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Chen H, Yang G, Chen L, Zhao Y, Yao P, Li Y, Tang Y, Li D. Dietary polyunsaturated fatty acids intake is negatively associated with hyperuricemia: The National Health and Nutrition Examination Survey 2003-2015. Nutr Metab Cardiovasc Dis 2024; 34:2203-2216. [PMID: 39003131 DOI: 10.1016/j.numecd.2024.05.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 04/29/2024] [Accepted: 05/30/2024] [Indexed: 07/15/2024]
Abstract
BACKGROUND AND AIMS The objective of this research was to explore the associations between dietary PUFAs intake and hyperuricemia risk. METHODS AND RESULTS Based on the National Health and Nutrition Examination Survey (NHANES) 2003-2015, all eligible individuals were divided into hyperuricemia and non-hyperuricemia groups based on diagnostic criteria for hyperuricemia (serum uric acid >420 μmol/L for men and >360 μmol/L for women). Multivariate-adjusted logistic regression was employed to explore the relationship between dietary PUFAs intake and hyperuricemia risk. Total PUFAs and their subtypes were modeled to isocalorically replace saturated fatty acids (SFAs) and monounsaturated fatty acids (MUFAs). Higher intake of n-3 PUFAs, n-6 PUFAs, linoleic acid (LA), alpha-linoleic acid (ALA), and non-marine PUFAs intake correlated with decreased hyperuricemia risk, with adjusted odds ratio (OR) and 95% confidence interval (95%CIs) were 0.77 (0.63, 0.93), 0.75 (0.61, 0.92), 0.75 (0.61, 0.91), 0.69 (0.55, 0.87), and 0.73 (0.59, 0.91), respectively. Replacing 5% of total energy intake from SFAs with isocaloric PUFAs was associated with decreased odds of hyperuricemia in men (0.69 (0.57, 0.84)) and in individuals (0.81 (0.71, 0.92)). Similar trends were observed in the substitution of SFAs with non-marine PUFAs in men (0.87 (0.80, 0.94)) and in all individuals (0.92 (0.88, 0.98)). Sensitivity analyses exhibited consistent results with primary analyses. CONCLUSION Higher dietary intake of n-3 PUFAs, n-6 PUFAs, LA, ALA, and non-marine PUFAs was associated with decreased hyperuricemia risk. These results support the recommendation to substitute SFAs with PUFAs in diet.
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Affiliation(s)
- Huimin Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guang Yang
- Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, Wuhan 430030, China
| | - Li Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ying Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Yao
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, Wuhan 430030, China; State Environmental Protection Key Laboratory of Health Effects of Environmental Pollution, China; State Key Laboratory of Environment Health (Incubation), Wuhan 430030, China; Hubei Key Laboratory of Food Nutrition and Safety, Wuhan 430030, China
| | - Yanyan Li
- Shenzhen Center for Chronic Disease Control, 2021 Buxin Road, Shenzhen 518020, China
| | - Yuhan Tang
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Key Laboratory of Environment & Health (Huazhong University of Science and Technology), Ministry of Education, Wuhan 430030, China; State Environmental Protection Key Laboratory of Health Effects of Environmental Pollution, China; State Key Laboratory of Environment Health (Incubation), Wuhan 430030, China; Hubei Key Laboratory of Food Nutrition and Safety, Wuhan 430030, China.
| | - Dongyan Li
- Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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Shi Y, Kan J, Wang W, Cao Y, Wu Y, Chen X, Zheng W, Yang F, Du J, He W, Zhu S. Nut consumption, gut microbiota, and body fat distribution: results of a large, community-based population study. Obesity (Silver Spring) 2024. [PMID: 39041418 DOI: 10.1002/oby.24099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 05/25/2024] [Accepted: 05/27/2024] [Indexed: 07/24/2024]
Abstract
OBJECTIVE We aimed to investigate the relationships among nut consumption, gut microbiota, and body fat distribution. METHODS We studied 2255 Chinese adults in the Lanxi Cohort living in urban areas in Lanxi City, China. Fat distribution was assessed by dual-energy x-ray absorptiometry, and nut consumption was assessed using food frequency questionnaires. 16S ribosomal RNA (rRNA) sequencing was performed on stool samples from 1724 participants. Linear regression and Spearman correlation were used in all analyses. A validation study was performed using 1274 participants in the Lanxi Cohort living in rural areas. RESULTS Nut consumption was beneficially associated with regional fat accumulation. Gut microbial analysis suggested that a high intake of nuts was associated with greater microbial α diversity. Six genera were found to be associated with nut consumption, and the abundance of genera Anaerobutyricum, Anaerotaenia, and Fusobacterium was significantly associated with fat distribution. Favorable relationships between α diversity and fat distribution were also observed. Similar relationships between gut microbiota and fat distribution were obtained in the validation analysis. CONCLUSIONS We have shown that nut consumption is beneficially associated with body fat distribution and gut microbiota diversity and taxonomy. Furthermore, the microbial features related to high nut intake are associated with a favorable pattern of fat distribution.
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Affiliation(s)
- Yuwei Shi
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
| | - Juntao Kan
- Nutrilite Health Institute, Shanghai, China
| | - Wenjie Wang
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
| | - Yiyang Cao
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
| | - Yimian Wu
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
| | - Xinyu Chen
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
| | - Weifang Zheng
- Lanxi Hospital of Traditional Chinese Medicine, Zhejiang, China
| | - Fei Yang
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
| | - Jun Du
- Nutrilite Health Institute, Shanghai, China
| | - Wei He
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
| | - Shankuan Zhu
- Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Zhejiang, China
- Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University, Zhejiang, China
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Chen S, Chen XY, Huang ZH, Fang AP, Li SY, Huang RZ, Chen YM, Huang BX, Zhu HL. Correlation between serum trimethylamine-N-oxide and body fat distribution in middle-aged and older adults: a prospective cohort study. Nutr J 2024; 23:70. [PMID: 38982486 PMCID: PMC11234726 DOI: 10.1186/s12937-024-00974-w] [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: 01/28/2024] [Accepted: 06/28/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND Trimethylamine-N-oxide (TMAO) is linked with obesity, while limited evidence on its relationship with body fat distribution. Herein, we investigated the associations between serum TMAO and longitudinal change of fat distribution in this prospective cohort study. METHODS Data of 1964 participants (40-75y old) from Guangzhou Nutrition and Health Study (GNHS) during 2008-2014 was analyzed. Serum TMAO concentration was quantified by HPLC-MS/MS at baseline. The body composition was assessed by dual-energy X-ray absorptiometry at each 3-y follow-up. Fat distribution parameters were fat-to-lean mass ratio (FLR) and trunk-to-leg fat ratio (TLR). Fat distribution changes were derived from the coefficient of linear regression between their parameters and follow-up duration. RESULTS After an average of 6.2-y follow-up, analysis of covariance (ANCOVA) and linear regression displayed women with higher serum TMAO level had greater increments in trunk FLR (mean ± SD: 1.47 ± 4.39, P-trend = 0.006) and TLR (mean ± SD: 0.06 ± 0.24, P-trend = 0.011). Meanwhile, for women in the highest TMAO tertile, linear mixed-effects model (LMEM) analysis demonstrated the annual estimated increments (95% CI) were 0.03 (95% CI: 0.003 - 0.06, P = 0.032) in trunk FLR and 1.28 (95% CI: -0.17 - 2.73, P = 0.083) in TLR, respectively. In men, there were no similar significant observations. Sensitivity analysis yielded consistent results. CONCLUSION Serum TMAO displayed a more profound correlation with increment of FLR and TLR in middle-aged and older community-dwelling women in current study. More and further studies are still warranted in the future. TRIAL REGISTRATION NCT03179657.
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Affiliation(s)
- Si Chen
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China
| | - Xiao-Yan Chen
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China
| | - Zi-Hui Huang
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China
| | - Ai-Ping Fang
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China
| | - Shu-Yi Li
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China
| | - Rong-Zhu Huang
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China
| | - Yu-Ming Chen
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Bi-Xia Huang
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China.
| | - Hui-Lian Zhu
- Department of Nutrition, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-Sen University, 74 Zhongshan II Road, Guangzhou, 510080, PR China.
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He JL, Zhao YW, Yang JL, Ju JM, Ye BQ, Huang JY, Huang ZH, Zhao WY, Zeng WF, Xia M, Liu Y. Enhanced interactions among gut mycobiomes with the deterioration of glycemic control. MED 2024:S2666-6340(24)00135-1. [PMID: 38670112 DOI: 10.1016/j.medj.2024.03.023] [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: 11/23/2023] [Revised: 02/06/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND The gut mycobiome is closely linked to health and disease; however, its role in the progression of type 2 diabetes mellitus (T2DM) remains obscure. Here, a multi-omics approach was employed to explore the role of intestinal fungi in the deterioration of glycemic control. METHODS 350 participants without hypoglycemic therapies were invited for a standard oral glucose tolerance test to determine their status of glycemic control. The gut mycobiome was identified through internal transcribed spacer sequencing, host genetics were determined by genotyping array, and plasma metabolites were measured with untargeted liquid chromatography mass spectrometry. FINDINGS The richness of fungi was higher, whereas its dissimilarity was markedly lower, in participants with T2DM. Moreover, the diversity and composition of fungi were closely associated with insulin sensitivity and pancreatic β-cell functions. With the exacerbation of glycemic control, the co-occurrence network among fungus taxa became increasingly complex, and the complexity of the interaction network was inversely associated with insulin sensitivity. Mendelian randomization analysis further demonstrated that the Archaeorhizomycetes class, Fusarium genus, and Neoascochyta genus were causally linked to impaired glucose metabolism. Furthermore, integrative analysis with metabolomics showed that increased 4-hydroxy-2-oxoglutaric acid, ketoleucine, lysophosphatidylcholine (20:3/0:0), and N-lactoyl-phenylalanine, but decreased lysophosphatidylcholine (O-18:2), functioned as key molecules linking the adverse effect of Fusarium genus on insulin sensitivity. CONCLUSIONS Our study uncovers a strong association between disturbance in gut fungi and the progression of T2DM and highlights the potential of targeting the gut mycobiome for the management of T2DM. FUNDINGS This study was supported by MOST and NSFC of China.
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Affiliation(s)
- Jia-Lin He
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Ya-Wen Zhao
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Jia-Lu Yang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Jing-Meng Ju
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Bing-Qi Ye
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Jing-Yi Huang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Zhi-Hao Huang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Wan-Ying Zhao
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Wei-Feng Zeng
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China
| | - Min Xia
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China.
| | - Yan Liu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, and Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, P.R. China.
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Zhang T, Liu J, Liu X, Wang Q, Zhang H. The causal impact of gut microbiota on circulating adipokine concentrations: a two-sample Mendelian randomization study. Hormones (Athens) 2024:10.1007/s42000-024-00553-y. [PMID: 38564143 DOI: 10.1007/s42000-024-00553-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/19/2024] [Indexed: 04/04/2024]
Abstract
PURPOSE Evidence from previous experimental and observational research demonstrates that the gut microbiota is related to circulating adipokine concentrations. Nevertheless, the debate as to whether gut microbiome composition causally influences circulating adipokine concentrations remains unresolved. This study aimed to take an essential step in elucidating this issue. METHODS We used two-sample Mendelian randomization (MR) to causally analyze genetic variation statistics for gut microbiota and four adipokines (including adiponectin, leptin, soluble leptin receptor [sOB-R], and plasminogen activator inhibitor-1 [PAI-1]) from large-scale genome-wide association studies (GWAS) datasets. A range of sensitivity analyses was also conducted to assess the stability and reliability of the results. RESULTS The composite results of the MR and sensitivity analyses revealed 22 significant causal associations. In particular, there is a suggestive causality between the family Clostridiaceae1 (IVW: β = 0.063, P = 0.034), the genus Butyrivibrio (IVW: β = 0.029, P = 0.031), and the family Alcaligenaceae (IVW: β=-0.070, P = 0.014) and adiponectin. Stronger causal effects with leptin were found for the genus Enterorhabdus (IVW: β=-0.073, P = 0.038) and the genus Lachnospiraceae (NK4A136 group) (IVW: β=-0.076, P = 0.01). Eight candidate bacterial groups were found to be associated with sOB-R, with the phylum Firmicutes (IVW: β = 0.235, P = 0.03) and the order Clostridiales (IVW: β = 0.267, P = 0.028) being of more interest. In addition, the genus Roseburia (IVW: β = 0.953, P = 0.022) and the order Lactobacillales (IVW: β=-0.806, P = 0.042) were suggestive of an association with PAI-1. CONCLUSION This study reveals a causal relationship between the gut microbiota and circulating adipokines and may help to offer novel insights into the prevention of abnormal concentrations of circulating adipokines and obesity-related diseases.
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Affiliation(s)
- Tongxin Zhang
- Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, Shandong, China
| | - Jingyu Liu
- Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, Shandong, China
| | - Xiao Liu
- Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, Shandong, China
| | - Qian Wang
- Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, Shandong, China.
| | - Huawei Zhang
- Department of Ultrasound, Shandong Provincial Hospital, Shandong First Medical University, Jinan, Shandong, China.
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Cai X, Xue Z, Zeng FF, Tang J, Yue L, Wang B, Ge W, Xie Y, Miao Z, Gou W, Fu Y, Li S, Gao J, Shuai M, Zhang K, Xu F, Tian Y, Xiang N, Zhou Y, Shan PF, Zhu Y, Chen YM, Zheng JS, Guo T. Population serum proteomics uncovers a prognostic protein classifier for metabolic syndrome. Cell Rep Med 2023; 4:101172. [PMID: 37652016 PMCID: PMC10518601 DOI: 10.1016/j.xcrm.2023.101172] [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: 10/12/2022] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 09/02/2023]
Abstract
Metabolic syndrome (MetS) is a complex metabolic disorder with a global prevalence of 20%-25%. Early identification and intervention would help minimize the global burden on healthcare systems. Here, we measured over 400 proteins from ∼20,000 proteomes using data-independent acquisition mass spectrometry for 7,890 serum samples from a longitudinal cohort of 3,840 participants with two follow-up time points over 10 years. We then built a machine-learning model for predicting the risk of developing MetS within 10 years. Our model, composed of 11 proteins and the age of the individuals, achieved an area under the curve of 0.774 in the validation cohort (n = 242). Using linear mixed models, we found that apolipoproteins, immune-related proteins, and coagulation-related proteins best correlated with MetS development. This population-scale proteomics study broadens our understanding of MetS and may guide the development of prevention and targeted therapies for MetS.
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Affiliation(s)
- Xue Cai
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Zhangzhi Xue
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China
| | - Fang-Fang Zeng
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510080, China
| | - Jun Tang
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Liang Yue
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Bo Wang
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1 Yunmeng Road, Cloud Town, Xihu District, Hangzhou, Zhejiang 310024, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1 Yunmeng Road, Cloud Town, Xihu District, Hangzhou, Zhejiang 310024, China
| | - Yuting Xie
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Zelei Miao
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Wanglong Gou
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Yuanqing Fu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Sainan Li
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Jinlong Gao
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Menglei Shuai
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Ke Zhang
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Fengzhe Xu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Yunyi Tian
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China
| | - Nan Xiang
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1 Yunmeng Road, Cloud Town, Xihu District, Hangzhou, Zhejiang 310024, China
| | - Yan Zhou
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China
| | - Peng-Fei Shan
- Department of Endocrinology, the Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, Zhejiang 310009, China
| | - Yi Zhu
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China.
| | - Yu-Ming Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| | - Ju-Sheng Zheng
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China.
| | - Tiannan Guo
- Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang 310024, China; School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang 310024, China; Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China.
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Li H, Li C. Causal relationship between gut microbiota and type 2 diabetes: a two-sample Mendelian randomization study. Front Microbiol 2023; 14:1184734. [PMID: 37692402 PMCID: PMC10483233 DOI: 10.3389/fmicb.2023.1184734] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 08/01/2023] [Indexed: 09/12/2023] Open
Abstract
Background Studies showed that development of gut microbial dysbiosis has a close association with type 2 diabetes (T2D). It is not yet clear if there is a causal relationship between gut microbiota and T2D. Methods The data collected from the published genome-wide association studies (GWASs) on gut microbiota and T2D were analyzed. Two-sample Mendelian randomization (MR) analyses were performed to identify causal relationship between bacterial taxa and T2D. Significant bacterial taxa were further analyzed. To confirm the findings' robustness, we performed sensitivity, heterogeneity, and pleiotropy analyses. A reverse MR analysis was also performed to check for potential reverse causation. Results By combining the findings of all the MR steps, we identified six causal bacterial taxa, namely, Lachnoclostridium, Oscillospira, Roseburia, Ruminococcaceae UCG003, Ruminococcaceae UCG010 and Streptococcus. The risk of T2D might be positively associated with a high relative abundance of Lachnoclostridium, Roseburia and Streptococcus but negatively associated with Oscillospira, Ruminococcaceae UCG003 and Ruminococcaceae UCG010. The results of MR analyses revealed that there were causal relationships between the six different genera and T2D. And the reverse MR analysis did not reveal any evidence of a reverse causality. Conclusion This study implied that Lachnoclostridium, Roseburia and Streptococcus might have anti-protective effect on T2D, whereas Oscillospira, Ruminococcaceae UCG003 and Ruminococcaceae UCG010 genera might have protective effect on T2D. Our study revealed that there was a causal relationship between specific gut microbiota genera and T2D.
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Affiliation(s)
- Hanjing Li
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
| | - Candong Li
- College of Traditional Chinese Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China
- Key Laboratory of Traditional Chinese Medicine Health Status Identification, Fuzhou, Fujian, China
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Jadhav A, Bajaj A, Xiao Y, Markandey M, Ahuja V, Kashyap PC. Role of Diet-Microbiome Interaction in Gastrointestinal Disorders and Strategies to Modulate Them with Microbiome-Targeted Therapies. Annu Rev Nutr 2023; 43:355-383. [PMID: 37380178 PMCID: PMC10577587 DOI: 10.1146/annurev-nutr-061121-094908] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Diet is an important determinant of health and consequently is often implicated in the development of disease, particularly gastrointestinal (GI) diseases, given the high prevalence of meal-related symptoms. The mechanisms underlying diet-driven pathophysiology are not well understood, but recent studies suggest that gut microbiota may mediate the effect of diet on GI physiology. In this review, we focus primarily on two distinct GI diseases where the role of diet has been best studied: irritable bowel syndrome and inflammatory bowel disease. We discuss how the concurrent and sequential utilization of dietary nutrients by the host and gut microbiota determines the eventual bioactive metabolite profiles in the gut and the biological effect of these metabolites on GI physiology. We highlight several concepts that can be gleaned from these findings, such as how distinct effects of an individual metabolite can influence diverse GI diseases, the effect of similar dietary interventions on multiple disease states, and the need for extensive phenotyping and data collection to help make personalized diet recommendations.
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Affiliation(s)
- Ajita Jadhav
- Enteric Neuroscience Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA;
| | - Aditya Bajaj
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India;
| | - Yang Xiao
- Enteric Neuroscience Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA;
| | - Manasvini Markandey
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India;
| | - Vineet Ahuja
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India;
| | - Purna C Kashyap
- Enteric Neuroscience Program, Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA;
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Lin HR, Xu F, Chen D, Xie K, Yang Y, Hu W, Li BY, Jiang Z, Liang Y, Tang XY, Zheng JS, Chen YM. The gut microbiota-bile acid axis mediates the beneficial associations between plasma vitamin D and metabolic syndrome in Chinese adults: A prospective study. Clin Nutr 2023; 42:887-898. [PMID: 37086617 DOI: 10.1016/j.clnu.2023.03.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/28/2023] [Accepted: 03/29/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND & AIMS Previous studies have suggested that circulating 25-hydroxyvitamin D (25 [OH]D, VD) and the gut microbiota-bile acid axis play crucial roles in metabolic health. Exploring the mediating role of the gut microbiota-bile acid axis would improve our understanding of the mechanisms underlying the effects of VD on human metabolic health. This study examined the association between plasma 25(OH)D and the prevalence/incidence of metabolic syndrome (MetS) and the mediating role of the gut microbiota-bile acid axis. METHODS This prospective study included 3180 participants with plasma 25(OH)D data at baseline and 2966 participants with a 9-year follow-up. MetS was determined every three years. The gut microbiota was analyzed by 16S rRNA sequencing in 1752 participants, and targeted bile acid metabolites in feces were further determined in 974 participants using UPLC‒MS/MS at the middle of the study. Mediating roles of microbiota and bile acids in the VD-MetS associations were analyzed using mediation/path analyses adjusted for potential confounders. RESULTS Among the 2966 participants who were followed-up, 1520, 193, 647, and 606 were MetS-free (normal), recovered, had incident MetS, and had persistent MetS, respectively. The multivariable-adjusted ORs (95% CIs) of MetS prevalence were 0.65 (0.50, 0.84) for baseline MetS and 0.46 (0.33, 0.65) for 9-year persistent MetS in quartile 4 (compared to quartile 1) of plasma 25(OH)D (median: 37.7 vs. 19.6, ng/ml). The corresponding HR (95% CI) of 9-year MetS incidence was 0.71 (0.56, 0.90) (all P-trend < 0.05). Higher VD concentrations were associated with greater α-diversity of the gut microbiota, which was inversely correlated with MetS risk. The groups classified by VD and MetS status had significantly different β-diversity. Ruminiclostridium-6 and Christensenellaceae R-7 group were enriched in the high-VD group and were inversely associated with MetS. However, opposite associations were observed for Lachnoclostridium and Acidaminococcus. The overlapping differential microbial score (ODMS) developed from the four differential genera explained 12.2% of the VD-MetS associations (Pmediation = 0.015). Furthermore, the fecal bile acid score created from 11 differential bile acids related to ODMS and MetS mediated 34.2% of the association between ODMS and MetS (Pmediation = 0.029). Path analyses showed that the inverse association between plasma 25(OH)D and MetS could be mediated by the gut microbiota-bile acid axis. CONCLUSIONS The findings suggest that the gut microbiota-bile acid axis partially mediates the beneficial association between plasma 25(OH)D and the risk of persistent MetS and incident MetS in the Chinese population.
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Affiliation(s)
- Hong-Rou Lin
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Fengzhe Xu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
| | - Danyu Chen
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Keliang Xie
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Yingdi Yang
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Wei Hu
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Bang-Yan Li
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China
| | - Zengliang Jiang
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
| | - Yuhui Liang
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China
| | - Xin-Yi Tang
- The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
| | - Ju-Sheng Zheng
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China.
| | - Yu-Ming Chen
- Department of Epidemiology, Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou 510275, China.
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Ağagündüz D, Icer MA, Yesildemir O, Koçak T, Kocyigit E, Capasso R. The roles of dietary lipids and lipidomics in gut-brain axis in type 2 diabetes mellitus. J Transl Med 2023; 21:240. [PMID: 37009872 PMCID: PMC10068184 DOI: 10.1186/s12967-023-04088-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 03/25/2023] [Indexed: 04/04/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM), one of the main types of Noncommunicable diseases (NCDs), is a systemic inflammatory disease characterized by dysfunctional pancreatic β-cells and/or peripheral insulin resistance, resulting in impaired glucose and lipid metabolism. Genetic, metabolic, multiple lifestyle, and sociodemographic factors are known as related to high T2DM risk. Dietary lipids and lipid metabolism are significant metabolic modulators in T2DM and T2DM-related complications. Besides, accumulated evidence suggests that altered gut microbiota which plays an important role in the metabolic health of the host contributes significantly to T2DM involving impaired or improved glucose and lipid metabolism. At this point, dietary lipids may affect host physiology and health via interaction with the gut microbiota. Besides, increasing evidence in the literature suggests that lipidomics as novel parameters detected with holistic analytical techniques have important roles in the pathogenesis and progression of T2DM, through various mechanisms of action including gut-brain axis modulation. A better understanding of the roles of some nutrients and lipidomics in T2DM through gut microbiota interactions will help develop new strategies for the prevention and treatment of T2DM. However, this issue has not yet been entirely discussed in the literature. The present review provides up-to-date knowledge on the roles of dietary lipids and lipidomics in gut-brain axis in T2DM and some nutritional strategies in T2DM considering lipids- lipidomics and gut microbiota interactions are given.
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Affiliation(s)
- Duygu Ağagündüz
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gazi University, 06490, Ankara, Turkey.
| | - Mehmet Arif Icer
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Amasya University, 05100, Amasya, Turkey
| | - Ozge Yesildemir
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Bursa Uludag University, 16059, Bursa, Turkey
| | - Tevfik Koçak
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gazi University, 06490, Ankara, Turkey
| | - Emine Kocyigit
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Ordu University, 52200, Ordu, Turkey
| | - Raffaele Capasso
- Department of Agricultural Sciences, University of Naples Federico II, Portici, 80055, Naples, Italy.
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Fatty Acid Profile and Genetic Variants of Proteins Involved in Fatty Acid Metabolism Could Be Considered as Disease Predictor. Diagnostics (Basel) 2023; 13:diagnostics13050979. [PMID: 36900123 PMCID: PMC10001328 DOI: 10.3390/diagnostics13050979] [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: 11/22/2022] [Revised: 02/22/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
Circulating fatty acids (FA) have an endogenous or exogenous origin and are metabolized under the effect of many enzymes. They play crucial roles in many mechanisms: cell signaling, modulation of gene expression, etc., which leads to the hypothesis that their perturbation could be the cause of disease development. FA in erythrocytes and plasma rather than dietary FA could be used as a biomarker for many diseases. Cardiovascular disease was associated with elevated trans FA and decreased DHA and EPA. Increased arachidonic acid and decreased Docosahexaenoic Acids (DHA) were associated with Alzheimer's disease. Low Arachidonic acid and DHA are associated with neonatal morbidities and mortality. Decreased saturated fatty acids (SFA), increased monounsaturated FA (MUFA) and polyunsaturated FA (PUFA) (C18:2 n-6 and C20:3 n-6) are associated with cancer. Additionally, genetic polymorphisms in genes coding for enzymes implicated in FA metabolism are associated with disease development. FA desaturase (FADS1 and FADS2) polymorphisms are associated with Alzheimer's disease, Acute Coronary Syndrome, Autism spectrum disorder and obesity. Polymorphisms in FA elongase (ELOVL2) are associated with Alzheimer's disease, Autism spectrum disorder and obesity. FA-binding protein polymorphism is associated with dyslipidemia, type 2 diabetes, metabolic syndrome, obesity, hypertension, non-alcoholic fatty liver disease, peripheral atherosclerosis combined with type 2 diabetes and polycystic ovary syndrome. Acetyl-coenzyme A carboxylase polymorphisms are associated with diabetes, obesity and diabetic nephropathy. FA profile and genetic variants of proteins implicated in FA metabolism could be considered as disease biomarkers and may help with the prevention and management of diseases.
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12
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Blood indices of omega-3 and omega-6 polyunsaturated fatty acids are altered in hyperglycemia. Saudi J Biol Sci 2023; 30:103577. [PMID: 36816730 PMCID: PMC9932443 DOI: 10.1016/j.sjbs.2023.103577] [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: 11/27/2022] [Revised: 12/31/2022] [Accepted: 01/22/2023] [Indexed: 01/30/2023] Open
Abstract
Polyunsaturated fatty acids (PUFAs) may favorably influence the risk and clinical course of diabetes mellitus (DM). In particular, eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and arachidonic acid (AA) alleviate oxidative injury and insulin resistance characteristic of DM. Uncertainty still remains, however, as to the composition and proportions of blood PUFAs in relation to fasting blood glucose levels. This study, thus, aims to examine the patterns of blood PUFA indices in normoglycemic (NG) and hyperglycemic (HG) Saudi subjects. Age, gender, FA profiles, and laboratory records of 143 subjects collected from September 2014 to March 2018 were retrospectively analyzed. Means, prevalence rates, associations, risk measures, and the diagnostic accuracy of PUFAs were determined. HG subjects had significantly lower AA (0.70%, 95% CI: 0.59-0.80% vs 0.46%, 95% CI: 0.38-0.53%) and higher EPA/AA ratio (0.36, 95% CI: 0.30-0.42 vs 0.69, 95% CI: 0.61-0.77). Gender-wise comparisons revealed that ώ-6/ώ-3 ratio was the only PUFA index significantly elevated in HG males (0.36, 95% CI: 0.26-0.45 vs 5.68, 95% CI: 4.98-6.38) while both DHA (2.91%, 95% CI: 2.54-3.29% vs 3.37%, 95% CI: 3.13-3.60%) and ώ-3 index (3.1%, 95% CI: 2.70-3.49% vs 3.63%, 95% CI: 3.38-3.88%) were significantly elevated in HG females. Furthermore, reduced AA and elevated EPA/AA ratio were more prevalent in HG subjects (26.53 vs 28.72 and 30.61 vs 38.29, respectively) and exhibited the highest diagnostic accuracy for HG among all PUFA indices. Altogether, our study revealed that distinct, gender-specific blood PUFA indices are differentially regulated in HG subjects which may be valuable for DM management.
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13
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Hong X, Zhang X, You L, Li F, Lian H, Wang J, Mao N, Ren M, Li Y, Wang C, Sun K. Association between adiponectin and newly diagnosed type 2 diabetes in population with the clustering of obesity, dyslipidaemia and hypertension: a cross-sectional study. BMJ Open 2023; 13:e060377. [PMID: 36828662 PMCID: PMC9972409 DOI: 10.1136/bmjopen-2021-060377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 02/05/2023] [Indexed: 02/26/2023] Open
Abstract
OBJECTIVES Adiponectin is closely related to glucose metabolism and traditional diabetes risk factors (obesity, hypertension and dyslipidaemia). We aimed to explore the association between adiponectin levels and newly diagnosed type 2 diabetes mellitus (T2DM) and pre-diabetes in subgroups classified according to T2DM risk factors. SETTING Sun Yat-sen Memorial Hospital of Sun Yat-sen University. PARTICIPANTS 3680 individuals (1753 men and 1927 women) aged 18-70 years from Guangzhou and Dongguan, China, were enrolled from December 2018 to October 2019. PRIMARY AND SECONDARY OUTCOME MEASURES T2DM was defined as fasting plasma glucose (FPG)≥7.0 mmol/L or HbA1c≥6.5%, and pre-diabetes was defined as 6.1 mmol/L≤FPG<7.0 mmol/L or 5.7≤HbA1c<6.5%. RESULTS With the increasing number of T2DM risk factors, the proportion of the population with high-quartile adiponectin levels gradually decreased (p<0.001). A low level of adiponectin was significantly associated with diabetes and pre-diabetes in a population with ≥1 T2DM risk factor, whereas its association was not consistently significant in the population with all three T2DM risk factors. For instance, participants were more likely to have diabetes or prediabetes with low levels of adiponectin when they had ≥ one T2DM risk factor (quartile 2 vs. 1: OR 0.71 [95%CI: 0.56-0.89]; P=0.003; quartile 3 vs. 1: OR 0.57 [95%CIs: 0.44-0.72]; P<0.001; and quartile 4 vs. 1: OR 0.52 [95%CIs: 0.40-0.67]; P<0.001). CONCLUSION Adiponectin was negatively associated with diabetes and pre-diabetes in a population with few T2DM risk factors, while their relationship gradually attenuated with the accumulation of T2DM risk factors, especially in a population with coexisting diseases such as obesity, hypertension and dyslipidaemia.
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Affiliation(s)
- Xiaosi Hong
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Xiaoyun Zhang
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Lili You
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Feng Li
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Hong Lian
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Jiahuan Wang
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Na Mao
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Meng Ren
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Yan Li
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Chuan Wang
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
| | - Kan Sun
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China
- Guang Dong Clinical Research Center for Metabolic Diseases, Sun Yat-sen Memorial Hospital, Guangzhou, China
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A Single Strain of Lactobacillus (CGMCC 21661) Exhibits Stable Glucose- and Lipid-Lowering Effects by Regulating Gut Microbiota. Nutrients 2023; 15:nu15030670. [PMID: 36771383 PMCID: PMC9920280 DOI: 10.3390/nu15030670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/23/2023] [Accepted: 01/26/2023] [Indexed: 02/01/2023] Open
Abstract
Type 2 diabetes (T2D) is usually accompanied by obesity and nonalcoholic fatty-liver-related insulin resistance. The link between T2D and dysbiosis has been receiving increasing attention. Probiotics can improve insulin sensitivity by regulating imbalances in microbiota, but efficacy varies based on the probiotic used. This study screened the main strain in the feces of healthy adult mice and found it to be a new Lactobacillus (abbreviated as Lb., named as CGMCC No. 21661) after genetic testing. We designed the most common Bifidobacterium longum subsp. longum (CGMCC1.2186, abbreviated as B. longum. subsp.), fecal microbiota transplantation (FMT), and Lb. CGMCC No. 21661 protocols to explore the best way for modulating dysbiosis to improve T2D. After 6 weeks of gavage in T2D mice, it was found that all three protocols had a therapeutic alleviating effect. Among them, compared with the B. longum. subsp. and FMT, the Lb. CGMCC No. 21661 showed a 1- to 2-fold decrease in blood glucose (11.84 ± 1.29 mmol/L, p < 0.05), the lowest HOMA-IR (p < 0.05), a 1 fold increase in serum glucagon-like peptide-1 (5.84 ± 1.1 pmol/L, p < 0.05), and lowest blood lipids (total cholesterol, 2.21 ± 0.68 mmol/L, p < 0.01; triglycerides, 0.4 ± 0.15 mmol/L, p < 0.01; Low-density lipoprotein cholesterol, 0.53 ± 0.16 mmol/L, p < 0.01). In addition, tissue staining in the Lb. CGMCC No. 21661 showed a 2- to 3-fold reduction in T2D-induced fatty liver (p < 0.0001), a 1- to 2-fold decrease in pancreatic apoptotic cells (p < 0.05), and a significant increase in colonic mucus layer thickness (p < 0.05) compared with the B. longum. subsp. and FMT. The glucose and lipid lowering effects of this Lb. CGMCC No. 21661 indicate that it may provide new ideas for the treatment of diabetes.
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Yang Y, Deng S, Wang C, Wang Y, Shi Y, Lin J, Wang N, Su L, Yang F, Wang H, Zhu S. Association of Dental Caries with Muscle Mass, Muscle Strength, and Sarcopenia: A Community-Based Study. J Nutr Health Aging 2023; 27:10-20. [PMID: 36651482 DOI: 10.1007/s12603-022-1875-8] [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] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Changes in the oral cavity can reflect other changes throughout the body. This study aimed to investigate the association of dental caries with muscle mass, muscle strength, and sarcopenia, and also to describe the microbial diversity, composition, and community structure of severe dental caries and sarcopenia. DESIGN Cross-sectional study based on a Chinese population aged from 50 to 85 years. SETTING Communities from Lanxi City, Zhejiang Province, China. PARTICIPANTS A total of 1,442 participants aged from 50 to 85 years from a general community (62.8% women; median age 61.0 [interquartile range: 55.0, 68.0]). MEASUREMENTS Dental caries was assessed by the decayed, missing, and filled teeth (DMFT) index. Sarcopenia was defined as the presence of both low muscle mass (assessed by dual-energy X-ray absorptiometry scanning) and low muscle strength (assessed by handgrip strength). Multivariate logistic regression models were used to analyze the association of dental caries with muscle mass, muscle strength, and sarcopenia. Fecal samples underwent 16S rRNA profiling to evaluate the diversity and composition of the gut microbiota in patients with severe dental caries and/or sarcopenia. RESULTS In the fully adjusted logistic models, dental caries was positively associated with low muscle strength (DMFT ≥ 7: OR, 1.61; 95% CI, 1.25-2.06), and sarcopenia (DMFT ≥ 7: OR, 1.51; 95% CI, 1.01-2.26), but not low muscle mass. Severe dental caries was positively associated with higher alpha-diversity indices (richness, chao1, and ACE, all p < 0.05) and associated with beta-diversity based on Bray-Curtis distance (p = 0.006). The severe dental caries group and the sarcopenia group overlapped with 11 depleted and 13 enriched genera. CONCLUSION Dental caries was positively associated with low muscle strength and sarcopenia but not muscle mass, and this association was more pronounced in male individuals. Significant differences were observed in gut microbiota composition both in severe dental caries and sarcopenia, and there was an overlap of the genera features. Future longitudinal studies are needed to clarify causal relationships.
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Affiliation(s)
- Y Yang
- Dr. Huiming Wang, Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, North Qiutao Road No.166, Hangzhou, Zhejiang, China, ; Tel: 13858092696; Fax: 0571-87217433; Dr. Shankuan Zhu, Chronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China; ; Tel : +86-571-8820-8520; Fax: +86-571-8820-8520
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S A, K G, A AM. Intermodulation of gut-lung axis microbiome and the implications of biotics to combat COVID-19. J Biomol Struct Dyn 2022; 40:14262-14278. [PMID: 34699326 DOI: 10.1080/07391102.2021.1994875] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The novel coronavirus disease pandemic caused by the COVID-19 virus has infected millions of people around the world with a surge in transmission and mortality rates. Although it is a respiratory viral infection that affects airway epithelial cells, a diverse set of complications, including cytokine storm, gastrointestinal disorders, neurological distress, and hyperactive immune responses have been reported. However, growing evidence indicates that the bidirectional crosstalk of the gut-lung axis can decipher the complexity of the disease. Though not much research has been focused on the gut-lung axis microbiome, there is a translocation of COVID-19 infection from the lung to the gut through the lymphatic system resulting in disruption of gut permeability and its integrity. It is believed that detailed elucidation of the gut-lung axis crosstalk and the role of microbiota can unravel the most significant insights on the discovery of diagnosis using microbiome-based-therapeutics for COVID-19. This review calls attention to relate the influence of dysbiosis caused by COVID-19 and the involvement of the gut-lung axis. It presents first of its kind details that concentrate on the momentousness of biotics in disease progression and restoration. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Aishwarya S
- Department of Bioinformatics, Stella Maris College, Chennai, India.,Centre for Advanced Studies in Crystallography and Biophysics, University of Madras, Chennai, India
| | - Gunasekaran K
- Centre for Advanced Studies in Crystallography and Biophysics, University of Madras, Chennai, India
| | - Anita Margret A
- Department of Biotechnology and Bioinformatics, Bishop Heber College, Tiruchirappalli, Tamil Nadu, India
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Liang X, Fu Y, Cao WT, Wang Z, Zhang K, Jiang Z, Jia X, Liu CY, Lin HR, Zhong H, Miao Z, Gou W, Shuai M, Huang Y, Chen S, Zhang B, Chen YM, Zheng JS. Gut microbiome, cognitive function and brain structure: a multi-omics integration analysis. Transl Neurodegener 2022; 11:49. [PMID: 36376937 PMCID: PMC9661756 DOI: 10.1186/s40035-022-00323-z] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Microbiome-gut-brain axis may be involved in the progression of age-related cognitive impairment and relevant brain structure changes, but evidence from large human cohorts is lacking. This study was aimed to investigate the associations of gut microbiome with cognitive impairment and brain structure based on multi-omics from three independent populations. METHODS We included 1430 participants from the Guangzhou Nutrition and Health Study (GNHS) with both gut microbiome and cognitive assessment data available as a discovery cohort, of whom 272 individuals provided fecal samples twice before cognitive assessment. We selected 208 individuals with baseline microbiome data for brain magnetic resonance imaging during the follow-up visit. Fecal 16S rRNA and shotgun metagenomic sequencing, targeted serum metabolomics, and cytokine measurements were performed in the GNHS. The validation analyses were conducted in an Alzheimer's disease case-control study (replication study 1, n = 90) and another community-based cohort (replication study 2, n = 1300) with cross-sectional dataset. RESULTS We found protective associations of specific gut microbial genera (Odoribacter, Butyricimonas, and Bacteroides) with cognitive impairment in both the discovery cohort and the replication study 1. Result of Bacteroides was further validated in the replication study 2. Odoribacter was positively associated with hippocampal volume (β, 0.16; 95% CI 0.06-0.26, P = 0.002), which might be mediated by acetic acids. Increased intra-individual alterations in gut microbial composition were found in participants with cognitive impairment. We also identified several serum metabolites and inflammation-associated metagenomic species and pathways linked to impaired cognition. CONCLUSIONS Our findings reveal that specific gut microbial features are closely associated with cognitive impairment and decreased hippocampal volume, which may play an important role in dementia development.
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Affiliation(s)
- Xinxiu Liang
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Yuanqing Fu
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Wen-Ting Cao
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
- School of Public Health, Hainan Medical University, Haikou, 571199, China
| | - Zhihong Wang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, 100050, China
| | - Ke Zhang
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Zengliang Jiang
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China
| | - Xiaofang Jia
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, 100050, China
| | - Chun-Ying Liu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Hong-Rou Lin
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Haili Zhong
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Zelei Miao
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Wanglong Gou
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Menglei Shuai
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Yujing Huang
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China
| | - Shengdi Chen
- Department of Neurology and Institute of Neurology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Bing Zhang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, 100050, China.
- Key Laboratory of Trace Element Nutrition, National Health Commission, Beijing, 100050, China.
| | - Yu-Ming Chen
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
| | - Ju-Sheng Zheng
- School of Life Sciences, Westlake University, 18 Shilongshan Rd, Cloud Town, Hangzhou, 310024, China.
- Westlake Intelligent Biomarker Discovery Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, 310024, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, 310024, China.
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18
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Heinzer K, Lang S, Farowski F, Wisplinghoff H, Vehreschild MJGT, Martin A, Nowag A, Kretzschmar A, Scholz CJ, Roderburg C, Mohr R, Tacke F, Kasper P, Goeser T, Steffen HM, Demir M. Dietary omega-6/omega-3 ratio is not associated with gut microbiota composition and disease severity in patients with nonalcoholic fatty liver disease. Nutr Res 2022; 107:12-25. [PMID: 36162275 DOI: 10.1016/j.nutres.2022.07.006] [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: 12/29/2021] [Revised: 07/24/2022] [Accepted: 07/30/2022] [Indexed: 12/27/2022]
Abstract
In this cross-sectional study, we hypothesized that a high dietary ratio of omega-6 (n-6) to omega-3 (n-3) fatty acids could be associated with an altered gut bacterial composition and with the disease severity in patients with nonalcoholic fatty liver disease (NAFLD). A total of 101 NAFLD patients were included in the study, of which 63 underwent a liver biopsy. All 101 patients completed a 14-day food and activity record. Ebispro 2016 professional software was used to calculate individual macronutrients and micronutrients consumed. Patients were grouped into 3 quantiles (Q) according to a low (Q1: <6.1, n = 34), moderate (Q2: 6.1-7.8, n = 33), or high (Q3: >7.8, n = 34) dietary n-6/n-3 ratio. Stool samples were analyzed using 16S rRNA gene sequencing. Spearman correlation coefficients and principal coordinate analysis were used to detect differences in the bacterial composition of the gut microbiota. The median dietary n-6/n-3 ratio of all patients was 6.7 (range, 3.1-14.9). No significant associations between the dietary n-6/n-3 ratio and the gut microbiota composition or disease severity were observed. However, the abundance of specific bacteria such as Catenibacterium or Lactobacillus ruminis were found to be positively correlated and the abundance of Clostridium were negatively correlated with dietary n-6 fatty acid intake. The results indicate that a high dietary n-6/n-3 ratio is probably not a highly relevant factor in the pathogenesis of human NAFLD. Further studies are needed to clarify the importance of interactions between gut bacterial taxa and n-6 fatty acids in the pathophysiology of NAFLD.
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Affiliation(s)
- Kathrin Heinzer
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Gastroenterology and Hepatology, Cologne, Germany
| | - Sonja Lang
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Gastroenterology and Hepatology, Cologne, Germany; Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Fedja Farowski
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Cologne, Germany; German Centre for Infection Research (DZIF), partner site Bonn/Cologne; Department of Internal Medicine, Infectious Diseases, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Hilmar Wisplinghoff
- Wisplinghoff Laboratories, Cologne, Germany; University of Cologne, Faculty of Medicine, Institute for Medical Microbiology, Immunology and Hygiene, University Hospital of Cologne, Cologne, Germany; Institute for Virology and Medical Microbiology, University Witten/Herdecke, Witten, Germany
| | - Maria J G T Vehreschild
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Cologne, Germany; German Centre for Infection Research (DZIF), partner site Bonn/Cologne; Department of Internal Medicine, Infectious Diseases, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Anna Martin
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Gastroenterology and Hepatology, Cologne, Germany
| | - Angela Nowag
- Wisplinghoff Laboratories, Cologne, Germany; University of Cologne, Faculty of Medicine, Institute for Medical Microbiology, Immunology and Hygiene, University Hospital of Cologne, Cologne, Germany
| | | | | | - Christoph Roderburg
- Department of Hepatology and Gastroenterology, Campus Virchow Clinic and Campus Charité Mitte, Charité Universitätsmedizin, Berlin, Germany
| | - Raphael Mohr
- Department of Hepatology and Gastroenterology, Campus Virchow Clinic and Campus Charité Mitte, Charité Universitätsmedizin, Berlin, Germany
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Campus Virchow Clinic and Campus Charité Mitte, Charité Universitätsmedizin, Berlin, Germany
| | - Philipp Kasper
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Gastroenterology and Hepatology, Cologne, Germany
| | - Tobias Goeser
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Gastroenterology and Hepatology, Cologne, Germany
| | - Hans-Michael Steffen
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Gastroenterology and Hepatology, Cologne, Germany
| | - Münevver Demir
- Department of Hepatology and Gastroenterology, Campus Virchow Clinic and Campus Charité Mitte, Charité Universitätsmedizin, Berlin, Germany.
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Zhong F, Xu Y, Lai HY, Yang M, Cheng L, Liu X, Sun X, Yang Y, Wang J, Lv W, Huang C. Effects of combined aerobic and resistance training on gut microbiota and cardiovascular risk factors in physically active elderly women: A randomized controlled trial. Front Physiol 2022; 13:1004863. [PMID: 36338472 PMCID: PMC9631483 DOI: 10.3389/fphys.2022.1004863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/28/2022] [Indexed: 12/03/2022] Open
Abstract
Background: Exercise can modulate gut microbiota and lower the risk of cardiovascular disease (CVD). However, the association between exercise-induced changes in gut microbiota and CVD risk have not been investigated. Objective: This study determined the effects of exercise training on CVD risk and gut microbiota in physically active elderly women and whether exercise-induced gut microbiota changes were associated with CVD risk. Methods: An 8-week randomized controlled trial was conducted with 14 elderly women assigned to exercise group (n = 8) or control group (n = 6). Physical function, sarcopenic obesity, and metabolic syndrome were evaluated as components of CVD risk. Gut microbiota composition was determined using 16S rRNA gene sequencing. Repeated-measures analysis of variance was used to examine intra-group and inter-group differences. Results: A significant group × time interaction was observed for chair sit-and-reach (F = 8.262, p = 0.014), single-leg standing with eyes closed (F = 7.340, p = 0.019), waist circumference (F = 6.254, p = 0.028), and body fat mass (F = 12.263, p = 0.004), for which the exercise group showed improved trends. The exercise group exhibited significant improvements in skeletal muscle mass (p = 0.041) and fasting blood glucose (p = 0.017). Regarding gut microbiota, a significant interaction was observed for the class Betaproteobacteria (F = 6.822, p = 0.023) and genus Holdemania (F = 4.852, p = 0.048). Conclusion: The 8-week exercise training improved physical function, lowered CVD risk, and modulated relative abundance of gut microbiota associated with CVD in physically active elderly women.
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Affiliation(s)
- Fei Zhong
- Department of Sports and Exercise Science, Zhejiang University, Hangzhou, China
| | - Yongjin Xu
- Department of Sports and Exercise Science, Zhejiang University, Hangzhou, China
| | - Hsin-Yi Lai
- Department of Neurology and Research Center of Neurology in Second Affiliated Hospital, Key Laboratory of Medical Neurobiology of Zhejiang Province, and Interdisciplinary Institute of Neuroscience and Technology, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University School of Medicine, Hangzhou, China
- Department of Neurology of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Min Yang
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Lei Cheng
- MOE Key Laboratory of Biosystems Homeostasis and Protection, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Xinger Liu
- Kunshan Old Companion Home Care Service Agency, Kunshan, China
| | - Xiaomin Sun
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Global Health Institute, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Faculty of Sport Sciences, Waseda University, Saitama, Japan
| | - Yi Yang
- Department of Sports and Exercise Science, Zhejiang University, Hangzhou, China
| | - Jian Wang
- Department of Sports and Exercise Science, Zhejiang University, Hangzhou, China
- Center for Psychological Sciences, Zhejiang University, Hangzhou, China
| | - Wen Lv
- Department of Neurology of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cong Huang
- Department of Sports and Exercise Science, Zhejiang University, Hangzhou, China
- Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai, Japan
- *Correspondence: Cong Huang,
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20
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Jiedu-Yizhi Formula Alleviates Neuroinflammation in AD Rats by Modulating the Gut Microbiota. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:4023006. [PMID: 35958910 PMCID: PMC9357688 DOI: 10.1155/2022/4023006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 07/04/2022] [Indexed: 02/06/2023]
Abstract
Background The Jiedu-Yizhi formula (JDYZF) is a Chinese herbal prescription used to treat Alzheimer's disease (AD). It was previously confirmed that JDYZF can inhibit the expression of pyroptosis-related proteins in the hippocampus of AD rats and inhibit gut inflammation in AD rats. Therefore, it is hypothesized that JDYZF has a regulatory effect on the gut microbiota. Methods In this study, an AD rat model was prepared by bilateral hippocampal injection of Aβ25-35 and AD rats received high, medium, and low doses of JDYZF orally for 8 weeks. The body weights of the AD rats were observed to assess the effect of JDYZF. The 16S rRNA sequencing technique was used to study the regulation of the gut microbiota by JDYZF in AD rats. Immunohistochemical staining was used to observe the expression levels of Caspase-1 and Caspase-11 in the hippocampus. Results JDYZF reduced body weight in AD rats, and this effect may be related to JDYZF regulating body-weight-related gut microbes. The 16S rRNA analysis showed that JDYZF increased the diversity of the gut microbiota in AD rats. At the phylum level, JDYZF increased the abundances of Bacteroidota and Actinobacteriota and decreased the abundances of Firmicutes, Campilobacterota, and Desulfobacterota. At the genus level, the abundances of Lactobacillus, Prevotella, Bacteroides, Christensenellaceae_R-7_group, Rikenellaceae_RC9_gut_group, and Blautia were increased and the abundances of Lachnospiraceae-NK4A136-group, Anaerobiospirillum, Turicibacter, Oscillibacter, Desulfovibrio, Helicobacter, and Intestinimonas were decreased. At the species level, the abundances of Lactobacillus johnsonii, Lactobacillus reuteri, and Lactobacillus faecis were increased and the abundances of Helicobacter rodentium and Ruminococcus_sp_N15.MGS-57 were decreased. Immunohistochemistry showed that JDYZF reduced the levels of Caspase-1- and Caspase-11-positive staining. Conclusion JDYZF has a regulatory effect on the gut microbiota of AD rats, which may represent the basis for the anti-inflammatory effect of JDYZF.
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21
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Tsiantas K, Konteles SJ, Kritsi E, Sinanoglou VJ, Tsiaka T, Zoumpoulakis P. Effects of Non-Polar Dietary and Endogenous Lipids on Gut Microbiota Alterations: The Role of Lipidomics. Int J Mol Sci 2022; 23:ijms23084070. [PMID: 35456888 PMCID: PMC9024800 DOI: 10.3390/ijms23084070] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 02/25/2022] [Accepted: 03/31/2022] [Indexed: 02/07/2023] Open
Abstract
Advances in sequencing technologies over the past 15 years have led to a substantially greater appreciation of the importance of the gut microbiome to the health of the host. Recent outcomes indicate that aspects of nutrition, especially lipids (exogenous or endogenous), can influence the gut microbiota composition and consequently, play an important role in the metabolic health of the host. Thus, there is an increasing interest in applying holistic analytical approaches, such as lipidomics, metabolomics, (meta)transcriptomics, (meta)genomics, and (meta)proteomics, to thoroughly study the gut microbiota and any possible interplay with nutritional or endogenous components. This review firstly summarizes the general background regarding the interactions between important non-polar dietary (i.e., sterols, fat-soluble vitamins, and carotenoids) or amphoteric endogenous (i.e., eicosanoids, endocannabinoids-eCBs, and specialized pro-resolving mediators-SPMs) lipids and gut microbiota. In the second stage, through the evaluation of a vast number of dietary clinical interventions, a comprehensive effort is made to highlight the role of the above lipid categories on gut microbiota and vice versa. In addition, the present status of lipidomics in current clinical interventions as well as their strengths and limitations are also presented. Indisputably, dietary lipids and most phytochemicals, such as sterols and carotenoids, can play an important role on the development of medical foods or nutraceuticals, as they exert prebiotic-like effects. On the other hand, endogenous lipids can be considered either prognostic indicators of symbiosis or dysbiosis or even play a role as specialized mediators through dietary interventions, which seem to be regulated by gut microbiota.
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Affiliation(s)
- Konstantinos Tsiantas
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (K.T.); (S.J.K.); (E.K.); (V.J.S.)
| | - Spyridon J. Konteles
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (K.T.); (S.J.K.); (E.K.); (V.J.S.)
| | - Eftichia Kritsi
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (K.T.); (S.J.K.); (E.K.); (V.J.S.)
| | - Vassilia J. Sinanoglou
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (K.T.); (S.J.K.); (E.K.); (V.J.S.)
| | - Thalia Tsiaka
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (K.T.); (S.J.K.); (E.K.); (V.J.S.)
- Institute of Chemical Biology, National Hellenic Research Foundation, 48, Vas. Constantinou Ave., 11635 Athens, Greece
- Correspondence: (T.T.); (P.Z.)
| | - Panagiotis Zoumpoulakis
- Department of Food Science and Technology, University of West Attica, Ag. Spyridonos, 12243 Egaleo, Greece; (K.T.); (S.J.K.); (E.K.); (V.J.S.)
- Institute of Chemical Biology, National Hellenic Research Foundation, 48, Vas. Constantinou Ave., 11635 Athens, Greece
- Correspondence: (T.T.); (P.Z.)
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22
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Chiva-Blanch G, Giró O, Cofán M, Calle-Pascual AL, Delgado E, Gomis R, Jiménez A, Franch-Nadal J, Rojo Martínez G, Ortega E. Low Percentage of Vegetable Fat in Red Blood Cells Is Associated with Worse Glucose Metabolism and Incidence of Type 2 Diabetes. Nutrients 2022; 14:nu14071368. [PMID: 35405981 PMCID: PMC9002701 DOI: 10.3390/nu14071368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 03/22/2022] [Accepted: 03/24/2022] [Indexed: 11/16/2022] Open
Abstract
The identification of nutritional patterns associated with the development of type 2 diabetes (T2D) might help lead the way to a more efficient and personalized nutritional intervention. Our study is aimed at evaluating the association between fatty acids (FA) in red blood cell (RBC) membranes, as a quantitative biomarker of regular dietary fat intake, and incident type 2 diabetes in a Spanish population. We included 1032 adult Spaniards (57% women, age 49 ± 15 years, 18% prediabetes), without diabetes at study entry, from the Di@bet.es cohort. Incident diabetes was diagnosed at the end of the study follow-up. The FA percentage in RBC was determined at baseline by gas chromatography. Participants were followed on average 7.5 ± 0.6 years. Lower percentages of linoleic acid (LA), α-linolenic (ALA), and eicosapentaenoic acid (EPA), and higher percentages of docosahexaenoic acid (DHA) in RBC membranes were associated, independently of classical risk factors, with worse glucose metabolism at the end of the study follow-up. In addition, higher percentages of ALA and EPA, and moderate percentages of DHA, were associated with lower risk of diabetes. No significant associations were found for LA and diabetes risk. Dietary patterns rich in vegetables are independently associated with lower risk of both deterioration of glucose regulation and incident diabetes, and should be reinforced for the prevention of diabetes.
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Affiliation(s)
- Gemma Chiva-Blanch
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute-IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; (G.C.-B.); (O.G.); (M.C.); (R.G.); (A.J.)
- Spanish Biomedical Research Network in Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Oriol Giró
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute-IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; (G.C.-B.); (O.G.); (M.C.); (R.G.); (A.J.)
- Spanish Biomedical Research Network in Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Montserrat Cofán
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute-IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; (G.C.-B.); (O.G.); (M.C.); (R.G.); (A.J.)
- Spanish Biomedical Research Network in Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Alfonso L. Calle-Pascual
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.L.C.-P.); (J.F.-N.); (G.R.M.)
- Department of Endocrinology and Nutrition, San Carlos University Hospital of Madrid, 28040 Madrid, Spain
| | - Elías Delgado
- Spanish Biomedical Research Network in Rare Diseases (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain;
- Department of Endocrinology and Nutrition, Central University Hospital of Asturias, University of Oviedo, Health Research Institute of the Principality of Asturias (ISPA), 33011 Oviedo, Spain
| | - Ramon Gomis
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute-IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; (G.C.-B.); (O.G.); (M.C.); (R.G.); (A.J.)
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.L.C.-P.); (J.F.-N.); (G.R.M.)
| | - Amanda Jiménez
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute-IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; (G.C.-B.); (O.G.); (M.C.); (R.G.); (A.J.)
- Spanish Biomedical Research Network in Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Josep Franch-Nadal
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.L.C.-P.); (J.F.-N.); (G.R.M.)
- EAP Raval Sud, Catalan Institute of Health, GEDAPS Network, Primary Care, Research Support Unit (IDIAP-Jordi Gol Foundation), 08001 Barcelona, Spain
| | - Gemma Rojo Martínez
- Spanish Biomedical Research Network in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain; (A.L.C.-P.); (J.F.-N.); (G.R.M.)
- Biomedical Research Institute of Malaga (IBIMA), Endocrinology and Nutrition Department, Regional University Hospital of Malaga, 29010 Malaga, Spain
| | - Emilio Ortega
- Department of Endocrinology and Nutrition, August Pi i Sunyer Biomedical Research Institute-IDIBAPS, Hospital Clínic of Barcelona, 08036 Barcelona, Spain; (G.C.-B.); (O.G.); (M.C.); (R.G.); (A.J.)
- Spanish Biomedical Research Network in Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence:
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23
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Hu M, Fang Z, Zhang T, Chen Y. Polyunsaturated fatty acid intake and incidence of type 2 diabetes in adults: a dose response meta-analysis of cohort studies. Diabetol Metab Syndr 2022; 14:34. [PMID: 35241134 PMCID: PMC8892771 DOI: 10.1186/s13098-022-00804-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 02/09/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND To evaluate the association and dose-response relationship between polyunsaturated fatty acid (PUFA) intake and incidence of type 2 diabetes (T2D) in adults. METHODS PubMed, Embase, Cochrane Library, and Web of Science databases were searched for cohort studies that examined the association between PUFA and T2D incidence published up to September 6, 2021. Relative risk (RR) or hazard ratio (HR) was used as the effect indicator, each effect size was expressed by 95% confidence interval (CI). The presence of heterogeneity of effect size between studies was assessed by the Q-test and I2 statistics. If I2 ≥ 50%, the random-effects model was applied, otherwise the fixed effects model was used. Sensitivity analysis was performed for all models. Potential publication bias was assessed. We conducted linear and nonlinear dose-response meta-analyses, calculated summary relative risk (SRR). RESULTS Twenty-five articles were selected including 54,000 patients in this study. Our estimates observed no linear associations between total PUFA and the incidence of T2D. However, the summary dose-response curve of T2D risk increased in a nonlinear pattern with the consumption of omega-3 PUFA (Pnonlinearity < 0.001) and docosahexaenoic acid (DHA) (Pnonlinearity = 0.040). Our subgroup analysis showed that total PUFA intake was associated with increased incidence of T2D in Europe (RR: 1.040, 95% CI 1.009 to 1.072), and Australia (RR: 1.188, 95% CI 1.113 to 1.269). However, total PUFA intake was associated with decreased T2D incidence in Asia (RR: 0.897, 95% CI 0.860 to 0.936). Subgroup analysis based on PUFA types showed that DHA intake was associated with decreased T2D incidence (RR: 1.164, 95% CI 1.048 to 1.294) while linoleic acid (LA) decreased T2D incidence (RR: 0.956, 95% CI 0.930 to 0.983). Regarding the sex subgroup, women's intake of total PUFA would increase the risk of T2D (RR: 1.049, 95% CI 1.019 to 1.079) while total PUFA intake decreased the risk of T2D in men (RR: 0.955, 95% CI 0.913 to 0.999). CONCLUSION For specific PUFA, dose-response curves show nonlinear significant associations between PUFA intakes and T2D. It may be necessary to pay attention to the effects of PUFA and type of intake on T2D. Trial registration Not applicable.
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Affiliation(s)
- Mingyuan Hu
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China
| | - Zhengmei Fang
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China
| | - Tao Zhang
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China
| | - Yan Chen
- School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Higher Education Park, Wuhu, 241000, People's Republic of China.
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Associations between Serum Betaine, Methyl-Metabolizing Genetic Polymorphisms and Risk of Incident Type 2 Diabetes: A Prospective Cohort Study in Community-Dwelling Chinese Adults. Nutrients 2022; 14:nu14020362. [PMID: 35057543 PMCID: PMC8778868 DOI: 10.3390/nu14020362] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/06/2022] [Accepted: 01/11/2022] [Indexed: 12/21/2022] Open
Abstract
Previous studies have explored associations between betaine and diabetes, but few have considered the effects of genes on them. We aimed to examine associations between serum betaine, methyl-metabolizing genetic polymorphisms and the risk of type 2 diabetes in Chinese adults. This prospective study comprised 1565 subjects aged 40–75 without type 2 diabetes at baseline. Serum betaine was measured by high-performance liquid chromatography tandem mass spectrometry. Genotyping of methyl-metabolizing genes was detected by Illumina ASA-750K arrays. Cox proportional hazards model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). During a median of 8.9 years of follow-up, 213 participants developed type 2 diabetes. Compared with participants in the lowest quartile of serum betaine, those in the highest quartile had lower risk of type 2 diabetes, adjusted HRs (95%CIs) was 0.46 (0.31, 0.69). For methylenetetrahydrofolate reductase (MTHFR) G1793A (rs2274976) and MTHFR A1298C (rs1801131), participants carrying 1793GA + AA and 1298AC + CC had lower risk of type 2 diabetes. Interactions of serum betaine and genotype of MTHFR G1793A and MTHFR A1298C could be found influencing type 2 diabetes risk. Our findings indicate that higher serum betaine, mutations of MTHFR G1793A and A1298C, as well as the joint effects of them, are associated with lower risk of type 2 diabetes.
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Feng Y, Zhu J, Wang Q, Cao H, He F, Guan Y, Li D, Yan J, Yang J, Xia Y, Dong M, Hu F, Cao M, Wang J, Ding X, Feng Y, Zou H, Han Y, Sun S, Zhang J, Tang A, Jiang M, Deng Y, Gao J, Jia Y, Zhao W, Zhang F. White common bean extract remodels the gut microbiota and ameliorates type 2 diabetes and its complications: A randomized double-blinded placebo-controlled trial. Front Endocrinol (Lausanne) 2022; 13:999715. [PMID: 36303868 PMCID: PMC9594986 DOI: 10.3389/fendo.2022.999715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 09/23/2022] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVE Excessive carbohydrate intake is a high risk factor for increased morbidity of type 2 diabetes (T2D). A novel regimen for the dietary care of diabetes that consists of a highly active α-amylase inhibitor derived from white common bean extract (WCBE) and sufficient carbohydrates intake was applied to attenuate T2D and its complications. Furthermore, the role of gut microbiota in this remission was also investigated. METHODS We conducted a 4-month randomized double-blinded placebo-controlled trial. During the intense intervention period, ninety subjects were randomly assigned to the control group (Group C) and WCBE group (Group W). Subjects in Group C were supplemented with 1.5 g of maltodextrin as a placebo. Subjects in Group W took 1.5 g of WCBE half an hour before a meal. Fifty-five participants continued the maintenance intervention receiving the previous dietary intervention whereas less frequent follow-up. The variation in biochemical, vasculopathy and neuropathy indicators and the structure of the fecal microbiota during the intervention was analyzed. RESULT Glucose metabolism and diabetic complications showed superior remission in Group W with a 0.721 ± 0.742% decline of glycosylated hemoglobin after 4 months. The proportion of patients with diabetic peripheral neuropathy (Toronto Clinical Scoring System, TCSS ≥ 6) was significantly lower in Group W than in Group C. Both the left and right sural sensory nerve conduction velocity (SNCV-left sural and SNCV-right sural) slightly decreased in Group C and slightly increased in Group W. Additionally, the abundances of Bifidobacterium, Faecalibacterium and Anaerostipes were higher in Group W, and the abundances of Weissella, Klebsiella, Cronobacter and Enterobacteriaceae_unclassified were lower than those in Group C at month 2. At the end of month 4, Bifidobacterium remained more abundant in Group W. CONCLUSION To our knowledge, this is the first report of improvement to diabetes complications by using a dietary supplement in such a short-term period. The enrichment of SCFA-producing bacteria might be responsible for the attenuation of T2D and its complications. CLINICAL TRIAL REGISTRATION NUMBER http://www.chictr.org.cn/edit.aspx?pid=23309&htm=4, identifier ChiCTR-IOR-17013656.
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Affiliation(s)
- Yuwei Feng
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
- Wuxi School of Medicine Jiangnan University, Wuxi, China
| | - Jie Zhu
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
- Department of Infection Control, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Qinyue Wang
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Hong Cao
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
- Department of Endocrinology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Fang He
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, China
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou, China
| | - Yin Guan
- Yinglongqiao Community Health Service Center, Health Commision of Liangxi District, Wuxi, China
| | - Dan Li
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jiai Yan
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Ju Yang
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yanping Xia
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Meihua Dong
- Department of Health Promotion, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Feng Hu
- Department of Functional Examination, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Min Cao
- Special Ward, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jian Wang
- Department of Urology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Xiaoying Ding
- Department of Endocrinology and Metabolism, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufei Feng
- Mashan Community Healthcare Center, Health Commision of Binhu District, Wuxi, China
| | - Hong Zou
- Guangrui and Tongjiang Community Healthcare Center, Health Commision of Liangxi District, Wuxi, China
| | - Ying Han
- Guangrui and Tongjiang Community Healthcare Center, Health Commision of Liangxi District, Wuxi, China
| | - Su Sun
- Beidajie Community Healthcare Center, Health Commision of Liangxi District, Wuxi, China
| | - Jin Zhang
- Beidajie Community Healthcare Center, Health Commision of Liangxi District, Wuxi, China
| | - Aijuan Tang
- Beidajie Community Healthcare Center, Health Commision of Liangxi District, Wuxi, China
| | - Minhong Jiang
- Yangming Community Healthcare Center, Health Commision of Liangxi District, Wuxi, Jiangsu, China
| | - Yu Deng
- Yangming Community Healthcare Center, Health Commision of Liangxi District, Wuxi, Jiangsu, China
| | - Jianfen Gao
- Shanbei Community Healthcare Center, Health Commision of Liangxi District, Wuxi, China
| | - Yanxin Jia
- Shanbei Community Healthcare Center, Health Commision of Liangxi District, Wuxi, China
| | - Wei Zhao
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi, China
| | - Feng Zhang
- Department of Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, China
- Clinical Evaluation Center for Functional Food, Affiliated Hospital of Jiangnan University, Wuxi, China
- Wuxi School of Medicine Jiangnan University, Wuxi, China
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Zhao Q, Shi J, Chen S, Hao D, Wan S, Niu H, Zhang Y. Salidroside Affects Gut Microbiota Structure in db/db Mice by Affecting Insulin, Blood Glucose and Body Weight. Diabetes Metab Syndr Obes 2022; 15:2619-2631. [PMID: 36060789 PMCID: PMC9438798 DOI: 10.2147/dmso.s372192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE The purpose of this study was to investigate the regulatory effect of salidroside on the intestinal flora of mice with type 2 diabetes (T2DM) and its protective effect in the body. PATIENTS AND METHODS We acclimated 8-week-old mice for 7 days, divided them into 4 groups, and continued dosing for 8 weeks. We recorded weekly blood glucose levels and body weight for each mouse. After the completion of the feeding cycle, the 16S rRNA of the intestinal flora in the mice was sequenced, and the insulin and C-peptide levels in each group of mice were measured. Four samples were taken from each group for liver and kidney section staining. RESULTS Our results showed that gut microbiota diversity and function were significantly different between the diabetic mice and healthy mice and that insulin levels, body weight, and blood glucose levels could significantly influence gut microbiota changes at the genus level. The gut microbiota diversity and function of db/db mice were also altered after salidroside administration. Salidroside could attenuate inflammatory damage, lipid accumulation and inflammatory changes in the diabetic liver, as well as diabetic kidney damage. Candidatus arthromitus and Odoribacter are important species of the microbiota during diabetes and may serve as potential therapeutic targets. CONCLUSION Our investigation of the associated pathological conditions and fecal microbiota in db/db mice provides new insights into the pathogenesis of T2DM and provides implications for the diagnosis and treatment of T2DM.
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Affiliation(s)
- Qin Zhao
- Biobank, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital.C.T.), Chengdu, Sichuan Povince, People’s Republic of China
| | - Jing Shi
- Biobank, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital.C.T.), Chengdu, Sichuan Povince, People’s Republic of China
| | - Siyuan Chen
- Biobank, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital.C.T.), Chengdu, Sichuan Povince, People’s Republic of China
| | - Doudou Hao
- Biobank, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital.C.T.), Chengdu, Sichuan Povince, People’s Republic of China
| | - Sha Wan
- Biobank, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital.C.T.), Chengdu, Sichuan Povince, People’s Republic of China
| | - Haomeng Niu
- Medical School, Tibet University, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - Yongqun Zhang
- Biobank, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital.C.T.), Chengdu, Sichuan Povince, People’s Republic of China
- Correspondence: Yongqun Zhang, Biobank, Hospital of Chengdu Office of People’s Government of Tibetan Autonomous Region (Hospital.C.T.), No. 20 Ximianqiao Road, Chengdu, Sichuan Povince, 610041, People’s Republic of China, Tel +86-28-85593218, Fax +86 28-85558071, Email
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27
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Zheng JS, Ordovás JM. Precision nutrition for gut microbiome and diabetes research: Application of nutritional n-of-1 clinical trials. J Diabetes 2021; 13:1059-1061. [PMID: 34453774 DOI: 10.1111/1753-0407.13220] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 08/11/2021] [Accepted: 08/14/2021] [Indexed: 11/26/2022] Open
Affiliation(s)
- Ju-Sheng Zheng
- School of Life Sciences, Westlake University, Hangzhou, China
- Westlake Intelligent Biomarker Lab, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
| | - José M Ordovás
- Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, Massachusetts, USA
- IMDEA Food Institute, Madrid, Spain
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Mousavi SM, Jalilpiran Y, Karimi E, Aune D, Larijani B, Mozaffarian D, Willett WC, Esmaillzadeh A. Dietary Intake of Linoleic Acid, Its Concentrations, and the Risk of Type 2 Diabetes: A Systematic Review and Dose-Response Meta-analysis of Prospective Cohort Studies. Diabetes Care 2021; 44:2173-2181. [PMID: 34417277 DOI: 10.2337/dc21-0438] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 05/21/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Earlier evidence on the association between dietary polyunsaturated fatty acids and risk of diabetes has been conflicting. PURPOSE To quantitatively summarize previous studies on the association between dietary LA intake, its biomarkers, and the risk of type 2 diabetes mellitus (T2DM) in the general population. DATA SOURCES Our data sources included PubMed/MEDLINE, Scopus, and ISI Web of Science until 24 October 2020; reference lists of all related articles; and key journals. STUDY SELECTION We included prospective cohort studies that examined the associations of linoleic acid (LA) with the risk of T2DM in adults. DATA SYNTHESIS The inverse variance method was applied to calculate summary relative risk (RR) of LA intake and its biomarkers, and dose-response associations were modeled using restricted cubic splines. Twenty-three publications, covering a total of 31 prospective cohorts, were included; these studies included 297,685 participants (22,639 incident diabetes cases) with dietary intake assessment and 84,171 participants (18,458 incident diabetes cases) with biomarker measurements. High intake of LA was associated with a 6% lower risk of T2DM (summary relative risk [RR] 0.94, 95% CI 0.90, 0.99; I 2 = 48.5%). In the dose-response analysis, each 5% increment in energy from LA intake was associated with a 10% lower risk of T2DM. There was also evidence of a linear association between LA intake and diabetes, with the lowest risk at highest intakes. The summary RR for diabetes per SD increment in LA concentrations in adipose tissue/blood compartments was 0.85 (95% CI 0.80, 0.90; I2 = 66.2%). The certainty of the evidence was assessed as moderate. LIMITATIONS A limitation of our work was the observational design of studies included in the analyses. CONCLUSIONS We found that a high intake of dietary LA and elevated concentrations of LA in the body were both significantly associated with a lower risk of T2DM. These findings support dietary recommendations to consume dietary LA.
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Affiliation(s)
- Seyed Mohammad Mousavi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Yahya Jalilpiran
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Elmira Karimi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.,Department of Nutrition, Bjørknes University College, Oslo, Norway.,Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.,Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Walter C Willett
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ahmad Esmaillzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran .,Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Food Security Research Center, Department of Community Nutrition, Isfahan University of Medical Sciences, Isfahan, Iran
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Wei C, Zhou Z, Wang L, Huang Z, Liang Y, Zhang J. Perfluorooctane sulfonate (PFOS) disturbs fatty acid metabolism in Caenorhabditis elegans: Evidence from chemical analysis and molecular mechanism exploration. CHEMOSPHERE 2021; 277:130359. [PMID: 34384190 DOI: 10.1016/j.chemosphere.2021.130359] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/03/2021] [Accepted: 03/21/2021] [Indexed: 06/13/2023]
Abstract
Perfluorooctane sulfonate (PFOS) is a persistent organic pollutant that might induce disorders in fatty acid (FA) metabolism, but the underlying mechanisms remain unresolved. Caenorhabditis elegans (C. elegans) as a model organism can synthesize polyunsaturated FAs de novo via the polyunsaturated FA synthesis pathway. In this study, synchronized L1 C. elegans were exposed to 0, 0.01, 0.1, 0.5 and 1 μM PFOS for 72 h. Gas chromatography-mass spectrometry (GC-MS) was used to establish a sensitive and reliable analysis method for PFASs in exposed nematode, the instrument detection limits of nine fatty acid methyl esters examined ranged between 1.11 and 27.6 ng/mL, with satisfactory reproducibility (RSD < 10%) observed. Methyl pentadecanoate (C15:0) was used as an internal standard, the linearity of the calibration (0.1-10 μg/mL) nine FAs from the nematode were quantitatively analyzed. Comparing with the control group, PFOS exposure caused significantly decreased levels of C18:0 while significantly increased levels of C18:3n6. A decrease in the C18:3n6: C18:2n6 ratio was observed. Consistently, expression of the FA desaturation gene fat-3 was significantly down-regulated. These findings suggest that the FA disorder is associated with decrease in mRNA expression of Δ6-desaturase genes in C. elegans. Simultaneously, the disorders in FA metabolism were found to disrupt mitochondrial function with a reduction in ATP synthesis, as determined by the luciferase method. In summary, the results of the study provide insights into the adverse effects of PFOS on FA metabolism in living organisms.
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Affiliation(s)
- Cuiyun Wei
- College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, China; Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan, 430056, China
| | - Zhen Zhou
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan, 430056, China; Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Chemical and Environmental Engineering, Jianghan University, Wuhan, 430056, China; Department of Chemistry, Wuhan University, Wuhan, 430072, China
| | - Ling Wang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan, 430056, China
| | - Zichun Huang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan, 430056, China
| | - Yong Liang
- Hubei Key Laboratory of Environmental and Health Effects of Persistent Toxic Substances, Institute of Environment and Health, Jianghan University, Wuhan, 430056, China.
| | - Jie Zhang
- College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, China
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Dong C, Yu J, Yang Y, Zhang F, Su W, Fan Q, Wu C, Wu S. Berberine, a potential prebiotic to indirectly promote Akkermansia growth through stimulating gut mucin secretion. Biomed Pharmacother 2021; 139:111595. [PMID: 33862492 DOI: 10.1016/j.biopha.2021.111595] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 03/21/2021] [Accepted: 04/05/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Akkermansia spp. plays important roles in maintenance of host health. Increasing evidence reveals that berberine (BBR) may exert its pharmacological effects via, at least partially, promotion of Akkermansia spp. However, how BBR stimulates Akkermansia remains largely unknown. PURPOSE In this study, we investigated the mechanism underlying the Akkermansia-promoting effect of BBR. MATERIALS AND METHODS The effect of BBR on Akkermansia was assessed in BBR-gavaged mice and direct incubation. The influence of BBR on intestinal mucin production was determined by alcian-blue staining and real-time PCR. The feces were analysis by gas chromatography-time-of-flight mass spectrometry (GC-TOF/MS) metabolomics. The role of polyamines in BBR-elicited mucin secretion and Akkermansia growth was evaluated by administration of difluoromethylornithine (DFMO) in mice. RESULTS Gavage of BBR dose-dependently and time-dependently increased the abundance of Akkermansia in mice. However, it did not stimulate Akkermansia growth in direct incubation, suggesting that BBR may promote Akkermansia in a host-dependent way. Oral administration of BBR significantly increased the transcription of mucin-producing genes and mucin secretion in colon. Untargeted metabolomics analysis showed that BBR increased polyamines production in feces which are known to stimulate goblet cell proliferation and differentiation, but treatment with eukaryotic polyamine synthase inhibitor DFMO did not abolish the stimulating effect of BBR on mucin secretion and Akkermansia growth, indicating that the gut bacteria-derived but not the host-derived polyamines may involve in the BBR-promoted Akkermansia growth. CONCLUSIONS Our results reveal that BBR is a promising prebiotic for Akkermansia, and it promotes Akkermansia growth via stimulating mucin secretion in colon.
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Affiliation(s)
- Chaoran Dong
- State Key Laboratory for Bioactive Substances and Functions of Natural Medicines, Beijing Key Laboratory of New Drug Mechanisms and Pharmacological Evaluation Study, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, China
| | - Jiaqi Yu
- Pharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China
| | - Yanan Yang
- Pharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China
| | - Fang Zhang
- Pharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China
| | - Wenquan Su
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Qinhua Fan
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
| | - Chongming Wu
- Pharmacology and Toxicology Research Center, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
| | - Shengxian Wu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
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Lin D, Hong X, Sun K, Zhang X, Lian H, Wang J, Mao N, Zhang X, Ren M, Yan L, Li F, You L. Galectin-3/adiponectin as a new biological indicator for assessing the risk of type 2 diabetes: a cross-sectional study in a community population. Aging (Albany NY) 2021; 13:15433-15443. [PMID: 34096884 PMCID: PMC8221326 DOI: 10.18632/aging.203101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 03/13/2021] [Indexed: 04/14/2023]
Abstract
OBJECTIVE This study aimed to explore the association between the risk of newly diagnosed type 2 diabetes and galectin-3 and adiponectin and to investigate whether their joint action shows a favorable diabetes assessment performance. METHODS We conducted a community-based study in 135 newly diagnosed patients with type 2 diabetes and 270 age- and sex-matched nondiabetic patients. Odds ratios and 95% confidence intervals were determined using logistic regression analysis. Receiver operating characteristic curve, decision curve analysis and calibration plot were used to explore their efficacy and clinical utility for models. RESULTS High quartiles of galectin-3/adiponectin (quartile 4 vs 1: OR 2.43 [95% CIs: 1.21-5.00]) showed the strongest correlation with an increased risk of type 2 diabetes in the total population, which was consistent in the older population (age≥50 years old) in adjustment models. The combination + lipids + galectin-3/adiponectin model (AUC = 0.72 [95% CIs: 0.66-0.77]) displayed better diabetes assessment performance than the other two models. CONCLUSIONS High galectin-3 and low adiponectin levels were associated with the high risk of diabetes, and their joint action was a superior promising factor for evaluating diabetes risk. The diabetes discriminative strength of galectin-3/adiponectin was better in the older population than the younger.
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Affiliation(s)
- Diaozhu Lin
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Xiaosi Hong
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Kan Sun
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Xiaoyun Zhang
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Hong Lian
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Jiahuan Wang
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Na Mao
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Xiuwei Zhang
- Department of Endocrinology, Dongguan People's Hospital, Dongguan 523000, People’s Republic of China
| | - Meng Ren
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Li Yan
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Feng Li
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
| | - Lili You
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, People’s Republic of China
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Chen Y, Zhou J, Wang L. Role and Mechanism of Gut Microbiota in Human Disease. Front Cell Infect Microbiol 2021; 11:625913. [PMID: 33816335 PMCID: PMC8010197 DOI: 10.3389/fcimb.2021.625913] [Citation(s) in RCA: 183] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 01/26/2021] [Indexed: 12/12/2022] Open
Abstract
The human gut microbiome is a huge microbial community that plays an irreplaceable role in human life. With the further development of research, the influence of intestinal flora on human diseases has been gradually excavated. Gut microbiota (GM) dysbiosis has adverse health effects on the human body that will lead to a variety of chronic diseases. The underlying mechanisms of GM on human diseases are incredibly complicated. This review focuses on the regulation and mechanism of GM on neurodegenerative diseases, cardiovascular diseases, metabolic diseases and gastrointestinal diseases, thus providing a potential target for the prevention and treatment of disease.
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Affiliation(s)
- Yinwei Chen
- School of Medicine, Hangzhou Normal University, Hangzhou, China
| | - Jinghua Zhou
- Institute of Aging Research, School of Medicine, Hangzhou Normal University, Hangzhou, China.,School of Medicine, Zhejiang University, Hangzhou, China
| | - Li Wang
- Institute of Aging Research, School of Medicine, Hangzhou Normal University, Hangzhou, China.,Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, Graduate University for Advanced Studies (SOKENDAI), Hayama, Japan
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Yan S, Liu X, Li X, Li X, Wang J, Wen L. Critique of the Chinese dietary guidelines on the consumption of cooking oils. Food Sci Nutr 2021; 9:583-585. [PMID: 33473319 PMCID: PMC7802536 DOI: 10.1002/fsn3.1979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 10/08/2020] [Accepted: 10/10/2020] [Indexed: 12/15/2022] Open
Affiliation(s)
- Sisi Yan
- Laboratory of Animal Clinical ToxicologyDepartment of Clinical Veterinary MedicineCollege of Veterinary MedicineHunan Agricultural UniversityChangshaHunan ProvinceChina
- Laboratory of Molecular NutritionCollege of Food Science and EngineeringCentral South University of Forestry and TechnologyChangshaHunan ProvinceChina
| | - Xiangyan Liu
- Laboratory of Animal Clinical ToxicologyDepartment of Clinical Veterinary MedicineCollege of Veterinary MedicineHunan Agricultural UniversityChangshaHunan ProvinceChina
| | - Xin Li
- Laboratory of Animal Clinical ToxicologyDepartment of Clinical Veterinary MedicineCollege of Veterinary MedicineHunan Agricultural UniversityChangshaHunan ProvinceChina
| | - Xiaowen Li
- Laboratory of Animal Clinical ToxicologyDepartment of Clinical Veterinary MedicineCollege of Veterinary MedicineHunan Agricultural UniversityChangshaHunan ProvinceChina
| | - Ji Wang
- Laboratory of Animal Clinical ToxicologyDepartment of Clinical Veterinary MedicineCollege of Veterinary MedicineHunan Agricultural UniversityChangshaHunan ProvinceChina
| | - Lixin Wen
- Laboratory of Animal Clinical ToxicologyDepartment of Clinical Veterinary MedicineCollege of Veterinary MedicineHunan Agricultural UniversityChangshaHunan ProvinceChina
- Hunan Collaborative Innovation Center of Animal Production SafetyChangshaHunan ProvinceChina
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