Evidence-Based Complementary and Alternative Medicine

Evidence-Based Complementary and Alternative Medicine / 2019 / Article

Research Article | Open Access

Volume 2019 |Article ID 2710587 | 10 pages | https://doi.org/10.1155/2019/2710587

Long-Term Potable Effects of Alkalescent Mineral Water on Intestinal Microbiota Shift and Physical Conditioning

Academic Editor: Hyunsu Bae
Received20 Apr 2019
Revised03 Sep 2019
Accepted01 Oct 2019
Published19 Nov 2019

Abstract

Background. An alkalescent (pH 8.3) mineral water (AMW) of Hita basin, located in the northwestern part of Kyushu island in Japan, has been recognized for the unique quality of ingredients including highly concentrated silicic acid, sodium, potassium, and hydrogen carbonate. The biological effects of AMW intake were evaluated with a particular focus on its “antiobesity” properties through its modulation of the gut microbiota population. Methods. Two groups of C57BL6/J mice (8-week-old male) were maintained with a standard diet and tap water (control: TWC group) or AMW (AMW group) for 6 months and the following outputs were quantitated: (1) food and water intake, (2) body weight (weekly), (3) body fat measurements by CT scan (monthly), (4) sera biochemical values (TG, ALT, AST, and ALP), and (5) UCP-1 mRNA in fat tissues (terminal point). Two groups of ICR mice (7-week-old male) were maintained with the same method and their feces were collected at the 0, 1st, 3rd, and 6th month at which time the population rates of gut microbiota were quantitated using metagenomic sequencing analysis of 16S-rRNA. Results. Among all antiobesity testing items, even though a weekly dietary consumption was increased (), both ratios of weight gain () and visceral fat accumulation () were significantly reduced in the AMW group. Other criteria including water intake (), the amounts of total (), and subcutaneous fat accumulation () were within the margin of error and UCP-1 gene expression level () in the AMW group was 3.89-fold higher than that of TWC. Among 8 major gut bacteria families, Lactobacillaceae (increased, ) and Clostridiaceae (decreased, ) showed significant shift in the whole population. Conclusion. We observed significantly reduced (1) weight gaining ratio (average −1.86%, up to −3.3%), (2) visceral fat accumulation ratio (average −4.30%, up to −9.1%), and (3) changes in gut microbiota population. All these consequences could support the “health benefit” functionality of AMW.

1. Background

The importance of healthy fluid intake in children for physical and mental performance and health and in the prevention of obesity has been discussed and practiced [14]. Ingredients contained in mineral water for consumption such as magnesium [5, 6], calcium [7], or both [8] and bicarbonate [9] have demonstrated their ameliorating effects on metabolic diseases or health promoting functions through cohort studies in multiple locations worldwide. On the other hand, minerals such as nickel have parallel effects on body fat accumulation [10]. Since water must be consumed daily, the continuous intake of trace ingredients over a prolonged period could have certain effects on our physical conditions like those described above.

An alkalescent mineral water (AMW) produced from a ground-water artery beneath the Hita basin, located in the northwestern part of Kyushu island Japan, has been recognized for its distinct characteristic ingredients through filtration with the multiple volcanogeneous soil layers (at a depth of 750 m). AMW of Hita basin consists of significantly high concentrations of silicic acid (6.1-fold of the world average (WA) and 4.3-fold of the Japanese average (JA) of mineral water), potassium (5.0-fold of the WA and 10.0-fold of the JA), sodium (2.2-fold of the WA and 2.4-fold of the JA), and hydrogen carbonate (1.4-fold of the WA and 2.6-fold of the JA). On the other hand, AMW of Hita basin contains lower amounts of sulfates (3.0-fold lower than the WA and 2.8-fold lower than the JA), magnesium (2.0-fold lower than the WA), and calcium (1.6-fold lower than the WA). The combination of these ingredients contributes to making AMW an alkalescent (pH 8.3) and a soft water (see Supplemental Figure 1).

AMW has demonstrated its bioactive characteristics in vitro, aquaporin water permeability [11], immune cell activation [12], and protective effects on alloxan-induced pancreatic beta-cell damage through scavenging action against reactive oxygen species (ROS) [13]. Another aspect of AMW’s function is to reduce anxiety. 180 consecutive days of AMW intake reduced the biomarkers of anxiety such as urinary 8-hydroxy-2′-deoxyguanosine and blood–urea nitrogen levels compared with the controls [14]. Therefore, these “health conditioning” functions may be attributed to the biologically active ingredients of AMW. In addition, antiobesity effects on mice fed a high-fat diet [15] and reduced blood viscosity in healthy adults [16] by AMW ingestion have also been reported. Shirahata et al. suggested that highly concentrated hydrogen carbonate could contribute in reducing ROS [13], which shares similar machinery with electrolyzed-reduced water (ERW) known to reduce intestinal abnormal fermentation, acid indigestion, chronic diarrhea, constipation, dyspepsia, and antacid [17]. Hydrogen-rich water also improves lipid and glucose metabolism in patients with type 2 diabetes or impaired glucose tolerance [18].

All of this evidence prompted us to test the possible effects of AMW on the population of gut microbiota (GM) and on antiobesity, which has been reported to have a close functional linkage between GM and gastrointestinal inflammation, metabolic diseases, and cognitive functions [19, 20]. Here we report the relevance between long-term ingestion of AMW and specific population control of GM and antiobesity function in mice.

2. Materials and Methods

2.1. Animals

The experiments on mice were conducted as per our previous study [21]. Briefly, eight-week-old male C57BL6/J mice were fed a standard diet and kept under the specific-pathogen-free (SPF) conditions. Each group (N = 10) were fed a normal diet and given either tap water (TWC) for the control group or AMW for the test group to drink exclusively for 6 months (Supplemental Table 1) [22]. The following outputs were quantitated: (1) food and water intake (weekly), (2) body weight (weekly), (3) body fat measurements by CAT scan (monthly), (4) biochemical values of sera (TG, ALT, AST, and ALP), and (5) UCP-1 mRNA expression in fat tissues at the end of the study period (Supplemental Figure 2). To evaluate the relationship between antiobesity and gut microbiota, we employed the additional evaluation method previously described [23]. Three-week-old male ICR mice (Japan SLC, Inc., Shizuoka, Japan) were kept individually at 21 to 24°C and 30 to 60% humidity in a 12-hour light-dark cycle. They were given free access to TWC and standard laboratory chow. After 4-week acclimatization period, they were maintained with TWC or AMW (N = 4 each) in identical conditions as those shown in Supplemental Figure 2 under the standard facility conditions (OPEN, Supplemental Figure 4). During the experimental period, TWC and AMW were exchanged to fresh ones every day, water bottles were autoclaved every week, and cages were disinfected with 70% ethanol every week. Individual body weights were monitored (Supplemental Figure 4) and their feces were collected at the 0, 1st, 3rd, and 6th month (M0, 1M, 3M, and 6M, hereafter) to identify the population rates of gut microbiota by 16S rRNA gene amplification and sequencing as described below. All mice related manipulations were performed with protocols approved by the animal ethics committee at the Oita University (Justified numbers, daily care, treatment, and euthanasia procedures). Statistical significance between AMW and TWC in Figure 1 was calculated by R version 3.5.1 “Feather Spray.”

2.2. Abdominal Computed Tomography (CT)

The visceral fat and subcutaneous fat of each mouse were measured using a RmCT2 3D micro X-ray CT scanner (Rigaku KK, Japan) once every month for six months. To keep the mice sedated before scanning, they were first anesthetized with isoflurane. Images were taken with a 20 μm slice and the scanning duration for every mouse was 17 seconds.

2.3. Quantitation of Biochemical Values in Sera

At the end of the study, levels of triglycerides (TG), alkaline phosphatase (ALP), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) were measured from mouse sera using A DRI-CHEM 4000 (Fuji Film KK, Japan). Results from both groups were compared and analyzed.

2.4. Quantitative Real-Time-Polymerase Chain Reaction (RT-PCR)

The expression levels of uncoupling protein-1 (UCP-1) were quantitated from the total RNA extracted from adipose tissue around the mice testicles using the Light-Cycler R 480 System (Roche, KK, Japan). Primer sequences and Universal Probe Library (UPL) Probe (Roche) number are listed in Supplemental Table 2.

2.5. DNA Extraction from Gut Fecal Samples

Fecal samples were frozen and dried using VD-250R Freeze Dryer (TAITEC Corp., Saitama, Japan) and were mechanically disrupted using Shake Master Neo (Bristol-Myers Squib. Co., Ltd., NY, USA). Total DNA was extracted using MPure Bacterial DNA Extraction Kit (MP Biomedicals Japan. Co., Ltd., Tokyo, Japan). The concentration of the extracted DNA was determined by using a Synergy H1 (Bio Tek, Instruments, Inc., Winooski, VT, USA) and QuantiFluor dsDNA System (Promega Corp., Madison, WI, USA), and samples were stored at −30°C until use.

2.6. 16S rRNA Gene Amplification and Sequencing

The V3-V4 region of bacterial 16S rRNA gene was amplified by using universal primers, 341F (5′-ACACTCTTTCCCTACACGACGCTCTTCCGATCT-CCTACGGGNGGCWGCAG-3′) and 805R (5′-GTGACTGGAGTTCAGACGTGTGCTCTTCCGATCTGACTACHVGGGTATCTAATCC-3′). PCR amplification was performed by using Ex Taq (TaKaRa Inc., Tokyo, Japan) with reaction at 94°C for 2 minutes, followed by 25 cycles at 94°C for 30 seconds, 55°C for 30 seconds, and 72°C for 30 seconds, with final elongation at 72°C for 5 minutes. Amplicons were purified by using Agencourt AMPure XP magnetic beads (Beckman Coulter, Brea, CA, USA). Unique indexes were added by using Nextera XT Index kit (Illumina Inc., San Diego, CA) with an additional 10 cycles of PCR. Following indexed PCR, DNA products were purified with 56.0 μL of Agencourt AMPure XP (Beckman Coulter) and were eluted into 27.5 μL of 10 mM Tris-HCl (pH 8.5), according to the manufacturer’s protocol. The validation of the DNA library was done by a Fragment Analyzer system and dsDNA 915 Reagent kit (Advanced Analytical Technologies, Inc., Ankeny IA, USA). Finally, the pooled 5 pM of DNA library was denatured with 0.2 N of NaOH and mixed with PhiX Control v3 (Illumina Inc., San Diego, CA) at 15% of the final concentration as described in the Illumina procedure. Paired-end sequencing was conducted by next-generation sequencer MiSeq platform (Illumina Inc.) with MiSeq Reagent Kit version 3 (2 × 300 bp Paired-End Reads, Illumina Inc.)

2.7. 16S rRNA Sequence Data Analysis

Demultiplexing and fastq files generation were processed with the MiSeq Reporter Software (Illumina Inc). Reads were trimmed based on both their quality score and read length by Trimmomatic [24], and paired-end reads were generated by using PEAR. These output files were analyzed using downstream computational pipeline of the Quantitative Insights Into Microbial Ecology (QIIME) software package version 1.9.0. Chimeric reads were filtered using UCHIME, and sequences were assigned to operational taxonomic units (OTU) using the QIIME implementation of UCLUST with an OTU cluster defined as a sequence similarity of 97%. Bacterial taxonomy was assigned with the uclust consensus taxonomy assigner against the Greengenes database v13_8 clustered at 97%. OTUs biom table was rarefied by the single_rarefaction.py script to make random subsampling on the basis of a minimum rarefaction depth value at 25,096 sequences/sample. Entire results of the metagenome sequencing analysis will be supplied upon request.

3. Results

3.1. Effects of Alkalescent Mineral Water (AMW) Intake on Body Weight Increase in Mice

To evaluate the antiobesity effects of AMW, we first divided 8-week-old C57BL/6 mice into two groups, the tap water control (TWC) group and test alkalescent mineral water (AMW) group, and they were maintained for 6 months under the specific-pathogen-free (SPF) conditions. Individual diet consumption, water intake, and change in body weight were measured and recorded every week (Supplemental Figure 2).

Results for the average amounts of weekly diet consumption and water intake of both TWC and AMW groups are shown in Figure 2. The average dietary consumption for AMW, 29.9 g (SD: 2.1 g, Figure 2(b)), significantly exceeded (3.8% increase, ) the values from TWC, 28.8 g (SD: 2.5 g, Figure 2(a)). On the other hand, the average water intake for both did not show any difference (, TWC: 36.1 mL (SD: 4.2 mL) and AMW: 36.0 mL (SD: 3.7 mL); Figures 2(c) and 2(d)).

Individual body weights were monitored weekly, the average weight gaining ratio for AMW fell below those of TWC throughout the 6 month’s observation periods (Figure 1(a)), and the average reduction rate was −1.86% (Figure 1(b), ). The detailed values are displayed in Figure 1(c).

3.2. AMW Intake Effects on Abdominal Adipose Tissue Accumulation

Abdominal fat mass determination by CT scan was performed on each mouse once a month for the whole duration of the study (Supplemental Figure 2) to measure the visceral and subcutaneous fat (Figure 3(a)) and revealed a significant decrease of visceral fat in the AMW group (Figure 3(b), ). On the other hand, subcutaneous fat seemed to be accumulated more in the AMW group ().

Upon dissection of the test subjects at the end of the study, adipose tissues from around the mice testicles were harvested during dissection and the total RNA was extracted from them. Gene expression levels of the UCP-1 gene were measured using quantitative RT-PCR. The AMW group mice expressed the UCP-1 gene 3.89 times more () than those of TWC (Supplemental Figure 3). Again, this result suggests a possible machinery in AMW that could induce UCP-1 expression in beige adipocytes.

We also evaluated the biochemical values related to obesity in sera, such as TG, ALP, ALT, or AST at the terminal point but no significant difference was detected (Supplemental Table 3).

3.3. Ingestion of Alkalescent Mineral Water Results in a Shift in Gut Microbiota

Since we suspected that the antiobesity function of AMW was partly the result of gut microbiota fluctuation, we conducted metagenome sequencing analysis of the gut microbiota under the following conditions (Supplemental Figure 4). First, we changed the rearing environment of mice from clean specific-pathogen-free (SPF) to normal facility (OPEN) conditions; second, we followed the mice microbiota evaluation system according to the formally established method that utilizes ICR strain instead of C57BL6 [23]. Two groups of male ICR mice were maintained in the same conditions and given either AMW or TWC. We have monitored the amount of drinking water, diet consumption (data not shown), and body weight every week (Supplemental Figure 5A). Although we did not observe any significant differences in all three antiobesity criteria, body weight increase ratio of the AMW group seemingly went lower than that of control at the last 6 weeks of the experiment (Supplemental Figures 5B and 5C).

Then the feces of both groups were collected at M0, M1, M3, and M6 and the family groups of gut microbiomes were determined at each time point by metagenomic sequencing analysis of 16SrRNA (see Section 2). Of the total 92 bacteria families detected at the beginning of the experiment, the top eight families occupied 85% of the whole population (Figure 4, indicated as M0). After six months of ingesting AMW or TWC, a shift in the population of gut microbiome was found as indicated in the two graphs (Figure 4, indicated as M6, respectively). From these results, the fluctuation of four families’ population in their gut flora was displayed (Figure 5). While almost stable behavior was observed in S24-7 (, Figure 5(a)), an increasing tendency with Lactobacillaceae (, Figure 5(b)) and decreasing tendency with Clostridiaceae (, Figure 5(c)) in the AMW group were observed. Bacteroidaceae population was also decreasing in AMW without statistical significance anyway (, Figure 5(d)). Details of individual population shift (Supplement Table 4) and fluctuation ratios (Supplement Table 5) were summarized.

4. Discussion

AMW of Hita basin has been characterized for containing various minerals (Supplemental Figure 1). Although the amount of trace ingredients or minerals in the drinking water are significantly variable from place to place even in Japan, the average values of major ingredients are summarized in Supplemental Table 1 [22, 25]. Distinctive characteristics of AMW are clearly recognizable: high silicic acid, potassium, hydrogen, and carbonate; and low magnesium, calcium, and sulfate. Since previous reports have already described the significantly different biological outputs after the long-term intake of mineral water to distilled water intake controls [13, 14, 22, 26], we evaluated the biological function of AMW by comparing with TWC but not with distilled water. To date, several studies have shown AMW’s scavenging action against reactive oxygen species (ROS) to protect cells from different stress conditions such as DNA damage and inflammation [13, 14]. The ROS scavenging property of the “active hydrogen” in water has been linked to the suppression of tumor angiogenesis in mice [27].

In our study, the antiobesity effects of AMW with significant increase in diet intake (Figure 2) and suppressed weight gaining ratio (1.86% less than those of TWC) were observed in the AMW group (Figure 1). We also observed significant () reduction of visceral fat (−4.30% average, Figure 3). Although there was no statistical significance, 3.89-fold induction of UCP-1 gene expression in the adipose tissue (Supplemental Figure 3) in AMW group was also observed. UCP-1 is exclusively found in the brown adipose tissues whose primary function has been associated with the production of heat [28, 29]. Increased expression of the UCP-1 gene has also been associated with obesity control and insulin insensitivity in mice [29]. Serum biomarkers for obesity or liver dysfunction indicated no significant differences as well (Supplemental Table 3).

Collected results in this study seemed to reflect the evidence in clinical surveys linking obesity (or metabolic diseases) to gut microbiota fluctuation [30, 31] or an animal model system suggesting a linkage between gut microbiota alteration caused by drinking water and amelioration of type 1 diabetes symptoms [32].

While these collective results strongly implied certain antiobesity effects with AMW, we had some technical concerns on the obtained results as follows: (1) mice were kept in “too clean” SPF environment which does not reflect our daily life and (2) an inbred C57BL6 is known to display a “Th1 oriented” immune response properties [33, 34] and this T-cell-type immune variations is known to affect significantly the microbiota population [34, 35]. Therefore, our next approach was to prove the long-term intake effects of AMW on antiobesity functionality by selecting a closed colony strain ICR and we have already established our own experimental procedures with conventional rearing environment [23]. We collected feces from mice at the beginning (M0) and after 1, 3, and 6 months feeding of either with TWC or AMW (M1, M3, and M6) to analyze the gut microbiota population by metagenomic sequencing analysis of 16S-rRNA (Supplemental Figure 4). S24-7 family which is a bacterium belonging to phylum Bacteroidetes and known to be a predominant member of the gut microbiota in animals [36] did not show any significant difference in its proportion by TWC or AMW intake (Figure 5(a)). Among the eight major populations of gut microbiota detected in this study, statistically significant fluctuations of Lactobacillaceae and Clostridiaceae were observed (Figures 4 and 5). Lactobacillus spp. has been known as one of the probiotic species which ameliorates metabolic disorders in human [37, 38]. With regard to Clostridiaceae, judgement is rather difficult. While the deteriorating effects of Clostridia spp., such as C. difficile on gut microbiota, is evident [39], the beneficial function of C. butyricum has been well established [40]. However, most of Clostridia spp. can be categorized as pathogenic. In this study, we collected stool samples from 4 individual mice kept in a rigidly controlled laboratory environment according to the previous gut microbiota studies [4144]. The symbiotic relationship between human hosts and gut microbiota benefits us in many ways. One of the most important of which is it allows us to extract calories from the indigestible polysaccharides in our diet and, through a pathway regulated by these bacteria, store this harvested energy in our adipocytes [45, 46]. The two most dominant populations of bacteria in the gastrointestinal tract of both humans are from the gram-negative phylum Bacteroidetes and gram-positive phylum Firmicutes which includes the class Clostridia [47]. In both studies on humans and mice, it was found that the ratio of these 2 dominant populations of bacteria in the gut is associated with obesity. Firmicutes was found to be significantly increased in mice and human subjects of the study that were classified as obese and the Bacteroidetes was decreased [4548]. It is therefore premature to attribute our observation of AMW’s antiobesity activity to the proportional fluctuation of the Lactobacillaceae and Clostridiaceae. However, Lactobacillus spp. is known to be one of the major bacterial species used as probiotics and is believed to improve digestive health. In studies on mice administrated with Lactobacillus spp., it was found that it aided in the reduction of body weight and fat accumulation which resulted in a positive outcome on lipid, insulin, and liver toxicity biomarker levels [4951]. The linkage between gut microbiota fluctuation and multiple biological effects including obesity, tumorigenesis, and mental disorder has already been investigated [29, 30, 52, 53]. The exact molecular mechanism of the present study is yet to be elucidated; however, our approach to evaluate the biological effects of water ingestion could be expanded. We are conducting additional experiment programs to gain statistically reliable results. It has been reported that rats which have ingested AMW for 6 months displayed a more active behavior as compared to those that were only given TWC [14]. This may account for the weight gain suppression observed in mice despite the increase in food and water intake, as well as the reduction in fat mass measured.

5. Conclusion

We demonstrated here the long-term potable effects of AMW on the population fluctuation of gut microbiota for the first time. Six-month intake of AMW induced the increase of typical probiotic Lactobacillaceae and the decrease of mostly unfavorable Clostridiaceae. This gut microbiota fluctuation by AMW intake was seemingly linked with a tendency of antiobesity effects. Since we drink water on daily basis, a certain combination of ingredients in drinking water (as demonstrated in this study) is expected to contribute to any adjunctive antiobesity/anti-inflammatory effects in a very moderate manner. Further molecular biological studies are scheduled to examine how AMW affects the gut microbiota population.

Abbreviations

AMW:Alkalescent mineral water
UCP-1:Uncoupled protein-1
CT scan:Computed tomography scan
TWC:Tap water control
ROS:Reactive oxygen species
TG:Triglycerides
ALP:Alkaline phosphatase
ALT:Alanine aminotransferase
AST:Aspartate aminotransferase.

Data Availability

We included all the data to assess the integrity of the whole experiments.

Ethical Approval

Animal experiments were conducted per institutional guidelines that follow international guidelines. The protocols of this animal research study were approved by the TBRI Animal Ethics Committee (1546/2/2015). No animals died during the experiment, except by humane euthanasia. No animals were euthanized, nor did any deaths occur, prior to the end of the experiments. The mice were euthanized by decapitation at the end of our experiment, per the rules of the Animal Ethics Committee at our institution.

Conflicts of Interest

The authors declare no conflicts of interest on this research.

Authors’ Contributions

TY, TH, EI, NFK, THt, HI, and MI contributed to the design of the study. TY, EI, and HI conducted the entire experiment except for metagenome analysis of gut microbiota that was conducted by TH and MI. TM and ZX contributed to the statistical analysis. TY, TH, TM, HI, and MI prepared the manuscript, figures, and tables.

Acknowledgments

Special thanks and appreciation are due to Yuka Anan and Keiko Shinohara for their diligent and heartfelt caring for experimental animals and to Lindsay Sydney Fajardo for her input in the discussion portion of this publication. This study was partly funded by the Research and Development Programme for Creation of Advanced Technology of Oita University.

Supplementary Materials

Supplementary Figure 1: comparison of the average major ingredients composition of mineral water among alkalescent mineral water (AMW) of Hita basin and those of global or Japanese areas. Supplementary Figure 2: schematic diagram of the diet study. Supplementary Figure 3: induction of UCP-1 gene expression in the testicle adipose tissues by AMW supplementation. Supplementary Figure 4: schematic diagram of the microbiota study. Supplementary Figure 5: comparison of weight gaining properties between TWC and AMW groups. Supplemental Table 1: comparison of major ingredients between TWC and AMW of Hita basin. Supplemental Table 2: primers and UPL probes used for RT-qPCR. Supplemental Table 3: average biochemical values in sera of C57BL6/J mice supplemented with TWC and AMW. Supplemental Table 4: gut microbiota population shift during 6-month intake of TWC and AMW. Supplemental Table 5: fluctuation ratio of four populations of gut microbiota and their standard errors (A) and standard deviations (B). (Supplementary Materials)

References

  1. D. F. Tate, G. Turner-McGrievy, E. Lyons et al., “Replacing caloric beverages with water or diet beverages for weight loss in adults: main results of the choose healthy options consciously everyday (CHOICE) randomized clinical trial,” The American Journal of Clinical Nutrition, vol. 95, no. 3, pp. 555–563, 2012. View at: Publisher Site | Google Scholar
  2. R. Muckelbauer, G. Sarganas, A. Grüneis, and J. Müller-Nordhorn, “Association between water consumption and body weight outcomes: a systematic review,” The American Journal of Clinical Nutrition, vol. 98, no. 2, pp. 282–299, 2013. View at: Publisher Site | Google Scholar
  3. Áa Casado, P. Ramos, J. Rodríguez, N. Moreno, and P. Gil, “Types and characteristics of drinking water for hydration in the elderly,” Critical Reviews in Food Science and Nutrition, vol. 55, no. 12, pp. 1633–1641, 2015. View at: Publisher Site | Google Scholar
  4. Water & Nutrition: https://www.cdc.gov/healthywater/drinking/nutrition/index.html.
  5. Z. Rasic-Milutinovic, G. Perunicic-Pekovic, D. Jovanovic, Z. Gluvic, and M. Cankovic-Kadijevic, “Association of blood pressure and metabolic syndrome components with magnesium levels in drinking water in some Serbian municipalities,” Journal of Water and Health, vol. 10, no. 1, pp. 161–169, 2012. View at: Publisher Site | Google Scholar
  6. J. Naumann, D. Biehler, T. Lüty, and C. Sadaghiani, “Prevention and therapy of type 2 diabetes-what is the potential of daily water intake and its mineral nutrients?” Nutrients, vol. 9, no. 8, p. E914, 2017. View at: Publisher Site | Google Scholar
  7. I. Vitoria, F. Maraver, C. Ferreira-Pêgo, F. Armijo, L. Moreno Aznar, and J. Salas-Salvadó, “The calcium concentration of public drinking waters and bottled mineral waters in Spain and its contribution to satisfying nutritional needs,” Nutricion Hospitalaria, vol. 30, no. 1, pp. 188–199, 2014. View at: Publisher Site | Google Scholar
  8. R. Rylander and M. J. Arnaud, “Mineral water intake reduces blood pressure among subjects with low urinary magnesium and calcium levels,” BMC Public Health, vol. 4, no. 1, p. 56, 2004. View at: Publisher Site | Google Scholar
  9. L. Toxqui and M. Vaquero, “An intervention with mineral water decreases cardiometabolic risk biomarkers. A crossover, randomised, controlled trial with two mineral waters in moderately hypercholesterolaemic adults,” Nutrients, vol. 8, no. 7, p. 400, 2016. View at: Publisher Site | Google Scholar
  10. I. Cetin, M. T. Nalbantcilar, K. Tosun, and A. Nazik, “How trace element levels of public drinking water affect body composition in Turkey,” Biological Trace Element Research, vol. 175, no. 2, pp. 263–270, 2017. View at: Publisher Site | Google Scholar
  11. T. Kozumi and Y. Kitagawa, “Water structure changes induced by ceramics can be detected by increased permeability through aquaporin,” Biochemistry and Biophysics Reports, vol. 5, pp. 353–358, 2016. View at: Publisher Site | Google Scholar
  12. Y. Kitagawa, C. Liu, and X. Ding, “The influence of natural mineral water on aquaporin water permeability and human natural killer cell activity,” Biochemical and Biophysical Research Communications, vol. 409, no. 1, pp. 40–45, 2011. View at: Publisher Site | Google Scholar
  13. Y. Li, T. Nishimura, K. Teruya et al., “Protective mechanism of reduced water against alloxan-induced pancreatic beta-cell damage: scavenging effect against reactive oxygen species,” Cytotechnology, vol. 40, no. 1–3, pp. 139–149, 2002. View at: Publisher Site | Google Scholar
  14. K. Masuda, Y. Tanaka, M. Kanehisa et al., “Natural reduced water suppressed anxiety and protected the heightened oxidative stress in rats,” Neuropsychiatric Disease and Treatment, vol. 13, pp. 2357–2362, 2017. View at: Publisher Site | Google Scholar
  15. R. M. C. Ignacio, T.-Y. Kang, C.-S. Kim et al., “Anti-obesity effect of alkaline reduced water in high fat-fed obese mice,” Biological and Pharmaceutical Bulletin, vol. 36, no. 7, pp. 1052–1059, 2013. View at: Publisher Site | Google Scholar
  16. J. Weidman, R. E. Holsworth Jr., B. Brossman, D. J. Cho, J. St Cyr, and G. Fridman, “Effect of electrolyzed high-pH alkaline water on blood viscosity in healthy adults,” Journal of the International Society of Sports Nutrition, vol. 13, no. 1, 2016. View at: Publisher Site | Google Scholar
  17. D. W. Shin, H. Yoon, H. S. Kim et al., “Effects of alkaline-reduced drinking water on irritable bowel syndrome with diarrhea: a randomized double-blind, placebo-controlled pilot study,” Evidence-Based Complementary and Alternative Medicine, vol. 2018, Article ID 9147914, 8 pages, 2018. View at: Publisher Site | Google Scholar
  18. S. Kajiyama, G. Hasegawa, M. Asano et al., “Supplementation of hydrogen-rich water improves lipid and glucose metabolism in patients with type 2 diabetes or impaired glucose tolerance,” Nutrition Research, vol. 28, no. 3, pp. 137–143, 2008. View at: Publisher Site | Google Scholar
  19. A. Pascale, N. Marchesi, C. Marelli et al., “Microbiota and metabolic diseases,” Endocrine, vol. 61, no. 3, pp. 357–371, 2018. View at: Publisher Site | Google Scholar
  20. R. J. Mulders, K. C. G. De Git, E. Schéle, S. L. Dickson, Y. Sanz, and R. A. H. Adan, “Microbiota in obesity: interactions with enteroendocrine, immune and central nervous systems,” Obesity Reviews, vol. 19, no. 4, pp. 435–451, 2018. View at: Publisher Site | Google Scholar
  21. E. Ikebe, N. Fife-Koshinomi, T. Matsumoto, T. Yahiro, T. Ikebe, and H. Iha, “Antiobesity and anti-inflammatory effects of orally administered bonito extracts on mice fed a high-fat diet,” Evidence-Based Complementary and Alternative Medicine, vol. 2017, Article ID 9187167, 13 pages, 2017. View at: Publisher Site | Google Scholar
  22. A. Hiraoka, M. Takemoto, T. Suzuki et al., “Studies on the properties and real existence of aqueous solution systems that are assumed to have antioxidant activities by the action of “active hydrogen”,” Journal of Health Science, vol. 50, no. 5, pp. 456–465, 2004. View at: Publisher Site | Google Scholar
  23. T. Hiratsuka, M. Inomata, S. Goto et al., “Phototherapy with artificial light suppresses dextran sulfate sodium-induced colitis in a mouse model,” Journal of Gastroenterology and Hepatology, vol. 29, no. 4, pp. 749–756, 2014. View at: Publisher Site | Google Scholar
  24. A. M. Bolger, M. Lohse, and B. Usadel, “Trimmomatic: a flexible trimmer for Illumina sequence data,” Bioinformatics, vol. 30, no. 15, pp. 2114–2120, 2014. View at: Publisher Site | Google Scholar
  25. A. Ike, Y. Yamamoto, and M. Kawase, “The relationship of the components of tap water to its taste: a principal components analysis of significant factors,” Japan society of cookery science (Japanese), vol. 49, no. 1, pp. 74–81, 2016. View at: Google Scholar
  26. H. Zeng, W.-Q. Shu, J.-A. Chen et al., “Experimental comparison of the reproductive outcomes and early development of the offspring of rats given five common types of drinking water,” PLoS One, vol. 9, no. 10, Article ID e108955, 2014. View at: Publisher Site | Google Scholar
  27. J. Ye, Y. Li, T. Hamasaki et al., “Inhibitory effect of electrolyzed reduced water on tumor angiogenesis,” Biological & Pharmaceutical Bulletin, vol. 31, no. 1, pp. 19–26, 2008. View at: Publisher Site | Google Scholar
  28. S. Rousset, M.-C. Alves-Guerra, J. Mozo et al., “The biology of mitochondrial uncoupling proteins,” Diabetes, vol. 53, no. 1, pp. S130–S135, 2004. View at: Publisher Site | Google Scholar
  29. Y. Okamatsu-Ogura, K. Fukano, A. Tsubota et al., “Thermogenic ability of uncoupling protein 1 in beige adipocytes in mice,” PLoS One, vol. 8, no. 12, pp. 1–10, 2013. View at: Publisher Site | Google Scholar
  30. T. Poutahidis, M. Kleinewietfeld, C. Smillie et al., “Microbial reprogramming inhibits Western diet-associated obesity,” PLoS One, vol. 8, no. 7, Article ID e68596, 2013. View at: Publisher Site | Google Scholar
  31. O. Castaner, A. Goday, Y. M. Park et al., “The gut microbiome profile in obesity: a systematic review,” International Journal of Endocrinology, vol. 2018, Article ID 4095789, 9 pages, 2018. View at: Publisher Site | Google Scholar
  32. M. H. Sofi, R. Gudi, S. Karumuthil-Melethil, N. Perez, B. M. Johnson, and C. Vasu, “pH of drinking water influences the composition of gut microbiome and type 1 diabetes incidence,” Diabetes, vol. 63, no. 2, pp. 632–644, 2014. View at: Publisher Site | Google Scholar
  33. L. Li, L. Hua, Y. He, and Y. Bao, “Differential effects of formaldehyde exposure on airway inflammation and bronchial hyperresponsiveness in BALB/c and C57BL/6 mice,” PLoS One, vol. 12, no. 6, Article ID e0179231, 2017. View at: Publisher Site | Google Scholar
  34. R. Mariman, F. Tielen, F. Koning, and L. Nagelkerken, “The probiotic mixture VSL#3 has differential effects on intestinal immune parameters in healthy female BALB/c and C57BL/6 mice,” The Journal of Nutrition, vol. 145, no. 6, pp. 1354–1361, 2015. View at: Publisher Site | Google Scholar
  35. N. Lee and W. U. Kim, “Microbiota in T-cell homeostasis and inflammatory diseases,” Experimental & Molecular Medicine, vol. 49, no. 5, p. e340, 2017. View at: Publisher Site | Google Scholar
  36. K. L. Ormerod, D. L. A. Wood, N. Lachner et al., “Genomic characterization of the uncultured Bacteroidales family S24-7 inhabiting the guts of homeothermic animals,” Microbiome, vol. 4, no. 1, p. 36, 2016. View at: Publisher Site | Google Scholar
  37. M. A. K. Azad, M. Sarker, T. Li, and J. Yin, “Probiotic species in the modulation of gut microbiota: an overview,” BioMed Research International, vol. 2018, Article ID 9478630, 8 pages, 2018. View at: Publisher Site | Google Scholar
  38. J. Plaza-Díaz, F. Ruiz-Ojeda, L. Vilchez-Padial, and A. Gil, “Evidence of the anti-inflammatory effects of probiotics and synbiotics in intestinal chronic diseases,” Nutrients, vol. 9, no. 6, p. 555, 2017. View at: Publisher Site | Google Scholar
  39. C. Carlucci, E. O. Petrof, and E. Allen-Vercoe, “Fecal microbiota-based therapeutics for recurrent Clostridium difficile infection, ulcerative colitis and obesity,” EBioMedicine, vol. 13, pp. 37–45, 2016. View at: Publisher Site | Google Scholar
  40. N. Cassir, S. Benamar, and B. La Scola, “Clostridium butyricum: from beneficial to a new emerging pathogen,” Clinical Microbiology and Infection, vol. 22, no. 1, pp. 37–45, 2016. View at: Publisher Site | Google Scholar
  41. K. J. Wolf, J. G. Daft, S. M. Tanner, R. Hartmann, E. Khafipour, and R. G. Lorenz, “Consumption of acidic water alters the gut microbiome and decreases the risk of diabetes in NOD mice,” Journal of Histochemistry & Cytochemistry, vol. 62, no. 4, pp. 237–250, 2014. View at: Publisher Site | Google Scholar
  42. S. M. Kang, J. W. Jhoo, J. I. Pak, I. K. Kwon, S. K. Lee, and G. Y. Kim, “Effect of yogurt containing deep sea water on health-related serum parameters and intestinal microbiota in mice,” Journal of Dairy Science, vol. 98, no. 9, pp. 5967–5973, 2015. View at: Publisher Site | Google Scholar
  43. N. E. Mohamad, S. K. Yeap, H. Ky et al., “Dietary coconut water vinegar for improvement of obesity-associated inflammation in high-fat-diet-treated mice,” Food & Nutrition Research, vol. 61, no. 1, Article ID 1368322, 2017. View at: Publisher Site | Google Scholar
  44. Y. Higashimura, Y. Baba, R. Inoue et al., “Effects of molecular hydrogen-dissolved alkaline electrolyzed water on intestinal environment in mice,” Medical Gas Research, vol. 8, no. 1, pp. 6–11, 2018. View at: Publisher Site | Google Scholar
  45. M. Million, J.-C. Lagier, D. Yahav, and M. Paul, “Gut bacterial microbiota and obesity,” Clinical Microbiology and Infection, vol. 19, no. 4, pp. 305–313, 2013. View at: Publisher Site | Google Scholar
  46. R. E. Ley, F. Backhed, P. Turnbaugh, C. A. Lozupone, R. D. Knight, and J. I. Gordon, “Obesity alters gut microbial ecology,” Proceedings of the National Academy of Sciences, vol. 102, no. 31, pp. 11070–11075, 2005. View at: Publisher Site | Google Scholar
  47. A. Riva, F. Borgo, C. Lassandro et al., “Pediatric obesity is associated with an altered gut microbiota and discordant shifts in F irmicutes populations,” Environmental Microbiology, vol. 19, no. 1, pp. 95–105, 2017. View at: Publisher Site | Google Scholar
  48. A. Koliada, G. Syzenko, V. Moseiko et al., “Association between body mass index and Firmicutes/Bacteroidetes ratio in an adult Ukrainian population,” BMC Microbiology, vol. 17, no. 1, p. 120, 2017. View at: Publisher Site | Google Scholar
  49. P. J. Turnbaugh, R. E. Ley, M. A. Mahowald, V. Magrini, E. R. Mardis, and J. I. Gordon, “An obesity-associated gut microbiome with increased capacity for energy harvest,” Nature, vol. 444, no. 7122, pp. 1027–1031, 2006. View at: Publisher Site | Google Scholar
  50. S.-R. Yoo, Y.-J. Kim, D.-Y. Park et al., “ProbioticsL. plantarumandL. curvatusin combination alter hepatic lipid metabolism and suppress diet-induced obesity,” Obesity, vol. 21, no. 12, pp. 2571–2578, 2013. View at: Publisher Site | Google Scholar
  51. D.-Y. Park, Y.-T. Ahn, S.-H. Park et al., “Supplementation of Lactobacillus curvatus HY7601 and Lactobacillus plantarum KY1032 in diet-induced obese mice is associated with gut microbial changes and reduction in obesity,” PLoS One, vol. 8, no. 3, Article ID e59470, 2013. View at: Publisher Site | Google Scholar
  52. P. D. Cani, “Human gut microbiome: hopes, threats and promises,” Gut, vol. 67, no. 9, pp. 1716–1725, 2018. View at: Publisher Site | Google Scholar
  53. J. A. Foster, L. Rinaman, and J. F. Cryan, “Stress & the gut-brain axis: regulation by the microbiome,” Neurobiology of Stress, vol. 7, pp. 124–136, 2017. View at: Publisher Site | Google Scholar

Copyright © 2019 Takaaki Yahiro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

575 Views | 167 Downloads | 0 Citations
 PDF  Download Citation  Citation
 Download other formatsMore
 Order printed copiesOrder
 Sign up for content alertsSign up

You are browsing a BETA version of Hindawi.com. Click here to switch back to the original design.