Exploring Fecal Calprotectin Levels, Maternal and Infant Microbiota, Infant Health, Nutrition, and Adverse Pregnancy Outcomes With Patient With Inflammatory Bowel Disease (CALINA-IBD)

April 3, 2026 updated by: Genelle Lunken, University of British Columbia

Exploring the Gut Microbiota and Dietary Contributors to Elevated Infant Fecal Calprotectin In Patients With Inflammatory Bowel Disease: A Pilot Study (CALINA-IBD)

The goal of this prospective longitudinal cohort study is to examine how the human microbiome of pregnant women-including bacteria and fungi in the gastrointestinal tract, vaginal canal, skin, and breastmilk-may influence infant gut inflammation, measured by fecal calprotectin (FCP) levels, and to identify factors that could inform dietary interventions to improve infant health outcomes. Specifically, the study aims to determine which maternal gut microbiome characteristics and dietary patterns during pregnancy are associated with elevated FCP levels in infants, and which infant gut microbiota compositions and dietary factors are linked to high FCP levels. Researchers will compare microbiome signatures and dietary factors in pregnant women and their infants with active or inactive IBD, as well as non-IBD controls, to identify microbial patterns that may predict infant gut inflammation. Participants will provide fecal samples at all study timepoints, one vaginal swab during the third trimester of pregnancy, and optional breastmilk and breast skin swab samples. They will also complete 3-day diet recalls using a smartphone app and participate in a longitudinal follow-up over 12 months after birth to monitor dietary patterns, microbiome profiles, and gut inflammation in both mother and infant.

Study Overview

Detailed Description

Inflammatory bowel disease (IBD) is a chronic gastrointestinal condition that often presents during reproductive years, with approximately 25% of IBD patients having children after diagnosis. IBD during pregnancy can negatively impact infant health, as infants born to parents with IBD frequently exhibit higher fecal calprotectin (FCP) levels, a marker of gastrointestinal inflammation. Elevated FCP levels have been associated with increased risks of asthma, eczema, and IBD later in life. The purpose of this study is to examine how the maternal gut microbiome, diet, and breastmilk composition influence infant FCP levels and to identify factors that may guide dietary interventions to improve infant health outcomes. Specifically, the study aims to: (1) identify pregnancy-related maternal gut microbiota and dietary factors linked to elevated infant FCP levels, (2) determine infant gut microbiota and dietary factors associated with high FCP levels, (3) validate a supervised machine learning model capable of predicting high FCP levels in infants at 1 year of age using microbiota and dietary data, and (4) characterize human milk oligosaccharide (HMO) composition in breastmilk of mothers with and without IBD and its association with infant gut microbiota and FCP levels. This prospective study will evaluate changes in microbiota and dietary habits during and after pregnancy among maternal IBD patients (with active or quiescent disease) and non-IBD controls and their infants. Participants will be recruited during pregnancy (1st, 2nd, and early 3rd trimesters), and data and samples will be collected at four timepoints: 3rd trimester (week 34-35), 2 weeks postpartum, 3 months postpartum, and 1 year postpartum. Collected data will include 3-day dietary recalls, maternal and infant stool samples (for microbiota composition and FCP levels), optional breastmilk and breast skin swabs, vaginal swabs, and pregnancy and infant outcomes. These data will be integrated into a machine learning model to predict high infant FCP levels at 1 year, considering known covariates and factors identified in this study. The primary outcome is to determine the association between maternal gut microbiota composition-specifically the abundance of anti-inflammatory bacteria such as Faecalibacterium and Bifidobacterium-during the third trimester and early postpartum period, and infant FCP levels at 3 months and 1 year, accounting for maternal adherence to Mediterranean dietary patterns. Secondary outcomes include developing and validating a machine learning model for predicting elevated infant FCP at 1 year, characterizing and comparing HMO profiles between IBD and non-IBD mothers and their associations with infant gut microbiota and FCP levels, comparing pregnancy outcomes between mothers with ulcerative colitis, Crohn's disease, and non-IBD controls-including the impact of IBD therapy and mode of delivery-and examining the associations between maternal diet, microbiota composition (gut, skin, and vaginal), and pregnancy and infant outcomes across all study timepoints.

Study Type

Observational

Enrollment (Estimated)

80

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • British Columbia
      • Vancouver, British Columbia, Canada, V5Z 4H4
        • Recruiting
        • BC Children's Hospital Research Institute
        • Contact:
      • Vancouver, British Columbia, Canada, V5Z 4H4
        • Not yet recruiting
        • BC Children's Hospital Research Institute
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Probability Sample

Study Population

The investigators aim to have a total of 80 pregnant participants enrolled before week 35 of gestation. Patient grouping for recruitment is as follows:Group 1: 40 pregnant participants with a confirmed diagnosis of IBD, including either Crohn's Disease (CD) or Ulcerative Colitis (UC). Participants will have varying disease severity levels as determined by their gastroenterologist using standardized scoring systems: SES-CD (Simple Endoscopic Score for Crohn's Disease) for CD patients and Mayo score for UC patients.Group 2: 40 Control Pregnant individuals without a diagnosis of IBD, matched as controls for comparison.

Description

Inclusion Criteria:

All patients

  • Pregnant individuals ≥19 years recruited during their first, second or early third trimester.
  • Own or have regular access to a smartphone compatible with the study smartphone application RXFood.

IBD patients

● A documented IBD diagnosis (CD or UC) with active or quiescent disease.

Non-IBD controls ● Absence of IBD.

Exclusion Criteria:

All patients

  • Inability to provide consent
  • Previous gastrointestinal cancer or bowel surgery
  • Renal disease
  • HIV/AIDS or other serious infection
  • Fetal chromosomal or structural abnormalities
  • Other immune-mediated diseases (e.g., multiple sclerosis, rheumatoid arthritis, primary sclerosing cholangitis)
  • Prebiotic, probiotic or postbiotic supplements in the month prior to first sample collection
  • Gastroenteritis during or 1 month before the first sample collection
  • Travel outside of Canada and the United States in the month prior to first sample collection

IBD patients

● Pregnant individuals with active perianal or extra-intestinal disease in IBD

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Pregnant participants with Inflammatory Bowel Disease (IBD)
The study will include 40 consenting pregnant patients with IBD (Crohn's Disease (CD) or Ulcerative Colitis (UC)), varying in levels of severity depending on assigned SES-CD scoring (for CD patients) and Mayo score (for UC patients) from their gastroenterologist. Stool, vaginal swabs, and optional breastmilk samples and breast skin swabs will be collected using an at-home kit. The patient will receive all instructions and shipping materials in a kit delivered to their home.
Pregnant participants without Inflammatory Bowel Disease (IBD)
The study will include 40 consenting pregnant patients without a diagnosis of IBD. Stool, vaginal swabs, and optional breastmilk samples and breast skin swabs will be collected using an at-home kit. The patient will receive all instructions and shipping materials in a kit delivered to their home.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Correlation between maternal gut microbiota during pregnancy (third trimester) and early postpartum period (2 weeks, 3 months, and 1 year) and infant FCP levels at 3 months and 1 year of age, accounting for maternal adherence to Mediterranean diet.
Time Frame: 24 months

FCP, a marker of intestinal inflammation, will be quantified in maternal stool samples collected during the third trimester of pregnancy and the early postpartum period (2 weeks, 3 months, and 1 year postpartum), as well as in infant stool samples collected at 3 months and 1 year of age, using enzyme-linked immunosorbent assay (ELISA). Elevated infant FCP is defined as >400 µg/g. Maternal gut microbiota composition and diversity will be characterized using long-read Oxford Nanopore 16S rRNA sequencing, and microbial metabolites will be quantified using gas chromatography-mass spectrometry (GC-MS).

Maternal dietary intake during the third trimester and postpartum period will be assessed using 3-day dietary records completed via the RXFood mobile application. Adherence to the Mediterranean diet will be scored using the Mediterranean Diet Score (MDS; range 0-7), with scores of 4-7 indicating high Mediterranean diet adherence.

24 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Develop and validate a machine learning model for predicting elevated infant FCP levels at 1 year of age using maternal gut microbiota composition and dietary patterns as predictive features.
Time Frame: 24 months
This multi-modal integrative supervised machine learning (sPLS-DA33; http://mixomics.org/) will integrate infant and pregnancy gut microbiota and dietary features to predict elevated infant FCP levels at 1 year. These features will be used to train predictive models with Random Forest Classifier and Artificial neural networks (ANN) providing complementary approaches for robust prediction. Cross-validation (20 × 5-fold) will optimize model performance and generalizability.
24 months
Characterize and compare HMO profiles between mothers with and without IBD, and determine their associations with the infant gut microbiota composition and the infant FCP levels at 3 months and 1 year of age.
Time Frame: 24 months
Human milk oligosaccharide (HMO) composition will be characterized and compared between mothers with IBD and healthy controls using breastmilk samples collected postpartum. Participants will be asked to perform a full breast expression (~5-10 mL) and the breastmilk will be alliquot and stored at -80 degrees freezer. Breastmilk composition, specifically HMO, will be analyzed using ultra-performance liquid chromatography with fluorescence (UPLC-FL) in Dr. Lars Bode laboratory from the University of California San Diego. The study will identify specific HMO profiles and assess their associations with infant gut microbiota composition and fecal calprotectin (FCP) levels at 3 months and 1 year of age. This analysis will help determine whether maternal IBD status could influence HMO composition and whether specific HMO profiles impact infant gut health and inflammation markers, potentially informing nutritional strategies to support optimal infant gastrointestinal development.
24 months
Compare pregnancy outcomes between mothers with ulcerative colitis or Crohn's disease and those without IBD.
Time Frame: 24 months
Pregnancy outcomes will be collected via chart review, and via a questionnaire completed by the participant to gather data on health outcomes. This study will compare pregnancy outcomes between mothers with ulcerative colitis (UC) or Crohn's disease (CD) and those without IBD. The analysis will examine the impact of IBD therapies, including steroids and advanced biologics, on maternal and infant health outcomes. Additionally, the study will investigate the relationship between mode of delivery (vaginal versus cesarean section) and outcomes for both mothers and infants. This comparison will provide insights into how IBD disease management and delivery methods influence pregnancy-related health outcomes, contributing to evidence-based care recommendations for pregnant individuals with IBD.
24 months
Correlation between maternal dietary patterns (macro and micronutrients) and maternal microbiota composition (gut, skin, and vaginal) and maternal and infant clinical outcomes, including pregnancy and postpartum complications.
Time Frame: 24 months
Maternal dietary patterns will be assessed using 3-day food diaries collected via RxFood, an AI-enabled dietary assessment application. Maternal microbiota composition (gut, breast skin, and vaginal) will be analyzed in relation to pregnancy and postpartum complications assessed during the third trimester and at 2 weeks, 3 months, and 1 year postpartum. Infant clinical outcomes will be assessed at birth, 2 weeks, 3 months, and 1 year of age using participant-completed questionnaires and review of relevant medical records.
24 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

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Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 20, 2026

Primary Completion (Estimated)

February 1, 2028

Study Completion (Estimated)

February 1, 2028

Study Registration Dates

First Submitted

January 26, 2026

First Submitted That Met QC Criteria

January 26, 2026

First Posted (Actual)

February 4, 2026

Study Record Updates

Last Update Posted (Actual)

April 6, 2026

Last Update Submitted That Met QC Criteria

April 3, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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