1
|
Barchi A, Massimino L, Mandarino FV, Vespa E, Sinagra E, Almolla O, Passaretti S, Fasulo E, Parigi TL, Cagliani S, Spanò S, Ungaro F, Danese S. Microbiota profiling in esophageal diseases: Novel insights into molecular staining and clinical outcomes. Comput Struct Biotechnol J 2024; 23:626-637. [PMID: 38274997 PMCID: PMC10808859 DOI: 10.1016/j.csbj.2023.12.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/22/2023] [Accepted: 12/23/2023] [Indexed: 01/27/2024] Open
Abstract
Gut microbiota is recognized nowadays as one of the key players in the development of several gastro-intestinal diseases. The first studies focused mainly on healthy subjects with staining of main bacterial species via culture-based techniques. Subsequently, lots of studies tried to focus on principal esophageal disease enlarged the knowledge on esophageal microbial environment and its role in pathogenesis. Gastro Esophageal Reflux Disease (GERD), the most widespread esophageal condition, seems related to a certain degree of mucosal inflammation, via interleukin (IL) 8 potentially enhanced by bacterial components, lipopolysaccharide (LPS) above all. Gram- bacteria, producing LPS), such as Campylobacter genus, have been found associated with GERD. Barrett esophagus (BE) seems characterized by a Gram- and microaerophils-shaped microbiota. Esophageal cancer (EC) development leads to an overturn in the esophageal environment with the shift from an oral-like microbiome to a prevalently low-abundant and low-diverse Gram--shaped microbiome. Although underinvestigated, also changes in the esophageal microbiome are associated with rare chronic inflammatory or neuropathic disease pathogenesis. The paucity of knowledge about the microbiota-driven mechanisms in esophageal disease pathogenesis is mainly due to the scarce sensitivity of sequencing technology and culture methods applied so far to study commensals in the esophagus. However, the recent advances in molecular techniques, especially with the advent of non-culture-based genomic sequencing tools and the implementation of multi-omics approaches, have revolutionized the microbiome field, with promises of implementing the current knowledge, discovering more mechanisms underneath, and giving insights into the development of novel therapies aimed to re-establish the microbial equilibrium for ameliorating esophageal diseases..
Collapse
Affiliation(s)
- Alberto Barchi
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Luca Massimino
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Edoardo Vespa
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Emanuele Sinagra
- Gastroenterology & Endoscopy Unit, Fondazione Istituto G. Giglio, Cefalù, Italy
| | - Omar Almolla
- Università Vita-Salute San Raffaele, Faculty of Medicine, Milan, Italy
| | - Sandro Passaretti
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Ernesto Fasulo
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Tommaso Lorenzo Parigi
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Faculty of Medicine, Milan, Italy
| | - Stefania Cagliani
- Università Vita-Salute San Raffaele, Faculty of Medicine, Milan, Italy
| | - Salvatore Spanò
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Federica Ungaro
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Silvio Danese
- Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
- Università Vita-Salute San Raffaele, Faculty of Medicine, Milan, Italy
| |
Collapse
|
2
|
Jia M, Zhu S, Xue MY, Chen H, Xu J, Song M, Tang Y, Liu X, Tao Y, Zhang T, Liu JX, Wang Y, Sun HZ. Single-cell transcriptomics across 2,534 microbial species reveals functional heterogeneity in the rumen microbiome. Nat Microbiol 2024; 9:1884-1898. [PMID: 38866938 DOI: 10.1038/s41564-024-01723-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 05/07/2024] [Indexed: 06/14/2024]
Abstract
Deciphering the activity of individual microbes within complex communities and environments remains a challenge. Here we describe the development of microbiome single-cell transcriptomics using droplet-based single-cell RNA sequencing and pangenome-based computational analysis to characterize the functional heterogeneity of the rumen microbiome. We generated a microbial genome database (the Bovine Gastro Microbial Genome Map) as a functional reference map for the construction of a single-cell transcriptomic atlas of the rumen microbiome. The atlas includes 174,531 microbial cells and 2,534 species, of which 172 are core active species grouped into 12 functional clusters. We detected single-cell-level functional roles, including a key role for Basfia succiniciproducens in the carbohydrate metabolic niche of the rumen microbiome. Furthermore, we explored functional heterogeneity and reveal metabolic niche trajectories driven by biofilm formation pathway genes within B. succiniciproducens. Our results provide a resource for studying the rumen microbiome and illustrate the diverse functions of individual microbial cells that drive their ecological niche stability or adaptation within the ecosystem.
Collapse
Affiliation(s)
- Minghui Jia
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Senlin Zhu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Ming-Yuan Xue
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Xianghu Laboratory, Hangzhou, China
| | - Hongyi Chen
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Jinghong Xu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Mengdi Song
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- M20 Genomics, Hangzhou, China
| | - Yifan Tang
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Xiaohan Liu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Ye Tao
- Shanghai Biozeron Biotechnology Company, Shanghai, China
| | - Tianyu Zhang
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- M20 Genomics, Hangzhou, China
| | - Jian-Xin Liu
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Yongcheng Wang
- Liangzhu Laboratory, Zhejiang University, Hangzhou, China.
- Department of Laboratory Medicine, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Hui-Zeng Sun
- Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, China.
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China.
- Key Laboratory of Dairy Cow Genetic Improvement and Milk Quality Research of Zhejiang Province, Zhejiang University, Hangzhou, China.
| |
Collapse
|
3
|
Pinto Y, Bhatt AS. Sequencing-based analysis of microbiomes. Nat Rev Genet 2024:10.1038/s41576-024-00746-6. [PMID: 38918544 DOI: 10.1038/s41576-024-00746-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2024] [Indexed: 06/27/2024]
Abstract
Microbiomes occupy a range of niches and, in addition to having diverse compositions, they have varied functional roles that have an impact on agriculture, environmental sciences, and human health and disease. The study of microbiomes has been facilitated by recent technological and analytical advances, such as cheaper and higher-throughput DNA and RNA sequencing, improved long-read sequencing and innovative computational analysis methods. These advances are providing a deeper understanding of microbiomes at the genomic, transcriptional and translational level, generating insights into their function and composition at resolutions beyond the species level.
Collapse
Affiliation(s)
- Yishay Pinto
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Medicine, Divisions of Hematology and Blood & Marrow Transplantation, Stanford University, Stanford, CA, USA
| | - Ami S Bhatt
- Department of Genetics, Stanford University, Stanford, CA, USA.
- Department of Medicine, Divisions of Hematology and Blood & Marrow Transplantation, Stanford University, Stanford, CA, USA.
| |
Collapse
|
4
|
Bo T, Zhang J, Zong E, Lv N, Bai B, Yang Y, Zhang J, Fan S. Selective Elucidation of Living Microbial Communities in Fermented Grains of Chinese Baijiu: Development of a Technique Integrating Propidium Monoazide Probe Pretreatment and Amplicon Sequencing. Foods 2024; 13:1782. [PMID: 38891011 PMCID: PMC11171695 DOI: 10.3390/foods13111782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 06/20/2024] Open
Abstract
The fermentation process of Chinese Baijiu's fermented grains involves the intricate succession and metabolism of microbial communities, collectively shaping the Baijiu's quality. Understanding the composition and succession of these living microbial communities within fermented grains is crucial for comprehending fermentation and flavor formation mechanisms. However, conducting high-throughput analysis of living microbial communities within the complex microbial system of fermented grains poses significant challenges. Thus, this study addressed this challenge by devising a high-throughput analysis framework using light-flavor Baijiu as a model. This framework combined propidium monoazide (PMA) pretreatment technology with amplicon sequencing techniques. Optimal PMA treatment parameters, including a concentration of 50 μM and incubation in darkness for 5 min followed by an exposure incubation period of 5 min, were identified. Utilizing this protocol, viable microorganism biomass ranging from 8.71 × 106 to 1.47 × 108 copies/μL was successfully detected in fermented grain samples. Subsequent amplicon sequencing analysis revealed distinct microbial community structures between untreated and PMA-treated groups, with notable differences in relative abundance compositions, particularly in dominant species such as Lactobacillus, Bacillus, Pediococcus, Saccharomycopsis, Issatchenkia and Pichia, as identified by LEfSe analysis. The results of this study confirmed the efficacy of PMA-amplicon sequencing technology for analyzing living microbial communities in fermented grains and furnished a methodological framework for investigating living microbial communities in diverse traditional fermented foods. This technical framework holds considerable significance for advancing our understanding of the fermentation mechanisms intrinsic to traditional fermented foods.
Collapse
Affiliation(s)
- Tao Bo
- Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Institute of Biotechnology, Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (T.B.); (N.L.)
- Xinghuacun Fenjiu Distillery Co., Ltd., Fenyang 032200, China
- Shanxi Key Laboratory of Biotechnology, Taiyuan 030006, China
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
| | - Jiaojiao Zhang
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
- School of Life Science, Shanxi University, Taiyuan 030006, China
- Shanxi Key Laboratory for Research and Development of Regional Plants, No. 63 Nanzhonghuan East Road, Taiyuan 030031, China
| | - Enxiang Zong
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
- School of Life Science, Shanxi University, Taiyuan 030006, China
- Shanxi Key Laboratory for Research and Development of Regional Plants, No. 63 Nanzhonghuan East Road, Taiyuan 030031, China
| | - Na Lv
- Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education, Institute of Biotechnology, Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (T.B.); (N.L.)
- Shanxi Key Laboratory of Biotechnology, Taiyuan 030006, China
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
| | - Baoqing Bai
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
- School of Life Science, Shanxi University, Taiyuan 030006, China
- Shanxi Key Laboratory for Research and Development of Regional Plants, No. 63 Nanzhonghuan East Road, Taiyuan 030031, China
| | - Yukun Yang
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
- School of Life Science, Shanxi University, Taiyuan 030006, China
- Shanxi Key Laboratory for Research and Development of Regional Plants, No. 63 Nanzhonghuan East Road, Taiyuan 030031, China
| | - Jinhua Zhang
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
- School of Life Science, Shanxi University, Taiyuan 030006, China
- Shanxi Key Laboratory for Research and Development of Regional Plants, No. 63 Nanzhonghuan East Road, Taiyuan 030031, China
| | - Sanhong Fan
- Xinghuacun College (Shanxi Institute of Brewing Technology and Industry), Shanxi University, No. 63 Nanzhonghuan East Road, Taiyuan 030006, China; (J.Z.); (E.Z.); (B.B.); (Y.Y.); (J.Z.)
- School of Life Science, Shanxi University, Taiyuan 030006, China
- Shanxi Key Laboratory for Research and Development of Regional Plants, No. 63 Nanzhonghuan East Road, Taiyuan 030031, China
| |
Collapse
|
5
|
Pepke ML, Hansen SB, Limborg MT. Unraveling host regulation of gut microbiota through the epigenome-microbiome axis. Trends Microbiol 2024:S0966-842X(24)00137-9. [PMID: 38839511 DOI: 10.1016/j.tim.2024.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 06/07/2024]
Abstract
Recent studies of dynamic interactions between epigenetic modifications of a host organism and the composition or activity of its associated gut microbiota suggest an opportunity for the host to shape its microbiome through epigenetic alterations that lead to changes in gene expression and noncoding RNA activity. We use insights from microbiota-induced epigenetic changes to review the potential of the host to epigenetically regulate its gut microbiome, from which a bidirectional 'epigenome-microbiome axis' emerges. This axis embeds environmentally induced variation, which may influence the adaptive evolution of host-microbe interactions. We furthermore present our perspective on how the epigenome-microbiome axis can be understood and investigated within a holo-omic framework with potential applications in the applied health and food sciences.
Collapse
Affiliation(s)
- Michael L Pepke
- Center for Evolutionary Hologenomics, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, DK-1353 Copenhagen, Denmark.
| | - Søren B Hansen
- Center for Evolutionary Hologenomics, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, DK-1353 Copenhagen, Denmark
| | - Morten T Limborg
- Center for Evolutionary Hologenomics, Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, DK-1353 Copenhagen, Denmark.
| |
Collapse
|
6
|
François S. Host species drive composition of mosquito virome. Nat Ecol Evol 2024; 8:852-853. [PMID: 38519630 DOI: 10.1038/s41559-024-02385-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2024]
|
7
|
Tersigni J, Tamim El Jarkass H, James EB, Reinke AW. Interactions between microsporidia and other members of the microbiome. J Eukaryot Microbiol 2024:e13025. [PMID: 38561869 DOI: 10.1111/jeu.13025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 04/04/2024]
Abstract
The microbiome is the collection of microbes that are associated with a host. Microsporidia are intracellular eukaryotic parasites that can infect most types of animals. In the last decade, there has been much progress to define the relationship between microsporidia and the microbiome. In this review, we cover an increasing number of reports suggesting that microsporidia are common components of the microbiome in both invertebrates and vertebrates. These microsporidia infections can range from mutualistic to pathogenic, causing several physiological phenotypes, including death. Infection with microsporidia often causes a disruption in the normal microbiome, with both increases and decreases of bacterial, fungal, viral, and protozoan species being observed. This impact on the microbiome can occur through upregulation and downregulation of innate immunity as well as morphological changes to tissues that impact interactions with these microbes. Other microbes, particularly bacteria, can inhibit microsporidia and have been exploited to control microsporidia infections. These bacteria can function through regulating immunity, secreting anti-microsporidia compounds, and, in engineered versions, expressing double-stranded RNA targeting microsporidia genes. We end this review by discussing potential future directions to further understand the complex interactions between microsporidia and the other members of the microbiome.
Collapse
Affiliation(s)
- Jonathan Tersigni
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | | | - Edward B James
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Aaron W Reinke
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
8
|
Lu YQ, Qiao H, Tan XR, Liu N. Broadening oncological boundaries: the intratumoral microbiota. Trends Microbiol 2024:S0966-842X(24)00007-6. [PMID: 38310023 DOI: 10.1016/j.tim.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/07/2024] [Accepted: 01/18/2024] [Indexed: 02/05/2024]
Abstract
The microbiota of solid tumors was identified >100 years ago; however, heterogeneous composition and diversity have been revealed only recently. Growing evidence has suggested that several functional mechanisms of the intratumoral microbiota affect tumorigenesis and progression, suggesting that the intratumoral microbiota is a promising biomarker for multiple cancers. The low biomass of the intratumoral microbiota poses a major challenge to related research, thus necessitating the use of a multiple-modality integrated framework to resolve this dilemma. Advanced techniques such as single-cell sequencing provide significant clues, and the gradual optimization of functional experiments and culture-based methods enables deeper investigation of the underlying mechanisms involved. In this review, we outline the current state of research on the intratumoral microbiota and describe the challenges and comprehensive strategies for future research.
Collapse
Affiliation(s)
- Ying-Qi Lu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P.R. China
| | - Han Qiao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P.R. China
| | - Xi-Rong Tan
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P.R. China
| | - Na Liu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P.R. China.
| |
Collapse
|
9
|
Miao S, Qiu H. The microbiome in the pathogenesis of lung cancer: The role of microbiome in lung cancer pathogenesis. APMIS 2024; 132:68-80. [PMID: 37974493 DOI: 10.1111/apm.13359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/23/2023] [Indexed: 11/19/2023]
Abstract
As one of the malignant tumors with high incidence rate and high mortality, lung cancer seriously threatens the life safety of patients. Research shows that microorganisms are closely related to lung cancer. The microbiome is symbiotic with the host and plays a vital role in the functions of the human body. Microbiota dysbiosis is correlated with development of lung cancer. However, the underlying mechanisms are poorly understood. This paper summarizes the composition characteristics of the gut-lung axis microbiome and intratumoral microbiome in patients with lung cancer. We then expound five potential carcinogenic mechanisms based on microorganisms, such as genotoxicity, metabolism, inflammation, immune response, and angiogenesis. Next, we list three high-throughput sequencing methods, and finally looks forward to the prospect of microorganisms as novel targets for early diagnosis and treatment of lung cancer.
Collapse
Affiliation(s)
- Sainan Miao
- School of Nursing, Anhui Medical University, Hefei, China
| | - Huan Qiu
- School of Nursing, Anhui Medical University, Hefei, China
| |
Collapse
|
10
|
Pereira-Marques J, Ferreira RM, Figueiredo C. A metatranscriptomics strategy for efficient characterization of the microbiome in human tissues with low microbial biomass. Gut Microbes 2024; 16:2323235. [PMID: 38425025 PMCID: PMC10913719 DOI: 10.1080/19490976.2024.2323235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/21/2024] [Indexed: 03/02/2024] Open
Abstract
The high background of host RNA poses a major challenge to metatranscriptome analysis of human samples. Hence, metatranscriptomics has been mainly applied to microbe-rich samples, while its application in human tissues with low ratio of microbial to host cells has yet to be explored. Since there is no computational workflow specifically designed for the taxonomic and functional analysis of this type of samples, we propose an effective metatranscriptomics strategy to accurately characterize the microbiome in human tissues with a low ratio of microbial to host content. We experimentally generated synthetic samples with well-characterized bacterial and host cell compositions, and mimicking human samples with high and low microbial loads. These synthetic samples were used for optimizing and establishing the workflow in a controlled setting. Our results show that the integration of the taxonomic analysis of optimized Kraken 2/Bracken with the functional analysis of HUMAnN 3 in samples with low microbial content, enables the accurate identification of a large number of microbial species with a low false-positive rate, while improving the detection of microbial functions. The effectiveness of our metatranscriptomics workflow was demonstrated in synthetic samples, simulated datasets, and most importantly, human gastric tissue specimens, thus providing a proof of concept for its applicability on mucosal tissues of the gastrointestinal tract. The use of an accurate and reliable metatranscriptomics approach for human tissues with low microbial content will expand our understanding of the functional activity of the mucosal microbiome, uncovering critical interactions between the microbiome and the host in health and disease.
Collapse
Affiliation(s)
- Joana Pereira-Marques
- i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Ipatimup – Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
| | - Rui M. Ferreira
- i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Ipatimup – Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
| | - Ceu Figueiredo
- i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Ipatimup – Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
- Department of Pathology, Faculty of Medicine of the University of Porto, Porto, Portugal
| |
Collapse
|
11
|
Liu Z, Liu J, Geng J, Wu E, Zhu J, Cong B, Wu R, Sun H. Metatranscriptomic characterization of six types of forensic samples and its potential application to body fluid/tissue identification: A pilot study. Forensic Sci Int Genet 2024; 68:102978. [PMID: 37995518 DOI: 10.1016/j.fsigen.2023.102978] [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: 06/02/2023] [Revised: 10/21/2023] [Accepted: 11/13/2023] [Indexed: 11/25/2023]
Abstract
Microorganisms are potential markers for identifying body fluids (venous and menstrual blood, semen, saliva, and vaginal secretion) and skin tissue in forensic genetics. Existing published studies have mainly focused on investigating microbial DNA by 16 S rRNA gene sequencing or metagenome shotgun sequencing. We rarely find microbial RNA level investigations on common forensic body fluid/tissue. Therefore, the use of metatranscriptomics to characterize common forensic body fluids/tissue has not been explored in detail, and the potential application of metatranscriptomics in forensic science remains unknown. Here, we performed 30 metatranscriptome analyses on six types of common forensic sample from healthy volunteers by massively parallel sequencing. After quality control and host RNA filtering, a total of 345,300 unigenes were assembled from clean reads. Four kingdoms, 137 phyla, 267 classes, 488 orders, 985 families, 2052 genera, and 4690 species were annotated across all samples. Alpha- and beta-diversity and differential analysis were also performed. As a result, the saliva and skin groups demonstrated high alpha diversity (Simpson index), while the venous blood group exhibited the lowest diversity despite a high Chao1 index. Specifically, we discussed potential microorganism contamination and the "core microbiome," which may be of special interest to forensic researchers. In addition, we implemented and evaluated artificial neural network (ANN), random forest (RF), and support vector machine (SVM) models for forensic body fluid/tissue identification (BFID) using genus- and species-level metatranscriptome profiles. The ANN and RF prediction models discriminated six forensic body fluids/tissue, demonstrating that the microbial RNA-based method could be applied to BFID. Unlike metagenomic research, metatranscriptomic analysis can provide information about active microbial communities; thus, it may have greater potential to become a powerful tool in forensic science for microbial-based individual identification. This study represents the first attempt to explore the application potential of metatranscriptome profiles in forensic science. Our findings help deepen our understanding of the microorganism community structure at the RNA level and are beneficial for other forensic applications of metatranscriptomics.
Collapse
Affiliation(s)
- Zhiyong Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Jiajun Liu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Jiaojiao Geng
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Enlin Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China
| | - Jianzhang Zhu
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou 510080, China
| | - Bin Cong
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Shijiazhuang 050017, China.
| | - Riga Wu
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China.
| | - Hongyu Sun
- Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China; Guangdong Province Translational Forensic Medicine Engineering Technology Research Center, Sun Yat-sen University, Guangzhou 510080, China.
| |
Collapse
|
12
|
Tan A, Murugapiran S, Mikalauskas A, Koble J, Kennedy D, Hyde F, Ruotti V, Law E, Jensen J, Schroth GP, Macklaim JM, Kuersten S, LeFrançois B, Gohl DM. Rational probe design for efficient rRNA depletion and improved metatranscriptomic analysis of human microbiomes. BMC Microbiol 2023; 23:299. [PMID: 37864136 PMCID: PMC10588151 DOI: 10.1186/s12866-023-03037-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/03/2023] [Indexed: 10/22/2023] Open
Abstract
The microbiota that colonize the human gut and other tissues are dynamic, varying both in composition and functional state between individuals and over time. Gene expression measurements can provide insights into microbiome composition and function. However, efficient and unbiased removal of microbial ribosomal RNA (rRNA) presents a barrier to acquiring metatranscriptomic data. Here we describe a probe set that achieves efficient enzymatic rRNA removal of complex human-associated microbial communities. We demonstrate that the custom probe set can be further refined through an iterative design process to efficiently deplete rRNA from a range of human microbiome samples. Using synthetic nucleic acid spike-ins, we show that the rRNA depletion process does not introduce substantial quantitative error in gene expression profiles. Successful rRNA depletion allows for efficient characterization of taxonomic and functional profiles, including during the development of the human gut microbiome. The pan-human microbiome enzymatic rRNA depletion probes described here provide a powerful tool for studying the transcriptional dynamics and function of the human microbiome.
Collapse
Affiliation(s)
- Asako Tan
- Illumina, Inc, Madison, WI, 53719, USA
| | | | | | - Jeff Koble
- Illumina, Inc, San Diego, CA, 92122, USA
| | | | - Fred Hyde
- Illumina, Inc, Madison, WI, 53719, USA
| | | | - Emily Law
- Diversigen, Inc, New Brighton, MN, 55112, USA
| | | | | | | | | | | | - Daryl M Gohl
- Diversigen, Inc, New Brighton, MN, 55112, USA.
- University of Minnesota Genomics Center, Minneapolis, MN, 55455, USA.
- Department of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, MN, 55455, USA.
| |
Collapse
|
13
|
Salas-Espejo E, Terrón-Camero LC, Ruiz JL, Molina NM, Andrés-León E. Exploring the Microbiome in Human Reproductive Tract: High-Throughput Methods for the Taxonomic Characterization of Microorganisms. Semin Reprod Med 2023; 41:125-143. [PMID: 38320576 DOI: 10.1055/s-0044-1779025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Microorganisms are important due to their widespread presence and multifaceted roles across various domains of life, ecology, and industries. In humans, they underlie the proper functioning of multiple systems crucial to well-being, including immunological and metabolic functions. Emerging research addressing the presence and roles of microorganisms within human reproduction is increasingly relevant. Studies implementing new methodologies (e.g., to investigate vaginal, uterine, and semen microenvironments) can now provide relevant insights into fertility, reproductive health, or pregnancy outcomes. In that sense, cutting-edge sequencing techniques, as well as others such as meta-metabolomics, culturomics, and meta-proteomics, are becoming more popular and accessible worldwide, allowing the characterization of microbiomes at unprecedented resolution. However, they frequently involve rather complex laboratory protocols and bioinformatics analyses, for which researchers may lack the required expertise. A suitable pipeline would successfully enable both taxonomic classification and functional profiling of the microbiome, providing easy-to-understand biological interpretations. However, the selection of an appropriate methodology would be crucial, as it directly impacts the reproducibility, accuracy, and quality of the results and observations. This review focuses on the different current microbiome-related techniques in the context of human reproduction, encompassing niches like vagina, endometrium, and seminal fluid. The most standard and reliable methods are 16S rRNA gene sequencing, metagenomics, and meta-transcriptomics, together with complementary approaches including meta-proteomics, meta-metabolomics, and culturomics. Finally, we also offer case examples and general recommendations about the most appropriate methods and workflows and discuss strengths and shortcomings for each technique.
Collapse
Affiliation(s)
- Eduardo Salas-Espejo
- Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain
| | - Laura C Terrón-Camero
- Bioinformatics Unit, Institute of Parasitology and Biomedicine "López-Neyra" (IPBLN), CSIC, Granada, Spain
| | - José L Ruiz
- Bioinformatics Unit, Institute of Parasitology and Biomedicine "López-Neyra" (IPBLN), CSIC, Granada, Spain
| | - Nerea M Molina
- Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain
| | - Eduardo Andrés-León
- Bioinformatics Unit, Institute of Parasitology and Biomedicine "López-Neyra" (IPBLN), CSIC, Granada, Spain
| |
Collapse
|