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Wishart DS, Hiebert-Giesbrecht M, Inchehborouni G, Cao X, Guo AC, LeVatte MA, Torres-Calzada C, Gautam V, Johnson M, Liigand J, Wang F, Zahraei S, Bhumireddy S, Wang Y, Zheng J, Mandal R, Dyck JRB. Chemical Composition of Commercial Cannabis. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:14099-14113. [PMID: 38181219 PMCID: PMC11212042 DOI: 10.1021/acs.jafc.3c06616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/18/2023] [Accepted: 12/22/2023] [Indexed: 01/07/2024]
Abstract
Cannabis is widely used for medicinal and recreational purposes. As a result, there is increased interest in its chemical components and their physiological effects. However, current information on cannabis chemistry is often outdated or scattered across many books and journals. To address this issue, we used modern metabolomics techniques and modern bioinformatics techniques to compile a comprehensive list of >6000 chemical constituents in commercial cannabis. The metabolomics methods included a combination of high- and low-resolution liquid chromatography-mass spectrometry (MS), gas chromatography-MS, and inductively coupled plasma-MS. The bioinformatics methods included computer-aided text mining and computational genome-scale metabolic inference. This information, along with detailed compound descriptions, physicochemical data, known physiological effects, protein targets, and referential compound spectra, has been made available through a publicly accessible database called the Cannabis Compound Database (https://cannabisdatabase.ca). Such a centralized, open-access resource should prove to be quite useful for the cannabis community.
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Affiliation(s)
- David S. Wishart
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
- Department
of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada
- Faculty
of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, Alberta T6G 2H7, Canada
- Department
of Laboratory Medicine and Pathology, University
of Alberta, Edmonton, Alberta T6G 2R3, Canada
| | | | - Gozal Inchehborouni
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Xuan Cao
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - An Chi Guo
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Marcia A. LeVatte
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Claudia Torres-Calzada
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Vasuk Gautam
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Mathew Johnson
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Jaanus Liigand
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Fei Wang
- Department
of Computing Science, University of Alberta, Edmonton, Alberta T6G 2E8, Canada
| | - Shirin Zahraei
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Sudarshana Bhumireddy
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Yilin Wang
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Jiamin Zheng
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Rupasri Mandal
- Department
of Biological Sciences, University of Alberta, Edmonton, Alberta T6G 2E9, Canada
| | - Jason R. B. Dyck
- Department
of Pediatrics, University of Alberta, Edmonton, Alberta T6G 1C9, Canada
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2
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Zhu C, Zhao Y, Yang F, Zhang Q, Zhao X, Yang Z, Dao X, Laghi L. Microbiome and metabolome analyses of milk and feces from dairy cows with healthy, subclinical, and clinical mastitis. Front Microbiol 2024; 15:1374911. [PMID: 38912351 PMCID: PMC11191547 DOI: 10.3389/fmicb.2024.1374911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/27/2024] [Indexed: 06/25/2024] Open
Abstract
Mastitis is commonly recognized as a localized inflammatory udder disease induced by the infiltration of exogenous pathogens. In the present study, our objective was to discern fecal and milk variations in both microbiota composition and metabolite profiles among three distinct groups of cows: healthy cows, cows with subclinical mastitis and cows with clinical mastitis. The fecal microbial community of cows with clinical mastitis was significantly less rich and diverse than the one harbored by healthy cows. In parallel, mastitis caused a strong disturbance in milk microbiota. Metabolomic profiles showed that eleven and twenty-eight molecules exhibited significant differences among the three groups in feces and milk, respectively. Similarly, to microbiota profile, milk metabolome was affected by mastitis more extensively than fecal metabolome, with particular reference to amino acids and sugars. Pathway analysis revealed that amino acids metabolism and energy metabolism could be considered as the main pathways altered by mastitis. These findings underscore the notable distinctions of fecal and milk samples among groups, from microbiome and metabolomic points of view. This observation stands to enhance our comprehension of mastitis in dairy cows.
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Affiliation(s)
- Chenglin Zhu
- College of Food Science and Technology, Southwest Minzu University, Chengdu, China
| | - Yuxuan Zhao
- College of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Falong Yang
- College of Animal and Veterinary Sciences, Southwest Minzu University, Chengdu, China
| | - Qian Zhang
- College of Food Science and Technology, Southwest Minzu University, Chengdu, China
| | - Xin Zhao
- College of Food Science and Technology, Southwest Minzu University, Chengdu, China
| | - Zhibo Yang
- College of Food Science and Technology, Southwest Minzu University, Chengdu, China
| | - Xiaofang Dao
- College of Food Science and Technology, Southwest Minzu University, Chengdu, China
| | - Luca Laghi
- Department of Agricultural and Food Sciences, University of Bologna, Cesena, Italy
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Chen K, Hu B, Ren J, Deng X, Li Q, Zhang R, Zhang Y, Shen G, Liu S, Zhang J, Lu P. Enhanced protein-metabolite correlation analysis: To investigate the association between Staphylococcus aureus mastitis and metabolic immune pathways. FASEB J 2024; 38:e23587. [PMID: 38568835 DOI: 10.1096/fj.202302242rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 04/05/2024]
Abstract
Mastitis is a disease characterized by congestion, swelling, and inflammation of the mammary gland and usually caused by infection with pathogenic microorganisms. Furthermore, the development of mastitis is closely linked to the exogenous pathway of the gastrointestinal tract. However, the regulatory mechanisms governing the gut-metabolism-mammary axis remain incompletely understood. The present study revealed alterations in the gut microbiota of mastitis rats characterized by an increased abundance of the Proteobacteria phylum. Plasma analysis revealed significantly higher levels of L-isoleucine and cholic acid along with 7-ketodeoxycholic acid. Mammary tissue showed elevated levels of arachidonic acid metabolites and norlithocholic acid. Proteomic analysis showed increased levels of IFIH1, Tnfaip8l2, IRGM, and IRF5 in mastitis rats, which suggests that mastitis triggers an inflammatory response and immune stress. Follistatin (Fst) and progesterone receptor (Pgr) were significantly downregulated, raising the risk of breast cancer. Extracellular matrix (ECM) receptors and focal adhesion signaling pathways were downregulated, while blood-milk barrier integrity was disrupted. Analysis of protein-metabolic network regulation revealed that necroptosis, protein digestion and absorption, and arachidonic acid metabolism were the principal regulatory pathways involved in the development of mastitis. In short, the onset of mastitis leads to changes in the microbiota and alterations in the metabolic profiles of various biological samples, including colonic contents, plasma, and mammary tissue. Key manifestations include disturbances in bile acid metabolism, amino acid metabolism, and arachidonic acid metabolism. At the same time, the integrity of the blood-milk barrier is compromised while inflammation is promoted, thereby reducing cell adhesion in the mammary glands. These findings contribute to a more comprehensive understanding of the metabolic status of mastitis and provide new insights into its impact on the immune system.
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Affiliation(s)
- Kuo Chen
- Department of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Binhong Hu
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, China
| | - Jingyuan Ren
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, China
| | - Xin Deng
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, China
| | - Qing Li
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, China
| | - Rong Zhang
- School of Physical Science and Technology, Shanghai Tech University, Shanghai, China
| | - Yuanyuan Zhang
- Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Gengyu Shen
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, China
| | - Songqing Liu
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, China
| | - Jiacheng Zhang
- Department of Hepatobiliary, Pancreatic and Liver Transplantation Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Pengwei Lu
- Department of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Zhang Q, Zeng R, Tang J, Jiang X, Zhu C. The "crosstalk" between microbiota and metabolomic profile in high-fat-diet-induced obese mice supplemented with Bletilla striata polysaccharides and composite polysaccharides. Int J Biol Macromol 2024; 262:130018. [PMID: 38331057 DOI: 10.1016/j.ijbiomac.2024.130018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 01/27/2024] [Accepted: 02/05/2024] [Indexed: 02/10/2024]
Abstract
The potential prebiotic feature of Bletilla striata polysaccharides (BSP) has been widely accepted, while the beneficial effect of BSP on high-fat-diet-induced obesity is unclear. Moreover, the "crosstalk" between microbiota and metabolomic profile in high-fat-diet-induced obese mice supplemented with BSP still need to be further explored. The present study attempted to illustrate the effect of BSP and/or composite polysaccharides on high-fat-diet-induced obese mice by combining multi-matrix (feces, urine, liver) metabolomics and gut microbiome. The results showed that BSP and/or composite polysaccharides were able to reduce the abnormal weight gain induced by high-fat diet. A total of 175 molecules were characterized by proton nuclear magnetic resonance (1H NMR) in feces, urine and liver, suggesting that multi-matrix metabolomics could provide a comprehensive view of metabolic regulatory mechanism of BSP in high-fat-diet-induced obese mice. Several pathways were altered in response to BSP supplementation, mainly pertaining to amino acid, purine, pyrimidine, ascorbate and aldarate metabolisms. In addition, BSP ameliorated high-fat-diet-induced imbalanced gut microbiome, by lowering the ratio of Firmicutes/Bacteroidetes. Significant correlations were illustrated between particular microbiota's features and specific metabolites. Overall, the anti-obesity effect of BSP could be attributed to the amelioration of the disorders of gut microbiota and to the regulation of the "gut-liver axis" metabolism.
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Affiliation(s)
- Qian Zhang
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, China
| | - Rui Zeng
- College of Pharmacy, Southwest Minzu University, Chengdu 610041, China
| | - Junni Tang
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, China
| | - Xiaole Jiang
- College of Chemistry and Environment, Southwest Minzu University, Chengdu 610041, China
| | - Chenglin Zhu
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610041, China.
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Nicoleti JL, Braga ES, Stanisic D, Jadranin M, Façanha DAE, Barral TD, Hanna SA, Azevedo V, Meyer R, Tasic L, Portela RW. A serum NMR metabolomic analysis of the Corynebacterium pseudotuberculosis infection in goats. Appl Microbiol Biotechnol 2023:10.1007/s00253-023-12595-0. [PMID: 37219572 DOI: 10.1007/s00253-023-12595-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 05/10/2023] [Accepted: 05/15/2023] [Indexed: 05/24/2023]
Abstract
Caseous lymphadenitis (CLA), an infectious disease caused by Corynebacterium pseudotuberculosis in small ruminants, is highly prevalent worldwide. Economic losses have already been associated with the disease, and little is known about the host-pathogen relationship associated with the disease. The present study aimed to perform a metabolomic study of the C. pseudotuberculosis infection in goats. Serum samples were collected from a herd of 173 goats. The animals were classified as controls (not infected), asymptomatic (seropositives but without detectable CLA clinical signs), and symptomatic (seropositive animals presenting CLA lesions), according to microbiological isolation and immunodiagnosis. The serum samples were analyzed using nuclear magnetic resonance (1H-NMR), nuclear Overhauser effect spectroscopy (NOESY), and Carr-Purcell-Meiboom-Gill (CPMG) sequences. The NMR data were analyzed using chemometrics, and principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were performed to discover specific biomarkers responsible for discrimination between the groups. A high dissemination of the infection by C. pseudotuberculosis was observed, being 74.57% asymptomatic and 11.56% symptomatic. In the evaluation of 62 serum samples by NMR, the techniques were satisfactory in the discrimination of the groups, being also complementary and mutually confirming, demonstrating possible biomarkers for the infection by the bacterium. Twenty metabolites of interest were identified by NOESY and 29 by CPMG, such as tryptophan, polyunsaturated fatty acids, formic acid, NAD+, and 3-hydroxybutyrate, opening promising possibilities for the use of these results in new therapeutic, immunodiagnosis, and immunoprophylactic tools, as well as for studies of the immune response against C. pseudotuberculosis. KEY POINTS: • Sixty-two samples from healthy, CLA asymptomatic, and symptomatic goats were screened • Twenty metabolites of interest were identified by NOESY and 29 by CPMG • 1H-NMR NOESY and CPMG were complementary and mutually confirming.
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Affiliation(s)
- Jorge Luis Nicoleti
- Laboratório de Imunologia E Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia State, 40231-300, Brazil
| | - Erik Sobrinho Braga
- Laboratório de Química Biológica, Instituto de Química, Universidade Estadual de Campinas, Campinas, São Paulo State, 13083-970, Brazil
| | - Danijela Stanisic
- Laboratório de Química Biológica, Instituto de Química, Universidade Estadual de Campinas, Campinas, São Paulo State, 13083-970, Brazil
| | - Milka Jadranin
- Laboratório de Química Biológica, Instituto de Química, Universidade Estadual de Campinas, Campinas, São Paulo State, 13083-970, Brazil
- Institute of Chemistry, Technology and Metallurgy, University of Belgrade, 11000, Belgrade, Serbia
| | - Débora Andréa Evangelista Façanha
- Institute of Rural Development, Universidade da Integração Internacional da Lusofonia Afro-Brasileira, Redenção, Ceará State, 62790-000, Brazil
| | - Thiago Doria Barral
- Laboratório de Imunologia E Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia State, 40231-300, Brazil
| | - Samira Abdallah Hanna
- Laboratório de Imunologia E Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia State, 40231-300, Brazil
| | - Vasco Azevedo
- Laboratório de Genética Celular e Molecular, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais State, 31270-901, Brazil
| | - Roberto Meyer
- Laboratório de Imunologia E Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia State, 40231-300, Brazil
| | - Ljubica Tasic
- Laboratório de Química Biológica, Instituto de Química, Universidade Estadual de Campinas, Campinas, São Paulo State, 13083-970, Brazil
| | - Ricardo Wagner Portela
- Laboratório de Imunologia E Biologia Molecular, Instituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia State, 40231-300, Brazil.
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