Influence of the Gut-Brain Axis on Psychiatric Comorbidity in Inflammatory Bowel Disease
Abstract
1. Introduction
2. Method
3. Psychiatric Comorbidity in IBD
3.1. Association Between Psychiatric Comorbidities and IBD Activity
3.2. Genetic and Genomic Correlates of Anxiety and Depression in IBD
3.3. Neurofunctional and Morphological Alterations During IBD
4. The Role of the GM and Its Metabolites in IBD and Psychiatric Disorders
4.1. GM Alterations in IBD
4.2. Gut Microbiome Dysbiosis in Psychiatric Disorders
4.3. Microbial Metabolites
4.4. The Role of the GM in IBD-Related Depression and Anxiety
4.5. Dietary Influence on IBD and Mental Health
5. Therapeutic Approaches for Depression and Anxiety in IBD
5.1. Psychological Approaches
5.2. Pharmacological Approaches
5.3. Microbiota-Targeted Approaches
6. Psychosocial Stressors and Microbiome Interactions in IBD
7. Discussion
8. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| ACT | Acceptance and commitment therapy |
| AI | Artificial intelligence |
| ASD | Autism spectrum disorders |
| BBB | Blood–brain barrier |
| CBT | Cognitive behavioral therapy |
| CD | Crohn’s disease |
| CI | 95% Confidence interval |
| CNS | Central nervous system |
| CRP | C-reactive protein |
| DEGs | Differentially expressed genes |
| DGBIs | Disorders of gut–brain interaction |
| DSS | Dextran sulfate sodium |
| ENS | Enteric nervous system |
| FFAR2 | Free fatty acid receptor 2 |
| FFAR3 | Free fatty acid receptor 3 |
| fMRI | Functional magnetic resonance imaging |
| FMT | Fecal microbiota transplantation |
| GAD | General anxiety disorder |
| GBA | Gut–brain axis |
| GF | Germ-free |
| GLP-1 | Glucagon-like peptide-1 |
| GM | Gut microbiome |
| GMMs | Gut microbiota modulators |
| GI | Gastrointestinal |
| GWAS | Genome-wide association studies |
| HDAC | Histone deacetylase |
| HPA | Hypothalamic–pituitary–adrenal |
| 5-HT | Serotonin |
| IBD | Inflammatory bowel disease |
| IBS | Irritable bowel syndrome |
| KYN | Kynurenine |
| MBI | Mindfulness-based intervention |
| MDD | Major depressive disorder |
| MR | Mendelian randomization |
| OR | Odds ratio |
| PUFAs | Polyunsaturated long-chain fatty acids |
| PVT | Paraventricular thalamic nucleus |
| RCT | Randomized clinical trial |
| SCFAs | Short-chain fatty acids |
| SNPs | Single nucleotide polymorphisms |
| SNRIs | Serotonin and norepinephrine reuptake inhibitors |
| SSRIs | Serotonin reuptake inhibitors |
| TCAs | Tricyclic antidepressants |
| UC | Ulcerative colitis |
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| Study/Country | Study Design | IBD Subjects | IBD Diagnosis | Effects Estimates (95% CI) |
|---|---|---|---|---|
| Bernstein et al., 2019 [46]/Canada | Retrospective cohort | N = 6119 IBD patients Control: N = 30,573 Follow up 10 years | ICD-9-CM/ICD-10-CA codes | D: IRR = 1.58 [1.41–1.76] A: IRR = 1.39 [1.26–1.53] BD: IRR = 1.82 [1.44–2.30] S: IRR = 1.64 [0.95–2.84] |
| Bernstein et al., 2021 [50]/Canada | Retrospective cohort | N = 4623 IBD patients Control: N = 22,207 Follow up 16 years | ICD-9-CM/ICD-10-CA codes | BD: OR = 1.68 |
| Bhamre et al., 2018 [51]/India | Prospective case–control | N = 70 IBD patients Control: N = 100 | D: PHQ-9/HAM-D A: SCL-A20/HAM-A | D: OR = 9.4 A: OR = 11.17 |
| Bhandari et al., 2017 [52]/USA | Retrospective cohort | N = 2,235,226 IBD patients Control: N = 190,269,933 | D: questionnaire on any depressive symptoms | D: OR = 3.1 |
| Bisgaard et al., 2023 [53]/Denmark | Nationwide population-based cohort | N = 22,103 IBD patients Control: N = 110,515 Follow up 9.7–10 years | ICD-10 codes | D: OR = 1.4 and 1.5 after 10 years A: OR = 1.4 and 1.3 after 10 years BD: OR = 0.9 |
| Blackwell et al., 2021 [54]/UK and Denmark | Nested case–control | N = 10,829 patients with UC, N = 4531 patients with CD, Control: N = 15,360 Follow up 7.4 years | Codes from CPRD | D: OR = 1.47 UC; OR = 1.41 CD |
| Choi et al., 2019 [55]/Korea | Nationwide population-based cohort | N = 15,569 IBD patients Control: N = 46,707 Follow up 6 years | ICD-10 codes | D: OR = 2.06 CD; OR = 1.93 UC A: HR = 1.58 [1.43–1.74] CD; HR = 1.58 [1.38–1.82] UC |
| Cooney et al., 2024 [56]/UK | Retrospective, observational study | N = 3898 IBD patients Control: N = 15,571 | ICD-10 codes | D: aHR = 1.34 [1.16–1.56] A: aHR = 1.25 [1.06–1.48] BD: aHR = 0.74 [0.34, 1.59] |
| Fuller-Thomson et al., 2015 [57]/Canada | Cross-sectional survey | N = 269 IBD patients Control: N = 22,522 | GAD | A: OR = 2.18 |
| Hernández Camba et al., 2022 [58]/Spain | Cross-sectional survey | N = 61 patients with UC, and N = 36 patients with CD Control: N = 596 | DASS-21 | D: OR = 2.46 A: OR = 1.35 |
| Irving et al., 2021 [59]/UK | Retrospective cohort | N = 19,011 IBD patients Control: N = 76,044 Follow up 1 year | Algorithms validated in UK primary care | D: OR = 1.31 A: OR = 1.15 |
| Kao et al., 2019 [44]/Taiwan | Cross-sectional survey | N = 3590 IBD patients Control: N = 14,360 | ICD-9-CM codes | BD: OR = 2.10 |
| Kim et al., 2023 [60]/Korea | Retrospective cohort | N = 32,867 IBD patients Follow up 6 years | ICD-10 codes | D: OR = 1.39 |
| Larussa et al., 2020 [61]/Italy | Cross-sectional survey | N = 143 patients with UC and N = 59 patients with CD | S-IBDQ, HADS, B-IPQ | D: OR = 2.45 |
| Liu et al., 2025 [38]/UK | Prospective cohort from a UK biobank | N = 2851 patients with UC and N = 1200 patients with CD Control: N = 394,851 Follow up 13,6 years | ICD-10 codes | PDs: HR = 1.21 [1.11–1.33] UC; HR = 1.15 [1.01–1.31] CD |
| Ludvigsson et al., 2021 [62]/Sweden | Nationwide population-based cohort | N = 69,865 IBD patients Control: N = 3,472,913 Follow up 8 years | National patient register | D: HR = 1.4 [1.4–1.5] A: HR = 1.3 [1.3–1.4] BD: HR = 1.1 [1.1–1.2] |
| Ma et al., 2023 [39]/UK | Prospective cohort from a UK biobank | N = 3561 IBD patients Control: N = 493,573 Follow up 13.3 years | ICD-10 codes | D: HR = 1.56 [1.39–1.76] overall, HR = 1.54 [1.25–1.90] CD, HR = 1.52 [1.30–1.78] UC |
| Marrie et al., 2017 [4]/Canada | Retrospective cohort | N = 6119 IBD patients Control: N = 97,727 Follow up 23 years | ICD-9-CM/ICD-10-CA codes | D: IRR = 1.71 [1.64–1.79] A: IRR = 1.34 [1.29–1.40] BD: IRR = 1.68 [1.52–1.85] S: IRR = 1.32 [1.03–1.69] |
| Marrie et al., 2018 [63]/Canada | Retrospective cohort | N = 8695 IBD patients Control: N = 43,465 Follow up 12.6 years | Validated case definitions | D: OR = 1.45 A: OR = 1.26 BD: OR = 1.44 |
| Roderburg et al., 2024 [64]/Germany | Retrospective cohort | N = 9073 patients with UC and N = 6761 patients with CD Control: N = 31,728 Follow up 5 years | ICD-10 codes | D: HR = 1.4 CD; HR = 1.32 UC A: HR = 1.21 CD; HR = 1.28 UC |
| Tarar et al., 2022 [65]/USA | Retrospective cohort | N = 192,724 IBD patients Control: N = 12,848,266 | ICD-10 codes | D: OR = 1.28 CD; OR = 1.55 UC A: OR = 1.4 overall |
| Thavamani et al., 2019 [66]/USA | Retrospective case–control | N = 58,020 IBD patients Control: N = 11,316,450 | SNOMED-CT | D: OR = 3.94 A: OR = 4.05 |
| Umar et al., 2022 [67]/UK | Retrospective cohort | N = 48,799 IBD patients Control: N = 190,075 | THIN | D: IRR = 1.36 [1.31–1.42] overall, HR = 1.36 [1.26–1.47] CD, HR = 1.30 [1.23–1.36] UC A: IRR = 1.17 [1.11–1.24] overall, HR = 1.38 [1.16–1.65] CD, HR = 1.26 [1.07–1.47] UC |
| Vigod et al., 2019 [68]/Canada | Retrospective cohort | N = 3721 IBD patients Control: N = 58,020 | ICD-9-CM/ICD-10-CA codes, DSM-IV | D: HR = 1.12 [1.05–1.23] CD, HR = 1.12 [1.05–1.20] UC |
| Zhang et al., 2022 [69]/Taiwan | Retrospective cohort | N = 422 IBD patients Control: N = 2148 Follow up 11 years | Depressive disorder | D: OR = 9.43 |
| Study/Country | Study Design | Population | Diagnostic Methods | Results/Outcomes |
|---|---|---|---|---|
| Askar et al., 2021 [89]/Egypt | Cross-sectional observational study | N = 105 patients (23 with CD and 82 with UC) Mean age: 33.2 years | SCID I, HAM-D, and HAM-A | Although the prevalence of depression or anxiety in patients was high (56.1% and 37.1%, respectively), there was no correlation between both the severity of depression and anxiety and the severity of IBD, either UC or CD. |
| Bernabeu et al., 2024 [87]/Spain | Prospective, multi-center, observational study | N = 156 patients (80 with CD and 76 with UC) Mean age: 42.3 years | HADS, IBDQ-32, and PSS | A total of 37.2% of patients exhibited symptoms of anxiety, while 17.3% exhibited symptoms of depression. Quality of life was impaired in 30.1% of patients. Factors associated with anxiety in the early stages of IBD included being female and having CD. The only factor related to depression was the presence of comorbidity. Impaired quality of life was associated with being female and experiencing previous stressful life events. |
| Byrne et al., 2017 [83]/Canada | Retrospective chart review | N = 327 patient chart with CD and UC Age: >18 years | PHQ-9, GAD-7, or by diagnosis through psychiatric interview | Rates of depression and anxiety were 25.8% and 21.2%, with 30.3% of patients suffering from depression and/or anxiety. Disease activity was significantly related to depression and/or to anxiety. Females were more likely to experience anxiety. |
| Cadogan et al., 2025 [90]/Canada | Cross-sectional study | N = 154 patients with IBD (63% CD) Age: >18 years | SCID I and DSM-5 categorization | Of 154 IBD participants, 57% had at least one psychiatric comorbidity with 27% having more than one psychiatric diagnosis. The prevalence was MDD (41.7%), anxiety disorders (39.6), SUD (16.2%), PTSD (5.3%), OCD (4.9%), and BD (2.0%). Of those with >1 psychiatric disorder > 70% had MDD and a comorbid anxiety disorder. Individuals with one or more psychiatric comorbidities were more likely to be current smokers and to exhibit higher IBD activity scores compared to those without psychiatric comorbidities. |
| Chan et al., 2017 [85]/Singapore | Cross-sectional study | N = 200 patients (95 with CD and 105 with UC) Age: >18 years | IBD-DI, HADS, and IBDQ | Symptoms related to anxiety and depression were common in this cohort of IBD and were strongly associated with IBD-related disability. |
| Cooney et al., 2024 [56]/UK | Retrospective, observational study | N = 3898 patients with IBD Age: 5–25 years | ICD-10 | IBD patients were significantly more likely to develop new PTSD, eating disorders, self-harm, sleep disturbance, depression, anxiety, and any mental health condition. Male IBD patients aged 12 to 17 years, and patients with CD seem to exhibit the highest risk for the onset of new mental disorders. |
| Fairbrass et al., 2023 [86]/UK | Longitudinal study. Follow up for 12 months | N = 1548 patients with IBD Age: >18 years | HADS, PHQ-12, and SIBDQ | Only subjects with persistently abnormal or worsening depression scores were more likely to be referred to a gastroenterologist or IBD nurse specialist in the outpatient clinic. |
| Gao et al., 2021 [91]/China | Cross-sectional study | N = 341 patients (221 with CD and 120 with UC) Mean age: 33 years | HADS | The prevalence of anxiety/depression symptoms in IBD patients was 33.1%. Those with CD experiencing these symptoms tended to show higher endoscopic severity scores compared to those without anxiety or depression. |
| García-Alanís et al., 2021 [92]/Mexico | Cross-sectional study | N = 104 patients (12 with CD and 92 with UC) Mean age: 41.8 years | IBDQ-32 and SCID-I | The prevalence of any major mental disorder in IBD patients was 56.7%, with specific rates for anxiety (44.2%), mood disorders (27.9%), SUD (12.2%), and other psychiatric conditions (17.3%). From total, 29.8% of the patients presented three or more comorbid diagnoses. SUD was associated with lower digestive quality. MDD, social phobia, PTSD, and GAD were found to be significantly related to lower life quality. |
| Jordi et al., 2022 [81]/Switzerland | Prospective cohort study | N = 1973 patients (1137 with CD and 836 with UC) Age: 24.6–50 years | HADS | The prevalence of depression was found to be high in IBD patients, with active disease further increasing the risk for depression. Conversely, depressive symptoms also independently increased the risk for IBD flare-ups over time and appear to have a negative impact on various disease outcomes. In addition, the alleles of two SNPs (rs588765-TC, rs2522833 C allele) were found to be negatively associated with depressive symptoms in IBD patients, with the rs588765-TC allele combination also linked to lower IBD activity. |
| Nadeem et al., 2024 [93]/USA | Retrospective, cohort study | N = 69,105 patients with IBD Age: >18 years | ICD-10 | Patients with active IBD were significantly more likely to develop MDD, anxiety, BD, alcohol use disorder, opiate use disorder, ADHD, and OCD. In addition, these patients were also more likely to use a wide range of psychotropic drugs, such as antidepressants, antipsychotics, anxiolytics, sedatives, hypnotics, mood stabilizers, stimulants, and medications employed for SUD. |
| Oyama et al., 2022 [82]/Japan | Case–control study based in a nationwide database | N = 159,481 patients (78,230 with CD and 81,251 with UC) Age: >18 years | ICD-10 | The study found an association between a more severe clinical course of UC and depression. This finding suggests that depression could be related to increased disease activity in patients with UC, but the causal relationship remains unclear. In the analysis of CD, only steroid treatments were found to be associated with depression. |
| Rasmussen et al., 2025 [88]/Denmark | Nationwide register-based retrospective cohort study | N = 4904 patients with CD, N = 5794 with UC, and N = 94,802 matched references Age: <25 years and follow up until 30 years | ICD-10 K50 and K51 codes | Patients with CD diagnosed before the age of 18 had an increased risk of anxiety (IRR = 1.58), while those diagnosed between the ages of 18 and 24 faced a higher risk of both anxiety and mood disorders. Patients with UC diagnosed before age 18 also showed a higher risk of anxiety (IRR = 1.39). Overall, patients with CD and UC are at an elevated risk for mental health conditions, particularly emotional disorders, and have higher rates of psychotropic drug use. |
| Riggott et al., 2025 [94]/UK | Prospective longitudinal study. Follow-up 5 years | N = 804 IBD patients Mean age: 44 years | HADS and PHQ-15 | Among 717 participants with clinical activity data and 187 with both clinical and biochemical activity data, the rates of adverse outcomes were higher with increasing disease activity and greater psychological comorbidity. |
| Tribbick et al., 2015 [95]/Australia | Outpatient cohort | N = 81 IBD patients Mean age: 35 years | HADS, Manitoba Index, and MINI | A percentage of 19.8% participants had at least one anxiety-related disorder, while 11.1% were diagnosed with a depressive disorder. Active IBD was related to higher prevalence rates of both anxiety and depression. GAD was the most common anxiety-related condition (14.8%), and MDD was the most common depressive condition (6.2%). |
| van den Brink et al., 2018 [84]/The Netherlands | Prospective cohort study | N = 374 IBD patients Age: 10–25 years | HADS and SCARED | Mild anxiety or depressive symptoms were present in 35.2% of patients, while severe symptoms were reported in 12.4%. Elevated symptoms of anxiety (28.3%), depression (2.9%), or both (15.8%) were observed, with no significant differences between adolescents (10–17 years) and young adults (18–25 years). Active disease significantly predicted depressive symptoms. Female, active disease, and a shorter disease duration significantly predicted anxiety and/or depressive symptoms. |
| Study/Country | Treatment | Subjects | Effects on Depression | Effects on Anxiety |
|---|---|---|---|---|
| Psychotherapy | ||||
| Chappell et al., 2024 [255]/Canada | MBI/Multicenter single-arm | IBD patients | MBI: + | MBI: + |
| Ewais et al., 2019 [256]/Australia | MBI/Meta-analysis | IBD patients | MBI: + | MBI: − |
| Hou et al., 2017 [253]/USA | ACT/1-day workshop | IBD patients | ACT: − | ACT: + |
| Kalogeropoulou et al., 2025 [247]/Greece | CBT/Prospective RCT | IBD patients | CBT: + | CBT: + |
| Kok et al., 2023 [249]/UK | CBT, MBI, ACT/Practical guide | IBD patients | CBT: − MBI: + ACT: + | CBT: − MBI: − ACT: − |
| Naude et al., 2023 [254]/Australia and New Zealand | MBI/Meta-analysis | IBD patients | MBI: − | MBI: − |
| Naude et al., 2024 [250]/Australia and New Zealand | CBT, ACT/RCT | IBD patients | CBT: + ACT: + | CBT: − ACT: + |
| Romano et al., 2024 [251]/Australia and New Zealand | ACT/RCT | IBD patients | ACT: + | ACT: + |
| Wang et al., 2023 [246]/P.R. China | CBT/Meta-analysis | IBD patients | CBT: + | CBT: + |
| Wynne et al., 2019 [252]/Ireland | ACT/RCT | IBD patients | ACT: + | ACT: − |
| Pharmacotherapy | ||||
| Panés et al., 2023 [271]/12 European countries | Ustekinumab/Open-label multicenter RCT | CD patients | + | + |
| Stevens et al., 2017 [17]/USA | Vedolizumab and anti-TNF/Prospective cohort study | IBD patients | + | + |
| Zhang et al., 2018 [273]/P.R. China | Infliximab/Prospective cohort study | CD patients | + | + |
| Zhao et al., 2022 [274]/P.R. China | Standard medical therapy/Meta-analysis | IBD patients | + | − |
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Borrego-Ruiz, A.; Borrego, J.J. Influence of the Gut-Brain Axis on Psychiatric Comorbidity in Inflammatory Bowel Disease. Psychiatry Int. 2026, 7, 52. https://doi.org/10.3390/psychiatryint7020052
Borrego-Ruiz A, Borrego JJ. Influence of the Gut-Brain Axis on Psychiatric Comorbidity in Inflammatory Bowel Disease. Psychiatry International. 2026; 7(2):52. https://doi.org/10.3390/psychiatryint7020052
Chicago/Turabian StyleBorrego-Ruiz, Alejandro, and Juan J. Borrego. 2026. "Influence of the Gut-Brain Axis on Psychiatric Comorbidity in Inflammatory Bowel Disease" Psychiatry International 7, no. 2: 52. https://doi.org/10.3390/psychiatryint7020052
APA StyleBorrego-Ruiz, A., & Borrego, J. J. (2026). Influence of the Gut-Brain Axis on Psychiatric Comorbidity in Inflammatory Bowel Disease. Psychiatry International, 7(2), 52. https://doi.org/10.3390/psychiatryint7020052

