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Lago-Sampedro A, Oualla-Bachiri W, Maldonado-Araque C, Valdés S, González-Molero I, Doulatram-Gamgaram V, Delgado E, Chaves FJ, Castaño L, Calle-Pascual A, Franch-Nadal J, Rojo-Martínez G, García-Serrano S, García-Escobar E. The Interactive Effects of Fruit Intake Frequency and Serum miR-484 Levels as Biomarkers for Incident Type 2 Diabetes in a Prospective Cohort of the Spanish Adult Population: The Di@bet.es Study. Biomedicines 2025; 13:160. [PMID: 39857744 PMCID: PMC11762795 DOI: 10.3390/biomedicines13010160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Revised: 12/21/2024] [Accepted: 12/26/2024] [Indexed: 01/27/2025] Open
Abstract
Background/Objectives: Although evidence suggests that miR-484 and several fruit components are involved in glucose metabolism and insulin resistance metabolic pathways, the relationship between serum miR-484 levels and fruit consumption in relation to the risk of Type 2 diabetes (T2DM) remains elusive. The aim of this study was to evaluate the possible association between serum miR-484 levels and fruit intake frequency with the risk of T2DM in the Spanish adult population. Methods: 2234 subjects from the Di@bet.es cohort study without T2DM at baseline were studied. Socio-demographic, anthropometric and clinical data were recorded, as well as responses to a questionnaire on habits, including frequency of fruit consumption (daily vs. occasional). T2DM was diagnosed at baseline and after 7.5 years of follow-up. Baseline serum miR-484 levels were measured using real-time qPCR and categorized based on the 25th percentile. Association analyses were performed using logistic regression models adjusted for potential confounders. Interaction effects were evaluated on the multiplicative and additive scales. Results: There was no association between miR-484 levels and fruit intake frequency. Categorized miR-484 levels and fruit consumption were inversely and independently associated with the likelihood of incident T2DM. Analysis of the interaction effect suggests the presence of both positive multiplicative and additive interactions between miR-484 categories and fruit consumption frequency. Conclusions: Our study demonstrates a protective effect of daily fruit intake and high miR-484 levels regarding the risk of T2DM and supports the nutritional recommendations advocating daily fruit consumption. This study also suggests that the combined effect of low miR-484 levels and occasional fruit intake may increase the risk of T2DM beyond their independent effects.
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Affiliation(s)
- Ana Lago-Sampedro
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Facultad de Medicina, Universidad de Malaga, Campus de Teatinos s/n, 29071 Malaga, Spain
| | - Wasima Oualla-Bachiri
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
- Facultad de Medicina, Universidad de Malaga, Campus de Teatinos s/n, 29071 Malaga, Spain
| | - Cristina Maldonado-Araque
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
| | - Sergio Valdés
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
| | - Inmaculada González-Molero
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
| | - Viyey Doulatram-Gamgaram
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
| | - Elias Delgado
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, Central University Hospital of Asturias, Health Research Institute of the Principality of Asturias (ISPA), University of Oviedo, 33011 Oviedo, Spain
| | - Felipe J. Chaves
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Genomic and Genetic Diagnosis Unit, INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Luis Castaño
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Cruces University Hospital, Bio-Bizkaia, Department of Pediatrics, University of the Basque Country (UPV/EHU), European Reference Network on Rare Endocrine Conditions (Endo-ERN), 48903 Barakaldo, Spain
| | - Alfonso Calle-Pascual
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, San Carlos University Hospital of Madrid, 28040 Madrid, Spain
| | - Josep Franch-Nadal
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- EAP Raval Sud, Catalan Institute of Health, GEDAPS Network, Primary Care, Research Support Unit (IDIAP—Jordi Gol Foundation), 08007 Barcelona, Spain
| | - Gemma Rojo-Martínez
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
| | - Sara García-Serrano
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
| | - Eva García-Escobar
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabolicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, 28029 Madrid, Spain
- UGC Endocrinología y Nutrición, Hospital Regional Universitario de Málaga, IBIMA Plataforma BIONAND, 29590 Malaga, Spain
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Pinheiro DF, Maciel GM, Lima NP, Lima NF, Ribeiro IS, Haminiuk CWI. Impact of fruit consumption on gut microbiota: Benefits, contaminants, and implications for human health. Trends Food Sci Technol 2024; 154:104785. [DOI: 10.1016/j.tifs.2024.104785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
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Ma X, Li P, Liu Y, Liu L, Xu J, Wang X, Zhou S, Ren X, Wang Y, Yuan L. Suboptimal diet quality is associated with the incidence of type 2 diabetes mellitus in middle-aged and older populations in China: evidence from a population-based cross-sectional study. Nutr Res 2024; 127:123-132. [PMID: 38943730 DOI: 10.1016/j.nutres.2024.05.008] [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: 01/14/2024] [Revised: 05/29/2024] [Accepted: 05/30/2024] [Indexed: 07/01/2024]
Abstract
The association between dietary quality and type 2 diabetes mellitus (T2DM) based on the Chinese Dietary Balance Index (DBI-16) is seldom reported. We hypothesized that poor dietary quality might increase the risk of T2DM in the middle-aged and older populations. A total of 1816 individuals (≥50 years) were included in the study. Demographic characteristics and dietary intake data were collected. Logistic regression and restricted cubic spline (RCS) analyses were conducted to explore the association between DBI-16 indexes and the risk of T2DM. The insufficient intake of vegetables and dairy might decrease the risk of T2DM (ORVegetable = 0.77, 95% CI = 0.60-0.97; ORDairy = 0.58, 95% CI = 0.35-0.96), but the individuals with insufficient intake of fruit were more likely to have a higher risk of T2DM (ORfruit = 2.26, 95% CI = 1.69-3.06). Compared with the subjects with the lowest quartile of Low Bound Score (LBS) or Diet Quality Distance (DQD), the individuals with Q2 and Q3 level of LBS (ORQ2 = 1.40, 95% CI = 1.03-1.90, P = .033; ORQ3 = 1.52, 95% CI = 1.11-2.08, P < .01) or DQD (ORQ2 = 1.45, 95% CI = 1.06-1.99, P = .021; ORQ3 = 1.64, 95% CI = 1.20-2.24, P < .01) showed increased risk of T2DM with a nonlinear association observed by RCS analysis. We concluded that imbalanced dietary intake, especially insufficient daily fruit intake, might predict an increased risk of T2DM in the middle-aged and elderly Chinese.
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Affiliation(s)
- Xiaojun Ma
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases
| | - Pengfei Li
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases
| | - Yu Liu
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases
| | - Lu Liu
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases
| | - Jingjing Xu
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases
| | - Xixiang Wang
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases
| | - Shaobo Zhou
- School of Science, Faculty of Engineering and Science, University of Greenwich, Chatham, UK
| | - Xiuwen Ren
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases
| | - Ying Wang
- Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
| | - Linhong Yuan
- School of Public Health, Capital Medical Universiyt, Beijing China; China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases.
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Cheng J, Li J, Xiong RG, Wu SX, Xu XY, Tang GY, Huang SY, Zhou DD, Li HB, Feng Y, Gan RY. Effects and mechanisms of anti-diabetic dietary natural products: an updated review. Food Funct 2024; 15:1758-1778. [PMID: 38240135 DOI: 10.1039/d3fo04505f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Diabetes is a global public health issue, characterized by an abnormal level of blood glucose. It can be classified into type 1, type 2, gestational, and other rare diabetes. Recent studies have reported that many dietary natural products exhibit anti-diabetic activity. In this narrative review, the effects and underlying mechanisms of dietary natural products on diabetes are summarized based on the results from epidemiological, experimental, and clinical studies. Some fruits (e.g., grape, blueberry, and cherry), vegetables (e.g., bitter melon and Lycium barbarum leaves), grains (e.g., oat, rye, and brown rice), legumes (e.g., soybean and black bean), spices (e.g., cinnamon and turmeric) and medicinal herbs (e.g., Aloe vera leaf and Nigella sativa), and vitamin C and carotenoids could play important roles in the prevention and management of diabetes. Their underlying mechanisms include exerting antioxidant, anti-inflammatory, and anti-glycation effects, inhibiting carbohydrate-hydrolyzing enzymes, enhancing insulin action, alleviating insulin resistance, modulating the gut microbiota, and so on. This review can provide people with a comprehensive knowledge of anti-diabetic dietary natural products, and support their further development into functional food to prevent and manage diabetes.
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Affiliation(s)
- Jin Cheng
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Jiahui Li
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Ruo-Gu Xiong
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Si-Xia Wu
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Xiao-Yu Xu
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Guo-Yi Tang
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Si-Yu Huang
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Dan-Dan Zhou
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Hua-Bin Li
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Nutrition, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
| | - Yibin Feng
- School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Ren-You Gan
- Singapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Singapore 138669, Singapore.
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Wu C, Liu P, Yuan Z. Prospective association between fruit and vegetable intake and the risk of type 2 diabetes amongst Chinese adults: the China Health and Nutrition Survey. Int J Food Sci Nutr 2024; 75:81-91. [PMID: 37933616 DOI: 10.1080/09637486.2023.2278418] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 10/28/2023] [Indexed: 11/08/2023]
Abstract
This study aimed to prospectively explore the relationship between fruit and vegetable intake (FVI) and type 2 diabetes (T2D) risk amongst 13,175 Chinese adults. Cox proportional hazards models were used to estimate the hazard ratios (HRs) of T2D events in relation to FVI. Results showed that the highest quintile of FVI was inversely associated with T2D risk in men (HR = 0.72, 95% CI: 0.50, 0.98) and women (HR = 0.74, 95% CI: 0.55, 0.97), whereas no such associations were observed between total vegetable intake and T2D in either men (HR = 0.92, 95% CI: 0.65, 1.26) or women (HR = 1.02, 95% CI: 0.77, 1.38). In addition, greater fruit intake was inversely associated with T2D risk in men (HR = 0.42, 95% CI: 0.28, 0.63) and women (HR = 0.64, 95% CI: 0.45, 0.90). Overall, FVI and total fruit intake were inversely associated with T2D risk amongst Chinese adults.
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Affiliation(s)
- Caifeng Wu
- Research Center, Chengdu Medical College, Chengdu, China
| | - Pingping Liu
- Hefei Yaohai District Center for Disease Control and Prevention, Hefei, China
| | - Zhanpeng Yuan
- School of Public Health, Wuhan University, Wuhan, China
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