Bibliographic record
Abstract
To the Editor: Inflammatory bowel disease (IBD) is increasing worldwide. Since the first reported patient in China in 1956, the rate has increased and has been an overwhelming challenge for public health. Nutrition and IBD are confusing because the individual patients’ lifestyles, environments, and microbiomes differ. Here, we emphasize the microbiome, the genetic landscape, and the nutritional factors associated with IBD. Dietary factors, microbiomes, and genetic susceptibilities may play a role in determining how this disease represents a puzzle in medicine.[1] Although overlaps are well known, Crohn’s disease (CD) and ulcerative colitis (UC) are the two primary diagnoses identifiable in IBD. As observed by Yang and Qian[2] recently, there is a geographic gradient in China, with UC more prevalent in the northern region and CD more commonplace in the southern region, and temporal trends up to 2030 are pretty alarming. Gut microbiome and genetics: The gut microbiome comprises over 100 trillion microbial organisms, including bacteria, fungi, viruses, and protozoa, and most intestinal bacteria are classified into four phyla: Firmicutes, Bacteroidetes, Proteobacteria, and Actinobacteria, with Firmicutes and Bacteroidetes predominating in healthy adults. The gut microbiome is essential for various aspects of host homeostasis, including nutrition, immune development, metabolism, and pathogen defense. IBD is believed to arise from the disarrayed interplay of environmental, microbial, and immune-mediated variables in a genetically predisposed host [Supplementary Figure 1, https://links.lww.com/CM9/C376].[3,4] Numerous genetic changes linked to IBD pertain to immune function, particularly the interactions between the immune system and the microbiota. The genes encompass nucleotide oligomerization domain 2 (NOD2), autophagy-related 16-like 1 (ATG16L1), caspase recruitment domain-containing protein 9 (CARD9), and C-type lectin domain family 7 member A (CLEC7A). NOD2 encodes an intracellular pattern recognition receptor that engages with the peptidoglycan present in both gram-positive and gram-negative bacteria. NOD2 is expressed in intestinal epithelial cells, is a defensive factor against intracellular bacteria, and contributes to the immune response to commensal microbes. In murine models of colitis, NOD2-deficient mice have an altered microbiome with increased susceptibility to colitis compared with wild-type (WT) mice. In addition, bacteria that are typically commensal, such as Bacteroides vulgatus, have been associated with alterations in mucosal barrier function and expression of inflammatory genes in NOD2 mice, with resolution of mucosal barrier function and a decrease in inflammatory cytokines with elimination of this bacterium. In human subjects, mutations in NOD2 are associated with reduced levels of interleukin (IL)-10, an anti-inflammatory cytokine, and increased numbers of mucosa-associated bacteria. Patients with NOD2 mutations have a microbiota characterized by a decreased abundance of Faecalibacterium species and an increased abundance of Escherichia species. In patients with CD, NOD2 is associated with ileal disease, an increased risk of postoperative recurrence after ileocecal resection, and a more aggressive fistulizing and fibrostenotic disease phenotype. ATG16L1 regulates the autophagy pathway, facilitates lysosomal degradation, and eliminates intracellular bacteria. NOD2 engages with ATG16L1 at the protein level by directing it to the plasma membrane at bacterial invasion sites. Genetic mutations in either NOD2 or ATG16L1 in individuals with CD disrupt their interaction, thereby hindering bacterial clearance and antigen presentation. CARD9 is associated with the adaptor protein caspase recruitment domain, which is implicated in Dectin-1 (CLEC7A) signaling. Dectin-1 is a pattern-recognition protein receptor that identifies fungal cell wall components. CARD9 signaling is activated upon the detection of fungal ligands by Dectin-1. Modifications in CLEC7A have been linked to medically refractory UC. CARD9 is essential for producing inflammatory cytokines responding to specific bacterial stimuli and viral infections. IL-6, TNF-α, and IL-1β are cytokines reliant on CARD9 function and protect against fungal infections. CARD9 knockout mice exhibit increased susceptibility to Candida albicans, Aspergillus fumigatus, and Cryptococcus neoformans, among other fungi. In humans, inherited CARD9 deficiency has been associated with the onset of invasive Candida species infections in the central nervous system and digestive tract of otherwise healthy individuals. The absence of CARD9 correlates with a reduction in T helper (Th17) cells, which is crucial for maintaining mucosal barrier integrity and facilitating pathogen clearance at mucosal surfaces. Animal models: Murine models serve as valuable instruments for studying the pathophysiology and etiology of human IBD. Although much evidence has illustrated the significant functions of dysbiosis in the etiology of IBD, the specific methods by which intestinal bacteria contribute to illness development remain inadequately elucidated [Supplementary Table 1, https://links.lww.com/CM9/C376]. The advancement of contemporary biotechnology in animal models has elucidated the intricacy and mysteriousness of IBD. Multiple murine models of IBD have been established, including the chemically induced dextran sodium sulfate (DSS) model, the 2,4,6-trinitrobenzene sulfonic acid (TNBS) model, the acetic acid model, and the Citrobacter rodentium (C. rodentium) model of infectious colitis, aimed at enhancing understanding and expanding therapeutic alternatives.[4] Alipour et al[5] applied grading and quantification to terminal ileum (TI) samples from pediatric IBD subgroups and non-IBD disease controls. Immunofluorescence was used to evaluate the mucosal barrier for mucin (MUC2), immunoglobulin (Ig)A, IgG, and total bacteria (fluorescence in situ hybridization [FISH probe EUB338]). The investigators targeted the makeup of the active mucosa-associated microbiota through sequencing using 16S rRNA amplicon produced from total RNA. Patients with UC showed ileal barrier depletion, as evidenced by decreased mucin and mucin-containing goblet cell production and changed expression of NOD-like receptor family pyrin domain containing 6 (NLRP6) on epithelial cells. IgA and IgG-coated bacteria were able to pierce the TI mucin layer in both UC patients with normal histology and CD patients with ileitis. Dietary factors: The role of diet in shaping the gut microbiome is complex and complicated. The consumption of ultra-processed food may predict active symptomatic disease in some IBD cohorts.[1] Colonic microorganisms ferment non-digestible carbohydrates (fiber and resistant starch), while digestible carbs are broken down in the small intestine.[1] Dietary fibers can be toxic in some circumstances. Still, they can also create gasses, lactate, and short-chain fatty acids (SCFAs), all produced during fermentation, with numerous positive physiological consequences. Low SCFA production is seen mainly in UC. This IBD is associated with the absence of bacteria that produce SCFAs and suggests a potential benefit of fermentable fibers in UC. The administration of β-fructan fibers improved moderate UC and was linked to a higher production of SCFA (butyrate). Since many IBD patients report sensitivity to fiber consumption, the generally beneficial effects of fibers related to fermentation and SCFA production have outweighed any potential drawbacks. Ignoring or misinterpreting this process can result in exclusion diets that eliminate non-digestible fibers. These exclusion diets can alleviate symptoms, but they may also deprive patients of the advantages of fibers, which are particularly significant for patients with IBD. The prebiotic potential of β-fructan fibers, which promotes the growth of “beneficial microbes”, has drawn attention to the role of fiber fermentation in IBD. However, the role of microbiota and the fiber fermentation processes, and their potential benefits or drawbacks, are still poorly understood despite the increased research on the subject. The dietary fibers and the components of microorganisms’ cell walls (such as fungal β-[1,3] glucans) are structurally characterized as polymers of more than three sugars (fructooligosaccharides [FOS] has approximately eight sugars, while grain β-d-glucan approximately three sugars) and as many as 50–100 sugars (inulin; fungal β-[1,3] glucan). These can differ in their degree of polymerization, branching, solubility, and interactions with host cells. The immune system’s reaction to polysaccharides on the surface of fungal cells suggests a potential connection between inflammation and whole unfermented fibers. β-(1,3) glucan interacts with immune cells (like macrophages) on the surface of fungi (like zymosan and curdlan) to induce pro-inflammatory antifungal immunity through Dectin-1 and toll-like receptor (TLR) 2. Likewise, β-fructan fibers, such as FOS and inulin, trigger inflammatory pathways mediated by TLRs. Dietary fibers may stay intact, interact with host cell receptors, and increase gut inflammation in patients with decreased fiber-fermenting bacteria (such as those with IBD). Certain fibers may probably be harmful to individuals without fermentative microbes (such as those with IBD, other chronic illnesses, or prolonged antibiotic use), as there may be more opportunities for interactions between the luminal contents and host immune cells. It may be due to a disruption of the epithelial barrier. When consumed by those with a high fermentative capacity, these same fibers provide health benefits. Breastfeeding has been shown to positively affect the development of IBD and medical and public health practice. Moreover, breastfeeding duration was found to have a dose-dependent association. The most robust reduction in risk for CD and UC occurs when breastfeeding lasts for at least 12 months instead of 3 months or 6 months, which confirms ineluctably the protective effect of breastfeeding against the development of IBD. The Mediterranean diet, known for its low consumption of refined carbohydrates, saturated fats, dairy products, and red meat, positively affects the balance of microorganisms in the intestine and the strength of the intestinal barrier. It has also been linked to a lower risk of type 2 diabetes in older individuals, allowing them to live longer and healthier lives. Using probiotics and prebiotics can also help combat age-related inflammation. Probiotics, such as Lactobacillus and Bifidobacteria, are live microorganisms that can be consumed to support overall health. More specifically, probiotics help improve intestinal barrier function and regulate immune responses by modifying the composition of the intestinal microbiome. However, whether the acidic conditions of the stomach allow probiotics to survive long enough to pass into the intestine is still debated. Finally, prebiotic fiber-containing food, like bananas and oatmeal, is rich in prebiotic fibers, which can notably help reduce inflammation. There may be different aspects of diets in IBD cohorts, and IBD patients may respond differently to each diet. Thus, a constant microbiome investigation and periodic screening of IBD patients may be helpful. In conclusion, the future of IBD management is ambiguous, but several tools have improved our approach to this fuzzy and mysterious disease. Predictably, artificial intelligence may help discern the IBD phenotypes puzzle. Although currently considered unpractical, new methodologies can become useful shortly in assessing the microbiome instantly, and nanotechnologies may deliver prebiotics on specific sites that can promptly help some areas of the bowel heal. Funding This research has been funded by the generosity of the Children’s Hospital of Eastern Ontario, Ottawa, Ontario, and the Stollery Children’s Hospital Foundation and supporters of the Lois Hole Hospital for Women through the Women and Children’s Health Research Institute (WCHRI, No. 2096), Natural Science Foundation of Hubei Province for Hubei University of Technology (100-Talent Grant for Recruitment Program of Foreign Experts Total Funding: Digital PCR and NGS-based diagnosis for infection and oncology, 2017-2022), Österreichische Krebshilfe Tyrol (Krebsgesellschaft Tirol, Austrian Tyrolean Cancer Research Institute, 2007 and 2009–“DMBTI and cholangiocellular carcinomas” and “Hsp70 and HSPBP1 in carcinomas of the pancreas”), Austrian Research Fund (Fonds zur Förderung der wissenschaftlichen Forschung, FWF, No. L313-B13), Canadian Foundation for Women’s Health (“Early Fetal Heart-RES0000928”), Cancer Research Society (von Willebrand factor gene expression in cancer cells), Canadian Institutes of Health Research (Omega-3 Fatty Acids for Treatment of Intestinal Failure Associated Liver Disease: A Translational Research Study, 2011–2014, CIHR 232514), and the Saudi Cultural Bureau, Ottawa, Canada. The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".