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Liu XB, Gao ZY, Xu W, Meng JC, Zhou JR, Wen H, Tong Q, He SX. Tissue source may affect the esophageal flora in patients with esophageal squamous cell carcinoma. Oncol Lett 2025; 29:56. [PMID: 39606568 PMCID: PMC11600705 DOI: 10.3892/ol.2024.14802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 07/26/2024] [Indexed: 11/29/2024] Open
Abstract
The aim of the present study was to provide a theoretical basis for the selection of standard sampling methods in the study of the esophageal microbiota in patients with esophageal squamous cell carcinoma (ESCC) by comparing the differences in bacterial communities between surgical and endoscopic esophageal mucosal tissues. A total of 72 patients with ESCC who were diagnosed at Taihe Hospital (Shiyan, China) between July 2018 and July 2019 were selected to participate in the present study. The sequence V4 hypervariable region was amplified, and Illumina HiSeq sequencing was performed to analyze the differences between the two groups. The Shannon and Chao1 indices of the postoperative esophageal cancer tissue group samples (Group A) were higher than those of the esophageal mucosa tissue samples (Group B), and the difference was statistically significant (P<0.05). The Simpson index of Group A was higher than that of Group B, but the difference was not significant (P>0.05). The β diversity analysis demonstrated that the overall composition of the flora of the two groups was not significantly different. Linear discriminant analysis effect size analysis showed that the abundance of Megasphaera, Actinobacteria, Enterobacteriaceae and Enterobacteriales in Group A was significantly higher than that in Group B, but the abundance of Mogibacteriaceae in Group B was significantly higher than that in Group A. The top 60 species were selected using the random forest method to establish a model. The error rate of the prediction model constructed using the random forest method was 22.59%. The receiver operating characteristic (ROC) curve analysis confirmed that the present model was reliable and could effectively distinguish between the two groups of samples (area under the curve, 0.86). The source of the sample should be considered in studies investigating the esophageal flora. Considering the increased richness and improved uniformity of postoperative tissue microbiota compared with the mucosal group, it was predicted that postoperative tissue may be more conducive to the study of esophageal cancer microbiota.
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Affiliation(s)
- Xiao-Bo Liu
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
- Department of Gastroenterology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
- Hubei Key Laboratory of Embryonic Stem Cell Research, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
| | - Zi-Ye Gao
- Department of Oncology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
| | - Wen Xu
- Department of Gastroenterology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
| | - Jian-Chao Meng
- Department of Oncology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
| | - Jian-Rui Zhou
- Department of Rehabilitation Medicine, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
| | - Hui Wen
- Department of Gastroenterology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
| | - Qiang Tong
- Department of Gastroenterology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei 442000, P.R. China
| | - Shui-Xiang He
- Department of Gastroenterology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
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Mogna-Peláez P, Riezu-Boj JI, Milagro FI, Clemente-Larramendi I, Esteban Echeverría S, Herrero JI, Elorz M, Benito-Boillos A, Tobaruela-Resola AL, González-Muniesa P, Tur JA, Martínez JA, Abete I, Zulet MA. Sex-Dependent Gut Microbiota Features and Functional Signatures in Metabolic Disfunction-Associated Steatotic Liver Disease. Nutrients 2024; 16:4198. [PMID: 39683591 DOI: 10.3390/nu16234198] [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: 11/13/2024] [Revised: 11/30/2024] [Accepted: 12/02/2024] [Indexed: 12/18/2024] Open
Abstract
Background/Objectives: This study investigates the gut microbiota's role in metabolic dysfunction-associated steatotic liver disease (MASLD), focusing on microbial and functional signatures and sex-based differences. Methods: Using baseline data from 98 MASLD patients and 45 controls from the Fatty Liver in Obesity (FLiO) study, the gut microbiota was profiled with 16S gene sequencing, followed by statistical and machine learning analyses to identify disease-associated microbial signatures. Results: Notable alpha and beta diversity differences were observed between MASLD patients and the controls, varying by sex. Machine learning models highlighted specific microbial signatures for each sex, achieving high accuracy (area under the receiver operating characteristic curves of 0.91 for women and 0.72 for men). The key microbial taxa linked to MASLD included Christensenella and Limosilactobacillus in women and Beduinibacterium and Anaerotruncus in men. Functional profiling showed that MASLD patients had increased pathways for amine biosynthesis and amino acid degradation, while the controls exhibited enhanced fermentation pathways. These microbial features were associated with systemic inflammation, insulin resistance, and metabolite production linked to gut dysbiosis. Conclusions: The findings support the potential of gut microbiota signatures to be used as non-invasive indicators of MASLD and highlight sex-specific variations that could inform personalized diagnostic and therapeutic approaches.
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Affiliation(s)
- Paola Mogna-Peláez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - José I Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Fermin I Milagro
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Iñigo Clemente-Larramendi
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - Sergio Esteban Echeverría
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - José I Herrero
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Liver Unit, Clínica Universidad de Navarra, 31008 Pamplona, Spain
- Biomedical Research Centre Network in Hepatic and Digestive Diseases (CIBERehd), 28029 Madrid, Spain
| | - Mariana Elorz
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Alberto Benito-Boillos
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Ana Luz Tobaruela-Resola
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
| | - Pedro González-Muniesa
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Josep A Tur
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands-IUNICS & IDISBA, 07122 Palma, Spain
| | - J Alfredo Martínez
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Precision Nutrition and Cardiovascular Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Itziar Abete
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - M Angeles Zulet
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
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Chansa O, Shantavasinkul PC, Monsuwan W, Sirivarasai J. Association between Gut Microbiota Profiles, Dietary Intake, and Inflammatory Markers in Overweight and Obese Women. Foods 2024; 13:2592. [PMID: 39200519 PMCID: PMC11353678 DOI: 10.3390/foods13162592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Revised: 08/12/2024] [Accepted: 08/14/2024] [Indexed: 09/02/2024] Open
Abstract
Being overweight and obesity are significant global public health challenges due to their association with adipose tissue dysfunction, pro-inflammatory marker production, and alterations in gut microbiota composition. To explore the relationship between gut microbiota, dietary factors, and inflammatory markers in overweight or obese women, we conducted a cross-sectional study involving a healthy group (n = 20) and an overweight or obese group (n = 75). We collected data, including clinical, anthropometric, and dietary assessments, and carried out a blood biochemical analysis, the measurement of inflammatory biomarkers (hs-CRP, IL-6, and TNF-α), and the 16S rRNA gene sequencing of fecal samples. The gut microbiota analysis revealed notable differences in alpha and beta diversity between the two groups. Moreover, the abundance of gut microbiota in the overweight or obese group correlated positively with adiposity markers, blood pressure, lipid profiles, and inflammatory markers. These findings highlight significant changes in gut microbiota associated with obesity, potentially implicating pathways such as lipopolysaccharide biosynthesis. Understanding the role of the gut microbiome in obesity could reveal specific avenues for intervention.
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Affiliation(s)
- Orada Chansa
- Master of Science Program in Nutrition, Faculty of Medicine Ramathibodi Hospital, Institute of Nutrition, Mahidol University, Bangkok 10400, Thailand;
| | | | - Wutarak Monsuwan
- Nutrition Unit, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand;
| | - Jintana Sirivarasai
- Nutrition Unit, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand;
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Miao Z, Sun Y, Feng Z, Wu Q, Yang X, Wang L, Jiang Z, Li Y, Yi H. CAMKK2-AMPK axis endows dietary calcium and phosphorus levels with regulatory effects on lipid metabolism in weaned piglets. J Anim Sci Biotechnol 2024; 15:105. [PMID: 39098913 PMCID: PMC11299266 DOI: 10.1186/s40104-024-01061-0] [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: 03/12/2024] [Accepted: 06/11/2024] [Indexed: 08/06/2024] Open
Abstract
BACKGROUND In the realm of swine production, optimizing body composition and reducing excessive fat accumulation is critical for enhancing both economic efficiency and meat quality. Despite the acknowledged impact of dietary calcium (Ca) and phosphorus (P) on lipid metabolism, the precise mechanisms behind their synergistic effects on fat metabolism remain elusive. RESULTS Research observations have shown a decreasing trend in the percentage of crude fat in carcasses with increased calcium and phosphorus content in feed. Concurrently, serum glucose concentrations significantly decreased, though differences in other lipid metabolism-related indicators were not significant across groups. Under conditions of low calcium and phosphorus, there is a significant suppression in the expression of FABPs, CD36 and PPARγ in the jejunum and ileum, leading to inhibited intestinal lipid absorption. Concurrently, this results in a marked increase in lipid accumulation in the liver. Conversely, higher levels of dietary calcium and phosphorus promoted intestinal lipid absorption and reduced liver lipid accumulation, with these changes being facilitated through the activation of the CAMKK2/AMPK signaling pathway by high-calcium-phosphorus diets. Additionally, the levels of calcium and phosphorus in the diet significantly altered the composition of liver lipids and the gut microbiota, increasing α-diversity and affecting the abundance of specific bacterial families related to lipid metabolism. CONCLUSION The evidence we provide indicates that the levels of calcium and phosphorus in the diet alter body fat content and lipid metabolism by modulating the response of the gut-liver axis to lipids. These effects are closely associated with the activation of the CAMKK2/AMPK signaling pathway.
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Affiliation(s)
- Zhenyan Miao
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Yanjie Sun
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China
| | - Zhangjian Feng
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Qiwen Wu
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China
| | - Xuefen Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China
| | - Li Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China
| | - Zongyong Jiang
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China.
| | - Ying Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China
| | - Hongbo Yi
- State Key Laboratory of Swine and Poultry Breeding Industry, Key Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture and Rural Affairs, Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Provincial Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510642, China.
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5
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Zhang J, Wu X, Zhao J, Ma X, Murad MS, Mu G. Peptidome comparison on the immune regulation effects of different casein fractions in a cyclophosphamide mouse model. J Dairy Sci 2024; 107:40-61. [PMID: 37709034 DOI: 10.3168/jds.2023-23761] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/15/2023] [Indexed: 09/16/2023]
Abstract
The protein composition of human milk plays a crucial role in infant formula milk powder formulation. Notably, significant differences exist between bovine casein and human milk casein. Previous studies have shown that casein hydrolysates could enhance immune function; however, gastrointestinal dyspepsia in infants affects the type and function of peptides. Therefore, the present study used peptidomics to sequence and analyze hydrolyzed peptides from different casein fractions. Additionally, animal experiments were conducted to assess the functionality of these casein fractions and elucidate their differences. The results revealed variations in peptide composition among the different casein fractions of formula milk powder. Interestingly, milk powder formulated with both β- and κ-casein (BK) exhibited significant enrichment of peptides related to the immune system. Moreover, the BK group significantly alleviated immune organ damage in cyclophosphamide-treated mice and regulated serum levels of pro-inflammatory and anti-inflammatory factors. Furthermore, feeding different casein fractions influenced the intestinal microflora of cyclophosphamide-treated mice, with the BK group mitigating the changes caused by cyclophosphamide. In conclusion, the findings suggest that BK formula in milk powder has the potential to positively enhance immunity. This study provides a robust theoretical basis for human-emulsified formula milk powder development.
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Affiliation(s)
- Junpeng Zhang
- School of Food Science and Technology, Dalian Polytechnic University, Liaoning, 116000, China
| | - Xiaomeng Wu
- School of Food Science and Technology, Dalian Polytechnic University, Liaoning, 116000, China.
| | - Jinghong Zhao
- School of Food Science and Technology, Dalian Polytechnic University, Liaoning, 116000, China
| | - Xutong Ma
- School of Food Science and Technology, Dalian Polytechnic University, Liaoning, 116000, China
| | - M Safian Murad
- School of Food Science and Technology, Dalian Polytechnic University, Liaoning, 116000, China
| | - Guangqing Mu
- School of Food Science and Technology, Dalian Polytechnic University, Liaoning, 116000, China.
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Zhang X, Chen J, Zhou S, Jiang Y, Wang Y, Li Y. The effect of flaxseed oil after deep frying on lipid metabolism and gut barrier homeostasis. Food Res Int 2024; 175:113728. [PMID: 38129043 DOI: 10.1016/j.foodres.2023.113728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/06/2023] [Accepted: 11/22/2023] [Indexed: 12/23/2023]
Abstract
Flaxseed oil (FO) has been demonstrated its multiple beneficial effects in vivo due to high concentration of α-linolenic acid. The deterioration of FO can be triggered by high temperature heating during the deep frying process resulting in alteration of healthy properties. In this study, the effect of FO before and after deep frying on lipid metabolism and gut homeostasis of rats was investigated compared to deep-fried palm oil (DPO) treated group. Deep-fried flaxseed oil (DFO) treatment significantly enhanced the triglyceride accumulation in serum and liver tissues of rats. A greater increase of peroxides and proinflammatory cytokine levels was found in the serum of DFO treated rats compared to other groups. The histopathologic data indicated that DFO and DPO reduced the villus height of intestinal and colonic tissues and increased the inflammatory cell infiltration. The inflammatory cytokines (TNFα and IL-6) were enhanced and the key markers of epithelia colonic tissues (occludin and MUC-2) were suppressed in rats with DFO interventions, which is in consistency with histopathologic results. In addition, FO could increase the number of beneficial bacteria while the relative abundance of obesity and inflammatory-related bacteria was promoted by DFO treatment, including Ruminococcaceae, Prevotellaceae, and Selenomonadales. In conclusion, DFO intake had a significant impact on the disruption of gut barrier homeostasis, potentially worsening the dysbiosis than DPO. The beneficial effects of FO in vivo could be significantly reduced by extreme deep frying, which suggests the need for moderate cooking edible oils such as FO.
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Affiliation(s)
- Xu Zhang
- Guangdong International Joint Research Center for Oilseeds Biorefinery, Nutrition and Safety, Department of Food Science and Engineering, Jinan University, Guangzhou 510632, China
| | - Jing Chen
- Guangdong International Joint Research Center for Oilseeds Biorefinery, Nutrition and Safety, Department of Food Science and Engineering, Jinan University, Guangzhou 510632, China; Institute for Advanced and Applied Chemical Synthesis, Jinan University, Guangzhou, 510632, China
| | - Shengmin Zhou
- Wilmar (Shanghai) Biotechnology Research and Development Center Co., Ltd., 118 Gaodong Road, Pudong New District, 200137, Shanghai, China
| | - Yuanrong Jiang
- Wilmar (Shanghai) Biotechnology Research and Development Center Co., Ltd., 118 Gaodong Road, Pudong New District, 200137, Shanghai, China
| | - Yong Wang
- Guangdong International Joint Research Center for Oilseeds Biorefinery, Nutrition and Safety, Department of Food Science and Engineering, Jinan University, Guangzhou 510632, China.
| | - Ying Li
- Guangdong International Joint Research Center for Oilseeds Biorefinery, Nutrition and Safety, Department of Food Science and Engineering, Jinan University, Guangzhou 510632, China.
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7
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Verscheure E, Stierum R, Schlünssen V, Lund Würtz AM, Vanneste D, Kogevinas M, Harding BN, Broberg K, Zienolddiny-Narui S, Erdem JS, Das MK, Makris KC, Konstantinou C, Andrianou X, Dekkers S, Morris L, Pronk A, Godderis L, Ghosh M. Characterization of the internal working-life exposome using minimally and non-invasive sampling methods - a narrative review. ENVIRONMENTAL RESEARCH 2023; 238:117001. [PMID: 37683788 DOI: 10.1016/j.envres.2023.117001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 08/24/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023]
Abstract
During recent years, we are moving away from the 'one exposure, one disease'-approach in occupational settings and towards a more comprehensive approach, taking into account the totality of exposures during a life course by using an exposome approach. Taking an exposome approach however is accompanied by many challenges, one of which, for example, relates to the collection of biological samples. Methods used for sample collection in occupational exposome studies should ideally be minimally invasive, while at the same time sensitive, and enable meaningful repeated sampling in a large population and over a longer time period. This might be hampered in specific situations e.g., people working in remote areas, during pandemics or with flexible work hours. In these situations, using self-sampling techniques might offer a solution. Therefore, our aim was to identify existing self-sampling techniques and to evaluate the applicability of these techniques in an occupational exposome context by conducting a literature review. We here present an overview of current self-sampling methodologies used to characterize the internal exposome. In addition, the use of different biological matrices was evaluated and subdivided based on their level of invasiveness and applicability in an occupational exposome context. In conclusion, this review and the overview of self-sampling techniques presented herein can serve as a guide in the design of future (occupational) exposome studies while circumventing sample collection challenges associated with exposome studies.
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Affiliation(s)
- Eline Verscheure
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Rob Stierum
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Vivi Schlünssen
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Anne Mette Lund Würtz
- Department of Public Health, Research unit for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Dorian Vanneste
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Manolis Kogevinas
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Barbara N Harding
- Environment and Health over the Lifecourse Program, ISGlobal, Barcelona, Spain
| | - Karin Broberg
- Division of Occupational and Environmental Medicine, Lund University, Lund, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | | | - Mrinal K Das
- National Institute of Occupational Health, Oslo, Norway
| | - Konstantinos C Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Corina Konstantinou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Xanthi Andrianou
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
| | - Susan Dekkers
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | | | - Anjoeka Pronk
- Netherlands Organisation for Applied Scientific Research TNO, Risk Analysis for Products in Development, Utrecht, the Netherlands
| | - Lode Godderis
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium; Idewe, External Service for Prevention and Protection at work, Heverlee, Belgium.
| | - Manosij Ghosh
- Department of Public Health and Primary Care, Centre for Environment and Health, Katholieke Universiteit Leuven, Leuven, Belgium.
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8
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Shen Z, Cui T, Liu Y, Wu S, Han C, Li J. Astragalus membranaceus and Salvia miltiorrhiza ameliorate diabetic kidney disease via the "gut-kidney axis". PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 121:155129. [PMID: 37804821 DOI: 10.1016/j.phymed.2023.155129] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 08/02/2023] [Accepted: 09/28/2023] [Indexed: 10/09/2023]
Abstract
BACKGROUND The combination of Astragalus membranaceus and Salvia miltiorrhiza (AS) is an effective prescription for treating diabetic kidney disease (DKD) in traditional Chinese medicine. Its efficacy in treating DKD has been confirmed, but the potential regulatory mechanism has not yet been fully clarified. PURPOSE To explore the mechanism by which AS regulates the "gut-metabolism-transcription" coexpression network under the action of the "gut-kidney axis" to ameliorate DKD. METHODS SD rats were used to establish the DKD model by injecting STZ. After AS intervention, the structure and function of the kidney and colon were observed. We sequenced the gut microbiota utilizing 16S rDNA, identified serum differential metabolites using LC‒MS/MS, and observed renal mRNA expression by RNA seq. The "gut-metabolism-transcription" coexpression network was further constructed, and the target bacteria, target metabolites, and target genes of AS were ultimately screened and validated. RESULTS AS improved renal pathology and functional damage and increased the abundance of Akkermansia, Akkermansia_muciniphila, Lactobacillus and Lactobacillus_murinus. Fourteen target metabolites of AS were identified, which were mainly concentrated in 19 KEGG pathways, including sphingolipid metabolism and glycerophospholipid metabolism. Sixty-three target mRNAs of AS were identified. The top 20 pathways were closely related to glycolipid metabolism, and 14 differential mRNAs were expressed in these pathways. Correlation analysis showed that Akkermansia, Akkermansia muciniphila, Lactobacillus and Lactobacillus murinus were closely associated with sphingolipid metabolism, glycerophospholipid metabolism, arachidonic acid metabolism, ascorbate and aldarate metabolism and galactose metabolism. Moreover, the target metabolites and target mRNAs of AS were also enriched in five identical pathways of sphingolipid metabolism, glycerophospholipid metabolism, arachidonic acid metabolism, ascorbate and aldarate metabolism and galactose metabolism, including 8 different metabolites, such as sphingosine, and 5 different genes, such as Kng1. The 8 metabolites had high AUC prediction values, and the validation of the 5 genes was consistent with the sequencing results. CONCLUSION Our research showed that AS can improve DKD via the "gut-kidney axis". Akkermansia muciniphila and Lactobacillus murinus were the main driving bacteria, and five pathways related to glycolipid metabolism, especially sphingolipid metabolism and glycerophospholipid metabolism, may be important follow-up reactions and regulatory mechanisms.
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Affiliation(s)
- Zhen Shen
- Shandong University of Traditional Chinese Medicine, No.4655 Daxue Road, Jinan 250014, China
| | - Tao Cui
- Jinan Zhangqiu District Hospital of Traditional Chinese Medicine, Jinan 250200, China
| | - Yao Liu
- Shandong University of Traditional Chinese Medicine, No.4655 Daxue Road, Jinan 250014, China
| | - Shuai Wu
- Nephropathy Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No.16369 Jingshi Road, Jinan 250014, China
| | - Cong Han
- Nephropathy Department, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, No.16369 Jingshi Road, Jinan 250014, China.
| | - Jie Li
- Shandong University of Traditional Chinese Medicine, No.4655 Daxue Road, Jinan 250014, China.
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9
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Widjaja F, Rietjens IMCM. From-Toilet-to-Freezer: A Review on Requirements for an Automatic Protocol to Collect and Store Human Fecal Samples for Research Purposes. Biomedicines 2023; 11:2658. [PMID: 37893032 PMCID: PMC10603957 DOI: 10.3390/biomedicines11102658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/29/2023] Open
Abstract
The composition, viability and metabolic functionality of intestinal microbiota play an important role in human health and disease. Studies on intestinal microbiota are often based on fecal samples, because these can be sampled in a non-invasive way, although procedures for sampling, processing and storage vary. This review presents factors to consider when developing an automated protocol for sampling, processing and storing fecal samples: donor inclusion criteria, urine-feces separation in smart toilets, homogenization, aliquoting, usage or type of buffer to dissolve and store fecal material, temperature and time for processing and storage and quality control. The lack of standardization and low-throughput of state-of-the-art fecal collection procedures promote a more automated protocol. Based on this review, an automated protocol is proposed. Fecal samples should be collected and immediately processed under anaerobic conditions at either room temperature (RT) for a maximum of 4 h or at 4 °C for no more than 24 h. Upon homogenization, preferably in the absence of added solvent to allow addition of a buffer of choice at a later stage, aliquots obtained should be stored at either -20 °C for up to a few months or -80 °C for a longer period-up to 2 years. Protocols for quality control should characterize microbial composition and viability as well as metabolic functionality.
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Affiliation(s)
- Frances Widjaja
- Division of Toxicology, Wageningen University & Research, 6708 WE Wageningen, The Netherlands;
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10
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Fang X, Nong K, Qin X, Liu Z, Gao F, Jing Y, Fan H, Wang Z, Wang X, Zhang H. Effect of purple sweet potato-derived anthocyanins on heat stress response in Wenchang chickens and preliminary mechanism study. Poult Sci 2023; 102:102861. [PMID: 37390559 PMCID: PMC10466256 DOI: 10.1016/j.psj.2023.102861] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/06/2023] [Accepted: 06/07/2023] [Indexed: 07/02/2023] Open
Abstract
This study was conducted to investigate the beneficial effect of purple sweet potato anthocyanins (PSPA) on growth performance, oxidative status, immune response, intestinal morphology, and intestinal flora homeostasis in heat-stressed Wenchang chickens. A total of 100 Wenchang chickens (50-day-old) were randomly assigned to 5 groups, including the thermoneutral environment (TN) group (26°C); high-temperature stressed (HS) group (33°C ± 1°C); low-dose PSPA treatment (L_HS) group (8 mg/kg body weight, 33°C ± 1°C); medium-dose PSPA treatment (M_HS) group and high-dose PSPA treatment (H_HS) group (16 mg/kg and 32 mg/kg body weight, respectively, 33°C ± 1°C). The results showed that PSPA reversed the adverse effects of heat stress on growth performance, meat quality, and carcass characteristics. And the effect was associated with the concentration of PSPA partially. Heat stress increased the serum lipids of Wenchang chickens. LDL-C, TG, TC, and FFA in the serum were significantly decreased, and HDL-C and LPS in the serum were increased by PSPA treatment. The digestive enzymes in duodenal chyme were significantly (P < 0.05) increased by PSPA treatment. And PSPA treatment significantly (P < 0.05) enhanced the redox status by improving antioxidant parameters (GSH-Px and SOD) and decreasing the MDA level in the serum and liver. Moreover, the level of inflammatory cytokines was significantly (P < 0.05) regulated by PSPA treatment compared to the HS group. The villus length and goblet cell numbers after PSPA treatment were significantly higher than HS group. Furthermore, PSPA also played protection on the intestine structure by decreasing the level of D-LA and DAO. 16S rRNA sequencing revealed the microbial composition was altered by PSPA, and Acetanaerobacterium and Oscillibacter were dominant in the H_HS group. Microbial functional prediction indicated that function pathways based on KEGG and metacyc database were regulated by PSPA, and intestinal flora correlated with metabolic function significantly. The spearman correlation analysis showed that Saccharibacteria and Clostridium_IV correlated with the serum lipids, antioxidant, and inflammatory cytokines. Collectively, these findings suggest that PSPA has a positive effect against heat stress in poultry.
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Affiliation(s)
- Xin Fang
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Keyi Nong
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Xinyun Qin
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Zhineng Liu
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Feng Gao
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Yuanli Jing
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Haokai Fan
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Zihan Wang
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Xuemei Wang
- College of Animal Science and Technology of Hainan University, Haikou 570228, China
| | - Haiwen Zhang
- College of Animal Science and Technology of Hainan University, Haikou 570228, China.
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11
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Zhang L, Miao Z, Li Y, Xu X, Zhou T, Zhang Y, Liu Y. A potential marker of radiation based on 16S rDNA in the rat model: Intestinal flora. PLoS One 2023; 18:e0286026. [PMID: 37527262 PMCID: PMC10393172 DOI: 10.1371/journal.pone.0286026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 05/06/2023] [Indexed: 08/03/2023] Open
Abstract
The gastrointestinal microbiota plays an important role in the function of the host intestine. However, little is currently known about the effects of irradiation on the microorganisms colonizing the mucosal surfaces of the gastrointestinal tract. The aim of this study was to investigate the effects of X-ray irradiation on the compositions of the large intestinal Microbiotas of the rat. The gut microbiotas in control mice and mice receiving irradiation with different dose treatment were characterized by high-throughput sequencing of the bacterial 16S rDNA gene and their metabolites were detected by gas chromatography-mass spectrometry. Unexpectedly, the diversity was increased mildly at 2Gy irradiation, and dose dependent decreased at 4Gy, 6Gy, 8Gy irradiation. The phyla with large changes in phylum level are Firmicutes, Bacteroides and Proteobacteria; the abundance ratio of Firmicutes/Bacteroides is inverted; and when 8Gy is irradiated, the phylum abundance level was significantly increased. At the genus level, the abundance levels of Phascolarctobacterium, Ruminococcaceae and Lachnospiraceae increased at 2Gy irradiation, and significantly decreased at 4Gy, 6Gy, and 8Gy irradiation; the abundance level of Prevotellaceae diminished at 2Gy irradiation, and enhanced at 4Gy, 6Gy, 8Gy irradiation; The abundance level of Violet bacteria (Christenellaceae) and Lactobacillus attenuated in a dose-dependent manner; Lachnoclostridium enhanced in a dose-dependent manner; Bacteroides was in 4Gy, 6Gy, 8Gy The abundance level increased significantly during irradiation; the abundance level of Shigella (Escherichia-Shigella) only increased significantly during 8Gy irradiation. Lefse predicts that the biomarker at 0Gy group is Veillonellaceae, the biomarker at 2Gy group is Firmicutes, the biomarkers at 4Gy group are Dehalobacterium and Dehalobacteriaceae, the biomarkers at 6Gy group are Odoribacter, and the biomarkers at 8Gy group are Anaerotruncus, Holdemania, Proteus, Bilophila, Desufovibrionales and Deltaproteobacteria. Overall, the data presented here reveal that X-ray irradiation can cause imbalance of the intestinal flora in rats; different doses of irradiation can cause different types of bacteria change. Representative bacteria can be selected as biomarkers for radiation damage and repair.This may contribute to the development of radiation resistance in the future.
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Affiliation(s)
- Liying Zhang
- Provincial-Level Key Laboratory for Molecular Medicine of Major Diseases and The Prevention and Treatment with Traditional Chinese Medicine Research in Gansu Colleges and Universities, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Zhiming Miao
- Provincial-Level Key Laboratory for Molecular Medicine of Major Diseases and The Prevention and Treatment with Traditional Chinese Medicine Research in Gansu Colleges and Universities, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Yangyang Li
- Provincial-Level Key Laboratory for Molecular Medicine of Major Diseases and The Prevention and Treatment with Traditional Chinese Medicine Research in Gansu Colleges and Universities, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Xiaomin Xu
- Provincial-Level Key Laboratory for Molecular Medicine of Major Diseases and The Prevention and Treatment with Traditional Chinese Medicine Research in Gansu Colleges and Universities, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
- Medical College of Hexi University, Zhangye, Gansu, China
| | - Ting Zhou
- Provincial-Level Key Laboratory for Molecular Medicine of Major Diseases and The Prevention and Treatment with Traditional Chinese Medicine Research in Gansu Colleges and Universities, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Yiming Zhang
- Provincial-Level Key Laboratory for Molecular Medicine of Major Diseases and The Prevention and Treatment with Traditional Chinese Medicine Research in Gansu Colleges and Universities, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
| | - Yongqi Liu
- Provincial-Level Key Laboratory for Molecular Medicine of Major Diseases and The Prevention and Treatment with Traditional Chinese Medicine Research in Gansu Colleges and Universities, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
- Key Laboratory of Dunhuang Medicine and Transformation at Provincial and Ministerial Level, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
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12
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Mo F, Li Y, Liu Z, Zheng J, Huang Z. Captivity restructures the gut microbiota of François' langurs ( Trachypithecus francoisi). Front Microbiol 2023; 14:1166688. [PMID: 37250037 PMCID: PMC10218129 DOI: 10.3389/fmicb.2023.1166688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/12/2023] [Indexed: 05/31/2023] Open
Abstract
Gut microbiota is crucial to primate survival. Data on the gut microbiota of captive and wild animals can provide a physiological and ecological basis for the conservation of rare and endangered species. To study the effect of captivity on the gut microbiota, we examine the difference in the gut microbiota composition between captive and wild Francois' langurs (Trachypithecus francoisi), using 16S rRNA sequencing technology. The results showed that the composition of the gut microbiota of captive and wild langurs was characterized by Firmicutes (51.93 ± 10.07% vs. 76.15 ± 8.37%) and Bacteroidetes (32.43 ± 10.00% vs. 4.82 ± 1.41%) at the phylum level and was characterized by Oscillospiraceae (15.80 ± 5.19% vs. 30.21 ± 4.87%) at the family level. The alpha diversity of gut microbiota in captive langurs was higher than those in wild, such as the Shannon index (4.45 ± 0.33 vs. 3.98 ± 0.19, P < 0.001) and invSimpson index (35.11 ± 15.63 vs. 19.02 ± 4.87, P < 0.001). Principal coordinates analysis (PCoA) results showed significant differences in the composition of gut microbiota between captive and wild langurs at both the phylum and family levels (weight UniFrac algorithm, phylum level: R2 = 0.748, P = 0.001; family level: R2 = 0.685, P = 0.001). The relative abundance of Firmicutes (51.93 ± 10.07%) in captive langurs was lower than that of wild langurs (76.15 ± 8.37%), and the relative abundance of Bacteroidetes (32.43 ± 10.00%) in captive langurs was higher than that of wild (4.82 ± 1.41%). Our study concludes that dietary composition could be a crucial determinant in shaping the gut microbiota of langurs because more fiber-rich foods used by the wild langurs could increase the abundance of Firmicutes, and more simple carbohydrate-rich foods consumed by the captive langurs increase the abundance of Bacteroidetes. We highlight the importance of captivity on the gut microbiota and the need to consider the gut microbiota in animal provision.
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Affiliation(s)
- Fengxiang Mo
- Key Laboratory of Ecology and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Yuhui Li
- Key Laboratory of Ecology and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Zheng Liu
- Key Laboratory of Ecology and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Jingjin Zheng
- Key Laboratory of Ecology and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
| | - Zhonghao Huang
- Key Laboratory of Ecology and Endangered Species and Environmental Protection (Guangxi Normal University), Ministry of Education, Guilin, China
- Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, China
- College of Life Sciences, Guangxi Normal University, Guilin, China
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13
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Wu J, Zhang D, Zhao M, Zheng X. Gut Microbiota Dysbiosis and Increased NLRP3 Levels in Patients with Pregnancy-Induced Hypertension. Curr Microbiol 2023; 80:168. [PMID: 37024673 PMCID: PMC10079714 DOI: 10.1007/s00284-023-03252-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 03/01/2023] [Indexed: 04/08/2023]
Abstract
Pregnancy-induced hypertension (PIH) is one of the most common diseases, causing high maternal morbidity and mortality. However, the correlation of gut microbiota in PIH has not been reported. Our aim was to characterize the intestinal microbiota of patients with PIH compared with healthy people. We analyzed and compared the gut microbiota communities in the feces of 28 PIH patients with pregnancy(not pre-pregnancy) body mass index (including height and weight)-matched healthy controls using 16S rRNA gene sequencing and then investigate the relationships among gut microbiota, cytokines, and PIH. Compared with the healthy group, microbial α diversity was lower in the PIH group, but not statistically significant different. At the phylum level, Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria exhibited obvious differences between the PIH and control groups. LEfSe analysis found 33 differentially abundant taxa between the two groups. The production of pro-inflammatory cytokines in PIH serum or placenta tissues was higher than that of the control group. In addition to alterations in gut microbiota composition, we also found that the Bac_Prevotellaceae, Pre_Prevotella bacteria were positively correlated with NLRP3 level, but negatively correlated with Bac_Bacteroidaceae, Bac_Bacteroides. PIH patients had gut microbiota dysbiosis and increased NLRP3 levels, which will lead to a better understanding of the relationship between the gut microbiota and PIH.
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Affiliation(s)
- Jingjing Wu
- Department of Obstetrics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Dongmei Zhang
- Department of Obstetrics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
| | - Meijing Zhao
- Department of Obstetrics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Xiaowei Zheng
- Clinical Laboratory, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
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14
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Liu H, Kang X, Yang X, Yang H, Kuang X, Ren P, Yan H, Shen X, Kang Y, Li L, Wang X, Guo L, Tong M, Fan W. Compound Probiotic Ameliorates Acute Alcoholic Liver Disease in Mice by Modulating Gut Microbiota and Maintaining Intestinal Barrier. Probiotics Antimicrob Proteins 2023; 15:185-201. [PMID: 36456838 DOI: 10.1007/s12602-022-10005-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 12/03/2022]
Abstract
Alcoholic liver disease (ALD) is a worldwide health threaten lack of effective treatment. Gut dysbiosis and concomitant augmented intestinal permeability are strongly implicated in the pathogenesis and progression of ALD. Research on the protective effect of probiotics on ALD is limited, and more effective intestinal microecological regulators and the related mechanisms still need to be further explored. In the present study, the protective effects and mechanisms of a compound probiotic against acute alcohol-induced liver injury in vivo were explod. It was showed that the compound probiotic ameliorated liver injury in acute ALD mice and stabilized the levels of ALT, AST, and TG in serum. The compound probiotic reversed acute alcohol-induced gut dysbiosis and maintained the intestinal barrier integrity by upregulating the production of mucus and the expression of tight junction (TJ) proteins and thus reduced LPS level in liver. Meanwhile, the compound probiotic reduced inflammation level by inhibiting TLR4/NF-κB signaling pathway and suppressed oxidative stress level in liver. Furthermore, the compound probiotic alleviated liver lipid accumulation by regulating fatty acid metabolism-associated genes and AMPK-PPARα signaling pathway. Noteworthy, fecal microbiota transplantation (FMT) realized comparable protective effect with that of compound probiotic. In conclusion, present study demonstrates the beneficial effects and underlying mechanism of the compound probiotic against acute alcohol-induced liver injury. It provides clues for development of novel strategy for treatment of ALD.
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Affiliation(s)
- Haixia Liu
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Xing Kang
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Xiaodan Yang
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Hao Yang
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Xiaoyu Kuang
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Peng Ren
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Huan Yan
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Xiaorong Shen
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Yongbo Kang
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Lin Li
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Xiaohui Wang
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
- Laboratory of Morphology, Shanxi Medical University, Jinzhong, 030619, China
| | - Linzhi Guo
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
- Laboratory of Morphology, Shanxi Medical University, Jinzhong, 030619, China
| | - Mingwei Tong
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China
| | - Weiping Fan
- Department of Microbiology and Immunology, Shanxi Medical University, Jinzhong, 030619, China.
- Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, China.
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15
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He Y, Li J, Wang F, Na W, Tan Z. Dynamic Changes in the Gut Microbiota and Metabolites during the Growth of Hainan Wenchang Chickens. Animals (Basel) 2023; 13:348. [PMID: 36766238 PMCID: PMC9913245 DOI: 10.3390/ani13030348] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/11/2023] [Accepted: 01/16/2023] [Indexed: 01/21/2023] Open
Abstract
Gut microbiota and their metabolites play important roles in animal growth by influencing the host's intake, storage, absorption, and utilization of nutrients. In addition to environmental factors, mainly diet, chicken breed and growth stage also affect changes in the gut microbiota. However, little research has been conducted on the development of gut microbiota and its metabolites in local chickens. In this study, the cecal microbiota and metabolites in different developmental stages of Hainan Wenchang chickens (a native breed of Bantam) were investigated using 16S rRNA sequencing and untargeted metabolomics. With aging, the structure of gut microbiota tended to be more stable. The relative proportions of dominant bacteria phyla Firmicutes, Bacteroidetes, and Proteobacteria showed stage changes with the development. With aging, gut microbiota and their metabolites may have structural and functional changes in response to nutrient metabolism and immune requirements in different physiological states. Several microbial and metabolic biomarkers with statistical differences were detected in different development stages. The bacteria that form networks with their significant related metabolites were different in various growth stages, including uncultured_bacterium_f_Ruminococcaceae, Ruminococcaceae_UCG-014, Faecalibacterium, uncultured_bacterium_o_Bacteroidales, and uncultured_bacterium_f_Lachnospiraceae. Partially differential bacteria were significantly correlated with short-chain fatty acids such as butyric acid. These findings may provide new insights into the physiological and molecular mechanisms of developmental changes of local chicken breeds, as well as resources for microbial and metabolic biomarker identification to improve growth efficiency.
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Affiliation(s)
| | | | | | - Wei Na
- School of Animal Science and Technology, Hainan University, Haikou 570228, China
| | - Zhen Tan
- School of Animal Science and Technology, Hainan University, Haikou 570228, China
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16
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Okazaki A, Kawano S. Multi-Task Learning for Compositional Data via Sparse Network Lasso. ENTROPY (BASEL, SWITZERLAND) 2022; 24:1839. [PMID: 36554244 PMCID: PMC9777680 DOI: 10.3390/e24121839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 06/17/2023]
Abstract
Multi-task learning is a statistical methodology that aims to improve the generalization performances of estimation and prediction tasks by sharing common information among multiple tasks. On the other hand, compositional data consist of proportions as components summing to one. Because components of compositional data depend on each other, existing methods for multi-task learning cannot be directly applied to them. In the framework of multi-task learning, a network lasso regularization enables us to consider each sample as a single task and construct different models for each one. In this paper, we propose a multi-task learning method for compositional data using a sparse network lasso. We focus on a symmetric form of the log-contrast model, which is a regression model with compositional covariates. Our proposed method enables us to extract latent clusters and relevant variables for compositional data by considering relationships among samples. The effectiveness of the proposed method is evaluated through simulation studies and application to gut microbiome data. Both results show that the prediction accuracy of our proposed method is better than existing methods when information about relationships among samples is appropriately obtained.
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Affiliation(s)
- Akira Okazaki
- Graduate School of Informatics and Engineering, The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu 182-8585, Tokyo, Japan
| | - Shuichi Kawano
- Faculty of Mathematics, Kyushu University, 744 Motooka, Nishi-ku 819-0395, Fukuoka, Japan
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Lekang K, Shekhar S, Berild D, Petersen FC, Winther-Larsen HC. Effects of different amoxicillin treatment durations on microbiome diversity and composition in the gut. PLoS One 2022; 17:e0275737. [PMID: 36301847 PMCID: PMC9612567 DOI: 10.1371/journal.pone.0275737] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 09/22/2022] [Indexed: 11/05/2022] Open
Abstract
Antibiotics seize an effect on bacterial composition and diversity and have been demonstrated to induce disruptions on gut microbiomes. This may have implications for human health and wellbeing, and an increasing number of studies suggest a link between the gut microbiome and several diseases. Hence, reducing antibiotic treatments may be beneficial for human health status. Further, antimicrobial resistance (AMR) is an increasing global problem that can be counteracted by limiting the usage of antibiotics. Longer antibiotic treatments have been demonstrated to increase the development of AMR. Therefore, shortening of antibiotic treatment durations, provided it is safe for patients, may be one measure to reduce AMR. In this study, the objective was to investigate effects of standard and reduced antibiotic treatment lengths on gut microbiomes using a murine model. Changes in the murine gut microbiome was assessed after using three different treatment durations of amoxicillin (3, 7 or 14 days) as well as a control group not receiving amoxicillin. Fecal samples were collected before and during the whole experiment, until three weeks past end of treatment. These were further subject for 16S rRNA Illumina MiSeq sequencing. Our results demonstrated significant changes in bacterial diversity, richness and evenness during amoxicillin treatment, followed by a reversion in terms of alpha-diversity and abundance of major phyla, after end of treatment. However, a longer restitution time was indicated for mice receiving amoxicillin for 14 days, and phylum Patescibacteria did not fully recover. In addition, an effect on the composition of Firmicutes was indicated to last for at least three weeks in mice treated with amoxicillin for 14 days. Despite an apparently reversion to a close to original state in overall bacterial diversity and richness, the results suggested more durable changes in lower taxonomical levels. We detected several families, genera and ASVs with significantly altered abundance three weeks after exposure to amoxicillin, as well as bacterial taxa that appeared significantly affected by amoxicillin treatment length. This may strengthen the argument for shorter antibiotic treatment regimens to both limit the emergence of antibiotic resistance and risk of gut microbiome disturbance.
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Affiliation(s)
- Katrine Lekang
- Department of Pharmacy, Section for Pharmacology and Pharmaceutical Biosciences, University of Oslo, Oslo, Norway
| | - Sudhanshu Shekhar
- Faculty of Dentistry, Institute of Oral Biology, University of Oslo, Oslo, Norway
| | - Dag Berild
- Faculty of Medicine, Department of Infectious Diseases, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Hanne C. Winther-Larsen
- Department of Pharmacy, Section for Pharmacology and Pharmaceutical Biosciences, University of Oslo, Oslo, Norway
- * E-mail:
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Inhibiting Intestinal Krüppel-Like Factor 5 Impairs the Beneficial Role of Renal Denervation in Gut Microbiota in Rats with Heart Failure. Microbiol Spectr 2022; 10:e0218322. [PMID: 36135378 PMCID: PMC9603959 DOI: 10.1128/spectrum.02183-22] [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] [Indexed: 12/31/2022] Open
Abstract
Krüppel-like factor 5 (KLF5) is critical in maintaining intestinal barrier function, and renal denervation (RDN) mitigates gut microbiota aberrations in rats with heart failure (HF). It is unclear whether intestinal KLF5 can be regulated by RDN and whether inhibiting intestinal KLF5 weakens the beneficial role of RDN on gut microbiota. Sprague-Dawley rats were distributed into a CG (sham transverse aortic constriction [TAC] and sham RDN), HF (induced by TAC), or RDN (underwent RDN after TAC) group or a CG.M, HF.M, or RDN.M group, which included the administration of the KLF5 inhibitor to the CG, HF, or RDN group, respectively. Transmission electron microscopy, mRNA, and protein expression of KLF5 and desmoglein 2 (DSG2) in jejunum and sequencing of the 16S rRNA gene in fecal samples were evaluated. KLF5 expression was lower in the RDN group than in the HF group (P < 0.001). The microvillus length, density, length-to-width ratio, and DSG2 expression were lower in the RDN.M group than in the RDN group, and the same trend was observed between the HF.M and HF groups (all P < 0.05). The gut bacterial community structure was altered after administration of a KLF5 inhibitor. The abundances of Proteobacteria, Gammaproteobacteria, Sutterella, and Prevotellaceae were higher, and the abundance of Firmicutes was lower in the RDN.M group than in the RDN group (all P < 0.05). These findings indicated that RDN suppressed intestinal KLF5 expression, and inhibiting intestinal KLF5 expression exacerbated the gut microbiota by impairing the intestinal barrier function in HF rats following RDN, which weakened the beneficial role of RDN on gut microbiota. IMPORTANCE Krüppel-like factor 5 (KLF5) is critical for the maintenance of intestinal barrier function. It is unclear whether intestinal KLF5 expression can be affected by renal denervation (RDN) in heart failure (HF) and whether inhibiting intestinal KLF5 expression exacerbates the gut microbiome and weakens the role of RDN in mitigating gut microbiome aberrations in HF rats after RDN. We demonstrated that RDN significantly suppressed intestinal KLF5 expression and that inhibiting intestinal expression of KLF5 exacerbated the gut microbiota and weakened the role of RDN in mitigating microbiota aberrations by impairing intestinal barrier function, resulting in an increase in bacteria harmful to cardiac function and a decrease in beneficial bacteria in HF rats following RDN. This study highlighted the important roles of intestinal KLF5 in modulating gut microbiota in HF and suggested that the influence of RDN on intestinal KLF5 was another possible role of RDN in HF besides downregulating the sympathetic nerve.
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Sun X, Wang M, Xu C, Wang S, Li L, Zou S, Yu J, Wei Y. Positive Effect of a Pea-Clam Two-Peptide Composite on Hypertension and Organ Protection in Spontaneously Hypertensive Rats. Nutrients 2022; 14:4069. [PMID: 36235721 PMCID: PMC9571109 DOI: 10.3390/nu14194069] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 09/24/2022] [Accepted: 09/27/2022] [Indexed: 11/07/2022] Open
Abstract
In the present study, we prepared pea peptides with high angiotensin-converting enzyme (ACE) inhibitory activity in vitro using an enzymatic hydrolysis of pea protein and compounded them with clam peptides to obtain a pea-clam double peptide. The effects of the two-peptide composite and pea peptides on hypertension and the damage-repair of corresponding organs were studied in spontaneously hypertensive rats (SHRs). We found that both pea peptides and the two-peptide composite significantly reduced the blood pressure upon a single or long-term intragastric administration, with the two-peptide composite being more effective. Mechanistically, we found that the two-peptide composite could regulate the renal renin-angiotensin system (RAS), rebalance gut microbial dysbiosis, decrease renal and myocardial fibrosis, and improve renal and cardiac function and vascular remodeling. Additionally, hippocampal lesions caused by hypertension were also eliminated after two-peptide composite administration. Our research provides a scientific basis for the use of this two-peptide composite as a safe antihypertension ingredient in functional foods.
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Affiliation(s)
- Xiaopeng Sun
- College of Life Sciences, Qingdao University, Qingdao 266071, China
| | - Min Wang
- Chenland Nutritionals, Inc., Invine, CA 92614, USA
| | - Chuanjin Xu
- The Affiliated Hospital of Medical College, Qingdao University, Qingdao 266071, China
| | | | - Li Li
- Chenland Nutritionals, Inc., Invine, CA 92614, USA
| | - Shengcan Zou
- Chenland Nutritionals, Inc., Invine, CA 92614, USA
| | - Jia Yu
- College of Life Sciences, Qingdao University, Qingdao 266071, China
| | - Yuxi Wei
- College of Life Sciences, Qingdao University, Qingdao 266071, China
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Ramos-Lopez O, Martinez JA, Milagro FI. Holistic Integration of Omics Tools for Precision Nutrition in Health and Disease. Nutrients 2022; 14:nu14194074. [PMID: 36235725 PMCID: PMC9572439 DOI: 10.3390/nu14194074] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 09/23/2022] [Accepted: 09/29/2022] [Indexed: 11/16/2022] Open
Abstract
The combination of multiple omics approaches has emerged as an innovative holistic scope to provide a more comprehensive view of the molecular and physiological events underlying human diseases (including obesity, dyslipidemias, fatty liver, insulin resistance, and inflammation), as well as for elucidating unique and specific metabolic phenotypes. These omics technologies include genomics (polymorphisms and other structural genetic variants), epigenomics (DNA methylation, histone modifications, long non-coding RNA, telomere length), metagenomics (gut microbiota composition, enterotypes), transcriptomics (RNA expression patterns), proteomics (protein quantities), and metabolomics (metabolite profiles), as well as interactions with dietary/nutritional factors. Although more evidence is still necessary, it is expected that the incorporation of integrative omics could be useful not only for risk prediction and early diagnosis but also for guiding tailored dietary treatments and prognosis schemes. Some challenges include ethical and regulatory issues, the lack of robust and reproducible results due to methodological aspects, the high cost of omics methodologies, and high-dimensional data analyses and interpretation. In this review, we provide examples of system biology studies using multi-omics methodologies to unravel novel insights into the mechanisms and pathways connecting the genotype to clinically relevant traits and therapy outcomes for precision nutrition applications in health and disease.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Mexico
- Correspondence:
| | - J. Alfredo Martinez
- Precision Nutrition and Cardiometabolic Health, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain
| | - Fermin I. Milagro
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
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Tong Y, Wang Q, Zhang J, Yang R. Orally Administered Xylo‐Oligosaccharides (XOS) Ameliorates Diarrhea Symptoms in Mice via Intestinal Barrier Improvement and Gut Microbiota Modulation. Mol Nutr Food Res 2022; 66:e2200171. [DOI: 10.1002/mnfr.202200171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 06/06/2022] [Indexed: 11/08/2022]
Affiliation(s)
- Yanjun Tong
- School of Food Science and Technology Jiangnan University Wuxi Jiangsu 214122 P. R. China
| | - Qinyue Wang
- Affiliated Hospital of Jiangnan University Wuxi Jiangsu 214041 P. R. China
| | - Jieyu Zhang
- School of Food Science and Technology Jiangnan University Wuxi Jiangsu 214122 P. R. China
| | - Ruijin Yang
- State Key Laboratory of Food Science and Technology Jiangnan University Wuxi Jiangsu 214122 P. R. China
- School of Food Science and Technology Jiangnan University Wuxi Jiangsu 214122 P. R. China
- Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province Jiangnan University Wuxi Jiangsu 214122 P. R. China
- International Joint Laboratory on Food Safety Jiangnan University Wuxi Jiangsu 214122 P. R. China
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Schipke J, Brandenberger C, Vital M, Mühlfeld C. Starch and Fiber Contents of Purified Control Diets Differentially Affect Hepatic Lipid Homeostasis and Gut Microbiota Composition. Front Nutr 2022; 9:915082. [PMID: 35873446 PMCID: PMC9301012 DOI: 10.3389/fnut.2022.915082] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 06/07/2022] [Indexed: 01/04/2023] Open
Abstract
Background Interpretation of results from diet-induced-obesity (DIO) studies critically depends on control conditions. Grain-based chows are optimized for rodent nutrition but do not match the defined composition of purified diets used for DIO, severely limiting the comparability. Purified control diets are recommended but often contain high starch and only minor fiber amounts. It is unknown whether this composition leads to metabolic alterations compared with chow and whether the addition of refined fibers at the expense of starch affects these changes. Methods In this experiment, 6-week-old C57BL/6N mice were fed (i) a conventional purified control diet (high-starch, low-fiber; Puri-starch), (ii) an alternative, custom-made purified control diet containing pectin and inulin (medium-starch, higher-fiber; Puri-fiber), or (iii) grain-based chow for 30 weeks (N = 8–10). Results Puri-starch feeding resulted in significantly elevated levels of plasma insulin (p = 0.004), cholesterol (p < 0.001), and transaminases (AST p = 0.002, ALT p = 0.001), hepatic de novo lipogenesis and liver steatosis, and an altered gut microbiota composition compared with chow-fed mice. In contrast, Puri-fiber exerted only minor effects on systemic parameters and liver lipid homeostasis, and promoted a distinct gut microbiota composition. Conclusion Carbohydrate-rich purified diets trigger a metabolic status possibly masking pathological effects of nutrients under study, restricting its use as control condition. The addition of refined fibers is suited to create purified, yet physiological control diets for DIO research.
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Affiliation(s)
- Julia Schipke
- Hannover Medical School, Institute of Functional and Applied Anatomy, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hannover, Germany
- *Correspondence: Julia Schipke
| | - Christina Brandenberger
- Hannover Medical School, Institute of Functional and Applied Anatomy, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hannover, Germany
| | - Marius Vital
- Hannover Medical School, Institute for Medical Microbiology and Hospital Epidemiology, Hannover, Germany
| | - Christian Mühlfeld
- Hannover Medical School, Institute of Functional and Applied Anatomy, Hannover, Germany
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hannover, Germany
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Effects of Lactobacillus curvatus HY7601 and Lactobacillus plantarum KY1032 on Overweight and the Gut Microbiota in Humans: Randomized, Double-Blinded, Placebo-Controlled Clinical Trial. Nutrients 2022; 14:nu14122484. [PMID: 35745214 PMCID: PMC9228474 DOI: 10.3390/nu14122484] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 12/22/2022] Open
Abstract
Obesity and overweight are closely related to diet, and the gut microbiota play an important role in body weight and human health. The aim of this study was to explore how Lactobacillus curvatus HY7601 and Lactobacillus plantarum KY1032 supplementation alleviate obesity by modulating the human gut microbiome. A randomized, double-blind, placebo-controlled study was conducted on 72 individuals with overweight. Over a 12-week period, probiotic groups consumed 1 × 1010 colony-forming units of HY7601 and KY1032, whereas the placebo group consumed the same product without probiotics. After treatment, the probiotic group displayed a reduction in body weight (p < 0.001), visceral fat mass (p < 0.025), and waist circumference (p < 0.007), and an increase in adiponectin (p < 0.046), compared with the placebo group. Additionally, HY7601 and KY1032 supplementation modulated bacterial gut microbiota characteristics and beta diversity by increasing Bifidobacteriaceae and Akkermansiaceae and decreasing Prevotellaceae and Selenomonadaceae. In summary, HY7601 and KY1032 probiotics exert anti-obesity effects by regulating the gut microbiota; hence, they have therapeutic potential for preventing or alleviating obesity and living with overweight.
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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: 3.7] [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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Aranaz P, Ramos-Lopez O, Cuevas-Sierra A, Martinez JA, Milagro FI, Riezu-Boj JI. A predictive regression model of the obesity-related inflammatory status based on gut microbiota composition. Int J Obes (Lond) 2021; 45:2261-2268. [PMID: 34267323 DOI: 10.1038/s41366-021-00904-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 05/28/2021] [Accepted: 06/23/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIM Fecal microbiome disturbances are linked to different human diseases. In the case of obesity, gut microbiota seems to play a role in the development of low-grade inflammation. The purpose of the present study was to identify specific bacterial families and genera associated with an increased obesity-related inflammatory status, which would allow to build a regression model for the prediction of the inflammatory status of obese and overweight subjects based on fecal microorganisms. METHODS A total of 361 volunteers from the Obekit trial (65 normal-weight, 110 overweight, and 186 obese) were classified according to four variables: waist/hip ratio (≥0.86 for women and ≥1.00 for men), leptin/adiponectin ratio (LAR, ≥3.0 for women and ≥1.4 for men), and plasma C-reactive protein (≥2 mg/L) and TNF levels (≥0.85 pg/mL). An inflammation score was designed to classify individuals in low (those subjects who did exceed the threshold value in 0 or 1 variable) or high inflammatory index (those subjects who did exceed the threshold value in 2 or more variables). Fecal 16 S rRNA sequencing was performed for all participants, and differential abundance analyses for family and genera were performed using the MicrobiomeAnalyst web-based platform. RESULTS Methanobacteriaceae, Christensenellaceae, Coriobacteriaceae, Bifidobacteriaceae, Catabacteriaceae, and Dehalobacteriaceae families, and Methanobrevibacter, Eggerthella, Gemmiger, Anaerostipes, and Collinsella genera were significantly overrepresented in subjects with low inflammatory index. Conversely, Carnobacteriaceae, Veillonellaceae, Pasteurellaceae, Prevotellaceae and Enterobacteriaceae families, and Granulicatella, Veillonella, Haemophilus, Dialister Parabacteroides, Prevotella, Shigella, and Allisonella genera were more abundant in subjects with a high inflammatory index. A regression model adjusted by BMI, sex, and age and including the families Coriobacteriaceae and Prevotellaceae and the genus Veillonella was developed. CONCLUSION A microbiota-based regression model was able to predict the obesity-related inflammatory status (area under the ROC curve = 0.8570 ± 0.0092 Harrell's optimism-correction) and could be useful in the precision management of inflammobesity.
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Affiliation(s)
- Paula Aranaz
- Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana, Baja California, Mexico
| | - Amanda Cuevas-Sierra
- Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Department of Nutrition, Food Science, and Physiology, University of Navarra, Pamplona, Spain
| | - J Alfredo Martinez
- Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain.,Department of Nutrition, Food Science, and Physiology, University of Navarra, Pamplona, Spain.,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Fermin I Milagro
- Center for Nutrition Research, University of Navarra, Pamplona, Spain. .,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain. .,Department of Nutrition, Food Science, and Physiology, University of Navarra, Pamplona, Spain. .,Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain.
| | - Jose I Riezu-Boj
- Center for Nutrition Research, University of Navarra, Pamplona, Spain.,Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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Cuevas-Sierra A, Milagro FI, Aranaz P, Martínez JA, Riezu-Boj JI. Gut Microbiota Differences According to Ultra-Processed Food Consumption in a Spanish Population. Nutrients 2021; 13:2710. [PMID: 34444870 PMCID: PMC8398738 DOI: 10.3390/nu13082710] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/04/2021] [Accepted: 08/04/2021] [Indexed: 01/02/2023] Open
Abstract
Ultra-processed foods (UPFs) consumption could affect gut microbiota diversity and profile. We aimed to evaluate the effects of UPFs on microbiota, considering the role of sex. The consumption of UPFs (using NOVA criteria) was assessed with a validated 137-item food-frequency questionnaire. Participants (n = 359) were classified into less than three servings per day (n = 96) of UPFs and more than five (n = 90). Women and men were subclassified following the same criteria. 16S rRNA sequencing was performed from DNA fecal samples, and differences in microbiota were analyzed using EdgeR. The relationship between UPFs and bacteria was assessed by Spearman correlation and comparison of tertiles of consumption. Women who consumed more than five servings/day of UPFs presented an increase in Acidaminococcus, Butyrivibrio, Gemmiger, Shigella, Anaerofilum, Parabacteroides, Bifidobacterium, Enterobacteriales, Bifidobacteriales and Actinobacteria and a decrease in Melainabacter and Lachnospira. Bifidobacterium, Bifidobacteriales and Actinobacteria was positively associated with pizza and Actinobacteria with industrially processed dairy in women. Men who consumed more than five servings/day presented an increase of Granulicatella, Blautia, Carnobacteriaceae, Bacteroidaceae, Peptostreptococcaceae, Bacteroidia and Bacteroidetes and a decrease of Anaerostipes and Clostridiaceae. Bacteroidia and Bacteroidetes correlated positively with industrially processed meat. This study suggests that UPFs may affect microbiota composition differently in women and men.
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Affiliation(s)
- Amanda Cuevas-Sierra
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain; (A.C.-S.); (J.A.M.); (J.I.R.-B.)
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain;
| | - Fermín I. Milagro
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain; (A.C.-S.); (J.A.M.); (J.I.R.-B.)
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain;
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - Paula Aranaz
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain;
| | - Jose Alfredo Martínez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain; (A.C.-S.); (J.A.M.); (J.I.R.-B.)
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Institute of Health Carlos III, 28029 Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
| | - José I. Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain; (A.C.-S.); (J.A.M.); (J.I.R.-B.)
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain
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Ramos-Lopez O, Milton-Laskibar I, Martínez JA. Precision nutrition based on phenotypical traits and the (epi)genotype: nutrigenetic and nutrigenomic approaches for obesity care. Curr Opin Clin Nutr Metab Care 2021; 24:315-325. [PMID: 33859118 DOI: 10.1097/mco.0000000000000754] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE OF REVIEW The purpose of this article is to rationally review and critically appraise the current knowledge in the most relevant nongenetic and genetic factors influencing obesity predisposition. This information may be translated into the implementation of personalized nutrition approaches involving precision nutrigenetic and nutrigenomic strategies for obesity monitoring and weight management. RECENT FINDINGS The importance and influence of several nongenetic contributors to obesity onset and individual responses to weight-loss interventions have been highlighted including the role of age, sex or perinatal feeding and others related to an individual's lifestyle and modifiable. Nutrigenetic studies have analysed potential interactions between polymorphisms influencing energy homeostasis/body composition and dietary factors in relation to adiposity phenotypes and therapy responsiveness. A second approach comprises the Nutrigenomic analysis of gene expression modifications in response to the consumption of specific nutrients or dietary bioactive compounds, which may involve epigenetic mechanisms including deoxyribonucleic acid methylation and micro-ribonucleic acid expression profiles. SUMMARY Taken together, these findings encompass the importance of taking into account up-to-date advances in Nutrigenetic and Nutrigenomic hallmarks, globally analysing the risk of weight gain and related outcomes after following nutrition counselling, this contributing to improve obesity care considering phenotypical traits and the genetic make-up for precision obesity care.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana, Baja California, Mexico
| | - Iñaki Milton-Laskibar
- Precision Nutrition and Cardiometabolic Health, IMDEA- Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM + CSIC, Spanish National Research Council
- CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Madrid
| | - J Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA- Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM + CSIC, Spanish National Research Council
- CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), Madrid
- Navarra Institute for Health Research (IdiSNa), Pamplona, Spain
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Perez-Diaz-del-Campo N, Riezu-Boj JI, Marin-Alejandre BA, Monreal JI, Elorz M, Herrero JI, Benito-Boillos A, Milagro FI, Tur JA, Abete I, Zulet MA, Martinez JA. Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study. Diagnostics (Basel) 2021; 11:1083. [PMID: 34199237 PMCID: PMC8231822 DOI: 10.3390/diagnostics11061083] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 06/03/2021] [Accepted: 06/11/2021] [Indexed: 12/20/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) affects 25% of the global population. The pathogenesis of NAFLD is complex; available data reveal that genetics and ascribed interactions with environmental factors may play an important role in the development of this morbid condition. The purpose of this investigation was to assess genetic and non-genetic determinants putatively involved in the onset and progression of NAFLD after a 6-month weight loss nutritional treatment. A group of 86 overweight/obese subjects with NAFLD from the Fatty Liver in Obesity (FLiO) study were enrolled and metabolically evaluated at baseline and after 6 months. A pre-designed panel of 95 genetic variants related to obesity and weight loss was applied and analyzed. Three genetic risk scores (GRS) concerning the improvement on hepatic health evaluated by minimally invasive methods such as the fatty liver index (FLI) (GRSFLI), lipidomic-OWLiver®-test (GRSOWL) and magnetic resonance imaging (MRI) (GRSMRI), were derived by adding the risk alleles genotypes. Body composition, liver injury-related markers and dietary intake were also monitored. Overall, 23 SNPs were independently associated with the change in FLI, 16 SNPs with OWLiver®-test and 8 SNPs with MRI, which were specific for every diagnosis tool. After adjusting for gender, age and other related predictors (insulin resistance, inflammatory biomarkers and dietary intake at baseline) the calculated GRSFLI, GRSOWL and GRSMRI were major contributors of the improvement in hepatic status. Thus, fitted linear regression models showed a variance of 53% (adj. R2 = 0.53) in hepatic functionality (FLI), 16% (adj. R2 = 0.16) in lipidomic metabolism (OWLiver®-test) and 34% (adj. R2 = 0.34) in liver fat content (MRI). These results demonstrate that three different genetic scores can be useful for the personalized management of NAFLD, whose treatment must rely on specific dietary recommendations guided by the measurement of specific genetic biomarkers.
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Affiliation(s)
- Nuria Perez-Diaz-del-Campo
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
| | - Jose I. Riezu-Boj
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
| | - Bertha Araceli Marin-Alejandre
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
| | - J. Ignacio Monreal
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Clinical Chemistry Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Mariana Elorz
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - José Ignacio Herrero
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Liver Unit, Clinica Universidad de Navarra, 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
| | - Alberto Benito-Boillos
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Department of Radiology, Clínica Universidad de Navarra, 31008 Pamplona, Spain
| | - Fermín I. Milagro
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - Josep A. Tur
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Research Group on Community Nutrition and Oxidative Stress, Balearic Islands Institute for Health Research (IDISBA), University of Balearic Islands-IUNICS, 07122 Palma, Spain
| | - Itziar Abete
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - M. Angeles Zulet
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
| | - J. Alfredo Martinez
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (N.P.-D.-d.-C.); (B.A.M.-A.); (F.I.M.); (M.A.Z.); (J.A.M.)
- Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdiSNA), 31008 Pamplona, Spain; (J.I.M.); (M.E.); (J.I.H.); (A.B.-B.)
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain;
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Garcia-Ibañez P, Roses C, Agudelo A, Milagro FI, Barceló AM, Viadel B, Nieto JA, Moreno DA, Carvajal M. The Influence of Red Cabbage Extract Nanoencapsulated with Brassica Plasma Membrane Vesicles on the Gut Microbiome of Obese Volunteers. Foods 2021; 10:foods10051038. [PMID: 34068672 PMCID: PMC8151636 DOI: 10.3390/foods10051038] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 04/30/2021] [Accepted: 05/07/2021] [Indexed: 12/28/2022] Open
Abstract
The aim of the study was to evaluate the influence of the red cabbage extracts on the bioaccessibility of their isothiocyanates, and their effect on the intestinal microbiota using a dynamic model of human digestion treated with the gut microbiome of obese adults. The elicitation of red cabbage plants with methyl jasmonate (MeJA) duplicated the content of glucosinolates (GSLs) in the plant organs used for elaborating the encapsulated formula. The use of plasma membrane vesicles, according to a proper methodology and technology, showed a high retention of sulforaphane (SFN) and indol-3-carbinol (I3C) over the course of the 14-day digestion study. The microbiome was scarcely affected by the treatments in terms of microbiota composition or the Bacteroidetes/Firmicutes ratio, but a 3 to 4-fold increase was observed in the production of butyric acid with the encapsulated extract treatment. Based on our pilot red cabbage extract study, the consumption of this extract, mainly encapsulated, may play a potential role in the management of obesity in adults.
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Affiliation(s)
- Paula Garcia-Ibañez
- Aquaporins Group, Centro de Edafología y Biología Aplicada del Segura, CEBAS-CSIC, Campus Universitario de Espinardo-25, E-30100 Murcia, Spain; (P.G.-I.); (M.C.)
- Phytochemistry and Healthy Foods Lab, Department of Food Science Technology, Centro de Edafología y Biología Aplicada del Segura, CEBAS-CSIC, Campus de Espinardo-25, E-30100 Murcia, Spain
| | - Carles Roses
- Servei de Genòmica I Bioinformàtica, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain; (C.R.); (A.M.B.)
| | - Agatha Agudelo
- Sakata Seed Ibérica S.L., Pl. Poeta Vicente Gaos, 6 Bajo, 46021 Valencia, Spain;
- Biotechnology Department, Universidad Politécnica de Valencia, UPV, Camino de Vera s/n, 46022 Valencia, Spain
| | - Fermin I. Milagro
- Center for Nutrition Research, Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain;
- Navarra Institute for Health Research (IdISNA), 31008 Pamplona, Spain
- Centro de Investigación Biomédica en Red de la Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de la Salud Carlos III, 289029 Madrid, Spain
| | - Ana M. Barceló
- Servei de Genòmica I Bioinformàtica, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain; (C.R.); (A.M.B.)
| | - Blanca Viadel
- AINIA, Technology Centre, C/Benjamin Franklin 5-11, Parque Tecnológico de Valencia, 46980 Paterna, Valencia, Spain; (B.V.); (J.A.N.)
| | - Juan Antonio Nieto
- AINIA, Technology Centre, C/Benjamin Franklin 5-11, Parque Tecnológico de Valencia, 46980 Paterna, Valencia, Spain; (B.V.); (J.A.N.)
| | - Diego A. Moreno
- Phytochemistry and Healthy Foods Lab, Department of Food Science Technology, Centro de Edafología y Biología Aplicada del Segura, CEBAS-CSIC, Campus de Espinardo-25, E-30100 Murcia, Spain
- Correspondence:
| | - Micaela Carvajal
- Aquaporins Group, Centro de Edafología y Biología Aplicada del Segura, CEBAS-CSIC, Campus Universitario de Espinardo-25, E-30100 Murcia, Spain; (P.G.-I.); (M.C.)
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Diet- and sex-related changes of gut microbiota composition and functional profiles after 4 months of weight loss intervention. Eur J Nutr 2021; 60:3279-3301. [PMID: 33591390 DOI: 10.1007/s00394-021-02508-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 02/02/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE Obesity has been related to intestinal dysbiosis and the modification of gut microbiota composition by dietary strategies becomes a promising strategy to help manage obesity. The aim of the current study was to evaluate the effect of two weight-loss diets on the composition and functional profile of gut microbiota. METHODS 55 men and 124 women with BMI > 25 kg/m2 were randomly assigned to moderately high-protein (MHP) or low-fat (LF) diet. Differences in fecal bacteria abundance (based on 16 s rRNA sequencing) between before and after 4 months of calorie restriction was analyzed using EdgeR tool in MicrobiomeAnalyst platform. Bacterial functional profile was predicted using Tax4Fun and metagenomeSeq analysis. Significant KEGG Orthology (KO) terms were selected for the metabolomic study using chromatography. RESULTS After the intervention, MHP-men showed a significant decrease in Negativicutes, Selenomonadales, Dielma and Dielma fastidiosa. LF-men showed a significant increase in Bacilli, Lactobacillales, Christensenellaceae, Peptococcaceae, and Streptococcaceae, Peptococcus, Streptococcus and Christensenella, Duncaniella dubosii_CP039396_93.49%, Roseburia sp_AB744234_98.96% and Alistipes inops_KJ572413_99.57%. MHP-women increased Pasteurellales, Phascolarctobacterium succinatutens, Ruthenibacterium lactatiformans_LR215981_99.55% and decreased in Phascolarctobacterium succinatutens_NR112902_99.56%. Finally, LF-women presented a significant decrease in Bacteroides clarus and Erysipelothrix inopinata_CP060715_84.4%. Surprisingly, no matching bacterial changes were found between these four groups. A total of 42 KO, 10 metabolic pathways and 107 related metabolites related were found implicated in these bacterial changes. Seven metabolites were confirmed in plasma. CONCLUSION Weight-loss-related-changes in gut microbiome composition and the functional profile occur in a sex- and diet-related manner, showing that women and men could differentially benefit from the consumption of MHP and LF diets. TRIAL REGISTRATION NCT02737267, 10th March 2016 retrospectively registered.
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