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Kalnina I, Gudra D, Silamikelis I, Viksne K, Roga A, Skinderskis E, Fridmanis D, Klovins J. Variations in the Relative Abundance of Gut Bacteria Correlate with Lipid Profiles in Healthy Adults. Microorganisms 2023; 11:2656. [PMID: 38004667 PMCID: PMC10673050 DOI: 10.3390/microorganisms11112656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/04/2023] [Accepted: 10/26/2023] [Indexed: 11/26/2023] Open
Abstract
The gut microbiome is a versatile system regulating numerous aspects of host metabolism. Among other traits, variations in the composition of gut microbial communities are related to blood lipid patterns and hyperlipidaemia, yet inconsistent association patterns exist. This study aims to assess the relationships between the composition of the gut microbiome and variations in lipid profiles among healthy adults. This study used data and samples from 23 adult participants of a previously conducted dietary intervention study. Circulating lipid measurements and whole-metagenome sequences of the gut microbiome were derived from 180 blood and faecal samples collected from eight visits distributed across an 11-week study. Lipid-related variables explained approximately 4.5% of the variation in gut microbiome compositions, with higher effects observed for total cholesterol and high-density lipoproteins. Species from the genera Odoribacter, Anaerostipes, and Parabacteroides correlated with increased serum lipid levels, whereas probiotic species like Akkermansia muciniphila were more abundant among participants with healthier blood lipid profiles. An inverse correlation with serum cholesterol was also observed for Massilistercora timonensis, a player in regulating lipid turnover. The observed correlation patterns add to the growing evidence supporting the role of the gut microbiome as an essential regulator of host lipid metabolism.
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Affiliation(s)
- Ineta Kalnina
- Latvian Biomedical Research and Study Centre 1, LV-1067 Riga, Latvia
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Abstract
Cardiometabolic disease comprises cardiovascular and metabolic dysfunction and underlies the leading causes of morbidity and mortality, both within the United States and worldwide. Commensal microbiota are implicated in the development of cardiometabolic disease. Evidence suggests that the microbiome is relatively variable during infancy and early childhood, becoming more fixed in later childhood and adulthood. Effects of microbiota, both during early development, and in later life, may induce changes in host metabolism that modulate risk mechanisms and predispose toward the development of cardiometabolic disease. In this review, we summarize the factors that influence gut microbiome composition and function during early life and explore how changes in microbiota and microbial metabolism influence host metabolism and cardiometabolic risk throughout life. We highlight limitations in current methodology and approaches and outline state-of-the-art advances, which are improving research and building toward refined diagnosis and treatment options in microbiome-targeted therapies.
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Affiliation(s)
- Curtis L Gabriel
- Division of Gastroenterology, Hepatology and Nutrition (C.L.G.), Vanderbilt University Medical Center, Nashville
- Tennessee Center for AIDS Research (C.L.G.), Vanderbilt University Medical Center, Nashville
| | - Jane F Ferguson
- Division of Cardiovascular Medicine (J.F.F.), Vanderbilt University Medical Center, Nashville
- Vanderbilt Microbiome Innovation Center (J.F.F.), Vanderbilt University Medical Center, Nashville
- Vanderbilt Institute for Infection, Immunology, and Inflammation (J.F.F.), Vanderbilt University Medical Center, Nashville
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Amin N, Liu J, Bonnechere B, MahmoudianDehkordi S, Arnold M, Batra R, Chiou YJ, Fernandes M, Ikram MA, Kraaij R, Krumsiek J, Newby D, Nho K, Radjabzadeh D, Saykin AJ, Shi L, Sproviero W, Winchester L, Yang Y, Nevado-Holgado AJ, Kastenmüller G, Kaddurah-Daouk R, van Duijn CM. Interplay of Metabolome and Gut Microbiome in Individuals With Major Depressive Disorder vs Control Individuals. JAMA Psychiatry 2023; 80:597-609. [PMID: 37074710 PMCID: PMC10116384 DOI: 10.1001/jamapsychiatry.2023.0685] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 02/07/2023] [Indexed: 04/20/2023]
Abstract
Importance Metabolomics reflect the net effect of genetic and environmental influences and thus provide a comprehensive approach to evaluating the pathogenesis of complex diseases, such as depression. Objective To identify the metabolic signatures of major depressive disorder (MDD), elucidate the direction of associations using mendelian randomization, and evaluate the interplay of the human gut microbiome and metabolome in the development of MDD. Design, Setting and Participants This cohort study used data from participants in the UK Biobank cohort (n = 500 000; aged 37 to 73 years; recruited from 2006 to 2010) whose blood was profiled for metabolomics. Replication was sought in the PREDICT and BBMRI-NL studies. Publicly available summary statistics from a 2019 genome-wide association study of depression were used for the mendelian randomization (individuals with MDD = 59 851; control individuals = 113 154). Summary statistics for the metabolites were obtained from OpenGWAS in MRbase (n = 118 000). To evaluate the interplay of the metabolome and the gut microbiome in the pathogenesis of depression, metabolic signatures of the gut microbiome were obtained from a 2019 study performed in Dutch cohorts. Data were analyzed from March to December 2021. Main Outcomes and Measures Outcomes were lifetime and recurrent MDD, with 249 metabolites profiled with nuclear magnetic resonance spectroscopy with the Nightingale platform. Results The study included 6811 individuals with lifetime MDD compared with 51 446 control individuals and 4370 individuals with recurrent MDD compared with 62 508 control individuals. Individuals with lifetime MDD were younger (median [IQR] age, 56 [49-62] years vs 58 [51-64] years) and more often female (4447 [65%] vs 2364 [35%]) than control individuals. Metabolic signatures of MDD consisted of 124 metabolites spanning the energy and lipid metabolism pathways. Novel findings included 49 metabolites, including those involved in the tricarboxylic acid cycle (ie, citrate and pyruvate). Citrate was significantly decreased (β [SE], -0.07 [0.02]; FDR = 4 × 10-04) and pyruvate was significantly increased (β [SE], 0.04 [0.02]; FDR = 0.02) in individuals with MDD. Changes observed in these metabolites, particularly lipoproteins, were consistent with the differential composition of gut microbiota belonging to the order Clostridiales and the phyla Proteobacteria/Pseudomonadota and Bacteroidetes/Bacteroidota. Mendelian randomization suggested that fatty acids and intermediate and very large density lipoproteins changed in association with the disease process but high-density lipoproteins and the metabolites in the tricarboxylic acid cycle did not. Conclusions and Relevance The study findings showed that energy metabolism was disturbed in individuals with MDD and that the interplay of the gut microbiome and blood metabolome may play a role in lipid metabolism in individuals with MDD.
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Affiliation(s)
- Najaf Amin
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jun Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Bruno Bonnechere
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium
- Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, Hasselt University, Hasselt, Belgium
| | | | - Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Richa Batra
- Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York
| | - Yu-Jie Chiou
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Marco Fernandes
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jan Krumsiek
- Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, New York
| | - Danielle Newby
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Kwangsik Nho
- Center for Neuroimaging, Department of Radiology and Imaging Sciences and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis
| | - Djawad Radjabzadeh
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Andrew J. Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis
| | - Liu Shi
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - William Sproviero
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Laura Winchester
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Yang Yang
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
| | | | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina
| | - Cornelia M. van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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Agradi S, Cremonesi P, Menchetti L, Balzaretti C, Severgnini M, Riva F, Castiglioni B, Draghi S, Di Giancamillo A, Castrica M, Vigo D, Modina SC, Serra V, Quattrone A, Angelucci E, Pastorelli G, Curone G, Brecchia G. Bovine Colostrum Supplementation Modulates the Intestinal Microbial Community in Rabbits. Animals (Basel) 2023; 13:ani13060976. [PMID: 36978517 PMCID: PMC10044174 DOI: 10.3390/ani13060976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/25/2023] [Accepted: 03/07/2023] [Indexed: 03/30/2023] Open
Abstract
BC is a nutraceutical that can modulate intestinal microbiota. This study investigates the effects of BC diet supplementation on luminal and mucosa-associated microbiota in the jejunum, caecum, and colon of rabbits. Twenty-one New Zealand White female rabbits were divided into three experimental groups (n = 7) receiving a commercial feed (CTRL group) and the same diet supplemented with 2.5% and 5% BC (2.5% BC and 5% BC groups, respectively), from 35 (weaning) to 90 days of age (slaughtering). At slaughter, the digestive tract was removed from each animal, then both content and mucosa-associated microbiota of jejunum, caecum, and colon were collected and analysed by Next Generation 16SrRNA Gene Sequencing. Significant differences were found in the microbial composition of the three groups (i.e., beta-diversity: p < 0.01), especially in the caecum and colon of the 2.5% BC group. The relative abundance analysis showed that the families most affected by the BC administration were Clostridia UCG-014, Barnesiellaceae, and Eggerthellaceae. A trend was also found for Lachnospiraceae, Akkermansiaceae, and Bacteroidaceae. A functional prediction has revealed several altered pathways in BC groups, with particular reference to amino acids and lactose metabolism. Firmicutes:Bacteroidetes ratio decreased in caecum luminal samples of the 2.5% BC group. These findings suggest that BC supplementation could positively affect the intestinal microbiota. However, further research is needed to establish the optimal administration dose.
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Affiliation(s)
- Stella Agradi
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Paola Cremonesi
- Institute of Agricultural Biology and Biotechnology (IBBA), National Research Council (CNR), U.O.S. di Lodi, Via Einstein, 26900 Lodi, Italy
| | - Laura Menchetti
- School of Biosciences and Veterinary Medicine, University of Camerino, Via Circonvallazione 93/95, 62024 Matelica, Italy
| | - Claudia Balzaretti
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Marco Severgnini
- Institute of Biomedical Technologies (ITB), National Research Councili (CNR), Via Fratelli Cervi 93, 20054 Segrate, Italy
| | - Federica Riva
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Bianca Castiglioni
- Institute of Agricultural Biology and Biotechnology (IBBA), National Research Council (CNR), U.O.S. di Lodi, Via Einstein, 26900 Lodi, Italy
| | - Susanna Draghi
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Alessia Di Giancamillo
- Department of Biomedical Sciences for Health, University of Milan, Via Mangiagalli 31, 20133 Milan, Italy
| | - Marta Castrica
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Daniele Vigo
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Silvia Clotilde Modina
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Valentina Serra
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Alda Quattrone
- Department of Veterinary Medicine, University of Perugia, Via San Costanzo 4, 06126 Perugia, Italy
| | - Elisa Angelucci
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, Borgo XX Giugno, 74, 06121 Perugia, Italy
| | - Grazia Pastorelli
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Giulio Curone
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
| | - Gabriele Brecchia
- Department of Veterinary Medicine, University of Milano, Via dell'Università 6, 26900 Lodi, Italy
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