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Yang N, Ma T, Xie Y, Li Q, Li Y, Zheng L, Li Y, Xiao Q, Sun Z, Zuo K, Kwok LY, Lu N, Liu W, Zhang H. Lactiplantibacillus plantarum P9 for chronic diarrhea in young adults: a large double-blind, randomized, placebo-controlled trial. Nat Commun 2024; 15:6823. [PMID: 39122704 PMCID: PMC11315937 DOI: 10.1038/s41467-024-51094-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
Current treatments for chronic diarrhea have limited efficacy and several side effects. Probiotics have the potential to alleviate symptoms of diarrhea. This randomized, double-blind, placebo-controlled trial evaluates the effects of administering the probiotic Lactiplantibacillus plantarum P9 (P9) strain in young adults with chronic diarrhea (Clinical Trial Registration Number: ChiCTR2000038410). The intervention period lasts for 28 days, followed by a 14-day post-intervention period. Participants are randomized into the P9 (n = 93) and placebo (n = 96) groups, with 170 individuals completing the double-blind intervention phase (n = 85 per group). The primary endpoint is the diarrhea symptom severity score. Both intention-to-treat (n = 189) and per-protocol (n = 170) analyses reveal a modest yet statistically significant reduction in diarrhea severity compared to the placebo group (20.0%, P = 0.050; 21.4%, P = 0.048, respectively). In conclusion, the results of this study support the use of probiotics in managing chronic diarrhea in young adults. However, the lack of blood parameter assessment and the short intervention period represent limitations of this study.
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Affiliation(s)
- Ni Yang
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang, China
- Research and Development Department, Jiangzhong Pharmaceutical Co., Ltd., Nanchang, China
| | - Teng Ma
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
| | - Yong Xie
- Department of Gastroenterology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qiong Li
- State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang, China
- Jiangxi University of Chinese Medicine, Nanchang, China
| | - Yingmeng Li
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang, China
- Research and Development Department, Jiangzhong Pharmaceutical Co., Ltd., Nanchang, China
| | - Longjin Zheng
- State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang, China
- Research and Development Department, Jiangzhong Pharmaceutical Co., Ltd., Nanchang, China
| | - Yalin Li
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
| | - Qiuping Xiao
- State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang, China
- Research and Development Department, Jiangzhong Pharmaceutical Co., Ltd., Nanchang, China
| | - Zhihong Sun
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
| | - Kexuan Zuo
- State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang, China
- Research and Development Department, Jiangzhong Pharmaceutical Co., Ltd., Nanchang, China
| | - Lai-Yu Kwok
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
- Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China
| | - Nonghua Lu
- Department of Gastroenterology, The First Affiliated Hospital of Nanchang University, Nanchang, China.
| | - Wenjun Liu
- State Key Laboratory for the Modernization of Classical and Famous Prescriptions of Chinese Medicine, Nanchang, China.
- Research and Development Department, Jiangzhong Pharmaceutical Co., Ltd., Nanchang, China.
| | - Heping Zhang
- Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
- Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
- Collaborative Innovative Center of Ministry of Education for Lactic Acid Bacteria and Fermented Dairy Products, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
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Zhang P, Ma S, Guo R, Li L, Guo X, Chang D, Li S, Zhang H, Fu C, Yang L, Zhang Y, Jiang J, Wang T, Wang J, Shi H. Metagenomic analysis of the gut virome in patients with irritable bowel syndrome. J Med Virol 2024; 96:e29802. [PMID: 39023095 DOI: 10.1002/jmv.29802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 07/02/2024] [Accepted: 07/04/2024] [Indexed: 07/20/2024]
Abstract
Irritable bowel syndrome (IBS), a chronic functional gastrointestinal disorder, is recognized for its association with alterations in the gut microbiome and metabolome. This study delves into the largely unexplored domain of the gut virome in IBS patients. We conducted a comprehensive analysis of the fecal metagenomic data set from 277 IBS patients and 84 healthy controls to characterize the gut viral community. Our findings revealed a distinct gut virome in IBS patients compared to healthy individuals, marked by significant variances in between-sample diversity and altered abundances of 127 viral operational taxonomic units (vOTUs). Specifically, 111 vOTUs, predominantly belonging to crAss-like, Siphoviridae, Myoviridae, and Quimbyviridae families, were more abundant in IBS patients, whereas the healthy control group exhibited enrichment of 16 vOTUs from multiple families. We also investigated the interplay between the gut virome and bacteriome, identifying a correlation between IBS-enriched bacteria like Klebsiella pneumoniae, Fusobacterium varium, and Ruminococcus gnavus, and the IBS-associated vOTUs. Furthermore, we assessed the potential of gut viral signatures in predicting IBS, achieving a notable area under the receiver operator characteristic curve (AUC) of 0.834. These findings highlight significant shifts in the viral diversity, taxonomic distribution, and functional composition of the gut virome in IBS patients, suggesting the potential role of the gut virome in IBS pathogenesis and opening new avenues for diagnostic and therapeutic strategies targeting the gut virome in IBS management.
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Affiliation(s)
- Pan Zhang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Shiyang Ma
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | | | - Lu Li
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Xiaoyan Guo
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Danyan Chang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | | | - Huan Zhang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Cui Fu
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Longbao Yang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Yue Zhang
- Puensum Genetech Institute, Wuhan, China
| | - Jiong Jiang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Ting Wang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Jinhai Wang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
| | - Haitao Shi
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China
- Shaanxi Key Laboratory of Gastrointestinal Motility Disorders, Shaanxi, China
- Shaanxi Provincial Clinical Research Center for Gastrointestinal Diseases, Shaanxi, China
- Digestive Disease Quality Control Center of Shaanxi Province, Xi'an, PR China
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Abstract
Colorectal cancer (CRC) is a substantial source of global morbidity and mortality in dire need of improved prevention and treatment strategies. As our understanding of CRC grows, it is becoming increasingly evident that the gut microbiota, consisting of trillions of microorganisms in direct interface with the colon, plays a substantial role in CRC development and progression. Understanding the roles that individual microorganisms and complex microbial communities play in CRC pathogenesis, along with their attendant mechanisms, will help yield novel preventive and therapeutic interventions for CRC. In this Review, we discuss recent evidence concerning global perturbations of the gut microbiota in CRC, associations of specific microorganisms with CRC, the underlying mechanisms by which microorganisms potentially drive CRC development and the roles of complex microbial communities in CRC pathogenesis. While our understanding of the relationship between the microbiota and CRC has improved in recent years, our findings highlight substantial gaps in current research that need to be filled before this knowledge can be used to the benefit of patients.
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Affiliation(s)
- Maxwell T White
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cynthia L Sears
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Gharipour M, Dianatkhah M, Jahanfar S, Rodrigues APDS, Eftekhari A, Mohammadifard N, Sarrafzadegan N, de Oliveira C, Silveira EA. How Do Genetic and Environmental Factors Influence Cardiometabolic Risk Factors? Findings from the Isfahan Twins Study. J Res Health Sci 2024; 24:e00604. [PMID: 39072540 PMCID: PMC10999106 DOI: 10.34172/jrhs.2024.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 01/15/2024] [Accepted: 02/17/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Disease-discordant twins are excellent subjects for matched case-control studies as they allow for the control of confounding factors such as age, gender, genetic background, and intrauterine and early environment factors. Study design: A cross-sectional study. METHODS Past medical history documentation and physical examination were conducted for all participants. Fasting venous blood samples were taken to measure fasting blood glucose (FBG) and lipid levels. The ACE model, a structural equation model, was used to assess heritability. RESULTS This study included 710 twin pairs (210 monozygotic and 500 dizygotic) ranging in age from 2 to 52 years (mean age: 11.67±10.71 years). The study was conducted using participants from the Isfahan Twin Registry (ITR) in 2017. Results showed that in early childhood (2-6 years), height, weight, and body mass index (BMI) were influenced by shared environmental factors (76%, 75%, and 73%, respectively). In late childhood (7-12 years), hip circumference, waist circumference (WC), and low-density lipoprotein (LDL) cholesterol were found to be highly heritable (90%, 76%, and 64%, respectively). In adolescents, height (94%), neck circumference (85%), LDL-cholesterol (81%), WC (70%), triglycerides (69%), weight (68%), and BMI (65%) were all found to be highly or moderately heritable. In adult twins, arm circumference (97%), weight (86%), BMI (82%), and neck circumference (81%) were highly heritable. CONCLUSION This study demonstrates that both genetic and environmental factors play a role in influencing individuals at different stages of their lives. Notably, while certain traits such as obesity have a high heritability during childhood, their heritability tends to decrease as individuals transition into adulthood.
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Affiliation(s)
- Mojgan Gharipour
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- School of Medicine, Faculty of Health at Deakin University, Melbourne, Australia
| | - Minoo Dianatkhah
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shayesteh Jahanfar
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, USA
| | | | - Ava Eftekhari
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Noushin Mohammadifard
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- Faculty of Medicine, School of Population and Public Health, The University of British Columbia, Vancouver, Canada
| | - Cesar de Oliveira
- Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Erika Aparecida Silveira
- Graduate Program in Health Sciences, Faculty of Medicine, Federal University of Goiás, Goiânia, Brazil
- Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
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5
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Miao Y, Sun Z, Ma C, Lin C, Wang G, Yang C. VirGrapher: a graph-based viral identifier for long sequences from metagenomes. Brief Bioinform 2024; 25:bbae036. [PMID: 38343326 PMCID: PMC10859693 DOI: 10.1093/bib/bbae036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/15/2024] [Accepted: 01/18/2024] [Indexed: 02/15/2024] Open
Abstract
Viruses are the most abundant biological entities on earth and are important components of microbial communities. A metagenome contains all microorganisms from an environmental sample. Correctly identifying viruses from these mixed sequences is critical in viral analyses. It is common to identify long viral sequences, which has already been passed thought pipelines of assembly and binning. Existing deep learning-based methods divide these long sequences into short subsequences and identify them separately. This makes the relationships between them be omitted, leading to poor performance on identifying long viral sequences. In this paper, VirGrapher is proposed to improve the identification performance of long viral sequences by constructing relationships among short subsequences from long ones. VirGrapher see a long sequence as a graph and uses a Graph Convolutional Network (GCN) model to learn multilayer connections between nodes from sequences after a GCN-based node embedding model. VirGrapher achieves a better AUC value and accuracy on validation set, which is better than three benchmark methods.
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Affiliation(s)
- Yan Miao
- College of Computer and Control Engineering, Northeast Forestry University, Hexing Road, 150040, Heilongjiang Province, China
| | - Zhenyuan Sun
- College of Computer and Control Engineering, Northeast Forestry University, Hexing Road, 150040, Heilongjiang Province, China
| | - Chenjing Ma
- College of Computer and Control Engineering, Northeast Forestry University, Hexing Road, 150040, Heilongjiang Province, China
| | - Chen Lin
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiangannan Road, 361104, Fujian Province, China
| | - Guohua Wang
- College of Computer and Control Engineering, Northeast Forestry University, Hexing Road, 150040, Heilongjiang Province, China
| | - Chunxue Yang
- College of Landscape Architecture, Northeast Forestry University, Hexing Road, 150040, Heilongjiang Province, China
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Ligeti B, Szepesi-Nagy I, Bodnár B, Ligeti-Nagy N, Juhász J. ProkBERT family: genomic language models for microbiome applications. Front Microbiol 2024; 14:1331233. [PMID: 38282738 PMCID: PMC10810988 DOI: 10.3389/fmicb.2023.1331233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 12/11/2023] [Indexed: 01/30/2024] Open
Abstract
Background In the evolving landscape of microbiology and microbiome analysis, the integration of machine learning is crucial for understanding complex microbial interactions, and predicting and recognizing novel functionalities within extensive datasets. However, the effectiveness of these methods in microbiology faces challenges due to the complex and heterogeneous nature of microbial data, further complicated by low signal-to-noise ratios, context-dependency, and a significant shortage of appropriately labeled datasets. This study introduces the ProkBERT model family, a collection of large language models, designed for genomic tasks. It provides a generalizable sequence representation for nucleotide sequences, learned from unlabeled genome data. This approach helps overcome the above-mentioned limitations in the field, thereby improving our understanding of microbial ecosystems and their impact on health and disease. Methods ProkBERT models are based on transfer learning and self-supervised methodologies, enabling them to use the abundant yet complex microbial data effectively. The introduction of the novel Local Context-Aware (LCA) tokenization technique marks a significant advancement, allowing ProkBERT to overcome the contextual limitations of traditional transformer models. This methodology not only retains rich local context but also demonstrates remarkable adaptability across various bioinformatics tasks. Results In practical applications such as promoter prediction and phage identification, the ProkBERT models show superior performance. For promoter prediction tasks, the top-performing model achieved a Matthews Correlation Coefficient (MCC) of 0.74 for E. coli and 0.62 in mixed-species contexts. In phage identification, ProkBERT models consistently outperformed established tools like VirSorter2 and DeepVirFinder, achieving an MCC of 0.85. These results underscore the models' exceptional accuracy and generalizability in both supervised and unsupervised tasks. Conclusions The ProkBERT model family is a compact yet powerful tool in the field of microbiology and bioinformatics. Its capacity for rapid, accurate analyses and its adaptability across a spectrum of tasks marks a significant advancement in machine learning applications in microbiology. The models are available on GitHub (https://github.com/nbrg-ppcu/prokbert) and HuggingFace (https://huggingface.co/nerualbioinfo) providing an accessible tool for the community.
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Affiliation(s)
- Balázs Ligeti
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
| | - István Szepesi-Nagy
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
| | - Babett Bodnár
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
| | - Noémi Ligeti-Nagy
- Language Technology Research Group, HUN-REN Hungarian Research Centre for Linguistics, Budapest, Hungary
| | - János Juhász
- Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary
- Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary
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7
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Tun HM, Peng Y, Massimino L, Sin ZY, Parigi TL, Facoetti A, Rahman S, Danese S, Ungaro F. Gut virome in inflammatory bowel disease and beyond. Gut 2024; 73:350-360. [PMID: 37949638 PMCID: PMC10850733 DOI: 10.1136/gutjnl-2023-330001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 10/24/2023] [Indexed: 11/12/2023]
Abstract
OBJECTIVE The gut virome is a dense community of viruses inhabiting the gastrointestinal tract and an integral part of the microbiota. The virome coexists with the other components of the microbiota and with the host in a dynamic equilibrium, serving as a key contributor to the maintenance of intestinal homeostasis and functions. However, this equilibrium can be interrupted in certain pathological states, including inflammatory bowel disease, causing dysbiosis that may participate in disease pathogenesis. Nevertheless, whether virome dysbiosis is a causal or bystander event requires further clarification. DESIGN This review seeks to summarise the latest advancements in the study of the gut virome, highlighting its cross-talk with the mucosal microenvironment. It explores how cutting-edge technologies may build upon current knowledge to advance research in this field. An overview of virome transplantation in diseased gastrointestinal tracts is provided along with insights into the development of innovative virome-based therapeutics to improve clinical management. RESULTS Gut virome dysbiosis, primarily driven by the expansion of Caudovirales, has been shown to impact intestinal immunity and barrier functions, influencing overall intestinal homeostasis. Although emerging innovative technologies still need further implementation, they display the unprecedented potential to better characterise virome composition and delineate its role in intestinal diseases. CONCLUSIONS The field of gut virome is progressively expanding, thanks to the advancements of sequencing technologies and bioinformatic pipelines. These have contributed to a better understanding of how virome dysbiosis is linked to intestinal disease pathogenesis and how the modulation of virome composition may help the clinical intervention to ameliorate gut disease management.
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Affiliation(s)
- Hein Min Tun
- Microbiota I-Center (MagIC), Hong Kong SAR, China
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ye Peng
- Microbiota I-Center (MagIC), Hong Kong SAR, China
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Luca Massimino
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Zhen Ye Sin
- JC School of Public Health and Primary Care, Faculty of medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Tommaso Lorenzo Parigi
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | - Amanda Facoetti
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | | | - Silvio Danese
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
| | - Federica Ungaro
- Gastroenterology and Endoscopy, IRCCS Ospedale San Raffaele, Milano, Italy
- Università Vita-Salute San Raffaele Facoltà di Medicina e Chirurgia, Milano, Italy
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8
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Zhang Y, Sharma S, Tom L, Liao YT, Wu VCH. Gut Phageome-An Insight into the Role and Impact of Gut Microbiome and Their Correlation with Mammal Health and Diseases. Microorganisms 2023; 11:2454. [PMID: 37894111 PMCID: PMC10609124 DOI: 10.3390/microorganisms11102454] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
The gut microbiota, including bacteria, archaea, fungi, and viruses, compose a diverse mammalian gut environment and are highly associated with host health. Bacteriophages, the viruses that infect bacteria, are the primary members of the gastrointestinal virome, known as the phageome. However, our knowledge regarding the gut phageome remains poorly understood. In this review, the critical role of the gut phageome and its correlation with mammalian health were summarized. First, an overall profile of phages across the gastrointestinal tract and their dynamic roles in shaping the surrounding microorganisms was elucidated. Further, the impacts of the gut phageome on gastrointestinal fitness and the bacterial community were highlighted, together with the influence of diets on the gut phageome composition. Additionally, new reports on the role of the gut phageome in the association of mammalian health and diseases were reviewed. Finally, a comprehensive update regarding the advanced phage benchwork and contributions of phage-based therapy to prevent/treat mammalian diseases was provided. This study provides insights into the role and impact of the gut phagenome in gut environments closely related to mammal health and diseases. The findings provoke the potential applications of phage-based diagnosis and therapy in clinical and agricultural fields. Future research is needed to uncover the underlying mechanism of phage-bacterial interactions in gut environments and explore the maintenance of mammalian health via phage-regulated gut microbiota.
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Affiliation(s)
| | | | | | | | - Vivian C. H. Wu
- Produce Safety and Microbiology Research Unit, U.S. Department of Agriculture, Agricultural Research Service, Western Regional Research Center, Albany, CA 94710, USA
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9
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Abstract
The gut microbiome is a dense and metabolically active consortium of microorganisms and viruses located in the lower gastrointestinal tract of the human body. Bacteria and their viruses (phages) are the most abundant members of the gut microbiome. Investigating their biology and the interplay between the two is important if we are to understand their roles in human health and disease. In this review, we summarize recent advances in resolving the taxonomic structure and ecological functions of the complex community of phages in the human gut-the gut phageome. We discuss how age, diet, and geography can all have a significant impact on phageome composition. We note that alterations to the gut phageome have been observed in several diseases such as inflammatory bowel disease, irritable bowel syndrome, and colorectal cancer, and we evaluate whether these phageome changes can directly or indirectly contribute to disease etiology and pathogenesis. We also highlight how lack of standardization in studying the gut phageome has contributed to variation in reported results.
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Affiliation(s)
- Ciara A Tobin
- APC Microbiome Ireland, Cork, Ireland; , ,
- School of Microbiology, University College Cork, Cork, Ireland
| | - Colin Hill
- APC Microbiome Ireland, Cork, Ireland; , ,
- School of Microbiology, University College Cork, Cork, Ireland
| | - Andrey N Shkoporov
- APC Microbiome Ireland, Cork, Ireland; , ,
- School of Microbiology, University College Cork, Cork, Ireland
- Department of Medicine, University College Cork, Cork, Ireland
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10
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Zhuang YP, Zhou HL, Chen HB, Zheng MY, Liang YW, Gu YT, Li WT, Qiu WL, Zhou HG. Gut microbiota interactions with antitumor immunity in colorectal cancer: From understanding to application. Biomed Pharmacother 2023; 165:115040. [PMID: 37364479 DOI: 10.1016/j.biopha.2023.115040] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/17/2023] [Accepted: 06/20/2023] [Indexed: 06/28/2023] Open
Abstract
Colorectal cancer (CRC) is one of highly prevalent cancer. Immunotherapy with immune checkpoint inhibitors (ICIs) has dramatically changed the landscape of treatment for many advanced cancers, but CRC still exhibits suboptimal response to immunotherapy. The gut microbiota can affect both anti-tumor and pro-tumor immune responses, and further modulate the efficacy of cancer immunotherapy, particularly in the context of therapy with ICIs. Therefore, a deeper understanding of how the gut microbiota modulates immune responses is crucial to improve the outcomes of CRC patients receiving immunotherapy and to overcome resistance in nonresponders. The present review aims to describe the relationship between the gut microbiota, CRC, and antitumor immune responses, with a particular focus on key studies and recent findings on the effect of the gut microbiota on the antitumor immune activity. We also discuss the potential mechanisms by which the gut microbiota influences host antitumor immune responses as well as the prospective role of intestinal flora in CRC treatment. Furthermore, the therapeutic potential and limitations of different modulation strategies for the gut microbiota are also discussed. These insights may facilitate to better comprehend the interplay between the gut microbiota and the antitumor immune responses of CRC patients and provide new research pathways to enhance immunotherapy efficacy and expand the patient population that could be benefited by immunotherapy.
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Affiliation(s)
- Yu-Pei Zhuang
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, The First Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Hong-Li Zhou
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
| | - Hai-Bin Chen
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Ming-Yue Zheng
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, The First Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yu-Wei Liang
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, The First Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yu-Tian Gu
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, The First Clinical College of Nanjing University of Chinese Medicine, Nanjing, China
| | - Wen-Ting Li
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, The First Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
| | - Wen-Li Qiu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
| | - Hong-Guang Zhou
- Department of Oncology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China; Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, The First Clinical College of Nanjing University of Chinese Medicine, Nanjing, China.
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11
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Garcia‐Serrano A, Mukhedkar D, Hultin E, Rudsander U, Wettergren Y, Ure AE, Dillner J, Arroyo‐Mühr LS. Assessment of bacterial and viral gut communities in healthy and tumoral colorectal tissue using RNA and DNA deep sequencing. Cancer Med 2023; 12:19291-19300. [PMID: 37641475 PMCID: PMC10557870 DOI: 10.1002/cam4.6483] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/15/2023] [Accepted: 08/17/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is known to present a distinct microbiome profile compared to healthy mucosa. Non-targeted deep-sequencing strategies enable nowadays full microbiome characterization up to species level. AIM We aimed to analyze both bacterial and viral communities in CRC using these strategies. MATERIALS & METHODS We analyzed bacterial and viral communities using both DNA and RNA deep-sequencing (Novaseq) in colorectal tissue specimens from 10 CRC patients and 10 matched control patients. Following taxonomy classification using Kraken 2, different metrics for alpha and beta diversities as well as relative and differential abundance were calculated to compare tumoral and healthy samples. RESULTS No viral differences were identified between tissue types, but bacterial species Polynucleobacter necessarius had a highly increased presence for DNA in tumors (p = 0.001). RNA analyses showed that bacterial species Arabia massiliensis had a highly decreased transcription in tumors (p = 0.002) while Fusobacterium nucleatum transcription was highly increased in tumors (p = 0.002). DISCUSSION Sequencing of both DNA and RNA enables a wider perspective of micriobiome profiles. Lack of RNA transcription (Polynucleobacter necessarius) casts doubt on possible role of a microorganism in CRC. The association of F. nucleatum mainly with transcription, may provide further insights on its role in CRC. CONCLUSION Joint assessment of the metagenome (DNA) and the metatranscriptome (RNA) at the species level provided a huge coverage for both bacteria and virus and identifies differential specific bacterial species as tumor associated.
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Affiliation(s)
- Ainhoa Garcia‐Serrano
- Department of Clinical Science, Intervention and Technology (CLINTEC)Karolinska InstitutetStockholmSweden
| | - Dhananjay Mukhedkar
- Department of Clinical Science, Intervention and Technology (CLINTEC)Karolinska InstitutetStockholmSweden
- Hopsworks ABStockholmSweden
| | - Emilie Hultin
- Department of Clinical Science, Intervention and Technology (CLINTEC)Karolinska InstitutetStockholmSweden
| | - Ulla Rudsander
- Department of Clinical Science, Intervention and Technology (CLINTEC)Karolinska InstitutetStockholmSweden
| | - Yvonne Wettergren
- Department of SurgerySahlgrenska University Hospital, Sahlgrenska Academy at University of GothenburgGothenburgSweden
| | - Agustín Enrique Ure
- Department of Clinical Science, Intervention and Technology (CLINTEC)Karolinska InstitutetStockholmSweden
| | - Joakim Dillner
- Department of Clinical Science, Intervention and Technology (CLINTEC)Karolinska InstitutetStockholmSweden
- Center for Cervical Cancer EliminationForskningsgatan F56 Karolinska University Hospital HuddingeStockholmSweden
| | - Laila Sara Arroyo‐Mühr
- Department of Clinical Science, Intervention and Technology (CLINTEC)Karolinska InstitutetStockholmSweden
- Center for Cervical Cancer EliminationForskningsgatan F56 Karolinska University Hospital HuddingeStockholmSweden
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12
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Rangel-Pineros G, Almeida A, Beracochea M, Sakharova E, Marz M, Reyes Muñoz A, Hölzer M, Finn RD. VIRify: An integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models. PLoS Comput Biol 2023; 19:e1011422. [PMID: 37639475 PMCID: PMC10491390 DOI: 10.1371/journal.pcbi.1011422] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 09/08/2023] [Accepted: 08/09/2023] [Indexed: 08/31/2023] Open
Abstract
The study of viral communities has revealed the enormous diversity and impact these biological entities have on various ecosystems. These observations have sparked widespread interest in developing computational strategies that support the comprehensive characterisation of viral communities based on sequencing data. Here we introduce VIRify, a new computational pipeline designed to provide a user-friendly and accurate functional and taxonomic characterisation of viral communities. VIRify identifies viral contigs and prophages from metagenomic assemblies and annotates them using a collection of viral profile hidden Markov models (HMMs). These include our manually-curated profile HMMs, which serve as specific taxonomic markers for a wide range of prokaryotic and eukaryotic viral taxa and are thus used to reliably classify viral contigs. We tested VIRify on assemblies from two microbial mock communities, a large metagenomics study, and a collection of publicly available viral genomic sequences from the human gut. The results showed that VIRify could identify sequences from both prokaryotic and eukaryotic viruses, and provided taxonomic classifications from the genus to the family rank with an average accuracy of 86.6%. In addition, VIRify allowed the detection and taxonomic classification of a range of prokaryotic and eukaryotic viruses present in 243 marine metagenomic assemblies. Finally, the use of VIRify led to a large expansion in the number of taxonomically classified human gut viral sequences and the improvement of outdated and shallow taxonomic classifications. Overall, we demonstrate that VIRify is a novel and powerful resource that offers an enhanced capability to detect a broad range of viral contigs and taxonomically classify them.
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Affiliation(s)
- Guillermo Rangel-Pineros
- The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Max Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogota, Colombia
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, United Kingdom
| | - Alexandre Almeida
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, United Kingdom
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom
- Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Martin Beracochea
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, United Kingdom
| | - Ekaterina Sakharova
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, United Kingdom
| | - Manja Marz
- RNA Bioinformatics, Friedrich Schiller University, Jena, Germany
- European Virus Bioinformatics Center, Friedrich Schiller University, Jena, Germany
| | - Alejandro Reyes Muñoz
- Max Planck Tandem Group in Computational Biology, Department of Biological Sciences, Universidad de los Andes, Bogota, Colombia
| | - Martin Hölzer
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, United Kingdom
- European Virus Bioinformatics Center, Friedrich Schiller University, Jena, Germany
- Methodology and Research Infrastructure, Genome Competence Center (MF1), Robert Koch Institute, Berlin, Germany
| | - Robert D. Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, United Kingdom
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13
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Ma T, Yang N, Xie Y, Li Y, Xiao Q, Li Q, Jin H, Zheng L, Sun Z, Zuo K, Kwok LY, Zhang H, Lu N, Liu W. Effect of the probiotic strain, Lactiplantibacillus plantarum P9, on chronic constipation: a randomized, double-blind, placebo-controlled study. Pharmacol Res 2023; 191:106755. [PMID: 37019193 DOI: 10.1016/j.phrs.2023.106755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 03/20/2023] [Accepted: 04/02/2023] [Indexed: 04/05/2023]
Abstract
Chronic constipation (CC) is a common gastrointestinal condition associated with intestinal inflammation, and the condition considerably impairs patients' quality of life. We conducted a large-scale 42-day randomized, double-blind, placebo-controlled trial to investigate the effect of probiotics in alleviating CC. 163 patients diagnosed with CC (following Rome IV criteria) were randomly divided into probiotic (n = 78; received Lactiplantibacillus plantarum P9 [P9]; 1×1011 CFU/day) and placebo (n = 85; received placebo material) groups. Ingesting P9 significantly improved the weekly mean frequency of complete spontaneous bowel movements (CSBMs) and spontaneous bowel movements (SBMs), while significantly reducing the level of worries and concerns (WO; P < 0.05). Comparing with the placebo group, P9 group was significantly enriched in potentially beneficial bacteria (Lactiplantibacillus plantarum and Ruminococcus_B gnavus), while depriving of several bacterial and phage taxa (Oscillospiraceae sp., Lachnospiraceae sp., and Herelleviridae; P < 0.05). Interesting significant correlations were also observed between some clinical parameters and subjects' gut microbiome, including: negative correlation between Oscillospiraceae sp. and SBMs; positive correlation between WO and Oscillospiraceae sp., Lachnospiraceae sp. Additionally, P9 group had significantly (P < 0.05) more predicted gut microbial bioactive potential involved in the metabolism of amino acids (L-asparagine, L-pipecolinic), short-/medium-chain fatty acids (valeric acid and caprylic acid). Furthermore, several metabolites (p-cresol, methylamine, trimethylamine) related to the intestinal barrier and transit decreased significantly after P9 administration (P < 0.05). In short, the constipation relief effect of P9 intervention was accompanied by desirable changes in the fecal metagenome and metabolome. Our findings support the notion of applying probiotics in managing CC.
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14
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Wang Z, Dan W, Zhang N, Fang J, Yang Y. Colorectal cancer and gut microbiota studies in China. Gut Microbes 2023; 15:2236364. [PMID: 37482657 PMCID: PMC10364665 DOI: 10.1080/19490976.2023.2236364] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 07/10/2023] [Indexed: 07/25/2023] Open
Abstract
Colorectal cancer (CRC) is the third most common malignant tumor worldwide. The incidence and mortality rates of CRC have been increasing in China, possibly due to economic development, lifestyle, and dietary changes. Evidence suggests that gut microbiota plays an essential role in the tumorigenesis of CRC. Gut dysbiosis, specific pathogenic microbes, metabolites, virulence factors, and microbial carcinogenic mechanisms contribute to the initiation and progression of CRC. Gut microbiota biomarkers have potential translational applications in CRC screening and early diagnosis. Gut microbiota-related interventions could improve anti-tumor therapy's efficacy and severe intestinal toxic effects. Chinese researchers have made many achievements in the relationship between gut microbiota and CRC, although some challenges remain. This review summarizes the current evidence from China on the role of gut microbiota in CRC, mainly including the gut microbiota characteristics, especially Fusobacterium nucleatum and Parvimonas micra, which have been identified to be enriched in CRC patients; microbial pathogens such as F. nucleatum and enterotoxigenic Bacteroides fragilis, and P. micra, which Chinese scientists have extensively studied; diagnostic biomarkers especially F. nucleatum; therapeutic effects, including microecological agents represented by certain Lactobacillus strains, fecal microbiota transplantation, and traditional Chinese medicines such as Berberine and Curcumin. More efforts should be focused on exploring the underlying mechanisms of microbial pathogenesis of CRC and providing novel gut microbiota-related therapeutic and preventive strategies.
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Affiliation(s)
- Zikai Wang
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
| | - Wanyue Dan
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School, Nankai University, Tianjin, China
| | - Nana Zhang
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jingyuan Fang
- Division of Gastroenterology and Hepatology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yunsheng Yang
- Microbiota Division, Department of Gastroenterology and Hepatology, The First Medical Center, Chinese PLA General Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China
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15
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Impact of HIV infection and integrase strand transfer inhibitors-based treatment on the gut virome. Sci Rep 2022; 12:21658. [PMID: 36522388 PMCID: PMC9755154 DOI: 10.1038/s41598-022-25979-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022] Open
Abstract
Viruses are the most abundant components of the human gut microbiome with a significant impact on health and disease. The effects of human immunodeficiency virus (HIV) infection on gut virome has been scarcely analysed. Several studies suggested that integrase strand transfers inhibitors (INSTIs) are associated with a healthier gut. Thus, the objective of this work was to evaluate the effects of HIV infection and INSTIs on gut virome composition. 26 non-HIV-infected volunteers, 15 naive HIV-infected patients and 15 INSTIs-treated HIV-infected patients were recruited and their gut virome composition was analysed using shotgun sequencing. Bacteriophages were the most abundant and diverse viruses present in gut. HIV infection was accompanied by a decrease in phage richness which was reverted after INSTIs-based treatment. β-diversity of phages revealed that samples from HIV-infected patients clustered separately from those belonging to the control group. Differential abundant analysis showed an increase in phages belonging to Caudoviricetes class in the naive group and a decrease of Malgrandaviricetes class phages in the INSTIs-treated group compared to the control group. Besides, it was observed that INSTIs-based treatment was not able to reverse the increase of lysogenic phages associated with HIV infection or to modify the decrease observed on the relative abundance of Proteobacteria-infecting phages. Our study describes for the first time the impact of HIV and INSTIs on gut virome and demonstrates that INSTIs-based treatments are able to partially restore gut dysbiosis at the viral level, which opens several opportunities for new studies focused on microbiota-based therapies.
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