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Review
. 2020 Mar 13;12(3):757.
doi: 10.3390/nu12030757.

Probiotics Dietary Supplementation for Modulating Endocrine and Fertility Microbiota Dysbiosis

Ana López-Moreno  1   2 , Margarita Aguilera  1   2   3
Affiliations
Review

Probiotics Dietary Supplementation for Modulating Endocrine and Fertility Microbiota Dysbiosis

Ana López-Moreno et al. Nutrients. .

Abstract

Human microbiota seems to play a key role in endocrine and reproductive systems. Fortunately, microbiota reproductive dysbiosis start to be treated by probiotics using typical species from genus Lactobacillus. This work presents the compiled and analysed results from the most up-to-date information from clinical trials regarding microbiota, fertility, probiotics and oral route administration, reviewing open access scientific documents. These studies analyse the clinical impact of probiotics administered on several endocrine disorders' manifestations in women: mastitis; vaginal dysbiosis; pregnancy complication disorders; and polycystic ovary syndrome. In all cases, the clinical modulation achieved by probiotics was evaluated positively through the improvement of specific disease outcomes with the exception of the pregnancy disorders studies, where the sample sizes results were statistically insufficient. High amounts of studies were discarded because no data were provided on specific probiotic strains, doses, impact on the individual autochthon microbiota, or data regarding specific hormonal values modifications and endocrine regulation effects. However, most of the selected studies with probiotics contained no protocolised administration. Therefore, we consider that intervention studies with probiotics might allocate the focus, not only in obtaining a final outcome, but in how to personalise the administration according to the disorder to be palliated.

Keywords: doses; dysbiosis; endocrine; fertility; microbiota; probiotics.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
PRISMA flow diagram: preferred reporting items for literature search.
Figure 2
Figure 2
Risk of bias graph: review authors’ judgments about each item presented as percentages across all included studies.
Figure 3
Figure 3
Risk of bias summary: review authors’ judgments about each risk of bias item for each included study.
See this image and copyright information in PMC

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