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EDITORIAL article

Front. Pharmacol., 05 April 2023
Sec. Gastrointestinal and Hepatic Pharmacology
This article is part of the Research Topic Microbiome in IBD: From Composition to Therapy Vol II View all 9 articles

Editorial: Microbiome in IBD: From Composition to Therapy, Volume II

  • 1State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 2Division of Digestive Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States
  • 3Center for IBD Research, Department of Gastroenterology, The Shanghai 10th People’s Hospital, Tongji University, Shanghai, China
  • 4Department of Gastroenterology, The Shanghai 10th People’s Hospital, Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China
  • 5Department of Gastroenterology, First Affiliated Hospital of Kunming Medical University, Yunnan Institute of Digestive Diseases, Kunming, China
  • 6Department of Gastroenterology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
  • 7Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

Inflammatory bowel disease (IBD) is a chronic, non-specific, immune-mediated, inflammatory intestinal disease, which is divided into ulcerative colitis (UC) and Crohn’s disease (CD). IBD debilitates human physical and psychosocial strength and has a rapidly increasing incidence rate in newly industrialized countries (Ng et al., 2017). Although the etiology of IBD remains unclear, emerging sources of evidence have suggested that gut microbiome may significantly affect the pathogenesis, progression, and prognosis of IBD both in animal models and humans directly and/or indirectly (Ni et al., 2017). Therefore, this Research Topic aims to discuss the alteration of the gut microbiome in IBD and its relationship with the treatment of IBD.

Extensive studies have explored the value of multidimensional information, including microbiome data, especially based on SCFA-producing bacteria or certain intestinal microbes, clinical data, and serologic markers, in predicting the prognosis of IBD, which provided higher accuracy and sensitivity. The composition and function of the gut microbiome and their metabolic levels in IBD are reported to be significantly associated with disease severity and response to biological therapy. Furthermore, comprehensive multi-omics data are now integrated to build predictive models in IBD, including metagenomics, proteomics, and metabolomics. Notably, Liu et al. reported that proteomic analysis can identify drug targets on the basis of intestinal biopsy tissue first and serve as predictive biomarkers in response to infliximab, a rescue therapy used for treating refractory UC. In addition to predicting the pathological state of IBD, assessing the activity of IBD is also important, especially in pediatric CD. Li et al. utilized Spearman’s rank correlation test and kappa consistency analysis in pairwise comparisons of several indexes, including MaRIA, CECDAI, PCDAI, and SES-CD. It was demonstrated that MGCE and MRE were beneficial in evaluating small bowel lesions in pediatric CD, being both non-invasive and highly consistent with colonoscopy.

As the first-line therapy for IBD, anti-TNF-α monoclonal antibodies, such as infliximab and adalimumab, could reduce the severity of disease and improve the diversity and composition of gut microbiota in patients with IBD. However, approximately 70% of patients with IBD exhibit primary non-response or secondary loss of response when receiving biological therapy. To tackle this problem, Xiao et al. showed that Bifidobacterium longum CECT 7894 improved the efficacy of infliximab for DSS-induced colitis via the regulation of the intestinal microbiota composition and structure through 16S rRNA sequencing and bile acid metabolism process analyzed by targeted metabolomics. However, the mechanism behind how anti-TNF-α monoclonal antibodies regulate gut microbiota is still not comprehensively illustrated. Chen et al. indicated that distinct alterations of gut microbiota were related to the efficacy of adalimumab in CD patients. Although they discovered that the efficacy of adalimumab was not associated with the location of disease lesions, a retrospective cohort study recently indicated that lesion location can alter their prognosis. For example, CD patients with the L4-esophagogastroduodenal (EGD) phenotype are associated with a better prognosis and lower morbidity of complications (Weng et al.).

Fecal microbiota transplantation (FMT), an emerging high-efficiency treatment, was proposed to improve the efficacy and reduce the side effects of traditional therapy. Several studies have demonstrated that FMT improves the gut microbiome composition and diversity of patients with IBD. Pu et al. reviewed the therapeutic mechanisms of FMT combined with biologics in IBD. Moreover, the authors also pointed out the challenges and potential risks of FMT when applied to adjuvant therapy.

Additionally, Rao et al. discovered that Shenling Baizhu powder (SBP), a type of traditional Chinese medicine, alleviates colitis in rats treated with TNBS. This study revealed that SBP could increase the secretion of mucin and tight junction and inhibit apoptosis to improve intestinal epithelial permeability. It was suggested that there exist certain components in traditional Chinese medicine which may influence the intestinal microecology in IBD and provide new pharmaceutical therapeutic perspectives.

Finally, the state-of-the-art causal inference analysis proved that IFNG and GBP5 were IBD subtype-regulators that triggered more intense innate immunity and inflammatory responses in CD than those in UC (Gao et al.).

Taken together, the studies included in this themed Research Topic have provided novel microbial and therapeutic insights into IBD treatment. With the continuous development of sequencing technologies and bioinformatics methods, an accurate and personalized understanding of the pathogenesis and progression of IBD can be anticipated.

Author contributions

All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.

Acknowledgments

The guest editors would like to personally thank all the authors and reviewers who contributed to this Research Topic. They also greatly appreciate the help of the Frontiers editorial office.

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.

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

Ng, S. C., Shi, H. Y., Hamidi, N., Underwood, F. E., Tang, W., Benchimol, E. I., et al. (2017). Worldwide incidence and prevalence of inflammatory bowel disease in the 21st century: A systematic review of population-based studies. Lancet 390 (10114), 2769–2778. doi:10.1016/S0140-6736(17)32448-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Ni, J., Wu, G. D., Albenberg, L., and Tomov, V. T. (2017). Gut microbiota and IBD: Causation or correlation? Nat. Rev. Gastroenterol. Hepatol. 14 (10), 573–584. doi:10.1038/nrgastro.2017.88

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: inflammatory bowel disease, microbiome, ulcerative colitis, Crohn’s disease, interaction

Citation: Liu N-N, He P, Liu Z, Zhu R, Miao Y, Yu C and Zhu L (2023) Editorial: Microbiome in IBD: From Composition to Therapy, Volume II. Front. Pharmacol. 14:1184269. doi: 10.3389/fphar.2023.1184269

Received: 11 March 2023; Accepted: 28 March 2023;
Published: 05 April 2023.

Edited and reviewed by:

Angelo A. Izzo, University of Naples Federico II, Italy

Copyright © 2023 Liu, He, Liu, Zhu, Miao, Yu and Zhu. 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: Ning-Ning Liu, bGl1bmluZ25pbmdAc2hzbXUuZWR1LmNu

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.