| Literature DB >> 35860299 |
Robert J Pawlik1, Liubov Petrakova1, Lisa Brotte2,3, Harald Engler2, Sven Benson2,4, Sigrid Elsenbruch1,3.
Abstract
A role of the immune system in the pathophysiology of pain and hyperalgesia has received growing attention, especially in the context of visceral pain and the gut-brain axis. While acute experimental inflammation can induce visceral hyperalgesia as part of sickness behavior in healthy individuals, it remains unclear if normal plasma levels of circulating pro-inflammatory cytokines contribute to interindividual variability in visceral sensitivity. We herein compiled data from a tightly screened and well-characterized sample of healthy volunteers (N = 98) allowing us to assess associations between visceral sensitivity and gastrointestinal symptoms, and plasma concentrations of three selected pro-inflammatory cytokines (i.e., TNF-α, IL-6, and IL-8), along with cortisol and stress-related psychological variables. For analyses, we compared subgroups created to have distinct pro-inflammatory cytokine profiles, modelling healthy individuals at putative risk or resilience, respectively, for symptoms of the gut-brain axis, and compared them with respect to rectal sensory and pain thresholds and subclinical GI symptoms. Secondly, we computed multiple regression analyses to test if circulating pro-inflammatory markers predict visceral sensitivity in the whole sample. Despite pronounced subgroup differences in pro-inflammatory cytokine and cortisol concentrations, we observed no differences in measures of visceroception. In regression analyses, cytokines did not emerge as predictors. The pain threshold was predicted by emotional state and trait variables, especially state anxiety, together explaining 10.9% of the variance. These negative results do not support the hypothesis that systemic cytokine levels contribute to normal interindividual variability in visceroception in healthy individuals. Trajectories to visceral hyperalgesia as key marker in disorders of gut-brain interactions likely involve complex interactions of biological and psychological factors in keeping with a psychosocial model. Normal variations in systemic cytokines do not appear to constitute a vulnerability factor in otherwise healthy individuals, calling for prospective studies in at risk populations.Entities:
Keywords: anxiety; cytokines; gut-brain axis; inflammation; stress; visceral pain; visceral sensitivity; visceroception
Year: 2022 PMID: 35860299 PMCID: PMC9289472 DOI: 10.3389/fnins.2022.876490
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 5.152
Full sample and subgroup characteristics.
| Full sample (N = 98) | Low-subgroup (N = 24) | High-subgroup (N = 24) |
| |
| Age, years | 26.13 ± 5.10 | 24.92 ± 3.50 | 27.46 ± 7.05 | 0.123 |
| Proportion female,% (N) | 45.0 (48) | 57.1 (12) | 42.9 (9) | 0.383 |
| BMI | 23.23 ± 2.70 | 22.49 ± 2.47 | 23.20 ± 2.74 | 0.386 |
| Plasma cortisol, ng/ml | 141.23 ± 59.22 | 122.76 ± 30.60 | 180.13 ± 82.25 | 0. |
| Plasma TNF-α, pg/ml | 0.92 ± 0.26 | 0.78 ± 0.22 | 1.01 ± 0.25 |
|
| Plasma IL-6, pg/ml | 1.72 ± 1.01 | 0.86 ± 0.36 | 2.49 ± 1.11 |
|
| Plasma IL-8, pg/ml | 4.74 ± 1.46 | 3.52 ± 0.74 | 6.51 ± 1.27 |
|
| Cytokine composite score | 7.40 ± 1.95 | 5.16 ± 0.68 | 10.01 ± 1.37 |
|
Data are presented untransformed as mean ± SD. *Exact p values from independent sample t-tests or Chi-Square tests comparing subgroups in the highest versus lower quartiles, respectively, of the cytokine composite score. For individual dataplots, see
FIGURE 1Individual dataplots for cytokine composite score (A), plasma concentration of TNF-α (B), IL-6 (C), IL-8 (D), and cortisol (E) for the full sample (full, N = 98), lowest quartile (low, N = 24)) and highest quartile (high, N = 24) subgroups based on cytokine composite score. *significant differences between subgroups, for details, see Table 1. Lines within plots indicate mean and SEM.
FIGURE 2Individual dataplots for visceral pain threshold (A), visceral sensory threshold (B) and gastrointestinal complaints (C) for the full sample (Full), the lowest quartile subgroup (Low) and the highest quartile subgroup (High) based on cytokine composite score. No significant subgroup differences were found. Lines within plots indicate mean and SEM.
FIGURE 3Individual dataplots for symptoms of depression (A), symptoms of anxiety (B), chronic stress (C), and state anxiety (D), assessed with validated questionnaires, for the full sample (Full), the lowest quartile subgroup (Low) and the highest quartile subgroup (High) based on cytokine composite score. No significant subgroup differences were found. Lines within plots indicate mean and SEM.
Results of multiple regression analysis (stepwise method).
| Dependent variable | Predictor variable | Unstandardized coefficients | Standardized coefficients |
| ||
| B | Std. error | B | ||||
| Pain threshold | Constant | 40.472 | 4.386 | 9.227 | 0.000 | |
| State anxiety (STAI-S) | -0.383 | 0.120 | -0.335 | -3.192 | 0.002 | |
| Chronic stress (TICS score) | 0.189 | 0.082 | 0.243 | 2.314 | 0.023 | |
| Sensory threshold | Constant | 6.399 | 3.859 | 1.658 | 0.101 | |
| BMI | 0.401 | 0.165 | 0.241 | 2.428 | 0.017 | |
| GI symptoms | Constant | 9.238 | 3.281 | 2.816 | 0.000 | |
| Cortisol (log10) | -3.101 | 1.545 | -0.201 | -2.008 | 0.047 | |