Abstract
A recent review proposed a role for multi-functional food or supplement products in priming the gut to support both digestive and systemic health. Accordingly, we designed and eva-luated the effect of a multi-functional gastrointestinal (GI) primer supplement on participant-reported measures for digestive health, quality-of-life (e.g., energy/vitality and general health), and reasons for satiation (e.g., attitudes towards food and eating). In this single-arm clinical trial, 68 participants with mild digestive symptoms consumed the GI primer supplement daily for 14 days. Digestive symptoms were evaluated daily from baseline (Day 0) through Day 14. At baseline and Day 14, participants reported their stool consistency, reasons for satiation, and quality-of-life measures using validated questionnaires. At Day 14, participants reported significant improvements in all (13/13) digestive symptom parameters (p-values < 0.05) and an increase in % of stools with normal consistencies. There were significant improvements (p-values < 0.05) in energy/vitality and general health, and in specific attitudes towards food and eating (e.g., physical satisfaction, planned amount, decreased eating priority, decreased food appeal, and self-consciousness). Results suggest the GI primer supplement promotes digestive health, improves quality of life, and impacts attitudes towards food/eating. This study provides preliminary support for the gut priming hypothesis through which multi-functional digestive products may improve GI health.
Keywords: digestive health, well-being, supplements, prebiotics, postbiotics, digestive enzymes, gut microbiota, fermented foods, gut homeostasis, gut motility, functional food, dietary fiber
1. Introduction
In recent years, gut mucosal health has established itself as a pivotal component of overall human health [1], playing a crucial role in nutrient absorption [2,3], cardiometabolic activities [4,5], immunoregulation [6,7], mental well-being [8,9], and more. Mucosal health can be impacted by many environmental exposures that travel through the digestive tract (e.g., food, xenobiotics, pathogens, etc.) and is maintained through the resilience of the gut microbiome and its interactions with gastrointestinal cell types (e.g., enterocytes, enteric immune cells, etc.). This concept of resilience—or the ability of gut microbiota and local cells to adequately respond to stressors and return the extracellular and intracellular environments/ecosystems to homeostatic conditions [10,11]—is key for maintaining not just local mucosal health but systemic health as well.
There are many mechanisms through which alterations in gut health lead to changes in local digestive health and systemic health. Insults to mucosal health can manifest as alterations in gut microbiota, disrupted digestive and absorptive processes, loss of barrier integrity, inflammatory activities, and the altered production of neurotransmitters and hormones in the gut. The digestive symptoms that may arise due to these changes (bloating, constipation, indigestion, etc.) can significantly affect one’s quality of life [12]. On the other hand, aside from physical discomfort and gastrointestinal pathology, these insults to mucosal health can subsequently lead to changes in systemic health. The gut–brain axis underscores how these alterations can affect mental health, influencing one’s mood, energy levels, cognitive functions, and emotional stability [9]. Inadequate nutrient absorption from an imbalanced digestive system may lead to suboptimal health and contribute to symptoms such as fatigue [12]. Moreover, poor intestinal barrier health and alterations in gut microbiota have been linked to a range of cardiometabolic and inflammatory diseases [1,4,13].
Accordingly, there is an emerging hypothesis that “priming” the gut through exposure to specific dietary components (e.g., phytochemicals, nutrients, prebiotics, probiotics, postbiotics, etc.) may help build microbial and enteric resilience by providing beneficial substrates for microorganisms and host cells to utilize in support of key functions related to gut health (e.g., immunoregulation, nutrient metabolism, intestinal barrier integrity, response to pathogens, etc.) [14], which in turn could mitigate disruptions to mucosal health and subsequent gastrointestinal symptoms, ultimately impacting local and systemic health. Figure 1 illustrates this conceptual model.
To probe the hypothesis, we designed a multi-functional GI primer supplement. The supplement contains a blend of functional ingredients recognized for supporting specific physiological activities that may prime the gut to promote gut microbial and enteric resilience. This blend includes fermented grasses, fruit and vegetable concentrate powders, spices, prebiotics (e.g., fiber, flavonoids), postbiotics, digestive enzymes, and other nutrients. Phytochemicals (e.g., polyphenols, nutrients) present in the plant-based components [15,16], in addition to pre- and postbiotics [17,18], have been linked to regulating immune responses, antioxidant, and cardiometabolic activities, in addition to altering gut microbial activity and promoting enhanced intestinal barrier function. In summary, these functional components may promote not only digestive and mucosal health but systemic health as well.
Thus, the primary objective of this single arm human clinical trial is to gather preliminary data examining the impact of the GI primer supplement on digestive health outcomes (e.g., self-reported GI symptoms and stool consistency). The secondary objectives of this study are to assess changes in participants’ quality of life (e.g., vitality/energy and general health) and reasons for satiety. This study provides key insight into the potential experience consumers will have after taking GI primer supplement over 14 days, in addition to preliminary clinical evidence regarding health outcomes associated with this product and its potential for use as a gut priming agent.
2. Materials and Methods
2.1. Participants
Participants were generally healthy males and females aged 18–65 with a range of mild digestive issues. A total of 70 participants were recruited for this study, all of whom provided their informed consent to participate, with 68 participants (62 females and 6 males) continuing to the end of the study. The average age of participants was 42.57 (SD 10.37) with 18 participants (26.5%) in 18–35 age group, 28 participants (41%) in 36–49 age group, and 22 participants (32.4%) in 50–65 age group. The two dropouts occurred for the following reasons: one participant became unresponsive to follow-up and one participant had a family emergency.
All participants satisfied the following inclusion and exclusion criteria. Inclusion criteria: aged 18–65; history of self-reported mild digestive issues (e.g., occasional bloating, stomach discomfort, occasional constipation, or occasional diarrhea); no known allergies to the ingredients listed in the product; no history of uncontrolled chronic health conditions; and willingness to comply with study requirements. Exclusion criteria: history of pre-existing chronic conditions that would prevent participants from adhering to the protocol, including oncological and psychiatric disorders; history of any severe allergies that require an Epi-Pen; women who were pregnant, breastfeeding, or trying to conceive; history of diagnosed digestive disorders (e.g., Irritable Bowel Syndrome (IBS), Irritable Bowel Disease (IBD), Crohn’s disease) or gastrointestinal tract surgeries; history of invasive medical procedure within the last three weeks or planning to undergo an invasive medical procedure during the study period; history of substance abuse; anyone currently participating or planning to participate in a research study; regular consumption of probiotics, fiber, or prebiotic supplements within 3 weeks of the study; regular intake of medications that may interfere with the study or study product, including laxatives, sedatives, beta-blockers, anti-acids, etc.
2.2. Study Design Overview
This study was designed as a single-arm open-label clinical trial using GI primer supplement powder by Access Business Group International LLC. (Ada, MI, USA) as the intervention. All participants consumed one scoop (about 8.5 g) of the product mixed into 8–10 oz of water every morning, 10–30 min before breakfast, for two weeks (Days 1–14). Due to the virtual nature of this trial, with no in-person screening or study visits, two weeks’ worth of study product was mailed to each participant after enrollment. A placebo was not utilized as it was not feasible to design a true placebo product that would both taste and look indistinguishable from the intervention. All participants were blinded to the sponsor name, brand name, and product name. Outcomes were self-reported by participants at various endpoints from Baseline (Day 0/pre-intervention) to Day 14, using both validated and study-specific questionnaires. The trial was registered at clinicaltrials.gov (NCT06283732).
2.3. Study Product
The GI primer supplement was designed as a multi-functional digestive health product, and the product used in this study is a standardized formula containing the same quantities of specified constituents as the product marketed to consumers. In general, the product contains six functional blends, including 3.15 g of the Prebiotics blend (partially hydrolyzed guar gum, apple fiber, slippery elm bark, and citrus flavonoids); 2.0 g of the Fermented Grasses blend (barley grass, oat grass, alfalfa, and wheatgrass); 17.9 mg of the Postbiotics (10 mg of heat-treated Lactobacillus plantarum L-137 microbial cells and 2.5 billion cells of heat-treated Bifidobacterium longum CECT 7347); 100 mg of the Digestive Enzymes blend, containing protease 4.5 5000 HUT, amylase 2750 DU, lactase 250 ALU from Aspergillus oryzae, bromelain 120,000 PU from Ananas comosus, cellulase 125 CU from Trichoderma longibrachiatum, Papain 125,000 PU from Carica papaya, and lipase 300 FIP from Candida rugosa; 985 mg of Fruit and Vegetable concentrates (kale, amla, apple, artichoke, asparagus, plum, cranberry, goji, and beet); the Spices blend (ginger, fermented turmeric, fermented cinnamon, fermented cayenne, and fermented fennel seed); and select vitamins (0.40 mg thiamine, 0.45 mg riboflavin, 60 mg ascorbic acid/Vitamin C) and 2.75 mg of zinc from zinc gluconate. The total dietary fiber content per daily serving of this product, which is derived from a combination of the aforementioned ingredients, is 4.0 g (~14% DV).
2.4. Outcomes
The primary outcome of digestive health included the severity of gastrointestinal symptoms, assessed by daily diary entries in questionnaire format every day from Baseline to Day 14, and stool consistency measured twice by the Bristol Stool Scale at Baseline and Day 14. Secondary outcomes are as follows: Quality of life, which included measures of vitality/energy and overall general health, assessed by the Short Form 36 survey at Baseline and Day 14; and Satiety, which was assessed by the Reasons Individuals Stop Eating Questionnaire at Baseline and Day 14. Adverse events were reviewed and reported throughout the entire duration of the study.
2.5. Instruments
2.5.1. Daily Diary Entries
The daily diary entries in questionnaire format assessed the severity of a wide range of digestive symptoms (Table S1, Supplementary Materials). These digestive symptoms encompassed gastrointestinal-specific symptoms such as thirst, stomach cramps, rumbling/stomach noise, nausea, indigestion, gas/flatulence, bloating, constipation, hunger, and acid reflux, in additional to extraintestinal symptoms that may be related to digestive disruption such as fluctuation in energy levels, brain fog/difficulty concentrating, and fatigue. Participants were also given space to qualitatively record any additional symptoms/experiences. Participants were asked to rate these symptoms on a scale of 0–3, with 0 = none/no symptoms, 1 = mild symptoms, 2 = moderate symptoms, and 3 = severe symptoms. Definitions corresponding to each category of symptom severity were provided to participants on the questionnaire (Table S1, Supplementary Materials). Although the symptoms recorded are a combination of gastrointestinal-specific and extraintestinal symptoms, for the purposes of this study, they were all referred to as digestive symptoms.
2.5.2. Bristol Stool Scale
The Bristol Stool Scale (BSS; [19]) is a validated diagnostic scale assessing stool consistency. The BSS asks participants to classify their stool into one of seven categories using a visual aid: Types 1 and 2 are hard stools, respectively; Types 3 and 4 are harder and softer normal stools, respectively; Type 5 is normal with a tendency for soft stools; Types 6 and 7 are loose stools, respectively. For this study, we calculated the total number and percentage of participants who reported each category at Baseline and Day 14, in addition to the change in percentage of participants who reported each category between the two time points (i.e., percent change).
2.5.3. Short Form-36
We used two of the quality-of-life subscales of the Short Form-36 (SF-36; [20]): the vitality sub-scale (i.e., energy) and the general health sub-scale. The vitality scale contains four questions related to levels of energy and fatigue, each scored on a 6-point Likert scale from 1 = “All the time” to 6 = “None of the time”. The general health subscale contains 5 questions related to participants’ perception of their overall health, each scored on a 5-point Likert scale. The first question contains a range of responses from 1 = “Excellent” to 5 = “Poor”. The remaining four questions ask participants to rate statements related to health and sickness from 1 = “Definitely true” to 5 = “Definitely false”. Scores for each subscale were calculated according to the scoring instructions in SF-36 manual and interpretation guide [21] and then normalized by converting scores to 0–100 values based on the total highest possible score as 100% and the worst possible score as 0%.
2.5.4. Reasons Individuals Stop Eating Questionnaire
The Reasons Individuals Stop Eating Questionnaire (RISE-Q-15; [22,23]) is a validated questionnaire that measures different attitudes towards food and eating as reasons for satiation. Within the RISE-Q-15 there are 5 (five) constructs: decreased food appeal, physical satisfaction, planned amount, self-consciousness, and decreased priority of eating. The subscales associated with each construct are composed of three questions each for a total of 15 questions. Each question provides a statement and asks participants to rate how often each statement is a reason they stop eating during a typical dinner meal at home. Each question is scored on a 7-point Likert scale, with responses ranging from 1 = “Never” to 7 = “Always”, for 21 total possible points per subscale.
2.6. Statistical Analysis
All data analyzed were Likert scale scores for each outcome and associated time points, as described above. Data were checked for normality using the D’Agostino–Pearson test. Digestive symptom scores for each daily check-in were compared to Baseline using the repeated-measure one-way ANOVA or a non-parametric Friedman test, depending on the normality of the dependent variable. Scores for all other outcomes, which were assessed pre- (Baseline or Day 1) and post-intervention (Day 14), were compared using either a paired t-test or Wilcoxon test, based on the normality of the data. Proportions of participants who reported hard, normal, or loose stool consistencies were compared via χ2 test. All statistical analyses were performed in GraphPad Prism 9.0 with a significance threshold set at 0.05.
3. Results
3.1. Digestive Health Outcomes
Out of the 13 digestive symptoms self-reported daily, all 13 significantly improved from Baseline to Day 14 (p-values < 0.05; Table 1). These parameters were severeness of thirst, stomach cramps, rumbling/stomach noise, nausea, indigestion, gas/flatulence, bloating, constipation, fluctuation in energy levels, brain fog/difficulty concentrating, fatigue, hunger, and acid reflux. Most parameters, namely stomach cramps, rumbling/stomach noise, indigestion, gas/flatulence, bloating, constipation, fluctuation in energy levels, brain fog/difficulty concentrating, fatigue, and acid reflux, had already undergone significant changes by Day 2 (Table 1). These improvements were consistent and maintained each day throughout the study, which can be seen in Table A1 (Appendix A). These data indicate that participants’ perceived digestive health improved within 1–2 days and these changes were maintained over time.
Table 1.
Baseline | Day 1 | Day 2 | Day 7 | Day 14 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M (SD) | M (SD) | % Change | p-Value | M (SD) | % Change | p-Value | M (SD) | % Change | p-Value | M (SD) | % Change | p-Value | |
Thirst | 0.971 (0.646) | 0.956 (0.700) | −1.52 | >0.9999 | 0.794(0.724) | −18.2 | >0.9999 | 0.706 (0.648) |
−27.3 | 0.55 | 0.559 (−0.678) |
−42.4 | 0.0093 |
Stomach cramps | 1.132 (0.790) | 0.735 (0.840) | −35.1 | 0.0675 | 0.632 (0.771) |
−44.2 | 0.0049 | 0.456 (0.700) |
−59.7 | <0.0001 | 0.2647 (0.589) |
−76.6 | <0.0001 |
Rumbling or Stomach Noise | 1.309 (0.696) | 0.927 (0.759) | −29.2 | 0.1388 | 0.765 (0.735) |
−41.6 | 0.0041 | 0.471 (0.634) |
−64. | <0.0001 | 0.382 (0.599) |
−70.8 | <0.0001 |
Nausea | 0.721 (0.709) |
0.588 (0.833) | −18.4 | >0.9999 | 0.397 (0.756) |
−44.9 | 0.0617 | 0.338 (0.637) |
−53.1 | 0.0274 | 0.221 (0.514) |
−69.4 | 0.0004 |
Indigestion | 1.250 (0.780) | 0.927 (0.886) | −25.9 | 0.3151 | 0.632 (0.809) |
−49.4 | 0.0001 | 0.485 (0.68) |
−61.2 | <0.0001 | 0.235 (0.522) |
−81.2 | <0.0001 |
Gas or Flatulence |
1.50 (0.635) | 1.118 (0.820) | −25.5 | 0.013 | 1.059 (0.751) |
−29.4 | 0.0011 | 0.868 (0.751) |
−42.2 | <0.0001 | 0.662 (0.745) |
−55.9 | <0.0001 |
Bloating | 1.574 (0.740) | 1.147 (0.885) | −27.1 | 0.1173 | 0.941 (0.862) |
−40.2 | 0.0014 | 0.75 (0.817) |
−52.3 | <0.0001 | 0.574 (0.676) |
−63.6 | <0.0001 |
Constipation | 1.1765 (0.772) | 0.927 (0.919) | −21.3 | 0.5373 | 0.706 (0.793) |
−40.0 | 0.0332 | 0.309 (0.629) |
−73.8 | <0.0001 | 0.353 (0.686) |
−70.0 | <0.0001 |
Fluctuation in Energy Levels | 1.794 (0.783) | 1.177 (0.961) | −34.4 | 0.0018 | 1.044 (0.921) |
−41.8 | <0.0001 | 0.691 (0.778) |
−61.5 | <0.0001 | 0.515 (0.743) |
−71.3 | <0.0001 |
Brain Fog/Difficulty Concentrating | 1.412 (0.918) | 1.015 (0.889) | −28.1 | 0.1824 | 0.838 (0.891) |
−40.6 | 0.0039 | 0.559 (0.761) |
−60.4 | <0.0001 | 0.397 (0.649) |
−71.9 | <0.0001 |
Fatigue | 1.588 (0.868) | 1.265 (0.857) | −20.4 | 0.0187 | 1.059 (0.976) |
−33.3 | <0.0001 | 0.735 (0.785) |
−53.7 | <0.0001 | 0.647 (0.728) |
−59.3 | <0.0001 |
Hunger | 1.015 (0.782) | 0.971 (0.732) | −4.3 | 0.9994 | 0.809 (0.718) |
−20.3 | 0.2748 | 0.515 (0.68) |
−49.3 | 0.0001 | 0.485 (0.635) |
−52.2 | 0.0002 |
Acid Reflux | 0.971 (0.962) | 0.588 (0.868) | −39.4 | 0.646 | 0.3823 (0.6698) |
−60.6 | 0.0065 | 0.338 (0.588) |
−65.2 | 0.002 | 0.235 (0.601) |
−75.8 | <0.0001 |
Table 1 shown are average scores (M) of reported digestive symptoms and their standard deviations (SD), with scores ranging from 0–3 (none to worst). A decrease in the average score corresponds with an improvement in that parameter. Percent (%) change is the change from baseline values. Any p-value bolded and in a grey box reflects a statistically significant change (p < 0.05) at indicated time points compared to baseline.
The changes in stool consistency, which was self-reported via the BSS at Baseline and Day 14 are outlined in Table 2. We observed the percentage of participants experiencing normal stool consistencies (Types 3, 4, and 5) to increase by 41% from Baseline to Day 14, whereas the percentage of participants experiencing soft stools (Types 6 and 7) and hard stools (Types 1 and 2) decreased by 53.3% and 33.3%, respectively. The changes in proportions of hard, normal and soft stool categories were statistically significant with p = 0.027 (χ2 test). This suggests a general improvement in the consistency of bowels after consuming the GI primer supplement for 14 days.
Table 2.
Baseline | Day 14 | ||
---|---|---|---|
BSS Grade | N (%) | N (%) | % Change Days 1–14 |
Grade 1 | 7 (10.3) | 3 (4.4) | −57.1 |
Grade 2 | 14 (20.6) | 11 (16.2) | −21.4 |
Grade 3 | 17 (25.0) | 20 (29.4) | 17.7 |
Grade 4 | 8 (11.8) | 19 (27.9) | 137.5 |
Grade 5 | 9 (13.2) | 9 (13.2) | 0 |
Grade 6 | 12 (17.6) | 4 (5.9) | −66.7 |
Grade 7 | 1 (1.5) | 1 (2.9) | 0 |
Normal (Grades 3, 4, 5) | 34 (50.0) | 48 (70.6) | 41.2 |
Hard stools (Grades 1, 2) | 21 (30.9) | 14 (20.6) | −33.3 |
Soft Stools (Grades 6, 7) | 13 (19.1) | 6 (8.8) | −53.9 |
Table 2 shown are the total number (N) and percentage (%) of participants who reported BSS grade (grades 1–7) corresponding with either types of hard, normal, or loose consistency stool at Baseline and Day 14. Also shown is the change in the percentage of participants who reported each stool grade from Baseline to day 14.
3.2. GI Primer Supplement Improves Self-Reported Vitality/Energy Levels and General Health
Participants self-reported their vitality/energy and general health at Baseline and Day 14. There was a significant increase (p-value < 0.0001) in average vitality/energy scores from Baseline to Day 14 (Table 3), with the average score increasing by 40.39%. There was also a significant increase (p = 0.035) in average general health scores from Baseline to Day 14 (Table 3), with the average score increasing by 8.07%. This indicates an improvement in participants’ perceived energy levels (e.g., more energy and less fatigue) and general health with once-daily use of the product.
Table 3.
Baseline | Day 14 | Paired t Test | |||
---|---|---|---|---|---|
Instrument | Score Range | M (SD) | M (SD) | % Change from Baseline | p-Value |
SF-36 | |||||
Vitality/Energy | 0–100 | 43.25 (15.90) | 60.72 (18.04) | 40.39 | <0.0001 |
General Health | 0–100 | 67.86 (15.49) | 73.32 (14.37) | 8.04 | 0.035 |
RISE-Q-15 | |||||
Decreased Food Appeal | 0–21 | 14.68 (3.65) | 8.43 (3.88) | −42.59 | <0.0001 |
Physical Satisfaction | 0–21 | 12.63 (2.61) | 14.13 (2.48) | 11.87 | 0.0003 |
Planned Amount | 0–21 | 13.24 (3.47) | 15.07 (3.1) | 13.89 | 0.0001 |
Self-Consciousness | 0–21 | 14.01 (3.53) | 9.35 (3.08) | −33.26 | <0.0001 |
Decreased Priority of Eating | 0–21 | 12.25 (2.06) | 15.82 (4.68) | 29.17 | <0.0001 |
Table 3 shown are average scores (M) for SF-36 and RISE-Q-15 subscales and their standard deviations (SD) at Baseline and Day 14. Percent (%) change is the change from baseline values.
3.3. Participant Attitudes towards Food and Eating Changed after Daily Use of GI Primer Supplement
Five factors related to food and eating were assessed as being reasons for satiety. Out of these five, average scores for physical satisfaction (p-value = 0.0003), planned amount (p-value = 0.0001), and decreased priority of eating (p-value < 0.0001) significantly increased from Baseline to Day 14 (Table 3). These increases in scores correspond to participants reporting that they more frequently feel satiated due to eating their planned amount, feeling physically satisfied with the amount they ate, and eating no longer feeling like a priority.
Conversely, average scores for both self-consciousness and decreased food appeal significantly decreased (p-values < 0.0001) from Baseline to Day 14 (Table 3). For self-consciousness, a decrease in scores indicates that participants less frequently experienced self-consciousness around food and eating by Day 14, which could be interpreted as an improvement in that parameter. For decreased food appeal, a decrease in scores indicates that participants less frequently felt as if the food was no longer appealing, pleasant, or of interest by Day 14.
These data indicate that after daily use of the GI primer supplement, participants’ attitudes toward food and eating generally improved, with participants more frequently reporting attitudes related to physical or interoceptive awareness-related satiety as opposed to attitudes related to sensory or motivation-specific satiety, although the actual energy intake was not considered.
No serious adverse events were reported during the study.
4. Discussion
Under the hypothesis that a multi-functional digestive health product could act as a gut-priming agent to support digestive health and these changes could translate to improved systemic health, we investigated participants’ reported changes in functional GI symptoms, stool consistency, energy levels, general health, and attitudes toward food and eating while taking a unique supplement. By Day 14, participants reported improvements in most of the parameters evaluated. Moreover, most digestive symptoms improved by Day 2, a change that was maintained until the study’s end. This supplement was also generally well received by participants, with most reporting that they liked the product.
Functional GI symptoms have been associated with a number of different gut health factors, including but not limited to gut mucosal inflammation [24,25], intestinal barrier dysfunction [26,27,28], disruptions in digestive processes [29,30], and alterations in the gut microbiome [31], the latter of which may also influence the previous factors. Accordingly, there are several interconnected mechanisms potentially underlying changes in digestive symptoms and the other study outcomes in response to the intervention, many of which are likely mediated by activities of the gut microbiome.
4.1. Proposed Mechanisms Underlying Changes in Digestive Outcomes
The GI primer supplement is rich in different sources of soluble and insoluble fiber (e.g., apple fiber, slippery elm bark, fruit and vegetable concentrates, fermented greens, and partially hydrolyzed guar gum). Previously, dietary fiber interventions were effective in reducing a range of functional GI symptoms in IBS [32], in addition to improving bowel movement regularity and reduced constipation-type consistency in adults and children [33,34,35]. Evidence suggests that the consumption of dietary fiber sources promotes an increased abundance of beneficial bacterial taxa (e.g., Bifidobacteria and Lactobacillus) and a reduced abundance of taxa associated with inflammation [36,37,38,39]. Moreover, gut microbial fiber fermentation leads to the production of beneficial bioactive metabolites such as butyrate and other short-chain fatty acids (SCFAs) [35,40,41].
SCFAs are potent signaling molecules that regulate local and systemic inflammatory activities, ultimately dampening immune responses. SCFAs inhibit key inflammatory signaling pathways (e.g., nuclear factor-kB) and histone deacetylase activity to regulate inflammatory gene expression, the transmigration of immune cells into tissues, and the activation and proliferation of T cells [42]. Not only do SCFAs support intestinal barrier integrity by enhancing the anti-inflammatory tone of the intestinal mucosa but SCFA signaling to enterocytes also upregulates the expression of tight junctions and other structural proteins that regulate barrier permeability [43]. Additionally, butyrate is considered a key nutrient determining the metabolic activity and growth of colonocytes. Butyrate is the preferred energy source of colonic epithelial, even when competing substrates such as glucose and glutamine are available [44], and may function as a major protective factor against colonic disorders.
While dietary fiber is a direct substrate for SCFA production, other diet-derived compounds can regulate microbial activities and, thus, SCFA production and intestinal barrier health as well. Postbiotics present in the GI primer supplement, such as heat-treated L. plantarum L-137 [45,46,47,48] and heat-treated B. longum CECT 7347 [49], were also linked to increased abundance of SCFA-producing bacteria and butyrate production and/or reduced intestinal permeability by acting as signaling molecules to microbiota and enterocytes. These proposed anti-inflammatory and intestinal barrier-supporting mechanisms may contribute to our own observations and those of previous studies in which postbiotics such as heat-treated B. longum CECT 7347 reduced severity of IBS-D GI symptoms in adults, including abdominal pain, GI discomfort, diarrhea-like stool consistency, and IBS-related quality of life [50]. Prebiotic citrus flavonoids [51] and zinc [52,53,54] have also displayed similar SCFA-promoting bioactivities.
Additionally, many of the plant-based dietary components found in the GI primer supplement—such as fruits and vegetable concentrates [55], fermented greens [56], and spices [57]—are reservoirs of bioactive phytochemicals and nutrients. Dietary polyphenols, for example, are a diverse group of phytochemicals widely associated with antioxidant activities, in addition to supporting healthy gut microbial community structure and function, bioactive microbial metabolite production (e.g., SCFAs, bile acids, polyphenol metabolites), and intestinal barrier integrity through multiple mechanisms [58]. These mechanisms perhaps underlie observations in which polyphenol-rich interventions improved GI symptoms, such as bowel movement consistency and frequency, abdominal pain and discomfort, bloating, and reflux [59,60,61], and observations in which phytochemical-rich interventions (e.g., ginger) improved digestive function, gastric emptying, gastric motility, and nausea [62,63,64]. Moreover, mounting evidence suggests that the metabolism of polyphenols and other phytochemicals by gut microbiota and the resultant microbial metabolites are largely responsible for their bioactivities [58].
Finally, the use of digestive enzymes (e.g., protease, lipase, amylase, lactase) improved digestion [65,66,67] and GI symptoms, such as flatulence, abdominal distension, bloating, epigastric burning, abdominal pain, and stool frequency and consistency, in different contexts [68,69,70,71,72,73]; in vivo studies also indicate that Aspergillus-derived digestive enzymes, which is the microbial source of the protease present in GI primer supplement, may have prebiotic-like effects and promote the growth of beneficial bacteria such as Lactobacillus and Bifidobacterium [74,75].
In summary, the interaction between the aforementioned dietary components, gut microbiota, and intestinal mucosa may promote microbial and enteric resilience, thus priming the gut to support digestive health to reduce gastrointestinal-specific and associated extraintestinal symptoms.
4.2. Proposed Mechanisms Underlying Changes in Energy/Vitality
In this study, we also observed that two self-reported quality-of-life measures, vitality/energy, and general health, were improved by Day 14. Several vitamins found in the GI primer supplement, such as B1 [76], B2 [77], and C [78,79], play a role in energy production and energy-yielding metabolism, which could potentially impact participants’ perceived energy/fatigue. Indeed, previous clinical investigations into the relationships between these vitamins and patient-reported outcomes also observed improved quality of life, reduced fatigue/increased energy, and the improved well-being of participants in different contexts [80,81,82,83,84,85,86,87]. Several components present in the GI primer supplement may also affect perceived energy levels via enhanced nutrient absorption. Nutrient deficiencies and/or supplementation in nutrient-deficient contexts were associated with self-reported energy and fatigue [88,89,90]. Moreover, nutrient deficiencies and fatigue have been observed in gastrointestinal disorders [91,92,93,94,95]. The use of exogenous digestive enzymes not only improves the digestibility of major macromolecules [65,66,67] but enhances the bioavailability of digestive end products [68,69,70]. Soluble fiber fermentation by gut microbiota can also influence nutrient uptake, as higher levels of butyrate (SCFA) are associated with lower luminal pH values in the intestinal tract, which can increase the uptake and absorption of key electrolytes (e.g., sodium and calcium) and other nutrients/minerals [35,96]. Furthermore, the fermentation of plant ingredients, including the fermented grasses and spices in the GI primer supplement, increases nutrient availability and absorption by breaking down complex cellulose matrices, making any nutrients (fiber, minerals, etc.) or phytochemicals entrapped in these complex matrices more accessible for absorption [56,97]. It is important to note these proposed mechanisms of improved vitality/energy may also be related to the improvement in fatigue reported on the digestive symptom questionnaire.
4.3. Proposed Mechanisms Underlying Changes in Reasons for Satiety
Finally, participants in this study also reported changes in reasons for satiety from Baseline to Day 14, reflecting changes in specific attitudes toward food and eating. Scores for physical satisfaction, eating a planned amount, and decreased priority of eating increased, while those for self-consciousness and decreased food appeal decreased. These findings suggest participants’ reasons for stopping to eat a meal shifted away from constructs related to sensory or motivation-specific satiety and towards constructs more related to physical or interoceptive awareness-related satiety. Total dietary fiber and individual fiber sources (e.g., partially hydrolyzed guar gum and apple fiber) were previously shown to increase satiety and reduce post-meal energy intake [35,98,99], with some specific sources (e.g., partially hydrolyzed guar gum) showing both immediate and long-term effects on satiety, hunger, appetite, and desire to eat [100,101]. Additionally, fiber [35,102,103], grasses (e.g., cereal and barley; [104]), and ginger [105] interventions have attenuated postprandial glucose and/or insulin responses, although evidence on the relationship between subjective satiety and postprandial glucose and/or insulin responses is conflicting; some studies report these factors to be related and/or co-occurring, while some studies report otherwise [106,107,108,109,110]. Moreover, the regulation of postprandial glucose response may also underlie the improvement in brain fog/difficultly concentrating scores, as self-reported in the digestive symptoms questionnaire. Indeed, postprandial glucose response has been linked to cognitive function in various contexts [111].
Another physiological mechanism linking dietary factors to satiety is gut–brain axis communication. The gut–brain axis, or the bi-directional line of communication between the central nervous system and the gut, can impact satiety and appetite and is partly regulated by the gut microbiome [112]. Not only do some microbial metabolites influence the production of hormones and neurotransmitters but some microbial metabolites are neurotransmitters and hormones [113]. Accordingly, maintaining a healthy gut microbiome via interaction with dietary factors is crucial to gut–brain axis signaling. SCFAs that result from microbial fiber fermentation, for example, regulate the production of gut peptides (e.g., peptide YY; PYY and glucagon-like peptide; GLP) that affect neuronal signaling in areas of the brain related to appetite and satiety [114]. Clinical investigations corroborate the role of dietary fiber in PYY and GLP production, noting the increased production of these peptides in response to various fiber interventions [108,110].
4.4. Strengths and Limitations
This study has both strengths and limitations. A notable strength of this study is its contribution to the literature in providing preliminary evidence supporting the use of multi-functional dietary products for priming the gut to promote GI health. Additionally, by using validated participant-reported outcomes, the results of this study directly reflect the participant’s experience with this product, both in terms of perceived health benefits and product experience. Moreover, the use of the RISE-Q-15 in this context provides unique insight into participants’ attitudes towards food and eating that may contribute to their feeling of satiety. While it was not feasible to design a true placebo that would be indistinguishable in look and taste from the study product, we acknowledge that the absence of a comparator group is a limitation of the study design. Another limitation of this study is the 14-day duration, which makes it impossible to assess long-term effects of the supplement and the stability of the observed improvements. Future studies evaluating this product would benefit from alternative trial designs, e.g., cross-over trials, or wait list controls to assess typical variability in the measures used, in addition to an increased duration that is able to assesses the outcomes over a longer period of time. Furthermore, fecal sample collection and gut microbiome analysis would provide more mechanistic insight into the gut priming and microbial resilience hypothesis.
5. Conclusions
Cumulatively, this two-week study provides key insight into participant perceptions of the GI primer supplement on digestive health, energy/vitality, general health, and satiety outcomes during the duration of the study. Results suggest that the daily consumption of the GI primer supplement may be useful in supporting these outcomes, with digestive symptoms beginning to improve within 1–2 days of consumption and lasting through day 14. The GI primer supplement contains a variety of multi-functional food components, each with previously indicated gut mucosal and systemic bioactivities. This study provides preliminary evidence for the use of such multi-functional products in supporting digestive health and alleviating functional GI symptoms over the course of two weeks. The results of this preliminary study just future investigations into the long-term effects of this GI primer supplement, including additional biomarker and mechanistic (e.g., microbiota) outcomes.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/nu16183173/s1. Table S1: Daily dairy template for recording digestive symptoms.
Appendix A
Table A1.
Thirst | Stomach Cramps | Rumbling/Stomach Noise | Nausea | Indigestion | Gas/Flatulence | Bloating | Constipation | Fluctuation in Energy Levels | Brain Fog/Difficulty Concentrating | Fatigue | Hunger | Acid Reflux | ||
Baseline | M | 0.9706 | 1.1324 | 1.3088 | 0.7206 | 1.25 | 1.5 | 1.5735 | 1.1765 | 1.7941 | 1.4118 | 1.5882 | 1.0147 | 0.9706 |
SD | 0.6458 | 0.7899 | 0.6966 | 0.7091 | 0.7799 | 0.6348 | 0.7394 | 0.7715 | 0.7834 | 0.9181 | 0.8679 | 0.7821 | 0.9615 | |
Day 1 | M | 0.9559 | 0.7353 | 0.9265 | 0.5882 | 0.9265 | 1.1176 | 1.1471 | 0.9265 | 1.1765 | 1.0147 | 1.2647 | 0.9706 | 0.5882 |
SD | 0.7004 | 0.8396 | 0.7593 | 0.8328 | 0.8863 | 0.8201 | 0.8854 | 0.9194 | 0.9611 | 0.8893 | 0.8572 | 0.7324 | 0.8679 | |
% Change | −1.5152 | −35.0649 | −29.2135 | −18.3673 | −25.8824 | −25.4902 | −27.1028 | −21.25 | −34.4262 | −28.125 | −20.3703 | −4.3478 | −39.3939 | |
Day 2 | M | 0.7941 | 0.6323 | 0.7647 | 0.3970 | 0.63235 | 1.05882 | 0.94118 | 0.70588 | 1.04412 | 0.83824 | 1.05882 | 0.80882 | 0.3823 |
SD | 0.7239 | 0.7708 | 0.7354 | 0.7558 | 0.80862 | 0.75077 | 0.86183 | 0.79286 | 0.92129 | 0.89126 | 0.97556 | 0.71774 | 0.6698 | |
% Change | −18.1818 | −44.1558 | −41.5730 | −44.8979 | −49.4117 | −29.4117 | −40.1869 | −40 | −41.8032 | −40.625 | −33.3333 | −20.2898 | −60.6060 | |
Day 3 | M | 0.8382 | 0.5735 | 0.75 | 0.3971 | 0.5882 | 1.0735 | 1.0441 | 0.5588 | 0.8529 | 0.7206 | 1.1029 | 0.6912 | 0.4265 |
SD | 0.8944 | 0.8165 | 0.8944 | 0.4082 | 0.4082 | 0.8944 | 0.9832 | 0.8165 | 0.8165 | 0.8367 | 0.8165 | 0.8165 | 0.5164 | |
% Change | −13.6364 | −49.3506 | −42.6966 | −44.8979 | −52.9411 | −28.4313 | −33.6448 | −52.5 | −52.4590 | −48.9583 | −30.5555 | −31.8840 | −56.0606 | |
Day 4 | M | 0.8088 | 0.4412 | 0.5882 | 0.3529 | 0.4853 | 1 | 0.9265 | 0.4412 | 0.8971 | 0.6324 | 0.8382 | 0.7059 | 0.3971 |
SD | 0.6966 | 0.608 | 0.6744 | 0.6173 | 0.68 | 0.7727 | 0.852 | 0.6776 | 0.8311 | 0.7899 | 0.7844 | 0.7543 | 0.7153 | |
% Change | −16.6666 | −61.0389 | −55.0561 | −51.0204 | −61.1764 | −33.3333 | −41.1214 | −62.5 | −50 | −55.2083 | −47.2222 | −30.4347 | −59.0909 | |
Day 5 | M | 0.6912 | 0.5294 | 0.6176 | 0.3088 | 0.4706 | 0.9706 | 0.8382 | 0.4118 | 0.8676 | 0.6765 | 0.8971 | 0.6912 | 0.3529 |
SD | 0.6049 | 0.7012 | 0.713 | 0.6291 | 0.6341 | 0.7324 | 0.8215 | 0.6519 | 0.8962 | 0.8715 | 0.8489 | 0.7966 | 0.5926 | |
% Change | −28.787 | −53.246 | −52.808 | −57.142 | −62.3529 | −35.2941 | −46.7289 | −65 | −51.6393 | −52.0833 | −43.5185 | −31.8840 | −63.6363 | |
Day 6 | M | 0.7059 | 0.5147 | 0.5 | 0.3676 | 0.4412 | 0.8382 | 0.7647 | 0.4706 | 0.8676 | 0.6029 | 0.8824 | 0.6618 | 0.3382 |
SD | 0.6924 | 0.7226 | 0.6579 | 0.6442 | 0.6776 | 0.6604 | 0.7354 | 0.6572 | 0.7899 | 0.7944 | 0.8381 | 0.7453 | 0.6374 | |
% Change | −27.2727 | −54.5454 | −61.7977 | −48.9795 | −64.7058 | −44.1176 | −51.4018 | −60 | −51.6393 | −57.2916 | −44.4444 | −34.7826 | −65.1515 | |
Day 7 | M | 0.7059 | 0.4559 | 0.4706 | 0.3382 | 0.4853 | 0.8676 | 0.75 | 0.3088 | 0.6912 | 0.5588 | 0.7353 | 0.5147 | 0.3382 |
SD | 0.6478 | 0.7004 | 0.6341 | 0.6374 | 0.68 | 0.7512 | 0.8173 | 0.6291 | 0.7776 | 0.7606 | 0.7845 | 0.68 | 0.5887 | |
% Change | −27.2727 | −59.7402 | −64.0449 | −53.0612 | −61.1764 | −42.1568 | −52.3364 | −73.75 | −61.4754 | −60.4166 | −53.7037 | −49.2753 | −65.1515 | |
Day 8 | M | 0.6765 | 0.3382 | 0.3971 | 0.25 | 0.3971 | 0.75 | 0.6765 | 0.4265 | 0.75 | 0.5588 | 0.8088 | 0.5588 | 0.3235 |
SD | 0.6566 | 0.6826 | 0.602 | 0.5 | 0.602 | 0.7202 | 0.7618 | 0.6979 | 0.7988 | 0.7606 | 0.7382 | 0.6776 | 0.5844 | |
% Change | −30.3030 | −70.1298 | −69.6629 | −65.3061 | −68.2352 | −50 | −57.0093 | −63.75 | −58.1967 | −60.4166 | −49.0740 | −44.9275 | −66.6666 | |
Day 9 | M | 0.6324 | 0.4706 | 0.4118 | 0.25 | 0.3529 | 0.6618 | 0.5882 | 0.4118 | 0.7059 | 0.4559 | 0.7941 | 0.6029 | 0.25 |
SD | 0.667 | 0.8006 | 0.6286 | 0.529 | 0.5926 | 0.7042 | 0.6962 | 0.6519 | 0.8115 | 0.7617 | 0.8735 | 0.7153 | 0.5 | |
% Change | −34.8484 | −58.4415 | −68.5393 | −65.3061 | −71.7647 | −55.8823 | −62.6168 | −65 | −60.6557 | −67.70833 | −50 | −40.5797 | −74.2424 | |
Day 10 | M | 0.6618 | 0.3676 | 0.3824 | 0.25 | 0.3382 | 0.7941 | 0.5 | 0.3676 | 0.6176 | 0.5147 | 0.7059 | 0.4853 | 0.25 |
SD | 0.6374 | 0.5961 | 0.6917 | 0.5565 | 0.5628 | 0.7641 | 0.6579 | 0.6206 | 0.8291 | 0.8374 | 0.882 | 0.68 | 0.5 | |
% Change | −31.8181 | −67.5324 | −70.7865 | −65.3061 | −72.9411 | −47.0588 | −68.224 | −68.75 | −65.5737 | −63.5416 | −55.5555 | −52.1739 | −74.2424 | |
Day 11 | M | 0.6324 | 0.3235 | 0.4412 | 0.3529 | 0.3382 | 0.7647 | 0.5588 | 0.3824 | 0.6324 | 0.4118 | 0.6471 | 0.5294 | 0.3088 |
SD | 0.689 | 0.6094 | 0.632 | 0.7074 | 0.6374 | 0.7354 | 0.7408 | 0.6471 | 0.8447 | 0.7578 | 0.8598 | 0.7222 | 0.5797 | |
% Change | −34.8484 | −71.4285 | −66.2921 | −51.0204 | −72.9411 | −49.0196 | −64.4859 | −67.5 | −64.7540 | −70.8333 | −59.2592 | −47.8260 | −68.1818 | |
Day 12 | M | 0.6176 | 0.3970 | 0.3970 | 0.25 | 0.2794 | 0.72058 | 0.6029 | 0.2647 | 0.6470 | 0.5147 | 0.6323 | 0.5 | 0.2205 |
SD | 0.7336 | 0.6722 | 0.6019 | 0.5827 | 0.5421 | 0.7500 | 0.775 | 0.5888 | 0.8060 | 0.7628 | 0.7899 | 0.6802 | 0.4839 | |
% Change | −36.3636 | −64.9350 | −69.6629 | −65.3061 | −77.6470 | −51.9607 | −61.6822 | −77.5 | −63.9344 | −63.5416 | −60.1851 | −50.7246 | −77.2727 | |
Day 13 | M | 0.6470 | 0.3382 | 0.3088 | 0.2352 | 0.2794 | 0.5735 | 0.5588 | 0.3823 | 0.5441 | 0.5 | 0.6470 | 0.5441 | 0.2352 |
SD | 0.6410 | 0.6135 | 0.6048 | 0.5495 | 0.5689 | 0.7189 | 0.6776 | 0.6917 | 0.8363 | 0.8011 | 0.7873 | 0.6563 | 0.5216 | |
% Change | −33.3333 | −70.1298 | −76.4044 | −67.3469 | −77.6470 | −61.7647 | −64.4859 | −67.5 | −69.6721 | −64.5833 | −59.2592 | −46.3768 | −75.7575 | |
Day 14 | M | 0.5588 | 0.2647 | 0.3823 | 0.2205 | 0.2352 | 0.6617 | 0.5735 | 0.3529 | 0.5147 | 0.3970 | 0.6470 | 0.4852 | 0.2352 |
SD | 0.6776 | 0.5888 | 0.5992 | 0.5138 | 0.5216 | 0.7453 | 0.6761 | 0.6859 | 0.7429 | 0.6496 | 0.7282 | 0.6346 | 0.6014 | |
% Change | −42.4242 | −76.6233 | −70.7865 | −69.3875 | −81.1764 | −55.8823 | −63.5514 | −70 | −71.3114 | −71.875 | −59.2592 | −52.1739 | −75.757 |
Table A1 shown are average scores (M) of reported digestive symptoms and their standard deviations (SD), with scores ranging from 0–3 (none to worst). A decrease in the average score corresponds with an improvement in that parameter. Percent (%) change is the change from baseline values.
Author Contributions
Conceptualization, E.N., B.Z., D.P., E.W., N.C. and M.K.; product design and development, E.N., R.K., N.C. and E.W.; methodology, E.N., D.P., M.K., N.M.G. and B.Z.; formal analysis, E.N.; investigation, N.M.G. and E.N.; resources, N.C. and R.B.; writing—original draft preparation, A.A.V.; writing—review and editing, A.A.V., E.N. and R.B.; project administration, E.N. and N.M.G.; All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Argus Institutional Review Board (IRB #: 20392). The approval date was 30 November 2023.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data presented in this study are available within this article.
Conflicts of Interest
Authors Elena Nekrasov, Ryan Bradley, Nikhat Contractor, Nadeesha M. Gunaratne, Marissa Kuehn, Rick Kristin, Deval Patel, Erin Woods and Bo Zhou were employed at Amway Innovation and Science at Access Business Group International, LLC. The sponsor has a conflict of interest in that they may benefit financially from the success of the study. To manage the conflict of interest, an independent third party (Citruslabs) handled all design and administration of participant-focused materials, all participant recruitment and data gathering, and data analysis. Alexandra Adorno Vita is a paid consultant to Access Business Group International LLC, and all other authors are employees of Access Business Group International LLC, which funded this research. The funder had the following involvement in this article: research funding, review of the manuscript, and decision to publish.
Funding Statement
This research was funded by Access Business Group International LLC.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Di Tommaso N., Gasbarrini A., Ponziani F.R. Intestinal Barrier in Human Health and Disease. Int. J. Environ. Res. Public Health. 2021;18:12836. doi: 10.3390/ijerph182312836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Montoro-Huguet M.A., Belloc B., Domínguez-Cajal M. Small and Large Intestine (I): Malabsorption of Nutrients. Nutrients. 2021;13:1254. doi: 10.3390/nu13041254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bielik V., Kolisek M. Bioaccessibility and Bioavailability of Minerals in Relation to a Healthy Gut Microbiome. Int. J. Mol. Sci. 2021;22:6803. doi: 10.3390/ijms22136803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Régnier M., Van Hul M., Knauf C., Cani P.D. Gut Microbiome, Endocrine Control of Gut Barrier Function and Metabolic Diseases. J. Endocrinol. 2021;248:R67–R82. doi: 10.1530/JOE-20-0473. [DOI] [PubMed] [Google Scholar]
- 5.Fan Y., Pedersen O. Gut Microbiota in Human Metabolic Health and Disease. Nat. Rev. Microbiol. 2021;19:55–71. doi: 10.1038/s41579-020-0433-9. [DOI] [PubMed] [Google Scholar]
- 6.Acheson D.W.K., Luccioli S. Mucosal Immune Responses. Best Pract. Res. Clin. Gastroenterol. 2004;18:387–404. doi: 10.1016/j.bpg.2003.11.002. [DOI] [PubMed] [Google Scholar]
- 7.Martel J., Chang S.-H., Ko Y.-F., Hwang T.-L., Young J.D., Ojcius D.M. Gut Barrier Disruption and Chronic Disease. Trends Endocrinol. Metab. 2022;33:247–265. doi: 10.1016/j.tem.2022.01.002. [DOI] [PubMed] [Google Scholar]
- 8.Cryan J.F., Dinan T.G. Mind-Altering Microorganisms: The Impact of the Gut Microbiota on Brain and Behaviour. Nat. Rev. Neurosci. 2012;13:701–712. doi: 10.1038/nrn3346. [DOI] [PubMed] [Google Scholar]
- 9.Clapp M., Aurora N., Herrera L., Bhatia M., Wilen E., Wakefield S. Gut Microbiota’s Effect on Mental Health: The Gut-Brain Axis. Clin. Pract. 2017;7:987. doi: 10.4081/cp.2017.987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Fassarella M., Blaak E.E., Penders J., Nauta A., Smidt H., Zoetendal E.G. Gut Microbiome Stability and Resilience: Elucidating the Response to Perturbations in Order to Modulate Gut Health. Gut. 2021;70:595–605. doi: 10.1136/gutjnl-2020-321747. [DOI] [PubMed] [Google Scholar]
- 11.Sommer F., Anderson J.M., Bharti R., Raes J., Rosenstiel P. The Resilience of the Intestinal Microbiota Influences Health and Disease. Nat. Rev. Microbiol. 2017;15:630–638. doi: 10.1038/nrmicro.2017.58. [DOI] [PubMed] [Google Scholar]
- 12.Baek Y., Jung K., Kim H., Lee S. Association between Fatigue, Pain, Digestive Problems, and Sleep Disturbances and Individuals’ Health-Related Quality of Life: A Nationwide Survey in South Korea. Health Qual. Life Outcomes. 2020;18:159. doi: 10.1186/s12955-020-01408-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.An J., Liu Y., Wang Y., Fan R., Hu X., Zhang F., Yang J., Chen J. The Role of Intestinal Mucosal Barrier in Autoimmune Disease: A Potential Target. Front. Immunol. 2022;13:871713. doi: 10.3389/fimmu.2022.871713. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jacquier E.F., Van De Wouw M., Nekrasov E., Contractor N., Kassis A., Marcu D. Local and Systemic Effects of Bioactive Food Ingredients: Is There a Role for Functional Foods to Prime the Gut for Resilience? Foods. 2024;13:739. doi: 10.3390/foods13050739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zheng J., Wu F., Wang F., Cheng J., Zou H., Li Y., Du J., Kan J. Biomarkers of Micronutrients and Phytonutrients and Their Application in Epidemiological Studies. Nutrients. 2023;15:970. doi: 10.3390/nu15040970. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Mirmohammadali S.N., Rosenkranz S.K. Dietary Phytochemicals, Gut Microbiota Composition, and Health Outcomes in Human and Animal Models. Biosci. Microbiota Food Health. 2023;42:152–171. doi: 10.12938/bmfh.2022-078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Gibson G.R., Hutkins R., Sanders M.E., Prescott S.L., Reimer R.A., Salminen S.J., Scott K., Stanton C., Swanson K.S., Cani P.D., et al. Expert Consensus Document: The International Scientific Association for Probiotics and Prebiotics (ISAPP) Consensus Statement on the Definition and Scope of Prebiotics. Nat. Rev. Gastroenterol. Hepatol. 2017;14:491–502. doi: 10.1038/nrgastro.2017.75. [DOI] [PubMed] [Google Scholar]
- 18.Scott E., De Paepe K., Van De Wiele T. Postbiotics and Their Health Modulatory Biomolecules. Biomolecules. 2022;12:1640. doi: 10.3390/biom12111640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Blake M.R., Raker J.M., Whelan K. Validity and Reliability of the Bristol Stool Form Scale in Healthy Adults and Patients with Diarrhoea-predominant Irritable Bowel Syndrome. Aliment. Pharmacol. Ther. 2016;44:693–703. doi: 10.1111/apt.13746. [DOI] [PubMed] [Google Scholar]
- 20.Brazier J.E., Harper R., Jones N.M., O’Cathain A., Thomas K.J., Usherwood T., Westlake L. Validating the SF-36 Health Survey Questionnaire: New Outcome Measure for Primary Care. BMJ. 1992;305:160–164. doi: 10.1136/bmj.305.6846.160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ware E.W., Jr., Snow K.K., Kasinski M., Gandek B. SF-36 Health Survey: Manual and Interpretation Guide. Health Inst. 1993;6:1. [Google Scholar]
- 22.Chawner L.R., Yu S., Cunningham P.M., Rolls B.J., Hetherington M.M. Construct Validation of the Reasons Individuals Stop Eating Questionnaire (RISE-Q) and the Development of the RISE-Q-15. Appetite. 2022;170:105898. doi: 10.1016/j.appet.2021.105898. [DOI] [PubMed] [Google Scholar]
- 23.Ismail L.C., Osaili T.M., Salem H., Abdelrahim M., Gamaleldin N., Shalfawi N., Nasser R., Daour T.A., Mohamad M.N., Saleh S.T., et al. Reasons Individuals Stop Eating Questionnaire (RISE-Q) among Adults in the United Arab Emirates. PLoS ONE. 2023;18:e0293386. doi: 10.1371/journal.pone.0293386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Singh M., Singh V., Schurman J.V., Colombo J.M., Friesen C.A. The Relationship between Mucosal Inflammatory Cells, Specific Symptoms, and Psychological Functioning in Youth with Irritable Bowel Syndrome. Sci. Rep. 2020;10:11988. doi: 10.1038/s41598-020-68961-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ford A.C., Talley N.J. Mucosal Inflammation as a Potential Etiological Factor in Irritable Bowel Syndrome: A Systematic Review. J. Gastroenterol. 2011;46:421–431. doi: 10.1007/s00535-011-0379-9. [DOI] [PubMed] [Google Scholar]
- 26.Ganda Mall J.-P., Östlund-Lagerström L., Lindqvist C.M., Algilani S., Rasoal D., Repsilber D., Brummer R.J., Keita Å.V., Schoultz I. Are Self-Reported Gastrointestinal Symptoms among Older Adults Associated with Increased Intestinal Permeability and Psychological Distress? BMC Geriatr. 2018;18:75. doi: 10.1186/s12877-018-0767-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gjini B., Melchior I., Euler P., Kreysel C., Kalde S., Krummen B., Kiesslich R., Hemmerlein B., Frieling T. Food Intolerance in Patients with Functional Abdominal Pain: Evaluation through Endoscopic Confocal Laser Endomicroscopy. Endosc. Int. Open. 2023;11:E67–E71. doi: 10.1055/a-1978-6753. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Chang J., Leong R.W., Wasinger V.C., Ip M., Yang M., Phan T.G. Impaired Intestinal Permeability Contributes to Ongoing Bowel Symptoms in Patients with Inflammatory Bowel Disease and Mucosal Healing. Gastroenterology. 2017;153:723–731.e1. doi: 10.1053/j.gastro.2017.05.056. [DOI] [PubMed] [Google Scholar]
- 29.Gibson P.R., Shepherd S.J. Food Choice as a Key Management Strategy for Functional Gastrointestinal Symptoms. Am. J. Gastroenterol. 2012;107:657–666. doi: 10.1038/ajg.2012.49. [DOI] [PubMed] [Google Scholar]
- 30.Zheng X., Chu H., Cong Y., Deng Y., Long Y., Zhu Y., Pohl D., Fried M., Dai N., Fox M. Self-reported Lactose Intolerance in Clinic Patients with Functional Gastrointestinal Symptoms: Prevalence, Risk Factors, and Impact on Food Choices. Neurogastroenterol. Motil. 2015;27:1138–1146. doi: 10.1111/nmo.12602. [DOI] [PubMed] [Google Scholar]
- 31.Wei L., Singh R., Ro S., Ghoshal U.C. Gut Microbiota Dysbiosis in Functional Gastrointestinal Disorders: Underpinning the Symptoms and Pathophysiology. JGH Open. 2021;5:976–987. doi: 10.1002/jgh3.12528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Moayyedi P., Quigley E.M.M., Lacy B.E., Lembo A.J., Saito Y.A., Schiller L.R., Soffer E.E., Spiegel B.M.R., Ford A.C. The Effect of Fiber Supplementation on Irritable Bowel Syndrome: A Systematic Review and Meta-Analysis. Am. J. Gastroenterol. 2014;109:1367–1374. doi: 10.1038/ajg.2014.195. [DOI] [PubMed] [Google Scholar]
- 33.Kapoor M.P., Sugita M., Fukuzawa Y., Okubo T. Impact of Partially Hydrolyzed Guar Gum (PHGG) on Constipation Prevention: A Systematic Review and Meta-Analysis. J. Funct. Foods. 2017;33:52–66. doi: 10.1016/j.jff.2017.03.028. [DOI] [Google Scholar]
- 34.Ustundag G., Kuloglu Z., Kirbas N., Kansu A. Can Partially Hydrolyzed Guar Gum Be an Alternative to Lactulose in Treatment of Childhood Constipation? Turk. J. Gastroenterol. 2010;21:360–364. doi: 10.4318/tjg.2010.0121. [DOI] [PubMed] [Google Scholar]
- 35.James S.L., Muir J.G., Curtis S.L., Gibson P.R. Dietary Fibre: A Roughage Guide. Intern. Med. J. 2003;33:291–296. doi: 10.1046/j.1445-5994.2003.00404.x. [DOI] [PubMed] [Google Scholar]
- 36.Shi F., Zhou F., Zheng X., Lv J., Yu X., Zhou Y., Li Q. Effects of Dietary Fiber Compounds on Characteristic Human Flora and Metabolites Mediated by the Longevity Dietary Pattern Analyzed by In Vitro Fermentation. Nutrients. 2022;14:5037. doi: 10.3390/nu14235037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.So D., Whelan K., Rossi M., Morrison M., Holtmann G., Kelly J.T., Shanahan E.R., Staudacher H.M., Campbell K.L. Dietary Fiber Intervention on Gut Microbiota Composition in Healthy Adults: A Systematic Review and Meta-Analysis. Am. J. Clin. Nutr. 2018;107:965–983. doi: 10.1093/ajcn/nqy041. [DOI] [PubMed] [Google Scholar]
- 38.Abe A., Morishima S., Kapoor M.P., Inoue R., Tsukahara T., Naito Y., Ozeki M. Partially Hydrolyzed Guar Gum Is Associated with Improvement in Gut Health, Sleep, and Motivation among Healthy Subjects. J. Clin. Biochem. Nutr. 2023;72:189–197. doi: 10.3164/jcbn.22-75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Edelman M., Wang Q., Ahnen R., Slavin J. The Dose Response Effects of Partially Hydrolyzed Guar Gum on Gut Microbiome of Healthy Adults. Appl. Microbiol. 2024;4:720–730. doi: 10.3390/applmicrobiol4020049. [DOI] [Google Scholar]
- 40.Koh A., De Vadder F., Kovatcheva-Datchary P., Bäckhed F. From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites. Cell. 2016;165:1332–1345. doi: 10.1016/j.cell.2016.05.041. [DOI] [PubMed] [Google Scholar]
- 41.Pylkas A.M., Juneja L.R., Slavin J.L. Comparison of Different Fibers for In Vitro Production of Short Chain Fatty Acids by Intestinal Microflora. J. Med. Food. 2005;8:113–116. doi: 10.1089/jmf.2005.8.113. [DOI] [PubMed] [Google Scholar]
- 42.Meijer K., De Vos P., Priebe M.G. Butyrate and Other Short-Chain Fatty Acids as Modulators of Immunity: What Relevance for Health? Curr. Opin. Clin. Nutr. Metab. Care. 2010;13:715–721. doi: 10.1097/MCO.0b013e32833eebe5. [DOI] [PubMed] [Google Scholar]
- 43.Parada Venegas D., De La Fuente M.K., Landskron G., González M.J., Quera R., Dijkstra G., Harmsen H.J.M., Faber K.N., Hermoso M.A. Short Chain Fatty Acids (SCFAs)-Mediated Gut Epithelial and Immune Regulation and Its Relevance for Inflammatory Bowel Diseases. Front. Immunol. 2019;10:277. doi: 10.3389/fimmu.2019.00277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Rivière A., Selak M., Lantin D., Leroy F., De Vuyst L. Bifidobacteria and Butyrate-Producing Colon Bacteria: Importance and Strategies for Their Stimulation in the Human Gut. Front. Microbiol. 2016;7:979. doi: 10.3389/fmicb.2016.00979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Nakai H., Murosaki S., Yamamoto Y., Furutani M., Matsuoka R., Hirose Y. Safety and Efficacy of Using Heat-Killed Lactobacillus plantarum L-137: High-Dose and Long-Term Use Effects on Immune-Related Safety and Intestinal Bacterial Flora. J. Immunotoxicol. 2021;18:127–135. doi: 10.1080/1547691X.2021.1979698. [DOI] [PubMed] [Google Scholar]
- 46.Watanabe M., Nakai H., Ohara T., Kawasaki K., Murosaki S., Hirose Y. Beneficial Effect of Heat-Killed Lactiplantibacillus plantarum L-137 on Intestinal Barrier Function of Rat Small Intestinal Epithelial Cells. Sci. Rep. 2024;14:12319. doi: 10.1038/s41598-024-62657-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Yoshitake R., Hirose Y., Murosaki S., Matsuzaki G. Heat-Killed Lactobacillus plantarum L-137 Attenuates Obesity and Associated Metabolic Abnormalities in C57BL/6 J Mice on a High-Fat Diet. Biosci. Microbiota Food Health. 2021;40:84–91. doi: 10.12938/bmfh.2020-040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Khonyoung D., Yamauchi K. Effects of Heat-Killed Lactobacillus plantarum L-137 on Morphology of Intestinal Villi and Epithelial Cells in Broiler Chickens. J. Appl. Anim. Res. 2012;40:140–147. doi: 10.1080/09712119.2011.640208. [DOI] [Google Scholar]
- 49.Martorell P., Alvarez B., Llopis S., Navarro V., Ortiz P., Gonzalez N., Balaguer F., Rojas A., Chenoll E., Ramón D., et al. Heat-Treated Bifidobacterium longum CECT-7347: A Whole-Cell Postbiotic with Antioxidant, Anti-Inflammatory, and Gut-Barrier Protection Properties. Antioxidants. 2021;10:536. doi: 10.3390/antiox10040536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Srivastava S., Basak U., Naghibi M., Vijayakumar V., Parihar R., Patel J., Jadon P., Pandit A., Dargad R., Khanna S., et al. A Randomized Double-Blind, Placebo-Controlled Trial to Evaluate the Safety and Efficacy of Live Bifidobacterium longum CECT 7347 (ES1) and Heat-Treated Bifidobacterium longum CECT 7347 (HT-ES1) in Participants with Diarrhea-Predominant Irritable Bowel Syndrome. Gut Microbes. 2024;16:2338322. doi: 10.1080/19490976.2024.2338322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Maurer Sost M., Stevens Y., Salden B., Troost F., Masclee A., Venema K. Citrus Extract High in Flavonoids Beneficially Alters Intestinal Metabolic Responses in Subjects with Features of Metabolic Syndrome. Foods. 2023;12:3413. doi: 10.3390/foods12183413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Tran C.D., Hawkes J., Graham R.D., Kitchen J.L., Symonds E.L., Davidson G.P., Butler R.N. Zinc-Fortified Oral Rehydration Solution Improved Intestinal Permeability and Small Intestinal Mucosal Recovery. Clin. Pediatr. 2015;54:676–682. doi: 10.1177/0009922814562665. [DOI] [PubMed] [Google Scholar]
- 53.Wan Y., Zhang B. The Impact of Zinc and Zinc Homeostasis on the Intestinal Mucosal Barrier and Intestinal Diseases. Biomolecules. 2022;12:900. doi: 10.3390/biom12070900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Skrovanek S. Zinc and Gastrointestinal Disease. WJGP. 2014;5:496. doi: 10.4291/wjgp.v5.i4.496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Septembre-Malaterre A., Remize F., Poucheret P. Fruits and Vegetables, as a Source of Nutritional Compounds and Phytochemicals: Changes in Bioactive Compounds during Lactic Fermentation. Food Res. Int. 2018;104:86–99. doi: 10.1016/j.foodres.2017.09.031. [DOI] [PubMed] [Google Scholar]
- 56.Knez E., Kadac-Czapska K., Grembecka M. Effect of Fermentation on the Nutritional Quality of the Selected Vegetables and Legumes and Their Health Effects. Life. 2023;13:655. doi: 10.3390/life13030655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Rubió L., Motilva M.-J., Romero M.-P. Recent Advances in Biologically Active Compounds in Herbs and Spices: A Review of the Most Effective Antioxidant and Anti-Inflammatory Active Principles. Crit. Rev. Food Sci. Nutr. 2013;53:943–953. doi: 10.1080/10408398.2011.574802. [DOI] [PubMed] [Google Scholar]
- 58.Cheng H., Zhang D., Wu J., Liu J., Zhou Y., Tan Y., Feng W., Peng C. Interactions between Gut Microbiota and Polyphenols: A Mechanistic and Metabolomic Review. Phytomedicine. 2023;119:154979. doi: 10.1016/j.phymed.2023.154979. [DOI] [PubMed] [Google Scholar]
- 59.Chiarioni G., Popa S.L., Ismaiel A., Pop C., Dumitrascu D.I., Brata V.D., Duse T.A., Incze V., Surdea-Blaga T. The Effect of Polyphenols, Minerals, Fibers, and Fruits on Irritable Bowel Syndrome: A Systematic Review. Nutrients. 2023;15:4070. doi: 10.3390/nu15184070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Roudsari N.M., Lashgari N.-A., Momtaz S., Farzaei M.H., Marques A.M., Abdolghaffari A.H. Natural Polyphenols for the Prevention of Irritable Bowel Syndrome: Molecular Mechanisms and Targets; a Comprehensive Review. DARU J. Pharm. Sci. 2019;27:755–780. doi: 10.1007/s40199-019-00284-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Chiu H.-F., Venkatakrishnan K., Golovinskaia O., Wang C.-K. Gastroprotective Effects of Polyphenols against Various Gastro-Intestinal Disorders: A Mini-Review with Special Focus on Clinical Evidence. Molecules. 2021;26:2090. doi: 10.3390/molecules26072090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Anh N.H., Kim S.J., Long N.P., Min J.E., Yoon Y.C., Lee E.G., Kim M., Kim T.J., Yang Y.Y., Son E.Y., et al. Ginger on Human Health: A Comprehensive Systematic Review of 109 Randomized Controlled Trials. Nutrients. 2020;12:157. doi: 10.3390/nu12010157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Ryan J.L., Heckler C.E., Roscoe J.A., Dakhil S.R., Kirshner J., Flynn P.J., Hickok J.T., Morrow G.R. Ginger (Zingiber officinale) Reduces Acute Chemotherapy-Induced Nausea: A URCC CCOP Study of 576 Patients. Support Care Cancer. 2012;20:1479–1489. doi: 10.1007/s00520-011-1236-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Viljoen E., Visser J., Koen N., Musekiwa A. A Systematic Review and Meta-Analysis of the Effect and Safety of Ginger in the Treatment of Pregnancy-Associated Nausea and Vomiting. Nutr. J. 2014;13:20. doi: 10.1186/1475-2891-13-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Glade M.J., Kendra D., Kaminski M.V. Improvement in Protein Utilization in Nursing-Home Patients on Tube Feeding Supplemented with an Enzyme Product Derived from Aspergillus niger and Bromelain. Nutrition. 2001;17:348–350. doi: 10.1016/S0899-9007(01)00528-7. [DOI] [PubMed] [Google Scholar]
- 66.Mak W.S., Jones C.P., McBride K.E., Fritz E.A.P., Hirsch J., German J.B., Siegel J.B. Acid-Active Proteases to Optimize Dietary Protein Digestibility: A Step towards Sustainable Nutrition. Front. Nutr. 2024;11:1291685. doi: 10.3389/fnut.2024.1291685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Rosado J.L., Solomons N.W., Lisker R., Bourges H. Enzyme Replacement Therapy for Primary Adult Lactase Deficiency. Effective Reduction of Lactose Malabsorption and Milk Intolerance by Direct Addition of Beta-Galactosidase to Milk at Mealtime. Gastroenterology. 1984;87:1072–1082. doi: 10.1016/S0016-5085(84)80067-0. [DOI] [PubMed] [Google Scholar]
- 68.Taylor J.R., Gardner T.B., Waljee A.K., Dimagno M.J., Schoenfeld P.S. Systematic Review: Efficacy and Safety of Pancreatic Enzyme Supplements for Exocrine Pancreatic Insufficiency. Aliment. Pharmacol. Ther. 2010;31:57–72. doi: 10.1111/j.1365-2036.2009.04157.x. [DOI] [PubMed] [Google Scholar]
- 69.Waljee A.K., Dimagno M.J., Wu B.U., Schoenfeld P.S., Conwell D.L. Systematic Review: Pancreatic Enzyme Treatment of Malabsorption Associated with Chronic Pancreatitis. Aliment. Pharmacol. Ther. 2009;29:235–246. doi: 10.1111/j.1365-2036.2008.03885.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.De La Iglesia-García D., Huang W., Szatmary P., Baston-Rey I., Gonzalez-Lopez J., Prada-Ramallal G., Mukherjee R., Nunes Q.M., Domínguez-Muñoz J.E., Sutton R., et al. Efficacy of Pancreatic Enzyme Replacement Therapy in Chronic Pancreatitis: Systematic Review and Meta-Analysis. Gut. 2017;66:1354–1355. doi: 10.1136/gutjnl-2016-312529. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Graham D.Y., Ketwaroo G.A., Money M.E., Opekun A.R. Enzyme Therapy for Functional Bowel Disease-like Post-prandial Distress. J. Dig. Dis. 2018;19:650–656. doi: 10.1111/1751-2980.12655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Money M.E., Camilleri M. Review: Management of Postprandial Diarrhea Syndrome. Am. J. Med. 2012;125:538–544. doi: 10.1016/j.amjmed.2011.11.006. [DOI] [PubMed] [Google Scholar]
- 73.Muss C., Mosgoeller W., Endler T. Papaya Preparation (Caricol®) in Digestive Disorders. Neuro Endocrinol. Lett. 2013;34:38–46. [PubMed] [Google Scholar]
- 74.Yang Y., Kumrungsee T., Kato N., Fukuda S., Kuroda M., Yamaguchi S. Supplemental Aspergillus Lipase and Protease Preparations Display Powerful Bifidogenic Effects and Modulate the Gut Microbiota Community of Rats. Fermentation. 2021;7:294. doi: 10.3390/fermentation7040294. [DOI] [Google Scholar]
- 75.Yang Y., Kumrungsee T., Kato N., Fukuda S., Kuroda M., Yamaguchi S. Aspergillus-Derived Cellulase Preparation Exhibits Prebiotic-like Effects on Gut Microbiota in Rats. Fermentation. 2022;8:71. doi: 10.3390/fermentation8020071. [DOI] [Google Scholar]
- 76.European Food Saftey Authority Scientific Opinion on Substantiation of Health Claims Related to Thiamine and Energy-Yielding Metabolism (ID 21, 24, 28), Cardiac Function (ID 20), Function of the Nervous System (ID 22, 27), Maintenance of Bone (ID 25), Maintenance of Teeth (ID 25), Maintenance of Hair (ID 25), Maintenance of Nails (ID 25), Maintenance of Skin (ID 25) Pursuant to Article 13(1) of Regulation (EC) No 1924/2006. EFSA J. 2009;7:1222. doi: 10.2903/j.efsa.2009.1222. [DOI] [Google Scholar]
- 77.European Food Saftey Authority Scientific Opinion on the Substantiation of Health Claims Related to Riboflavin (Vitamin B2) and Contribution to Normal Energy-Yielding Metabolism (ID 29, 35, 36, 42), Contribution to Normal Metabolism of Iron (ID 30, 37), Maintenance of Normal Skin and Mucous Membranes (ID 31, 33), Contribution to Normal Psychological Functions (ID 32), Maintenance of Normal Bone (ID 33), Maintenance of Normal Teeth (ID 33), Maintenance of Normal Hair (ID 33), Maintenance of Normal Nails (ID 33), Maintenance of Normal Vision (ID 39), Maintenance of Normal Red Blood Cells (ID 40), Reduction of Tiredness and Fatigue (ID 41), Protection of DNA, Proteins and Lipids from Oxidative Damage (ID 207), and Maintenance of the Normal Function of the Nervous System (ID 213) Pursuant to Article 13(1) of Regulation (EC) No 1924/2006. EFSA J. 2010;8:1814. doi: 10.2903/j.efsa.2010.1814. [DOI] [Google Scholar]
- 78.Levine M., Conry-Cantilena C., Wang Y., Welch R.W., Washko P.W., Dhariwal K.R., Park J.B., Lazarev A., Graumlich J.F., King J., et al. Vitamin C Pharmacokinetics in Healthy Volunteers: Evidence for a Recommended Dietary Allowance. Proc. Natl. Acad. Sci. USA. 1996;93:3704–3709. doi: 10.1073/pnas.93.8.3704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.European Food Safety Authority Scientific Opinion on the Substantiation of Health Claims Related to Vitamin C and Reduction of Tiredness and Fatigue (ID 139, 2622), Contribution to Normal Psychological Functions (ID 140), Regeneration of the Reduced Form of Vitamin E (ID 202), Contribution to Normal Energy-Yielding Metabolism (ID 2334, 3196), Maintenance of the Normal Function of the Immune System (ID 4321) and Protection of DNA, Proteins and Lipids from Oxidative Damage (ID 3331) Pursuant to Article 13(1) of Regulation (EC) No 1924/2006. EFSA J. 2010;8:1815. doi: 10.2903/j.efsa.2010.1815. [DOI] [Google Scholar]
- 80.Bager P., Hvas C.L., Hansen M.M., Ueland P., Dahlerup J.F. B-Vitamins, Related Vitamers, and Metabolites in Patients with Quiescent Inflammatory Bowel Disease and Chronic Fatigue Treated with High Dose Oral Thiamine. Mol. Med. 2023;29:143. doi: 10.1186/s10020-023-00741-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Witte K.K.A., Nikitin N.P., Parker A.C., Von Haehling S., Volk H.-D., Anker S.D., Clark A.L., Cleland J.G.F. The Effect of Micronutrient Supplementation on Quality-of-Life and Left Ventricular Function in Elderly Patients with Chronic Heart Failure. Eur. Heart J. 2005;26:2238–2244. doi: 10.1093/eurheartj/ehi442. [DOI] [PubMed] [Google Scholar]
- 82.Wilkinson T., Hanger H., Elmslie J., George P., Sainsbury R. The Response to Treatment of Subclinical Thiamine Deficiency in the Elderly. Am. J. Clin. Nutr. 1997;66:925–928. doi: 10.1093/ajcn/66.4.925. [DOI] [PubMed] [Google Scholar]
- 83.Smidt L.J., Cremin F.M., Grivetti L.E., Clifford A.J. Influence of Thiamin Supplementation on the Health and General Well-Being of an Elderly Irish Population with Marginal Thiamin Deficiency. J. Gerontol. 1991;46:M16–M22. doi: 10.1093/geronj/46.1.M16. [DOI] [PubMed] [Google Scholar]
- 84.Fouad S., Ibrahim G.E., Hussein A.M.S., Ibrahim F.A., El Gendy A. Physicochemical Properties of and Volatile Compounds in Riboflavin Fortified Cloudy Apple Juice; Study of Its Effect on Job Fatigue among Egyptian Construction Workers. Heliyon. 2021;7:e08246. doi: 10.1016/j.heliyon.2021.e08246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Shikh E.V., Lapidus N.I., Tyazhelnikov A.A., Karaulov A.V., Drozdov V.N., Trukhin I.V. Effect of Vitamin-Mineral Complexes on Quality of Life of Patients with Arterial Hypertension. Electron. J. Gen. Med. 2018;15:em41. doi: 10.29333/ejgm/85025. [DOI] [Google Scholar]
- 86.Huck C.J., Johnston C.S., Beezhold B.L., Swan P.D. Vitamin C Status and Perception of Effort during Exercise in Obese Adults Adhering to a Calorie-Reduced Diet. Nutrition. 2013;29:42–45. doi: 10.1016/j.nut.2012.01.021. [DOI] [PubMed] [Google Scholar]
- 87.Conner T., Fletcher B., Haszard J., Pullar J., Spencer E., Mainvil L., Vissers M. KiwiC for Vitality: Results of a Placebo-Controlled Trial Testing the Effects of Kiwifruit or Vitamin C Tablets on Vitality in Adults with Low Vitamin C Levels. Nutrients. 2020;12:2898. doi: 10.3390/nu12092898. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Barnish M., Sheikh M., Scholey A. Nutrient Therapy for the Improvement of Fatigue Symptoms. Nutrients. 2023;15:2154. doi: 10.3390/nu15092154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Azzolino D., Arosio B., Marzetti E., Calvani R., Cesari M. Nutritional Status as a Mediator of Fatigue and Its Underlying Mechanisms in Older People. Nutrients. 2020;12:444. doi: 10.3390/nu12020444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Bjørklund G., Dadar M., Pen J.J., Chirumbolo S., Aaseth J. Chronic Fatigue Syndrome (CFS): Suggestions for a Nutritional Treatment in the Therapeutic Approach. Biomed. Pharmacother. 2019;109:1000–1007. doi: 10.1016/j.biopha.2018.10.076. [DOI] [PubMed] [Google Scholar]
- 91.Kim Y.-J., Lee S.-G., Lee J.-S., Choi Y.-J., Son C.-G. Comparative Characteristics of Fatigue in Irritable Bowel Syndrome and Inflammatory Bowel Disease: A Systematic Review and Meta-Analysis. J. Psychosom. Res. 2024;177:111589. doi: 10.1016/j.jpsychores.2024.111589. [DOI] [PubMed] [Google Scholar]
- 92.Bek S., Teo Y.N., Tan X., Fan K.H.R., Siah K.T.H. Association between Irritable Bowel Syndrome and Micronutrients: A Systematic Review. J. Gastroenterol. Hepatol. 2022;37:1485–1497. doi: 10.1111/jgh.15891. [DOI] [PubMed] [Google Scholar]
- 93.Vagianos K., Bector S., McConnell J., Bernstein C.N. Nutrition Assessment of Patients with Inflammatory Bowel Disease. J. Parenter. Enter. Nutr. 2007;31:311–319. doi: 10.1177/0148607107031004311. [DOI] [PubMed] [Google Scholar]
- 94.Grimstad T., Norheim K.B., Isaksen K., Leitao K., Hetta A.K., Carlsen A., Karlsen L.N., Skoie I.M., Gøransson L., Harboe E., et al. Fatigue in Newly Diagnosed Inflammatory Bowel Disease. ECCOJC. 2015;9:725–730. doi: 10.1093/ecco-jcc/jjv091. [DOI] [PubMed] [Google Scholar]
- 95.Lucendo A.J., Rezende L.C.D. Importance of Nutrition in Inflammatory Bowel Disease. WJG. 2009;15:2081. doi: 10.3748/wjg.15.2081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Slavin J. Fiber and Prebiotics: Mechanisms and Health Benefits. Nutrients. 2013;5:1417–1435. doi: 10.3390/nu5041417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Samtiya M., Aluko R.E., Puniya A.K., Dhewa T. Enhancing Micronutrients Bioavailability through Fermentation of Plant-Based Foods: A Concise Review. Fermentation. 2021;7:63. doi: 10.3390/fermentation7020063. [DOI] [Google Scholar]
- 98.Salleh S.N., Fairus A.A.H., Zahary M.N., Bhaskar Raj N., Mhd Jalil A.M. Unravelling the Effects of Soluble Dietary Fibre Supplementation on Energy Intake and Perceived Satiety in Healthy Adults: Evidence from Systematic Review and Meta-Analysis of Randomised-Controlled Trials. Foods. 2019;8:15. doi: 10.3390/foods8010015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Wanders A.J., Mars M., Borgonjen-van Den Berg K.J., De Graaf C., Feskens E.J.M. Satiety and Energy Intake after Single and Repeated Exposure to Gel-Forming Dietary Fiber: Post-Ingestive Effects. Int. J. Obes. 2014;38:794–800. doi: 10.1038/ijo.2013.176. [DOI] [PubMed] [Google Scholar]
- 100.Lluch A., Hanet-Geisen N., Salah S., Salas-Salvadó J., L’Heureux-Bouron D., Halford J.C.G. Short-Term Appetite-Reducing Effects of a Low-Fat Dairy Product Enriched with Protein and Fibre. Food Qual. Prefer. 2010;21:402–409. doi: 10.1016/j.foodqual.2009.10.001. [DOI] [Google Scholar]
- 101.Rao T.P., Hayakawa M., Minami T., Ishihara N., Kapoor M.P., Ohkubo T., Juneja L.R., Wakabayashi K. Post-Meal Perceivable Satiety and Subsequent Energy Intake with Intake of Partially Hydrolysed Guar Gum. Br. J. Nutr. 2015;113:1489–1498. doi: 10.1017/S0007114515000756. [DOI] [PubMed] [Google Scholar]
- 102.Yao B., Fang H., Xu W., Yan Y., Xu H., Liu Y., Mo M., Zhang H., Zhao Y. Dietary Fiber Intake and Risk of Type 2 Diabetes: A Dose–Response Analysis of Prospective Studies. Eur. J. Epidemiol. 2014;29:79–88. doi: 10.1007/s10654-013-9876-x. [DOI] [PubMed] [Google Scholar]
- 103.Kovacs E., Westerterp-Plantenga M., Saris W., Melanson K., Goossens I., Geurten P., Brouns F. The Effect of Guar Gum Addition to a Semisolid Meal on Appetite Related to Blood Glucose, in Dieting Men. Eur. J. Clin. Nutr. 2002;56:771–778. doi: 10.1038/sj.ejcn.1601407. [DOI] [PubMed] [Google Scholar]
- 104.Takano A., Kamiya T., Tomozawa H., Ueno S., Tsubata M., Ikeguchi M., Takagaki K., Okushima A., Miyata Y., Tamaru S., et al. Insoluble Fiber in Young Barley Leaf Suppresses the Increment of Postprandial Blood Glucose Level by Increasing the Digesta Viscosity. Evid. -Based Complement. Altern. Med. 2013;2013:137871. doi: 10.1155/2013/137871. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Diakos A., Silva M.L., Brito J., Moncada M., De Mesquita M.F., Bernardo M.A. The Effect of Ginger (Zingiber officinale Roscoe) Aqueous Extract on Postprandial Glycemia in Nondiabetic Adults: A Randomized Controlled Trial. Foods. 2023;12:1037. doi: 10.3390/foods12051037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Flint A., Gregersen N.T., Gluud L.L., Møller B.K., Raben A., Tetens I., Verdich C., Astrup A. Associations between Postprandial Insulin and Blood Glucose Responses, Appetite Sensations and Energy Intake in Normal Weight and Overweight Individuals: A Meta-Analysis of Test Meal Studies. Br. J. Nutr. 2007;98:17–25. doi: 10.1017/S000711450768297X. [DOI] [PubMed] [Google Scholar]
- 107.Cai M., Dou B., Pugh J.E., Lett A.M., Frost G.S. The Impact of Starchy Food Structure on Postprandial Glycemic Response and Appetite: A Systematic Review with Meta-Analysis of Randomized Crossover Trials. Am. J. Clin. Nutr. 2021;114:472–487. doi: 10.1093/ajcn/nqab098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Sandberg J.C., Björck I.M.E., Nilsson A.C. Effects of Whole Grain Rye, with and without Resistant Starch Type 2 Supplementation, on Glucose Tolerance, Gut Hormones, Inflammation and Appetite Regulation in an 11–14.5 Hour Perspective; a Randomized Controlled Study in Healthy Subjects. Nutr. J. 2017;16:25. doi: 10.1186/s12937-017-0246-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Kellow N.J., Coughlan M.T., Reid C.M. Metabolic Benefits of Dietary Prebiotics in Human Subjects: A Systematic Review of Randomised Controlled Trials. Br. J. Nutr. 2014;111:1147–1161. doi: 10.1017/S0007114513003607. [DOI] [PubMed] [Google Scholar]
- 110.Guo J., Tan L., Kong L. Impact of Dietary Intake of Resistant Starch on Obesity and Associated Metabolic Profiles in Human: A Systematic Review of the Literature. Crit. Rev. Food Sci. Nutr. 2021;61:889–905. doi: 10.1080/10408398.2020.1747391. [DOI] [PubMed] [Google Scholar]
- 111.Sünram-Lea S.I., Owen L. The Impact of Diet-Based Glycaemic Response and Glucose Regulation on Cognition: Evidence across the Lifespan. Proc. Nutr. Soc. 2017;76:466–477. doi: 10.1017/S0029665117000829. [DOI] [PubMed] [Google Scholar]
- 112.Osadchiy V., Martin C.R., Mayer E.A. The Gut–Brain Axis and the Microbiome: Mechanisms and Clinical Implications. Clin. Gastroenterol. Hepatol. 2019;17:322–332. doi: 10.1016/j.cgh.2018.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Margolis K.G., Cryan J.F., Mayer E.A. The Microbiota-Gut-Brain Axis: From Motility to Mood. Gastroenterology. 2021;160:1486–1501. doi: 10.1053/j.gastro.2020.10.066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Kumar J., Rani K., Datt C. Molecular Link between Dietary Fibre, Gut Microbiota and Health. Mol. Biol. Rep. 2020;47:6229–6237. doi: 10.1007/s11033-020-05611-3. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data presented in this study are available within this article.