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Spínola MP, Alfaia CM, Costa MM, Pinto RMA, Lopes PA, Pestana JM, Tavares JC, Mendes AR, Mourato MP, Tavares B, Carvalho DFP, Martins CF, Ferreira JI, Lordelo MM, Prates JAM. Impact of high Spirulina diet, extruded or supplemented with enzymes, on blood cells, systemic metabolites, and hepatic lipid and mineral profiles of broiler chickens. Front Vet Sci 2024; 11:1342310. [PMID: 38596464 PMCID: PMC11002084 DOI: 10.3389/fvets.2024.1342310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 03/14/2024] [Indexed: 04/11/2024] Open
Abstract
The impact of 15% dietary inclusion of Spirulina (Arthrospira platensis) in broiler chickens was explored, focusing on blood cellular components, systemic metabolites and hepatic lipid and mineral composition. From days 14 to 35 of age, 120 broiler chickens were divided and allocated into four dietary treatments: a standard corn and soybean meal-based diet (control), a 15% Spirulina diet, a 15% extruded Spirulina diet, and a 15% Spirulina diet super-dosed with an enzyme blend (0.20% porcine pancreatin plus 0.01% lysozyme). The haematological analysis revealed no significant deviations (p > 0.05) in blood cell counts across treatments, suggesting that high Spirulina inclusion maintains haematological balance. The systemic metabolic assessment indicated an enhanced antioxidant capacity in birds on Spirulina diets (p < 0.001), pointing toward a potential reduction in oxidative stress. However, the study noted a detrimental impact on growth performance metrics, such as final body weight and feed conversion ratio (both p < 0.001), in the Spirulina-fed treatments, with the super-dosed enzyme blend supplementation failing to alleviate these effects but with extrusion mitigating them. Regarding hepatic composition, birds on extruded Spirulina and enzyme-supplemented diets showed a notable increase in n-3 fatty acids (EPA, DPA, DHA) (p < 0.001), leading to an improved n-6/n-3 PUFA ratio (p < 0.001). Despite this positive shift, a reduction in total hepatic lipids (p = 0.003) was observed without a significant change in cholesterol levels. Our findings underscore the need for further exploration into the optimal inclusion levels, processing methods and potential enzymatic enhancements of Spirulina in broiler diets. Ultimately, this research aims to strike a balance between promoting health benefits and maintaining optimal growth performance in poultry nutrition.
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Affiliation(s)
- Maria P. Spínola
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
| | - Cristina M. Alfaia
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
| | - Mónica M. Costa
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
| | - Rui M. A. Pinto
- JCS, Laboratório de Análises Clínicas Dr. Joaquim Chaves, Avenida General Norton de Matos, Algés, Portugal
- iMED.UL, Faculdade de Farmácia, Universidade de Lisboa, Avenida Professor Gama Pinto, Lisbon, Portugal
| | - Paula A. Lopes
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
| | - José M. Pestana
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
| | - João C. Tavares
- Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
| | - Ana R. Mendes
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
- Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Lisbon, Portugal
| | - Miguel P. Mourato
- Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Lisbon, Portugal
| | - Beatriz Tavares
- Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
| | - Daniela F. P. Carvalho
- Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Lisbon, Portugal
| | - Cátia F. Martins
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
- Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Lisbon, Portugal
| | - Joana I. Ferreira
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
| | - Madalena M. Lordelo
- Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Lisbon, Portugal
| | - José A. M. Prates
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
- Laboratório Associado para Ciência Animal e Veterinária (AL4AnimalS), Lisbon, Portugal
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Li Y, Wang X, Zhang Z, Shi L, Cheng L, Zhang X. Effect of the gut microbiome, plasma metabolome, peripheral cells, and inflammatory cytokines on obesity: a bidirectional two-sample Mendelian randomization study and mediation analysis. Front Immunol 2024; 15:1348347. [PMID: 38558794 PMCID: PMC10981273 DOI: 10.3389/fimmu.2024.1348347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Background Obesity is a metabolic and chronic inflammatory disease involving genetic and environmental factors. This study aimed to investigate the causal relationship among gut microbiota abundance, plasma metabolomics, peripheral cell (blood and immune cell) counts, inflammatory cytokines, and obesity. Methods Summary statistics of 191 gut microbiota traits (N = 18,340), 1,400 plasma metabolite traits (N = 8,299), 128 peripheral cell counts (blood cells, N = 408,112; immune cells, N = 3,757), 41 inflammatory cytokine traits (N = 8,293), and 6 obesity traits were obtained from publicly available genome-wide association studies. Two-sample Mendelian randomization (MR) analysis was applied to infer the causal links using inverse variance-weighted, maximum likelihood, MR-Egger, weighted median, weighted mode, and Wald ratio methods. Several sensitivity analyses were also utilized to ensure reliable MR results. Finally, we used mediation analysis to identify the pathway from gut microbiota to obesity mediated by plasma metabolites, peripheral cells, and inflammatory cytokines. Results MR revealed a causal effect of 44 gut microbiota taxa, 281 plasma metabolites, 27 peripheral cells, and 8 inflammatory cytokines on obesity. Among them, five shared causal gut microbiota taxa belonged to the phylum Actinobacteria, order Bifidobacteriales, family Bifidobacteriaceae, genus Lachnospiraceae UCG008, and species Eubacterium nodatum group. Furthermore, we screened 42 shared causal metabolites, 7 shared causal peripheral cells, and 1 shared causal inflammatory cytokine. Based on known causal metabolites, we observed that the metabolic pathways of D-arginine, D-ornithine, linoleic acid, and glycerophospholipid metabolism were closely related to obesity. Finally, mediation analysis revealed 20 mediation relationships, including the causal pathway from gut microbiota to obesity, mediated by 17 metabolites, 2 peripheral cells, and 1 inflammatory cytokine. Sensitivity analysis represented no heterogeneity or pleiotropy in this study. Conclusion Our findings support a causal relationship among gut microbiota, plasma metabolites, peripheral cells, inflammatory cytokines, and obesity. These biomarkers provide new insights into the mechanisms underlying obesity and contribute to its prevention, diagnosis, and treatment.
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Affiliation(s)
- Ying Li
- Human Molecular Genetics Group, National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, The Fourth Affiliated Hospital, Harbin Medical University, Harbin, China
- Department of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China
- National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, Harbin, China
| | - Xin Wang
- Human Molecular Genetics Group, National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, The Fourth Affiliated Hospital, Harbin Medical University, Harbin, China
- National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, Harbin, China
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Zitong Zhang
- Human Molecular Genetics Group, National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, The Fourth Affiliated Hospital, Harbin Medical University, Harbin, China
- National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, Harbin, China
- Department of Medical Genetics, College of Basic Medical Sciences, Harbin Medical University, Harbin, China
| | - Lei Shi
- Human Molecular Genetics Group, National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, The Fourth Affiliated Hospital, Harbin Medical University, Harbin, China
- National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, Harbin, China
- Department of Medical Genetics, College of Basic Medical Sciences, Harbin Medical University, Harbin, China
| | - Liang Cheng
- National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, Harbin, China
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xue Zhang
- Human Molecular Genetics Group, National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, The Fourth Affiliated Hospital, Harbin Medical University, Harbin, China
- Department of Child and Adolescent Health, School of Public Health, Harbin Medical University, Harbin, China
- National Health Commission (NHC) Key Laboratory of Molecular Probes and Targeted Diagnosis and Therapy, Harbin Medical University, Harbin, China
- Department of Medical Genetics, College of Basic Medical Sciences, Harbin Medical University, Harbin, China
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Zhong H, Liu S, Zhu J, Xu TH, Yu H, Wu L. Elucidating the role of blood metabolites on pancreatic cancer risk using two-sample Mendelian randomization analysis. Int J Cancer 2024; 154:852-862. [PMID: 37860916 PMCID: PMC10843029 DOI: 10.1002/ijc.34771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 09/12/2023] [Accepted: 10/02/2023] [Indexed: 10/21/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is an uncommon but highly fatal malignancy. Identifying causal metabolite biomarkers offers an opportunity to facilitate effective risk assessment strategies for PDAC. In this study, we performed a two-sample Mendelian randomization (MR) study to characterize the potential causal effects of metabolites in plasma on PDAC risk. Genetic instruments were determined for a total of 506 metabolites from one set of comprehensive genome-wide association studies (GWAS) involving 913 individuals of European ancestry from the INTERVAL/EPIC-Norfolk cohorts. Another set of genetic instruments was developed for 483 metabolites from an independent GWAS conducted with 8299 individuals of European ancestry from the Canadian Longitudinal Study on Aging (CLSA) cohort. We analyzed GWAS data of the Pancreatic Cancer Cohort Consortium (PanScan) and the Pancreatic Cancer Case-Control Consortium (PanC4), comprising 8275 PDAC cases and 6723 controls of European ancestry. The association of metabolites with PDAC risk was assessed using the inverse-variance weighted (IVW) method, and complemented with sensitivity analyses of MR-Egger and MR-PRESSO tests. Potential side effects of targeting the identified metabolites for PDAC intervention were further evaluated by a phenome-wide MR (Phe-MR) analysis. Forty-four unique metabolites were identified to be significantly associated with PDAC risk, of which four top-ranking metabolites (X: 12798, X: 11787, X: 11308 and X: 19141) showed replication evidence when using instruments developed from both two cohorts. Our results highlight novel blood metabolites related to PDAC risk, which may help prioritize metabolic features for PDAC mechanistic research and further evaluation of their potential role in PDAC risk assessment.
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Affiliation(s)
- Hua Zhong
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Shuai Liu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Jingjing Zhu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Teddy H. Xu
- Torrey Pines High School, San Diego, CA, USA
| | - Herbert Yu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
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La Salvia A, Lens-Pardo A, López-López A, Carretero-Puche C, Capdevila J, Benavent M, Jiménez-Fonseca P, Castellano D, Alonso T, Teule A, Custodio A, Tafuto S, La Casta A, Spada F, Lopez-Gonzalvez A, Gil-Calderon B, Espinosa-Olarte P, Barbas C, Garcia-Carbonero R, Soldevilla B. Metabolomic profile of neuroendocrine tumors identifies methionine, porphyrin, and tryptophan metabolisms as key dysregulated pathways associated with patient survival. Eur J Endocrinol 2024; 190:62-74. [PMID: 38033321 DOI: 10.1093/ejendo/lvad160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/17/2023] [Accepted: 11/06/2023] [Indexed: 12/02/2023]
Abstract
OBJECTIVE Metabolic profiling is a valuable tool to characterize tumor biology but remains largely unexplored in neuroendocrine tumors (NETs). Our aim was to comprehensively assess the metabolomic profile of NETs and identify novel prognostic biomarkers and dysregulated molecular pathways. DESIGN AND METHODS Multiplatform untargeted metabolomic profiling (GC-MS, CE-MS, and LC-MS) was performed in plasma from 77 patients with G1-2 extra-pancreatic NETs enrolled in the AXINET trial (NCT01744249) (study cohort) and from 68 non-cancer individuals (control). The prognostic value of each differential metabolite (n = 155) in NET patients (P < .05) was analyzed by univariate and multivariate analyses adjusted for multiple testing and other confounding factors. Related pathways were explored by Metabolite Set Enrichment Analysis (MSEA) and Metabolite Pathway Analysis (MPA). RESULTS Thirty-four metabolites were significantly associated with progression-free survival (PFS) (n = 16) and/or overall survival (OS) (n = 27). Thirteen metabolites remained significant independent prognostic factors in multivariate analysis, 3 of them with a significant impact on both PFS and OS. Unsupervised clustering of these 3 metabolites stratified patients in 3 distinct prognostic groups (1-year PFS of 71.1%, 47.7%, and 15.4% (P = .012); 5-year OS of 69.7%, 32.5%, and 27.7% (P = .003), respectively). The MSEA and MPA of the 13-metablolite signature identified methionine, porphyrin, and tryptophan metabolisms as the 3 most relevant dysregulated pathways associated with the prognosis of NETs. CONCLUSIONS We identified a metabolomic signature that improves prognostic stratification of NET patients beyond classical prognostic factors for clinical decisions. The enriched metabolic pathways identified reveal novel tumor vulnerabilities that may foster the development of new therapeutic strategies for these patients.
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Affiliation(s)
- Anna La Salvia
- Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
- Oncology Department, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
- National Center for Drug Research and Evaluation, National Institute of Health (ISS), 00161 Rome, Italy
| | - Alberto Lens-Pardo
- Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
- Spanish National Cancer Research Center (CNIO), 28029 Madrid, Spain
| | - Angel López-López
- Department of Chemistry and Biochemistry, Facultad de Farmacia, Centre for Metabolomics and Bioanalysis (CEMBIO), Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28925 Madrid, Spain
| | - Carlos Carretero-Puche
- Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
- Spanish National Cancer Research Center (CNIO), 28029 Madrid, Spain
| | - Jaume Capdevila
- Vall Hebron University Hospital and Vall Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain
| | - Marta Benavent
- Medical Oncology Department, Hospital Virgen del Rocío, Instituto de Biomedicina de Sevilla (IBIS), 41013 Seville, Spain
| | - Paula Jiménez-Fonseca
- Medical Oncology Department, Hospital Universitario Central de Asturias, ISPA, 33011 Oviedo, Spain
| | - Daniel Castellano
- Oncology Department, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
| | - Teresa Alonso
- Medical Oncology, Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain
| | - Alexandre Teule
- Institut Català d'Oncologia (ICO)-Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), 08908 L'Hospitalet del Llobregat, Barcelona, Spain
| | - Ana Custodio
- Department of Medical Oncology, Hospital Universitario La Paz, CIBERONC CB16/12/00398, 28046 Madrid, Spain
| | - Salvatore Tafuto
- Sarcomas and Rare Tumours Unit, Istituto Nazionale Tumori, IRCCS Fondazione G. Pascale, 80131 Naples, Italy
| | - Adelaida La Casta
- Department of Medical Oncology, Biodonostia Health Research Institute, Donostia University Hospital, University of the Basque Country (UPV/EHU), 20014 San Sebastián, Spain
| | - Francesca Spada
- Division of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, IEO, European Institute of Oncology, IRCCS, 20141 Milan, Italy
| | - Angeles Lopez-Gonzalvez
- Department of Chemistry and Biochemistry, Facultad de Farmacia, Centre for Metabolomics and Bioanalysis (CEMBIO), Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28925 Madrid, Spain
| | - Beatriz Gil-Calderon
- Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
- Spanish National Cancer Research Center (CNIO), 28029 Madrid, Spain
| | - Paula Espinosa-Olarte
- Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
- Oncology Department, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
| | - Coral Barbas
- Department of Chemistry and Biochemistry, Facultad de Farmacia, Centre for Metabolomics and Bioanalysis (CEMBIO), Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Boadilla del Monte, 28925 Madrid, Spain
| | - Rocio Garcia-Carbonero
- Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
- Oncology Department, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
- Spanish National Cancer Research Center (CNIO), 28029 Madrid, Spain
- Medicine Department, Complutense University of Madrid (UCM), 28040 Madrid, Spain
| | - Beatriz Soldevilla
- Center of Experimental Oncology, Gastrointestinal and Neuroendrocrine Tumors Research Group, Research Institute Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
- Spanish National Cancer Research Center (CNIO), 28029 Madrid, Spain
- Genetics, Physiology and Microbiology Department, Complutense University of Madrid (UCM), 28040 Madrid, Spain
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Tomofuji Y, Kishikawa T, Sonehara K, Maeda Y, Ogawa K, Kawabata S, Oguro-Igashira E, Okuno T, Nii T, Kinoshita M, Takagaki M, Yamamoto K, Arase N, Yagita-Sakamaki M, Hosokawa A, Motooka D, Matsumoto Y, Matsuoka H, Yoshimura M, Ohshima S, Nakamura S, Fujimoto M, Inohara H, Kishima H, Mochizuki H, Takeda K, Kumanogoh A, Okada Y. Analysis of gut microbiome, host genetics, and plasma metabolites reveals gut microbiome-host interactions in the Japanese population. Cell Rep 2023; 42:113324. [PMID: 37935197 DOI: 10.1016/j.celrep.2023.113324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/11/2023] [Accepted: 10/06/2023] [Indexed: 11/09/2023] Open
Abstract
Interaction between the gut microbiome and host plays a key role in human health. Here, we perform a metagenome shotgun-sequencing-based analysis of Japanese participants to reveal associations between the gut microbiome, host genetics, and plasma metabolome. A genome-wide association study (GWAS) for microbial species (n = 524) identifies associations between the PDE1C gene locus and Bacteroides intestinalis and between TGIF2 and TGIF2-RAB5IF gene loci and Bacteroides acidifiaciens. In a microbial gene ortholog GWAS, agaE and agaS, which are related to the metabolism of carbohydrates forming the blood group A antigen, are associated with blood group A in a manner depending on the secretor status determined by the East Asian-specific FUT2 variant. A microbiome-metabolome association analysis (n = 261) identifies associations between bile acids and microbial features such as bile acid metabolism gene orthologs including bai and 7β-hydroxysteroid dehydrogenase. Our publicly available data will be a useful resource for understanding gut microbiome-host interactions in an underrepresented population.
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Affiliation(s)
- Yoshihiko Tomofuji
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Tsurumi 230-0045, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo 113-8654, Japan.
| | - Toshihiro Kishikawa
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Head and Neck Surgery, Aichi Cancer Center Hospital, Nagoya 464-8681, Japan
| | - Kyuto Sonehara
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Tsurumi 230-0045, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo 113-8654, Japan
| | - Yuichi Maeda
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Kotaro Ogawa
- Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Shuhei Kawabata
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Eri Oguro-Igashira
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Tatsusada Okuno
- Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Takuro Nii
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Makoto Kinoshita
- Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Masatoshi Takagaki
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Pediatrics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita 565-0871, Japan
| | - Noriko Arase
- Department of Dermatology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Mayu Yagita-Sakamaki
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Akiko Hosokawa
- Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Neurology, Suita Municipal Hospital, Suita 564-8567, Japan
| | - Daisuke Motooka
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita 565-0871, Japan
| | - Yuki Matsumoto
- Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita 565-0871, Japan
| | - Hidetoshi Matsuoka
- Department of Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano 586-8521, Japan
| | - Maiko Yoshimura
- Department of Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano 586-8521, Japan
| | - Shiro Ohshima
- Department of Rheumatology and Allergology, NHO Osaka Minami Medical Center, Kawachinagano 586-8521, Japan
| | - Shota Nakamura
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Suita 565-0871, Japan; Center for Infectious Disease Education and Research, Osaka University, Suita 565-0871, Japan
| | - Manabu Fujimoto
- Department of Dermatology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Hidenori Inohara
- Department of Otorhinolaryngology-Head and Neck Surgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Haruhiko Kishima
- Department of Neurosurgery, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Hideki Mochizuki
- Department of Neurology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan
| | - Kiyoshi Takeda
- Laboratory of Immune Regulation, Department of Microbiology and Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Center for Infectious Disease Education and Research, Osaka University, Suita 565-0871, Japan; WPI Immunology Frontier Research Center, Osaka University, Suita 565-0871, Japan
| | - Atsushi Kumanogoh
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Department of Immunopathology, Immunology Frontier Research Center, Osaka University, Suita 565-0871, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Tsurumi 230-0045, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo 113-8654, Japan; Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita 565-0871, Japan; Center for Infectious Disease Education and Research, Osaka University, Suita 565-0871, Japan; Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), Osaka University, Suita 565-0871, Japan.
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Huang B, Khan MZ, Chen Y, Liang H, Kou X, Wang X, Ren W, Wang C, Zhang Z. Yeast polysaccharide supplementation: impact on lactation, growth, immunity, and gut microbiota in Dezhou donkeys. Front Microbiol 2023; 14:1289371. [PMID: 38029159 PMCID: PMC10666639 DOI: 10.3389/fmicb.2023.1289371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction The Dezhou donkey, a prominent Chinese breed, is known for its remarkable size, rapid growth, and resilience to tough feeding conditions, and disease resistance. These traits are crucial in meeting the growing demand for Ejiao and donkey meat. Yeast polysaccharide (YPS), a functional polysaccharide complex known for its immune-enhancing and growth-promoting properties in livestock and poultry, remains relatively understudied in donkeys. Objectives This study aimed to investigate the impact of YPS supplementation on lactating and growing Dezhou donkey jennies and foals. Materials and methods Twelve 45-day-old Dezhou donkey foals and their jennies, matched for body weight and age, were randomly allocated to two dietary groups: a control group receiving a basal diet and an experimental group receiving the basal diet supplemented with 10 g/pen of YPS. The experiment was conducted over a 23-day period, during which donkey foals and lactating jennies were co-housed. Results and discussion The findings revealed that YPS supplementation had no adverse effects on milk production or composition in Dezhou donkey jennies but significantly increased feed intake. Additionally, YPS was associated with increased plasma glucose and creatinine concentrations in foals, while tending to decrease alkaline phosphatase, white blood cell count, red blood cell count, and hemoglobin levels (p < 0.10). Immune indices demonstrated that YPS supplementation elevated the levels of immunoglobulin A (IgA) and immunoglobulin G (IgG) in jennies (p < 0.05) and increased complement component C4 concentrations in foals (p < 0.05). Moreover, YPS positively influenced the fecal microbiome, promoting the abundance of beneficial microorganisms such as Lactobacillus and Prevotella in donkey foals and Terriporobacter and Cellulosilyticum in jennies, all of which contribute to enhanced feed digestion. Additionally, YPS induced alterations in the plasma metabolome for both jennies and foals, with a predominant presence of lipids and lipid-like molecules. Notably, YPS increased the concentrations of specific lipid metabolites, including 13,14-Dihydro PGF2a, 2-Isopropylmalic acid, 2,3-Dinor-TXB2, Triterpenoids, Taurocholic acid, and 3b-Allotetrahydrocortisol, all of which are associated with improved animal growth. Conclusion In conclusion, this study suggests that dietary supplementation of YPS enhances feed intake, boosts immunity by increasing immunoglobulin levels, stimulates the growth-promoting gut microbiota (Lactobacillus and Prevotella), and exerts no adverse effects on the metabolism of both Dezhou donkey jennies and foals.
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Affiliation(s)
- Bingjian Huang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
- College of Life Sciences, Liaocheng University, Liaocheng, China
| | - Muhammad Zahoor Khan
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
- Faculty of Veterinary and Animal Sciences, University of Agriculture Dera Ismail Khan, Dera Ismail Khan, Pakistan
| | - Yinghui Chen
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
- College of Life Sciences, Liaocheng University, Liaocheng, China
| | - Huili Liang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
| | - Xiyan Kou
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
| | - Xinrui Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
| | - Wei Ren
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
| | - Changfa Wang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
| | - Zhenwei Zhang
- Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, China
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Zhang Y, Lyu Y, Chen L, Cao K, Chen J, He C, Lyu X, Jiang Y, Xiang J, Liu B, Wu C. Exploring the Prognosis-Related Genetic Variation in Gastric Cancer Based on mGWAS. Int J Mol Sci 2023; 24:15259. [PMID: 37894938 PMCID: PMC10607287 DOI: 10.3390/ijms242015259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/30/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
The use of metabolome genome-wide association studies (mGWAS) has been shown to be effective in identifying functional genes in complex diseases. While mGWAS has been applied to biomedical and pharmaceutical studies, its potential in predicting gastric cancer prognosis has yet to be explored. This study aims to address this gap and provide insights into the genetic basis of GC survival, as well as identify vital regulatory pathways in GC cell progression. Genome-wide association analysis of plasma metabolites related to gastric cancer prognosis was performed based on the Generalized Linear Model (GLM). We used a log-rank test, LASSO regression, multivariate Cox regression, GO enrichment analysis, and the Cytoscape software to visualize the complex regulatory network of genes and metabolites and explored in-depth genetic variation in gastric cancer prognosis based on mGWAS. We found 32 genetic variation loci significantly associated with GC survival-related metabolites, corresponding to seven genes, VENTX, PCDH 7, JAKMIP1, MIR202HG, MIR378D1, LINC02472, and LINC02310. Furthermore, this study identified 722 Single nucleotide polymorphism (SNP) sites, suggesting an association with GC prognosis-related metabolites, corresponding to 206 genes. These 206 possible functional genes for gastric cancer prognosis were mainly involved in cellular signaling molecules related to cellular components, which are mainly involved in the growth and development of the body and neurological regulatory functions related to the body. The expression of 23 of these genes was shown to be associated with survival outcome in gastric cancer patients in The Cancer Genome Atlas (TCGA) database. Based on the genome-wide association analysis of prognosis-related metabolites in gastric cancer, we suggest that gastric cancer survival-related genes may influence the proliferation and infiltration of gastric cancer cells, which provides a new idea to resolve the complex regulatory network of gastric cancer prognosis.
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Affiliation(s)
- Yuling Zhang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Yanping Lyu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Liangping Chen
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Kang Cao
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Jingwen Chen
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Chenzhou He
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Xuejie Lyu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Yu Jiang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Jianjun Xiang
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Baoying Liu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
| | - Chuancheng Wu
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou 350108, China; (Y.Z.); (Y.L.); (L.C.); (K.C.); (J.C.); (C.H.); (X.L.); (Y.J.); (J.X.); (B.L.)
- The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou 350108, China
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Xiang X, Chen J, Zhu M, Gao H, Liu X, Wang Q. Multiomics Revealed the Multi-Dimensional Effects of Late Sleep on Gut Microbiota and Metabolites in Children in Northwest China. Nutrients 2023; 15:4315. [PMID: 37892391 PMCID: PMC10609417 DOI: 10.3390/nu15204315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/23/2023] [Accepted: 09/06/2023] [Indexed: 10/29/2023] Open
Abstract
Background Sleep plays a pivotal role in children's mental and physical development and has been linked to the gut microbiota in animals and adults. However, the characteristics of the gut microbiota and metabolites and the relationship to late bedtimes in children remain unclear. Methods In total, 88 eligible children, aged from 3 to 8 years, were recruited and divided into two groups according to the bedtime collected by designed questionnaires (early, before 22:00: n = 48; late, after 22:00, n = 40). Stools and plasma samples were collected to examine the characteristics of the gut microbiota and metabolites by shotgun metagenomics and metabolomics. Results The richness and diversity of the gut microbiota in children with early bedtime were significantly increased compared with the late ones. Coprococcus, Collinsella, Akkermansia muciniphila, and Bifidobacterium adolescentis were significantly more abundant in children with early bedtime, while Bacteroides and Clostridium sp. CAG-253 were obviously enriched in the late ones. A total of 106 metabolic pathways, including biosynthesis of ribonucleotide, peptidoglycan, and amino acids, and starch degradation were enriched in children with early bedtime, while 42 pathways were abundant in those with late bedtime. Notably, more gut microbial metabolites were observed in children with late bedtime, which included aldehyde, ketones, esters, amino acids and their metabolites, benzene and substituted derivatives, bile acids, heterocyclic compounds, nucleotide and metabolites, organic acid and derivatives, sugars and acyl carnitine. In plasma, fatty amides, lipids, amino acids, metabolites, hormones, and related compounds were enriched in children with early bedtime, while bile acids were higher in children with late bedtime. Association studies revealed that the different microbial species were correlated with metabolites from gut microbiota and plasma. Conclusions The results of our study revealed that the gut microbiota diversity and richness, and metabolic pathways were significantly extensive in children with early bedtime, whereas the gut microbial metabolites were significantly decreased, which might be related to gut microbial differences.
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Affiliation(s)
- Xuesong Xiang
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.)
| | - Juanjuan Chen
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou 730030, China
| | - Mingyu Zhu
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.)
| | - Huiyu Gao
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.)
| | - Xiaobing Liu
- Key Laboratory of Trace Element Nutrition of National Health Commission, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China; (X.X.)
| | - Qi Wang
- Cuiying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou 730030, China
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Zhang Q, Li M, Yin Y, Ge S, Li D, Ahmad IM, Nabi G, Sun Y, Luo X, Li D. Physiological but not morphological adjustments along latitudinal gradients in a human commensal species, the Eurasian tree sparrow. Integr Zool 2023; 18:891-905. [PMID: 36880561 DOI: 10.1111/1749-4877.12709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
Human commensal species take advantage of anthropogenic conditions that are less likely to be challenged by the selective pressures of natural environments. Their morphological and physiological phenotypes can therefore dissociate from habitat characteristics. Understanding how these species adjust their morphological and physiological traits across latitudinal gradients is fundamental to uncovering the eco-physiological strategies underlying coping mechanisms. Here, we studied morphological traits in breeding Eurasian tree sparrows (ETSs; Passer montanus) among low-latitude (Yunnan and Hunan) and middle-latitude (Hebei) localities in China. We then compared body mass; lengths of bill, tarsometatarsus, wing, total body, and tail feather; and baseline and capture stress-induced levels of plasma corticosterone (CORT) and the metabolites including glucose (Glu), total triglyceride (TG), free fatty acid (FFA), total protein, and uric acid (UA). None of the measured morphological parameters varied with latitude except in the Hunan population, which demonstrated longer bills than those in other populations. Stress-induced CORT levels significantly exceeded baseline levels and decreased with increasing latitude, but total integrated CORT levels did not vary with latitude. Capture stress-induced significantly increased Glu levels and decreased TG levels, independent of site. However, the Hunan population had significantly higher baseline CORT, baseline and stress-induced FFA levels, but lower UA levels, which differed from other populations. Our results suggest that rather than morphological adjustments, physiological adjustments are mainly involved in coping mechanisms for middle-latitude adaptation in ETSs. It is worth investigating whether other avian species also exhibit such dissociation from external morphological designs while depending on physiological adjustments.
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Affiliation(s)
- Qian Zhang
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Mo Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Yuan Yin
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Shiyong Ge
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Danjie Li
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Faculty of Biodiversity and Conservation, Southwest Forestry University, Kunming, China
| | - Ibrahim M Ahmad
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Ghulam Nabi
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
| | - Yanfeng Sun
- Ocean College, Hebei Agricultural University, Qinhuangdao, China
| | - Xu Luo
- Key Laboratory for Conserving Wildlife with Small Populations in Yunnan, Faculty of Biodiversity and Conservation, Southwest Forestry University, Kunming, China
| | - Dongming Li
- Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Hebei Collaborative Innovation Center for Eco-Environment, Hebei Normal University, Shijiazhuang, China
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Chen Q, Liu M, Guo H, Wang K, Liu J, Wang Y, Lin Y, Li J, Li P, Yang L, Jia L, Yang J, Li P, Song H. Altered Respiratory Microbiomes, Plasma Metabolites, and Immune Responses in Influenza A Virus and Methicillin-Resistant Staphylococcus aureus Coinfection. Microbiol Spectr 2023; 11:e0524722. [PMID: 37318361 PMCID: PMC10433956 DOI: 10.1128/spectrum.05247-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 05/29/2023] [Indexed: 06/16/2023] Open
Abstract
Influenza A virus (IAV)-methicillin-resistant Staphylococcus aureus (MRSA) coinfection causes severe respiratory infections. The host microbiome plays an important role in respiratory tract infections. However, the relationships among the immune responses, metabolic characteristics, and respiratory microbial characteristics of IAV-MRSA coinfection have not been fully studied. We used specific-pathogen-free (SPF) C57BL/6N mice infected with IAV and MRSA to build a nonlethal model of IAV-MRSA coinfection and characterized the upper respiratory tract (URT) and lower respiratory tract (LRT) microbiomes at 4 and 13 days postinfection by full-length 16S rRNA gene sequencing. Immune response and plasma metabolism profile analyses were performed at 4 days postinfection by flow cytometry and liquid chromatography-tandem mass spectrometry (LC-MS/MS). The relationships among the LRT microbiota, the immune response, and the plasma metabolism profile were analyzed by Spearman's correlation analysis. IAV-MRSA coinfection showed significant weight loss and lung injury and significantly increased loads of IAV and MRSA in bronchoalveolar lavage fluid (BALF). Microbiome data showed that coinfection significantly increased the relative abundances of Enterococcus faecalis, Enterobacter hormaechei, Citrobacter freundii, and Klebsiella pneumoniae and decreased the relative abundances of Lactobacillus reuteri and Lactobacillus murinus. The percentages of CD4+/CD8+ T cells and B cells in the spleen; the levels of interleukin-9 (IL-9), interferon gamma (IFN-γ), tumor necrosis factor alpha (TNF-α), IL-6, and IL-8 in the lung; and the level of mevalonolactone in plasma were increased in IAV-MRSA-coinfected mice. L. murinus was positively correlated with lung macrophages and natural killer (NK) cells, negatively correlated with spleen B cells and CD4+/CD8+ T cells, and correlated with multiple plasma metabolites. Future research is needed to clarify whether L. murinus mediates or alters the severity of IAV-MRSA coinfection. IMPORTANCE The respiratory microbiome plays an important role in respiratory tract infections. In this study, we characterized the URT and LRT microbiota, the host immune response, and plasma metabolic profiles during IAV-MRSA coinfection and evaluated their correlations. We observed that IAV-MRSA coinfection induced severe lung injury and dysregulated host immunity and plasma metabolic profiles, as evidenced by the aggravation of lung pathological damage, the reduction of innate immune cells, the strong adaptation of the immune response, and the upregulation of mevalonolactone in plasma. L. murinus was strongly correlated with immune cells and plasma metabolites. Our findings contribute to a better understanding of the role of the host microbiome in respiratory tract infections and identified a key bacterial species, L. murinus, that may provide important references for the development of probiotic therapies.
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Affiliation(s)
- Qichao Chen
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Manjiao Liu
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing City, Jiangsu Province, China
- Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing City, Jiangsu Province, China
| | - Hao Guo
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing City, Jiangsu Province, China
- Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing City, Jiangsu Province, China
| | - Kaiying Wang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Jiangfeng Liu
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Yun Wang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
- School of Public Health, China Medical University, Shenyang City, Liaoning Province, China
| | - Yanfeng Lin
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Jinhui Li
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Peihan Li
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Lang Yang
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Leili Jia
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Juntao Yang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Peng Li
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
| | - Hongbin Song
- Academy of Military Medical Sciences, Academy of Military Sciences, Beijing, China
- Center for Disease Control and Prevention of Chinese PLA, Beijing, China
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Yan H, Zhao S, Huang HX, Xie P, Cai XH, Qu YD, Zhang W, Luo JQ, Zhang L, Li X. Systematic Mendelian randomization study of the effect of gut microbiome and plasma metabolome on severe COVID-19. Front Immunol 2023; 14:1211612. [PMID: 37662924 PMCID: PMC10468967 DOI: 10.3389/fimmu.2023.1211612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/20/2023] [Indexed: 09/05/2023] Open
Abstract
Background COVID-19 could develop severe respiratory symptoms in certain infected patients, especially in the patients with immune disorders. Gut microbiome and plasma metabolome act important immunological modulators in the human body and could contribute to the immune responses impacting the progression of COVID-19. However, the causal relationship between specific intestinal bacteria, metabolites and severe COVID-19 remains not clear. Methods Based on two-sample Mendelian randomization (MR) framework, the causal effects of 131 intestinal taxa and 452 plasma metabolites on severe COVID-19 were evaluated. Single nucleotide polymorphisms (SNPs) strongly associated with the abundance of intestinal taxa and the concentration of plasma metabolites had been utilized as the instrument variables to infer whether they were causal factors of severe COVID-19. In addition, mediation analysis was conducted to find the potential association between the taxon and metabolite, and further colocalization analysis had been performed to validate the causal relationships. Results MR analysis identified 13 taxa and 53 metabolites, which were significantly associated with severe COVID-19 as causal factors. Mediation analysis revealed 11 mediated relationships. Myo-inositol, 2-stearoylglycerophosphocholine, and alpha-glutamyltyrosine, potentially contributed to the association of Howardella and Ruminiclostridium 6 with severe COVID-19, respectively. Butyrivibrio and Ruminococcus gnavus could mediate the association of myo-inositol and N-acetylalanine, respectively. In addition, Ruminococcus torques abundance was colocalized with severe COVID-19 (PP.H4 = 0.77) and the colon expression of permeability related protein RASIP1 (PP.H4 = 0.95). Conclusions Our study highlights the potential causal relationships between gut microbiome, plasma metabolome and severe COVID-19, which potentially serve as clinical biomarkers for risk stratification and prognostication and benefit the mechanism mechanistic investigation of severe COVID-19.
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Affiliation(s)
- Han Yan
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Si Zhao
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Han-Xue Huang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Pan Xie
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xin-He Cai
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yun-Dan Qu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jian-Quan Luo
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Longbo Zhang
- Departments of Neurosurgery, Changde Hospital, Xiangya School of Medicine, Central South University, Changde, Hunan, China
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, United States
| | - Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Institute of Clinical Pharmacology, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, Hunan, China
- Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
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12
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O'Connor LE, Hall KD, Herrick KA, Reedy J, Chung ST, Stagliano M, Courville AB, Sinha R, Freedman ND, Hong HG, Albert PS, Loftfield E. Metabolomic Profiling of an Ultraprocessed Dietary Pattern in a Domiciled Randomized Controlled Crossover Feeding Trial. J Nutr 2023; 153:2181-2192. [PMID: 37276937 PMCID: PMC10447619 DOI: 10.1016/j.tjnut.2023.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 06/07/2023] Open
Abstract
BACKGROUND Objective markers of ultraprocessed foods (UPF) may improve the assessment of UPF intake and provide insight into how UPF influences health. OBJECTIVES To identify metabolites that differed between dietary patterns (DPs) high in or void of UPF according to Nova classification. METHODS In a randomized, crossover, controlled-feeding trial (clinicaltrials.govNCT03407053), 20 domiciled healthy participants (mean ± standard deviation: age 31 ± 7 y, body mass index [kg/m2] 22 ± 11.6) consumed ad libitum a UPF-DP (80% UPF) and an unprocessed DP (UN-DP; 0% UPF) for 2 wk each. Metabolites were measured using liquid chromatography with tandem mass spectrometry in ethylenediaminetetraacetic acid plasma, collected at week 2 and 24-h, and spot urine, collected at weeks 1 and 2, of each DP. Linear mixed models, adjusted for energy intake, were used to identify metabolites that differed between DPs. RESULTS After multiple comparisons correction, 257 out of 993 plasma and 606 out of 1279 24-h urine metabolites differed between UPF-DP and UN-DP. Overall, 21 known and 9 unknown metabolites differed between DPs across all time points and biospecimen types. Six metabolites were higher (4-hydroxy-L-glutamic acid, N-acetylaminooctanoic acid, 2-methoxyhydroquinone sulfate, 4-ethylphenylsulfate, 4-vinylphenol sulfate, and acesulfame) and 14 were lower following the UPF-DP; pimelic acid, was lower in plasma but higher in urine following the UPF-DP. CONCLUSIONS Consuming a DP high in, compared with 1 void of, UPF has a measurable impact on the short-term human metabolome. Observed differential metabolites could serve as candidate biomarkers of UPF intake or metabolic response in larger samples with varying UPF-DPs. This trial was registered at clinicaltrials.gov as NCT03407053 and NCT03878108.
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Affiliation(s)
- Lauren E O'Connor
- Food Components and Health Laboratory, Beltsville Human Nutrition Research Center, Agricultural Research Service, USDA, Beltsville, MD, USA; Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Kevin D Hall
- Laboratory of Biological Modeling, NIDDK, Bethesda, MD, USA
| | - Kirsten A Herrick
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Jill Reedy
- Division of Cancer Control and Population Sciences, Risk Factor Assessment Branch, NCI, Bethesda, MD, USA
| | - Stephanie T Chung
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Michael Stagliano
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Amber B Courville
- Diabetes, Endocrinology, and Obesity Branch, NIDDK, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA
| | - Hyokyoung G Hong
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Paul S Albert
- Division of Cancer Epidemiology and Genetics, Biostatistics Branch, NCI, Bethesda, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, Metabolic Epidemiology Branch, NCI, Bethesda, MD, USA.
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13
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Chen BY, Li YL, Lin WZ, Bi C, Du LJ, Liu Y, Zhou LJ, Liu T, Xu S, Zhang J, Liu Y, Zhu H, Zhang WC, Zhang ZY, Duan SZ. Integrated Omic Analysis of Human Plasma Metabolites and Microbiota in a Hypertension Cohort. Nutrients 2023; 15:2074. [PMID: 37432207 DOI: 10.3390/nu15092074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 04/16/2023] [Accepted: 04/23/2023] [Indexed: 07/12/2023] Open
Abstract
Hypertension is closely related to metabolic dysregulation, which is associated with microbial dysbiosis and altered host-microbiota interactions. However, plasma metabolite profiles and their relationships to oral/gut microbiota in hypertension have not been evaluated in depth. Plasma, saliva, subgingival plaques, and feces were collected from 52 hypertensive participants and 24 healthy controls in a cross-sectional cohort. Untargeted metabolomic profiling of plasma was performed using high-performance liquid chromatography-mass spectrometry. Microbial profiling of oral and gut samples was determined via 16S rRNA and metagenomic sequencing. Correlations between metabolites and clinic parameters/microbiota were identified using Spearman's correlation analysis. Metabolomic evaluation showed distinct clusters of metabolites in plasma between hypertensive participants and control participants. Hypertensive participants had six significantly increased and thirty-seven significantly decreased plasma metabolites compared to controls. The plasma metabolic similarity significantly correlated with the community similarity of microbiota. Both oral and gut microbial community composition had significant correlations with metabolites such as Sphingosine 1-phosphate, a molecule involved in the regulation of blood pressure. Plasma metabolites had a larger number of significant correlations with bacterial genera than fungal genera. The shared oral/gut bacterial genera had more correlations with metabolites than unique genera but shared fungal genera and metabolites did not show clear clusters. The hypertension group had fewer correlations between plasma metabolites and bacteria/fungi than controls at species level. The integrative analysis of plasma metabolome and oral/gut microbiome identified unreported alterations of plasma metabolites in hypertension and revealed correlations between altered metabolites and oral/gut microbiota. These observations suggested metabolites and microbiota may become valuable targets for therapeutic and preventive interventions of hypertension.
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Affiliation(s)
- Bo-Yan Chen
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Yu-Lin Li
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Wen-Zhen Lin
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Chao Bi
- Department of Stomatology, First Affiliated Hospital, Anhui Medical University, Hefei 230022, China
| | - Lin-Juan Du
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Yuan Liu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Lu-Jun Zhou
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
- Department of General Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Ting Liu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Shuo Xu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Jun Zhang
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Yan Liu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Hong Zhu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Wu-Chang Zhang
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Zhi-Yuan Zhang
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Sheng-Zhong Duan
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
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14
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Wang Y, Yu Q, Wang X, Song J, Lambo MT, Huang J, He P, Li Y, Zhang Y. Replacing alfalfa hay with industrial hemp ethanol extraction byproduct and Chinese wildrye hay: Effects on lactation performance, plasma metabolites, and bacterial communities in Holstein cows. Front Vet Sci 2023; 10:1061219. [PMID: 36777679 PMCID: PMC9909549 DOI: 10.3389/fvets.2023.1061219] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 01/09/2023] [Indexed: 01/27/2023] Open
Abstract
This trial was designed to investigate the effects of industrial hemp ethanol extraction byproduct (IHEEB) and Chinese wildrye hay (CWH) replacement of alfalfa hay (AH) on digestibility, and lactation performance, plasma metabolites, ruminal fermentation, and bacterial communities in Holstein dairy cows. Nine healthy multiparous Holstein cows (parity = 3) with similar body weights (584 ± 12.3 kg), days in milk (108 ± 11.4), and milk yields (30 ± 1.93 kg; all mean ± standard deviation) were used in a replicated 3 × 3 Latin square design with 3 periods of 21 d. During each period, each group consumed 1 of 3 diets: (1) 0% IHEEB (0IHEEB); (2) 6.0% IHEEB and 1.7% Chinese wildrye hay (6IHEEB); (3) 10.8% IHEEB and 4.3% Chinese wildrye hay (11IHEEB). The diets in each group were isocaloric and isonitrogenous, with similar contents of concentrate and silage but different ratios of IHEEB and CWH to replace AH. The results showed that increasing the substitute did not affect the total-tract apparent nutrient digestibility. There was no difference in lactation performance of dairy cows fed the three diets, except for the cows' somatic cell count (SCC), which decreased with the increase in the amount of the substitute. Cannabidiol and tetrahydrocannabinol were not detected in milk samples of dairy cows in the different treatment groups. 6IHEEB and 11IHEEB-fed cows showed a linear decrease in total volatile fatty acids (VFA) and butyrate compared to the 0IHEEB cows. Plasma IL-1β content quadratically decreased with feeding IHEEB and CWH, and other blood parameters were unaffected. The rumen fluid's relative abundances of Bacteroidota, Fibrobacterota, and Prevotellaceae quadratically increased, while Firmicutes tended to decrease quadratically as the substitution increased. Feeding IHEEB and CWH linearly increased the relative abundances of Firmicutes, Lachnospiraceae, Monoglobaceae, and Butyricicoccaceae in the feces. As the substitution increased, the cost of dairy farming was reduced. In summary, substituting AH with IHEEB and CWH in diets did not affect the total-tract apparent nutrient digestibility, improved milk composition, and plasma immune indices. It changed the bacterial composition in rumen fluid and feces and improved dairy farming benefits.
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Affiliation(s)
- Yiqiang Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Qingyuan Yu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Xiaolin Wang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Jiamei Song
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Modinat Tolani Lambo
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Jianguo Huang
- Heilongjiang Wellhope Agri-Tech Co., Ltd., Harbin, China
| | - Ping He
- Harbin Wellhope Trading Co., Ltd., Harbin, China
| | - Yang Li
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China,*Correspondence: Yang Li ✉
| | - Yonggen Zhang
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China,Yonggen Zhang ✉
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15
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Bruun TS, Eskildsen M, Hojgaard CK, Nørskov NP, Knudsen KEB, Theil PK, Feyera T. Feeding level during the last week of gestation can influence performance of sows and their litters in the subsequent lactation. J Anim Sci 2023; 101:skad349. [PMID: 37813381 PMCID: PMC10590173 DOI: 10.1093/jas/skad349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 10/07/2023] [Indexed: 10/11/2023] Open
Abstract
This study investigated the impact of feeding level during the last week of gestation on performance of sows and their litters in the subsequent lactation. A total of 48 sows were assigned to one of six feeding levels (1.8, 2.4, 3.1, 3.7, 4.3, or 5.0 kg/d) from day 108 of gestation until farrowing. Post-farrowing, all sows were fed similarly during lactation with a gradual increase in feed allowance in accordance with Danish recommendation until it reached the maximum allowance of 9 kg/d on day 17 of lactation. Plasma samples were collected from the sows during farrowing and lactation, and sow's body weight and backfat thickness, and milk samples were taken during lactation. Litters were standardized to have 13 to 15 piglets each and weighed once weekly during lactation. Plasma concentrations of urea, acetate, and butyrate in sows linearly increased (P < 0.001), while non-esterified fatty acids linearly decreased (P < 0.001) during farrowing with increasing feeding level. Moreover, concentrations of triglycerides (P < 0.001), acetate (P = 0.007), and succinate (P < 0.001) were greater in plasma collected at the onset of farrowing compared to the end of farrowing. Conversely, concentrations of glucose, urea, and butyrate (P < 0.001) were lower in plasma collected at the onset of farrowing than at the end. Sows fed 2.4 and 3.1 kg/d exhibited greater triglyceride concentrations than those fed 3.7 (P = 0.03) and 5.0 (P = 0.02) kg/d. Sows fed 1.8 kg/d during the last week of gestation had lower milk yield in wk 1 (P < 0.001) and wk 2 (P = 0.001) of lactation compared to the other groups. Additionally, litter weight gain (P = 0.04) and litter weaning weight (P = 0.007) were lower in sows fed 1.8 kg/d compared to the other groups. The greatest milk yield, litter growth, and litter size were observed in sows fed 3.7 kg/d during the last week of gestation, whereas the estimate generated by the regression model revealed that sows should have been provided with 4.0 to 4.1 kg/d as an adequate feeding level to maximize these performances in the subsequent lactation. Interestingly, feeding level during the last week of gestation did not influence feed intake during lactation. In conclusion, this study highlights the significance of adequate feed supply (4.0 to 4.1 kg/d) during the last week of gestation in order to maximize performance of sows in the subsequent lactation.
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Affiliation(s)
| | - Maria Eskildsen
- Department of Animal and Veterinary Sciences, Aarhus University AU-Viborg, DK-8830 Tjele, Denmark
| | | | - Natalja P Nørskov
- Department of Animal and Veterinary Sciences, Aarhus University AU-Viborg, DK-8830 Tjele, Denmark
| | - Knud Erik Bach Knudsen
- Department of Animal and Veterinary Sciences, Aarhus University AU-Viborg, DK-8830 Tjele, Denmark
| | - Peter K Theil
- Department of Animal and Veterinary Sciences, Aarhus University AU-Viborg, DK-8830 Tjele, Denmark
| | - Takele Feyera
- Department of Animal and Veterinary Sciences, Aarhus University AU-Viborg, DK-8830 Tjele, Denmark
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16
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Tran BTT, Gelin A, Durand S, Texier M, Daste A, Toullec C, Benihoud K, Breuskin I, Gorphe P, Garic F, Brenner C, Le Tourneau C, Fayette J, Niki T, David M, Busson P, Even C. Plasma galectins and metabolites in advanced head and neck carcinomas: evidence of distinct immune characteristics linked to hypopharyngeal tumors. Oncoimmunology 2022; 12:2150472. [PMID: 36545254 PMCID: PMC9762837 DOI: 10.1080/2162402x.2022.2150472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Extra-cellular galectins 1, 3 and 9 (gal-1, -3 and -9) are known to act as soluble immunosuppressive agents in various malignancies. Previous publications have suggested that their expression is dependent on the metabolic status of producing cells and reciprocally that they can influence metabolic pathways in their target cells. Very little is known about the status of gal-1, -3 and -9 in patients bearing head and neck squamous cell carcinomas (HNSCC) and about their relationships with the systemic metabolic condition. This study was conducted in plasma samples from a prospective cohort of 83 HNSCC patients with advanced disease. These samples were used to explore the distribution of gal-1, -3 and -9 and simultaneously to profile a series of 87 metabolites assessed by mass spectrometry. We identified galectin and metabolic patterns within five disease categories defined according to the primary site and human papillomavirus (HPV) status (HPV-positive and -negative oropharyngeal carcinomas, carcinomas of the oral cavity, hypopharynx and larynx carcinomas). Remarkably, samples related to hypopharyngeal carcinomas displayed the highest average concentration of gal-9 (p = .017) and a trend toward higher concentrations of kynurenine, a potential factor of tumor growth and immune suppression. In contrast, there was a tendency toward higher concentrations of fatty acids in samples related to oral cavity. These observations emphasize the diversity of HPV-negative HNSCCs. Depending on their primary site, they evolve into distinct types of immune and metabolic landscapes that seem to be congruent with specific oncogenic mechanisms.
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Affiliation(s)
- Bao-Tram Thi Tran
- CNRS UMR 9018-METSY, Gustave Roussy and Université Paris-Saclay, Villejuif, France
| | - Aurore Gelin
- CNRS UMR 9018-METSY, Gustave Roussy and Université Paris-Saclay, Villejuif, France
| | - Sylvère Durand
- Plateforme de Métabolomique/UMR 1138, Gustave Roussy and Université Paris-Saclay, Villejuif, France
| | - Matthieu Texier
- Service d’Epidémiologie et de Biostatistiques, Gustave Roussy and Université Paris-Saclay, Villejuif, France
| | - Amaury Daste
- Department of Medical Oncology, Hôpital Saint André, Bordeaux, France
| | - Clémence Toullec
- GI and Liver/Head and Neck unit, Institut du Cancer-Avignon Provence, Avignon, France
| | - Karim Benihoud
- CNRS UMR 9018-METSY, Gustave Roussy and Université Paris-Saclay, Villejuif, France
| | - Ingrid Breuskin
- Service de Cancérologie Cervico-Faciale, Gustave Roussy, Villejuif, France
| | - Philippe Gorphe
- Service de Cancérologie Cervico-Faciale, Gustave Roussy, Villejuif, France
| | | | - Catherine Brenner
- CNRS UMR 9018-METSY, Gustave Roussy and Université Paris-Saclay, Villejuif, France
| | - Christophe Le Tourneau
- Department of Drug Development and Innovation (D3i), Institut Curie and Paris-Saclay University, Paris, France
| | - Jérôme Fayette
- Claude Bernard Lyon 1 University, INSERM 1052, CNRS 5286 & Department of Medical Oncology, Centre Léon Bérard, Cancer Research Center of Lyon, Lyon, France
| | - Toshiro Niki
- Department of Immunology, Kagawa University, Kita-gun, Japan
| | - Muriel David
- HiFiBiO Therapeutics, Pépinière Paris Santé Cochin, Paris, France
| | - Pierre Busson
- CNRS UMR 9018-METSY, Gustave Roussy and Université Paris-Saclay, Villejuif, France,CONTACT Pierre Busson CNRS UMR 9018-METSY, Gustave Roussy, 39, Rue Camile Desmoulins, F-94805Villejuif, France
| | - Caroline Even
- Service de Cancérologie Cervico-Faciale, Gustave Roussy, Villejuif, France
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17
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Fenske RJ, Weeks AM, Daniels M, Nall R, Pabich S, Brill AL, Peter DC, Punt M, Cox ED, Davis DB, Kimple ME. Plasma Prostaglandin E 2 Metabolite Levels Predict Type 2 Diabetes Status and One-Year Therapeutic Response Independent of Clinical Markers of Inflammation. Metabolites 2022; 12:metabo12121234. [PMID: 36557272 PMCID: PMC9783643 DOI: 10.3390/metabo12121234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
Over half of patients with type 2 diabetes (T2D) are unable to achieve blood glucose targets despite therapeutic compliance, significantly increasing their risk of long-term complications. Discovering ways to identify and properly treat these individuals is a critical problem in the field. The arachidonic acid metabolite, prostaglandin E2 (PGE2), has shown great promise as a biomarker of β-cell dysfunction in T2D. PGE2 synthesis, secretion, and downstream signaling are all upregulated in pancreatic islets isolated from T2D mice and human organ donors. In these islets, preventing β-cell PGE2 signaling via a prostaglandin EP3 receptor antagonist significantly improves their glucose-stimulated and hormone-potentiated insulin secretion response. In this clinical cohort study, 167 participants, 35 non-diabetic, and 132 with T2D, were recruited from the University of Wisconsin Hospital and Clinics. At enrollment, a standard set of demographic, biometric, and clinical measurements were performed to quantify obesity status and glucose control. C reactive protein was measured to exclude acute inflammation/illness, and white cell count (WBC), erythrocyte sedimentation rate (ESR), and fasting triglycerides were used as markers of systemic inflammation. Finally, a plasma sample for research was used to determine circulating PGE2 metabolite (PGEM) levels. At baseline, PGEM levels were not correlated with WBC and triglycerides, only weakly correlated with ESR, and were the strongest predictor of T2D disease status. One year after enrollment, blood glucose management was assessed by chart review, with a clinically-relevant change in hemoglobin A1c (HbA1c) defined as ≥0.5%. PGEM levels were strongly predictive of therapeutic response, independent of age, obesity, glucose control, and systemic inflammation at enrollment. Our results provide strong support for future research in this area.
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Affiliation(s)
- Rachel J. Fenske
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Clinical Nutrition, UW Health University Hospital, Madison, WI 53705, USA
| | - Alicia M. Weeks
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Michael Daniels
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Randall Nall
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Samantha Pabich
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Allison L. Brill
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Darby C. Peter
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Margaret Punt
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Elizabeth D. Cox
- Department of Pediatrics, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Dawn Belt Davis
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
- Correspondence: (D.B.D.); (M.E.K.); Tel.: +1-1-608-263-2443 (D.B.D.); +1-1-608-265-5627 (M.E.K.)
| | - Michelle E. Kimple
- Research Service, William S. Middleton Memorial VA Hospital, Madison, WI 53705, USA
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53792, USA
- Correspondence: (D.B.D.); (M.E.K.); Tel.: +1-1-608-263-2443 (D.B.D.); +1-1-608-265-5627 (M.E.K.)
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Junior RP, Chuffa LGA, Simão VA, Sonehara NM, Chammas R, Reiter RJ, Zuccari DAPC. Melatonin Regulates the Daily Levels of Plasma Amino Acids, Acylcarnitines, Biogenic Amines, Sphingomyelins, and Hexoses in a Xenograft Model of Triple Negative Breast Cancer. Int J Mol Sci 2022; 23:9105. [PMID: 36012374 DOI: 10.3390/ijms23169105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/04/2022] [Accepted: 08/12/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolic dysregulation as a reflection of specific metabolite production and its utilization is a common feature of many human neoplasms. Melatonin, an indoleamine that is highly available during darkness, has a variety of metabolic functions in solid tumors. Because plasma metabolites undergo circadian changes, we investigated the role of melatonin on the profile of amino acids (AAs), biogenic amines, carnitines, sphingolipids, and hexoses present in the plasma of mice bearing xenograft triple negative breast cancer (MDA-MB-231 cells) over 24 h. Plasma concentrations of nine AAs were reduced by melatonin, especially during the light phase, with a profile closer to that of non-breast cancer (BC) animals. With respect to acylcarnitine levels, melatonin reduced 12 out of 24 molecules in BC-bearing animals compared to their controls, especially at 06:00 h and 15:00 h. Importantly, melatonin reduced the concentrations of asymmetric dimethylarginine, carnosine, histamine, kynurenine, methionine sulfoxide, putrescine, spermidine, spermine, and symmetric dimethylarginine, which are associated with the BC metabolite sets. Melatonin also led to reduced levels of sphingomyelins and hexoses, which showed distinct daily variations over 24 h. These results highlight the role of melatonin in controlling the levels of plasma metabolites in human BC xenografts, which may impact cancer bioenergetics, in addition to emphasizing the need for a more accurate examination of its metabolomic changes at different time points.
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Luo Z, Ma L, Zhou T, Huang Y, Zhang L, Du Z, Yong K, Yao X, Shen L, Yu S, Shi X, Cao S. Beta-Glucan Alters Gut Microbiota and Plasma Metabolites in Pre-Weaning Dairy Calves. Metabolites 2022; 12:metabo12080687. [PMID: 35893252 PMCID: PMC9332571 DOI: 10.3390/metabo12080687] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/21/2022] [Accepted: 07/22/2022] [Indexed: 02/01/2023] Open
Abstract
The present study aims to evaluate the alterations in gut microbiome and plasma metabolites of dairy calves with β-glucan (BG) supplementation. Fourteen healthy newborn dairy calves with similar body weight were randomly divided into control (n = 7) and BG (n = 7) groups. All the calves were fed on the basal diet, while calves in the BG group were supplemented with oat BG on d 8 for 14 days. Serum markers, fecal microbiome, and plasma metabolites at d 21 were analyzed. The calves were weaned on d 60 and weighed. The mean weaning weight of the BG group was 4.29 kg heavier than that of the control group. Compared with the control group, the levels of serum globulin, albumin, and superoxide dismutase were increased in the BG group. Oat BG intake increased the gut microbiota richness and decreased the Firmicutes-to-Bacteroidetes ratio. Changes in serum markers were found to be correlated with the plasma metabolites, including sphingosine, trehalose, and 3-methoxy-4-hydroxyphenylglycol sulfate, and gut microbiota such as Ruminococcaceae_NK4A214, Alistipes, and Bacteroides. Overall, these results suggest that the BG promotes growth and health of pre-weaning dairy calves by affecting the interaction between the host and gut microbiota.
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Affiliation(s)
- Zhengzhong Luo
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu 610106, China;
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Li Ma
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Tao Zhou
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Yixin Huang
- Institute of Biodiversity, Animal Health & Comparative Medicine, College of Medical, Veterinary & Life Sciences, University of Glasgow, Glasgow G61 1QH, UK;
| | - Liben Zhang
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Zhenlong Du
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Kang Yong
- Department of Animal Science and Technology, Chongqing Three Gorges Vocational College, Chongqing 404100, China;
| | - Xueping Yao
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Liuhong Shen
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Shumin Yu
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
| | - Xiaodong Shi
- Key Laboratory of Coarse Cereal Processing, Ministry of Agriculture and Rural Affairs, Chengdu University, Chengdu 610106, China;
- Correspondence: (X.S.); (S.C.)
| | - Suizhong Cao
- Department of Clinical Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu 611130, China; (L.M.); (T.Z.); (L.Z.); (Z.D.); (X.Y.); (L.S.); (S.Y.)
- Correspondence: (X.S.); (S.C.)
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20
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Zhou Y, Wang T, Zhao X, Wang J, Wang Q. Plasma Metabolites and Gut Microbiota Are Associated With T cell Imbalance in BALB/c Model of Eosinophilic Asthma. Front Pharmacol 2022; 13:819747. [PMID: 35662725 PMCID: PMC9157759 DOI: 10.3389/fphar.2022.819747] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
The pathogenesis of allergic asthma is complex, it is usually caused by immune system imbalance. Th1, Th2, regulatory T cells (Treg) and T helper 17 (Th17) cells have an important role in the pathogenesis of eosinophilic asthma. Yet, the exact role of Th1, Th2, Treg and Th17 cells in eosinophilic asthmatic disease is not fully understood. This study used an untargeted plasma metabolomics combine 16S rDNA technology to identify new biomarkers of plasma metabolites and gut microbiota in ovalbumin-induced eosinophilic allergic asthma in BALB/c mice to further explore the biomarkers in regulating the immune balance or the immune response. We discovered that malate, l-dihydroorotate were associated with Th1/Th2 and Treg/Th17 cells balance, imidazoleacetic acid was associated with Th1/Th2 cell balance, 1,5-anhydro-d-sorbitol was associated with Treg/Th17 cell balance. The results also found that genus Candidatus Arthromitus of gut microbiota were associated with Th1/2, Treg/Th17 balance, genus Ruminiclostridium 6, they were all associated with Th1/2 and Treg/Th17 cell balance, while the gut microbiota were not associated with penh value which reflect airway hyperresponsiveness (AHR) in the eosinophilic asthma mice model. Interestingly, the plasma metabolite biomarkers of malate, l-dihydroorotate are associated with genus Ruminiclostridium 6, they were all associated with Th1/2 and Treg/Th17 cell balance, while imidazoleacetic acid is associated with genus Ruminiclostridium 6 which is associated with Th1/2 balance. Among the differential plasma metabolites, 1,5-anhydro-d-sorbitol is associated with genus Ruminiclostridium 6 and genus Candidatus Arthromitus. Among them, malate participate in the T cell activation, T cell differentiation and activation may be a new research direction in eosinophilic allergic asthma. We firstly study the gut microbiota and plasma metabolites markers of immune balance in eosinophilic asthma in mice model, laying a foundation for drug treatment in eosinophilic allergic asthma.
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Affiliation(s)
- Yumei Zhou
- National Institute of TCM Constitution and Preventive Medicine, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Tieshan Wang
- Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaoshan Zhao
- National Institute of TCM Constitution and Preventive Medicine, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Ji Wang
- National Institute of TCM Constitution and Preventive Medicine, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Qi Wang
- National Institute of TCM Constitution and Preventive Medicine, School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Winders TM, Serum EM, Smith DJ, Neville BW, Mia GK, Amat S, Dahlen CR, Swanson KC. Influence of hempseed cake inclusion on growth performance, carcass characteristics, feeding behavior and blood parameters in finishing heifers. J Anim Sci 2022; 100:6577173. [PMID: 35511706 PMCID: PMC9169985 DOI: 10.1093/jas/skac159] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 04/28/2022] [Indexed: 11/13/2022] Open
Abstract
As the hemp industry continues to develop in the US, there is interest in feeding byproducts of industrial hemp production to livestock. A completely randomized design experiment using crossbred finishing heifers [initial body weight (BW) ± SE = 494 ± 10 kg] was conducted to determine the effects of feeding hempseed cake in a corn-based finishing diet (10% forage) formulated to meet or exceed ruminally degradable and metabolizable protein requirements on growth performance, carcass characteristics, feeding behavior, and plasma parameters. Dietary treatments were inclusion of 20% [dry matter (DM) basis] of: dried corn distillers grains plus solubles (DDGS, n = 16), or hempseed cake (HEMP, n = 15). Cattle were housed in two pens, had ad-libitum access to feed and water, and individual intakes and feeding behavior were monitored using the Insentec feeding system. Cattle were fed treatment diets for 111 days, and every 14 days BW were measured, and blood samples collected. Blood plasma was analyzed for glucose, urea nitrogen, and individual amino acids and results analyzed using repeated measures analysis in SAS. Final BW, average daily gain, gain:feed, and hot carcass weight decreased (P ≤ 0.05) by 2.3%, 7.7%, 7.7%, and 2.6% respectively in heifers fed the HEMP diet than in heifers fed the DDGS diet. Net energy for maintenance and gain (Mcal/kg of feed, DM basis), estimated based on heifer intake and performance, were greater (P = 0.02) for the DDGS diet than the HEMP diet. All other performance and carcass characteristics were not different (P ≥ 0.20) between treatments. Heifers fed the HEMP diet had greater (P < 0.05) plasma urea nitrogen concentration in samples from each collection day compared to heifers fed the DDGS diet, although there was a treatment by day interaction (P < 0.01) because of variability in the magnitude of treatment differences over time. Plasma glucose concentration was not influenced (P = 0.17) by dietary treatment. Plasma concentrations of total amino acids, non-essential amino acids, and essential amino acids were not different between treatments (P ≥ 0.09), although there were several interactions between treatment and day (P ≤ 0.04) for individual amino acids. These data suggest that hempseed cake has a lower NEm and NEg relative to dried corn distillers grains plus solubles when adequate metabolizable protein is supplied, while still providing adequate nutrition to support acceptable performance of finishing cattle.
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Affiliation(s)
- Thomas M Winders
- Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | | | | | - Bryan W Neville
- Carrington Research Extension Center, Carrington, ND 58421-0219, USA
| | - Golam K Mia
- Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - Samat Amat
- Department of Microbiological Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - Carl R Dahlen
- Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
| | - Kendall C Swanson
- Department of Animal Sciences, North Dakota State University, Fargo, ND 58108-6050, USA
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22
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Beattie UK, Ysrael MC, Lok SE, Romero LM. The Effect of a Combined Fast and Chronic Stress on Body Mass, Blood Metabolites, Corticosterone, and Behavior in House Sparrows ( Passer domesticus). Yale J Biol Med 2022; 95:19-31. [PMID: 35370496 PMCID: PMC8961712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
One aspect of the Reactive Scope Model is wear-and-tear, which describes a decrease in an animal's ability to cope with a stressor, typically because of a period of chronic or repeated stressors. We investigated whether wear-and-tear due to chronic stress would accelerate a transition from phase II to phase III of fasting. We exposed house sparrows (Passer domesticus) to three weeks of daily fasts combined with daily intermittent repeated acute stressors to create chronic stress, followed by two weeks of daily fasts without stressors. We measured circulating glucose, β-hydroxybutyrate (a ketone), and uric acid in both fasted and fed states. We expected birds to be in phase II (high fat breakdown) in a fasted state, but if wear-and-tear accumulated sufficiently, we hypothesized a shift to phase III (high protein breakdown). Throughout the experiment, the birds exhibited elevated β-hydroxybutyrate when fasting but no changes in circulating uric acid, indicating that a transition to phase III did not occur. In both a fasted and fed state, the birds increased glucose mobilization throughout the experiment, suggesting wear-and-tear occurred, but was not sufficient to induce a shift to phase III. Additionally, the birds exhibited a significant decrease in weight, no change in corticosterone, and a transient decrease in neophobia with chronic stress. In conclusion, the birds appear to have experienced wear-and-tear, but our protocol did not accelerate the transition from phase II to phase III of fasting.
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Affiliation(s)
- Ursula K. Beattie
- To whom all correspondence should be addressed:
Ursula Beattie, Department of Biology, Tufts University, 200 College Avenue,
Medford, MA 02155; ; ORCID iD:
https://orcid.org/0000-0002-7131-3712
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23
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Yin X, Prendiville O, McNamara AE, Brennan L. Targeted Metabolomic Approach to Assess the Reproducibility of Plasma Metabolites over a Four Month Period in a Free-Living Population. J Proteome Res 2022; 21:683-690. [PMID: 34978446 PMCID: PMC8902803 DOI: 10.1021/acs.jproteome.1c00440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
![]()
Metabolomics
is increasingly applied to investigate diet–disease
associations in nutrition research. However, studies of metabolite
reproducibility are limited, which could hamper their use within epidemiologic
studies. The objective of this study was to evaluate the metabolite
reproducibility during 4 months in a free-living population. In the
A-DIET Confirm study, fasting plasma and dietary data were collected
once a month for 4 months. Metabolites were measured using liquid
chromatography tandem mass spectrometry, and their reproducibility
was estimated using the intraclass correlation coefficient (ICC).
Regularized canonical correlation analysis (rCCA) was employed to
examine the diet–metabolite associations. In total, 138 metabolites
were measured, and median ICC values of 0.49 and 0.65 were found for
amino acids and biogenic amines, respectively. Acylcarnitines, lysophosphatidylcholines,
phosphatidylcholines, and sphingomyelins had median ICC values of
0.69, 0.66, 0.63, and 0.63, respectively. The median ICC for all metabolites
was 0.62, and 54% of metabolites had ICC values ≥0.60. Additionally,
the rCCA heat map revealed positive correlations between dairy/meat
intake and specific lipids. In conclusion, more than half of the metabolites
demonstrated good to excellent reproducibility. A single measurement
per subject could appropriately reflect the metabolites’ long-term
concentration levels and may also be sufficient for assessing disease
risk in epidemiologic studies. The study data are deposited in MetaboLights
(MTBLS3428 (www.ebi.ac.uk/metabolights)).
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Affiliation(s)
- Xiaofei Yin
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
| | - Orla Prendiville
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
| | - Aoife E McNamara
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
| | - Lorraine Brennan
- UCD School of Agriculture and Food Science, Institute of Food and Health, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4 D4 V1W8, Ireland
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24
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Vavreckova M, Galanova N, Kostovcik M, Krystynik O, Ivanovova E, Roubalova R, Jiraskova Zakostelska Z, Friedecky D, Friedecka J, Haluzik M, Karasek D, Kostovcikova K. Specific gut bacterial and fungal microbiota pattern in the first half of pregnancy is linked to the development of gestational diabetes mellitus in the cohort including obese women. Front Endocrinol (Lausanne) 2022; 13:970825. [PMID: 36133313 PMCID: PMC9484836 DOI: 10.3389/fendo.2022.970825] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 08/15/2022] [Indexed: 11/30/2022] Open
Abstract
AIMS Gestation is linked to changes in gut microbiota composition and function. Since gestational diabetes mellitus (GDM) can develop at any time of the pregnancy, we stratified the women into four groups according to the time and test used for the diagnosis. We focused on the gut microbiota pattern in early pregnancy to detect changes which could be linked to later GDM development. METHODS We collected stool samples from 104 pregnant women including obese individuals (first trimester body mass index median was 26.73). We divided the women into four groups according to routine screening of fasting plasma glucose (FPG) levels and oral glucose tolerance test (oGTT) in the first and third trimesters, respectively. We processed the stool samples for bacterial 16S rRNA and fungal ITS1 genes sequencing by Illumina MiSeq approach and correlated the gut microbiota composition with plasma short-chain fatty acid levels (SCFA). RESULTS We found that gut bacterial microbiota in the first trimester significantly differs among groups with different GDM onset based on unweighted UniFrac distances (p=0.003). Normoglycemic women had gut microbiota associated with higher abundance of family Prevotellaceae, and order Fusobacteriales, and genus Sutterella. Women diagnosed later during pregnancy either by FGP levels or by oGTT had higher abundances of genera Enterococcus, or Erysipelotrichaceae UCG-003, respectively. We observed significant enrichment of fungal genus Mucor in healthy pregnant women whereas Candida was more abundant in the group of pregnant women with impaired oGTT. Using correlation analysis, we found that Holdemanella negatively correlated with Blautia and Candida abundances and that Escherichia/Shigella abundance positively correlated and Subdoligranulum negatively correlated with plasma lipid levels. Coprococcus, Akkermansia, Methanobrevibacter, Phascolarctobacterium and Alistipes positively correlated with acetate, valerate, 2-hydroxybutyrate and 2-methylbutyrate levels, respectively, in women with GDM. CONCLUSIONS We conclude that there are significant differences in the gut microbiota composition between pregnant women with and without GDM already at the early stage of pregnancy in our cohort that included also overweight and obese individuals. Specific microbial pattern associated with GDM development during early pregnancy and its correlation to plasma lipid or SCFA levels could help to identify women in higher risk of GDM development.
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Affiliation(s)
- Marketa Vavreckova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Natalie Galanova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Martin Kostovcik
- Laboratory of Fungal Genetics and Metabolism, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Ondrej Krystynik
- Third Department of Internal Medicine – Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc, Olomouc, Czechia
| | - Eliska Ivanovova
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, and Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czechia
| | - Radka Roubalova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Zuzana Jiraskova Zakostelska
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - David Friedecky
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, and Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czechia
| | - Jaroslava Friedecka
- Laboratory for Inherited Metabolic Disorders, Department of Clinical Biochemistry, University Hospital Olomouc, and Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czechia
| | - Martin Haluzik
- Diabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czechia
| | - David Karasek
- Third Department of Internal Medicine – Nephrology, Rheumatology and Endocrinology, University Hospital Olomouc, Olomouc, Czechia
| | - Klara Kostovcikova
- Laboratory of Cellular and Molecular Immunology, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
- *Correspondence: Klara Kostovcikova,
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25
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Xu F, Li H, Pan Y, Zeng Y, Li J, Li S. Effects of Ganfule capsule on microbial and metabolic profiles in anti-hepatocellular carcinoma. J Appl Microbiol 2021; 132:2280-2292. [PMID: 34564943 DOI: 10.1111/jam.15307] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/04/2021] [Accepted: 09/15/2021] [Indexed: 12/16/2022]
Abstract
AIMS Based on the gut microbiota and plasma metabolites, the underlying mechanism was analysed for the anti-hepatocellular carcinoma (HCC) effects of Ganfule capsule (GFL) in the study. METHODS AND RESULTS The UPLC-Q-TOF/MS results showed that 13 key compounds were identified in GFL and the major active ingredients included amygdalin, saikosaponin A, astragaloside I, etc. The nude mice received HepG2 injection, and GFL showed lower volume and weight of the tumour. In addition, the apoptosis proteins (Bax and Bcl2) were altered in response to GFL treatment, and apoptosis cells were increased, indicating an anti-HCC effect. Interestingly, 16S rDNA results showed that GFL treatment improved gut microbiota diversity and compositions, especially for the beneficial bacteria, such as Bacilli, Lactobacillales, Lactobacillus, Lactobacillaceae, Firmicutes, Lactobacillus_reuteri and Lactobacillus_gasseri. Metabonomics further identified 426 metabolites and 343 metabolites variation in the positive and negative ion modes after GFL treatment, which might be associated with amino acid, lipid metabolism and carbohydrate metabolism pathways, indicating these metabolites might involve in the protective role of GFL in HCC. Correlation analysis showed a significant relationship between gut microbiota and plasma metabolites. CONCLUSION In conclusion, GFL exerted an anti-HCC effect in the nude murine model, which might be associated with microbial and metabolic improvements. SIGNIFICANCE AND IMPACT OF THE STUDY This study is the first to report the anti-HCC effect of GFL associated with gut microbiota and plasma metabolites. GFL may improve the gut microbiota structure, such as increasing probiotics - Lactobacillus. It also provides a new strategy for the scientific demonstration of the modernization of traditional Chinese medicine.
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Affiliation(s)
- Fei Xu
- School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Hanyin Li
- School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Yu Pan
- Guangxi Botanical Garden of Medical Plants, Nanning, Guangxi, China
| | - Yangli Zeng
- School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Juan Li
- School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, China
| | - Shunxiang Li
- School of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan, China
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26
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Mwangi FW, Gardiner CP, Walker G, Hall TJ, Malau-Aduli BS, Kinobe RT, Malau-Aduli AEO. Growth Performance and Plasma Metabolites of Grazing Beef Cattle Backgrounded on Buffel or Buffel- Desmanthus Mixed Pastures. Animals (Basel) 2021; 11:ani11082355. [PMID: 34438812 PMCID: PMC8388787 DOI: 10.3390/ani11082355] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/25/2021] [Accepted: 08/06/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Pasture quality and digestibility decline during the dry season resulting in weight loss or marginal weight gains of grazing cattle in the seasonally dry subtropics of northern Australia. Oversowing grass with legume pastures has shown potential to improve pasture quality and cattle weight gain. This study aimed to evaluate the change in steers’ weight gain and plasma metabolites in response to grazing buffel grass pastures oversown with Desmanthus spp. (Desmanthus), a tropical legume adapted to cracking clay soils, compared to buffel-grass-only pastures. Results showed that Desmanthus at a low botanical composition had no effect on weight gain and plasma metabolites, although pasture yield and stocking rate were 443 kg/ha and 9.5% higher, respectively. Since the productivity of grazing systems depends on cattle annual weight gain and stocking rate, the practical implication of this study is that Desmanthus may improve the profitability of beef production in the dry tropics of northern Australia by improving pasture-carrying capacity with no adverse effect on cattle health status and growth performance. Abstract Dietary crude protein and dry matter digestibility are among the major factors limiting feed intake and weight gain of cattle grazing native and improved pastures in the subtropics of Northern Australia during the dry season. Incorporating a suitable legume into grasses improves pasture quality and cattle weight gain, but only a limited number of legume pastures can establish and persist in cracking clay soils. This study aimed to evaluate the effect of Desmanthus inclusion in buffel grass (Cenchrus ciliaris) pastures on the plasma metabolite profile and growth performance of grazing beef cattle during the dry season. We hypothesised that backgrounding steers on buffel grass-Desmanthus mixed pastures would elicit significant changes in plasma glucose, bilirubin, creatinine, non-esterified fatty acids and β-hydroxybutyrate, resulting in higher liveweight gains than in steers on buffel grass only pastures. Four hundred tropical composite steers were assigned to buffel grass only (n = 200) or buffel grass oversown with Desmanthus (11.5% initial sward dry matter) pastures (n = 200) and grazed for 147 days during the dry season. Desmanthus accounted for 6.2% sward dry matter at the end of grazing period. Plasma metabolites results showed that changes in β-hydroxybutyrate, creatinine, bilirubin, glucose and non-esterified fatty acids were within the expected normal range for all the steers, indicating that with or without Desmanthus inclusion in the diet of grazing steers, animal health status was not compromised. It was also evident that Desmanthus inclusion in buffel grass pastures had no impact on the plasma metabolite profile, liveweight and daily weight gain of grazing steers. Therefore, our tested hypothesis of higher changes in plasma metabolite profile and higher liveweight gains due to backgrounding on low-level buffel grass-Desmanthus mixed pastures does not hold.
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Affiliation(s)
- Felista W. Mwangi
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia; (F.W.M.); (C.P.G.); (G.W.); (R.T.K.)
| | - Christopher P. Gardiner
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia; (F.W.M.); (C.P.G.); (G.W.); (R.T.K.)
| | - Glen Walker
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia; (F.W.M.); (C.P.G.); (G.W.); (R.T.K.)
| | - Trevor J. Hall
- Hallmark Rural Consulting, 75 Love Road, Vale View, QLD 4352, Australia;
| | - Bunmi S. Malau-Aduli
- College of Medicine and Dentistry, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia;
| | - Robert T. Kinobe
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia; (F.W.M.); (C.P.G.); (G.W.); (R.T.K.)
| | - Aduli E. O. Malau-Aduli
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia; (F.W.M.); (C.P.G.); (G.W.); (R.T.K.)
- Correspondence: ; Tel.: +61-747-815-339
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Coelho DFM, Alfaia CMRPM, Assunção JMP, Costa M, Pinto RMA, de Andrade Fontes CMG, Lordelo MM, Prates JAM. Impact of dietary Chlorella vulgaris and carbohydrate-active enzymes incorporation on plasma metabolites and liver lipid composition of broilers. BMC Vet Res 2021; 17:229. [PMID: 34187475 PMCID: PMC8243889 DOI: 10.1186/s12917-021-02932-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 06/07/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Chlorella vulgaris has been proposed as a sustainable green feedstock in poultry nutrition due to its ease of cultivation, minimal environmental impact and balanced nutritional composition. However, the majority of studies documents the use of C. vulgaris as a dietary supplement in broilers instead of a feed ingredient. To the best of our knowledge, no report has shown the effect of a high-level incorporation (>2 % in the diet) of C. vulgaris on plasma metabolites and hepatic lipid composition of broilers. One hundred and twenty Ross 308 male birds were housed in 40 wired-floor cages and randomly distributed by the following experimental diets at 22 days of age (n = 10) during 15 days: (1) a corn-soybean meal based diet (control); (2) based diet with 10% of C. vulgaris; (3) diet 2 supplemented with 0.005% Rovabio® Excel AP; and (4) diet 2 supplemented with 0.01% of a pre-selected four-CAZyme mixture. RESULTS The inclusion of C. vulgaris at 10% in the diet, regardless of the presence of exogenous CAZymes, changed plasma metabolites but did not compromise broilers growth. Plasma total lipids increased in broilers fed C. vulgaris combined with the two feed CAZymes (p < 0.001) compared with the control diet. Moreover, the supplementation with Rovabio® increased total cholesterol and LDL-cholesterol, while the addition of the four-CAZyme mixture increased triacylglycerols, VLDL-cholesterol and ALP activity. In opposition, HDL-cholesterol levels decreased in broilers fed microalga alone (p = 0.002). Regarding hepatic composition, the inclusion of C. vulgaris in broiler diets, individually or combined with exogenous CAZymes, had a minor effect on fatty acids but improved the n-6/n-3 ratio and total carotenoids. CONCLUSIONS In summary, the inclusion of a high level (10%) of C. vulgaris in broiler´s diet, regardless of the presence of exogenous CAZymes, improved hepatic antioxidant composition and did not impair broiler's performance. In addition, the feed supplementation with CAZymes increased broilers lipemia. Therefore, dietary C. vulgaris at this incorporation level seems to be safe for animal health and do not compromise performance traits, with no need of CAZymes supplementation.
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Affiliation(s)
- Diogo Francisco Maurício Coelho
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, 1300-477 Lisboa, Portugal
| | | | - José Miguel Pestana Assunção
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, 1300-477 Lisboa, Portugal
| | - Mónica Costa
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, 1300-477 Lisboa, Portugal
| | - Rui Manuel Amaro Pinto
- iMed.UL, Faculdade de Farmácia, Universidade de Lisboa, Avenida Professor Gama Pinto, 1649-003 Lisboa, Portugal
| | | | - Madalena M. Lordelo
- LEAF - Linking Landscape, Environment, Agriculture And Food, Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - José António Mestre Prates
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, 1300-477 Lisboa, Portugal
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Suybeng B, Charmley E, Gardiner CP, Malau-Aduli BS, Malau-Aduli AEO. Plasma Metabolites, Productive Performance and Rumen Volatile Fatty Acid Profiles of Northern Australian Bos indicus Steers Supplemented with Desmanthus and Lucerne. Metabolites 2021; 11:356. [PMID: 34199517 DOI: 10.3390/metabo11060356] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/28/2021] [Accepted: 05/29/2021] [Indexed: 12/23/2022] Open
Abstract
The hypothesis tested was that tropical steers supplemented with the Desmanthus legume and lucerne, a widely characterized temperate legume of high nutritive value, would elicit similar responses in plasma metabolite profiles, productive performance, nitrogen retention, and volatile fatty acids (VFA). The tannin-binding compound, polyethylene glycol-4000 (PEG), was added to the diets (160 g/kg Desmanthus dry matter) with the objective of further exploring nitrogen (N) utilization in the animals supplemented with Desmanthus relative to lucerne. From February to June 2020, sixteen yearling Brangus steers (average liveweight of 232 ± 6 kg) were fed a background diet of Rhodes grass (Chloris gayana) hay for 28 days, before introducing three Desmanthus cultivars (Desmanthus virgatus cv. JCU2, D. bicornutus cv. JCU4, D. leptophyllus cv. JCU7) and lucerne (Medicago sativa) at 30% dry matter intake (DMI). Relative to the backgrounding period, all supplemented steers exhibited similar growth performance. Steers supplemented with Desmanthus recorded a lower DMI and animal growth performance, but higher fecal N concentration than animals supplemented with lucerne. Among the three Desmanthus cultivars, there were no significant differences in N concentrations, VFA, and plasma metabolite profiles. The addition of PEG induced higher rumen iso-acid concentrations and fecal N excretion. However, feeding Desmanthus spp. to tropical Bos indicus steers could be a valuable means of increasing N utilization, which is attributable to the presence of tannins, and, consequently, improve animal productive performance. Since supplementation with lucerne resulted in higher liveweight, daily liveweight gains, and overall animal performance than supplementing with Desmanthus, the tested hypothesis that both supplements will elicit similar animal performance does not hold and must be rejected. Further in vivo investigation is needed to better understand the impact of tannins in Desmanthus on N utilization.
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Soldevilla B, López-López A, Lens-Pardo A, Carretero-Puche C, Lopez-Gonzalvez A, La Salvia A, Gil-Calderon B, Riesco-Martinez MC, Espinosa-Olarte P, Sarmentero J, Rubio-Cuesta B, Rincón R, Barbas C, Garcia-Carbonero R. Comprehensive Plasma Metabolomic Profile of Patients with Advanced Neuroendocrine Tumors (NETs). Diagnostic and Biological Relevance. Cancers (Basel) 2021; 13:2634. [PMID: 34072010 DOI: 10.3390/cancers13112634] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/19/2021] [Accepted: 05/20/2021] [Indexed: 12/30/2022] Open
Abstract
Simple Summary Metabolic flexibility is one of the key hallmarks of cancer and metabolites are the final products of this adaptation, reflecting the aberrant changes of tumors. However, the metabolic plasticity of each cancer type is still unknown, and specifically to date, there are no data on metabolic profile in neuroendocrine tumors. The aim of our retrospective study was to assess the metabolomic profile of NET patients to understand metabolic deregulation in these tumors and identify novel biomarkers with clinical potential. We provided, for the first time, a comprehensive metabolic profile of NET patients and identifies a distinctive metabolic signature in plasma of potential clinical use, selecting a reduced set of metabolites of high diagnostic accuracy. We have identified 32 novel enriched metabolic pathways in NETs related with the TCA cycle, and with arginine, pyruvate or glutathione metabolism, which have distinct implications in oncogenesis and may open innovative avenues of clinical research. Abstract Purpose: High-throughput “-omic” technologies have enabled the detailed analysis of metabolic networks in several cancers, but NETs have not been explored to date. We aim to assess the metabolomic profile of NET patients to understand metabolic deregulation in these tumors and identify novel biomarkers with clinical potential. Methods: Plasma samples from 77 NETs and 68 controls were profiled by GC−MS, CE−MS and LC−MS untargeted metabolomics. OPLS-DA was performed to evaluate metabolomic differences. Related pathways were explored using Metaboanalyst 4.0. Finally, ROC and OPLS-DA analyses were performed to select metabolites with biomarker potential. Results: We identified 155 differential compounds between NETs and controls. We have detected an increase of bile acids, sugars, oxidized lipids and oxidized products from arachidonic acid and a decrease of carnitine levels in NETs. MPA/MSEA identified 32 enriched metabolic pathways in NETs related with the TCA cycle and amino acid metabolism. Finally, OPLS-DA and ROC analysis revealed 48 metabolites with diagnostic potential. Conclusions: This study provides, for the first time, a comprehensive metabolic profile of NET patients and identifies a distinctive metabolic signature in plasma of potential clinical use. A reduced set of metabolites of high diagnostic accuracy has been identified. Additionally, new enriched metabolic pathways annotated may open innovative avenues of clinical research.
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Menzies C, Naz S, Patten D, Alquier T, Bennett BM, Lacoste B. Distinct Basal Metabolism in Three Mouse Models of Neurodevelopmental Disorders. eNeuro 2021; 8:ENEURO. [PMID: 33820803 DOI: 10.1523/ENEURO.0292-20.2021] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 02/27/2021] [Accepted: 03/15/2021] [Indexed: 02/06/2023] Open
Abstract
Prevalence of metabolic disturbances is higher among individuals with neurodevelopmental disorders (NDDs), yet this association has been largely overlooked. Investigation into human disease remains challenging, as a complete pathophysiological understanding relies on accurate modeling and highly controlled variables. Genetically engineered mouse models are widely used to gain insight into the biology of human NDDs, but research focus has been on behavioral and neurophysiological abnormalities. Such models not only allow for evaluating usefulness in reproducing human features, including similarities and discrepancies with rodent phenotypes, but they also represent a unique opportunity to observe and quantify novel anomalies. Here, we present the first characterization and comparison of basal metabolism in three mouse models of NDDs, namely, Down syndrome (DS; Dp(16)Yey/+ mice), 16p11.2 deletion syndrome (16pDel; 16p11.2df/+ mice), and fragile X syndrome [FXS; Fmr1 knock-out (KO) mice] and their wild-type (WT) counterparts. Using the Comprehensive Lab Animal Monitoring System (CLAMS) coupled to EchoMRI, as well as quantification of key plasma metabolites by liquid chromatography mass spectrometry (LC-MS), our in vivo study reveals that each mouse model expresses a unique metabolic signature that is sex-specific, independent of the amount of food consumed and minimally influenced by physical activity. In particular, we identify striking differences in body composition, respiratory exchange ratio (RER), caloric expenditure (CE), and concentrations of circulating plasma metabolites related to mitochondrial function. Providing novel insight into NDD-associated metabolic alterations is an essential prerequisite for future preclinical and clinical interventions.
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Ferrero G, Carpi S, Polini B, Pardini B, Nieri P, Impeduglia A, Grioni S, Tarallo S, Naccarati A. Intake of Natural Compounds and Circulating microRNA Expression Levels: Their Relationship Investigated in Healthy Subjects With Different Dietary Habits. Front Pharmacol 2021; 11:619200. [PMID: 33519486 PMCID: PMC7840481 DOI: 10.3389/fphar.2020.619200] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 11/30/2020] [Indexed: 12/12/2022] Open
Abstract
Diet has a strong influence on many physiological processes, which in turn have important implications on a variety of pathological conditions. In this respect, microRNAs (miRNAs), a class of small non-coding RNAs playing a relevant epigenetic role in controlling gene expression, may represent mediators between the dietary intake and the healthy status. Despite great advances in the field of nutri-epigenomics, it remains unclear how miRNA expression is modulated by the diet and, specifically, the intake of specific nutrients. We investigated the whole circulating miRNome by small RNA-sequencing performed on plasma samples of 120 healthy volunteers with different dietary habits (vegans, vegetarians, and omnivores). Dietary intakes of specific nutrients were estimated for each subject from the information reported in the food-frequency questionnaire previously validated in the EPIC study. We focused hereby on the intake of 23 natural compounds (NCs) of the classes of lipids, micro-elements, and vitamins. We identified 78 significant correlations (rho > 0.300, p-value < 0.05) among the estimated daily intake of 13 NCs and the expression levels of 58 plasma miRNAs. Overall, vitamin D, sodium, and vitamin E correlated with the largest number of miRNAs. All the identified correlations were consistent among the three dietary groups and 22 of them were confirmed as significant (p-value < 0.05) by age-, gender-, and body-mass index-adjusted Generalized Linear regression Model analysis. miR-23a-3p expression levels were related with different NCs including a significant positive correlation with sodium (rho = 0.377) and significant negative correlations with lipid-related NCs and vitamin E. Conversely, the estimated intake of vitamin D was negatively correlated with the expression of the highest number of circulating miRNAs, particularly miR-1277-5p (rho = −0.393) and miR-144-3p (rho = −0.393). Functional analysis of the targets of sodium intake-correlated miRNAs highlighted terms related to cardiac development. A similar approach on targets of those miRNAs correlated with vitamin D intake showed an enrichment in genes involved in hormone metabolisms, while the response to chronic inflammation was among the top enriched processes involving targets of miRNAs negatively related with vitamin E intake. Our findings show that nutrients through the habitual diet influence circulating miRNA profiles and highlight that this aspect must be considered in the nutri-epigenomic research.
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Affiliation(s)
- Giulio Ferrero
- Department of Clinical and Biological Sciences, University of Turin, Torino, Italy.,Department of Computer Science, University of Turin, Torino, Italy
| | - Sara Carpi
- Department of Pharmacy, University of Pisa, Pisa, Italy.,NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Pisa, Italy
| | | | - Barbara Pardini
- Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Torino, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Torino, Italy
| | - Paola Nieri
- Department of Pharmacy, University of Pisa, Pisa, Italy
| | | | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Sonia Tarallo
- Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Torino, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Torino, Italy
| | - Alessio Naccarati
- Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Torino, Italy.,Candiolo Cancer Institute, FPO-IRCCS, Torino, Italy
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Koopen AM, de Clercq NC, Warmbrunn MV, Herrema H, Davids M, de Groot PF, Kootte RS, Bouter KEC, Nieuwdorp M, Groen AK, Prodan A. Plasma Metabolites Related to Peripheral and Hepatic Insulin Sensitivity Are Not Directly Linked to Gut Microbiota Composition. Nutrients 2020; 12:nu12082308. [PMID: 32752028 PMCID: PMC7469041 DOI: 10.3390/nu12082308] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 07/27/2020] [Accepted: 07/28/2020] [Indexed: 12/12/2022] Open
Abstract
Plasma metabolites affect a range of metabolic functions in humans, including insulin sensitivity (IS). A subset of these plasma metabolites is modified by the gut microbiota. To identify potential microbial–metabolite pathways involved in IS, we investigated the link between plasma metabolites, gut microbiota composition, and IS, using the gold-standard for peripheral and hepatic IS measurement in a group of participants with metabolic syndrome (MetSyn). In a cross-sectional study with 115 MetSyn participants, fasting plasma samples were collected for untargeted metabolomics analysis and fecal samples for 16S rRNA gene amplicon sequencing. A two-step hyperinsulinemic euglycemic clamp was performed to assess peripheral and hepatic IS. Collected data were integrated and potential interdependence between metabolites, gut microbiota, and IS was analyzed using machine learning prediction models. Plasma metabolites explained 13.2% and 16.7% of variance in peripheral and hepatic IS, respectively. Fecal microbiota composition explained 4.2% of variance in peripheral IS and was not related to hepatic IS. Although metabolites could partially explain the variances in IS, the top metabolites related to peripheral and hepatic IS did not significantly correlate with gut microbiota composition (both on taxonomical level and alpha-diversity). However, all plasma metabolites could explain 18.5% of the variance in microbial alpha-diversity (Shannon); the top 20 metabolites could even explain 44.5% of gut microbial alpha-diversity. In conclusion, plasma metabolites could partially explain the variance in peripheral and hepatic IS; however, these metabolites were not directly linked to the gut microbiota composition, underscoring the intricate relation between plasma metabolites, the gut microbiota, and IS in MetSyn
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Affiliation(s)
- Annefleur M. Koopen
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
- Correspondence: (A.M.K.); (N.C.d.C.)
| | - Nicolien C. de Clercq
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
- Correspondence: (A.M.K.); (N.C.d.C.)
| | - Moritz V. Warmbrunn
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
| | - Hilde Herrema
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
| | - Mark Davids
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
| | - Pieter F. de Groot
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
| | - Ruud S. Kootte
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
| | - Kristien E. C. Bouter
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
| | - Max Nieuwdorp
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
- Wallenberg Laboratory, University of Gothenburg, Bruna Stråket 16, SE-413 45 Göteborg, Sweden
| | - Albert K. Groen
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
- Department of Laboratory Medicine, University of Groningen, University Medical Center, Grote Kruisstraat 2/1, 9712 CP Groningen, The Netherlands
| | - Andrei Prodan
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (M.V.W.); (H.H.); (M.D.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (M.N.); (A.K.G.); (A.P.)
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Pauzi FA, Sahathevan S, Khor BH, Narayanan SS, Zakaria NF, Abas F, Karupaiah T, Daud ZAM. Exploring Metabolic Signature of Protein Energy Wasting in Hemodialysis Patients. Metabolites 2020; 10:metabo10070291. [PMID: 32708829 PMCID: PMC7408592 DOI: 10.3390/metabo10070291] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 07/07/2020] [Accepted: 07/14/2020] [Indexed: 12/18/2022] Open
Abstract
End-stage renal disease patients undergoing maintenance hemodialysis (HD) are vulnerable to the protein energy wasting (PEW) syndrome. Identification and diagnosis of PEW relies on clinical processes of judgment dependent on fulfilling multiple criteria drawn from serum biochemistry, weight status, predictive muscle mass, dietary energy and protein intakes. Therefore, we sought to explore the biomarkers’ signature with plasma metabolites of PEW by using 1H-nuclear magnetic resonance for an untargeted metabolomics approach in the HD population, to understand metabolic alteration of PEW. In this case-controlled study, a total of 53 patients undergoing chronic HD were identified having PEW based on established diagnostic criteria and were age- and sex-matched with non-PEW (n = 53) HD patients. Fasting predialysis plasma samples were analyzed. Partial least square discriminant analysis demonstrated a significant separation between groups for specific metabolic pattern alterations. Further quantitative analysis showed that the level of 3-hydroxybutyrate, acetate, arabinose, maltose, ribose, sucrose and tartrate were significantly increased whilst creatinine was significantly decreased (all p < 0.05) in PEW subjects. Pathway analysis indicated that PEW-related metabolites reflected perturbations in fatty acid mechanism and induction of glyoxylate and dicarboxylate pathway attributed to gluconeogenesis. These results provide preliminary data in understanding metabolic alteration of PEW and corresponding abnormal metabolites that could potentially serve as biomarkers of PEW.
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Affiliation(s)
- Fatin Athirah Pauzi
- Department of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia;
| | - Sharmela Sahathevan
- Dietetics Program, School of Healthcare Sciences, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur 50300, Malaysia;
| | - Ban-Hock Khor
- Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras 56000, Wilayah Persekutuan Kuala Lumpur, Malaysia;
| | | | - Nor Fadhlina Zakaria
- Department of Medicine, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia;
| | - Faridah Abas
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, Serdang 43400, Malaysia;
| | - Tilakavati Karupaiah
- School of BioScience, Taylor’s University, Subang Jaya 47500, Malaysia; (S.S.N.); (T.K.)
| | - Zulfitri Azuan Mat Daud
- Department of Dietetics, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang 43400, Malaysia;
- Correspondence:
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Broughton-Neiswanger LE, Rivera-Velez SM, Suarez MA, Slovak JE, Hwang JK, Villarino NF. Pharmacometabolomics with a combination of PLS-DA and random forest algorithm analyses reveal meloxicam alters feline plasma metabolite profiles. J Vet Pharmacol Ther 2020; 43:591-601. [PMID: 32562314 DOI: 10.1111/jvp.12884] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/14/2020] [Accepted: 05/17/2020] [Indexed: 01/17/2023]
Abstract
Repeated administration of meloxicam to cats is often limited by the potential damage to multiple organ systems. Identifying molecules that predict the adverse effects of meloxicam would help to monitor and individualize its administration, maximizing meloxicam's beneficial effects. The objectives of this study were to (a) determine if the repeated administration of meloxicam to cats alters the plasma metabolome and (b) identify plasma metabolites that may serve to monitor during the administration of meloxicam in cats. Purpose bred young adult cats (n = 12) were treated with meloxicam at 0.3 mg/kg or saline subcutaneously once daily for up to 17 days. An untargeted metabolomics approach was applied to plasma samples collected prior to and at designated time points after meloxicam or saline administration. To refine the discovery of biomarkers, the machine-learning algorithms, partial least squares discriminant analysis (PLS-DA) and random forest (RF), were trained and validated using a separate unrelated group of meloxicam- and saline-treated cats (n = 8). A total of 74 metabolites were included in the statistical analysis. Metabolomic analysis shows that the repeated administration of meloxicam alters multiple substances in plasma, including nonvolatile organic acids, aromatic amino acids, monosaccharides, and inorganic compounds as early as four days following administration of meloxicam. Seventeen plasma molecules were able to distinguish meloxicam-treated from saline-treated cats. The metabolomic changes discovered in this study may help to unveil unknown mechanisms of NSAID-induced side effects. In addition, some metabolites could be valuable for individualizing the administration of meloxicam to cats to mitigate adverse effects.
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Affiliation(s)
- Liam E Broughton-Neiswanger
- Program in Individualized Medicine, Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, USA
| | - Sol M Rivera-Velez
- Molecular Determinants Core, Johns Hopkins All Children's Hospital, Saint Petersburg, FL, USA
| | - Martin A Suarez
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, USA
| | | | - Julianne K Hwang
- Program in Individualized Medicine, Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, USA
| | - Nicolas F Villarino
- Program in Individualized Medicine, Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, USA
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Geijsen AJ, van Roekel EH, van Duijnhoven FJ, Achaintre D, Bachleitner‐Hofmann T, Baierl A, Bergmann MM, Boehm J, Bours MJ, Brenner H, Breukink SO, Brezina S, Chang‐Claude J, Herpel E, de Wilt JH, Gicquiau A, Gigic B, Gumpenberger T, Hansson BM, Hoffmeister M, Holowatyj AN, Karner‐Hanusch J, Keski‐Rahkonen P, Keulen ET, Koole JL, Leeb G, Ose J, Schirmacher P, Schneider MA, Schrotz‐King P, Stift A, Ulvik A, Vogelaar FJ, Wesselink E, van Zutphen M, Gsur A, Habermann N, Kampman E, Scalbert A, Ueland PM, Ulrich AB, Ulrich CM, Weijenberg MP, Kok DE. Plasma metabolites associated with colorectal cancer stage: Findings from an international consortium. Int J Cancer 2020; 146:3256-3266. [PMID: 31495913 PMCID: PMC7216900 DOI: 10.1002/ijc.32666] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 07/06/2019] [Accepted: 07/26/2019] [Indexed: 12/12/2022]
Abstract
Colorectal cancer is the second most common cause of cancer-related death globally, with marked differences in prognosis by disease stage at diagnosis. We studied circulating metabolites in relation to disease stage to improve the understanding of metabolic pathways related to colorectal cancer progression. We investigated plasma concentrations of 130 metabolites among 744 Stages I-IV colorectal cancer patients from ongoing cohort studies. Plasma samples, collected at diagnosis, were analyzed with liquid chromatography-mass spectrometry using the Biocrates AbsoluteIDQ™ p180 kit. We assessed associations between metabolite concentrations and stage using multinomial and multivariable logistic regression models. Analyses were adjusted for potential confounders as well as multiple testing using false discovery rate (FDR) correction. Patients presented with 23, 28, 39 and 10% of Stages I-IV disease, respectively. Concentrations of sphingomyelin C26:0 were lower in Stage III patients compared to Stage I patients (pFDR < 0.05). Concentrations of sphingomyelin C18:0 and phosphatidylcholine (diacyl) C32:0 were statistically significantly higher, while citrulline, histidine, phosphatidylcholine (diacyl) C34:4, phosphatidylcholine (acyl-alkyl) C40:1 and lysophosphatidylcholines (acyl) C16:0 and C17:0 concentrations were lower in Stage IV compared to Stage I patients (pFDR < 0.05). Our results suggest that metabolic pathways involving among others citrulline and histidine, implicated previously in colorectal cancer development, may also be linked to colorectal cancer progression.
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Affiliation(s)
- Anne J.M.R. Geijsen
- Division of Human Nutrition and HealthWageningen University & ResearchWageningenThe Netherlands
| | - Eline H. van Roekel
- Department of Epidemiology, GROW School for Oncology and Developmental BiologyMaastricht UniversityMaastrichtThe Netherlands
| | | | - David Achaintre
- Biomarkers GroupInternational Agency for Research on CancerLyonFrance
| | | | - Andreas Baierl
- Department of Statistics and Operations ResearchUniversity of ViennaViennaAustria
| | | | - Jürgen Boehm
- Huntsman Cancer InstituteSalt Lake CityUT
- Department of Population Health SciencesUniversity of UtahSalt Lake CityUT
| | - Martijn J.L. Bours
- Department of Epidemiology, GROW School for Oncology and Developmental BiologyMaastricht UniversityMaastrichtThe Netherlands
| | - Hermann Brenner
- Division of Preventive OncologyNational Center for Tumor Diseases and German Cancer Research CenterHeidelbergGermany
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center (DKFZ)HeidelbergGermany
- German Cancer Consortium (DKTK)German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Stéphanie O. Breukink
- Department of Surgery, GROW School for Oncology and Development BiologyMaastricht UniversityMaastrichtThe Netherlands
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine IMedical University of ViennaViennaAustria
| | - Jenny Chang‐Claude
- Division of Cancer EpidemiologyGerman Cancer Research CenterHeidelbergGermany
| | - Esther Herpel
- Institute of PathologyUniversity of HeidelbergHeidelbergGermany
| | - Johannes H.W. de Wilt
- Department of Surgery, Division of Surgical Oncology and Gastrointestinal SurgeryRadboud University Medical CenterNijmegenThe Netherlands
| | - Audrey Gicquiau
- Biomarkers GroupInternational Agency for Research on CancerLyonFrance
| | - Biljana Gigic
- Department of General, Visceral and Transplantation SurgeryUniversity of HeidelbergHeidelbergGermany
| | - Tanja Gumpenberger
- Institute of Cancer Research, Department of Medicine IMedical University of ViennaViennaAustria
| | - Bibi M.E. Hansson
- Department of SurgeryCanisius‐Wilhelmina HospitalNijmegenThe Netherlands
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center (DKFZ)HeidelbergGermany
| | - Andreana N. Holowatyj
- Huntsman Cancer InstituteSalt Lake CityUT
- Department of Population Health SciencesUniversity of UtahSalt Lake CityUT
| | | | | | - Eric T.P. Keulen
- Department of Internal Medicine and GastroenterologyZuyderland Medical CenterSittardThe Netherlands
| | - Janna L. Koole
- Department of Epidemiology, GROW School for Oncology and Developmental BiologyMaastricht UniversityMaastrichtThe Netherlands
| | | | - Jennifer Ose
- Huntsman Cancer InstituteSalt Lake CityUT
- Department of Population Health SciencesUniversity of UtahSalt Lake CityUT
| | | | - Martin A. Schneider
- Department of General, Visceral and Transplantation SurgeryUniversity of HeidelbergHeidelbergGermany
| | - Petra Schrotz‐King
- Division of Preventive OncologyNational Center for Tumor Diseases and German Cancer Research CenterHeidelbergGermany
| | - Anton Stift
- Department of SurgeryMedical University ViennaViennaAustria
| | | | | | - Evertine Wesselink
- Division of Human Nutrition and HealthWageningen University & ResearchWageningenThe Netherlands
| | - Moniek van Zutphen
- Division of Human Nutrition and HealthWageningen University & ResearchWageningenThe Netherlands
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine IMedical University of ViennaViennaAustria
| | - Nina Habermann
- Division of Preventive OncologyNational Center for Tumor Diseases and German Cancer Research CenterHeidelbergGermany
- Genome BiologyEuropean Molecular Biology Laboratory (EMBL)HeidelbergGermany
| | - Ellen Kampman
- Division of Human Nutrition and HealthWageningen University & ResearchWageningenThe Netherlands
| | - Augustin Scalbert
- Biomarkers GroupInternational Agency for Research on CancerLyonFrance
| | | | - Alexis B. Ulrich
- Department of General, Visceral and Transplantation SurgeryUniversity of HeidelbergHeidelbergGermany
| | - Cornelia M. Ulrich
- Huntsman Cancer InstituteSalt Lake CityUT
- Department of Population Health SciencesUniversity of UtahSalt Lake CityUT
| | - Matty P. Weijenberg
- Department of Epidemiology, GROW School for Oncology and Developmental BiologyMaastricht UniversityMaastrichtThe Netherlands
| | - Dieuwertje E. Kok
- Division of Human Nutrition and HealthWageningen University & ResearchWageningenThe Netherlands
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Hartstra AV, de Groot PF, Mendes Bastos D, Levin E, Serlie MJ, Soeters MR, Pekmez CT, Dragsted LO, Ackermans MT, Groen AK, Nieuwdorp M. Correlation of plasma metabolites with glucose and lipid fluxes in human insulin resistance. Obes Sci Pract 2020; 6:340-349. [PMID: 32523723 PMCID: PMC7278901 DOI: 10.1002/osp4.402] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2019] [Revised: 01/04/2020] [Accepted: 01/07/2020] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Insulin resistance develops prior to the onset of overt type 2 diabetes, making its early detection vital. Direct accurate evaluation is currently only possible with complex examinations like the stable isotope-based hyperinsulinemic euglycemic clamp (HIEC). Metabolomic profiling enables the detection of thousands of plasma metabolites, providing a tool to identify novel biomarkers in human obesity. DESIGN Liquid chromatography mass spectrometry-based untargeted plasma metabolomics was applied in 60 participants with obesity with a large range of peripheral insulin sensitivity as determined via a two-step HIEC with stable isotopes [6,6-2H2]glucose and [1,1,2,3,3-2H5]glycerol. This additionally enabled measuring insulin-regulated lipolysis, which combined with metabolomics, to the knowledge of this research group, has not been reported on before. RESULTS Several plasma metabolites were identified that significantly correlated with glucose and lipid fluxes, led by plasma (gamma-glutamyl)citrulline, followed by betaine, beta-cryptoxanthin, fructosyllysine, octanylcarnitine, sphingomyelin (d18:0/18:0, d19:0/17:0) and thyroxine. Subsequent machine learning analysis showed that a panel of these metabolites derived from a number of metabolic pathways may be used to predict insulin resistance, dominated by non-essential amino acid citrulline and its metabolite gamma-glutamylcitrulline. CONCLUSION This approach revealed a number of plasma metabolites that correlated reasonably well with glycemic and lipolytic flux parameters, measured using gold standard techniques. These metabolites may be used to predict the rate of glucose disposal in humans with obesity to a similar extend as HOMA, thus providing potential novel biomarkers for insulin resistance.
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Affiliation(s)
- Annick V. Hartstra
- Department of Internal and Vascular MedicineAmsterdam University Medical CentersAmsterdamthe Netherlands
| | - Pieter F. de Groot
- Department of Internal and Vascular MedicineAmsterdam University Medical CentersAmsterdamthe Netherlands
| | - Diogo Mendes Bastos
- Department of Internal and Vascular MedicineAmsterdam University Medical CentersAmsterdamthe Netherlands
| | - Evgeni Levin
- Department of Internal and Vascular MedicineAmsterdam University Medical CentersAmsterdamthe Netherlands
| | - Mireille J. Serlie
- Department of Endocrinology and MetabolismAmsterdam University Medical CentersAmsterdamthe Netherlands
| | - Maarten R. Soeters
- Department of Endocrinology and MetabolismAmsterdam University Medical CentersAmsterdamthe Netherlands
| | - Ceyda T. Pekmez
- Department of Nutrition, Exercise and SportsUniversity of CopenhagenCopenhagenDenmark
| | - Lars O. Dragsted
- Department of Nutrition, Exercise and SportsUniversity of CopenhagenCopenhagenDenmark
| | - Mariette T. Ackermans
- Endocrine Laboratory, Department of Clinical ChemistryAmsterdam University Medical CentersAmsterdamthe Netherlands
| | - Albert K. Groen
- Department of Internal and Vascular MedicineAmsterdam University Medical CentersAmsterdamthe Netherlands
- Department of Laboratory Medicine, University of GroningenUniversity Medical CenterGroningenthe Netherlands
| | - Max Nieuwdorp
- Department of Internal and Vascular MedicineAmsterdam University Medical CentersAmsterdamthe Netherlands
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Mohammadigheisar M, Shouldice VL, Torrey S, Widowski T, Kiarie EG. Research Note: Comparative gastrointestinal, tibia, and plasma attributes in 48-day-old fast- and slow-growing broiler chicken strains. Poult Sci 2020; 99:3086-3091. [PMID: 32475445 PMCID: PMC7597737 DOI: 10.1016/j.psj.2020.01.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 01/15/2020] [Accepted: 01/29/2020] [Indexed: 11/02/2022] Open
Abstract
Emerging market differentiation for broiler meat from strains exhibiting a range of growth rates is necessitating comparative research on various physiological and production aspects of these strains. The objective of the present study was to compare select gastrointestinal, tibial, and plasma attributes in a sample of 48-day-old (50 male and 50 female) broilers obtained from fast-and slow-growing flocks maintained under similar feed and management regimens. Eight birds were randomly selected from a fast (B; representative of modern commercial strains) and each of the 4 slow-growing strains (SG; D, H, M, and E). The strains differed by estimated time to reach 2.2 kg bodyweight corresponding to 36, 50, 42, 44, and 50 D for B, D, H, M, and E, respectively. Blood samples were collected to determine plasma metabolites, and birds were subsequently euthanized, weighed, and necropsied for gizzard and small intestine weight, jejunal tissue for histomorphology, ceca digesta samples for concentration of short-chain fatty acids (SCFA) and left tibia for ash content. Gizzard was heavier (P < 0.01) for D, H, and M than that for B and E, whereas the small intestine was lighter (P < 0.01) for B, D, and H than for M and E. There were no (P > 0.05) strain differences on SCFA, jejunal villus height and crypt depth, plasma proteins, and electrolytes. Strains D, H, and M exhibited higher (P = 0.01) tibia ash concentration than B; E was intermediate and not different (P > 0.05) from any strain. Specifically, the tibia ash for B, D, H, SG 3, and E were 1.24, 1.44, 1.43, 1.49, and 1.39 g/kg BW, respectively. The B birds showed higher (P < 0.01) plasma concentrations of aspartate transaminase, creatine kinase, lactate dehydrogenase, and creatinine than SG strains. In conclusion, although B and some SG strains had lighter gastrointestinal tract indicative of energy efficiency, higher circulating plasma enzymes in B birds suggested impaired hepatic function. Moreover, lower tibia ash in B suggested disproportionate body mass relative to skeletal support.
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Affiliation(s)
| | - Victoria L Shouldice
- Department of Animal Biosciences, University of Guelph, Guelph N1G2W1, ON, Canada
| | - Stephanie Torrey
- Department of Animal Biosciences, University of Guelph, Guelph N1G2W1, ON, Canada
| | - Tina Widowski
- Department of Animal Biosciences, University of Guelph, Guelph N1G2W1, ON, Canada
| | - Elijah G Kiarie
- Department of Animal Biosciences, University of Guelph, Guelph N1G2W1, ON, Canada.
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Maharjan P, Hilton K, Weil J, Suesuttajit N, Beitia A, Owens CM, Coon C. Characterizing Woody Breast Myopathy in a Meat Broiler Line by Heat Production, Microbiota, and Plasma Metabolites. Front Vet Sci 2020; 6:497. [PMID: 32118050 PMCID: PMC7015036 DOI: 10.3389/fvets.2019.00497] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Accepted: 12/17/2019] [Indexed: 11/25/2022] Open
Abstract
Selection for quantitative traits in meat broilers such as breast yield and growth rate exert physiological pressure leading to ante mortem histological and biochemical alterations in muscle tissues. The poultry industry has recently witnessed a myopathy condition affecting Pectoralis major (breast muscle) of broilers, called woody breast (WB), an etiology still unclear to scientific community. A study was conducted to characterize the WB myopathy in a meat broiler line at its finishing phase (d 41) in terms of heat production (HP), microbiota and plasma metabolites. Two treatment groups were studied-WB affected (myopathy) and normal (non-myopathy) broiler; n = 20 in each group. Indirect calorimetry was utilized for HP measurement. Furthermore, body composition (BC) analysis was also performed using dual-energy x-ray absorptiometry (DEXA). Microbiota in ileal digesta was studied with PCR amplified 16s rRNA gene. LC-MS targeted metabolomics was performed to understand differential expression of plasma metabolites. Results showed that there was difference in fasting HP (P < 0.05) between these two treatment groups, with non-myopathy broiler producing more heat which was indicative of higher body protein content validated by higher protein: fat ratio by BC results. Less protein content in myopathy bird could be due to probable higher mixed muscle degradation occurring in lean tissue as marked by elevated 3-methylhistidine expression in plasma. Microbiota results showed unclassified Lactobacillus as predominant genus with higher abundance occurring in myopathy group; whereas at species level, L. acidipiscis was predominant bacteria for non-myopathy broiler. Differentially significant metabolites (P < 0.05) identified from plasma metabolome between these two treatment groups were homocysteine, cyclic GMP, trimethylamine N-oxide (TMAO), tyramine, carnitine, and acetylcarnitine, which were all associated to cardiovascular system. The findings suggest that more research in meat broilers could be opted toward delivering reduced vascularity issues to alleviate this myopathy condition.
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Affiliation(s)
- Pramir Maharjan
- Department of Poultry Science, Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR, United States
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Lobón S, Joy M, Casasús I, Rufino-Moya PJ, Blanco M. Field Pea can be Included in Fattening Concentrate without Deleterious Effects on the Digestibility and Performance of Lambs. Animals (Basel) 2020; 10:ani10020243. [PMID: 32033031 PMCID: PMC7070329 DOI: 10.3390/ani10020243] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 01/28/2020] [Accepted: 01/30/2020] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The partial substitution of soybean by field pea (Pisum sativum), a local source of protein, has been encouraged to reduce the dependency of Europe on soybean imports. However, only up to 15% of field pea inclusion in the fattening concentrate of light lambs is recommended. The aim of this study was to evaluate the outcomes of the inclusion of field pea in the fattening concentrate on the apparent digestibility, nitrogen balance, animal performance and carcass characteristics of lambs. For that, four isoenergetic and isoproteic concentrates with different proportions of field pea (0%, 10%, 20% and 30%) were compared. The main results were that the in vivo apparent digestibility of the nutrients and retained nitrogen were not affected by field pea inclusion. The performance traits were similar among concentrates, but carcass weight and dressing percentage changed cubically with the inclusion of field pea. Therefore, inclusion of field pea in fattening concentrates above current recommendations could be advisable depending on the prices and availability of the feedstuffs. Abstract The inclusion of different proportions of field pea (0%, 10%, 20% and 30%) for partially replacing soybean in the fattening concentrate of lambs was studied for its impact on apparent digestibility and performance during fattening. In the in vivo digestibility trial, 12 lambs (33 kg body weight) were placed in metabolic crates for two periods and received restricted amounts of concentrate and straw. The performance trial involved 54 lambs (13.4 kg body weight) that received concentrate plus straw ad libitum from weaning to slaughter. The intake of crude protein was higher in the 0% pea group than in the other groups (p < 0.05). The inclusion of field pea did not affect the digestibility, N retained or blood metabolites. In the performance trial, most traits were not affected, although a cubic effect of field pea inclusion on hot carcass weight and dressing percentage was observed (p < 0.05). The inclusion of field pea did not affect total protein, urea or β-hydroxybutyrate concentrations but it affected creatinine and cholesterol concentrations (p < 0.05). In conclusion, field pea can constitute up to 30% of the fattening concentrate of lambs without deleterious effects on the digestibility and performance during fattening, and with minor effects on carcass characteristics.
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Nabi G, Hao Y, Liu X, Sun Y, Wang Y, Jiang C, Li J, Wu Y, Li D. Hypothalamic-Pituitary-Thyroid Axis Crosstalk With the Hypothalamic-Pituitary-Gonadal Axis and Metabolic Regulation in the Eurasian Tree Sparrow During Mating and Non-mating Periods. Front Endocrinol (Lausanne) 2020; 11:303. [PMID: 32547486 PMCID: PMC7272604 DOI: 10.3389/fendo.2020.00303] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 04/21/2020] [Indexed: 12/13/2022] Open
Abstract
Reproduction is an energetically costly phenomenon. Therefore, to optimize reproductive success, male birds invest enough energetic resources for maintaining well-developed testes. The hypothalamic-pituitary-thyroid (HPT) axis in birds can crosstalk with the hypothalamic-pituitary-gonadal (HPG) axis, thus orchestrating both the reproduction and metabolism. However, until now, how the free-living birds timely optimize both the energy metabolism and reproduction via HPT-axis is not understood. To uncover this physiological mechanism, we investigated the relationships among body mass, testis size, plasma hormones including thyroid-stimulating hormone (TSH), thyroxine (T4), triiodothyronine (T3), metabolites including glucose (Glu), triglyceride (TG), total cholesterol (TC), uric acid (UA), diencephalon mRNA expressions of type 2 (Dio2) and 3 (Dio3) iodothyronine deiodinase enzymes, thyrotropin-releasing hormone (TRH), thyroid-stimulating hormone (TSH), gonadotropin-releasing hormone I (GnRH-I), and gonadotropin-inhibitory hormone (GnIH) in a male Eurasian tree sparrow (ETS, Passer montanus). We found significantly larger testis size; elevated diencephalon Dio2 and TRH mRNA expressions, plasma T3, and UA levels; and significantly lowered Glu, TG, and TC levels during mating relative to the non-mating stages in male ETSs. However, Dio3, TSH, GnRH-I, and GnIH mRNA expression did not vary with the stage. Furthermore, life-history stage dependent variation in plasma T3 had both direct effects on the available energy substrates and indirect effects on body mass and testis size, indicating a complex regulation of metabolic pathways through the HPT- and HPG-axes. The identified differences and relationships in mRNA expression, plasma T3 and metabolites, and testis size in male ETSs contribute to our understanding how free-living birds adjust their molecular, endocrinal, and biochemical features to orchestrate their reproductive physiology and metabolism for the maintenance of well-developed testes.
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Affiliation(s)
- Ghulam Nabi
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Yinchao Hao
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- Functional Laboratory, Experimental Center for Teaching, Hebei Medical University, Shijiazhuang, China
| | - Xuelu Liu
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Yanfeng Sun
- Ocean College, Hebei Agricultural University, Qinhuangdao, China
| | - Yang Wang
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Chuan Jiang
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Juyong Li
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Yuefeng Wu
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
| | - Dongming Li
- Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China
- *Correspondence: Dongming Li
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van Baar ACG, Prodan A, Wahlgren CD, Poulsen SS, Knop FK, Groen AK, Bergman JJ, Nieuwdorp M, Levin E. Duodenal L cell density correlates with features of metabolic syndrome and plasma metabolites. Endocr Connect 2018; 7:673-680. [PMID: 29669802 PMCID: PMC5952241 DOI: 10.1530/ec-18-0094] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 04/18/2018] [Indexed: 12/28/2022]
Abstract
BACKGROUND Enteroendocrine cells are essential for the regulation of glucose metabolism, but it is unknown whether they are associated with clinical features of metabolic syndrome (MetS) and fasting plasma metabolites. OBJECTIVE We aimed to identify fasting plasma metabolites that associate with duodenal L cell, K cell and delta cell densities in subjects with MetS with ranging levels of insulin resistance. RESEARCH DESIGN AND METHODS In this cross-sectional study, we evaluated L, K and delta cell density in duodenal biopsies from treatment-naïve males with MetS using machine-learning methodology. RESULTS We identified specific clinical biomarkers and plasma metabolites associated with L cell and delta cell density. L cell density was associated with increased plasma metabolite levels including symmetrical dimethylarginine, 3-aminoisobutyric acid, kynurenine and glycine. In turn, these L cell-linked fasting plasma metabolites correlated with clinical features of MetS. CONCLUSIONS Our results indicate a link between duodenal L cells, plasma metabolites and clinical characteristics of MetS. We conclude that duodenal L cells associate with plasma metabolites that have been implicated in human glucose metabolism homeostasis. Disentangling the causal relation between L cells and these metabolites might help to improve the (small intestinal-driven) pathophysiology behind insulin resistance in human obesity.
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Affiliation(s)
- Annieke C G van Baar
- Department of Gastroenterology and HepatologyAcademic Medical Center, Amsterdam, the Netherlands
| | - Andrei Prodan
- Department of Vascular MedicineAcademic Medical Center, Amsterdam, the Netherlands
| | - Camilla D Wahlgren
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Steen S Poulsen
- Department of Biomedical SciencesFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic ResearchFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Filip K Knop
- Center for Diabetes ResearchGentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic ResearchFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical MedicineFaculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Albert K Groen
- Department of Vascular MedicineAcademic Medical Center, Amsterdam, the Netherlands
- Department of Laboratory MedicineUniversity of Groningen, University Medical Center, Groningen, the Netherlands
| | - Jacques J Bergman
- Department of Gastroenterology and HepatologyAcademic Medical Center, Amsterdam, the Netherlands
| | - Max Nieuwdorp
- Department of Vascular MedicineAcademic Medical Center, Amsterdam, the Netherlands
- Department of Internal MedicineVUMC Free University, Amsterdam, the Netherlands
- Wallenberg LaboratorySahlgrenska Hospital, University of Gothenburg, Gothenburg, Sweden
| | - Evgeni Levin
- Department of Vascular MedicineAcademic Medical Center, Amsterdam, the Netherlands
- Horaizon BVDelft, the Netherlands
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Madeira MS, Rolo EA, Lopes PA, Ramos DA, Alfaia CM, Pires VM, Martins SV, Pinto RM, Prates JA. Betaine and arginine supplementation of low protein diets improves plasma lipids but does not affect hepatic fatty acid composition and related gene expression profiling in pigs. J Sci Food Agric 2018; 98:598-608. [PMID: 28664986 DOI: 10.1002/jsfa.8504] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2016] [Revised: 06/20/2017] [Accepted: 06/20/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND The individual and combined effects of betaine and arginine supplemented to reduced protein diets were investigated on plasma metabolites, hepatic fatty acid composition and mRNA levels of lipid-sensitive factors in commercial pigs. Betaine has previously been shown to reduce carcass fat deposition and arginine improves meat quality of finishing pigs. Forty male crossbred pigs were randomly assigned to one of five diets (n = 8): 160 g kg-1 of crude protein (NPD), 130 g kg-1 of crude protein (RPD), RPD with 3.3 g kg-1 of betaine, RPD with 15 g kg-1 of arginine, and RPD with 3.3 g kg-1 of betaine and 15 g kg-1 of arginine. RESULTS The restriction of dietary protein increased total lipids (P < 0.001), total cholesterol (P < 0.001), high-density lipoprotein-cholesterol (P < 0.001) and low-density lipoprotein cholesterol (P < 0.001). Betaine and arginine, individually or combined, reduced the majority of plasma lipids (P < 0.05) without affecting total fatty acids in the liver and the overall gene expression pattern. CONCLUSION These findings suggest a positive effect of betaine and arginine, singly or combined, by reversing plasma lipids increase promoted by dietary protein restriction. © 2017 Society of Chemical Industry.
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Affiliation(s)
- Marta S Madeira
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
| | - Eva A Rolo
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
| | - Paula A Lopes
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
| | - Denis A Ramos
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
| | - Cristina M Alfaia
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
| | - Virgínia Mr Pires
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
| | - Susana V Martins
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
| | - Rui Ma Pinto
- iMed.UL, Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal
| | - José Am Prates
- CIISA, Faculdade de Medicina Veterinária, Universidade de Lisboa, Lisbon, Portugal
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Kootte RS, Levin E, Salojärvi J, Smits LP, Hartstra AV, Udayappan SD, Hermes G, Bouter KE, Koopen AM, Holst JJ, Knop FK, Blaak EE, Zhao J, Smidt H, Harms AC, Hankemeijer T, Bergman JJGHM, Romijn HA, Schaap FG, Olde Damink SWM, Ackermans MT, Dallinga-Thie GM, Zoetendal E, de Vos WM, Serlie MJ, Stroes ESG, Groen AK, Nieuwdorp M. Improvement of Insulin Sensitivity after Lean Donor Feces in Metabolic Syndrome Is Driven by Baseline Intestinal Microbiota Composition. Cell Metab 2017; 26:611-619.e6. [PMID: 28978426 DOI: 10.1016/j.cmet.2017.09.008] [Citation(s) in RCA: 577] [Impact Index Per Article: 82.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Revised: 07/15/2017] [Accepted: 09/14/2017] [Indexed: 12/29/2022]
Abstract
The intestinal microbiota has been implicated in insulin resistance, although evidence regarding causality in humans is scarce. We therefore studied the effect of lean donor (allogenic) versus own (autologous) fecal microbiota transplantation (FMT) to male recipients with the metabolic syndrome. Whereas we did not observe metabolic changes at 18 weeks after FMT, insulin sensitivity at 6 weeks after allogenic FMT was significantly improved, accompanied by altered microbiota composition. We also observed changes in plasma metabolites such as γ-aminobutyric acid and show that metabolic response upon allogenic FMT (defined as improved insulin sensitivity 6 weeks after FMT) is dependent on decreased fecal microbial diversity at baseline. In conclusion, the beneficial effects of lean donor FMT on glucose metabolism are associated with changes in intestinal microbiota and plasma metabolites and can be predicted based on baseline fecal microbiota composition.
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Affiliation(s)
- Ruud S Kootte
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands; Top Institute of Food and Nutrition, 6700 AN Wageningen, the Netherlands
| | - Evgeni Levin
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands; Horaizon BV, 3062 ME Rotterdam, the Netherlands
| | - Jarkko Salojärvi
- Department of Biosciences, University of Helsinki, 00014 Helsinki, Finland
| | - Loek P Smits
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Annick V Hartstra
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Shanti D Udayappan
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Gerben Hermes
- Top Institute of Food and Nutrition, 6700 AN Wageningen, the Netherlands; Laboratory of Microbiology, Wageningen University, 6703 HB Wageningen, the Netherlands
| | - Kristien E Bouter
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Annefleur M Koopen
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Jens J Holst
- NNF Center for Basic Metabolic Research, Department of Biomedical Sciences, the Panum Institute, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Filip K Knop
- Center for Diabetes Research, Gentofte Hospital, University of Copenhagen, 2900 Hellerup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ellen E Blaak
- Top Institute of Food and Nutrition, 6700 AN Wageningen, the Netherlands; Department of Human Biology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, 6229 ER Maastricht, the Netherlands
| | - Jing Zhao
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Hauke Smidt
- Top Institute of Food and Nutrition, 6700 AN Wageningen, the Netherlands; Laboratory of Microbiology, Wageningen University, 6703 HB Wageningen, the Netherlands
| | - Amy C Harms
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Thomas Hankemeijer
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Jacques J G H M Bergman
- Department of Gastroenterology and Hepatology, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Hans A Romijn
- Department of Internal Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Frank G Schaap
- Department of Surgery, Maastricht University Medical Center, 6229 ER Maastricht, the Netherlands
| | - Steven W M Olde Damink
- Department of Surgery, Maastricht University Medical Center, 6229 ER Maastricht, the Netherlands
| | - Mariette T Ackermans
- Department of Clinical Chemistry, Laboratory of Endocrinology, Academic Medical Center, 1105 AZ Amsterdam, the Netherlands
| | - Geesje M Dallinga-Thie
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Erwin Zoetendal
- Top Institute of Food and Nutrition, 6700 AN Wageningen, the Netherlands; Laboratory of Microbiology, Wageningen University, 6703 HB Wageningen, the Netherlands
| | - Willem M de Vos
- Laboratory of Microbiology, Wageningen University, 6703 HB Wageningen, the Netherlands; Immunobiology Research Program, Department of Bacteriology and Immunology, University of Helsinki, 00014 Helsinki, Finland
| | - Mireille J Serlie
- Department of Endocrinology and Metabolism, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Erik S G Stroes
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands
| | - Albert K Groen
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands; Top Institute of Food and Nutrition, 6700 AN Wageningen, the Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, the Netherlands; Top Institute of Food and Nutrition, 6700 AN Wageningen, the Netherlands; Department of Internal Medicine, VUMC, Free University, Amsterdam, the Netherlands; Wallenberg Laboratory, Sahlgrenska Hospital, University of Gothenburg, Gothenburg, Sweden.
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Nguyen DV, Le VH, Nguyen QV, Malau-Aduli BS, Nichols PD, Malau-Aduli AEO. Omega-3 Long-Chain Fatty Acids in the Heart, Kidney, Liver and Plasma Metabolite Profiles of Australian Prime Lambs Supplemented with Pelleted Canola and Flaxseed Oils. Nutrients 2017; 9:E893. [PMID: 28817082 PMCID: PMC5579686 DOI: 10.3390/nu9080893] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 07/30/2017] [Accepted: 08/14/2017] [Indexed: 11/17/2022] Open
Abstract
The objective of the study was to ascertain whether human health beneficial omega-3 long-chain (≥C20) polyunsaturated fatty acid (n-3 LC-PUFA) content in heart, kidney and liver can be enhanced by supplementing prime lambs with graded levels of canola and flaxseed oil. Health status of the lambs, as a consequence of the supplementation, was also investigated by examining their plasma metabolites. Sixty purebred and first-cross lambs were allocated to one of five treatments of lucerne hay basal diet supplemented with isocaloric and isonitrogenous wheat-based pellets without oil inclusion (Control) or graded levels of canola oil at 2.5% (2.5C), 5% (5C), flaxseed oil at 2.5% (2.5F) and 5% (5F) in a completely randomised design. Pre-slaughter blood, post-slaughter kidney, liver and heart samples were analysed for plasma metabolite and fatty acid profiles. Summations of docosapentaenoic acid and docosahexaenoic acid, and total n-3 LC-PUFA were enhanced in the liver and kidney of 5F supplemented lambs with a marked decrease in n-6/n-3 ratio and significant breed differences detected. There were generally no deleterious impacts on animal health status. A combination of 5% oil supplementation and lamb genetics is an effective and strategic management tool for enhancing n-3 LC-PUFA contents of heart, kidney and liver without compromising lamb health.
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Affiliation(s)
- Don V Nguyen
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.
- National Institute of Animal Science, Thuy Phuong, Bac Tu Liem, Hanoi 129909, Vietnam.
| | - Van H Le
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.
- National Institute of Animal Science, Thuy Phuong, Bac Tu Liem, Hanoi 129909, Vietnam.
| | - Quang V Nguyen
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.
- College of Economics and Techniques, Thai Nguyen University, Thai Nguyen 252166, Vietnam.
| | - Bunmi S Malau-Aduli
- College of Medicine and Dentistry, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.
| | - Peter D Nichols
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.
- CSIRO Oceans & Atmosphere, P.O. Box 1538, Hobart, TAS 7001, Australia.
| | - Aduli E O Malau-Aduli
- Animal Genetics and Nutrition, Veterinary Sciences Discipline, College of Public Health, Medical and Veterinary Sciences, Division of Tropical Health and Medicine, James Cook University, Townsville, QLD 4811, Australia.
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Erwan E, Zulfikar, Saleh E, Kuntoro B, Chowdhury VS, Furuse M. Orally Administered D-Aspartate Depresses Rectal Temperature and Alters Plasma Triacylglycerol and Glucose Concentrations in Broiler Chicks. J Poult Sci 2017; 54:205-11. [PMID: 32908427 DOI: 10.2141/jpsa.0160010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
L-Aspartate (L-Asp), D-aspartate (D-Asp) or their chemical conjugates plays important physiological roles in regulating food intake, plasma metabolites and thermoregulation in animals. However, there are very few studies available in layers and no reports have been found in broilers. Broilers are very important commercial birds for meat production, so effects of L- or D-Asp in broilers would provide new physiological insight of this strain. Therefore, the purpose of this study was to determine the effect of oral administration of L- or D-Asp on feed intake, rectal temperature and some plasma metabolites in broiler chicks. Broiler chicks (5 days old) were orally administered with different doses (0, 3.75, 7.5 and 15 mmol/kg body weight) of L- or D-Asp. At 120 min after administration of L- or D-Asp, the blood was immediately collected through the jugular vein. The rectal temperature of chicks was measured at 30, 60 and 120 min after administration using a digital thermometer with an accuracy of ±0.1°C, by inserting the thermistor probe in the rectum to a depth of 2 cm. A repeated-measures two-way ANOVA was applied for the analysis of feed intake and rectal temperature. Plasma metabolites were statistically analyzed by one-way ANOVA and regression equations. The study showed that oral administration of both L- and D-Asp did not alter feed intake. However, D-Asp, but not L-Asp, dose-dependently decreased the rectal temperature in chicks. It was also found that D-Asp increased plasma glucose and decreased triacylglycerol concentrations. The changes in plasma metabolites further indicate that D-Asp treatment modulates the energy metabolism in broiler chicks. In conclusion, D-Asp may be a beneficial nutrient not only for layers but also for broilers, since orally administered D-Asp lowered rectal temperature without reducing feed intake.
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Price ER. The physiology of lipid storage and use in reptiles. Biol Rev Camb Philos Soc 2016; 92:1406-1426. [PMID: 27348513 DOI: 10.1111/brv.12288] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 05/10/2016] [Accepted: 05/16/2016] [Indexed: 12/26/2022]
Abstract
Lipid metabolism is central to understanding whole-animal energetics. Reptiles store most excess energy in lipid form, mobilise those lipids when needed to meet energetic demands, and invest lipids in eggs to provide the primary source of energy to developing embryos. Here, I review the mechanisms by which non-avian reptiles store, transport, and use lipids. Many aspects of lipid absorption, transport, and storage appear to be similar to birds, including the hepatic synthesis of lipids from glucose substrates, the transport of triglycerides in lipoproteins, and the storage of lipids in adipose tissue, although adipose tissue in non-avian reptiles is usually concentrated in abdominal fat bodies or the tail. Seasonal changes in fat stores suggest that lipid storage is primarily for reproduction in most species, rather than for maintenance during aphagic periods. The effects of fasting on plasma lipid metabolites can differ from mammals and birds due to the ability of non-avian reptiles to reduce their metabolism drastically during extended fasts. The effect of fasting on levels of plasma ketones is species specific: β-hydroxybutyrate concentration may rise or fall during fasting. I also describe the process by which the bulk of lipids are deposited into oocytes during vitellogenesis. Although this process is sometimes ascribed to vitellogenin-based transport in reptiles, the majority of lipid deposition occurs via triglycerides packaged in very-low-density lipoproteins (VLDLs), based on physiological, histological, biochemical, comparative, and genomic evidence. I also discuss the evidence for non-avian reptiles using 'yolk-targeted' VLDLs during vitellogenesis. The major physiological states - feeding, fasting, and vitellogenesis - have different effects on plasma lipid metabolites, and I discuss the possibilities and potential problems of using plasma metabolites to diagnose feeding condition in non-avian reptiles.
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Affiliation(s)
- Edwin R Price
- Department of Biological Sciences, Developmental Integrative Biology Research Group, University of North Texas, Denton, TX, 76203, U.S.A
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Petrera F, Napolitano F, Dal Prà A, Abeni F. Plasma parameters related to energy and lipid metabolism in periparturient Modenese and Italian Friesian cows. J Anim Physiol Anim Nutr (Berl) 2014; 99:962-73. [PMID: 25439563 DOI: 10.1111/jpn.12270] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Accepted: 09/30/2014] [Indexed: 11/27/2022]
Abstract
The aim of this work was to compare energy and lipid metabolism during the peripartum period between Modenese (MO) and Italian Friesian (IF) cows. The study was carried out on 33 pluriparous pregnant cows, 19 IF and 14 MO, reared together in the same herd and kept under equal conditions of management and nutrition. Blood was sampled from jugular vein starting 4 week before expected calving date until 4 week post-calving, once weekly. Plasma was analysed for glucose, NEFA, BHBA, triglycerides and cholesterol concentrations. Body condition score (BCS) was assessed weekly after blood sampling. Data from antepartum (a.p.) and post-partum (p.p.) periods were separately analysed as repeated measures by a linear mixed models with the effect of breed, time and their interaction as main factors and random cow within breed. The energy status differed between the two breeds during the peripartum period. We observed higher BCS a.p. and p.p. and lower BCS variations p.p. in MO compared to IF group. Modenese cows showed lower glucose and cholesterol concentrations (p < 0.001), but higher NEFA values, NEFA to cholesterol and NEFA to albumin ratios (p < 0.001) during a.p.; on the contrary, IF cows had higher (p < 0.05) cholesterol, NEFA, BHBA levels and NEFA to albumin ratio than MO ones during p.p. The differences observed between the two breeds suggest how MO cows are subjected to lipid mobilization during late gestation; on the contrary, IF cows are predisposed to mobilize their lipid reserves at the beginning of lactation to support high production. The results indicate a diverse ability to cope with metabolic stress and suggest the hypothesis that the differences in concentrations of plasma parameters and their variation amplitude around the calving period might depend on the different genetic merit for milk production between the two breeds.
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Affiliation(s)
- F Petrera
- Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Centro di ricerca per le produzioni foraggere e lattiero casearie, Cremona, Italy
| | - F Napolitano
- Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Centro di ricerca per la produzione delle carni e il miglioramento genetico, Roma-Tormancina, Italy
| | - A Dal Prà
- Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Centro di ricerca per le produzioni foraggere e lattiero casearie, Cremona, Italy
| | - F Abeni
- Consiglio per la Ricerca e la Sperimentazione in Agricoltura, Centro di ricerca per le produzioni foraggere e lattiero casearie, Cremona, Italy
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