Effect of Probiotics and Prebiotics on Immune Response to Influenza Vaccination in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials - PubMed (original) (raw)
Review
Effect of Probiotics and Prebiotics on Immune Response to Influenza Vaccination in Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Wei-Te Lei et al. Nutrients. 2017.
Abstract
We conducted a meta-analysis to evaluate the effects of probiotics and prebiotics on the immune response to influenza vaccination in adults. We conducted a literature search of Pubmed, Embase, the Cochrane Library, the Cumulative Index to Nursing and Allied Health (CINAHL), Airiti Library, and PerioPath Index to Taiwan Periodical Literature in Taiwan. Databases were searched from inception to July 2017. We used the Cochrane Review risk of bias assessment tool to assess randomized controlled trial (RCT) quality. A total of 20 RCTs comprising 1979 adults were included in our systematic review. Nine RCTs including 623 participants had sufficient data to be pooled in a meta-analysis. Participants who took probiotics or prebiotics showed significant improvements in the H1N1 strain seroprotection rate (with an odds ratio (OR) of 1.83 and a 95% confidence interval (CI) of 1.19-2.82, p = 0.006, _I_² = 0%), the H3N2 strain seroprotection rate (OR = 2.85, 95% CI = 1.59-5.10, p < 0.001, _I_² = 0%), and the B strain seroconversion rate (OR = 2.11, 95% CI = 1.38-3.21, p < 0.001, _I_² = 0%). This meta-analysis suggested that probiotics and prebiotics are effective in elevating immunogenicity by influencing seroconversion and seroprotection rates in adults inoculated with influenza vaccines.
Keywords: influenza vaccine; meta-analysis; prebiotics; probiotics; seroconversion; seroprotection; systematic review.
Conflict of interest statement
The authors declare no conflict of interest.
Figures
Figure 1
Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) flow diagram.
Figure 2
Forest plots of seroprotection and seroconversion rate of H1N1 strain. (a) Forest plot of seroprotection rate of H1N1 strain; (b) Forest plot of seroconversion rate of H1N1 strain. The bold data represents total participants of all included studies and the Odds ratio (OR) between the probiotics/prebiotics group and the placebo group. The diamond stands for the pooled OR. Weights are from random-effects model. CI: confidence interval.
Figure 3
Forest plots of seroprotection and seroconversion rate of H3N2 strain. (a) Forest plot of seroprotection rate of H3N2 strain; (b) Forest plot of seroconversion rate of H3N2 strain. The bold data represents total participants of all included studies and the Odds ratio (OR) between the probiotics/prebiotics group and the placebo group. The diamond stands for the pooled OR. Weights are from random-effects model. CI: confidence interval.
Figure 4
Forest plots of seroprotection and seroconversion rate of B strain. (a) Forest plot of seroprotection rate of B strain; (b) Forest plot of seroconversion rate of B strain. The bold data represents total participants of all included studies and the Odds ratio (OR) between the probiotics/prebiotics group and the placebo group. The diamond stands for the pooled OR. Weights are from random-effects model. CI: confidence interval.
Figure 5
Forest plots of subgroup analysis by intervention type of seroconversion rate of H1N1 and H3N2 strains. (a) Forest plot of subgroup analysis by intervention type of seroconversion rate for influenza H1N1 strain; (b) Forest plot of subgroup analysis by intervention type of seroconversion rate for influenza H3N2 strain. The bold data represents total participants of all included studies and the Odds ratio (OR) between the probiotics/prebiotics group and the placebo group. The diamond stands for the pooled OR. Weights are from random-effects model. CI: confidence interval.
Figure 5
Forest plots of subgroup analysis by intervention type of seroconversion rate of H1N1 and H3N2 strains. (a) Forest plot of subgroup analysis by intervention type of seroconversion rate for influenza H1N1 strain; (b) Forest plot of subgroup analysis by intervention type of seroconversion rate for influenza H3N2 strain. The bold data represents total participants of all included studies and the Odds ratio (OR) between the probiotics/prebiotics group and the placebo group. The diamond stands for the pooled OR. Weights are from random-effects model. CI: confidence interval.
Figure 6
Forest plots of subgroup analysis by participants of seroconversion rate of H1N1 and H3N2 strains. (a) Forest plot of subgroup analysis by health status of participants of seroconversion rate for influenza H1N1 strain; (b) Forest plot of subgroup analysis by health status of participants of seroconversion rate for influenza H3N2 strain. The bold data represents total participants of all included studies and the Odds ratio (OR) between the probiotics/prebiotics group and the placebo group. The diamond stands for the pooled OR. Weights are from random-effects model. CI: confidence interval.
Figure 6
Forest plots of subgroup analysis by participants of seroconversion rate of H1N1 and H3N2 strains. (a) Forest plot of subgroup analysis by health status of participants of seroconversion rate for influenza H1N1 strain; (b) Forest plot of subgroup analysis by health status of participants of seroconversion rate for influenza H3N2 strain. The bold data represents total participants of all included studies and the Odds ratio (OR) between the probiotics/prebiotics group and the placebo group. The diamond stands for the pooled OR. Weights are from random-effects model. CI: confidence interval.
Similar articles
- Immunogenicity and Safety of Reduced-Dose Intradermal vs Intramuscular Influenza Vaccines: A Systematic Review and Meta-analysis.
Egunsola O, Clement F, Taplin J, Mastikhina L, Li JW, Lorenzetti DL, Dowsett LE, Noseworthy T. Egunsola O, et al. JAMA Netw Open. 2021 Feb 1;4(2):e2035693. doi: 10.1001/jamanetworkopen.2020.35693. JAMA Netw Open. 2021. PMID: 33560425 Free PMC article. - Immunogenicity and Safety of Influenza Vaccination in Systemic Lupus Erythematosus Patients Compared with Healthy Controls: A Meta-Analysis.
Liao Z, Tang H, Xu X, Liang Y, Xiong Y, Ni J. Liao Z, et al. PLoS One. 2016 Feb 4;11(2):e0147856. doi: 10.1371/journal.pone.0147856. eCollection 2016. PLoS One. 2016. PMID: 26845680 Free PMC article. - Immunogenicity and Safety of Intradermal Influenza Vaccine in the Elderly: A Meta-Analysis of Randomized Controlled Trials.
Pileggi C, Mascaro V, Bianco A, Nobile CG, Pavia M. Pileggi C, et al. Drugs Aging. 2015 Oct;32(10):857-69. doi: 10.1007/s40266-015-0303-8. Drugs Aging. 2015. PMID: 26442860 - Immunogenicity and safety of inactivated quadrivalent influenza vaccine in adults: A systematic review and meta-analysis of randomised controlled trials.
Moa AM, Chughtai AA, Muscatello DJ, Turner RM, MacIntyre CR. Moa AM, et al. Vaccine. 2016 Jul 29;34(35):4092-4102. doi: 10.1016/j.vaccine.2016.06.064. Epub 2016 Jul 2. Vaccine. 2016. PMID: 27381642 Review. - The influence of prebiotic or probiotic supplementation on antibody titers after influenza vaccination: a systematic review and meta-analysis of randomized controlled trials.
Yeh TL, Shih PC, Liu SJ, Lin CH, Liu JM, Lei WT, Lin CY. Yeh TL, et al. Drug Des Devel Ther. 2018 Jan 25;12:217-230. doi: 10.2147/DDDT.S155110. eCollection 2018. Drug Des Devel Ther. 2018. PMID: 29416317 Free PMC article. Review.
Cited by
- Microbiota and COVID-19: Long-term and complex influencing factors.
Gang J, Wang H, Xue X, Zhang S. Gang J, et al. Front Microbiol. 2022 Aug 12;13:963488. doi: 10.3389/fmicb.2022.963488. eCollection 2022. Front Microbiol. 2022. PMID: 36033885 Free PMC article. Review. - Probiotics and prebiotics in clinical tests: an update.
Brüssow H. Brüssow H. F1000Res. 2019 Jul 22;8:F1000 Faculty Rev-1157. doi: 10.12688/f1000research.19043.1. eCollection 2019. F1000Res. 2019. PMID: 31354938 Free PMC article. Review. - Immunonutrition and SARS-CoV-2 Infection in Children with Obesity.
D'Auria E, Calcaterra V, Verduci E, Ghezzi M, Lamberti R, Vizzuso S, Baldassarre P, Pendezza E, Perico V, Bosetti A, Zuccotti GV. D'Auria E, et al. Nutrients. 2022 Apr 20;14(9):1701. doi: 10.3390/nu14091701. Nutrients. 2022. PMID: 35565668 Free PMC article. Review. - Nutrition, immunity and COVID-19.
Calder PC. Calder PC. BMJ Nutr Prev Health. 2020 May 20;3(1):74-92. doi: 10.1136/bmjnph-2020-000085. eCollection 2020. BMJ Nutr Prev Health. 2020. PMID: 33230497 Free PMC article. Review. - Probiotics and probiotic-based vaccines: A novel approach for improving vaccine efficacy.
Kazemifard N, Dehkohneh A, Baradaran Ghavami S. Kazemifard N, et al. Front Med (Lausanne). 2022 Oct 13;9:940454. doi: 10.3389/fmed.2022.940454. eCollection 2022. Front Med (Lausanne). 2022. PMID: 36313997 Free PMC article. Review.
References
- World Health Organization Influenza vaccine response during the start of a pandemic report of a who informal consultation held in Geneva, Switzerland 29 June–1 July 2015. Wkly. Epidemiol. Rec. 2016;91:302–303. - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical