Colonic microbiota profile characterization of the responsiveness to dietary fibre treatment in hypercholesterolemia
Open accessAbstract
This study aimed to determine how the microbiota profile might be predisposed to a better response in blood lipid profiles due to dietary fibre supplementation. A three-arm intervention study that included three different fibre types (mainly insoluble, soluble, and antioxidant fibre) supplemented (19.2 g/day) during 2 months in individuals with hypercholesterolemia was developed. Changes in faecal microbiota and blood lipid profile after fibre supplementation were determined. In all volunteers, regardless of fibre type, an increase in the abundance of Bifidobacterium was observed, and similarly, an inverse relationship between faecal propionic acid and blood LDL-cholesterol, LDL particle size, and LDL/HDL particle ratio (p-values 0.0067, 0.0002, and 0.0067, respectively) was observed. However, not all volunteers presented an improvement in lipid profile. The non-responders to fibre treatment showed a decrease in microbiota diversity (Shannon and Simpson diversity index p-values of 0.0110 and 0.0255, respectively) after the intervention; where the reduction in short-chain fatty acids (SCFAs) producing bacterial genera such as Clostridium XIVa and Ruminococcus after dietary fibre treatment was the main difference. It was concluded that the non-responsiveness to dietary fibre treatment might be mediated by the lack of ability to maintain a stable SCFA producing bacteria diversity and composition after extra fibre intake.
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Certain bacterial clusters, such as Clostridium and Ruminococcus, have been associated with the production of SCFAs.
“Furthermore, certain bacterial clusters, such as Clostridium and Ruminococcus have been associated with the production of SCFAs (Granado-Serrano et al., 2022).”
From Lactiplantibacillus plantarum N4 ameliorates lipid metabolism and gut microbiota structure in high fat diet-fed rats (2024) · cites this paper as Granado-Serrano et al., 2022
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Cites
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192 · see citing works
Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes
Zhao, L., Zhang, F., Ding, X., Wu, G., Lam, Y. Y., Wang, X., Fu, H., Xue, X., Lu, C., Ma, J., et al. (2018) · Science · doi:10.1126/science.aao5774 · Cited by 2,304 · see citing works
The role of pH in determining the species composition of the human colonic microbiota
Duncan, S. H., Louis, P., Thomson, J. M., & Flint, H. J. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.01931.x · Cited by 786 · see citing works
Schmidt, T. M., Baxter, N. T., Waldron, C., Alexander, S. W., Venkataraman, A., & Kim, K. (2019) · mBio · doi:10.1128/mbio.02566-18 · Cited by 773 · see citing works
Host variables confound gut microbiota studies of human disease
Vujkovic-Cvijin, I., Sklar, J., Jiang, L., Natarajan, L., Knight, R., & Belkaid, Y. (2020) · Nature · doi:10.1038/s41586-020-2881-9 · Cited by 614 · see citing works
Mora, S., Szklo, M., Otvos, J. D., Greenland, P., Psaty, B. M., Goff, D. C., O’Leary, D. H., Saad, M. F., Tsai, M. Y., & Sharrett, A. R. (2007) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2006.05.007 · Cited by 380 · see citing works
Xiao, S., Fei, N., Pang, X., Shen, J., Wang, L., Zhang, B., Zhang, M. H., Zhang, X., Zhang, C., Li, M., et al. (2013) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12228 · Cited by 376 · see citing works
Vanegas, S. M., Meydani, M., Barnett, J. B., Goldin, B., Kane, A., Rasmussen, H., Brown, C., Vangay, P., Knights, D., Jonnalagadda, S., et al. (2017) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.146928 · Cited by 277 · see citing works
Healey, G., Murphy, R., Butts, C., Brough, L., Whelan, K., & Coad, J. (2018) · British Journal Of Nutrition · doi:10.1017/s0007114517003440 · Cited by 267 · see citing works
Costabile, A., Kolida, S., Klinder, A., Gietl, E., Bäuerlein, M., Frohberg, C., Landschütze, V., & Gibson, G. R. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510001571 · Cited by 215 · see citing works
Kim, Y., & Je, Y. (2016) · Archives of Cardiovascular Diseases · doi:10.1016/j.acvd.2015.09.005 · Cited by 212 · see citing works
Liposcale: a novel advanced lipoprotein test based on 2D diffusion-ordered 1H NMR spectroscopy
Mallol, R., Amigó, N., Rodriguez, M. A., Heras, M., Vinaixa, M., Plana, N., Rock, E., Ribalta, J., Yanes, Ó., Masana, L., et al. (2015) · Journal of Lipid Research · doi:10.1194/jlr.d050120 · Cited by 199 · see citing works
Microbiota and Lifestyle: A Special Focus on Diet
Redondo-Useros, N., Nova, E., González-Zancada, N., Díaz, L. E., Gómez-Martínez, S., & Marcos, A. (2020) · Nutrients · doi:10.3390/nu12061776 · Cited by 189 · see citing works
Lluch, J., Servant, F., Païssé, S., Valle, C., Valière, S., Kuchly, C., Vilchez, G., Donnadieu, C., Courtney, M., Burcelin, R., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142334 · Cited by 187 · see citing works
Holscher, H. D., Bauer, L. L., Gourineni, V., Pelkman, C., Fahey, G. C., Jr., & Swanson, K. S. (2015) · Journal of Nutrition · doi:10.3945/jn.115.217331 · Cited by 180 · see citing works
Dietary fibre for the primary prevention of cardiovascular disease
Hartley, L., May, M. D., Loveman, E., Colquitt, J. L., & Rees, K. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011472.pub2 · Cited by 179 · see citing works
Faecal bacterial and short-chain fatty acids signature in hypercholesterolemia
Granado-Serrano, A. B., Martín-Garí, M., Sánchez, V., Riart Solans, M., Berdún, R., Ludwig, I. A., Rubió, L., Vilaprinyó, E., Portero-Otín, M., & Serrano, J. C. E. (2019) · Scientific Reports · doi:10.1038/s41598-019-38874-3 · Cited by 169 · see citing works
Self-citationGriffin, N. W., Ahern, P. P., Cheng, J., Heath, A. C., Ilkayeva, O., Newgard, C. B., Fontana, L., & Gordon, J. I. (2017) · Cell Host & Microbe · doi:10.1016/j.chom.2016.12.006 · Cited by 164 · see citing works
Alfa, M. J., Strang, D., Tappia, P. S., Graham, M., Van Domselaar, G., Forbes, J. D., Laminman, V., Olson, N., DeGagne, P., Bray, D., et al. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2017.03.025 · Cited by 149 · see citing works
Saeb, A. T. M., Al-Rubeaan, K. A., Aldosary, K., Udaya Raja, G. K., Mani, B., Abouelhoda, M., & Tayeb, H. T. (2019) · Microbial Pathogenesis · doi:10.1016/j.micpath.2019.01.009 · Cited by 107 · see citing works
DE PRETER, V., VANHOUTTE, T., HUYS, G., SWINGS, J., RUTGEERTS, P., & VERBEKE, K. (2008) · Alimentary Pharmacology & Therapeutics · doi:10.1111/j.1365-2036.2007.03588.x · Cited by 104 · see citing works
Torii, T., Kanemitsu, K., Wada, T., Itoh, S., Kinugawa, K., & Hagiwara, A. (2010) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1258/acb.2010.010047 · Cited by 104 · see citing works
Lappi, J., Salojärvi, J., Kolehmainen, M., Mykkänen, H. M., Poutanen, K. S., de Vos, W. M., & Salonen, A. (2013) · Journal of Nutrition · doi:10.3945/jn.112.172668 · Cited by 102 · see citing works
Ampatzoglou, A., Atwal, K., Maidens, C. M., Williams, C. L., Ross, A. B., Thielecke, F., Jonnalagadda, S. S., Kennedy, O. B., & Yaqoob, P. (2014) · Journal of Nutrition · doi:10.3945/jn.114.202176 · Cited by 95 · see citing works
Dietary Fibre as a Unifying Remedy for the Whole Spectrum of Obesity-Associated Cardiovascular Risk
Bozzetto, L., Costabile, G., Pepa, G. D., Ciciola, P., Vetrani, C., Vitale, M., Rivellese, A. A., & Annuzzi, G. (2018) · Nutrients · doi:10.3390/nu10070943 · Cited by 95 · see citing works
Gut microbiome and lipid metabolism
Wang, Z., Koonen, D. P. Y., Hofker, M. H., & Fu, J. (2016) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000308 · Cited by 94 · see citing works
Eriksen, A. K., Brunius, C. F., Mazidi, M., Hellström, P. M., Risérus, U., Iversen, K., Fristedt, R., Sun, L., Huang, Y., Nørskov, N. P., et al. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa026 · Cited by 94 · see citing works
Whole grain cereals for the primary or secondary prevention of cardiovascular disease
Kelly, S. A., Hartley, L., Loveman, E., Colquitt, J. L., Jones, H. M., Al-Khudairy, L., Clar, C., Germanò, R., Lunn, H. R., Frost, G. S., et al. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005051.pub3 · Cited by 84 · see citing works
Zanotti, I., Turroni, F., Piemontese, A., Mancabelli, L., Milani, C., Viappiani, A., Prevedini, G., Sánchez, B., Margollés, A., Elviri, L., et al. (2015) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-015-6564-7 · Cited by 72 · see citing works
Dietary fibre for the primary prevention of cardiovascular disease
Hartley, L., May, M. D., & Rees, K. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011472 · Cited by 69 · see citing works
Ruscica, M., Pavanello, C., Gandini, S., Macchi, C., Botta, M., Dall’Orto, D., Puppo, M. D., Bertolotti, M., Bosisio, R., Mombelli, G. G., et al. (2019) · Nutrition Journal · doi:10.1186/s12937-019-0438-2 · Cited by 60 · see citing works
Wu, G. G., Zhang, C., Wu, H., Wang, R., Shen, J., Wang, L., Zhao, Y., Pang, X., Zhang, X., Zhao, L., et al. (2017) · mBio · doi:10.1128/mbio.02348-16 · Cited by 53 · see citing works
Within-person variation in serum lipids: implications for clinical trials
Pereira, M. A. (2004) · International Journal of Epidemiology · doi:10.1093/ije/dyh057 · Cited by 47 · see citing works
Major Lipids, Apolipoproteins, and Alterations of Gut Microbiota
Yun, K. E., Kim, J., Kim, M.-H., Park, E., Kim, H., Chang, Y., Ryu, S., & Kim, H. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051589 · Cited by 40 · see citing works
Flagged first, then by citations
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Diet-gut microbiota-epigenetics in metabolic diseases: From mechanisms to therapeutics
Li, D. X., Li, Y., Yang, S., Lu, J., Jin, X., & Wu, M. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113290 · Cited by 186 · see citing works
López‐Moreno, M., Fresán, U., Coso, J. D., Aguilar‐Navarro, M., López, M. T. I., Pena-Fernández, J., Muñoz, A., & Gutiérrez‐Hellín, J. (2024) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2024.08.008 · Cited by 22 · see citing works
Beneficial microbiome and diet interplay in early-onset colorectal cancer
Zhou, Z., Kleis, L., Depetris-Chauvin, A., Jaskulski, S., Damerell, V., Michels, K. B., Gigic, B., Nöthlings, U., & Panagiotou, G. (2024) · EMBO Molecular Medicine · doi:10.1038/s44321-024-00177-0 · Cited by 19 · see citing works
Low-Molecular-Weight Compounds Produced by the Intestinal Microbiota and Cardiovascular Disease
Cuervo, L., McAlpine, P. L., Olano, C., Fernández, J., & Lombó, F. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910397 · Cited by 17 · see citing works
Deng, M., Zhang, S., Wu, S., Jiang, Q., Teng, W., Luo, T., Ouyang, Y., Liu, J., & Gu, B. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1390293 · Cited by 15 · see citing works
Understanding the role of the human gut microbiome in overweight and obesity
McBurney, M. I., & Cho, C. E. (2024) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.15215 · Cited by 11 · see citing works
Feng, C., Cai, C., Deehan, E. C., Jiang, S., Yang, M., Weng, Z., Long, J., Li, G., Li, J., Liu, J., et al. (2024) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2024.104837 · Cited by 11 · see citing works
Rudzka, A., Patloka, O., Płecha, M., Zborowski, M., Królikowski, T., Oczkowski, M., Kołożyn‐Krajewska, D., Kruk, M., Karbowiak, M., Mosiej, W., et al. (2025) · Nutrients · doi:10.3390/nu17193093 · Cited by 9 · see citing works
López‐Moreno, M., Fresán, U., Coso, J. D., Muñoz, A., Aguilar‐Navarro, M., López, M. T. I., Amaro‐Gahete, F. J., & Gutiérrez‐Hellín, J. (2025) · Nutrients · doi:10.3390/nu17142274 · Cited by 5 · see citing works
Moving forward the Effects of Gene–Diet Interactions on Human Health
Konstantinidou, V., & García‐Santamarina, S. (2022) · Nutrients · doi:10.3390/nu14183782 · Cited by 2 · see citing works
Jiang, S., Cai, C., Deehan, E. C., Chen, J., Feng, C., Yang, M., Weng, Z., Long, J., Xie, J., Lin, S., et al. (2025) · Food Research International · doi:10.1016/j.foodres.2025.116866
Amran, M. A. I., Lim, S. M., Neoh, C. F., Majeed, A. B. A., Ramli, A. S., & Ramasamy, K. (2026) · Advanced Pharmaceutical Bulletin · doi:10.34172/apb.46477
Adam, S. Y., Sayed, H., Ahmed, A. A., Osman, H. A., Abaker, A. O., Mohammed, L. A., Pan, S., Basher, A. A., Manyelo, T. G., Tyasi, T. L., et al. (2026) · Nutrition · doi:10.1016/j.nut.2026.113470
- Authors
- Granado-Serrano, A. B., Martín-Garí, M., Sánchez, V., Riart Solans, M., Lafarga Giribets, A., Berdún, R., Vilaprinyó, E., Portero-Otín, M., & Serrano, J. C. E.
- Affiliations
- NUTREN-Nutrigenomics, Department of Experimental Medicine, University of Lleida, 25198 Lleida, Spain
- Institut Català de la Salut (ES)
- Institut Català de la Salut, 08028 Barcelona, Spain
- Universitat de Lleida (ES)
- Corresponding author
- Serrano, José C. E.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2022-01-25
- Volume
- 14
- Issue
- 3
- Pages
- 525
- ISSN
- 2072-6643 (ISSN-L)
- PMC
- PMC8839280
- OpenAlex
- W4210707301
- Cited by
- 12
- References
- 34
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 6 · 2022: 2
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nutrients (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Repositori ObertUDL (University of Lleida) (submittedVersion, cc-by)
- Funders
- Agencia per a la Competitivit de l'Empresa (TECSPR14-0-0023)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Food composition and properties
- Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
- Keywords
- colonic microbiota, dietary fiber supplementation, hypercholesterolemia, lipid profile, LDL cholesterol, LDL particle size, LDL/HDL ratio, Bifidobacterium, propionic acid, short-chain fatty acids, Clostridium XIVa, Ruminococcus, microbiome diversity, treatment response, insoluble dietary fiber, soluble dietary fiber
- MeSH terms
- Gastrointestinal Microbiome, Dietary Fiber, Fatty Acids, Volatile, Humans, Hypercholesterolemia, Microbiota
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