NCT07169123

Brief Summary

The study looks at how eating salt affects gut health in people with Crohn's disease. The aim of the study is to find out whether eating more salt increases the breakdown of proteins in the gut and if this makes inflammation and symptoms worse. By studying the link between salt, gut bacteria and inflammation, the study hopes to improve diet advice for people with Crohn's disease. This research may help find specific foods that affect the disease and lead to better, more personalized nutrition plans.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
300

participants targeted

Target at P75+ for all trials

Timeline
37mo left

Started Aug 2025

Longer than P75 for all trials

Geographic Reach
1 country

2 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress24%
Aug 2025Sep 2029

First Submitted

Initial submission to the registry

June 5, 2025

Completed
2 months until next milestone

Study Start

First participant enrolled

August 18, 2025

Completed
24 days until next milestone

First Posted

Study publicly available on registry

September 11, 2025

Completed
4 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2029

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2029

Last Updated

July 30, 2026

Status Verified

July 1, 2026

Enrollment Period

4 years

First QC Date

June 5, 2025

Last Update Submit

July 29, 2026

Conditions

Keywords

sodiumCrohn's diseaseproteasesdiet

Outcome Measures

Primary Outcomes (1)

  • Dietary Sodium Intake

    Dietary sodium intake will be assessed via 24-hour dietary recall and sodium-specific food frequency questionnaires (mg/day). Values will be used to classify participants as HSD or LSD and correlated with changes in proteolytic activity, mucosal permeability, and disease activity.

    Phase 1: baseline (Year 0); Year 1; and Year 2. Phase 2: baseline (Week 0); Week 1; and Week 2.

Secondary Outcomes (4)

  • Proteolytic Activity in Stool and Colonic Biopsies

    Stool: Phase 1 - baseline (Year 0); Year 1; and Year 2. Biopsy: Phase 2 - Week 2

  • Crohn's Disease Activity Index (CDAI)

    Phase 1: baseline (Year 0); Year 1; and Year 2. Phase 2: baseline (Week 0); and Week 2.

  • Mucosal Permeability

    Phase 2: Week 2

  • Patient Subgroup Characterization Based on Metabolic and Microbial Profiles

    Phase 1: baseline (Year 0); Year 1; and Year 2. Phase 2: baseline (Week 0); Week 1; and Week 2.

Eligibility Criteria

Age18 Years - 70 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with a diagnosis of Crohn's disease followed at McMaster University's Gastroenterology Outpatient Clinic.

You may qualify if:

  • and 70 years of age
  • Crohn's disease diagnosis
  • Willing and able to sign written informed consent prior to study entry
  • Able to comply with the study procedures, in the opinion of the investigator

You may not qualify if:

  • Antibiotics, antibacterial agents, or probiotics, currently, or within the last 8 weeks
  • Alcohol or drug abuse
  • Pregnancy
  • Concurrent systemic disease and/or laboratory abnormalities considered by investigators to be a risk or that could interfere with data collection

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

McMaster University

Hamilton, Ontario, L8N 3Z5, Canada

RECRUITING

McMaster University Medical Centre

Hamilton, Ontario, L8S 4L8, Canada

NOT YET RECRUITING

Related Publications (47)

  • Pang Z, Lu Y, Zhou G, Hui F, Xu L, Viau C, Spigelman AF, MacDonald PE, Wishart DS, Li S, Xia J. MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation. Nucleic Acids Res. 2024 Jul 5;52(W1):W398-W406. doi: 10.1093/nar/gkae253.

    PMID: 38587201BACKGROUND
  • Caminero A, Herran AR, Nistal E, Perez-Andres J, Vaquero L, Vivas S, Ruiz de Morales JM, Albillos SM, Casqueiro J. Diversity of the cultivable human gut microbiome involved in gluten metabolism: isolation of microorganisms with potential interest for coeliac disease. FEMS Microbiol Ecol. 2014 May;88(2):309-19. doi: 10.1111/1574-6941.12295. Epub 2014 Mar 3.

    PMID: 24499426BACKGROUND
  • Whelan FJ, Waddell B, Syed SA, Shekarriz S, Rabin HR, Parkins MD, Surette MG. Culture-enriched metagenomic sequencing enables in-depth profiling of the cystic fibrosis lung microbiota. Nat Microbiol. 2020 Feb;5(2):379-390. doi: 10.1038/s41564-019-0643-y. Epub 2020 Jan 20.

    PMID: 31959969BACKGROUND
  • Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550. doi: 10.1186/s13059-014-0550-8.

    PMID: 25516281BACKGROUND
  • Paulson JN, Stine OC, Bravo HC, Pop M. Differential abundance analysis for microbial marker-gene surveys. Nat Methods. 2013 Dec;10(12):1200-2. doi: 10.1038/nmeth.2658. Epub 2013 Sep 29.

    PMID: 24076764BACKGROUND
  • Buchfink B, Xie C, Huson DH. Fast and sensitive protein alignment using DIAMOND. Nat Methods. 2015 Jan;12(1):59-60. doi: 10.1038/nmeth.3176. Epub 2014 Nov 17.

    PMID: 25402007BACKGROUND
  • Bushnell B, Rood J, Singer E. BBMerge - Accurate paired shotgun read merging via overlap. PLoS One. 2017 Oct 26;12(10):e0185056. doi: 10.1371/journal.pone.0185056. eCollection 2017.

    PMID: 29073143BACKGROUND
  • Kopylova E, Noe L, Touzet H. SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data. Bioinformatics. 2012 Dec 15;28(24):3211-7. doi: 10.1093/bioinformatics/bts611. Epub 2012 Oct 15.

    PMID: 23071270BACKGROUND
  • Kim D, Paggi JM, Park C, Bennett C, Salzberg SL. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol. 2019 Aug;37(8):907-915. doi: 10.1038/s41587-019-0201-4. Epub 2019 Aug 2.

    PMID: 31375807BACKGROUND
  • Kang DD, Li F, Kirton E, Thomas A, Egan R, An H, Wang Z. MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies. PeerJ. 2019 Jul 26;7:e7359. doi: 10.7717/peerj.7359. eCollection 2019.

    PMID: 31388474BACKGROUND
  • Nurk S, Meleshko D, Korobeynikov A, Pevzner PA. metaSPAdes: a new versatile metagenomic assembler. Genome Res. 2017 May;27(5):824-834. doi: 10.1101/gr.213959.116. Epub 2017 Mar 15.

    PMID: 28298430BACKGROUND
  • Moayyedi P, MacQueen G, Bernstein CN, Vanner S, Bercik P, Madsen KL, Surette M, Rioux JD, Dieleman LA, Verdu E, de Souza RJ, Otley A, Targownik L, Lavis J, Cunningham J, Marshall DA, Zelinsky S, Fernandes A. IMAGINE Network's Mind And Gut Interactions Cohort (MAGIC) Study: a protocol for a prospective observational multicentre cohort study in inflammatory bowel disease and irritable bowel syndrome. BMJ Open. 2020 Oct 21;10(10):e041733. doi: 10.1136/bmjopen-2020-041733.

    PMID: 33087380BACKGROUND
  • Franzosa EA, McIver LJ, Rahnavard G, Thompson LR, Schirmer M, Weingart G, Lipson KS, Knight R, Caporaso JG, Segata N, Huttenhower C. Species-level functional profiling of metagenomes and metatranscriptomes. Nat Methods. 2018 Nov;15(11):962-968. doi: 10.1038/s41592-018-0176-y. Epub 2018 Oct 30.

    PMID: 30377376BACKGROUND
  • Segata N, Waldron L, Ballarini A, Narasimhan V, Jousson O, Huttenhower C. Metagenomic microbial community profiling using unique clade-specific marker genes. Nat Methods. 2012 Jun 10;9(8):811-4. doi: 10.1038/nmeth.2066.

    PMID: 22688413BACKGROUND
  • Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012 Mar 4;9(4):357-9. doi: 10.1038/nmeth.1923.

    PMID: 22388286BACKGROUND
  • Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018 Sep 1;34(17):i884-i890. doi: 10.1093/bioinformatics/bty560.

    PMID: 30423086BACKGROUND
  • Derakhshani H, Bernier SP, Marko VA, Surette MG. Completion of draft bacterial genomes by long-read sequencing of synthetic genomic pools. BMC Genomics. 2020 Jul 29;21(1):519. doi: 10.1186/s12864-020-06910-6.

    PMID: 32727443BACKGROUND
  • Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000 Jan 1;28(1):27-30. doi: 10.1093/nar/28.1.27.

    PMID: 10592173BACKGROUND
  • Douglas GM, Maffei VJ, Zaneveld JR, Yurgel SN, Brown JR, Taylor CM, Huttenhower C, Langille MGI. PICRUSt2 for prediction of metagenome functions. Nat Biotechnol. 2020 Jun;38(6):685-688. doi: 10.1038/s41587-020-0548-6. No abstract available.

    PMID: 32483366BACKGROUND
  • Langille MG, Zaneveld J, Caporaso JG, McDonald D, Knights D, Reyes JA, Clemente JC, Burkepile DE, Vega Thurber RL, Knight R, Beiko RG, Huttenhower C. Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences. Nat Biotechnol. 2013 Sep;31(9):814-21. doi: 10.1038/nbt.2676. Epub 2013 Aug 25.

    PMID: 23975157BACKGROUND
  • McMurdie PJ, Holmes S. phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data. PLoS One. 2013 Apr 22;8(4):e61217. doi: 10.1371/journal.pone.0061217. Print 2013.

    PMID: 23630581BACKGROUND
  • Price MN, Dehal PS, Arkin AP. FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One. 2010 Mar 10;5(3):e9490. doi: 10.1371/journal.pone.0009490.

    PMID: 20224823BACKGROUND
  • Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P, Peplies J, Glockner FO. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2013 Jan;41(Database issue):D590-6. doi: 10.1093/nar/gks1219. Epub 2012 Nov 28.

    PMID: 23193283BACKGROUND
  • Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJ, Holmes SP. DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016 Jul;13(7):581-3. doi: 10.1038/nmeth.3869. Epub 2016 May 23.

    PMID: 27214047BACKGROUND
  • Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014 Aug 1;30(15):2114-20. doi: 10.1093/bioinformatics/btu170. Epub 2014 Apr 1.

    PMID: 24695404BACKGROUND
  • Constante M, Libertucci J, Galipeau HJ, Szamosi JC, Rueda G, Miranda PM, Pinto-Sanchez MI, Southward CM, Rossi L, Fontes ME, Chirdo FG, Surette MG, Bercik P, Caminero A, Verdu EF. Biogeographic Variation and Functional Pathways of the Gut Microbiota in Celiac Disease. Gastroenterology. 2022 Nov;163(5):1351-1363.e15. doi: 10.1053/j.gastro.2022.06.088. Epub 2022 Jul 8.

    PMID: 35810781BACKGROUND
  • Szamosi JC, Forbes JD, Copeland JK, Knox NC, Shekarriz S, Rossi L, Graham M, Bonner C, Guttman DS, Van Domselaar G, Surette MG, Bernstein CN. Assessment of Inter-Laboratory Variation in the Characterization and Analysis of the Mucosal Microbiota in Crohn's Disease and Ulcerative Colitis. Front Microbiol. 2020 Aug 21;11:2028. doi: 10.3389/fmicb.2020.02028. eCollection 2020.

    PMID: 32973734BACKGROUND
  • Mason B, Ross L, Gill E, Healy H, Juffs P, Kark A. Development and validation of a dietary screening tool for high sodium consumption in Australian renal patients. J Ren Nutr. 2014 Mar;24(2):123-34.e1-3. doi: 10.1053/j.jrn.2013.10.004. Epub 2014 Jan 3.

    PMID: 24394445BACKGROUND
  • Ji Y, Plourde H, Bouzo V, Kilgour RD, Cohen TR. Validity and Usability of a Smartphone Image-Based Dietary Assessment App Compared to 3-Day Food Diaries in Assessing Dietary Intake Among Canadian Adults: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Sep 9;8(9):e16953. doi: 10.2196/16953.

    PMID: 32902389BACKGROUND
  • Brown IJ, Dyer AR, Chan Q, Cogswell ME, Ueshima H, Stamler J, Elliott P; INTERSALT Co-Operative Research Group. Estimating 24-hour urinary sodium excretion from casual urinary sodium concentrations in Western populations: the INTERSALT study. Am J Epidemiol. 2013 Jun 1;177(11):1180-92. doi: 10.1093/aje/kwt066. Epub 2013 May 14.

    PMID: 23673246BACKGROUND
  • Lahiff C, Safaie P, Awais A, Akbari M, Gashin L, Sheth S, Lembo A, Leffler D, Moss AC, Cheifetz AS. The Crohn's disease activity index (CDAI) is similarly elevated in patients with Crohn's disease and in patients with irritable bowel syndrome. Aliment Pharmacol Ther. 2013 Apr;37(8):786-94. doi: 10.1111/apt.12262. Epub 2013 Feb 21.

    PMID: 23432394BACKGROUND
  • Gracie DJ, Williams CJ, Sood R, Mumtaz S, Bholah MH, Hamlin PJ, Ford AC. Poor Correlation Between Clinical Disease Activity and Mucosal Inflammation, and the Role of Psychological Comorbidity, in Inflammatory Bowel Disease. Am J Gastroenterol. 2016 Apr;111(4):541-51. doi: 10.1038/ajg.2016.59. Epub 2016 Mar 22.

    PMID: 27002800BACKGROUND
  • Jukic A, Bakiri L, Wagner EF, Tilg H, Adolph TE. Calprotectin: from biomarker to biological function. Gut. 2021 Oct;70(10):1978-1988. doi: 10.1136/gutjnl-2021-324855. Epub 2021 Jun 18.

    PMID: 34145045BACKGROUND
  • Arcand J, Floras JS, Azevedo E, Mak S, Newton GE, Allard JP. Evaluation of 2 methods for sodium intake assessment in cardiac patients with and without heart failure: the confounding effect of loop diuretics. Am J Clin Nutr. 2011 Mar;93(3):535-41. doi: 10.3945/ajcn.110.004457. Epub 2010 Dec 29.

    PMID: 21191141BACKGROUND
  • Miranda PM, De Palma G, Serkis V, Lu J, Louis-Auguste MP, McCarville JL, Verdu EF, Collins SM, Bercik P. High salt diet exacerbates colitis in mice by decreasing Lactobacillus levels and butyrate production. Microbiome. 2018 Mar 22;6(1):57. doi: 10.1186/s40168-018-0433-4.

    PMID: 29566748BACKGROUND
  • Vergnolle N. Protease inhibition as new therapeutic strategy for GI diseases. Gut. 2016 Jul;65(7):1215-24. doi: 10.1136/gutjnl-2015-309147. Epub 2016 Apr 12.

    PMID: 27196587BACKGROUND
  • Galipeau HJ, Caminero A, Turpin W, Bermudez-Brito M, Santiago A, Libertucci J, Constante M, Raygoza Garay JA, Rueda G, Armstrong S, Clarizio A, Smith MI, Surette MG, Bercik P; CCC Genetics, Environmental, Microbial Project Research Consortium; Croitoru K, Verdu EF. Novel Fecal Biomarkers That Precede Clinical Diagnosis of Ulcerative Colitis. Gastroenterology. 2021 Apr;160(5):1532-1545. doi: 10.1053/j.gastro.2020.12.004. Epub 2020 Dec 10.

    PMID: 33310084BACKGROUND
  • Pittayanon R, Lau JT, Leontiadis GI, Tse F, Yuan Y, Surette M, Moayyedi P. Differences in Gut Microbiota in Patients With vs Without Inflammatory Bowel Diseases: A Systematic Review. Gastroenterology. 2020 Mar;158(4):930-946.e1. doi: 10.1053/j.gastro.2019.11.294. Epub 2019 Dec 5.

    PMID: 31812509BACKGROUND
  • Lopez-Siles M, Enrich-Capo N, Aldeguer X, Sabat-Mir M, Duncan SH, Garcia-Gil LJ, Martinez-Medina M. Alterations in the Abundance and Co-occurrence of Akkermansia muciniphila and Faecalibacterium prausnitzii in the Colonic Mucosa of Inflammatory Bowel Disease Subjects. Front Cell Infect Microbiol. 2018 Sep 7;8:281. doi: 10.3389/fcimb.2018.00281. eCollection 2018.

    PMID: 30245977BACKGROUND
  • Machiels K, Joossens M, Sabino J, De Preter V, Arijs I, Eeckhaut V, Ballet V, Claes K, Van Immerseel F, Verbeke K, Ferrante M, Verhaegen J, Rutgeerts P, Vermeire S. A decrease of the butyrate-producing species Roseburia hominis and Faecalibacterium prausnitzii defines dysbiosis in patients with ulcerative colitis. Gut. 2014 Aug;63(8):1275-83. doi: 10.1136/gutjnl-2013-304833. Epub 2013 Sep 10.

    PMID: 24021287BACKGROUND
  • Lo CH, Khandpur N, Rossato SL, Lochhead P, Lopes EW, Burke KE, Richter JM, Song M, Ardisson Korat AV, Sun Q, Fung TT, Khalili H, Chan AT, Ananthakrishnan AN. Ultra-processed Foods and Risk of Crohn's Disease and Ulcerative Colitis: A Prospective Cohort Study. Clin Gastroenterol Hepatol. 2022 Jun;20(6):e1323-e1337. doi: 10.1016/j.cgh.2021.08.031. Epub 2021 Aug 28.

    PMID: 34461300BACKGROUND
  • Chen J, Wellens J, Kalla R, Fu T, Deng M, Zhang H, Yuan S, Wang X, Theodoratou E, Li X, Satsangi J. Intake of Ultra-processed Foods Is Associated with an Increased Risk of Crohn's Disease: A Cross-sectional and Prospective Analysis of 187 154 Participants in the UK Biobank. J Crohns Colitis. 2023 Apr 19;17(4):535-552. doi: 10.1093/ecco-jcc/jjac167.

    PMID: 36305857BACKGROUND
  • Vagianos K, Dolovich C, Witges K, Graff LA, Bernstein CN. Ultra-Processed Food, Disease Activity, and Inflammation in Ulcerative Colitis: The Manitoba Living With IBD Study. Am J Gastroenterol. 2024 Jun 1;119(6):1102-1109. doi: 10.14309/ajg.0000000000002667. Epub 2024 Feb 2.

    PMID: 38305329BACKGROUND
  • Narula N, Wong ECL, Dehghan M, Mente A, Rangarajan S, Lanas F, Lopez-Jaramillo P, Rohatgi P, Lakshmi PVM, Varma RP, Orlandini A, Avezum A, Wielgosz A, Poirier P, Almadi MA, Altuntas Y, Ng KK, Chifamba J, Yeates K, Puoane T, Khatib R, Yusuf R, Bostrom KB, Zatonska K, Iqbal R, Weida L, Yibing Z, Sidong L, Dans A, Yusufali A, Mohammadifard N, Marshall JK, Moayyedi P, Reinisch W, Yusuf S. Association of ultra-processed food intake with risk of inflammatory bowel disease: prospective cohort study. BMJ. 2021 Jul 14;374:n1554. doi: 10.1136/bmj.n1554.

    PMID: 34261638BACKGROUND
  • Christ A, Lauterbach M, Latz E. Western Diet and the Immune System: An Inflammatory Connection. Immunity. 2019 Nov 19;51(5):794-811. doi: 10.1016/j.immuni.2019.09.020.

    PMID: 31747581BACKGROUND
  • Windsor JW, Kuenzig ME, Murthy SK, Bitton A, Bernstein CN, Jones JL, Lee K, Targownik LE, Pena-Sanchez JN, Rohatinsky N, Ghandeharian S, Im JHB, Davis T, Weinstein J, Goddard Q, Benchimol EI, Kaplan GG. The 2023 Impact of Inflammatory Bowel Disease in Canada: Executive Summary. J Can Assoc Gastroenterol. 2023 Jun 1;6(Suppl 2):S1-S8. doi: 10.1093/jcag/gwad003. eCollection 2023 Sep.

    PMID: 37674500BACKGROUND
  • Gisbert JP, Chaparro M. Primary Failure to an Anti-TNF Agent in Inflammatory Bowel Disease: Switch (to a Second Anti-TNF Agent) or Swap (for Another Mechanism of Action)? J Clin Med. 2021 Nov 15;10(22):5318. doi: 10.3390/jcm10225318.

    PMID: 34830595BACKGROUND

Biospecimen

Retention: SAMPLES WITHOUT DNA

The following samples will be retained for analysis: blood (for sodium, CRP, and metabolomics), stool (for microbiota, metabolomics, fecal calprotectin, and proteolytic activity), and spot urine (for sodium, creatinine, potassium, and metabolomics). In Phase 2, additional fecal samples will be collected for microbiota and metabolomics analysis, along with blood and urine (for metabolomics), and colonic biopsies (for microbiota composition, metabolomics, proteolytic activity, and microbial proteases).

MeSH Terms

Conditions

Crohn Disease

Condition Hierarchy (Ancestors)

Inflammatory Bowel DiseasesGastroenteritisGastrointestinal DiseasesDigestive System DiseasesIntestinal Diseases

Study Officials

  • David Armstrong, MD

    McMaster University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Gaston H Rueda, MD

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

June 5, 2025

First Posted

September 11, 2025

Study Start

August 18, 2025

Primary Completion (Estimated)

September 1, 2029

Study Completion (Estimated)

September 1, 2029

Last Updated

July 30, 2026

Record last verified: 2026-07

Locations