51
|
Thongprayoon C, Vuckovic I, Vaughan LE, Macura S, Larson NB, D’Costa MR, Lieske JC, Rule AD, Denic A. Nuclear Magnetic Resonance Metabolomic Profiling and Urine Chemistries in Incident Kidney Stone Formers Compared with Controls. J Am Soc Nephrol 2022; 33:2071-2086. [PMID: 36316097 PMCID: PMC9678037 DOI: 10.1681/asn.2022040416] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/03/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The urine metabolites and chemistries that contribute to kidney stone formation are not fully understood. This study examined differences between the urine metabolic and chemistries profiles of first-time stone formers and controls. METHODS High-resolution 1H-nuclear magnetic resonance (NMR) spectroscopy-based metabolomic analysis was performed in 24-hour urine samples from a prospective cohort of 418 first-time symptomatic kidney stone formers and 440 controls. In total, 48 NMR-quantified metabolites in addition to 12 standard urine chemistries were assayed. Analysis of covariance was used to determine the association of stone former status with urine metabolites or chemistries after adjusting for age and sex and correcting for the false discovery rate. Gradient-boosted machine methods with nested cross-validation were applied to predict stone former status. RESULTS Among the standard urine chemistries, stone formers had lower urine oxalate and potassium and higher urine calcium, phosphate, and creatinine. Among NMR urine metabolites, stone formers had lower hippuric acid, trigonelline, 2-furoylglycine, imidazole, and citrate and higher creatine and alanine. A cross-validated model using urine chemistries, age, and sex yielded a mean AUC of 0.76 (95% CI, 0.73 to 0.79). A cross-validated model using urine chemistries, NMR-quantified metabolites, age, and sex did not meaningfully improve the discrimination (mean AUC, 0.78; 95% CI, 0.75 to 0.81). In this combined model, among the top ten discriminating features, four were urine chemistries and six NMR-quantified metabolites. CONCLUSIONS Although NMR-quantified metabolites did not improve discrimination, several urine metabolic profiles were identified that may improve understanding of kidney stone pathogenesis.
Collapse
Affiliation(s)
| | - Ivan Vuckovic
- Metabolomics Core, Mayo Clinic, Rochester, Minnesota
| | - Lisa E. Vaughan
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Slobodan Macura
- Metabolomics Core, Mayo Clinic, Rochester, Minnesota
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota
| | - Nicholas B. Larson
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Matthew R. D’Costa
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
| | - John C. Lieske
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota
| | - Andrew D. Rule
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
- Division of Epidemiology, Mayo Clinic, Rochester, Minnesota
| | - Aleksandar Denic
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
| |
Collapse
|
52
|
Diener C, Dai CL, Wilmanski T, Baloni P, Smith B, Rappaport N, Hood L, Magis AT, Gibbons SM. Genome-microbiome interplay provides insight into the determinants of the human blood metabolome. Nat Metab 2022; 4:1560-1572. [PMID: 36357685 PMCID: PMC9691620 DOI: 10.1038/s42255-022-00670-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/30/2022] [Indexed: 11/12/2022]
Abstract
Variation in the blood metabolome is intimately related to human health. However, few details are known about the interplay between genetics and the microbiome in explaining this variation on a metabolite-by-metabolite level. Here, we perform analyses of variance for each of 930 blood metabolites robustly detected across a cohort of 1,569 individuals with paired genomic and microbiome data while controlling for a number of relevant covariates. We find that 595 (64%) of these blood metabolites are significantly associated with either host genetics or the gut microbiome, with 69% of these associations driven solely by the microbiome, 15% driven solely by genetics and 16% under hybrid genome-microbiome control. Additionally, interaction effects, where a metabolite-microbe association is specific to a particular genetic background, are quite common, albeit with modest effect sizes. This knowledge will help to guide targeted interventions designed to alter the composition of the human blood metabolome.
Collapse
Affiliation(s)
| | | | | | | | - Brett Smith
- Institute for Systems Biology, Seattle, WA, USA
| | | | - Leroy Hood
- Institute for Systems Biology, Seattle, WA, USA
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | | | - Sean M Gibbons
- Institute for Systems Biology, Seattle, WA, USA.
- Department of Bioengineering, University of Washington, Seattle, WA, USA.
- eScience Institute, University of Washington, Seattle, WA, USA.
| |
Collapse
|
53
|
Multi-omic phenotyping reveals host-microbe responses to bariatric surgery, glycaemic control and obesity. COMMUNICATIONS MEDICINE 2022; 2:127. [PMID: 36217535 PMCID: PMC9546886 DOI: 10.1038/s43856-022-00185-6] [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: 12/14/2021] [Accepted: 09/12/2022] [Indexed: 11/05/2022] Open
Abstract
Background Resolution of type 2 diabetes (T2D) is common following bariatric surgery, particularly Roux-en-Y gastric bypass. However, the underlying mechanisms have not been fully elucidated. Methods To address this we compare the integrated serum, urine and faecal metabolic profiles of participants with obesity ± T2D (n = 80, T2D = 42) with participants who underwent Roux-en-Y gastric bypass or sleeve gastrectomy (pre and 3-months post-surgery; n = 27), taking diet into account. We co-model these data with shotgun metagenomic profiles of the gut microbiota to provide a comprehensive atlas of host-gut microbe responses to bariatric surgery, weight-loss and glycaemic control at the systems level. Results Here we show that bariatric surgery reverses several disrupted pathways characteristic of T2D. The differential metabolite set representative of bariatric surgery overlaps with both diabetes (19.3% commonality) and body mass index (18.6% commonality). However, the percentage overlap between diabetes and body mass index is minimal (4.0% commonality), consistent with weight-independent mechanisms of T2D resolution. The gut microbiota is more strongly correlated to body mass index than T2D, although we identify some pathways such as amino acid metabolism that correlate with changes to the gut microbiota and which influence glycaemic control. Conclusion We identify multi-omic signatures associated with responses to surgery, body mass index, and glycaemic control. Improved understanding of gut microbiota - host co-metabolism may lead to novel therapies for weight-loss or diabetes. However, further experiments are required to provide mechanistic insight into the role of the gut microbiota in host metabolism and establish proof of causality. Weight-loss surgery is a highly effective treatment of type 2 diabetes in people with obesity. Interestingly, the improvement in diabetes after weight-loss surgery occurs before any significant weight-loss. Through better understanding of this metabolic improvement, weight-loss surgery provides a unique avenue to identify novel ways of treating diabetes and obesity. Here we combine measurements of metabolism, gut bacteria and diet in people with obesity, with or without type 2 diabetes and in patients before and after weight-loss surgery. We have used these data to identify changes associated with weight-loss surgery, obesity and diabetes. Improved understanding of the mechanisms behind these changes, including how changes to gut bacteria influence metabolism, may lead to new treatments for weight-loss or diabetes. Penney et al. conduct microbial and metabolic profiling in people with obesity, with or without type 2 diabetes, undergoing two types of bariatric surgery. Integrative analysis identifies multi-omic signatures associated with response to surgery, body mass index, and glycaemic control.
Collapse
|
54
|
Gruzieva O, Jeong A, He S, Yu Z, de Bont J, Pinho MGM, Eze IC, Kress S, Wheelock CE, Peters A, Vlaanderen J, de Hoogh K, Scalbert A, Chadeau-Hyam M, Vermeulen RCH, Gehring U, Probst-Hensch N, Melén E. Air pollution, metabolites and respiratory health across the life-course. Eur Respir Rev 2022; 31:220038. [PMID: 35948392 PMCID: PMC9724796 DOI: 10.1183/16000617.0038-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/09/2022] [Indexed: 11/05/2022] Open
Abstract
Previous studies have explored the relationships of air pollution and metabolic profiles with lung function. However, the metabolites linking air pollution and lung function and the associated mechanisms have not been reviewed from a life-course perspective. Here, we provide a narrative review summarising recent evidence on the associations of metabolic profiles with air pollution exposure and lung function in children and adults. Twenty-six studies identified through a systematic PubMed search were included with 10 studies analysing air pollution-related metabolic profiles and 16 studies analysing lung function-related metabolic profiles. A wide range of metabolites were associated with short- and long-term exposure, partly overlapping with those linked to lung function in the general population and with respiratory diseases such as asthma and COPD. The existing studies show that metabolomics offers the potential to identify biomarkers linked to both environmental exposures and respiratory outcomes, but many studies suffer from small sample sizes, cross-sectional designs, a preponderance on adult lung function, heterogeneity in exposure assessment, lack of confounding control and omics integration. The ongoing EXposome Powered tools for healthy living in urbAN Settings (EXPANSE) project aims to address some of these shortcomings by combining biospecimens from large European cohorts and harmonised air pollution exposure and exposome data.
Collapse
Affiliation(s)
- Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
- Both authors contributed equally to this article
| | - Ayoung Jeong
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- Both authors contributed equally to this article
| | - Shizhen He
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Zhebin Yu
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jeroen de Bont
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Maria G M Pinho
- Dept of Epidemiology and Data Science, Amsterdam Public Health, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands
| | - Ikenna C Eze
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Sara Kress
- IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Craig E Wheelock
- Unit of Integrative Metabolomics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Dept of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden
- Gunma University Initiative for Advanced Research (GIAR), Gunma University, Maebashi, Japan
| | - Annette Peters
- Institute of Epidemiology, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Jelle Vlaanderen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Augustin Scalbert
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Marc Chadeau-Hyam
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Imperial College London, London, UK
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- These authors contributed equally to this article
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
- These authors contributed equally to this article
| | - Erik Melén
- Dept of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs Children's Hospital, Stockholm, Sweden
- These authors contributed equally to this article
| |
Collapse
|
55
|
Das A, Sahu W, Ojha DK, Reddy KS, Suar M. Comparative Analysis of Host Metabolic Alterations in Murine Malaria Models with Uncomplicated or Severe Malaria. J Proteome Res 2022; 21:2261-2276. [PMID: 36169658 DOI: 10.1021/acs.jproteome.2c00123] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Malaria varies in severity, with complications ranging from uncomplicated to severe malaria. Severe malaria could be attributed to peripheral hyperparasitemia or cerebral malaria. The metabolic interactions between the host and Plasmodium species are yet to be understood during these infections of varied pathology and severity. An untargeted metabolomics approach utilizing the liquid chromatography-mass spectrometry platform has been used to identify the affected host metabolic pathways and associated metabolites in the serum of murine malaria models with uncomplicated malaria, hyperparasitemia, and experimental cerebral malaria. We report that mice with malaria share similar metabolic attributes like higher levels of bile acids, bile pigments, and steroid hormones that have been reported for human malaria infections. Moreover, in severe malaria, upregulated levels of metabolites like phenylalanine, histidine, valine, pipecolate, ornithine, and pantothenate, with decreased levels of arginine and hippurate, were observed. Metabolites of sphingolipid metabolism were upregulated in experimental cerebral malaria. Higher levels of 20-hydroxy-leukotriene B4 and epoxyoctadecamonoenoic acids were found in uncomplicated malaria, with lower levels observed for experimental cerebral malaria. Our study provides insights into host biology during different pathological stages of malaria disease and would be useful for the selection of animal models for evaluating diagnostic and therapeutic interventions against malaria. The raw data files are available via MetaboLights with the identifier MTBLS4387.
Collapse
Affiliation(s)
- Aleena Das
- School of Biotechnology, Kalinga Institute of Industrial Technology (Deemed University), Bhubaneswar751024, India.,Technology Business Incubator, Kalinga Institute of Industrial Technology (Deemed University), Bhubaneswar751024, India
| | - Welka Sahu
- School of Biotechnology, Kalinga Institute of Industrial Technology (Deemed University), Bhubaneswar751024, India
| | - Deepak Kumar Ojha
- School of Biotechnology, Kalinga Institute of Industrial Technology (Deemed University), Bhubaneswar751024, India
| | - K Sony Reddy
- School of Biotechnology, Kalinga Institute of Industrial Technology (Deemed University), Bhubaneswar751024, India
| | - Mrutyunjay Suar
- School of Biotechnology, Kalinga Institute of Industrial Technology (Deemed University), Bhubaneswar751024, India.,Technology Business Incubator, Kalinga Institute of Industrial Technology (Deemed University), Bhubaneswar751024, India
| |
Collapse
|
56
|
Tian Y, Rimal B, Gui W, Koo I, Smith PB, Yokoyama S, Patterson AD. Early Life Polychlorinated Biphenyl 126 Exposure Disrupts Gut Microbiota and Metabolic Homeostasis in Mice Fed with High-Fat Diet in Adulthood. Metabolites 2022; 12:metabo12100894. [PMID: 36295797 PMCID: PMC9609008 DOI: 10.3390/metabo12100894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/14/2022] [Accepted: 09/20/2022] [Indexed: 11/16/2022] Open
Abstract
Evidence supports the potential influence of persistent organic pollutants (POPs) on the pathogenesis and progression of obesity and diabetes. Diet-toxicant interactions appear to be important in diet-induced obesity/diabetes; however, the factors influencing this interaction, especially the early life environmental exposure, are unclear. Herein, we investigated the metabolic effects following early life five-day exposure (24 μg/kg body weight per day) to 3,3′,4,4′,5-pentacholorobiphenyl (PCB 126) at four months after exposure in mice fed with control (CTRL) or high-fat diet (HFD). Activation of aryl hydrocarbon receptor (AHR) signaling as well as higher levels of liver nucleotides were observed at 4 months after PCB 126 exposure in mice, independent of diet status. Inflammatory responses including higher levels of serum cytokines and adipose inflammatory gene expression caused by early life PCB 126 were observed only in HFD-fed mice in adulthood. Notably, early life PCB 126 exposure worsened HFD-induced impaired glucose homeostasis characterized by glucose intolerance and elevated gluconeogenesis and tricarboxylic acid (TCA) cycle flux without worsening the effects of HFD related to adiposity in adulthood. Furthermore, early life PCB 126 exposure resulted in diet-dependent changes in bacterial community structure and function later in life, as indicated by metagenomic and metabolomic analyses. These data contribute to a more comprehensive understanding of the interactions between diet and early life environmental chemical exposure.
Collapse
Affiliation(s)
- Yuan Tian
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Bipin Rimal
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Wei Gui
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Imhoi Koo
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Philip B. Smith
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Shigetoshi Yokoyama
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Andrew D. Patterson
- Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802, USA
- Correspondence:
| |
Collapse
|
57
|
Lind L, Sundström J, Elmståhl S, Dekkers KF, Smith JG, Engström G, Fall T, Ärnlöv J. The metabolomic profile associated with clustering of cardiovascular risk factors—A multi-sample evaluation. PLoS One 2022; 17:e0274701. [PMID: 36107885 PMCID: PMC9477278 DOI: 10.1371/journal.pone.0274701] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/01/2022] [Indexed: 11/18/2022] Open
Abstract
Background
A clustering of cardiovascular risk factors is denoted the metabolic syndrome (MetS), but the mechanistic underpinnings of this clustering is not clear. Using large-scale metabolomics, we aimed to find a metabolic profile common for all five components of MetS.
Methods and findings
791 annotated non-xenobiotic metabolites were measured by ultra-performance liquid chromatography tandem mass spectrometry in five different population-based samples (Discovery samples: EpiHealth, n = 2342 and SCAPIS-Uppsala, n = 4985. Replication sample: SCAPIS-Malmö, n = 3978, Characterization samples: PIVUS, n = 604 and POEM, n = 501). MetS was defined by the NCEP/consensus criteria. Fifteen metabolites were related to all five components of MetS (blood pressure, waist circumference, glucose, HDL-cholesterol and triglycerides) at a false discovery rate of <0.05 with adjustments for BMI and several life-style factors. They represented different metabolic classes, such as amino acids, simple carbohydrates, androgenic steroids, corticosteroids, co-factors and vitamins, ceramides, carnitines, fatty acids, phospholipids and metabolonic lactone sulfate. All 15 metabolites were related to insulin sensitivity (Matsuda index) in POEM, but only Palmitoyl-oleoyl-GPE (16:0/18:1), a glycerophospholipid, was related to incident cardiovascular disease over 8.6 years follow-up in the EpiHealth sample following adjustment for cardiovascular risk factors (HR 1.32 for a SD change, 95%CI 1.07–1.63).
Conclusion
A complex metabolic profile was related to all cardiovascular risk factors included in MetS independently of BMI. This profile was also related to insulin sensitivity, which provide further support for the importance of insulin sensitivity as an important underlying mechanism in the clustering of cardiovascular risk factors.
Collapse
Affiliation(s)
- Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- * E-mail:
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Sölve Elmståhl
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Koen F. Dekkers
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - J. Gustav Smith
- Department of Cardiology, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden
- Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University, Gothenburg, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, Lund, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Tove Fall
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Ärnlöv
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Huddinge, Sweden
- School of Health and Social Studies, Dalarna University, Falun, Sweden
| |
Collapse
|
58
|
Thompson LE, Joy MS. Endogenous markers of kidney function and renal drug clearance processes of filtration, secretion, and reabsorption. CURRENT OPINION IN TOXICOLOGY 2022; 31:100344. [PMID: 36777447 PMCID: PMC9910221 DOI: 10.1016/j.cotox.2022.03.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
The kidneys are responsible for maintaining physiologic homeostasis. The kidneys clear a variety of drugs and other substances through passive (filtration) and active processes that utilize transport proteins. Renal clearance is comprised of the processes of glomerular filtration, tubular secretion, and tubular reabsorption. Endogenous biomarkers, such as creatinine and cystatin C, are routinely used to estimate renal clearance. Understanding the contributing components of renal function and clearance, through the use of biomarkers, is necessary in elucidating the renal pharmacology of drugs and other substances. While exogenous markers of kidney function have been known for decades, several complexities have limited their usage. Several endogenous markers are being evaluated and hold promise to elucidate the individual components of kidney function that represent filtration, secretion, and reabsorption.
Collapse
Affiliation(s)
- Lauren E. Thompson
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Melanie S. Joy
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA,Division of Renal Diseases, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| |
Collapse
|
59
|
Zhao H, Wang D, Zhang Z, Xian J, Bai X. Effect of Gut Microbiota-Derived Metabolites on Immune Checkpoint Inhibitor Therapy: Enemy or Friend? Molecules 2022; 27:molecules27154799. [PMID: 35956752 PMCID: PMC9369921 DOI: 10.3390/molecules27154799] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/18/2022] [Accepted: 07/25/2022] [Indexed: 11/16/2022] Open
Abstract
The human gut is inhabited by hundreds of billions of commensal microbiota that collectively produce thousands of small molecules and metabolites with local and systemic effects on the physiology of the host. Much evidence from preclinical to clinical studies has gradually confirmed that the gut microbiota can regulate anti-tumor immunity and affect the efficacy of cancer immune checkpoint inhibitors (ICIs) therapy. In particular, one of the main modes of gut microbiota regulating anti-tumor immunity is through metabolites, which are small molecules that can be transported in the body and act on local and systemic anti-tumor immune responses to promote ICIs immunotherapy efficacy. We discuss the functions of microbial metabolites in humans, focusing on the effects and mechanisms of microbial metabolites on immunotherapy, and analyze their potential applications as immune adjuvants and therapeutic targets to regulate immunity and enhance ICIs. In summary, this review provides the basis for the rational design of microbiota and microbial metabolite-based strategies of enhancing ICIs.
Collapse
Affiliation(s)
- Haobin Zhao
- Department of General Practice, People’s Hospital of Longhua, Shenzhen 518109, China; (H.Z.); (Z.Z.); (J.X.)
| | - Di Wang
- Department of Gastroenterology, People’s Hospital of Longhua, Shenzhen 518109, China;
| | - Zhifu Zhang
- Department of General Practice, People’s Hospital of Longhua, Shenzhen 518109, China; (H.Z.); (Z.Z.); (J.X.)
| | - Junfang Xian
- Department of General Practice, People’s Hospital of Longhua, Shenzhen 518109, China; (H.Z.); (Z.Z.); (J.X.)
| | - Xiaosu Bai
- Department of General Practice, People’s Hospital of Longhua, Shenzhen 518109, China; (H.Z.); (Z.Z.); (J.X.)
- Correspondence: ; Tel./Fax: +86-755-29407559
| |
Collapse
|
60
|
Early Life Short-Term Exposure to Polychlorinated Biphenyl 126 in Mice Leads to Metabolic Dysfunction and Microbiota Changes in Adulthood. Int J Mol Sci 2022; 23:ijms23158220. [PMID: 35897801 PMCID: PMC9330872 DOI: 10.3390/ijms23158220] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 01/02/2023] Open
Abstract
Early life exposure to environmental pollutants may have long-term consequences and harmful impacts on health later in life. Here, we investigated the short- and long-term impact of early life 3,3′,4,4′,5-pentacholorobiphenyl (PCB 126) exposure (24 μg/kg body weight for five days) in mice on the host and gut microbiota using 16S rRNA gene sequencing, metagenomics, and 1H NMR- and mass spectrometry-based metabolomics. Induction of Cyp1a1, an aryl hydrocarbon receptor (AHR)-responsive gene, was observed at 6 days and 13 weeks after PCB 126 exposure consistent with the long half-life of PCB 126. Early life, Short-Term PCB 126 exposure resulted in metabolic abnormalities in adulthood including changes in liver amino acid and nucleotide metabolism as well as bile acid metabolism and increased hepatic lipogenesis. Interestingly, early life PCB 126 exposure had a greater impact on bacteria in adulthood at the community structure, metabolic, and functional levels. This study provides evidence for an association between early life environmental pollutant exposure and increased risk of metabolic disorders later in life and suggests the microbiome is a key target of environmental chemical exposure.
Collapse
|
61
|
Meyer RK, Bime MA, Duca FA. Small intestinal metabolomics analysis reveals differentially regulated metabolite profiles in obese rats and with prebiotic supplementation. Metabolomics 2022; 18:60. [PMID: 35871176 PMCID: PMC10234511 DOI: 10.1007/s11306-022-01920-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 07/07/2022] [Indexed: 10/16/2022]
Abstract
INTRODUCTION Obesity occurs partly due to consumption of a high-fat, high-sugar and low fiber diet and is associated with an altered gut microbiome. Prebiotic supplementation can reverse obesity and beneficially alter the gut microbiome, evidenced by previous studies in rodents. However, the role of the small intestinal metabolome in obese and prebiotic supplemented rodents has never been investigated. OBJECTIVES To investigate and compare the small intestinal metabolome of healthy and obese rats, as well as obese rats supplemented with the prebiotic oligofructose (OFS). METHODS Untargeted metabolomics was performed on small intestinal contents of healthy chow-fed, high fat diet-induced obese, and obese rats supplemented with oligofructose using UPLC-MS/MS. Quantification of enterohepatic bile acids was performed with UPLC-MS to determine specific effects of obesity and fiber supplementation on the bile acid pool composition. RESULTS The small intestinal metabolome of obese rats was distinct from healthy rats. OFS supplementation did not significantly alter the small intestinal metabolome but did alter levels of several metabolites compared to obese rats, including bile acid metabolites, amino acid metabolites, and metabolites related to the gut microbiota. Further, obese rats had lower total bile acids and increased taurine-conjugated bile acid species in enterohepatic circulation; this effect was reversed with OFS supplementation in high fat-feeding. CONCLUSION Obesity is associated with a distinct small intestinal metabolome, and OFS supplementation reverses some metabolite levels that were altered in obese rats. Future research into the effects of specific metabolites identified in this study will provide deeper insight into the mechanism of fiber supplementation on improved body weight.
Collapse
Affiliation(s)
- Rachel K Meyer
- School of Nutritional Sciences and Wellness, University of Arizona, ACBS Building, 1117 E Lowell Street, Tucson, AZ, 85711, USA
| | - Megan A Bime
- KEYS Program, BIO5 Institute, University of Arizona, Tucson, USA
| | - Frank A Duca
- BIO5 Institute, University of Arizona, Tucson, USA.
- Department of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, USA.
| |
Collapse
|
62
|
Gunjur A, Manrique‐Rincón AJ, Klein O, Behren A, Lawley TD, Welsh SJ, Adams DJ. 'Know thyself' - host factors influencing cancer response to immune checkpoint inhibitors. J Pathol 2022; 257:513-525. [PMID: 35394069 PMCID: PMC9320825 DOI: 10.1002/path.5907] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/01/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022]
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionised oncology and are now standard-of-care for the treatment of a wide variety of solid neoplasms. However, tumour responses remain unpredictable, experienced by only a minority of ICI recipients across malignancy types. Therefore, there is an urgent need for better predictive biomarkers to identify a priori the patients most likely to benefit from these therapies. Despite considerable efforts, only three such biomarkers are FDA-approved for clinical use, and all rely on the availability of tumour tissue for immunohistochemical staining or genomic assays. There is emerging evidence that host factors - for example, genetic, metabolic, and immune factors, as well as the composition of one's gut microbiota - influence the response of a patient's cancer to ICIs. Tantalisingly, some of these factors are modifiable, paving the way for co-therapies that may enhance the therapeutic index of these treatments. Herein, we review key host factors that are of potential biomarker value for response to ICI therapy, with a particular focus on the proposed mechanisms for these influences. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Collapse
Affiliation(s)
- Ashray Gunjur
- Experimental Cancer Genetics, Wellcome Sanger InstituteHinxtonUK,Olivia Newton‐John Cancer Research InstituteLa Trobe University School of Cancer MedicineHeidelbergAustralia
| | - Andrea J Manrique‐Rincón
- Experimental Cancer Genetics, Wellcome Sanger InstituteHinxtonUK,Cambridge Institute of Therapeutic Immunology & Infectious Disease, Department of MedicineUniversity of CambridgeCambridgeUK
| | - Oliver Klein
- Olivia Newton‐John Cancer Research InstituteLa Trobe University School of Cancer MedicineHeidelbergAustralia,Department of Medical OncologyAustin HealthHeidelbergAustralia
| | - Andreas Behren
- Olivia Newton‐John Cancer Research InstituteLa Trobe University School of Cancer MedicineHeidelbergAustralia,Department of MedicineUniversity of MelbourneParkvilleAustralia
| | | | - Sarah J Welsh
- Department of SurgeryUniversity of CambridgeCambridgeUK,Cambridge University Hospitals NHS Foundation TrustCambridgeUK
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Sanger InstituteHinxtonUK
| |
Collapse
|
63
|
Sources of Variation in Food-Related Metabolites during Pregnancy. Nutrients 2022; 14:nu14122503. [PMID: 35745237 PMCID: PMC9227758 DOI: 10.3390/nu14122503] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/10/2022] [Accepted: 06/14/2022] [Indexed: 12/04/2022] Open
Abstract
The extent to which variation in food-related metabolites are attributable to non-dietary factors remains unclear, which may explain inconsistent food-metabolite associations observed in population studies. This study examined the association between non-dietary factors and the serum concentrations of food-related biomarkers and quantified the amount of variability in metabolite concentrations explained by non-dietary factors. Pregnant women (n = 600) from two Canadian birth cohorts completed a validated semi-quantitative food frequency questionnaire, and serum metabolites were measured by multisegment injection-capillary electrophoresis-mass spectrometry. Hierarchical linear modelling and principal component partial R-square (PC-PR2) were used for data analysis. For proline betaine and DHA (mainly exogenous), citrus foods and fish/fish oil intake, respectively, explained the highest proportion of variability relative to non-dietary factors. The unique contribution of dietary factors was similar (15:0, 17:0, hippuric acid, TMAO) or lower (14:0, tryptophan betaine, 3-methylhistidine, carnitine) compared to non-dietary factors (i.e., ethnicity, maternal age, gestational age, pre-pregnancy BMI, physical activity, and smoking) for metabolites that can either be produced endogenously, biotransformed by gut microbiota, and/or derived from multiple food sources. The results emphasize the importance of adjusting for non-dietary factors in future analyses to improve the accuracy and precision of the measures of food intake and their associations with health and disease.
Collapse
|
64
|
Chen SJ, Chen CC, Liao HY, Wu YW, Liou JM, Wu MS, Kuo CH, Lin CH. Alteration of Gut Microbial Metabolites in the Systemic Circulation of Patients with Parkinson's Disease. JOURNAL OF PARKINSON'S DISEASE 2022; 12:1219-1230. [PMID: 35342048 DOI: 10.3233/jpd-223179] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Emerging evidence suggests that gut dysbiosis contributes to Parkinson's disease (PD) by signaling through microbial metabolites. Hippuric acid (HA), indole derivatives, and secondary bile acids are among the most common gut metabolites. OBJECTIVE To examine the relationship of systemic concentrations of these microbial metabolites associated with changes of gut microbiota, PD status, and severity of PD. METHODS We enrolled 56 patients with PD and 43 age- and sex-matched healthy participants. Motor and cognitive severity were assessed with Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III motor score and the Mini-Mental State Examination (MMSE), respectively. Plasma concentrations of targeted gut metabolites were measured with liquid chromatography-tandem mass spectrometry. Gut microbiota was analyzed with shotgun metagenomic sequencing. RESULTS Compared with controls, PD patients had significantly higher plasma levels of HA, indole-3-propionic acid (IPA), deoxycholic acid (DCA), and glycodeoxycholic acid (GDCA). After adjustment for age and sex in a multivariate logistic regression analysis, plasma levels of HA (odds ratio [OR] 3.21, p < 0.001), IPA (OR 2.59, p = 0.031), and GDCA (OR 2.82, p = 0.036) were associated with positive PD status. Concentrations of these gut metabolites did not correlate with MDS-UPDRS part III score or MMSE after adjustment for confounders. Microbial metabolite levels were associated with the relative abundance of pro-inflammatory gut bacteria. CONCLUSION Aberrant gut microbial metabolites of HA, indole derivatives and secondary bile acids associated with specific gut microbiota changes were observed in patients with PD.
Collapse
Affiliation(s)
- Szu-Ju Chen
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Neurology, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan.,Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chieh-Chang Chen
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.,Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsin-Yu Liao
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yu-Wei Wu
- Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Jyh-Ming Liou
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Shiang Wu
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ching-Hua Kuo
- School of Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.,The Metabolomics Core Laboratory, NTU Centers of Genomic and Precision Medicine, National Taiwan University, Taipei, Taiwan.,Department of Pharmacy, National Taiwan University Hospital, Taipei, Taiwan
| | - Chin-Hsien Lin
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| |
Collapse
|
65
|
Fang S, Wade KH, Hughes DA, Fitzgibbon S, Yip V, Timpson NJ, Corbin LJ. A multivariant recall-by-genotype study of the metabolomic signature of BMI. Obesity (Silver Spring) 2022; 30:1298-1310. [PMID: 35598895 PMCID: PMC9324973 DOI: 10.1002/oby.23441] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE This study estimated the effect of BMI on circulating metabolites in young adults using a recall-by-genotype study design. METHODS A recall-by-genotype study was implemented in the Avon Longitudinal Study of Parents and Children. Samples from 756 participants were selected for untargeted metabolomics analysis based on low versus high genetic liability for higher BMI defined by a genetic risk score (GRS). Regression analyses were performed to investigate associations between BMI GRS group and relative abundance of 973 metabolites. RESULTS After correction for multiple testing, 29 metabolites were associated with BMI GRS group. Bilirubin was among the most strongly associated metabolites, with reduced levels measured in individuals in the high-BMI GRS group (β = -0.32, 95% CI: -0.46 to -0.18, Benjamini-Hochberg adjusted p = 0.005). This study observed associations between BMI GRS group and the levels of several potentially diet-related metabolites, including hippurate, which had lower mean abundance in individuals in the high-BMI GRS group (β = -0.29, 95% CI: -0.44 to -0.15, Benjamini-Hochberg adjusted p = 0.008). CONCLUSIONS Together with existing literature, these results suggest that a genetic predisposition to higher BMI captures differences in metabolism leading to adiposity gain. In the absence of prospective data, separating these effects from the downstream consequences of weight gain is challenging.
Collapse
Affiliation(s)
- Si Fang
- MRC Integrative Epidemiology Unit at the University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| | - Kaitlin H. Wade
- MRC Integrative Epidemiology Unit at the University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| | - David A. Hughes
- MRC Integrative Epidemiology Unit at the University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| | - Sophie Fitzgibbon
- Bristol Bioresource LaboratoriesPopulation Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| | - Vikki Yip
- Bristol Bioresource LaboratoriesPopulation Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| | - Nicholas J. Timpson
- MRC Integrative Epidemiology Unit at the University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| | - Laura J. Corbin
- MRC Integrative Epidemiology Unit at the University of BristolBristolUK
- Population Health ScienceBristol Medical SchoolUniversity of BristolBristolUK
| |
Collapse
|
66
|
Association of Metabolomic Change and Treatment Response in Patients with Non-Alcoholic Fatty Liver Disease. Biomedicines 2022; 10:biomedicines10061216. [PMID: 35740238 PMCID: PMC9220113 DOI: 10.3390/biomedicines10061216] [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: 05/06/2022] [Revised: 05/19/2022] [Accepted: 05/20/2022] [Indexed: 01/27/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the major cause of chronic liver disease, yet cost-effective and non-invasive diagnostic tools to monitor the severity of the disease are lacking. We aimed to investigate the metabolomic changes in NAFLD associated with therapeutic responses. It was conducted in 63 patients with NAFLD who received either ezetimibe plus rosuvastatin or rosuvastatin monotherapy. The treatment response was determined by MRI performed at baseline and week 24. The metabolites were measured at baseline and week 12. In the combination group, a relative decrease in xanthine was associated with a good response to liver fat decrease, while a relative increase in choline was associated with a good response to liver stiffness. In the monotherapy group, the relative decreases in triglyceride (TG) 20:5_36:2, TG 18:1_38:6, acetylcarnitine (C2), fatty acid (FA) 18:2, FA 18:1, and docosahexaenoic acid were associated with a decrease in liver fat, while hexosylceramide (d18:2/16:0) and hippuric acid were associated with a decrease in liver stiffness. Models using the metabolite changes showed an AUC of >0.75 in receiver operating curve analysis for predicting an improvement in liver fat and stiffness. This approach revealed the physiological impact of drugs, suggesting the mechanism underlying the development of this disease.
Collapse
|
67
|
Desruelle AV, de Maistre S, Gaillard S, Richard S, Tardivel C, Martin JC, Blatteau JE, Boussuges A, Rives S, Risso JJ, Vallee N. Cecal Metabolomic Fingerprint of Unscathed Rats: Does It Reflect the Good Response to a Provocative Decompression? Front Physiol 2022; 13:882944. [PMID: 35655958 PMCID: PMC9152359 DOI: 10.3389/fphys.2022.882944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/27/2022] [Indexed: 11/23/2022] Open
Abstract
On one side, decompression sickness (DCS) with neurological disorders lead to a reshuffle of the cecal metabolome of rats. On the other side, there is also a specific and different metabolomic signature in the cecum of a strain of DCS-resistant rats, that are not exposed to hyperbaric protocol. We decide to study a conventional strain of rats that resist to an accident-provoking hyperbaric exposure, and we hypothesize that the metabolomic signature put forward may correspond to a physiological response adapted to the stress induced by diving. The aim is to verify and characterize whether the cecal compounds of rats resistant to the provocative dive have a cecal metabolomic signature different from those who do not dive. 35 asymptomatic diver rats are selected to be compared to 21 rats non-exposed to the hyperbaric protocol. Because our aim is essentially to study the differences in the cecal metabolome associated with the hyperbaric exposure, about half of the rats are fed soy and the other half of maize in order to better rule out the effect of the diet itself. Lower levels of IL-1β and glutathione peroxidase (GPX) activity are registered in blood of diving rats. No blood cell mobilization is noted. Conventional and ChemRICH approaches help the metabolomic interpretation of the 185 chemical compounds analyzed in the cecal content. Statistical analysis show a panel of 102 compounds diet related. 19 are in common with the hyperbaric protocol effect. Expression of 25 compounds has changed in the cecal metabolome of rats resistant to the provocative dive suggesting an alteration of biliary acids metabolism, most likely through actions on gut microbiota. There seem to be also weak changes in allocations dedicated to various energy pathways, including hormonal reshuffle. Some of the metabolites may also have a role in regulating inflammation, while some may be consumed for the benefit of oxidative stress management.
Collapse
Affiliation(s)
- Anne-Virginie Desruelle
- Institut de Recherche Biomédicale des Armées, Equipe de Recherche Subaquatique Opérationnelle, Toulon Cedex, France
| | - Sébastien de Maistre
- Service de Médecine Hyperbare Expertise Plongée, Hôpital d'Instruction des Armées Sainte-Anne, Toulon Cedex, France
| | | | | | - Catherine Tardivel
- C2VN, INRAE, INSERM, BIOMET, Aix Marseille University, Faculté de Médecine La Timone, Marseille, France
| | - Jean-Charles Martin
- C2VN, INRAE, INSERM, BIOMET, Aix Marseille University, Faculté de Médecine La Timone, Marseille, France
| | - Jean-Eric Blatteau
- Service de Médecine Hyperbare Expertise Plongée, Hôpital d'Instruction des Armées Sainte-Anne, Toulon Cedex, France
| | - Alain Boussuges
- Institut de Recherche Biomédicale des Armées, Equipe de Recherche Subaquatique Opérationnelle, Toulon Cedex, France
| | - Sarah Rives
- Institut de Recherche Biomédicale des Armées, Equipe de Recherche Subaquatique Opérationnelle, Toulon Cedex, France
| | - Jean-Jacques Risso
- Institut de Recherche Biomédicale des Armées, Equipe de Recherche Subaquatique Opérationnelle, Toulon Cedex, France
| | - Nicolas Vallee
- Institut de Recherche Biomédicale des Armées, Equipe de Recherche Subaquatique Opérationnelle, Toulon Cedex, France
- *Correspondence: Nicolas Vallee,
| |
Collapse
|
68
|
First-Void Urine Microbiome in Women with Chlamydia trachomatis Infection. Int J Mol Sci 2022; 23:ijms23105625. [PMID: 35628436 PMCID: PMC9143427 DOI: 10.3390/ijms23105625] [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: 04/14/2022] [Revised: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 11/30/2022] Open
Abstract
Background: Chlamydia trachomatis (CT) is the agent of the most common bacterial sexually transmitted infection worldwide. Until now, little information is available about the microbial composition of urine samples during CT urethritis. Therefore, in this study, we characterized the microbiome and metabolome profiles of first-void urines in a cohort of women with CT urethral infection attending an STI clinic. Methods: Based on CT positivity by nucleic acid amplification techniques on urine samples, the enrolled women were divided into two groups, i.e., “CT-negative” (n = 21) and “CT-positive” (n = 11). Urine samples were employed for (i) the microbiome profile analysis by means of 16s rRNA gene sequencing and (ii) the metabolome analysis by 1H-NMR. Results: Irrespective of CT infection, the microbiome of first-void urines was mainly dominated by Lactobacillus, L. iners and L. crispatus being the most represented species. CT-positive samples were characterized by reduced microbial biodiversity compared to the controls. Moreover, a significant reduction of the Mycoplasmataceae family—in particular, of the Ureaplasma parvum species—was observed during CT infection. The Chlamydia genus was positively correlated with urine hippurate and lactulose. Conclusions: These data can help elucidate the pathogenesis of chlamydial urogenital infections, as well as to set up innovative diagnostic and therapeutic approaches.
Collapse
|
69
|
Choi Y, Hoops SL, Thoma CJ, Johnson AJ. A Guide to Dietary Pattern-Microbiome Data Integration. J Nutr 2022; 152:1187-1199. [PMID: 35348723 PMCID: PMC9071309 DOI: 10.1093/jn/nxac033] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/27/2022] [Accepted: 02/11/2022] [Indexed: 11/13/2022] Open
Abstract
The human gut microbiome is linked to metabolic and cardiovascular disease risk. Dietary modulation of the human gut microbiome offers an attractive pathway to manipulate the microbiome to prevent microbiome-related disease. However, this promise has not been realized. The complex system of diet and microbiome interactions is poorly understood. Integrating observational human diet and microbiome data can help researchers and clinicians untangle the complex systems of interactions that predict how the microbiome will change in response to foods. The use of dietary patterns to assess diet-microbiome relations holds promise to identify interesting associations and result in findings that can directly translate into actionable dietary intake recommendations and eating plans. In this article, we first highlight the complexity inherent in both dietary and microbiome data and introduce the approaches generally used to explore diet and microbiome simultaneously in observational studies. Second, we review the food group and dietary pattern-microbiome literature focusing on dietary complexity-moving beyond nutrients. Our review identified a substantial and growing body of literature that explores links between the microbiome and dietary patterns. However, there was very little standardization of dietary collection and assessment methods across studies. The 54 studies identified in this review used ≥7 different methods to assess diet. Coupled with the variation in final dietary parameters calculated from dietary data (e.g., dietary indices, dietary patterns, food groups, etc.), few studies with shared methods and assessment techniques were available for comparison. Third, we highlight the similarities between dietary and microbiome data structures and present the possibility that multivariate and compositional methods, developed initially for microbiome data, could have utility when applied to dietary data. Finally, we summarize the current state of the art for diet-microbiome data integration and highlight ways dietary data could be paired with microbiome data in future studies to improve the detection of diet-microbiome signals.
Collapse
Affiliation(s)
- Yuni Choi
- Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN
| | - Susan L Hoops
- Department of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, MN
| | - Calvin J Thoma
- BioTechnology Institute, University of Minnesota, Saint Paul, MN
| | - Abigail J Johnson
- Division of Epidemiology and Community Health, University of Minnesota, School of Public Health, Minneapolis, MN
| |
Collapse
|
70
|
Tariq A, Chen J, Yu B, Boerwinkle E, Coresh J, Grams ME, Rebholz CM. Metabolomics of Dietary Acid Load and Incident Chronic Kidney Disease. J Ren Nutr 2022; 32:292-300. [PMID: 34294549 PMCID: PMC8766597 DOI: 10.1053/j.jrn.2021.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Revised: 04/29/2021] [Accepted: 05/15/2021] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Blood biomarkers of dietary intake are more objective than self-reported dietary intake. Metabolites associated with dietary acid load were previously identified in 2 chronic kidney disease (CKD) populations. We aimed to extend these findings to a general population, replicating their association with dietary acid load, and investigating whether the individual biomarkers were prospectively associated with incident CKD. METHODS Among 15,792 participants in the Atherosclerosis Risk in Communities cohort followed up from 1987 to 1989 (baseline) to 2019, we evaluated 3,844 black and white men and women with dietary and metabolomic data in cross-sectional and prospective analyses. We hypothesized that a higher dietary acid load (using equations for potential renal acid load and net endogenous acid production) was associated with lower serum levels of 12 previously identified metabolites: indolepropionylglycine, indolepropionate, N-methylproline, N-δ-acetylornithine, threonate, oxalate, chiro-inositol, methyl glucopyranoside, stachydrine, catechol sulfate, hippurate, and tartronate. In addition, we hypothesized that lower serum levels of these 12 metabolites were associated with higher risk of incident CKD. RESULTS Eleven out of 12 metabolites were significantly inversely associated with dietary acid load, after adjusting for demographics, socioeconomic status, health behaviors, health status, and estimated glomerular filtration rate: indolepropionylglycine, indolepropionate, N-methylproline, threonate, oxalate, chiro-inositol, catechol sulfate, hippurate, methyl glucopyranoside (α + β), stachydrine, and tartronate. N-methylproline was inversely associated with incident CKD (hazard ratio: 0.95, 95% confidence interval: 0.91, 0.99, P = .01). The metabolomic biomarkers of dietary acid load significantly improved prediction of elevated dietary acid load estimated using dietary data, beyond covariates (difference in C statistics: 0.021-0.077, P ≤ 1.08 × 10-3). CONCLUSION Inverse associations between candidate biomarkers of dietary acid load were replicated in a general population. N-methylproline, representative of citrus fruit consumption, is a promising marker of dietary acid load and could represent an important pathway between dietary acid load and CKD.
Collapse
Affiliation(s)
- Anam Tariq
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Jingsha Chen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, Texas
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, Texas
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Morgan E Grams
- Division of Nephrology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
| |
Collapse
|
71
|
Lim T, Lee K, Kim RH, Cha KH, Koo SY, Moon EC, Hwang KT. Black raspberry extract can lower serum LDL cholesterol via modulation of gut microbial composition and serum bile acid profile in rats fed trimethylamine-N-oxide with a high-fat diet. Food Sci Biotechnol 2022; 31:1041-1051. [PMID: 35873380 PMCID: PMC9300784 DOI: 10.1007/s10068-022-01079-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/17/2022] [Accepted: 03/29/2022] [Indexed: 12/23/2022] Open
Abstract
Blood trimethylamine-N-oxide (TMAO) has been associated with cardiovascular disease. Black raspberry (Rubus occidentalis, BR) has been regarded to be beneficial for cardiovascular health. This study aimed to investigate how BR extract affects serum lipid profile, gut microbial composition, metabolites in rats fed TMAO with a high-fat diet. Dietary TMAO increased serum LDL cholesterol, while BR extract decreased its level. α-Diversity of gut microbiota was not changed; however, in the rats fed TMAO, Macellibacteroides and Mucispirillum were enriched, while Ruminococcaceae was reduced. The BR supplementation could restore Macellibacteroides, Clostridium, and Ruminococcaceae. The BR supplementation increased cecal hippuric acid and serum farnesoid X receptor-antagonistic bile acids, including ursodeoxycholic acid (UDCA), tauro-α-muricholic acid, and tauro-UDCA. The BR supplementation tended to upregulate Cyp7a1 and Abcg5 expressions while downregulating Srebf2 and Hmgcr expressions. BR extract affects the gut bacterial community and microbial metabolites, lowering serum LDL cholesterol in rats with elevated serum TMAO. Supplementary Information The online version contains supplementary material available at 10.1007/s10068-022-01079-y.
Collapse
Affiliation(s)
- Taehwan Lim
- Department of Food and Nutrition, and Research Institute of Human Ecology, Seoul National University, Seoul, 08826 South Korea
| | - Kiuk Lee
- Department of Food and Nutrition, and Research Institute of Human Ecology, Seoul National University, Seoul, 08826 South Korea
| | - Ryun Hee Kim
- Department of Food and Nutrition, and Research Institute of Human Ecology, Seoul National University, Seoul, 08826 South Korea
- BK21 FOUR Education and Research Team for Sustainable Food & Nutrition, Seoul National University, Seoul, 08826 South Korea
| | - Kwang Hyun Cha
- Natural Product Informatics Center, KIST Gangneung Institute of Natural Products, Gangneung, 25451 South Korea
| | - Song Yi Koo
- Department of Food and Nutrition, and Research Institute of Human Ecology, Seoul National University, Seoul, 08826 South Korea
- Natural Product Informatics Center, KIST Gangneung Institute of Natural Products, Gangneung, 25451 South Korea
| | - Eun Chae Moon
- Department of Food and Nutrition, and Research Institute of Human Ecology, Seoul National University, Seoul, 08826 South Korea
| | - Keum Taek Hwang
- Department of Food and Nutrition, and Research Institute of Human Ecology, Seoul National University, Seoul, 08826 South Korea
- BK21 FOUR Education and Research Team for Sustainable Food & Nutrition, Seoul National University, Seoul, 08826 South Korea
| |
Collapse
|
72
|
Hang D, Zeleznik OA, Lu J, Joshi AD, Wu K, Hu Z, Shen H, Clish CB, Liang L, Eliassen AH, Ogino S, Meyerhardt JA, Chan AT, Song M. Plasma metabolomic profiles for colorectal cancer precursors in women. Eur J Epidemiol 2022; 37:413-422. [PMID: 35032257 PMCID: PMC9189062 DOI: 10.1007/s10654-021-00834-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 12/17/2021] [Indexed: 01/26/2023]
Abstract
How metabolome changes influence the early process of colorectal cancer (CRC) development remains unknown. We conducted a 1:2 matched nested case-control study to examine the associations of pre-diagnostic plasma metabolome (profiled using LC-MS) with risk of CRC precursors, including conventional adenomas (n = 586 vs. 1141) and serrated polyps (n = 509 vs. 993), in the Nurses' Health Study (NHS) and NHSII. Conditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). We used the permutation-based Westfall and Young approach to account for multiple testing. Subgroup analyses were performed for advanced conventional adenomas (defined as at least one adenoma of ≥ 10 mm or with high-grade dysplasia, or tubulovillous or villous histology) and high-risk serrated polyps that were located in the proximal colon or with size of ≥ 10 mm. After multiple testing correction, among 207 metabolites, higher levels of C36:3 phosphatidylcholine (PC) plasmalogen were associated with lower risk of conventional adenomas, with the OR (95% CI) comparing the 90th to the 10th percentile of 0.62 (0.48-0.81); C54:8 triglyceride (TAG) was associated with higher risk of serrated polyps (OR = 1.79, 95% CI: 1.31-2.43), and phenylacetylglutamine (PAG) was associated with lower risk (OR = 0.57, 95% CI:0.43-0.77). PAG was also inversely associated with advanced adenomas (OR = 0.57, 95% CI: 0.36-0.89) and high-risk serrated polyps (OR = 0.54, 95% CI: 0.32-0.89), although the multiple testing-corrected p value was > 0.05. Our findings suggest potential roles of lipid metabolism and phenylacetylglutamine, a microbial metabolite, in the early stage of colorectal carcinogenesis, particularly for the serrated pathway.
Collapse
Affiliation(s)
- Dong Hang
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jiayi Lu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Zhibin Hu
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - A Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shuji Ogino
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Dana-Farber Harvard Cancer Center, Cancer Immunology Program, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | | | - Andrew T Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA.
- Clinical and Translational Epidemiology Unit and Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| |
Collapse
|
73
|
Murthy VL, Nayor M, Carnethon M, Reis JP, Lloyd-Jones D, Allen NB, Kitchen R, Piaggi P, Steffen LM, Vasan RS, Freedman JE, Clish CB, Shah RV. Circulating metabolite profile in young adulthood identifies long-term diabetes susceptibility: the Coronary Artery Risk Development in Young Adults (CARDIA) study. Diabetologia 2022; 65:657-674. [PMID: 35041022 PMCID: PMC8969893 DOI: 10.1007/s00125-021-05641-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 11/10/2021] [Indexed: 12/19/2022]
Abstract
AIMS/HYPOTHESIS The aim of this work was to define metabolic correlates and pathways of diabetes pathogenesis in young adults during a subclinical latent phase of diabetes development. METHODS We studied 2083 young adults of Black and White ethnicity in the prospective observational cohort Coronary Artery Risk Development in Young Adults (CARDIA) study (mean ± SD age 32.1 ± 3.6 years; 43.9% women; 42.7% Black; mean ± SD BMI 25.6 ± 4.9 kg/m2) and 1797 Framingham Heart Study (FHS) participants (mean ± SD age 54.7 ± 9.7 years; 52.1% women; mean ± SD BMI 27.4 ± 4.8 kg/m2), examining the association of comprehensive metabolite profiles with endophenotypes of diabetes susceptibility (adipose and muscle tissue phenotypes and systemic inflammation). Statistical learning techniques and Cox regression were used to identify metabolite signatures of incident diabetes over a median of nearly two decades of follow-up across both cohorts. RESULTS We identified known and novel metabolites associated with endophenotypes that delineate the complex pathophysiological architecture of diabetes, spanning mechanisms of muscle insulin resistance, inflammatory lipid signalling and beta cell metabolism (e.g. bioactive lipids, amino acids and microbe- and diet-derived metabolites). Integrating endophenotypes of diabetes susceptibility with the metabolome generated two multi-parametric metabolite scores, one of which (a proinflammatory adiposity score) was associated with incident diabetes across the life course in participants from both the CARDIA study (young adults; HR in a fully adjusted model 2.10 [95% CI 1.72, 2.55], p<0.0001) and FHS (middle-aged and older adults; HR 1.33 [95% CI 1.14, 1.56], p=0.0004). A metabolite score based on the outcome of diabetes was strongly related to diabetes in CARDIA study participants (fully adjusted HR 3.41 [95% CI 2.85, 4.07], p<0.0001) but not in the older FHS population (HR 1.15 [95% CI 0.99, 1.33], p=0.07). CONCLUSIONS/INTERPRETATION Selected metabolic abnormalities in young adulthood identify individuals with heightened diabetes risk independent of race, sex and traditional diabetes risk factors. These signatures replicate across the life course.
Collapse
Affiliation(s)
- Venkatesh L Murthy
- Department of Medicine and Radiology, University of Michigan, Ann Arbor, MI, USA.
| | - Matthew Nayor
- Section of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Jared P Reis
- National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | | | | | - Robert Kitchen
- Simches Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Paolo Piaggi
- Department of Information Engineering, University of Pisa, Pisa, Italy
| | - Lyn M Steffen
- University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Jane E Freedman
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Clary B Clish
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Ravi V Shah
- Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
| |
Collapse
|
74
|
Hertel J, Fässler D, Heinken A, Weiß FU, Rühlemann M, Bang C, Franke A, Budde K, Henning AK, Petersmann A, Völker U, Völzke H, Thiele I, Grabe HJ, Lerch MM, Nauck M, Friedrich N, Frost F. NMR Metabolomics Reveal Urine Markers of Microbiome Diversity and Identify Benzoate Metabolism as a Mediator between High Microbial Alpha Diversity and Metabolic Health. Metabolites 2022; 12:metabo12040308. [PMID: 35448495 PMCID: PMC9025190 DOI: 10.3390/metabo12040308] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/22/2022] [Accepted: 03/25/2022] [Indexed: 12/12/2022] Open
Abstract
Microbial metabolites measured using NMR may serve as markers for physiological or pathological host–microbe interactions and possibly mediate the beneficial effects of microbiome diversity. Yet, comprehensive analyses of gut microbiome data and the urine NMR metabolome from large general population cohorts are missing. Here, we report the associations between gut microbiota abundances or metrics of alpha diversity, quantified from stool samples using 16S rRNA gene sequencing, with targeted urine NMR metabolites measures from 951 participants of the Study of Health in Pomerania (SHIP). We detected significant genus–metabolite associations for hippurate, succinate, indoxyl sulfate, and formate. Moreover, while replicating the previously reported association between hippurate and measures of alpha diversity, we identified formate and 4-hydroxyphenylacetate as novel markers of gut microbiome alpha diversity. Next, we predicted the urinary concentrations of each metabolite using genus abundances via an elastic net regression methodology. We found profound associations of the microbiome-based hippurate prediction score with markers of liver injury, inflammation, and metabolic health. Moreover, the microbiome-based prediction score for hippurate completely mediated the clinical association pattern of microbial diversity, hinting at a role of benzoate metabolism underlying the positive associations between high alpha diversity and healthy states. In conclusion, large-scale NMR urine metabolomics delivered novel insights into metabolic host–microbiome interactions, identifying pathways of benzoate metabolism as relevant candidates mediating the beneficial health effects of high microbial alpha diversity.
Collapse
Affiliation(s)
- Johannes Hertel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, D-17475 Greifswald, Germany; (D.F.); (H.-J.G.)
- Correspondence:
| | - Daniel Fässler
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, D-17475 Greifswald, Germany; (D.F.); (H.-J.G.)
| | - Almut Heinken
- School of Medicine, National University of Ireland, H91 CF50 Galway, Ireland; (A.H.); (I.T.)
| | - Frank U. Weiß
- Department of Internal Medicine A, University Medicine Greifswald, D-17475 Greifswald, Germany; (F.U.W.); (M.M.L.); (F.F.)
| | - Malte Rühlemann
- Institute of Clinical Molecular Biology, Kiel University, D-24105 Kiel, Germany; (M.R.); (C.B.); (A.F.)
| | - Corinna Bang
- Institute of Clinical Molecular Biology, Kiel University, D-24105 Kiel, Germany; (M.R.); (C.B.); (A.F.)
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, D-24105 Kiel, Germany; (M.R.); (C.B.); (A.F.)
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany; (K.B.); (A.-K.H.); (A.P.); (M.N.); (N.F.)
| | - Ann-Kristin Henning
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany; (K.B.); (A.-K.H.); (A.P.); (M.N.); (N.F.)
| | - Astrid Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany; (K.B.); (A.-K.H.); (A.P.); (M.N.); (N.F.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Oldenburg, D-26129 Oldenburg, Germany
| | - Uwe Völker
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, D-17475 Greifswald, Germany;
| | - Henry Völzke
- Institute for Community Medicine, University of Greifswald, D-17475 Greifswald, Germany;
| | - Ines Thiele
- School of Medicine, National University of Ireland, H91 CF50 Galway, Ireland; (A.H.); (I.T.)
- Discipline of Microbiology, National University of Galway, H91 CF50 Galway, Ireland
- APC Microbiome Ireland, University College Cork, T12 CY82 Cork, Ireland
- Ryan Institute, National University of Galway, H91 CF50 Galway, Ireland
| | - Hans-Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, D-17475 Greifswald, Germany; (D.F.); (H.-J.G.)
- German Center for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, D-17475 Greifswald, Germany
| | - Markus M. Lerch
- Department of Internal Medicine A, University Medicine Greifswald, D-17475 Greifswald, Germany; (F.U.W.); (M.M.L.); (F.F.)
- Faculty of Medicine, Ludwig-Maximilian University Munich, D-80539 Munich, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany; (K.B.); (A.-K.H.); (A.P.); (M.N.); (N.F.)
- German Centre for Cardiovascular Research (DZHK), Partner Site, D-17475 Greifswald, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany; (K.B.); (A.-K.H.); (A.P.); (M.N.); (N.F.)
- German Centre for Cardiovascular Research (DZHK), Partner Site, D-17475 Greifswald, Germany
| | - Fabian Frost
- Department of Internal Medicine A, University Medicine Greifswald, D-17475 Greifswald, Germany; (F.U.W.); (M.M.L.); (F.F.)
| |
Collapse
|
75
|
Li Y, Wang F, Li J, Ivey KL, Wilkinson JE, Wang DD, Li R, Liu G, Eliassen HA, Chan AT, Clish CB, Huttenhower C, Hu FB, Sun Q, Rimm EB. Dietary lignans, plasma enterolactone levels, and metabolic risk in men: exploring the role of the gut microbiome. BMC Microbiol 2022; 22:82. [PMID: 35350985 PMCID: PMC8966171 DOI: 10.1186/s12866-022-02495-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 03/17/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND The conversion of plant lignans to bioactive enterolignans in the gastrointestinal tract is mediated through microbial processing. The goal of this study was to examine the relationships between lignan intake, plasma enterolactone concentrations, gut microbiome composition, and metabolic risk in free-living male adults. RESULTS In 303 men participating in the Men's Lifestyle Validation Study (MLVS), lignan intake was assessed using two sets of 7-day diet records, and gut microbiome was profiled through shotgun sequencing of up to 2 pairs of fecal samples (n = 911). A score was calculated to summarize the abundance of bacteria species that were significantly associated with plasma enterolactone levels. Of the 138 filtered species, plasma enterolactone levels were significantly associated with the relative abundances of 18 species at FDR < 0.05 level. Per SD increment of lignan intake was associated with 20.7 nM (SEM: 2.3 nM) higher enterolactone concentrations among participants with a higher species score, whereas the corresponding estimate was 4.0 nM (SEM: 1.7 nM) among participants with a lower species score (P for interaction < 0.001). A total of 12 plasma metabolites were also significantly associated with these enterolactone-predicting species. Of the association between lignan intake and metabolic risk, 19.8% (95%CI: 7.3%-43.6%) was explained by the species score alone, 54.5% (95%CI: 21.8%-83.7%) by both species score and enterolactone levels, and 79.8% (95%CI: 17.7%-98.6%) by further considering the 12 plasma metabolites. CONCLUSION We identified multiple gut bacteria species that were enriched or depleted at higher plasma levels of enterolactone in men. These species jointly modified the associations of lignan intake with plasma enterolactone levels and explained the majority of association between lignan intake and metabolic risk along with enterolactone levels and certain plasma metabolites.
Collapse
Affiliation(s)
- Yanping Li
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Fenglei Wang
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Jun Li
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Kerry L. Ivey
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA ,grid.430453.50000 0004 0565 2606Microbiome and Host Health Programme, South Australian Health and Medical Research Institute, North Terrace, Adelaide, SA 5000 Australia ,grid.1014.40000 0004 0367 2697Department of Nutrition and Dietetics, College of Nursing and Health Sciences, Flinders University, Adelaide, Australia
| | - Jeremy E. Wilkinson
- grid.38142.3c000000041936754X Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Dong D. Wang
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA ,grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA
| | - Ruifeng Li
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Gang Liu
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA
| | - Heather A. Eliassen
- grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Andrew T. Chan
- grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA USA
| | - Clary B. Clish
- grid.66859.340000 0004 0546 1623Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA USA
| | - Curtis Huttenhower
- grid.38142.3c000000041936754X Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA USA
| | - Frank B. Hu
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA ,grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Qi Sun
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA ,grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Eric B. Rimm
- grid.38142.3c000000041936754XDepartment of Nutrition, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA 02115 USA ,grid.62560.370000 0004 0378 8294Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.38142.3c000000041936754XDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
| |
Collapse
|
76
|
Impact of wheat aleurone on biomarkers of cardiovascular disease, gut microbiota and metabolites in adults with high body mass index: a double-blind, placebo-controlled, randomized clinical trial. Eur J Nutr 2022; 61:2651-2671. [PMID: 35247098 PMCID: PMC9279244 DOI: 10.1007/s00394-022-02836-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 02/11/2022] [Indexed: 02/08/2023]
Abstract
Purpose Aleurone is a cereal bran fraction containing a variety of beneficial nutrients including polyphenols, fibers, minerals and vitamins. Animal and human studies support the beneficial role of aleurone consumption in reducing cardiovascular disease (CVD) risk. Gut microbiota fiber fermentation, polyphenol metabolism and betaine/choline metabolism may in part contribute to the physiological effects of aleurone. As primary objective, this study evaluated whether wheat aleurone supplemented foods could modify plasma homocysteine. Secondary objectives included changes in CVD biomarkers, fecal microbiota composition and plasma/urine metabolite profiles. Methods A parallel double-blind, placebo-controlled and randomized trial was carried out in two groups of obese/overweight subjects, matched for age, BMI and gender, consuming foods supplemented with either aleurone (27 g/day) (AL, n = 34) or cellulose (placebo treatment, PL, n = 33) for 4 weeks. Results No significant changes in plasma homocysteine or other clinical markers were observed with either treatment. Dietary fiber intake increased after AL and PL, animal protein intake increased after PL treatment. We observed a significant increase in fecal Bifidobacterium spp with AL and Lactobacillus spp with both AL and PL, but overall fecal microbiota community structure changed little according to 16S rRNA metataxonomics. Metabolomics implicated microbial metabolism of aleurone polyphenols and revealed distinctive biomarkers of AL treatment, including alkylresorcinol, cinnamic, benzoic and ferulic acids, folic acid, fatty acids, benzoxazinoid and roasted aroma related metabolites. Correlation analysis highlighted bacterial genera potentially linked to urinary compounds derived from aleurone metabolism and clinical parameters. Conclusions Aleurone has potential to modulate the gut microbial metabolic output and increase fecal bifidobacterial abundance. However, in this study, aleurone did not impact on plasma homocysteine or other CVD biomarkers. Trial Registration The study was registered at ClinicalTrials.gov (NCT02067026) on the 17th February 2014. Supplementary Information The online version contains supplementary material available at 10.1007/s00394-022-02836-9.
Collapse
|
77
|
Gao S, Chao Y, Li N, Li H, Zhao H, Liu X, Chen W, Dong X. An Integrated Proteomics and Metabolomics Strategy for the Mechanism of Calcium Oxalate Crystal-Induced Kidney Injury. Front Med (Lausanne) 2022; 9:805356. [PMID: 35308536 PMCID: PMC8927618 DOI: 10.3389/fmed.2022.805356] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 01/07/2022] [Indexed: 02/01/2023] Open
Abstract
Renal fibrosis is the pathological repair reaction of the kidney to chronic injury, which is an important process of chronic kidney disease (CKD) progressing to end-stage renal failure. Nephrolithiasis is one of the most common renal diseases, with waist and abdomen pain, hematuria, urinary tract infection, and other clinical symptoms, which can increase the risk of renal fibrosis. Oxalate crystal-induced kidney injury is an early stage of nephrolithiasis; it is of great significance to explore the mechanism for the prevention and treatment of nephrolithiasis. A rodent model of calcium oxalate (CaOx) crystal-induced kidney injury was used in the present study, and a network analysis method combining proteomics and metabolomics was conducted to reveal the mechanism of crystal kidney injury and to provide potential targets for the intervention of nephrolithiasis. Using the metabolomics method based on the UHPLC-Q/TOF-MS platform and the iTRAQ quantitative proteomics method, we screened a total of 244 metabolites and 886 proteins from the kidney tissues that had significant changes in the Crystal group compared with that in the Control group. Then, the ingenuity pathway analysis (IPA) was applied to construct a protein-to-metabolic regulatory network by correlating and integrating differential metabolites and proteins. The results showed that CaOx crystals could induce inflammatory reactions and oxidative stress through Akt, ERK1/2, and P38 MAPK pathways and affect amino acid metabolism and fatty acid β-oxidation to result in kidney injury, thus providing an important direction for the early prevention and treatment of nephrolithiasis.
Collapse
Affiliation(s)
- Songyan Gao
- Institute of Translational Medicine, Shanghai University, Shanghai, China
| | - Yufan Chao
- School of Medicine, Shanghai University, Shanghai, China
| | - Na Li
- School of Medicine, Shanghai University, Shanghai, China
| | - Henghui Li
- School of Life Sciences, Shanghai University, Shanghai, China
| | - Hongxia Zhao
- School of Medicine, Shanghai University, Shanghai, China
| | - Xinru Liu
- Institute of Translational Medicine, Shanghai University, Shanghai, China
- *Correspondence: Xinru Liu
| | - Wei Chen
- Department of Nephrology, Changhai Hospital, Naval Military Medical University, Shanghai, China
- Wei Chen
| | - Xin Dong
- Institute of Translational Medicine, Shanghai University, Shanghai, China
- School of Medicine, Shanghai University, Shanghai, China
- Xin Dong
| |
Collapse
|
78
|
Kim H, Yu B, Li X, Wong KE, Boerwinkle E, Seidelmann SB, Levey AS, Rhee EP, Coresh J, Rebholz CM. Serum metabolomic signatures of plant-based diets and incident chronic kidney disease. Am J Clin Nutr 2022; 116:151-164. [PMID: 35218183 PMCID: PMC9257476 DOI: 10.1093/ajcn/nqac054] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 02/24/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Greater adherence to plant-based diets is associated with a lower risk of incident chronic kidney disease (CKD). Metabolomics can help identify blood biomarkers of plant-based diets and enhance understanding of underlying mechanisms. OBJECTIVES Using untargeted metabolomics, we aimed to identify metabolites associated with 4 plant-based diet indices (PDIs) (overall PDI, provegetarian diet, healthful PDI, and unhealthful PDI) and incident CKD in 2 subgroups within the Atherosclerosis Risk in Communities study. METHODS We calculated 4 PDIs based on participants' responses on an FFQ. We used multivariable linear regression to examine the association between 4 PDIs and 374 individual metabolites, adjusting for confounders. We used Cox proportional hazards regression to evaluate associations between PDI-related metabolites and incident CKD. Estimates were meta-analyzed across 2 subgroups (n1 = 1762; n2 = 1960). We calculated C-statistics to assess whether metabolites improved the prediction of those in the highest quintile compared to the lower 4 quintiles of PDIs, and whether PDI- and CKD-related metabolites predicted incident CKD beyond the CKD prediction model. RESULTS We identified 82 significant PDI-metabolite associations (overall PDI = 27; provegetarian = 17; healthful PDI = 20; unhealthful PDI = 18); 11 metabolites overlapped across the overall PDI, provegetarian diet, and healthful PDI. The addition of metabolites improved prediction of those in the highest quintile as opposed to the lower 4 quintiles of PDIs compared with participant characteristics alone (range of differences in C-statistics = 0.026-0.104; P value ≤ 0.001 for all tests). Six PDI-related metabolites (glycerate, 1,5-anhydroglucitol, γ-glutamylalanine, γ-glutamylglutamate, γ-glutamylleucine, γ-glutamylvaline), involved in glycolysis, gluconeogenesis, pyruvate metabolism, and γ-glutamyl peptide metabolism, were significantly associated with incident CKD and improved prediction of incident CKD beyond the CKD prediction model (difference in C-statistics for 6 metabolites = 0.005; P value = 0.006). CONCLUSIONS In a community-based study of US adults, we identified metabolites that were related to plant-based diets and predicted incident CKD. These metabolites highlight pathways through which plant-based diets are associated with incident CKD.
Collapse
Affiliation(s)
- Hyunju Kim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, TX, USA
| | - Xin Li
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | | | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics & Environmental Sciences, University of Texas Health Sciences Center at Houston School of Public Health, Houston, TX, USA
| | - Sara B Seidelmann
- College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, MA, USA
| | - Eugene P Rhee
- Nephrology Division and Endocrine Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, USA,Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | |
Collapse
|
79
|
Wang Y, Nan X, Zhao Y, Jiang L, Wang H, Zhang F, Hua D, Liu J, Yao J, Yang L, Xiong B. Consumption of Supplementary Inulin Modulates Milk Microbiota and Metabolites in Dairy Cows with Subclinical Mastitis. Appl Environ Microbiol 2022; 88:e0205921. [PMID: 34936838 PMCID: PMC8942464 DOI: 10.1128/aem.02059-21] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 12/13/2021] [Indexed: 11/20/2022] Open
Abstract
The milk microbiota and mediated metabolites directly affect the health of the udder in dairy cows. Inulin, a dietary prebiotic, can modulate the profile of gastrointestinal microbiota. However, whether the inulin intake affects the milk microbial population and metabolites remains unknown. In this study, 40 subclinical mastitis (SCM) cows were randomly divided into 5 groups. Five inulin addition doses, 0, 100, 200, 300, and 400 g/day per cow, based on the same basal diet, were supplemented. The experiments lasted for 8 weeks. The results showed lower relative abundance of mastitis-causing and proinflammation microbes in milk (i.e., Escherichia-Shigella, Pseudomonas, Rhodococcus, Burkholderia-Caballeronia-Paraburkholderia, etc.) and higher abundances of probiotics and commensal bacteria, such as Lactobacillus, Bifidobacterium, etc., in the cows fed 300 g/day inulin compared to that in the control group. Meanwhile, the levels of arachidonic acid proinflammatory mediators (leukotriene E3, 20-carboxy-leukotriene B4, and 12-Oxo-c-LTB3) and phospholipid metabolites were reduced, and the levels of compounds with antibacterial and anti-inflammatory potential (prostaglandin A1, 8-iso-15-keto-prostaglandin E2 [PGE2], etc.) and participating energy metabolism (citric acid, l-carnitine, etc.) were elevated. These data suggested that inulin intake might modulate the microflora and metabolite level in extraintestinal tissue, such as mammary gland, which provided an alternative for the regulation and mitigation of SCM. IMPORTANCE The profile of the microbial community and metabolic activity in milk are the main determinants of udder health status and milk quality. Recent studies have demonstrated that diet could directly modulate the mammary gland microbiome. Inulin is a probiotic dietary fiber which can improve the microbiota population in the gastrointestinal tract. However, whether inulin intake can further regulate the profile of the microbiota and metabolic activities in milk remains unclear. In subclinical mastitic cows, we found that inulin supplementation could reduce the abundance of Escherichia-Shigella, Pseudomonas, Rhodococcus, and Burkholderia-Caballeronia-Paraburkholderia and the levels of (±)12, 13-DiHOME, leukotriene E3 and 20-carboxy-leukotriene B4 etc., while it elevated the abundance of Lactobacillus, Bifidobacterium, and Muribaculaceae, as well as the levels of prostaglandin A1 (PGA1), 8-iso-15-keto-PGE2, benzoic acid, etc. in milk. These data suggest that inulin intake affects the profile of microorganisms and metabolites in milk, which provides an alternative for the regulation of mastitis.
Collapse
Affiliation(s)
- Yue Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Xuemei Nan
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yiguang Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Linshu Jiang
- Beijing Key Laboratory for Dairy Cow Nutrition, Beijing University of Agriculture, Beijing, China
| | - Hui Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Fan Zhang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Dengke Hua
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jun Liu
- Langfang Academy of Agriculture and Forestry, Langfang, China
| | - Junhu Yao
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Liang Yang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Benhai Xiong
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| |
Collapse
|
80
|
Microbiome and metabolome features of the cardiometabolic disease spectrum. Nat Med 2022; 28:303-314. [PMID: 35177860 PMCID: PMC8863577 DOI: 10.1038/s41591-022-01688-4] [Citation(s) in RCA: 96] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 01/07/2022] [Indexed: 02/08/2023]
Abstract
Previous microbiome and metabolome analyses exploring non-communicable diseases have paid scant attention to major confounders of study outcomes, such as common, pre-morbid and co-morbid conditions, or polypharmacy. Here, in the context of ischemic heart disease (IHD), we used a study design that recapitulates disease initiation, escalation and response to treatment over time, mirroring a longitudinal study that would otherwise be difficult to perform given the protracted nature of IHD pathogenesis. We recruited 1,241 middle-aged Europeans, including healthy individuals, individuals with dysmetabolic morbidities (obesity and type 2 diabetes) but lacking overt IHD diagnosis and individuals with IHD at three distinct clinical stages—acute coronary syndrome, chronic IHD and IHD with heart failure—and characterized their phenome, gut metagenome and serum and urine metabolome. We found that about 75% of microbiome and metabolome features that distinguish individuals with IHD from healthy individuals after adjustment for effects of medication and lifestyle are present in individuals exhibiting dysmetabolism, suggesting that major alterations of the gut microbiome and metabolome might begin long before clinical onset of IHD. We further categorized microbiome and metabolome signatures related to prodromal dysmetabolism, specific to IHD in general or to each of its three subtypes or related to escalation or de-escalation of IHD. Discriminant analysis based on specific IHD microbiome and metabolome features could better differentiate individuals with IHD from healthy individuals or metabolically matched individuals as compared to the conventional risk markers, pointing to a pathophysiological relevance of these features. By studying individuals along a spectrum of cardiometabolic disease and adjusting for effects of lifestyle and medication, this investigation identifies alterations of the metabolome and microbiome from dysmetabolic conditions, such as obesity and type 2 diabetes, to ischemic heart disease.
Collapse
|
81
|
Delgado-Velandia M, Gonzalez-Marrachelli V, Domingo-Relloso A, Galvez-Fernandez M, Grau-Perez M, Olmedo P, Galan I, Rodriguez-Artalejo F, Amigo N, Briongos-Figuero L, Redon J, Martin-Escudero JC, Monleon-Salvado D, Tellez-Plaza M, Sotos-Prieto M. Healthy lifestyle, metabolomics and incident type 2 diabetes in a population-based cohort from Spain. Int J Behav Nutr Phys Act 2022; 19:8. [PMID: 35086546 PMCID: PMC8793258 DOI: 10.1186/s12966-021-01219-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 10/20/2021] [Indexed: 12/11/2022] Open
Abstract
Background The contribution of metabolomic factors to the association of healthy lifestyle with type 2 diabetes risk is unknown. We assessed the association of a composite measure of lifestyle with plasma metabolite profiles and incident type 2 diabetes, and whether relevant metabolites can explain the prospective association between healthy lifestyle and incident type 2 diabetes. Methods A Healthy Lifestyle Score (HLS) (5-point scale including diet, physical activity, smoking status, alcohol consumption and BMI) was estimated in 1016 Hortega Study participants, who had targeted plasma metabolomic determinations at baseline examination in 2001–2003, and were followed-up to 2015 to ascertain incident type 2 diabetes. Results The HLS was cross-sectionally associated with 32 (out of 49) plasma metabolites (2.5% false discovery rate). In the subset of 830 participants without prevalent type 2 diabetes, the rate ratio (RR) and rate difference (RD) of incident type 2 diabetes (n cases = 51) per one-point increase in HLS was, respectively, 0.69 (95% CI, 0.51, 0.93), and − 8.23 (95% CI, − 16.34, − 0.13)/10,000 person-years. In single-metabolite models, most of the HLS-related metabolites were prospectively associated with incident type 2 diabetes. In probit Bayesian Kernel Machine Regression, these prospective associations were mostly driven by medium HDL particle concentration and phenylpropionate, followed by small LDL particle concentration, which jointly accounted for ~ 50% of the HLS-related decrease in incident type 2 diabetes. Conclusions The HLS showed a strong inverse association with incident type 2 diabetes, which was largely explained by plasma metabolites measured years before the clinical diagnosis. Supplementary Information The online version contains supplementary material available at 10.1186/s12966-021-01219-3.
Collapse
Affiliation(s)
- Mario Delgado-Velandia
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain
| | - Vannina Gonzalez-Marrachelli
- Department of Physiology, School of Medicine, University of Valencia, Valencia, Spain.,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain
| | - Arce Domingo-Relloso
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain.,Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.,Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Marta Galvez-Fernandez
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain
| | - Maria Grau-Perez
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain.,Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Pablo Olmedo
- Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain.,Department of Legal Medicine and Toxicology. School of Medicine, University of Granada, Granada, Spain
| | - Iñaki Galan
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Monforte de Lemos, 5, 28029, Madrid, Spain
| | - Fernando Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain.,IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain
| | - Nuria Amigo
- Biosfer Teslab, Av. Universitat, 1 43204, Reus, Spain.,Department of Basic Medical Sciences, University Rovira I Virgili, Reus, Spain.,CIBERDEM (CIBER of Diabetes and Metabolic Diseases), Madrid, Spain
| | | | - Josep Redon
- Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain
| | | | - Daniel Monleon-Salvado
- Department of Physiology, School of Medicine, University of Valencia, Valencia, Spain. .,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain. .,CIBERFES (CIBER of Frailty and Healthy Aging), Madrid, Spain. .,Department of Pathology, University of Valencia, Av. Blasco Ibañez, 15, 46010, Valencia, Spain.
| | - Maria Tellez-Plaza
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain. .,Institute for Biomedical Research Hospital Clinic de Valencia INCLIVA, Valencia, Spain. .,Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institutes, Madrid, Spain. .,Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Monforte de Lemos, 5, 28029, Madrid, Spain.
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health. School of Medicine, Universidad Autonoma de Madrid; Instituto de Investigacion Sanitaria Hospital Universitario La Paz (IdiPaz), Madrid, Spain.,CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain.,IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
82
|
Kim H, Lichtenstein AH, White K, Wong KE, Miller ER, Coresh J, Appel LJ, Rebholz CM. Plasma Metabolites Associated with a Protein-Rich Dietary Pattern: Results from the OmniHeart Trial. Mol Nutr Food Res 2022; 66:e2100890. [PMID: 35081272 PMCID: PMC8930517 DOI: 10.1002/mnfr.202100890] [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: 09/27/2021] [Revised: 12/30/2021] [Indexed: 11/26/2022]
Abstract
Scope Lack of biomarkers is a challenge for the accurate assessment of protein intake and interpretation of observational study data. The study aims to identify biomarkers of a protein‐rich dietary pattern. Methods and Results The Optimal Macronutrient Intake Trial to Prevent Heart Disease (OmniHeart) trial is a randomized cross‐over feeding study which tested three dietary patterns with varied macronutrient content (carbohydrate‐rich; protein‐rich with about half from plant sources; and unsaturated fat‐rich). In 156 adults, differences in log‐transformed plasma metabolite levels at the end of the protein‐ and carbohydrate‐rich diet periods using paired t‐tests is examined. Partial least‐squares discriminant analysis is used to identify a set of metabolites which are influential in discriminating between the protein‐rich versus carbohydrate‐rich dietary patterns. Of 839 known metabolites, 102 metabolites differ significantly between the protein‐rich and the carbohydrate‐rich dietary patterns after Bonferroni correction, the majority of which are lipids (n = 35), amino acids (n = 27), and xenobiotics (n = 24). Metabolites which are the most influential in discriminating between the protein‐rich and the carbohydrate‐rich dietary patterns represent plant protein intake, food or beverage intake, and preparation methods. Conclusions The study identifies many plasma metabolites associated with the protein‐rich dietary pattern. If replicated, these metabolites may be used to assess level of adherence to a similar dietary pattern.
Collapse
Affiliation(s)
- Hyunju Kim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA
| | - Alice H Lichtenstein
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA
| | - Karen White
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Kari E Wong
- Metabolon, Research Triangle Park, Morrisville, North Carolina, USA
| | - Edgar R Miller
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Lawrence J Appel
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| |
Collapse
|
83
|
Tewari SG, Kwan B, Elahi R, Rajaram K, Reifman J, Prigge ST, Vaidya AB, Wallqvist A. Metabolic adjustments of blood-stage Plasmodium falciparum in response to sublethal pyrazoleamide exposure. Sci Rep 2022; 12:1167. [PMID: 35064153 PMCID: PMC8782945 DOI: 10.1038/s41598-022-04985-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 01/04/2022] [Indexed: 11/08/2022] Open
Abstract
Due to the recurring loss of antimalarial drugs to resistance, there is a need for novel targets, drugs, and combination therapies to ensure the availability of current and future countermeasures. Pyrazoleamides belong to a novel class of antimalarial drugs that disrupt sodium ion homeostasis, although the exact consequences of this disruption in Plasmodium falciparum remain under investigation. In vitro experiments demonstrated that parasites carrying mutations in the metabolic enzyme PfATP4 develop resistance to pyrazoleamide compounds. However, the underlying mechanisms that allow mutant parasites to evade pyrazoleamide treatment are unclear. Here, we first performed experiments to identify the sublethal dose of a pyrazoleamide compound (PA21A092) that caused a significant reduction in growth over one intraerythrocytic developmental cycle (IDC). At this drug concentration, we collected transcriptomic and metabolomic data at multiple time points during the IDC to quantify gene- and metabolite-level alterations in the treated parasites. To probe the effects of pyrazoleamide treatment on parasite metabolism, we coupled the time-resolved omics data with a metabolic network model of P. falciparum. We found that the drug-treated parasites adjusted carbohydrate metabolism to enhance synthesis of myoinositol-a precursor for phosphatidylinositol biosynthesis. This metabolic adaptation caused a decrease in metabolite flux through the pentose phosphate pathway, causing a decreased rate of RNA synthesis and an increase in oxidative stress. Our model analyses suggest that downstream consequences of enhanced myoinositol synthesis may underlie adjustments that could lead to resistance emergence in P. falciparum exposed to a sublethal dose of a pyrazoleamide drug.
Collapse
Affiliation(s)
- Shivendra G Tewari
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, USA.
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA.
| | - Bobby Kwan
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Rubayet Elahi
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Krithika Rajaram
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Jaques Reifman
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, USA
| | - Sean T Prigge
- Department of Molecular Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA
| | - Akhil B Vaidya
- Department of Microbiology and Immunology, Center for Molecular Parasitology, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Anders Wallqvist
- Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Development Command, Fort Detrick, MD, USA.
| |
Collapse
|
84
|
Su L, Hong Z, Zhou T, Jian Y, Xu M, Zhang X, Zhu X, Wang J. Health improvements of type 2 diabetic patients through diet and diet plus fecal microbiota transplantation. Sci Rep 2022; 12:1152. [PMID: 35064189 PMCID: PMC8782834 DOI: 10.1038/s41598-022-05127-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 01/05/2022] [Indexed: 12/16/2022] Open
Abstract
Type 2 diabetes (T2D) is a major public health problem, and gut microbiota dysbiosis has been implicated in the emergence of T2D in humans. Dietary interventions can indirectly influence the health status of patients with type 2 diabetes through their modulatory effects on the intestinal microbiota. In recent years, fecal microbiota transplantation is becoming familiar as a new medical treatment that can rapidly improve intestinal health. We conducted a 90-day controlled open-label trial to evaluate the health improvement ability of a specially designed diet, and the diet combined with fecal microbiota transplantation (FMT). According to our study, both diet and diet plus FMT treatments showed great potential in controlling blood glucose and blood pressure levels. Sequencing the V4 region of 16S rRNA gene on the Illumina MiniSeq platform revealed a shift of intestinal microbial community in T2D patients, and the changes were also observed in response to the treatments. FMT changed the gut microbiota more quickly than diet. Beneficial bacterium, such as Bifidobacterium, increased along the study and was negatively correlated with blood glucose, blood pressure, blood lipid and BMI. Sulfate-reducing bacteria (SRB), Bilophila and Desulfovibrio, decreased significantly after treatment, showed a positive correlation with blood glucose indices. Thus, the specially designed diet is beneficial to improve blood glucose control in diabetic patients, it also showed the potential to reverse dyslipidemia and dysarteriotony.
Collapse
Affiliation(s)
- Lili Su
- College of Electronics and Information Engineering, School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710048, People's Republic of China.,Guangdong Quantum Hi-Tech Microecological Medical Co., Ltd, Guangzhou, Guangdong, 510030, People's Republic of China
| | - Zhifan Hong
- Guangdong Quantum Hi-Tech Microecological Medical Co., Ltd, Guangzhou, Guangdong, 510030, People's Republic of China
| | - Tong Zhou
- Guangdong Quantum Hi-Tech Microecological Medical Co., Ltd, Guangzhou, Guangdong, 510030, People's Republic of China
| | - Yuanyuan Jian
- Guangdong Quantum Hi-Tech Microecological Medical Co., Ltd, Guangzhou, Guangdong, 510030, People's Republic of China
| | - Mei Xu
- Yunnan Richland International Hospital, Kunming, Yunnan, 650224, People's Republic of China
| | - Xuanping Zhang
- College of Electronics and Information Engineering, School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710048, People's Republic of China
| | - Xiaoyan Zhu
- College of Electronics and Information Engineering, School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710048, People's Republic of China
| | - Jiayin Wang
- College of Electronics and Information Engineering, School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, 710048, People's Republic of China.
| |
Collapse
|
85
|
Blood pressure and urine metabolite changes in spontaneously hypertensive rats treated with leaf extract of Ficus deltoidea var angustifolia. J Pharm Biomed Anal 2022; 210:114579. [PMID: 35016031 DOI: 10.1016/j.jpba.2021.114579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 12/13/2021] [Accepted: 12/31/2021] [Indexed: 11/21/2022]
Abstract
Ficus deltoidea var angustifolia (FD-A) reduces blood pressure in spontaneously hypertensive rats (SHR) but the mechanism remains unknown. Changes in urine metabolites following FD-A treatment in SHR were, therefore, examined to identify the mechanism of its antihypertensive action. Male SHR were given either FD-A (1000 mg kg-1 day-1) or losartan (10 mg kg-1 day-1) or 0.5 mL of ethanolic-water (control) daily for 4 weeks. Systolic blood pressure (SBP) was measured every week and urine spectra data acquisition, on urine collected after four weeks of treatment, were compared using multivariate data analysis. SBP in FD-A and losartan treated rats was significantly lower than that in the controls after four weeks of treatment. Urine spectra analysis revealed 24 potential biomarkers with variable importance projections (VIP) above 0.5. These included creatine, hippurate, benzoate, trimethylamine N-oxide, taurine, dimethylamine, homocysteine, allantoin, methylamine, n-phenylacetylglycine, guanidinoacetate, creatinine, lactate, glucarate, kynurenine, ethanolamine, betaine, 3-hydroxybutyrate, glycine, lysine, glutamine, 2-hydroxyphenylacetate, 3-indoxylsulfate and sarcosine. From the profile of these metabolites, it seems that FD-A affects urinary levels of metabolites like taurine, hypotaurine, glycine, serine, threonine, alanine, aspartate and glutamine. Alterations in these and the pathways involved in their metabolism might underlie the molecular mechanism of its antihypertensive action.
Collapse
|
86
|
Influence of the microbiome, diet and genetics on inter-individual variation in the human plasma metabolome. Nat Med 2022; 28:2333-2343. [PMID: 36216932 PMCID: PMC9671809 DOI: 10.1038/s41591-022-02014-8] [Citation(s) in RCA: 84] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 08/15/2022] [Indexed: 01/14/2023]
Abstract
The levels of the thousands of metabolites in the human plasma metabolome are strongly influenced by an individual's genetics and the composition of their diet and gut microbiome. Here, by assessing 1,183 plasma metabolites in 1,368 extensively phenotyped individuals from the Lifelines DEEP and Genome of the Netherlands cohorts, we quantified the proportion of inter-individual variation in the plasma metabolome explained by different factors, characterizing 610, 85 and 38 metabolites as dominantly associated with diet, the gut microbiome and genetics, respectively. Moreover, a diet quality score derived from metabolite levels was significantly associated with diet quality, as assessed by a detailed food frequency questionnaire. Through Mendelian randomization and mediation analyses, we revealed putative causal relationships between diet, the gut microbiome and metabolites. For example, Mendelian randomization analyses support a potential causal effect of Eubacterium rectale in decreasing plasma levels of hydrogen sulfite-a toxin that affects cardiovascular function. Lastly, based on analysis of the plasma metabolome of 311 individuals at two time points separated by 4 years, we observed a positive correlation between the stability of metabolite levels and the amount of variance in the levels of that metabolite that could be explained in our analysis. Altogether, characterization of factors that explain inter-individual variation in the plasma metabolome can help design approaches for modulating diet or the gut microbiome to shape a healthy metabolome.
Collapse
|
87
|
Alam MJ, Puppala V, Uppulapu SK, Das B, Banerjee SK. Human microbiome and cardiovascular diseases. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 192:231-279. [DOI: 10.1016/bs.pmbts.2022.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
88
|
Brial F, Matsuda F, Gauguier D. Diet dependent impact of benzoate on diabetes and obesity in mice. Biochimie 2021; 194:35-42. [PMID: 34965461 DOI: 10.1016/j.biochi.2021.12.010] [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: 09/06/2021] [Revised: 10/29/2021] [Accepted: 12/22/2021] [Indexed: 11/17/2022]
Abstract
The gut microbiota contributes to mammalian host biology by supplying metabolites from nutrients and pro-inflammatory molecules. We have recently shown that urinary hippurate is associated with reduced risk of obesity, increased gut microbiome diversity and gene richness, and functional modules for microbial production of its precursor benzoate. Obese mice infused with hippurate exhibit profound alterations of glucose homeostasis. Here, we tested the biological effects of chronic administration of benzoate on cardiometabolic phenotypes in lean and obese mice. Benzoate induced glucose intolerance, enhanced insulin secretion, increased adiposity and stimulated liver inflammation in lean mice fed control diet. In contrast, in condition of obesity and diabetes induced by high fat diet feeding, benzoate infusion resulted in reduction of glucose intolerance, stimulation of both glucose-induced insulin secretion and β-cell proliferation, and reduction of liver triglyceride and collagen accumulation. These results combined with those previously obtained in mice treated with hippurate underline the importance of the benzoate-hippurate pathway in cardiometabolic diseases and pave the way to diagnostic and therapeutic solutions.
Collapse
Affiliation(s)
- Francois Brial
- Université de Paris, INSERM UMR 1124, 45 rue des Saints Pères, 75006, Paris, France; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-cho, Sakyo, 606-8507, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-cho, Sakyo, 606-8507, Kyoto, Japan
| | - Dominique Gauguier
- Université de Paris, INSERM UMR 1124, 45 rue des Saints Pères, 75006, Paris, France; Center for Genomic Medicine, Kyoto University Graduate School of Medicine, 53 Shogoin Kawahara-cho, Sakyo, 606-8507, Kyoto, Japan; McGill University and Genome Quebec Innovation Centre, 740 Doctor Penfield Avenue, Montreal, QC, H3A 0G1, Canada.
| |
Collapse
|
89
|
Al-Muraikhy S, Sellami M, Domling AS, Rizwana N, Agouni A, Al-Khelaifi F, Donati F, Botre F, Diboun I, Elrayess MA. Metabolic Signature of Leukocyte Telomere Length in Elite Male Soccer Players. Front Mol Biosci 2021; 8:727144. [PMID: 34977149 PMCID: PMC8716766 DOI: 10.3389/fmolb.2021.727144] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 12/02/2021] [Indexed: 11/23/2022] Open
Abstract
Introduction: Biological aging is associated with changes in the metabolic pathways. Leukocyte telomere length (LTL) is a predictive marker of biological aging; however, the underlying metabolic pathways remain largely unknown. The aim of this study was to investigate the metabolic alterations and identify the metabolic predictors of LTL in elite male soccer players. Methods: Levels of 837 blood metabolites and LTL were measured in 126 young elite male soccer players who tested negative for doping abuse at anti-doping laboratory in Italy. Multivariate analysis using orthogonal partial least squares (OPLS), univariate linear models and enrichment analyses were conducted to identify metabolites and metabolic pathways associated with LTL. Generalized linear model followed by receiver operating characteristic (ROC) analysis were conducted to identify top metabolites predictive of LTL. Results: Sixty-seven metabolites and seven metabolic pathways showed significant associations with LTL. Among enriched pathways, lysophospholipids, benzoate metabolites, and glycine/serine/threonine metabolites were elevated with longer LTL. Conversely, monoacylglycerols, sphingolipid metabolites, long chain fatty acids and polyunsaturated fatty acids were enriched with shorter telomeres. ROC analysis revealed eight metabolites that best predict LTL, including glutamine, N-acetylglutamine, xanthine, beta-sitosterol, N2-acetyllysine, stearoyl-arachidonoyl-glycerol (18:0/20:4), N-acetylserine and 3-7-dimethylurate with AUC of 0.75 (0.64–0.87, p < 0.0001). Conclusion: This study characterized the metabolic activity in relation to telomere length in elite soccer players. Investigating the functional relevance of these associations could provide a better understanding of exercise physiology and pathophysiology of elite athletes.
Collapse
Affiliation(s)
- Shamma Al-Muraikhy
- Biomedical Research Center, Qatar University, Doha, Qatar
- Department of Drug Design, University of Groningen, Groningen, Netherlands
| | - Maha Sellami
- Department of Physical Education (PE), College of Education, Qatar University, Doha, Qatar
| | | | - Najeha Rizwana
- Biomedical Research Center, Qatar University, Doha, Qatar
| | - Abdelali Agouni
- Department of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, Qatar
- Biomedical and Pharmaceutical Research Unit (BPRU), QU Health, Qatar University, Doha, Qatar
| | | | - Francesco Donati
- Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy
| | - Francesco Botre
- Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy
| | - Ilhame Diboun
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Mohamed A Elrayess
- Biomedical Research Center, Qatar University, Doha, Qatar
- Biomedical and Pharmaceutical Research Unit (BPRU), QU Health, Qatar University, Doha, Qatar
| |
Collapse
|
90
|
De Simone G, Balducci C, Forloni G, Pastorelli R, Brunelli L. Hippuric acid: Could became a barometer for frailty and geriatric syndromes? Ageing Res Rev 2021; 72:101466. [PMID: 34560280 DOI: 10.1016/j.arr.2021.101466] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 09/07/2021] [Accepted: 09/17/2021] [Indexed: 12/11/2022]
Abstract
Aging is a natural biological event that has some downsides such as increased frailty, decline in cognitive and physical functions leading to chronical diseases, and lower quality of life. There is therefore a pressing need of reliable biomarkers to identify populations at risk of developing age-associated syndromes in order to improve their quality of life, promote healthy ageing and a more appropriate clinical management, when needed. Here we discuss the importance of hippuric acid, an endogenous co-metabolite, as a possible hallmark of human aging and age-related diseases, summarizing the scientific literature over the last years. Hippuric acid, the glycine conjugate of benzoic acid, derives from the catabolism by means of intestinal microflora of dietary polyphenols found in plant-based foods (e.g. fruits, vegetables, tea and coffee). In healthy conditions hippuric acid levels in blood and/or urine rise significantly during aging while its excretion drops in conditions related with aging, including cognitive impairments, rheumatic diseases, sarcopenia and hypomobility. This literature highlights the utility of hippuric acid in urine and plasma as a plausible hallmark of frailty, related to low fruit and vegetable intake and changes in gut microflora.
Collapse
Affiliation(s)
- Giulia De Simone
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Claudia Balducci
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | | | | | - Laura Brunelli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
| |
Collapse
|
91
|
Brial F, Chilloux J, Nielsen T, Vieira-Silva S, Falony G, Andrikopoulos P, Olanipekun M, Hoyles L, Djouadi F, Neves AL, Rodriguez-Martinez A, Mouawad GI, Pons N, Forslund S, Le-chatelier E, Le Lay A, Nicholson J, Hansen T, Hyötyläinen T, Clément K, Oresic M, Bork P, Ehrlich SD, Raes J, Pedersen OB, Gauguier D, Dumas ME. Human and preclinical studies of the host-gut microbiome co-metabolite hippurate as a marker and mediator of metabolic health. Gut 2021; 70:2105-2114. [PMID: 33975870 PMCID: PMC8515120 DOI: 10.1136/gutjnl-2020-323314] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 04/15/2021] [Accepted: 04/18/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Gut microbial products are involved in regulation of host metabolism. In human and experimental studies, we explored the potential role of hippurate, a hepatic phase 2 conjugation product of microbial benzoate, as a marker and mediator of metabolic health. DESIGN In 271 middle-aged non-diabetic Danish individuals, who were stratified on habitual dietary intake, we applied 1H-nuclear magnetic resonance (NMR) spectroscopy of urine samples and shotgun-sequencing-based metagenomics of the gut microbiome to explore links between the urine level of hippurate, measures of the gut microbiome, dietary fat and markers of metabolic health. In mechanistic experiments with chronic subcutaneous infusion of hippurate to high-fat-diet-fed obese mice, we tested for causality between hippurate and metabolic phenotypes. RESULTS In the human study, we showed that urine hippurate positively associates with microbial gene richness and functional modules for microbial benzoate biosynthetic pathways, one of which is less prevalent in the Bacteroides 2 enterotype compared with Ruminococcaceae or Prevotella enterotypes. Through dietary stratification, we identify a subset of study participants consuming a diet rich in saturated fat in which urine hippurate concentration, independently of gene richness, accounts for links with metabolic health. In the high-fat-fed mice experiments, we demonstrate causality through chronic infusion of hippurate (20 nmol/day) resulting in improved glucose tolerance and enhanced insulin secretion. CONCLUSION Our human and experimental studies show that a high urine hippurate concentration is a general marker of metabolic health, and in the context of obesity induced by high-fat diets, hippurate contributes to metabolic improvements, highlighting its potential as a mediator of metabolic health.
Collapse
Affiliation(s)
- François Brial
- UMRS 1124 INSERM, Université de Paris Descartes, Paris, France
| | - Julien Chilloux
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Trine Nielsen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, University of Copenhagen, Kobenhavn, Denmark
| | - Sara Vieira-Silva
- Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute for Medical Research, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Gwen Falony
- Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute for Medical Research, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Petros Andrikopoulos
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK,National Heart & Lung Institute, Section of Genomic & Environmental Medicine, Imperial College London, London, UK
| | - Michael Olanipekun
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK,National Heart & Lung Institute, Section of Genomic & Environmental Medicine, Imperial College London, London, UK
| | - Lesley Hoyles
- Department of Biosciences, Nottingham Trent University, Nottingham, UK
| | - Fatima Djouadi
- Centre de Recherche des Cordeliers, Université Paris Descartes, Paris, France,Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Paris, France
| | - Ana L Neves
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Andrea Rodriguez-Martinez
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | | | - Nicolas Pons
- Metagenopolis, INRAE, Paris, Île-de-France, France
| | - Sofia Forslund
- Forslund Lab, Max Delbrück Centrum für Molekulare Medizin Experimental and Clinical Research Center, Berlin, Berlin, Germany
| | | | - Aurélie Le Lay
- UMRS 1124 INSERM, Université de Paris Descartes, Paris, France
| | - Jeremy Nicholson
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Torben Hansen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, University of Copenhagen, Kobenhavn, Denmark
| | | | - Karine Clément
- INSERM, U1166, team 6 Nutriomique, Université Pierre et Marie Curie-Paris 6, Paris, France,Institute of Cardiometabolism and Nutrition (ICAN), Assistance Publique-Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France
| | - Matej Oresic
- School of Medical Sciences, Örebro Universitet, Orebro, Sweden
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Stanislav Dusko Ehrlich
- Metagenopolis, INRAE, Paris, Île-de-France, France,Center for Host Microbiome Interactions, King's College London Dental Institute, London, UK
| | - Jeroen Raes
- Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute for Medical Research, Katholieke Universiteit Leuven, Leuven, Belgium,Center for Microbiology, Vlaams Instituut voor Biotechnologie, Leuven, Belgium
| | - Oluf Borbye Pedersen
- Novo Nordisk Foundation Centre for Basic Metabolic Research, University of Copenhagen, Kobenhavn, Denmark
| | - Dominique Gauguier
- UMRS 1124 INSERM, Université de Paris Descartes, Paris, France,McGill Genome Centre & Department of Human Genetics, McGill University, Montréal, Québec, Canada
| | - Marc-Emmanuel Dumas
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK .,National Heart & Lung Institute, Section of Genomic & Environmental Medicine, Imperial College London, London, UK.,McGill Genome Centre & Department of Human Genetics, McGill University, Montréal, Québec, Canada.,European Genomics Institute for Diabetes,INSERM U1283, CNRS UMR8199, Institut Pasteur de Lille, Lille University Hospital, Unversity of Lille, Lille, France
| |
Collapse
|
92
|
Abu Bakar Sajak A, Azlan A, Abas F, Hamzah H. The Changes in Endogenous Metabolites in Hyperlipidemic Rats Treated with Herbal Mixture Containing Lemon, Apple Cider, Garlic, Ginger, and Honey. Nutrients 2021; 13:3573. [PMID: 34684574 PMCID: PMC8539352 DOI: 10.3390/nu13103573] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 10/07/2021] [Accepted: 10/09/2021] [Indexed: 02/07/2023] Open
Abstract
An herbal mixture composed of lemon, apple cider, garlic, ginger and honey as a polyphenol-rich mixture (PRM) has been reported to contain hypolipidemic activity on human subjects and hyperlipidemic rats. However, the therapeutic effects of PRM on metabolites are not clearly understood. Therefore, this study aimed to provide new information on the causal impact of PRM on the endogenous metabolites, pathways and serum biochemistry. Serum samples of hyperlipidemic rats treated with PRM were subjected to biochemistry (lipid and liver profile) and hydroxymethylglutaryl-CoA enzyme reductase (HMG-CoA reductase) analyses. In contrast, the urine samples were subjected to urine metabolomics using 1H NMR. The serum biochemistry revealed that PRM at 500 mg/kg (PRM-H) managed to lower the total cholesterol level and low-density lipoprotein (LDL-C) (p < 0.05) and reduce the HMG-CoA reductase activity. The pathway analysis from urine metabolomics reveals that PRM-H altered 17 pathways, with the TCA cycle having the highest impact (0.26). Results also showed the relationship between the serum biochemistry of LDL-C and HMG-CoA reductase and urine metabolites (trimethylamine-N-oxide, dimethylglycine, allantoin and succinate). The study's findings demonstrated the potential of PRM at 500 mg/kg as an anti-hyperlipidemic by altering the TCA cycle, inhibiting HMG-CoA reductase and lowering the LDL-C in high cholesterol rats.
Collapse
Affiliation(s)
- Azliana Abu Bakar Sajak
- Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
| | - Azrina Azlan
- Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
- Research Centre for Excellence for Nutrition and Non-Communicable Disease, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
| | - Faridah Abas
- Laboratory of Natural Products, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
| | - Hazilawati Hamzah
- Department of Veterinary Medicine, Faculty of Veterinary Medicine, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
| |
Collapse
|
93
|
Karlsen TR, Kong XY, Holm S, Quiles-Jiménez A, Dahl TB, Yang K, Sagen EL, Skarpengland T, S Øgaard JD, Holm K, Vestad B, Olsen MB, Aukrust P, Bjørås M, Hov JR, Halvorsen B, Gregersen I. NEIL3-deficiency increases gut permeability and contributes to a pro-atherogenic metabolic phenotype. Sci Rep 2021; 11:19749. [PMID: 34611194 PMCID: PMC8492623 DOI: 10.1038/s41598-021-98820-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 09/09/2021] [Indexed: 12/12/2022] Open
Abstract
Atherosclerosis and its consequences cause considerable morbidity and mortality world-wide. We have previously shown that expression of the DNA glycosylase NEIL3 is regulated in human atherosclerotic plaques, and that NEIL3-deficiency enhances atherogenesis in Apoe-/- mice. Herein, we identified a time point prior to quantifiable differences in atherosclerosis between Apoe-/-Neil3-/- mice and Apoe-/- mice. Mice at this age were selected to explore the metabolic and pathophysiological processes preceding extensive atherogenesis in NEIL3-deficient mice. Untargeted metabolomic analysis of young Apoe-/-Neil3-/- mice revealed significant metabolic disturbances as compared to mice expressing NEIL3, particularly in metabolites dependent on the gut microbiota. 16S rRNA gene sequencing of fecal bacterial DNA indeed confirmed that the NEIL3-deficient mice had altered gut microbiota, as well as increased circulating levels of the bacterially derived molecule LPS. The mice were challenged with a FITC-conjugated dextran to explore gut permeability, which was significantly increased in the NEIL3-deficient mice. Further, immunohistochemistry showed increased levels of the proliferation marker Ki67 in the colonic epithelium of NEIL3-deficient mice, suggesting increased proliferation of intestinal cells and gut leakage. We suggest that these metabolic alterations serve as drivers of atherosclerosis in NEIL3-deficient mice.
Collapse
Affiliation(s)
- Tom Rune Karlsen
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
| | - Xiang Yi Kong
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Sverre Holm
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Ana Quiles-Jiménez
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Tuva B Dahl
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital HF, Rikshospitalet, Oslo, Norway
| | - Kuan Yang
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Ellen L Sagen
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Tonje Skarpengland
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Jonas D S Øgaard
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Kristian Holm
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Norwegian PSC Research Center, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Beate Vestad
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Section of Gastroenterology, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Maria B Olsen
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Pål Aukrust
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | - Magnar Bjørås
- Department of Microbiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Johannes R Hov
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
- Section of Gastroenterology, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
- Norwegian PSC Research Center, Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Bente Halvorsen
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
| | - Ida Gregersen
- Research Institute of Internal Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
| |
Collapse
|
94
|
de Prado-Bert P, Ruiz-Arenas C, Vives-Usano M, Andrusaityte S, Cadiou S, Carracedo Á, Casas M, Chatzi L, Dadvand P, González JR, Grazuleviciene R, Gutzkow KB, Haug LS, Hernandez-Ferrer C, Keun HC, Lepeule J, Maitre L, McEachan R, Nieuwenhuijsen MJ, Pelegrí D, Robinson O, Slama R, Vafeiadi M, Sunyer J, Vrijheid M, Bustamante M. The early-life exposome and epigenetic age acceleration in children. ENVIRONMENT INTERNATIONAL 2021; 155:106683. [PMID: 34144479 DOI: 10.1016/j.envint.2021.106683] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 06/01/2021] [Accepted: 06/01/2021] [Indexed: 06/12/2023]
Abstract
The early-life exposome influences future health and accelerated biological aging has been proposed as one of the underlying biological mechanisms. We investigated the association between more than 100 exposures assessed during pregnancy and in childhood (including indoor and outdoor air pollutants, built environment, green environments, tobacco smoking, lifestyle exposures, and biomarkers of chemical pollutants), and epigenetic age acceleration in 1,173 children aged 7 years old from the Human Early-Life Exposome project. Age acceleration was calculated based on Horvath's Skin and Blood clock using child blood DNA methylation measured by Infinium HumanMethylation450 BeadChips. We performed an exposure-wide association study between prenatal and childhood exposome and age acceleration. Maternal tobacco smoking during pregnancy was nominally associated with increased age acceleration. For childhood exposures, indoor particulate matter absorbance (PMabs) and parental smoking were nominally associated with an increase in age acceleration. Exposure to the organic pesticide dimethyl dithiophosphate and the persistent pollutant polychlorinated biphenyl-138 (inversely associated with child body mass index) were protective for age acceleration. None of the associations remained significant after multiple-testing correction. Pregnancy and childhood exposure to tobacco smoke and childhood exposure to indoor PMabs may accelerate epigenetic aging from an early age.
Collapse
Affiliation(s)
- Paula de Prado-Bert
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Carlos Ruiz-Arenas
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marta Vives-Usano
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, K. Donelaicio Street 58, 44248 Kaunas, Lithuania
| | - Solène Cadiou
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000 Grenoble, France
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), SERGAS, Rúa Choupana s/n, 15706 Santiago de Compostela, Spain; Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB3-ISCIII), Universidade de Santiago de Compostela, Praza do Obradoiro s/n, 15782 Santiago de Compostela, Spain
| | - Maribel Casas
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, USA; Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Payam Dadvand
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Juan R González
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Vytautas Magnus University, K. Donelaicio Street 58, 44248 Kaunas, Lithuania
| | - Kristine B Gutzkow
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Line S Haug
- Department of Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Carles Hernandez-Ferrer
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; CNAG-CRG, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Baldiri Reixac 4, Barcelona 08028, Spain
| | - Hector C Keun
- Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Johanna Lepeule
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000 Grenoble, France
| | - Léa Maitre
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Rosie McEachan
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - Mark J Nieuwenhuijsen
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Dolors Pelegrí
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Oliver Robinson
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, St Marys Hospital Campus, London W21PG, UK
| | - Rémy Slama
- University Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000 Grenoble, France
| | - Marina Vafeiadi
- Department of Social Medicine, School of Medicine, University of Crete, Heraklion, Greece
| | - Jordi Sunyer
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mariona Bustamante
- ISGlobal, Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain.
| |
Collapse
|
95
|
Osman A, Zuffa S, Walton G, Fagbodun E, Zanos P, Georgiou P, Kitchen I, Swann J, Bailey A. Post-weaning A1/A2 β-casein milk intake modulates depressive-like behavior, brain μ-opioid receptors, and the metabolome of rats. iScience 2021; 24:103048. [PMID: 34585111 PMCID: PMC8450247 DOI: 10.1016/j.isci.2021.103048] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/13/2021] [Accepted: 08/24/2021] [Indexed: 02/05/2023] Open
Abstract
The postnatal period is critical for brain and behavioral development and is sensitive to environmental stimuli, such as nutrition. Prevention of weaning from maternal milk was previously shown to cause depressive-like behavior in rats. Additionally, loss of dietary casein was found to act as a developmental trigger for a population of brain opioid receptors. Here, we explore the effect of exposure to milk containing A1 and A2 β-casein beyond weaning. A1 but not A2 β-casein milk significantly increased stress-induced immobility in rats, concomitant with an increased abundance of Clostridium histolyticum bacterial group in the caecum and colon of A1 β-casein fed animals, brain region-specific alterations of μ-opioid and oxytocin receptors, and modifications in urinary biochemical profiles. Moreover, urinary gut microbial metabolites strongly correlated with altered brain metabolites. These findings suggest that consumption of milk containing A1 β-casein beyond weaning age may affect mood via a possible gut-brain axis mechanism. Postnatal brain development is sensitive to nutritional exposures Consumption of A1 but not A2 β-casein milk post-weaning affects mood in rats Gut microbial, biochemical, and neurochemical changes accompany mood alterations Urinary gut microbial metabolites correlate with brain metabolites
Collapse
Affiliation(s)
- Aya Osman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Simone Zuffa
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Gemma Walton
- Food and Nutritional Sciences, School of Chemistry, Food and Pharmacy, University of Reading, Reading, UK
| | - Elizabeth Fagbodun
- Pharmacology Section, Institute of Medical and Biomedical Education, St George's University of London, London, UK
| | - Panos Zanos
- Department of Psychology, University of Cyprus, 1 University Avenue, 2109 Nicosia, Cyprus
| | - Polymnia Georgiou
- Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Ian Kitchen
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, Surrey GU2 7XH, UK
| | - Jonathan Swann
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.,School of Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Alexis Bailey
- Pharmacology Section, Institute of Medical and Biomedical Education, St George's University of London, London, UK
| |
Collapse
|
96
|
Stražar M, Mourits VP, Koeken VACM, de Bree LCJ, Moorlag SJCFM, Joosten LAB, van Crevel R, Vlamakis H, Netea MG, Xavier RJ. The influence of the gut microbiome on BCG-induced trained immunity. Genome Biol 2021; 22:275. [PMID: 34551799 PMCID: PMC8456614 DOI: 10.1186/s13059-021-02482-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 08/30/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The bacillus Calmette-Guérin (BCG) vaccine protects against tuberculosis and heterologous infections but elicits high inter-individual variation in specific and nonspecific, or trained, immune responses. While the gut microbiome is increasingly recognized as an important modulator of vaccine responses and immunity in general, its potential role in BCG-induced protection is largely unknown. RESULTS Stool and blood were collected from 321 healthy adults before BCG vaccination, followed by blood sampling after 2 weeks and 3 months. Metagenomics based on de novo genome assembly reveals 43 immunomodulatory taxa. The nonspecific, trained immune response is detected by altered production of cytokines IL-6, IL-1β, and TNF-α upon ex vivo blood restimulation with Staphylococcus aureus and negatively correlates with abundance of Roseburia. The specific response, measured by IFN-γ production upon Mycobacterium tuberculosis stimulation, is associated positively with Ruminococcus and Eggerthella lenta. The identified immunomodulatory taxa also have the strongest effects on circulating metabolites, with Roseburia affecting phenylalanine metabolism. This is corroborated by abundances of relevant enzymes, suggesting alternate phenylalanine metabolism modules are activated in a Roseburia species-dependent manner. CONCLUSIONS Variability in cytokine production after BCG vaccination is associated with the abundance of microbial genomes, which in turn affect or produce metabolites in circulation. Roseburia is found to alter both trained immune responses and phenylalanine metabolism, revealing microbes and microbial products that may alter BCG-induced immunity. Together, our findings contribute to the understanding of specific and trained immune responses after BCG vaccination.
Collapse
Affiliation(s)
| | - Vera P Mourits
- Department of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
| | - Valerie A C M Koeken
- Department of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Computational Biology for Individualised Infection Medicine, Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures Between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany
| | - L Charlotte J de Bree
- Department of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
- Research Center for Vitamins and Vaccines, Bandim Health Project, Statens Serum Institut, Copenhagen, Denmark
- Odense Patient Data Explorative Network, University of Southern Denmark/Odense University Hospital, Odense, Denmark
| | - Simone J C F M Moorlag
- Department of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
| | - Leo A B Joosten
- Department of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Medical Genetics, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Reinout van Crevel
- Department of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands
| | - Hera Vlamakis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mihai G Netea
- Department of Internal Medicine, Radboud Center for Infectious Diseases (RCI), Radboud University Medical Center, Nijmegen, The Netherlands.
- Department for Genomics & Immunoregulation, Life and Medical Sciences Institute (LIMES), University of Bonn, Bonn, Germany.
| | - Ramnik J Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Center for Computational and Integrative Biology, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
97
|
Peron G, Gargari G, Meroño T, Miñarro A, Lozano EV, Escuder PC, González-Domínguez R, Hidalgo-Liberona N, Del Bo' C, Bernardi S, Kroon PA, Carrieri B, Cherubini A, Riso P, Guglielmetti S, Andrés-Lacueva C. Crosstalk among intestinal barrier, gut microbiota and serum metabolome after a polyphenol-rich diet in older subjects with "leaky gut": The MaPLE trial. Clin Nutr 2021; 40:5288-5297. [PMID: 34534897 DOI: 10.1016/j.clnu.2021.08.027] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/04/2021] [Accepted: 08/31/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND &AIM The MaPLE study was a randomized, controlled, crossover trial involving adults ≥60 y.o. (n = 51) living in a residential care facility during an 8-week polyphenol-rich (PR)-diet. Results from the MaPLE trial showed that the PR-diet reduced the intestinal permeability (IP) in older adults by inducing changes to gut microbiota (GM). The present work aimed at studying the changes in serum metabolome in the MaPLE trial, as a further necessary step to depict the complex crosstalk between dietary polyphenols, GM, and intestinal barrier. METHODS Serum metabolome was monitored using a semi-targeted UHPLC-MS/MS analysis. Metataxonomic analysis (16S rRNA gene profiling) of GM was performed on faecal samples. Clinical characteristics and serum levels of the IP marker zonulin were linked to GM and metabolomics data in a multi-omics network. RESULTS Compared to the control diet, the PR-diet increased serum metabolites related to polyphenols and methylxanthine intake. Theobromine and methylxanthines, derived from cocoa and/or green tea, were positively correlated with butyrate-producing bacteria (the order Clostridiales and the genera Roseburia, Butyricicoccus and Faecalibacterium) and inversely with zonulin. A direct correlation between polyphenol metabolites hydroxyphenylpropionic acid-sulfate, 2-methylpyrogallol-sulfate and catechol-sulfate with Butyricicoccus was also observed, while hydroxyphenylpropionic acid-sulfate and 2-methylpyrogallol-sulfate negatively correlated with Methanobrevibacter. The multi-omics network indicated that participant's age, baseline zonulin levels, and changes in Porphyromonadaceae abundance were the main factors driving the effects of a PR-diet on zonulin. CONCLUSION Overall, these results reveal the complex relationships among polyphenols consumption, intestinal permeability, and GM composition in older adults, and they may be important when setting personalized dietary interventions for older adults. TRIAL REGISTRATION NUMBER ISRCTN10214981.
Collapse
Affiliation(s)
- Gregorio Peron
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Spain
| | - Giorgio Gargari
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università Degli Studi di Milano, 20133, Milan, Italy
| | - Tomás Meroño
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Spain.
| | - Antonio Miñarro
- Genetics, Microbiology and Statistics Department, University of Barcelona, 08028, Barcelona, Spain
| | - Esteban Vegas Lozano
- Genetics, Microbiology and Statistics Department, University of Barcelona, 08028, Barcelona, Spain
| | - Pol Castellano Escuder
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain; Genetics, Microbiology and Statistics Department, University of Barcelona, 08028, Barcelona, Spain
| | - Raúl González-Domínguez
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Spain
| | - Nicole Hidalgo-Liberona
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Spain
| | - Cristian Del Bo'
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università Degli Studi di Milano, 20133, Milan, Italy
| | - Stefano Bernardi
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università Degli Studi di Milano, 20133, Milan, Italy
| | - Paul Antony Kroon
- Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, United Kingdom
| | - Barbara Carrieri
- Geriatria, Accettazione Geriatrica e Centro di Ricerca per L'Invecchiamento, IRCCS INRCA, 60127, Ancona, Italy
| | - Antonio Cherubini
- Geriatria, Accettazione Geriatrica e Centro di Ricerca per L'Invecchiamento, IRCCS INRCA, 60127, Ancona, Italy
| | - Patrizia Riso
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università Degli Studi di Milano, 20133, Milan, Italy
| | - Simone Guglielmetti
- Department of Food, Environmental and Nutritional Sciences (DeFENS), Università Degli Studi di Milano, 20133, Milan, Italy.
| | - Cristina Andrés-Lacueva
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Spain
| |
Collapse
|
98
|
Keerthisinghe TP, Yang Q, Chow A, Fang M. Feeding state greatly modulates the effect of xenobiotics on gut microbiome metabolism: A case study of tetracycline. JOURNAL OF HAZARDOUS MATERIALS 2021; 413:125441. [PMID: 33930963 DOI: 10.1016/j.jhazmat.2021.125441] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 02/01/2021] [Accepted: 02/14/2021] [Indexed: 06/12/2023]
Abstract
The human gut microbiome is crucial in modulating host health mostly through bacterial metabolites. Chemical exposure is typical external stress which alters its composition and functionality. To date, very few studies have investigated the effect of feeding state on chemical-induced gut microbial metabolic dysregulations. Here, we set up an in vitro human gut microbiome and incorporated a metabolomics approach to investigate the effect of tetracycline (TET) at multiple doses (i.e., 10, 1, and 0.01 mg/L) on gut microbiome under the fed and fasted states. Overall, the metabolome was highly responsive at the fed state with 62 metabolites dysregulated while only 14 were altered at the fasted state under 10 mg/L (clinical TET dose). As expected, nutrient consumption was significantly inhibited under clinical TET dose at the fed state accumulating nutrients such as glutamate and leucine. Interestingly, at the fed state, TET could increase the synthesis of indole and phenyl derivatives including indole-3-aldehyde and hydrocinnamate, while inhibiting indoxyl, tryptamine, and vitamin B production, all of which have host health implications. Furthermore, metabolites like indoxyl and xanthurenic acid were still responsive at 0.01 mg/L (dietary TET dose). Collectively, results demonstrated that the feeding state greatly modulates the chemical-induced gut microbial metabolic alterations.
Collapse
Affiliation(s)
- Tharushi Prabha Keerthisinghe
- School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141
| | - Qin Yang
- School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141
| | - Agnes Chow
- School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141
| | - Mingliang Fang
- School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798; Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141; Singapore Phenome Center, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921.
| |
Collapse
|
99
|
The gut microbiota-related metabolite phenylacetylglutamine associates with increased risk of incident coronary artery disease. J Hypertens 2021; 38:2427-2434. [PMID: 32665522 DOI: 10.1097/hjh.0000000000002569] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
OBJECTIVE The gut microbiota is increasingly being implicated in cardiovascular health. Metabolites produced by bacteria have been suggested to be mediators in the bacterial action on cardiovascular health. We aimed to identify gut microbiota-related plasma metabolites and test whether these metabolites associate with future risk of coronary artery disease (CAD). METHODS Nontargeted metabolomics was performed using liquid chromatography-mass spectrometry in order to measure 1446 metabolite features in the Malmö Offspring Study (MOS) (N = 776). The gut microbiota was characterized using 16S rRNA sequencing. Gut bacteria-related metabolites were measured in two independent prospective cohorts, the Malmö Diet and Cancer - Cardiovascular Cohort (MDC-CC) (N = 3361) and the Malmö Preventive Project (MPP) (N = 880), in order to investigate the associations between gut bacteria-related metabolites and risk of CAD. RESULTS In MOS, 33 metabolite features were significantly (P < 4.8e-7) correlated with at least one operational taxonomic unit. Phenylacetylglutamine (PAG) was associated with an increased risk of future CAD, using inverse variance weighted meta-analysis of age and sex-adjusted logistic regression models in MDC-CC and MPP. PAG remained significantly associated with CAD (OR = 1.17, 95% CI = 1.06-1.29, P = 1.9e-3) after adjustments for cardiovascular risk factors. CONCLUSION The levels of 33 plasma metabolites were correlated with the gut microbiota. Out of these, PAG was associated with an increased risk of future CAD independently of other cardiovascular risk factors. Our results highlight a link between the gut microbiota and CAD risk and should encourage further studies testing if modification of PAG levels inhibits development of CAD.
Collapse
|
100
|
Effects of a Diet Based on Foods from Symbiotic Agriculture on the Gut Microbiota of Subjects at Risk for Metabolic Syndrome. Nutrients 2021; 13:nu13062081. [PMID: 34204572 PMCID: PMC8235411 DOI: 10.3390/nu13062081] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 06/14/2021] [Indexed: 12/20/2022] Open
Abstract
Diet is a major driver of gut microbiota variation and plays a role in metabolic disorders, including metabolic syndrome (MS). Mycorrhized foods from symbiotic agriculture (SA) exhibit improved nutritional properties, but potential benefits have never been investigated in humans. We conducted a pilot interventional study on 60 adults with ≥ 1 risk factors for MS, of whom 33 consumed SA-derived fresh foods and 27 received probiotics over 30 days, with a 15-day follow-up. Stool, urine and blood were collected over time to explore changes in gut microbiota, metabolome, and biochemical, inflammatory and immunologic parameters; previous dietary habits were investigated through a validated food-frequency questionnaire. The baseline microbiota showed alterations typical of metabolic disorders, mainly an increase in Coriobacteriaceae and a decrease in health-associated taxa, which were partly reversed after the SA-based diet. Improvements were observed in metabolome, MS presence (two out of six subjects no longer had MS) or components. Changes were more pronounced with less healthy baseline diets. Probiotics had a marginal, not entirely favorable, effect, although one out of three subjects no longer suffered from MS. These findings suggest that improved dietary patterns can modulate the host microbiota and metabolome, counteracting the risk of developing MS.
Collapse
|