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Zulkifli S, Mohd Nor NS, Sheikh Abdul Kadir SH, Mohd Ranai N, Abdul Khalil K. Distinct gut flora profile induced by postnatal trans-fat diet in gestationally bisphenol A-exposed rats. PLoS One 2024; 19:e0306741. [PMID: 38980850 PMCID: PMC11233015 DOI: 10.1371/journal.pone.0306741] [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: 02/23/2024] [Accepted: 06/22/2024] [Indexed: 07/11/2024] Open
Abstract
There has been much evidence showing the repercussions of prenatal bisphenol A (BPA) exposure with a postnatal high fat-diet (HFD) on offspring's health. However, the information on how the interaction between these two variables affects the gut microbiome is rather limited. Hence, we investigated the impact of a postnatal trans fat diet (TFD) on the gut microbiome of offspring exposed to BPA during the prenatal period in an animal model. Pregnant rats were divided into 5 mg/kg/day BPA, vehicle Tween80 (P80) or control (CTL) drinking water until delivery (N = 6 per group). Then, weaned male pups were further subdivided into three normal diet (ND) groups (CTLND, P80ND, and BPAND) and three TFD groups (CTLTFD, P80TFD, and BPATFD) (n = 6 per group). 180-250 g of faecal samples were collected on days 50 and 100 to assess the composition of the offspring's intestinal flora using next-generation sequencing. The alpha diversity indices of TFD offspring with and without BPA were markedly lower than their ND counterparts (p<0.001-p<0.05). The beta diversity, hierarchical cluster and network analyses of the offspring's microbiome demonstrated that the microbiome species of the TFD group with and without BPA were distinctly different compared to the ND group. Consistently, TFD and ND offspring pairings exhibited a higher number of significantly different species (p<0.0001-p<0.05) compared to those exposed to prenatal BPA exposure and different life stages comparisons, as shown by the multivariate parametric analysis DESeq2. Predictive functional profiling of the offspring's intestinal flora demonstrated altered expressions of genes involved in metabolic pathways. In summary, the gut flora composition of the rat offspring may be influenced by postnatal diet instead of prenatal exposure to BPA. Our data indicate the possibility of perturbed metabolic functions and epigenetic modifications, in offspring that consumed TFD, which may theoretically lead to metabolic diseases in middle or late adulthood. Further investigation is necessary to fully understand these implications.
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Affiliation(s)
- Sarah Zulkifli
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), Faculty of Medicine, Universiti Teknologi MARA (UiTM) Sungai Buloh Campus, Selangor, Malaysia
| | - Noor Shafina Mohd Nor
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), Faculty of Medicine, Universiti Teknologi MARA (UiTM) Sungai Buloh Campus, Selangor, Malaysia
- Department of Paediatrics, Faculty of Medicine, Universiti Teknologi MARA (UiTM) Sungai Buloh Campus, Selangor, Malaysia
- Institute of Medical Molecular Biotechnology, Faculty of Medicine, Universiti Teknologi MARA (UiTM) Sungai Buloh Campus, Selangor, Malaysia
| | - Siti Hamimah Sheikh Abdul Kadir
- Institute for Pathology, Laboratory and Forensic Medicine (I-PPerForM), Faculty of Medicine, Universiti Teknologi MARA (UiTM) Sungai Buloh Campus, Selangor, Malaysia
- Department of Biochemistry and Molecular Medicine, Faculty of Medicine, Universiti Teknologi MARA (UiTM) Sungai Buloh Campus, Selangor, Malaysia
| | - Norashikin Mohd Ranai
- Department of Paediatrics, Faculty of Medicine, Universiti Teknologi MARA (UiTM) Sungai Buloh Campus, Selangor, Malaysia
| | - Khalilah Abdul Khalil
- Department of Biomolecular Sciences, Faculty of Applied Sciences, Universiti Teknologi MARA (UiTM) Shah Alam, Selangor, Malaysia
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Ezz El Deen NM, Karem M, El Borhamy MI, Hanora AMS, Fahmy N, Zakeer S. Multivariate Analysis and Correlation Study Shows the Impact of Anthropometric and Demographic Variables on Gut Microbiota in Obese Egyptian Children. Curr Microbiol 2024; 81:259. [PMID: 38972943 DOI: 10.1007/s00284-024-03771-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 06/11/2024] [Indexed: 07/09/2024]
Abstract
Deciphering the gut microbiome's link to obesity is crucial. Our study characterized the gut microbial community in Egyptian children and investigated the effect of covariates on the gut microbiome, body mass index (BMI), geographical location, gender, and age. We used 16S rRNA sequencing to characterize the gut microbial communities of 49 children. We then evaluated these communities for diversity, potential biomarkers, and functional capacity. Alpha diversity of the non-obese group was higher than that of the obese group (Chao1, P = 0.006 and observed species, P = 0.003). Beta diversity analysis revealed significant variations in the gut microbiome between the two geographical locations, Cairo and Ismailia (unweighted UniFrac, P = 0.03) and between obesity statuses, obese and non-obese (weighted UniFrac, P = 0.034; unweighted UniFrac, P = 0.015). We observed a significantly higher Firmicutes/Bacteroidetes ratio in obese males than in non-obese males (P = 0.004). Interestingly, this difference was not seen in females (P = 0.77). Multivariable association with linear models (MaAsLin2) identified 8 microbial features associated with obesity, 12 associated with non-obesity, and found 29 and 13 features specific to Cairo and Ismailia patients, respectively. It has also shown one microbial feature associated with patients under five years old. MaAsLin2, however, failed to recognize any association between gender and the gut microbiome. Moreover, it could find the most predominant features in groups 2-9 but not in group 1. Another method used in the analysis is the Linear discriminant analysis Effect Size (LEfSe) approach, which effectively identified 19 biomarkers linked to obesity, 9 linked non-obesity, 20 linked to patients residing in Cairo, 14 linked to patients in Ismailia, one linked to males, and 12 linked to females. LEfSe could not, however, detect any prevalent bacteria among children younger or older than five. Future studies should take advantage of such correlations, specifically BMI, to determine the interventions needed for obesity management.
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Affiliation(s)
- Nada Mohamed Ezz El Deen
- Department of Microbiology and Immunology, Faculty of Pharmacy, Misr International University, Cairo, Egypt
| | - Mona Karem
- Department of Pediatrics, Endocrinology and Diabetes Division, Faculty of Medicine, Suez Canal University, Ismailia, Egypt
| | - Mervat Ismail El Borhamy
- Department of Microbiology and Immunology, Faculty of Pharmacy, Misr International University, Cairo, Egypt
| | - Amro Mohamed Said Hanora
- Department of Microbiology and Immunology, Faculty of Pharmacy, King Salman International University, Ras Sudr, Egypt.
- Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt.
| | - Nora Fahmy
- Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
- Department of Microbiology and Immunology, Faculty of Pharmacy, Sinai University-Kantara Branch, Ismailia, Egypt
| | - Samira Zakeer
- Department of Microbiology and Immunology, Faculty of Pharmacy, Suez Canal University, Ismailia, Egypt
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Huang C, Xu S, Chen R, Ding Y, Fu Q, He B, Jiang T, Zeng B, Bao M, Li S. Assessing causal associations of bile acids with obesity indicators: A Mendelian randomization study. Medicine (Baltimore) 2024; 103:e38610. [PMID: 38905395 PMCID: PMC11191951 DOI: 10.1097/md.0000000000038610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 05/24/2024] [Indexed: 06/23/2024] Open
Abstract
Maintaining a balanced bile acids (BAs) metabolism is essential for lipid and cholesterol metabolism, as well as fat intake and absorption. The development of obesity may be intricately linked to BAs and their conjugated compounds. Our study aims to assess how BAs influence the obesity indicators by Mendelian randomization (MR) analysis. Instrumental variables of 5 BAs were obtained from public genome-wide association study databases, and 8 genome-wide association studies related to obesity indicators were used as outcomes. Causal inference analysis utilized inverse-variance weighted (IVW), weighted median, and MR-Egger methods. Sensitivity analysis involved MR-PRESSO and leave-one-out techniques to detect pleiotropy and outliers. Horizontal pleiotropy and heterogeneity were assessed using the MR-Egger intercept and Cochran Q statistic, respectively. The IVW analysis revealed an odds ratio of 0.94 (95% confidence interval: 0.88, 1.00; P = .05) for the association between glycolithocholate (GLCA) and obesity, indicating a marginal negative causal association. Consistent direction of the estimates obtained from the weighted median and MR-Egger methods was observed in the analysis of the association between GLCA and obesity. Furthermore, the IVW analysis demonstrated a suggestive association between GLCA and trunk fat percentage, with a beta value of -0.014 (95% confidence interval: -0.027, -0.0004; P = .04). Our findings suggest a potential negative causal relationship between GLCA and both obesity and trunk fat percentage, although no association survived corrections for multiple comparisons. These results indicate a trend towards a possible association between BAs and obesity, emphasizing the need for future studies.
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Affiliation(s)
- Chunxia Huang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Shuling Xu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Rumeng Chen
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Yining Ding
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Qingming Fu
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Binsheng He
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
| | - Ting Jiang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Bin Zeng
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Meihua Bao
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
- Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China
| | - Sen Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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Zoghi S, Sadeghpour Heravi F, Nikniaz Z, Shirmohamadi M, Moaddab SY, Ebrahimzadeh Leylabadlo H. Gut microbiota and childhood malnutrition: Understanding the link and exploring therapeutic interventions. Eng Life Sci 2024; 24:2300070. [PMID: 38708416 PMCID: PMC11065333 DOI: 10.1002/elsc.202300070] [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: 04/04/2023] [Revised: 09/12/2023] [Accepted: 09/22/2023] [Indexed: 05/07/2024] Open
Abstract
Childhood malnutrition is a metabolic condition that affects the physical and mental well-being of children and leads to resultant disorders in maturity. The development of childhood malnutrition is influenced by a number of physiological and environmental factors including metabolic stress, infections, diet, genetic variables, and gut microbiota. The imbalanced gut microbiota is one of the main environmental risk factors that significantly influence host physiology and childhood malnutrition progression. In this review, we have evaluated the gut microbiota association with undernutrition and overnutrition in children, and then the quantitative and qualitative significance of gut dysbiosis in order to reveal the impact of gut microbiota modification using probiotics, prebiotics, synbiotics, postbiotics, fecal microbiota transplantation, and engineering biology methods as new therapeutic challenges in the management of disturbed energy homeostasis. Understanding the host-microbiota interaction and the remote regulation of other organs and pathways by gut microbiota can improve the effectiveness of new therapeutic approaches and mitigate the negative consequences of childhood malnutrition.
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Affiliation(s)
- Sevda Zoghi
- Liver and Gastrointestinal Diseases Research CenterTabriz University of Medical SciencesTabrizIran
| | | | - Zeinab Nikniaz
- Liver and Gastrointestinal Diseases Research CenterTabriz University of Medical SciencesTabrizIran
| | - Masoud Shirmohamadi
- Liver and Gastrointestinal Diseases Research CenterTabriz University of Medical SciencesTabrizIran
| | - Seyed Yaghoub Moaddab
- Liver and Gastrointestinal Diseases Research CenterTabriz University of Medical SciencesTabrizIran
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Codazzi V, Frontino G, Galimberti L, Giustina A, Petrelli A. Mechanisms and risk factors of metabolic syndrome in children and adolescents. Endocrine 2024; 84:16-28. [PMID: 38133765 PMCID: PMC10987369 DOI: 10.1007/s12020-023-03642-x] [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: 10/18/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
Metabolic syndrome (MetS) is a complex disorder characterized by abdominal obesity, elevated blood pressure, hyperlipidemia, and elevated fasting blood glucose levels. The diagnostic criteria for MetS in adults are well-established, but there is currently no consensus on the definition in children and adolescents. The etiology of MetS is believed to involve a complex interplay between genetic predisposition and environmental factors. While genetic predisposition explains only a small part of MetS pathogenesis, modifiable environmental risk factors play a significant role. Factors such as maternal weight during pregnancy, children's lifestyle, sedentariness, high-fat diet, fructose and branched-chain amino acid consumption, vitamin D deficiency, and sleep disturbances contribute to the development of MetS. Early identification and treatment of MetS in children and adolescents is crucial to prevent the development of chronic diseases later in life. In this review we discuss the latest research on factors contributing to the pathogenesis of MetS in children, focusing on non-modifiable and modifiable risk factors, including genetics, dysbiosis and chronic low-grade inflammation.
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Li J, Barnes S, Lefkowitz E, Yarar-Fisher C. Unveiling the connection between gut microbiome and metabolic health in individuals with chronic spinal cord injury. Physiol Genomics 2024; 56:317-326. [PMID: 38344780 DOI: 10.1152/physiolgenomics.00107.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 01/26/2024] [Accepted: 02/05/2024] [Indexed: 03/22/2024] Open
Abstract
Accumulating evidence has revealed that alterations in the gut microbiome following spinal cord injury (SCI) exhibit similarities to those observed in metabolic syndrome. Considering the causal role of gut dysbiosis in metabolic syndrome development, SCI-induced gut dysbiosis may be a previously unidentified contributor to the increased risk of cardiometabolic diseases, which has garnered attention. With a cross-sectional design, we evaluated the correlation between gut microbiome composition and functional potential with indicators of metabolic health among 46 individuals with chronic SCI. Gut microbiome communities were profiled using next-generation sequencing techniques. Indices of metabolic health, including fasting lipid profile, glucose tolerance, insulin resistance, and inflammatory markers, were assessed through fasting blood tests and an oral glucose tolerance test. We used multivariate statistical techniques (i.e., regularized canonical correlation analysis) to identify correlations between gut bacterial communities, functional pathways, and metabolic health indicators. Our findings spotlight bacterial species and functional pathways associated with complex carbohydrate degradation and maintenance of gut barrier integrity as potential contributors to improved metabolic health. Conversely, those correlated with detrimental microbial metabolites and gut inflammatory pathways demonstrated associations with poorer metabolic health outcomes. This cross-sectional investigation represents a pivotal initial step toward comprehending the intricate interplay between the gut microbiome and metabolic health in SCI. Furthermore, our results identified potential targets for future research endeavors to elucidate the role of the gut microbiome in metabolic syndrome in this population.NEW & NOTEWORTHY Spinal cord injury (SCI) is accompanied by gut dysbiosis and the impact of this on the development of metabolic syndrome in this population remains to be investigated. Our study used next-generation sequencing and multivariate statistical analyses to explore the correlations between gut microbiome composition, function, and metabolic health indices in individuals with chronic SCI. Our results point to potential gut microbial species and functional pathways that may be implicated in the development of metabolic syndrome.
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Affiliation(s)
- Jia Li
- Department of Physical Medicine and Rehabilitation, The Ohio State University, Columbus, Ohio, United States
| | - Stephen Barnes
- Department of Pharmacology and Toxicology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Elliot Lefkowitz
- Department of Microbiology, The University of Alabama at Birmingham, Birmingham, Alabama, United States
| | - Ceren Yarar-Fisher
- Department of Physical Medicine and Rehabilitation, The Ohio State University, Columbus, Ohio, United States
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Zhou J, Zhu L, Li Y. Association between the triglyceride glucose index and diabetic retinopathy in type 2 diabetes: a meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1302127. [PMID: 38130393 PMCID: PMC10733479 DOI: 10.3389/fendo.2023.1302127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023] Open
Abstract
The triglyceride-glucose (TyG) index is an accessible and reliable surrogate indicator of insulin resistance and is strongly associated with diabetes. However, its relationship with diabetic retinopathy (DR) remains controversial. This meta-analysis aimed to assess the relationship between the TyG index and the prevalence of DR. Initial studies were searched from PubMed, Embase, Web of Science, and China National Knowledge Infrastructure (CNKI) electronic databases. The retrieval time range was from the establishment of the database to June 2023. Pooled estimates were derived using a random-effects model and reported as odds ratio (OR) with 95% confidence intervals (CIs). Two researchers independently assessed the methodological quality of the included studies. The Newcastle-Ottawa Quality Scale (NOS) was utilized to assess cohort studies or case-control studies. The Agency for Healthcare Research and Quality (AHRQ) methodology checklist was applied to assess cross-sectional studies. Ten observational studies encompassing 13716 patients with type 2 diabetes were included in the meta-analysis. The results showed that a higher TyG index increased the risk of DR compared with a low TyG index (OR: 2.34, 95% CI: 1.31-4.19, P < 0.05). When the index was analyzed as a continuous variable, consistent results were observed (OR: 1.48, 95% CI: 1.12-1.97, P < 0.005). There was no significant effect on the results of the sensitivity analyses excluding one study at a time (P all < 0.05). A higher TyG index may be associated with an increased prevalence of DR in patients with type 2 diabetes. However, high-quality cohort or case-control studies are needed to further substantiate this evidence. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023432747.
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Affiliation(s)
- Jianlong Zhou
- Department of Traditional Chinese Medicine, People’s Hospital of Deyang City, Deyang, China
| | - Lv Zhu
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yadi Li
- Department of Traditional Chinese Medicine, People’s Hospital of Deyang City, Deyang, China
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Jacky D, Bibi C, Meng LMC, Jason F, Gwendoline T, Jeremy L, Wie CC. Effects of OsomeFood Clean Label plant-based meals on the gut microbiome. BMC Microbiol 2023; 23:88. [PMID: 36997838 PMCID: PMC10061721 DOI: 10.1186/s12866-023-02822-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 03/14/2023] [Indexed: 04/01/2023] Open
Abstract
BACKGROUND Plant-based diets offer more beneficial microbes and can modulate gut microbiomes to improve human health. We evaluated the effects of the plant-based OsomeFood Clean Label meal range ('AWE' diet), on the human gut microbiome. METHODS Over 21 days, ten healthy participants consumed OsomeFood meals for five consecutive weekday lunches and dinners and resumed their regular diets for other days/meals. On follow-up days, participants completed questionnaires to record satiety, energy and health, and provided stool samples. To document microbiome variations and identify associations, species and functional pathway annotations were analyzed by shotgun sequencing. Shannon diversity and regular diet calorie intake subsets were also assessed. RESULTS Overweight participants gained more species and functional pathway diversity than normal BMI participants. Nineteen disease-associated species were suppressed in moderate-responders without gaining diversity, and in strong-responders with diversity gains along with health-associated species. All participants reported improved short-chain fatty acids production, insulin and γ-aminobutyric acid signaling. Moreover, fullness correlated positively with Bacteroides eggerthii; energetic status with B. uniformis, B. longum, Phascolarctobacterium succinatutens, and Eubacterium eligens; healthy status with Faecalibacterium prausnitzii, Prevotella CAG 5226, Roseburia hominis, and Roseburia sp. CAG 182; and overall response with E. eligens and Corprococcus eutactus. Fiber consumption was negatively associated with pathogenic species. CONCLUSION Although the AWE diet was consumed for only five days a week, all participants, especially overweight ones, experienced improved fullness, health status, energy and overall responses. The AWE diet benefits all individuals, especially those of higher BMI or low-fiber consumption.
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Affiliation(s)
- Dwiyanto Jacky
- Department of Medical Microbiology, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia.
| | | | | | | | | | | | - Chong Chun Wie
- School of Pharmacy, Monash University Malaysia, 47500, Subang Jaya, Malaysia
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Murga-Garrido SM, Ulloa-Pérez EJ, Díaz-Benítez CE, Orbe-Orihuela YC, Cornejo-Granados F, Ochoa-Leyva A, Sanchez-Flores A, Cruz M, Castañeda-Márquez AC, Plett-Torres T, Burguete García AI, Lagunas-Martínez A. Virulence Factors of the Gut Microbiome Are Associated with BMI and Metabolic Blood Parameters in Children with Obesity. Microbiol Spectr 2023; 11:e0338222. [PMID: 36786619 PMCID: PMC10101034 DOI: 10.1128/spectrum.03382-22] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 01/29/2023] [Indexed: 02/15/2023] Open
Abstract
The development of metabolic diseases is linked to the gut microbiota. A cross-sectional study involving 45 children (6 to 12 years old) was conducted to investigate the relationship between gut microbiota and childhood obesity. Anthropometric and metabolic measurements, food-frequency questionnaires (FFQs), and feces samples were obtained. Using the body mass index (BMI) z-score, we categorized each participant as normal weight (NW), or overweight and obese (OWOB). We determined 2 dietary profiles: one with complex carbohydrates and proteins (pattern 1), and the other with saturated fat and simple carbohydrates (pattern 2). The microbial taxonomic diversity and metabolic capacity were determined using shotgun metagenomics. We found differences between both BMI groups diversity. Taxa contributing to this difference, included Eubacterium sp., Faecalibacterium prausnitzii, Dialister, Monoglobus pectinilyticus, Bifidobacterium pseudocatenulatum, Intestinibacter bartlettii, Bacteroides intestinalis, Bacteroides uniformis, and Methanobrevibacter smithii. Metabolic capacity differences found between NW and OWOB, included the amino acid biosynthesis pathway, the cofactor, carrier, and vitamin biosynthesis pathway, the nucleoside and nucleotide biosynthesis and degradation pathways, the carbohydrate-sugar degradation pathway, and the amine and polyamine biosynthesis pathway. We found significant associations between taxa such as Ruminococcus, Mitsuokella multacida, Klebsiella variicola, and Citrobacter spp., metabolic pathways with the anthropometric, metabolic, and dietary data. We also found the microbiome's lipooligosaccharide (LOS) category as differentially abundant between BMI groups. Metabolic variations emerge during childhood as a result of complex nutritional and microbial interactions, which should be explained in order to prevent metabolic illnesses in adolescence and maturity. IMPORTANCE The alteration of gut microbiome composition has been commonly observed in diseases involving inflammation, such as obesity and metabolic impairment. Inflammatory host response in the gut can be a consequence of dietary driven dysbiosis. This response is conducive to blooms of particular bacterial species, adequate to survive in an inflammatory environment by means of genetical capability of utilizing alternative nutrients. Understanding the genomic and metabolic contribution of microbiota to inflammation, including virulence factor prevalence and functional potential, will contribute to identifying modifiable early life exposures and preventive strategies associated with obesity risk in childhood.
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Affiliation(s)
- S. M. Murga-Garrido
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
- PECEM (MD/PhD), Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - E. J. Ulloa-Pérez
- Department of Biostatistics, University of Washington, Seattle, Washington, USA
| | - C. E. Díaz-Benítez
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | - Y. C. Orbe-Orihuela
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | - F. Cornejo-Granados
- Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
| | - A. Ochoa-Leyva
- Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
| | - A. Sanchez-Flores
- Unidad Universitaria de Secuenciación Masiva y Bioinformática, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
| | - M. Cruz
- Unidad de Investigación Médica en Bioquímica, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City, Mexico
| | - A. C. Castañeda-Márquez
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | - T. Plett-Torres
- PECEM (MD/PhD), Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - A. I. Burguete García
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
| | - A. Lagunas-Martínez
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Salud Pública, Cuernavaca, Mexico
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Fiore G, Pascuzzi MC, Di Profio E, Corsello A, Agostinelli M, La Mendola A, Milanta C, Campoy C, Calcaterra V, Zuccotti G, Verduci E. Bioactive compounds in childhood obesity and associated metabolic complications: Current evidence, controversies and perspectives. Pharmacol Res 2023; 187:106599. [PMID: 36503001 DOI: 10.1016/j.phrs.2022.106599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 12/13/2022]
Abstract
Obesity represents the most frequent chronic disease among children worldwide, with a significant global burden on society. Metabolically unhealthy obesity (MUO) can affect children since their first years of life, and novel therapeutic strategies to tackle metabolic complications are under investigation. This review focuses on bioactive compounds and their possible beneficial effects on obesity, particularly omega-3, docosahexaenoic acid, vitamin D, biotics, polysaccharide macromolecules, polyphenols, inositols, alpha lipoic acid, and bromelaine. Our aim is to summarize current evidence about bioactive compounds in the treatment of obesity, highlighting recent findings on their use in children and adolescents. Most studied molecules are omega-3 and vitamin D, despite the heterogeneity between the studies. Moreover, given the emerging interest in the gut-brain axis in the link between metabolic health and microbiota, various studies on prebiotics, probiotics, synbiotics, postbiotics and polysaccharide macromolecules have been considered. Some preclinical studies seem to highlight a possible role of the polyphenols, even if their clinical evidence is still discussed. Lastly, we describe possible effects of inositols and alpha-lipoic acid. Despite some dietary supplements seem to be promising in overweight subjects, only in a few of them a dose/response efficacy has been found in the pediatric age. Innovative, well-designed and targeted clinical trials are then needed to prove the beneficial effects of these compounds that could support the standard behavioral therapy for obesity.
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Affiliation(s)
- Giulia Fiore
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy.
| | | | - Elisabetta Di Profio
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy.
| | - Antonio Corsello
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy.
| | - Marta Agostinelli
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy.
| | - Alice La Mendola
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy.
| | - Chiara Milanta
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy.
| | - Cristina Campoy
- Department of Paediatrics, School of Medicine, University of Granada, Granada, Spain; EURISTIKOS Excellence Centre for Paediatric Research, Biomedical Research Centre, University of Granada, Granada, Spain; Spanish Network of Biomedical Research in Epidemiology and Public Health (CIBERESP), Granada's node, Institute of Health Carlos III, 28029 Madrid, Spain; Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), San Cecilio University Hospital. Health Sciences Technological Park, 18016 Granada, Spain.
| | - Valeria Calcaterra
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy; Pediatric and Adolescent Unit, Department of Internal Medicine, University of Pavia, 27100 Pavia, Italy.
| | - Gianvincenzo Zuccotti
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy; Department of Biomedical and Clinical Sciences L. Sacco, University of Milan, 20144 Milan, Italy; Pediatric Clinical Research Center, Fondazione Romeo ed Enrica Invernizzi, University of Milan, Milan, Italy.
| | - Elvira Verduci
- Department of Paediatrics, Vittore Buzzi Children's Hospital, University of Milan, Italy; Department of Health Sciences, University of Milan, Milan, Italy.
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11
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Esquivel-Hernández DA, Martínez-López YE, Sánchez-Castañeda JP, Neri-Rosario D, Padrón-Manrique C, Giron-Villalobos D, Mendoza-Ortíz C, Resendis-Antonio O. A network perspective on the ecology of gut microbiota and progression of type 2 diabetes: Linkages to keystone taxa in a Mexican cohort. Front Endocrinol (Lausanne) 2023; 14:1128767. [PMID: 37124757 PMCID: PMC10130651 DOI: 10.3389/fendo.2023.1128767] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 03/21/2023] [Indexed: 05/02/2023] Open
Abstract
Introduction The human gut microbiota (GM) is a dynamic system which ecological interactions among the community members affect the host metabolism. Understanding the principles that rule the bidirectional communication between GM and its host, is one of the most valuable enterprise for uncovering how bacterial ecology influences the clinical variables in the host. Methods Here, we used SparCC to infer association networks in 16S rRNA gene amplicon data from the GM of a cohort of Mexican patients with type 2 diabetes (T2D) in different stages: NG (normoglycemic), IFG (impaired fasting glucose), IGT (impaired glucose tolerance), IFG + IGT (impaired fasting glucose plus impaired glucose tolerance), T2D and T2D treated (T2D with a 5-year ongoing treatment). Results By exploring the network topology from the different stages of T2D, we observed that, as the disease progress, the networks lose the association between bacteria. It suggests that the microbial community becomes highly sensitive to perturbations in individuals with T2D. With the purpose to identify those genera that guide this transition, we computationally found keystone taxa (driver nodes) and core genera for a Mexican T2D cohort. Altogether, we suggest a set of genera driving the progress of the T2D in a Mexican cohort, among them Ruminococcaceae NK4A214 group, Ruminococcaceae UCG-010, Ruminococcaceae UCG-002, Ruminococcaceae UCG-005, Alistipes, Anaerostipes, and Terrisporobacter. Discussion Based on a network approach, this study suggests a set of genera that can serve as a potential biomarker to distinguish the distinct degree of advances in T2D for a Mexican cohort of patients. Beyond limiting our conclusion to one population, we present a computational pipeline to link ecological networks and clinical stages in T2D, and desirable aim to advance in the field of precision medicine.
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Affiliation(s)
| | - Yoscelina Estrella Martínez-López
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Programa de Doctorado en Ciencias Médicas, Odontológicas y de la Salud, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
- Metabolic Research Laboratory, Department of Medicine and Nutrition, University of Guanajuato, León, Guanajuato, Mexico
| | - Jean Paul Sánchez-Castañeda
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Programa de Maestría en Ciencias Bioquímicas, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
| | - Daniel Neri-Rosario
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Programa de Maestría en Ciencias Bioquímicas, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
| | - Cristian Padrón-Manrique
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Programa de Doctorado en Ciencias Biomédicas, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
| | - David Giron-Villalobos
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Programa de Maestría en Ciencias Bioquímicas, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
| | - Cristian Mendoza-Ortíz
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Programa de Maestría en Ciencias Bioquímicas, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
| | - Osbaldo Resendis-Antonio
- Human Systems Biology Laboratory, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
- Coordinación de la Investigación Científica – Red de Apoyo a la Investigación, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
- Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, Mexico
- *Correspondence: Osbaldo Resendis-Antonio,
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12
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Zyoud SH, Shakhshir M, Abushanab AS, Koni A, Shahwan M, Jairoun AA, Al-Jabi SW. Global research trends on the links between insulin resistance and obesity: a visualization analysis. TRANSLATIONAL MEDICINE COMMUNICATIONS 2022; 7:18. [DOI: 10.1186/s41231-022-00124-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 07/16/2022] [Indexed: 12/01/2023]
Abstract
AbstractBackgroundObesity increases the chance of developing insulin resistance. Numerous inflammatory markers have been linked to an increased risk of insulin resistance in obese individuals. Therefore, we performed a bibliometric analysis to determine global research activity and current trends in the field of obesity and insulin resistance.MethodsScopus was used between 2002 and 2021 to retrieve publications related to terms related to obesity and insulin resistance. Data were exported to Microsoft Excel. Additionally, we use VOSviewer software to create visualization maps that describe international collaborations and research hotspots.ResultsWe identified 6626 publications, including 5754 journal articles, 498 review articles, and 109 letters to the editor. The most productive countries were the United States (n = 995, 30.11%), followed by China (n = 650, 9.81%), Italy (n = 412, 6.22%) and Spain (n = 386, 5.83%). Previously to 2012, this field was mainly focused on ‘adipocyte dysfunctions that link obesity with insulin resistance”; and ‘relationship between obesity, insulin resistance, and risk of cardiovascular disease’. ‘Supplements improve insulin sensitivity‘, and ‘obesity-induced inflammation and insulin resistance’ were found more recently (after 2014), indicating that research in this field has acquired significant interest and emphasis in recent years.ConclusionsThis is the first bibliometric study to focus on publications related to insulin resistance and obesity at the global level. Our reporting of quantifiable knowledge in this field may be useful in providing evidence and direction for future research, clinical practice, and educational initiatives.
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13
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Fiore G, Magenes VC, DI Profio E, Milanta C, Calcaterra V, Diamanti A, Campoy C, Zuccotti G, Verduci E. Gut microbiota in obesity and related comorbidities in children and adolescents: the role of biotics in treatment. Minerva Pediatr (Torino) 2022; 74:632-649. [PMID: 35708037 DOI: 10.23736/s2724-5276.22.06964-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Obesity is a complex pathology, globally spread, with a multifactorial pathogenesis, strictly linked with lifestyle, hormones, genetic and epigenetic factors. Evidence supports that obesity, and its comorbidities, are related to changes in gut microbiota, partially responsible of the modulation of energy metabolism. EVIDENCE ACQUISITION Pediatric obesity has been associated with lower bacterial diversity and differences in composition of the gut microbiota, also varying according to the metabolic status of obese subjects. Indeed, differences in distributions and activity of microorganisms in the gut of metabolically healthy and unhealthy obese children have been highlighted. EVIDENCE SYNTHESIS Based on human studies, this review aims to discuss gut microbiota alterations in obese children and adolescents and its role in obese-related complications. Moreover, the role of biotics (probiotics, prebiotics, synbiotics and -marginally- postbiotics) has been analyzed as modulator of obesity-related dysbiosis. CONCLUSIONS As a conclusion, a deeper knowledge about biotic mechanisms of action would be of great interest to implement the clinical care of children and adolescents with obesity and related comorbidities.
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Affiliation(s)
- Giulia Fiore
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Vittoria C Magenes
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Elisabetta DI Profio
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Chiara Milanta
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Valeria Calcaterra
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy.,Pediatric and Adolescent Unit, Department of Internal Medicine, University of Pavia, Pavia, Italy
| | - Antonella Diamanti
- Unit of Hepatology Gastroenterology and Nutrition, Bambino Gesù Children's Hospital, Rome, Italy
| | - Cristina Campoy
- Centre of Excellence for Pediatric Research EURISTIKOS, Department of Pediatrics, University of Granada, Granada, Spain
| | - Gianvincenzo Zuccotti
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy.,L. Sacco Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.,Pediatric Clinical Research Center Fondazione Romeo ed Enrica Invernizzi, University of Milan, Milan, Italy
| | - Elvira Verduci
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy - .,Department of Health Sciences, University of Milan, Milan, Italy
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14
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Villaseñor-Aranguren M, Rosés C, Riezu-Boj JI, López-Yoldi M, Ramos-Lopez O, Barceló AM, Milagro FI. Association of the Gut Microbiota with the Host's Health through an Analysis of Biochemical Markers, Dietary Estimation, and Microbial Composition. Nutrients 2022; 14:nu14234966. [PMID: 36500996 PMCID: PMC9735734 DOI: 10.3390/nu14234966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/04/2022] [Accepted: 11/04/2022] [Indexed: 11/25/2022] Open
Abstract
This study aims to analyze the relationship between gut microbiota composition and health parameters through specific biochemical markers and food consumption patterns in the Spanish population. This research includes 60 Spanish adults aged 47.3 ± 11.2 years old. Biochemical and anthropometric measurements, and a self-referred dietary survey (food frequency questionnaire), were analyzed and compared with the participant´s gut microbiota composition analyzed by 16s rDNA sequencing. Several bacterial strains differed significantly with the biochemical markers analyzed, suggesting an involvement in the participant´s metabolic health. Lower levels of Lactobacillaceae and Oscillospiraceae and an increase in Pasteurellaceae, Phascolarctobacterium, and Haemophilus were observed in individuals with higher AST levels. Higher levels of the Christensenellaceae and a decrease in Peptococcaceae were associated with higher levels of HDL-c. High levels of Phascolarctobacterium and Peptococcus and low levels of Butyricicoccus were found in individuals with higher insulin levels. This study also identified associations between bacteria and specific food groups, such as an increase in lactic acid bacteria with the consumption of fermented dairy products or an increase in Verrucomicrobiaceae with the consumption of olive oil. In conclusion, this study reinforces the idea that specific food groups can favorably modulate gut microbiota composition and have an impact on host´s health.
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Affiliation(s)
| | - Carles Rosés
- Servei de Genὸmica, Universitat Autὸnoma de Barcelona, 08193 Bellaterra, Spain
| | - José Ignacio Riezu-Boj
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Miguel López-Yoldi
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Baja California, Mexico
| | - Anna M. Barceló
- Servei de Genὸmica, Universitat Autὸnoma de Barcelona, 08193 Bellaterra, Spain
| | - Fermín I. Milagro
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Carlos III Health Institute, 28029 Madrid, Spain
- Correspondence:
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15
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Zhang Y, Pan H, Ye X, Chen S. Proanthocyanidins from Chinese bayberry leaves reduce obesity and associated metabolic disorders in high-fat diet-induced obese mice through a combination of AMPK activation and an alteration in gut microbiota. Food Funct 2022; 13:2295-2305. [PMID: 35142317 DOI: 10.1039/d1fo04147a] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Regulating host energy metabolism and re-shaping gut microbiota are effective strategies against high-fat diet (HFD)-induced obesity and related metabolic disorders. A special type of proanthocyanidin extracted from Chinese bayberry leaves (BLPs) was studied for its effects and mechanisms in preventing HFD-induced obesity in mice. BLPs significantly reduced body weight, ameliorated inflammation and regulated gut dysbiosis in HFD-fed mice. BLPs activated AMP-activated protein kinase (AMPK) in the liver and white adipose tissue (WAT), which led to the downregulation of genes related to lipogenesis (ACC, FAS and SREBP-1c), and the upregulation of genes related to β-oxidation. Furthermore, BLPs improved HFD-induced gut dysbiosis by sharply decreasing the percentage of an endotoxin-producing bacteria - Desulfovibrionaceae, and enabling some distinct bacteria, such as Peptococcaceae, Clostridiaceae and Desulfovibrio. BLPs also reduced the circulated endotoxin and maintained the gut barrier's integrity. Further antibiotic treatment revealed that depleting the gut microbiota abrogated the anti-obesogenic effects of BLPs, yet did not affect AMPK activation. Collectively, these results suggest that BLPs reduce obesity and associated metabolic disorders in HFD-fed mice through a combination of AMPK activation and an alteration in gut microbiota.
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Affiliation(s)
- Yu Zhang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.,National Grain Industry (Urban Grain and Oil Security) Technology Innovation Center, Shanghai, 200093, China
| | - Haibo Pan
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Fuli Institute of Food Science, Zhejiang R&D Center for Food Technology and Equipment, Zhejiang University, Hangzhou, 310058, China.
| | - Xingqian Ye
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Fuli Institute of Food Science, Zhejiang R&D Center for Food Technology and Equipment, Zhejiang University, Hangzhou, 310058, China.
| | - Shiguo Chen
- Department of Food Science and Nutrition, Zhejiang Key Laboratory for Agro-Food Processing, Fuli Institute of Food Science, Zhejiang R&D Center for Food Technology and Equipment, Zhejiang University, Hangzhou, 310058, China.
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16
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de Cuevillas B, Milagro FI, Tur JA, Gil-Campos M, de Miguel-Etayo P, Martínez JA, Navas-Carretero S. Fecal microbiota relationships with childhood obesity: A scoping comprehensive review. Obes Rev 2022; 23 Suppl 1:e13394. [PMID: 34913242 DOI: 10.1111/obr.13394] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 10/28/2021] [Indexed: 12/18/2022]
Abstract
Childhood obesity is a costly burden in most regions with relevant and adverse long-term health consequences in adult life. Several studies have associated excessive body weight with a specific profile of gut microbiota. Different factors related to fecal microorganism abundance seem to contribute to childhood obesity, such as gestational weight gain, perinatal diet, antibiotic administration to the mother and/or child, birth delivery, and feeding patterns, among others. This review reports and discusses diverse factors that affect the infant intestinal microbiota with putative or possible implications on the increase of the obesity childhood rates as well as microbiota shifts associated with excessive body weight in children.
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Affiliation(s)
- Begoña de Cuevillas
- Center for Nutrition Research, Department of Nutrition, Food Sciences and Physiology. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | - Fermín I Milagro
- Center for Nutrition Research, Department of Nutrition, Food Sciences and Physiology. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Health Research Institute of Navarra, Pamplona, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands-IUNICS & IDISBA, Palma de Mallorca, Spain
| | - Mercedes Gil-Campos
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, Córdoba, Spain
| | - Pilar de Miguel-Etayo
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza. Instituto de Investigación Sanitaria de Aragón (IIS Aragón), Zaragoza, Spain
| | - J Alfredo Martínez
- Center for Nutrition Research, Department of Nutrition, Food Sciences and Physiology. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Health Research Institute of Navarra, Pamplona, Spain.,Precision Nutrition Program, Research Institute on Food and Health Sciences IMDEA Food. CSIC-UAM, Madrid, Spain
| | - Santiago Navas-Carretero
- Center for Nutrition Research, Department of Nutrition, Food Sciences and Physiology. School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.,Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.,IdiSNA, Health Research Institute of Navarra, Pamplona, Spain
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17
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Nizigiyimana P, Xu B, Liu L, Luo L, Liu T, Jiang M, Liu Z, Li C, Luo X, Lei M. Gut microbiota is associated with differential metabolic characteristics: A study on a defined cohort of Africans and Chinese. Front Endocrinol (Lausanne) 2022; 13:942383. [PMID: 36246928 PMCID: PMC9554505 DOI: 10.3389/fendo.2022.942383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/25/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study intended to determine the associations between gut microbiota and glucose response in healthy individuals and analyze the connection between the gut microbiome and glucose-metabolism-related parameters. METHODS Fecal bacterial composition and anthropometric, body composition, body fat distribution, and biochemical measures were analyzed. A 75-g oral glucose tolerance test (OGTT) was given to each participant to investigate changes in glucagon-like peptide 1 (GLP-1), insulin, and glucose. The whole body fat and the regions of interest of local body composition were analyzed using dual-energy X-ray absorptiometry (DEXA), and gut microbiota composition was assessed through variable regions (V3-V4) of the bacterial 16s ribosomal RNA gene using high-throughput sequencing techniques. Spearman correlation analysis was used to evaluate the association between gut microbiota and clinical and metabolic changes. RESULTS The number of operational taxonomic units (OTUs) demonstrated a reduction in the diversity and composition of gut microbiota associated with enhanced adiposity, dyslipidemia, insulin resistance, and hyperglycemia. The alpha diversity revealed that microbiota diversity, richness, and composition were higher in the African group and lower in the Chinese group. Principal coordinates analysis (PCoA) plots of beta diversity showed significant variability in gut microbial community structure between the two groups (p = 0.0009). LEfSe analysis showed that phylum Bacteroidetes was significantly more abundant in the Chinese group, and this group also harbored members of the order Bacteroidales, family Bacteroidaceae, and genus Bacteroides. In contrast, the phylum Verrucomicrobia was significantly more prevalent in the African group (all p < 0.05). Concerning species, metastats analysis revealed 8 species in the Chinese group and 18 species in the African group that were significantly abundant. Spearman's correlation analysis demonstrated that gut microbiota correlated with the factors that related to glucose metabolism. CONCLUSION Our data suggest that there is an interaction between gut microbiota, host physiology, and glucometabolic pathways, and this could contribute to adiposity and pathophysiology of hyperlipidemia, insulin resistance, and hyperglycemia. These findings provide an important basis for determining the relation between the gut microbiota and the pathogenesis of various metabolic disorders.
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Affiliation(s)
- Paul Nizigiyimana
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Boya Xu
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Lerong Liu
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Liping Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Tingting Liu
- Department of Endocrinology, Haikou Hospital Affiliated to Xiangya School of Medicine, Central South University, Haikou, China
| | - Meng Jiang
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Zehao Liu
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Changjun Li
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
| | - Minxiang Lei
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, China
- *Correspondence: Minxiang Lei,
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18
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Yuan X, Chen R, Zhang Y, Lin X, Yang X. Altered Gut Microbiota in Children With Hyperuricemia. Front Endocrinol (Lausanne) 2022; 13:848715. [PMID: 35574004 PMCID: PMC9091909 DOI: 10.3389/fendo.2022.848715] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 03/24/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND In adults, gut dysbiosis may contribute to the pathogenesis of gout. However, the characteristics of gut microbiota in children with hyperuricemia (HUA) in the absence of clinical gout have not been explored. OBJECTIVE This present study analyzed the gut microbiota in children with HUA as compared to controls (Con) and explored bacterial associations that may account for differences. METHODS A total of 80 children were enrolled in this study; they were divided into HUA and Con according to the level of serum uric acid (UA). The composition of gut microbiota was investigated by 16S rRNA high-throughput sequencing. RESULTS Principal coordinate analysis revealed that gut microbiota of the HUA group was clustered together and separated partly from the Con group. There was no difference in alpha-diversity between the two groups. However, Spearman's correlation analysis revealed that serum UA level positively correlated with genera Actinomyces, Morganella, and Streptococcus, and negatively associated with the producers of short-chain fatty acids (SCFAs), such as Alistipes, Faecalibacterium, and Oscillospira, and the sulfidogenic bacteria Bilophila. The members of the genera Alistipes and Bilophila in the Con group were significantly more prevalent than the HUA subjects. Compared to the Con cohort, metabolic pathway predictions found that the superpathways of purine nucleotide de novo biosynthesis were decreased in HUA subjects, whereas the superpathway of purine deoxyribonucleoside de gradation was increased. CONCLUSION The composition of the gut microbiota in children with HUA differs from Con. Although causality cannot be established, modification in the microbiota that produces SCFA and sulfide may promote HUA.
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19
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Zhang Q, Zhang Y, Zeng L, Chen G, Zhang L, Liu M, Sheng H, Hu X, Su J, Zhang D, Lu F, Liu X, Zhang L. The Role of Gut Microbiota and Microbiota-Related Serum Metabolites in the Progression of Diabetic Kidney Disease. Front Pharmacol 2021; 12:757508. [PMID: 34899312 PMCID: PMC8652004 DOI: 10.3389/fphar.2021.757508] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 10/15/2021] [Indexed: 12/12/2022] Open
Abstract
Objective: Diabetic kidney disease (DKD) has become the major cause of end-stage renal disease (ESRD) associated with the progression of renal fibrosis. As gut microbiota dysbiosis is closely related to renal damage and fibrosis, we investigated the role of gut microbiota and microbiota-related serum metabolites in DKD progression in this study. Methods: Fecal and serum samples obtained from predialysis DKD patients from January 2017 to December 2019 were detected using 16S rRNA gene sequencing and liquid chromatography-mass spectrometry, respectively. Forty-one predialysis patients were divided into two groups according to their estimated glomerular filtration rate (eGFR): the DKD non-ESRD group (eGFR ≥ 15 ml/min/1.73 m2) (n = 22), and the DKD ESRD group (eGFR < 15 ml/min/1.73 m2) (n = 19). The metabolic pathways related to differential serum metabolites were obtained by the KEGG pathway analysis. Differences between the two groups relative to gut microbiota profiles and serum metabolites were investigated, and associations between gut microbiota and metabolite concentrations were assessed. Correlations between clinical indicators and both microbiota-related metabolites and gut microbiota were calculated by Spearman rank correlation coefficient and visualized by heatmap. Results: Eleven different intestinal floras and 239 different serum metabolites were identified between the two groups. Of 239 serum metabolites, 192 related to the 11 different intestinal flora were mainly enriched in six metabolic pathways, among which, phenylalanine and tryptophan metabolic pathways were most associated with DKD progression. Four microbiota-related metabolites in the phenylalanine metabolic pathway [hippuric acid (HA), L-(−)-3-phenylactic acid, trans-3-hydroxy-cinnamate, and dihydro-3-coumaric acid] and indole-3 acetic acid (IAA) in the tryptophan metabolic pathway positively correlated with DKD progression, whereas L-tryptophan in the tryptophan metabolic pathway had a negative correlation. Intestinal flora g_Abiotrophia and g_norank_f_Peptococcaceae were positively correlated with the increase in renal function indicators and serum metabolite HA. G_Lachnospiraceae_NC2004_Group was negatively correlated with the increase in renal function indicators and serum metabolites [L-(−)-3-phenyllactic acid and IAA]. Conclusions: This study highlights the interaction among gut microbiota, serum metabolites, and clinical indicators in predialysis DKD patients, and provides new insights into the role of gut microbiota and microbiota-related serum metabolites that were enriched in the phenylalanine and tryptophan metabolic pathways, which correlated with the progression of DKD.
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Affiliation(s)
- Qing Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yanmei Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lu Zeng
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guowei Chen
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - La Zhang
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Meifang Liu
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hongqin Sheng
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoxuan Hu
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingxu Su
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Duo Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Fuhua Lu
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xusheng Liu
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lei Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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20
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Orsso CE, Peng Y, Deehan EC, Tan Q, Field CJ, Madsen KL, Walter J, Prado CM, Tun HM, Haqq AM. Composition and Functions of the Gut Microbiome in Pediatric Obesity: Relationships with Markers of Insulin Resistance. Microorganisms 2021; 9:1490. [PMID: 34361925 PMCID: PMC8304481 DOI: 10.3390/microorganisms9071490] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 07/06/2021] [Accepted: 07/08/2021] [Indexed: 12/16/2022] Open
Abstract
The gut microbiome is hypothesized to play a crucial role in the development of obesity and insulin resistance (IR); the pathways linking the microbiome to IR in pediatrics have yet to be precisely characterized. We aimed to determine the relationship between the gut microbiome composition and metabolic functions and IR in children with obesity. In a cross-sectional study, fecal samples from children with obesity (10-16 years old) were collected for taxonomical and functional analysis of the fecal microbiome using shotgun metagenomics. The homeostatic model assessment for insulin resistance (HOMA-IR) was determined using fasting glucose and insulin. Associations between HOMA-IR and α-diversity measures as well as metabolic pathways were evaluated using Spearman correlations; relationships between HOMA-IR and β-diversity were assessed by permutational multivariate analysis of variance. Twenty-one children (nine males; median: age = 12.0 years; BMI z-score = 2.9; HOMA-IR = 3.6) completed the study. HOMA-IR was significantly associated with measures of α-diversity but not with β-diversity. Children with higher HOMA-IR exhibited lower overall species richness, Firmicutes species richness, and overall Proteobacteria species Shannon diversity. Furthermore, HOMA-IR was inversely correlated with the abundance of pathways related to the biosynthesis of lipopolysaccharides, amino acids, and short-chain fatty acids, whereas positive correlations between HOMA-IR and the peptidoglycan biosynthesis pathways were observed. In conclusion, insulin resistance was associated with decreased microbial α-diversity measures and abundance of genes related to the metabolic pathways. Our study provides a framework for understanding the microbial alterations in pediatric obesity.
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Affiliation(s)
- Camila E. Orsso
- Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, 4-002 Li Ka Shing Centre for Health Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada; (C.E.O.); (C.M.P.)
| | - Ye Peng
- HKU-Pasteur Research Pole, School of Public Health, University of Hong Kong, Hong Kong 999077, China;
| | - Edward C. Deehan
- Department of Medicine, University of Alberta, Edmonton, AB T6G 2C2, Canada; (E.C.D.); (K.L.M.)
- Department of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada;
| | - Qiming Tan
- Department of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada;
| | - Catherine J. Field
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2E1, Canada;
| | - Karen L. Madsen
- Department of Medicine, University of Alberta, Edmonton, AB T6G 2C2, Canada; (E.C.D.); (K.L.M.)
| | - Jens Walter
- APC Microbiome Ireland, School of Microbiology, and Department of Medicine, University College Cork—National University of Ireland, T12 YT20 Cork, Ireland;
| | - Carla M. Prado
- Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, 4-002 Li Ka Shing Centre for Health Innovation, University of Alberta, Edmonton, AB T6G 2E1, Canada; (C.E.O.); (C.M.P.)
| | - Hein M. Tun
- HKU-Pasteur Research Pole, School of Public Health, University of Hong Kong, Hong Kong 999077, China;
| | - Andrea M. Haqq
- Department of Pediatrics, University of Alberta, Edmonton, AB T6G 2R3, Canada;
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2E1, Canada;
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21
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Uchida A, Yasuma T, Takeshita A, Toda M, Okano Y, Nishihama K, D'Alessandro-Gabazza CN, Fridman D'Alessandro V, Inoue C, Takagi T, Mukaiyama H, Takagi N, Shimizu K, Yano Y, Gabazza EC. Oral Limonite Supplement Ameliorates Glucose Intolerance in Diabetic and Obese Mice. J Inflamm Res 2021; 14:3089-3105. [PMID: 34276223 PMCID: PMC8277451 DOI: 10.2147/jir.s320451] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 06/18/2021] [Indexed: 12/20/2022] Open
Abstract
Introduction Diabetes mellitus is a serious threat to public health worldwide. It causes a substantial economic burden, mental and physical disabilities, poor quality of life, and high mortality. Limonite is formed when iron-rich materials from the underground emerge and oxidized on the ground surface. It is currently used to purify contaminated water, absorption of irritant gases, and improve livestock breeding. Limonite can change the composition of environmental microbial communities. In the present study, we evaluated whether limonite can ameliorate glucose metabolism abnormalities by remodeling the gut microbiome. Methods The investigation was performed using mouse models of streptozotocin-induced diabetes mellitus and high-calorie diet-induced metabolic syndrome. Results Oral limonite supplement was associated with significant body weight recovery, reduced glycemia with improved insulin secretion, increased number of regulatory T cells, and abundant beneficial gut microbial populations in mice with diabetes mellitus compared to control. Similarly, mice with obesity fed with limonite supplements had significantly reduced body weight, insulin resistance, steatohepatitis, and systemic inflammatory response with significant gut microbiome remodeling. Conclusion This study demonstrates that limonite supplement ameliorates abnormal glucose metabolism in diabetes mellitus and obesity. Gut microbiome remodeling, inhibition of inflammatory cytokines, and the host immune response regulation may explain the limonite’s beneficial activity under pathological conditions in vivo.
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Affiliation(s)
- Akihiro Uchida
- Department of Diabetes and Endocrinology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | - Taro Yasuma
- Department of Diabetes and Endocrinology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan.,Department of Immunology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | - Atsuro Takeshita
- Department of Diabetes and Endocrinology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan.,Department of Immunology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | - Masaaki Toda
- Department of Immunology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | - Yuko Okano
- Department of Diabetes and Endocrinology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan.,Department of Immunology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | - Kota Nishihama
- Department of Diabetes and Endocrinology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | | | | | - Chisa Inoue
- Department of Diabetes and Endocrinology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | | | | | | | | | - Yutaka Yano
- Department of Diabetes and Endocrinology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
| | - Esteban C Gabazza
- Department of Immunology, Mie University Faculty and Graduate School of Medicine, Tsu, Mie, Japan
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22
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Cai Y, Xu Y, Ban Y, Li J, Sun Z, Zhang M, Wang B, Hou X, Hao Y, Ouyang Q, Wu B, Wang M, Wang W. Plasma Lipid Profile and Intestinal Microflora in Pregnancy Women With Hypothyroidism and Their Correlation With Pregnancy Outcomes. Front Endocrinol (Lausanne) 2021; 12:792536. [PMID: 35126311 PMCID: PMC8807684 DOI: 10.3389/fendo.2021.792536] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 12/23/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To investigate the lipid profiles and intestinal microflora in pregnant patients with hypothyroidism and their correlation with pregnancy outcomes. METHODS In total, 27 pregnant women with hypothyroidism (study case) and 28 normal pregnant women (control group) were enrolled in this study. The lipid profiles and intestinal microflora in the two groups were compared using untargeted liquid chromatography-mass spectrometry (LC-MS) and 16S rRNA amplicon sequencing, respectively. The association among the differential metabolites, intestinal microflora, serological indicators and pregnancy outcomes was further analyzed. RESULTS Patients in study case had higher C-reactive protein (CRP) levels (P = 0.025) and lower birth weight (P=0.005) than the control group. A total of 42 differential lipid metabolites and 7 enrichment KEGG pathways were obtained between the two groups (VIP ≥ 1, P < 0.05). Ten lipid metabolites can be used as characteristic metabolites of study case, including phosphatidylcholine (PC), phosphatidylethanolamine (PE) and sphingomyelin (SM). The richness and diversity of intestinal microflora in study case were lower than those in the control group (P>0.05). LEfSe analysis revealed that patients in study case had higher abundance of Prevotella and Haemophilus and lower abundance of Blautia than the control group (P < 0.05). Blautia was positively correlated with SM and negatively correlated with PC and PE; the CRP level and Prevotella were positively correlated; the neonatal weight and PC level were negatively correlated (P < 0.05). CONCLUSION The lipid profile and intestinal microflora of pregnant women with hypothyroidism significantly differed from those of normal pregnant women and were associated with adverse pregnancy outcomes. The interaction between lipid metabolism and intestinal microflora may be a potential target for further studies investigating the pathogenesis of hypothyroidism during pregnancy.
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