An-Chyi Chen1,2†
Tzu-Jung Fang3,4†
Hsieh-Hsun Ho5
Jui-Fen Chen5
Yi-Wei Kuo5
Yen-Yu Huang5
Shin-Yu Tsai5Shu-Fen Wu1,2
Hung-Chih Lin6,7,8*
Yao-Tsung Yeh9,10*- 1Division of Pediatric Gastroenterology, China Medical University Children’s Hospital, Taichung City, Taiwan
- 2School of Medicine, China Medical University, Taichung City, Taiwan
- 3College of Medicine, Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
- 4Division of Geriatrics and Gerontology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- 5Department of Research and Design, Glac Biotech Co., Ltd., Tainan City, Taiwan
- 6Division of Neonatology, China Medical University Children’s Hospital, Taichung City, Taiwan
- 7School of Chinese Medicine, China Medical University, Taichung City, Taiwan
- 8Asia University Hospital, Asia University, Taichung City, Taiwan
- 9Aging and Disease Prevention Research Center, Fooyin University, Kaohsiung City, Taiwan
- 10Department of Medical Laboratory Science and Biotechnology, Fooyin University, Kaohsiung City, Taiwan
Background and aims: Obese children are more prone to becoming obese adults, and excess adiposity consequently increases the risk of many complications, such as metabolic syndromes, non-alcoholic fatty liver disease, cardiovascular disease, etc. This study aimed to evaluate the effects of multi-strain probiotics on the gut microbiota and weight control in obese children.
Methods: A double-blind, randomized, placebo-controlled trial was carried out on overweight and obese children. Subjects received 12 weeks of treatment with supplementary probiotics that contained three strains: Lactobacillus salivarius AP-32, L. rhamnosus bv-77, and Bifidobacterium animalis CP-9, plus diet and exercise guidance. A total of 82 children were enrolled, and 53 children completed the study.
Results: The supplementation of multi-strain probiotics resulted in a significant effect demonstrating high-density lipoprotein (HDL) and adiponectin elevation. At the same time, body mass index (BMI) and serum total cholesterol, low-density lipoprotein (LDL), leptin, and tumor necrosis factor-alpha (TNF-α) levels were reduced. Lactobacillus spp. and B. animalis were particularly increased in subjects who received probiotic supplements. The abundance of Lactobacillus spp. was inversely correlated with the ether lipid metabolism pathway, while that of B. animalis was positively correlated with serum adiponectin levels.
Conclusion: Our results show that obesity-related gut dysbiosis can be reshaped by the supplementation of a multi-strain probiotic to improve lipid metabolism. The regular administration of a multi-strain probiotic supplement may be helpful for weight control and health management in overweight and obese children.
Introduction
According to the estimations of the World Health Organization (WHO), the prevalence of overweight or obese children and adolescents aged 5–19 years increased by more than four-fold, from 4 to 18%, globally from 1975 to 2016 (1). Compared to people with normal weight, obese people have a risk of diabetes, metabolic syndrome, and dyslipidemia that is 3 times higher compared to their normal-weight counterparts and a risk of hypertension, cardiovascular disease, knee arthritis, and gout that is 2 times higher (2). Childhood obesity has a number of negative health effects, such as early onset diabetes, high blood pressure, hyperlipidemia, and cardiovascular disease. Moreover, studies have found that obese children have a higher blood vessel stiffness, faster heartbeat, and poorer vascular endothelial function than normal-weight children (3). Long-term follow-up studies have revealed that the long-term effects of childhood obesity may cause abnormal heart structures and may result in a higher risk for cardiovascular disease in adults (4).
Although the main cause of obesity is excessive calorie intake and insufficient physical activity, recent studies have indicated that lack of sleep, poor eating habits, and the dysbiosis of intestinal bacteria can be attributed to obesity (5). Studies have further demonstrated that the composition of the intestinal flora in obese and normal-weight individuals is distinctly different. For instance, Firmicutes and Staphylococcus aureus were increased while Bacteroidetes and Bifidobacterium were decreased in obese children compared to lean children (6, 7). At present, it is not yet clear how the intestinal flora modulates obesity. Hypothetical mechanisms include changing the absorption, storage, and utilization of nutrients, and the regulation of energy metabolism and body inflammation (8).
According to the FAO/WHO, probiotics are “live microorganisms that, when administered in adequate amounts, confer a health benefit on the host” (9, 10). The most commonly used probiotic genera are Bifidobacterium and Lactobacillus. Numerous studies have revealed that obese adults who use probiotic-related products such as prebiotics, dairy products containing probiotics, and synbiotics or who take probiotic bacteria directly can effectively control their body weight (11). Nevertheless, it is critically noted that the effect of probiotics in obese children may not be the same as those observed in obese adults. Clinical investigations in this field remain very limited. In 2013, Safavi’s group reported the positive effect of a synbiotic product containing probiotics, which reduced the body weight, body mass index (BMI), and serum lipid levels in obese children (12). Contrastively, Jones’ group reported the null effect of a probiotic supplement (VSL#3®) intervention in obese Hispanic adolescents in 2018 (13). Therefore, there is a keen need to clarify specific probiotic strains or products that can provide positive effects on weight control in obese children. In our previous study, the weight-reducing effect of a multi-strain probiotic supplement was validated in high-fat diet (HFD)-induced obese rats (14). The multi-strain probiotic supplement contained three strains: L. rhamnosus bv-77, B. lactis CP-9, and L. salivarius AP-32. These three probiotic strains were able to reduce the ketone body level and alleviate body fat formation in rats when administered separately or together.
In this study, a clinical trial in overweight and obese children was carried out to explore whether an oral supplement of the three aforementioned multi-strain probiotics can help obese or overweight children to lose weight and improve metabolic disorders. In addition to weight control, the effect of this probiotic mixture was evaluated according to physiological observations of the subject, such as height, waist circumference, hip circumference, body fat, and blood pressure. Blood chemistry, including blood sugar, blood fat, liver function, and kidney functions were investigated. Serum cytokine and adipokine levels, such as those of TNF-α, leptin, and adiponectin were also analyzed. Eventually, next generation sequencing (NGS) was performed to reveal the influence of probiotic supplements on the gut microbiota.
Materials and methods
Ethics, informed consent, and permissions
This randomized, double-blind, placebo-controlled clinical study was carried out in the China Medical University Children’s Hospital. According to documentation from the Ministry of Health and Welfare, children with a BMI equal to or higher than the age- and sex-specific 85th percentile were overweight, and those with a BMI that was equal to or higher than the 95th percentile were obese. Overweight/obese children aged 6–18 years old were recruited through meetings with their parents. Children were excluded if they (1) had underlying conditions and other severe chronic diseases, (2) were on anti-obesity medication, (3) had already been taking probiotic products for a long time, and (4) were taking antibiotics. All of the qualified children whose parents had given informed consent were placed into randomized groups for the trial (n = 82). The study protocol (IRB No. CMUH105-REC2-096) was approved by the ethics committee of China Medical University Hospital. The trial is registered with the trial registry under code NCT03883191.
Study design and subjects
The intervention lasted 3 months. Every day, the subjects in the study group took three packages of the supplement, which contained functional ingredients (i.e., white kidney bean extract: 300 mg, Psyllium husk: 100 mg, and Garcinia cambogia extract: 100 mg) and probiotics. The subjects were advised to take one package 30 min prior to each meal and to take three packages in total per day. Every package contained a total number of 1010 colony-forming units (CFU) including Lactobacillus salivarius AP-32 (109 CFU), Lactobacillus rhamnosus bv-77 (109 CFU), and Bifidobacterium animalis CP-9 (8 × 109 CFU). L. salivarius AP-32 was isolated from a healthy human gut and deposited as BCRC910437 and CCTCC M 2011127. L. rhamnosus bv-77 was isolated from human breast milk and deposited as BCRC 910533 and CCTCC M 2014589. B. animalis CP-9 was isolated from human breast milk and deposited as BCRC 910645 and CCTCC M 2014588. At the same time, the subjects in the placebo group took three packages of the supplement containing the same ingredients without any of the probiotics. The doctors, parents, children, and investigators were unaware of which set of packages contained the probiotic mixtures until the end of the intervention and after the analysis was performed. During the intervention, other products containing probiotics were forbidden.
A detailed participant flowchart showing the baseline visit to the end visit is shown in Figure 1. Subjects visited Dr. An-Chyi Chen at the special clinic for pediatric obesity at the China Medical University Children’s Hospital. Information on the child’s family, living environment, child’s nutrition habits, exercise habits, and illnesses was collected. The child’s body height, body weight, blood pressure, heart rate, waistline, and hip circumference were also recorded. Body fat was measured at four sites: biceps, triceps, lower scapula, and thighs using Baseline Skinfold Calipers (Fabrication Enterprises, Inc., Pakistan). Symptoms such as acanthosis nigricans, obesity lines, gynecomastia, and snoring were diagnosed by the doctor. Fecal samples were collected at the beginning and the end of the study.
Figure 1. Clinical trial flowchart. A total of 82 people were admitted in the recruitment stage, and 4 people withdrew before the next stage. A total of 78 people entered the distribution stage: 41 people were allocated to the probiotic group, and 37 people were allocated to the placebo group. During the trial period, 14 people from the probiotic group withdrew, and 11 people from the placebo group withdrew. In the end, 27 people in the probiotic group and 26 people in the placebo group completed the study. Data from these 53 people were accounted for in the statistical analysis.
Blood biochemical analysis
Blood collection and examination
Blood samples were collected from the subjects at the Medicine Laboratory Department of China Medical University Hospital. Serum indicators for thyroxine (TSH, T3, and T4), blood glucose (fasting blood glucose, HbA1c, C-peptide, and insulin), blood lipids [total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides], liver function (GOT and GPT), and renal function (uric acid) were analyzed. Values were compared, and change rates were investigated before and after the 3-month intervention.
Enzyme-linked immunosorbent assay
The blood serum was obtained by centrifugation and analyzed by commercial enzyme-linked immunosorbent assay (ELISA) kits. The ELISA kits for the human inflammatory cytokine TNF-α were purchased from BioLegend, Inc., United States, and those for human leptin and adiponectin were purchased from R&D Systems, Inc., United States and LifeSpan BioSciences Inc., United States, respectively. All samples are tested in at least three replicates.
Statistical analysis
Due to the potential dispersion of data, the value of the continuous variable is expressed as the mean ± standard error deviation (SEM). Wilcoxon signed-rank test and Mann–Whitney U test was used to compare the differences within or between groups; the variable is expressed as an N value or percentage was analyzed by Fisher’s exact test. The percentage of the test item was presented as the standardized average percentage (Endpoint/Baseline). The heat map demonstrating the fecal microbial richness was produced by using Graphpad prism 8 (Graphpad Software, San Diego, CA, United States). SPSS 18 (IBM, United States) was used for statistical analysis, and p < 0.05 were considered to be statistically significant.
Gut microbiota analysis
Fecal DNA extraction
Bacteria DNA was extracted from the fecal samples using the QIAamp Fast DNA Stool Mini Kit(Qiagen, Germany) with some modified instructions. Briefly, the stool sample was centrifuged at 13,200 rpm for 10 min to remove the storage buffer and lysis using InhibitEX buffer. After homogenization, proteinase K and ethanol were added to obtain the processed supernatant. Finally, the supernatant was washed with a QIAamp spin column and eluted with elution buffer. The concentration was assessed by NanoDrop 2000 and a 10× dilution was then performed with elution buffer.
Next generation sequencing (NGS) analysis
The gut microbiome library was constructed with the standard V3–V4 region of the 16S rRNA gene. PCR was amplified with KAPA HiFi hotstart readymix (Roche, United States) and purified with AMPure XP magnetic beads (Beckman Coulter, United States). The amplified and quality of the PCR product was assessed using a Fragment Analyzer (Advanced Analytical, United States) and was quantified using a Qubit 3.0 Fluorometer. Then, the library was sequenced on a MiSeq (Illumina, United States) with paired-end reads (2 × 301 nt) and at least 100,000 reads of every sample.
Bioinformatics Analysis and Statistics
The raw paired-end reads were trimmed, and those that passed the quality filters were assigned to operational taxonomic units (OTU) with ≥ 97% similarity according to the GreenGene Database (v13.8). OTU taxonomic, alpha diversity, beta diversity, and heatmaps were performed with MicrobiomeAnalyst,1 GraphPad Prism 8 (GraphPad Software, United States), and the CLC genomics workbench (Qiagen, Germany). The bacterial abundance analysis (Linear discriminant analysis Effect Size, LEfSe), which is widely used to analyze significant differences between groups, and functional analysis (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States, PICRUSt) were performed using the Galaxy/Hutlab website.2 A p-value less than 0.05 was considered statistically significant. The statistical significance was further adjusted by False Discovery Rate (FDR). The FDR was performed by using the smallest Benjamini-Hochberg adjusted p-value when utilizing unpaired t-tests with a Welch’s correction. An FDR-adjusted p-value (also called q-value) of 0.05 indicates that 5% of significant tests may result in false positives.
Results
The multi-strain probiotic blend reduced triacylglycerol (TG) accumulation in Caco-2 cells (Supplementary Figure 1) and was packaged as powder supplements. Children aged 6–18 years who met the eligibility criteria of overweight or obesity were recruited, and the trial was carried out as shown in the flowchart in Figure 1. A total of 82 people entered the distribution stage, and 53 people fully completed the trial. Data from 27 people in the probiotic group and from 26 people in the placebo group were analyzed and compared at the end of the trial. The baseline characteristics of every subject were recorded, and no significant differences were found between the placebo and probiotic groups, with the exception of systolic blood pressure (Supplementary Table 1).
Probiotic supplements reduced body mass index and body weight in obese children
After a 3-month intervention, the BMI of both groups was significantly reduced, which was probably due to regular exercise and diet. The subjects were educated regarding their diet and received exercise guidance, but no fixed meal recipes were assigned, nor was there a mandatory exercise schedule in this trial. Importantly, the reduction in the BMI level was significantly greater in the probiotic group (Table 1). The BMI level reduced by 0.5 kg/m2 in the placebo group (*p = 0.015) and by 1.2 kg/m2 in the probiotic group (***p < 0.001), respectively. In addition, the BMI change rate was significantly different between the probiotic and placebo groups (#p = 0.026). As expected for children who are around age 11, there was a significant increase in body height in both groups (Table 1). Body height increased by 1.2 cm in the placebo group (***p < 0.001) and increased by 1.5 cm in the probiotic group (***p < 0.001). Body weight was reduced in both groups, but a significant reduction was only observed in the probiotic group. There was a 0.5 kg body weight reduction in the placebo group (p = 0.594) and a significant reduction of 1.5 kg in the probiotic group (**p = 0.007).
Table 1. The comparison of physiological and blood biochemical values obtained before and after the intervention.
The number of people with acanthosis nigricans, striae, gynecomastia, and snoring was not affected by the intervention in either the placebo or the probiotic group (Supplementary Table 2). It should be noted that obesity is frequently associated with liver damage and elevated liver enzymes in serum (15). The probiotic supplement significantly reduced serum GOT and GPT (Supplementary Table 2). The additional physiological test values that were obtained before and after the intervention are compared in Table 1. The waist and hip circumference were slightly reduced in both groups, but the change rates did not reach a significant difference between the two groups. A significant difference was observed in the systolic blood pressure between the placebo and probiotic groups before the intervention, and this difference no longer existed after the intervention. The diastolic blood pressure and heartbeat were not affected in both groups. It is well known that obesity is highly associated with insulin sensitivity, so carbohydrate metabolism was also investigated. Neither the placebo nor probiotic interventions affected the serum levels of glucose AC, HbA1c, C-peptide, insulin, and HOMA-IR.
Probiotic supplements modulated blood lipid content and increased serum adiponectin levels in obese children
After the 3-month intervention, the body fat was analyzed by measuring the thickness of the subcutaneous tissue at four sites: biceps, triceps, subscapular, and thigh. The result showed a significant body fat reduction at two sites in the placebo group, and at all sites in the probiotic group (Figure 2A). In the placebo group, body fat reduced from 43.2 ± 1.9 to 38.9 ± 1.8 mm (**p = 0.001) at the triceps and from 45.3 ± 1.3 to 42.3 ± 1.6 mm (*p = 0.032) at the thigh. In the probiotic group, body fat reduced from 33.5 ± 1.4 to 31.0 ± 1.1 mm (*p = 0.045), 44.1 ± 1.7 to 39.0 ± 1.7 mm (**p = 0.001), 46.4 ± 1.6 to 42.4 ± 1.3 mm (*p = 0.012), and from 46.8 ± 1.6 to 41.6 ± 1.3 mm (***p < 0.001) at the biceps, triceps, subscapular, and thigh, respectively.
Figure 2. Probiotic supplements modulated blood lipids and adipokines in obese children. (A) The thickness of the subcutaneous tissue was measured at the biceps, triceps, subscapular, and thigh before (0 M) and after (3 M) the intervention. (B) TC (total cholesterol), LDL (low-density lipoprotein), HDL (high-density lipoprotein), and TG (triacylglycerol) were measured before and after the intervention. (C) The change rates of the TC, LDL, HDL, and TG were compared between the placebo and probiotic groups. (D) The adiponectin values before (0 M) and after (3 M) the intervention are plotted on the left Y axis, and the serum adiponectin change rate in the placebo and probiotic groups is plotted on the right Y axis. (E) The serum leptin values before and after the intervention are plotted on the left Y axis, and the change rate of leptin in the placebo and probiotic groups is plotted on the right Y axis. (F) The serum TNF-α values before and after the intervention are plotted on the left Y axis and the serum TNF-α change rate in the placebo and probiotic groups is plotted on the right Y axis. Data are presented as mean ± SEM. The Wilcoxon signed rank test was used to compare the differences between before and after the intervention within the group, *p < 0.05, **p < 0.01, and ***p < 0.001. The Mann–Whitney U test was used to compare the differences between the placebo and probiotic groups: #p < 0.05 and ##p < 0.01.
The blood lipid content was significantly modulated in the probiotic group (Figures 2B,C). The total cholesterol (TC) level was reduced from 172.3 ± 5.9 to 154.3 ± 6.8 mg/dl in the probiotic group (**p = 0.004), and the change rate in the TC was significantly different between the probiotic and placebo groups (#p = 0.046). Moreover, two key components of TC, LDL and HDL, were investigated (Figures 2B,C). The LDL level was reduced from 119.4 ± 5.0 to 109.8 ± 4.4 mg/dl in the probiotic group (**p = 0.002), and the change rate in the LDL was significantly different between the probiotic and placebo groups (#p = 0.048). The HDL level increased from 45.6 ± 1.7 to 51.3 ± 2.3 mg/dl in the probiotic group (***p < 0.001), and the change rate in the HDL was also significantly different between the probiotic and placebo groups (#p = 0.039). There were a slight reduction in the triacylglycerol (TG) levels in both groups, and the difference did not reach statistical significance.
Adiponectin and leptin are cytokines that are excessively produced by adipocytes. Leptin is thought to be responsible for several cardiovascular diseases associated with obesity, while adiponectin is considered to be cardioprotective (16). The serum adiponectin level was increased from 7.1 ± 0.6 to 8.8 ± 0.7 μg/ml in the probiotic group (**p = 0.001), and the serum adiponectin change rate was significantly different between the probiotic and placebo groups (Figure 2D, #p = 0.042). The serum leptin level was reduced from 2,552.2 ± 131.9 to 2,424.1 ± 135.1 pg/ml in the placebo group (*p = 0.040) and was reduced from 2,792.4 ± 175.1 to 2,393.3 ± 150.8 pg/ml in the probiotic group (Figure 2E, ***p < 0.001). Notably, serum leptin was reduced in both groups, but the serum leptin change rate remained significantly different between the probiotic and placebo groups (#p = 0.048).
Obesity is associated with chronic low-grade inflammation immune conditions and is usually accompanied by elevated pro-inflammatory cytokine levels such as TNF-α (17). Interestingly, the TNF-α level was not affected in the placebo group but was significantly reduced from 27.5 ± 9.2 to 24.9 ± 8.7 pg/ml in the probiotic group (Figure 2F, *p = 0.015). The TNF-α change rate was significantly different between the probiotic and placebo groups (##p = 0.001).
Probiotic supplements changed the composition of the top 10 most abundant genera in obese children
Growing evidence has linked gut dysbiosis as a potential risk factor for the pathophysiology of obesity (18). To analyze whether the probiotic supplement would change the diversity of the gut microbiome, the alpha diversity (the complexity within a community) and beta diversity (the differences between microbial communities) of the fecal samples were further investigated. No significant changes were observed in neither the alpha nor the beta diversity between the probiotic and placebo groups (Supplementary Figure 2). The microbial compositions of the top 10 most abundant gut bacteria were compared in obese and overweight children before and after the intervention (Figure 3 and Supplementary Table 3). At the phylum level, Proteobacteria spp. increased (P = 0.042; FDR adjusted q = 0.255) and Bacteroidetes spp. decreased (P = 0.045; FDR adjusted q = 0.135) after the administration of the probiotic supplement (Figure 3A and Supplementary Figure 3A). At the genus level, Blautia spp. (p = 0.043; FDR adjusted q = 0.428) and Ruminoccus spp. (p = 0.049; FDR adjusted q = 0.162) decreased in the probiotic group compared to the placebo group (Figure 3B and Supplementary Figure 3B). Instead, the abundance of Collinsella spp. increased (p = 0.045; FDR adjusted q = 0.226) after the administration of the probiotic supplement.
Figure 3. Probiotic supplements changed the composition of top 10 most abundant phyla and top 10 most abundant genera in obese children. The change in the microbial composition is presented at the (A) phylum and (B) genus levels.
Gut microbiota were modulated differently in placebo and probiotic groups
Forty-four bacterial species were selected based on their abundance in the intestinal microbiota or according to their correlation to obesity as reported in the literature (19). In the probiotic group, B. animalis increased by 0.89% and Bacteroides vulgatus decreased by 1.37% after the intervention. In the placebo group, Streptococcus salivarius subsp. thermophilus increased by 1.07% and B. longum subsp. longum decreased by 2.00% (Figure 4A). Significant differences were observed in the change rates of seven species: B. animalis, Lactococcus garvieae subsp. garvieae, Bacteroides coprocola DSM 17136, Collinsella stercoris, Lactobacillus salivarius, Pediococcus acidilactici, and Ruminococcus callidus ATCC 27760, between probiotic and placebo groups (p < 0.001, 0.016, 0.026, 0.048, 0.001, 0.007, and 0.038, respectively).
Figure 4. Probiotic supplements modulated fecal microbiota in obese children. (A) Microbial composition changes at the species level were presented as a heat map. (B) Linear discriminant analysis (LDA) Effect Size (LEfSe) analysis was performed in the placebo and probiotic groups before and after the intervention. (C) The importance of bacterial species in response to the intervention was ranked by Random forester analysis. Bacterial names are listed from top to down according to their change rates in the probiotic group. Data are presented as the mean values of the end-to-baseline ratio. The increase in the ratio is presented in red, and the decrease in the ratio is presented in blue. The Mann–Whitney U test was used to compare the continuous variables. Statistical comparisons were obtained by Student’s t-test, *p < 0.05, **p < 0.01, and ***p < 0.001.
To identify the core gut microbiota affected by the intervention, LEfSe [Linear discriminant analysis (LDA) Effect Size] was performed to analyze the core bacteria of the gut microbiome in obese and overweight children (Figure 4B). B. animalis and B. pseudolongum were significantly increased in the probiotic group. In contrast, Sutterella spp. and Bacillus flexus were significantly decreased in the probiotic group. Another online tool (Random forester analysis, Microbiome Analyst) was used to analyze the importance of the abundant bacteria from each group that was involved. Bifidobacterium animalis was found to be the most important abundant bacterium upon probiotic intervention (Figure 4C).
The probiotic supplement increased Lactobacillus spp. and B. animalis in obese children
Based on the microbial compositions of the OTU (Figure 3) and the core bacteria found by the LEfSe and Random forester analysis (Figure 4), 11 genera and five species were commonly abundant between the placebo and probiotic groups (Supplementary Table 4). At the genus level, Blautia spp., Ruminoccus spp., Streptococcus spp. Coprococcus spp., Dorea spp., and Bacteroides spp. were decreased in the probiotic group, but Streptococcus spp. Coprococcus spp., Dorea spp., and Bacteroides spp. did not reach statistical significance (Supplementary Figure 3). Notably, B. animalis significantly increased in the probiotic group (p = 0.002; FDR adjusted q = 0.012, Figure 5A). However, the elevation of Lactobacillus spp. was less certain (p = 0.027; FDR adjusted q = 0.240, Figure 5B). Consequently, the correlation between different bacteria in response to the intervention was performed by an online tool [Correlation Analysis (SparCC), Microbiome Analyst] (Figure 5C). A gut microbiome network was created to display the complicated correlations between different bacterial genera. Bifidobacterium spp. played a central role in the network, which was in good agreement with the core bacteria deduced from the OTU, heatmap analysis, and LEfSe analysis.
Figure 5. Probiotic supplements increased Lactobacillus spp. and B. animalis in obese children. The relative hits of (A) B. animalis, (B) Lactobacillus spp. were compared before and after the intervention in the placebo and probiotic groups. (C) The correlations between different bacteria in response to the intervention were displayed as a network. Data are presented as mean ± SEM. Statistical comparisons were obtained by Student’s t-test.
Lactobacillus spp. and B. animalis affected fat metabolism in different aspects
The probiotic supplement was able to reshape obesity-related dysbiosis, and these alterations were able to be linked to the modulation of functional pathways via the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) method. In the probiotic group, the intervention significantly decreased ether lipid metabolism compared to the probiotic baseline group (Figure 6A). Similarly, compared to the placebo group, the reduction in ether lipid metabolism was mainly attributed to probiotic supplementation (Figure 6B). It was noted that the probiotic supplement contained two Lactobacillus strains (L. salivarius AP-32 and L. rhamnosus bv-77) and one Bifidobacterium strain (B. animalis CP-9). Therefore, how Lactobacillus spp. and B. animalis are correlated with lipid metabolism were further investigated.
Figure 6. The abundance of Bifidobacterium animalis and Lactobacillus spp. displayed correlations with ether lipid metabolism, HDL, and adiponectin. (A) Six functional pathways were significantly affected by the intervention in the probiotic group. (B) Nine functional pathways were altered differently between the placebo and probiotic groups. The abundance of B. animalis and Lactobacillus spp. were correlated with (C) HDL, (D) adiponectin, and (E) ether lipid metabolism. (F) Total cholesterol (TC) and LDL were correlated with ether lipid metabolism.
Spearman’s correlation analysis was performed to analyze how Lactobacillus spp. and B. animalis were correlated with all of the blood biochemistry values in obese children (Figures 6C–F). Among the blood lipid contents, HDL displayed a positive correlation with both B. animalis and Lactobacillus spp. (Figure 6C, both p = 0.029). One of the adipokines, adiponectin, displayed a positive correlation with B. animalis (Figure 6D). Ether lipid metabolism was negatively correlated to the abundance of Lactobacillus spp. (Figure 6E, p = 0.026). How ether lipid metabolism was correlated with blood lipids was also analyzed, and the results showed that TC and LDL were positively correlated with ether lipid metabolism (Figure 6F, p < 0.001 and 0.027, respectively).
Discussion
It has been suggested that obese adults who use probiotic-related products can effectively control their weight and metabolic disorders related to weight (11). However, the effect of probiotics in obese children may not be the same as in adults (12, 13). In the present study, the supplementation of multi-strain probiotics, L. salivarius AP-32, L. rhamnosus bv-77, and B. animalis CP-9, significantly decreased BMI, TC, LDL, leptin, and TNF-α in overweight/obese children. Meanwhile, the intervention significantly increased serum HDL and adiponectin levels as well as reshaped or improved obesity-related gut dysbiosis. From the observation of the BMI profiles, the results indicate that the supplementation of functional ingredients together with probiotics was able to provide better weight control than supplementation with functional ingredients only. The BMI reduction in the placebo group was due to an increase in body height but not a decrease in body weight. The BMI reduction in the probiotic group was due to a simultaneous increase in body height and decrease in body weight. According to WHO guidelines, children should have at least 60 min of moderate-to-vigorous physical activity (PA) every day (20). However, a general survey reported that the amount of PA in grade 1 to grade 12 students in Taiwan did not meet WHO’s recommendation (21). In other words, exceeding the amount of PA recommended by the WHO can be more challenging for overweight/obese children and their families. In this trial, families were educated on the importance of PA, but it was not mandatory. An animal study showed that a combination of probiotics and exercise may synergistically assist obesity management and health improvement (22). Therefore, further studies combining programmed exercise with increased strength are needed to elucidate the synergistic effect of probiotics and PA in overweight/obese children.
Notably, better effects were observed in terms of body fat and blood lipids, such as reductions in the TC and LDL, and increase in the HDL were observed in the probiotic group. In the placebo group, body fat was reduced at two of the four measured sites, and no effects on blood lipids were observed. The placebo supplement contained functional ingredients, including white kidney bean extract, Psyllium husk, and Garcinia cambogia extract, which have been reported to modulate the gut microbiota in animals and humans (23–25). Therefore, the effect on weight loss could be expected in the placebo group (26–28). Our results indicated that the composition of the gut microbiota was altered differently in the placebo (functional ingredients) and probiotic (functional ingredients + probiotics) groups. Interestingly, the abundance of B. animalis was not affected in the placebo group, while it was significantly increased in the probiotic group. A high proportion (80%, 8 × 109 CFU) of B. animalis CP-9 and a lower proportion of Lactobacillus (10%, 109 CFU L. salivarius AP-32 and 10%, 109 CFU L. rhamnosus bv-77) were intentionally used to compensate obesity-related dysbiosis (29) in this trial. Therefore, the ratio (AP-32: bv-77: CP-9 = 1: 1: 8) of probiotic strains in the supplement could be related to the relative abundance of the species in the fecal samples at the end of the trial. The probiotics were taken together with functional ingredients in the probiotic group, so it remains unclear to what extent probiotic bacteria itself could improve lipid metabolism in humans. One probiotic strain may reduce BMI without affecting lipid metabolism-related parameters (30). Moreover, other studies have shown that the same fermented products have controversial effects on the serum lipid level in humans (31, 32). A clinical study showed that the supplementation of probiotic strains and functional ingredients had a positive influence on blood lipoprotein profiles (33). Taken together, supplementation with solely abiotic ingredients or biotic strains may not have the best effect due to the lipid metabolism complex in the human body. The combination of probiotics and functional ingredients may exert synergistic effects and provide a more profound outcome than either one of them.
Adipokines and adipocytokines are bioactive products that are secreted by the adipose tissue and have become important biomarkers for metabolic disorders in the current decade (34, 35). The imbalance of decreased adiponectin plasma concentrations and increased leptin levels is closely related to obesity (36, 37). Additionally, leptin upregulates tumor necrosis factor alpha (TNF-α) expression (38). TNF-α is a multifunctional cytokine, and its elevated production leads to the inflammatory nature of obesity (39). Changing the efficiency of cellular fatty acid uptake to modulate leptin expression and production could be feasible (40). In a previous study, the same multi-strain supplement used in this study, which contained AP-32, bv-77, and CP-9 showed a better capability to reduce the ketone body, and non-esterified fatty acids (NEFA), and blood lipids than a mono-strain supplement in HFD-induced obese rodents (14). In this study, adiponectin upregulation and leptin and TNF-α downregulation were demonstrated in humans. Studies have reported that supplementation with Bifidobacterium spp. is able to induce adiponectin expression in animal models (41, 42). With the results of the in vitro TG accumulation assay, the supplement of this probiotic mixture may reduce lipid absorption in the small intestine and then reduce the lipid levels in blood. A lower serum lipid level may downregulate leptin secretion and then increase adiponectin levels. Leptin downregulation consequently resulted in downregulated TNF-α expression and ameliorated chronic inflammation. Adipose tissue inflammation increases the infiltration of M1 macrophage in the liver, and TNF-α is a potent pro-inflammatory mediator that is secreted by activated M1 macrophages (43). Obesity induces TNF-α elevation in the blood and liver (44). TNF-α elevation in the liver particularly influences the progression of non-alcoholic fatty liver disease (NAFLD) and results in liver damage (45). Higher incidences of abnormal GPT levels have been ascribed to the higher degree of obesity in children (46). In this study, the serum levels of GOT and GPT were responsive to treatment in both the placebo and probiotic groups. All of the participants received dietary fiber in their supplement, demonstrating the importance of fiber intake to liver health (47–49).
Ten years ago, the novel concept of “MicrObesity” (Microbes and Obesity) was proposed to address the specific role of dysbiosis and its impact on host metabolism and energy storage (50). Since then, more and more differences in the gut microbiota have been observed between obese and lean individuals. Decreased levels of the bacteria Bifidobacterium, Desulfovibrio, and Lactobacillus were reported to be associated with obesity in children (51), and high levels of Bacteroides fragilis (B. fragilis) and Escherichia coli (E. coli) were found in overweight/obese children (52). In this study, Bifidobacterium (CP-9) and Lactobacillus (bv-77 and AP-32) supplementation increased their populations in the gut and elevated the abundance of Desulfovibrio, which was not included in the probiotic package, unexpectedly. Although the role of Desulfovibrio in human health remains controversial and may be age-related (51), more studies are required to verify whether the effect of Desulfovibrio was species-specific (53). Moreover, lower levels of B. fragilis and E. coli, whose abundances were positively correlated with obesity, were observed in the probiotic group. In short, the probiotic intervention was able to modulate the gut microbiota and reshape dysbiosis in overweight/obese children.
Many studies have suggested that the function and efficacy of multi-strain probiotic supplements should be superior to mono-strain ones, demonstrating synergy among strains (54). The multi-strain probiotic supplement used in this trial contained three species from two genera. The effects of mono- (AP-32, bv-77, or CP-9) and multi-strain (AP-32/bv-77/CP-9) probiotic supplementations have been previously investigated in obese rats (14). Consistent with the animal study, improved blood lipid profiles and gut microbiota modulation was observed in the subjects of this trial who received multi-strain probiotics. In terms of the blood lipid profile, the improvement was indistinguishable among the animals receiving mono- and multi-strains over the course of 4 weeks. However, the amelioration of weight gain and the modulation of the gut microbiota were more effective in animals receiving multi-strain probiotics. For instance, the abundance of B. animalis was significantly increased by the multi-strain probiotics over the course of 4 weeks, but surprisingly, the increment achieved by the mono-strain supplement (i.e., B. animalis CP-9) was not significant due to wide variation in the results. We speculated that the multi-strain supplements containing Lactobacillus spp. (L. salivarius AP-32 and L. rhamnosus bv-77) created an optimal pH environment for probiotic colonization in the small intestine and promoted the better survival of the B. animalis subsp. lactis CP-9 in the large intestine. This hypothesis needs to be supported by further studies, such as in vivo bioluminescence imaging in whole animals after one oral administration (55). The mechanism of these additive effects is still far from clear and is believed to involve complicated networks of cell–cell interactions and communications known as quorum sensing (QS) (56). Although observations have found the association between the gut microbiota and metabolism, the evidence of strong linkages between specific bacteria and functional pathways remained rare. In our study, the analysis was focused on the correlation of the gut microbiota with lipid metabolism, and the results elucidated the role of Lactobacillus spp. and B. animalis in fat metabolism. Lactobacillus spp. was positively correlated with HDL and negatively correlated with TC and LDL. A meta-analysis revealed a significant reduction in TC using L. plantarum and a reduction in LDL-C using L. plantarum or L. reuteri (57). Two Lactobacillus strains, L. salivarius AP-32 and L. rhamnosus bv-77, were included in our multi-strain probiotic blend, and further studies will be needed to verify their specific roles in lipid profiling. Our results also showed a positive correlation between the abundance of B. animalis in the gut microbiota and serum HDL and adiponectin. Several beneficial effects on inflammatory and oxidative biomarkers were seen in healthy subjects and metabolic syndrome patients received B. lactis HN019 supplementation (58). In other words, our results indicate that Lactobacillus spp. had more of an impact on the blood lipid profile, while B. animalis had more of an impact on anti-inflammation. Our results reveal the delicate differences between different bacteria and provide insight into the synergy of probiotic strains in the host. Taken together, this clinical study demonstrated that a well-designed multi-strain probiotic supplement can exert synergistic effects and regulate metabolism from more comprehensive aspects.
Ether lipids are major polar lipids in the cell envelope and play potential roles in cellular functions, such as membrane homeostasis and membrane trafficking. Ether lipids can affect cholesterol homeostasis, and crosstalk between the two metabolic pathways was proposed (59). A group of ether-linked lipids has been reported to be elevated in morbidly obese humans (60). In this study, ether lipid metabolism was positively associated with total cholesterol and LDLs. Intriguingly, Lactobacillus spp. displayed a negative association with ether lipid metabolism. Elevated TC and LDL levels were associated with a higher risk of coronary heart disease, Alzheimer’s disease, and mild cognitive impairment (61, 62). Therefore, supplementation with the multi-strain probiotic blend elevated Lactobacillus spp. in the gut microbiota and potentially reduced the risk of dyslipidemia-related diseases.
Other than the ether lipid metabolism pathway, the correlation analysis indicated the induction of signal transduction via intervention in the probiotic group. Compared to the placebo groups, the functional pathway of the transduction factors was also significantly induced in the probiotic group. Signal transduction is a series of molecular events by which a chemical or physical signal is transmitted through a cell and ultimately results in a cellular response. During the signal transduction process, the activity of nuclear transcription factors is carefully modulated to exert a precise cellular response (63). Energy metabolism regulation requires the activation of the corresponding signal transduction pathways. For instance, extra-cellular insulin regulates sugar metabolism by activating the cascade of intra-cellular phosphatases and substrates (64). Therefore, part of signal transduction activation may be due to fat metabolism modulation. Notably, the probiotic supplement also affected other functional pathways, such as the biosynthesis of antibiotics and drug metabolism. Moreover, lower levels of B. fragilis and E. coli were observed in the probiotic group. Based on the results, further studies investigating the immune response pathways against pathogens are recommended.
There were some key limitations including diet and exercise which were not strictly recorded during the clinical trial. They are also confounding factors that may impact the composition of gut microbiota. For instance, the ratio of Bacteroides and Prevotella can be modulated by a diet high in animal protein and saturated fat or a plant-based diet rich in fiber and simple carbohydrates (65). Exercise is supposed to reduce inflammatory infiltration but increase microbial diversity in the gut (66). Our results showed that the abundance of Bacteroides was reduced in both groups, implicating that the subjects of both two groups might take a more plant-based diet according to the diet guidance and no significant impact of the diet on gut microbiota was observed between them. Although TNF-α was reduced in the probiotic group, gut microbial diversity was not affected in both groups. This result might indicate that the subjects of both groups might not take enough exercise to impact their gut microbial diversity. Further studies with well-designed diet and exercise courses will be warranted to demonstrate the real effectiveness of the multi-strain probiotics against obesity. In addition, functional ingredients contained 300 mg of white kidney bean extract, 100 mg of psyllium husk, and 100 mg of garcinia cambogia extract per package used in our study. Although these ingredients were reported to modulate gut microbiota (23–25), we could not clearly conclude their impacts on gut microbiota and weight control when in combination. The amounts used in this study might be not high enough to observe the impacts on weight control and on alterations of gut microbiota such as Prevotella and Streptococcus in mice as well as Veillonella and Subdoligranulum in humans (23–25). For example, a daily supplement of 7 g psyllium husk can increase Veillonella but decrease Subdoligranulum in healthy adults (67). On the other hand, although we evenly allocated participants according to their physical measures, the bias of different systolic blood pressures occurred between groups before the intervention. The higher systolic blood pressure may reflect a poor cardiovascular condition and a different type of microbiota dysbiosis from the probiotics group and thus may lead to a bias of the impacted alterations of gut microbiota in the placebo group when compared to the probiotic group. Although we did not observe significant differences in the baseline of several microbial biomarkers in our study (Supplementary Figure 3) between the two groups, the extension of the allocation criteria to cardiovascular measures will be necessary to avoid bias when including high BMI participants in further study. It is eventually noted the possibility of a pair of variables that show a significant p-value with no biological association due to aleatory phenomena when comparing the 16S rRNA sequencing. A stricter significance threshold for individual comparisons will be required. In our case, the elevation of Bifidobacterium animalis displayed a statistical significance with both p- and q-values (adjusted p-value by FDR) less than 0.05. However, in the case of Lactobacillus spp., a p-value less than 0.05 was presented by using a loose threshold, but a q-value represented higher than 0.05 using a strict threshold. Therefore, the former statistical significance can be included and interpreted.
In conclusion, the probiotic blend of L. salivarius AP-32, L. rhamnosus bv-77, and B. animalis CP-9 (1: 1: 8) enhanced the effect of functional ingredients and displayed a greater influence on improving lipid metabolism. The probiotic supplement was able to modulate the gut microbiota and consequently improve the blood lipid profile, alleviate low-grade inflammation, and reduce body weight in overweight/obese subjects. However, the dietary supplement demonstrated limitations in terms of weight loss, with BMI reductions of less than 5% after the 3-month intervention. Weight loss is not easy, and better outcomes can make it easier for people to maintain their motivation to lose weight. Future studies combining diet control and exercise programs are suggested to evaluate the facilitating effects of probiotic supplements on weight loss.
Data availability statement
The original contributions presented in this study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.
Ethics statement
The studies involving human participants were reviewed and approved by the CMUH105-REC2-096 – China Medical University Hospital. Written informed consent to participate in this study was provided by the participants or their legal guardian/next of kin. Written informed consent was obtained from the minor(s)’ legal guardian/next of kin for the publication of any potentially identifiable images or data included in this article.
Author contributions
Y-TY and H-CL contributed equally to the conception and design of the study. A-CC and T-JF contributed equally to this work. A-CC, T-JF, H-HH, J-FC, Y-WK, and Y-YH organized the database. S-YT and S-FW performed the statistical analysis. A-CC and T-JF wrote the first draft of the manuscript. H-HH, J-FC, Y-WK, and Y-YH wrote sections of the manuscript. All authors contributed to the manuscript revision, read, and approved the submitted version.
Funding
This study was supported by the grants from China Medical University Hospital (DMR-108-047) and Asia University Hospital (ASIA-109-51014). The open access publication fee was supported by Glac Biotech, Co., Ltd.
Conflict of interest
H-HH, J-FC, Y-WK, Y-YH, and S-YT were employed by Glac Biotech Co., Ltd.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnut.2022.922993/full#supplementary-material
Footnotes
- ^ https://www.microbiomeanalyst.ca/MicrobiomeAnalyst/upload/OtuUploadView.xhtml
- ^ http://huttenhower.sph.harvard.edu/galaxy/
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Keywords: childhood obesity, probiotics, gut microbiota, high-density lipoprotein (HDL), adiponectin
Citation: Chen A-C, Fang T-J, Ho H-H, Chen J-F, Kuo Y-W, Huang Y-Y, Tsai S-Y, Wu S-F, Lin H-C and Yeh Y-T (2022) A multi-strain probiotic blend reshaped obesity-related gut dysbiosis and improved lipid metabolism in obese children. Front. Nutr. 9:922993. doi: 10.3389/fnut.2022.922993
Received: 18 April 2022; Accepted: 01 July 2022;
Published: 04 August 2022.
Edited by:
Carlos Gómez-Gallego, University of Eastern Finland, FinlandReviewed by:
Gabriel Vinderola, Universidad Nacional del Litoral (FIQ-UNL), ArgentinaJunling Shi, Northwestern Polytechnical University, China
Copyright © 2022 Chen, Fang, Ho, Chen, Kuo, Huang, Tsai, Wu, Lin and Yeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Hung-Chih Lin, d0373@mail.cmuh.org.tw; Yao-Tsung Yeh, glycosamine@yahoo.com.tw
†These authors have contributed equally to this work