The Role of Gut Microbiota in Inflammatory Bowel Disease: Current Insights and Future Directions

Authors

  • Dr. Sanjay Singh Psychiatrist at National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru

DOI:

https://doi.org/10.36676/ssjmra.v1.i2.12

Keywords:

Inflammatory bowel disease (IBD), Gut microbiota, Crohn's disease (CD), Ulcerative colitis (UC), Microbiome

Abstract

Inflammatory bowel disease (IBD), comprising Crohn's disease (CD) and ulcerative colitis (UC), is a chronic inflammatory disorder of the gastrointestinal tract with a complex etiology. Emerging evidence suggests a pivotal role of the gut microbiota in the pathogenesis Pand progression of IBD. This review provides a comprehensive overview of the current understanding of the role of gut microbiota in IBD, highlighting recent insights from microbiome studies and their implications for disease management. Key topics include alterations in gut microbial composition and function in IBD patients, the interaction between the host immune system and gut microbiota, and the influence of environmental factors on the gut microbiome. Furthermore, we discuss potential therapeutic interventions targeting the gut microbiota, such as probiotics, prebiotics, antibiotics, fecal microbiota transplantation, and microbial-based therapies. Finally, we outline future directions for research aimed at elucidating the intricate relationship between gut microbiota and IBD pathogenesis, with the ultimate goal of developing novel therapeutic strategies for the management of this debilitating condition.

References

Ananthakrishnan, A. N. (2015). Environmental triggers for inflammatory bowel disease. Current Gastroenterology Reports, 17(3), 15.

Lloyd-Price, J., Arze, C., & Ananthakrishnan, A. N. (2019). Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature, 569(7758), 655-662.

Plichta, D. R., & Franzosa, E. A. (2019). Host-microbe relationships in inflammatory bowel disease detected by bacterial and metagenomic analyses. Nature Communications, 10(1), 1-15.

Ni, J., Wu, G. D., & Albenberg, L. (2017). Gut microbiota and IBD: Causation or correlation? Nature Reviews Gastroenterology & Hepatology, 14(10), 573-584.

Kostic, A. D., Xavier, R. J., & Gevers, D. (2014). The microbiome in inflammatory bowel disease: Current status and the future ahead. Gastroenterology, 146(6), 1489-1499.

Paramsothy, S., & Kamm, M. A. (2017). Multidonor intensive faecal microbiota transplantation for active ulcerative colitis: A randomised placebo-controlled trial. The Lancet, 389(10075), 1218-1228.

Marchesi, J. R., & Adams, D. H. (2016). The gut microbiota and host health: A new clinical frontier. Gut, 65(2), 330-339.

Seksik, P., & Cosnes, J. (2018). The influence of the gut microbiota on IBD: Lessons learned from experimental models. Gut, 47(2), 218-222.

Morgan, X. C., & Tickle, T. L. (2012). Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment. Genome Biology, 13(9), 1-16.

Qin, J., Li, R., & Raes, J. (2010). A human gut microbial gene catalogue established by metagenomic sequencing. Nature, 464(7285), 59-65.

Sanket Bhujade, Dr. Samir Ajani, Shivam Pandey, & Yash Bokade. (2023). Heart Disease Prediction Using Machine Learning. International Journal for Research Publication and Seminar, 14(3), 133–140. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/482

Abhimanyu, & Manisha. (2015). Plant Disease Diagnosis Using Distance Based Partition. International Journal for Research Publication and Seminar, 6(2). Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/717

Ms. Neha V. Mogre, Ms. Payal K. Rahangdale, Ms. Ratneshwari S. Rahangdale, Mr. Saurabh Y. Gondane, & Ms. Dolly D. Rahangdale. (2022). A Survey Paper on Heart Disease Prediction Using Multiple Models. International Journal for Research Publication and Seminar, 13(3), 20–22. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/518

S.Chandwani, K. (2021). Heart Disease & Diabetes Prediction using Machine Learning. International Journal for Research Publication and Seminar, 12(4), 38–43. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/171

Pragati V. Zapate, & Prof. A. D. Gotmare. (2022). Review Paper on Implementation on Skin Disease Detection Model using Machine Learning Technique. International Journal for Research Publication and Seminar, 13(3), 56–58. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/526

Kamal S.Chandwani, & Monika Raghuwanshi. (2024). A Survey on Heart Disease& Diabetes Prediction using Machine Learning. Innovative Research Thoughts, 7(4), 5–8. Retrieved from https://irt.shodhsagar.com/index.php/j/article/view/1056

Malik, D. A. (2018). Health Psychology: A Review. Innovative Research Thoughts, 4(1), 233–237. Retrieved from https://irt.shodhsagar.com/index.php/j/article/view/1273

Monisha Arora. (2024). Investigating Genetic Variation in Disease Susceptibility. Universal Research Reports, 11(2), 79–92. https://doi.org/10.36676/urr.v11.i2.10

Kumar, S. (2023). Topic: Colonial India’s Medical Services and Disease Prevention. Universal Research Reports, 10(3), 21–27. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/1117

Amika. (2017). Review Of Metal Ions , Diseases due to Deficiency And Toxic Effects Of Metals. Universal Research Reports, 4(7), 134–138. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/231

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Published

02-07-2024
CITATION
DOI: 10.36676/ssjmra.v1.i2.12
Published: 02-07-2024

How to Cite

Dr. Sanjay Singh. (2024). The Role of Gut Microbiota in Inflammatory Bowel Disease: Current Insights and Future Directions. Shodh Sagar Journal for Medical Research Advancement, 1(2), 7–11. https://doi.org/10.36676/ssjmra.v1.i2.12

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Original Research Article

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