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Wang J, Li H, Zhu H, Xia S, Zhang F, Zhang H, Liu C, Zheng W, Yao W. Impacts of Dietary Standardized Ileal Digestible Lysine to Net Energy Ratio on Lipid Metabolism in Finishing Pigs Fed High-Wheat Diets. Animals (Basel) 2024; 14:1824. [PMID: 38929443 PMCID: PMC11200874 DOI: 10.3390/ani14121824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 06/16/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
The present study aimed to investigate the impacts of dietary standardized ileal digestible lysine to net energy (SID Lys:NE) ratio on lipid metabolism in pigs fed high-wheat diets. Thirty-six crossbred growing barrows (65.20 ± 0.38 kg) were blocked into two treatment groups, fed high-wheat diets with either a high SID Lys:NE ratio (HR) or a low SID Lys:NE ratio (LR). Each treatment group consisted of three replicates, with six pigs per pen in each replicate. The diminishing dietary SID Lys:NE ratio exhibited no adverse impacts on the carcass trait (p > 0.05) but increased the marbling score of the longissimus dorsi muscle (p < 0.05). Meanwhile, LR diets tended to increase the serum triglyceride concentration (p < 0.1). LR diets upregulated fatty acid transport protein 4 and acetyl-coA carboxylase α expression levels and downregulated the expression level of adipose triglyceride lipase (p < 0.05). LR diets improved energy metabolism via decreasing the expression levels of AMP-activated protein kinase (AMPK) α1, sirtuin 1 (SIRT1), and peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α) (p < 0.05). Additionally, LR diets stimulated hepatic bile acid synthesis via upregulating the expression levels of cytochrome P450 family 7 subfamily A member 1 and cytochrome P450 family 27 subfamily A member 1, and downregulating farnesol X receptor (FXR) and small heterodimer partner (SHP) expression levels (p < 0.05). A lowered SID Lys:NE ratio affected the colonic microbial composition, characterized by increased relative abundances of YRC22, Parabacteroides, Sphaerochaeta, and Bacteroides, alongside a decreased in the proportion of Roseburia, f_Lachnospiraceae_g_Clostridium, Enterococcus, Shuttleworthia, Exiguobacterium, Corynebacterium, Subdoligranulum, Sulfurospirillum, and Marinobacter (p < 0.05). The alterations in microbial composition were accompanied by a decrease in colonic butyrate concentration (p < 0.1). The metabolomic analysis revealed that LR diets affected primary bile acid synthesis and AMPK signaling pathway (p < 0.05). And the mantel analysis indicated that Parabacteroides, Sphaerochaeta, f_Lachnospiraceae_g_Clostridium, Shuttleworthia, and Marinobacter contributed to the alterations in body metabolism. A reduced dietary SID Lys:NE ratio improves energy metabolism, stimulates lipogenesis, and inhibits lipolysis in finishing pigs by regulating the AMPKα/SIRT1/PGC-1α pathway and the FXR/SHP pathway. Parabacteroides and Sphaerochaeta benefited bile acids synthesis, whereas f_Lachnospiraceae_g_Clostridium, Shuttleworthia, and Marinobacter may contribute to the activation of the AMPK signaling pathway. Overall, body metabolism and colonic microbiota collectively controlled the lipid metabolism in finishing pigs.
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Affiliation(s)
- Jiguang Wang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.W.); (H.L.); (H.Z.); (W.Z.)
| | - Haojie Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.W.); (H.L.); (H.Z.); (W.Z.)
| | - He Zhu
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.W.); (H.L.); (H.Z.); (W.Z.)
| | - Shuangshuang Xia
- Anyou Biotechnology Group Co., Ltd., Suzhou 215437, China; (S.X.); (F.Z.); (H.Z.); (C.L.)
| | - Fang Zhang
- Anyou Biotechnology Group Co., Ltd., Suzhou 215437, China; (S.X.); (F.Z.); (H.Z.); (C.L.)
| | - Hui Zhang
- Anyou Biotechnology Group Co., Ltd., Suzhou 215437, China; (S.X.); (F.Z.); (H.Z.); (C.L.)
| | - Chunxue Liu
- Anyou Biotechnology Group Co., Ltd., Suzhou 215437, China; (S.X.); (F.Z.); (H.Z.); (C.L.)
| | - Weijiang Zheng
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.W.); (H.L.); (H.Z.); (W.Z.)
| | - Wen Yao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China; (J.W.); (H.L.); (H.Z.); (W.Z.)
- Key Lab of Animal Physiology and Biochemistry, Nanjing Agricultural University, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, Nanjing 210095, China
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Wang L, Liang X, Chen H, Cao L, Liu L, Zhu F, Ding Y, Tang J, Xie Y. CDEMI: characterizing differences in microbial composition and function in microbiome data. Comput Struct Biotechnol J 2023; 21:2502-2513. [PMID: 37090432 PMCID: PMC10113763 DOI: 10.1016/j.csbj.2023.03.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 03/28/2023] Open
Abstract
Microbial communities influence host phenotypes through microbiota-derived metabolites and interactions between exogenous active substances (EASs) and the microbiota. Owing to the high dynamics of microbial community composition and difficulty in microbial functional analysis, the identification of mechanistic links between individual microbes and host phenotypes is complex. Thus, it is important to characterize variations in microbial composition across various conditions (for example, topographical locations, times, physiological and pathological conditions, and populations of different ethnicities) in microbiome studies. However, no web server is currently available to facilitate such characterization. Moreover, accurately annotating the functions of microbes and investigating the possible factors that shape microbial function are critical for discovering links between microbes and host phenotypes. Herein, an online tool, CDEMI, is introduced to discover microbial composition variations across different conditions, and five types of microbe libraries are provided to comprehensively characterize the functionality of microbes from different perspectives. These collective microbe libraries include (1) microbial functional pathways, (2) disease associations with microbes, (3) EASs associations with microbes, (4) bioactive microbial metabolites, and (5) human body habitats. In summary, CDEMI is unique in that it can reveal microbial patterns in distributions/compositions across different conditions and facilitate biological interpretations based on diverse microbe libraries. CDEMI is accessible at http://rdblab.cn/cdemi/.
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Affiliation(s)
- Lidan Wang
- School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China
- Department of Obstetrics and Gynecology, Women and Children’s Hospital of Chongqing Medical University, Chongqing 401147, China
| | - Xiao Liang
- School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China
| | - Hao Chen
- School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China
| | - Lijie Cao
- School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China
| | - Lan Liu
- School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China
| | - Feng Zhu
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yubin Ding
- Department of Obstetrics and Gynecology, Women and Children’s Hospital of Chongqing Medical University, Chongqing 401147, China
- Corresponding authors.
| | - Jing Tang
- School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China
- Joint International Research Laboratory of Reproductive and Development, Department Reproductive Biology, School of Public Health, Chongqing Medical University, Chongqing 400016, China
- Corresponding author at: School of Basic Medicine, Chongqing Medical University, Chongqing 400016, China.
| | - Youlong Xie
- Joint International Research Laboratory of Reproductive and Development, Department Reproductive Biology, School of Public Health, Chongqing Medical University, Chongqing 400016, China
- Corresponding authors.
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Liu Z, Zhang X, Zhang H, Zhang H, Yi Z, Zhang Q, Liu Q, Liu X. Multi-Omics Analysis Reveals Intratumor Microbes as Immunomodulators in Colorectal Cancer. Microbiol Spectr 2023; 11:e0503822. [PMID: 36786568 PMCID: PMC10100960 DOI: 10.1128/spectrum.05038-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/19/2023] [Indexed: 02/15/2023] Open
Abstract
Recent studies indicated that intratumor microbes are an essential part of the tumor microenvironment. Here, we performed an integrated analysis of genetic, epigenetic, and intratumor microbial factors to unravel the potential remodeling mechanisms of immune-cell infiltration (ICI) and tumorigenesis of colorectal cancer (CRC). We identified the components and structure of the intratumor microbiome as primary contributors to the difference in survival between ICI subtypes. Multiple tumor-infiltrating immune cells (TIICs) and immune-related genes were associated with intratumor microbial abundance. Additionally, we found that Clostridium was enriched in CRC patients who were nonsensitive to immune checkpoint blockade (ICB) therapy. We further provided clues that the intratumor microbes might influence the response to ICB therapy by mediating TIICs, especially MAIT (mucosa-associated invariant T) cells. Finally, three ICB-related TIICs and 22 of their associated microbes showed the potential to predict the response to ICB therapy (area under the receiver operating characteristic curve [AUC] = 89%). Our findings highlight the crucial role of intratumor microbes in affecting immune-cell infiltration patterns, prognosis, and therapy response of CRC and provide insights for improving current immunotherapeutic treatment strategies and prognosis for CRC patients. IMPORTANCE Using the multi-omics data from The Cancer Genome Atlas (TCGA) colorectal cancer (CRC) cohort, we estimated the tumor microenvironment (TME) infiltration patterns of patients and unraveled the interplay of gene expression, epigenetic modification, and the intratumor microbiome. This study suggests the impact of intratumor microbes on maintaining the tumor immune microenvironment in the pathogenesis of CRC and modulating the response to immune checkpoint blockade (ICB) therapy. We identified a set of combined features, including 3 ICB-related tumor-infiltrating immune cells (TIICs) and 22 of their associated microbes, that are predictive of ICB responses.
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Affiliation(s)
- Zhi Liu
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
| | - Xuemei Zhang
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
| | - Haoding Zhang
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
| | - Hong Zhang
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
| | - Zhongyuan Yi
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
| | - Qingqing Zhang
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
| | - Qisha Liu
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
| | - Xingyin Liu
- Department of Pathogen Biology—Microbiology Division, State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province, Center of Global Health, Nanjing Medical University, Nanjing, China
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Nanjing, China
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Zhao R, Symonds JE, Walker SP, Steiner K, Carter CG, Bowman JP, Nowak BF. Relationship between gut microbiota and Chinook salmon ( Oncorhynchus tshawytscha) health and growth performance in freshwater recirculating aquaculture systems. Front Microbiol 2023; 14:1065823. [PMID: 36825086 PMCID: PMC9941681 DOI: 10.3389/fmicb.2023.1065823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/06/2023] [Indexed: 02/10/2023] Open
Abstract
Gut microbiota play important roles in fish health and growth performance and the microbiome in fish has been shown to be a biomarker for stress. In this study, we surveyed the change of Chinook salmon (Oncorhynchus tshawytscha) gut and water microbiota in freshwater recirculating aquaculture systems (RAS) for 7 months and evaluated how gut microbial communities were influenced by fish health and growth performance. The gut microbial diversity significantly increased in parallel with the growth of the fish. The dominant gut microbiota shifted from a predominance of Firmicutes to Proteobacteria, while Proteobacteria constantly dominated the water microbiota. Photobacterium sp. was persistently the major gut microbial community member during the whole experiment and was identified as the core gut microbiota for freshwater farmed Chinook salmon. No significant variation in gut microbial diversity and composition was observed among fish with different growth performance. At the end of the trial, 36 out of 78 fish had fluid in their swim bladders. These fish had gut microbiomes containing elevated proportions of Enterococcus, Stenotrophomonas, Aeromonas, and Raoultella. Our study supports the growing body of knowledge about the beneficial microbiota associated with modern salmon aquaculture systems and provides additional information on possible links between dysbiosis and gut microbiota for Chinook salmon.
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Affiliation(s)
- Ruixiang Zhao
- Institute for Marine and Antarctic Studies, University of Tasmania, Newnham, TAS, Australia,*Correspondence: Ruixiang Zhao, ✉
| | - Jane E. Symonds
- Cawthron Institute, Nelson, New Zealand,Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia
| | | | | | - Chris G. Carter
- Institute for Marine and Antarctic Studies, University of Tasmania, Newnham, TAS, Australia,Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia
| | - John P. Bowman
- Centre for Food Safety and Innovation, Tasmanian Institute of Agriculture, Hobart, TAS, Australia
| | - Barbara F. Nowak
- Institute for Marine and Antarctic Studies, University of Tasmania, Newnham, TAS, Australia,Barbara F. Nowak, ✉
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Lou M, Cao A, Jin C, Mi K, Xiong X, Zeng Z, Pan X, Qie J, Qiu S, Niu Y, Liang H, Liu Y, Chen L, Liu Z, Zhao Q, Qiu X, Jin Y, Sheng X, Hu Z, Jin G, Liu J, Liu X, Wang Y. Deviated and early unsustainable stunted development of gut microbiota in children with autism spectrum disorder. Gut 2022; 71:1588-1599. [PMID: 34930815 PMCID: PMC9279844 DOI: 10.1136/gutjnl-2021-325115] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 12/07/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE Recent studies have provided insights into the gut microbiota in autism spectrum disorder (ASD); however, these studies were restricted owing to limited sampling at the unitary stage of childhood. Herein, we aimed to reveal developmental characteristics of gut microbiota in a large cohort of subjects with ASD combined with interindividual factors impacting gut microbiota. DESIGN A large cohort of 773 subjects with ASD (aged 16 months to 19 years), 429 neurotypical (NT) development subjects (aged 11 months to 15 years) were emolyed to determine the dynamics change of gut microbiota across different ages using 16S rRNA sequencing. RESULT In subjects with ASD, we observed a distinct but progressive deviation in the development of gut microbiota characterised by persistently decreased alpha diversity, early unsustainable immature microbiota, altered aboudance of 20 operational taxonomic units (OTUs), decreased taxon detection rate and 325 deregulated microbial metabolic functions with age-dependent patterns. We further revealed microbial relationships that have changed extensively in ASD before 3 years of age, which were associated with the severity of behaviour, sleep and GI symptoms in the ASD group. This analysis demonstrated that a signature of the combination of 2 OTUs, Veillonella and Enterobacteriaceae, and 17 microbial metabolic functions efficiently discriminated ASD from NT subjects in both the discovery (area under the curve (AUC)=0.86), and validation 1 (AUC=0.78), 2 (AUC=0.82) and 3 (AUC=0.67) sets. CONCLUSION Our large cohort combined with clinical symptom analysis highlights the key regulator of gut microbiota in the pathogenesis of ASD and emphasises the importance of monitoring and targeting the gut microbiome in future clinical applications of ASD.
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Affiliation(s)
- Mingxing Lou
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Aihua Cao
- Department of Pediatrics, Shandong University Qilu Hospital, Jinan, Shandong, China
| | - Cuiyuan Jin
- Institute of Translational Medicine, Zhejiang Shuren University, Hangzhou, Zhejiang, China
| | - Kai Mi
- State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province Center of Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiyue Xiong
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Zhaoyang Zeng
- Institute of Translational Medicine, Zhejiang Shuren University, Hangzhou, Zhejiang, China
| | - Xu Pan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang, China
| | - Jinlong Qie
- State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province Center of Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Shangfeng Qiu
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Yaofang Niu
- Guhe Information Technology Co Ltd, Hangzhou, China
| | - Hao Liang
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Yanping Liu
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Lin Chen
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Zhi Liu
- State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province Center of Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qing Zhao
- State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province Center of Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiyan Qiu
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Yuanxiang Jin
- College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China
| | - Xiaoqi Sheng
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine, Center of Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Gulei Jin
- Guhe Information Technology Co Ltd, Hangzhou, China
| | - Jingshi Liu
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Xingyin Liu
- State Key Laboratory of Reproductive Medicine, Key Laboratory of Pathogen of Jiangsu Province, Key Laboratory of Human Functional Genomics of Jiangsu Province Center of Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yichao Wang
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
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