DOI: https://doi.org/10.14710/jgi.11.2.119-127

COMPARISON BETWEEN METABOLIC PARAMETERS, FOOD INTAKE, AND GUT MICROBIOTA IN TYPE 2 DIABETES AND NON-DIABETIC INDONESIAN WOMEN

1Department of Food and Agricultural Product Technology, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia

2Department of Nutrition Science, Faculty of Medicine, Universitas Diponegoro, Indonesia

3Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Indonesia

4 Center for Food and Nutrition Studies, Universitas Gadjah Mada, Indonesia

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Received: 10 Jan 2023; Published: 24 Jun 2023.

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Abstract

ABSTRACT

Background: Globally, the increasing incidence of type 2 diabetes mellitus (T2D) has resulted in an upsurge in research into this metabolic condition. Women, particularly in Indonesia, have a greater risk of T2D than males. The diversity of the gut microbiota (GM) in T2D is regulated by the number of carbs, protein, fat, and fiber consumed.

Objectives: This study examined the comparison between metabolic parameters, food intake, and GM in T2D and non-diabetic Indonesian women.

Materials and Methods: The cohort study included people who did not have T2D and those who did. On day 28 of observations, anthropometric, metabolic parameters, food intake, physical activity, and feces were collected. Feces were collected for pH, SCFA, and GM (L. plantarum, Bifidobacterium, and Prevotella) analysis.

Results: There were significant differences between non-diabetic and diabetic women in age, Waist Hip Ratio (WHR), fasting blood sugar (FBS), and HbA1c. The two groups did not differ significantly in terms of their macronutrient intake (calories, carbs, protein, and fat), total water, and dietary fiber. Fecal pH and GM did not statistically differ between the control and T2D groups. Fasting blood sugar and HbA1c were positively associated with age, duration of T2D, WHR, and total water consumption, but slightly negatively associated with dietary fiber intake. Fasting blood sugar  was also slightly negatively associated with Prevotella, meanwhile HbA1c with Bifidobacterium. Carbohydrate intake were positively correlated with acetic, propionic, and butyric acid levels.

Conclusion: Macronutrient intake, fecal pH, SCFA, and GM did not differ because GM in T2D increased bacause metformin consumption so that SCFA similar between two group.

 Keywords : food, gut microbiota, short-chain fatty acid,  diabetes, women

 

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Keywords: food, gut microbiota, short-chain fatty acid, diabetes, women
Funding: Ministry of Research and Technology; Grant for Dissertation of Doctorate Candidate; Center of Excellence in Science and Technology

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  1. Galicia-Garcia U, Benito-Vicente A, Jebari S, Larrea-Sebal A, Siddiqi H, Uribe KB, et al. Pathophysiology of type 2 diabetes mellitus. Int J Mol Sci. 2020;21(17):1–34
  2. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract [Internet]. 2019;157:1–10. Available from: https://doi.org/10.1016/j.diabres.2019.107843
  3. Kemenkes. Laporan Nasional Riskesdas 2018 [Internet]. Badan Penelitian dan Pengembangan Kesehatan. 2019. Available from: http://labdata.litbang.kemkes.go.id/images/download/laporan/RKD/2018/Laporan_Nasional_RKD2018_FINAL.pdf
  4. Dervic E, Deischinger C, Haug N, Leutner M, Kautzky-Willer A, Klimek P. The effect of cardiovascular comorbidities on women compared to men: Longitudinal retrospective analysis. JMIR Cardio. 2021;5(2):1–10
  5. Idris H, Hasyim H, Utama F. Analysis of Diabetes Mellitus Determinants in Indonesia : A Study from the Indonesian Basic Health Research 2013. Acta Medica Indones Indones J Intern Med. 2013;49(4):291–8
  6. Simbolon D, Siregar A, Talib RA. Physiological factors and physical activity contribute to the incidence of type 2 diabetes mellitus in Indonesia. Kesmas. 2020;15(3):120–7
  7. Syauqy A. Perbedaan kadar glukosa darah puasa pasien diabetes melitus berdasarkan pengetahuan gizi, sikap dan tindakan di poli penyakit dalam rumah sakit islam jakarta. J Gizi Indones (The Indones J Nutr. 2016;3(2):60–7
  8. Cunningham AL, Stephens JW, Harris DA. Gut microbiota influence in type 2 diabetes mellitus (T2DM). Gut Pathog [Internet]. 2021;13(1):1–13. Available from: https://doi.org/10.1186/s13099-021-00446-0
  9. Al-jameel SS. Association of diabetes and microbiota : An update. Saudi J Biol Sci [Internet]. 2021;28(8):4446–54. Available from: https://doi.org/10.1016/j.sjbs.2021.04.041
  10. Gurung M, Li Z, You H, Rodrigues R, Jump DB, Morgun A, et al. Role of gut microbiota in type 2 diabetes pathophysiology. EBioMedicine [Internet]. 2020;51:102590. Available from: https://doi.org/10.1016/j.ebiom.2019.11.051
  11. Sedighi M, Razavi S, Navab-Moghadam F, Khamseh ME, Alaei-Shahmiri F, Mehrtash A, et al. Comparison of gut microbiota in adult patients with type 2 diabetes and healthy individuals. Microb Pathog [Internet]. 2017;111:362–9. Available from: https://doi.org/10.1016/j.micpath.2017.08.038
  12. Alou MT, Lagier J christophe, Raoult D. Diet influence on the gut microbiota and dysbiosis related to nutritional disorders. Hum Microbiome J [Internet]. 2016;1:3–11. Available from: http://dx.doi.org/10.1016/j.humic.2016.09.001
  13. Singh RK, Chang HW, Yan D, Lee KM, Ucmak D, Wong K, et al. Influence of diet on the gut microbiome and implications for human health. J Transl Med. 2017;1–17
  14. Willson K, Situ C. Systematic Review on Effects of Diet on Gut Microbiota in Relation to Metabolic Syndromes. J Clin Nutr Metab. 2017;1(2):1–12
  15. Nakayama J, Watanabe K, Jiang J, Matsuda K, Chao S huei, Haryono P, et al. Diversity in gut bacterial community of school-age children in Asia. Nature. 2015;5(8397):1–11
  16. Rahayu ES, Utami T, Mariyatun M, Hasan PN, Kamil RZ, Setyawan RH, et al. Gut microbiota profile in healthy Indonesians. World J Gastroenterol. 2019;25(12):1478–91
  17. Sircana A, Framarin L, Leone N, Berrutti M, Castellino F, Parente R, et al. Altered Gut Microbiota in Type 2 Diabetes : Just a Coincidence ? Curr Diabetes Rep. 2018;18(98):1–11
  18. Kamil RZ, Murdiati A, Juffrie M, Nakayama J, Rahayu ES. Gut microbiota and short-chain fatty acid profile between normal and moderate malnutrition children in Yogyakarta, Indonesia. Microorganisms. 2021;9(1):1–15
  19. Rustanti N, Murdiati A, Juffrie M, Rahayu ES. Effect of Probiotic Lactobacillus plantarum Dad-13 on Metabolic Profiles and Gut Microbiota in Type 2 Diabetic Women: A Randomized Double-Blind Controlled Trial. Microorganisms. 2022;10(1806):1–17
  20. Matsuda K, Tsuji H, Asahara T, Matsumoto K, Takada T, Nomoto K. Establishment of an analytical system for the human fecal microbiota, based on reverse transcription-quantitative PCR targeting of multicopy rRNA molecules. Appl Environ Microbiol. 2009;75(7):1961–9
  21. Matsuki T, Watanabe K, Fujimoto J, Miyamoto Y, Takada T, Matsumoto K, et al. Development of 16S rRNA-Gene-Targeted Group-Specific Primers for the Detection and Identification of Predominant Bacteria in Human Feces. 2002;68(11):5445–51
  22. Yamaguchi Y, Adachi K, Sugiyama T, Shimozato A, Ebi M, Ogasawara N, et al. Association of Intestinal Microbiota with Metabolic Markers and Dietary Habits in Patients with Type 2 Diabetes. Digestion. 2016;94:66–72
  23. Huang Y, Wang Z, Ma H, Ji S, Chen Z, Cui Z, et al. Dysbiosis and Implication of the Gut Microbiota in Diabetic Retinopathy. Front Cell Infect Microbiol. 2021;11(March):1–12
  24. Therdtatha P, Song Y, Tanaka M, Mariyatun M, Almunifah M, Manurung NEP, et al. Gut microbiome of indonesian adults associated with obesity and type 2 diabetes: A cross-sectional study in an asian city, yogyakarta. Microorganisms. 2021;9(5):1–19
  25. Lee C Bin, Chae SU, Jo SJ, Jerng UM, Bae SK. The relationship between the gut microbiome and metformin as a key for treating type 2 diabetes mellitus. Int J Mol Sci. 2021;22(7)
  26. Pawar SD, Thakur P, Radhe BK, Jadhav H, Behere V, Pagar V. The accuracy of polyuria , polydipsia , polyphagia , and Indian Diabetes Risk Score in adults screened for diabetes mellitus type ‑ II. 2017;263–7
  27. Adachi K, Sugiyama T, Yamaguchi Y, Tamura Y, Izawa S, Hijikata Y, et al. Gut microbiota disorders cause type 2 diabetes mellitus and homeostatic disturbances in gutrelated metabolism in Japanese subjects. J Clin Biochem Nutr. 2019;64(3):231–8
  28. Osuka A, Shimizu K, Ogura H, Tasaki O, Hamasaki T, Asahara T, et al. Prognostic impact of fecal pH in critically ill patients. Crit Care [Internet]. 2012;16(4):R119. Available from: http://ccforum.com/content/16/4/R119
  29. He J, Zhang P, Shen L, Niu L, Tan Y, Chen L, et al. Short-chain fatty acids and their association with signalling pathways in inflammation, glucose and lipid metabolism. Int J Mol Sci. 2020;21(17):1–16
  30. Li X, Shimizu Y, Kimura I. Gut microbial metabolite short-chain fatty acids and obesity. Biosci Microbiota, Food Heal. 2017;36(4):135–40
  31. Zhang M, Maruthur NM, Juraschek SP, Iii ERM, Appel LJ, Yeh H chieh. Metformin Affects Gut Microbiome Composition and Function and Circulating Short- Chain Fatty Acids : A Randomized. 2021;44(July):1462–71
  32. Ermolenko E, Simanenkova A, Voropaeva L, Lavrenova N, Kotyleva M, Minasian S, et al. Metformin Influence on the Intestinal Microbiota and Organism of Rats with Metabolic Syndrome. Int J Mol Sci. 2022;23(12)
  33. Psichas A, Sleeth ML, Murphy KG, Brooks L, Bewick GA, Hanyaloglu AC, et al. The short chain fatty acid propionate stimulates GLP-1 and PYY secretion via free fatty acid receptor 2 in rodents. Int J Obes. 2015;39(3):424–9
  34. Zhang L, Chu J, Hao W, Zhang J, Li H, Yang C, et al. Gut Microbiota and Type 2 Diabetes Mellitus: Association, Mechanism, and Translational Applications

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