2,759
Views
2
CrossRef citations to date
0
Altmetric
Research Paper

Carbohydrate quality, fecal microbiota and cardiometabolic health in older adults: a cohort study

, , , , , , , , , , , , , , , , , & show all
Article: 2246185 | Received 21 Jun 2023, Accepted 04 Aug 2023, Published online: 23 Aug 2023

References

  • Sikorski C, Yang S, Stennett R, Miller V, Teo K, Anand SS, Paré G, Yusuf S, Dehghan M, Mente A. Changes in energy, macronutrient, and food consumption in 47 countries over the last 70 years (1950-2019): a systematic review and meta-analysis. Nutr. 2023;108:111941. doi:10.1016/j.nut.2022.111941.
  • Snetselaar LG, de Jesus JM, DeSilva DM, Stoody EE. Dietary guidelines for Americans, 2020–2025. Nutr Today. 2021;56(6):287–15. doi:10.1097/NT.0000000000000512.
  • Campos V, Tappy L, Bally L, Sievenpiper JL, KA L. Importance of carbohydrate quality: What does it mean and How to measure it? J Nutr. 2022;152(5):1200–1206. doi:10.1093/jn/nxac039.
  • Santiago S, Zazpe I, Bes-Rastrollo M, Sánchez-Tainta A, Sayón-Orea C, De La Fuente-Arrillaga C, Benito S, Martínez JA, Martínez-González M. Carbohydrate quality, weight change and incident obesity in a Mediterranean cohort: the SUN project. Eur J Clin Nutr. 2015;69(3):297–302. doi:10.1038/ejcn.2014.187.
  • Reynolds A, Mann J, Cummings J, Winter N, Mete E, Te Morenga L. Carbohydrate quality and human health: a series of systematic reviews and meta-analyses. Lancet. 2019;393(10170):434–445. doi:10.1016/S0140-6736(18)31809-9.
  • Augustin LSA, Kendall CWC, Jenkins DJA, Willett WC, Astrup A, Barclay AW, Björck I, Brand-Miller JC, Brighenti F, Buyken AE, et al. Glycemic index, glycemic load and glycemic response: an International scientific consensus summit from the International carbohydrate quality consortium (ICQC). Nutr, Metab, Cardiovasc Dis. 2015;25(9):795–815. doi:10.1016/j.numecd.2015.05.005.
  • Zazpe I, Sánchez-Taínta A, Santiago S, De La Fuente-Arrillaga C, Bes-Rastrollo M, Martínez JA, Martínez-González MÁ. Association between dietary carbohydrate intake quality and micronutrient intake adequacy in a Mediterranean cohort: the SUN (seguimiento universidad de Navarra) project. Br J Nutr. 2014;111:2000–2009. doi:10.1017/S0007114513004364.
  • Kim DY, Kim SH, Lim H. Association between dietary carbohydrate quality and the prevalence of obesity and hypertension. J Hum Nutr Diet. 2018;31(5):587–596. doi:10.1111/jhn.12559.
  • Martínez-González MA, Fernandez-Lazaro CI, Toledo E, Diáz-López A, Corella D, Goday A, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, et al. Carbohydrate quality changes and concurrent changes in cardiovascular risk factors: a longitudinal analysis in the PREDIMED-Plus randomized trial. Am J Clin Nutr. 2020;111(2):291–306. doi:10.1093/ajcn/nqz298.
  • Sonnenburg JL, Bäckhed F. Diet–microbiota interactions as moderators of human metabolism. Nature. 2016;535(7610):56–64. doi:10.1038/nature18846.
  • Ebrahimzadeh Leylabadlo H, Sanaie S, Sadeghpour Heravi F, Ahmadian Z, Ghotaslou R. From role of gut microbiota to microbial-based therapies in type 2-diabetes. Infect Genet Evol. 2020;81:104268. doi:10.1016/j.meegid.2020.104268.
  • Ebrahimzadeh Leylabadlo H, Ghotaslou R, Samadi Kafil H, Feizabadi MM, Moaddab SY, Farajnia S, Sheykhsaran E, Sanaie S, Shanehbandi D, Bannazadeh Baghi H. Non-alcoholic fatty liver diseases: from role of gut microbiota to microbial-based therapies. Eur J Clin Microbiol Infect Dis. 2020;39(4):613–627. doi:10.1007/s10096-019-03746-1.
  • Yatsunenko T, Rey FE, Manary MJ, Trehan I, Dominguez-Bello MG, Contreras M, Magris M, Hidalgo G, Baldassano RN, Anokhin AP, et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222–227. doi:10.1038/nature11053.
  • Al-Assal K, Martinez AC, Torrinhas RS, Cardinelli C, Waitzberg D. Gut microbiota and obesity. Clin Nutr Exp. 2018;20:60–64. doi:10.1016/j.yclnex.2018.03.001.
  • Ley RE, Turnbaugh PJ, Klein S, Gordon JI. Human gut microbes associated with obesity. Nature. 2006;444(7122):1022–1023. doi:10.1038/4441022a.
  • Aron-Wisnewsky J, Warmbrunn MV, Nieuwdorp M, Clément K. Metabolism and metabolic disorders and the microbiome: the intestinal microbiota associated with obesity, Lipid metabolism, and metabolic health—pathophysiology and therapeutic strategies. Gastroenterol. 2021;160(2):573–599. doi:10.1053/j.gastro.2020.10.057.
  • Human Microbiome Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature. 2012;486(7402):207–214. doi:10.1038/nature11234.
  • Johnson EL, Heaver SL, Walters WA, Ley RE. Microbiome and metabolic disease: revisiting the bacterial phylum bacteroidetes. J Mol Med (Berl). 2017;95(1):1–8. doi:10.1007/s00109-016-1492-2.
  • Brahe LK, Le Chatelier E, Prifti E, Pons N, Kennedy S, Hansen T, Pedersen O, Astrup A, Ehrlich SD, Larsen LH. Specific gut microbiota features and metabolic markers in postmenopausal women with obesity. Nutr & Diabetes. 2015;5(6):e159–e159. doi:10.1038/nutd.2015.9.
  • Etxeberria U, Hijona E, Aguirre L, Milagro FI, Bujanda L, Rimando AM, Martínez JA, Portillo MP. Pterostilbene-induced changes in gut microbiota composition in relation to obesity. Mol Nutr Food Res. 2017;61(1):1500906. doi:10.1002/mnfr.201500906.
  • Lai ZL, Tseng CH, Ho HJ, Cheung CKY, Lin JY, Chen YJ, Cheng FC, Hsu YC, Lin JT, El-Omar EM, et al. Fecal microbiota transplantation confers beneficial metabolic effects of diet and exercise on diet-induced obese mice. Sci Rep. 2018;8(1):15625. doi:10.1038/s41598-018-33893-y.
  • Lim MY, You HJ, Yoon HS, Kwon B, Lee JY, Lee S, Song YM, Lee K, Sung J, Ko G. The effect of heritability and host genetics on the gut microbiota and metabolic syndrome. Gut. 2017;66(6):1031–1038. doi:10.1136/gutjnl-2015-311326.
  • Huber-Ruano I, Calvo E, Mayneris-Perxachs J, Rodríguez-Peña MM, Ceperuelo-Mallafré V, Cedó L, Núñez-Roa C, Miro-Blanch J, Arnoriaga-Rodríguez M, Balvay A, et al. Orally administered odoribacter laneus improves glucose control and inflammatory profile in obese mice by depleting circulating succinate. Microbiome. 2022;10(1):135. doi:10.1186/s40168-022-01306-y.
  • Atzeni A, Bastiaanssen TFS, Cryan JF, Tinahones FJ, Vioque J, Corella D, Fitó M, Vidal J, Moreno-Indias I, Gómez-Pérez AM, et al. Taxonomic and functional fecal microbiota signatures associated with insulin resistance in non-diabetic subjects with overweight/obesity within the frame of the PREDIMED-Plus study. Front Endocrinol (Lausanne). 2022;13. doi:10.3389/fendo.2022.804455.
  • Waters JL, Ley RE. The human gut bacteria christensenellaceae are widespread, heritable, and associated with health. BMC Biol. 2019;17(1):17. doi:10.1186/s12915-019-0699-4.
  • Tavella T, Rampelli S, Guidarelli G, Bazzocchi A, Gasperini C, Pujos-Guillot E, Comte B, Barone M, Biagi E, Candela M, et al. Elevated gut microbiome abundance of christensenellaceae, porphyromonadaceae and rikenellaceae is associated with reduced visceral adipose tissue and healthier metabolic profile in Italian elderly. Gut Microbes. 2021;13(1):1–19. doi:10.1080/19490976.2021.1880221.
  • Garcia-Mantrana I, Selma-Royo M, Alcantara C, Collado MC. 2018. Shifts on gut microbiota associated to Mediterranean diet adherence and specific dietary intakes on general adult population. Front Microbiol. 9. doi:10.3389/fmicb.2018.00890.
  • Chassard C, Lacroix C. Carbohydrates and the human gut microbiota. Curr Opin Clin Nutr Metab Care. 2013;16(4):453–460. doi:10.1097/MCO.0b013e3283619e63.
  • Liu H, Wang J, He T, Becker S, Zhang G, Li D, Ma X. Butyrate: a double-edged sword for health?. Advanc Nutr. 2018;9:21–29. doi:10.1093/advances/nmx009.
  • Amiri P, Hosseini SA, Ghaffari S, Tutunchi H, Ghaffari S, Mosharkesh E, Asghari S, Roshanravan N. Role of butyrate, a gut microbiota derived metabolite, in cardiovascular diseases: a comprehensive narrative review. Front Pharmacol. 2022;12:12. doi:10.3389/fphar.2021.837509.
  • Crovesy L, Masterson D, Rosado EL. Profile of the gut microbiota of adults with obesity: a systematic review. Eur J Clin Nutr2020. 2020;74(9):1251–1262. doi:10.1038/s41430-020-0607-6.
  • Mayorga-Ramos A, Barba-Ostria C, Simancas-Racines D, Guamán LP. 2022. Protective role of butyrate in obesity and diabetes: new insights. Front Nutr. 9. doi:10.3389/fnut.2022.1067647.
  • De La Fuente-Arrillaga C, Vzquez Ruiz Z, Bes-Rastrollo M, Sampson L, Martinez-González MA. Reproducibility of an FFQ validated in Spain. Public Health Nutr. 2010;13(9):1364–1372. doi:10.1017/S1368980009993065.
  • Fernández-Ballart JD, Piñol JL, Zazpe I, Corella D, Carrasco P, Toledo E, Perez-Bauer M, Martínez-González MÁ, Salas-Salvadó J, Martn-Moreno JM. Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain. Br J Nutr. 2010;103(12):1808–1816. doi:10.1017/S0007114509993837.
  • Gupta S, Mortensen MS, Schjørring S, Trivedi U, Vestergaard G, Stokholm J, Bisgaard H, Krogfelt KA, Sørensen SJ. Amplicon sequencing provides more accurate microbiome information in healthy children compared to culturing. Commun Biol. 2019;2(1):291. doi:10.1038/s42003-019-0540-1.
  • Durazzi F, Sala C, Castellani G, Manfreda G, Remondini D, De Cesare A. Comparison between 16S rRNA and shotgun sequencing data for the taxonomic characterization of the gut microbiota. Sci Rep. 2021;11(1):11. doi:10.1038/s41598-021-82726-y.
  • Zuo W, Wang B, Bai X, Luan Y, Fan Y, Michail S, Sun F. 16S rRNA and metagenomic shotgun sequencing data revealed consistent patterns of gut microbiome signature in pediatric ulcerative colitis. Sci Rep. 2022;12(1):12. doi:10.1038/s41598-022-07995-7.
  • Salas-Salvadó J, Díaz-López A, Ruiz-Canela M, Basora J, Fitó M, Corella D, Serra-Majem L, Wärnberg J, Romaguera D, Estruch R, et al. Effect of a lifestyle intervention program with energy-restricted Mediterranean diet and exercise on weight loss and cardiovascular risk factors: one-year results of the PREDIMED-Plus trial. Diabetes Care. 2019;42(5):777–788. doi:10.2337/dc18-0836.
  • de la Fuente-Arrillaga C, Vázquez Ruiz Z, Bes-Rastrollo M, Sampson L, Martinez-González MA. Reproducibility of an FFQ validated in Spain. Public Health Nutr. 2010;13(9):1364–1372. doi:10.1017/S1368980009993065.
  • Molina L, Sarmiento M, Peñafiel J, Donaire D, Garcia-Aymerich J, Gomez M, Ble M, Ruiz S, Frances A, Schröder H, et al. Validation of the regicor short physical activity questionnaire for the adult population. PLoS One [Internet]. 2017;12(1):e0168148. doi:10.1371/journal.pone.0168148.
  • Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412–419. doi:10.1007/BF00280883.
  • Moreiras O, Carbajal Á, Cabrera L, Cuadrado C. Tablas de composición de alimentos. 19a edició ed. Madrid, Spain: Ediciones Pirámide; 2018.
  • Atkinson FS, Foster-Powell K, Brand-Miller JC. International tables of glycemic index and glycemic load values: 2008. Diabetes Care. 2008;31(12):2281–2283. doi:10.2337/dc08-1239.
  • Schröder H, Zomeño MD, Martínez-González MA, Salas-Salvadó J, Corella D, Vioque J, Romaguera D, Martínez JA, Tinahones FJ, Miranda JL, et al. Validity of the energy-restricted Mediterranean diet adherence screener. Clin Nutr. 2021;40(8):4971–4979. doi:10.1016/j.clnu.2021.06.030.
  • Atzeni A, Martínez MÁ, Babio N, Konstanti P, Tinahones FJ, Vioque J, Corella D, Fitó M, Vidal J, Moreno-Indias I, et al. Association between ultra-processed food consumption and gut microbiota in senior subjects with overweight/obesity and metabolic syndrome. Front Nutr. 2022;9. https://www.frontiersin.org/articles/10.3389/fnut.2022.976547/full.
  • Chao A. Estimating the population size for capture-recapture data with unequal catchability. Biometric [Internet]. 1987;43(4):783. https://www.jstor.org/stable/2531532?origin=crossref.
  • Shannon CE. A mathematical theory of communication. Bell System Tech J [Internet]. 1948;27(4):623–656. doi:10.1002/j.1538-7305.1948.tb00917.x.
  • Simpson EH. Measurement of diversity. Nature [Internet]. 1949;163(4148):688. doi:10.1038/163688a0.
  • Bastiaanssen TFS, Quinn TP, Loughman A. Treating bugs as features: a compositional guide to the statistical analysis of the microbiome-gut-brain axis. 2022. https://arxiv.org/pdf/2207.12475v1.pdf
  • Aitchison J, Barceló-Vidal C, Martín-Fernández JA, Pawlowsky-Glahn V. Logratio analysis and compositional distance. Math Geol. 2000;32(3):271–275. doi:10.1023/A:1007529726302.
  • Mallick H, Rahnavard A, McIver LJ, Ma S, Zhang Y, Nguyen LH, Tickle TL, Weingart G, Ren B, Schwager EH, et al. Multivariable association discovery in population-scale meta-omics studies. PLoS Comput Biol. 2021;17(11):1–27. doi:10.1371/journal.pcbi.1009442.
  • Douglas GM, Maffei VJ, Zaneveld JR, Yurgel SN, Brown JR, Taylor CM, Huttenhower C, Langille MGI. PICRUSt2 for prediction of metagenome functions. Nat Biotechnol [Internet]. 2020;38(6):685–688. doi:10.1038/s41587-020-0548-6.
  • Caspi R, Billington R, Keseler IM, Kothari A, Krummenacker M, Midford PE, Ong WK, Paley S, Subhraveti P, Karp PD. The MetaCyc database of metabolic pathways and enzymes - a 2019 update. Nucleic Acids Res [Internet]. 2020;48(D1):D445–53. doi:10.1093/nar/gkz862.