Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence

Three strains of <i>Lactiplantibacillus plantarum</i> and three bifidobacteria (<i>Bifidobacterium animalis</i> subsp. <i>lactis</i>, <i>Bifidobacterium breve</i>, and <i>Bifidobacterium subtile</i>) were used as target strains; in addition...

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Main Authors: Clelia Altieri, Alfonso Filippone, Antonio Bevilacqua, Maria Rosaria Corbo, Milena Sinigaglia
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Foods
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Online Access:https://www.mdpi.com/2304-8158/13/18/2966
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author Clelia Altieri
Alfonso Filippone
Antonio Bevilacqua
Maria Rosaria Corbo
Milena Sinigaglia
author_facet Clelia Altieri
Alfonso Filippone
Antonio Bevilacqua
Maria Rosaria Corbo
Milena Sinigaglia
author_sort Clelia Altieri
collection DOAJ
description Three strains of <i>Lactiplantibacillus plantarum</i> and three bifidobacteria (<i>Bifidobacterium animalis</i> subsp. <i>lactis</i>, <i>Bifidobacterium breve</i>, and <i>Bifidobacterium subtile</i>) 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.
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spelling doaj-art-32e998530b9748c99fac064d2d531b1a2025-08-20T01:55:31ZengMDPI AGFoods2304-81582024-09-011318296610.3390/foods13182966Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive InfluenceClelia Altieri0Alfonso Filippone1Antonio Bevilacqua2Maria Rosaria Corbo3Milena Sinigaglia4Department of Agriculture, Food, Natural Resources and Engineering, University of Foggia, 71122 Foggia, ItalyDepartment of Agriculture, Food, Natural Resources and Engineering, University of Foggia, 71122 Foggia, ItalyDepartment of Agriculture, Food, Natural Resources and Engineering, University of Foggia, 71122 Foggia, ItalyDepartment of Agriculture, Food, Natural Resources and Engineering, University of Foggia, 71122 Foggia, ItalyDepartment of Agriculture, Food, Natural Resources and Engineering, University of Foggia, 71122 Foggia, ItalyThree strains of <i>Lactiplantibacillus plantarum</i> and three bifidobacteria (<i>Bifidobacterium animalis</i> subsp. <i>lactis</i>, <i>Bifidobacterium breve</i>, and <i>Bifidobacterium subtile</i>) 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.https://www.mdpi.com/2304-8158/13/18/2966cell-free supernatantinteractiongrowth stimulationprotective effectstrain dependence
spellingShingle Clelia Altieri
Alfonso Filippone
Antonio Bevilacqua
Maria Rosaria Corbo
Milena Sinigaglia
Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence
Foods
cell-free supernatant
interaction
growth stimulation
protective effect
strain dependence
title Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence
title_full Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence
title_fullStr Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence
title_full_unstemmed Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence
title_short Lactobacilli and Bifidobacteria: A Parapostbiotic Approach to Study and Explain Their Mutual Bioactive Influence
title_sort lactobacilli and bifidobacteria a parapostbiotic approach to study and explain their mutual bioactive influence
topic cell-free supernatant
interaction
growth stimulation
protective effect
strain dependence
url https://www.mdpi.com/2304-8158/13/18/2966
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