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      Structural changes in the gut virome of patients with atherosclerotic cardiovascular disease

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          ABSTRACT

          The gut microbiota is an important risk factor and therapeutic target in atherosclerotic cardiovascular disease (ACVD), a leading cause of morbidity and mortality worldwide. However, alterations in the gut viral community and its contribution to ACVD have rarely been investigated. In this study, we characterized and compared the gut viromes from the fecal metagenomes of 214 patients with ACVD and 171 healthy individuals using a reference-dependent virome approach. We revealed that ACVD patients exhibited a significant increase in viral richness at the family level and a visible alteration in overall virome structure regardless of host sex, age, or body mass index. At the viral operational taxonomic unit (vOTU) level, we identified 105 vOTUs that significantly increased in abundance in ACVD patients and 60 vOTUs that increased in abundance in healthy controls. A majority (43.8%) of the ACVD-enriched vOTUs were predicted to infect Streptococcaceae, Lachnospiraceae, Ruminococcaceae, and Enterobacteriaceae, and Streptococcaceae had tight correlations with the corresponding gut bacterial species, whereas a considerable proportion (35.0%) of the control-enriched vOTUs were Bacteroidaceae, Burkholderiaceae, and Lachnospiraceae phages. Functional analyses revealed five viral auxiliary metabolic genes that differed in frequency between ACVD-enriched and control-enriched vOTUs. Moreover, we identified gut viral signatures for ACVD discrimination and achieved an optimal area under the receiver operator characteristic curve of 0.878 for distinguishing patients from healthy controls. Our results provide a comprehensive view of the ACVD gut virome, which may contribute to the development of novel diagnostic and therapeutic strategies for ACVD and additional relevant cardiovascular diseases.

          IMPORTANCE

          Existing studies have found that there is a close relationship between human virome and numerous diseases, and diseases may affect the diversity and composition of the virome; at the same time, changes in the virome will in turn affect the onset and progression of the disease. However, the composition and functional capabilities of the gut virome associated with atherosclerotic cardiovascular disease (ACVD) have not been systematically investigated. To our knowledge, this is the first study investigating the gut virome in patients with ACVD. We characterized the structural changes in the gut virome of ACVD patients, which may facilitate additional mechanistic, diagnostic, and interventional studies of ACVD and related diseases.

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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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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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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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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review and editing
                Role: Editor
                Journal
                Microbiol Spectr
                Microbiol Spectr
                spectrum
                Microbiology Spectrum
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2165-0497
                January 2024
                05 December 2023
                05 December 2023
                : 12
                : 1
                : e01050-23
                Affiliations
                [1 ] Department of Peripheral Vascular Diseases II, Dongzhimen Hospital, Beijing University of Chinese Medicine; , Beijing, China
                [2 ] School of Traditional Chinese Medicine, Beijing University of Chinese Medicine; , Beijing, China
                [3 ] Puensum Genetech Institute; , Wuhan, China
                [4 ] Department of Traditional Chinese Medicine, Beijing Friendship Hospital, Capital Medical University; , Beijing, China
                [5 ] Department of Acupuncture and Moxibustion, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Key Laboratory of Acupuncture Neuromodulation; , Beijing, China
                [6 ] Key Laboratory of Health Cultivation of the Ministry of Education, Beijing University of Chinese Medicine; , Beijing, China
                [7 ] Beijing Key Laboratory of Health Cultivation, Beijing University of Chinese Medicine; , Beijing, China
                University of California San Diego; , La Jolla, California, USA
                Author notes
                Address correspondence to Wen Sun, sunwen@ 123456bucm.edu.cn

                Youshan Li, Jie Ma, and Jinxin Meng contributed equally to this article. The author order was determined based on their contributions to obtaining funding.

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0003-1071-8510
                https://orcid.org/0009-0002-3624-5870
                Article
                01050-23 spectrum.01050-23
                10.1128/spectrum.01050-23
                10782949
                38051048
                150137fa-4a07-466d-9142-4dbd09204a79
                Copyright © 2023 Li et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 23 March 2023
                : 31 October 2023
                Page count
                supplementary-material: 4, authors: 10, Figures: 5, References: 56, Pages: 13, Words: 7833
                Funding
                Funded by: Beijing University of Chinese Medicine (BUCM);
                Award ID: 2180072120049
                Award Recipient :
                Funded by: MOST | National Natural Science Foundation of China (NSFC);
                Award ID: 81973849
                Award Recipient :
                Categories
                Research Article
                virology, Virology
                Custom metadata
                January 2024

                gut virome,atherosclerotic cardiovascular disease,viral function,viral auxiliary metabolic genes,fecal metagenome sequencing,gut bacteriome

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