Submitted:
20 April 2026
Posted:
22 April 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results
Mouse Studies to Predict Human Responses
Human (Experimental and RCT) and Humanized Mice Experiments
4. Discussion
5. Conclusions
Funding
Conflicts of Interest
Abbreviations
| IBD | Inflammatory bowel disease |
| PICO | patient, intervention, comparison, outcome |
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| Inclusion criteria | Exclusion criteria |
|---|---|
| Experimental articles | Review papers (they were used to scan for more relevant papers) |
| Outcomes have to do with dietary emulsifiers | Does not discuss dietary emulsifiers |
| Mention of individualized susceptibility/ factors related to susceptibility/heterogeneity of outcomes/mechanisms that are related to susceptibility | No mention of individualized susceptibility/ factors related to susceptibility/heterogeneity of outcomes/mechanisms that are related to susceptibility |
| Article is available in full text | Article is not available in full text |
| Text is written in English | Text is written in another language |
| Articles show possible heterogeneity in data | Articles do not show possible heterogeneity in data |
| Author, Year & Country |
Sample/Population | Study Design | Variability measurement | Main findings |
|---|---|---|---|---|
| Kordahi et al., 2025. USA | Wild-type male mice N=60 | Animal study |
16S rRNA gene amplification and sequencing | CMC and P80 show variable effects on WT mice |
| Holder et al., 2019. USA | Mice N=6 (3 male and 3 female) | Animal study | 16S rRNA sequencing | There are sex-specific differences in gut microbiota composition following emulsifier exposure |
| Rousta et al. (2021) USA | Mice N=3x7 to 8 mice | Fecal transplants | Shotgun metagenomic analysis (whole genome sequencing) | There is a variability in results of the effects of CMC and P80 |
| Miclotte et al. (2020) Belgium | Fecal samples of human donors (N=10) | In vitro | 16S rRNA gene amplicon sequencing | Some donors had consistently high susceptibility, some had some susceptibility, some low susceptibility |
| Rytter et al. (2025) France | Faecal samples from the 16 FRESH subjects (N=9 from the control group and N=7 from the CMC-exposed groups) | In vitro | MiniBioReactor Arrays | Microbiota functional markers rather than taxonomy alone are associated with emulsifier sensitivity |
| Wellens et al. (2025) Belgium | Humans N=60 | Randomized placebo-controlled trial design | Within-group variation and fecal short-chain fatty acid concentration | There is within-group variation and interindividual variability in fecal short-chain fatty acid concentration over time |
| Chassaing et al. (2022) USA | Humans N=16 | Randomized, controlled-feeding study | Intersubject variability in the response to CMC consumption | There is a clear difference in distance of bacteria from IEC, in fecal LPS and in Bray curtis distance between high sensitive and low sensitive individuals. There is no significant difference between changes of the fecal level of the inflammatory marker Lipocalin-2. |
| Daniel et al. (2024) USA | Humans N=16 IL-10 deficient mice |
Randomized, controlled-feeding study | Intersubject variability in the response to CMC consumption | Genetics are not sufficient to account for inter-individual susceptibility to CMC in humans. Mice with microbiota from sensitive donors developed intestinal inflammation. Mice with microbiota from insensitive donors were largely unaffected |
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