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Florkowski M, Abiona E, Frank KM, Brichacek AL. Obesity-associated inflammation countered by a Mediterranean diet: the role of gut-derived metabolites. Front Nutr 2024; 11:1392666. [PMID: 38978699 PMCID: PMC11229823 DOI: 10.3389/fnut.2024.1392666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 06/03/2024] [Indexed: 07/10/2024] Open
Abstract
The prevalence of obesity has increased dramatically worldwide and has become a critical public health priority. Obesity is associated with many co-morbid conditions, including hypertension, diabetes, and cardiovascular disease. Although the physiology of obesity is complex, a healthy diet and sufficient exercise are two elements known to be critical to combating this condition. Years of research on the Mediterranean diet, which is high in fresh fruits and vegetables, nuts, fish, and olive oil, have demonstrated a reduction in numerous non-communicable chronic diseases associated with this diet. There is strong evidence to support an anti-inflammatory effect of the diet, and inflammation is a key driver of obesity. Changes in diet alter the gut microbiota which are intricately intertwined with human physiology, as gut microbiota-derived metabolites play a key role in biological pathways throughout the body. This review will summarize recent published studies that examine the potential role of gut metabolites, including short-chain fatty acids, bile acids, trimethylamine-N-oxide, and lipopolysaccharide, in modulating inflammation after consumption of a Mediterranean-like diet. These metabolites modulate pathways of inflammation through the NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome, toll-like receptor 4 signaling, and macrophage driven effects in adipocytes, among other mechanisms.
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Affiliation(s)
- Melanie Florkowski
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Esther Abiona
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Karen M Frank
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
| | - Allison L Brichacek
- Department of Laboratory Medicine, National Institutes of Health Clinical Center, Bethesda, MD, United States
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Cui X, Zhang T, Xie T, Guo FX, Zhang YY, Deng YJ, Wang Q, Guo YX, Dong MH, Luo XT. Research Progress on the Correlation Between Hypertension and Gut Microbiota. J Multidiscip Healthc 2024; 17:2371-2387. [PMID: 38770171 PMCID: PMC11104380 DOI: 10.2147/jmdh.s463880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 04/23/2024] [Indexed: 05/22/2024] Open
Abstract
Among cardiovascular diseases, hypertension is the most important risk factor for morbidity and mortality worldwide, and its pathogenesis is complex, involving genetic, dietary and environmental factors. The characteristics of the gut microbiota can vary in response to increased blood pressure (BP) and influence the development and progression of hypertension. This paper describes five aspects of the relationship between hypertension and the gut microbiota, namely, the different types of gut microbiota, metabolites of the gut microbiota, sympathetic activation, gut-brain interactions, the effects of exercise and dietary patterns and the treatment of the gut microbiota through probiotics, faecal microbiota transplantation (FMT) and herbal remedies, providing new clues for the future prevention of hypertension. Diet, exercise and traditional Chinese medicine may contribute to long-term improvements in hypertension, although the effects of probiotics and FMT still need to be validated in large populations.
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Affiliation(s)
- Xiaomei Cui
- Key Laboratory of Cardio Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, People’s Republic of China
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Ting Zhang
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Tao Xie
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Fang-xi Guo
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Yu-ying Zhang
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Yuan-jia Deng
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Qi Wang
- Key Laboratory of Cardio Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, People’s Republic of China
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Yi-xing Guo
- Key Laboratory of Cardio Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, People’s Republic of China
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Ming-hua Dong
- Key Laboratory of Cardio Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, People’s Republic of China
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, People’s Republic of China
| | - Xiao-ting Luo
- Key Laboratory of Cardio Cerebrovascular Diseases, Ministry of Education, Gannan Medical University, Ganzhou, People’s Republic of China
- School of General Medicine, Gannan Medical University, Ganzhou, People’s Republic of China
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Wang Y, Uffelman CN, Bergia RE, Clark CM, Reed JB, Cross TWL, Lindemann SR, Tang M, Campbell WW. Meat Consumption and Gut Microbiota: a Scoping Review of Literature and Systematic Review of Randomized Controlled Trials in Adults. Adv Nutr 2023; 14:215-237. [PMID: 36822879 PMCID: PMC10229385 DOI: 10.1016/j.advnut.2022.10.005] [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: 02/28/2022] [Revised: 09/27/2022] [Accepted: 10/05/2022] [Indexed: 12/23/2022] Open
Abstract
Emerging research indicates the importance of gut microbiota in mediating the relationship between meat intake and human health outcomes. We aimed to assess the state of available scientific literature on meat intake and gut microbiota in humans (PROSPERO, International Prospective Register of Systematic Reviews, CRD42020135649). We first conducted a scoping review to identify observational and interventional studies on this topic. Searches were performed for English language articles using PubMed, Cochrane Library, Scopus, and CINAHL (Cumulated Index to Nursing and Allied Health Literature) databases from inception to August 2021 and using keywords related to meat (inclusive of mammalian, avian, and aquatic subtypes) and gut microbiota. Of 14,680 records, 85 eligible articles were included in the scoping review, comprising 57 observational and 28 interventional studies. One prospective observational study and 13 randomized controlled trials (RCTs) were identified in adults without diagnosed disease. We included the 13 RCTs, comprising 18 comparisons, in the systematic review to assess the effects of higher and lower intakes of total meat and meat subtypes on the gut microbiota composition. The bacterial composition was differentially affected by consuming diets with and without meat or with varied meat subtypes. For example, higher meat intake tended to decrease population sizes of genera Anerostipes and Faecalibacterium, but it increased the population size of Roseburia across studies. However, the magnitude and directionality of most microbial responses varied, with inconsistent patterns of responses across studies. The data were insufficient for comparison within or between meat subtypes. The paucity of research, especially among meat subtypes, and heterogeneity of findings underscore the need for more well-designed prospective studies and full-feeding RCTs to address the relationships between and effects of consuming total meat and meat subtypes on gut microbiota, respectively.
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Affiliation(s)
- Yu Wang
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Cassi N Uffelman
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Robert E Bergia
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Caroline M Clark
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | - Jason B Reed
- Libraries and School of Information Studies, Purdue University, West Lafayette, IN, USA
| | - Tzu-Wen L Cross
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA
| | | | - Minghua Tang
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Wayne W Campbell
- Department of Nutrition Science, Purdue University, West Lafayette, IN, USA.
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4
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Khodabakhshi A, Monfared V, Arabpour Z, Vahid F, Hasani M. Association between Levels of Trimethylamine N-Oxide and Cancer: A Systematic Review and Meta-Analysis. Nutr Cancer 2023; 75:402-414. [PMID: 36217110 DOI: 10.1080/01635581.2022.2129080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Cancer is the second leading cause of death in the world. Reports on the effect of Trimethylamine-N-oxide (TAMO), a small amine oxide generated by gut microbial metabolism of choline, betaine, and carnitine, on cancer are inconsistent. Therefore, this systematic review and meta-analysis summarize the effect of TAMO on cancer incidence. A systematic search was conducted in PubMed, Scopus, Web of Science, and Embase. Data were pooled using the random-effects method and were expressed as weighted mean difference (WMD) and 95% confidence intervals (CI). The pooled results of 16 studies, including 5930 participants, showed that the association between TMAO levels and cancer incidence is insignificant (Odds Ratio: 0.97, 95% CI: (0.64, 1.46), P-value = 0.871). Subgroup analysis showed that urinary TMAO levels were negatively associated with cancer incidence; in contrast, a direct and positive association was observed between serum TMAO levels and cancer incidence. However, "gender" and the "TMAO measuring method" were the potential sources of discrepancies. Meta-regression analysis did not reveal any significant association between duration of studies, age, female ratio, subjects-control, and subjects-case. The present study demonstrates that serum TAMO levels were insignificantly associated with cancer incidence.
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Affiliation(s)
- Adeleh Khodabakhshi
- Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran.,Physiology Research center, Institute of Neuropharmacology, and Department of Nutrition, Faculty of Public Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Vahid Monfared
- Student Research Committee, Semnan University of Medical Sciences, Semnan, Iran
| | - Zahra Arabpour
- Department of Nutrition, School of Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Farhad Vahid
- Nutrition and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Motahareh Hasani
- Department of Nutrition, School of Health, Golestan University of Medical Sciences, Gorgan, Iran
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James KL, Gertz ER, Kirschke CP, Allayee H, Huang L, Kable ME, Newman JW, Stephensen CB, Bennett BJ. Trimethylamine N-Oxide Response to a Mixed Macronutrient Tolerance Test in a Cohort of Healthy United States Adults. Int J Mol Sci 2023; 24:2074. [PMID: 36768394 PMCID: PMC9917175 DOI: 10.3390/ijms24032074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/14/2023] [Accepted: 01/18/2023] [Indexed: 01/21/2023] Open
Abstract
Plasma trimethylamine n-oxide (TMAO) concentration increases in responses to feeding TMAO, choline, phosphatidylcholine, L-carnitine, and betaine but it is unknown whether concentrations change following a mixed macronutrient tolerance test (MMTT) with limited amounts of TMAO precursors. In this proof-of-concept study, we provided healthy female and male adults (n = 97) ranging in age (18-65 years) and BMI (18-44 kg/m2) a MMTT (60% fat, 25% sucrose; 42% of a standard 2000 kilo calorie diet) and recorded their metabolic response at fasting and at 30 min, 3 h, and 6 h postprandially. We quantified total exposure to TMAO (AUC-TMAO) and classified individuals by the blood draw at which they experienced their maximal TMAO concentration (TMAO-response groups). We related AUC-TMAO to the 16S rRNA microbiome, to two SNPs in the exons of the FMO3 gene (rs2266782, G>A, p.Glu158Lys; and rs2266780, A>G, p.Glu308Gly), and to a priori plasma metabolites. We observed varying TMAO responses (timing and magnitude) and identified a sex by age interaction such that AUC-TMAO increased with age in females but not in males (p-value = 0.0112). Few relationships between AUC-TMAO and the fecal microbiome and FMO3 genotype were identified. We observed a strong correlation between AUC-TMAO and TNF-α that depended on TMAO-response group. These findings promote precision nutrition and have important ramifications for the eating behavior of adults who could benefit from reducing TMAO exposure, and for understanding factors that generate plasma TMAO.
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Affiliation(s)
- Kristen L. James
- Department of Nutrition, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA
| | - Erik R. Gertz
- USDA-ARS Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA 95616, USA
| | - Catherine P. Kirschke
- USDA-ARS Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA 95616, USA
| | - Hooman Allayee
- Department of Population & Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Department of Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Liping Huang
- Department of Nutrition, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA
- USDA-ARS Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA 95616, USA
| | - Mary E. Kable
- Department of Nutrition, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA
- USDA-ARS Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA 95616, USA
| | - John W. Newman
- Department of Nutrition, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA
- USDA-ARS Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA 95616, USA
| | - Charles B. Stephensen
- Department of Nutrition, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA
- USDA-ARS Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA 95616, USA
| | - Brian J. Bennett
- Department of Nutrition, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA
- USDA-ARS Western Human Nutrition Research Center, 430 West Health Sciences Drive, Davis, CA 95616, USA
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Hill ER, O'Connor LE, Wang Y, Clark CM, McGowan BS, Forman MR, Campbell WW. Red and processed meat intakes and cardiovascular disease and type 2 diabetes mellitus: An umbrella systematic review and assessment of causal relations using Bradford Hill's criteria. Crit Rev Food Sci Nutr 2022; 64:2423-2440. [PMID: 36154543 DOI: 10.1080/10408398.2022.2123778] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Observational research suggests higher red and processed meat intakes predict greater risks of developing or dying from cardiovascular diseases (CVD) and type 2 diabetes mellitus (T2DM), but this research limits causal inference. This systematic review of reviews utilizes both observational and experimental research findings to infer causality of these relations. Reviews from four databases were screened by two researchers. Reviews included unprocessed red meat (URM), processed meat (PM), or mixed URM + PM intake, and reported CVD or T2DM outcomes. Twenty-nine reviews were included, and causality was inferred using Bradford Hill's Criteria. Observational assessments of CVD outcomes and all meat types consistently reported weak associations while, T2DM outcomes and PM and Mixed URM + PM assessments consistently reported strong associations. Experimental assessments of Mixed URM + PM on CVD and T2DM risk factors were predominately not significant which lacked coherence with observational findings. For all meat types and outcomes, temporality and plausible mechanisms were established, but specificity and analogous relationships do not support causality. Evidence was insufficient for URM and T2DM. More experimental research is needed to strengthen these inferences. These results suggest that red and processed meat intakes are not likely causally related to CVD but there is potential for a causal relationship with T2DM.
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Affiliation(s)
- Erica R Hill
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Lauren E O'Connor
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
- Agricultural Research Service, United States Department of Agriculture, Beltsville, Maryland, USA
| | - Yu Wang
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Caroline M Clark
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Bethany S McGowan
- Purdue University Libraries and School of Information Studies, Purdue University, West Lafayette, Indiana, USA
| | - Michele R Forman
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
| | - Wayne W Campbell
- Department of Nutrition Science, Purdue University, West Lafayette, Indiana, USA
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Diet, Fecal Microbiome, and Trimethylamine N-Oxide in a Cohort of Metabolically Healthy United States Adults. Nutrients 2022; 14:nu14071376. [PMID: 35405993 PMCID: PMC9003533 DOI: 10.3390/nu14071376] [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: 02/15/2022] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 02/08/2023] Open
Abstract
TMAO is elevated in individuals with cardiometabolic diseases, but it is unknown whether the metabolite is a biomarker of concern in healthy individuals. We conducted a cross-sectional study in metabolically healthy adults aged 18-66 years with BMI 18-44 kg/m2 and assessed the relationship between TMAO and diet, the fecal microbiome, and cardiometabolic risk factors. TMAO was measured in fasted plasma samples by liquid chromatography mass spectrometry. The fecal microbiome was assessed by 16S ribosomal RNA sequencing and recent food intake was captured by multiple ASA24 dietary recalls. Endothelial function was assessed via EndoPAT. Descriptive statistics were computed by fasting plasma TMAO tertiles and evaluated by ANOVA and Tukey's post-hoc test. Multiple linear regression was used to assess the relationship between plasma TMAO and dietary food intake and metabolic health parameters. TMAO concentrations were not associated with average intake of animal protein foods, fruits, vegetables, dairy, or grains. TMAO was related to the fecal microbiome and the genera Butyribrio, Roseburia, Coprobaciullus, and Catenibacterium were enriched in individuals in the lowest versus the highest TMAO tertile. TMAO was positively associated with α-diversity and compositional differences were identified between groups. TMAO was not associated with classic cardiovascular risk factors in the healthy cohort. Similarly, endothelial function was not related to fasting TMAO, whereas the inflammatory marker TNF-α was significantly associated. Fasting plasma TMAO may not be a metabolite of concern in generally healthy adults unmedicated for chronic disease. Prospective studies in healthy individuals are necessary.
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