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Yu X, Wang Y, Yang R, Wang Z, Wang X, Wang S, Zhang W, Dong J, Chen W, Ji F, Gao W. Trimethylamine N-oxide predicts cardiovascular events in coronary artery disease patients with diabetes mellitus: a prospective cohort study. Front Endocrinol (Lausanne) 2024; 15:1360861. [PMID: 39092284 PMCID: PMC11291261 DOI: 10.3389/fendo.2024.1360861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 06/27/2024] [Indexed: 08/04/2024] Open
Abstract
Background Gut microbiota has significant impact on the cardio-metabolism and inflammation, and is implicated in the pathogenesis and progression of atherosclerosis. However, the long-term prospective association between trimethylamine N-oxide (TMAO) level and major adverse clinical events (MACEs) in patients with coronary artery disease (CAD) with or without diabetes mellitus (DM) habitus remains to be investigated. Methods This prospective, single-center cohort study enrolled 2090 hospitalized CAD patients confirmed by angiography at Beijing Hospital from 2017-2020. TMAO levels were performed using liquid chromatography-tandem mass spectrometry. The composite outcome of MACEs was identified by clinic visits or interviews annually. Multivariate Cox regression analysis, Kaplan-Meier analysis, and restricted cubic splines were mainly used to explore the relationship between TMAO levels and MACEs based on diabetes mellitus (DM) habitus. Results During the median follow-up period of 54 (41, 68) months, 266 (12.7%) developed MACEs. Higher TMAO levels, using the tertile cut-off value of 318.28 ng/mL, were significantly found to be positive dose-independent for developing MACEs, especially in patients with DM (HR 1.744, 95%CI 1.084-2.808, p = 0.022). Conclusions Higher levels of TMAO are significantly associated with long-term MACEs among CAD patients with DM. The combination of TMAO in patients with CAD and DM is beneficial for risk stratification and prognosis.
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Affiliation(s)
- Xue Yu
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yijia Wang
- Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Ruiyue Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Zhe Wang
- Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xinyue Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Siming Wang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Wenduo Zhang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jun Dong
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Wenxiang Chen
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Fusui Ji
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Wei Gao
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University; NHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Peking University; Beijing Key Laboratory of Cardiovascular Receptors Research, Beijing, China
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Amato B, Novellino E, Morlando D, Vanoli C, Vanoli E, Ferrara F, Difruscolo R, Goffredo VM, Compagna R, Tenore GC, Stornaiuolo M, Fordellone M, Caradonna E. Benefits of Taurisolo in Diabetic Patients with Peripheral Artery Disease. J Cardiovasc Dev Dis 2024; 11:174. [PMID: 38921674 PMCID: PMC11203668 DOI: 10.3390/jcdd11060174] [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: 01/30/2024] [Revised: 04/29/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Trimethyl-N-oxide (TMAO) has been linked to peripheral artery disease (PAD). TaurisoloⓇ is a natural, balanced phytocomplex containing resveratrol, quercetin, catechins, procianidins, gallic acid, and caffeic acid. Numerous studies have shown that TaurisoloⓇ reduces the damage of TMAO and exerts a protective effect on endothelial cells (ECs). The aim of this randomized, double-blind, single-center study was to evaluate the effects of TaurisoloⓇ on claudication in patients with PAD (Rutheford grade I, category II, Fontaine Classification: Stage IIA, American Medical Association Whole Person Impairment Classification: Class 0-WPI 0%) in two parallel groups of 31 patients. The primary outcomes were an increase in the pain-free walking distance and the ankle/brachial pressure index at the beginning and at the end of the treatment with Taurisolo. The secondary endpoint was the serum TMAO changes. The claudication distance improved by 14.1% in the Taurisolo group and by 2.0% in the placebo group, while the maximal distance increased by 15.8% and 0.6% only, respectively (both p < 0.05). The TMAO plasma levels decreased from 3.97 ± 2.13 micromole/L to 0.87 ± 0.48 (p < 0.0001) in the treated group. All these changes were highly significant both in univariate mixed models as well as in the adjusted model. Ultimately, TaurisoloⓇ might be an effective intervention to ameliorate intermittent claudication.
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Affiliation(s)
- Bruno Amato
- Department of Public Health, Università degli Studi di Napoli Federico II, 80138 Naples, Italy; (B.A.); (D.M.)
| | - Ettore Novellino
- Chimica Farmaceutica e Tossicologica, Università Cattolica del Sacro Cuore, 20123 Rome, Italy;
| | - Davide Morlando
- Department of Public Health, Università degli Studi di Napoli Federico II, 80138 Naples, Italy; (B.A.); (D.M.)
| | - Camilla Vanoli
- Clinical Psychology, Antioch University Los Angeles, Culver City, CA 90230, USA
| | - Emilio Vanoli
- School of Nursing, University of Pavia, 27100 Pavia, Italy;
| | - Fulvio Ferrara
- Centro Diagnostico Italiano, Department of Clinical Laboratory, 20100 Milan, Italy; (F.F.); (E.C.)
| | - Rossana Difruscolo
- Biotecnologie Mediche e Farmaceutiche, Università degli Studi di Bari, 70126 Bari, Italy;
| | - Vito Maria Goffredo
- Department of Interdisciplinary Medicine, Università degli Studi di Bari, 70124 Bari, Italy;
| | - Rita Compagna
- Vascular Surgery Unit AORN Ospedale dei Colli, 80131 Naples, Italy;
| | - Gian Carlo Tenore
- Department of Pharmacy, Università degli Studi di Napoli Federico II, 80138 Naples, Italy; (G.C.T.); (M.S.)
| | - Mariano Stornaiuolo
- Department of Pharmacy, Università degli Studi di Napoli Federico II, 80138 Naples, Italy; (G.C.T.); (M.S.)
| | - Mario Fordellone
- Unità di Statistica Medica, Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, Università degli Studi della Campania ‘Luigi Vanvitelli’, 81020 Napoli, Italy;
| | - Eugenio Caradonna
- Centro Diagnostico Italiano, Department of Clinical Laboratory, 20100 Milan, Italy; (F.F.); (E.C.)
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Andreu‐Sánchez S, Ahmad S, Kurilshikov A, Beekman M, Ghanbari M, van Faassen M, van den Munckhof ICL, Steur M, Harms A, Hankemeier T, Ikram MA, Kavousi M, Voortman T, Kraaij R, Netea MG, Rutten JHW, Riksen NP, Zhernakova A, Kuipers F, Slagboom PE, van Duijn CM, Fu J, Vojinovic D. Unraveling interindividual variation of trimethylamine N-oxide and its precursors at the population level. IMETA 2024; 3:e183. [PMID: 38898991 PMCID: PMC11183189 DOI: 10.1002/imt2.183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 06/21/2024]
Abstract
Trimethylamine N-oxide (TMAO) is a circulating microbiome-derived metabolite implicated in the development of atherosclerosis and cardiovascular disease (CVD). We investigated whether plasma levels of TMAO, its precursors (betaine, carnitine, deoxycarnitine, choline), and TMAO-to-precursor ratios are associated with clinical outcomes, including CVD and mortality. This was followed by an in-depth analysis of their genetic, gut microbial, and dietary determinants. The analyses were conducted in five Dutch prospective cohort studies including 7834 individuals. To further investigate association results, Mendelian Randomization (MR) was also explored. We found only plasma choline levels (hazard ratio [HR] 1.17, [95% CI 1.07; 1.28]) and not TMAO to be associated with CVD risk. Our association analyses uncovered 10 genome-wide significant loci, including novel genomic regions for betaine (6p21.1, 6q25.3), choline (2q34, 5q31.1), and deoxycarnitine (10q21.2, 11p14.2) comprising several metabolic gene associations, for example, CPS1 or PEMT. Furthermore, our analyses uncovered 68 gut microbiota associations, mainly related to TMAO-to-precursors ratios and the Ruminococcaceae family, and 16 associations of food groups and metabolites including fish-TMAO, meat-carnitine, and plant-based food-betaine associations. No significant association was identified by the MR approach. Our analyses provide novel insights into the TMAO pathway, its determinants, and pathophysiological impact on the general population.
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Affiliation(s)
- Sergio Andreu‐Sánchez
- Department of Genetics, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
- Department of Pediatrics, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Shahzad Ahmad
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Metabolomics & Analytics Centre, Leiden Academic Center for Drug ResearchLeiden UniversityLeidenThe Netherlands
| | - Alexander Kurilshikov
- Department of Genetics, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
| | - Mohsen Ghanbari
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Martijn van Faassen
- Department of Laboratory Medicine, University Medical Center GroningenUniversity of GroningenGroningenThe Netherland
| | - Inge C. L. van den Munckhof
- Department of Internal Medicine and Radboud Institute for Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Marinka Steur
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Amy Harms
- Metabolomics & Analytics Centre, Leiden Academic Center for Drug ResearchLeiden UniversityLeidenThe Netherlands
| | - Thomas Hankemeier
- Metabolomics & Analytics Centre, Leiden Academic Center for Drug ResearchLeiden UniversityLeidenThe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Maryam Kavousi
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Trudy Voortman
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Robert Kraaij
- Department of Internal MedicineErasmus University Medical CenterRotterdamThe Netherlands
| | - Mihai G. Netea
- Department of Internal Medicine and Radboud Institute for Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Joost H. W. Rutten
- Department of Internal Medicine and Radboud Institute for Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Niels P. Riksen
- Department of Internal Medicine and Radboud Institute for Molecular Life SciencesRadboud University Medical CenterNijmegenThe Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Folkert Kuipers
- Department of Pediatrics, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
- Department of Laboratory Medicine, University Medical Center GroningenUniversity of GroningenGroningenThe Netherland
- European Institute for the Biology of Ageing, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - P. Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
| | | | - Jingyuan Fu
- Department of Genetics, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
- Department of Pediatrics, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Dina Vojinovic
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Molecular Epidemiology, Department of Biomedical Data SciencesLeiden University Medical CenterLeidenThe Netherlands
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4
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Uno Y, Shimizu M, Yamazaki H. A variety of cytochrome P450 enzymes and flavin-containing monooxygenases in dogs and pigs commonly used as preclinical animal models. Biochem Pharmacol 2024:116124. [PMID: 38490520 DOI: 10.1016/j.bcp.2024.116124] [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: 01/16/2024] [Revised: 02/29/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
Drug oxygenation is mainly mediated by cytochromes P450 (P450s, CYPs) and flavin-containing monooxygenases (FMOs). Polymorphic variants of P450s and FMOs are known to influence drug metabolism. Species differences exist in terms of drug metabolism and can be important when determining the contributions of individual enzymes. The success of research into drug-metabolizing enzymes and their impacts on drug discovery and development has been remarkable. Dogs and pigs are often used as preclinical animal models. This research update provides information on P450 and FMO enzymes in dogs and pigs and makes comparisons with their human enzymes. Newly identified dog CYP3A98, a testosterone 6β- and estradiol 16α-hydroxylase, is abundantly expressed in small intestine and is likely the major CYP3A enzyme in small intestine, whereas dog CYP3A12 is the major CYP3A enzyme in liver. The roles of recently identified dog CYP2J2 and pig CYP2J33/34/35 were investigated. FMOs have been characterized in humans and several other species including dogs and pigs. P450 and FMO family members have been characterized also in cynomolgus macaques and common marmosets. P450s have industrial applications and have been the focus of attention of many pharmaceutical companies. The techniques used to investigate the roles of P450/FMO enzymes in drug oxidation and clinical treatments have not yet reached maturity and require further development. The findings summarized here provide a foundation for understanding individual pharmacokinetic and toxicological results in dogs and pigs as preclinical models and will help to further support understanding of the molecular mechanisms of human P450/FMO functionality.
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Affiliation(s)
- Yasuhiro Uno
- Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima-city, Kagoshima 890-0065, Japan
| | - Makiko Shimizu
- Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan
| | - Hiroshi Yamazaki
- Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
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Uno Y, Makiguchi M, Ushirozako G, Tsukiyama-Kohara K, Shimizu M, Yamazaki H. Molecular and functional characterization of flavin-containing monooxygenases (FMO1-6) in tree shrews. Comp Biochem Physiol C Toxicol Pharmacol 2024; 277:109835. [PMID: 38215804 DOI: 10.1016/j.cbpc.2024.109835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 12/08/2023] [Accepted: 01/08/2024] [Indexed: 01/14/2024]
Abstract
Flavin-containing monooxygenases (FMOs) are a family of important drug oxygenation enzymes that, in humans, consist of five functional enzymes (FMO1-5) and a pseudogene (FMO6P). The tree shrew is a non-rodent primate-like species that is used in various biomedical studies, but its usefulness in drug metabolism research has not yet been investigated. In this study, tree shrew FMO1-6 cDNAs were isolated and characterized by sequence analysis, tissue expression, and metabolic function. Compared with human FMOs, tree shrew FMOs showed sequence identities of 85-90 % and 81-89 %, respectively, for cDNA and amino acids. Phylogenetic analysis showed that each tree shrew and human FMO were closely clustered. The genomic and genetic structures of the FMO genes were conserved in tree shrews and humans. Among the five tissue types analyzed (lung, heart, kidney, small intestine, and liver), FMO3 and FMO1 mRNAs were most abundant in liver and kidney, respectively. Recombinant tree shrew FMO1-6 proteins expressed in bacterial membranes all mediated benzydamine and trimethylamine N-oxygenations and methyl p-tolyl sulfide S-oxygenation. The selective human FMO3 substrate trimethylamine was predominantly metabolized by tree shrew FMO3. Additionally, tree shrew FMO6 was active toward trimethylamine, as is cynomolgus macaque FMO6, in contrast with the absence of activity of the human FMO6P pseudogene product. Tree shrew FMO1-6, which are orthologous to human FMOs (FMO1-5 and FMO6P) were identified, and tree shrew FMO3 has functional and molecular features generally comparable to those of human FMO3 as the predominant FMO in liver.
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Affiliation(s)
- Yasuhiro Uno
- Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima-city, Kagoshima 890-0065, Japan.
| | - Miaki Makiguchi
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan
| | - Genki Ushirozako
- Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima-city, Kagoshima 890-0065, Japan
| | - Kyoko Tsukiyama-Kohara
- Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima-city, Kagoshima 890-0065, Japan
| | - Makiko Shimizu
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan
| | - Hiroshi Yamazaki
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo 194-8543, Japan.
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Louck LE, Cara KC, Klatt K, Wallace TC, Chung M. The Relationship of Circulating Choline and Choline-Related Metabolite Levels with Health Outcomes: A Scoping Review of Genome-Wide Association Studies and Mendelian Randomization Studies. Adv Nutr 2024; 15:100164. [PMID: 38128611 PMCID: PMC10819410 DOI: 10.1016/j.advnut.2023.100164] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/11/2023] [Accepted: 12/18/2023] [Indexed: 12/23/2023] Open
Abstract
Choline is essential for proper liver, muscle, brain, lipid metabolism, cellular membrane composition, and repair. Understanding genetic determinants of circulating choline metabolites can help identify new determinants of choline metabolism, requirements, and their link to disease endpoints. We conducted a scoping review to identify studies assessing the association of genetic polymorphisms on circulating choline and choline-related metabolite concentrations and subsequent associations with health outcomes. This study follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement scoping review extension. Literature was searched to September 28, 2022, in 4 databases: Embase, MEDLINE, Web of Science, and the Biological Science Index. Studies of any duration in humans were considered. Any genome-wide association study (GWAS) investigating genetic variant associations with circulating choline and/or choline-related metabolites and any Mendelian randomization (MR) study investigating the association of genetically predicted circulating choline and/or choline-related metabolites with any health outcome were considered. Qualitative evidence is presented in summary tables. From 1248 total reviewed articles, 53 were included (GWAS = 27; MR = 26). Forty-two circulating choline-related metabolites were tested in association with genetic variants in GWAS studies, primarily trimethylamine N-oxide, betaine, sphingomyelins, lysophosphatidylcholines, and phosphatidylcholines. MR studies investigated associations between 52 total unique choline metabolites and 66 unique health outcomes. Of these, 47 significant associations were reported between 16 metabolites (primarily choline, lysophosphatidylcholines, phosphatidylcholines, betaine, and sphingomyelins) and 27 health outcomes including cancer, cardiovascular, metabolic, bone, and brain-related outcomes. Some articles reported significant associations between multiple choline types and the same health outcome. Genetically predicted circulating choline and choline-related metabolite concentrations are associated with a wide variety of health outcomes. Further research is needed to assess how genetic variability influences choline metabolism and whether individuals with lower genetically predicted circulating choline and choline-related metabolite concentrations would benefit from a dietary intervention or supplementation.
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Affiliation(s)
- Lauren E Louck
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
| | - Kelly C Cara
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
| | - Kevin Klatt
- Nutritional Sciences and Toxicology, University of California, Berkeley, CA, United States
| | - Taylor C Wallace
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; Think Health Group, Inc, Washington, DC, United States
| | - Mei Chung
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
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Biswas S, Hilser JR, Woodward NC, Wang Z, Gukasyan J, Nemet I, Schwartzman WS, Huang P, Han Y, Fouladian Z, Charugundla S, Spencer NJ, Pan C, Tang WW, Lusis AJ, Hazen SL, Hartiala JA, Allayee H. Effect of Genetic and Dietary Perturbation of Glycine Metabolism on Atherosclerosis in Humans and Mice. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.08.23299748. [PMID: 38168321 PMCID: PMC10760269 DOI: 10.1101/2023.12.08.23299748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Objective Epidemiological and genetic studies have reported inverse associations between circulating glycine levels and risk of coronary artery disease (CAD). However, these findings have not been consistently observed in all studies. We sought to evaluate the causal relationship between circulating glycine levels and atherosclerosis using large-scale genetic analyses in humans and dietary supplementation experiments in mice. Methods Serum glycine levels were evaluated for association with prevalent and incident CAD in the UK Biobank. A multi-ancestry genome-wide association study (GWAS) meta-analysis was carried out to identify genetic determinants for circulating glycine levels, which were then used to evaluate the causal relationship between glycine and risk of CAD by Mendelian randomization (MR). A glycine feeding study was carried out with atherosclerosis-prone apolipoprotein E deficient (ApoE-/-) mice to determine the effects of increased circulating glycine levels on amino acid metabolism, metabolic traits, and aortic lesion formation. Results Among 105,718 subjects from the UK Biobank, elevated serum glycine levels were associated with significantly reduced risk of prevalent CAD (Quintile 5 vs. Quintile 1 OR=0.76, 95% CI 0.67-0.87; P<0.0001) and incident CAD (Quintile 5 vs. Quintile 1 HR=0.70, 95% CI 0.65-0.77; P<0.0001) in models adjusted for age, sex, ethnicity, anti-hypertensive and lipid-lowering medications, blood pressure, kidney function, and diabetes. A meta-analysis of 13 GWAS datasets (total n=230,947) identified 61 loci for circulating glycine levels, of which 26 were novel. MR analyses provided modest evidence that genetically elevated glycine levels were causally associated with reduced systolic blood pressure and risk of type 2 diabetes, but did provide evidence for an association with risk of CAD. Furthermore, glycine-supplementation in ApoE-/- mice did not alter cardiometabolic traits, inflammatory biomarkers, or development of atherosclerotic lesions. Conclusions Circulating glycine levels were inversely associated with risk of prevalent and incident CAD in a large population-based cohort. While substantially expanding the genetic architecture of circulating glycine levels, MR analyses and in vivo feeding studies in humans and mice, respectively, did not provide evidence that the clinical association of this amino acid with CAD represents a causal relationship, despite being associated with two correlated risk factors.
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Affiliation(s)
- Subarna Biswas
- Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - James R. Hilser
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Nicholas C. Woodward
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Zeneng Wang
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195
- Department of Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH 44195
| | - Janet Gukasyan
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Ina Nemet
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195
- Department of Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195
| | - William S. Schwartzman
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Pin Huang
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Yi Han
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Zachary Fouladian
- Department of Medicine, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095
| | - Sarada Charugundla
- Department of Medicine, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095
| | - Neal J. Spencer
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Calvin Pan
- Department of Human Genetics, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095
| | - W.H. Wilson Tang
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195
- Department of Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH 44195
| | - Aldons J. Lusis
- Department of Medicine, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095
- Department of Human Genetics, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095
- Department of Microbiology, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095
| | - Stanley L. Hazen
- Department of Cardiovascular & Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195
- Department of Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH 44195
| | - Jaana A. Hartiala
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
| | - Hooman Allayee
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033
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Dodangeh S, Taghizadeh H, Hosseinkhani S, Khashayar P, Pasalar P, Meybodi HRA, Razi F, Larijani B. Metabolomics signature of cardiovascular disease in patients with diabetes, a narrative review. J Diabetes Metab Disord 2023; 22:985-994. [PMID: 37975080 PMCID: PMC10638133 DOI: 10.1007/s40200-023-01256-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 06/19/2023] [Indexed: 11/19/2023]
Abstract
Objectives The exact underlying mechanism of developing diabetes-related cardiovascular disease (CVD) among patients with type 2 diabetes (T2D) is not clear. Metabolomics can provide a platform enabling the prediction, diagnosis, and understanding of the risk of CVD in patients with diabetes mellitus. The aim of this review is to summarize the available evidence on the relationship between metabolomics and cardiovascular diseases in patients with diabetes. Methods The literature was searched to find out studies that have investigated the relationship between the alteration of specific metabolites and cardiovascular diseases in patients with diabetes. Results Evidence proposed that changes in the metabolism of certain amino acids, lipids, and carbohydrates, independent of traditional CVD risk factors, are associated with increased CVD risk. Conclusions Metabolomics can provide a platform to enable the prediction, diagnosis, and understanding of the risk of CVD in patients with diabetes mellitus. The association of the alteration in specific metabolites with CVD may be considered in the investigations for the development of new therapeutic targets for the prevention of CVD in patients with diabetes mellitus.
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Affiliation(s)
- Salimeh Dodangeh
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hananeh Taghizadeh
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Shaghayegh Hosseinkhani
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Pouria Khashayar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Parvin Pasalar
- Metabolic Disorders Research Center, Endocrinology and Metabolism Molecular -Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamid Reza Aghaei Meybodi
- Evidence-based Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farideh Razi
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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9
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Allayee H, Farber CR, Seldin MM, Williams EG, James DE, Lusis AJ. Systems genetics approaches for understanding complex traits with relevance for human disease. eLife 2023; 12:e91004. [PMID: 37962168 PMCID: PMC10645424 DOI: 10.7554/elife.91004] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/16/2023] [Indexed: 11/15/2023] Open
Abstract
Quantitative traits are often complex because of the contribution of many loci, with further complexity added by environmental factors. In medical research, systems genetics is a powerful approach for the study of complex traits, as it integrates intermediate phenotypes, such as RNA, protein, and metabolite levels, to understand molecular and physiological phenotypes linking discrete DNA sequence variation to complex clinical and physiological traits. The primary purpose of this review is to describe some of the resources and tools of systems genetics in humans and rodent models, so that researchers in many areas of biology and medicine can make use of the data.
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Affiliation(s)
- Hooman Allayee
- Departments of Population & Public Health Sciences, University of Southern CaliforniaLos AngelesUnited States
- Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Charles R Farber
- Center for Public Health Genomics, University of Virginia School of MedicineCharlottesvilleUnited States
- Departments of Biochemistry & Molecular Genetics, University of Virginia School of MedicineCharlottesvilleUnited States
- Public Health Sciences, University of Virginia School of MedicineCharlottesvilleUnited States
| | - Marcus M Seldin
- Department of Biological Chemistry, University of California, IrvineIrvineUnited States
| | - Evan Graehl Williams
- Luxembourg Centre for Systems Biomedicine, University of LuxembourgLuxembourgLuxembourg
| | - David E James
- School of Life and Environmental Sciences, University of SydneyCamperdownAustralia
- Faculty of Medicine and Health, University of SydneyCamperdownAustralia
- Charles Perkins Centre, University of SydneyCamperdownAustralia
| | - Aldons J Lusis
- Departments of Human Genetics, University of California, Los AngelesLos AngelesUnited States
- Medicine, University of California, Los AngelesLos AngelesUnited States
- Microbiology, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLALos AngelesUnited States
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10
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Zhou R, Yang M, Yue C, Shi Y, Tan Y, Zha L, Zhang J, Chen S. Association between Dietary Choline Intake and Cardiovascular Diseases: National Health and Nutrition Examination Survey 2011-2016. Nutrients 2023; 15:4036. [PMID: 37764819 PMCID: PMC10534328 DOI: 10.3390/nu15184036] [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: 08/16/2023] [Revised: 09/06/2023] [Accepted: 09/11/2023] [Indexed: 09/29/2023] Open
Abstract
Choline is an essential nutrient for human body, but dietary choline is metabolized into the hazard metabolite for the cardiovascular system. Because of the conflicting results between dietary choline intake and cardiovascular disease (CVD) risk in previous studies, we aimed to investigate this in US adults. Non-pregnant participants and those aged >20 years from National Health and Nutrition Examination Survey 2011-2016, with CVD assessment and reliable dietary recall status, were included. The dietary choline intake was assessed as a mean value of two total dietary choline intakes, including dietary choline intake and supplemental choline intake, in 24-h dietary recall interviews. The association between dietary choline intake and the presence of CVD was examined using logistic regression. We enrolled 14,323 participants. The participants without CVD had substantially higher dietary choline intakes (318.4 mg/d vs. 297.2 mg/d) compared to those with CVD (p < 0.05). After multivariable adjustments, the highest quartile of dietary choline intake was associated with a lower CVD risk, OR 0.693, 95%CI [0.520, 0.923], when compared to the lowest quartile. Consistent results were also found for stroke. Subgroup analyses also supported these, especially in participants aged ≥60 years and in those with BMI < 30 kg/m2. We found that a higher dietary choline intake was associated with a lower CVD risk, especially the risk of stroke. Further clinical trials are needed in order to confirm this finding and to provide dietary suggestions for the appropriate amount of choline intake.
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Affiliation(s)
- Rong Zhou
- Department of Intensive Medicine, Qujing First People’s Hospital, Qujing 655000, China; (R.Z.); (M.Y.); (C.Y.)
| | - Mei Yang
- Department of Intensive Medicine, Qujing First People’s Hospital, Qujing 655000, China; (R.Z.); (M.Y.); (C.Y.)
| | - Chaofu Yue
- Department of Intensive Medicine, Qujing First People’s Hospital, Qujing 655000, China; (R.Z.); (M.Y.); (C.Y.)
| | - Yi Shi
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (Y.S.); (Y.T.); (S.C.)
| | - Yanan Tan
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (Y.S.); (Y.T.); (S.C.)
| | - Lingfeng Zha
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Key Laboratory of Biological Targeted Therapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Provincial Engineering Research Center of Immunological Diagnosis and Therapy for Cardiovascular Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Junxia Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (Y.S.); (Y.T.); (S.C.)
| | - Shaoliang Chen
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China; (Y.S.); (Y.T.); (S.C.)
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11
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Hemmati M, Kashanipoor S, Mazaheri P, Alibabaei F, Babaeizad A, Asli S, Mohammadi S, Gorgin AH, Ghods K, Yousefi B, Eslami M. Importance of gut microbiota metabolites in the development of cardiovascular diseases (CVD). Life Sci 2023; 329:121947. [PMID: 37463653 DOI: 10.1016/j.lfs.2023.121947] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 07/13/2023] [Accepted: 07/14/2023] [Indexed: 07/20/2023]
Abstract
Cardiovascular disease (CVD) remains the most common cause of death worldwide and has become a public health concern. The proven notable risk factors for CVD are atherosclerosis, hypertension, diabetes, dyslipidemia, inflammation, and some genetic defects. However, research has shown a correlation between metabolic health, gut microbiota, and dietary risk factors. The gut microbiota makes an important contribution to human functional metabolic pathways by contributing enzymes that are not encoded by the human genome, for instance, the breakdown of polysaccharides, polyphenols and vitamins synthesis. TMAO and SCFAs, human gut microbiota compounds, have respective immunomodulatory and pro-inflammatory effects. Choline and l-carnitine are abundant in high-fat diets and are transformed into TMA by gut bacteria. The liver's phase of metabolism then changes TMA into TMAO. In turn, TMAO promotes the activation of macrophages, damages vascular endothelium, and results in CVD-however, dysbiosis decreases SCFAs and bile acids, which raises intestinal permeability. Congestion in the portal vein, a drop in cardiac output, a reduction in intestinal perfusion, and intestinal leakage are all caused by heart failure. These factors induce systemic inflammation by increasing intestinal leakage. By raising CRP and pro-inflammatory reactions, human gut dysbiosis and elevated TMAO levels promote the development of arterial plaque, hasten the beginning of atherosclerosis, and raise the risk of CAD. A healthy symbiosis between the gut microbiota and host is a key factor in shaping the biochemical profile of the diet, therefore which are crucial for maintaining the intestinal epithelial barrier, growing mucosa, reducing inflammation, and controlling blood pressure.
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Affiliation(s)
- Maryam Hemmati
- Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | | | - Payman Mazaheri
- Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Farnaz Alibabaei
- Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Ali Babaeizad
- Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Shima Asli
- Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Sina Mohammadi
- Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Amir Hosein Gorgin
- Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Kamran Ghods
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Bahman Yousefi
- Cancer Research Center, Semnan University of Medical Sciences, Semnan, Iran.
| | - Majid Eslami
- Department of Bacteriology and Virology, Semnan University of Medical Sciences, Semnan, Iran.
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12
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Ciccone MM, Lepera ME, Guaricci AI, Forleo C, Cafiero C, Colella M, Palmirotta R, Santacroce L. Might Gut Microbiota Be a Target for a Personalized Therapeutic Approach in Patients Affected by Atherosclerosis Disease? J Pers Med 2023; 13:1360. [PMID: 37763128 PMCID: PMC10532785 DOI: 10.3390/jpm13091360] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
In recent years, the increasing number of studies on the relationship between the gut microbiota and atherosclerosis have led to significant interest in this subject. The gut microbiota, its metabolites (metabolome), such as TMAO, and gut dysbiosis play an important role in the development of atherosclerosis. Furthermore, inflammation, originating from the intestinal tract, adds yet another mechanism by which the human ecosystem is disrupted, resulting in the manifestation of metabolic diseases and, by extension, cardiovascular diseases. The scientific community must understand and elucidate these mechanisms in depth, to gain a better understanding of the relationship between atherosclerosis and the gut microbiome and to promote the development of new therapeutic targets in the coming years. This review aims to present the knowledge acquired so far, to trigger others to further investigate this intriguing topic.
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Affiliation(s)
- Marco Matteo Ciccone
- Cardiology Unit, Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (M.M.C.); (M.E.L.); (A.I.G.); (C.F.)
| | - Mario Erminio Lepera
- Cardiology Unit, Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (M.M.C.); (M.E.L.); (A.I.G.); (C.F.)
| | - Andrea Igoren Guaricci
- Cardiology Unit, Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (M.M.C.); (M.E.L.); (A.I.G.); (C.F.)
| | - Cinzia Forleo
- Cardiology Unit, Interdisciplinary Department of Medicine, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (M.M.C.); (M.E.L.); (A.I.G.); (C.F.)
| | - Concetta Cafiero
- Area of Molecular Pathology, Anatomic Pathology Unit, Fabrizio Spaziani Hospital, 03100 Frosinone, Italy;
| | - Marica Colella
- Interdisciplinary Department of Medicine, Section of Microbiology and Virology, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (M.C.); (L.S.)
| | - Raffele Palmirotta
- Interdisciplinary Department of Medicine, Section of Microbiology and Virology, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (M.C.); (L.S.)
| | - Luigi Santacroce
- Interdisciplinary Department of Medicine, Section of Microbiology and Virology, School of Medicine, University of Bari “Aldo Moro”, 70124 Bari, Italy; (M.C.); (L.S.)
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13
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Colletti A, Pellizzato M, Cicero AF. The Possible Role of Probiotic Supplementation in Inflammation: A Narrative Review. Microorganisms 2023; 11:2160. [PMID: 37764004 PMCID: PMC10535592 DOI: 10.3390/microorganisms11092160] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/01/2023] [Accepted: 08/17/2023] [Indexed: 09/29/2023] Open
Abstract
The fine balance between symbiotic and potentially opportunistic and/or pathogenic microorganisms can undergo quantitative alterations, which, when associated with low intestinal biodiversity, could be responsible for the development of gut inflammation and the so-called "intestinal dysbiosis". This condition is characterized by the disbalance of a fine synergistic mechanism involving the mucosal barrier, the intestinal neuroendocrine system, and the immune system that results in an acute inflammatory response induced by different causes, including viral or bacterial infections of the digestive tract. More frequently, however, dysbiosis is induced slowly and subtly by subliminal causal factors, resulting in a chronic condition related to different diseases affecting the digestive tract and other organs and apparatuses. Studies on animal models, together with studies on humans, highlight the significant role of the gut microbiota and microbiome in the occurrence of inflammatory conditions such as metabolic syndrome and cardiovascular diseases (CVDs); neurodegenerative, urologic, skin, liver, and kidney pathologies; and premature aging. The blood translocation of bacterial fragments has been found to be one of the processes linked to gut dysbiosis and responsible for the possible occurrence of "metabolic endotoxemia" and systemic inflammation, associated with an increased risk of oxidative stress and related diseases. In this context, supplementation with different probiotic strains has been shown to restore gut eubiosis, especially if administered in long-term treatments. The aim of this review is to describe the anti-inflammatory effects of specific probiotic strains observed in clinical trials and the respective indications, highlighting the differences in efficacy depending on strain, formulation, time and duration of treatment, and dosage used.
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Affiliation(s)
- Alessandro Colletti
- Department of Science and Drug Technology, University of Turin, 10124 Turin, Italy
- Italian Society of Nutraceutical Formulators (SIFNut), 31033 Treviso, Italy
| | - Marzia Pellizzato
- Italian Society of Nutraceutical Formulators (SIFNut), 31033 Treviso, Italy
| | - Arrigo Francesco Cicero
- Medical and Surgical Sciences Department, University of Bologna, 40126 Bologna, Italy;
- IRCCS AOUBO, 40138 Bologna, Italy
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14
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Zhang L, Yu F, Xia J. Trimethylamine N-oxide: role in cell senescence and age-related diseases. Eur J Nutr 2023; 62:525-541. [PMID: 36219234 DOI: 10.1007/s00394-022-03011-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/21/2022] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Hayflick and Moorhead first demonstrated cell senescence as the irreversible growth arrest of cells after prolonged cultivation. Telomere shortening and oxidative stress are the fundamental mechanisms that drive cell senescence. Increasing studies have shown that TMAO is closely associated with cellular aging and age-related diseases. An emerging body of evidence from animal models, especially mice, has identified that TMAO contributes to senescence from multiple pathways and appears to accelerate many neurodegenerative disorders such as Alzheimer's disease and Parkinson's disease. However, the specific mechanism of how TMAO speeds aging is still not completely clear. MATERIAL AND METHODS In this review, we summarize some key findings in TMAO, cell senescence, and age-related diseases. We focused particular attention on the potential mechanisms for clinical transformation to find ways to interfere with the aging process. CONCLUSION TMAO can accelerate cell senescence by causing mitochondrial damage, superoxide formation, and promoting the generation of pro-inflammatory factors.
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Affiliation(s)
- Lin Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.,Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Fang Yu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. .,Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, Hunan, China. .,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China.
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15
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Tacconi E, Palma G, De Biase D, Luciano A, Barbieri M, de Nigris F, Bruzzese F. Microbiota Effect on Trimethylamine N-Oxide Production: From Cancer to Fitness-A Practical Preventing Recommendation and Therapies. Nutrients 2023; 15:nu15030563. [PMID: 36771270 PMCID: PMC9920414 DOI: 10.3390/nu15030563] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 01/24/2023] Open
Abstract
Trimethylamine N-oxide (TMAO) is a microbial metabolite derived from nutrients, such as choline, L-carnitine, ergothioneine and betaine. Recently, it has come under the spotlight for its close interactions with gut microbiota and implications for gastrointestinal cancers, cardiovascular disease, and systemic inflammation. The culprits in the origin of these pathologies may be food sources, in particular, high fat meat, offal, egg yolk, whole dairy products, and fatty fish, but intercalated between these food sources and the production of pro-inflammatory TMAO, the composition of gut microbiota plays an important role in modulating this process. The aim of this review is to explain how the gut microbiota interacts with the conversion of specific compounds into TMA and its oxidation to TMAO. We will first cover the correlation between TMAO and various pathologies such as dysbiosis, then focus on cardiovascular disease, with a particular emphasis on pro-atherogenic factors, and then on systemic inflammation and gastrointestinal cancers. Finally, we will discuss primary prevention and therapies that are or may become possible. Possible treatments include modulation of the gut microbiota species with diets, physical activity and supplements, and administration of drugs, such as metformin and aspirin.
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Affiliation(s)
- Edoardo Tacconi
- Department of Human Science and Quality of Life Promotion, San Raffaele Roma Open University, 00166 Rome, Italy
| | - Giuseppe Palma
- S.S.D. Sperimentazione Animale, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
- Correspondence:
| | - Davide De Biase
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano, Italy
| | - Antonio Luciano
- S.S.D. Sperimentazione Animale, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
| | - Massimiliano Barbieri
- S.S.D. Sperimentazione Animale, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
| | - Filomena de Nigris
- Department of Precision Medicine, School of Medicine, Università degli Studi della Campania “Luigi Vanvitelli”, Via De Crecchio 7, 80138 Naples, Italy
| | - Francesca Bruzzese
- S.S.D. Sperimentazione Animale, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, 80131 Naples, Italy
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16
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Does the Composition of Gut Microbiota Affect Hypertension? Molecular Mechanisms Involved in Increasing Blood Pressure. Int J Mol Sci 2023; 24:ijms24021377. [PMID: 36674891 PMCID: PMC9863380 DOI: 10.3390/ijms24021377] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 12/29/2022] [Accepted: 01/09/2023] [Indexed: 01/13/2023] Open
Abstract
Arterial hypertension is a chronic disease which is very prevalent contemporarily. The aim of this review was to investigate the impact of gut microbiota on the development and potential treatment of hypertension, taking into consideration underlying molecular mechanisms. The bacteria present in the intestines have the ability to secrete different metabolites, which might play a significant role in the regulation of blood pressure. The most important include short-chain fatty acids (SCFAs), vasoactive hormones, trimethylamine (TMA) and trimethylamine N-oxide (TMAO) and uremic toxins, such as indoxyl sulfate (IS) and p-cresyl sulfate (PCS). Their action in regulating blood pressure is mainly based on their pro- or anti-inflammatory function. The use of specifically formulated probiotics to modify the composition of gut microbiota might be a beneficial way of supportive treatment of hypertension; however, further research on this topic is needed to choose the species of bacteria that could induce the hypotensive pattern.
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17
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Shimizu M, Yamamoto A, Makiguchi M, Shimamura E, Yokota Y, Harano M, Yamazaki H. A family study of compound variants of flavin-containing monooxygenase 3 (FMO3) in Japanese subjects found by urinary phenotyping for trimethylaminuria. Drug Metab Pharmacokinet 2023; 50:100490. [PMID: 36889044 DOI: 10.1016/j.dmpk.2023.100490] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/12/2022] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
Phenotype-gene analyses and the increasing availability of mega-databases have revealed the impaired human flavin-containing monooxygenase 3 (FMO3) variants associated with the metabolic disorder trimethylaminuria. In this study, a novel compound variant of FMO3, p.[(Val58Ile; Tyr229His)], was identified in a 1-year-old Japanese girl who had impaired FMO3 metabolic capacity (70%) in terms of urinary trimethylamine N-oxide excretion levels divided by total levels of trimethylamine and its N-oxide. One cousin in the family had the same p.[(Val58Ile); (Tyr229His)]; [(Glu158Lys; Glu308Gly)] FMO3 haplotype and had a similar FMO3 metabolic capacity (69%). In a family study, the novel p.[(Val58Ile); (Tyr229His)] compound FMO3 variant was also detected in the proband 1's mother and aunt. Another novel compound FMO3 variant p.[(Glu158Lys; Met260Lys; Glu308Gly; Ile426Thr)] was identified in a 7-year-old girl, proband 2. This novel compound FMO3 variant was inherited from her mother. Recombinant FMO3 Val58Ile; Tyr229His variant and Glu158Lys; Met260Lys; Glu308Gly; Ile426Thr variant showed moderately decreased capacities for trimethylamine N-oxygenation compared to wild-type FMO3. Analysis of trimethylaminuria phenotypes in family studies has revealed compound missense FMO3 variants that impair FMO3-mediated N-oxygenation in Japanese subjects; moreover, these variants could result in modified drug clearances.
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Affiliation(s)
- Makiko Shimizu
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, 194-8543, Japan
| | - Akane Yamamoto
- Kobe City Medical Center General Hospital, Kobe, Hyogo, 650-0047, Japan
| | - Miaki Makiguchi
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, 194-8543, Japan
| | - Erika Shimamura
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, 194-8543, Japan
| | - Yuka Yokota
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, 194-8543, Japan
| | - Mizuki Harano
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, 194-8543, Japan
| | - Hiroshi Yamazaki
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, 194-8543, Japan.
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18
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Yamazaki H, Shimizu M. Species Specificity and Selection of Models for Drug Oxidations Mediated by Polymorphic Human Enzymes. Drug Metab Dispos 2023; 51:123-129. [PMID: 35772770 DOI: 10.1124/dmd.121.000742] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 05/28/2022] [Accepted: 06/01/2022] [Indexed: 01/03/2023] Open
Abstract
Many drug oxygenations are mainly mediated by polymorphic cytochromes P450 (P450s) and also by flavin-containing monooxygenases (FMOs). More than 50 years of research on P450/FMO-mediated drug oxygenations have clarified their catalytic roles. The natural product coumarin causes hepatotoxicity in rats via the reactive coumarin 3,4-epoxide, a reaction catalyzed by P450 1A2; however, coumarin undergoes rapid 7-hydroxylation by polymorphic P450 2A6 in humans. The primary oxidation product of the teratogen thalidomide in rats is deactivated 5'-hydroxythalidomide plus sulfate and glucuronide conjugates; however, similar 5'-hydroxythalidomide and 5-hydroxythalidomide are formed in rabbits in vivo. Thalidomide causes human P450 3A enzyme induction in liver (and placenta) and is also activated in vitro and in vivo by P450 3A through the primary human metabolite 5-hydroxythalidomide (leading to conjugation with glutathione/nonspecific proteins). Species differences exist in terms of drug metabolism in rodents and humans, and such differences can be very important when determining the contributions of individual enzymes. The approaches used for investigating the roles of human P450 and FMO enzymes in understanding drug oxidations and clinical therapy have not yet reached maturity and still require further development. SIGNIFICANCE STATEMENT: Drug oxidations in animals and humans mediated by P450s and FMOs are important for understanding the pharmacological properties of drugs, such as the species-dependent teratogenicity of the reactive metabolites of thalidomide and the metabolism of food-derived odorous trimethylamine to non-odorous (but proatherogenic) trimethylamine N-oxide. Recognized differences exist in terms of drug metabolism between rodents, non-human primates, and humans, and such differences are important when determining individual liver enzyme contributions with substrates in in vitro and in vivo systems.
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Affiliation(s)
- Hiroshi Yamazaki
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, Japan
| | - Makiko Shimizu
- Laboratory of Drug Metabolism and Pharmacokinetics, Showa Pharmaceutical University, Machida, Tokyo, Japan
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19
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Xie F, Zhen X, Liu Z, Chen X, Liu Z, Zhou M, Zhou Z, Hu Z, Zhu F, Huang Q, Zhang L, Nie J. Dietary choline, via gut microbe- generated trimethylamine-N- oxide, aggravates chronic kidney disease-induced cardiac dysfunction by inhibiting hypoxia-induced factor 1α. Front Physiol 2022; 13:996166. [PMID: 36407000 PMCID: PMC9669413 DOI: 10.3389/fphys.2022.996166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 10/25/2022] [Indexed: 11/06/2022] Open
Abstract
Chronic kidney disease (CKD) is a global public health problem that shortens lifespan primarily by increasing the risk of cardiovascular diseases. Trimethylamine-N-oxide (TMAO), a gut microbiota-derived toxin produced by metabolizing high-choline or carnitine foods, is associated with cardiovascular events in patients with CKD. Although the deleterious effect of TMAO on CKD-induced cardiac injury has been confirmed by various researches, the mechanisms remain unclear. Here, we tested the hypothesis that TMAO aggravates CKD-induced cardiac injury and explores the potential mechanism. CD1 mice underwent 5/6 nephrectomy to induce CKD, and then fed with a diet supplemented with choline (1.2% total) for 8 weeks. Serum TMAO levels were elevated in CKD mice compared with SHAM group, and higher TMAO levels were found in choline-supplemented CKD mice compared with CKD group. Dietary choline aggravated CKD-induced cardiac dysfunction, and reducing TMAO levels via medicinal charcoal tablets improved cardiac dysfunction. RNA-seq analysis revealed that dietary choline affected cardiac angiogenesis in CKD mice. Reduced cardiac capillary density and expressions of angiogenesis-related genes were observed in choline-treated CKD mice. Furthermore, dietary choline inhibited cardiac Hif-1α protein level in CKD mice, and Hif-1α stabilizer FG-4592 could improve cardiac angiogenesis and dysfunction in CKD mice on a high-choline diet. In conclusion, these data indicate that dietary choline, via gut microbe-generated TMAO, inhibits cardiac angiogenesis by reducing Hif-1α protein level, ultimately aggravates cardiac dysfunction in CKD mice.
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Affiliation(s)
- Feifei Xie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xin Zhen
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Nephrology Division, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zhuoliang Liu
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xiaomei Chen
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhuanhua Liu
- Department of Pathophysiology, Guangdong Provincial Key Laboratory of Shock and Microcirculation, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Miaomiao Zhou
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhanmei Zhou
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zheng Hu
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Fengxin Zhu
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qiaobing Huang
- Department of Pathophysiology, Guangdong Provincial Key Laboratory of Shock and Microcirculation, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Lei Zhang
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- *Correspondence: Lei Zhang, ; Jing Nie,
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Key Laboratory of Organ Failure Research (Ministry of Education), Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, China
- *Correspondence: Lei Zhang, ; Jing Nie,
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20
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Xu M, Zheng J, Hou T, Lin H, Wang T, Wang S, Lu J, Zhao Z, Li M, Xu Y, Ning G, Bi Y, Wang W. SGLT2 Inhibition, Choline Metabolites, and Cardiometabolic Diseases: A Mediation Mendelian Randomization Study. Diabetes Care 2022; 45:2718-2728. [PMID: 36161993 PMCID: PMC9862376 DOI: 10.2337/dc22-0323] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 07/26/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To investigate the causal role of choline metabolites mediating sodium-glucose cotransporter 2 (SGLT2) inhibition in coronary artery disease (CAD) and type 2 diabetes (T2D) using Mendelian randomization (MR). RESEARCH DESIGN AND METHODS A two-sample two-step MR was used to determine 1) causal effects of SGLT2 inhibition on CAD and T2D; 2) causal effects of three choline metabolites, total choline, phosphatidylcholine, and glycine, on CAD and T2D; and 3) mediation effects of these metabolites. Genetic proxies for SGLT2 inhibition were identified as variants in the SLC5A2 gene that were associated with both levels of gene expression and hemoglobin A1c. Summary statistics for metabolites were from UK Biobank, CAD from CARDIoGRAMplusC4D (Coronary ARtery DIsease Genome wide Replication and Meta-analysis [CARDIoGRAM] plus The Coronary Artery Disease [C4D] Genetics) consortium, and T2D from DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) and the FinnGen study. RESULTS SGLT2 inhibition (per 1 SD, 6.75 mmol/mol [1.09%] lowering of HbA1c) was associated with lower risk of T2D and CAD (odds ratio [OR] 0.25 [95% CI 0.12, 0.54], and 0.51 [0.28, 0.94], respectively) and positively with total choline (β 0.39 [95% CI 0.06, 0.72]), phosphatidylcholine (0.40 [0.13, 0.67]), and glycine (0.34 [0.05, 0.63]). Total choline (OR 0.78 [95% CI 0.68, 0.89]) and phosphatidylcholine (OR 0.81 [0.72, 0.91]) were associated with T2D but not with CAD, while glycine was associated with CAD (0.94 [0.91, 0.98]) but not with T2D. Mediation analysis showed evidence of indirect effect of SGLT2 inhibition on T2D through total choline (0.91 [0.83, 0.99]) and phosphatidylcholine (0.93 [0.87, 0.99]) with a mediated proportion of 8% and 5% of the total effect, respectively, and on CAD through glycine (0.98 [0.96, 1.00]) with a mediated proportion of 2%. The results were well validated in at least one independent data set. CONCLUSIONS Our study identified the causal roles of SGLT2 inhibition in choline metabolites. SGLT2 inhibition may influence T2D and CAD through different choline metabolites.
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Affiliation(s)
- Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Tianzhichao Hou
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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21
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Márquez-Sánchez AC, Koltsova EK. Immune and inflammatory mechanisms of abdominal aortic aneurysm. Front Immunol 2022; 13:989933. [PMID: 36275758 PMCID: PMC9583679 DOI: 10.3389/fimmu.2022.989933] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
Abdominal aortic aneurysm (AAA) is a life-threatening cardiovascular disease. Immune-mediated infiltration and a destruction of the aortic wall during AAA development plays significant role in the pathogenesis of this disease. While various immune cells had been found in AAA, the mechanisms of their activation and function are still far from being understood. A better understanding of mechanisms regulating the development of aberrant immune cell activation in AAA is essential for the development of novel preventive and therapeutic approaches. In this review we summarize current knowledge about the role of immune cells in AAA and discuss how pathogenic immune cell activation is regulated in this disease.
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22
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Further survey of genetic variants of flavin-containing monooxygenase 3 (FMO3) in Japanese subjects found in an updated database of genome resources and identified by phenotyping for trimethylaminuria. Drug Metab Pharmacokinet 2022; 46:100465. [DOI: 10.1016/j.dmpk.2022.100465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 06/07/2022] [Accepted: 06/21/2022] [Indexed: 11/20/2022]
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23
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Association between Plasma Trimethylamine N-Oxide Levels and Type 2 Diabetes: A Case Control Study. Nutrients 2022; 14:nu14102093. [PMID: 35631234 PMCID: PMC9148165 DOI: 10.3390/nu14102093] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/13/2022] [Accepted: 05/16/2022] [Indexed: 02/06/2023] Open
Abstract
Animal and human studies have reported conflicting results on the relationship between circulating trimethylamine N-oxide (TMAO) levels and risk of Type 2 diabetes (T2D). This study aimed to compare plasma TMAO levels in people with or without T2D and explore the association of TMAO and T2D. A prospective case-control study of 297 participants, 164 healthy controls and 133 patients with T2D, was conducted. TMAO levels were quantified by UPLC-MS/MS. Comorbidities, dietary patterns, physical activity, and blood biomarkers were assessed. Median (IQR) plasma TMAO levels were significantly higher in diabetes cases (4.95 (2.84−8.35) µmol/L) compared to healthy controls (3.07 (2.05−4.82) µmol/L) (p < 0.001). The association between TMAO and T2D was significant in the non-adjusted Model 1 (p < 0.001) and after adjusting for confounders of diabetes including age, BMI, and level of education in Model 2 (p = 0.04). When the association was further adjusted for physical activity and diet in Model 3, plasma TMAO levels at only the highest quartile (>6.40 µmol/L) were associated with the risk of diabetes (OR = 3.36, 95% CI [1.26, 9.04], p = 0.02). The results presented suggest an association between plasma TMAO levels and T2D. A significant correlation was found between red meat consumption and increased levels of TMAO in T2D patients. A longitudinal study is warranted to further evaluate the correlation between TMAO and T2D.
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24
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Chan Q, Wren GM, Lau CHE, Ebbels TMD, Gibson R, Loo RL, Aljuraiban GS, Posma JM, Dyer AR, Steffen LM, Rodriguez BL, Appel LJ, Daviglus ML, Elliott P, Stamler J, Holmes E, Van Horn L. Blood pressure interactions with the DASH dietary pattern, sodium, and potassium: The International Study of Macro-/Micronutrients and Blood Pressure (INTERMAP). Am J Clin Nutr 2022; 116:216-229. [PMID: 35285859 PMCID: PMC9257466 DOI: 10.1093/ajcn/nqac067] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 03/09/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet enhances potassium intake and reduces sodium intake and blood pressure (BP), but the underlying metabolic pathways are unclear. OBJECTIVES Among free-living populations, we delineated metabolic signatures associated with the DASH diet adherence, 24-hour urinary sodium and potassium excretions, and the potential metabolic pathways involved. METHODS We used 24-hour urinary metabolic profiling by proton nuclear magnetic resonance spectroscopy to characterize the metabolic signatures associated with the DASH dietary pattern score (DASH score) and 24-hour excretion of sodium and potassium among participants in the United States (n = 2164) and United Kingdom (n = 496) enrolled in the International Study of Macro- and Micronutrients and Blood Pressure (INTERMAP). Multiple linear regression and cross-tabulation analyses were used to investigate the DASH-BP relation and its modulation by sodium and potassium. Potential pathways associated with DASH adherence, sodium and potassium excretion, and BP were identified using mediation analyses and metabolic reaction networks. RESULTS Adherence to the DASH diet was associated with urinary potassium excretion (correlation coefficient, r = 0.42; P < 0.0001). In multivariable regression analyses, a 5-point higher DASH score (range, 7 to 35) was associated with a lower systolic BP by 1.35 mmHg (95% CI, -1.95 to -0.80 mmHg; P = 1.2 × 10-5); control of the model for potassium but not sodium attenuated the DASH-BP relation. Two common metabolites (hippurate and citrate) mediated the potassium-BP and DASH-BP relationships, while 5 metabolites (succinate, alanine, S-methyl cysteine sulfoxide, 4-hydroxyhippurate, and phenylacetylglutamine) were found to be specific to the DASH-BP relation. CONCLUSIONS Greater adherence to the DASH diet is associated with lower BP and higher potassium intake across levels of sodium intake. The DASH diet recommends greater intake of fruits, vegetables, and other potassium-rich foods that may replace sodium-rich processed foods and thereby influence BP through overlapping metabolic pathways. Possible DASH-specific pathways are speculated but confirmation requires further study. INTERMAP is registered as NCT00005271 at www.clinicaltrials.gov.
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Affiliation(s)
| | - Gina M Wren
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Chung-Ho E Lau
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom,Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Timothy M D Ebbels
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Rachel Gibson
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom,Department of Nutritional Sciences, King's College London, London, United Kingdom
| | - Ruey Leng Loo
- Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Ghadeer S Aljuraiban
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia
| | - Joram M Posma
- Section of Bioinformatics, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - Alan R Dyer
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Lyn M Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Beatriz L Rodriguez
- Department of Geriatric Medicine, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Lawrence J Appel
- Welch Center for Prevention, Epidemiology and Clinical Research; Johns Hopkins University, Baltimore, MD, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Jeremiah Stamler
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Elaine Holmes
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom,Australian National Phenome Centre and Centre for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia
| | - Linda Van Horn
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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25
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Haworth JJ, Pitcher CK, Ferrandino G, Hobson AR, Pappan KL, Lawson JLD. Breathing new life into clinical testing and diagnostics: perspectives on volatile biomarkers from breath. Crit Rev Clin Lab Sci 2022; 59:353-372. [PMID: 35188863 DOI: 10.1080/10408363.2022.2038075] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Human breath offers several benefits for diagnostic applications, including simple, noninvasive collection. Breath is a rich source of clinically-relevant biological information; this includes a volatile fraction, where greater than 1,000 volatile organic compounds (VOCs) have been described so far, and breath aerosols that carry nucleic acids, proteins, signaling molecules, and pathogens. Many of these factors, especially VOCs, are delivered to the lung by the systemic circulation, and diffusion of candidate biomarkers from blood into breath allows systematic profiling of organismal health. Biomarkers on breath offer the capability to advance early detection and precision medicine in areas of global clinical need. Breath tests are noninvasive and can be performed at home or in a primary care setting, which makes them well-suited for the kind of public screening program that could dramatically improve the early detection of conditions such as lung cancer. Since measurements of VOCs on breath largely report on metabolic changes, this too aids in the early detection of a broader range of illnesses and can be used to detect metabolic shifts that could be targeted through precision medicine. Furthermore, the ability to perform frequent sampling has envisioned applications in monitoring treatment responses. Breath has been investigated in respiratory, liver, gut, and neurological diseases and in contexts as diverse as infectious diseases and cancer. Preclinical research studies using breath have been ongoing for some time, yet only a few breath-based diagnostics tests are currently available and in widespread clinical use. Most recently, tests assessing the gut microbiome using hydrogen and methane on breath, in addition to tests using urea to detect Helicobacter pylori infections have been released, yet there are many more applications of breath tests still to be realized. Here, we discuss the strengths of breath as a clinical sampling matrix and the technical challenges to be addressed in developing it for clinical use. Historically, a lack of standardized methodologies has delayed the discovery and validation of biomarker candidates, resulting in a proliferation of early-stage pilot studies. We will explore how advancements in breath collection and analysis are in the process of driving renewed progress in the field, particularly in the context of gastrointestinal and chronic liver disease. Finally, we will provide a forward-looking outlook for developing the next generation of clinically relevant breath tests and how they may emerge into clinical practice.
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26
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Golzarand M, Mirmiran P, Azizi F. Association between dietary choline and betaine intake and 10.6-year cardiovascular disease in adults. Nutr J 2022; 21:1. [PMID: 34986852 PMCID: PMC8728923 DOI: 10.1186/s12937-021-00755-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 12/09/2021] [Indexed: 01/12/2023] Open
Abstract
Background Several studies have assessed the association between dietary choline and betaine and cardiovascular disease (CVD), but their results are inconsistent. The present study aimed to determine the association between dietary intake of choline and betaine and the risk of CVD in the general population over a 10.6-year period of follow-up. Methods The present cohort study was conducted on participants in the third wave of the Tehran Lipid and Glucose Study (2006–2008) and was followed-up until March 2018. Dietary intake of choline and betaine was calculated using the United States Department of Agriculture (USDA) database. Patients’ medical records were used to collect data on CVD. Results In this study, 2606 subjects with no previous CVD participated and were followed-up for a median of 10.6 years. During the follow-up periods, 187 incidences of CVD were detected. Results of the Cox proportional hazards regression indicated that neither energy-adjusted total choline nor betaine was associated with the incidence of CVD. Among individual choline forms, only higher intake of free choline (FC) was associated with a lower risk of CVD (HR: 0.64, 95% CI: 0.42–0.98). There was no significant association between each 10 mg/d increase in choline and betaine content of each food category and CVD. Conclusion Our investigation indicates no association between energy-adjusted total choline and betaine and a 10.6-year risk of CVD among adults. Besides, we found no relationship between individual choline forms (except FC) and CVD. We also found energy-adjusted choline and betaine obtained from food categories were not associated with the risk of CVD.
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Affiliation(s)
- Mahdieh Golzarand
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. .,Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, No. 7, Shahid Hafezi St., Farahzadi Blvd., Shahrak-e-qods, Tehran, 1981619573, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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27
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Krishnan S, Gertz ER, Adams SH, Newman JW, Pedersen TL, Keim NL, Bennett BJ. Effects of a diet based on the Dietary Guidelines on vascular health and TMAO in women with cardiometabolic risk factors. Nutr Metab Cardiovasc Dis 2022; 32:210-219. [PMID: 34895998 PMCID: PMC8798222 DOI: 10.1016/j.numecd.2021.09.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 09/03/2021] [Accepted: 09/08/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Recent evidence links trimethylamine oxide (TMAO) to endothelial dysfunction, an early indicator of cardiovascular disease. We aimed to determine whether short-term consumption of a diet patterned after the 2010 Dietary Guidelines for Americans (DGA) would affect endothelial function, plasma TMAO concentrations, and cardiovascular disease risk, differently than a typical American Diet (TAD). METHODS AND RESULTS An 8-wk controlled feeding trial was conducted in overweight/obese women pre-screened for insulin resistance and/or dyslipidemia. Women were randomized to a DGA or TAD group (n = 22/group). At wk0 (pre-intervention) and wk8 (post-intervention) vascular age was calculated; endothelial function (reactive hyperemia index (RHI)) and augmentation index (AI@75) were measured using EndoPAT, and plasma TMAO was measured by LC-MS/MS. Vascular age was reduced in DGA at wk8 compared to wk0 but TAD wk8 was not different from wk0 (DGA wk0: 54.2 ± 4.0 vs. wk8: 50.5 ± 3.1 (p = 0.05), vs. TAD wk8: 47.7 ± 2.3). Plasma TMAO concentrations, RHI, and AI@75 were not different between groups or weeks. CONCLUSION Consumption of a diet based on the 2010 Dietary Guidelines for Americans for 8 weeks did not improve endothelial function or reduce plasma TMAO. CLINICALTRIALS.GOV: NCT02298725.
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Affiliation(s)
- Sridevi Krishnan
- USDA-Western Human Nutrition Research Center, Davis, CA, USA; Department of Nutrition, University of California-Davis, Davis, CA, USA
| | - Erik R Gertz
- USDA-Western Human Nutrition Research Center, Davis, CA, USA
| | - Sean H Adams
- Department of Surgery, University of California Davis School of Medicine, Sacramento, CA, USA; Center for Alimentary and Metabolic Science, University of California Davis School of Medicine, Sacramento, CA, USA
| | - John W Newman
- USDA-Western Human Nutrition Research Center, Davis, CA, USA; Department of Nutrition, University of California-Davis, Davis, CA, USA
| | - Theresa L Pedersen
- Department of Food Science and Technology, University of California-Davis, Davis, CA, USA
| | - Nancy L Keim
- USDA-Western Human Nutrition Research Center, Davis, CA, USA; Department of Nutrition, University of California-Davis, Davis, CA, USA
| | - Brian J Bennett
- USDA-Western Human Nutrition Research Center, Davis, CA, USA; Department of Nutrition, University of California-Davis, Davis, CA, USA.
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28
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Iglesias-Carres L, Neilson AP. Utilizing preclinical models of genetic diversity to improve translation of phytochemical activities from rodents to humans and inform personalized nutrition. Food Funct 2021; 12:11077-11105. [PMID: 34672309 DOI: 10.1039/d1fo02782d] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Mouse models are an essential tool in different areas of research, including nutrition and phytochemical research. Traditional inbred mouse models have allowed the discovery of therapeutical targets and mechanisms of action and expanded our knowledge of health and disease. However, these models lack the genetic variability typically found in human populations, which hinders the translatability of the results found in mice to humans. The development of genetically diverse mouse models, such as the collaborative cross (CC) or the diversity outbred (DO) models, has been a useful tool to overcome this obstacle in many fields, such as cancer, immunology and toxicology. However, these tools have not yet been widely adopted in the field of phytochemical research. As demonstrated in other disciplines, use of CC and DO models has the potential to provide invaluable insights for translation of phytochemicals from rodents to humans, which are desperately needed given the challenges and numerous failed clinical trials in this field. These models may prove informative for personalized use of phytochemicals in humans, including: predicting interindividual variability in phytochemical bioavailability and efficacy, identifying genetic loci or genes governing response to phytochemicals, identifying phytochemical mechanisms of action and therapeutic targets, and understanding the impact of genetic variability on individual response to phytochemicals. Such insights would prove invaluable for personalized implementation of phytochemicals in humans. This review will focus on the current work performed with genetically diverse mouse populations, and the research opportunities and advantages that these models can offer to phytochemical research.
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Affiliation(s)
- Lisard Iglesias-Carres
- Plants for Human Health Institute, Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC, USA.
| | - Andrew P Neilson
- Plants for Human Health Institute, Department of Food, Bioprocessing and Nutrition Sciences, North Carolina State University, Kannapolis, NC, USA.
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29
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Ringel C, Dittrich J, Gaudl A, Schellong P, Beuchel CF, Baber R, Beutner F, Teren A, Engel C, Wirkner K, Thiele H, Büttner P, Löffler M, Scholz M, Thiery J, Ceglarek U. Association of plasma trimethylamine N-oxide levels with atherosclerotic cardiovascular disease and factors of the metabolic syndrome. Atherosclerosis 2021; 335:62-67. [PMID: 34583200 DOI: 10.1016/j.atherosclerosis.2021.09.026] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 09/22/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND AIMS The association of plasma trimethylamine N-oxide (TMAO) with atherosclerotic cardiovascular disease (ASCVD), diabetes mellitus (DM) and its determinants, as well as the role of TMAO as a predictor for short and long-term mortality, is still under discussion. We investigated associations between four plasma metabolites of the TMAO pathway and different clinical manifestations of atherosclerosis, diabetes determinants, and risk of short and long-term mortality in patients with stable ASCVD, acute myocardial infarction (AMI), cardiogenic shock (CS), and DM in three independent cohorts. METHODS TMAO and its dietary precursors were simultaneously quantified by liquid chromatography-tandem mass spectrometry in a total of 2655 participants of the German Leipzig Research Center for Civilization Diseases (LIFE)-Heart study, LIFE-Adult study, and the European Culprit Lesion Only PCI versus Multivessel PCI in Cardiogenic Shock (CULPRIT-SHOCK) multicenter trial. Associations with ASCVD manifestations, metabolic syndrome, 30-day mortality of patients with AMI and CS, and long-term mortality of subjects with suspected coronary artery disease (CAD) were analyzed. RESULTS TMAO plasma levels were not independently associated with stable ASCVD. Elevated TMAO plasma concentrations were independently associated with obesity (odds ratio, 1.23; p < 0.01) and DM (odds ratio, 1.37; p < 0.001) in LIFE-Heart. The latter association was confirmed in LIFE-Adult. We found no association of TMAO plasma levels with short-term mortality in patients with AMI and CS. However, TMAO plasma levels were independent predictors of long-term mortality in patients with suspected CAD (hazard ratio, 1.24; p < 0.05). CONCLUSIONS Potential proatherogenic mechanisms of TMAO seem to have no short-term effect in AMI. Presented associations with diabetes mellitus and obesity suggest that TMAO might have a functional role in metabolic syndrome.
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Affiliation(s)
- Clemens Ringel
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Paul-List-Str. 13-15, 04103, Leipzig, Germany
| | - Julia Dittrich
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Paul-List-Str. 13-15, 04103, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Alexander Gaudl
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Paul-List-Str. 13-15, 04103, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Paul Schellong
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Paul-List-Str. 13-15, 04103, Leipzig, Germany
| | - Carl Friedrich Beuchel
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Haertelstr. 16-18, 04107, Leipzig, Germany
| | - Ronny Baber
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Paul-List-Str. 13-15, 04103, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Frank Beutner
- Department of Internal Medicine / Cardiology, Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Andrej Teren
- Department of Internal Medicine / Cardiology, Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Christoph Engel
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Haertelstr. 16-18, 04107, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Kerstin Wirkner
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Haertelstr. 16-18, 04107, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Holger Thiele
- Department of Internal Medicine / Cardiology, Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | - Petra Büttner
- Department of Internal Medicine / Cardiology, Heart Center Leipzig at University of Leipzig, Struempellstr. 39, 04289, Leipzig, Germany
| | - Markus Löffler
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Haertelstr. 16-18, 04107, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, Leipzig University, Haertelstr. 16-18, 04107, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Joachim Thiery
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Paul-List-Str. 13-15, 04103, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany
| | - Uta Ceglarek
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Paul-List-Str. 13-15, 04103, Leipzig, Germany; LIFE - Leipzig Research Center for Civilization Diseases, Leipzig University, Philipp-Rosenthal-Str. 27, 04103, Leipzig, Germany.
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30
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Doran S, Arif M, Lam S, Bayraktar A, Turkez H, Uhlen M, Boren J, Mardinoglu A. Multi-omics approaches for revealing the complexity of cardiovascular disease. Brief Bioinform 2021; 22:bbab061. [PMID: 33725119 PMCID: PMC8425417 DOI: 10.1093/bib/bbab061] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/20/2021] [Accepted: 02/05/2021] [Indexed: 02/06/2023] Open
Abstract
The development and progression of cardiovascular disease (CVD) can mainly be attributed to the narrowing of blood vessels caused by atherosclerosis and thrombosis, which induces organ damage that will result in end-organ dysfunction characterized by events such as myocardial infarction or stroke. It is also essential to consider other contributory factors to CVD, including cardiac remodelling caused by cardiomyopathies and co-morbidities with other diseases such as chronic kidney disease. Besides, there is a growing amount of evidence linking the gut microbiota to CVD through several metabolic pathways. Hence, it is of utmost importance to decipher the underlying molecular mechanisms associated with these disease states to elucidate the development and progression of CVD. A wide array of systems biology approaches incorporating multi-omics data have emerged as an invaluable tool in establishing alterations in specific cell types and identifying modifications in signalling events that promote disease development. Here, we review recent studies that apply multi-omics approaches to further understand the underlying causes of CVD and provide possible treatment strategies by identifying novel drug targets and biomarkers. We also discuss very recent advances in gut microbiota research with an emphasis on how diet and microbial composition can impact the development of CVD. Finally, we present various biological network analyses and other independent studies that have been employed for providing mechanistic explanation and developing treatment strategies for end-stage CVD, namely myocardial infarction and stroke.
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Affiliation(s)
- Stephen Doran
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
| | - Muhammad Arif
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Simon Lam
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
| | - Abdulahad Bayraktar
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
| | - Hasan Turkez
- Department of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, Turkey
| | - Mathias Uhlen
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Jan Boren
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital Gothenburg, Sweden
| | - Adil Mardinoglu
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
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31
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Zeng Y, Guo M, Fang X, Teng F, Tan X, Li X, Wang M, Long Y, Xu Y. Gut Microbiota-Derived Trimethylamine N-Oxide and Kidney Function: A Systematic Review and Meta-Analysis. Adv Nutr 2021; 12:1286-1304. [PMID: 33751019 PMCID: PMC8321840 DOI: 10.1093/advances/nmab010] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/11/2020] [Accepted: 01/19/2021] [Indexed: 12/15/2022] Open
Abstract
Elevated circulating trimethylamine N-oxide (TMAO) concentrations have been observed in patients with chronic kidney disease (CKD). We aimed to systematically estimate and quantify the association between TMAO concentrations and kidney function. The PubMed, EMBASE, Cochrane Library, Scopus, and Web of Science databases were systematically searched from 1995 to 1 June, 2020, for clinical studies on circulating TMAO concentrations and kidney function indicators. We used R software to conduct meta-analyses of the extracted data. A cumulative meta-analysis was applied to test whether health status affected the pooled effect value. Meta-regression and subgroup analyses were performed to identify possible sources of heterogeneity. Ultimately, we included a total of 32 eligible clinical studies involving 42,062 participants. In meta-analyses of continuous-outcome variables, advanced CKD was associated with a 67.9 μmol/L (95% CI: 52.7, 83.2; P < 0.01) increase in TMAO concentration, and subjects with high concentrations of TMAO had a 12.9 mL/(min·1.73 m2) (95% CI: -16.6, -9.14; P < 0.01) decrease in glomerular filtration rate (GFR). In meta-analyses of the correlations, TMAO was strongly inversely correlated with GFR [Fisher's z-transformed correlation coefficient (ZCOR): -0.45; 95% CI: -0.58, -0.32; P < 0.01] and positively associated with the urine albumin-to-creatinine ratio (UACR; ZCOR: 0.26; 95% CI: 0.08, 0.43; P < 0.01), serum creatinine (sCr; ZCOR: 0.43; 95% CI: 0.28, 0.58; P < 0.01), urine albumin excretion rate (UAER; ZCOR: 0.06; 95% CI: 0.04, 0.09; P < 0.01), blood urea (ZCOR: 0.50; 95% CI: 0.29, 0.72; P < 0.01), blood uric acid (ZCOR: 0.32; 95% CI: 0.25, 0.38; P < 0.01), and serum cystatin C (CysC; ZCOR: 0.47, 95% CI: 0.44, 0.51; P < 0.01). This is the first systematic review and meta-analysis to reveal a negative association between circulating TMAO concentrations and kidney function.
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Affiliation(s)
- Yan Zeng
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Man Guo
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Xia Fang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Fangyuan Teng
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Xiaozhen Tan
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Xinyue Li
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Mei Wang
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yang Long
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Experimental Medicine Center, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - Yong Xu
- Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Luzhou Key Laboratory of Cardiovascular and Metabolic Diseases, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Sichuan Clinical Research Center for Nephropathy, the Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
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32
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Hartiala JA, Han Y, Jia Q, Hilser JR, Huang P, Gukasyan J, Schwartzman WS, Cai Z, Biswas S, Trégouët DA, Smith NL, Seldin M, Pan C, Mehrabian M, Lusis AJ, Bazeley P, Sun YV, Liu C, Quyyumi AA, Scholz M, Thiery J, Delgado GE, Kleber ME, März W, Howe LJ, Asselbergs FW, van Vugt M, Vlachojannis GJ, Patel RS, Lyytikäinen LP, Kähönen M, Lehtimäki T, Nieminen TVM, Kuukasjärvi P, Laurikka JO, Chang X, Heng CK, Jiang R, Kraus WE, Hauser ER, Ferguson JF, Reilly MP, Ito K, Koyama S, Kamatani Y, Komuro I, Stolze LK, Romanoski CE, Khan MD, Turner AW, Miller CL, Aherrahrou R, Civelek M, Ma L, Björkegren JLM, Kumar SR, Tang WHW, Hazen SL, Allayee H. Genome-wide analysis identifies novel susceptibility loci for myocardial infarction. Eur Heart J 2021; 42:919-933. [PMID: 33532862 DOI: 10.1093/eurheartj/ehaa1040] [Citation(s) in RCA: 108] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 09/18/2020] [Accepted: 12/07/2020] [Indexed: 12/27/2022] Open
Abstract
AIMS While most patients with myocardial infarction (MI) have underlying coronary atherosclerosis, not all patients with coronary artery disease (CAD) develop MI. We sought to address the hypothesis that some of the genetic factors which establish atherosclerosis may be distinct from those that predispose to vulnerable plaques and thrombus formation. METHODS AND RESULTS We carried out a genome-wide association study for MI in the UK Biobank (n∼472 000), followed by a meta-analysis with summary statistics from the CARDIoGRAMplusC4D Consortium (n∼167 000). Multiple independent replication analyses and functional approaches were used to prioritize loci and evaluate positional candidate genes. Eight novel regions were identified for MI at the genome wide significance level, of which effect sizes at six loci were more robust for MI than for CAD without the presence of MI. Confirmatory evidence for association of a locus on chromosome 1p21.3 harbouring choline-like transporter 3 (SLC44A3) with MI in the context of CAD, but not with coronary atherosclerosis itself, was obtained in Biobank Japan (n∼165 000) and 16 independent angiography-based cohorts (n∼27 000). Follow-up analyses did not reveal association of the SLC44A3 locus with CAD risk factors, biomarkers of coagulation, other thrombotic diseases, or plasma levels of a broad array of metabolites, including choline, trimethylamine N-oxide, and betaine. However, aortic expression of SLC44A3 was increased in carriers of the MI risk allele at chromosome 1p21.3, increased in ischaemic (vs. non-diseased) coronary arteries, up-regulated in human aortic endothelial cells treated with interleukin-1β (vs. vehicle), and associated with smooth muscle cell migration in vitro. CONCLUSIONS A large-scale analysis comprising ∼831 000 subjects revealed novel genetic determinants of MI and implicated SLC44A3 in the pathophysiology of vulnerable plaques.
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Affiliation(s)
- Jaana A Hartiala
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA
| | - Yi Han
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Qiong Jia
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - James R Hilser
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Pin Huang
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Janet Gukasyan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - William S Schwartzman
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Zhiheng Cai
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Subarna Biswas
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA
| | - David-Alexandre Trégouët
- Institut National pour la Santé et la Recherche Médicale (INSERM) UMR_S 1219, Bordeaux Population Health Research Center, University of Bordeaux, 33076 Bordeaux, France
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA 98101, USA.,Department of Veterans Affairs, Seattle Epidemiologic Research and Information Center, Office of Research and Development, Seattle, WA 98108, USA.,Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA 98101, USA
| | | | | | | | - Marcus Seldin
- Department of Biological Chemistry and Center for Epigenetics and Metabolism, UC Irvine School of Medicine, Irvine, CA 92697, USA
| | - Calvin Pan
- Department of Human Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095, USA
| | - Margarete Mehrabian
- Department of Medicine, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095, USA
| | - Aldons J Lusis
- Department of Human Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095, USA.,Department of Medicine, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095, USA.,Department of Microbiology, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, CA 90095, USA
| | - Peter Bazeley
- Center for Clinical Genomics, Cleveland Clinic, Cleveland, OH 44195, USA.,Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA.,Department of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Yan V Sun
- Department of Epidemiology, Emory University Rollins School of Public Health, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA.,Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Chang Liu
- Department of Epidemiology, Emory University Rollins School of Public Health, 1518 Clifton Rd. NE, Atlanta, GA 30322, USA.,Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, 1462 Clifton Rd NE, Suite # 507, Atlanta, GA 30322, USA
| | - Arshed A Quyyumi
- Division of Cardiology, Department of Medicine, Emory Clinical Cardiovascular Research Institute, Emory University School of Medicine, 1462 Clifton Rd NE, Suite # 507, Atlanta, GA 30322, USA
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, 04107 Leipzig, Germany.,LIFE Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany
| | - Joachim Thiery
- LIFE Research Center for Civilization Diseases, University of Leipzig, 04103 Leipzig, Germany.,Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital, 04103 Leipzig, Germany
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany.,SYNLAB Academy, SYNLAB Holding Deutschland GmbH, 86156 Augsburg, Germany.,Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria
| | - Laurence J Howe
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London WC1E 6HX, UK
| | - Folkert W Asselbergs
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London WC1E 6HX, UK.,Health Data Research UK and Institute of Health Informatics, University College London, London NW1 2DA, UK.,Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands
| | - Marion van Vugt
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands
| | - Georgios J Vlachojannis
- Division Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands
| | - Riyaz S Patel
- Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London WC1E 6HX, UK.,Bart's Heart Centre, St Bartholomew's Hospital, London EC1A 2DA, UK
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland.,Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland.,Department of Cardiology, Heart Center, Tampere University Hospital, Tampere 33521, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere 33521, Finland.,Department of Clinical Physiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland.,Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Tuomo V M Nieminen
- Department of Internal Medicine, Päijät-Häme Central Hospital, Lahti 15850, Finland
| | - Pekka Kuukasjärvi
- Department of Cardio-Thoracic Surgery, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland
| | - Jari O Laurikka
- Department of Cardio-Thoracic Surgery, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33014, Finland.,Department of Cardio-Thoracic Surgery, Heart Center, Tampere University Hospital, Tampere 33521, Finland
| | - Xuling Chang
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore 119074, Singapore
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore 119074, Singapore
| | - Rong Jiang
- Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine Durham, NC 27710, USA
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine Durham, NC 27710, USA.,Department of Medicine, Duke University School of Medicine Durham, NC 27710, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute, Duke University School of Medicine Durham, NC 27710, USA.,Department of Biostatistics & Bioinformatics, Duke University School of Medicine Durham, NC 27710, USA
| | - Jane F Ferguson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Muredach P Reilly
- Cardiometabolic Genomics Program, Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.,Irving Institute for Clinical and Translational Research, Columbia University, New York, NY 10032, USA
| | - Kaoru Ito
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan
| | - Satoshi Koyama
- Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa 230-0045, Japan.,Human Disease Genomics, Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto 606-8501, Japan.,Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo 108-0071, Japan
| | - Issei Komuro
- Department of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Lindsey K Stolze
- Department of Cellular and Molecular Medicine, University of Arizona College of Medicine, Tucson, AZ 85721, USA
| | - Casey E Romanoski
- Department of Cellular and Molecular Medicine, University of Arizona College of Medicine, Tucson, AZ 85721, USA
| | - Mohammad Daud Khan
- Center for Public Health Genomics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biomedical Engineering, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Public Health Sciences, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA
| | - Adam W Turner
- Center for Public Health Genomics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biomedical Engineering, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Public Health Sciences, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA
| | - Clint L Miller
- Center for Public Health Genomics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biomedical Engineering, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Public Health Sciences, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA
| | - Redouane Aherrahrou
- Center for Public Health Genomics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biomedical Engineering, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA
| | - Mete Civelek
- Center for Public Health Genomics, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA.,Department of Biomedical Engineering, University of Virginia, Charlottesville University of Virginia, Charlottesville, VA 22904, USA
| | - Lijiang Ma
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Johan L M Björkegren
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Integrated Cardio Metabolic Centre, Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, 141 57 Huddinge, Sweden
| | - S Ram Kumar
- Department of Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - W H Wilson Tang
- Center for Clinical Genomics, Cleveland Clinic, Cleveland, OH 44195, USA.,Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA.,Department of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Stanley L Hazen
- Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA.,Department of Cardiovascular & Metabolic Sciences, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Hooman Allayee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 2250 Alcazar Street, CSC202, Los Angeles, CA 90033, USA.,Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
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Kim M, Huda MN, O'Connor A, Albright J, Durbin-Johnson B, Bennett BJ. Hepatic transcriptional profile reveals the role of diet and genetic backgrounds on metabolic traits in female progenitor strains of the Collaborative Cross. Physiol Genomics 2021; 53:173-192. [PMID: 33818129 PMCID: PMC8424536 DOI: 10.1152/physiolgenomics.00140.2020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 03/23/2021] [Accepted: 03/26/2021] [Indexed: 12/28/2022] Open
Abstract
Mice have provided critical mechanistic understandings of clinical traits underlying metabolic syndrome (MetSyn) and susceptibility to MetSyn in mice is known to vary among inbred strains. We investigated the diet- and strain-dependent effects on metabolic traits in the eight Collaborative Cross (CC) founder strains (A/J, C57BL/6J, 129S1/SvImJ, NOD/ShiLtJ, NZO/HILtJ, CAST/EiJ, PWK/PhJ, and WSB/EiJ). Liver transcriptomics analysis showed that both atherogenic diet and host genetics have profound effects on the liver transcriptome, which may be related to differences in metabolic traits observed between strains. We found strain differences in circulating trimethylamine N-oxide (TMAO) concentration and liver triglyceride content, both of which are traits associated with metabolic diseases. Using a network approach, we identified a module of transcripts associated with TMAO and liver triglyceride content, which was enriched in functional pathways. Interrogation of the module related to metabolic traits identified NADPH oxidase 4 (Nox4), a gene for a key enzyme in the production of reactive oxygen species, which showed a strong association with plasma TMAO and liver triglyceride. Interestingly, Nox4 was identified as the highest expressed in the C57BL/6J and NZO/HILtJ strains and the lowest expressed in the CAST/EiJ strain. Based on these results, we suggest that there may be genetic variation in the contribution of Nox4 to the regulation of plasma TMAO and liver triglyceride content. In summary, we show that liver transcriptomic analysis identified diet- or strain-specific pathways for metabolic traits in the Collaborative Cross (CC) founder strains.
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Affiliation(s)
- Myungsuk Kim
- Department of Nutrition, University of California, Davis, California
- USDA-ARS-Western Human Nutrition Research Center, Davis, California
| | - M Nazmul Huda
- Department of Nutrition, University of California, Davis, California
- USDA-ARS-Western Human Nutrition Research Center, Davis, California
| | - Annalouise O'Connor
- Nutrition Research Institute, University of North Carolina, Kannapolis, North Carolina
| | - Jody Albright
- Nutrition Research Institute, University of North Carolina, Kannapolis, North Carolina
| | | | - Brian J Bennett
- Department of Nutrition, University of California, Davis, California
- USDA-ARS-Western Human Nutrition Research Center, Davis, California
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Aldana-Hernández P, Azarcoya-Barrera J, van der Veen JN, Leonard KA, Zhao YY, Nelson R, Goruk S, Field CJ, Curtis JM, Richard C, Jacobs RL. Dietary phosphatidylcholine supplementation reduces atherosclerosis in Ldlr -/- male mice 2. J Nutr Biochem 2021; 92:108617. [PMID: 33705949 DOI: 10.1016/j.jnutbio.2021.108617] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 11/10/2020] [Accepted: 02/04/2021] [Indexed: 02/07/2023]
Abstract
Choline is an essential nutrient required for various biological processes. Eggs, dairy, and meat are rich in phosphatidylcholine (PC), whereas cereal and legumes are rich in free choline. Excess dietary choline leads to increase plasma trimethylamine N-oxide (TMAO). Epidemiological studies suggest that plasma TMAO is a biomarker for atherosclerosis and it has been suggested that a lower intake of eggs and meat would reduce choline consumption and thus reduce atherosclerosis development. To investigate whether the form of dietary choline influences atherosclerosis development in Ldlr-/-, we randomly fed Ldlr-/-male mice (aged 8 - 10 wk) one of the three 40% (calories) high fat diets (with 0.5% w/w of cholesterol): Control (0.1% w/w free-choline, CON), choline-supplemented (0.4% free-choline, CS), or PC-supplemented (0.1% free-choline and 0.3% choline from PC, PCS). After 12-wk of dietary intervention, the animals were euthanized and tissues and blood collected. Aortic atherosclerotic plaque area, plasma choline, lipid metabolites, and spleen and peripheral blood cell phenotypes were quantified. Surprisingly, the PCS group had significantly lower atherosclerotic lesions while having 2-fold higher plasma TMAO levels compared with both CON and CS groups (P<0.05). In the fasting state, we found that PCS decreased plasma very low-density lipoprotein-cholesterol (VLDL-C) and apolipoprotein B48 (APOB48), and increased plasma high-density lipoprotein-cholesterol (HDL-C). However, very low-density lipoprotein (VLDL) secretion was not affected by dietary treatment. We observed lower levels of circulating pro-atherogenic chemokines in the PCS group. Our study suggests that increased dietary PC intake does not induce a pro-atherogenic phenotype.
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Affiliation(s)
- Paulina Aldana-Hernández
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | - Jessy Azarcoya-Barrera
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | | | - Kelly-Ann Leonard
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | - Yuan-Yuan Zhao
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | - Randal Nelson
- Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada
| | - Susan Goruk
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | - Catherine J Field
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | - Jonathan M Curtis
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | - Caroline Richard
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada
| | - René L Jacobs
- Food and Nutritional Science, Department of Agricultural, University of Alberta, Edmonton, Alberta, Canada; Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada.
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35
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Zhang J, Wang L, Cai J, Lei A, Liu C, Lin R, Jia L, Fu Y. Gut microbial metabolite TMAO portends prognosis in acute ischemic stroke. J Neuroimmunol 2021; 354:577526. [PMID: 33647820 DOI: 10.1016/j.jneuroim.2021.577526] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 02/17/2021] [Accepted: 02/17/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Over the recent years, the role of trimethylamine N-oxide (TMAO) as a gut-derived metabolite mediating cardiovascular disease pathogenesis has been under particularly intense scrutiny. The aim was to explore whether TMAO levels were associated with clinical severity or functional outcome in Chinese patients with ischemic stroke. METHODS This is a single-center, prospective cohort study from Xiamen, China. We examined the relationship between fasting TMAO and 2 of its nutrient precursors, choline and betaine, vs. 3-month functional outcome and mortality in 351 first-ever patients with acute ischemic stroke. RESULTS The median value of the plasma level of TMAO was 6.1 μM (IQR, 3.7-9.9 μM), which was higher than in those control cases (4.0; 2.4-5.9 μM). Patients with a poor outcome and nonsurvivors had significantly increased TMAO levels on admission (P < 0.001). Following adjustments for traditional risk factors, increased TMAO concentrations remained predictive of both poor outcome and mortality risks in stroke patients [e.g., quartiles 4 vs 1, odd ratio 5.65 (95% CI, 2.87-13.45), P < 0.001; and 5.84 (95% CI, 3.05-16.12), P < 0.001, respectively]. In multivariate analysis, TMAO was an independent predictor of functional outcome and mortality and improved the prognostic accuracy of the NIHSS to predict functional outcome (combined areas under the curve, 0.82; 95% CI 0.77-0.89, P = 0.003) and mortality (combined areas under the curve, 0.85; 95% CI: 0.80-0.90, P = 0.002). CONCLUSIONS Fasting plasma concentrations of gut microbial TMAO are higher in patients with ischemic stroke and portend higher poor functional outcome events and mortality.
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Affiliation(s)
- Jianli Zhang
- Department of Neurology, Xiamen Fifth Hospital, Xiamen, China.
| | - Liankun Wang
- Department of Neuroelectrophysiology, Heilongjiang Province Hospital, Harbin, China
| | - Jinle Cai
- Department of Neurology, Xiamen Fifth Hospital, Xiamen, China
| | - Aidi Lei
- Department of Neurology, Xiamen Fifth Hospital, Xiamen, China
| | - Caiwen Liu
- Department of Neurology, Xiamen Fifth Hospital, Xiamen, China
| | - Ruidian Lin
- Department of Neurology, Xiamen Fifth Hospital, Xiamen, China
| | - Li Jia
- Center of Health Laboratory Technology, Public Health Department of Harbin Medical University, Harbin, China.
| | - Yingzi Fu
- Department of Neurology, Heilongjiang Province Hospital, Harbin, China.
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36
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Iglesias-Carres L, Hughes MD, Steele CN, Ponder MA, Davy KP, Neilson AP. Use of dietary phytochemicals for inhibition of trimethylamine N-oxide formation. J Nutr Biochem 2021; 91:108600. [PMID: 33577949 DOI: 10.1016/j.jnutbio.2021.108600] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 12/01/2020] [Accepted: 12/30/2020] [Indexed: 12/12/2022]
Abstract
Trimethylamine-N-oxide (TMAO) has been reported as a risk factor for atherosclerosis development, as well as for other cardiovascular disease (CVD) pathologies. The objective of this review is to provide a useful summary on the use of phytochemicals as TMAO-reducing agents. This review discusses the main mechanisms by which TMAO promotes CVD, including the modulation of lipid and bile acid metabolism, and the promotion of endothelial dysfunction and oxidative stress. Current knowledge on the available strategies to reduce TMAO formation are discussed, highlighting the effect and potential of phytochemicals. Overall, phytochemicals (i.e., phenolic compounds or glucosinolates) reduce TMAO formation by modulating gut microbiota composition and/or function, inhibiting host's capacity to metabolize TMA to TMAO, or a combination of both. Perspectives for design of future studies involving phytochemicals as TMAO-reducing agents are discussed. Overall, the information provided by this review outlines the current state of the art of the role of phytochemicals as TMAO reducing agents, providing valuable insight to further advance in this field of study.
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Affiliation(s)
- Lisard Iglesias-Carres
- Department of Food, Bioprocessing and Nutrition Sciences, Plants for Human Health Institute, North Carolina State University, Kannapolis, NC
| | - Michael D Hughes
- Department of Food Science and Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA
| | - Cortney N Steele
- Department of Human Nutrition, Foods and Exercise, Virginia Polytechnic Institute and State University, Blacksburg, VA
| | - Monica A Ponder
- Department of Food Science and Technology, Virginia Polytechnic Institute and State University, Blacksburg, VA
| | - Kevin P Davy
- Department of Human Nutrition, Foods and Exercise, Virginia Polytechnic Institute and State University, Blacksburg, VA
| | - Andrew P Neilson
- Department of Food, Bioprocessing and Nutrition Sciences, Plants for Human Health Institute, North Carolina State University, Kannapolis, NC.
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Li DY, Wang Z, Jia X, Yan D, Shih DM, Hazen SL, Lusis AJ, Tang WHW. Loop Diuretics Inhibit Renal Excretion of Trimethylamine N-Oxide. JACC Basic Transl Sci 2021; 6:103-115. [PMID: 33665512 PMCID: PMC7907536 DOI: 10.1016/j.jacbts.2020.11.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/12/2020] [Accepted: 11/12/2020] [Indexed: 12/26/2022]
Abstract
Uremic retention solutes predominantly eliminate through the kidneys largely via specific efflux channels in the proximal renal tubules. For the first time, we demonstrated in vivo that renal tubular excretion of TMAO can be inhibited by concomitant loop diuretic administration via competition at the level of renal transporters. We further observed accumulation of TMAO in the renal parenchyma, which implied differential distributions of TMAO across various tissues and/or systems as a consequence of efflux channel control. Poorer outcomes in patients who receive long-term loop diuretic agents may therefore be associated with metabolic perturbations, such as retention of metabolites like TMAO, beyond impaired glomerular filtration.
This study demonstrates, for the first time, that renal tubular excretion of trimethylamine N-oxide (TMAO) is inhibited by concomitant loop diuretic administration. The observed marked accumulation in the renal parenchyma, and to lesser extent, plasma, implies differential distributions of TMAO across various tissues and/or systems as a consequence of efflux channel control. A better understanding of TMAO renal clearance and its potential interactions with current and future therapies in patients with heart failure are warranted.
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Affiliation(s)
- Daniel Y Li
- Center for Microbiome and Human Health, Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Medicine, Stanford University Medical Center, Stanford, California, USA
| | - Zeneng Wang
- Center for Microbiome and Human Health, Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Xun Jia
- Center for Microbiome and Human Health, Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Di Yan
- Department of Dermatology, New York University Langone Health, New York, New York, USA
| | - Diana M Shih
- Division of Cardiology, Department of Medicine, University of California, Los Angeles, California, USA
| | - Stanley L Hazen
- Center for Microbiome and Human Health, Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Aldons J Lusis
- Division of Cardiology, Department of Medicine, University of California, Los Angeles, California, USA
| | - W H Wilson Tang
- Center for Microbiome and Human Health, Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA.,Center for Clinical Genomics, Cleveland Clinic, Cleveland, Ohio, USA
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Argyridou S, Bernieh D, Henson J, Edwardson CL, Davies MJ, Khunti K, Suzuki T, Yates T. Associations between physical activity and trimethylamine N-oxide in those at risk of type 2 diabetes. BMJ Open Diabetes Res Care 2020; 8:8/2/e001359. [PMID: 33262105 PMCID: PMC7709505 DOI: 10.1136/bmjdrc-2020-001359] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2020] [Revised: 10/09/2020] [Accepted: 11/03/2020] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Trimethylamine N-oxide (TMAO) has been identified as a novel gut-derived molecule that is associated with the risk of cardiometabolic diseases. However, the relationship between TMAO and physical activity is not well understood. This study prospectively investigates the association between TMAO and objectively assessed physical activity in a population at high risk of type 2 diabetes mellitus. RESEARCH DESIGN AND METHODS Baseline and 12-month follow-up data were used from the Walking Away from Type 2 Diabetes trial, which recruited adults at high risk of type 2 diabetes from primary care in 2009-2010. TMAO was analyzed using targeted mass spectrometry. Generalized estimating equation models with an exchangeable correlation structure were used to investigate the associations between accelerometer-assessed exposures (sedentary time, light physical activity, moderate to vigorous physical activity (MVPA)) and TMAO, adjusting for demographic, clinical and lifestyle factors in varying degrees. RESULTS Overall, 483 individuals had plasma samples available for the analysis of TMAO (316 (65.4%) men, 167 (34.6%) women), contributing 886 observations to the analysis. MVPA (min/day) was associated with TMAO in all models. In the fully adjusted model, each 30 min or SD difference in MVPA was associated with 0.584 μmol/L (0.070, 1.098) and 0.456 μmol/L (0.054, 0.858) lower TMAO, respectively. Sedentary time and light physical activity were not associated with TMAO in any model. CONCLUSIONS Engagement with MVPA was associated with lower TMAO levels, suggesting a possible new mechanism underlining the inverse relationship between physical activity and cardiometabolic health.
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Affiliation(s)
- Stavroula Argyridou
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Dennis Bernieh
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Joseph Henson
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Charlotte L Edwardson
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Melanie J Davies
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Applied Research Collaborations East Midlands, University of Leicester, Leicester, UK
| | - Toru Suzuki
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK
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León-Mimila P, Villamil-Ramírez H, Li XS, Shih DM, Hui ST, Ocampo-Medina E, López-Contreras B, Morán-Ramos S, Olivares-Arevalo M, Grandini-Rosales P, Macías-Kauffer L, González-González I, Hernández-Pando R, Gómez-Pérez F, Campos-Pérez F, Aguilar-Salinas C, Larrieta-Carrasco E, Villarreal-Molina T, Wang Z, Lusis AJ, Hazen SL, Huertas-Vazquez A, Canizales-Quinteros S. Trimethylamine N-oxide levels are associated with NASH in obese subjects with type 2 diabetes. DIABETES & METABOLISM 2020; 47:101183. [PMID: 32791310 DOI: 10.1016/j.diabet.2020.07.010] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 07/08/2020] [Accepted: 07/28/2020] [Indexed: 12/23/2022]
Abstract
AIMS Trimethylamine N-oxide (TMAO), choline and betaine serum levels have been associated with metabolic diseases including type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD). These associations could be mediated by insulin resistance. However, the relationships among these metabolites, insulin resistance and NAFLD have not been thoroughly investigated. Moreover, it has recently been suggested that TMAO could play a role in NAFLD by altering bile acid metabolism. We examined the association between circulating TMAO, choline and betaine levels and NAFLD in obese subjects. METHODS Serum TMAO, choline, betaine and bile acid levels were measured in 357 Mexican obese patients with different grades of NAFLD as determined by liver histology. Associations of NAFLD with TMAO, choline and betaine levels were tested. Moreover, association of TMAO levels with non-alcoholic steatohepatitis (NASH) was tested separately in patients with and without T2D. RESULTS TMAO and choline levels were significantly associated with NAFLD histologic features and NASH risk. While increased serum TMAO levels were significantly associated with NASH in patients with T2D, in non-T2D subjects this association lost significance after adjusting for sex, BMI and HOMA2-IR. Moreover, circulating secondary bile acids were associated both with increased TMAO levels and NASH. CONCLUSIONS In obese patients, circulating TMAO levels were associated with NASH mainly in the presence of T2D. Functional studies are required to evaluate the role of insulin resistance and T2D in this association, both highly prevalent in NASH patients.
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Affiliation(s)
- P León-Mimila
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA; Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - H Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - X S Li
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - D M Shih
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - S T Hui
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - E Ocampo-Medina
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - B López-Contreras
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - S Morán-Ramos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico; Cátedras, CONACyT, Mexico City, Mexico
| | - M Olivares-Arevalo
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - P Grandini-Rosales
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - L Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - I González-González
- Clínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General Dr. Rubén Lénero, Mexico City, Mexico
| | - R Hernández-Pando
- Departamento de Patología Experimental, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | - F Gómez-Pérez
- Departamento de Endocrinología, INCMNSZ, Mexico City, Mexico
| | - F Campos-Pérez
- Clínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General Dr. Rubén Lénero, Mexico City, Mexico
| | - C Aguilar-Salinas
- Departamento de Endocrinología, INCMNSZ, Mexico City, Mexico; Unidad de Investigación en Enfermedades Metabólicas, INCMNSZ, Mexico City, Mexico; Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Nuevo Leon 64710, Mexico
| | | | - T Villarreal-Molina
- Laboratorio de Genómica de Enfermedades Cardiovasculares, INMEGEN, Mexico City, Mexico
| | - Z Wang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - A J Lusis
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - S L Hazen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - A Huertas-Vazquez
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA.
| | - S Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico.
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Abstract
We critically review potential involvement of trimethylamine N-oxide (TMAO) as a link between diet, the gut microbiota and CVD. Generated primarily from dietary choline and carnitine by gut bacteria and hepatic flavin-containing mono-oxygenase (FMO) activity, TMAO could promote cardiometabolic disease when chronically elevated. However, control of circulating TMAO is poorly understood, and diet, age, body mass, sex hormones, renal clearance, FMO3 expression and genetic background may explain as little as 25 % of TMAO variance. The basis of elevations with obesity, diabetes, atherosclerosis or CHD is similarly ill-defined, although gut microbiota profiles/remodelling appear critical. Elevated TMAO could promote CVD via inflammation, oxidative stress, scavenger receptor up-regulation, reverse cholesterol transport (RCT) inhibition, and cardiovascular dysfunction. However, concentrations influencing inflammation, scavenger receptors and RCT (≥100 µm) are only achieved in advanced heart failure or chronic kidney disease (CKD), and greatly exceed pathogenicity of <1-5 µm levels implied in some TMAO-CVD associations. There is also evidence that CVD risk is insensitive to TMAO variance beyond these levels in omnivores and vegetarians, and that major TMAO sources are cardioprotective. Assessing available evidence suggests that modest elevations in TMAO (≤10 µm) are a non-pathogenic consequence of diverse risk factors (ageing, obesity, dyslipidaemia, insulin resistance/diabetes, renal dysfunction), indirectly reflecting CVD risk without participating mechanistically. Nonetheless, TMAO may surpass a pathogenic threshold as a consequence of CVD/CKD, secondarily promoting disease progression. TMAO might thus reflect early CVD risk while providing a prognostic biomarker or secondary target in established disease, although mechanistic contributions to CVD await confirmation.
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Simó C, García-Cañas V. Dietary bioactive ingredients to modulate the gut microbiota-derived metabolite TMAO. New opportunities for functional food development. Food Funct 2020; 11:6745-6776. [PMID: 32686802 DOI: 10.1039/d0fo01237h] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
There is a growing body of clinical evidence that supports a strong association between elevated circulating trimethylamine N-oxide (TMAO) levels with increased risk of developing adverse cardiovascular outcomes such as atherosclerosis and thrombosis. TMAO is synthesized through a meta-organismal stepwise process that involves (i) the microbial production of TMA in the gut from dietary precursors and (ii) its subsequent oxidation to TMAO by flavin-containing monooxygenases in the liver. Choline, l-carnitine, betaine, and other TMA-containing compounds are the major dietary precursors of TMA. TMAO can also be absorbed directly from the gastrointestinal tract after the intake of TMAO-rich foods such as fish and shellfish. Thus, diet is an important factor as it provides the nutritional precursors to eventually produce TMAO. A number of studies have attempted to associate circulating TMAO levels with the consumption of diets rich in these foods. On the other hand, there is growing interest for the development of novel food ingredients that reduce either the TMAO-induced damage or the endogenous TMAO levels through the interference with microbiota and host metabolic processes involved in TMAO pathway. Such novel functional food ingredients would offer great opportunities to control circulating TMAO levels or its effects, and potentially contribute to decrease cardiovascular risk. In this review we summarize and discuss current data regarding the effects of TMA precursors-enriched foods or diets on circulating TMAO levels, and recent findings regarding the circulating TMAO-lowering effects of specific foods, food constituents and phytochemicals found in herbs, individually or in extracts, and their potential beneficial effect for cardiovascular health.
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Affiliation(s)
- C Simó
- Molecular Nutrition and Metabolism, Institute of Food Science Research (CIAL, CSIC-UAM), c/Nicolás Cabrera 9, 28049 Madrid, Spain.
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Andraos S, Lange K, Clifford SA, Jones B, Thorstensen EB, Kerr JA, Wake M, Saffery R, Burgner DP, O'Sullivan JM. Plasma Trimethylamine N-Oxide and Its Precursors: Population Epidemiology, Parent-Child Concordance, and Associations with Reported Dietary Intake in 11- to 12-Year-Old Children and Their Parents. Curr Dev Nutr 2020; 4:nzaa103. [PMID: 32666035 PMCID: PMC7335361 DOI: 10.1093/cdn/nzaa103] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 05/18/2020] [Accepted: 06/02/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Trimethylamine N-oxide (TMAO) is a microbiome- and diet-derived metabolite implicated in adverse cardiovascular outcomes. To date, studies of plasma TMAO concentrations have largely focused on individuals with metabolic disease. As such, data on TMAO concentrations in population settings and parent-child dyads are lacking. OBJECTIVES This study aimed to investigate parent-child concordance, age, and sex effects on plasma concentrations of TMAO and its precursors [l-carnitine, choline, betaine, and dimethylglycine (DMG)]. Associations between concentrations of TMAO and its precursors and self-reported dietary intakes of animal protein (i.e., red meat, meat products, chicken, fish, milk products, and cheese) and fast-food meals were also investigated. METHODS A total of 1166 children (mean ± SD age: 11 ± 0.5 y, 51% female) and 1324 parents (mean ± SD age: 44 ± 5.1 y, 87% female) had a biomedical assessment as part of Growing Up in Australia's Child Health Checkpoint. Plasma TMAO and precursor concentrations were quantified using ultra-high-pressure LC coupled with tandem MS. RESULTS Familial dyads significantly contributed to plasma TMAO and precursor concentrations (P < 0.0001), explaining 37% of variance for TMAO concentrations. Least-square mean ± SE plasma TMAO was lower in children (0.79 ± 0.02 µM on the log-scale) than in adults (1.22 ± 0.02 µM). By contrast, children's betaine (40.30 ± 0.34 µM) and DMG concentrations (1.02 ± 0.01 µM on the log-scale) were higher than adults' betaine (37.50 ± 0.32 µM) and DMG concentrations (0.80 ± 0.01 µM) (P < 0.0001). Mean values of all metabolites, except adult TMAO, were higher in males than in females (P < 0.001). Greater reported intake of red meat and fish was associated with higher TMAO concentrations in both children [estimates (95% CIs) for red meat: 0.06 (0.01, 0.10); fish: 0.11 (0.06, 0.17)] and adults [red meat: 0.13 (0.08, 0.17); meat products: 0.07 (0.03, 0.12); and fish: 0.09 (0.04, 0.14)]. CONCLUSIONS Age, sex, and shared family factors, including diet, contribute to variation in plasma concentrations of TMAO and its precursors.
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Affiliation(s)
- Stephanie Andraos
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Katherine Lange
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Susan A Clifford
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Beatrix Jones
- Department of Statistics, Faculty of Science, The University of Auckland, Auckland, New Zealand
| | | | - Jessica A Kerr
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Melissa Wake
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Richard Saffery
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - David P Burgner
- The Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
- Department of Paediatrics, Monash University, Clayton, Victoria, Australia
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Louca P, Menni C, Padmanabhan S. Genomic Determinants of Hypertension With a Focus on Metabolomics and the Gut Microbiome. Am J Hypertens 2020; 33:473-481. [PMID: 32060494 DOI: 10.1093/ajh/hpaa022] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 02/10/2020] [Accepted: 02/11/2020] [Indexed: 12/28/2022] Open
Abstract
Epidemiologic and genomic studies have progressively improved our understanding of the causation of hypertension and the complex relationship with diet and environment. The majority of Mendelian forms of syndromic hypotension and hypertension (HTN) have all been linked to mutations in genes whose encoded proteins regulate salt-water balance in the kidney, supporting the primacy of the kidneys in blood pressure regulation. There are more than 1,477 single nucleotide polymorphisms associated with blood pressure and hypertension and the challenge is establishing a causal role for these variants. Hypertension is a complex multifactorial phenotype and it is likely to be influenced by multiple factors including interactions between diet and lifestyle factors, microbiome, and epigenetics. Given the finite genetic variability that is possible in humans, it is likely that incremental gains from single marker analyses have now plateaued and a greater leap in our understanding of the genetic basis of disease will come from integration of other omics and the interacting environmental factors. In this review, we focus on emerging results from the microbiome and metabolomics and discuss how leveraging these findings may facilitate a deeper understanding of the interrelationships between genomics, diet, and microbial ecology in humans in the causation of essential hypertension.
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Affiliation(s)
| | - Cristina Menni
- Department of Twin Research, King’s College London, London, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
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44
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Meyer KA. Population studies of TMAO and its precursors may help elucidate mechanisms. Am J Clin Nutr 2020; 111:1115-1116. [PMID: 32386195 PMCID: PMC7530463 DOI: 10.1093/ajcn/nqaa068] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Katie A Meyer
- Department of Nutrition and Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA,Address correspondence to KAM (e-mail: )
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45
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Zhu Y, Li Q, Jiang H. Gut microbiota in atherosclerosis: focus on trimethylamine N-oxide. APMIS 2020; 128:353-366. [PMID: 32108960 PMCID: PMC7318354 DOI: 10.1111/apm.13038] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Accepted: 11/26/2019] [Indexed: 12/25/2022]
Abstract
The increasing prevalence of cardiovascular diseases cannot adequately be explained by traditional risk factors. Recently, accumulating evidence has suggested that gut microbiota‐derived numerous metabolites are contributors to atherosclerotic events. Among them, the role of trimethylamine N‐oxide (TMAO) in promoting atherosclerosis has gained attention. TMAO is reported to exert the proatherogenic effects by impacting on the traditional risk factors of atherosclerosis and is associated with high risk of cardiovascular events. Besides that, TMAO is involved in the complex pathological processes of atherosclerotic lesion formation, such as endothelial dysfunction, platelet activation and thrombus generation. In light of these promising findings, TMAO may serve as a potential target for atherosclerosis prevention and treatment, which is conceptually novel, when compared with existing traditional treatments. It is likely that regulating TMAO production and associated gut microbiota may become a promising strategy for the anti‐atherosclerosis therapy.
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Affiliation(s)
- Yingqian Zhu
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Qingqing Li
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hua Jiang
- Department of Geriatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
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46
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Nutraceutical support in heart failure: a position paper of the International Lipid Expert Panel (ILEP). Nutr Res Rev 2020; 33:155-179. [PMID: 32172721 DOI: 10.1017/s0954422420000049] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Heart failure (HF) is a complex clinical syndrome that represents a major cause of morbidity and mortality in Western countries. Several nutraceuticals have shown interesting clinical results in HF prevention as well as in the treatment of the early stages of the disease, alone or in combination with pharmacological therapy. The aim of the present expert opinion position paper is to summarise the available clinical evidence on the role of phytochemicals in HF prevention and/or treatment that might be considered in those patients not treated optimally as well as in those with low therapy adherence. The level of evidence and the strength of recommendation of particular HF treatment options were weighed up and graded according to predefined scales. A systematic search strategy was developed to identify trials in PubMed (January 1970 to June 2019). The terms 'nutraceuticals', 'dietary supplements', 'herbal drug' and 'heart failure' or 'left verntricular dysfunction' were used in the literature search. The experts discussed and agreed on the recommendation levels. Available clinical trials reported that the intake of some nutraceuticals (hawthorn, coenzyme Q10, l-carnitine, d-ribose, carnosine, vitamin D, probiotics, n-3 PUFA and beet nitrates) might be associated with improvements in self-perceived quality of life and/or functional parameters such as left ventricular ejection fraction, stroke volume and cardiac output in HF patients, with minimal or no side effects. Those benefits tended to be greater in earlier HF stages. Available clinical evidence supports the usefulness of supplementation with some nutraceuticals to improve HF management in addition to evidence-based pharmacological therapy.
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47
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Aldana-Hernández P, Leonard KA, Zhao YY, Curtis JM, Field CJ, Jacobs RL. Dietary Choline or Trimethylamine N-oxide Supplementation Does Not Influence Atherosclerosis Development in Ldlr-/- and Apoe-/- Male Mice. J Nutr 2020; 150:249-255. [PMID: 31529091 DOI: 10.1093/jn/nxz214] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 06/07/2019] [Accepted: 08/08/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Choline, an essential nutrient, is required for cell membranes, lipoprotein secretion, and methyl-group metabolism. Recently, it has been proposed that excess dietary choline consumption is metabolized to trimethylamine (TMA) by the gut microbiota; TMA is then oxidized to trimethylamine N-oxide (TMAO) in the liver. Epidemiological studies have clearly shown a positive correlation between plasma TMAO concentrations and cardiovascular events. Furthermore, some studies have shown an association between excess dietary choline, plasma TMAO concentrations, and atherosclerotic lesion size in apoE knockout (Apoe-/-) mice. OBJECTIVE The aim of this study was to further investigate the relation between dietary choline and atherosclerosis in 2 atherogenic mouse models, the LDL receptor knockout (Ldlr-/-) and Apoe-/- mice. METHODS Six feeding trials were performed in Ldlr-/- (40% high-fat diet) and Apoe-/- (unpurified diet) male mice, aged 8-10 wk. Mice randomly received control diet (0.1% choline), or choline- (1% choline), betaine- (0.1% choline and 0.9% betaine), or TMAO- (0.1% choline and 0.12% or 0.2% TMAO) supplemented diet for ≤28 wk. After the dietary intervention, the animals were killed and tissues and blood collected. Aortic atherosclerotic plaque area, plasma lipids, and choline metabolites were quantified. RESULTS In Ldlr-/- mice, dietary supplementation for 8 wk with choline or TMAO increased plasma TMAO concentrations by 1.6- and 4-fold, respectively. After 16 wk, there was a 2-fold increase in plasma TMAO after dietary TMAO supplementation. In Apoe-/- mice, dietary supplementation with choline, betaine, or TMAO for 12 wk did not increase plasma TMAO concentrations. However, choline and TMAO supplementation for 28 wk significantly increased plasma TMAO concentrations by 1.8- and 1.5-fold, respectively. Contrary to predictions, atherosclerotic lesion size was not altered by any of the dietary interventions, irrespective of mouse model. CONCLUSIONS In our study, high intakes of dietary choline or TMAO supplementation did not influence atherosclerosis development in Ldlr-/- or Apoe-/- male mice.
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Affiliation(s)
- Paulina Aldana-Hernández
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Kelly-Ann Leonard
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Yuan-Yuan Zhao
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Jonathan M Curtis
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Catherine J Field
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - René L Jacobs
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.,Department of Biochemistry, University of Alberta, Edmonton, Alberta, Canada
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Abstract
Advances in our understanding of how the gut microbiota contributes to human health and diseases have expanded our insight into how microbial composition and function affect the human host. Heart failure is associated with splanchnic circulation congestion, leading to bowel wall oedema and impaired intestinal barrier function. This situation is thought to heighten the overall inflammatory state via increased bacterial translocation and the presence of bacterial products in the systemic blood circulation. Several metabolites produced by gut microorganisms from dietary metabolism have been linked to pathologies such as atherosclerosis, hypertension, heart failure, chronic kidney disease, obesity, and type 2 diabetes mellitus. These findings suggest that the gut microbiome functions like an endocrine organ by generating bioactive metabolites that can directly or indirectly affect host physiology. In this Review, we discuss several newly discovered gut microbial metabolic pathways, including the production of trimethylamine and trimethylamine N-oxide, short-chain fatty acids, and secondary bile acids, that seem to participate in the development and progression of cardiovascular diseases, including heart failure. We also discuss the gut microbiome as a novel therapeutic target for the treatment of cardiovascular disease, and potential strategies for targeting intestinal microbial processes.
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Affiliation(s)
- W H Wilson Tang
- Center for Microbiome & Human Health, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA. .,Department for Cellular & Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA. .,Center for Clinical Genomics, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA. .,Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA. .,Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland, OH, USA.
| | - Daniel Y Li
- Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland, OH, USA
| | - Stanley L Hazen
- Center for Microbiome & Human Health, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.,Department for Cellular & Molecular Medicine, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.,Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA.,Cleveland Clinic Lerner College of Medicine at Case Western Reserve University, Cleveland, OH, USA
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49
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Ge X, Zheng L, Zhuang R, Yu P, Xu Z, Liu G, Xi X, Zhou X, Fan H. The Gut Microbial Metabolite Trimethylamine N-Oxide and Hypertension Risk: A Systematic Review and Dose-Response Meta-analysis. Adv Nutr 2020; 11:66-76. [PMID: 31269204 PMCID: PMC7442397 DOI: 10.1093/advances/nmz064] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The gut microbial metabolite trimethylamine N-oxide (TMAO) is increasingly regarded as a novel risk factor for cardiovascular events and mortality. However, little is known about the association between TMAO and hypertension. This meta-analysis was conducted to quantitatively assess the relation between the circulating TMAO concentration and hypertension prevalence. The PubMed, Cochrane Library, and Embase databases were systematically searched up to 17 June 2018. Studies recording the hypertension prevalence in members of a given population and their circulating TMAO concentrations were included. A total of 8 studies with 11,750 individuals and 6176 hypertensive cases were included in the analytic synthesis. Compared with low circulating TMAO concentrations, high TMAO concentrations were correlated with a higher prevalence of hypertension (RR: 1.12; 95% CI: 1.06, 1.17; P < 0.0001; I2 = 64%; P-heterogeneity = 0.007; random-effects model). Consistent results were obtained in all examined subgroups as well as in the sensitivity analysis. The RR for hypertension prevalence increased by 9% per 5-μmol/L increment (RR: 1.09; 95% CI: 1.05, 1.14; P < 0.0001) and 20% per 10-μmol/L increment of circulating TMAO concentration (RR: 1.20; 95% CI: 1.11, 1.30; P < 0.0001) according to the dose-response meta-analysis. To our knowledge, this is the first systematic review and meta-analysis demonstrating a significant positive dose-dependent association between circulating TMAO concentrations and hypertension risk.
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Affiliation(s)
- Xinyu Ge
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, People's Republic of China,Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Shanghai Heart Failure Research Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Department of Cardiovascular Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Liang Zheng
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, People's Republic of China,Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Shanghai Heart Failure Research Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Rulin Zhuang
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, People's Republic of China,Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Shanghai Heart Failure Research Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Department of Cardiovascular Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Ping Yu
- Department of Heart Failure, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Zhican Xu
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, People's Republic of China,Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Shanghai Heart Failure Research Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,The First Affiliated Hospital, Dalian Medical University, Dalian, People's Republic of China
| | - Guanya Liu
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, People's Republic of China,Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Shanghai Heart Failure Research Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Department of Cardiovascular Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Xiaoling Xi
- Department of Heart Failure, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Xiaohui Zhou
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, People's Republic of China,Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Shanghai Heart Failure Research Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Address correspondence to XZ (E-mail: )
| | - Huimin Fan
- Institute of Integrated Traditional Chinese and Western Medicine for Cardiovascular Chronic Diseases, Tongji University School of Medicine, Shanghai, People's Republic of China,Research Center for Translational Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Shanghai Heart Failure Research Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Department of Cardiovascular Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Department of Heart Failure, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China,Address correspondence to HF (E-mail: )
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50
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Maazi H, Hartiala JA, Suzuki Y, Crow AL, Shafiei Jahani P, Lam J, Patel N, Rigas D, Han Y, Huang P, Eskin E, Lusis AJ, Gilliland FD, Akbari O, Allayee H. A GWAS approach identifies Dapp1 as a determinant of air pollution-induced airway hyperreactivity. PLoS Genet 2019; 15:e1008528. [PMID: 31869344 PMCID: PMC6944376 DOI: 10.1371/journal.pgen.1008528] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 01/06/2020] [Accepted: 11/15/2019] [Indexed: 02/07/2023] Open
Abstract
Asthma is a chronic inflammatory disease of the airways with contributions from genes, environmental exposures, and their interactions. While genome-wide association studies (GWAS) in humans have identified ~200 susceptibility loci, the genetic factors that modulate risk of asthma through gene-environment (GxE) interactions remain poorly understood. Using the Hybrid Mouse Diversity Panel (HMDP), we sought to identify the genetic determinants of airway hyperreactivity (AHR) in response to diesel exhaust particles (DEP), a model traffic-related air pollutant. As measured by invasive plethysmography, AHR under control and DEP-exposed conditions varied 3-4-fold in over 100 inbred strains from the HMDP. A GWAS with linear mixed models mapped two loci significantly associated with lung resistance under control exposure to chromosomes 2 (p = 3.0x10-6) and 19 (p = 5.6x10-7). The chromosome 19 locus harbors Il33 and is syntenic to asthma association signals observed at the IL33 locus in humans. A GxE GWAS for post-DEP exposure lung resistance identified a significantly associated locus on chromosome 3 (p = 2.5x10-6). Among the genes at this locus is Dapp1, an adaptor molecule expressed in immune-related and mucosal tissues, including the lung. Dapp1-deficient mice exhibited significantly lower AHR than control mice but only after DEP exposure, thus functionally validating Dapp1 as one of the genes underlying the GxE association at this locus. In summary, our results indicate that some of the genetic determinants for asthma-related phenotypes may be shared between mice and humans, as well as the existence of GxE interactions in mice that modulate lung function in response to air pollution exposures relevant to humans. The genetic factors that modulate risk of asthma through gene-environment (GxE) interactions are poorly understood, due in large part to the inherent difficulties in carrying out such studies in humans. To address these challenges, we used the Hybrid Mouse Diversity Panel to elucidate the genetic architecture of asthma-related phenotypes in mice and identify loci that are associated with airway hyperreactivity (AHR) under control exposure conditions and in response to diesel exhaust particles (DEP), as a model traffic-related air pollutant. In the absence of exposure, we identified two loci on chromosomes 2 and 19 for AHR. The locus on chromosome 19 harbors Il33 and is syntenic to association signals observed for asthma at the IL33 locus in humans. In response to DEP exposure, we mapped AHR to a region on chromosome 3 and used a genetically modified mouse model to functionally demonstrate that Dapp1 is one of the genes underlying the GxE association at this locus. Collectively, our results support the concept that some of the genetic determinants for asthma-related phenotypes may be shared between mice and humans as well as the existence of GxE interactions in mice that modulate lung function in response to air pollution exposures relevant to humans.
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Affiliation(s)
- Hadi Maazi
- Departments of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Jaana A. Hartiala
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Yuzo Suzuki
- Departments of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Amanda L. Crow
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Pedram Shafiei Jahani
- Departments of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Jonathan Lam
- Departments of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Nisheel Patel
- Departments of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Diamanda Rigas
- Departments of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Yi Han
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Pin Huang
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Eleazar Eskin
- Department of Computer Science and Inter-Departmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, California, United States of America
| | - Aldons. J. Lusis
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
- Department of Microbiology, Immunology, and Molecular Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America
| | - Frank D. Gilliland
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Omid Akbari
- Departments of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- * E-mail: (OA); (HA)
| | - Hooman Allayee
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- * E-mail: (OA); (HA)
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