Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 12

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Therapeutic effects of curcumin on constipation-predominant irritable bowel syndrome is associated with modulating gut microbiota and neurotransmitters

Tu, Xiaoting, Ren, Hongyan, Bu, Shurui·2023·Frontiers in Microbiology

Abstract

Introduction: Constipation-predominant irritable bowel syndrome (IBS-C) is a functional bowel disease that affects 10–20% of the population worldwide. Curcumin (CUR) is widely used in traditional Chinese medicine to treat IBS, but its mechanism of action needs further investigation. Methods: In this study, we used mosapride (MOS) as a positive control to evaluate the changes in gut microbiota in IBS-C rat models after treatment with CUR or MOS by analyzing 16S rDNA variation. In addition, we used enzyme immunoassay kits and immunohistochemical analysis to investigate whether CUR or MOS influenced serotonin (5-HT), substance P (SP), and vasoactive intestinal peptide (VIP) levels in the serum and colon of IBS-C rats. Results: The study showed that rats supplemented with CUR showed significantly increased fecal weight, fecal water content, small intestine transit rate and significantly decreased serum levels of 5-HT, VIP and SP compared to the IBS group (p < 0.05). In addition, treatment with CUR changed the relative abundance of Blautia, Sutterella, Acetanaerobacterium and Ruminococcus 2 in the gut microbiota. Discussion: This study showed that the efficacy of CUR on IBS-C was possibly by modulating the microbiota and lowering the serum levels of HT, SP, and VIP.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fmicb.2023.1274559

Cites

8 of 8 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

1 more claim about this paper

Create a free account to see every claim other papers make about this one.

See all claims — free account

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 8 references

Research works printed but not linked: 37

  1. Agus, 2018, Gut microbiota regulation of tryptophan metabolism in health and disease, Cell Host Microbe, 23, 716, 10.1016/j.chom.2018.05.003 · DOI · Paper page
  2. Ahangarpour, 2019, The antidiabetic and antioxidant properties of some phenolic phytochemicals: a review study, Diabetes Metab. Syndr., 13, 854, 10.1016/j.dsx.2018.11.051 · DOI
  3. Black, 2020, Global burden of irritable bowel syndrome: trends, predictions and risk factors, Nat. Rev. Gastroenterol. Hepatol., 17, 473, 10.1038/s41575-020-0286-8 · DOI
  4. Camilleri, 2015, Intestinal secretory mechanisms in irritable bowel syndrome-diarrhea, Clin. Gastroenterol. Hepatol., 13, 1051, 10.1016/j.cgh.2014.07.020 · DOI
  5. Chang, 2016, Analysis of anti-depressant potential of curcumin against depression induced male albino wistar rats, Brain Res., 1642, 219, 10.1016/j.brainres.2016.03.010 · DOI
  6. Cheng, 2023, Interactions between gut microbiota and polyphenols: a mechanistic and metabolomic review, Phytomedicine, 119, 154979, 10.1016/j.phymed.2023.154979 · DOI
  7. Defrees, 2017, Irritable bowel syndrome: epidemiology, pathophysiology, diagnosis, and treatment, Prim. Care, 44, 655, 10.1016/j.pop.2017.07.009 · DOI
  8. Di Rosa, 2023, Constipation-predominant irritable bowel syndrome (IBS-C): effects of different nutritional patterns on intestinal Dysbiosis and symptoms, Nutrients, 15, 1647, 10.3390/nu15071647 · DOI
  9. Enck, 2016, Irritable bowel syndrome, Nat. Rev. Dis. Primers., 2, 16014, 10.1038/nrdp.2016.14 · DOI
  10. Fan, 2023, Cannabidiol-decorated Berberine-loaded microemulsions improve IBS-D therapy through ketogenic diet-induced Cannabidiol receptors overexpression, Int. J. Nanomedicine, 18, 2839, 10.2147/IJN.S402871 · DOI
  11. Ge, 2018, Intestinal crosstalk between microbiota and serotonin and its impact on gut motility, Curr. Pharm. Biotechnol., 19, 190, 10.2174/1389201019666180528094202 · DOI
  12. Guerreiro, 2018, Diet, microbiota, and gut permeability-the unknown triad in rheumatoid arthritis, Front. Med., 5, 349, 10.3389/fmed.2018.00349 · DOI
  13. Guo, 2022, Electroacupuncture attenuates post-inflammatory IBS-associated visceral and somatic hypersensitivity and correlates with the regulatory mechanism of Epac1-Piezo2 Axis, Front. Endocrinol., 13, 918652, 10.3389/fendo.2022.918652 · DOI
  14. Hadjivasilis, 2019, New insights into irritable bowel syndrome: from pathophysiology to treatment, Ann. Gastroenterol., 32, 554, 10.20524/aog.2019.0428 · DOI
  15. Huang, 2021, Improvement of intestinal barrier function, gut microbiota, and metabolic endotoxemia in type 2 diabetes rats by curcumin, Bioengineered, 12, 11947, 10.1080/21655979.2021.2009322 · DOI
  16. Kocaadam, 2017, Curcumin, an active component of turmeric (Curcuma longa), and its effects on health, Crit. Rev. Food Sci. Nutr., 57, 2889, 10.1080/10408398.2015.1077195 · DOI · Paper page
  17. Kosako, 2018, Impact of symptoms by gender and age in Japanese subjects with irritable bowel syndrome with constipation (IBS-C): a large population-based internet survey, Biopsychosoc Med, 12, 12, 10.1186/s13030-018-0131-2 · DOI
  18. Kovatcheva-Datchary, 2015, Dietary Fiber-induced improvement in glucose metabolism is associated with increased abundance of Prevotella, Cell Metab., 22, 971, 10.1016/j.cmet.2015.10.001 · DOI · Paper page
  19. Li, 2020, The therapeutic efficacy of curcumin vs. metformin in modulating the gut microbiota in NAFLD rats: a comparative study, Front. Microbiol., 11, 555293, 10.3389/fmicb.2020.555293 · DOI
  20. Liang, 2016, Tryptase and protease-activated receptor 2 expression levels in irritable bowel syndrome, Gut Liver, 10, 382, 10.5009/gnl14319 · DOI
  21. Liu, 2021, Microeco: an R package for data mining in microbial community ecology, FEMS Microbiol. Ecol., 97, fiaa255, 10.1093/femsec/fiaa255 · DOI
  22. Liu, 2015, XiangshaLiujunzi decoction alleviates the symptoms of functional dyspepsia by regulating brain-gut axis and production of neuropeptides, BMC Complement. Altern. Med., 15, 387, 10.1186/s12906-015-0913-z · DOI
  23. Ohkusa, 2019, Gut microbiota and chronic constipation: a review and update, Front. Med., 6, 19, 10.3389/fmed.2019.00019 · DOI
  24. Peters, 2017, Constipation-predominant irritable bowel syndrome females have Normal colonic barrier and secretory function, Am. J. Gastroenterol., 112, 913, 10.1038/ajg.2017.48 · DOI · Paper page
  25. Ponnusamy, 2011, Microbial community and metabolomic comparison of irritable bowel syndrome faeces, J. Med. Microbiol., 60, 817, 10.1099/jmm.0.028126-0 · DOI
  26. Rivière, 2016, Bifidobacteria and butyrate-producing Colon Bacteria: importance and strategies for their stimulation in the human gut, Front. Microbiol., 7, 979, 10.3389/fmicb.2016.00979 · DOI · Paper page
  27. Schloss, 2009, Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities, Appl. Environ. Microbiol., 75, 7537, 10.1128/AEM.01541-09 · DOI · Paper page
  28. Smith, 2017, A model of the enteric neural circuitry underlying the generation of rhythmic motor patterns in the colon: the role of serotonin, Am. J. Physiol. Gastrointest. Liver Physiol., 312, G1, 10.1152/ajpgi.00337.2016 · DOI
  29. Sun, 2019, Alterations in fecal short-chain fatty acids in patients with irritable bowel syndrome: a systematic review and meta-analysis, Medicine, 98, e14513, 10.1097/MD.0000000000014513 · DOI
  30. Sun, 2023, A review of neuroendocrine immune system abnormalities in IBS based on the brain-gut axis and research progress of acupuncture intervention, Front. Neurosci., 17, 934341, 10.3389/fnins.2023.934341 · DOI
  31. Tack, 2019, Economic burden of moderate to severe irritable bowel syndrome with constipation in six European countries, BMC Gastroenterol., 19, 69, 10.1186/s12876-019-0985-1 · DOI
  32. Tang, 2022, Exploring molecular mechanisms of Aloe barbadmsis miller on Diphenoxylate-induced constipation in mice, Evid. Based Complement. Alternat. Med., 2022, 6225758, 10.1155/2022/6225758 · DOI
  33. Wang, 2018, Gut microbiota was modulated by moxibustion stimulation in rats with irritable bowel syndrome, Chin. Med., 13, 63, 10.1186/s13020-018-0220-y · DOI
  34. Wen, 2020, The efficacy and safety of probiotics for patients with constipation-predominant irritable bowel syndrome: a systematic review and meta-analysis based on seventeen randomized controlled trials, Int. J. Surg., 79, 111, 10.1016/j.ijsu.2020.04.063 · DOI · Paper page
  35. Xi, 2019, Central 5-hydroxytryptamine (5-HT) mediates colonic motility by hypothalamus oxytocin-colonic oxytocin receptor pathway, Biochem. Biophys. Res. Commun., 508, 959, 10.1016/j.bbrc.2018.11.122 · DOI
  36. Yu, 2019, Resveratrol improves brain-gut Axis by regulation of 5-HT-dependent signaling in the rat model of irritable bowel syndrome, Front. Cell. Neurosci., 13, 30, 10.3389/fncel.2019.00030 · DOI
  37. Yu, 2015, The effect of curcumin on the brain-gut axis in rat model of irritable bowel syndrome: involvement of 5-HT-dependent signaling, Metab. Brain Dis., 30, 47, 10.1007/s11011-014-9554-z · DOI · Paper page

Cited by

Metadata

Authors
Tu, X., Ren, H., & Bu, S.
Venue
Frontiers in Microbiology
Published
2023-12-14
Volume
14
ISSN
1664-302X
Cited by
12
References
8

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.