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Zhang L, Liu J, Cao Y, Liu S, Zhao W, Wang C, Banzhao S, Liu Z, Liu L. Association between circulating levels of unsaturated fatty acids and risk for prediabetes in the NHANES 2003-2004 and 2011-2012. Diabetes Res Clin Pract 2024; 213:111728. [PMID: 38838943 DOI: 10.1016/j.diabres.2024.111728] [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: 04/03/2024] [Revised: 05/11/2024] [Accepted: 06/02/2024] [Indexed: 06/07/2024]
Abstract
AIMS This study aimed to investigate the association between serum levels of common and uncommon unsaturated fatty acids and prediabetes risk. METHODS Data were collected from the National Health and Nutrition Examination Survey for 2003-2004 and 2011-2012. Weighted proportional and multivariate logistic regression analyses were performed to assess the association of serum PUFAs and MUFAs with prediabetes risk after adjusting for potential confounders. RESULTS A total of 3575 individuals were enrolled in this study. Serum levels of PUFAs EPA (20:5 n3) and GLA (18:3 n6) were associated with increased prediabetes risk (EPA (20:5 n3): OR = 1.878, 95% CI: 1.177-2.996, Ptrend = 0.002; GLA (18:3 n6): 1.702, 95% CI: 1.140-2.541, Ptrend = 0.016). The MUFAs PA (16:1 n7) and EA (20:1 n9) were associated with the risk of prediabetes (OR in quintile5: PA (16:1 n7): 1.780, 95% CI: 1.056-3.001, Ptrend = 0.003; EA (20:1 n9): 0.587, 95% CI: 0.347-0.994, Ptrend = 0.010). Moreover, nonlinear analysis revealed that serum levels of EPA (20:5 n3) and EA (20:1 n-9) were nonlinearly associated with prediabetes risk. CONCLUSION Some serum n-3 PUFAs are positively associated with prediabetes, several serum n-6 PUFAs are inversely associated with prediabetes. Regulating individual serum USFA levels may help prevent prediabetes, thereby providing evidence for clinical and nutritional practices.
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Affiliation(s)
- Liwen Zhang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Jiayi Liu
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Yuxuan Cao
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Shan Liu
- Department of Endocrinology, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China
| | - Weili Zhao
- Hebei Key Laboratory of Basic Medicine for Diabetes, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China
| | - Ci Wang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Shangfang Banzhao
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Zanchao Liu
- Hebei Key Laboratory of Basic Medicine for Diabetes, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China; Shijiazhuang Diabetes Precision Diagnosis and Treatment Technology Innovation Center, Shijiazhuang, Hebei 050000, China.
| | - Lipeng Liu
- Hebei Key Laboratory of Basic Medicine for Diabetes, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China; College of Veterinary, Hebei Agricultural University, Baoding 071000, China.
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Pan X, Meng J, Xu L, Chang M, Feng C, Geng X, Cheng Y, Guo D, Liu R, Wang Z, Li D, Tan L. In-depth investigation of the hypoglycemic mechanism of Morchella importuna polysaccharide via metabonomics combined with 16S rRNA sequencing. Int J Biol Macromol 2022; 220:659-670. [PMID: 35995180 DOI: 10.1016/j.ijbiomac.2022.08.117] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/11/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022]
Abstract
Increasing evidence indicates that type 2 diabetes mellitus (T2DM) is closely related to intestinal bacteria disorders and abnormal hepatic metabolism. Morchella importuna polysaccharide (MIP) shows excellent hypoglycemic activity in vitro. However, the hypoglycemic effect and mechanism of MIP in vivo have yet to be investigated. In this study, the blood glucose, blood lipid and insulin resistance of diabetic mice after MIP intervention were measured to evaluate its hypoglycemic effect. Then, the microbiome and metabolomics were combined to explore the hypoglycemic mechanism of MIP. Results indicated that high dose MIP (400 mg/kg) had significant hypoglycemic effect. Furthermore, MIP could reverse diabetes-induced intestinal disorder by increasing the abundance of Akkermansia, Blautia, Dubosiella, and Lachnospiraceae, as well as decreasing the abundance of Helicobacteraceae. Besides, the hepatic metabolites and complex network systems formed by multiple metabolic pathways were regulated after MIP treatment. Notably, a new biomarker of diabetes (N-P-coumaroyl spermidine) was discovered in this study. Moreover, the significant association between intestinal bacteria and hepatic metabolites was determined by correlations analysis, which in turn confirmed MIP alleviated T2DM via the gut-liver axis. Therefore, these findings elucidated in-depth hypoglycemic mechanisms of MIP and provided a new biomarker for the prevention of diabetes.
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Affiliation(s)
- Xu Pan
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China
| | - Junlong Meng
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China; Shanxi Engineering Research Center of Edible Fungi, Taigu, Shanxi 030801, China.
| | - Lijing Xu
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China; Shanxi Key Laboratory of Edible Fungi for Loess Plateau, Taigu, Shanxi 030801, China.
| | - Mingchang Chang
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China; Shanxi Engineering Research Center of Edible Fungi, Taigu, Shanxi 030801, China
| | - Cuiping Feng
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China; Shanxi Key Laboratory of Edible Fungi for Loess Plateau, Taigu, Shanxi 030801, China
| | - Xueran Geng
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China; Shanxi Key Laboratory of Edible Fungi for Loess Plateau, Taigu, Shanxi 030801, China
| | - Yanfen Cheng
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China; Shanxi Key Laboratory of Edible Fungi for Loess Plateau, Taigu, Shanxi 030801, China
| | - Dongdong Guo
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China
| | - Rongzhu Liu
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China
| | - Zhichao Wang
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China
| | - Dongjie Li
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China
| | - Lirui Tan
- College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China
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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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Liu H, Wang F, Liu X, Xie Y, Xia H, Wang S, Sun G. Effects of marine-derived and plant-derived omega-3 polyunsaturated fatty acids on erythrocyte fatty acid composition in type 2 diabetic patients. Lipids Health Dis 2022; 21:20. [PMID: 35144649 PMCID: PMC8832668 DOI: 10.1186/s12944-022-01630-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 01/28/2022] [Indexed: 12/15/2022] Open
Abstract
Background Dietary fatty acids intake affects the composition of erythrocyte fatty acids, which is strongly correlated with glycolipid metabolism disorders. This study aimed at investigating the different effects of marine-derived and plant-derived omega-3 polyunsaturated fatty acid (n-3 PUFA) on the fatty acids of erythrocytes and glycolipid metabolism in patients with type 2 diabetes mellitus (T2DM). Methods The randomized double-blinded trial that was performed on 180 T2DM patients. The participants were randomly assigned to three groups for the six-month intervention. The participants were randomly assigned to three groups for the six-month intervention. The fish oil (FO) group was administered with FO at a dose of 3 g/day containing eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), the perilla oil (PO) group was administered with PO at a dose of 3 g/day containing α-linolenic (ALA), the linseed and fish oil (LFO) group was administered with mixed linseed and fish oil at a dose of 3 g/day containing EPA, DHA and ALA. Demographic information were collected and anthropometric indices, glucose and lipid metabolism indexes, erythrocyte fatty acid composition were measured. Statistical analyses were performed using two-way ANOVA. Results A total of 150 patients finished the trial, with 52 of them in the FO group, 50 in the PO group and 48 in the LFO group. There were significant effects of time × treatment interaction on fast blood glucose (FBG), insulin, HOMA-IR and C-peptide, TC and triglyceride (TG) levels (P < 0.001). Glucose and C-peptide in PO and LFO groups decreased significantly and serum TG in FO group significantly decreased (P < 0.001) after the intervention. Erythrocyte C22: 5 n-6, ALA, DPA, n-6/n-3 PUFA, AA/EPA levels in the PO group were significantly higher than FO and LFO groups, while EPA, total n-3 PUFA and Omega-3 index were significantly higher in the FO and LFO groups compared to PO group. Conclusion Supplementation with perilla oil decreased FBG while fish oil supplementation decreased the TG level. Marine-based and plant-based n-3 PUFAs exhibit different effects on fatty acid compositions of erythrocytes and regulated glycolipid metabolism. Trial registration This trial was recorded under Chinese Clinical Trial Registry Center (NO: ChiCTR-IOR-16008435) on May 28 2016.
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Affiliation(s)
- Hechun Liu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009, China
| | - Feng Wang
- Tianjin Institute of Environmental and Operational Medicine, 1 Da Li Road, Tianjin, 300050, China
| | - Xiaosong Liu
- Guanlin Hospital, 17 Wenwei Road, Yixing, 214251, China
| | - Yulan Xie
- Zhongda Hospital Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009, China
| | - Hui Xia
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009, China
| | - Shaokang Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009, China
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, 87 Ding Jia Qiao Road, Nanjing, 210009, China.
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