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Microbes & Immunity                                                                Probiotics & obesity



              Gut microbiota analysis revealed a decrease in   intervention consisted of a hypocaloric diet supplemented
            Megamonas and an increase in Parabacteroides, which were   with yogurt containing L. acidophilus LA-5 and B. lactis
            linked to changes in body composition. Limitations of the   BB-12. The results showed no significant differences in
            study included the absence  of a placebo group, a small   weight reduction or anthropometric measures (e.g., BMI,
            sample size, short duration, and a lack of measurements for   waist circumference, visceral adipose tissue) between the
            fecal SCFAs and serum zonulin. Further research is needed   probiotic and control groups, consistent with findings
            to explore the role of Parabacteroides, its effects on type 2   from similar prior studies. 24
            diabetes, and its long-term benefits in larger, more diverse   Potential benefits on lipid profiles, insulin sensitivity,
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            populations.  In the study conducted by Michael et al.,    and  immune  responses  were  noted,  although  variability
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            the combination of L. acidophilus CUL60 and CUL21, L.   in results may be attributed to differences in probiotic
            plantarum CUL66, B. bifidum CUL20, and Bifidobacterium   strain survivability, yogurt manufacturing conditions, and
            animalis  subsp.  lactis  CUL34 resulted  in clinically   participant adherence. Limitations of the study included a
            significant weight reduction in 40% of overweight adults in
            the treatment group, with 70% achieving at least a 3% weight   small sample size (particularly among males), a short study
            loss over 9 months.  A weight loss of 5% or more, linked   duration, and uncertainties regarding adherence to yogurt
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            to improvements in glycemic index and plasma lipid levels,   consumption and  the  viability  of  live  probiotics  due to
            highlights the study’s promising results. The study involved   transport and storage conditions. Future research should
            70 overweight Bulgarian adults (BMI 25 – 29.9), with half   focus on longer study durations, larger and more diverse
            receiving 50 billion CFU/day for 9 months. Notably, the   populations, and controlled conditions. In addition,
            placebo group showed no significant difference in weight   it is crucial to investigate probiotic survivability and
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            loss  during  the  first  6  months  but  experienced  weight   functionality within the gastrointestinal environment.
            gain between months 6 and 9, possibly due to holiday-  A study by Khan  et  al.  investigated the effects of a
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            related factors. Meanwhile, the treatment group sustained   dairy-based multi-strain probiotic community (MSPC) on
            favorable outcomes, showing statistically significant effects   obesity-related gut microbiota using an in vitro CoMiniGut
            during the latter period. This underscores the potential   intestinal model. The MSPC consists of 19 lactic acid
            of the probiotic combination as a therapeutic agent for   bacteria strains including Lactobacillus and Bifidobacterium
            obesity-related metabolic disorders. 22            strains. The study showed that MSPC reduced harmful
              A 24-week study by Kanazawa et al.  assessed the effects   bacteria in lean samples and increased beneficial ones in
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            of a symbiotic comprising Lacticaseibacillus paracasei strain   obese samples, improving microbial diversity. The findings
            Shirota (LcS), Bifidobacterium breve strain Yakult (BbrY),   suggest MSPC’s potential for addressing obesity-related
            and galactooligosaccharides (GOS) in obese patients with   gut dysbiosis, though further research is needed. 25
            type 2 diabetes mellitus. The study included a control group   Table 2 summarizes the effects of various Lactobacillus
            and a synbiotic group, with data collected at baseline,   strains on parameters including BMI, weight, visceral fat,
            12 weeks, and 24 weeks. Key findings showed a significant   blood glucose, SUA, lipid profiles, SCFAs, gut microbiota
            increase in Bifidobacteriaceae, particularly Bifidobacterium   diversity, and epithelial barrier integrity, highlighting the
            adolescentis and  Bifidobacterium pseudocatenulatum, as   strain-specific impacts on metabolic and inflammatory
            well as elevated fecal acetic, butyric, and lactic acid levels in   biomarkers.
            the synbiotic group at 24 weeks. Decreases were observed
            in bacterial families such as Bacteroidaceae, Marinifilaceae,   4. Discussion
            Fusobacteriaceae, and  Monoglobaceae. However, no   Each  study  included  in  this  review  examines  various
            significant differences were noted in inflammatory   parameters  to  assess  the  effectiveness  of  probiotics  in
            markers or glycemic control (HbA1c) between the groups.   addressing obesity and its related metabolic disorders.
            The  study  highlighted  research  gaps,  including  the  lack   These parameters commonly include BMI, waist
            of evidence on synbiotics’ effects on gut barrier function,   circumference, visceral adiposity (with some studies also
            plasma inflammatory markers (e.g., tumor necrosis   evaluating hepatic fat to assess the risk of hepatosteatosis),
            factor-alpha [TNF-α]), and bacterial translocation to the
            blood. Future research should explore these aspects to   body weight, fasting blood glucose levels, SUA, SCFAs, and
            better understand the impact of synbiotics on metabolic   gut dysbiosis.
            and immune responses in patients with type  2 diabetes   BMI, which is calculated as the ratio of weight to
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            mellitus.  Banach  et al.  conducted a 12-week study   height (kg/m ), is commonly used as an indicator of risk
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            involving 54 obese participants, who were divided   for cardiometabolic diseases like obesity.  Obesity is
                                                                                                  1,20
            into subgroups matched for height, age, and BMI. The   associated  with  comorbidities  such  as  cardiovascular
            Volume 2 Issue 2 (2025)                         40                               doi: 10.36922/mi.8358
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