Can Diet Alter the Intestinal Barrier Permeability in Healthy People? A Systematic Review
Abstract
:1. Introduction
2. Methods
2.1. Protocol Registration
2.2. Inclusion and Exclusion Criteria
2.3. Search Strategy
2.4. Data Extraction
2.5. Methodological Quality and Risk of Bias
2.6. Best Evidence Synthesis
3. Results
3.1. Search Selection
3.2. Studies and Population Characteristics
3.3. Assessment of the Intestinal Barrier Permeability
3.4. Quality Assessment and Risk of Bias
3.5. Association between Diet and Intestinal Barrier Permeability (IBP)
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Study Design | Authors (Year) | Country | Sample Size | Population |
---|---|---|---|---|
Descriptive cross-sectional | Amarri et al. (2006) [17] | Italy | 22 | Infants |
Kuitunen et al. (1994) [18] | Finland | 20 | Infants | |
Weaver (1988) [19] | England and Gambia | 77 | Infants | |
Prospective intervention study | Bowser et al. (2020) [20] | USA | 13 | Men |
Nier et al., (2019) [15] | Áustria | 12 | Men and women | |
Ott et al. (2018) [21] | Germany | 25 | Men | |
Randomized | Mohammad et al. (2007) [22] | Egypt | 24 | Boys and girls |
Randomized double-blind | Del Piano et al. (2014) [23] | Italy | 25 | Men and women |
Randomized double-blind crossover | Russo et al. (2012) [24] | Italy | 20 | Men |
Ten Bruggencate et al. (2005) [25] | The Netherlands | 34 | Men | |
Randomized double-blind—placebo-controlled | Skouroliakou et al. (2016) [26] | Greece | 23 | Men |
Wilms et al. (2019) [16] | The Netherlands | 100 | Men and women |
Reference of Study | Intestinal Permeability Method of Assessment | Intervention Characteristics (Treatment and Control) | Duration of the Intervention or Observation | Main Results |
---|---|---|---|---|
Amarri et al., (2006) [17] | Eosinophil cationic protein (ECP), feces | - | 5 months of observation | The ECP reduced significantly during the first months of weaning (p = 0.02), although there was an inclination for these parameters to increase at the end of the 9-month period |
Bowser et al., (2020) [20] | Four sugar probes: sucralose, mannitol, sucrose, and lactulose, urine | The volunteers were fed a control diet (55% carbohydrates, 30% fats, and 15% proteins) for two weeks; thereafter, they were fed an isocaloric, high fat diet for 5 days (30% carbohydrates, 55% fats and 15% proteins) | 21 days | The high-fat diet (HFD) had no effect on intestinal permeability (paired t-test, p = 0.05), while fasting endotoxin levels rose twofold (p = 0.04) |
Del Piano et al., (2014) [23] | Lactulose/mannitol test and sucralose concentration, urine | All volunteers were provided with 30 sachets containing either the gelling complex (250 mg of tara gum, 1 billion viable cells of S. thermophilus ST10 and 2.20 g of maltodextrin) or a placebo (2.50 g of maltodextrin) | 30 days | After 30 days, the L/M ratio was significantly reduced in the active group compared with the placebo group (from 0.021 to 0.014, t-test, p = 0.045). The sucralose concentration decreased from 35.8 mg at baseline to 27.9 mg and 29.1 mg after 30 and 45 days, respectively (p = 0.038 and p = 0.026 compared with the placebo) |
Kuitunen et al., (1994) [18] | Human alfa-lactalbumin (ALA) and bovine beta-lactoglobulin (BLG), serum | - | Average 8 months of observation | During the first few months after birth, the intestinal epithelium of infants is permeable to human and foreign protein fragments (Mann– Whitney U test) |
Mohammad et al., (2007) [22] | Lactulose/mannitol test, urine | Volunteers were separated into four groups: (1) Lactobacillus acidophilus (L1a); (2) honey alone; (3) L1a combined with honey; (4) Control—porridge made from wheat flour and sugar cane | 42 days | When compared to the mean baseline value, the supplement significantly decreased urinary recovery of lactulose:mannitol when combined with honey (from 4.29 ± 0.63 to 2.19 ± 0.35, p = 0.01) or not combined with honey (from 4.13 ± 0.59 to 2.61 ± 0.28, p = 0.04) (ANOVA, p < 0.05) |
Nier et al., (2019) [15] | Endotoxin and lipopolysaccharide binding protein (LBP), serum | All volunteers received a standardized diet which complex carbohydrates for four days; thereafter, they received a fructose or glucose diet for three days (25% of total calorie intake) | 7 days | When volunteers consumed the fructose-enriched diet for three days, plasma endotoxin concentrations increased significantly compared to their standardized diet (Wilcoxon test and Friedman test) |
Ott et al., (2018) [21] | Sugar and polyethylene glycol (PEG) absorption tests (performed in parallel); measurement of zonulin in plasma | All volunteers were subjected to an overfeeding program (the inclusion of dairy cream generated a surplus of 1000 Kcal/day) | 7 days | The high-fat diet had no impact on intestinal permeability in any permeability assessment |
Russo et al., (2012) [24] | Lactulose/mannitol test, urine Zonulin, serum, and feces | All subjects underwent a baseline evaluation followed by two 5-week trial periods: inulin-enriched pasta or a control pasta diet (100 g/d = 11.0 and 1.4 g/d of fructans, respectively). | 5-week study periods followed by an 8-week washout period in between and a 2-week run-in phase. | The L/M ratio was significantly distinct between the baseline (0.05; 0.02–0.10), control pasta (0.05; 0.04–0.09) and inulin-enriched pasta (0.03; 0.02–0.05) diets (Friedman test, p = 0.0012). A significant difference was identified between the inulin-enriched pasta group compared to the baseline and control pasta groups (Dunn’s post hoc test, p < 0.05) |
Skouroliakou et al., (2016) [26] | Lactulose/mannitol test, urine | Subjects: flour fortified with barley balance Placebo: flour not fortified with barley balance | 30 days | There was no difference in the L/M ratio between the groups studied. Beginning of the intervention (95% IC; −0.23, 0.81); the end of the intervention (95% IC; −1.69, 1.59) (linear regression) |
Ten Bruggencate et al., (2005) [25] | Chromium EDTA (CrEDTA) excretion, urine | Subjects: ingested lemonade with 20 g of fructooligosaccharides (FOS) Placebo: ingested lemonade with 6 g/day of sucrose This dose was divided into three daily lemonade servings | Two 2-week supplement periods were used, with a 2-week washout period in between. | Student’s t-test. Urinary CrEDTA excretion did not differ between the 2 periods (t-test) |
Weaver, (1988) [19] | Lactulose/mannitol test, urine | - | Follow-up at 6, 12 and 18 weeks of life | At 6 weeks of age, infants fed cows’ milk formula exhibited greater urinary lactulose:mannitol excretion ratios compared to breast-fed infants (Mann–Whitney U-test, p < 0.05). Cow’s milk formulas feeding was linked to higher intestinal permeability than breast feeding in 6-week-old infants |
Wilms et al., (2019) [16] | Five sugar probes: lactulose, mannitol, sucrose, sucralose and erythritol, urine Ussing chamber, tissue samples from the sigmoid colon | Subjects: 15 g/day of sugar beet-derived pectin Placebo: 15 g/day of maltodextrin Both products were supplemented as dry powders, free of unpleasant tastes and odors, in single-dose 7.5 g sachets | Twice daily for 4 weeks | There was no significant difference in urinary sucrose excretion or lactulose:mannitol ratio, both from 0 to 5 h, between 4 weeks of pectin supplementation and placebo in young or elderly adults (linear mixed models and correction for baseline, p ≥ 0.861). The 5–24 h urinary sucralose/erythritol ratio and 0–24 h urinary sucralose/erythritol ratio were not significantly different between four weeks of pectin vs. placebo supplementation in both young adults and the elderly (linear mixed models and correction for baseline values, p ≥ 0.130). TEER in unstressed and stressed biopsies did not significantly change between four weeks of pectin versus placebo supplementation in elderly or young adults (linear nixed models and correction for baseline values, p ≥ 0.226). There was no significant difference in luminal fluorescein concentrations in unstressed and stressed biopsies after four weeks of pectin vs. placebo supplementation in both young adults and the elderly (linear mixed models and correction for baseline values, p ≥ 0.164). |
Exposure or Intervention | Outcome | Number of Studied Groups (Total Participants) | Quality of Evidence | Evidence Summary |
---|---|---|---|---|
Complementary feeding in breast-fed versus formula-fed infants | Alteration of IBP—lactulose/mannitol, ECP, α-lactalbumin, and bovine β-lactoglobulin | 3 (22 + 77 + 20 = 119 infants) | ⊕⊕•• Low due to inconsistency of results, low sample size, and non-representativeness | No association |
Use of probiotics | Alteration of IBP— lactulose/mannitol and sucralose | 2 (24 teenagers/childreen and 25 adults) | ⊕⊕⊕• Moderate due to missing outcome data | Positive association |
Short-term diet high in saturated fats | Alteration of IBP— lactulose/mannitol | 2 (38 adults) | ⊕••• Very low due to bias in randomization process, deviations from intended interventions, and selection of the reported result | No association |
Increased short-term fructose intake | Alteration of IBP— lactulose/mannitol | 1 (12 adults) | ⊕••• Very low due to bias in randomization process, deviations from intended interventions, and measurement of the outcome | Negative association |
Prebiotic intake: fructooligosaccharides (FOS) | Alteration of IBP— excretion of Cr-EDTA | 1 (34 adults) | ⊕⊕⊕• Moderate due to bias in selection of the reported result | No association |
Prebiotic intake: barley beta-glucans | Alteration of IBP— lactulose/mannitol | 1 (23 adults) | ⊕⊕⊕⊕ High-grade | No association |
Prebiotic intake: chicory inulin | Alteration of IBP—lactulose/mannitol | 1 (20 adults) | ⊕⊕⊕• Moderate due to bias in randomization process and selection of the reported result | Positive association |
Prebiotic intake: beet pectin | Alteration of IBP— multi-sugar test | 1 (52 adults and 48 elderly) | ⊕⊕⊕• Moderate due to bias in selection of the reported result | No association |
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Nascimento, D.d.S.M.d.; Mota, A.C.C.C.; Carvalho, M.C.d.C.; Andrade, E.D.d.O.; Oliveira, É.P.S.F.d.; Galvão, L.L.P.; Maciel, B.L.L. Can Diet Alter the Intestinal Barrier Permeability in Healthy People? A Systematic Review. Nutrients 2024, 16, 1871. https://doi.org/10.3390/nu16121871
Nascimento DdSMd, Mota ACCC, Carvalho MCdC, Andrade EDdO, Oliveira ÉPSFd, Galvão LLP, Maciel BLL. Can Diet Alter the Intestinal Barrier Permeability in Healthy People? A Systematic Review. Nutrients. 2024; 16(12):1871. https://doi.org/10.3390/nu16121871
Chicago/Turabian StyleNascimento, Daniele de Souza Marinho do, Ana Carolina Costa Campos Mota, Maria Clara da Cruz Carvalho, Eva Débora de Oliveira Andrade, Érika Paula Silva Freitas de Oliveira, Liana Letícia Paulino Galvão, and Bruna Leal Lima Maciel. 2024. "Can Diet Alter the Intestinal Barrier Permeability in Healthy People? A Systematic Review" Nutrients 16, no. 12: 1871. https://doi.org/10.3390/nu16121871
APA StyleNascimento, D. d. S. M. d., Mota, A. C. C. C., Carvalho, M. C. d. C., Andrade, E. D. d. O., Oliveira, É. P. S. F. d., Galvão, L. L. P., & Maciel, B. L. L. (2024). Can Diet Alter the Intestinal Barrier Permeability in Healthy People? A Systematic Review. Nutrients, 16(12), 1871. https://doi.org/10.3390/nu16121871