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Microbes & Immunity                                                                Probiotics & obesity



            sole indicator of metabolic diseases.  Other important   A reduction in BMI  and weight  was observed  in a
                                           1
            factors to consider include waist circumference and visceral   study using a combination of 9 strains, namely B. bifidum
            fat area (VFA).  Increased waist circumference, resulting   W23,  B. lactis W51,  B. lactis W52,  L. acidophilus W37,
                        1,19
            from excess adipose tissue, is positively associated with   Levilactobacillus  brevis W63,  Lacticaseibacillus  casei
            weight-related cancers, including colon, post-menopausal   W56, Ligilactobacillus salivarius W24, L. lactis W19, and
            breast, endometrial, and pancreatic cancers.  VFA, which   L. lactis W58.  A significant reduction in weight, BMI,
                                               26
                                                                          20
            measures adipose tissue around internal organs, is a critical   waist circumference, fasting glucose, fasting insulin
            indicator, as its accumulation is linked to obesity-related   HOMA-IR in a study using B. longum BB536, L. rhamnosus
            metabolic disorders. In contrast, subcutaneous adipose   HN001 for 26 measured breast cancer survivors. However,
            tissue does not show a significant positive relationship   the small sample size of this study may affect the quality of
            with these disorders and  is not considered a  major risk   analysis concluded. 27
                 19
            factor.  Excess adipose tissue accumulation found on the   Michael et al.  found that the probiotic combination
                                                                             22
            liver leads to hepatic steatosis and is measured in studies   Lab4P, consisting of L. acidophilus CUL60, L. acidophilus
            involving mice. 6,13,14,17,18                      CUL21,  L. plantarum CUL66,  B. bifidum CUL20, and
              The relationship between SUA and VFA is intriguing   B. animalis subsp. lactis CUL34, significantly reduced body
            but not yet fully understood. An increase in VFA is often   weight, waist and hip circumference, and blood pressure
            accompanied by a rise in SUA, potentially as a mediating   in  overweight  Bulgarian  adults.  This  suggests  Lab4P’s
            response. Since elevated VFA is linked to hypertension,   potential as an effective probiotic for managing obesity
            cardiovascular disease, and diabetes, SUA has emerged   and related metabolic risks.  The microbial diversity
                                                                                       22
            as a biomarker for these risks due to its apparent positive   increase as the  Firmicutes/Bacteroidetes ratio decrease
            correlation.  Lactobacillus probiotics, which synthesize   in both low-dose and high-dose probiotic groups in the
                                                                                  28
            enzymes that degrade SUA, may help mitigate its effects   study by Tremblay et al.  using the following combination:
            and reduce VFA. Similarly, Bifidobacterium probiotics have   L. helveticus R0052, L. rhamnosus R0011, L. casei R0215,
            been shown to decrease both VFA and SUA, leading to   Pediococcus acidilactici R1001, B. breve R0070, B. longum
            favorable outcomes. Consequently, combinations of these   ssp. longum BB536, L. plantarum R1012, and L. lactis ssp.
            probiotics are commonly used to support metabolic health   lactis R1058. Since this study focused on the adverse effects
            in patients.  However, a challenge remains in identifying   and safety of high-dose probiotic administration, the other
                     19
            the specific probiotic strains that are most effective for a   factors measured are not relevant to this paper.  A study
                                                                                                     28
                          6,19
            broad population.  The domino effect observed in many   showed that yogurt containing  L. acidophilus LA-5 and
            studies suggests that the addition of Lactobacillus and/or   B. lactis BB-12 did not significantly reduced body weight,
            Bifidobacterium increases the abundance of the phylum   BMI, or waist circumference in obese individuals on a
            Bacteroidetes (Bacteroidata), which in turn enhances gut   hypocaloric diet. Despite the absence of improvements in
            biodiversity and promotes the production of SCFAs. 6,11,13    anthropometric parameters, the study suggested potential
            SCFAs – specifically butyrate, propionate, and acetate –   benefits for lipid profiles and insulin sensitivity. The lack of
            help mitigate the harmful effects of accumulated visceral   effectiveness may be due to probiotic strain survivability
            adipose tissue on the liver. Acetate, in particular, binds to   and participant adherence. 24
            SCFA receptors, which may lead to the downregulation of
            lipogenic genes. This simplified mechanism offers insight   5. Limitations
            into the positive effects of probiotics, with speculation that   This systematic review provides valuable insights but
            these processes could help reduce insulin resistance. As   has limitations and unresolved key issues that must be
            a result, SCFAs are increasingly being measured as a key   acknowledged. Addressing the challenges outlined below
            parameter in obesity treatment. 6                  through standardized methodologies and larger, well-
              As mentioned previously, an increase in the phylum   controlled studies is essential for improving the reliability
            Bacteroidetes is associated with positive effects, alongside a   and applicability of the findings.
            decrease in Firmicutes. The relationship between these two   Study heterogeneity.  The variability in sample
            phyla plays a crucial role in dysbiosis, which refers to an   populations, methodologies, and intervention designs
            imbalance of species within the gut microbiota. Dysbiosis,   makes  direct  comparisons challenging.  As  discussed by
            often  characterized  by  the  Firmicutes/Bacteroidetes  ratio,   Glasziou and Sanders,  differences in study protocols
                                                                                  29
            has been used as a parameter to assess the diversity of   can lead to inconsistencies in reported outcomes. This
            species in the gut, particularly in the context of obesity and   heterogeneity ultimately limits the generalizability of the
            metabolic health. 9,13,18                          findings.


            Volume 2 Issue 2 (2025)                         42                               doi: 10.36922/mi.8358
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