Gut Health: When diet meets genetics
Inflammatory bowel disease (IBD) encompasses a group of conditions – including ulcerative colitis and Crohn’s disease – characterized by chronic gut inflammation. Quality of life can be significantly negatively impacted by these conditions, and they can also increase the risk of colorectal cancer. How and why IBD emerges remains poorly understood.
Our digestive system constantly adapts to what we eat, with different foods triggering changes to the way our gut cells express their genes. Factors like diet, genetics and the environment can all play a role in causing gut inflammation, which can become chronic and result in damage (Huang et al., 2017; Enriquez et al., 2022). In particular, the global rise in IBD incidence has been partly linked to increased consumption of fat-rich diets (Maconi et al., 2010; Hou et al., 2011). However, while studies in mice have shown that such diets can increase gut inflammation (Wang et al., 2023), in humans the effects vary among individuals (Zeevi et al., 2015). Understanding how genes and diet interact during early gut inflammation is therefore crucial to understand how IBD starts and to pinpoint the genes involved. It can be difficult to conduct this work due to the wide genetic diversity among humans and the challenges of creating controlled environments to study them in.
Systems genetics is an approach that allows scientists to dissect how various environmental and genetic factors work together to influence disease susceptibility and other traits (Seldin et al., 2019). It relies on ‘libraries’ of mice strains, such as the BXD recombinant inbred family, which have been created to have well-documented genetic differences (Ashbrook et al., 2021). By exposing this ‘genetic reference population’ to various controlled settings, it becomes possible to precisely examine interactions between genes and the environment.
Now, in eLife, Maroun Sleiman, Johan Auwerx of the École Polytechnique Fédérale de Lausanne and colleagues – including Xiaoxu Li as first author – report that a systems genetics approach to studying the relationship between a fat-rich diet and gut inflammation can identify candidate genes that might influence susceptibility to IBD in humans (Li et al., 2023).
First, Li et al. fed 52 BXD mouse strains with either a regular or fat-rich diet. Analyzing the gene expression profiles of the mice guts showed that overall, the fat-rich diet led to increased expression of genes involved in inflammatory pathways. However, much like in humans, the mice strains displayed diverse gene expression profiles. In fact, several strains were resistant to dietary changes, demonstrating that genetic differences can override the effect of diet.
Next, Li et al. compared the gene expression profiles of the BXD mice fed the fat-rich diet with existing datasets from mice and humans with IBD. On average, the genes dysregulated in IBD and in BXD mice were the same, indicating that the fat-rich diet had led to IBD-like gut inflammation. Individually, the gene expression of each strain could be used to classify the strain as as ‘susceptible’, ‘intermediate’, or ‘resistant’ to IBD-like inflammation.
Finally, network modelling approaches were used to group genes that are co-expressed or tend to work together in BXD mice. In animals fed fat-rich diets, some of the resulting ‘modules’ were enriched with genes that are dysregulated in IBD, with two containing genes involved in regulating gut inflammation. Li et al. then used three criteria to identify genes within the modules that might be key to IBD inflammation. Based on the existing human datasets, genetic variants of two of the genes that met these criteria – Epha6 and Muc4 – are also associated with ulcerative colitis, suggesting they could be key to regulating gut inflammation (Figure 1).
The findings, obtained using a powerful combination of systems genetics and pre-published datasets, help to shed light on how genetic makeup and diet dictate vulnerability to IBD. The work also provides a dataset that can be used to generate new ideas for future research, which is important for developing better preventive and treatment strategies for gut-related inflammatory disorders. It also remains to be seen whether the candidate genes identified using this approach can be used to manipulate vulnerability to gut inflammation.
References
-
Dietary intake and risk of developing inflammatory bowel disease: a systematic review of the literatureAmerican Journal of Gastroenterology 106:563–573.https://doi.org/10.1038/ajg.2011.44
-
Pre-illness changes in dietary habits and diet as a risk factor for inflammatory bowel disease: a case-control studyWorld Journal of Gastroenterology 16:4297–4304.https://doi.org/10.3748/wjg.v16.i34.4297
-
Systems genetics applications in metabolism researchNature Metabolism 1:1038–1050.https://doi.org/10.1038/s42255-019-0132-x
-
Intestinal cell type-specific communication networks underlie homeostasis and response to Western dietThe Journal of Experimental Medicine 220:e20221437.https://doi.org/10.1084/jem.20221437
Article and author information
Author details
Publication history
Copyright
© 2023, Chella Krishnan
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 799
- views
-
- 80
- downloads
-
- 0
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Computational and Systems Biology
To help maximize the impact of scientific journal articles, authors must ensure that article figures are accessible to people with color-vision deficiencies (CVDs), which affect up to 8% of males and 0.5% of females. We evaluated images published in biology- and medicine-oriented research articles between 2012 and 2022. Most included at least one color contrast that could be problematic for people with deuteranopia (‘deuteranopes’), the most common form of CVD. However, spatial distances and within-image labels frequently mitigated potential problems. Initially, we reviewed 4964 images from eLife, comparing each against a simulated version that approximated how it might appear to deuteranopes. We identified 636 (12.8%) images that we determined would be difficult for deuteranopes to interpret. Our findings suggest that the frequency of this problem has decreased over time and that articles from cell-oriented disciplines were most often problematic. We used machine learning to automate the identification of problematic images. For a hold-out test set from eLife (n=879), a convolutional neural network classified the images with an area under the precision-recall curve of 0.75. The same network classified images from PubMed Central (n=1191) with an area under the precision-recall curve of 0.39. We created a Web application (https://bioapps.byu.edu/colorblind_image_tester); users can upload images, view simulated versions, and obtain predictions. Our findings shed new light on the frequency and nature of scientific images that may be problematic for deuteranopes and motivate additional efforts to increase accessibility.
-
- Computational and Systems Biology
The force developed by actively lengthened muscle depends on different structures across different scales of lengthening. For small perturbations, the active response of muscle is well captured by a linear-time-invariant (LTI) system: a stiff spring in parallel with a light damper. The force response of muscle to longer stretches is better represented by a compliant spring that can fix its end when activated. Experimental work has shown that the stiffness and damping (impedance) of muscle in response to small perturbations is of fundamental importance to motor learning and mechanical stability, while the huge forces developed during long active stretches are critical for simulating and predicting injury. Outside of motor learning and injury, muscle is actively lengthened as a part of nearly all terrestrial locomotion. Despite the functional importance of impedance and active lengthening, no single muscle model has all these mechanical properties. In this work, we present the viscoelastic-crossbridge active-titin (VEXAT) model that can replicate the response of muscle to length changes great and small. To evaluate the VEXAT model, we compare its response to biological muscle by simulating experiments that measure the impedance of muscle, and the forces developed during long active stretches. In addition, we have also compared the responses of the VEXAT model to a popular Hill-type muscle model. The VEXAT model more accurately captures the impedance of biological muscle and its responses to long active stretches than a Hill-type model and can still reproduce the force-velocity and force-length relations of muscle. While the comparison between the VEXAT model and biological muscle is favorable, there are some phenomena that can be improved: the low frequency phase response of the model, and a mechanism to support passive force enhancement.