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Zhang J, Qi H, Li M, Wang Z, Jia X, Sun T, Du S, Su C, Zhi M, Du W, Ouyang Y, Wang P, Huang F, Jiang H, Li L, Bai J, Wei Y, Zhang X, Wang H, Zhang B, Feng Q. Diet Mediate the Impact of Host Habitat on Gut Microbiome and Influence Clinical Indexes by Modulating Gut Microbes and Serum Metabolites. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2310068. [PMID: 38477427 PMCID: PMC11109649 DOI: 10.1002/advs.202310068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/04/2024] [Indexed: 03/14/2024]
Abstract
The impact of external factors on the human gut microbiota and how gut microbes contribute to human health is an intriguing question. Here, the gut microbiome of 3,224 individuals (496 with serum metabolome) with 109 variables is studied. Multiple analyses reveal that geographic factors explain the greatest variance of the gut microbiome and the similarity of individuals' gut microbiome is negatively correlated with their geographic distance. Main food components are the most important factors that mediate the impact of host habitats on the gut microbiome. Diet and gut microbes collaboratively contribute to the variation of serum metabolites, and correlate to the increase or decrease of certain clinical indexes. Specifically, systolic blood pressure is lowered by vegetable oil through increasing the abundance of Blautia and reducing the serum level of 1-palmitoyl-2-palmitoleoyl-GPC (16:0/16:1), but it is reduced by fruit intake through increasing the serum level of Blautia improved threonate. Besides, aging-related clinical indexes are also closely correlated with the variation of gut microbes and serum metabolites. In this study, the linkages of geographic locations, diet, the gut microbiome, serum metabolites, and physiological indexes in a Chinese population are characterized. It is proved again that gut microbes and their metabolites are important media for external factors to affect human health.
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Affiliation(s)
- Jiguo Zhang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Houbao Qi
- Department of Human MicrobiomeSchool and Hospital of StomatologyCheeloo College of MedicineSD University & SD Key Laboratory of Oral Tissue Regeneration & SD Engineering Laboratory for Dental Materials and Oral Tissue RegenerationJinan250012China
| | - Meihui Li
- Department of Human MicrobiomeSchool and Hospital of StomatologyCheeloo College of MedicineSD University & SD Key Laboratory of Oral Tissue Regeneration & SD Engineering Laboratory for Dental Materials and Oral Tissue RegenerationJinan250012China
| | - Zhihong Wang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Xiaofang Jia
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Tianyong Sun
- Department of Human MicrobiomeSchool and Hospital of StomatologyCheeloo College of MedicineSD University & SD Key Laboratory of Oral Tissue Regeneration & SD Engineering Laboratory for Dental Materials and Oral Tissue RegenerationJinan250012China
| | - Shufa Du
- Department of NutritionGillings School of Global Public HealthUniversity of North Carolina at Chapel HillChapel HillNC27599USA
| | - Chang Su
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Mengfan Zhi
- Department of Human MicrobiomeSchool and Hospital of StomatologyCheeloo College of MedicineSD University & SD Key Laboratory of Oral Tissue Regeneration & SD Engineering Laboratory for Dental Materials and Oral Tissue RegenerationJinan250012China
| | - Wenwen Du
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Yifei Ouyang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Pingping Wang
- Department of Human MicrobiomeSchool and Hospital of StomatologyCheeloo College of MedicineSD University & SD Key Laboratory of Oral Tissue Regeneration & SD Engineering Laboratory for Dental Materials and Oral Tissue RegenerationJinan250012China
| | - Feifei Huang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Hongru Jiang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Li Li
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Jing Bai
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Yanli Wei
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Xiaofan Zhang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Huijun Wang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Bing Zhang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijing100050China
- Key Laboratory of Trace Element NutritionNational Health CommissionBeijing100050China
| | - Qiang Feng
- Department of Human MicrobiomeSchool and Hospital of StomatologyCheeloo College of MedicineSD University & SD Key Laboratory of Oral Tissue Regeneration & SD Engineering Laboratory for Dental Materials and Oral Tissue RegenerationJinan250012China
- State key laboratory of microbial technologySD UniversityQingdao266237China
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Kase BE, Liese AD, Zhang J, Murphy EA, Zhao L, Steck SE. The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota. Nutrients 2024; 16:1045. [PMID: 38613077 PMCID: PMC11013161 DOI: 10.3390/nu16071045] [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: 01/31/2024] [Revised: 03/26/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024] Open
Abstract
The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010, n = 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies.
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Affiliation(s)
- Bezawit E. Kase
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Discovery 1, 915 Greene Street, Columbia, SC 29208, USA; (B.E.K.)
| | - Angela D. Liese
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Discovery 1, 915 Greene Street, Columbia, SC 29208, USA; (B.E.K.)
| | - Jiajia Zhang
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Discovery 1, 915 Greene Street, Columbia, SC 29208, USA; (B.E.K.)
| | - Elizabeth Angela Murphy
- Department of Pathology, Microbiology and Immunology, School of Medicine Columbia, University of South Carolina, Columbia, SC 29208, USA
| | - Longgang Zhao
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Discovery 1, 915 Greene Street, Columbia, SC 29208, USA; (B.E.K.)
| | - Susan E. Steck
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Discovery 1, 915 Greene Street, Columbia, SC 29208, USA; (B.E.K.)
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Duncanson K, Williams G, Hoedt EC, Collins CE, Keely S, Talley NJ. Diet-microbiota associations in gastrointestinal research: a systematic review. Gut Microbes 2024; 16:2350785. [PMID: 38725230 PMCID: PMC11093048 DOI: 10.1080/19490976.2024.2350785] [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: 12/04/2023] [Accepted: 04/29/2024] [Indexed: 05/16/2024] Open
Abstract
Interactions between diet and gastrointestinal microbiota influence health status and outcomes. Evaluating these relationships requires accurate quantification of dietary variables relevant to microbial metabolism, however current dietary assessment methods focus on dietary components relevant to human digestion only. The aim of this study was to synthesize research on foods and nutrients that influence human gut microbiota and thereby identify knowledge gaps to inform dietary assessment advancements toward better understanding of diet-microbiota interactions. Thirty-eight systematic reviews and 106 primary studies reported on human diet-microbiota associations. Dietary factors altering colonic microbiota included dietary patterns, macronutrients, micronutrients, bioactive compounds, and food additives. Reported diet-microbiota associations were dominated by routinely analyzed nutrients, which are absorbed from the small intestine but analyzed for correlation to stool microbiota. Dietary derived microbiota-relevant nutrients are more challenging to quantify and underrepresented in included studies. This evidence synthesis highlights advancements needed, including opportunities for expansion of food composition databases to include microbiota-relevant data, particularly for human intervention studies. These advances in dietary assessment methodology will facilitate translation of microbiota-specific nutrition therapy to practice.
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Affiliation(s)
- Kerith Duncanson
- NHMRC Centre of Research Excellence in Digestive Health, University of Newcastle, Newcastle, NSW, Australia
- Immune Health Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Medicine & Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
| | - Georgina Williams
- NHMRC Centre of Research Excellence in Digestive Health, University of Newcastle, Newcastle, NSW, Australia
- Immune Health Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Medicine & Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
| | - Emily C. Hoedt
- NHMRC Centre of Research Excellence in Digestive Health, University of Newcastle, Newcastle, NSW, Australia
- Immune Health Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Biomedical Sciences & Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
| | - Clare E. Collins
- Immune Health Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Medicine & Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
| | - Simon Keely
- NHMRC Centre of Research Excellence in Digestive Health, University of Newcastle, Newcastle, NSW, Australia
- Immune Health Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Biomedical Sciences & Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
| | - Nicholas J. Talley
- NHMRC Centre of Research Excellence in Digestive Health, University of Newcastle, Newcastle, NSW, Australia
- Immune Health Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Medicine & Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Newcastle, NSW, Australia
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Magro DO, Rossoni C, Saad-Hossne R, Santos A. INTERACTION BETWEEN FOOD PYRAMID AND GUT MICROBIOTA. A NEW NUTRITIONAL APPROACH. ARQUIVOS DE GASTROENTEROLOGIA 2023; 60:132-136. [PMID: 37194771 DOI: 10.1590/s0004-2803.202301000-15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 12/08/2022] [Indexed: 05/18/2023]
Abstract
The food pyramid is a pre-established nutritional education tool. The integration between the intestinal microbiome, food groups, and SCFA-producing bacteria, which benefit from the ingestion of these foods, has the potential to further improve and innovate healthy eating. The diet-microbiome interaction needs to be incorporated into nutrition science, and the food pyramid might assist in this interaction and nutritional learning. Against this context, this brief communication proposes through the food pyramid, the interactions between the intestinal microbiota, food groups, and SCFAs-producing bacteria.
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Affiliation(s)
- Daniela O Magro
- Universidade Estadual de Campinas, Faculdade de Ciências Médicas, Campinas, SP, Brasil
| | - Carina Rossoni
- Instituto of Environmental Health, Faculty of Medicine (ISAMB), Universidade de Lisboa, Lisbon, Portugal
| | - Rogerio Saad-Hossne
- Universidade Estadual Paulista, Faculdade de Medicina, Departamento de Cirurgia, Botucatu, SP, Brasil
| | - Andrey Santos
- Universidade Estadual de Campinas, Faculdade de Ciências Médicas, Campinas, SP, Brasil
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Kabisch S, Weickert MO, Pfeiffer AFH. The role of cereal soluble fiber in the beneficial modulation of glycometabolic gastrointestinal hormones. Crit Rev Food Sci Nutr 2022; 64:4331-4347. [PMID: 36382636 DOI: 10.1080/10408398.2022.2141190] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
According to cohort studies, cereal fiber, and whole-grain products might decrease risk for type 2 diabetes (T2DM), inflammatory processes, cancer, and cardiovascular diseases. These associations, mainly affect insoluble, but not soluble cereal fiber. In intervention studies, soluble fiber elicit anti-hyperglycemic and anti-inflammatory short-term effects, partially explained by fermentation to short-chain fatty acids, which acutely counteract insulin resistance and inflammation. ß-glucans lower cholesterol levels and possibly reduce liver fat. Long-term benefits are not yet shown, maybe caused by T2DM heterogeneity, as insulin resistance and fatty liver disease - the glycometabolic points of action of soluble cereal fiber - are not present in every patient. Thus, only some patients might be susceptive to fiber. Also, incretin action in response to fiber could be a relevant factor for variable effects. Thus, this review aims to summarize the current knowledge from human studies on the impact of soluble cereal fiber on glycometabolic gastrointestinal hormones. Effects on GLP-1 appear to be highly contradictory, while these fibers might lower GIP and ghrelin, and increase PYY and CCK. Even though previous results of specific trials support a glycometabolic benefit of soluble fiber, larger acute, and long-term mechanistic studies are needed in order to corroborate the results.
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Affiliation(s)
- Stefan Kabisch
- Department of Endocrinology and Metabolism, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany
- Deutsches Zentrum für Diabetesforschung e.V, Geschäftsstelle am Helmholtz-Zentrum München, Neuherberg, Germany
| | - Martin O Weickert
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism; The ARDEN NET Centre, ENETS CoE, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK
- Centre of Applied Biological & Exercise Sciences (ABES), Faculty of Health & Life Sciences, Coventry University, Coventry, UK
- Translational & Experimental Medicine, Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Andreas F H Pfeiffer
- Department of Endocrinology and Metabolism, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany
- Deutsches Zentrum für Diabetesforschung e.V, Geschäftsstelle am Helmholtz-Zentrum München, Neuherberg, Germany
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Fan HX, Sheng S, Zhang F. New hope for Parkinson's disease treatment: Targeting gut microbiota. CNS Neurosci Ther 2022; 28:1675-1688. [PMID: 35822696 PMCID: PMC9532916 DOI: 10.1111/cns.13916] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 06/21/2022] [Accepted: 06/25/2022] [Indexed: 12/14/2022] Open
Abstract
There might be more than 10 million confirmed cases of Parkinson's disease (PD) worldwide by 2040. However, the pathogenesis of PD is still unclear. Host health is closely related to gut microbiota, which are affected by factors such as age, diet, and exercise. Recent studies have found that gut microbiota may play key roles in the progression of a wide range of diseases, including PD. Changes in the abundance of gut bacteria, such as Helicobacter pylori, Enterococcus faecalis, and Desulfovibrio, might be involved in PD pathogenesis or interfere with PD therapy. Gut microbiota and the distal brain achieve action on each other through a gut‐brain axis composed of the nervous system, endocrine system, and immune system. Here, this review focused on the current understanding of the connection between Parkinson's disease and gut microbiota, to provide potential therapeutic targets for PD.
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Affiliation(s)
- Hong-Xia Fan
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education and Key Laboratory of Basic Pharmacology of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Shuo Sheng
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education and Key Laboratory of Basic Pharmacology of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Feng Zhang
- Laboratory Animal Center and Key Laboratory of Basic Pharmacology of Ministry of Education and Joint International Research Laboratory of Ethnomedicine of Ministry of Education and Key Laboratory of Basic Pharmacology of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
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Access to Healthy Wheat and Maize Processed Foods in Mexico City: Comparisons across Socioeconomic Areas and Store Types. Nutrients 2022; 14:nu14061173. [PMID: 35334830 PMCID: PMC8955009 DOI: 10.3390/nu14061173] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/19/2022] [Accepted: 02/24/2022] [Indexed: 11/17/2022] Open
Abstract
The contributions of processed foods to the overweight and obesity problem in Latin America are well known. Engagement with the private and public sectors on possible solutions requires deeper insights into where and how these products are sold and the related implications for diet quality. This article characterizes the diversity of wheat and maize processed foods (WMPFs) available to consumers in Mexico City. Data were gathered across nine product categories at different points of sale (supermarkets, small grocery stores, convenience stores) in high and low socioeconomic (SE) areas. We assessed WMPFs based on Nutri-Score profile, price, and health and nutrition claims. Roughly 17.4% of the WMPFs were considered healthy, of which 62.2% were pastas and breads. Availability of healthy WMPFs was scarce in most stores, particularly in convenience stores Compared to supermarkets in the low SE area, those in the high SE area exhibited greater variety in access to healthy WMPFs across all product categories. In the low SE area, healthy WMPFs were priced 16–69% lower than unhealthy WMPFs across product categories. The extensive variety of unhealthy WMPFs, the limited stock of healthy WMPFs in most retail outlets, and the confusing health and nutrition claims on packaging make it difficult for urban consumers to find and choose healthy WMPFs.
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Nutritional Quality of the Most Consumed Varieties of Raw and Cooked Rice in Spain Submitted to an In Vitro Digestion Model. Foods 2021; 10:foods10112584. [PMID: 34828863 PMCID: PMC8618410 DOI: 10.3390/foods10112584] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 10/20/2021] [Accepted: 10/21/2021] [Indexed: 12/25/2022] Open
Abstract
Rice is one of the most consumed staple foods around the world and its trade is highly globalized. Increased environmental pollution generates a large amount of waste that, in many cases, is discarded close to culture fields. Some species are able to bioaccumulate toxic substances, such as metals, that could be transferred to the food chain. The main goal of this study was to evaluate the content of metallic (Al, Cd, Pb, and Cr) and metalloid elements (As) in 14 of the most consumed varieties of rice in Spain and their effects on human health. The samples were cooked, and human digestion was simulated by using a standard in vitro digestion method. Metallic and metalloid element levels were analysed by Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), previous called microwave digestion. Both the human health risk index, Hazard Quotient, and Lifetime Cancer Risk did not show toxic values in any case. Rice with a higher non-digestible fraction showed a higher liberation of proteins and a lower glycemic index. There were no significant differences in the concentrations of metallic and metalloid elements in cooked rice or in the digestible fraction in all varieties analysed. However, Al concentrations were higher than other metals in all varieties studied due to its global distribution. No relationship has been observed between the digestibility of rice and the bioaccessibility of each metallic and metalloid element. All of the studied rice varieties are healthy food products and its daily consumption is safe. The regular monitoring of metals and As in rice consumed in Spain may contribute to improvements in the human health risk evaluation.
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Al-Awadi A, Grove J, Taylor M, Valdes A, Vijay A, Bawden S, Gowland P, Aithal G. Effects of an isoenergetic low Glycaemic Index (GI) diet on liver fat accumulation and gut microbiota composition in patients with non-alcoholic fatty liver disease (NAFLD): a study protocol of an efficacy mechanism evaluation. BMJ Open 2021; 11:e045802. [PMID: 34620653 PMCID: PMC8499287 DOI: 10.1136/bmjopen-2020-045802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION A Low Glycaemic Index (LGI) diet is a proposed lifestyle intervention in non-alcoholic fatty liver diseases (NAFLD) which is designed to reduce circulating blood glucose levels, hepatic glucose influx, insulin resistance and de novo lipogenesis. A significant reduction in liver fat content through following a 1-week LGI diet has been reported in healthy volunteers. Changes in dietary fat and carbohydrates have also been shown to alter gut microbiota composition and lead to hepatic steatosis through the gut-liver axis. There are no available trials examining the effects of an LGI diet on liver fat accumulation in patients with NAFLD; nor has the impact of consuming an LGI diet on gut microbiota composition been studied in this population. The aim of this trial is to investigate the effects of LGI diet consumption on liver fat content and its effects on gut microbiota composition in participants with NAFLD compared with a High Glycaemic Index (HGI) control diet. METHODS AND ANALYSIS A 2×2 cross-over randomised mechanistic dietary trial will allocate 16 participants with NAFLD to a 2-week either HGI or LGI diet followed by a 4-week wash-out period and then the LGI or HGI diet, alternative to that followed in the first 2 weeks. Baseline and postintervention (four visits) outcome measures will be collected to assess liver fat content (using MRI/S and controlled attenuation parameter-FibroScan), gut microbiota composition (using 16S RNA analysis) and blood biomarkers including glycaemic, insulinaemic, liver, lipid and haematological profiles, gut hormones levels and short-chain fatty acids. ETHICS AND DISSEMINATION Study protocol has been approved by the ethics committees of The University of Nottingham and East Midlands Nottingham-2 Research Ethics Committee (REC reference 19/EM/0291). Data from this trial will be used as part of a Philosophy Doctorate thesis. Publications will be in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT04415632.
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Affiliation(s)
- Amina Al-Awadi
- Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, Nottingham, UK
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
- Al-Sabah Hospital, Ministry of Health, Civil Service Commission, Kuwait City, Kuwait
| | - Jane Grove
- Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, Nottingham, UK
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
| | - Moira Taylor
- School of Life Sciences, University of Nottingham, Nottingham, UK
| | - Ana Valdes
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
- School of Medicine, University of Nottingham, Nottingham, UK
| | - Amrita Vijay
- School of Medicine, University of Nottingham, Nottingham, UK
| | - Stephen Bawden
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Penny Gowland
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
- Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Guruprasad Aithal
- Nottingham Digestive Diseases Centre, School of Medicine, University of Nottingham, Nottingham, UK
- National Institute of Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
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Lu J, Zhang L, Zhai Q, Zhao J, Zhang H, Lee YK, Lu W, Li M, Chen W. Chinese gut microbiota and its associations with staple food type, ethnicity, and urbanization. NPJ Biofilms Microbiomes 2021; 7:71. [PMID: 34489454 PMCID: PMC8421333 DOI: 10.1038/s41522-021-00245-0] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 08/11/2021] [Indexed: 02/06/2023] Open
Abstract
The gut microbiota could affect human health and disease. Although disease-associated microbiota alteration has been extensively investigated in the Chinese population, a nationwide Chinese gut microbiota baseline is still lacking. Here we performed 16 S rRNA gene sequencing on fecal samples from 2678 healthy Chinese individuals, who belonged to eight ethnic groups and resided in 63 counties/cities of 28 provinces. We identified four enterotypes, three of which were enriched for Prevotella, Bacteroides, and Escherichia, respectively, whereas the fourth one had no dominant genus. By assessing the association between the gut microbiota and 20 variables belonging to six categories, geography, demography, diet, urbanization, lifestyle, and sampling month, we revealed that geography explained the largest microbiota variation, and clarified the distinct patterns in the associations with staple food type, ethnicity, and urban/rural residence. Specifically, the gut microbiota of Han Chinese and ethnic minority groups from the same sites was more alike than that of the same ethnic minority groups from different sites. Individuals consuming wheat as staple food were predicted to have more microbial genes involving in glucan 1,3-beta-glucosidase and S-adenosyl-L-methionine biosynthesis than those who consumed rice, based on functional prediction. Besides, an appreciable effect of urbanization on decreased intra-individual diversity, increased inter-individual diversity, and increased proportion of the Bacteroides enterotype was observed. Collectively, our study provided a nationwide gut microbiota baseline of the Chinese population and knowledge on important covariates, which are fundamental to translational microbiota research.
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Affiliation(s)
- Jing Lu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Li Zhang
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China
| | - Qixiao Zhai
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
| | - Jianxin Zhao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
| | - Hao Zhang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Food Science and Technology, Jiangnan University, Wuxi, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China
| | - Yuan-Kun Lee
- International Joint Research Laboratory for Pharmabiotics & Antibiotic Resistance, Jiangnan University, Wuxi, China
- Department of Microbiology & Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wenwei Lu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, China.
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China.
- International Joint Research Laboratory for Pharmabiotics & Antibiotic Resistance, Jiangnan University, Wuxi, China.
| | - Mingkun Li
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China.
- University of Chinese Academy of Sciences, Beijing, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
| | - Wei Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, China.
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, China.
- International Joint Research Laboratory for Pharmabiotics & Antibiotic Resistance, Jiangnan University, Wuxi, China.
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Barnett MPG, Young W, Armstrong K, Brewster D, Cooney JM, Ellett S, Espley RV, Laing W, Maclean P, McGhie T, Pringle G, Roy NC, Ferguson LR. A Polyphenol Enriched Variety of Apple Alters Circulating Immune Cell Gene Expression and Faecal Microbiota Composition in Healthy Adults: A Randomized Controlled Trial. Nutrients 2021; 13:nu13041092. [PMID: 33801641 PMCID: PMC8065949 DOI: 10.3390/nu13041092] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 12/13/2022] Open
Abstract
Polyphenols within fruits and vegetables may contribute to health benefits due to their consumption, with the anthocyanin sub-set also adding colour. The Lemonade™ apple variety has green skin and white flesh, with low anthocyanin content, while some apple varieties have high anthocyanin content in both the skin and flesh. Effects of red compared with white-fleshed apples were studied in healthy human subjects in a randomized, placebo-controlled, cross-over intervention trial. Twenty-five healthy subjects consumed dried daily portions of the red-fleshed or placebo (white-fleshed) apple for two weeks, followed by one-week washout and further two-week crossover period. During the study, volunteers provided faecal samples for microbiota composition analysis and blood samples for peripheral blood mononuclear cell (PBMC) gene expression analysis. Subtle differences were observed in the faecal microbiota of subjects that were fed the different apples, with significant (p < 0.05) reductions in relative abundances of Streptococcus, Ruminococcus, Blautia, and Roseburia, and increased relative abundances of Sutterella, Butyricicoccus, and Lactobacillus in subjects after consuming the red apple. Changes in PBMC gene expression showed 18 mRNA transcripts were differentially expressed between the two groups, of which 16 were immunoglobulin related genes. Pathway analysis showed that these genes had roles in pathways such as immunoglobulin production, B cell-mediated immunity, complement activation, and phagocytosis. In conclusion, this study shows that anthocyanin-rich apples may influence immune function compared to control apples, with changes potentially associated with differences in the faecal microbiota.
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Affiliation(s)
- Matthew P. G. Barnett
- AgResearch Limited, Grasslands Research Centre, Palmerston North 4442, New Zealand; (W.Y.); (K.A.); (P.M.); (N.C.R.)
- Riddet Institute, Palmerston North 4442, New Zealand
- Correspondence: (M.P.G.B.);
(L.R.F.); Tel.: +64-9-923-1138 (L.R.F.)
| | - Wayne Young
- AgResearch Limited, Grasslands Research Centre, Palmerston North 4442, New Zealand; (W.Y.); (K.A.); (P.M.); (N.C.R.)
- Riddet Institute, Palmerston North 4442, New Zealand
- The High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
| | - Kelly Armstrong
- AgResearch Limited, Grasslands Research Centre, Palmerston North 4442, New Zealand; (W.Y.); (K.A.); (P.M.); (N.C.R.)
| | - Diane Brewster
- The New Zealand Institute for Plant and Food Research, Auckland 1025, New Zealand; (D.B.); (R.V.E.); (G.P.)
| | - Janine M. Cooney
- The New Zealand Institute for Plant and Food Research, Hamilton 3214, New Zealand;
| | - Stephanie Ellett
- Discipline of Nutrition and Dietetics, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
| | - Richard V. Espley
- The New Zealand Institute for Plant and Food Research, Auckland 1025, New Zealand; (D.B.); (R.V.E.); (G.P.)
| | - William Laing
- The New Zealand Institute for Plant and Food Research, Palmerston North 4410, New Zealand; (W.L.); (T.M.)
| | - Paul Maclean
- AgResearch Limited, Grasslands Research Centre, Palmerston North 4442, New Zealand; (W.Y.); (K.A.); (P.M.); (N.C.R.)
| | - Tony McGhie
- The New Zealand Institute for Plant and Food Research, Palmerston North 4410, New Zealand; (W.L.); (T.M.)
| | - Greg Pringle
- The New Zealand Institute for Plant and Food Research, Auckland 1025, New Zealand; (D.B.); (R.V.E.); (G.P.)
| | - Nicole C. Roy
- AgResearch Limited, Grasslands Research Centre, Palmerston North 4442, New Zealand; (W.Y.); (K.A.); (P.M.); (N.C.R.)
- Riddet Institute, Palmerston North 4442, New Zealand
- The High-Value Nutrition National Science Challenge, Auckland 1023, New Zealand
- Liggins Institute, The University of Auckland, Auckland 1023, New Zealand
- Department of Human Nutrition, University of Otago, Dunedin 9016, New Zealand
| | - Lynnette R. Ferguson
- Discipline of Nutrition and Dietetics, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
- Correspondence: (M.P.G.B.);
(L.R.F.); Tel.: +64-9-923-1138 (L.R.F.)
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12
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Mei L, Zhou J, Su Y, Mao K, Wu J, Zhu C, He L, Cui Y. Gut microbiota composition and functional prediction in diarrhea-predominant irritable bowel syndrome. BMC Gastroenterol 2021; 21:105. [PMID: 33663411 PMCID: PMC7934555 DOI: 10.1186/s12876-021-01693-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 02/26/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Irritable bowel syndrome (IBS) is common and difficult to treat and its pathogenesis is closely related to gut microbiota. However, differences in gut microbiota of patients in different regions make it more difficult to elucidate the mechanism of IBS. We performed an analysis of gut microbiota composition and functional prediction in Chinese patients with diarrhea-predominant IBS (IBS-D). METHODS Fecal samples were obtained from 30 IBS-D patients and 30 healthy controls (HCs) in Nanchang, China. Using 16S gene sequence profiles, we analyzed the abundance of dominant microbiota at different taxonomy levels. Based on 16S information, Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was used to predicting the function of gut microbiota. RESULTS Compared to HCs, gut microbiota richness but not diversity was decreased in IBS-D patients. The abundant phyla Firmicutes, Fusobacteria and Actinobacteria decreased significantly, and Proteobacteria increased significantly in IBS-D patients. PICRUSt indicated that function expression of gut microbiota in IBS-D patients was up-regulated in metabolism of cofactors and vitamins, xenobiotics biodegradation and metabolism, and down-regulated in environmental adaptation, cell growth and death. CONCLUSIONS Compared with the normal population in China, IBS-D patients are characterized by complex and unstable gut microbiota, which may influence inflammation and metabolism of the host.
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Affiliation(s)
- Lijun Mei
- Jiangxi University of Traditional Chinese Medicine Affiliated Hospital, Nanchang, 330006, China
| | - Jiaoli Zhou
- Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China
| | - Yimo Su
- Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China
| | - Kunhong Mao
- Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China
| | - Jing Wu
- Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China
| | - Caicai Zhu
- Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China
| | - Ling He
- Jiangxi University of Traditional Chinese Medicine Affiliated Hospital, Nanchang, 330006, China. .,Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, China.
| | - Ying Cui
- Jiangxi Maternal and Child Health Hospital, Nanchang, 330006, China
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13
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Gupta MK, Gouda G, Donde R, Vadde R, Behera L. In silico characterization of the impact of mutation (LEU112PRO) on the structure and function of carotenoid cleavage dioxygenase 8 in Oryza sativa. PHYTOCHEMISTRY 2020; 175:112365. [PMID: 32247721 DOI: 10.1016/j.phytochem.2020.112365] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/22/2020] [Accepted: 03/23/2020] [Indexed: 06/11/2023]
Abstract
Mutation (p.LEU112PRO) in "carotenoid cleavage dioxygenase 8" (CCD8) protein increases tiller formation in rice plants by cross-talking with auxin and cytokinins. However, owing to the nonexistence of a "three-dimension" structure of CCD8, detail information about its structure and function remain elusive until date. Hence, in the present study, computational approaches were adopted to predict "three-dimensional" (3D) structure of CCD8 protein through comparative modeling techniques and to study the effect of mutation (p.LEU112PRO) on its function as well as architecture through "molecular dynamics" simulation studies. The obtained result reveals that wild-type CCD8 protein is made up of 10 α-helix and 25 β-strands while mutant CCD8 is made up of 11 α-helix and 24 β-strands. Further, molecular docking studies reveals that the wild-type has a better binding affinity with auxin and cytokinin in comparison to mutant. Subsequent molecular dynamics simulation of these four complexes, separately, reveals that the movement of both wild-type as well as mutant CCD8 get reduced after binding with auxin, which in turn prevent auxin transport out of the bud and increases tiller number. However, when cytokinin binds with wild-type and mutant CCD8, it inhibits and enhance CCD8 activity, respectively. As cytokinin positively regulates tiller number formation, enhance activity of mutant CCD8 after binding with cytokinin might be the main reason for more tiller number in mutant than wild-type plant. In the near future, mutant CCD8 along with auxin and cytokinin may be utilized for increasing grain yield in rice plants.
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Affiliation(s)
- Manoj Kumar Gupta
- Department of Biotechnology & Bioinformatics, Yogi Vemana University, Kadapa, 516005, Andhra Pradesh, India
| | - Gayatri Gouda
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753 006, India
| | - Ravindra Donde
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753 006, India
| | - Ramakrishna Vadde
- Department of Biotechnology & Bioinformatics, Yogi Vemana University, Kadapa, 516005, Andhra Pradesh, India
| | - Lambodar Behera
- ICAR-National Rice Research Institute, Cuttack, Odisha, 753 006, India.
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14
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Environmental risk factors for multiple sclerosis in Japanese people. Mult Scler Relat Disord 2019; 38:101872. [PMID: 31812038 DOI: 10.1016/j.msard.2019.101872] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 09/11/2019] [Accepted: 11/24/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND The prevalence of multiple sclerosis (MS) has been increasing worldwide in recent years, especially among females. The same increasing trends are even observed in East Asian countries, where the prevalence of MS is relatively low compared with Northern European ancestries. Whether the environmental risk factors for MS are shared between Asian and North European ancestries, and the types of environmental factors that contribute to the low and recent increase in MS prevalence in Asian countries remain unknown. This study provides the first comprehensive survey of environmental risks for MS in East Asia. METHODS Patients with MS were recruited from the Department of Neurology at Kyushu University Hospital, Japan between 01 April 2017 and 31 March 2018. Healthy controls (HCs) were recruited by public notification. All participants were residents of Kyushu Island and were required to complete medical history and lifestyle questionnaires. Dietary data were collected using a Food Frequency Questionnaire comprising intake of approximately 140 food and beverage items in the past 1 year. One hundred and three patients with MS and 124 healthy controls (HCs) completed the questionnaires. Age at onset and disability score measured by the Kurtzke Expanded Disability Status Scale (EDSS) were obtained from medical records. RESULTS Frequency of obesity (body mass index ≥25 kg/m2) at present time was higher in MS patients than in HCs (19.4% vs. 7.4%, p = 0.009), while body mass index at age 18-20 years did not differ between the two groups. Frequency of current or ex-smokers was higher in MS patients than in HCs (50.5% vs. 22.8%, p < 0.0001) and disability measured by the EDSS was more severe in MS patients with active smoking history than in patients without such history (p = 0.006 after adjusting for sex). Passive smoking after age 16 years was also a risk factor for MS (odds ratio: 1.31, 95% confidence interval: 1.05-1.63, p = 0.015). Longer sunlight exposure in early childhood was a protective factor for MS (odds ratio: 0.65 during summer and 0.71 during winter at age 6-10 years; 0.71 during summer and 0.72 during winter at age 11-15 years). MS patients had earlier age of menarche than HCs (mean: 12.4 years vs. 12.9 years, p = 0.031). Intake of grains was lower in MS patients than in HCs, with intake of rice in particular being significantly lower in MS patients than in HCs (mean: 235.2 g/day vs. 280.6 g/day, p = 0.006). Previously reported foods associated with MS in Northern European ancestries were not replicated in Japanese people. CONCLUSION Smoking and earlier age of menarche are positively associated and sunlight exposure in early childhood is negatively associated with MS in Japanese people as shown in Caucasians. Intake of steamed short-grain white rice, a staple food in Japan, is newly found to be negatively associated with MS in Japanese people. Although the causality is unclear because the participants were prevalent cases, these environmental factors may be involved in the rising prevalence of MS in Japanese females.
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