Literature DB >> 29416317

The influence of prebiotic or probiotic supplementation on antibody titers after influenza vaccination: a systematic review and meta-analysis of randomized controlled trials.

Wei-Te Lei1, Chien-Yu Lin1, Tzu-Lin Yeh2, Pei-Ching Shih2, Shu-Jung Liu3, Chao-Hsu Lin1, Jui-Ming Liu4,5.   

Abstract

BACKGROUND: Influenza infection is a common disease with a huge disease burden. Influenza vaccination has been widely used, but concerns regarding vaccine efficacy exist, especially in the elderly. Probiotics are live microorganisms with immunomodulatory effects and may enhance the immune responses to influenza vaccination.
METHODS: We conducted a systematic review and meta-analysis to determine the influence of prebiotics/probiotics/synbiotics supplementation on vaccine responses to influenza vaccination. Studies were systematically identified from electronic databases up to July 2017. Information regarding study population, influenza vaccination, components of supplements, and immune responses were extracted and analyzed. Twelve studies, investigating a total of 688 participants, were included in this review.
RESULTS: Patients with prebiotics/probiotics supplements were found to have higher influenza hemagglutination inhibition antibody titers after vaccination (for A/H1N1, 42.89 vs 35.76, mean difference =7.14, 95% CI =2.73, 11.55, P=0.002; for A/H3N2, 105.4 vs 88.25, mean difference =17.19, 95% CI =3.39, 30.99, P=0.01; for B strain, 34.87 vs 30.73, mean difference =4.17, 95% CI =0.37, 7.96, P=0.03).
CONCLUSION: Supplementation with prebiotics or probiotics may enhance the influenza hemagglutination inhibition antibody titers in all A/H1N1, A/H3N2, and B strains (20%, 19.5%, and 13.6% increases, respectively). Concomitant prebiotics or probiotics supplementation with influenza vaccination may hold great promise for improving vaccine efficacy. However, high heterogeneity was observed and further studies are warranted.

Entities:  

Keywords:  antibody titer; immune response; influenza; influenza vaccine; prebiotics; probiotics; synbiotics

Mesh:

Substances:

Year:  2018        PMID: 29416317      PMCID: PMC5790137          DOI: 10.2147/DDDT.S155110

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

Influenza is a common infectious disease with a huge disease burden worldwide. It is estimated to be responsible for 250,000–500,000 deaths annually, especially among the elderly.1 Influenza vaccination prevents influenza infection. Usually, the influenza vaccine is composed of split virions with 2 A strains (A/H1N1 and A/H3N2) and 1 B strain (Victoria or Yamagata lineages). Influenza vaccines are widely used, but concerns regarding vaccine efficacy exist, especially in the elderly. In a meta-analysis published in 2012, the pooled efficacy was 59% in adults aged 18–65 years, and evidence of protection in the elderly was lacking.2 Low vaccine efficacy leads to inadequate protection, breakthrough infection, and influenza-related morbidity and mortality. Efforts have been made to improve the immune responses to influenza vaccines, such as adding adjuvant supplements, nutritional interventions, or increasing the vaccine dose.3,4 In summary, the efficacy of the current influenza vaccine is not satisfactory. The human intestine is host to a vast variety of microbes. Probiotics are microorganisms that have beneficial properties for the host and are known to alter the intestinal microflora.5,6 Prebiotics are defined as dietary components that stimulate the growth and metabolic activity of probiotics. Synbiotics are the combination of prebiotics and probiotics. Application of prebiotics/probiotics/synbiotics suppresses the growth of pathogenic bacteria and improves the intestinal barrier function, and is widely used in patients with gastrointestinal infections and inflammation.7,8 In addition to the beneficial effects on the intestinal tract, probiotics also have immunomodulatory effects by inducing production of protective cytokines and suppressing pro-inflammatory cytokines.9–12 Extraintestinal benefits of probiotics include immune regulations in allergic diseases, cardiovascular diseases, and suppression of tumor growth.13–15 Adjuvant probiotic use in these diseases is a potential target for future development. The beneficial properties of immune modulation that follow probiotics consumption may enhance the immune responses to influenza vaccines.16–20 Several randomized controlled trials (RCTs) have been conducted to investigate the influence of probiotics on influenza vaccines, but the results were inconsistent and inconclusive. Therefore, we conducted this systematic review and meta-analysis to evaluate the impacts of prebiotics/probiotics/synbiotics on immune responses after influenza vaccination.

Materials and methods

Study design and study selection

This study was approved by the Ethics Committees of MacKay Memorial Hospital, Taiwan (IRB No: 16MMHIS174e) and conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines.21 We systematically searched for all relevant articles in the following online databases: Embase, PubMed, the Cochrane Library, the Cumulative Index to Nursing and Allied Health, the Airiti Library, and the PerioPath Index to the Taiwan Periodical Literature in Taiwan, from the earliest record to July 2017. The Cochrane Collaboration Central Register of Controlled Clinical Trials, Cochrane Systematic Reviews, and ClinicalTrials.gov were manually searched for additional references. The key terms used for the search were “influenza vaccine”, “probiotics”, “prebiotics”, and “synbiotics”. Keywords were combined using Boolean searches and the search was made using keywords, Boolean operators, and MeSH descriptor. The detailed search strategy is enclosed as Box S1. Two authors (P-CS and S-JL) conducted the search independently, and disagreements were resolved through discussion with the third author (W-TL). After the initial search, 2 independent reviewers (P-CS and T-LY) assessed the eligibility of each publication. The inclusion criteria of selected RCTs were as follows: 1) studies in adults; 2) inclusion of a control group in the study design; 3) use of influenza vaccination and supplementation of probiotics, prebiotics, or synbiotics in the intervention group; 4) reporting of at least 1 immunological response to influenza vaccination. We excluded the following: 1) articles irrelevant to the topic; 2) duplicate publications; 3) trials of a cross-over study design; and 4) studies in which the control arm received an effective intervention rather than a placebo.

Data extraction and quality assessment

Two authors (W-TL and T-LY) independently evaluated the quality assessment of all eligible articles using the Cochrane Review risk of bias assessment tool. We assessed the adequacy of randomization, allocation concealment, blinding methods, implementation of the intent-to-treat analysis, dropout rate, complete outcome data, selective data reporting, and other biases of each enrolled publication. The articles were scrutinized, and data regarding study population, influenza vaccine components, protocols of probiotics consumption, details of vaccine immune responses, and adverse effects from the selected studies were extracted. Discrepancies between the 2 independent evaluations for potential articles were resolved through discussion and consensus. The primary outcome was the immunogenicity of influenza vaccination, presented as hemagglutination inhibition (HI) antibody titers. The HI antibody titer equals the maximum dilution capable of inhibiting the agglutination of guinea pig red blood cells, with the influenza viruses under standardized conditions.22 Other comparative variables included the components of the vaccine and probiotics, the protocols of probiotics consumption, and the serious adverse effects.

Data synthesis and analysis

Immunogenicity data from all the studies were extracted, analyzed, and compared to determine differences in the efficacy of influenza vaccination in the groups receiving prebiotics/probiotics/synbiotics supplementation and the placebo groups. Due to significant (and expected) heterogeneity among the studies, a random effects model was employed.23 The results were represented by a point estimate with a 95% CI. The heterogeneity across studies was tested using I2 and Cochran’s Q tests. A P-value <0.10 for chi-square testing of the Q statistic or an I2>50% was considered as statistically significant heterogeneity.24 A sensitivity analysis was performed by removing some studies to observe whether the action caused serious changes in the overall results. The potential publication bias was assessed by observing the symmetry of funnel plots and using Egger’s test.25 Review Manager (version 5.3.5) was used for our analyses.

Results

Description of studies and quality assessment

Of the 22 non-duplicate citations identified from the literature, 2 studies were not RCTs and 20 were ultimately assessed for eligibility (Figure 1). Finally, 11 publications with 12 RCTs were included in our qualitative synthesis after critical review (Table 1).26–36 Two trials (a pilot and a confirmatory study) with different patient numbers, treatment protocols, and years of study were published in the same article.34 Seven studies investigated the effects of probiotics, and five studies investigated the effects of prebiotics. One study investigating synbiotics was excluded, after critical review, for using a different outcome parameter.37 The included studies were conducted in the USA, France, Japan, and the UK. In total, 780 patients were enrolled in these studies with female predominance (M:F =1:2.1). Five different probiotics and 5 different prebiotics were used in the intervention arm. The trivalent inactivated influenza vaccines (TIV) were used in most studies (10/12). Most of the included studies had a low bias, as shown by our quality assessment using the Cochrane assessment tool. The detailed quality assessment of each included study is shown in Table S1.
Figure 1

Flow diagram showing the selection of articles for review.

Abbreviations: CINAHL, Cumulative Index to Nursing and Allied Health; NTLTD, Networked Digital Library of Theses and Dissertations; RCT, randomized controlled trials.

Table 1

Characteristics of randomized controlled trials investigating the influence of prebiotics/probiotics on influenza vaccination

Reference, yearCountryParticipants (M%:F%)Age (years; mean [SD])Supplement duration: total weeks (before/after vaccination)Strains of supplementsType of vaccineComponents of vaccineSevere adverse events
Probiotics
Olivares et al, 200767Spain50 healthy adults (62%:38%)33.00 (7.70)4 (2/2)Lactobacillus fermentum CECT5716 l×1010 CFU dailyTIVH1N1: New Caledonia/20/99H3N2: Fujian/411/2002B: Shanghai/361/2002Nil
French and Penny, 200968Australia47 healthy adults (41%:59%)31.55 (6.72)6 (214)L. fermentum VRI 003 1×109 CFUTIVH1N1: New Caledonia/20/99H3N2: Wisconsin/67/2005B: Malaysia/2506/200430
Boge et al, 2009 (pilot)34,aFrance68 adults in nursing home (44%:56%)83.64 (7.70)7 (4/3)L. casei DN-114 001 twice dailyTIVH1N1: New Caledonia/20/99H3N2: Wisconsin/67/2005B: Malaysia/2506/2004NR
Boge et al, 2009 (confirmed)34,aFrance222 elders in nursing home (33%:67%)84.64 (6.72)13 (4/9)L. casei DN-114 001 twice dailyTIVH1N1: New Caledonia/20/99H3N2: California/7/2004B: Shanghai/361/2002aB: Jiangsu/10/2003a30
Namba et al, 201033,aJapan27 elders in health care facility (11%:89%)86.70 (6.60)20 (3/17)Bifidobacterium longum BB536 l×1011 CFU dailyTIVH1N1: New Caledonia/20/99H3N2: Wyoming/3/2003B: Shanghai/361/2002NR
Davidson et al, 201132,aUSA42 healthy adults (38%:62%)33.304 (4/0)L rhamnosus GG 1×1010 CFU twice dailyLA1VH1N1: Solomon lslands/3/2006H3N2: Wisconsin/67/2005B: Malaysia/2506/20041
Van Puyenboreck et al, 201269Belgium737 healthy adults in nursing home (25%:75%)84.0625 (3/22)L. casei Shirola 6.5×109 CFU twice dailyTIVH1N1: Solomon Islands/3/2006 IVR-145H3N2: Wisconsin/67/2005Malaysia/2506/2004NR
Rizzardini et al, 201270Italy211 healthy adults (44%:56%)33.26 (2/4)BB-12® (DSM15954) 1×109 CFU L. casei 431® (ATCC55544) dailyTIVH1N1: Brisbane/59/2007H3N2: Uruguay/716/2007B: Florida/4/2006Nil
Bosch et al, 201271Spain60 adults in nursing home (NR)65–8512 (0/12)L. plantarum CECT7315/7316 dailyGroup A: 5×109 CFUGroup B: 5×108 CFUTIVH1N1: Solomon Islands/3/2006 1VR-145H3N2: Wisconsin/67/2005B: Malaysia/2506/2004NR
Akatsu et al, 2013 (paper)30,aJapan45 enteral tube feeding adults (29%:71%)81.70 (8.70)12 (4/8)Bifidobacterium strain, BB536 5×1010 CFU twice dailyTIVH1N1: Brisbane/59/2007H3N2: Uruguay/716/2007B: Brisbane/60/2008Nil
Akatsu et al, 2013 (letter)30,aJapan15 adults in nursing home (47%:53%)75.74 (7.22)12 (3/9)L. paracasei MoLac 1×1011 CFUTIVA/H1N1: Brisbane/59/2007A/H3N2: Uruguay/716/2007B strain: Brisbane/60/2008NR
Jespersen et al, 201572Germany, Denmark1,104 healthy adults (41%:59%)31.456 (3/3)L. casei 43/(ATCC55544) l×109 CFU dailyTIVA/H1N1: Califonia/7/2009A/H3N2: Perth/16/2009B strain: Brisbane/60/20085
Maruyama et al, 201626,aJapan42 elders in nursing home (19%:81%)87.15 (5.71)6 (3/3)L. paracasei MCC 1,849 1×1011 CFU dailyTIVA/H1N1: California/7/2009 pdm09A/H3N2: Texas/50/2012B strain: Massachusetts/2/2012 (Yamagata lineage)Nil
Prebiotics
Bunout et al, 200273Chile66 healthy elders (similar%)75.7328 (1/27)FOS (70% raftilose 30% raftiline) 2 sachets dailyTIVA/H1N1: CaledoniaA/H3N2: Moscow, SydneyB strain: Belgium (code 184–93)3
Langkamp-Henken et al, 200436,aUSA66 healthy elders (47%:53%)81.54 (1.35)26 (2/24)High oleic safflower oil, soybean oil, FOS, structured TG 8 oz dailyTIVA/H1N1: Beijing/262/95A/H3N2: Sydney/5/97B strain: Yamanashi/166/98 (B/Beijing/184/93-like)NR
Langkamp-Henken et al, 200635,aUSA157 frail elders in LTCI facilities (28%:72%)83.36 (0.80)10 (4/6)Antioxidants, B vitamins, selenium, zinc, FOS, structured TG 240 mL dailyTIVA/H1N1: Caledonia/20/99A/H3N2: Panama/2007/99B strain: Hong Kong/1434/2002NR
Nagafuchi et al, 201528,aJapan24 enteral tube feeding elders (46%:54%)80.30 (9.80)14 (4/10)BGS (1.65 µg/100 kcal), DHNA, GOS (0.4 g/100 kcal), fermented milk productsTIVA/H1Nl: California/7/2009A/H3N2: Victoria/210/2009B strain: Brisbane/60/2008Nil
Lomax et al, 201529,aUK49 healthy adults (26%:74%)54.988 (4/4)50:50 mixture of long-chain inulin and oligofructose 8 g dailyTIVA/H1N1: Brisbane/59/2007-likeA/H3N2: Brisbane/10/2007-likeB strain: Florida/4/2006-likeNR
Akatsu et al, 201627,aJapan23 PEG-fed bedridden elders (13%:87%)78.98 (9.09)8 (4/4)Heat-treated lactic acid bacteria fermented milk products, GOS 4 g/day, BGS 0.4 g/dayLAIVA/H1N1: Solomon Islands/3/2006A/H3N2: Hiroshima/52/2005B strain: Malaysia/2506/2004NR
Synbiotics
Enani et al, 201737UK112 healthy adults (NR)18–35 60–858 (4/4)Bifidobacterium longum l×109 CFU with GI-OS 8 g dailyTIVA/H1N1: California/17/2009 pdm09A/H3N2: Perth/16/2009B strain: Brisbane/60/2008NR

Note:

Included in meta-analysis.

Abbreviations: BGS, bifidogenic growth stimulator; CFU, colony-forming unit; DHNA, 1,4-dihydroxy-2-naphthoic acid; FOS, fructooligosaccharides; GOS, galactooligosaccharide; LAIV, live attenuated influenza vaccine; LTC, long term care facilities; Nil, no serious adverse events; NR, not reported; PEG, percutaneous endoscopic gastrostomy; TG, triglycerol; TIV, trivalent inactivated influenza vaccine.

Data synthesis and meta-analysis

Ultimately, 688 patients were enrolled in our meta-analysis. By comparing the HI titers of strain A/H1N1 after influenza vaccination, we found a significantly higher HI titers in the probiotics/prebiotics group (42.89 vs 35.76, mean difference =7.14, 95% CI =2.73, 11.55, P<0.001, I2=96%) (Figure 2). For strain A/H3N2, similar increase in HI titers was observed (105.4 vs 88.25, mean difference =17.19, 95% CI =3.39, 30.99, P<0.001, I2=100%) (Figure 3). In patients with prebiotics/probiotics supplement, higher immune responses after influenza vaccination was noticed for strain B (34.87 vs 30.73, mean difference =4.17, 95% CI =0.37, 7.96, P<0.001, I2=94%) (Figure 4). The percentages of increases were 20% (A/H1N1), 19.5% (A/H3N2), and 13.6% (B strain); the mean HI antibody titers are summarized in Table 2. Subgroup analysis of prebiotics and probiotics showed similar results. The heterogeneity was high in all analyses. We found no significant differences in serious adverse effects in either arm (Figure 5). The funnel plots were also assessed (Figures S1–S3).
Figure 2

Forest plot of the HI titers of A/H1N1 strain after influenza vaccination between the prebiotic or probiotic group, and the placebo group.

Abbreviations: HI, hemagglutination inhibition; IV, inverse variance.

Figure 3

Forest plot of the HI titers of A/H3N2 strain after influenza vaccination between prebiotic or probiotic group, and placebo group.

Abbreviations: HI, hemagglutination inhibition; IV, inverse variance.

Figure 4

Forest plot of the HI titers of B strain between prebiotic or probiotic group, and placebo group.

Abbreviations: HI, hemagglutination inhibition; IV, inverse variance.

Table 2

The mean hemagglutination inhibition antibody titers of vaccine strains in probiotics/prebiotics and control groups

Vaccine strainProbiotics/prebiotics groupControl groupMean differences (% of increase)P-value
A/H1N142.8935.767.14 (20)0.002
A/H3N2105.488.2517.19 (19.5)0.01
B34.8730.734.17 (13.6)0.03
Figure 5

Forest plot of the incidence of adverse effect between prebiotic or probiotic group, and placebo group.

Abbreviation: M–H, Mantel–Haenszel method.

Discussion

Our systematic review and meta-analysis support the beneficial effects of prebiotic/probiotic supplementation on humoral responses to influenza vaccination. We found that supplementation with pre- or probiotics enhanced the HI titers in all A/H1N1, A/H3N2, and B strains (20%, 19.5%, and 13.6% increases in HI antibody titers, respectively). Concomitant prebiotics/probiotics supplementation potentially improved the protection of influenza vaccination and decreased the subsequent risk of influenza-related morbidity and mortality. However, high heterogeneity was noted and further studies are warranted to consolidate this suggestion. Influenza is highly contagious and virulent. Despite widespread use of influenza vaccination, it remains an important health threat. Currently, the effectiveness of influenza vaccination is not satisfactory and multiple factors contribute to the low effectiveness, including antigen drift, season mismatch, and manufacture technique limitations.2,38,39 Elderly individuals have both the highest burden of disease and the lowest immune responses to vaccination.40–42 The protection rate may be as low as 30% in elderly people after vaccination and little evidence is found supporting the benefits of influenza vaccination in the elderly.40,41 Immunosenescence, gradual deterioration of the immune system brought on by natural aging, also plays an important role in the hyporesponsiveness of influenza vaccination.43 Poorer nutritional status and higher rates of comorbid diseases are also important reasons for the nearly inevitable weak immune responses after vaccination in the elderly.44,45 The TIV with high doses (4× the standard dose) induced significantly higher antibody responses in elderly people, but are not widely used.3 Supplementation with prebiotics/probiotics may provide a simple, convenient, and practical solution.16–18,20,46,47 Besides, probiotics consumption may have beneficial effects in preventing respiratory tract infections and influenza-related illnesses.48,49 Our study provided comprehensive evidence that prebiotic/probiotic use will enhance the HI antibody titer after influenza vaccination. In addition, the immunogenicity of influenza vaccination may be affected by the components of vaccine strains. Compared with A/H1N1 and A/H3N2 strains, poorer antigen immunogenic responses in B strain were reported in previous studies.50–52 Our studies also showed relatively lower HI antibody titers in B strain (Table 2). However, the beneficial effects of prebiotic/probiotic supplementation were observed in all A/H1N1, A/H3N2, and B strains. A 20% (A/H1N1), 19.5% (A/H3N2), and 13.6% (B strain) increase in HI antibody titers was observed in individuals with prebiotics/probiotics use. Consumption of “good bacteria” could suppress the growth of pathogenic bacteria in the gastrointestinal tract and improve the intestinal barrier function.6,7 The use of prebiotics/probiotics in patients with bacterial diarrhea is well known.8,53–55 Probiotics are also used to prevent necrotizing enterocolitis and sepsis in preterm neonates and may also contribute to adjuvant therapy in eradication of Helicobacter pylori.54,56–60 In addition to the beneficial effects in the gastrointestinal tract, systemic immunomodulatory effects, toll-like receptor-mediated pathways, regulatory T cell induction, natural killer cells, soluble proteins, and various cytokines were involved in the probiotic immune regulatory mechanism.5,9–12,61 Therefore, manipulation of the gut microbiota may benefit patients with systemic diseases, such as allergic diseases.14 Reduced risks of subsequent cardiovascular diseases and metabolic outcomes were also observed.15,62 In a report published in 2016, it was stated that probiotic-modulated gut microbiota may suppress hepatocellular carcinoma growth in mice via regulation of T cell and pro-inflammatory cytokines.13 The use of prebiotics/probiotics/synbiotics may hold great promise for preventing and treating many extraintestinal diseases. Probiotics are “live” bacteria, which help human to fight against pathogenic bacteria. Although the benefits of probiotics in preterm neonates are well documented, safety of probiotics in immunocompromised individuals remains a major concern.56–58 Bacteremia caused by probiotics strains was reported in some immunocompromised patients.63–66 Elderly people are at increased risk of being immunocompromised and the issue of safety remains important. In our meta-analysis studies, more than half of the participants were bedridden, fed with nasogastric tubes, or nursing home residents; no documented probiotics-related sepsis was reported.26–28,30,31,34,35 Furthermore, in the subgroup analysis of our study, prebiotics were also beneficial for enhancing immune responses after influenza vaccination. Prebiotic use may be a reasonable choice for immunocompromised patients at increased risk for infection. Our study had some limitations. First, the study design, study participants, and study period were highly heterogeneous. Further large-scale studies are warranted to confirm our findings. Second, the strain, doses, and the duration of prebiotics/probiotics supplementation differed among studies. The immune responses may vary in different supplement protocol. Further studies are required to investigate the optimal strain, dosage, and duration of probiotic consumption. Finally, the components of the influenza vaccine and prevalent influenza strains were different each year. It may be more valuable to explore the effects of probiotics with the same influenza vaccine.

Conclusion

Our study suggests that concomitant prebiotics/probiotics use might be an effective intervention to enhance the HI antibody titer following influenza vaccination (13.6%–20% increases in HI antibody titers). Adjuvant prebiotics/probiotics use may hold great promise for the improvement of immune responses following influenza vaccination. However, high heterogeneity was observed and further studies are warranted to elucidate the effectiveness and decide the optimal strains, dose, timing, and duration of supplementation. Funnel plot of strain A/H1N1. Abbreviations: MD, mean difference; SE, standard error. Funnel plot of strain A/H3N2. Abbreviations: MD, mean difference; SE, standard error. Funnel plot of strain B. Abbreviations: MD, mean difference; SE, standard error. Quality assessment of each included studya Notes: Each domain has been evaluated as being “High”, “Low”, or “Unclear” regarding the risk of bias following the guidelines of Cochrane Collaboration’s tool for assessing risk of bias. “Low” in all domains would place a study at “Low Risk of Bias”; “High” in any of the domains would place a study at “High Risk of Bias”; “Unclear” in any of the domains would place the study at “Unclear Risk of Bias”. Not mentioned. Un-blinded, open-labeled. Drop-off rate >10%. Missing data/data lost. Conflict of interest, financial supports. Authors employed by funding companies. Abbreviations: CAIV-T, cold-adapted influenza vaccine, trivalent; CINAHL, Cumulative Index to Nursing and Allied Health; LAIV, live attenuated influenza vaccine; NTLTD, Networked Digital Library of Theses and Dissertations.
Table S1

Quality assessment of each included studya

Study validity domainsSequence generationAllocation concealmentBlinding of participants and personnel and outcome assessorsIncomplete outcome dataSelective outcome reportingOther sources of bias
Probiotics
Olivares1LowUnclearbUnclearbLowLowLow
French and Penny2LowLowLowLowLowUncertainf
Boge et al (pilot)3LowLowLowHighdLowUncertainf
Boge et al (confirmed)3LowLowLowHighdLowUncertainf
Namba et al4LowUnclearbUnclearbHighdLowUncertainf
Davidson et al5LowLowLowLowLowLow
Van Puyenbroeck6LowLowLowHighdHigheUncertainf
Rizzardini7LowLowLowLowLowUncertainf
Bosch8UnclearbUnclearbLowHighdLowHighg
Akatsu et al9,a (letter)UnclearbUnclearbHighcLowUncertainbUncertainf
Akatsu et al10,b (paper)LowUnclearbUnclearbLowLowUncertainf
Jespersen11LowLowLowLowHigheUncertainf
Maruyama et al12LowLowLowLowLowLow
Prebiotics
Bunout13LowUnclearbLowHighdLowUncertainf
Langkamp-Henken et al14LowLowUnclearbHighdLowUncertainf
Langkamp-Henken et al15UnclearbLowLowHighdLowHighg
Nagafuchi et al16UnclearbUnclearbHighcLowLowUncertainf
Lomax et al17UnclearbLowUnclearbHighdHigheUncertainf
Akatsu et al18UnclearbUnclearbHighcLowLowUncertainf
Synbiotics
Enami19UnclearbLowLowHighdUnclearUnclearf

Notes:

Each domain has been evaluated as being “High”, “Low”, or “Unclear” regarding the risk of bias following the guidelines of Cochrane Collaboration’s tool for assessing risk of bias. “Low” in all domains would place a study at “Low Risk of Bias”; “High” in any of the domains would place a study at “High Risk of Bias”; “Unclear” in any of the domains would place the study at “Unclear Risk of Bias”.

Not mentioned.

Un-blinded, open-labeled.

Drop-off rate >10%.

Missing data/data lost.

Conflict of interest, financial supports.

Authors employed by funding companies.

PubMed
((((Flu Vaccine* OR Afluria OR Influenza Vaccine* OR Afluria OR Influenzavirus Vaccine* OR LAIV vaccine OR FluMist OR CAIV-T vaccine OR Trivalent Live Attenuated Influenza Vaccine OR Influenza Virus Vaccine*)) OR ((((Influenza, Human) OR (lnfluenza* OR flu)))in All Fields
AND
((Vaccination) OR vaccine*)))) in All Fields
AND
((((((((Probiotics) OR Bifidobacterium longum) OR Lactobacillus rhamnosus) OR (Lactic acid bacteria OR Lactobacillus acidophilus OR Lactobacillus amylovorus OR Lactobacillus Streptococcus faecalis OR L. acidophilus OR B. lactis OR Bifidobacterium OR B. bifidum OR B. longum OR Bifidobacter* OR Lactobacillus casei OR Lactobacillus paracasei OR Lactobacillus rhamnosus OR Lactobacillus GG OR Culturelle)) OR probiotic*)) OR ((Prebiotics) OR ((Prebiotic* OR Oligosaccharid*)))) OR ((Synbiotics) OR Synbiotic*)) in All Fields
Embase
Influenza Vaccines OR Flu Vaccine* OR Afluria OR Influenza Vaccines OR Flu Vaccine* OR Afluria OR Influenzavirus Vaccine* OR LAIV vaccine OR FluMist OR CAIV-T vaccine OR Trivalent Live Attenuated Influenza Vaccine OR Influenza Virus Vaccine*
AND
Vaccination OR vaccine*
AND
((((((((Probiotics) OR Bifidobacterium longum) OR Lactobacillus rhamnosus) OR (Lactic acid bacteria OR Lactobacillus acidophilus OR Lactobacillus amylovorus OR Lactobacillus Streptococcus faecalis OR L. acidophilus OR B. lactis OR Bifidobacterium OR B. bifidum OR B. longum OR Bifidobacter* OR Lactobacillus casei OR Lactobacillus paracasei OR Lactobacillus rhamnosus OR Lactobacillus GG OR Culturelle)) OR probiotic*)) OR ((Prebiotics) OR ((Prebiotic* OR Oligosaccharid*)))) OR ((Synbiotics) OR Synbiotic*))
Cochrane
Influenza Vaccines OR Flu Vaccine* OR Afluria OR Influenza Vaccines OR Flu Vaccine* OR Afluria OR Influenzavirus Vaccine* OR LAIV vaccine OR FluMist OR CAIV-T vaccine OR Trivalent Live Attenuated Influenza Vaccine OR Influenza Virus Vaccine*
AND
Vaccination OR vaccine*
AND
((((((((Probiotics) OR Bifidobacterium longum) OR Lactobacillus rhamnosus) OR (Lactic acid bacteria OR Lactobacillus acidophilus OR Lactobacillus amylovorus OR Lactobacillus Streptococcus faecalis OR L. acidophilus OR B. lactis OR Bifidobacterium OR B. bifidum OR B. longum OR Bifidobacter* OR Lactobacillus casei OR Lactobacillus paracasei OR Lactobacillus rhamnosus OR Lactobacillus GG OR Culturelle)) OR probiotic*)) OR ((Prebiotics) OR ((Prebiotic* OR Oligosaccharid*)))) OR ((Synbiotics) OR Synbiotic*))
CINAHL
((((Flu Vaccine* OR Afluria OR Influenza Vaccine* OR Afluria OR Influenzavirus Vaccine* OR LAIV vaccine OR FluMist OR CAIV-T vaccine OR Trivalent Live Attenuated Influenza Vaccine OR Influenza Virus Vaccine*)) OR ((((Influenza, Human) OR (lnfluenza* OR flu)))
AND
((Vaccination) OR vaccine*))))
AND
((((((((Probiotics) OR Bifidobacterium longum) OR Lactobacillus rhamnosus) OR (Lactic acid bacteria OR Lactobacillus acidophilus OR Lactobacillus amylovorus OR Lactobacillus Streptococcus faecalis OR L. acidophilus OR B. lactis OR Bifidobacterium OR B. bifidum OR B. longum OR Bifidobacter* OR Lactobacillus casei OR Lactobacillus paracasei OR Lactobacillus rhamnosus OR Lactobacillus GG OR Culturelle)) OR probiotic*)) OR ((Prebiotics) OR ((Prebiotic* OR Oligosaccharid*)))) OR ((Synbiotics) OR Synbiotic*))
Airiti
流感 OR 流行性感冒 OR 感冒
AND
疫苗
AND
益生菌 OR 乳酸菌 OR 龍根菌 OR 益菌生 OR 益生源 OR 合生元 OR 共生質 OR 合益菌
NTLTD
流感 + 流行性感冒 + 感冒
AND
疫苗
AND
益生菌 + 乳酸菌 + 龍根菌 + 益菌生 + 益生源 + 合生元 + 共生質 + 合益菌
  72 in total

1.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

2.  Nutritional formula enhanced immune function and reduced days of symptoms of upper respiratory tract infection in seniors.

Authors:  Bobbi Langkamp-Henken; Bradley S Bender; Elizabeth M Gardner; Kelli A Herrlinger-Garcia; Michael J Kelley; Donna M Murasko; Joseph P Schaller; Joyce K Stechmiller; Debra J Thomas; Steven M Wood
Journal:  J Am Geriatr Soc       Date:  2004-01       Impact factor: 5.562

3.  Influenza in elderly people in care homes.

Authors:  Rachel E Jordan; Jeremy I Hawker
Journal:  BMJ       Date:  2006-12-16

4.  Evaluation of the immune benefits of two probiotic strains Bifidobacterium animalis ssp. lactis, BB-12® and Lactobacillus paracasei ssp. paracasei, L. casei 431® in an influenza vaccination model: a randomised, double-blind, placebo-controlled study.

Authors:  Giuliano Rizzardini; Dorte Eskesen; Philip C Calder; Amedeo Capetti; Lillian Jespersen; Mario Clerici
Journal:  Br J Nutr       Date:  2011-09-07       Impact factor: 3.718

Review 5.  The influence of probiotics on vaccine responses - A systematic review.

Authors:  Petra Zimmermann; Nigel Curtis
Journal:  Vaccine       Date:  2017-09-18       Impact factor: 3.641

Review 6.  Breakthrough Lactobacillus rhamnosus GG bacteremia associated with probiotic use in an adult patient with severe active ulcerative colitis: case report and review of the literature.

Authors:  Simone Meini; Raffaele Laureano; Lucia Fani; Carlo Tascini; Angelo Galano; Alberto Antonelli; Gian Maria Rossolini
Journal:  Infection       Date:  2015-05-30       Impact factor: 3.553

7.  Probiotic effects on cold and influenza-like symptom incidence and duration in children.

Authors:  Gregory J Leyer; Shuguang Li; Mohamed E Mubasher; Cheryl Reifer; Arthur C Ouwehand
Journal:  Pediatrics       Date:  2009-07-27       Impact factor: 7.124

8.  Double blind, placebo controlled trial of two probiotic strains in interleukin 10 knockout mice and mechanistic link with cytokine balance.

Authors:  J McCarthy; L O'Mahony; L O'Callaghan; B Sheil; E E Vaughan; N Fitzsimons; J Fitzgibbon; G C O'Sullivan; B Kiely; J K Collins; F Shanahan
Journal:  Gut       Date:  2003-07       Impact factor: 23.059

Review 9.  Probiotics for preventing acute upper respiratory tract infections.

Authors:  Qiukui Hao; Bi Rong Dong; Taixiang Wu
Journal:  Cochrane Database Syst Rev       Date:  2015-02-03

10.  Consumption of Dairy Yogurt Containing Lactobacillus paracasei ssp. paracasei, Bifidobacterium animalis ssp. lactis and Heat-Treated Lactobacillus plantarum Improves Immune Function Including Natural Killer Cell Activity.

Authors:  Ayoung Lee; Young Ju Lee; Hye Jin Yoo; Minkyung Kim; Yeeun Chang; Dong Seog Lee; Jong Ho Lee
Journal:  Nutrients       Date:  2017-05-31       Impact factor: 5.717

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  27 in total

Review 1.  Probiotics for the Management of Infectious Diseases: Reviewing the State of the Art.

Authors:  Cato Wiegers; Linda H M van de Burgwal; Olaf F A Larsen
Journal:  Front Microbiol       Date:  2022-04-28       Impact factor: 6.064

Review 2.  The role of systems biology approaches in determining molecular signatures for the development of more effective vaccines.

Authors:  Abdulmohammad Pezeshki; Inna G Ovsyannikova; Brett A McKinney; Gregory A Poland; Richard B Kennedy
Journal:  Expert Rev Vaccines       Date:  2019-02-11       Impact factor: 5.217

Review 3.  Viral Infections, the Microbiome, and Probiotics.

Authors:  Ashton Harper; Vineetha Vijayakumar; Arthur C Ouwehand; Jessica Ter Haar; David Obis; Jordi Espadaler; Sylvie Binda; Shrilakshmi Desiraju; Richard Day
Journal:  Front Cell Infect Microbiol       Date:  2021-02-12       Impact factor: 6.073

Review 4.  Does Vitamin D Deficiency Affect the Immunogenic Responses to Influenza Vaccination? A Systematic Review and Meta-Analysis.

Authors:  Ming-Dar Lee; Chao-Hsu Lin; Wei-Te Lei; Hung-Yang Chang; Hung-Chang Lee; Chun-Yan Yeung; Nan-Chang Chiu; Hsin Chi; Jui-Ming Liu; Ren-Jun Hsu; Yu-Jyun Cheng; Tzu-Lin Yeh; Chien-Yu Lin
Journal:  Nutrients       Date:  2018-03-26       Impact factor: 5.717

Review 5.  Nutrition, immunity and COVID-19.

Authors:  Philip C Calder
Journal:  BMJ Nutr Prev Health       Date:  2020-05-20

6.  A paediatric influenza update 100 years after the Skyros island Spanish flu outbreak.

Authors:  Ioannis N Mammas; Maria Theodoridou; Prakash Thiagarajan; Angeliki Melidou; Georgia Papaioannou; Paraskevi Korovessi; Chryssie Koutsaftiki; Alexia Papatheodoropoulou; Marcos Calachanis; Tina Dalianis; Demetrios A Spandidos
Journal:  Exp Ther Med       Date:  2019-04-22       Impact factor: 2.447

Review 7.  Nutrition and immunity: lessons for COVID-19.

Authors:  Philip C Calder
Journal:  Nutr Diabetes       Date:  2021-06-23       Impact factor: 5.097

Review 8.  Nutrition and immunity: lessons for COVID-19.

Authors:  Philip C Calder
Journal:  Eur J Clin Nutr       Date:  2021-06-23       Impact factor: 4.884

Review 9.  A Rapid Advice Guideline for the Prevention of Novel Coronavirus Through Nutritional Intervention.

Authors:  Savita Budhwar; Kashika Sethi; Manali Chakraborty
Journal:  Curr Nutr Rep       Date:  2020-09

Review 10.  The Evolving Microbiome from Pregnancy to Early Infancy: A Comprehensive Review.

Authors:  María Dolores Mesa; Begoña Loureiro; Iris Iglesia; Sergi Fernandez Gonzalez; Elisa Llurba Olivé; Oscar García Algar; María José Solana; Mª Jesús Cabero Perez; Talia Sainz; Leopoldo Martinez; Diana Escuder-Vieco; Anna Parra-Llorca; María Sánchez-Campillo; Gerardo Rodriguez Martinez; Dolores Gómez Roig; Myriam Perez Gruz; Vicente Andreu-Fernández; Jordi Clotet; Sebastian Sailer; Isabel Iglesias-Platas; Jesús López-Herce; Rosa Aras; Carmen Pallás-Alonso; Miguel Saenz de Pipaon; Máximo Vento; María Gormaz; Elvira Larqué Daza; Cristina Calvo; Fernando Cabañas
Journal:  Nutrients       Date:  2020-01-02       Impact factor: 5.717

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