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Ryazanov V, Duskaev G, Sheida E, Nurzhanov B, Kurilkina M. Rumen fermentation, methane concentration, and blood metabolites of cattle receiving dietetical phytobiotic and cobalt (II) chloride. Vet World 2022; 15:2551-2557. [PMID: 36590132 PMCID: PMC9798063 DOI: 10.14202/vetworld.2022.2551-2557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 09/30/2022] [Indexed: 11/13/2022] Open
Abstract
Background and Aim Ensuring the genetic potential of ruminants through nutrition studies using medicinal plants and trace element metals is an urgent task. This study aimed to study the effect of Artemisia absinthium L. (Asteraceae) herb plant separately and in combination with cobalt (II) chloride (CoCl2) chelate compounds on the course of metabolic processes in the rumen, methane concentration, and biochemical blood parameters in bulls. Materials and Methods Control group (BD: Basal diet); experimental Group I - BD + A. absinthium herb at a dose of 2.0 g/kg dry matter (DM), experimental Group II - BD + A. absinthium herb at a dose of 2.0 g/kg DM + CoCl2 (1.5 mg/kg), and experimental Group III - BD + CoCl2 were set (1.5 mg/kg). The study was conducted on 16 beef bulls (Kazakh white-headed breed) aged 13-14 months, with an average live weight of 330-335 kg. Enzymatic processes in the rumen were studied, including the level of volatile fatty acids (using the gas chromatography method), nitrogen and its fractions (using the Kjeldahl method), methane concentration, and morphological and biochemical blood composition. Results There was a decrease in the concentration of acetic acid in experimental group I (15.9%) (p < 0.05) and in the III group (60.3%) and propionic acid in all experimental groups by 5.6%-47.3% (p < 0.05). Feeding A. absinthium herb as part of the diet of experimental Group I contributed to a decrease in methane concentration by 17.8% (p = 0.05) and the lowest methane concentration was noted for experimental Group III. It was less than in control by 59.1% (p < 0.05). An increase in the concentration of glucose, total protein, and creatinine was found in the experimental groups (p < 0.05). The digestibility of organic matter (3.5%), crude fiber (3.6%), and hemicellulose (11.0%) increased with the feeding of A. absinthium herb. Conclusion Thus, using biocomplexes based on A. absinthium herb and CoCl2 do not harm the rumen fermentation of cattle. Still, further microbiome studies are required to evaluate the effects of A. absinthium on cattle properly.
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Affiliation(s)
- Vitaliy Ryazanov
- Federal Research Centre of Biological Systems and Agrotechnologies, RAS, 460000, Orenburg, Russia,Corresponding author: Vitaliy Ryazanov, e-mail: Co-authors: GD: , ES: , BN: , MK:
| | - Galimzhan Duskaev
- Federal Research Centre of Biological Systems and Agrotechnologies, RAS, 460000, Orenburg, Russia
| | - Elena Sheida
- Federal Research Centre of Biological Systems and Agrotechnologies, RAS, 460000, Orenburg, Russia
| | - Baer Nurzhanov
- Federal Research Centre of Biological Systems and Agrotechnologies, RAS, 460000, Orenburg, Russia
| | - Marina Kurilkina
- Federal Research Centre of Biological Systems and Agrotechnologies, RAS, 460000, Orenburg, Russia
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Galvez-Fernandez M, Sanchez-Saez F, Domingo-Relloso A, Rodriguez-Hernandez Z, Tarazona S, Gonzalez-Marrachelli V, Grau-Perez M, Morales-Tatay JM, Amigo N, Garcia-Barrera T, Gomez-Ariza JL, Chaves FJ, Garcia-Garcia AB, Melero R, Tellez-Plaza M, Martin-Escudero JC, Redon J, Monleon D. Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study. Redox Biol 2022; 52:102314. [PMID: 35460952 PMCID: PMC9048061 DOI: 10.1016/j.redox.2022.102314] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 04/06/2022] [Accepted: 04/11/2022] [Indexed: 12/26/2022] Open
Abstract
Background Limited studies have evaluated the joint influence of redox-related metals and genetic variation on metabolic pathways. We analyzed the association of 11 metals with metabolic patterns, and the interacting role of candidate genetic variants, in 1145 participants from the Hortega Study, a population-based sample from Spain. Methods Urine antimony (Sb), arsenic, barium (Ba), cadmium (Cd), chromium (Cr), cobalt (Co), molybdenum (Mo) and vanadium (V), and plasma copper (Cu), selenium (Se) and zinc (Zn) were measured by ICP-MS and AAS, respectively. We summarized 54 plasma metabolites, measured with targeted NMR, by estimating metabolic principal components (mPC). Redox-related SNPs (N = 291) were measured by oligo-ligation assay. Results In our study, the association with metabolic principal component (mPC) 1 (reflecting non-essential and essential amino acids, including branched chain, and bacterial co-metabolism versus fatty acids and VLDL subclasses) was positive for Se and Zn, but inverse for Cu, arsenobetaine-corrected arsenic (As) and Sb. The association with mPC2 (reflecting essential amino acids, including aromatic, and bacterial co-metabolism) was inverse for Se, Zn and Cd. The association with mPC3 (reflecting LDL subclasses) was positive for Cu, Se and Zn, but inverse for Co. The association for mPC4 (reflecting HDL subclasses) was positive for Sb, but inverse for plasma Zn. These associations were mainly driven by Cu and Sb for mPC1; Se, Zn and Cd for mPC2; Co, Se and Zn for mPC3; and Zn for mPC4. The most SNP-metal interacting genes were NOX1, GSR, GCLC, AGT and REN. Co and Zn showed the highest number of interactions with genetic variants associated to enriched endocrine, cardiovascular and neurological pathways. Conclusions Exposures to Co, Cu, Se, Zn, As, Cd and Sb were associated with several metabolic patterns involved in chronic disease. Carriers of redox-related variants may have differential susceptibility to metabolic alterations associated to excessive exposure to metals. In a population-based sample, cobalt, copper, selenium, zinc, arsenic, cadmium and antimony exposures were related to some metabolic patterns. Carriers of redox-related variants displayed differential susceptibility to metabolic alterations associated to excessive metal exposures. Cobalt and zinc showed a number of statistical interactions with variants from genes sharing biological pathways with a role in chronic diseases. The metabolic impact of metals combined with variation in redox-related genes might be large in the population, given metals widespread exposure.
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Affiliation(s)
- Marta Galvez-Fernandez
- Department of Preventive Medicine and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain; Department of Preventive Medicine, Hospital Universitario Severo Ochoa, Madrid, Spain; Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Francisco Sanchez-Saez
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Statistics and Operational Research, University of Valencia, Valencia, Spain
| | - Arce Domingo-Relloso
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Department of Statistics and Operational Research, University of Valencia, Valencia, Spain; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, USA
| | - Zulema Rodriguez-Hernandez
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Department of Biotechnology, Universitat Politècnica de València, Valencia, Spain
| | - Sonia Tarazona
- Applied Statistics and Operations Research and Quality Politècnica de València, Valencia, Spain
| | - Vannina Gonzalez-Marrachelli
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Physiology, University of Valencia, Valencia, Spain
| | - Maria Grau-Perez
- Department of Preventive Medicine and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain; Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Statistics and Operational Research, University of Valencia, Valencia, Spain
| | - Jose M Morales-Tatay
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Pathology University of Valencia, Valencia, Spain
| | - Nuria Amigo
- Biosfer Teslab, Reus, Spain; Department of Basic Medical Sciences, University Rovira I Virgili, Reus, Spain; Center for Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain
| | - Tamara Garcia-Barrera
- Research Center for Natural Resources, Health and the Environment (RENSMA), Department of Chemistry, Faculty of Experimental Sciences, University of Huelva, Huelva, Spain
| | - Jose L Gomez-Ariza
- Research Center for Natural Resources, Health and the Environment (RENSMA), Department of Chemistry, Faculty of Experimental Sciences, University of Huelva, Huelva, Spain
| | - F Javier Chaves
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Center for Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain
| | - Ana Barbara Garcia-Garcia
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Center for Diabetes and Associated Metabolic Diseases (CIBERDEM), Madrid, Spain
| | - Rebeca Melero
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain
| | - Maria Tellez-Plaza
- Department of Preventive Medicine and Microbiology, Universidad Autónoma de Madrid, Madrid, Spain; Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain.
| | - Juan C Martin-Escudero
- Department of Internal Medicine, Hospital Universitario Rio Hortega, University of Valladolid, Valladolid, Spain
| | - Josep Redon
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain
| | - Daniel Monleon
- Institute for Biomedical Research, Hospital Clinic of Valencia (INCLIVA), Valencia, Spain; Department of Pathology University of Valencia, Valencia, Spain; Center for Biomedical Research Network on Frailty and Health Aging (CIBERFES), Madrid, Spain
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Wang H, Li F, Xue J, Li Y, Li J. Association of blood cobalt concentrations with dyslipidemia, hypertension, and diabetes in a US population: A cross-sectional study. Medicine (Baltimore) 2022; 101:e28568. [PMID: 35029227 PMCID: PMC8757996 DOI: 10.1097/md.0000000000028568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 12/22/2021] [Indexed: 01/05/2023] Open
Abstract
Various heavy metal elements in the human body have been reported to be associated with dyslipidemia, hypertension, and diabetes. The role of cobalt in these conditions is unclear. The current study aimed to investigate the association of blood cobalt concentrations with dyslipidemia, hypertension, and diabetes.Using the data collected from the National Health and Nutrition Examination Survey (2015-2018), we performed logistic regression to explore the association of blood cobalt concentrations with total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, hypertension, and diabetes.A total of 6866 adults were included in this study. Participants with higher blood cobalt levels appeared to be older and have a lower body mass index and, were more likely to be female (P for trend < .05). After fully adjusting for demographic characteristics (Model 2), compared with the lowest quartile, the highest quartile of blood cobalt concentrations had lower odds ratios (ORs) for elevated TC [OR: 0.62, 95% confidential interval (CI): 0.53 to 0.72, P < .001], elevated LDL-C (OR: 0.65, 95% CI: 0.53-0.80, P < .001) and low HDL-C (OR: 0.81, 95% CI: 0.69-0.96, P = .013). The adjusted ORs for elevated TC, elevated LDL-C and low HDL-C were negatively correlated with increased blood cobalt concentrations (P for trend < .05). The adjusted ORs for hypertension and diabetes were not associated with blood cobalt concentrations (P > .05 and P for trend > .05).In conclusion, higher blood cobalt concentrations were associated with a lower risk of dyslipidemia. However, blood cobalt concentrations were not associated with the risk of hypertension or diabetes.
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Affiliation(s)
- Hongxin Wang
- Department of Neurology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Neurology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Feng Li
- Department of ENT (Ear-Nose-Throat), Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Jianghua Xue
- Medical Imaging Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yanshuang Li
- Department of Neurology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Neurology, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jiyu Li
- Department of Breast and Thyroid Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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