501
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Ding Z, Wang W, Zhang K, Ming F, Yangdai T, Xu T, Shi H, Bao Y, Yao H, Peng H, Han C, Jiang W, Liu J, Hou X, Lin R. Novel scheme for non-invasive gut bioinformation acquisition with a magnetically controlled sampling capsule endoscope. Gut 2021; 70:2297-2306. [PMID: 33452177 DOI: 10.1136/gutjnl-2020-322465] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 01/01/2021] [Accepted: 01/04/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Intestinal flora and metabolites are associated with multiple systemic diseases. Current approaches for acquiring information regarding microbiota/metabolites have limitations. We aimed to develop a precise magnetically controlled sampling capsule endoscope (MSCE) for the convenient, non-invasive and accurate acquisition of digestive bioinformation for disease diagnosis and evaluation. DESIGN The MSCE and surgery were both used for sampling both jejunal and ileal GI content in the control and antibiotic-induced diarrhoea groups. The GI content was then used for microbiome profiling and metabolomics profiling. RESULTS Compared with surgery, our data showed that the MSCE precisely acquired data regarding the intestinal flora and metabolites, which was effectively differentiated in different intestinal regions and disease models. Using MSCE, we detected a dramatic decrease in the abundance of Bacteroidetes, Patescibacteria and Actinobacteria and hippuric acid levels, as well as an increase in the abundance of Escherichia-Shigella and the 2-pyrrolidinone levels were detected in the antibiotic-induced diarrhoea model by MSCE. MSCE-mediated sampling revealed specific gut microbiota/metabolites including Enterococcus, Lachnospiraceae, acetyl-L-carnitine and succinic acid, which are related to metabolic diseases, cancers and nervous system disorders. Additionally, the MSCE exhibited good sealing characteristics with no contamination after sampling. CONCLUSIONS We present a newly developed MSCE that can non-invasively and accurately acquire intestinal bioinformation via direct visualization under magnetic control, which may further aid in disease prevention, diagnosis, prognosis and treatment.
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Affiliation(s)
- Zhen Ding
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weijun Wang
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Zhang
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fanhua Ming
- R&D department, ANKON Technologies, Wuhan, China
| | | | - Tao Xu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiying Shi
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhui Bao
- R&D department, ANKON Technologies, Wuhan, China
| | - Hailing Yao
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hangyu Peng
- R&D department, ANKON Technologies, Wuhan, China
| | - Chaoqun Han
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiwei Jiang
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Liu
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohua Hou
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rong Lin
- Division of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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502
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Liang J, Zhang M, Wang X, Ren Y, Yue T, Wang Z, Gao Z. Edible fungal polysaccharides, the gut microbiota, and host health. Carbohydr Polym 2021; 273:118558. [PMID: 34560969 DOI: 10.1016/j.carbpol.2021.118558] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 08/05/2021] [Accepted: 08/11/2021] [Indexed: 12/11/2022]
Abstract
The plasticity of the gut microbiota (GM) creates an opportunity to reshape the biological output of gut microbes by manipulating external factors. It is well known that edible fungal polysaccharides (EFPs) can reach the distal intestine and be assimilated to reshape the GM. The GM has unique devices that utilize various EFPs and produce oligosaccharides, which can selectively promote the growth of beneficial bacteria and are fermented into short-chain fatty acids that interact closely with intestinal cells. Here we review EFPs-based interventions for the GM, particularly the key microorganisms, functions, and metabolites. In addition, we discuss the bi-directional causality between GM imbalance and diseases, and the beneficial effects of EFPs on host health via GM. This review can offer a valuable reference for the design of edible fungal polysaccharide- or oligosaccharide-based nutrition interventions or drug development for maintaining human health by targeted regulation of the GM.
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Affiliation(s)
- Jingjing Liang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Meina Zhang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xingnan Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yichen Ren
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Tianli Yue
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhouli Wang
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhenpeng Gao
- College of Food Science and Engineering, Northwest A&F University, Yangling, Shaanxi 712100, China.
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503
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The Role of Diet and Lifestyle in Early-Onset Colorectal Cancer: A Systematic Review. Cancers (Basel) 2021; 13:cancers13235933. [PMID: 34885046 PMCID: PMC8657307 DOI: 10.3390/cancers13235933] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 11/16/2021] [Accepted: 11/24/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary This systematic review sifted through the exogenous dietary and lifestyle risk factors associated with early-onset colorectal cancer, going through the putative involvement of these exogenous risk factors in epigenetic and microbiota modifications. Given the burden of early-onset colorectal cancer and its globally increasing trend with scant literature on its pathogenesis, we believe it would be of benefit to highlight the importance of further systematic and large studies. Indeed, dietary and lifestyle modification could complement colorectal screening for early-onset colorectal cancer prevention. Abstract The incidence of early-onset colorectal cancer, defined as colorectal cancer occurring in young adults under the age of 50, is increasing globally. Knowledge of the etiological factors in young adults is far from complete. Questionable eoCRCs’ exogenous factors are represented by processed meat, sugary drinks, alcohol, Western dietary pattern, overweight and obesity, physical inactivity, and smoking, though with heterogeneous results. Therefore, we performed a systematic review to summarize the current evidence on the role of diet and lifestyle as eoCRC risk factors. We systematically searched PubMed, Scopus, and EMBASE up to July 2021, for original studies evaluating diet, alcohol, physical activity, BMI, and smoking in eoCRC and included twenty-six studies. Indeed, the exogenous factors could represent modifiable key factors, whose recognition could establish areas of future interventions through public health strategies for eoCRC primary prevention. Additionally, we discussed the role of additional non-modifiable risk factors, and of epigenetic regulation and microbiota as mediators of the eoCRC triggered by diet and lifestyle.
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504
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Hertel J, Heinken A, Martinelli F, Thiele I. Integration of constraint-based modeling with fecal metabolomics reveals large deleterious effects of Fusobacterium spp. on community butyrate production. Gut Microbes 2021; 13:1-23. [PMID: 34057024 PMCID: PMC8168482 DOI: 10.1080/19490976.2021.1915673] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Characterizing the metabolic functions of the gut microbiome in health and disease is pivotal for translating alterations in microbial composition into clinical insights. Two major analysis paradigms have been used to explore the metabolic functions of the microbiome but not systematically integrated with each other: statistical screening approaches, such as metabolome-microbiome association studies, and computational approaches, such as constraint-based metabolic modeling. To combine the strengths of the two analysis paradigms, we herein introduce a set of theoretical concepts allowing for the population statistical treatment of constraint-based microbial community models. To demonstrate the utility of the theoretical framework, we applied it to a public metagenomic dataset consisting of 365 colorectal cancer (CRC) cases and 251 healthy controls, shining a light on the metabolic role of Fusobacterium spp. in CRC. We found that (1) glutarate production capability was significantly enriched in CRC microbiomes and mechanistically linked to lysine fermentation in Fusobacterium spp., (2) acetate and butyrate production potentials were lowered in CRC, and (3) Fusobacterium spp. presence had large negative ecological effects on community butyrate production in CRC cases and healthy controls. Validating the model predictions against fecal metabolomics, the in silico frameworks correctly predicted in vivo species metabolite correlations with high accuracy. In conclusion, highlighting the value of combining statistical association studies with in silico modeling, this study provides insights into the metabolic role of Fusobacterium spp. in the gut, while providing a proof of concept for the validity of constraint-based microbial community modeling.
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Affiliation(s)
- Johannes Hertel
- School of Medicine, National University of Galway, Galway, Ireland,Department of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany
| | - Almut Heinken
- School of Medicine, National University of Galway, Galway, Ireland,Ryan Institute, National University of Galway, Galway, Ireland
| | - Filippo Martinelli
- School of Medicine, National University of Galway, Galway, Ireland,Ryan Institute, National University of Galway, Galway, Ireland
| | - Ines Thiele
- School of Medicine, National University of Galway, Galway, Ireland,Ryan Institute, National University of Galway, Galway, Ireland,Discipline of Microbiology, National University of Galway, Galway, Ireland,APC Microbiome Ireland, University College Cork, Cork, Ireland,CONTACT Ines Thiele School of Medicine, National University of Galway, Galway, Ireland
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505
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Qian J, Lu J, Huang Y, Wang M, Chen B, Bao J, Wang L, Cui D, Luo B, Yan F. Periodontitis Salivary Microbiota Worsens Colitis. J Dent Res 2021; 101:559-568. [PMID: 34796773 DOI: 10.1177/00220345211049781] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Evidence suggests that periodontitis contributes to the pathogenesis of inflammatory bowel disease, including Crohn's disease and ulcerative colitis. However, few studies have examined the role of swallowing and saliva in the pathogenesis of gastrointestinal diseases. Saliva contains an enormous number of oral bacteria and is swallowed directly into the intestine. Here, we explored the influence of periodontitis salivary microbiota on colonic inflammation and possible mechanisms in dextran sulfate sodium (DSS)-induced colitis. The salivary microbiota was collected from healthy individuals and those with periodontitis and gavaged to C57BL/6 mice. Periodontitis colitis was induced by DSS for 5 d and ligature for 1 wk. The degree of colon inflammation was evaluated through hematoxylin and eosin staining, ELISA, and quantitative real-time polymerase chain reaction. Immune parameters were measured with quantitative real-time polymerase chain reaction, flow cytometry, and immunofluorescence. The gut microbiota and metabolome analyses were performed via 16S rRNA gene sequencing and liquid chromatography-mass spectrometry. Although no significant colitis-associated phenotypic changes were found under physiologic conditions, periodontitis salivary microbiota exacerbated colitis in a periodontitis colitis model after DSS induction. The immune response more closely resembled the pathology of ulcerative colitis, including aggravated macrophage M2 polarization and Th2 cell induction (T helper 2). Inflammatory bowel disease-associated microbiota, such as Blautia, Helicobacter, and Ruminococcus, were changed in DSS-induced colitis after periodontitis salivary microbiota gavage. Periodontitis salivary microbiota decreased unsaturated fatty acid levels and increased arachidonic acid metabolism in DSS-induced colitis, which was positively correlated with Aerococcus and Ruminococcus, suggesting the key role of these metabolic events and microbes in the exacerbating effect of periodontitis salivary microbiota on experimental colitis. Our study demonstrated that periodontitis contributes to the pathogenesis of colitis through the swallowing of salivary microbiota, confirming the role of periodontitis in systemic disease and providing new insights into the etiology of gastrointestinal inflammatory diseases.
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Affiliation(s)
- J Qian
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - J Lu
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - Y Huang
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - M Wang
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - B Chen
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - J Bao
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - L Wang
- Center for Translational Medicine and Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China
| | - D Cui
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - B Luo
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
| | - F Yan
- Affiliated Stomatological Hospital, Medical School of Nanjing University, Nanjing, China
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506
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Kinugasa H, Kanzaki H, Tanaka T, Yamamoto S, Yamasaki Y, Nouso K, Ichimura K, Nakagawa M, Mitsuhashi T, Okada H. The Impact of KRAS Mutation in Patients With Sporadic Nonampullary Duodenal Epithelial Tumors. Clin Transl Gastroenterol 2021; 12:e00424. [PMID: 34797780 PMCID: PMC8604005 DOI: 10.14309/ctg.0000000000000424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 09/23/2021] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION The genomic characterization of primary nonampullary duodenal adenocarcinoma indicates a genetic resemblance to gastric and colorectal cancers. However, a correlation between the clinical and molecular characteristics of these cancers has not been established. This study aimed to elucidate the clinicopathological features of sporadic nonampullary duodenal epithelial tumors, including their molecular characteristics and prognostic factors. METHODS One hundred forty-eight patients with sporadic nonampullary duodenal epithelial tumors were examined in this study. Patient sex, age, TNM stage, tumor location, treatment methods, histology, KRAS mutation, BRAF mutation, Fusobacterium nucleatum, mucin phenotype, and programmed death-ligand 1 (PD-L1) status were evaluated. KRAS and BRAF mutations, Fusobacterium nucleatum, mucin phenotype, and PD-L1 status were analyzed by direct sequencing, quantitative polymerase chain reaction, and immunochemical staining. RESULTS The median follow-up duration was 119.4 months. There were no deaths from duodenal adenoma (the primary disease). Kaplan-Meier analysis for duodenal adenocarcinoma showed a significant effect of TNM stage (P < 0.01). In univariate analysis of primary deaths from duodenal adenocarcinoma, TNM stage II or higher, undifferentiated, KRAS mutations, gastric phenotype, intestinal phenotype, and PD-L1 status were significant factors. In multivariate analysis, TNM stage II or higher (hazard ratio: 1.63 × 1010, 95% confidence interval: 18.66-6.69 × 1036) and KRAS mutation (hazard ratio: 3.49, confidence interval: 1.52-7.91) were significant factors. DISCUSSION Only KRAS mutation was a significant prognostic factor in primary sporadic nonampullary duodenal adenocarcinoma in cases in which TNM stage was considered.
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Affiliation(s)
- Hideaki Kinugasa
- Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Kita-ku, Okayama, Japan
| | - Hiromitsu Kanzaki
- Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Kita-ku, Okayama, Japan
| | - Takehiro Tanaka
- Department of Pathology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Kita-ku, Okayama, Japan
| | - Shumpei Yamamoto
- Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Kita-ku, Okayama, Japan
| | - Yasushi Yamasaki
- Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Kita-ku, Okayama, Japan
| | - Kazuhiro Nouso
- Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Kita-ku, Okayama, Japan
| | - Kouichi Ichimura
- Department of Pathology, Hiroshima City Hiroshima Citizens Hospital, Naka-ku, Hirosima, Japan
| | - Masahiro Nakagawa
- Department of Endoscopy, Hiroshima City Hiroshima Citizens Hospital, Naka-ku, Hirosima, Japan
| | - Toshiharu Mitsuhashi
- Center for Innovative Clinical Medicine, Okayama University Hospital, Okayama, Japan
| | - Hiroyuki Okada
- Department of Gastroenterology and Hepatology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Kita-ku, Okayama, Japan
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507
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Nie M, Yao K, Zhu X, Chen N, Xiao N, Wang Y, Peng B, Yao L, Li P, Zhang P, Hu Z. Evolutionary metabolic landscape from preneoplasia to invasive lung adenocarcinoma. Nat Commun 2021; 12:6479. [PMID: 34759281 PMCID: PMC8580984 DOI: 10.1038/s41467-021-26685-y] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 10/12/2021] [Indexed: 12/13/2022] Open
Abstract
Metabolic reprogramming evolves during cancer initiation and progression. However, thorough understanding of metabolic evolution from preneoplasia to lung adenocarcinoma (LUAD) is still limited. Here, we perform large-scale targeted metabolomics on resected lesions and plasma obtained from invasive LUAD and its precursors, and decipher the metabolic trajectories from atypical adenomatous hyperplasia (AAH) to adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IAC), revealing that perturbed metabolic pathways emerge early in premalignant lesions. Furthermore, three panels of plasma metabolites are identified as non-invasive predictive biomarkers to distinguish IAC and its precursors with benign diseases. Strikingly, metabolomics clustering defines three metabolic subtypes of IAC patients with distinct clinical characteristics. We identify correlation between aberrant bile acid metabolism in subtype III with poor clinical features and demonstrate dysregulated bile acid metabolism promotes migration of LUAD, which could be exploited as potential targetable vulnerability and for stratifying patients. Collectively, the comprehensive landscape of the metabolic evolution along the development of LUAD will improve early detection and provide impactful therapeutic strategies.
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Affiliation(s)
- Meng Nie
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China
| | - Ke Yao
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China
| | - Xinsheng Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Na Chen
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China
| | - Nan Xiao
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China
| | - Yi Wang
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China
| | - Bo Peng
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China
| | - LiAng Yao
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China
| | - Peng Li
- Institute of Metabolism and Integrative Biology, Fudan University, Shanghai, 200438, China
- Shanghai Qi Zhi Institute, Shanghai, 200030, China
- School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
| | - Zeping Hu
- School of Pharmaceutical Sciences, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, 100084, China.
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508
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Zhang W, An Y, Qin X, Wu X, Wang X, Hou H, Song X, Liu T, Wang B, Huang X, Cao H. Gut Microbiota-Derived Metabolites in Colorectal Cancer: The Bad and the Challenges. Front Oncol 2021; 11:739648. [PMID: 34733783 PMCID: PMC8558397 DOI: 10.3389/fonc.2021.739648] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 09/29/2021] [Indexed: 12/12/2022] Open
Abstract
Accumulating evidence from studies in humans and animal models has elucidated that gut microbiota, acting as a complex ecosystem, contributes critically to colorectal cancer (CRC). The potential mechanisms often reported emphasize the vital role of carcinogenic activities of specific pathogens, but in fact, a series of metabolites produced from exogenous dietary substrates or endogenous host compounds occupy a decisive position similarly. Detrimental gut microbiota-derived metabolites such as trimethylamine-N-oxide, secondary bile acids, hydrogen sulfide and N-nitroso compounds could reconstruct the ecological composition and metabolic activity of intestinal microorganisms and formulate a microenvironment that opens susceptibility to carcinogenic stimuli. They are implicated in the occurrence, progression and metastasis of CRC through different mechanisms, including inducing inflammation and DNA damage, activating tumorigenic signaling pathways and regulating tumor immunity. In this review, we mainly summarized the intimate relationship between detrimental gut microbiota-derived metabolites and CRC, and updated the current knowledge about detrimental metabolites in CRC pathogenesis. Then, multiple interventions targeting these metabolites for CRC management were critically reviewed, including diet modulation, probiotics/prebiotics, fecal microbiota transplantation, as well as more precise measures such as engineered bacteria, phage therapy and chemopreventive drugs. A better understanding of the interplay between detrimental microbial metabolites and CRC would hold great promise against CRC.
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Affiliation(s)
- Wanru Zhang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Yaping An
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Xiali Qin
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Xuemei Wu
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Xinyu Wang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Huiqin Hou
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Xueli Song
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Tianyu Liu
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Bangmao Wang
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
| | - Xuan Huang
- Department of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
| | - Hailong Cao
- Department of Gastroenterology and Hepatology, General Hospital, Tianjin Medical University, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, Tianjin, China
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509
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Yeoh Y, Low TY, Abu N, Lee PY. Regulation of signal transduction pathways in colorectal cancer: implications for therapeutic resistance. PeerJ 2021; 9:e12338. [PMID: 34733591 PMCID: PMC8544255 DOI: 10.7717/peerj.12338] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 09/28/2021] [Indexed: 12/13/2022] Open
Abstract
Resistance to anti-cancer treatments is a critical and widespread health issue that has brought serious impacts on lives, the economy and public policies. Mounting research has suggested that a selected spectrum of patients with advanced colorectal cancer (CRC) tend to respond poorly to both chemotherapeutic and targeted therapeutic regimens. Drug resistance in tumours can occur in an intrinsic or acquired manner, rendering cancer cells insensitive to the treatment of anti-cancer therapies. Multiple factors have been associated with drug resistance. The most well-established factors are the emergence of cancer stem cell-like properties and overexpression of ABC transporters that mediate drug efflux. Besides, there is emerging evidence that signalling pathways that modulate cell survival and drug metabolism play major roles in the maintenance of multidrug resistance in CRC. This article reviews drug resistance in CRC as a result of alterations in the MAPK, PI3K/PKB, Wnt/β-catenin and Notch pathways.
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Affiliation(s)
- Yeelon Yeoh
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nadiah Abu
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Pey Yee Lee
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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510
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Yue B, Gao R, Wang Z, Dou W. Microbiota-Host-Irinotecan Axis: A New Insight Toward Irinotecan Chemotherapy. Front Cell Infect Microbiol 2021; 11:710945. [PMID: 34722328 PMCID: PMC8553258 DOI: 10.3389/fcimb.2021.710945] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 09/23/2021] [Indexed: 12/19/2022] Open
Abstract
Irinotecan (CPT11) and its active metabolite ethyl-10-hydroxy-camptothecin (SN38) are broad-spectrum cytotoxic anticancer agents. Both cause cell death in rapidly dividing cells (e.g., cancer cells, epithelial cells, hematopoietic cells) and commensal bacteria. Therefore, CPT11 can induce a series of toxic side-effects, of which the most conspicuous is gastrointestinal toxicity (nausea, vomiting, diarrhea). Studies have shown that the gut microbiota modulates the host response to chemotherapeutic drugs. Targeting the gut microbiota influences the efficacy and toxicity of CPT11 chemotherapy through three key mechanisms: microbial ecocline, catalysis of microbial enzymes, and immunoregulation. This review summarizes and explores how the gut microbiota participates in CPT11 metabolism and mediates host immune dynamics to affect the toxicity and efficacy of CPT11 chemotherapy, thus introducing a new concept that is called "microbiota-host-irinotecan axis". Also, we emphasize the utilization of bacterial β-glucuronidase-specific inhibitor, dietary interventions, probiotics and strain-engineered interventions as emergent microbiota-targeting strategies for the purpose of improving CPT11 chemotherapy efficiency and alleviating toxicity.
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Affiliation(s)
- Bei Yue
- The MOE Key Laboratory of Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, and the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine (SHUTCM), Shanghai, China
| | - Ruiyang Gao
- The MOE Key Laboratory of Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, and the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine (SHUTCM), Shanghai, China
| | - Zhengtao Wang
- The MOE Key Laboratory of Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, and the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine (SHUTCM), Shanghai, China
| | - Wei Dou
- The MOE Key Laboratory of Standardization of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, and the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine (SHUTCM), Shanghai, China
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Nguyen LH, Cao Y, Hur J, Mehta RS, Sikavi DR, Wang Y, Ma W, Wu K, Song M, Giovannucci EL, Rimm EB, Willett WC, Garrett WS, Izard J, Huttenhower C, Chan AT. The Sulfur Microbial Diet Is Associated With Increased Risk of Early-Onset Colorectal Cancer Precursors. Gastroenterology 2021; 161:1423-1432.e4. [PMID: 34273347 PMCID: PMC8545755 DOI: 10.1053/j.gastro.2021.07.008] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 07/01/2021] [Accepted: 07/09/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Diet may contribute to the increasing incidence of colorectal cancer (CRC) before age 50 (early-onset CRC). Microbial metabolism of dietary sulfur produces hydrogen sulfide (H2S), a gastrointestinal carcinogen that cannot be easily measured at scale. As a result, evidence supporting its role in early neoplasia is lacking. METHODS We evaluated long-term adherence to the sulfur microbial diet, a dietary index defined a priori based on increased abundance of 43 bacterial species involved with sulfur metabolism, with risk of CRC precursors among 59,013 individuals who underwent lower endoscopy in the Nurses' Health Study II (1991-2015), a prospective cohort study with dietary assessment every 4 years through validated food frequency questionnaires and an assessment of dietary intake during adolescence in 1998. The sulfur microbial diet was characterized by intake high in processed meats, foods previously linked to CRC development, and low in mixed vegetables and legumes. Multivariable logistic regression for clustered data was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS We documented 2911 cases of early-onset adenoma. After adjusting for established risk factors, higher sulfur microbial diet scores were associated with increased risk for early-onset adenomas (ORquartile [Q]4 vs Q1, 1.31; 95% CI, 1.10-1.56, Ptrend = .02), but not serrated lesions. Compared with the lowest, women in the highest quartile of sulfur microbial diet scores had significantly increased risk of early-onset adenomas with greater malignant potential (ORQ4 vs Q1, 1.65 for villous/tubulovillous histology; 95% CI, 1.12-2.43; Ptrend = .04). Similar trends for early-onset adenoma were observed based on diet consumed during adolescence. In contrast, no clear association for adenomas was identified after age 50. CONCLUSIONS Our findings in a cohort of young women support a role for dietary interactions with gut sulfur-metabolizing bacteria in early-onset colorectal carcinogenesis, possibly beginning in adolescence.
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Affiliation(s)
- Long H Nguyen
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine in St. Louis, St Louis, Missouri; Alvin J. Siteman Cancer Center, Washington University School of Medicine in St. Louis, St Louis, Missouri; Division of Gastroenterology, Washington University School of Medicine in St. Louis, St Louis, Missouri
| | - Jinhee Hur
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Raaj S Mehta
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Daniel R Sikavi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Yiqing Wang
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Wenjie Ma
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Walter C Willett
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Wendy S Garrett
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Jacques Izard
- Department of Food Science and Technology, University of Nebraska, Lincoln, Nebraska; Nebraska Food for Health Center, University of Nebraska, Lincoln, Nebraska; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Xie Y, Xie F, Zhang L, Zhou X, Huang J, Wang F, Jin J, Zhang L, Zeng L, Zhou F. Targeted Anti-Tumor Immunotherapy Using Tumor Infiltrating Cells. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2101672. [PMID: 34658167 PMCID: PMC8596143 DOI: 10.1002/advs.202101672] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/21/2021] [Indexed: 05/08/2023]
Abstract
In the tumor microenvironment, T cells, B cells, and many other cells play important and distinct roles in anti-tumor immunotherapy. Although the immune checkpoint blockade and adoptive cell transfer can elicit durable clinical responses, only a few patients benefit from these therapies. Increased understanding of tumor-infiltrating immune cells can provide novel therapies and drugs that induce a highly specific anti-tumor immune response to certain groups of patients. Herein, the recent research progress on tumor-infiltrating B cells and T cells, including CD8+ T cells, CD4+ T cells, and exhausted T cells and their role in anti-tumor immunity, is summarized. Moreover, several anti-tumor therapy approaches are discussed based on different immune cells and their prospects for future applications in cancer treatment.
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Affiliation(s)
- Yifan Xie
- School of MedicineZhejiang University City CollegeHangzhou310015China
- College of Life SciencesZhejiang UniversityHangzhou310058China
| | - Feng Xie
- Institutes of Biology and Medical ScienceSoochow UniversitySuzhou215123P. R. China
| | - Lei Zhang
- Department of Orthopaedic SurgeryThe Third Affiliated Hospital of Wenzhou Medical UniversityRui'an325200China
| | - Xiaoxue Zhou
- MOE Key Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling NetworkLife Sciences InstituteZhejiang UniversityHangzhou310058China
| | - Jun Huang
- MOE Key Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling NetworkLife Sciences InstituteZhejiang UniversityHangzhou310058China
| | - Fangwei Wang
- MOE Key Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling NetworkLife Sciences InstituteZhejiang UniversityHangzhou310058China
| | - Jin Jin
- MOE Key Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling NetworkLife Sciences InstituteZhejiang UniversityHangzhou310058China
| | - Long Zhang
- MOE Key Laboratory of Biosystems Homeostasis & Protection and Innovation Center for Cell Signaling NetworkLife Sciences InstituteZhejiang UniversityHangzhou310058China
| | - Linghui Zeng
- School of MedicineZhejiang University City CollegeHangzhou310015China
| | - Fangfang Zhou
- Institutes of Biology and Medical ScienceSoochow UniversitySuzhou215123P. R. China
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513
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Wertman JN, Dunn KA, Kulkarni K. The impact of the host intestinal microbiome on carcinogenesis and the response to chemotherapy. Future Oncol 2021; 17:4371-4387. [PMID: 34448411 DOI: 10.2217/fon-2021-0087] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The microbiome consists of all microbes present on and within the human body. An unbalanced, or 'dysbiotic' intestinal microbiome is associated with inflammatory bowel disease, diabetes and some cancer types. Drug treatment can alter the intestinal microbiome composition. Additionally, some chemotherapeutics interact with microbiome components, leading to changes in drug safety and/or efficacy. The intestinal microbiome is a modifiable target, using strategies such as antibiotic treatment, fecal microbial transplantation or probiotic administration. Understanding the impact of the microbiome on the safety and efficacy of cancer treatment may result in improved treatment outcome. The present review seeks to summarize relevant research and look to the future of cancer treatment, where the intestinal microbiome is recognized as an actionable treatment target.
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Affiliation(s)
- Jaime N Wertman
- Department of Pediatrics/Division of Pediatric Hematology-Oncology, Dalhousie University/IWK Health Centre, Halifax, Canada
- College of Pharmacy, Dalhousie University, Halifax, Canada
| | - Katherine A Dunn
- Department of Pediatrics/Division of Pediatric Hematology-Oncology, Dalhousie University/IWK Health Centre, Halifax, Canada
- Department of Biology, Dalhousie University, Halifax, Canada
| | - Ketan Kulkarni
- Department of Pediatrics/Division of Pediatric Hematology-Oncology, Dalhousie University/IWK Health Centre, Halifax, Canada
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514
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Liu T, Xu P, Du Y, Lu H, Zhao H, Wang T. MZINBVA: variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys. Brief Bioinform 2021; 23:6409694. [PMID: 34718406 DOI: 10.1093/bib/bbab443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/11/2021] [Accepted: 09/28/2021] [Indexed: 01/02/2023] Open
Abstract
As our understanding of the microbiome has expanded, so has the recognition of its critical role in human health and disease, thereby emphasizing the importance of testing whether microbes are associated with environmental factors or clinical outcomes. However, many of the fundamental challenges that concern microbiome surveys arise from statistical and experimental design issues, such as the sparse and overdispersed nature of microbiome count data and the complex correlation structure among samples. For example, in the human microbiome project (HMP) dataset, the repeated observations across time points (level 1) are nested within body sites (level 2), which are further nested within subjects (level 3). Therefore, there is a great need for the development of specialized and sophisticated statistical tests. In this paper, we propose multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys. We develop a variational approximation method for maximum likelihood estimation and inference. It uses optimization, rather than sampling, to approximate the log-likelihood and compute parameter estimates, provides a robust estimate of the covariance of parameter estimates and constructs a Wald-type test statistic for association testing. We evaluate and demonstrate the performance of our method using extensive simulation studies and an application to the HMP dataset. We have developed an R package MZINBVA to implement the proposed method, which is available from the GitHub repository https://github.com/liudoubletian/MZINBVA.
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Affiliation(s)
- Tiantian Liu
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, 800 Dongchuan RD, 200240, Shanghai, China
| | - Peirong Xu
- Department of Breast Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 200127, Shanghai, China
| | - Yueyao Du
- Department of Biostatistics, Yale University, 60 College Stree, CT 06520, New Haven, USA.,MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, 800 Dongchuan RD, 200240, Shanghai, China
| | - Hui Lu
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, 800 Dongchuan RD, 200240, Shanghai, China
| | - Hongyu Zhao
- Department of Biostatistics, Yale University, 60 College Stree, CT 06520, New Haven, USA
| | - Tao Wang
- SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, 800 Dongchuan RD, 200240, Shanghai, China
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515
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Silva M, Brunner V, Tschurtschenthaler M. Microbiota and Colorectal Cancer: From Gut to Bedside. Front Pharmacol 2021; 12:760280. [PMID: 34658896 PMCID: PMC8514721 DOI: 10.3389/fphar.2021.760280] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 09/20/2021] [Indexed: 12/21/2022] Open
Abstract
Colorectal cancer (CRC) is a complex condition with heterogeneous aetiology, caused by a combination of various environmental, genetic, and epigenetic factors. The presence of a homeostatic gut microbiota is critical to maintaining host homeostasis and determines the delicate boundary between health and disease. The gut microbiota has been identified as a key environmental player in the pathogenesis of CRC. Perturbations of the gut microbiota structure (loss of equilibrium and homeostasis) are associated with several intestinal diseases including cancer. Such dysbiosis encompasses the loss of beneficial microorganisms, outgrowth of pathogens and pathobionts and a general loss of local microbiota diversity and richness. Notably, several mechanisms have recently been identified how bacteria induce cellular transformation and promote tumour progression. In particular, the formation of biofilms, the production of toxic metabolites or the secretion of genotoxins that lead to DNA damage in intestinal epithelial cells are newly discovered processes by which the microbiota can initiate tumour formation. The gut microbiota has also been implicated in the metabolism of therapeutic drugs (conventional chemotherapy) as well as in the modulation of radiotherapy responses and targeted immunotherapy. These new findings suggest that the efficacy of a given therapy depends on the composition of the host’s gut microbiota and may therefore vary from patient to patient. In this review we discuss the role of host-microbiota interactions in cancer with a focus on CRC pathogenesis. Additionally, we show how gut bacteria can be exploited in current therapies and how mechanisms directed by microbiota, such as immune cell boost, probiotics and oncolytic bacteria, can be applied in the development of novel therapies.
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Affiliation(s)
- Miguel Silva
- Institute of Molecular Oncology and Functional Genomics, Center for Translational Cancer Research (TranslaTUM), Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,Graduate Program in Areas of Basic and Applied Biology (GABBA)/ICBAS - Institute for the Biomedical Sciences Abel Salazar, Porto University, Porto, Portugal
| | - Valentina Brunner
- Institute for Experimental Cancer Therapy, Center for Translational Cancer Research (TranslaTUM), Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,Department of Internal Medicine II, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Markus Tschurtschenthaler
- Institute for Experimental Cancer Therapy, Center for Translational Cancer Research (TranslaTUM), Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.,Department of Internal Medicine II, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
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516
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Kossenas K, Constantinou C. Epidemiology, Molecular Mechanisms, and Clinical Trials: an Update on Research on the Association Between Red Meat Consumption and Colorectal Cancer. Curr Nutr Rep 2021; 10:435-467. [PMID: 34665439 DOI: 10.1007/s13668-021-00377-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE OF THE REVIEW Colorectal cancer is the second most common cause of cancer death in the world. The aim of this review is to provide an update on recent epidemiological studies, the molecular mechanisms involved, and ongoing clinical trials investigating the relationship between red meat consumption and colorectal cancer. RECENT FINDINGS Evidence in the literature proposes an association between red meat consumption and development of colorectal cancer, and there is some insight with regard to the mechanisms involved. Twenty studies of the IARC report (1990-2015) showed that red meat is positively associated with colorectal cancer whereas 14 studies either supported no positive association or no statistically significant association between red meat consumption and risk for CRC. More recent epidemiological studies conducted from 2016 and onwards provided further evidence that adherence to diets low in red and/or processed meat reduces the risk of colorectal cancer. Evidence from recent studies supports that quantity, doneness, and preparation of red meat play a role in colorectal carcinogenesis. Red meat's degradation products allow for the creation of a pro-inflammatory colonic microenvironment, and the gut microbiome plays a role in colorectal carcinogenesis. Heme, hydrogen sulfide, lipid peroxidation, nitroso compounds, and the bacterium Fusobacterium Nucleatum (as well as possibly other bacteria such as Akkermansia muciniphila, Eubacterium cylindroides, Eubacterium eligens 1 and 2, and Eubacterium rectale 1 and 2) also partake in the process of colorectal carcinogenesis. Several clinical trials are underway investigating the effects of different diets and red meat substitution products on colorectal cancer incidence as well as the underlying molecular mechanisms involved in the process.
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Affiliation(s)
- Konstantinos Kossenas
- Department of Basic and Clinical Sciences, University of Nicosia Medical School, P.O. Box 24005, 21 Ilia Papakyriakou, 2414 Engomi, CY-1700, Nicosia, Cyprus
| | - Constantina Constantinou
- Department of Basic and Clinical Sciences, University of Nicosia Medical School, P.O. Box 24005, 21 Ilia Papakyriakou, 2414 Engomi, CY-1700, Nicosia, Cyprus.
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517
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Muller E, Algavi YM, Borenstein E. A meta-analysis study of the robustness and universality of gut microbiome-metabolome associations. MICROBIOME 2021; 9:203. [PMID: 34641974 PMCID: PMC8507343 DOI: 10.1186/s40168-021-01149-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 08/18/2021] [Indexed: 05/15/2023]
Abstract
BACKGROUND Microbiome-metabolome studies of the human gut have been gaining popularity in recent years, mostly due to accumulating evidence of the interplay between gut microbes, metabolites, and host health. Statistical and machine learning-based methods have been widely applied to analyze such paired microbiome-metabolome data, in the hope of identifying metabolites that are governed by the composition of the microbiome. Such metabolites can be likely modulated by microbiome-based interventions, offering a route for promoting gut metabolic health. Yet, to date, it remains unclear whether findings of microbially associated metabolites in any single study carry over to other studies or cohorts, and how robust and universal are microbiome-metabolites links. RESULTS In this study, we addressed this challenge by performing a comprehensive meta-analysis to identify human gut metabolites that can be predicted based on the composition of the gut microbiome across multiple studies. We term such metabolites "robustly well-predicted". To this end, we processed data from 1733 samples from 10 independent human gut microbiome-metabolome studies, focusing initially on healthy subjects, and implemented a machine learning pipeline to predict metabolite levels in each dataset based on the composition of the microbiome. Comparing the predictability of each metabolite across datasets, we found 97 robustly well-predicted metabolites. These include metabolites involved in important microbial pathways such as bile acid transformations and polyamines metabolism. Importantly, however, other metabolites exhibited large variation in predictability across datasets, suggesting a cohort- or study-specific relationship between the microbiome and the metabolite. Comparing taxonomic contributors to different models, we found that some robustly well-predicted metabolites were predicted by markedly different sets of taxa across datasets, suggesting that some microbially associated metabolites may be governed by different members of the microbiome in different cohorts. We finally examined whether models trained on a control group of a given study successfully predicted the metabolite's level in the disease group of the same study, identifying several metabolites where the model was not transferable, indicating a shift in microbial metabolism in disease-associated dysbiosis. CONCLUSIONS Combined, our findings provide a better understanding of the link between the microbiome and metabolites and allow researchers to put identified microbially associated metabolites within the context of other studies. Video abstract.
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Affiliation(s)
- Efrat Muller
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
| | - Yadid M. Algavi
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Elhanan Borenstein
- The Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Santa Fe Institute, Santa Fe, NM USA
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518
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Krigul KL, Aasmets O, Lüll K, Org T, Org E. Using fecal immunochemical tubes for the analysis of the gut microbiome has the potential to improve colorectal cancer screening. Sci Rep 2021; 11:19603. [PMID: 34599256 PMCID: PMC8486803 DOI: 10.1038/s41598-021-99046-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 09/13/2021] [Indexed: 12/24/2022] Open
Abstract
Colorectal cancer (CRC) is a challenging public health problem which successful treatment depends on the stage at diagnosis. Recently, CRC-specific microbiome signatures have been proposed as a marker for CRC detection. Since many countries have initiated CRC screening programs, it would be useful to analyze the microbiome in the samples collected in fecal immunochemical test (FIT) tubes for fecal occult blood testing. Therefore, we investigated the impact of FIT tubes and stabilization buffer on the microbial community structure evaluated in stool samples from 30 volunteers and compared the detected communities to those of fresh-frozen samples, highlighting previously published cancer-specific communities. Altogether, 214 samples were analyzed by 16S rRNA gene sequencing, including positive and negative controls. Our results indicated that the variation between individuals was greater than the differences introduced by the collection strategy. The vast majority of the genera were stable for up to 7 days. None of the changes observed between fresh-frozen samples and FIT tube specimens were related to previously identified CRC-specific bacteria. Overall, we show that FIT tubes can be used for profiling the microbiota in CRC screening programs. This circumvents the need to collect additional samples and can possibly improve the sensitivity of CRC detection.
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Affiliation(s)
- Kertu Liis Krigul
- Institute of Genomics, Estonian Genome Centre, University of Tartu, 51010, Tartu, Estonia
| | - Oliver Aasmets
- Institute of Genomics, Estonian Genome Centre, University of Tartu, 51010, Tartu, Estonia
| | - Kreete Lüll
- Institute of Genomics, Estonian Genome Centre, University of Tartu, 51010, Tartu, Estonia
| | - Tõnis Org
- Institute of Genomics, Estonian Genome Centre, University of Tartu, 51010, Tartu, Estonia
- Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Elin Org
- Institute of Genomics, Estonian Genome Centre, University of Tartu, 51010, Tartu, Estonia.
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519
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Xue JH, Xie YH, Zou TH, Qian Y, Kang ZR, Zhou CB, Pan SY, Xia TX, Chen YX, Fang JY. Fecal Fusobacterium nucleatum as a predictor for metachronous colorectal adenoma after endoscopic polypectomy. J Gastroenterol Hepatol 2021; 36:2841-2849. [PMID: 34121231 DOI: 10.1111/jgh.15559] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 04/02/2021] [Accepted: 05/19/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIM Fusobacterium nucleatum is increasingly being recognized as an important risk factor in colorectal cancer and colorectal adenoma. Endoscopic polypectomy is associated with a decreased incidence of colorectal cancer; however, patients still suffer from a risk of metachronous adenoma. Currently, there are few effective non-invasive factors that may predict metachronous colorectal adenoma. Here, we evaluated the performance of F. nucleatum in predicting metachronous adenoma. METHODS Fecal samples and clinical information of patients before endoscopic polypectomy were collected from 367 patients in a retrospective cohort, and 238 patients in a prospective cohort. The abundance of fecal F. nucleatum was measured via quantitative polymerase chain reaction. Surveillance colonoscopies were conducted between 1 and 3 years after polypectomy (average follow-up 27.07 months for the retrospective cohort & 22.57 months for the prospective cohort) to identify metachronous adenoma. Candidate predictive factors and cut-off value of F. nucleatum abundance were identified from the retrospective cohort and then validated in the prospective cohort. RESULTS A high abundance of fecal F. nucleatum was found to be an independent risk factor for metachronous adenomas (odds ratio, 6.38; P < 0.001) in the retrospective cohort and was validated in the prospective cohort with a specificity of 65.00%, and a sensitivity of 73.04%, and an overall performance with the area under the curve of 0.73. CONCLUSION Fecal abundance of F. nucleatum may be a reliable predictor for metachronous adenoma after endoscopic polypectomy.
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Affiliation(s)
- Jin-Hui Xue
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuan-Hong Xie
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Tian-Hui Zou
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yun Qian
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zi-Ran Kang
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Cheng-Bei Zhou
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Si-Yuan Pan
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Tian-Xue Xia
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ying-Xuan Chen
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jing-Yuan Fang
- Division of Gastroenterology and Hepatology, Shanghai Institute of Digestive Disease; State Key Laboratory for Oncogenes and Related Genes; Key Laboratory of Gastroenterology & Hepatology, Ministry of Health; Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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520
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Okumura S, Konishi Y, Narukawa M, Sugiura Y, Yoshimoto S, Arai Y, Sato S, Yoshida Y, Tsuji S, Uemura K, Wakita M, Matsudaira T, Matsumoto T, Kawamoto S, Takahashi A, Itatani Y, Miki H, Takamatsu M, Obama K, Takeuchi K, Suematsu M, Ohtani N, Fukunaga Y, Ueno M, Sakai Y, Nagayama S, Hara E. Gut bacteria identified in colorectal cancer patients promote tumourigenesis via butyrate secretion. Nat Commun 2021; 12:5674. [PMID: 34584098 PMCID: PMC8479117 DOI: 10.1038/s41467-021-25965-x] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 09/06/2021] [Indexed: 12/11/2022] Open
Abstract
Emerging evidence is revealing that alterations in gut microbiota are associated with colorectal cancer (CRC). However, very little is currently known about whether and how gut microbiota alterations are causally associated with CRC development. Here we show that 12 faecal bacterial taxa are enriched in CRC patients in two independent cohort studies. Among them, 2 Porphyromonas species are capable of inducing cellular senescence, an oncogenic stress response, through the secretion of the bacterial metabolite, butyrate. Notably, the invasion of these bacteria is observed in the CRC tissues, coinciding with the elevation of butyrate levels and signs of senescence-associated inflammatory phenotypes. Moreover, although the administration of these bacteria into ApcΔ14/+ mice accelerate the onset of colorectal tumours, this is not the case when bacterial butyrate-synthesis genes are disrupted. These results suggest a causal relationship between Porphyromonas species overgrowth and colorectal tumourigenesis which may be due to butyrate-induced senescence. Several bacteria in the gut microbiota have been associated with colorectal cancer (CRC) but it is not completely clear whether they have a role in tumourigenesis. Here, the authors show enrichment of 12 bacterial taxa in two cohorts of CRC patients and that two Porphyromonas species accelerate CRC onset through butyrate secretion.
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Affiliation(s)
- Shintaro Okumura
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan.,The Cancer Institute, Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan.,Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Konishi
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Megumi Narukawa
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Yuki Sugiura
- Keio University School of Medicine, Tokyo, Japan
| | - Shin Yoshimoto
- The Cancer Institute, Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan.,LSI Medience Corporation, Tokyo, Japan
| | - Yuriko Arai
- The Cancer Institute, Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan
| | - Shintaro Sato
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Yasuo Yoshida
- School of Dentistry, Aichi Gakuin University, Nagoya, Japan
| | - Shunya Tsuji
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Ken Uemura
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Masahiro Wakita
- Immunology Frontier Research Centre (IFReC), Osaka University, Suita, Japan
| | - Tatsuyuki Matsudaira
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Tomonori Matsumoto
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Shimpei Kawamoto
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | - Akiko Takahashi
- The Cancer Institute, Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan
| | | | - Hiroaki Miki
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan
| | | | - Kazutaka Obama
- Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kengo Takeuchi
- The Cancer Institute, Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan.,The Cancer Institute Hospital, JFCR, Tokyo, Japan
| | | | - Naoko Ohtani
- Osaka City University Graduate School of Medicine, Osaka, Japan
| | | | - Masashi Ueno
- The Cancer Institute Hospital, JFCR, Tokyo, Japan
| | | | | | - Eiji Hara
- Research Institute for Microbial Diseases (RIMD), Osaka University, Suita, Japan. .,The Cancer Institute, Japanese Foundation for Cancer Research (JFCR), Tokyo, Japan. .,Immunology Frontier Research Centre (IFReC), Osaka University, Suita, Japan.
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521
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Alili R, Belda E, Le P, Wirth T, Zucker JD, Prifti E, Clément K. Exploring Semi-Quantitative Metagenomic Studies Using Oxford Nanopore Sequencing: A Computational and Experimental Protocol. Genes (Basel) 2021; 12:1496. [PMID: 34680891 PMCID: PMC8536095 DOI: 10.3390/genes12101496] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/21/2021] [Accepted: 09/21/2021] [Indexed: 12/11/2022] Open
Abstract
The gut microbiome plays a major role in chronic diseases, of which several are characterized by an altered composition and diversity of bacterial communities. Large-scale sequencing projects allowed for characterizing the perturbations of these communities. However, translating these discoveries into clinical applications remains a challenge. To facilitate routine implementation of microbiome profiling in clinical settings, portable, real-time, and low-cost sequencing technologies are needed. Here, we propose a computational and experimental protocol for whole-genome semi-quantitative metagenomic studies of human gut microbiome with Oxford Nanopore sequencing technology (ONT) that could be applied to other microbial ecosystems. We developed a bioinformatics protocol to analyze ONT sequences taxonomically and functionally and optimized preanalytic protocols, including stool collection and DNA extraction methods to maximize read length. This is a critical parameter for the sequence alignment and classification. Our protocol was evaluated using simulations of metagenomic communities, which reflect naturally occurring compositional variations. Next, we validated both protocols using stool samples from a bariatric surgery cohort, sequenced with ONT, Illumina, and SOLiD technologies. Results revealed similar diversity and microbial composition profiles. This protocol can be implemented in a clinical or research setting, bringing rapid personalized whole-genome profiling of target microbiome species.
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Affiliation(s)
- Rohia Alili
- École Pratique des Hautes Études, PSL University, Les Patios Saint-Jacques, 4-14 Rue Ferrus, 75014 Paris, France; (R.A.); (T.W.); (K.C.)
- Nutrition Department, CRNH, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, 75013 Paris, France
- Nutrition and Obesity, Systemic Approaches (NutriOmics), INSERM, Sorbonne Université, 75013 Paris, France; (P.L.); (J.-D.Z.); (E.P.)
| | - Eugeni Belda
- Unit of Insect Vector Genetics and Genomics, Integrative Phenomics, 8 Rue des Pirogues de Bercy, 75012 Paris, France
| | - Phuong Le
- Nutrition and Obesity, Systemic Approaches (NutriOmics), INSERM, Sorbonne Université, 75013 Paris, France; (P.L.); (J.-D.Z.); (E.P.)
| | - Thierry Wirth
- École Pratique des Hautes Études, PSL University, Les Patios Saint-Jacques, 4-14 Rue Ferrus, 75014 Paris, France; (R.A.); (T.W.); (K.C.)
- Département Systématique et Evolution 16 Rue Buffon, ISYEB, UMR-CNRS, 75231 Paris, France
| | - Jean-Daniel Zucker
- Nutrition and Obesity, Systemic Approaches (NutriOmics), INSERM, Sorbonne Université, 75013 Paris, France; (P.L.); (J.-D.Z.); (E.P.)
- Unité de Modélisation Mathématique et Informatique des Systèmes Complexes, Institute of Research for Development(IRD), Sorbonne Université, 93143 Bondy, France
| | - Edi Prifti
- Nutrition and Obesity, Systemic Approaches (NutriOmics), INSERM, Sorbonne Université, 75013 Paris, France; (P.L.); (J.-D.Z.); (E.P.)
- Unité de Modélisation Mathématique et Informatique des Systèmes Complexes, Institute of Research for Development(IRD), Sorbonne Université, 93143 Bondy, France
| | - Karine Clément
- École Pratique des Hautes Études, PSL University, Les Patios Saint-Jacques, 4-14 Rue Ferrus, 75014 Paris, France; (R.A.); (T.W.); (K.C.)
- Nutrition and Obesity, Systemic Approaches (NutriOmics), INSERM, Sorbonne Université, 75013 Paris, France; (P.L.); (J.-D.Z.); (E.P.)
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522
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Barberis E, Joseph S, Amede E, Clavenna MG, La Vecchia M, Sculco M, Aspesi A, Occhipinti P, Robotti E, Boldorini R, Marengo E, Dianzani I, Manfredi M. A new method for investigating microbiota-produced small molecules in adenomatous polyps. Anal Chim Acta 2021; 1179:338841. [PMID: 34535255 DOI: 10.1016/j.aca.2021.338841] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 06/30/2021] [Accepted: 07/04/2021] [Indexed: 12/24/2022]
Abstract
The intestinal microbiota is composed of a large number of different bacteria that produce a variety of metabolites. Colorectal cancer, which typically develops from adenomatous polyps, is highly influenced by microbiota. Since a variety of molecular changes may occur as these polyps transform from benign tumor to malignant carcinoma, the ability to study the microbiota-produced metabolites can lead to new discoveries about the development and progression of this cancer. However, to address the complexity of the microbiota-produced molecules, novel methods are needed. To this aim, in the present work, we developed a high-throughput metabolomics method to capture the metabolic complexity of the microbiota metabolome adherent to adenomatous polyps and adenocarcinoma. For the first time, the method enables the simultaneous quantification of almost 300 metabolites, while preserving the integrity of the original sample. The metabolomics approach was analytically validated and had excellent performances in terms of recovery, linearity, specificity, intra- and inter-day precision, limits of detection, and quantification. Furthermore, the clinical potential of the method was demonstrated in adenoma collected for a colorectal adenoma study.
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Affiliation(s)
- Elettra Barberis
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy; Center for Translational Research on Autoimmune and Allergic Diseases, University of Piemonte Orientale, Novara, Italy
| | - Soni Joseph
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Elia Amede
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy; Center for Translational Research on Autoimmune and Allergic Diseases, University of Piemonte Orientale, Novara, Italy
| | | | - Marta La Vecchia
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Marika Sculco
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Anna Aspesi
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Pietro Occhipinti
- Department of Gastroenterology, 'Maggiore Della Carità' Hospital, Novara, Italy
| | - Elisa Robotti
- Department of Sciences and Technological Innovation, University of Piemonte Orientale, Novara, Italy
| | - Renzo Boldorini
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Emilio Marengo
- Department of Sciences and Technological Innovation, University of Piemonte Orientale, Novara, Italy
| | - Irma Dianzani
- Department of Health Sciences, University of Piemonte Orientale, Novara, Italy
| | - Marcello Manfredi
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy; Center for Translational Research on Autoimmune and Allergic Diseases, University of Piemonte Orientale, Novara, Italy.
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523
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Guccione C, Yadlapati R, Shah S, Knight R, Curtius K. Challenges in Determining the Role of Microbiome Evolution in Barrett's Esophagus and Progression to Esophageal Adenocarcinoma. Microorganisms 2021; 9:2003. [PMID: 34683324 PMCID: PMC8541168 DOI: 10.3390/microorganisms9102003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 09/15/2021] [Accepted: 09/16/2021] [Indexed: 01/22/2023] Open
Abstract
Esophageal adenocarcinoma (EAC) claims the lives of half of patients within the first year of diagnosis, and its incidence has rapidly increased since the 1970s despite extensive research into etiological factors. The changes in the microbiome within the distal esophagus in modern populations may help explain the growth in cases that other common EAC risk factors together cannot fully explain. The precursor to EAC is Barrett's esophagus (BE), a metaplasia adapted to a reflux-mediated microenvironment that can be challenging to diagnose in patients who do not undergo endoscopic screening. Non-invasive procedures to detect microbial communities in saliva, oral swabs and brushings from the distal esophagus allow us to characterize taxonomic differences in bacterial population abundances within patients with BE versus controls, and may provide an alternative means of BE detection. Unique microbial communities have been identified across healthy esophagus, BE, and various stages of progression to EAC, but studies determining dynamic changes in these communities, including migration from proximal stomach and oral cavity niches, and their potential causal role in cancer formation are lacking. Helicobacter pylori is negatively associated with EAC, and the absence of this species has been implicated in the evolution of chromosomal instability, a main driver of EAC, but joint analyses of microbiome and host genomes are needed. Acknowledging technical challenges, future studies on the prediction of microbial dynamics and evolution within BE and the progression to EAC will require larger esophageal microbiome datasets, improved bioinformatics pipelines, and specialized mathematical models for analysis.
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Affiliation(s)
- Caitlin Guccione
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA;
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA;
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA
| | - Rena Yadlapati
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; (R.Y.); (S.S.)
| | - Shailja Shah
- Division of Gastroenterology, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA; (R.Y.); (S.S.)
- Veterans Affairs, San Diego Healthcare System, San Diego, CA 92161, USA
| | - Rob Knight
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA;
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA 92093, USA
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Kit Curtius
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA;
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA;
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524
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Identification of Faecalibacterium prausnitzii strains for gut microbiome-based intervention in Alzheimer's-type dementia. CELL REPORTS MEDICINE 2021; 2:100398. [PMID: 34622235 PMCID: PMC8484692 DOI: 10.1016/j.xcrm.2021.100398] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 05/29/2021] [Accepted: 08/18/2021] [Indexed: 12/17/2022]
Abstract
Evidence linking the gut-brain axis to Alzheimer’s disease (AD) is accumulating, but the characteristics of causally important microbes are poorly understood. We perform a fecal microbiome analysis in healthy subjects and those with mild cognitive impairment (MCI) and AD. We find that Faecalibacterium prausnitzii (F. prausnitzii) correlates with cognitive scores and decreases in the MCI group compared with the healthy group. Two isolated strains from the healthy group, live Fp360 and pasteurized Fp14, improve cognitive impairment in an AD mouse model. Whole-genome comparison of isolated strains reveals specific orthologs that are found only in the effective strains and are more abundant in the healthy group compared with the MCI group. Metabolome and RNA sequencing analyses of mouse brains provides mechanistic insights into the relationship between the efficacy of pasteurized Fp14, oxidative stress, and mitochondrial function. We conclude that F. prausnitzii strains with these specific orthologs are candidates for gut microbiome-based intervention in Alzheimer's-type dementia. F. prausnitzii decreases in subjects with MCI and correlates with cognitive test scores Isolated F. prausnitzii strains improve Aβ-induced cognitive impairment in mice Comparative genomics reveals specific orthologs in the effective strains Effects of F. prausnitzii relate to oxidative stress and mitochondrial function
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525
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Zhang J, Tao J, Gao RN, Wei ZY, He YS, Ren CY, Li QC, Liu YS, Wang KW, Yang G, Qian C, Chen JH. Cytotoxic T-Cell Trafficking Chemokine Profiles Correlate With Defined Mucosal Microbial Communities in Colorectal Cancer. Front Immunol 2021; 12:715559. [PMID: 34539647 PMCID: PMC8442671 DOI: 10.3389/fimmu.2021.715559] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 07/29/2021] [Indexed: 01/22/2023] Open
Abstract
The involvement of gut microbiota in T-cell trafficking into tumor tissue of colorectal cancer (CRC) remains to be further elucidated. The current study aimed to evaluate the expression of major cytotoxic T-cell trafficking chemokines (CTTCs) and chemokine-associated microbiota profiles in both tumor and adjacent normal tissues during CRC progression. We analyzed the expression of chemokine C-X-C motif ligands 9, 10, and 11 (CXCL9, CXCL10, and CXCL11), and C-C motif ligand 5 (CCL5), characterized gut mucosa-associated microbiota (MAM), and investigated their correlations in CRC patients. Our results showed that the expression of CXCL9, CXCL10, and CXCL11 was significantly higher in tumor than in adjacent normal tissues in 136 CRC patients. Notably, the high expression of CXCL9 in tumor tissues was associated with enhanced CD8+ T-cell infiltration and improved survival. Moreover, the MAM in tumor tissues showed reduction of microbial diversity and increase of oral bacteria. Microbial network analysis identified differences in microbial composition and structure between tumor and adjacent normal tissues. In addition, stronger associations between oral bacteria and other gut microbes were observed. Furthermore, the correlation analysis between the defined MAM and individual CTTCs showed that the CTTCs' correlated operational taxonomic units (OTUs) in tumor and adjacent normal tissues rarely overlap with each other. Notably, all the enriched OTUs were positively correlated with the CTTCs in either tumor or adjacent normal tissues. Our findings demonstrated stronger interactions between oral bacteria and gut microbes, and a shifted correlation pattern between MAM and major CTTCs in tumor tissues, underlining possible mechanisms of gut microbiota-host interaction in CRC.
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Affiliation(s)
- Jiali Zhang
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Central Laboratory, The Fifth People's Hospital of Shanghai Fudan University, Shanghai, China
| | - Ji Tao
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Ruo-Nan Gao
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Zhi-Yuan Wei
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Yu-Shan He
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Chun-Yan Ren
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Qi-Chun Li
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Yan-Shan Liu
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Ke-Wei Wang
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.,Department of Hospital Infection, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Gong Yang
- Central Laboratory, The Fifth People's Hospital of Shanghai Fudan University, Shanghai, China.,Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Chengjia Qian
- Department of General Surgery, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jian-Huan Chen
- Laboratory of Genomic and Precision Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China
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526
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Esvap E, Ulgen KO. Advances in Genome-Scale Metabolic Modeling toward Microbial Community Analysis of the Human Microbiome. ACS Synth Biol 2021; 10:2121-2137. [PMID: 34402617 DOI: 10.1021/acssynbio.1c00140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
A genome-scale metabolic model (GEM) represents metabolic pathways of an organism in a mathematical form and can be built using biochemistry and genome annotation data. GEMs are invaluable for understanding organisms since they analyze the metabolic capabilities and behaviors quantitatively and can predict phenotypes. The development of high-throughput data collection techniques led to an immense increase in omics data such as metagenomics, which expand our knowledge on the human microbiome, but this also created a need for systematic analysis of these data. In recent years, GEMs have also been reconstructed for microbial species, including human gut microbiota, and methods for the analysis of microbial communities have been developed to examine the interaction between the organisms or the host. The purpose of this review is to provide a comprehensive guide for the applications of GEMs in microbial community analysis. Starting with GEM repositories, automatic GEM reconstruction tools, and quality control of models, this review will give insights into microbe-microbe and microbe-host interaction predictions and optimization of microbial community models. Recent studies that utilize microbial GEMs and personalized models to infer the influence of microbiota on human diseases such as inflammatory bowel diseases (IBD) or Parkinson's disease are exemplified. Being powerful system biology tools for both species-level and community-level analysis of microbes, GEMs integrated with omics data and machine learning techniques will be indispensable for studying the microbiome and their effects on human physiology as well as for deciphering the mechanisms behind human diseases.
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Affiliation(s)
- Elif Esvap
- Department of Chemical Engineering, Bogazici University, 34342 Istanbul, Turkey
| | - Kutlu O. Ulgen
- Department of Chemical Engineering, Bogazici University, 34342 Istanbul, Turkey
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527
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Shiao SL, Kershaw KM, Limon JJ, You S, Yoon J, Ko EY, Guarnerio J, Potdar AA, McGovern DPB, Bose S, Dar TB, Noe P, Lee J, Kubota Y, Maymi VI, Davis MJ, Henson RM, Choi RY, Yang W, Tang J, Gargus M, Prince AD, Zumsteg ZS, Underhill DM. Commensal bacteria and fungi differentially regulate tumor responses to radiation therapy. Cancer Cell 2021; 39:1202-1213.e6. [PMID: 34329585 PMCID: PMC8830498 DOI: 10.1016/j.ccell.2021.07.002] [Citation(s) in RCA: 123] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 11/28/2020] [Accepted: 07/01/2021] [Indexed: 12/20/2022]
Abstract
Studies suggest that the efficacy of cancer chemotherapy and immunotherapy is influenced by intestinal bacteria. However, the influence of the microbiome on radiation therapy is not as well understood, and the microbiome comprises more than bacteria. Here, we find that intestinal fungi regulate antitumor immune responses following radiation in mouse models of breast cancer and melanoma and that fungi and bacteria have opposite influences on these responses. Antibiotic-mediated depletion or gnotobiotic exclusion of fungi enhances responsiveness to radiation, whereas antibiotic-mediated depletion of bacteria reduces responsiveness and is associated with overgrowth of commensal fungi. Further, elevated intratumoral expression of Dectin-1, a primary innate sensor of fungi, is negatively associated with survival in patients with breast cancer and is required for the effects of commensal fungi in mouse models of radiation therapy.
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Affiliation(s)
- Stephen L Shiao
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA; Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
| | - Kathleen M Kershaw
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA; F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Jose J Limon
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Sungyong You
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Junhee Yoon
- Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Emily Y Ko
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Jlenia Guarnerio
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Alka A Potdar
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Dermot P B McGovern
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Shikha Bose
- Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Tahir B Dar
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Paul Noe
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Jung Lee
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Yuzu Kubota
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Viviana I Maymi
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Madison J Davis
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Regina M Henson
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Rachel Y Choi
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Wensha Yang
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Jie Tang
- Genomics Core, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Matthew Gargus
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Alexander D Prince
- F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Zachary S Zumsteg
- Department of Radiation Oncology, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - David M Underhill
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA; F. Widjaja Foundation Inflammatory Bowel and Immunobiology Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
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Liu X, Cheng Y, Zang D, Zhang M, Li X, Liu D, Gao B, Zhou H, Sun J, Han X, Lin M, Chen J. The Role of Gut Microbiota in Lung Cancer: From Carcinogenesis to Immunotherapy. Front Oncol 2021; 11:720842. [PMID: 34490119 PMCID: PMC8417127 DOI: 10.3389/fonc.2021.720842] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 07/23/2021] [Indexed: 12/12/2022] Open
Abstract
The influence of microbiota on host health and disease has attracted adequate attention, and gut microbiota components and microbiota-derived metabolites affect host immune homeostasis locally and systematically. Some studies have found that gut dysbiosis, disturbance of the structure and function of the gut microbiome, disrupts pulmonary immune homeostasis, thus leading to increased disease susceptibility; the gut-lung axis is the primary cross-talk for this communication. Gut dysbiosis is involved in carcinogenesis and the progression of lung cancer through genotoxicity, systemic inflammation, and defective immunosurveillance. In addition, the gut microbiome harbors the potential to be a novel biomarker for predicting sensitivity and adverse reactions to immunotherapy in patients with lung cancer. Probiotics and fecal microbiota transplantation (FMT) can enhance the efficacy and depress the toxicity of immune checkpoint inhibitors by regulating the gut microbiota. Although current studies have found that gut microbiota closely participates in the development and immunotherapy of lung cancer, the mechanisms require further investigation. Therefore, this review aims to discuss the underlying mechanisms of gut microbiota influencing carcinogenesis and immunotherapy in lung cancer and to provide new strategies for governing gut microbiota to enhance the prevention and treatment of lung cancer.
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Affiliation(s)
- Xiangjun Liu
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Ye Cheng
- Department of Oncology, The Third Hospital of Dalian Medical University, Dalian, China
| | - Dan Zang
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Min Zhang
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Xiuhua Li
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Dan Liu
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Bing Gao
- Department of Oncology, The Third Hospital of Dalian Medical University, Dalian, China
| | - Huan Zhou
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Jinzhe Sun
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Xu Han
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Meixi Lin
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
| | - Jun Chen
- Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, China
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529
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White B, Sterrett JD, Grigoryan Z, Lally L, Heinze JD, Alikhan H, Lowry CA, Perez LJ, DeSipio J, Phadtare S. Characterization of gut microbiome and metabolome in Helicobacter pylori patients in an underprivileged community in the United States. World J Gastroenterol 2021; 27:5575-5594. [PMID: 34588753 PMCID: PMC8433610 DOI: 10.3748/wjg.v27.i33.5575] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 07/02/2021] [Accepted: 08/13/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Helicobacter pylori (H. pylori), a bacterium that infects approximately half of the world’s population, is associated with various gastrointestinal diseases, including peptic ulcers, non-ulcer dyspepsia, gastric adenocarcinoma, and gastric lymphoma. As the burden of antibiotic resistance increases, the need for new adjunct therapies designed to facilitate H. pylori eradication and reduce negative distal outcomes associated with infection has become more pressing. Characterization of the interactions between H. pylori, the fecal microbiome, and fecal fatty acid metabolism, as well as the mechanisms underlying these interactions, may offer new therapeutic approaches.
AIM To characterize the gut microbiome and metabolome in H. pylori patients in a socioeconomically challenged and underprivileged inner-city community.
METHODS Stool samples from 19 H. pylori patients and 16 control subjects were analyzed. 16S rRNA gene sequencing was performed on normalized pooled amplicons using the Illumina MiSeq System using a MiSeq reagent kit v2. Alpha and beta diversity analyses were performed in QIIME 2. Non-targeted fatty acid analysis of the samples was carried out using gas chromatography-mass spectrometry, which measures the total content of 30 fatty acids in stool after conversion into their corresponding fatty acid methyl esters. Multi-dimensional scaling (MDS) was performed on Bray-Curtis distance matrices created from both the metabolomics and microbiome datasets and a Procrustes test was performed on the metabolomics and microbiome MDS coordinates.
RESULTS Fecal microbiome analysis showed that alpha diversity was lowest in H. pylori patients over 40 years of age compared to control subjects of similar age group. Beta diversity analysis of the samples revealed significant differences in microbial community structure between H. pylori patients and control subjects across all ages. Thirty-eight and six taxa had lower and higher relative abundance in H. pylori patients, respectively. Taxa that were enriched in H. pylori patients included Atopobium, Gemellaceae, Micrococcaceae, Gemellales and Rothia (R. mucilaginosa). Notably, relative abundance of the phylum Verrucomicrobia was decreased in H. pylori patients compared to control subjects. Procrustes analysis showed a significant relationship between the microbiome and metabolome datasets. Stool samples from H. pylori patients showed increases in several fatty acids including the polyunsaturated fatty acids (PUFAs) 22:4n6, 22:5n3, 20:3n6 and 22:2n6, while decreases were noted in other fatty acids including the PUFA 18:3n6. The pattern of changes in fatty acid concentration correlated to the Bacteroidetes:Firmicutes ratio determined by 16S rRNA gene analysis.
CONCLUSION This exploratory study demonstrates H. pylori-associated changes to the fecal microbiome and fecal fatty acid metabolism. Such changes may have implications for improving eradication rates and minimizing associated negative distal outcomes.
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Affiliation(s)
- Brian White
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ 08103, United States
| | - John D Sterrett
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, United States
| | - Zoya Grigoryan
- Department of Internal Medicine, Lenox Hill Hospital, NYC, NY 10075, United States
| | - Lauren Lally
- Department of Internal Medicine, Thomas Jefferson University Hospital, Philadelphia, PA 19107, United States
| | - Jared D Heinze
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, United States
| | - Hyder Alikhan
- Department of Biological Sciences, Rowan University, Glassboro, NJ 08028, United States
| | - Christopher A Lowry
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, United States
| | - Lark J Perez
- Department of Chemistry and Biochemistry, Rowan University, Glassboro, NJ 08028, United States
| | - Joshua DeSipio
- Department of Gastroenterology, Cooper University Hospital, Camden, NJ 08103, United States
| | - Sangita Phadtare
- Department of Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ 08103, United States
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530
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Chen YR, Jing QL, Chen FL, Zheng H, Chen LD, Yang ZC. Desulfovibrio is not always associated with adverse health effects in the Guangdong Gut Microbiome Project. PeerJ 2021; 9:e12033. [PMID: 34466295 PMCID: PMC8380029 DOI: 10.7717/peerj.12033] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 07/30/2021] [Indexed: 01/08/2023] Open
Abstract
Desulfovibrio (DSV) is frequently found in the human intestine but limited knowledge is available regarding the relationship between DSV and host health. In this study, we analyzed large-scale cohort data from the Guangdong Gut Microbiome Project to study the ecology of DSV and the associations of DSV and host health parameters. Phylogenetic analysis showed that Desulfovibrio piger might be the most common and abundant DSV species in the GGMP. Predominant sub-OTUs of DSV were positively associated with bacterial community diversity. The relative abundance of DSV was positively correlated with beneficial genera, including Oscillospira, Coprococcus,Ruminococcus,Akkermansia, Roseburia,Faecalibacterium, andBacteroides, and was negatively associated with harmful genera, such as Clostridium,Escherichia,Klebsiella, and Ralstonia. Moreover, the relative abundance of DSV was negatively correlated with body mass index, waist size, triglyceride levels, and uric acid levels. This suggests that DSV is associated with healthy hosts in some human populations.
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Affiliation(s)
- Yi-Ran Chen
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Qin-Long Jing
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - Fang-Lan Chen
- Department of Intensive Care Unit, Shenzhen Second People's Hospital, Shenzhen, Guangdong, China
| | - Huimin Zheng
- Department of Environmental Health, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Li-Dan Chen
- Department of Laboratory Medicine, General Hospital of Southern Theatre Command of PLA, Guangzhou, Guangdong, China
| | - Zhi-Cong Yang
- Institute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong, China
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531
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Jie Z, Liang S, Ding Q, Li F, Sun X, Lin Y, Chen P, Cai K, Zhou H, Lu H, Wang X, Zhang T, Xiao L, Yang H, Wang J, Hou Y, Kristiansen K, Jia H, Xu X. Disease trends in a young Chinese cohort according to fecal metagenome and plasma metabolites. MEDICINE IN MICROECOLOGY 2021. [DOI: 10.1016/j.medmic.2021.100037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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532
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Wieder C, Frainay C, Poupin N, Rodríguez-Mier P, Vinson F, Cooke J, Lai RPJ, Bundy JG, Jourdan F, Ebbels T. Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis. PLoS Comput Biol 2021; 17:e1009105. [PMID: 34492007 PMCID: PMC8448349 DOI: 10.1371/journal.pcbi.1009105] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 09/17/2021] [Accepted: 08/23/2021] [Indexed: 11/18/2022] Open
Abstract
Over-representation analysis (ORA) is one of the commonest pathway analysis approaches used for the functional interpretation of metabolomics datasets. Despite the widespread use of ORA in metabolomics, the community lacks guidelines detailing its best-practice use. Many factors have a pronounced impact on the results, but to date their effects have received little systematic attention. Using five publicly available datasets, we demonstrated that changes in parameters such as the background set, differential metabolite selection methods, and pathway database used can result in profoundly different ORA results. The use of a non-assay-specific background set, for example, resulted in large numbers of false-positive pathways. Pathway database choice, evaluated using three of the most popular metabolic pathway databases (KEGG, Reactome, and BioCyc), led to vastly different results in both the number and function of significantly enriched pathways. Factors that are specific to metabolomics data, such as the reliability of compound identification and the chemical bias of different analytical platforms also impacted ORA results. Simulated metabolite misidentification rates as low as 4% resulted in both gain of false-positive pathways and loss of truly significant pathways across all datasets. Our results have several practical implications for ORA users, as well as those using alternative pathway analysis methods. We offer a set of recommendations for the use of ORA in metabolomics, alongside a set of minimal reporting guidelines, as a first step towards the standardisation of pathway analysis in metabolomics.
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Affiliation(s)
- Cecilia Wieder
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Clément Frainay
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Nathalie Poupin
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Pablo Rodríguez-Mier
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Florence Vinson
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Juliette Cooke
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
| | - Rachel PJ Lai
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Jacob G. Bundy
- Section of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Fabien Jourdan
- Toxalim (Research Centre in Food Toxicology), Université de Toulouse, INRAE, ENVT, INP-Purpan, UPS, Toulouse, France
- MetaToul-MetaboHUB, National Infrastructure of Metabolomics and Fluxomics, Toulouse, France
| | - Timothy Ebbels
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion, and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
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533
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Arthur RA, Dos Santos Bezerra R, Ximenez JPB, Merlin BL, de Andrade Morraye R, Neto JV, Fava NMN, Figueiredo DLA, de Biagi CAO, Montibeller MJ, Guimarães JB, Alves EG, Schreiner M, da Costa TS, da Silva CFL, Malheiros JM, da Silva LHB, Ribas GT, Achallma DO, Braga CM, Andrade KFA, do Carmo Alves Martins V, Dos Santos GVN, Granatto CF, Terin UC, Sanches IH, Ramos DE, Garay-Malpartida HM, de Souza GMP, Slavov SN, Silva WA. Microbiome and oral squamous cell carcinoma: a possible interplay on iron metabolism and its impact on tumor microenvironment. Braz J Microbiol 2021; 52:1287-1302. [PMID: 34002353 PMCID: PMC8324744 DOI: 10.1007/s42770-021-00491-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 04/06/2021] [Indexed: 12/23/2022] Open
Abstract
There is increasing evidence showing positive association between changes in oral microbiome and the occurrence of oral squamous cell carcinoma (OSCC). Alcohol- and nicotine-related products can induce microbial changes but are still unknown if these changes are related to cancerous lesion sites. In an attempt to understand how these changes can influence the OSCC development and maintenance, the aim of this study was to investigate the oral microbiome linked with OSCC as well as to identify functional signatures and associate them with healthy or precancerous and cancerous sites. Our group used data of oral microbiomes available in public repositories. The analysis included data of oral microbiomes from electronic cigarette users, alcohol consumers, and precancerous and OSCC samples. An R-based pipeline was used for taxonomic and functional prediction analysis. The Streptococcus spp. genus was the main class identified in the healthy group. Haemophilus spp. predominated in precancerous lesions. OSCC samples revealed a higher relative abundance compared with the other groups, represented by an increased proportion of Fusobacterium spp., Prevotella spp., Haemophilus spp., and Campylobacter spp. Venn diagram analysis showed 52 genera exclusive of OSCC samples. Both precancerous and OSCC samples seemed to present a specific associated functional pattern. They were menaquinone-dependent protoporphyrinogen oxidase pattern enhanced in the former and both 3',5'-cyclic-nucleotide phosphodiesterase (purine metabolism) and iron(III) transport system ATP-binding protein enhanced in the latter. We conclude that although precancerous and OSCC samples present some differences on microbial profile, both microbiomes act as "iron chelators-like" potentially contributing to tumor growth.
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Affiliation(s)
- Rodrigo Alex Arthur
- Preventive and Community Dentistry Department, Faculty of Dentistry, Federal University of Rio Grande do Sul, Porto Alegre, RS, 90035-003, Brazil
| | - Rafael Dos Santos Bezerra
- Postgraduate Program in Clinical Oncology, Stem Cells and Cell Therapy, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, National Institute of Science and Technology in Stem Cell and Cell Therapy (INCTC/CNPq), Regional Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501, Ribeirão Preto, SP, 14049-900, Brazil
| | - João Paulo Bianchi Ximenez
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, National Institute of Science and Technology in Stem Cell and Cell Therapy (INCTC/CNPq), Regional Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501, Ribeirão Preto, SP, 14049-900, Brazil
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
| | - Bruna Laís Merlin
- Department of Entomology and Acarology, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil
| | - Raphael de Andrade Morraye
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, National Institute of Science and Technology in Stem Cell and Cell Therapy (INCTC/CNPq), Regional Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501, Ribeirão Preto, SP, 14049-900, Brazil
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
- Ribeirão Preto Medical School, University of Sao Paulo, Ribeirao Preto, SP, 14049-900, Brazil
| | - João Valentini Neto
- Department of Nutrition, School of Public Health, University of Sao Paulo, São Paulo, SP, 01246-904, Brazil
| | - Natália Melo Nasser Fava
- Department of Hydraulics and Sanitation, São Carlos School of Engineering, University of São Paulo, São Carlos, SP, 13563-120, Brazil
| | - David Livingstone Alves Figueiredo
- Institute for Cancer Research (IPEC), Guarapuava, PR, 85015-430, Brazil
- Department of Medicine, UNICENTRO, Guarapuava, PR, 85015-430, Brazil
| | - Carlos Alberto Oliveira de Biagi
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, National Institute of Science and Technology in Stem Cell and Cell Therapy (INCTC/CNPq), Regional Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501, Ribeirão Preto, SP, 14049-900, Brazil
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14049-900, Brazil
| | - Maria Jara Montibeller
- Department of Food and Nutrition, School of Pharmaceutical Sciences, São Paulo State University, Araraquara, SP, Brazil
| | - Jhefferson Barbosa Guimarães
- Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of Sao Paulo, Ribeirão Preto, SP, Brazil
| | - Ellen Gomes Alves
- Undergraduate in Biological Sciences, Institute of Health Sciences, Universidade Paulista, Ribeirão Preto, SP, Brazil
| | - Monique Schreiner
- Graduate Program in Bioinformatics, Professional and Technological Education Sector, Federal University of Paraná, Curitiba, PR, Brazil
| | - Tiago Silva da Costa
- Department of Biological Sciences and Health, Federal University of Amapá, Macapá, AP, Brazil
| | - Charlie Felipe Liberati da Silva
- Graduate Program in Bioinformatics, Professional and Technological Education Sector, Federal University of Paraná, Curitiba, PR, Brazil
| | | | - Luan Henrique Burda da Silva
- Graduate Program in Bioinformatics, Professional and Technological Education Sector, Federal University of Paraná, Curitiba, PR, Brazil
| | - Guilherme Taborda Ribas
- Graduate Program in Bioinformatics, Professional and Technological Education Sector, Federal University of Paraná, Curitiba, PR, Brazil
| | - Daisy Obispo Achallma
- Laboratorios de Investigación y Desarrollo, FARVET, Chincha Alta, Ica, Perú & Centro de Investigación de Genética y Biología Molecular (CIGBM), Universidad de San Martín de Porres, Lima, Perú
| | - Camila Margalho Braga
- Graduate Program in Parasitic Biology in the Amazon, Pará State University, Belém, PA, Brazil
| | - Karen Flaviane Assis Andrade
- Department of Electrical and Biomedical Engineering, Institute of Technology, Federal University of Pará, Belém, PA, Brazil
| | | | | | | | | | - Igor Henrique Sanches
- Institute of Pathology Tropical and Public Health, Federal University of Goiás, Goiânia, GO, Brazil
| | - Diana Estefania Ramos
- Department of Oral; Maxillofacial Surgery, and Periodontology, School of Dentistry of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, Brazil
| | | | - Gabriela Marcelino Pereira de Souza
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, National Institute of Science and Technology in Stem Cell and Cell Therapy (INCTC/CNPq), Regional Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501, Ribeirão Preto, SP, 14049-900, Brazil
| | - Svetoslav Nanev Slavov
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, National Institute of Science and Technology in Stem Cell and Cell Therapy (INCTC/CNPq), Regional Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501, Ribeirão Preto, SP, 14049-900, Brazil
| | - Wilson Araújo Silva
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, National Institute of Science and Technology in Stem Cell and Cell Therapy (INCTC/CNPq), Regional Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501, Ribeirão Preto, SP, 14049-900, Brazil.
- Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, SP, 14049-900, Brazil.
- Center for Cell-Based Therapy (CEPID/FAPESP), Molecular Genetics and Bioinformatics Laboratory - MGBL, Blood Center of Ribeirão Preto, Rua Tenente Catão Roxo, 2501 - 14051-140 Ribeirão Preto, São Paulo, Brasil.
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534
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Hou W, Li J, Cao Z, Lin S, Pan C, Pang Y, Liu J. Decorating Bacteria with a Therapeutic Nanocoating for Synergistically Enhanced Biotherapy. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2101810. [PMID: 34365713 DOI: 10.1002/smll.202101810] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 06/09/2021] [Indexed: 06/13/2023]
Abstract
Disorders in the gut microbiota have been implicated in various diseases, such as inflammatory bowel diseases, diabetes, and cancers. Oral microecologics are of great importance due to their ability to directly intervene the gut microbiome as well as their noninvasiveness and low side effects, while have suffered from low bioavailability and a single therapeutic effect. Here, probiotics are coated with a therapeutic nanocoating for synergistically enhanced biotherapy, a method inspired by the robust protective and therapeutic effectiveness of silkworm cocoon. With its transition from a random coil to β-sheet conformation, silk fibroin can self-assemble onto the surface of bacteria. By a simple layer-by-layer procedure, an entire nanocoating can be formed along with a near quantitative coating ratio and almost uninfluenced bacterial viability. Thanks to its protective barrier role and innate pharmaceutical activity, silk fibroin nanocoating endows the coated bacteria with a markedly improved survival against gastric insults and a synergistically enhanced therapeutic effect in a murine model of intestinal mucositis. This work demonstrates how therapeutic elements can be combined with probiotics via a simple coating strategy and proposes an alternative to enhance bioavailability and treatment efficacy of oral microecologics.
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Affiliation(s)
- Weiliang Hou
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Juanjuan Li
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Zhenping Cao
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Sisi Lin
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Chao Pan
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Yan Pang
- Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Department of Ophthalmology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200011, China
| | - Jinyao Liu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
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535
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Acharya M, Kim T, Li C. Broad-Spectrum Antibiotic Use and Disease Progression in Early-Stage Melanoma Patients: A Retrospective Cohort Study. Cancers (Basel) 2021; 13:4367. [PMID: 34503177 PMCID: PMC8431240 DOI: 10.3390/cancers13174367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 08/24/2021] [Indexed: 11/16/2022] Open
Abstract
Animal studies and a few clinical studies have reported mixed findings on the association between antibiotics and cancer incidence. Antibiotics may inhibit tumor cell growth, but could also alter the gut-microbiome-modulated immune system and increase the risk of cancer. Studies that assess how antibiotics affect the progression of cancer are limited. We evaluated the association between broad-spectrum antibiotic use and melanoma progression. We conducted a retrospective cohort study using IQVIA PharMetrics® Plus data (2008-2018). We identified patients with malignant melanoma who underwent wide local excision or Mohs micrographic surgery within 90 days of first diagnosis. Surgery date was the index date. Patients were excluded if they had any other cancer diagnosis or autoimmune disorders in 1 year before the index date ("baseline"). Exposure to broad-spectrum antibiotics was identified in three time windows using three cohorts: 3 months prior to the index date, 1 month after the index date, and 3 months after the index date. The covariates were patients' demographic and clinical characteristics identified in the 1-year baseline period. The patients were followed from the index date until cancer progression, loss of enrollment, or the end of 2 years after the index date. Progression was defined as: (i) any hospice care after surgery, (ii) a new round of treatment for melanoma (surgery, chemotherapy, immunotherapy, targeted therapy, or radiotherapy) 180 days after prior treatment, or (iii) a metastasis diagnosis or a diagnosis of a new nonmelanoma primary cancer at least 180 days after first melanoma diagnosis or prior treatment. A high-dimensional propensity score approach with inverse weighting was used to adjust for the patients' baseline differences. Cox proportional hazard regression was used for estimating the association. The final samples included 3930, 3831, and 3587 patients (mean age: 56 years). Exposure to antibiotics was 16% in the prior-3-months, 22% in the post-1-month, and 22% in the post-3-months. In the pre-3-months analysis, 9% of the exposed group and 9% of the unexposed group had progressed. Antibiotic use was not associated with melanoma progression (HR: 0.81; 95% CI: 0.57-1.14). However, antibiotic use in subsequent 1 month and subsequent 3 months was associated with 31% reduction (HR: 0.69; 95% CI: 0.51-0.92) and 32% reduction (HR: 0.68; 95% CI: 0.51-0.91) in progression, respectively. In this cohort of patients with likely early-stage melanoma cancer, antibiotic use in 1 month and 3 months after melanoma surgery was associated with a lower risk of melanoma progression. Future studies are warranted to validate the findings.
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Affiliation(s)
- Mahip Acharya
- Division of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences College of Pharmacy, Little Rock, AR 72205, USA;
| | - Thomas Kim
- Department of Radiation Oncology, Rush University Medical College, Chicago, IL 60612, USA;
| | - Chenghui Li
- Division of Pharmaceutical Evaluation and Policy, University of Arkansas for Medical Sciences College of Pharmacy, Little Rock, AR 72205, USA;
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536
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Kim CY, Lee M, Yang S, Kim K, Yong D, Kim HR, Lee I. Human reference gut microbiome catalog including newly assembled genomes from under-represented Asian metagenomes. Genome Med 2021; 13:134. [PMID: 34446072 PMCID: PMC8394144 DOI: 10.1186/s13073-021-00950-7] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 08/05/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Metagenome sampling bias for geographical location and lifestyle is partially responsible for the incomplete catalog of reference genomes of gut microbial species. Thus, genome assembly from currently under-represented populations may effectively expand the reference gut microbiome and improve taxonomic and functional profiling. METHODS We assembled genomes using public whole-metagenomic shotgun sequencing (WMS) data for 110 and 645 fecal samples from India and Japan, respectively. In addition, we assembled genomes from newly generated WMS data for 90 fecal samples collected from Korea. Expecting genome assembly for low-abundance species may require a much deeper sequencing than that usually employed, so we performed ultra-deep WMS (> 30 Gbp or > 100 million read pairs) for the fecal samples from Korea. We consequently assembled 29,082 prokaryotic genomes from 845 fecal metagenomes for the three under-represented Asian countries and combined them with the Unified Human Gastrointestinal Genome (UHGG) to generate an expanded catalog, the Human Reference Gut Microbiome (HRGM). RESULTS HRGM contains 232,098 non-redundant genomes for 5414 representative prokaryotic species including 780 that are novel, > 103 million unique proteins, and > 274 million single-nucleotide variants. This is an over 10% increase from the UHGG. The new 780 species were enriched for the Bacteroidaceae family, including species associated with high-fiber and seaweed-rich diets. Single-nucleotide variant density was positively associated with the speciation rate of gut commensals. We found that ultra-deep sequencing facilitated the assembly of genomes for low-abundance taxa, and deep sequencing (e.g., > 20 million read pairs) may be needed for the profiling of low-abundance taxa. Importantly, the HRGM significantly improved the taxonomic and functional classification of sequencing reads from fecal samples. Finally, analysis of human self-antigen homologs on the HRGM species genomes suggested that bacterial taxa with high cross-reactivity potential may contribute more to the pathogenesis of gut microbiome-associated diseases than those with low cross-reactivity potential by promoting inflammatory condition. CONCLUSIONS By including gut metagenomes from previously under-represented Asian countries, Korea, India, and Japan, we developed a substantially expanded microbiome catalog, HRGM. Information of the microbial genomes and coding genes is publicly available ( www.mbiomenet.org/HRGM/ ). HRGM will facilitate the identification and functional analysis of disease-associated gut microbiota.
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Affiliation(s)
- Chan Yeong Kim
- Department of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, 03722, Korea
| | - Muyoung Lee
- Department of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, 03722, Korea
| | - Sunmo Yang
- Department of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, 03722, Korea
| | - Kyungnam Kim
- Department of Laboratory Medicine, Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, 03722, Korea
| | - Dongeun Yong
- Department of Laboratory Medicine, Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, 03722, Korea
| | - Hye Ryun Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, 03722, Korea
| | - Insuk Lee
- Department of Biotechnology, College of Life Science & Biotechnology, Yonsei University, Seoul, 03722, Korea.
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537
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Tomofuji Y, Maeda Y, Oguro-Igashira E, Kishikawa T, Yamamoto K, Sonehara K, Motooka D, Matsumoto Y, Matsuoka H, Yoshimura M, Yagita M, Nii T, Ohshima S, Nakamura S, Inohara H, Takeda K, Kumanogoh A, Okada Y. Metagenome-wide association study revealed disease-specific landscape of the gut microbiome of systemic lupus erythematosus in Japanese. Ann Rheum Dis 2021; 80:1575-1583. [PMID: 34426398 PMCID: PMC8600607 DOI: 10.1136/annrheumdis-2021-220687] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 07/20/2021] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Alteration of the gut microbiome has been linked to the pathogenesis of systemic lupus erythematosus (SLE). However, a comprehensive view of the gut microbiome in SLE and its interaction with the host remains to be revealed. This study aimed to reveal SLE-associated changes in the gut microbiome and its interaction with the host by a comprehensive metagenome-wide association study (MWAS) followed by integrative analysis. METHODS We performed a MWAS of SLE based on shotgun sequencing of the gut microbial DNA from Japanese individuals (N case=47, N control=203). We integrated the result of the MWAS with the genome-wide association study (GWAS) data and plasma metabolite data. RESULTS Via species level phylogenetic analysis, we identified and validated increases of Streptococcus intermedius and Streptococcus anginosus in the patients with SLE. Microbial gene analysis revealed increases of Streptococcus-derived genes including one involved in redox reaction. Additionally, microbial pathways related to sulfur metabolism and flagella assembly were altered in the patients with SLE. We identified an overlap in the enriched biological pathways between the metagenome and the germline genome by comparing the result of the MWAS and the GWAS of SLE (ie, MWAS-GWAS interaction). α-diversity and β-diversity analyses provided evidence of dysbiosis in the metagenome of the patients with SLE. Microbiome-metabolome association analysis identified positive dosage correlation of acylcarnitine with Streptococcus intermedius, an SLE-associated taxon. CONCLUSION Our MWAS followed by integrative analysis revealed SLE-associated changes in the gut microbiome and its interaction with the host, which contribute to our understanding of the relationship between the microbiome and SLE.
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Affiliation(s)
- Yoshihiko Tomofuji
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuichi Maeda
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan.,Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita, Japan.,Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
| | - Eri Oguro-Igashira
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan.,Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Toshihiro Kishikawa
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.,Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, Suita, Japan.,Department of Head and Neck Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.,Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan.,Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Kyuto Sonehara
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.,Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
| | - Daisuke Motooka
- Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Yuki Matsumoto
- Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Hidetoshi Matsuoka
- Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano, Japan
| | - Maiko Yoshimura
- Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano, Japan
| | - Mayu Yagita
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan.,Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Takuro Nii
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan.,Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Shiro Ohshima
- Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano, Japan
| | - Shota Nakamura
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan.,Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Hidenori Inohara
- Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, Suita, Japan
| | - Kiyoshi Takeda
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita, Japan.,WPI Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Atsushi Kumanogoh
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan.,Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan.,Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan .,Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan.,Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
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538
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Cheng Z, Si X, Tan H, Zang Z, Tian J, Shu C, Sun X, Li Z, Jiang Q, Meng X, Chen Y, Li B, Wang Y. Cyanidin-3- O-glucoside and its phenolic metabolites ameliorate intestinal diseases via modulating intestinal mucosal immune system: potential mechanisms and therapeutic strategies. Crit Rev Food Sci Nutr 2021; 63:1629-1647. [PMID: 34420433 DOI: 10.1080/10408398.2021.1966381] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The incidence of the intestinal disease is globally increasing, and the intestinal mucosa immune system is an important defense line. A potential environmental cause to regulate gut health is diet. Cyanidin-3-O-glucoside is a natural plant bioactive substance that has shown rising evidence of improving intestinal disease and keeping gut homeostasis. This review summarized the intestinal protective effect of Cyanidin-3-O-glucoside in vivo and in vitro and discussed the potential mechanisms by regulating the intestinal mucosal immune system. Cyanidin-3-O-glucoside and phenolic metabolites inhibited the presence and progression of intestinal diseases and explained from the aspects of repairing the intestinal wall, inhibiting inflammatory reaction, and regulating the gut microbiota. Although the animal and clinical studies are inadequate, based on the accumulated evidence, we propose that the interaction of Cyanidin-3-O-glucoside with the intestinal mucosal immune system is at the core of most mechanisms by which affect host gut diseases. This review puts forward the potential mechanism of action and targeted treatment strategies.
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Affiliation(s)
- Zhen Cheng
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Xu Si
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Hui Tan
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Zhihuan Zang
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Jinlong Tian
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Chi Shu
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Xiyun Sun
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Zhiying Li
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Qiao Jiang
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Xianjun Meng
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Yi Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, Peoples Republic of China
| | - Bin Li
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
| | - Yuehua Wang
- College of Food Science, Shenyang Agricultural University, Liaoning, P. R. China.,National R&D Professional Center For Berry Processing, Shenyang Agricultural University, Liaoning, P. R. China
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539
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Fan X, Jin Y, Chen G, Ma X, Zhang L. Gut Microbiota Dysbiosis Drives the Development of Colorectal Cancer. Digestion 2021; 102:508-515. [PMID: 32932258 DOI: 10.1159/000508328] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 04/29/2020] [Indexed: 02/04/2023]
Abstract
BACKGROUND The gut microbiota is a diverse community of microbes that maintain the stability of the intestinal environment. Dysbiosis of the gut microbiota has been linked to gastrointestinal diseases, such as colorectal cancer (CRC) - a leading cause of death for cancer patients. SUMMARY Candidate pathogens have been identified using bacterial culture and high-throughput sequencing techniques. Currently, there is evidence to show that specific intestinal microbes drive CRC development and progression, yet their pathogenic mechanisms are still unclear. Key Messages: In this review, we describe the known healthy gut microbiota and its changes in CRC. We especially focus on exploring the pathogenic mechanisms of gut microbiota dysbiosis in CRC. This is crucial for explaining how gut microbiota dysbiosis drives the process of colorectal carcinogenesis and tumor progression. Evaluation of changes in the gut microbiota during CRC development and progression offers a new strategy for the diagnosis and treatment of this disease.
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Affiliation(s)
- Xiaoyan Fan
- Department of Basic Medical Sciences, Taizhou University Hospital, Taizhou University, Taizhou, China.,Department of Neurology, Taizhou Second People's Hospital, Taizhou, China
| | - Yuelei Jin
- Department of Basic Medical Sciences, Taizhou University Hospital, Taizhou University, Taizhou, China
| | - Guang Chen
- Department of Basic Medical Sciences, Taizhou University Hospital, Taizhou University, Taizhou, China
| | - Xueqiang Ma
- Department of Gastrointestinal Surgery, Municipal Hospital Affiliated to Medical School of Taizhou University, Taizhou, China
| | - Lixia Zhang
- Department of Neurology, Taizhou Second People's Hospital, Taizhou, China,
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540
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Shao HQ, Tan ZJ. Microbiota-targeted therapeutics in gastrointestinal diseases. Shijie Huaren Xiaohua Zazhi 2021; 29:841-848. [DOI: 10.11569/wcjd.v29.i15.841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
In recent years, more and more diseases have been found to be related to dysbiosis. In particular, some disruptive discoveries in the past five years have made gut microbiota a hot topic in the field of health and diseases. As an important coordinator of biological processes and a common participant in the occurrence and development of multiple diseases, coupled with the plasticity of its composition and function, the gut microbiota has gradually become an attractive target for the intervention and management of diseases, arousing great attention of researchers. In this paper, we summarize the relationship between gut microbiota and irritable bowel syndrome, inflammatory bowel disease, and colorectal cancer. Then, we introduce the current status of microbiota-targeted therapeutics in gastrointestinal diseases.
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Affiliation(s)
- Hao-Qing Shao
- Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China
| | - Zhou-Jin Tan
- Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China
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541
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Gu X, Yu T, Guo T, Kong J. A qPCR-based method for rapid quantification of six intestinal homeostasis-relevant bacterial genera in feces. Future Microbiol 2021; 16:895-906. [PMID: 34342236 DOI: 10.2217/fmb-2020-0269] [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] [Indexed: 11/21/2022] Open
Abstract
Aim: Developing efficient methods for monitoring the complex microbial community to rapidly assess the health status. Materials & methods: The qPCR-based method was developed, verified and in situ applied in fecal samples. Results: Six primer pairs with high specificity were designed to perform qPCR assays under a unified reaction condition within 2.5 h. The limits of detection, amplification efficiency and feasibility of the qPCR-based method established here were verified. In situ application of 18 fecal samples showed that the amounts of Bacteroides, Streptococcus and Bifidobacterium in colorectal cancer patient feces were obviously lower than those of healthy volunteers. Conclusion: This qPCR-based method was a reliable tool for rapid quantification of the six intestinal homeostasis relevant bacterial genera in feces.
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Affiliation(s)
- Xinyi Gu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China
| | - Tao Yu
- Qilu Hospital, Shandong University, Jinan, 250012, China
| | - Tingting Guo
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China
| | - Jian Kong
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China
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542
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Bisht V, Acharjee A, Gkoutos GV. NFnetFu: A novel workflow for microbiome data fusion. Comput Biol Med 2021; 135:104556. [PMID: 34216888 PMCID: PMC8404037 DOI: 10.1016/j.compbiomed.2021.104556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 06/04/2021] [Accepted: 06/04/2021] [Indexed: 12/18/2022]
Abstract
Microbiome data analysis and its interpretation into meaningful biological insights remain very challenging for numerous reasons, perhaps most prominently, due to the need to account for multiple factors, including collinearity, sparsity (excessive zeros) and effect size, that the complex experimental workflow and subsequent downstream data analysis require. Moreover, a meaningful microbiome data analysis necessitates the development of interpretable models that incorporate inferences across available data as well as background biomedical knowledge. We developed a multimodal framework that considers sparsity (excessive zeros), lower effect size, intrinsically microbial correlations, i.e., collinearity, as well as background biomedical knowledge in the form of a cluster-infused enriched network architecture. Finally, our framework also provides a candidate taxa/Operational Taxonomic Unit (OTU) that can be targeted for future validation experiments. We have developed a tool, the term NFnetFU (Neuro Fuzzy network Fusion), that encompasses our framework and have made it freely available at https://github.com/VartikaBisht6197/NFnetFu.
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Affiliation(s)
- Vartika Bisht
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, B15 2TT, UK
| | - Animesh Acharjee
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, B15 2TT, UK; Institute of Translational Medicine, University Hospitals Birmingham NHS, Foundation Trust, B15 2TT, UK; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham, Birmingham, B15 2WB, UK; MRC Health Data Research UK HDR, UK.
| | - Georgios V Gkoutos
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, B15 2TT, UK; Institute of Translational Medicine, University Hospitals Birmingham NHS, Foundation Trust, B15 2TT, UK; NIHR Surgical Reconstruction and Microbiology Research Centre, University Hospital Birmingham, Birmingham, B15 2WB, UK; MRC Health Data Research UK HDR, UK; NIHR Experimental Cancer Medicine Centre, B15 2TT, Birmingham, UK; NIHR Biomedical Research Centre, University Hospital Birmingham, Birmingham, B15 2TT, UK
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543
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Sikavi DR, Nguyen LH, Haruki K, Ugai T, Ma W, Wang DD, Thompson KN, Yan Y, Branck T, Wilkinson JE, Akimoto N, Zhong R, Lau MC, Mima K, Kosumi K, Morikawa T, Rimm EB, Garrett WS, Izard J, Cao Y, Song M, Huttenhower C, Ogino S, Chan AT. The Sulfur Microbial Diet and Risk of Colorectal Cancer by Molecular Subtypes and Intratumoral Microbial Species in Adult Men. Clin Transl Gastroenterol 2021; 12:e00338. [PMID: 34333506 PMCID: PMC8323793 DOI: 10.14309/ctg.0000000000000338] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 03/05/2021] [Indexed: 01/22/2023] Open
Abstract
INTRODUCTION We recently described the sulfur microbial diet, a pattern of intake associated with increased gut sulfur-metabolizing bacteria and incidence of distal colorectal cancer (CRC). We assessed whether this risk differed by CRC molecular subtypes or presence of intratumoral microbes involved in CRC pathogenesis (Fusobacterium nucleatum and Bifidobacterium spp.). METHODS We performed Cox proportional hazards modeling to examine the association between the sulfur microbial diet and incidence of overall and distal CRC by molecular and microbial subtype in the Health Professionals Follow-Up Study (1986-2012). RESULTS We documented 1,264 incident CRC cases among 48,246 men, approximately 40% of whom had available tissue data. After accounting for multiple hypothesis testing, the relationship between the sulfur microbial diet and CRC incidence did not differ by subtype. However, there was a suggestion of an association by prostaglandin synthase 2 (PTGS2) status with a multivariable adjusted hazard ratio for highest vs lowest tertile of sulfur microbial diet scores of 1.31 (95% confidence interval: 0.99-1.74, Ptrend = 0.07, Pheterogeneity = 0.04) for PTGS2-high CRC. The association of the sulfur microbial diet with distal CRC seemed to differ by the presence of intratumoral Bifidobacterium spp. with an adjusted hazard ratio for highest vs lowest tertile of sulfur microbial diet scores of 1.65 (95% confidence interval: 1.14-2.39, Ptrend = 0.01, Pheterogeneity = 0.03) for Bifidobacterium-negative distal CRC. We observed no apparent heterogeneity by other tested molecular markers. DISCUSSION Greater long-term adherence to the sulfur microbial diet could be associated with PTGS2-high and Bifidobacterium-negative distal CRC in men. Additional studies are needed to further characterize the role of gut microbial sulfur metabolism and CRC.
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Affiliation(s)
- Daniel R. Sikavi
- Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Long H. Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Koichiro Haruki
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Tomotaka Ugai
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Dong D. Wang
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kelsey N. Thompson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Yan Yan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Tobyn Branck
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jeremy E. Wilkinson
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Naohiko Akimoto
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Rong Zhong
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Mai Chan Lau
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kosuke Mima
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Keisuke Kosumi
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Teppei Morikawa
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric B. Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Wendy S. Garrett
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Medicine, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Jacques Izard
- Department of Food Science and Technology, University of Nebraska, Lincoln, Nebraska, USA
- Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri, USA
- Alvin J. Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri, USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Shuji Ogino
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber Harvard Cancer Center, Boston, Massachusetts, USA
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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544
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Matsushita M, Fujita K, Motooka D, Hatano K, Fukae S, Kawamura N, Tomiyama E, Hayashi Y, Banno E, Takao T, Takada S, Yachida S, Uemura H, Nakamura S, Nonomura N. The gut microbiota associated with high-Gleason prostate cancer. Cancer Sci 2021; 112:3125-3135. [PMID: 34051009 PMCID: PMC8353908 DOI: 10.1111/cas.14998] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 05/11/2021] [Accepted: 05/19/2021] [Indexed: 12/14/2022] Open
Abstract
We have found that intestinal bacteria and their metabolites, short-chain fatty acids (SCFAs), promote cancer growth in prostate cancer (PCa) mouse models. To clarify the association between gut microbiota and PCa in humans, we analyzed the gut microbiota profiles of men with suspected PCa. One hundred and fifty-two Japanese men undergoing prostate biopsies (96 with cancer and 56 without cancer) were included in the study and randomly divided into two cohorts: a discovery cohort (114 samples) and a test cohort (38 samples). The gut microbiota was compared between two groups, a high-risk group (men with Grade group 2 or higher PCa) and a negative + low-risk group (men with negative biopsy or Grade group 1 PCa), using 16S rRNA gene sequencing. The relative abundances of Rikenellaceae, Alistipes, and Lachnospira, all SCFA-producing bacteria, were significantly increased in high-risk group. In receiver operating characteristic curve analysis, the index calculated from the abundance of 18 bacterial genera which were selected by least absolute shrinkage and selection operator regression detected high-risk PCa in the discovery cohort with higher accuracy than the prostate specific antigen test (area under the curve [AUC] = 0.85 vs 0.74). Validation of the index in the test cohort showed similar results (AUC = 0.81 vs 0.67). The specific bacterial taxa were associated with high-risk PCa. The gut microbiota profile could be a novel useful marker for the detection of high-risk PCa and could contribute to the carcinogenesis of PCa.
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Affiliation(s)
- Makoto Matsushita
- Department of UrologyGraduate School of MedicineOsaka UniversitySuitaJapan
| | - Kazutoshi Fujita
- Department of UrologyGraduate School of MedicineOsaka UniversitySuitaJapan
- Department of UrologyFaculty of MedicineKindai UniversityOsakasayamaJapan
| | - Daisuke Motooka
- Department of Infection MetagenomicsResearch Institute for Microbial DiseasesOsaka UniversitySuitaJapan
| | - Koji Hatano
- Department of UrologyGraduate School of MedicineOsaka UniversitySuitaJapan
| | - Shota Fukae
- Department of UrologyOsaka Police HospitalOsakaJapan
| | | | - Eisuke Tomiyama
- Department of UrologyGraduate School of MedicineOsaka UniversitySuitaJapan
| | - Yujiro Hayashi
- Department of UrologyGraduate School of MedicineOsaka UniversitySuitaJapan
| | - Eri Banno
- Department of UrologyFaculty of MedicineKindai UniversityOsakasayamaJapan
| | - Tetsuya Takao
- Department of UrologyOsaka General Medical CenterOsakaJapan
| | - Shingo Takada
- Department of UrologyOsaka Police HospitalOsakaJapan
| | - Shinichi Yachida
- Department of Cancer Genome InformaticsGraduate School of MedicineOsaka UniversitySuitaJapan
| | - Hirotsugu Uemura
- Department of UrologyFaculty of MedicineKindai UniversityOsakasayamaJapan
| | - Shota Nakamura
- Department of Infection MetagenomicsResearch Institute for Microbial DiseasesOsaka UniversitySuitaJapan
| | - Norio Nonomura
- Department of UrologyGraduate School of MedicineOsaka UniversitySuitaJapan
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545
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Wei LQ, Cheong IH, Yang GH, Li XG, Kozlakidis Z, Ding L, Liu NN, Wang H. The Application of High-Throughput Technologies for the Study of Microbiome and Cancer. Front Genet 2021; 12:699793. [PMID: 34394190 PMCID: PMC8355622 DOI: 10.3389/fgene.2021.699793] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 06/21/2021] [Indexed: 12/14/2022] Open
Abstract
Human gut microbiome research, especially gut microbiome, has been developing at a considerable pace over the last decades, driven by a rapid technological advancement. The emergence of high-throughput technologies, such as genomics, transcriptomics, and others, has afforded the generation of large volumes of data, and in relation to specific pathologies such as different cancer types. The current review identifies high-throughput technologies as they have been implemented in the study of microbiome and cancer. Four main thematic areas have emerged: the characterization of microbial diversity and composition, microbial functional analyses, biomarker prediction, and, lastly, potential therapeutic applications. The majority of studies identified focus on the microbiome diversity characterization, which is reaching technological maturity, while the remaining three thematic areas could be described as emerging.
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Affiliation(s)
- Lu Qi Wei
- State Key Laboratory of Oncogenes and Related Genes, Centre for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Io Hong Cheong
- State Key Laboratory of Oncogenes and Related Genes, Centre for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Huan Yang
- State Key Laboratory of Oncogenes and Related Genes, Centre for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Guang Li
- State Key Laboratory of Oncogenes and Related Genes, Centre for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zisis Kozlakidis
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Lei Ding
- State Key Laboratory of Oncogenes and Related Genes, Centre for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ning Ning Liu
- State Key Laboratory of Oncogenes and Related Genes, Centre for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wang
- State Key Laboratory of Oncogenes and Related Genes, Centre for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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546
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Maksimaityte V, Bausys A, Kryzauskas M, Luksta M, Stundiene I, Bickaite K, Bausys B, Poskus T, Bausys R, Strupas K. Gastrectomy impact on the gut microbiome in patients with gastric cancer: A comprehensive review. World J Gastrointest Surg 2021; 13:678-688. [PMID: 34354801 PMCID: PMC8316847 DOI: 10.4240/wjgs.v13.i7.678] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 04/19/2021] [Accepted: 05/25/2021] [Indexed: 02/06/2023] Open
Abstract
Gastric cancer is one of the most common malignancies worldwide and gastrectomy remains the only potentially curative treatment option for this disease. However, the surgery leads to significant physiological and anatomical changes in the gastrointestinal (GI) tract including loss of the gastric barrier, an increase in oxygenation levels in the distal gut, and biliary diversion after gastrectomy. These changes in the GI tract influence the composition of the gut microbiome and thus, host health. Gastrectomy-induced dysbiosis is characterized by increased abundance of typical oral cavity bacteria, an increase in aero-tolerant bacteria (aerobes/facultative anaerobes), and increased abundance of bile acid-transforming bacteria. Furthermore, this dysbiosis is linked to intestinal inflammation, small intestinal bacterial overgrowth, various GI symptoms, and an increased risk of colorectal cancer.
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Affiliation(s)
- Vaidota Maksimaityte
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
| | - Augustinas Bausys
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
- Department of Abdominal Surgery and Oncology, National Cancer Institute, Vilnius 08660, Lithuania
| | - Marius Kryzauskas
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
| | - Martynas Luksta
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
| | - Ieva Stundiene
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
| | | | - Bernardas Bausys
- Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
| | - Tomas Poskus
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
| | - Rimantas Bausys
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
- Department of Abdominal Surgery and Oncology, National Cancer Institute, Vilnius 08660, Lithuania
| | - Kestutis Strupas
- Clinic of Gastroenterology, Nephrourology, and Surgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius 03101, Lithuania
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547
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Heinken A, Basile A, Hertel J, Thinnes C, Thiele I. Genome-Scale Metabolic Modeling of the Human Microbiome in the Era of Personalized Medicine. Annu Rev Microbiol 2021; 75:199-222. [PMID: 34314593 DOI: 10.1146/annurev-micro-060221-012134] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The human microbiome plays an important role in human health and disease. Meta-omics analyses provide indispensable data for linking changes in microbiome composition and function to disease etiology. Yet, the lack of a mechanistic understanding of, e.g., microbiome-metabolome links hampers the translation of these findings into effective, novel therapeutics. Here, we propose metabolic modeling of microbial communities through constraint-based reconstruction and analysis (COBRA) as a complementary approach to meta-omics analyses. First, we highlight the importance of microbial metabolism in cardiometabolic diseases, inflammatory bowel disease, colorectal cancer, Alzheimer disease, and Parkinson disease. Next, we demonstrate that microbial community modeling can stratify patients and controls, mechanistically link microbes with fecal metabolites altered in disease, and identify host pathways affected by the microbiome. Finally, we outline our vision for COBRA modeling combined with meta-omics analyses and multivariate statistical analyses to inform and guide clinical trials, yield testable hypotheses, and ultimately propose novel dietary and therapeutic interventions. Expected final online publication date for the Annual Review of Microbiology, Volume 75 is October 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Almut Heinken
- School of Medicine, National University of Ireland, Galway, H91 TK33, Ireland;
| | - Arianna Basile
- Department of Biology, University of Padua, Padua 35121, Italy
| | - Johannes Hertel
- School of Medicine, National University of Ireland, Galway, H91 TK33, Ireland; .,Department of Psychiatry and Psychotherapy, University of Greifswald, 17489 Greifswald, Germany
| | - Cyrille Thinnes
- School of Medicine, National University of Ireland, Galway, H91 TK33, Ireland;
| | - Ines Thiele
- School of Medicine, National University of Ireland, Galway, H91 TK33, Ireland; .,Division of Microbiology, National University of Ireland, Galway, H91 TK33, Ireland.,APC Microbiome Ireland, University College Cork, Cork, T12 K8AF, Ireland
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548
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Jaye K, Li CG, Bhuyan DJ. The complex interplay of gut microbiota with the five most common cancer types: From carcinogenesis to therapeutics to prognoses. Crit Rev Oncol Hematol 2021; 165:103429. [PMID: 34293459 DOI: 10.1016/j.critrevonc.2021.103429] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/16/2021] [Accepted: 07/18/2021] [Indexed: 02/07/2023] Open
Abstract
The association between human gut microbiota and cancers has been an evolving field of biomedical research in recent years. The gut microbiota is composed of the microorganisms residing in the gastrointestinal system that interact with the host to regulate behaviours and biochemical processes within the gut. This symbiotic physiological interaction between the gut and the microbiota plays a significant role in the modulation of gut homeostasis, in which perturbations to the microbiota, also known as dysbiosis can lead to the onset of diseases, including cancer. In this review, we analysed the current literature to understand the role of gut microbiota in the five most prevalent cancer types, namely colon (colorectal), lung, breast, prostate, and stomach cancers. Recent studies have observed the immunomodulatory and anti-tumoural effects of gut microbiota in cancers. Furthermore, gut microbial dysbiosis can induce the release of toxic metabolites and exhibit pro-tumoural effects in the host. The gut microbiota was observed to have clinical implications in each cancer type in addition to regulating the efficacy of standard chemotherapy and natural anticancer agents. However, further research is warranted to understand the complex role of gut microbiota in the prevention, diagnosis, treatment, and prognoses of cancer.
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Affiliation(s)
- Kayla Jaye
- School of Science, Western Sydney University, Penrith, NSW 2751, Australia; NICM Health Research Institute, Western Sydney University, Penrith, NSW 2751, Australia.
| | - Chun Guang Li
- NICM Health Research Institute, Western Sydney University, Penrith, NSW 2751, Australia.
| | - Deep Jyoti Bhuyan
- NICM Health Research Institute, Western Sydney University, Penrith, NSW 2751, Australia.
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549
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Dalal N, Jalandra R, Bayal N, Yadav AK, Sharma M, Makharia GK, Kumar P, Singh R, Solanki PR, Kumar A. Gut microbiota-derived metabolites in CRC progression and causation. J Cancer Res Clin Oncol 2021; 147:3141-3155. [PMID: 34273006 DOI: 10.1007/s00432-021-03729-w] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/04/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND Based on recent research reports, dysbiosis and improper concentrations of microbial metabolites in the gut may result into the carcinogenesis of colorectal cancer. Recent advancement also highlights the involvement of bacteria and their secreted metabolites in the cancer causation. Gut microbial metabolites are functional output of the host-microbiota interactions and produced by anaerobic fermentation of food components in the diet. They contribute to influence variety of biological mechanisms including inflammation, cell signaling, cell-cycle disruption which are majorly disrupted in carcinogenic activities. PURPOSE In this review, we intend to discuss recent updates and possible molecular mechanisms to provide the role of bacterial metabolites, gut bacteria and diet in the colorectal carcinogenesis. Recent evidences have proposed the role of bacteria, such as Fusobacterium nucleaturm, Streptococcus bovis, Helicobacter pylori, Bacteroides fragilis and Clostridium septicum, in the carcinogenesis of CRC. Metagenomic study confirmed that these bacteria are in increased abundance in CRC patient as compared to healthy individuals and can cause inflammation and DNA damage which can lead to development of cancer. These bacteria produce metabolites, such as secondary bile salts from primary bile salts, hydrogen sulfide, trimethylamine-N-oxide (TMAO), which are likely to promote inflammation and subsequently cancer development. CONCLUSION Recent studies suggest that gut microbiota-derived metabolites have a role in CRC progression and causation and hence, could be implicated in CRC diagnosis, prognosis and therapy.
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Affiliation(s)
- Nishu Dalal
- Gene Regulation Laboratory, National Institute of Immunology, New Delhi, 110067, India
- Department of Environmental Science, Satyawati College, Delhi University, Delhi, 110052, India
| | - Rekha Jalandra
- Gene Regulation Laboratory, National Institute of Immunology, New Delhi, 110067, India
- Department of Zoology, Maharshi Dayanand University, Rohtak, 124001, India
| | - Nitin Bayal
- Gene Regulation Laboratory, National Institute of Immunology, New Delhi, 110067, India
| | - Amit K Yadav
- Special Centre for Nanoscience, Jawaharlal Nehru University, New Delhi, 110067, India
| | - Minakshi Sharma
- Department of Zoology, Maharshi Dayanand University, Rohtak, 124001, India
| | - Govind K Makharia
- Department of Gastroenterology and Human Nutrition, AIIMS, New Delhi, 110029, India
| | - Pramod Kumar
- Sri Aurobindo College, Delhi University, New Delhi, 110067, India
| | - Rajeev Singh
- Department of Environmental Science, Satyawati College, Delhi University, Delhi, 110052, India
| | - Pratima R Solanki
- Special Centre for Nanoscience, Jawaharlal Nehru University, New Delhi, 110067, India.
| | - Anil Kumar
- Gene Regulation Laboratory, National Institute of Immunology, New Delhi, 110067, India.
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550
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Liu Y, Li X, Yang Y, Liu Y, Wang S, Ji B, Wei Y. Exploring Gut Microbiota in Patients with Colorectal Disease Based on 16S rRNA Gene Amplicon and Shallow Metagenomic Sequencing. Front Mol Biosci 2021; 8:703638. [PMID: 34307461 PMCID: PMC8299945 DOI: 10.3389/fmolb.2021.703638] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/15/2021] [Indexed: 12/16/2022] Open
Abstract
The gastrointestinal tract, the largest human microbial reservoir, is highly dynamic. The gut microbes play essential roles in causing colorectal diseases. In the present study, we explored potential keystone taxa during the development of colorectal diseases in central China. Fecal samples of some patients were collected and were allocated to the adenoma (Group A), colorectal cancer (Group C), and hemorrhoid (Group H) groups. The 16S rRNA amplicon and shallow metagenomic sequencing (SMS) strategies were used to recover the gut microbiota. Microbial diversities obtained from 16S rRNA amplicon and SMS data were similar. Group C had the highest diversity, although no significant difference in diversity was observed among the groups. The most dominant phyla in the gut microbiota of patients with colorectal diseases were Bacteroidetes, Firmicutes, and Proteobacteria, accounting for >95% of microbes in the samples. The most abundant genera in the samples were Bacteroides, Prevotella, and Escherichia/Shigella, and further species-level and network analyses identified certain potential keystone taxa in each group. Some of the dominant species, such as Prevotella copri, Bacteroides dorei, and Bacteroides vulgatus, could be responsible for causing colorectal diseases. The SMS data recovered diverse antibiotic resistance genes of tetracycline, macrolide, and beta-lactam, which could be a result of antibiotic overuse. This study explored the gut microbiota of patients with three different types of colorectal diseases, and the microbial diversity results obtained from 16S rRNA amplicon sequencing and SMS data were found to be similar. However, the findings of this study are based on a limited sample size, which warrants further large-scale studies. The recovery of gut microbiota profiles in patients with colorectal diseases could be beneficial for future diagnosis and treatment with modulation of the gut microbiota. Moreover, SMS data can provide accurate species- and gene-level information, and it is economical. It can therefore be widely applied in future clinical metagenomic studies.
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Affiliation(s)
- Yuanfeng Liu
- Department of Vascular and Endovascular Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiang Li
- Science China Press, Beijing, China
| | - Yudie Yang
- Key Laboratory of Advanced Drug Preparation Technologies, School of Pharmaceutical Sciences, Ministry of Education, Zhengzhou University, Zhengzhou, China
- Laboratory of Synthetic Biology, Zhengzhou University, Zhengzhou, China
| | - Ye Liu
- Oncology Department, Colorectal and Anal Surgery Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shijun Wang
- Oncology Department, Colorectal and Anal Surgery Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Boyang Ji
- Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Yongjun Wei
- Key Laboratory of Advanced Drug Preparation Technologies, School of Pharmaceutical Sciences, Ministry of Education, Zhengzhou University, Zhengzhou, China
- Laboratory of Synthetic Biology, Zhengzhou University, Zhengzhou, China
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