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EDITORIAL article

Front. Microbiol., 17 September 2024
Sec. Food Microbiology
This article is part of the Research Topic Interactions between Bioactive Food Ingredients and Intestinal Microbiota, volume II View all 16 articles

Editorial: Interactions between bioactive food ingredients and intestinal microbiota, volume II

  • 1School of Food Science, Nanchang University, Nanchang, China
  • 2School of Food Science and Technology, Dalian Polytechnic University, Dalian, China
  • 3Department of Biological Sciences, School of Science and Technology, Georgia Gwinnett College, Lawrenceville, GA, United States

To date, human health has been greatly benefited from the rapid development of the multiple “omics” techniques (Babu and Snyder, 2023; Karczewski and Snyder, 2018; Dai and Shen, 2022; Mohr et al., 2024; Yurkovich et al., 2024; Hao et al., 2022), in combination with various application strategies, such as the use of dietary nutrients in the regulation of intestinal microbiota (Nayak et al., 2021; Si et al., 2021; Hasin et al., 2017). It is well-known that numerous biological functions, e.g., immune system, energy and intestinal homeostasis of the host, and metabolic activities, involved in human health are regulated by the human gut microbiota, which includes diverse groups of bacteria, fungi, viruses, and protozoa inhabiting the gastrointestinal tract (Fan and Pedersen, 2021; Gebrayel et al., 2022). Therefore, it is extremely important to determine how different diets shape the composition and function of gut microbiome and to explore the associations between diet (nutrition), host, and microbes for the development of precision nutrition and microbiome-based therapies for various medical disorders (Van Hul et al., 2024; Ross et al., 2024; Dmytriv et al., 2024; Jacquier et al., 2024; Li et al., 2024; Pires et al., 2024; Duffuler et al., 2024; Wu et al., 2024; Osawa et al., 2024; Singh et al., 2021; Wang et al., 2019: Han et al., 2021; Ray and Mukherjee, 2021; Deehan et al., 2020). Currently, the molecular mechanisms underlying the interactions among food nutrients, prebiotics, gut microbiota, and host health remain largely unknown.

Considering the rapid advancements in exploring of the associations among food nutrients, gut microbiota, and human health, we emphasize the significance of enhancing global scientific research on the interactions between food nutrient and gut microbiota, and their roles in developing dysbiosis and low-grade inflammation during the intestinal barrier dysfunction and metabolic disorders in hosts and in developing effective dietary treatments for various medical disorders in human.

Building on the success of our Research Topic titled “Interactions between bioactive food ingredients and intestinal microbiota” in the journal Frontiers in Microbiology (Ruan et al., 2022), we summarize the main results of a total of 15 publications contributed by 115 contributors in Volume II of this Research Topic with the same topics widely explored. Most of the contributions collected in this Research Topic were performed based mainly on animal models, i.e., eight articles on mouse models of a total of six medical disorders, and humans of either healthy subjects or patients of two medical disorders (i.e., colorectal cancer and kidney disease), using various well-established “omics” analyses. The main outcomes of these contributions are summarized below.

First, a total of five contributions were based on healthy human subjects to explore the effects of various substances on the gut microbiome. Vizioli et al. investigated the potential effect of probiotics, yogurt supplemented with Streptococcus thermophilus, Lactobacillus delbrueckii, and Bifidobacterium animalis subsp. lactis strain BB-12, on the gut microbiome and metabolome of a total of 59 healthy children using untargeted metabolomics and shotgun metagenomics analyses. Their results showed that in 10 days, the relative abundances of these probiotics were significantly increased, indicating the impact of probiotics on the bacteria of interest in the gut microbiome. However, the protective gastrointestinal effect of the functional metabolite changes would be verified by longer intervention durations in children at risk for gastrointestinal disorders. Corrêa et al. studied the effects of Moro orange (Citrus sinensis L. Osbeck) juice (MOJ) on gut microbiota composition and subsequent changes in the levels of cardiometabolic biomarkers in a total of 12 overweight women, demonstrating the importance of orange juice intake duration, as observed in the evident variations in the beneficial changes (e.g., blood pressure improvement) between 2- and 4-week interval of MOJ intake. This study provided strong experimental evidence to support that changes in specific operational taxonomic units (OTUs) of the gut microbiota in response to MOJ intake were associated with significant improvements in some cardiometabolic biomarkers and short-chain fatty acid (SCFA) levels in overweight women with insulin resistance. Gu et al. explored the potential effects of citrus pectin-type polysaccharides, including (1) the pectin polysaccharide (PEC), which was the partially hydrolyzed pectin (PPH), and (2) the pectin oligosaccharide (POS), on the improvement of aging-associated dysbiosis and the levels of SCFAs of the gut microbiota using five healthy elderly volunteers (70–75 years) and five younger adults (30–35 years). The main results showed that these pectins boosted various bacterial groups differently from the reference prebiotic substrate (inulin), and the in vitro modulating effects of pectins on elderly gut microbiota revealed significant potential of using pectins to improve age-related dysbiosis. The authors indicated that further human intervention studies were necessary to verify the potential effects of pectins observed in this study. Rawi et al. identified the putative primary degraders (i.e., gum-fermenting bacteria) of commercial acacia (Acacia senegal) gum, which was composed of arabinogalactan branched polysaccharide and was marketed as a functional dietary fiber to improve overall human gut health, in the gut ecosystem of three healthy human subjects based on enrichment culture fermentation in an anaerobic chamber for 144 h. Based on the 16S RNA sequencing, a total of five bacterial strains were found to be gum-fermenting bacteria and matched to butyrate-producing Escherichia fergusonii, ATCC 35469. This study confirmed the use of acacia gum as a potential prebiotic and an alternative approach for mediating gut illness. Lan et al. screened strains of Bifidobacterium animalis subsp. lactis with differential oligosaccharide metabolism to subsequently perform genome-wide resequencing and real time quantitative PCR (RT-qPCR) analyses in mothers and their infants. The authors further explored the mechanism underlying the differences in B. animalis subsp. lactis oligosaccharide metabolism, revealing that the variations in the gene transcription levels led to intraspecies differences in the ability of the strains to metabolize oligosaccharides even when they belonged to the same subspecies, providing strong experimental evidence to support the utilization of B. animalis subsp. lactis strains as probiotics and the development of synbiotic products.

Second, two publications were based on patients of two diseases, colorectal cancer and kidney disease. Kim et al. assessed the effects of a modified microbiota-accessible carbohydrate (mMAC) (high-fiber) diet on gut microbiota composition and clinical symptoms in two groups of a total of 40 colon cancer patients who underwent surgical resection, those who received adjuvant chemotherapy and those who did not. The main results included the distinct differences in gut microbial composition after the mMAC diet in both the chemotherapy and non-chemotheraphy groups, providing valuable insights into the potential benefits of the mMAC diet, specifically its impact on the gut microbiome and clinical symptoms in postoperative colorectal cancer patients. Lazarevic et al. explored the alternations in gut barrier, composed of gut microbiota and playing pivotal roles in chronic kidney disease (CKD) progression and nutritional status, in a total of 22 hemodialyzed (HD) patients and 11 non-HD (NHD) CKD patients. The main results included that compared to healthy group, HD patients exhibited significant alterations in fecal microbiota composition, a higher systemic inflammation, and a modification in plasma levels of appetite mediators. This study underscored the multifaceted interplay among gut microbiota, physiological markers, and kidney function. It was noted that further investigations in larger cohorts were necessary to verify the findings revealed in this study.

Third, a total of three articles were based on mouse models of colitis. Xia et al. investigated the influence of Litsea cubeba essential oil (LCEO) on lipopolysaccharides (LPS)-induced mouse intestinal inflammation model and associated changes in the gut microbiota, i.e., the therapeutic potential of LCEO for gut health, with particular emphasis on its gut protective properties, as well as the anti-inflammatory properties and modulation of the gut microbiome. This study identified LCEO as a promising natural compound for ameliorating diarrhea and intestinal inflammation, highlighting the need to further explore the complex interplay among the host, gut microbiome, and natural products in the context of inflammatory diseases. Wu et al. examined the effects of an intervention with fructooligosaccharides (FOS), Saccharomyces boulardii, and their combination in a mouse model of colitis and to explore the mechanisms underlying these effects. The results revealed enhanced anti-inflammatory effects of the combined administration of FOS and S. boulardii in treating colitis and colitis-induced intestinal dysbiosis, in comparison to the application of FOS alone. In particular, the combination significantly increases the abundance of beneficial bacteria such as lactobacilli and Bifidobacteria and effectively regulated the gut microbiota composition, providing a scientific rationale for the prevention and treatment of colitis using a combination of FOS and S. boulardii and for the development of nutraceutical preparations containing both FOS and S. boulardii. Zou et al. applied network pharmacology to mine and verify the single active ingredient, puerarin, in Radis puerariae. The authors found that puerarin was a potential ingredient that could improve the crypt deformation and inflammatory infiltration in mice, as observed in the decreased levels of various inflammation related factors, while the results of correlation network and metabolic function prediction analysis of the microbiota revealed a tightly connected network widely involved in carbohydrate metabolism and amino acid metabolism. This study revealed high therapeutic effect of puerarin on ulcerative colitis, which was partially achieved by restoring the composition and abundance of gut microbiota and their metabolism.

Lastly, a total of five contributions were based on mouse models of five different medical disorders. Tian et al. investigated the effect of ursolic acid on obesity depending on the regulation of gut microbiota and metabolism based on the mouse model of obesity established with a high-fat diet using intestinal microbiome and metabolomics analyses. The results revealed that the roles of ursolic acid in the anti-obesity process depended in part on alterations in the gut microbiota and metabolism, highlighting the potential therapeutic effect of ursolic acid on the improvement of diet-induced obesity in humans. Zang et al. explored the mechanism of red quinoa polysaccharide (RQP), which was a complex polysaccharide containing more glucose, galactose and acarbose, in alleviating type 2 diabetes (T2D) through both in vivo and in vitro experiments using the mouse model of T2D induced by high-fat diet. The results showed strong anti-diabetic effects of RQP on T2D and transformed intestinal microbiota composition in diabetic mice, revealing that RQP could inhibit the development of diabetes by correcting the imbalance of intestinal microbiota. Hsiao et al. investigated the use of okra (containing a viscous substance rich in water-soluble material, including fibers, pectin, proteoglycans, gum, and polysaccharides) polysaccharides by microorganisms and their potential to improve microbiota by assessing the regulation of microcapsules prepared from okra polysaccharides with or without Lactiplantibacilus plantarum encapsulation on intestinal microbiota through 16S rRNA metagenomic analysis and SCFAs in the mouse model of Alzheimer's disease (AD). Interestingly, the authors found that both microcapsules prepared from okra polysaccharides either with or without L. plantarum encapsulation improved intestinal microbiota by elevating Lactobacillus levels in AD mice. Feng et al. explore the effects of alcohol intake at different concentrations on gouty arthritis based on the gut microbiota in the mouse model of acute gouty arthritis established by injection of monosodium urate crystals. Based on various morphological and biochemical factors, it was concluded that alcohol of high concentration altered the gut microbiota structure in gouty mice, possibly exacerbating gouty symptoms by enhancing pro-inflammatory pathways. Hua et al. investigated the mechanisms underlying the attenuation effect of hemp seed (HS) and its water-ethanol extract on mice with loperamide-induced constipation. The gut microbiome studies showed that the structure and abundance of intestinal microbiome were altered, as observed in the changed relatively abundances of Odoribacter, Bacteroide, Lactobacillus, and Prevotella. This study revealed the potential of HS to stimulate the proliferation of beneficial gut microbes and promote intestinal motility, thereby improving gut health and relieving symptoms of constipation.

In summary, this Research Topic of contributions highlights recent progress in the relevant fields of human health discussed in this Research Topic and suggests future research directions with potential avenues for scholars to explore. Given the rapid development of techniques for exploring the interactions between bioactive food ingredients and intestinal microbiota, it is expected that significant achievements related to human health will soon emerge from the topics covered in this Research Topic.

Author contributions

ZR: Writing – original draft, Writing – review & editing. XX: Writing – review & editing. FS: Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Babu, M., and Snyder, M. (2023). Multi-omics profiling for health. Mol. Cell. Proteom. 22:100561. doi: 10.1016/j.mcpro.2023.100561

PubMed Abstract | Crossref Full Text | Google Scholar

Dai, X., and Shen, L. (2022). Advances and trends in omics technology development. Front. Med. 9:911861. doi: 10.3389/fmed.2022.911861

PubMed Abstract | Crossref Full Text | Google Scholar

Deehan, E. C., Yang, C., Perez-Muñoz, M. E., Nguyen, N., Cheng, C. C., Triador, L., et al. (2020). Precision microbiome modulation with discrete dietary fiber structures directs short-chain fatty acid production. Cell Host Microbe 27, 389–404. doi: 10.1016/j.chom.2020.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

Dmytriv, T. R., Storey, K. B., and Lushchak, V. I. (2024). Intestinal barrier permeability: the influence of gut microbiota, nutrition, and exercise. Front. Physiol. 15:1380713. doi: 10.3389/fphys.2024.1380713

PubMed Abstract | Crossref Full Text | Google Scholar

Duffuler, P., Bhullar, K. S., and Wu, J. (2024). Targeting gut microbiota in osteoporosis: impact of the microbial based functional food ingredients. Food Sci. Hum. Wellness 13, 1–15. doi: 10.26599/FSHW.2022.9250001

Crossref Full Text | Google Scholar

Fan, Y., and Pedersen, O. (2021). Gut microbiota in human metabolic health and disease. Nat. Rev. Microbiol. 19, 55–71. doi: 10.1038/s41579-020-0433-9

PubMed Abstract | Crossref Full Text | Google Scholar

Gebrayel, P., Nicco, C., Khodor, S. A., Bilinski, J., Caselli, E., Comelli, E. M., et al. (2022). Microbiota medicine: towards clinical revolution. J. Transl. Med. 20:111. doi: 10.1186/s12967-022-03296-9

PubMed Abstract | Crossref Full Text | Google Scholar

Han, S., Lu, Y., Xie, J., Fei, Y., Zheng, G., Wang, Z., et al. (2021). Probiotic gastrointestinal transit and colonization after oral administration: a long journey. Front. Cell. Infect. Microbiol. 11:609722. doi: 10.3389/fcimb.2021.609722

PubMed Abstract | Crossref Full Text | Google Scholar

Hao, X., Cheng, S., Jiang, B., and Xin, S. (2022). Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection. Front. Cardiovasc. Med. 9:961991. doi: 10.3389/fcvm.2022.961991

PubMed Abstract | Crossref Full Text | Google Scholar

Hasin, Y., Seldin, M., and Lusis, A. (2017). Multi-omics approaches to disease. Genome Biol. 18:83. doi: 10.1186/s13059-017-1215-1

PubMed Abstract | Crossref Full Text | Google Scholar

Jacquier, E. F., van de Wouw, M., Nekrasov, E., Contractor, N., Kassis, A., and Marcu, D. (2024). Local and systemic effects of bioactive food ingredients: is there a role for functional foods to prime the gut for resilience? Foods 13:739. doi: 10.3390/foods13050739

PubMed Abstract | Crossref Full Text | Google Scholar

Karczewski, K., and Snyder, M. (2018). Integrative omics for health and disease. Nat. Rev. Genet. 19, 299–310. doi: 10.1038/nrg.2018.4

PubMed Abstract | Crossref Full Text | Google Scholar

Li, S., Feng, W., Wu, J., Cui, H., Wang, Y., Liang, T., et al. (2024). A narrative review: immunometabolic interactions of host–gut microbiota and botanical active ingredients in gastrointestinal cancers. Int. J. Mol. Sci. 25:9096. doi: 10.3390/ijms25169096

PubMed Abstract | Crossref Full Text | Google Scholar

Mohr, A. E., Ortega-Santos, C. P., Whisner, C. M., Klein-Seetharaman, J., and Jasbi, P. (2024). Navigating challenges and opportunities in multi-omics integration for personalized healthcare. Biomedicines 12:1496. doi: 10.3390/biomedicines12071496

PubMed Abstract | Crossref Full Text | Google Scholar

Nayak, S. N., Aravind, B., Malavalli, S. S., Sukanth, B. S., Poornima, R., Bharati, P., et al. (2021). Omics technologies to enhance plant based functional foods: an overview. Front. Genet. 12, 742095. doi: 10.3389/fgene.2021.742095

PubMed Abstract | Crossref Full Text | Google Scholar

Osawa, R., Fukuda, I., and Shirai, Y. (2024). Evaluating functionalities of food components by a model simulating human intestinal microbiota constructed at Kobe University. Curr. Opin. Biotechnol. 87:103103. doi: 10.1016/j.copbio.2024.103103

PubMed Abstract | Crossref Full Text | Google Scholar

Pires, L., Gonzlez-Params, A. M., Heleno, S. A., and Calhelha, R. C. (2024). Exploring therapeutic advances: a comprehensive review of intestinal microbiota modulators. Antibiotics 13:720. doi: 10.3390/antibiotics13080720

PubMed Abstract | Crossref Full Text | Google Scholar

Ray, S. K., and Mukherjee, S. (2021). Evolving interplay between dietary polyphenols and gut microbiota—an emerging importance in healthcare. Front. Nutr. 8:634944. doi: 10.3389/fnut.2021.634944

PubMed Abstract | Crossref Full Text | Google Scholar

Ross, F. C., Patangia, D., Grimaud, G., Lavelle, A., Dempsey, E. M., Ross, R. P., et al. (2024). The interplay between diet and the gut microbiome: implications for health and disease. Nat. Rev. Microbiol. doi: 10.1038/s41579-024-01068-4

PubMed Abstract | Crossref Full Text | Google Scholar

Ruan, Z., Sun, F., Xia, X., and Zhang, G. (2022). Editorial: interactions between bioactive food ingredients and intestinal microbiota. Front. Microbiol. 13:902962. doi: 10.3389/fmicb.2022.902962

PubMed Abstract | Crossref Full Text | Google Scholar

Si, W., Zhang, Y., Li, X., Du, Y., and Xu, Q. (2021). Understanding the functional activity of polyphenols using omics-based approaches. Nutrients 13:3953. doi: 10.3390/nu13113953

PubMed Abstract | Crossref Full Text | Google Scholar

Singh, R., Zogg, H., Wei, L., Bartlett, A., Ghoshal, U. C., Rajender, S., et al. (2021). Gut microbial dysbiosis in the pathogenesis of gastrointestinal dysmotility and metabolic disorders. J. Neurogastroenterol. Motil. 27, 19–34. doi: 10.5056/jnm20149

PubMed Abstract | Crossref Full Text | Google Scholar

Van Hul, M., Neyrinck, A. M., Everard, A., Abot, A., Bindels, L. B., Delzenne, N. M., et al. (2024). Role of the intestinal microbiota in contributing to weight disorders and associated comorbidities. Clin. Microbiol. Rev. 0, e00045–e00023. doi: 10.1128/cmr.00045-23

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, G., Huang, S., Wang, Y., Cai, S., Yu, H., Liu, H., et al. (2019). Bridging intestinal immunity and gut microbiota by metabolites. Cell. Mol. Life Sci. 76, 3917–3937. doi: 10.1007/s00018-019-03190-6

PubMed Abstract | Crossref Full Text | Google Scholar

Wu, J., Singleton, S. S., Bhuiyan, U., Krammer, L., and Mazumder, R. (2024). Multi-omics approaches to studying gastrointestinal microbiome in the context of precision medicine and machine learning. Front. Mol. Biosci. 10:1337373. doi: 10.3389/fmolb.2023.1337373

PubMed Abstract | Crossref Full Text | Google Scholar

Yurkovich, J. T., Evans, S. J., Rappaport, N., Boore, J. L., Lovejoy, J. C., Price, N., et al. (2024). The transition from genomics to phenomics in personalized population health. Nat. Rev. Genet. 25, 286–302. doi: 10.1038/s41576-023-00674-x

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: bioactive food ingredients, gut health, gut microbiota, microbe-microbe interactions, metabolomics

Citation: Ruan Z, Xia X and Sun F (2024) Editorial: Interactions between bioactive food ingredients and intestinal microbiota, volume II. Front. Microbiol. 15:1490884. doi: 10.3389/fmicb.2024.1490884

Received: 03 September 2024; Accepted: 05 September 2024;
Published: 17 September 2024.

Edited and reviewed by: Aldo Corsetti, University of Teramo, Italy

Copyright © 2024 Ruan, Xia and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fengjie Sun, ZnN1biYjeDAwMDQwO2dnYy5lZHU=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.