Computational prediction of new therapeutic effects of probiotics.

Probiotics are living microorganisms that provide health benefits to their hosts, potentially aiding in the treatment or prevention of various diseases, including diarrhea, irritable bowel syndrome, ulcerative colitis, and Crohn's disease. Motivated by successful applications of link prediction in medical and biological networks, we applied link prediction to the probiotic-disease network to identify unreported relations. Using data from the Probio database and International Classification of Diseases-10th Revision (ICD-10) resources, we constructed a bipartite graph focused on the relationship between probiotics and diseases. We applied customized link prediction algorithms for this bipartite network, including common neighbors, Jaccard coefficient, and Adamic/Adar ranking formulas. We evaluated the results using Area under the Curve (AUC) and precision metrics. Our analysis revealed that common neighbors outperformed the other methods, with an AUC of 0.96 and precision of 0.6, indicating that basic formulas can predict at least six out of ten probable relations correctly. To support our findings, we conducted an exact search of the top 20 predictions and found six confirming papers on Google Scholar and Science Direct. Evidence suggests that Lactobacillus jensenii may provide prophylactic and therapeutic benefits for gastrointestinal diseases and that Lactobacillus acidophilus may have potential activity against urologic and female genital illnesses. Further investigation of other predictions through additional preclinical and clinical studies is recommended. Future research may focus on deploying more powerful link prediction algorithms to achieve better and more accurate results.

Effects of Probiotics on Allergic Rhinitis: A Systematic Review and Meta-Analysis of Randomized Clinical Trials.

BACKGROUND: The prevalence of allergic rhinitis has been estimated to range from 10 to 30% in adults and up to 40% in children. Probiotics have been tested as for this condition, but no census on which probiotic types are most effective. OBJECTIVE: Our aim of this study was to provide probiotic strain-specific evaluation for the treatment of allergic rhinitis. METHODS: Databases (PubMed, Google Scholar, and ScienceDirect) were searched (from inception to October 2020) to identify randomized controlled trials (RCTs) of probiotic treatments in allergic rhinitis patients. A systematic review was done comparing types of reported outcomes, clinical and immunological parameters and safety data. A meta-analysis was done for probiotics with at least two RCTs per probiotic strain(s) and sharing a common outcome. RESULTS: A total of 13 randomized, double-blind, placebo-controlled trials (N = 1591 participants) were included in the systematic review. Overall, 8 of 9 probiotic types alleviated at least one clinical symptom of allergic rhinitis. The meta-analysis results showed that, neither L. paracasei Lp33 (SMD = -1.61, 95% CI -4.67, 1.45) nor L. rhamnosus GG (SMD = -1.00, 95% CI -3.01, 1.00) had significant efficacy for reducing nasal symptom scores. CONCLUSIONS: Our analysis showed probiotics produced a slight improvement in some clinical and immunological measurements on allergic rhinitis. Due to the diversity of outcome measurements and lack of sufficient trials for each probiotic strain, future trials are needed with similar study design and uniform outcomes to better compare the effect of probiotics on allergic rhinitis.