Abstract
Objective
Inflammation is associated with major depressive disorder (MDD) and suicidal behavior. According to the ‘leaky gut hypothesis’, increased intestinal permeability may contribute to this relationship via bacterial translocation across enterocytes. We measured plasma levels of gut permeability markers, in patients with a recent suicide attempt (rSA), MDD subjects with no history of a suicide attempt (nsMDD), and healthy controls (HC), and related these markers to symptom severity and inflammation.
Method
We enrolled rSA (n = 54), nsMDD (n = 13), and HC (n = 17). Zonulin, intestinal fatty acid binding protein (I‐FABP), soluble CD14, and interleukin‐6 (IL‐6) were quantified in plasma. Montgomery–Åsberg Depression Rating Scale (MADRS) and Suicide Assessment Scale (SUAS) were used for symptom assessments.
Results
The rSA group displayed higher I‐FABP and lower zonulin levels compared with both the nsMDD and the HC groups (all P < 0.001). IL‐6 correlated positively with I‐FABP (r = 0.24, P < 0.05) and negatively with zonulin (r = −0.25, P < 0.05). In all subjects, I‐FABP levels correlated positively with MADRS (r = 0.25, P < 0.05) and SUAS scores (r = 0.38, P < 0.001), and the latter correlation was significant also in the nsMDD group (r = 0.60, P < 0.05).
Conclusion
The ‘leaky gut hypothesis’ may improve our understanding of the link between inflammation and suicidal behavior. These findings should be considered preliminary until replicated in larger cohorts.
Keywords: suicide, attempted; depressive disorder, major; zonulin; intestinal fatty acid binding protein; intestinal permeability
Significant outcomes.
Gut permeability markers zonulin and intestinal fatty acid binding protein were altered in patients with a recent suicide attempt.
Gut permeability markers correlated significantly with interleukin‐6 – a marker of systemic inflammation.
The ‘leaky gut hypothesis’ may help explain part of the association between of the inflammation and suicidal behavior.
Limitations.
The sample size was relatively small; hence, these findings need to be replicated in larger samples.
It is possible that our results were confounded by unmeasured variable such as smoking, alcohol intake, or dietary habits.
Introduction
Several lines of evidence support an association between inflammation and major depressive disorder (MDD) 1, 2, 3. Some reports suggest that this immune activation might be even more pronounced in suicidal individuals 4, 5, 6, 7, 8, 9, 10. The underlying pathobiology behind inflammation in suicidal behavior and depression is not fully understood. The so‐called gut–brain axis, linking emotional and cognitive brain centers with gastrointestinal function, has recently received substantial attention in relation to psychiatric disorders 11. This bidirectional crosstalk between the digestive system and the brain could be mediated via changes in gut microbiota resulting in immune activation, potentially generating various types of psychiatric symptoms 12, 13, 14, 15, 16, 17. Specifically, a leaking gut allows translocation of lipopolysaccharides (LPS), molecules found on the outer membrane of gram‐negative bacteria, from the gut into the circulation. LPS, in turn, activate various immune cells, leading to increased secretion of pro‐inflammatory cytokines and systemic low‐grade inflammation 18, 19.
Some currently used markers of gut permeability are lactulose/mannitol challenge test, fecal calprotectin, and histological analysis of intestinal biopsies 14. Intestinal permeability can also be determined in blood plasma, for example, by measuring zonulin and intestinal fatty acid binding protein (I‐FABP). Zonulin, first described in 2000 by Fasano et al. 20 , is a protein involved in modulating the permeability of the small intestine. Zonulin has been shown to induce disassembly of tight junctions between cells of the duodenum and small intestine, resulting in increased permeability 21. Another potential marker of gut integrity is I‐FABP, also known as FABP2 22. This cytoplasmic protein is found in the enterocytes of the small intestine and elevated levels indicate enterocyte damage 23, 24. Although zonulin and I‐FABP have not been studied in psychiatric samples, one previous study on individuals with HIV found that these two markers are inversely correlated and that high I‐FABP and low zonulin predicted mortality 25. The underlying mechanisms are currently unknown but it has been hypothesized that greater gut epithelial cell death or dysfunction might decrease the expression of zonulin 25, suggesting that low plasma zonulin levels may be indicative of greater gut permeability. Soluble CD14 (sCD14) is a co‐receptor for LPS considered to be an activation marker for monocytes and other blood mononuclear cells released after stimulation 26. LPS induce secretion of sCD14 from immune cells 27; hence, high plasma levels of sCD14 are thought to reflect exposure to LPS 28, 29. sCD14 is increased in conditions thought to be characterized by greater gut permeability such as celiac disease 30, 31, potentially as a consequence of bacterial translocation across enterocytes 31. However, given that sCD14 is a non‐specific marker of monocyte activation that can be released from immune cells via other, non‐LPS dependent, mechanisms 26, any specificity as a biomarker of gut permeability is yet to be determined. To the best of our knowledge, no studies have investigated biomarkers of increased gut permeability in patients with MDD and in patients with recent suicidal behavior, or the relationship between such markers and systemic inflammation and illness severity.
Aims of the study
The aim of the present study was to measure plasma levels of zonulin and I‐FABP in three groups: patients with a recent suicide attempt (rSA), MDD subjects with no history of a suicide attempt (nsMDD), and healthy controls (HC), and to relate these markers to interleukin‐6 (IL‐6) (a cytokine previously found to be elevated in suicide attempters 7, 32), sCD14, and symptom severity. Based on previous studies linking inflammation to suicidal behavior per se, we hypothesized that any evidence of increased gut permeability would be most pronounced among rSA, followed by nsMDD, and HC.
Material and methods
Subjects
All included subjects gave written informed consent to participate, and the study was approved by Lund University Medical Ethics Committee. nsMDD subjects (n = 13) were recruited from the psychiatric clinic at Lund University Hospital between 2001 and 2003. They all fulfilled the Diagnostic and Statistical Manual of Mental Disorders (DSM)‐IV criteria for moderate to severe MDD. None of these subjects had a history of a previous suicide attempt. Additional exclusion criteria were pregnancy, cardiovascular disease, and treatment with antidepressants, neuroleptics, or mood stabilizers during the last month. One subject had ongoing alcohol abuse, and one subject had previous alcohol abuse. HCs (n = 17) were recruited between 2001 and 2003. They were randomly selected from the municipal population register in Lund, Sweden. They were somatically healthy and had no history of mental disorders, as determined by medical history, routine blood screening, and physical examination. The rSA group (n = 54) was enrolled following admission to Lund University Hospital after a suicide attempt between 2006 and 2009. Psychiatric diagnoses were determined according to the DSM‐IV. Depressive symptoms were rated using the Montgomery–Åsberg Depression Rating Scale (MADRS) 33. Suicidality was assessed by means of the Suicide Assessment Scale (SUAS) 34. Characteristics of the study population are presented in Table 1.
Table 1.
Demographic and clinical characteristics for the three groups
| rSA (n = 54) | nsMDD (n = 13) | HC (n = 17) | P‐value | |
|---|---|---|---|---|
| Sex (f/m) | 30/24 | 7/6 | 8/9 | 0.83a |
| Age (years; mean ± SD) | 38.5 ± 14.5 | 34.5 ± 11.5 | 34.4 ± 11.4 | 0.42b |
| Body mass index (kg/m2; mean ± SD) | 25.7 ± 4.4 | 25.9 ± 8.7 | 23.1 ± 3.1 | 0.16b |
| MADRS score (mean ± SD) | 21.0 ± 11.7 | 28.7 ± 7.6 | 0.8 ± 1.5 | <0.001b |
| SUAS score (mean ± SD) | 38.8 ± 16.9 | 28.3 ± 6.3 | 0.8 ± 2.2 | <0.001b |
| Zonulin, ng/ml (median, IQR) | 5.8, 3.7–7.3 | 26.4, 22.8–34.2 | 22.4, 20.3–29.5 | <0.001b |
| Intestinal fatty acid binding protein, pg/ml (median, IQR) | 2027.5, 1277.8–2723.8 | 559.8, 431.4–976.5 | 667.8, 474.6–1378.0 | <0.001b |
| Soluble CD14, ng/ml (median, IQR) | 1012.5, 769.5–1222.5 | 917.5, 325.5–1082.7 | 704.9, 345.3–1090.7 | 0.13b |
rSA, patients with a recent suicide attempt; nsMDD, MDD subjects with no history of a suicide attempt; HC, healthy controls. Non‐normally distributed biomarkers were log‐ or Blom‐transformed prior to analyses; IQR, interquartile range; MADRS, Montgomery–Åsberg Depression Rating Scale; SUAS, Suicide Assessment Scale.
Pearson's chi‐square.
One‐way anova.
Sample handling
Blood samples were collected in EDTA vacuum tubes. The samples were immediately placed on ice and centrifuged at 4°C and 2000× g for 10 min within 1 h of collection and stored at −80°C until analysis (mean 12 ± 2 years after sample collection).
Assays
Plasma zonulin (P‐zonulin) was measured using a competitive enzyme immunoassay (Immundiagnostik AG, Bensheim, Germany) according to the manufacturer's instructions. The assay only detects the active (uncleaved) form of zonulin. Plasma I‐FABP and sCD14 concentrations were measured using a sandwich enzyme immunoassay (RnD Systems, Abingdon, UK) according to the manufacturer's instructions. Detection limits: zonulin = 0.22 ng/ml, I‐FABP = 6.2 pg/ml, and sCD14 = 0.125 ng/ml. All samples were above detection limits. Intra‐assay coefficients of variation (CV) were 3.5% for I‐FABP, 4.3% for Zonulin, and 5.4% for sCD14. Interassay CVs were 8.4% for I‐FABP, 13.4% for Zonulin, and 6.3% for sCD14.
IL‐6 was assayed on three 96‐well plates with samples from HCs, nsMDD, and rSA subjects distributed on all three plates. To avoid batch‐to‐batch variation, all the reagents used for the cytokine analysis were from the same kit. IL‐6 was measured in the plasma using ultra‐sensitive electrochemiluminescence immunoassays according to the manufacturer's recommendations (Meso Scale Discovery, UK). Standards and samples were analyzed in duplicate. The detection limit was 0.050 pg/ml IL‐6. IL‐6 data from this sample have been published previously 7.
Statistical analyses
spss was used for statistical analysis of data. Correlations were tested using Pearson's r. Pearson's chi‐square was used to compare proportions between groups. Non‐normally distributed variables were log‐transformed to achieve normality. In cases when log‐transformation was insufficient (viz., IL‐6 and I‐FABP levels), we used Blom transformation 35, a statistical procedure replacing each raw score with its rank value and adjusting the scale distances between the ranks to achieve a normal distribution. One‐way anova with Bonferroni correction was used to test between‐group differences adjusting for covariates when appropriate (ancova). We adjusted groupwise comparisons for age, gender, body mass index (BMI), and substance use. We conducted a series of sensitivity analyses in order to take into account the potentially confounding effects of concurrent medications and somatic comorbidity.
Results
Demographics
There were no significant between‐group differences in sex distribution, age, or BMI (Table 1). The nsMDD group had the highest MADRS score, followed by rSA and HCs. The rSA had the highest SUAS score, followed by nsMDD and HCs. Psychiatric/somatic diagnoses and medications are summarized in Table 2.
Table 2.
Principal psychiatric diagnoses, somatic comorbidities that could potentially interfere with biomarkers, and medications in all subjects
| rSA (n = 54) | nsMDD (n = 13) | HC (n = 17) | |
|---|---|---|---|
| Principal DSM diagnosis (n) |
MDD = 12 Depressive disorder NOS = 3 Schizoaffective disorder = 2 Psychotic disorder NOS = 1 Bipolar disorder 1 = 3 Bipolar disorder II = 12 GAD = 1 Anxiety disorder NOS = 4 Dysthymic disorder = 3 Alcohol dependence = 6 Substance dependence = 3 Adjustment disorder = 3 Adjustment disorder with Depressed mood = 1 |
MDD = 13 | N/A |
| Somatic comorbidities (n)a |
Asthma/allergy = 2 Diabetes = 2 Psoriasis = 1 |
Asthma/allergy = 1 Ulcerative colitis = 1 |
Asthma/allergy = 2 |
| Psychiatric medications (n) |
Antidepressants = 25 Mood stabilizers only = 4 Mood stabilizers + antidepressants = 6 Neuroleptics + antidepressants = 8 Other combinations = 3 No psychotropics = 8 |
N/A | N/A |
| Somatic medications |
Regular NSAID = 3 Antibiotics = 3 |
N/A | N/A |
rSA, patients with a recent suicide attempt; nsMDD, MDD subjects with no history of a suicide attempt; HC, healthy controls; DSM, Diagnostic and Statistical Manual of Mental Disorders; NOS, not otherwise specified; GAD, generalized anxiety disorder; NSAID, non‐steroid anti‐inflammatory drug.
One individual had both asthma and diabetes.
Group differences
The rSA group had significantly higher I‐FABP and lower zonulin levels compared to both HCs and the nsMDD group (all P < 0.001; Fig. 1). There were no other significant between‐group differences. Adjusting for age, sex, BMI, and substance use did not significantly alter these findings (all P < 0.001). rSA continued to have significantly higher I‐FABP and lower zonulin levels compared to both nsMDD and HCs after (i) including only those rSA free of psychotropic medications (n = 8) (all P < 0.01), (ii) excluding all subjects taking anti‐inflammatory medications or antibiotics (n = 6) (all P < 0.001), and (iii) excluding all subjects with somatic conditions that could have an impact on the biomarkers (asthma/allergies, inflammatory bowel disease, psoriasis, diabetes; n = 8) (all P < 0.001). In exploratory analyses, we compared biomarker levels between the three largest diagnostic groups within the rSA group (bipolar mood disorders, n = 15; unipolar mood disorders, n = 18; and alcohol/substance dependence, n = 9), but there were no significant between‐group differences in zonulin, I‐FABP, or sCD14 (one‐way anova, all P > 0.29).
Figure 1.

Zonulin, intestinal fatty acid binding protein (I‐FABP), and soluble CD14 levels in patients with a recent suicide attempt, MDD subjects with no history of a suicide attempt, and healthy controls. One‐way anova with Bonferroni correction on normalized data. Box plots indicate median and interquartile range (IQR), and whiskers indicate range.
Correlation analyses
In all subjects, I‐FABP correlated negatively with zonulin (r = −0.46, P < 0.001) and positively with IL‐6 (r = 0.24, P < 0.05) and sCD14 (r = 0.27, P < 0.05). Zonulin correlated negatively and significantly with IL‐6 (r = −0.25, P < 0.05) but not with sCD14 (r = −0.16, P = 0.16) (Fig. 2).
Figure 2.

Intercorrelations between biomarkers in all subjects (Pearson's r). Non‐normally distributed variables were log‐ or Blom‐transformed prior to analyses. I‐FABP, intestinal fatty acid binding protein; sCD14, soluble CD14; IL‐6, interleukin‐6.
In all subjects, MADRS scores correlated significantly and positively with I‐FABP (r = 0.25, P < 0.05) and negatively at trend level with zonulin (r = −0.21, P = 0.07). When rSA and nsMDD were analyzed separately, these correlations did not reach significance (all P > 0.2).
In all subjects, SUAS scores correlated significantly and positively with I‐FABP (r = 0.38, P < 0.001) and negatively with zonulin (r = −0.51, P < 0.001). When rSA and nsMDD were analyzed separately, the positive correlation between SUAS and I‐FABP remained significant in the nsMDD group (r = 0.60, P < 0.05) (Fig. 3), but none of the other correlations were significant in any of the groups (all P > 0.51).
Figure 3.

Correlation between Suicide Assessment Scale (SUAS) total score and intestinal fatty acid binding protein (I‐FABP) in subjects with major depressive disorder without a history of a suicide attempt (Pearson's r). I‐FABP levels were Blom‐transformed prior to analysis.
Discussion
This is, to the best of our knowledge, the first study to investigate biomarkers of gut permeability in patients with suicidal behavior and depressed patients without a history of a suicide attempt. Consistent with our hypothesis of an association between suicidal behavior and increased gut permeability, I‐FABP, a marker of enterocyte damage, was significantly elevated in rSA and directly correlated with severity of depressive symptoms. Interestingly, high I‐FABP levels were directly correlated with severity of suicidal symptoms also among those depressed patients who had not attempted suicide, supporting a link also between suicidal ideation and increased gut permeability and/or enterocyte damage. Plasma zonulin levels, however, were significantly decreased in rSA and negatively associated with I‐FABP, suggesting that these two blood markers may represent different aspects of gut integrity in this sample. Finally, the observed group differences did not seem to be confounded by the effects of sex, age, BMI, medication use, substance abuse, or somatic comorbidities.
Several studies have reported a link between various psychiatric disorders, gut integrity, and microbiota 14, 36, 37, 38, 39, although any causal relationships have not yet been determined. In support of the notion that gastrointestinal alterations may actually cause depressive symptoms, Kelly et al. 40 demonstrated that oral transplantation of fecal microbiota from depressed patients to microbiota‐depleted rats induces depressive‐like symptoms. Moreover, some 41, 42, but not all 43, clinical trials report that probiotics may alleviate symptoms of depression and anxiety, further supporting a mechanistic relationship between dysbiosis and psychiatric symptoms. These biological mechanisms are, however, not restricted to psychiatric disorders. Increased gut permeability and/or dysbiosis have been suggested as pathophysiological mechanisms also in metabolic disorders 18, 44, 45, rheumatoid disorders 46, 47, and HIV infection 25, 48, all conditions with a persistent inflammatory component and a heightened risk of depression 49, 50, 51, 52. Although a direct causal link between gut permeability and some of these conditions has not yet been fully established, we hypothesize that this could represent a common pathophysiological mechanism in some cases, explaining part of the comorbidity between certain psychiatric and somatic disorders. Despite some evidence suggesting a biological link between gut integrity and psychiatric symptoms, it is also possible that this association can be partly explained by a psychological reaction to a debilitating somatic condition. For instance, individuals with a gastrointestinal disorder may be more prone to develop depressive symptoms due to the psychological burden of their somatic illness. Future studies are needed to tease apart these effects.
In the present study, we found increased I‐FABP in rSA, while zonulin was significantly lower in the same group. Moreover, these two biomarkers were inversely correlated, suggesting that they represent different aspects of gut permeability. I‐FABP was also directly correlated with IL‐6, a cytokine previously implicated in suicidality 32, 53. We have previously shown, in the same cohort as the present study, that suicide attempters have elevated levels of plasma IL‐6 compared to MDD subjects and controls 7. Although the current study is the first psychiatric study relating gut permeability markers to markers of systemic inflammation, the correlation between I‐FABP and IL‐6 is in line with a previous study on HIV patients 25, a group characterized by increased gut permeability 54. High I‐FABP levels indicate greater enterocyte damage, while lower zonulin levels could in fact also indicate that gut integrity is compromised. In support of this, Hunt et al. 25 also reported a negative correlation between zonulin and I‐FABP in subjects with HIV infection. Additionally, low zonulin in combination with increased I‐FABP predicted mortality in this group 25. Viable gut epithelial cells express zonulin to disassemble intercellular tight junctions, thereby increasing permeability 21. Although speculative and in need of replication, we hypothesize that the lower zonulin levels observed among rSA in our study reflect greater gut epithelial cell death or dysfunction.
Although the cross‐sectional design of the current study precludes any causal inferences, there are several different hypotheses that could explain increased gut permeability in patients with suicidal behavior. Increased gut permeability may be partly genetically determined as has been shown in studies on inflammatory bowel disease 55. Moreover, several lifestyle factors, most notably dietary habits, influence gut permeability. Specifically, diets consisting of fast food and processed food have been linked to both increased gut permeability as well as symptoms of depression and suicidality 14, 56. Additionally, gut permeability alterations in the rSA group may be secondary to changes in microbiota composition induced by psychotropics, which has been demonstrated in animal studies 57. This hypothesis is, however, not supported by our sensitivity analysis showing that also psychotropic‐free rSA displays low zonulin and high I‐FABP. Moreover, stress may be a common upstream cause of increased gut permeability, systemic inflammation, and suicidal behavior. Animal and human studies have shown that both early‐life and acute stress may influence gut permeability 14. The gut microbiotia may be a mediator of the well‐established link between stress, hypothalamic–pituitary–adrenal axis activity, and the immune system 58—biological processes also thought to be involved in suicidal behavior 32, 59.
We did not find any significant between‐group differences in sCD14 levels. sCD14 is considered a non‐specific monocyte activation marker 26, not necessarily indicative of increased gut permeability, which could explain why this marker did not show similar alterations as zonulin or I‐FABP.
The current study comes with some limitations including a relatively small sample size. Thus, future studies with larger sample sizes could yield refined methods to possibly identify those with MDD and leaky gut‐induced low‐grade inflammation. Also, since this was a cross‐sectional study based on a single time‐point blood and behavioral measurements, we cannot infer any causal relationship between gut permeability markers and psychiatric symptoms. Even though we adjusted for several potential confounders, there is a possibility that yet other, unmeasured variables, such as smoking, alcohol intake, and dietary habits, may have had an impact on the results. Moreover, the diagnostic heterogeneity within the rSA group complicates the interpretation of our results. Although we did not find evidence that any of the biomarkers differed significantly between the main diagnostic categories within this group, these subgroup analyses may have been underpowered and should therefore be interpreted with some caution. Finally, while there are a large number of potential biomarkers of gut permeability (including fecal markers and lactulose/mannitol ratio tests), we decided to quantify zonulin and I‐FABP in blood plasma. The rationale for assaying these specific gut permeability biomarkers was i) plasma samples were available in our cohort, and ii) zonulin and I‐FABP are two commonly used plasma biomarkers for gut permeability and they correlate with other indicators of increased gut permeability such as lactulose/mannitol ratio and morphologic epithelial intestinal damage 60, 61.
To conclude, we here show alterations in gut permeability markers in patients with a history of suicidal behavior. Although preliminary and in need of replication, our findings suggest that the ‘leaky gut hypothesis’ may help explain part of the immune activation frequently reported in individuals with suicidal ideation or behavior.
Conflict of interest
The authors declare no conflict of interest.
Acknowledgements
Daniel Lindqvist was supported by the Swedish Research Council (Registration Number 2015‐00387), Marie Sklodowska Curie Actions, Cofund (Project INCA 600398), the Swedish Society of Medicine, the Söderström‐Königska Foundation, the Sjöbring Foundation, OM Persson Foundation, and the province of Scania (Sweden) state grants (ALF).
Ohlsson L, Gustafsson A, Lavant E, Suneson K, Brundin L, Westrin Å, Ljunggren L Lindqvist D. Leaky gut biomarkers in depression and suicidal behavior.
References
- 1. Dowlati Y, Herrmann N, Swardfager W et al. A meta‐analysis of cytokines in major depression. Biol Psychiatry 2010;67:446–457. [DOI] [PubMed] [Google Scholar]
- 2. Schiepers OJ, Wichers MC, Maes M. Cytokines and major depression. Prog Neuropsychopharmacol Biol Psychiatry 2005;29:201–217. [DOI] [PubMed] [Google Scholar]
- 3. Zunszain PA, Hepgul N, Pariante CM. Inflammation and depression. Curr Top Behav Neurosci. 2013;14:135–151. [DOI] [PubMed] [Google Scholar]
- 4. Brundin L, Erhardt S, Bryleva EY, Achtyes ED, Postolache TT. The role of inflammation in suicidal behaviour. Acta Psychiatr Scand 2015;132:192–203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Holmes SE, Hinz R, Conen S et al. Elevated translocator protein in anterior cingulate in major depression and a role for inflammation in suicidal thinking: a positron emission tomography study. Biol Psychiatry 2018;83:61–69. [DOI] [PubMed] [Google Scholar]
- 6. Chang CC, Tzeng NS, Kao YC, Yeh CB, Chang HA. The relationships of current suicidal ideation with inflammatory markers and heart rate variability in unmedicated patients with major depressive disorder. Psychiatry Res 2017;258:449–456. [DOI] [PubMed] [Google Scholar]
- 7. Janelidze S, Mattei D, Westrin A, Traskman‐Bendz L, Brundin L. Cytokine levels in the blood may distinguish suicide attempters from depressed patients. Brain Behav Immun 2011;25:335–339. [DOI] [PubMed] [Google Scholar]
- 8. Steiner J, Bielau H, Brisch R et al. Immunological aspects in the neurobiology of suicide: elevated microglial density in schizophrenia and depression is associated with suicide. J Psychiatr Res 2008;42:151–157. [DOI] [PubMed] [Google Scholar]
- 9. Isung J, Aeinehband S, Mobarrez F et al. High interleukin‐6 and impulsivity: determining the role of endophenotypes in attempted suicide. Transl Psychiat 2014;4:e470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Sublette ME, Galfalvy HC, Fuchs D et al. Plasma kynurenine levels are elevated in suicide attempters with major depressive disorder. Brain Behav Immun 2011;25:1272–1278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Carabotti M, Scirocco A, Maselli MA, Severi C. The gut‐brain axis: interactions between enteric microbiota, central and enteric nervous systems. Ann Gastroenterol 2015;28:203–209. [PMC free article] [PubMed] [Google Scholar]
- 12. Fadgyas‐Stanculete M, Buga AM, Popa‐Wagner A, Dumitrascu DL. The relationship between irritable bowel syndrome and psychiatric disorders: from molecular changes to clinical manifestations. J Mol Psychiatry 2014;2:4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Karakula‐Juchnowicz H, Szachta P, Opolska A et al. The role of IgG hypersensitivity in the pathogenesis and therapy of depressive disorders. Nutr Neurosci 2017;20:110–118. [DOI] [PubMed] [Google Scholar]
- 14. Kelly JR, Kennedy PJ, Cryan JF, Dinan TG, Clarke G, Hyland NP. Breaking down the barriers: the gut microbiome, intestinal permeability and stress‐related psychiatric disorders. Front Cell Neurosci 2015;9:392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Sherwin E, Dinan TG, Cryan JF. Recent developments in understanding the role of the gut microbiota in brain health and disease. Ann N Y Acad Sci 2018;1420:5–25. [DOI] [PubMed] [Google Scholar]
- 16. Evrensel A, Ceylan ME. The gut‐brain axis: the missing link in depression. Clin Psychopharmacol Neurosci 2015;13:239–244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Mayer EA. Gut feelings: the emerging biology of gut‐brain communication. Nat Rev Neurosci 2011;12:453–466. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Jayashree B, Bibin YS, Prabhu D et al. Increased circulatory levels of lipopolysaccharide (LPS) and zonulin signify novel biomarkers of proinflammation in patients with type 2 diabetes. Mol Cell Biochem 2014;388:203–210. [DOI] [PubMed] [Google Scholar]
- 19. Maes M, Kubera M, Leunis JC. The gut‐brain barrier in major depression: intestinal mucosal dysfunction with an increased translocation of LPS from gram negative enterobacteria (leaky gut) plays a role in the inflammatory pathophysiology of depression. Neuro Endocrinol Lett 2008;29:117–124. [PubMed] [Google Scholar]
- 20. Fasano A, Not T, Wang W et al. Zonulin, a newly discovered modulator of intestinal permeability, and its expression in coeliac disease. Lancet 2000;355:1518–1519. [DOI] [PubMed] [Google Scholar]
- 21. Fasano A. Zonulin and its regulation of intestinal barrier function: the biological door to inflammation, autoimmunity, and cancer. Physiol Rev 2011;91:151–175. [DOI] [PubMed] [Google Scholar]
- 22. Pelsers MM, Namiot Z, Kisielewski W et al. Intestinal‐type and liver‐type fatty acid‐binding protein in the intestine. Tissue distribution and clinical utility. Clin Biochem 2003;36:529–535. [DOI] [PubMed] [Google Scholar]
- 23. Piton G, Belin N, Barrot L et al. Enterocyte damage: a piece in the puzzle of post‐cardiac arrest syndrome. Shock 2015;44:438–444. [DOI] [PubMed] [Google Scholar]
- 24. Adriaanse MP, Tack GJ, Passos VL et al. Serum I‐FABP as marker for enterocyte damage in coeliac disease and its relation to villous atrophy and circulating autoantibodies. Aliment Pharmacol Ther 2013;37:482–490. [DOI] [PubMed] [Google Scholar]
- 25. Hunt PW, Sinclair E, Rodriguez B et al. Gut epithelial barrier dysfunction and innate immune activation predict mortality in treated HIV infection. J Infect Dis 2014;210:1228–1238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Shive CL, Jiang W, Anthony DD, Lederman MM. Soluble CD14 is a nonspecific marker of monocyte activation. AIDS 2015;29:1263–1265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Landmann R, Knopf HP, Link S, Sansano S, Schumann R, Zimmerli W. Human monocyte CD14 is upregulated by lipopolysaccharide. Infect Immun 1996;64:1762–1769. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Brenchley JM, Price DA, Schacker TW et al. Microbial translocation is a cause of systemic immune activation in chronic HIV infection. Nat Med 2006;12:1365–1371. [DOI] [PubMed] [Google Scholar]
- 29. Sandler NG, Koh C, Roque A et al. Host response to translocated microbial products predicts outcomes of patients with HBV or HCV infection. Gastroenterology 2011;141:1220–123030 e1–3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Heyman M, Abed J, Lebreton C, Cerf‐Bensussan N. Intestinal permeability in coeliac disease: insight into mechanisms and relevance to pathogenesis. Gut 2012;61:1355–1364. [DOI] [PubMed] [Google Scholar]
- 31. Hoffmanova I, Sanchez D, Habova V, Andel M, Tuckova L, Tlaskalova‐Hogenova H. Serological markers of enterocyte damage and apoptosis in patients with celiac disease, autoimmune diabetes mellitus and diabetes mellitus type 2. Physiol Res 2015;64:537–546. [DOI] [PubMed] [Google Scholar]
- 32. Lindqvist D, Janelidze S, Hagell P et al. Interleukin‐6 is elevated in the cerebrospinal fluid of suicide attempters and related to symptom severity. Biol Psychiat 2009;66:287–292. [DOI] [PubMed] [Google Scholar]
- 33. Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry 1979;134:382–389. [DOI] [PubMed] [Google Scholar]
- 34. Nimeus A, Hjalmarsson Stahlfors F, Sunnqvist C, Stanley B, Traskman‐Bendz L. Evaluation of a modified interview version and of a self‐rating version of the Suicide Assessment Scale. Eur Psychiatry 2006;21:471–477. [DOI] [PubMed] [Google Scholar]
- 35. BLOM G. Statistical estimates and transformed beta‐variables. New York: J. Wiley & sons; Stockholm: Almqvist & Wiksell, 1958. [Google Scholar]
- 36. Stevens BR, Goel R, Seungbum K et al. Increased human intestinal barrier permeability plasma biomarkers zonulin and FABP2 correlated with plasma LPS and altered gut microbiome in anxiety or depression. Gut 2018;67:1557–1558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Abautret‐Daly A, Dempsey E, Parra‐Blanco A, Medina C, Harkin A. Gut‐brain actions underlying comorbid anxiety and depression associated with inflammatory bowel disease. Acta Neuropsychiatr 2017;08:1–22. [DOI] [PubMed] [Google Scholar]
- 38. Collins SM, Surette M, Bercik P. The interplay between the intestinal microbiota and the brain. Nat Rev Microbiol 2012;10:735–742. [DOI] [PubMed] [Google Scholar]
- 39. Lowry CA, Smith DG, Siebler PH et al. The microbiota, immunoregulation, and mental health: implications for public health. Curr Environ Health Rep 2016;3:270–286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Kelly JR, Borre Y, O'Brien C et al. Transferring the blues: depression‐associated gut microbiota induces neurobehavioural changes in the rat. J Psychiatr Res 2016;82:109–118. [DOI] [PubMed] [Google Scholar]
- 41. Akkasheh G, Kashani‐Poor Z, Tajabadi‐Ebrahimi M et al. Clinical and metabolic response to probiotic administration in patients with major depressive disorder: a randomized, double‐blind, placebo‐controlled trial. Nutrition 2016;32:315–320. [DOI] [PubMed] [Google Scholar]
- 42. Pinto‐Sanchez MI, Hall GB, Ghajar K et al. Probiotic Bifidobacterium longum NCC3001 reduces depression scores and alters brain activity: a pilot study in patients with irritable bowel syndrome. Gastroenterology 2017;153:448–459 e8. [DOI] [PubMed] [Google Scholar]
- 43. Romijn AR, Rucklidge JJ, Kuijer RG, Frampton C. A double‐blind, randomized, placebo‐controlled trial of Lactobacillus helveticus and Bifidobacterium longum for the symptoms of depression. Aust N Z J Psychiatry 2017;51:810–821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Qin J, Li Y, Cai Z et al. A metagenome‐wide association study of gut microbiota in type 2 diabetes. Nature 2012;490:55–60. [DOI] [PubMed] [Google Scholar]
- 45. Larsen N, Vogensen FK, van Den Berg FW et al. Gut microbiota in human adults with type 2 diabetes differs from non‐diabetic adults. PLoS ONE 2010;5:e9085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Ciccia F, Guggino G, Rizzo A et al. Dysbiosis and zonulin upregulation alter gut epithelial and vascular barriers in patients with ankylosing spondylitis. Ann Rheum Dis 2017;76:1123–1132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Horta‐Baas G, Romero‐Figueroa MDS, Montiel‐Jarquin AJ , Pizano‐Zarate ML, Garcia‐Mena J, Ramirez‐Duran N. Intestinal dysbiosis and rheumatoid arthritis: a link between gut microbiota and the pathogenesis of rheumatoid arthritis. J Immunol Res 2017;2017:4835189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Vujkovic‐Cvijin I, Dunham RM, Iwai S et al. Dysbiosis of the gut microbiota is associated with HIV disease progression and tryptophan catabolism. Sci Transl Med 2013;5:193ra91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Roy T, Lloyd CE. Epidemiology of depression and diabetes: a systematic review. J Affect Disord 2012;142 Suppl:S8–S21. [DOI] [PubMed] [Google Scholar]
- 50. Morrison MF, Petitto JM, ten Have T et al. Depressive and anxiety disorders in women with HIV infection. Am J Psychiatry 2002;159:789–796. [DOI] [PubMed] [Google Scholar]
- 51. Meesters JJ, Bremander A, Bergman S, Petersson IF, Turkiewicz A, Englund M. The risk for depression in patients with ankylosing spondylitis: a population‐based cohort study. Arthritis Res Ther 2014;16:418. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Margaretten M, Julian L, Katz P, Yelin E. Depression in patients with rheumatoid arthritis: description, causes and mechanisms. Int J Clin Rheumtol 2011;6:617–623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Niculescu AB, Levey DF, Phalen PL et al. Understanding and predicting suicidality using a combined genomic and clinical risk assessment approach. Mol Psychiatry 2015;20:1266–1285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Marchetti G, Tincati C, Silvestri G. Microbial translocation in the pathogenesis of HIV infection and AIDS. Clin Microbiol Rev 2013;26:2–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Buhner S, Buning C, Genschel J et al. Genetic basis for increased intestinal permeability in families with Crohn's disease: role of CARD15 3020insC mutation? Gut 2006;55:342–347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Park S, Lee Y, Lee JH. Association between energy drink intake, sleep, stress, and suicidality in Korean adolescents: energy drink use in isolation or in combination with junk food consumption. Nutr J 2016;15:87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Rogers GB, Keating DJ, Young RL, Wong ML, Licinio J, Wesselingh S. From gut dysbiosis to altered brain function and mental illness: mechanisms and pathways. Mol Psychiatry 2016;21:738–748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. De PG, Collins SM, Bercik P, Verdu EF. The microbiota‐gut‐brain axis in gastrointestinal disorders: stressed bugs, stressed brain or both? J Physiol 2014;592:2989–2997. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Westrin A. Stress system alterations and mood disorders in suicidal patients. A review. Biomed Pharmacother 2000;54:142–145. [DOI] [PubMed] [Google Scholar]
- 60. Duerksen DR, Wilhelm‐Boyles C, Veitch R, Kryszak D, Parry DM. A comparison of antibody testing, permeability testing, and zonulin levels with small‐bowel biopsy in celiac disease patients on a gluten‐free diet. Dig Dis Sci 2010;55:1026–1031. [DOI] [PubMed] [Google Scholar]
- 61. Schellekens DH, Grootjans J, Dello SA et al. Plasma intestinal fatty acid‐binding protein levels correlate with morphologic epithelial intestinal damage in a human translational ischemia‐reperfusion model. J Clin Gastroenterol 2014;48:253–260. [DOI] [PubMed] [Google Scholar]
