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18 pages, 301 KiB  
Article
Survivability of Probiotic Microflora in Fermented and Non-Fermented Mare’s Milk: A Comparative Study
by Anna Mituniewicz-Małek, Małgorzata Ziarno, Izabela Dmytrów and Katarzyna Szkolnicka
Appl. Sci. 2025, 15(2), 862; https://doi.org/10.3390/app15020862 - 16 Jan 2025
Viewed by 434
Abstract
This study discusses the properties of mare milk as a potential food matrix to produce functional dairy products. The aim of this study was to investigate the effects of cold storage on the viability of microflora in fermented and unfermented mare’s milk, containing [...] Read more.
This study discusses the properties of mare milk as a potential food matrix to produce functional dairy products. The aim of this study was to investigate the effects of cold storage on the viability of microflora in fermented and unfermented mare’s milk, containing live monocultures of probiotic bacteria, during storage at low temperatures. Three fermented beverages were produced, differentiated by the bacterial flora used for production (Lactobacillus acidophilus LA-5 and Bifidobacterium animalis subsp. lactis BB-12), as well as one unfermented beverage (using 40% commercial kumis and 7% LA-5). The unfermented beverage was mare’s milk supplemented with a BB-12 monoculture, which was chilled immediately after adding the inoculum. The population of BB-12 remained above 6 log CFU/g until the 21st day of storage at 5 ± 1 °C, while for LA-5, it remained viable only up to 14 days of storage. The BB-12 population was high and stable for 21 days in both fermented and unfermented beverages. The results confirm the good quality of the final product (appropriate pH and high population of individual bacterial strains); not only are appropriate culture conditions important, but the use of suitable probiotic bacteria and the optimization of the starter concentrations should also be considered. There is considerable potential for further research and future commercialization of mare’s dairy products, such as yogurt and potentially other dairy products. Full article
(This article belongs to the Special Issue Innovation in Dairy Products)
9 pages, 1091 KiB  
Communication
Inhibitory Effect of Probiotic Metabolites on Seborrheic Dermatitis and Acne-Related Pathogenic Bacteria
by Qingpeng Meng, Ciying Xiao, Zejian Wang and Yazhuo Shang
Cosmetics 2025, 12(1), 3; https://doi.org/10.3390/cosmetics12010003 - 31 Dec 2024
Viewed by 753
Abstract
The topical application of probiotic metabolites has shown positive effects in the treatment of skin diseases; however, the effectiveness is strain dependent. Comparing the pathogen inhibitory effects of probiotic strains with different genetic backgrounds and analyzing their key metabolites can provide insights about [...] Read more.
The topical application of probiotic metabolites has shown positive effects in the treatment of skin diseases; however, the effectiveness is strain dependent. Comparing the pathogen inhibitory effects of probiotic strains with different genetic backgrounds and analyzing their key metabolites can provide insights about the potential of applying probiotics for skincare. In this study, we investigated the fermentation growth inhibition of 18 commercial probiotic strains on the skin pathogens Malassezia furfur (M. furfur) and Cutibacterium acnes (C. acnes) in vitro. We found that most Bifidobacterium animalis subsp. lactis (B. lactis) and Lacticaseibacillus rhamnosus (L. rhamnosus) strains exhibited strong inhibition of M. furfur and C. acnes, which lasted up to 100 h. The main antibacterial metabolites observed were molecules below 10,000 Da in molecular weight, including peptides and organic acids (lactic acid, acetic acid, propionic acid, and butyric acid). The synergistic effect of organic acid combinations lowered the minimum inhibitory concentration (MIC). The composition of these antimicrobial metabolites varied among strains, which demonstrated the strain-dependent pathogenic inhibitory effects. This study provides insights into the application potential of using probiotic metabolites against seborrheic dermatitis and acne-related pathogenic bacteria. Full article
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<p>Schematic illustration of the study on the inhibitory effect of probiotic metabolites on seborrheic dermatitis and acne-associated pathogenic bacteria.</p>
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<p>(<b>a</b>) The 0–72 h growth inhibition of the six samples on <span class="html-italic">M. furfur</span>. Sample 1: crude protein extract of Bi-07; Sample 2: crude protein extract of HN019; Sample 3: crude supernatant extract of B420; Sample 4: crude supernatant extract of Bi-07; Sample 5: crude supernatant extract of HN019; Sample 6: crude supernatant extract of Lp-115; Sample 7: positive control. (<b>b</b>) The 0–72 h growth inhibition of six samples on <span class="html-italic">C. acnes</span>. Sample 1: crude protein extract of B420; Sample 2: crude supernatant extract of Bi-07; Sample 3: crude supernatant extract of HN019; Sample 4: positive control.</p>
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<p>(<b>a</b>) The 0–72 h growth inhibition of <span class="html-italic">M. furfur</span>. (<b>b</b>) The 0–72 h growth inhibition of <span class="html-italic">C. acnes</span>. Samples 1 to 4 contained only the organic acids found in the supernatants of the four strains 1-B420, 2-Bi07, 3-HN019, and 4-Lp115, respectively, as determined via HPLC analysis. Sample 5 was the assay control.</p>
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17 pages, 1467 KiB  
Article
Effect of the Bifidobacterium animalis Subsp. Lactis, BB-12® on Cronobacter sakazakii Growth in Infant Formulas with Different Acid-Buffering Capacities
by Anthimia Batrinou, Efstathia Tsakali, Vassilia J. Sinanoglou, Polyvakidi Maria Eleni, Katerina Pyrovolou, Arhontoula Chatzilazarou and Spyros J. Konteles
Appl. Sci. 2025, 15(1), 124; https://doi.org/10.3390/app15010124 - 27 Dec 2024
Viewed by 443
Abstract
The opportunistic pathogenic bacterium C. sakazakii poses a significant infection risk to infants through contaminated powdered infant formulae (PIFs) when proper hygiene and temperature control are neglected during reconstitution. This study aimed to investigate whether the acid-buffering capacity (ABC) of commercially available PIFs [...] Read more.
The opportunistic pathogenic bacterium C. sakazakii poses a significant infection risk to infants through contaminated powdered infant formulae (PIFs) when proper hygiene and temperature control are neglected during reconstitution. This study aimed to investigate whether the acid-buffering capacity (ABC) of commercially available PIFs enriched with the probiotic strain Bifidobacterium animalis subsp. lactis (BB-12®) could influence the growth of C. sakazakii. Two PIFs differing in their ABC were reconstituted (RIF), inoculated, and incubated in monoculture and co-culture at 22 °C and 37 °C for 24 h. After 24 h of incubation at 22 °C, regardless of the ABC type of PIF, the population of C. sakazakii in the monoculture was approx. 1.4 log cycles higher than the inoculum, while, in the co-culture, the C. sakazakii count was approx. 0.34 log cycles lower. In contrast, at 37 °C during the 24 h co-culture in the lower ABC infant formula, C. sakazakii was <10 CFU/mL. In all co-culture samples, the pH was significantly lower (p < 0.05) in the PIF with the lower ABC. An analysis of the weak organic acids at 12 and 24 h of incubation revealed that the antimicrobial activity is significantly affected by the final pH value, the type of the weak organic acids, and their ionic–non-ionic ratio, which is formed through the common ion effect. Full article
(This article belongs to the Section Food Science and Technology)
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<p>Diagrammatic representation of the sample preparation.</p>
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<p>Acid-buffering capacity (ABC) of two reconstituted infant formulae (RIF-1 and RIF-2) as a function of incremental HCl (μΜ) addition.</p>
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<p>(<b>a</b>) Cell counts of <span class="html-italic">Cronobacter sakazakii</span> (Sak) and <span class="html-italic">Bifidobacterium animalis</span> subsp. <span class="html-italic">lactis</span> BB-12<sup>®</sup> in two reconstituted infant formulae (RIFs) with different acid-buffering capacities—lower buffering capacity (LBC for RIF-1) and higher buffering capacity (HBC for RIF-2)—during 24 h of incubation at 22 °C. The <span class="html-italic">C. sakazakii</span> was grown either in monoculture (Mc) or in co-culture (Cc) with the probiotic BB-12<sup>®</sup>, and (<b>b</b>) corresponding pH changes in the respective samples during the incubation period.</p>
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<p>(<b>a</b>) Cell counts of <span class="html-italic">Cronobacter sakazakii</span> (Sak) and <span class="html-italic">Bifidobacterium animalis</span> subsp. <span class="html-italic">lactis</span> BB-12<sup>®</sup> in two reconstituted infant formulae (RIFs) with different acid-buffering capacities—lower buffering capacity (LBC for RIF-1) and higher buffering capacity (HBC for RIF-2)—during 24 h of incubation at 22 °C. The <span class="html-italic">C. sakazakii</span> was grown either in monoculture (Mc) or in co-culture (Cc) with the probiotic BB-12<sup>®</sup>, and (<b>b</b>) corresponding pH changes in the respective samples during the incubation period.</p>
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<p>(<b>a</b>) Cell counts of <span class="html-italic">Cronobacter sakazakii</span> (Sak) and <span class="html-italic">Bifidobacterium animalis</span> subsp. <span class="html-italic">lactis</span> BB-12<sup>®</sup> in two reconstituted infant formulae (RIFs) with different acid-buffering capacities—lower buffering capacity (LBC) and higher buffering capacity (HBC)—during 24 h of incubation at 37 °C. The <span class="html-italic">C. sakazakii</span> was grown either in monoculture (Mc) or in co-culture (Cc) with the probiotic BB-12<sup>®</sup>, and (<b>b</b>) corresponding pH changes in the respective samples during the incubation period.</p>
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25 pages, 7612 KiB  
Article
Development of Alginate Composite Microparticles for Encapsulation of Bifidobacterium animalis subsp. lactis
by Marko Vinceković, Lana Živković, Elmira Turkeyeva, Botagoz Mutaliyeva, Galiya Madybekova, Suzana Šegota, Nataša Šijaković Vujičić, Anđela Pustak, Tanja Jurkin, Marta Kiš and Sanja Kajić
Gels 2024, 10(11), 752; https://doi.org/10.3390/gels10110752 - 19 Nov 2024
Viewed by 2643
Abstract
The probiotic bacterium Bifidobacterium animalis subsp. lactis BB-12 (BB-12) was encapsulated in two composites, alginate/agar and alginate/agar/casein. The network structure and physicochemical properties of these composites are influenced by complex interactions, including hydrogen bonding, electrostatic forces between biopolymers, calcium ions, and the encapsulated [...] Read more.
The probiotic bacterium Bifidobacterium animalis subsp. lactis BB-12 (BB-12) was encapsulated in two composites, alginate/agar and alginate/agar/casein. The network structure and physicochemical properties of these composites are influenced by complex interactions, including hydrogen bonding, electrostatic forces between biopolymers, calcium ions, and the encapsulated bacteria. The composites demonstrated a granular surface, with the granules being spatially oriented on the alginate/agar/BB-12 surface and linearly oriented on the alginate/agar/casein/BB-12 surface. They possess a highly organized microparticle structure and exhibit viscoelastic solid-like behavior. The alginate/agar/BB-12 composite showed higher storage modulus, shear stress, and shear strain values, indicating enhanced stability in various physical environments. Both composites displayed good thermal stability, aligning with their rheological properties, confirming their well-ordered structures. Despite differences in composite structures, the release mechanism of bacteria is governed by Fickian diffusion through the composite matrix. Based on physicochemical properties, the alginate/agar/casein composite is recommended for dairy product fermentation, while the alginate/agar composite seems more suitable for oral use. These findings provide new insights into the interactions between bacterial cultures and alginate composite ingredients. Full article
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Graphical abstract

Graphical abstract
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<p>OM microphotographs of (<b>a</b>) BB-12 colony and (<b>b</b>) Gram-stained BB-12 cells, and (<b>c</b>) SEM microphotograph and (<b>d</b>) EDS semi-quantitative analysis of BB-12 cells (expressed in the atomic weight percent). The scale bars are indicated on each image.</p>
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<p>AFM micrographs of BB-12 cells. Visualization of the surface topography and morphology of the cells. (<b>A</b>) Topographic image; (<b>B</b>) section profile across the marked line; (<b>C</b>) amplitude image on a scan area of 5 × 5 μm<sup>2</sup>; (<b>D</b>) topographic image; (<b>E</b>) section profile across the marked line; (<b>F</b>) amplitude image on a scan area of 2 × 2 μm<sup>2</sup>. The scale bars are indicated on each image.</p>
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<p>Changes in the mean hydrodynamic diameter (d) and shape of BB-12 colonies with calcium chloride concentration (c(CaCl<sub>2</sub>). Error bars indicate the standard deviation of the means. Inserted microphotographs depict changes in colony shape.</p>
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<p>Change in (<b>a</b>) zeta potential (ζ) and (<b>b</b>) size (d) of BB-12 cell aggregates with increasing CaCl<sub>2</sub> concentration. Error bars indicate the standard deviation of the means.</p>
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<p>FTIR spectrum of (<b>a</b>) single components: BB-12 (black line), CA (red line), agar (blue line), SA (green line), and (<b>b</b>) microparticles, and (<b>b</b>) ALG/Ca (black line), Sample 1 (red line), Sample 2 (blue line) and Sample 3 (green line).</p>
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<p>SEM microphotographs of Sample 0 (<b>a</b>,<b>b</b>), Sample 1 (<b>c</b>,<b>d</b>), Sample 2 (<b>e</b>,<b>f</b>) and Sample 3 (<b>g</b>,<b>h</b>). BB-12 cells located on the surface of microparticles are denoted by red lines. The scale bars are indicated on each image.</p>
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<p>SEM microphotographs of Sample 0 (<b>a</b>,<b>b</b>), Sample 1 (<b>c</b>,<b>d</b>), Sample 2 (<b>e</b>,<b>f</b>) and Sample 3 (<b>g</b>,<b>h</b>). BB-12 cells located on the surface of microparticles are denoted by red lines. The scale bars are indicated on each image.</p>
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<p>AFM micrographs of microparticles Sample 0 (<b>A</b>), Sample 1 (<b>B</b>), Sample 2 (<b>C</b>) and Sample 3 (<b>D</b>) with 3D topographic images of height data (<b>top</b> view), section analysis profiles (<b>right</b>) along labeled lines (<b>left</b>) and amplitude images (<b>top</b> view) of microparticles. The scale bars are indicated on each image.</p>
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<p>Amplitude sweep tests (G′ (■) and G″ (▲) values) of Sample 0 (red), Sample 1 (black), Sample 2 (blue) and Sample 3 (green) determined at a constant angular frequency of 5 rad/s at 23 °C.</p>
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<p>(<b>a</b>) Frequency sweep test (G′ (■) and G″ (▲) values) and (<b>b</b>) complex viscosity (ƞ*) and loss factor (tan δ) of Sample 0 (red), Sample 1 (black), Sample 2 (blue) and Sample 3 (green) determined at a strain of 0.1% at 23 °C.</p>
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<p>Time-dependent strain variation during both the creep and creep recovery tests for Sample 0 (red), Sample 1 (black), Sample 2 (blue) and Sample 3 (green) at 23 °C.</p>
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<p>DSC curves of Sample 0 (red line), Sample 1 (black line), Sample 2 (blue line) and Sample 3 (green line) at a heating rate of 10°/min (the first heating cycle and cooling cycle).</p>
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<p>Fraction of released BB-12 cells (f<sub>BB-12</sub>) from composites with time (t). Error bars indicate the standard deviation of the means. Samples are denoted.</p>
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11 pages, 490 KiB  
Article
The Impact of Probiotics on Clinical Symptoms and Peripheral Cytokines Levels in Parkinson’s Disease: Preliminary In Vivo Data
by Luca Magistrelli, Elena Contaldi, Annalisa Visciglia, Giovanni Deusebio, Marco Pane and Angela Amoruso
Brain Sci. 2024, 14(11), 1147; https://doi.org/10.3390/brainsci14111147 - 15 Nov 2024
Viewed by 987
Abstract
Introduction. Previous studies have shown that probiotics have positive effects on both motor and non-motor symptoms in Parkinson’s disease (PD). Additionally, in preclinical settings, probiotics have demonstrated the ability to counteract neuronal loss and alpha-synuclein aggregation, important pathological hallmarks of PD. Notably, preliminary [...] Read more.
Introduction. Previous studies have shown that probiotics have positive effects on both motor and non-motor symptoms in Parkinson’s disease (PD). Additionally, in preclinical settings, probiotics have demonstrated the ability to counteract neuronal loss and alpha-synuclein aggregation, important pathological hallmarks of PD. Notably, preliminary in vitro studies have revealed the immunomodulatory properties of probiotics. This study aims to evaluate the impact of probiotics on symptoms and peripheral cytokines levels in PD patients compared to placebo. Methods. Patients were enrolled and blindly randomized to receive either active probiotics (comprising Bifidobacterium animalis subsp. lactis BS01 LMG P-21384, Bifidobacterium longum BL03 DSM 16603, Bifidobacterium adolescentis BA02 DSM 18351, Fructo-oligosaccharides and Maltodextrin-Group A) or placebo (Maltodextrin-Group B). Clinical evaluations and plasma levels cytokines (TNF-α, IFN-γ, IL-6, and TGF-β) were also assessed at enrollment and after 12 weeks. Anti-parkinsonian therapy remained stable throughout the study. Results. Forty PD patients were recruited. After 12 weeks, Group A showed significant improvement in motor symptoms (UPDRS III: 13.89 ± 4.08 vs. 12.74 ± 4.57, p = 0.028) and non-motor symptoms (NMSS: 34.32 ± 21.41 vs. 30.11 ± 19.89, p = 0.041), with notable improvement in the gastrointestinal sub-item (3.79 ± 4.14 vs. 1.89 ± 2.54, p = 0.021). A reduction of IFN-γ levels was observed in both groups, but group A also showed a significant decrease in IL-6 and a slight increase in the anti-inflammatory cytokine TGF-β. Conclusions. Our data suggest that probiotics may modulate peripheral cytokines levels and improve clinical symptoms in PD patients. Probiotics may, therefore, represent a valuable adjunctive therapy to conventional anti-parkinsonian drugs. Full article
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<p>Schematic representation of the study protocol.</p>
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17 pages, 1127 KiB  
Article
Effect of Adding Winemaking By-Product on the Characteristics of Petit Suisse Cheese Made with A2A2 Milk and Probiotic
by Cláudia Moreira Santa Catharina Weis, Márcia Miss Gomes, Bárbara Geremia Vicenzi, Giovanna Alexandre Fabiano, Jean de Oliveira Lopes, Patrícia Daniele da Silva dos Santos, Luciano Tormen, Oscar Oliveira Santos, Rosangela Maria Neves Bezerra, Adriane Elisabete Costa Antunes, Larissa Canhadas Bertan, Giselle Nobre Costa and Ricardo Key Yamazaki
Fermentation 2024, 10(11), 570; https://doi.org/10.3390/fermentation10110570 - 8 Nov 2024
Viewed by 1610
Abstract
By-products generated in the winemaking industry contain compounds with health-promoting properties, which can be reintroduced into the food production chain. This study evaluated the use of a by-product from the industrial processing of grapes as an ingredient in the manufacture of Petit Suisse [...] Read more.
By-products generated in the winemaking industry contain compounds with health-promoting properties, which can be reintroduced into the food production chain. This study evaluated the use of a by-product from the industrial processing of grapes as an ingredient in the manufacture of Petit Suisse cheese, made with A2A2 milk and the addition of the probiotic Bifidobacterium animalis subsp. lactis HN019. Two Petit Suisse formulations were made in three independent batches: a control formulation without the addition of the by-product (F0) and a formulation containing 10% of the by-product (F1). The proximate composition of the cheeses was characterized on the first day after manufacturing them. The addition of the by-product led to an increase in ash, lipids, and carbohydrates and a reduction in moisture and protein contents. The physicochemical characterization and the texture profile analysis showed no changes throughout the product’s shelf life. The probiotic counts remained abundant (~eight log CFU/g) in both formulations with no changes seen throughout the shelf life period. Scanning electron microscopy images showed the added bacteria had typical structures. No differences were observed in the fatty acid profiles of the formulations, and both exhibited a total of 18 fatty acids, including saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), and polyunsaturated fatty acids (PUFAs). Additionally, the by-product conferred antioxidant activity to the F1 formulation. The addition of the by-product in fresh cheese may be an interesting approach in regards to the processing technology used, its microbiological safety, and its nutritional value. The use of A2A2 milk and a probiotic culture thus enhanced the Petit Suisse cheese, resulting in a healthier product. Full article
(This article belongs to the Special Issue Food Wastes: Feedstock for Value-Added Products: 5th Edition)
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<p>Manufacture of Petit Suisse.</p>
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<p>Scanning electron micrographs of the products. (<b>A</b>) F0 at 8000× magnification; (<b>B</b>) = F0 at 15,000× magnification; (<b>C</b>) = F1 at 8000× magnification; (<b>D</b>) = F1 at 15,000× magnification.</p>
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14 pages, 2300 KiB  
Article
Consumption of a Probiotic Blend with Vitamin D Improves Immunity, Redox, and Inflammatory State, Decreasing the Rate of Aging—A Pilot Study
by Judith Félix, Adriana Baca, Luz Taboada, Guillermo Álvarez-Calatayud and Mónica De la Fuente
Biomolecules 2024, 14(11), 1360; https://doi.org/10.3390/biom14111360 - 25 Oct 2024
Cited by 1 | Viewed by 1413
Abstract
There is evidence of the effect of probiotic intake on the immune system. However, the effect probiotics may have on the rate of aging is unknown. The aim of this study is to determine the effect of a probiotic blend on immunity, redox [...] Read more.
There is evidence of the effect of probiotic intake on the immune system. However, the effect probiotics may have on the rate of aging is unknown. The aim of this study is to determine the effect of a probiotic blend on immunity, redox state, inflammation, and the rate of aging or biological age. A group of 10 men and 14 women took, daily for 2 months, a sachet with three probiotics (Bifidobacterium animalis subsp. lactis BSO1, Lactobacillus reuteri LRE02, Lactobacillus plantarum LP14) and vitamin D. Before starting the treatment and after 2 months, peripheral blood was collected. Immune functions were assessed in isolated immune cells, and cytokine concentrations were also measured both in mononuclear cell cultures and plasma. Redox state parameters were also analyzed in whole blood cells. Finally, the Immunity Clock was applied to determine the biological age. Results show that the intake of this probiotic blend in general, in both men and women, improves immunity and decreases the oxidative and inflammatory state. In addition, it rejuvenates the biological age by 10 years on average. It can be concluded that this probiotic blend could be proposed as a good strategy to slow down the aging process, and to achieve healthy aging. Full article
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<p>Immune function in peripheral blood leukocytes of participants before and after probiotic blend intakes. (<b>A</b>) Phagocytic capacity of neutrophils. (<b>B</b>) Natural killer activity. (<b>C</b>) Lymphoproliferative response to PHA. (<b>D</b>) Biological age. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to the initial condition. PHA: Phytohemagglutinin; AU: Absorbance units.</p>
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<p>Cytokine concentrations (pg/mL) in mononuclear cell culture supernatants at the basal condition of participants before and after probiotic blend intakes. (<b>A</b>) TNF-α concentration. (<b>B</b>) IL-1β concentration. (<b>C</b>) IL-10 concentration. (<b>D</b>) TNF-α/IL-10 ratio. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to the initial condition.</p>
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<p>Cytokine concentrations (pg/mL) in mononuclear cell culture supernatants at the Phytohemagglutinin-stimulated condition of participants before and after probiotic blend intakes. (<b>A</b>) TNF-α concentration. (<b>B</b>) IL-1β concentration. (<b>C</b>) IL-10 concentration. (<b>D</b>) TNF-α/IL-10 ratio. *** <span class="html-italic">p</span> &lt; 0.001 compared to the initial condition. + <span class="html-italic">p</span> &lt; 0.05, ++ <span class="html-italic">p</span> &lt; 0.01, +++ <span class="html-italic">p</span> &lt; 0.001 compared to men at the same condition.</p>
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<p>Redox parameters in whole blood cells of participants before and after probiotic blend intakes. (<b>A</b>) Glutathione reductase activity. (<b>B</b>) Glutathione peroxidase activity. (<b>C</b>) Oxidized glutathione concentration. (<b>D</b>) GSSG/GSH ratio. GSH: reduced glutathione. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 compared to the initial condition. + <span class="html-italic">p</span> &lt; 0.05 compared to men in the same condition. GR: glutathione reductase activity; GPx: glutathione peroxidase activity; GSSG: oxidized glutathione.</p>
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<p>Cytokine concentrations (pg/mL) in plasma of participants before and after probiotic blend intakes. (<b>A</b>) TNF-α concentration. (<b>B</b>) IL-1β concentration. (<b>C</b>) IL-10 concentration. (<b>D</b>) TNF-α/IL-10 ratio. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 compared to the initial condition. + <span class="html-italic">p</span> &lt; 0.05 compared to men in the same condition.</p>
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14 pages, 895 KiB  
Article
Effect of Fermentation by Probiotic Bacteria on the Bioaccessibility of Bioactive Compounds from the Fruit of the Juçara Palm (Euterpe edulis Martius)
by Maria Thereza Carlos Fernandes, Fernanda Silva Farinazzo, Carolina Saori Ishii Mauro, Milena do Prado Ferreira, Marsilvio Lima de Moraes Filho, César Ricardo Teixeira Tarley, Karla Bigetti Guergoletto and Sandra Garcia
Fermentation 2024, 10(11), 541; https://doi.org/10.3390/fermentation10110541 - 23 Oct 2024
Viewed by 901
Abstract
The underexplored fruit from the juçara palm tree (Euterpe edulis Martius) has bioactive compounds with antioxidant activities, such as phenolic acids and anthocyanins. This fruit’s pulp presents itself as an appropriate fermentation medium for probiotic bacteria growth. Therefore, this study was conducted [...] Read more.
The underexplored fruit from the juçara palm tree (Euterpe edulis Martius) has bioactive compounds with antioxidant activities, such as phenolic acids and anthocyanins. This fruit’s pulp presents itself as an appropriate fermentation medium for probiotic bacteria growth. Therefore, this study was conducted to evaluate the effects of fermentation by Limosilactobacillus reuteri LR92 (JLR) and Bifidobacterium animalis ssp. lactis BB-12 (JBB) on the bioactive compound contents of the juçara pulp, before and after a gastrointestinal simulation. The pulp of the juçara fruit showed probiotic counts of 8.70 ± 0.07 log UFC/mL for JLR and 8.44 ± 0.09 log UFC/mL for JBB, after 24 h of fermentation. Fermentation with the strains used modified the proportions of fatty acids (fatty acids esters were quantified using a gas chromatography equipment) and fibers when compared to the non-fermented pulp. The antioxidant capacity determined by DPPH, FRAP and ABTS showed significant reduction after the gastrointestinal simulation for samples. Phenolic compound analysis by UPLC-MS/MS showed, after fermentation, a greater amount of ferulic, protocatechuic and catechin acids in the samples. These results show changes in the bioactive compounds due to the fermentation of the juçara pulp by probiotics. However, these compounds showed bioactive potential and were bioaccessible after the gastrointestinal simulation, with the pulp being a potential means for bacteria growth, which may bring health benefits. Full article
(This article belongs to the Special Issue Advances in Fermented Fruits and Vegetables)
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<p>Antioxidant capacity of JP, JLR and JBB; (<b>A</b>): FRAP mmol of FeSO<sub>4</sub>/g; (<b>B</b>) ABTS µg Trolox/g; (<b>C</b>) DPPH µg Trolox/g; before and after gastrointestinal simulation (GIS). Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Monomeric anthocyanins (mg.100 g<sup>−1</sup>) before (extracts) and after gastrointestinal simulation. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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19 pages, 5197 KiB  
Article
Fermented Soymilk with Probiotic Lactobacilli and Bifidobacterium Strains Ameliorates Dextran-Sulfate-Sodium-Induced Colitis in Rats
by Ashwag Jaman Al Zahrani, Amal Bakr Shori and Effat Al-Judaibi
Nutrients 2024, 16(20), 3478; https://doi.org/10.3390/nu16203478 - 14 Oct 2024
Cited by 2 | Viewed by 2161
Abstract
Background: Current treatments for inflammatory bowel disease (IBD) are relatively futile and the extended use of drugs may reduce effectiveness. Several probiotic strains have shown promise in relieving/treating IBD symptoms. Objectives: The current study investigated the impact of fermented soymilk with [...] Read more.
Background: Current treatments for inflammatory bowel disease (IBD) are relatively futile and the extended use of drugs may reduce effectiveness. Several probiotic strains have shown promise in relieving/treating IBD symptoms. Objectives: The current study investigated the impact of fermented soymilk with a mixture of probiotic starter cultures containing Lactobacillus rhamnosus, L. casei, L. plantarum, L. acidophilus, Bifidobacterium longum, and B. animalis subsp. lactis in rats with dextran sulfate sodium (DSS)-induced colitis compared to control. Methods: Rats were randomly assigned to five groups (5 rats/group; n = 25): G1: negative normal control; G2: positive control (DSS); G3: DSS with sulfasalazine (DSS-Z); G4: DSS with soymilk (DSS-SM), and G5: DSS with fermented soymilk (DSS-FSM). Parameters monitored included the following: the disease activity index (DAI), macroscopic and histological assessments of colitis, and a fecal microbial analysis performed to assess the severity of inflammation and ulceration. Results: The DSS-FSM rats group exhibited lower DAI scores (p < 0.05) than other treated groups during the induction period. A macroscopical examination revealed no ulceration or swelling in the intestinal mucosa of rats in the DSS-FSM-treated group, resembling the findings in the negative control group. In the positive control (DSS group), the colon tissue showed increased inflammation (p < 0.05), whereas those in the DSS-SM- and DSS-FSM-treated rats groups did not show significant macroscopic scores of colitis. The positive DSS control and DSS-Z groups had crypt erosion and ulceration areas, severe crypt damage, and epithelial surface erosion, which were absent in the negative control and DSS-FSM groups. The counts of Lactobacillus spp. and Bifidobacterium spp. remained stable in both G1 and G5 over 4 weeks. The consumption of fermented soymilk with a mixture of probiotics could minimize the severity of DSS-induced colitis in rats. Conclusion, it was found that fermented soymilk containing Lactobacilli and Bifidobacterium might be an effective vehicle for reducing the severity of DSS-induced colitis in rats. Full article
(This article belongs to the Topic Advances in Animal-Derived Non-Cow Milk and Milk Products)
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<p>Evaluation of colitis. (<b>A</b>) Disease activity index (DAI); and (<b>B</b>) body weight change (%) during the induction period in week 2. G1: normal group; G2: DSS group; G3: test groups treated with sulfasalazine; G4: test groups treated with soymilk; and G5: test groups treated with fermented soymilk. Data are presented as mean ± SEM. * The level of significance was present at <span class="html-italic">p</span> &lt; 0.05 compared to the control at the same period (5 rats/group; n = 25).</p>
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<p>Evaluation of colitis. (<b>A</b>) Disease activity index (DAI); and (<b>B</b>) body weight change (%) during the induction period in week 2. G1: normal group; G2: DSS group; G3: test groups treated with sulfasalazine; G4: test groups treated with soymilk; and G5: test groups treated with fermented soymilk. Data are presented as mean ± SEM. * The level of significance was present at <span class="html-italic">p</span> &lt; 0.05 compared to the control at the same period (5 rats/group; n = 25).</p>
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<p>Macroscopic examination of the colons in different groups of rats. G1: normal group; G2: DSS group; G3: test groups treated with sulfasalazine; G4: test groups treated with soymilk; and G5: test groups treated with fermented soymilk.</p>
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<p>Macroscopic analysis of damage along the colon, which includes macroscopic score (<b>A</b>), colon length (<b>B</b>), and colon weight/length (<b>C</b>). G1: normal group; G2: DSS group; G3: test groups treated with sulfasalazine; G4: test groups treated with soymilk; and G5: test groups treated with fermented soymilk. Data are presented as mean ± SEM. The significance level was present at <span class="html-italic">p</span> &lt; 0.05 compared to the control at the same period (5 rats/group; n = 25). <sup>abcde</sup> means with different superscript letters indicate the significance level at <span class="html-italic">p</span> &lt; 0.05 compared to control.</p>
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<p>Representative photomicrographs from the different experimental colon groups, stained with hematoxylin/eosin. G1: negative control—healthy epithelium, G2: positive control—crypt erosion (the arrow exhibited epithelium with severe crypt damage), G3: DSS with sulfasalazine—ulceration area (the arrows exhibited epithelium with severe crypt damage), and G4 and G5: DSS with soymilk and DSS with fermented soymilk, respectively—inflammatory cell infiltrated areas, with no crypt alteration.</p>
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<p>Viable cell counts (VCCs) of <span class="html-italic">Lactobacillus</span> spp. (<b>A</b>) and <span class="html-italic">Bifidobacterium</span> spp. (<b>B</b>) among the groups. G1: normal group; G2: DSS group; G3: test groups treated with sulfasalazine; G4: test groups treated with soymilk; and G5: test groups treated with fermented soymilk. Data are presented as mean ± SEM. The significance level was present at <span class="html-italic">p</span> &lt; 0.05 compared to the control at the same period (5 rats/group; n = 25). <sup>abc</sup> means with different superscript letters indicate the significance level at <span class="html-italic">p</span> &lt; 0.05 compared to control.</p>
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17 pages, 3048 KiB  
Article
Rheological Properties and Sensory Profile of Yoghurt Produced with Novel Combination of Probiotic Cultures
by Nebojša Ilić, Miona Belović, Nurgin Memiši, Mladenka Pestorić, Dubravka Škrobot, Lato Pezo, Rada Jevtić-Mučibabić, Yolanda Sanz and Jerome Brouzes
Foods 2024, 13(19), 3021; https://doi.org/10.3390/foods13193021 - 24 Sep 2024
Cited by 1 | Viewed by 1598
Abstract
Novel probiotic yoghurt was produced using the combination of bacterial cultures Lactobacillus plantarum HA119 and Bifidobacterium animalis subsp. lactis B94 and yoghurt bacteria Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus. Its basic nutritional composition, colour, texture, rheological properties, and sensory profile were [...] Read more.
Novel probiotic yoghurt was produced using the combination of bacterial cultures Lactobacillus plantarum HA119 and Bifidobacterium animalis subsp. lactis B94 and yoghurt bacteria Lactobacillus delbrueckii subsp. bulgaricus and Streptococcus thermophilus. Its basic nutritional composition, colour, texture, rheological properties, and sensory profile were compared with yoghurt produced using the same technological process and standard yoghurt cultures (control sample), as well as other commercially available yoghurts with different milk fat contents. Despite the fat content of the yoghurt made with the new probiotic cultures being 1.44%, its apparent viscosity was similar to that of high-fat yoghurt (2.99%). Other results from rheological measurements indicate that the new yoghurt had a stronger protein network, presumably due to the higher number of exopolysaccharides compared to both control and commercial yoghurts. Sensory analysis revealed that there were no statistically significant differences between the novel probiotic yoghurt and high-fat yoghurt as perceived by panellists. In conclusion, this combination of probiotic cultures can be used to produce yoghurt with rheological and sensory properties similar to high-fat yoghurts, without the need for hydrocolloids or changes in the production process. Full article
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<p>Flow curves of yoghurts; Ostwald–de Waele (power) model equations used for the fitting of the descending curves are presented in the legend.</p>
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<p>Mechanical spectra of yoghurts.</p>
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<p>Residuals by (<b>a</b>) products and (<b>b</b>) assessors.</p>
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<p>Scaling factors for Assessor’s scores.</p>
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<p>The PCA biplot diagram of the yoghurt sensory analysis.</p>
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<p>Correlation of products obtained by Assessors during sensory analysis of yoghurt.</p>
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<p>Colour correlation diagram between sensory analysis, colour, textural, rheological, and chemical parameters.</p>
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<p>The PCA biplot diagram depicts the relationships among sensory analysis, colour, textural, rheological and chemical parameters.</p>
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13 pages, 2551 KiB  
Article
Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence
by Clelia Altieri, Alfonso Filippone, Antonio Bevilacqua, Maria Rosaria Corbo and Milena Sinigaglia
Foods 2024, 13(18), 2966; https://doi.org/10.3390/foods13182966 - 19 Sep 2024
Viewed by 1800
Abstract
Three strains of Lactiplantibacillus plantarum and three bifidobacteria (Bifidobacterium animalis subsp. lactis, Bifidobacterium breve, and Bifidobacterium subtile) were used as target strains; in addition, for each microorganism, the cell-free supernatant (CFS) was produced and used as an ingredient of [...] Read more.
Three strains of Lactiplantibacillus plantarum and three bifidobacteria (Bifidobacterium animalis subsp. lactis, Bifidobacterium breve, and Bifidobacterium subtile) were used as target strains; in addition, for each microorganism, the cell-free supernatant (CFS) was produced and used as an ingredient of the growth medium. Namely CFSs from lactobacilli were used on bifidobacteria and CFSs from bifidobacteria were used on lactobacilli. The viable count was assessed, and the data were modelled through a reparametrized Gompertz equation cast both in the positive and negative form to evaluate the parameters t-7log, which is the time after which the viable count was 7 log CFU/mL, and the t-7log*, which is the time after which the viable count was below 7 log CFU/mL; the difference between the t-7log* and t-7log defines the stability time. Statistics through a multiparametric ANOVA (analysis of variance) provided evidence for the presence of a bifidogenic and/or bioactive factor produced by bifidobacteria and active on lactobacilli, and vice versa (bioactive factor of lactobacilli with a functional effect on bifidobacteria), although further studies are required to better explain the mechanisms beyond the positive effects. In addition, the influence on the target strains can be found during the growth phase (stimulation), as well as during senescence and death phase (protective effect), with a strong strain/species dependence on both CFS production and target strain. Full article
(This article belongs to the Section Food Microbiology)
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<p>Decomposition of the statistical hypothesis for the individual effect of the predictor “target microorganism” on the assay <span class="html-italic">Bifidobacterium</span> spp. and CFS of <span class="html-italic">L. plantarum</span> on the reduction in t-7 log (that is, the reduction in time to attain a viable count of 7 log CFU/mL by the target strain). Bars denote 95% confidence interval, while letters indicate significant differences (Tukey’s test, <span class="html-italic">p</span> &lt; 0.05). The picture shows the cumulative results for the aforementioned extracts.</p>
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<p>Decomposition of the statistical hypothesis for the individual effect of the predictor “kind of CFS” on the assay <span class="html-italic">Bifidobacterium</span> spp. and CFS of <span class="html-italic">L. plantarum</span> (CFS<sub>1</sub>, <span class="html-italic">L. plantarum</span> c3; CFS<sub>2</sub>, <span class="html-italic">L. plantarum</span> c4; CFS<sub>3</sub>, <span class="html-italic">L. plantarum</span> c15) on the reduction in t-7 log (that is, the reduction in the time taken to attain a viable count of 7 log CFU/mL by the target strain). Bars denote 95% confidence interval, while letters indicate significant differences (Tukey’s test, <span class="html-italic">p</span> &lt; 0.05). This figure shows the cumulative effects of the different extracts on all bifidobacteria.</p>
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<p>Decomposition of the statistical hypothesis for the individual effect of the predictor “target microorganism” on the assay <span class="html-italic">L. plantarum</span> and CFS of <span class="html-italic">Bifidobacterium</span> spp. on the reduction in t-7 log (that is, the reduction in the time taken to attain a viable count of 7 log CFU/mL by the target strain). Bars denote 95% confidence interval, while letters indicate significant differences (Tukey’s test, <span class="html-italic">p</span> &lt; 0.05). The picture shows the cumulative results for the aforementioned extracts.</p>
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<p>Decomposition of the statistical hypothesis for the individual effect of the predictor “target microorganism” on the assay <span class="html-italic">L. plantarum</span> and CFS of <span class="html-italic">Bifidobacterium</span> spp. on the increase in the stability time (that is, the time when the viable count of the target strain was at least 7 log CFU/mL). Bars denote 95% confidence interval, while letters indicate significant differences (Tukey’s test, <span class="html-italic">p</span> &lt; 0.05). The picture shows the cumulative results for the aforementioned extracts.</p>
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<p>Decomposition of the statistical hypothesis for the individual effect of the predictor “kind of CFS” on the assay <span class="html-italic">L. plantarum</span> and CFE of <span class="html-italic">Bifidobacterium</span> spp. (CFS<sub>4</sub>, <span class="html-italic">B. animalis</span> subsp. <span class="html-italic">lactis</span>; CFS<sub>5</sub>, <span class="html-italic">B. subtile</span> DSM 20096; CFS<sub>6</sub>, <span class="html-italic">B. breve</span> DSM 20213) on the increase in the stability time (that is, the time when the viable count of the target strain was at least 7 log CFU/mL). Bars denote 95% confidence interval, while letters indicate significant differences (Tukey’s test, <span class="html-italic">p</span> &lt; 0.05). The figure shows the cumulative effects of the different extracts on all bifidobacteria.</p>
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<p>Decomposition of the statistical hypothesis for the interactive effect “kind of CFS × target strain” on the assay <span class="html-italic">L. plantarum</span> and CFS of <span class="html-italic">Bifidobacterium</span> spp. on the increase in the stability time (that is, the time when the viable count of the target strain was at least 7 log CFU/mL). Bars denote 95% confidence interval, while letters indicate significant differences (Tukey’s test, <span class="html-italic">p</span> &lt; 0.05). CFS<sub>4</sub>, <span class="html-italic">B. animalis</span> subsp. <span class="html-italic">lactis</span>; CFS<sub>5</sub>, <span class="html-italic">B. subtile</span> DSM 20096; CFS<sub>6</sub>, <span class="html-italic">B. breve</span> DSM 20213.</p>
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17 pages, 2125 KiB  
Article
Effect of Dietary Composite Probiotic Supplementation on the Microbiota of Different Oral Sites in Cats
by Mingrui Zhang, Yingyue Cui, Xiaoying Mei, Longxian Li, Haotian Wang, Yingying Li and Yi Wu
Vet. Sci. 2024, 11(8), 351; https://doi.org/10.3390/vetsci11080351 - 4 Aug 2024
Viewed by 1904
Abstract
Probiotics demonstrated effectiveness in modulating oral microbiota and improving oral health in humans and rodents. However, its effects and applications on the oral microbiota of cats remain underexplored. Twelve healthy cats were randomly assigned to a control group (CON) and a composite probiotic [...] Read more.
Probiotics demonstrated effectiveness in modulating oral microbiota and improving oral health in humans and rodents. However, its effects and applications on the oral microbiota of cats remain underexplored. Twelve healthy cats were randomly assigned to a control group (CON) and a composite probiotic group (CPG) for a 42-day trial. The CPG diet included additional supplementation of Bifidobacterium animalis subsp. lactis HN019, Lactobacillus acidophilus NCFM, and Lactobacillus casei LC-11, each at approximately 1 × 1010 CFU/kg. On days 0 and 42, microbial samples were collected from the gingiva, tooth surfaces, and tongue of all cats for 16S rRNA gene sequencing. Bacteroidetes, Firmicutes, and Proteobacteria were the dominant phyla across all oral sites. The CPG treatment enriched seven genera, such as Moraxella, Actinomyces, and Frederiksenia in the gingiva. Meanwhile, Bergeyella and Streptococcus were enriched on the tooth surfaces, while Bergeyella, Flavobacterium, and Luteimonas were enriched on the tongue. Furthermore, the composite probiotic effectively suppressed eight genera, such as Bacteroides, Desulfovibrio, and Filifactor in the gingiva of CPG cats, as well as Helcococcus, Lentimicrobium, and Campylobacter on tooth surfaces, and Porphyromonas, Treponema, and Fusibacter on the tongue. These findings suggest that the composite probiotic used in this study modulates the feline oral microbiota by supporting beneficial or commensal bacteria and inhibiting oral pathogens, demonstrating potential to improve oral health in cats. Full article
(This article belongs to the Topic Research on Companion Animal Nutrition)
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<p>Differences in α- and β-diversity of oral microbiota in cats at baseline. (<b>A</b>–<b>F</b>) Ace index, Chao index, Faith’s phylogenetic diversity, Simpson index, Shannon index, and Sobs index at the OTU level. (<b>G</b>–<b>I</b>) Principal coordinate analysis (PCoA) based on weighted UniFrac distance at the OTU level of cat gum, tooth surface, and tongue microbiota. CON, cats fed with a basal diet; and CPG, cats received the basal diet with a post-sprayed composite probiotic formulation. Values are mean ± SEM (<span class="html-italic">n</span> = 6).</p>
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<p>Differences in α- and β-diversity of oral microbiota in different parts of cats on day 42. (<b>A</b>–<b>F</b>) Ace index, Chao index, Faith’s phylogenetic diversity, Simpson index, Shannon index, and Sobs index at the OTU level. (<b>G</b>–<b>I</b>) Principal coordinate analysis (PCoA) based on weighted UniFrac distance at the OTU level of cat gum, tooth surface, and tongue microbiota. CON, cats fed with a basal diet; and CPG, cats received the basal diet with a post-sprayed composite probiotic formulation. Values are mean ± SEM (<span class="html-italic">n</span> = 6).</p>
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<p>Effects of different treatments on the composition of gingival microbiota in cats on day 42. (<b>A,B</b>) Community barplot analysis on the phylum and family levels. (<b>C</b>) Community heatmap analysis on the genus level. (<b>D,E</b>) Linear discriminant analysis effect size (LEfSe) analysis on the family and genus levels. CON, cats fed with a basal diet; and CPG, cats received the basal diet with a post-sprayed composite probiotic formulation.</p>
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<p>Effects of different treatments on the composition of tooth surface microbiota in cats on day 42. (<b>A,B</b>) Community barplot analysis on the phylum and family levels. (<b>C</b>) Community heatmap analysis on the genus level. (<b>D,E</b>) Linear discriminant analysis effect size (LEfSe) analysis on the family and genus levels. CON, cats fed with a basal diet; and CPG, cats received the basal diet with a post-sprayed composite probiotic formulation.</p>
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<p>Effects of different treatments on the composition of tongue microbiota in cats on day 42. (<b>A,B</b>) Community barplot analysis on the phylum and family levels. (<b>C</b>) Community heatmap analysis on the genus level. (<b>D,E</b>) Linear discriminant analysis effect size (LEfSe) analysis on the family and genus levels. CON, cats fed with a basal diet; and CPG, cats received the basal diet with a post-sprayed composite probiotic formulation.</p>
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16 pages, 972 KiB  
Article
Effect of Intake of Bifidobacteria and Dietary Fiber on Resting Energy Expenditure: A Randomized, Placebo-Controlled, Double-Blind, Parallel-Group Comparison Study
by Yuhei Baba, Naoki Azuma, Yasuo Saito, Kazuma Takahashi, Risa Matsui and Tsuyoshi Takara
Nutrients 2024, 16(14), 2345; https://doi.org/10.3390/nu16142345 - 20 Jul 2024
Viewed by 3228
Abstract
Bifidobacterium animalis subsp. lactis GCL2505 in combination with inulin has been shown to have several health benefits, including an improvement in the intestinal microbiota and a reduction in human visceral fat. Previous studies have suggested that the visceral fat reduction of GCL2505 and inulin [...] Read more.
Bifidobacterium animalis subsp. lactis GCL2505 in combination with inulin has been shown to have several health benefits, including an improvement in the intestinal microbiota and a reduction in human visceral fat. Previous studies have suggested that the visceral fat reduction of GCL2505 and inulin may be achieved by improving daily energy expenditure. This parallel, placebo-controlled, randomized, double-blind study was conducted to evaluate the effects of GCL2505 and inulin on resting energy expenditure (REE) in overweight or mildly obese Japanese adults (n = 44). Participants ingested 1 × 1010 colony forming units of GCL2505 and 5.0 g of inulin daily for 4 weeks. REE score at week 4 was set as the primary endpoint. At week 4, the REE score of the GCL2505 and inulin group was significantly higher than that of the placebo group, with a difference of 84.4 kcal/day. In addition, fecal bifidobacteria counts were significantly increased in the GCL2505 and inulin group. Our results indicated that the intake of GCL2505 and inulin improves energy balance, which is known to be a major factor of obesity, by modulating the microbiota in the gut. This is the first report to demonstrate the effects of probiotics and dietary fiber on REE in humans. Full article
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<p>Flowchart of participant selection.</p>
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<p>Changes in fecal bifidobacteria in the active (<span class="html-italic">n</span> = 20) and placebo (<span class="html-italic">n</span> = 20) groups during the study period. Boxplots represent interquartile range (25–75%) with median shown in black. Inter-group differences were analyzed by analysis of covariance with baseline values as covariates. Intra-group differences were analyzed by paired <span class="html-italic">t</span>-test.</p>
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14 pages, 2261 KiB  
Article
Reduction of Beany Flavor and Improvement of Nutritional Quality in Fermented Pea Milk: Based on Novel Bifidobacterium animalis subsp. lactis 80
by Ronghao Sun, Bochun Yang, Conghao Yang, Yan Jin, Wenjie Sui, Guohua Zhang and Tao Wu
Foods 2024, 13(13), 2099; https://doi.org/10.3390/foods13132099 - 1 Jul 2024
Viewed by 1224
Abstract
Peas (Pisum sativum L.) serve as a significant source of plant-based protein, garnering consumer attention due to their high nutritional value and non-GMO modified nature; however, the beany flavor limits its applicability. In this study, the effects of Bifidobacterium animalis subsp. Lactis [...] Read more.
Peas (Pisum sativum L.) serve as a significant source of plant-based protein, garnering consumer attention due to their high nutritional value and non-GMO modified nature; however, the beany flavor limits its applicability. In this study, the effects of Bifidobacterium animalis subsp. Lactis 80 (Bla80) fermentation on the physicochemical characteristics, particle size distribution, rheological properties, and volatile flavor compounds of pea milk was investigated. After fermentation by Bla80, the pH of pea milk decreased from 6.64 ± 0.01 to 5.14 ± 0.01, and the (D4,3) distribution decreased from 142.4 ± 0.47 μm to 122.7 ± 0.55 μm. In addition, Lactic acid bacteria (LAB) fermentation significantly reduced the particle size distribution of pea milk, which was conducive to improving the taste of pea milk and also indicated that Bla80 had the probiotic potential of utilizing pea milk as a fermentation substrate. According to GC-MS analysis, 64 volatile compounds were identified in fermented pea milk and included aldehydes, alcohols, esters, ketones, acids, and furans. Specifically, aldehydes in treated samples decreased by 27.36% compared to untreated samples, while esters, ketones, and alcohols increased by 11.07%, 10.96%, and 5.19%, respectively. These results demonstrated that Bla80 fermentation can significantly decrease the unpleasant beany flavor, such as aldehydes and furans, and increase fruity or floral aromas in treated pea milk. Therefore, Bla80 fermentation provides a new method to improve physicochemical properties and consumer acceptance of fermented pea milk, eliminating undesirable aromas for the application of pea lactic acid bacteria beverage. Full article
(This article belongs to the Section Plant Foods)
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<p>Fermentation characteristics: pH and titratable acidity (% lactic acid) of pea milk during fermentation.</p>
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<p>Changes of (<b>A</b>) particle size distribution and (<b>B</b>) volume mean particle size (D<sub>4,3</sub>) of pea milk during fermentation. UFP: unfermented pea milk; FP: fermented pea milk. Different superscript letters in the figure denote significant differences between samples (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The rheological property analysis (G’, the storage modulus, and G”, the loss modulus) of fermented pea milk and pea milk. (<b>A</b>) Frequency sweep; (<b>B</b>) Relationship between apparent viscosity and shear rate; (<b>C</b>) tan δ; (<b>D</b>) Creep recovery curves. UFP: unfermented pea milk; FP: fermented pea milk.</p>
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<p>Aroma radar map of pea milk before and after fermentation. UFP: unfermented pea milk; FP: fermented pea milk.</p>
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15 pages, 17059 KiB  
Article
The Effect of Bifidobacterium animalis subsp. lactis MN-Gup on Glucose Metabolism, Gut Microbiota, and Their Metabolites in Type 2 Diabetic Mice
by Chao Zhang, Bing Fang, Nana Zhang, Qi Zhang, Tianjiao Niu, Liang Zhao, Erna Sun, Jian Wang, Ran Xiao, Jingjing He, Shusen Li, Juan Chen, Jie Guo, Wei Xiong and Ran Wang
Nutrients 2024, 16(11), 1691; https://doi.org/10.3390/nu16111691 - 29 May 2024
Cited by 5 | Viewed by 2832
Abstract
Probiotics have garnered increasing attention as a potential therapeutic approach for type 2 diabetes mellitus (T2DM). Previous studies have confirmed that Bifidobacterium animalis subsp. lactis MN-Gup (MN-Gup) could stimulate the secretion of glucagon-like peptide-1 (GLP-1) in NCI-H716 cells, but whether MN-Gup has a [...] Read more.
Probiotics have garnered increasing attention as a potential therapeutic approach for type 2 diabetes mellitus (T2DM). Previous studies have confirmed that Bifidobacterium animalis subsp. lactis MN-Gup (MN-Gup) could stimulate the secretion of glucagon-like peptide-1 (GLP-1) in NCI-H716 cells, but whether MN-Gup has a hypoglycemic effect on T2DM in vivo remains unclear. In this study, a T2DM mouse model was constructed, with a high-fat diet and streptozotocin in mice, to investigate the effect of MN-Gup on diabetes. Then, different doses of MN-Gup (2 × 109 CFU/kg, 1 × 1010 CFU/kg) were gavaged for 6 weeks to investigate the effect of MN-Gup on glucose metabolism and its potential mechanisms. The results showed that a high-dose of MN-Gup significantly reduced the fasting blood glucose (FBG) levels and homeostasis model assessment-insulin resistance (HOMA-IR) of T2DM mice compared to the other groups. In addition, there were significant increases in the short-chain fatty acids (SCFAs), especially acetate, and GLP-1 levels in the MN-Gup group. MN-Gup increased the relative abundance of Bifidobacterium and decreased the number of Escherichia-Shigella and Staphylococcus. Moreover, the correlation analysis revealed that Bifidobacterium demonstrated a significant positive correlation with GLP-1 and a negative correlation with the incremental AUC. In summary, this study demonstrates that Bifidobacterium animalis subsp. lactis MN-Gup has significant hypoglycemic effects in T2DM mice and can modulate the gut microbiota, promoting the secretion of SCFAs and GLP-1. Full article
(This article belongs to the Special Issue Targeting the Gut Microbiota in Metabolic Disease)
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<p>Experimental schedule. STZ: streptozotocin.</p>
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<p>Effect of MN-Gup on glucose metabolism in T2DM mice. (<b>a</b>) Body weight of mice at weeks 0, 7 and 13. (<b>b</b>) Fasting blood glucose (FBG) levels at weeks 7 and 13. (<b>c</b>) Area under curve (AUC) of Oral Glucose Tolerance Test (OGTT). (<b>d</b>) The incremental AUC of OGTT at week 13 represents the difference between post-intervention (week 13) and pre-intervention (week 7) results. (<b>e</b>) Level of homeostasis model assessment-insulin resistance (HOMA-IR) at week 13. The sample size for each group was 6. Significance analysis was performed using a one-way ANOVA or the Kruskal–Wallis test, with multiple comparisons conducted using Tukey’s test or Dunn’s test, respectively. The letters a, b, c, and d represent the results of multiple comparisons. Different letters signify significant differences between groups (<span class="html-italic">p</span> &lt; 0.05), while groups sharing the same letter indicate no significant difference. NC: normal control; MC: diabetic model control; MF: metformin; L-MG: low-dose MN-Gup; H-MG: high-dose MN-Gup.</p>
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<p>Hematoxylin and eosin (H &amp; E) staining of colon and pancreas tissues of T2DM mice. NC: normal control; MC: diabetic model control; MF: metformin; L-MG: low-dose MN-Gup; H-MG: high-dose MN-Gup.</p>
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<p>Effect of probiotic MN-Gup on gut microbiota composition in T2DM mice. (<b>a</b>) Shannon index of different groups at OTU level. (<b>b</b>) Simpson index of different groups at OTU level. (<b>c</b>) Sobs index of different groups at OTU level. (<b>d</b>) Principal coordinates analysis (PCoA) of the different groups at the OUT level. (<b>e</b>) Percent of community abundance on genus level. The sample size for each group was 6. Significance analysis was performed using a one-way ANOVA or the Kruskal–Wallis test, with multiple comparisons conducted using Tukey’s test or Dunn’s test, respectively. The letters a and b represent the results of multiple comparisons. Different letters signify significant differences between groups (<span class="html-italic">p</span> &lt; 0.05), while groups sharing the same letter indicate no significant difference. NC: normal control; MC: diabetic model control; MF: metformin; L-MG: low-dose MN-Gup; H-MG: high-dose MN-Gup.</p>
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<p>Results of species difference analysis of gut microbiota in T2DM mice. (<b>a</b>) Relative abundance of <span class="html-italic">Escherichia-Shigella</span>. (<b>b</b>) Relative abundance of <span class="html-italic">Staphylococcus</span>. (<b>c</b>) Relative abundance of <span class="html-italic">Aerococcus</span>. (<b>d</b>) Relative abundance of <span class="html-italic">Bifidobacterium</span>. (<b>e</b>) Relative abundance of <span class="html-italic">Kurthia</span>. (<b>f</b>) Relative abundance of <span class="html-italic">norank_f__Muribaculaceae</span>. (<b>g</b>) Relative abundance of <span class="html-italic">Lactobacillus</span>. (<b>h</b>) Linear discriminant analysis effect size (LEfSe) analysis of gut microbiota in T2DM mice. The sample size for each group was 6. Significance analysis was performed using a one-way ANOVA or the Kruskal–Wallis test, with multiple comparisons conducted using Tukey’s test or Dunn’s test, respectively. The letters a, b, and c represent the results of multiple comparisons. Different letters signify significant differences between groups (<span class="html-italic">p</span> &lt; 0.05), while groups sharing the same letter indicate no significant difference. NC: normal control; MC: diabetic model control; MF: metformin; L-MG: low-dose MN-Gup; H-MG: high-dose MN-Gup.</p>
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<p>Effect of MN-Gup on the composition of short-chain fatty acids (SCFAs) and glucagon-like peptide-1 (GLP-1) in T2DM mice. (<b>a</b>) Fecal total acid concentration in T2DM mice. (<b>b</b>) Fecal acetic acid concentration in T2DM mice. (<b>c</b>) Fecal propionate acid concentration in T2DM mice. (<b>d</b>) Fecal butyrate acid concentration in T2DM mice. (<b>e</b>) Effect of MN-Gup on serum GLP-1 in T2DM mice. The sample size for each group was 6. Significance analysis was performed using a one-way ANOVA or the Kruskal–Wallis test, with multiple comparisons conducted using Tukey’s test or Dunn’s test, respectively. The letters a, b, c, and d represent the results of multiple comparisons. Different letters signify significant differences between groups (<span class="html-italic">p</span> &lt; 0.05), while groups sharing the same letter indicate no significant difference. NC: normal control; MC: diabetic model control; MF: metformin; L-MG: low-dose MN-Gup; H-MG: high-dose MN-Gup.</p>
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<p>Correlation heat map of gut microbiota and metabolic parameters in T2DM mice. The correlation coefficient matrix was calculated using Spearman’s method. All groups (five groups, a total of 30 mice) were included in the analysis. The significance test of correlation coefficients is denoted as follows: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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