630 China
                [4 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, Cell-Gene Therapy Translational Medicine Research Centre, The Third Affiliated Hospital, , Sun Yat-Sen University, ; 600# Tianhe Road, Guangzhou, 510630 China
                [5 ]Department of Respiratory and Critical Care Medicine, The First People’s Hospital of Kashi, The Affiliated Kashi Hospital of Sun Yat-Sen University, 66 Yingbin Road, Kashi, 844000 China
                [6 ]GRID grid.12981.33, ISNI 0000 0001 2360 039X, Department of Hepatobiliary and Pancreatic Surgery, The Eighth Affiliated Hospital, , Sun Yat-Sen University, ; Shennan Zhong Road #3025, Futian District, Shenzhen, 518033 Guangdong China
                Author information
                http://orcid.org/0000-0003-1659-4918
                Article
                3118
                10.1186/s13287-022-03118-1
                9476645
                36104756
                4aa99723-2ba2-4759-ace1-23e506ff153f
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 May 2022
                : 4 August 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100010031, Postdoctoral Research Foundation of China;
                Award ID: 2019M653904XB
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100015310, Natural Science Foundation of Xinjiang;
                Award ID: project funded by China Postdoctoral Science Foundation
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100017444, Science Fund for Distinguished Young Scholars of Xinjiang Autonomous Region;
                Award ID: 2018XS23
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003785, Guangdong Medical Research Foundation;
                Award ID: 2018YJ007
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100009110, Natural Science Foundation of Xinjiang Province;
                Award ID: SKL-HIDCA-2020-10
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81870449
                Award ID: 82170674
                Award ID: 51933011
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Molecular medicine
                mesenchymal stem cells,crohn's disease,tnbs,16s rrna gene sequences,gut microbiota,metabolism

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