Hostname: page-component-848d4c4894-4hhp2 Total loading time: 0 Render date: 2024-05-20T07:50:05.363Z Has data issue: false hasContentIssue false

Effects of a diverse prebiotic fibre supplement on HbA1c, insulin sensitivity and inflammatory biomarkers in pre-diabetes: a pilot placebo-controlled randomised clinical trial

Published online by Cambridge University Press:  24 April 2024

Caitlin Victoria Hall
Affiliation:
Myota GmbH, Berlin, Germany
John Luke Twelves
Affiliation:
Lindus Health Limited, London, UK
Manish Saxena
Affiliation:
William Harvey Research Institute, Barts NIHR Biomedical Research Centre, Queen Mary University of London, London, UK
Leonardo Scapozza
Affiliation:
Pharmaceutical Biochemistry Group, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
Thomas Gurry*
Affiliation:
Myota GmbH, Berlin, Germany Pharmaceutical Biochemistry Group, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
*
*Corresponding author: Thomas Gurry, email thomas.gurry@unige.ch

Abstract

Prebiotic fibre represents a promising and efficacious treatment to manage pre-diabetes, acting via complementary pathways involving the gut microbiome and viscosity-related properties. In this study, we evaluated the effect of using a diverse prebiotic fibre supplement on glycaemic, lipid and inflammatory biomarkers in patients with pre-diabetes. Sixty-six patients diagnosed with pre-diabetes (yet not receiving glucose-lowering medications) were randomised into treatment (thirty-three) and placebo (thirty-three) interventions. Participants in the treatment arm consumed 20 g/d of a diverse prebiotic fibre supplement, and participants in the placebo arm consumed 2 g/d of cellulose for 24 weeks. A total of fifty-one and forty-eight participants completed the week 16 and week 24 visits, respectively. The intervention was well tolerated, with a high average adherence rate across groups. Our results extend upon previous work, showing a significant change in glycated haemoglobin (HbA1c) in the treatment group but only in participants with lower baseline HbA1c levels (< 6 % HbA1c) (P = 0·05; treatment –0·17 ± 0·27 v. placebo 0·07 ± 0·29, mean ± sd). Within the whole cohort, we showed significant improvements in insulin sensitivity (P = 0·03; treatment 1·62 ± 5·79 v. placebo –0·77 ± 2·11) and C-reactive protein (PFWE = 0·03; treatment –2·02 ± 6·42 v. placebo 0·94 ± 2·28) in the treatment group compared with the placebo. Together, our results support the use of a diverse prebiotic fibre supplement for physiologically relevant biomarkers in pre-diabetes.

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Nutrition Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Heianza, Y, Arase, Y, Fujihara, K, et al. (2012) Screening for pre-diabetes to predict future diabetes using various cut-off points for HbA1c and impaired fasting glucose: the Toranomon Hospital Health Management Center Study 4 (TOPICS 4). Diabetic Med 29, e279e285.CrossRefGoogle ScholarPubMed
Iglay, K, Hannachi, H, Joseph Howie, P, et al. (2016) Prevalence and co-prevalence of comorbidities among patients with type 2 diabetes mellitus. Curr Med Res Opin 32, 12431252.CrossRefGoogle ScholarPubMed
Tuso, P (2014) Prediabetes and lifestyle modification: time to prevent a preventable disease. Perm J 18, 8893.CrossRefGoogle ScholarPubMed
Papaetis, GS (2014) Incretin-based therapies in prediabetes: current evidence and future perspectives. World J Diabetes 5, 817834.CrossRefGoogle ScholarPubMed
Gillies, CL, Abrams, KR, Lambert, PC, et al. (2007) Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ 334, 299.CrossRefGoogle ScholarPubMed
Chakkalakal, RJ, Galaviz, KI, Sathish, T, et al. (2023) Test and treat for prediabetes: a review of the health effects of prediabetes and the role of screening and prevention. Annu Rev Public Health. doi: 10.1146/annurev-publhealth-060222-023417.Google ScholarPubMed
Tabák, AG, Herder, C, Rathmann, W, et al. (2012) Prediabetes: a high-risk state for diabetes development. Lancet 379, 22792290.CrossRefGoogle ScholarPubMed
Barry, E, Roberts, S, Finer, S, et al. (2015) Time to question the NHS diabetes prevention programme. BMJ 351, h4717.CrossRefGoogle ScholarPubMed
Cheah, MH, Goh, LH, Zheng, RM, et al. (2024) Prediabetes guidelines adherence and health outcomes at a Singapore primary health care institution. Singapore Med J. doi: 10.4103/singaporemedj.SMJ-2021-220.CrossRefGoogle Scholar
Gurung, M, Li, Z, You, H, et al. (2020) Role of gut microbiota in type 2 diabetes pathophysiology. EBioMedicine 51, 102590.CrossRefGoogle ScholarPubMed
Ojo, O, Wang, X, Ojo, OO, et al. (2022) The effect of prebiotics and oral anti-diabetic agents on gut microbiome in patients with type 2 diabetes: a systematic review and network meta-analysis of randomised controlled trials. Nutrients 14, 5139.CrossRefGoogle ScholarPubMed
Vitetta, L, Gorgani, NN, Vitetta, G, et al. (2023) Prebiotics progress shifts in the intestinal microbiome that benefits patients with type 2 diabetes mellitus. Biomolecules 13, 1307.CrossRefGoogle ScholarPubMed
Wang, X, Yang, J, Qiu, X, et al. (2021) Probiotics, pre-biotics and synbiotics in the treatment of pre-diabetes: a systematic review of randomized controlled trials. Front Public Health 9, 645035.CrossRefGoogle ScholarPubMed
Orly, B-Y, Anastasia, G, Michal, R, et al. (2023) Gut microbiome modulates the effects of a personalised postprandial-targeting (PPT) diet on cardiometabolic markers: a diet intervention in pre-diabetes. Gut 72, 1486.Google Scholar
Zhao, L, Zhang, F, Ding, X, et al. (2018) Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes. Science 359, 11511156.CrossRefGoogle ScholarPubMed
Portincasa, P, Bonfrate, L, Vacca, M, et al. (2022) Gut microbiota and short chain fatty acids: implications in glucose homeostasis. Int J Mol Sci 23, 1105.CrossRefGoogle ScholarPubMed
Roediger, WE (1982) Utilization of nutrients by isolated epithelial cells of the rat colon. Gastroenterology 83, 424429.CrossRefGoogle ScholarPubMed
Roediger, WE (1980) Role of anaerobic bacteria in the metabolic welfare of the colonic mucosa in man. Gut 21, 793798.CrossRefGoogle ScholarPubMed
Soliman, ML, Smith, MD, Houdek, HM, et al. (2012) Acetate supplementation modulates brain histone acetylation and decreases interleukin-1β expression in a rat model of neuroinflammation. J Neuroinflammation 9, 51.CrossRefGoogle Scholar
Boffa, LC, Vidali, G, Mann, RS, et al. (1978) Suppression of histone deacetylation in vivo and in vitro by sodium butyrate. J Biol Chem 253, 33643366.CrossRefGoogle ScholarPubMed
Sealy, L & Chalkley, R (1978) The effect of sodium butyrate on histone modification. Cell 14, 115121.CrossRefGoogle ScholarPubMed
Davie, JR (2003) Inhibition of histone deacetylase activity by butyrate. J Nutr 133, 2485s2493s.CrossRefGoogle ScholarPubMed
Barrera, JG, Sandoval, DA, D’Alessio, DA, et al. (2011) GLP-1 and energy balance: an integrated model of short-term and long-term control. Nat Rev Endocrinol 7, 507516.CrossRefGoogle ScholarPubMed
Mazibuko, SE, Muller, CJF, Joubert, E, et al. (2013) Amelioration of palmitate-induced insulin resistance in C2C12 muscle cells by rooibos (Aspalathus linearis). Phytomedicine 20, 813819.CrossRefGoogle ScholarPubMed
Canfora, EE, Jocken, JW & Blaak, EE (2015) Short-chain fatty acids in control of body weight and insulin sensitivity. Nat Rev Endocrinol 11, 577591.CrossRefGoogle ScholarPubMed
Khan, MT, Nieuwdorp, M & Bäckhed, F (2014) Microbial modulation of insulin sensitivity. Cell Metab 20, 753760.CrossRefGoogle ScholarPubMed
Peterson, CM, Beyl, RA, Marlatt, KL, et al. (2018) Effect of 12 weeks of resistant starch supplementation on cardiometabolic risk factors in adults with prediabetes: a randomized controlled trial. Am J Clin Nutr 108, 492501.CrossRefGoogle Scholar
Aliasgharzadeh, A, Dehghan, P, Gargari, BP, et al. (2015) Resistant dextrin, as a prebiotic, improves insulin resistance and inflammation in women with type 2 diabetes: a randomised controlled clinical trial. Br J Nutr 113, 321330.CrossRefGoogle ScholarPubMed
Rashed, AA, Saparuddin, F, Rathi, D-NG, et al. (2022) Effects of resistant starch interventions on metabolic biomarkers in pre-diabetes and diabetes adults. Front Nutr 8, 793414.CrossRefGoogle ScholarPubMed
Wang, X, Wang, T, Zhang, Q, et al. (2021) Dietary supplementation with inulin modulates the gut microbiota and improves insulin sensitivity in prediabetes. Int J Endocrinol 2021, 5579369.CrossRefGoogle ScholarPubMed
Wang, L, Yang, H, Huang, H, et al. (2019) Inulin-type fructans supplementation improves glycemic control for the prediabetes and type 2 diabetes populations: results from a GRADE-assessed systematic review and dose–response meta-analysis of 33 randomized controlled trials. J Transl Med 17, 410.CrossRefGoogle ScholarPubMed
Mitchell, CM, Davy, BM, Ponder, MA, et al. (2021) Prebiotic inulin supplementation and peripheral insulin sensitivity in adults at elevated risk for type 2 diabetes: a pilot randomized controlled trial. Nutrients 13, 3235.CrossRefGoogle ScholarPubMed
Colantonio, AG, Werner, SL & Brown, M (2020) The effects of prebiotics and substances with prebiotic properties on metabolic and inflammatory biomarkers in individuals with type 2 diabetes mellitus: a systematic review. J Acad Nutr Dietetics 120, 587607.e582.CrossRefGoogle ScholarPubMed
Gurry, T, Nguyen, LTT, Yu, X, et al. (2021) Functional heterogeneity in the fermentation capabilities of the healthy human gut microbiota. PLoS One 16, e0254004.CrossRefGoogle ScholarPubMed
Frias, JP, Lee, ML, Carter, MM, et al. (2023) A microbiome-targeting fibre-enriched nutritional formula is well tolerated and improves quality of life and haemoglobin A1c in type 2 diabetes: A double-blind, randomized, placebo-controlled trial. Diabetes Obes Metab 25, 12031212.CrossRefGoogle ScholarPubMed
Zurbau, A, Noronha, JC, Khan, TA, et al. (2021) The effect of oat β-glucan on postprandial blood glucose and insulin responses: a systematic review and meta-analysis. Eur J Clin Nutr 75, 15401554.CrossRefGoogle ScholarPubMed
Broekaert, WF, Cloetens, L, Courtin, CM, et al. (2010) Tolerance of arabinoxylan-oligosaccharides and their prebiotic activity in healthy subjects: a randomised, placebo-controlled cross-over study. Br J Nutr 103, 703713.Google Scholar
Matsuda, M & DeFronzo, RA (1999) Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 22, 14621470.CrossRefGoogle ScholarPubMed
Ďásková, N, Modos, I, Krbcová, M, et al. (2023) Multi-omics signatures in new-onset diabetes predict metabolic response to dietary inulin: findings from an observational study followed by an interventional trial. Nutr Diabetes 13, 7.CrossRefGoogle ScholarPubMed
Guess, ND, Dornhorst, A, Oliver, N, et al. (2015) A randomised crossover trial: the effect of inulin on glucose homeostasis in subtypes of prediabetes. Ann Nutr Metab 68, 2634.CrossRefGoogle ScholarPubMed
Christine, B, Fiona, H, Julian, C, et al. (2022) A randomised controlled trial of a probiotic and a prebiotic examining metabolic and mental health outcomes in adults with pre-diabetes. BMJ Open 12, e055214.Google Scholar
Yahyavi, SK, Snorgaard, O, Knop, FK, et al. (2021) Prediabetes defined by first measured HbA1c predicts higher cardiovascular risk compared with HbA1c in the diabetes range: a cohort study of nationwide registries. Diabetes Care 44, 27672774.CrossRefGoogle Scholar
Dehghan, P, Pourghassem Gargari, B & Asghari Jafar-Abadi, M (2014) Oligofructose-enriched inulin improves some inflammatory markers and metabolic endotoxemia in women with type 2 diabetes mellitus: a randomized controlled clinical trial. Nutrition 30, 418423.CrossRefGoogle ScholarPubMed
Varvel, SA, Voros, S, Thiselton, DL, et al. (2014) Comprehensive biomarker testing of glycemia, insulin resistance, and beta cell function has greater sensitivity to detect diabetes risk than fasting glucose and HbA1c and is associated with improved glycemic control in clinical practice. J Cardiovasc Transl Res 7, 597606.CrossRefGoogle ScholarPubMed
Robertson, MD, Wright, JW, Loizon, E, et al. (2012) Insulin-sensitizing effects on muscle and adipose tissue after dietary fiber intake in men and women with metabolic syndrome. J Clin Endocrinol Metab 97, 33263332.CrossRefGoogle ScholarPubMed
Canfora, EE, van der Beek, CM, Hermes, GDA, et al. (2017) Supplementation of diet with galacto-oligosaccharides increases bifidobacteria, but not insulin sensitivity, in obese prediabetic individuals. Gastroenterology 153, 8797.e83.CrossRefGoogle Scholar
Bodinham, CL, Smith, L, Thomas, EL, et al. (2014) Efficacy of increased resistant starch consumption in human type 2 diabetes. Endocr Connect 3, 7584.CrossRefGoogle ScholarPubMed
Costa, ES, França, CN, Fonseca, FA, et al. (2019) Beneficial effects of green banana biomass consumption in patients with pre-diabetes and type 2 diabetes: a randomised controlled trial. Br J Nutr 121, 13651375.CrossRefGoogle ScholarPubMed
Thorburn, A, Muir, J & Proietto, J (1993) Carbohydrate fermentation decreases hepatic glucose output in healthy subjects. Metabolism 42, 780785.CrossRefGoogle ScholarPubMed
Shoelson, SE, Lee, J & Goldfine, AB (2006) Inflammation and insulin resistance. J Clin Investig 116, 17931801.CrossRefGoogle ScholarPubMed
Tsalamandris, S, Antonopoulos, AS, Oikonomou, E, et al. (2019) The role of inflammation in diabetes: current concepts and future perspectives. Eur Cardiol 14, 5059.CrossRefGoogle Scholar
Abdelmouttaleb, I, Danchin, N, Ilardo, C, et al. (1999) C-Reactive protein and coronary artery disease: additional evidence of the implication of an inflammatory process in acute coronary syndromes. Am Heart J 137, 346351.CrossRefGoogle ScholarPubMed
Ridker, PM, Glynn, RJ & Hennekens, CH (1998) C-reactive protein adds to the predictive value of total and HDL cholesterol in determining risk of first myocardial infarction. Circulation 97, 20072011.CrossRefGoogle Scholar
Pradhan, AD, Manson, JE, Rifai, N, et al. (2001) C-reactive protein, interleukin 6, and risk of developing type 2 diabetes mellitus. JAMA 286, 327334.CrossRefGoogle ScholarPubMed
King, DE, Mainous, AG III, Buchanan, TA, et al. (2003) C-reactive protein and glycemic control in adults with diabetes. Diabetes Care 26, 15351539.CrossRefGoogle ScholarPubMed
Jiao, J, Xu, J-Y, Zhang, W, et al. (2015) Effect of dietary fiber on circulating C-reactive protein in overweight and obese adults: a meta-analysis of randomized controlled trials. Int J Food Sci Nutr 66, 114119.CrossRefGoogle ScholarPubMed
Pelaseyed, T, Bergström, JH, Gustafsson, JK, et al. (2014) The mucus and mucins of the goblet cells and enterocytes provide the first defense line of the gastrointestinal tract and interact with the immune system. Immunol Rev 260, 820.CrossRefGoogle ScholarPubMed
Spranger, J, Kroke, A, Möhlig, M, et al. (2003) Inflammatory cytokines and the risk to develop type 2 diabetes: results of the prospective population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam study. Diabetes 52, 812817.CrossRefGoogle ScholarPubMed
Garcia, C, Feve, B, Ferré, P, et al. (2010) Diabetes and inflammation: fundamental aspects and clinical implications. Diabetes Metab 36, 327338.CrossRefGoogle ScholarPubMed
De Vadder, F, Kovatcheva-Datchary, P, Goncalves, D, et al. (2014) Microbiota-generated metabolites promote metabolic benefits via gut-brain neural circuits. Cell 156, 8496.CrossRefGoogle ScholarPubMed
Wijnands, MVW, Appel, MJ, Hollanders, VMH, et al. (1999) A comparison of the effects of dietary cellulose and fermentable galacto-oligosaccharide, in a rat model of colorectal carcinogenesis: fermentable fibre confers greater protection than non-fermentable fibre in both high and low fat backgrounds. Carcinog 20, 651656.CrossRefGoogle Scholar
Gurry, T, Dannenberg, PH, Finlayson, SG, et al. (2018) Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort. Sci Rep 8, 12699.CrossRefGoogle Scholar
Tremaroli, V & Bäckhed, F (2012) Functional interactions between the gut microbiota and host metabolism. Nature 489, 242249.CrossRefGoogle ScholarPubMed
Supplementary material: File

Hall et al. supplementary material

Hall et al. supplementary material
Download Hall et al. supplementary material(File)
File 248.7 KB