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Dietary Supplementation of Tannins: Effect on Growth Performance, Serum Antioxidant Capacity, and Immunoglobins of Weaned Piglets—A Meta-Analysis

A peer-reviewed version of this preprint was published in:
Antioxidants 2024, 13(2), 236. https://doi.org/10.3390/antiox13020236

Submitted:

17 January 2024

Posted:

17 January 2024

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Abstract
Over recent years, the swine industry has witnessed the withdrawal of antibiotics and continuous regulation of zinc and copper oxides in the early-life nutrition of piglets. Due to this development, alternative ingredients or additives from plant sources have been tremendously explored. Therefore, this study's objective was to evaluate the effect of dietary supplementation with tannins on weaned piglets’ growth performance, serum antioxidant capacity, and immune status using a meta-analysis approach. With only the inclusion of non-challenged weaned piglets, a total of 16 studies with parameters of interest were deemed eligible after a two-step screening process following a comprehensive literature search in the scientific databases of Web of Science, Scopus, ScienceDirect, PubMed, and Google Scholar. Two main categories of data, including the study’s characteristics and response variables (growth performance, serum antioxidant, and immune indices), were extracted. Applying the random-effects models, Hedges’ g effect size of supplementation with tannins was calculated using the R software to determine the standardized mean difference (SMD) at a 95% confidence interval. Sub-group analysis and meta-regression further explored heterogeneity (PSMD 0.05, I2 50%, n ≥10). Supplementation with tannin reduced average daily gain (p = 0.20) and feed conversion ratio (p 0.01); however, it increased average daily feed intake (p = 0.07) and final body weight (p 0.01). Meta-regression models indicated that tannin dosage and supplementation duration were directly associated with tannins' effectiveness on productive performance. In the serum, the concentration of glutathione peroxidase, superoxide dismutase, and total antioxidant capacity were elevated (p 0.01) in response to tannins supplementation, while malondialdehydes was reduced (p 0.01). Likewise, decreased immunoglobin A (p = 0.47) and increased immunoglobin M and G levels (p 0.01) were detected. In conclusion, dietary supplementation with tannins, particularly with chestnut and grape seed proanthocyanidins, increases the productivity of weaned piglets. At the same time, it is a possible nutritional strategy to mitigate oxidative stress and stimulate gut health. Thus, supplementing chestnut and grape seed proanthocyanidin tannins in the early phase of swine production could be used to alleviate the incidence of diarrhea.
Keywords: 
tannins
;  
weaned piglets
;  
antibiotics
;  
antioxidants
;  
immunity
;  
performance
;  
early-life nutrition
;  
meta-analysis
Subject: 
Biology and Life Sciences  -   Animal Science, Veterinary Science and Zoology

1. Introduction

Weaning, a common and obligatory husbandry practice, is recognized to be one of the most critical phases in the modern swine industry [1]. Recently, piglets are weaned at 19–25 days to increase sow reproductive efficiency, thus improving annual productivity [2]. However, this early weaning, linked with immature digestive and immune organs [3], injury of the gastrointestinal barrier, and a decline in metabolism [4], poses substantial physiological, environmental, and social stressors for piglets, including abrupt separation from their mothers, exposure to unfamiliar piglets, establishment of a new social hierarchy, different housing conditions, and changes in feed sources [2,5]. Piglets, during this phase, are exposed to the risk of severe diarrhea, digestion, intestinal absorption, growth retardation, and even death, which usually cause enormous economic losses to the swine industry [6,7].
Hence, in diets for weaned piglets, a variety of antibiotics and chemical growth promoters, including zinc oxide (ZnO) and copper oxide (CuO), have been explored to improve piglets’ health [8]. Yet, the indiscriminate use of antibiotics has increased bacteria resistant to their effects, representing a significant threat to the health of animals and humans [9]. Likewise, zinc and copper oxide at pharmacological doses [10] are phased out by the European Commission as a veterinary instrument in the entire union; their use is currently regulated in other countries due to their potency as heavy metal contaminants in the environment and the issue of resistance to certain bacteria [11,12,13]. Thus, prohibiting antibiotics, zinc, and copper oxide in piglet diets poses a significant challenge for the swine industry. This situation has spawned researchers' interest in exploring and developing new natural alternatives possessing efficient properties to maintain the gut health of piglets during weaning, thereby further supporting animal performance [14,15]. Among these natural alternatives, tannin, a secondary plant metabolite, holds immense potential.
Tannin, an astringent group of polyphenolic compounds [16] of high molecular weight [17], mainly existing in a wide variety of plants, are classified into hydrolysable tannins (HTs) and condensed tannins (CTs) based on their chemical structure [18,19]. Condensed tannins are polymers of flavin-3-ols, flavin-4-diols, or related flavanol residues linked via carbon-carbon bonds [20]. Hydrolysable tannins, conversely, are heterogeneous groups of natural polyphenolic compounds, water-soluble, widely found in vegetable feedstuffs, and can be extracted from the wood of trees [21]. The unique structures and mechanisms of tannins provide beneficial effects of their antimicrobial, antioxidant, and radical scavenging, antidiarrhea, anticancerogenic, and anti-inflammatory activities in weaned pigs [9,22]. Recent studies demonstrated that basal diet supplemented with tannins could improve health status and animal performance and positively affect small intestine morphometric traits in monogastric animals [23,24,25].
Remarkably, in weaned piglets, heterogeneous results have been reported on the effects of dietary tannins to enhance growth performance and antioxidant status in the blood, modulate intestinal microbiota, and decrease the incidence of diarrhea during the post-weaning period [17,22,23,26,27,28,29,30,31,32,33]. According to Huang, et al. [34], the chemical characteristics of tannins could be related to these inconsistent results, which can compromise the palatability, digestibility, and protein use of feed. Thus, rendering the results obtained to date heterogeneous and inconclusive, probably as a consequence of discrepancy among studies regarding the feeding conditions, age of the piglets, the type of tannins (HTs or CTs), source of tannins, the dosage of tannins, and duration of tannins supplementation [23,34,35]. Therefore, it has become imperative to investigate and control the source of heterogeneity as a critical attribute in developing tannin-containing products to enhance the growth performance, serum antioxidant capacity, and serum health indices of weaned piglets.
Few studies presented in the literature have reviewed tannin supplementation in improving livestock's productive performance and health status [35,36,37,38,39,40,41,42,43,44], with the majority adopting a narrative approach. However, none of these reviews focused on weaned piglets using a meta-analytic method. Meta-analysis (MA), according to Higgins and Green [45], is a statistical method used to combine results from the relevant studies, and the resultant larger sample size provides more excellent reliability (precision) of the estimates of any treatment effect. Additionally, the heterogeneity sources among the diverse related studies can be explored using MA, which helps obtain additional information about the variability of the observed outcomes in response to a specific treatment [45]. Although the MA use in animal nutritional studies is gaining momentum, its utilisation in weaned piglets tannin supplementation is scarce. Hence, we hypothesized that tannin supplementation to the basal diet would positively modify the productive performance, serum antioxidant status, and immune indices of piglets. Therefore, this meta-analysis aimed to evaluate the effect of dietary supplementation with tannins on weaned piglets’ growth performance, serum antioxidant capacity, and serum immune status. We further explored the heterogeneity of the outcomes by meta-regression analysis to identify the percentage of variation explained by the regression model.

2. Materials and Methods

2.1. Literature Search and Study Selection

This meta-analysis follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) updated guidelines [46] for identifying, selecting, choosing, and including information, as shown in Figure 1.
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Figure 1. Systematic literature search and selection process. The PRISMA diagram details the applied search and selection process of this study.
Figure 1. Systematic literature search and selection process. The PRISMA diagram details the applied search and selection process of this study.
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To identify studies that evaluated the effects of tannin supplementation on productive performance, antioxidant status, and immune indices of weaned piglets, a comprehensive literature search in the scientific databases of Web of Science (accessed on 20 October 2023), Scopus (accessed on 20 October 2023), ScienceDirect (accessed on 20 October 2023), PubMed (accessed on 20 October 2023), and Google Scholar (accessed on 20 October 2023) was carried out. The search was limited to the results of papers published between 2010 and 2023. In all the databases, the keywords “tannin,” “condensed tannins,” “hydrolysable tannin,” “weaned pig*,” “growth,” “antioxidant status,” and “immune indices” were used.

2.2. Inclusion and Exclusion Criteria

Search results from the five databases were pooled in Zotero (Version 6.0.30), and then duplicate publications were removed. The records remaining were screened through a two-step process, as previously described by other authors [41,47]. First, a screening was performed using title and abstract, excluding review papers, stimulated studies (in vitro), and studies not including weaned pigs/piglets. Papers that passed the title and abstract screening were assessed for eligibility in the second step based on the inclusion and exclusion criteria of the meta-analysis. Inclusion criteria: (1) peer-reviewed journal article published in English; (2) studies involving basal diet supplemented with tannins; (3) studies on crossbred weaned pigs; (4) studies with the allotment of weaned pigs randomized; (5) studies with the quantification of tannin doses; (6) studies that reported means of the control and experimental group with variability measures (standard deviation or standard error of mean) and sample size, and (7) studies that reported the parameters of interest. The exclusion criteria included (1) challenged studies, (2) studies with pre- and post-weaning pigs, (3) studies with tannin fed as a replacement ingredient in the diet of weaned pigs, and (4) studies with tannin combined/blended with probiotics/prebiotics/organic acids or other additives.

2.3. Data Extraction

Two main categories of data were extracted from the eligible studies. The study characteristics: author, year, country, breed/strain, age at weaning, supplementation duration, tannin type, source, number of piglets, and average initial weight were extracted from each study. The response variables were in three categories. The growth performance category included average daily feed intake (ADFI), average daily gain (ADG), final body weight (FBW), and feed conversion ratio (FCR). The antioxidant parameters included: glutathione peroxidase (GSH-Px), superoxide dismutase (SOD), catalase (CAT), malondialdehydes (MDA), and total antioxidant capacity (T-AOC). The third category, immune indices, included immunoglobulin A (IgA), immunoglobin G (IgG), and immunoglobin M (IgM). The mean, standard deviation, or standard error of all outcomes corresponding to tannin and control groups were extracted from each study. Each treatment was considered a separate trial for studies including more than one treatment. The data extracted from eligible studies was compiled using an electronic form created in Microsoft Excel (Microsoft Corp., Redmond, WA, USA).

2.4. Study Quality Assessment

Two researchers independently assessed the study quality using Cochrane Collaboration’s Systematic Review Center for Laboratory Animal Experimentation’s (SYRCLE) Risk of Bias (RoB) tool for animal studies [48]. The assessment items included random sequence generation (selection bias), baseline characteristics (selection bias), allocation concealment (selection bias), random housing (performance bias), blinding of participants and personnel (performance bias), random outcome assessment (detection bias), incomplete outcome data (attrition bias), selective reporting (reporting bias), and other bias. Discussions settled the disagreements on assessment with a third researcher.

2.5. Statistical Analysis

2.5.1. Meta-Analysis

All the statistical analysis were performed using the R software (version 4.3.1, The R Foundation for Statistical Computing, 2023-06-16 ucrt) using the “meta” and “metafor” packages. The means of the experimental units (control and treatment) were registered as continuous result data. The response variables were analysed through the standardized mean difference (SMD), also called effect size (ES), in which the difference between the means of the experiment and control was standardized using the standard deviation (SD) of the groups with and without tannins. The random-effects model was used to estimate the effect size, 95% confidence interval (CI), and statistical significance for each trait since it is more conservative than the fixed-effects model [49,50]. SMD values of < 0.2, 0.2 < SMD < 0.7, and > 0.7 indicated small, moderate, and high effects, respectively [51,52]. Eleven meta-analyses (global studies) were run separately for each response variable studied, growth performance (ADFI, ADG, FBW, and FCR); antioxidant parameters (GSH-Px, SOD, CAT, MDA, and T-AOC) and immune indices (IgA, IgG, and IgM). The effect sizes of each experimental unit comparing tannin impacts were calculated for each outcome variable with Hedges’ g. A p-value of SMD less than 0.05 was considered statistically significant.

2.5.2. Heterogeneity Assessment

The effect size heterogeneity was measured using Cochran’s Q test and the I2 (percentage of variation) statistics. Heterogeneity between-study variability was assessed using values ranging from 0 to 100% (I2 < 25% = low heterogeneity, 25% ≤I2 ≤50% = moderate heterogeneity, 50% ≤I2 <75% = high heterogeneity, 75% ≤I2 ≤100% = very high heterogeneity) [45]. Sub-group analysis and meta-regression are necessary to determine the sources of heterogeneity further when the studies had a substantial heterogeneity (I2 >50%) [45].

2.5.3. Meta-ANOVA and Meta-Regression

Meta-ANOVA (sub-group analysis) tests were conducted to compare the effects of the tannin sources (chestnut, quebracho, carob pods, gallnut microencapsulated tannic acid, gallnut tannic acid, grape seed proanthocyanidins, and chestnut and quebracho blend). Meta-regression analysis was conducted using effect sizes (SMD) for each outcome (PSMD <0.05, I2 >50%, n ≥10) as the dependent variable to examine heterogeneity sources of meta-analysis with tannin dosage (mg/kg), supplementation duration (days), and piglets age at weaning (days) of piglets as a covariate.

2.5.4. Publication Bias

Publication bias was analysed to confirm the study results' validity and assess the risk of bias in individual studies. The funnel plots were drawn to visualize the bias, and Egger’s linear test was performed to evaluate the publication bias accurately with numerical data [53]. Tests to assess publication bias can be achieved when the variable to be considered is at least ten studies and when significant heterogeneity (Q) is detected with p ≤ 0.50 because it may lead to false-positive claims [54]. Consequently, funnel plots and Egger’s test were only performed for variables that met the criteria above. In cases where statistical evidence of publication bias was found, Duval and Tweedie's “trim-and-fill” method was used to estimate the number of possible missing observations [55].

3. Results

3.1. Dataset and Study Characteristics

The strategy, process, and results of our literature search are shown in Figure 1. A total of 964 articles were identified from PubMed, Scopus, ScienceDirect, Web of Science, and Google Scholar for screening. In our screening process, duplicates and ineligible papers were removed, with a final 16 papers included in our review. Finally, 16 papers were registered for data extraction and meta-analysis. The 16 papers were divided into 31 experiments because some studies had several tannin supplementation levels (treatments). An experiment was defined as the control diet associated with one tannin supplementation level. The summary characteristics of the primary studies (16 papers) included in the meta-analysis are shown in Table 1.
The studies included in this present meta-analysis were conducted in 7 different countries, predominantly in China (50%), Greece (12.5%), and Germany (12.5%). The average weaned age of piglets (crossbreds) was 25 days, with a minimum of 21 days and a maximum of 35 days, while the experimental duration varied between 14 and 55 days. In addition, the average weight of piglets ranged between 5.99 and 10.70 Kg. Regarding the type of tannins, most of the studies in this meta-analysis supplemented condensed tannins, which constituted 50%. In contrast, hydrolysable tannins were 43.75%, and a blend of condensed and hydrolysable tannins was 6.25%. Regarding the source of tannins supplemented, 18.75% of the studies used chestnut and grape seed proanthocyanidins individually, followed by gallnut tannin acids and GMTA, which were 12.50%, respectively. In addition, grape pomace constituted 12.50%, whereas grape extract, carob pods, blend (Ch/Qu), and quebracho were 6.25%, respectively. The included studies supplemented the tannins in a dosage ranging from 40-12500 mg/kg.

3.2. Assessment of Risk of Bias

Figure 2 presents the risk of bias classification for the studies included in our meta-analysis based on Cochrane Collaboration’s SYRCLE Risk of Bias tool for animal studies.
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Figure 1. Study Quality Assessment.
Figure 1. Study Quality Assessment.
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Regarding selection bias, out of the 16 included studies, 9 (56.25%) reported a low risk of bias, whereas 43.80% were assessed as unclear risk of bias for the sequence generation domain. Likewise, the majority (93.75%) of the studies were judged as low risk bias, though 6.25% were of high risk of bias corresponding to their baseline characteristics. In contrast, for allocation concealment, the majority (93.75%) of the included studies showed an unclear risk of bias, with just 6.25% constituting a high risk of bias. Considering the performance domain of risk of bias assessment, 56.25%, 37.50%, and 6.25% of the studies presented a low, unclear, and high risk of bias concerning random housing. With no low risk of bias reported concerning the blinding of caregivers, the included studies showed a 93.75% unclear risk of bias, whereas 6.25% were judged as having a high risk of bias. Regarding the detection bias of the included studies, random outcome assessment was adjudged as the domain with the highest proportion of increased risk of bias (50.00%) in our meta-analysis. On the other hand, blinding of outcome assessors, another domain of detection bias, showed 18.75% and 81.25% low and unclear bias, respectively. For both attrition and reporting bias, the studies of our meta-analysis were all judged to present a 100% low risk of bias. In our included studies, 93.75% and 6.25%, respectively, were deemed to have a low and unclear risk of bias for other sources of bias. In summary, the 16 eligible studies in our meta-analysis had approximately 53% low risk of bias, 37% unclear risk of bias, and 10% constituting a high risk of bias.

3.3. Meta-Analysis

3.3.1. Growth Performance

The effects of tannin supplementation on the growth performance of weaned piglets are summarized using random-effect models of meta-analysis. Figure 2 summarizes the meta-analysis on the impact of tannin supplementation on the average daily gain (ADG) of weaned piglets. A non-significant decreasing effect (PSMD = 0.20) of tannins supplementation in weaned piglets was observed for ADG.
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Figure 2. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets' average daily gain (ADG). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in ADG, while points to the right of the solid line indicate an increase in ADG.
Figure 2. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets' average daily gain (ADG). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in ADG, while points to the right of the solid line indicate an increase in ADG.
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The summary of the meta-analysis on the effects of tannin supplementation on the average daily feed intake (ADFI) of weaned piglets is shown in Figure 3. Supplementation with tannins did not significantly (PSMD = 0.07) affect weaned piglets ADFI.
Figure 4 summarizes the meta-analysis on the effects of tannin supplementation on the final body weight (FBW) of weaned piglets. Tannin supplementation significantly increased FBW (SMD = 1.05, PSMD < 0.01, I2 = 95%), denoting a high tannin treatment effect (SMD > 0.70).
Figure 5 presents the effect of tannin supplementation on the feed conversion ratio (FCR) of weaned piglets. Supplementing the basal diets of weaned piglets with dietary tannins significantly decreased (SMD = -1.40, PSMD < 0.01, I2 = 97%), signifying a high (SMD > 0.70) tannins treatment effect.

3.3.2. Serum Antioxidant Parameters

Dietary tannins supplementation effects on weaned piglets’ serum antioxidant indices are summarized using random-effect models of meta-analysis. Figure 6 illustrates the summary of the meta-analysis on the impact of tannin supplementation on the serum catalase (CAT) of weaned piglets. There was no significant (PSMD = 0.92) effect of tannin supplementation on serum CAT.
Figure 7 presents the effect of tannin supplementation on weaned piglets' serum superoxide dismutase (SOD). Supplementing the basal diets of weaned piglets with tannins significantly increased (SMD = 2.61, PSMD < 0.01, I2 = 92%), suggesting a high (SMD > 0.70) tannins treatment effect.
The summary of the meta-analysis on the effects of tannin supplementation on weaned piglets’ serum malondialdehydes (MDA) is shown in Figure 8. The overall effect of the analysis indicated a significant decreasing impact (SMD = -7.11, PSMD < 0.01, I2 = 92%) of tannins when supplemented to the basal diet of weaned piglets. The effect size suggests a high tannin effect (SMD > 0.70) on serum MDA.
Figure 9 illustrates the summary meta-analysis effects of supplemented tannins on weaned piglets’ serum glutathione peroxidase (GSH-Px). The overall impact of the analysis indicated a significant increase in the effect (SMD = 6.40, PSMD = 0.01, I2 = 96%) of tannins supplementation. The effect size (SMD > 6.40) reveals that tannins highly affect serum GSH-Px.
The summary of the meta-analysis on the effects of tannin supplementation on weaned piglets’ serum total antioxidant capacity (T-AOC) is shown in Figure 10. The overall impact of the analysis revealed a significantly increased effect (SMD = 7.49, PSMD < 0.01, I2 = 94%) of tannins when supplemented to the basal diet of weaned piglets. The effect size (SMD > 0.70) can be considered a high tannin effect on serum T-AOC.

3.3.3. Immune Indices

The influence of supplementing tannins on weaned piglets’ serum immune indices is summarized using random-effect models of meta-analysis. Figure 11 presents the overall effects of supplemented tannins on weaned piglets' immunoglobin A (IgA). A non-significant decreasing effect (PSMD = -2.96) was observed for IgA.
The summary of the meta-analysis on the effects of tannin supplementation on weaned piglets’ serum immunoglobin M (IgM) is shown in Figure 12. The overall impact of the analysis revealed a significantly increased effect (SMD = 33.51, PSMD < 0.01, I2 = 99%) of tannins when supplemented with the basal diet of weaned piglets. The effect size (SMD > 0.70) can be considered a high tannin effect on serum IgM.
Figure 13 summarizes the meta-analysis on the effects of tannin supplementation on the immunoglobin G (IgG) of weaned piglets. Tannin supplementation significantly increased IgG (SMD = 6.82, PSMD < 0.01, I2 = 89%), indicating a high tannin treatment effect (SMD > 0.70).

3.4. Meta-ANOVA and Meta-Regression

3.4.1. Meta-ANOVA (Subgroup Analysis)

Subgroup analysis, also known as moderator analysis, was performed to test the hypothesis that some tannin sources yield higher effects than others (i.e., studies in our meta-analysis do not stem from one overall population), assuming that they fall into different subgroups and each subgroup has its actual overall effect. Although all parameters assessed in our meta-analysis yielded I2 ≥ 75%, subgroup analysis were only performed for growth performance parameters (k ≥ 10). Borenstein, et al. [62], 2015 mention, as a general rule of thumb, that subgroup analysis only makes sense when the meta-analysis contains at least 𝐾 = 10 studies. Table 3 presents the outcome of tannins source subgroup analysis on average daily feed intake (ADFI), average daily gain (ADG), final body weight (FBW), and feed conversion ratio (FCR). Using the value of 𝑄 to determine if the subgroup differences are significant enough not to be explainable by sampling error alone, the observed value of 𝑄 was substantially more significant than the expected one, indicating that there is a significant difference (p < 0.0001) in the actual effect sizes between subgroups.
Regarding weaned piglets’ ADFI, supplementation of chestnut, grape extract, grape seed proanthocyanidins (GSP), grape pomace, and gallnut tannic acid had a positive effect, with chestnut recording the highest increasing effect (SMD = 2.9020) follow by grape extract (SMD = 1.3074) and grape seed proanthocyanidins (SMD = 0.8966) respectively. Conversely, the gallnut microencapsulated tannic acids (SMD = -0.5921) and chestnut and quebracho blend (SMD = -1.1924) adversely affected ADFI. Similarly, weaned piglets’ ADG increased when tannins were sourced from chestnut (SMD = 6.4894), grape extract (SMD = 1.0764), grape seed proanthocyanidins (SMD = 1.6444), grape pomace (SMD = 2.6567), quebracho (SMD = 6.0871) and gallnut tannic acid (SMD = 0.6481). Chestnut again registered the optimum increasing effect on ADG. In contrast, ADG was decreased by gallnut microencapsulated tannic acid and chestnut and quebracho blend (Table 3), with GMTA having a considerable influence. The final body weight increased in weaned piglets supplemented with grape pomace (SMD = 5.5956), grape extract (SMD = 1.9873), chestnut (SMD = 1.7184), GSP (SMD = 0.9624), carob pods (SMD = 0.7726), gallnut tannic acid (SMD = 0.4981), and quebracho (SMD = 0.0868), but depressed when chestnut and quebracho blend (SMD = -0.3416) and GMTA (SMD = -0.2500) were supplemented. Unlike in ADFI, ADG, and FBW, the source of the tannins showed an opposite trend in piglets’ feed conversion ratio (FCR). Piglets’ FCR decreased with supplementation of chestnut (SMD = -2.8044), GSP (SMD = -2.4528), GMTA (SMD = -1.7433), grape pomace (SMD = -1.4908), grape extract (-0.4968), and gallnut tannic acid (SMD = -0.0982), but increased with chestnut and quebracho blend (SMD = 0.8517) and carob pods (SMD = 0.8295). Although very high heterogeneities (75% ≤I2 ≤100%) were detected among the growth outcomes in our global studies (meta-analysis), it was revealed from the subgroup analysis that the chestnut subgroup contributed the most to the heterogeneity.
Table 2. Meta-ANOVA of the association between tannins source and growth-measured outcomes.
Table 2. Meta-ANOVA of the association between tannins source and growth-measured outcomes.
Variable Random effect model Heterogeneity
95% CI p-value
k SMD Lower Upper I2 τ2 τ Q df
ADFI, g/day
Chestnut (Ch) 5 2.9020 -0.7572 6.5612 97.6 17.1981 4.1471 90.69 6 < 0.0001
GMTA 7 -0.5921 -1.7603 0.5761 94.3 2.3387 1.5293
Grape extract 1 1.3074 0.9121 1.7027 -- -- --
GSP 7 0.8966 -0.0135 1.8067 93.8 1.4162 1.1901
Grape pomace 2 1.7150 -0.0379 3.4680 81.2 1.3052 1.1425
Ch/Qu 1 -1.1924 -1.5816 -0.8031 -- -- --
Gallnut tannic acid 2 0.7042 0.0700 1.3383 71.3 0.1494 0.3866
ADG, g/day
Chestnut 5 6.4894 -3.6569 16.6357 98.2 133.1920 11.5409 140.33 7 < 0.0001
GMTA 7 -22.5090 -32.1307 -12.8873 96.8 162.8086 12.7596
Grape extract 1 1.0764 0.6928 1.4601 -- -- --
Quebracho (Qu) 2 6.0871 4.2437 7.9306 0.0 0 0
GSP 7 1.6444 0.5049 2.7839 94.7 2.2453 1.4984
Grape pomace 2 2.6567 -0.3419 5.6553 90.9 4.2610 2.0642
Ch/Qu 1 -1.1924 -1.5816 -0.8031 -- -- --
Gallnut tannic acid 2 0.6481 -0.8556 2.1518 94.6 1.1142 1.0556
Final Body Weight, Kg
Chestnut 5 1.7184 -0.0760 3.5128 96.6 4.0292 2.0073 77.54 8 < 0.0001
GMTA 3 -0.2500 -0.7892 0.2892 0.0 0 0
Grape extract 1 1.9873 1.5476 2.4269 -- -- --
Quebracho 2 0.0868 -0.6090 0.7826 0.0 0 0
Carob pods 3 0.7726 -1.1539 2.6992 97.6 2.8320 1.6829
GSP 6 0.9624 -0.1213 2.0461 94.2 1.7380 1.3183
Grape pomace 2 5.5956 -2.2497 13.4409 95.6 30.6831 5.5392
Ch/Qu 1 -0.3416 -0.7021 0.0190 -- -- --
Gallnut tannic acid 2 0.4981 -0.4853 1.4816 88.2 0.4443 0.6666
FCR
Chestnut 2 -2.8044 -7.0268 1.4179 98.9 9.1831 3.0304 54.46 7 < 0.0001
GMTA 7 -1.7433 -3.5702 0.0836 96.6 5.8898 2.4269
Grape extract 1 -0.4968 -0.8603 -0.1333 -- -- --
Carob pods 3 0.8295 -0.0430 1.7020 89.7 0.5374 0.7331
GSP 7 -2.4528 -3.5728 -1.3328 94.3 2.1331 1.4605
Grape pomace 2 -1.4908 -6.1186 3.1371 96.6 10.7723 3.2821
Ch/Qu 1 0.8517 0.4775 1.2259 -- -- --
Gallnut tannic acid 2 -0.0982 -2.6187 2.4223 98.0 3.2399 1.8000
ADFI: average daily feed intake; ADG: average daily gain; FCR: feed conversion ratio; k: study number; SMD: standard mean difference; I2: Higgens statistics; Q: X2 statistics; τ2: heterogeneity variance of actual effect size; τ: standard deviation of true effect size: df: degree of freedom.

3.4.2. Meta-Regression

Like the subgroup analysis, meta-regression analysis was only performed for growth-measured outcomes (k ≥ 10). Borenstein, et al. [62] mention that this guideline may also be applied to meta-regression models but should not be considered an iron-clad rule. Therefore, the present meta-analysis only applied meta-regression to GMTA, GSP, chestnut, and carob pods. To investigate what caused the patterns of heterogeneity in our data, three meta-regressions with tannins source dosage, supplementation duration, and piglets’ age as predictors were performed. Tannins source dosage effects on piglets’ growth performance parameters are displayed in Table 3. The results of the meta-regression models indicated a non-significant (p > 0.05) tannins source effect for ADG, FBW, and FCR except for grape seed proanthocyanidins, which significantly decreased ADFI (Estimate = -0.0118, TM = 4.7277, p = 0.0297). The dosage of GSP supplementation explained 40.74% of the observed heterogeneity for ADFI. This observation is highlighted by the bubble plot (Figure 14), showing a significant negative impact of GSP due to its increasing dosage (40-250 mg/kg).
Table 4 presents the meta-regression of tannins source supplementation duration effects on the growth performance of weaned piglets. Except for ADFI, significant correlation results were found for ADG (p < 0.0001), FBW (p < 0.0001), and FCR (p = 0.0002). Longer exposure of chestnut (Estimate = -3.2762, TM 158.2981) and GMTA (Estimate = -1.6715, TM = 183.7752) significantly decreased ADG. The duration of GMTA supplementation explained the observed heterogeneity thoroughly (100%), whereas the chestnut supplementation duration explained 99.40%. Similarly, increasing the supplementation duration of chestnuts reduced the final body weight (Estimate = -1.6715, TM = 183.7752, p < 0.0001) of weaned piglets. Longer chestnut supplementation explained the observed heterogeneity thoroughly (100%). Equally, GMTA supplementation for a longer duration significantly lowered the FCR (Estimate = -0.2836, TM = 13.6825, p = 0.0002) of weaned piglets, explaining 69.89% of the observed heterogeneity for FCR. The significant results recorded for ADG, FBW, and FCR according to the duration of supplementation are highlighted by the bubble plots in Figure 15.
Table 5 shows the meta-regressions of piglets’ age effects on the tannic source and growth-measured outcomes association. The covariate piglets’ age had no significant relationship (p > 0.05) with ADFI, ADG, FBW, and FCR.
Figure 16 shows the funnel plots assessment of publication bias for growth parameters (ADFI, ADG, FBW, FCR) and malondialdehydes (serum antioxidant index) via the grey data points. The funnel plots indicated no evidence of asymmetry (publication bias) for ADFI (p = 0.1908), ADG (p = 0.2340), and FBW (p = 0.1912), which was confirmed by Egger’s linear test for publication bias (Table 6). However, FCR and MDA, on the other hand, showed evidence of asymmetry. These results were confirmed by Egger’s linear regression test (Table 6) for FCR (bias = -9.8262, p = 0.0031) and MDA (bias = -4.3594, p = 0.0048).

4. Discussion

A wide range of physiological responses, such as impaired intestinal metabolism and function, compromised immunity, and decreased antioxidant capacity, which lead to depressed feed utilization, retarded growth, as well as increased morbidity and mortality, are associated with the phase of weaning [28]. Tannin, traditionally regarded as an ‘anti-nutritional’ factor, negatively impacts feed intake, nutrient digestibility, and production performance in monogastric nutrition [63,64]. Nonetheless, reports of several recent studies indicate that low concentrations of tannin from several sources improved nutrition, animal performance, and health status in monogastric animals [22,24,65,66]. Our present meta-analysis, therefore, investigated the tannins source effects on weaned piglets’ growth performance, serum antioxidant capacity, and immune status.

4.1. Study Quality Assessment

The quality of evidence within a systematic review (SR) is as important as analyzing the data. The quality and reliability of a systematic review’s evidence, according to Macleod, et al. [67], is linked closely to the credibility of the data and the results of the individual studies included. Therefore, assessing the risk of bias, a measure of each study’s quality, is vital for SR. The included studies in our review were published between 2010 and 2023; this characteristic aligns with the surge in the call for adoption and use of similar reporting standards in the description of the methods section of real-world animal intervention data studies. However, in our present meta-analysis, 37% of the included studies showed an unclear risk of bias. This observation of bias is instituted by inadequate randomization, lack of blinding, allocation concealment, and sequence, which are not yet standard practices in animal intervention experimentation. This assertion is supported by Macleod, et al. [65] and Kilkenny, et al. [68], who indicated that most individual studies do not report these measures and are not a common practice in animal experiments. Despite the aggregated percentage of unclear risk of bias, the included studies were of low risk of bias (53%) even with a 10% high risk of bias. The findings of the risk assessment of individual study’s methodological, reporting, and evidence quality of the MA of tannins supplementation to the basal diet of weaned piglets revealed that the quality of evidence was valid, though not devoid of bias. As a result, the study recommended that decision-makers should be prudent when supplementing tannins.

4.2. Growth Performance

Tannin, an astringent group of polyphenolic compounds, develops complexes with other nutrients, such as proteins, minerals, or digestive enzymes, which are capable of reducing feed palatability, feed intake, and nitrogen digestibility in monogastric, including growing pigs [69,70,71]. Conversely, in the present meta-analysis, increased ADFI and FBW and a reduced FCR of weaned piglets were observed in response to dietary supplementation with different tannins. This observation implies that tannins are generally a potential nutritional source to improve growth and feed utilisation in weaned piglets.
This observation is supported by the assertion of Seoni, et al. [72], who reported that wild or domesticated pigs seem to be relatively resilient to the intake of feedstuffs with a high content of tannins without any negative consequences on performance or health status. Medium supplementation of tannins seems to be more effective on the growth of post-weaned piglets than low inclusion [22,24,73,74,75]. Yet, some studies indicate an astringent sensation produced by a reaction between dietary tannins and salivary mucoproteins or by a direct response from tannins with taste receptors, manifesting a reduction in palatability, thereby reducing feed intake [76,77]. The observed increased ADFI and FBW in response to tannins, despite the reduced ADG (possibly due to poor protein digestibility of the tannin-rich diet), could be explained by tannin resistance associated with elevated synthesis of proline-rich proteins (PRPs) in the saliva, which bind tannins from feedstuffs and prevent intoxication of organisms with diets rich in tannins [78,79]. In addition, prolonged exposure to dietary tannins can induce adaptive mechanisms in the amount of proline and other salivary proteins with high affinity for tannins [77]. Dietary tannins complexes formed with macromolecules and protein complexes rich in proline, unlike other complex, are stable over the entire pH range of the digestive tract, which could increase the efficiency of nutrient utilization of the diet [80] and also eliminate or reduce their negative effect on palatability and feed intake [76,81].
Regarding these explanations, in our meta-analysis, tannins sources except GMTA and Ch/Qu supplemented according to our sub-group analysis (Table 2) positively influenced response in ADFI and FBW. The reducing effects of GMTA and Ch/Qu could be attributed to their poor palatability, which possibly accounts for ADFI and feed efficiency depression when supplemented in weaned piglets’ diet [31,35,82,83]. Although the exact mechanisms of how tannins improve performance are not fully understood in monogastric [36], the heterogeneity observed for ADFI (Table 3, 4) in our meta-analysis was partly explained by tannin source dosage (GSP = 40.74%, GMTA = 6.01%) whereas 12.37% by GMTA supplementation for ADG. On the other hand, the duration of chestnut and GMTA supplementation explained 99.40% and 100% of the heterogeneity in ADG, respectively. Similarly, the observed heterogeneity in FBW is explained by chestnut supplementation duration. Even though it has been previously reported that the impact of tannins depends on the dose of the tannins in the diet rather than the type of tannins [84], the results of our present meta-regression suggest that the effectiveness of tannin supplementation in weaned piglets seems to be highly related not only to the dosage of tannins administered but also the duration of supplementation with tannins, affirming the assertions of [36].
Concerning FCR, the general reducing effects of dietary tannins source in our meta-analysis could be due to the activity of tannins’ bioactive compounds, which modulate intestinal metabolism, protect the intestinal morphology health, and reduce the incidence of intestinal disease, thus enhancing piglets’ performance. This claim is reinforced by that of Huang, Liu, Zhao, Hu and Wang [35], who said that supplementing tannins tends to inhibit the progression of infections in the gastrointestinal tract, thereby improving feed efficiency in livestock. Likewise, tannins can positively influence gut morphology and enhance nutrient absorption in monogastric animals [85]. The beneficial effects of phytobiotics, comprising tannins, include not only anti-bacterial activities, antioxidation and immuno-modulation but also nutrient digestion, absorption, and stimulation of intestinal mucus secretion, saliva, and bile [86,87]. The influence of the antioxidant property of tannins on enzyme activity may partly explain the reduced phenomenon of FCR. Antioxidant enzymes and exogenous antioxidants can help restore oxidative balance and maintain healthy intestinal mucosa, increasing nutrient absorption [58,88,89]. The FCR observed suggests a positive effect of tannin supplementation on the economics of gain in swine production. Consequently, the effectiveness of dietary sources of tannins on the productive performance of weaned piglets is more pronounced and positive using chestnut and grape seed proanthocyanidins.
FCR, despite being a subject of publication bias (Table 6) in our meta-analysis, the decreasing effects recorded were imposed by the tannins supplemented as affirmed by the corrected publication bias test (Table 7). This assertion is validated in our sub-group analysis (Table 2), where tannins sources except carob pods and Ch/Qu supplemented increased FCR response with the duration of supplementation of GMTA, partly explaining 69.89% of the detected heterogeneity.

4.3. Serum Antioxidant Capacity

Animal nutritionists have directly explored the antioxidant properties of polyphenolic compounds as preservatives in compound feed to protect animals against the harmful consequences of feed component oxidation [90]. According to Ghiselli, et al. [91], exogenous antioxidants establish the first line of defense against excessive reactive oxygen species (ROS) generation to protect the organism against harmful peroxidation. In our meta-analysis, excessive accumulation of this prooxidant substance is hypothesized to cause oxidative stress in weaned piglets. Inhibiting this oxidative stress in animals and stabilizing their products' antioxidant potential (e.g., meat and eggs) can be achieved with polyphenolic compounds [90]. Although these effects are triggered by simple phenolics, tannins (CT and HT) exhibited more excellent antioxidant activities due to their relatively high molecular weight [92].
In the present study, serum CAT, SOD, GSH-Px, and T-AOC were observed to generally increase in response to dietary supplementation with tannins of different sources. These observations hint at enhanced antioxidant enzyme activities in the serum of weaned piglets, thereby reducing their susceptibility to lipid peroxidation. The findings of this study are confirmed by that of [27,28,58,90], who reported tannin reduction effects on CAT, SOD, GSH-Px, and T-AOC in the serum of weaned piglets. These observations could be partly accounted for by tannins’ moderate bioavailability and influence on absorption. Supplementation with antioxidant-rich foods or purified antioxidants yielding subsequent changes in blood plasma provides information on the absorption and bioavailability of ingested antioxidant compounds [91]. Although the exact metabolic mechanisms of polyphenols, including tannins, have not been fully elucidated in pigs [93], the results observed in our meta-analysis imply that tannins ingested by weaned piglets may be degraded and absorbed in the gastrointestinal tract and subsequently transferred to the bloodstream to serve as exogenous antioxidants. Another possible reason for these findings is that tannins can selectively induce antioxidant enzyme gene expression via modulating redox-sensitive signaling pathways by inhibiting lipid peroxidation and quenching the oxygen free radicals in the gut [94]. The elevated levels of CAT, SOD, and GSH-Px are vital in converting ROS into less harmful compounds, and consequently reducing ROS-mediated damage on DNA and entire chromosomes, amino acids modification, contribution to protein fragmentation, lipid peroxidation intensification in cell membranes, cell apoptosis and necrosis which increase the risk of inflammations and cancer [93,95,96]. The trim-and-fill model results (Table 7) confirmed the global results (Figure 6,7,9,10) of the present meta-analysis by showing positive effect sizes for CAT, SOD, GSH-Px, and T-AOC, suggesting that supplementation with tannins minimise the negative consequences of oxidative stress during weaning.
In the present meta-analysis, MDA in weaned piglets’ serum was generally reduced in response to dietary tannin supplementation. The finding of this meta-analysis showed that tannins mitigate oxidative stress, similar to that of [97,98], who reported a fall in the blood's MDA level when broilers and piglets were supplemented with polyphenolic compounds. MDA can induce toxic stress in cells and constitute homopolar protein adducts (ALEs), a biomarker of lipid peroxidation in a biome [99]. Their reduction in this study suggests that tannins supplemented in the diet of weaned piglets could be utilised as a dietary strategy to alleviate oxidative stress. Even though the reducing effects of tannins on MDA in the global study (Figure 8) of our meta-analysis was influenced by publication bias (Table 6), the fall in MDA levels is an actual influence (Table 7) of the source of the dietary tannins in our meta-analysis.

4.4. Immune Indices

So far, the immunomodulatory effects of polyphenolic compounds in swine, including tannins, are explained mainly by their anti-oxidant activities [35,38]. Tannins are highlighted for their immunity-enhancing impact on the gut by inhibiting bacterial growth or bacterial adhesion to the intestinal epithelium, biofilm formation, and damage reduction to the intestine by enterotoxin production and activity inhibition [38]. Under oxidative stress, particularly in piglets, polyphenols can enhance immunity by activating immunoglobulins and inhibiting the secretion of proinflammatory cytokines [93].
In the present meta-analysis, the immune effect of tannin supplementation is emphasized with a rise in IgG and IgM serum levels, signifying their suppression effects on intestinal inflammations and possibly reducing the incidence of diarrhea. These findings are affirmed by Cappelli, et al. [100] and Verhelst et al. [101], who explored polyphenols from other sources and concluded their effectiveness in decreasing the incidence of diarrhea in piglets. A possible reason that could explain this phenomenon is the ability of polyphenols, including tannins, to lower the activity of inflammatory mediators NF-κB and Nrf2 through inhibition of the NF-κB/P38 signaling pathways [100,101], thus reducing the risk of intestinal diseases [102].
The global immunomodulation effects (Figure 11,12,13) of dietary supplementation with tannins in our present meta-analysis suggest that tannins are a potential nutritive additive in mitigating inflammatory mediators. The observed global immunomodulatory effects in our meta-analysis are further confirmed in the trimmed and fill test (Table 7).

5. Conclusions

The present meta-analysis evaluated the effect of dietary supplementation with tannins on weaned piglets’ growth performance, serum antioxidant capacity, and serum immune status. Supplementing tannins reduces average daily gain but improves average daily feed intake, final body weight, and feed conversion ratio. The enhancement of weaned piglets’ productive performance contribution by tannins depends on the source, dosage, and duration of exposure. Likewise, dietary supplementation with tannins effectively reduces malondialdehydes. Still, it elevates the levels of glutathione peroxidase, catalase, superoxide dismutase, and total antioxidant capacity in the serum, which, in general, could be a reliable oxidative stress alleviation nutritional strategy. The evidence of the meta-analysis also indicates a tannin reduction effect in immunoglobin A, while immunoglobin G and M are elevated. Supplementing weaned piglets’ diet with tannins, particularly with chestnut and grape seed proanthocyanidins, could be a reliable nutritional strategy for improving and sustaining gut health, which could translate into mitigating diarrhea occurrences. With the pronounced effect of chestnut and grape seed proanthocyanidins on weaned piglets’ performance, further investigation of their dosage-duration of exposure interaction response would be fascinating.

Author Contributions

Conceptualization, EN.; methodology, EN.; software, EN., and JICPD.; validation, EN. and JICPD.; formal analysis, EN. and JICPD.; investigation, EN.; resources. EN. FH. and JICPD.; writing—review and editing, EN. JICPD. And N-JC.; visualization, EN., JICPD., FH., IC., BC. and N-JC.; supervision, N-JC.; project administration, EN., IC., BC. and N-JC. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The datasets used and analysed during the current study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors, Emmanuel Nuamah and Fabrice Hirwa, are grateful for the financial support from the NIIED toward their studies in South Korea.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 3. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets' average daily feed intake (ADFI). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in ADFI, while points to the right of the solid line indicate an increase in ADFI.
Figure 3. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets' average daily feed intake (ADFI). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in ADFI, while points to the right of the solid line indicate an increase in ADFI.
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Figure 4. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets final body weight (FBW). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in FBW, while points to the right of the solid line indicate an increase in FBW.
Figure 4. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets final body weight (FBW). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in FBW, while points to the right of the solid line indicate an increase in FBW.
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Figure 5. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets final body weight (FCR). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in FCR, while points to the right of the solid line indicate an increase in FCR.
Figure 5. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets final body weight (FCR). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in FCR, while points to the right of the solid line indicate an increase in FCR.
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Figure 6. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum catalase (CAT). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in CAT, while points to the right of the solid line indicate an increase in CAT.
Figure 6. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum catalase (CAT). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in CAT, while points to the right of the solid line indicate an increase in CAT.
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Figure 7. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum superoxide dismutase (SOD). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in SOD, while points to the right of the solid line indicate an increase in SOD.
Figure 7. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum superoxide dismutase (SOD). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in SOD, while points to the right of the solid line indicate an increase in SOD.
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Figure 8. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum malondialdehydes (MDA). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in MDA, while points to the right of the solid line indicate an increase in MDA.
Figure 8. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum malondialdehydes (MDA). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in MDA, while points to the right of the solid line indicate an increase in MDA.
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Figure 9. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum glutathione peroxidase (GSH-Px). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in GSH-Px, while points to the right of the solid line indicate an increase in GSH-Px.
Figure 9. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum glutathione peroxidase (GSH-Px). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in GSH-Px, while points to the right of the solid line indicate an increase in GSH-Px.
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Figure 10. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum total antioxidant capacity (T-AOC). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in T-AOC, while points to the right of the solid line indicate an increase in T-AOC.
Figure 10. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum total antioxidant capacity (T-AOC). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in T-AOC, while points to the right of the solid line indicate an increase in T-AOC.
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Figure 11. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum immunoglobin A (IgA). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in IgA, while points to the right of the solid line indicate an increase in IgA.
Figure 11. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum immunoglobin A (IgA). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in IgA, while points to the right of the solid line indicate an increase in IgA.
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Figure 12. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum immunoglobin M (IgM). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in IgM, while points to the right of the solid line indicate an increase in IgM.
Figure 12. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum immunoglobin M (IgM). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in IgM, while points to the right of the solid line indicate an increase in IgM.
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Figure 13. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum immunoglobin M (IgG). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in IgG, while points to the right of the solid line indicate an increase in IgG.
Figure 13. Forest plot of the effect size or standardized mean difference and 95% confidence interval of tannins on weaned piglets’ serum immunoglobin M (IgG). The solid vertical black line represents the mean difference of zero or no effect. Points to the left of the solid vertical black line represent a reduction in IgG, while points to the right of the solid line indicate an increase in IgG.
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Figure 14. GSP dosage effect o on ADFI (a) Showing a decreasing trend of ADFI’s standardized mean difference following the increasing dosage of GSP supplementation.
Figure 14. GSP dosage effect o on ADFI (a) Showing a decreasing trend of ADFI’s standardized mean difference following the increasing dosage of GSP supplementation.
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Figure 15. Showing a decreasing trend of standardized mean difference following the increasing dosage of tannins supplementation duration on weaned piglets’ growth performance.: (a) Chestnut impact on ADG; (b) GMTA impact on ADG. (c) Chestnut impact on FBW; (d) GMTA impact on FCR.
Figure 15. Showing a decreasing trend of standardized mean difference following the increasing dosage of tannins supplementation duration on weaned piglets’ growth performance.: (a) Chestnut impact on ADG; (b) GMTA impact on ADG. (c) Chestnut impact on FBW; (d) GMTA impact on FCR.
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Figure 16. Funnel plots assessment for publication bias on weaned piglets’ growth outcomes and serum malondialdehydes: (a) ADFI; (b) ADG; (c) FBW; (d) FCR; (e) MDA.
Figure 16. Funnel plots assessment for publication bias on weaned piglets’ growth outcomes and serum malondialdehydes: (a) ADFI; (b) ADG; (c) FBW; (d) FCR; (e) MDA.
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Table 1. Summary characteristics of studies included in the meta-analysis.
Table 1. Summary characteristics of studies included in the meta-analysis.
Author (Year) Weaned age (days) Suppl. Duration (days) Tannin Type1 Tannin Source2 Average Weight (Kg) Tannin Dosage (mg/kg) Parameters of Analysis3
Xu et al [56] 28 20 HT Chestnut 8.6 1500 FBW, ADFI, ADG, FCR
Wang et al [33] 21 14 HT GMTA 5.99 ± 0.13 500, 1000, 1500 FBW, ADFI, ADG, FCR
Wang et al [57] 21 14 HT GMTA 5.99 ± 0.13 1000 GSH-Px, SOD, CAT, MDA
Rajkovic et al [15] 23 56 CT Grape extract 6.9 ± 0.1 148 FBW, ADFI, ADG, FCR
Ma et al [32] 28 20 CT Quebracho - 2000, 3000 FBW, ADG
Liu et al [58] 28 28 HT Chestnut wood 7.81 ± 0.99 1000 FBW, ADFI, ADG, FCR, T-AOC, SOD, GSH-Px, CAT, MDA, IgA, IgG, IgM
Lee et al [31] 21 28 HT G. tannic Acid 6.485 ± 0.66 125, 250, 500, 1000 ADFI, ADG, FCR
Kotrotsios et al [30] 30 55 CT Carob Pods - 75000, 100000,125000 FCR
Han et al [59] 28 28 CT GSP 9.3 ± 0.5 250 ADFI, ADG, FCR, SOD, GSH-Px, MDA
Fang et al [27] 28 28 CT GSP 8.4 ± 0.17 40, 70, 100 FBW, ADFI, ADG, FCR, T-AOC, SOD, GSH-Px, CAT, MDA
Chedea et al [60] 21 36 CT Grape Pomace 10.70 ± 0.8 50000 FBW, ADFI, ADG, FCR
Caprarulo et al [26] 35 40 HT/CT Blend (Ch/Qu) - 12500 FBW, ADFI, ADG, FCR
Biagi et al [22] 28 28 HT Chestnut wood 8.23 ± 0.93 1130, 2250, 4500 FBW, ADFI, ADG
Kafantaris et al [29] 21 30 CT Grape Pomace 6.49 ± 0.66 90000 FBW, ADFI, ADG, FCR, GSH-Px, CAT
Hao et al [28] 21 28 CT GSP 6.99 ± 0.11 50, 100, 150 FBW, ADFI, ADG, FCR, T-AOC, SOD, GSH-Px, CAT, MDA, IgA, IgG, IgM
Yu et al [61] 21 28 HT G. tannic acid 6.6 ± 0.27 1973.09, 12004.84 FBW, ADFI, ADG, FCR, MDA
1CT: condensed tannin; HT: hydrolysable tannin; 2GMTA: gallnut microencapsulated tannic acid; GSP: grape seed proanthocyanidins; Ch/Qu: chestnut/quebracho; G. tannic acid: gallnut tannic acid; 3ADG: average daily gain; ADFI: average daily feed intake; FBW: final body weight; FCR: feed conversion ratio; MDA: malondialdehydes; SOD: superoxide dismutase; CAT: catalase; GSH-Px: glutathione peroxidase; T-AOC: total antioxidant capacity; IgA: immunoglobulin A; IgG: immunoglobin G; IgM: immunoglobin M. .
Table 3. Meta-regression of tannins source dosage effects on growth measured outcomes.
Table 3. Meta-regression of tannins source dosage effects on growth measured outcomes.
Variablea Model Results Heterogeneityb
95% CIb TM Mixed Model Effects
Estimate SEb p-value Lower Upper QM τ2 τ I2(%) R2
ADFI
GSP -0.0118 0.0054 0.0297 -0.0224 -0.0012 4.7277 0.8393 0.9161 90.27 40.74
GMTA -0.0015 0.0013 0.2556 -0.0040 0.0011 1.2923 2.1981 1.4826 95.53 6.01
ADG
Chestnut -0.0013 0.0046 0.7806 -0.0103 0.0077 0.0776 174.7742 13.2202 99.88 0.00
GMTA 0.0136 0.0102 0.1799 -0.0063 0.0335 1.7983 142.6673 11.9443 96.53 12.37
GSP -0.0071 0.0090 0.4322 -0.0247 0.0106 0.6169 2.4329 1.5598 95.82 0.00
FBW
Chestnut 0.0001 0.0008 0.8811 -0.0015 0.0017 0.0224 5.3567 2.3145 97.57 0.00
GSP -0.0113 0.0158 0.4733 -0.0422 0.0196 0.5143 1.9417 1.3935 95.15 0.00
GMTA 0.0002 0.0007 0.7497 -0.0011 0.0015 0.1018 0.00 0.00 0.00 0.00
Carob pods -0.0000 0.0001 0.5469 -0.0001 0.0001 0.3628 4.1985 2.0490 98.17 0.00
FCR
GMTA 0.0015 0.0022 0.4800 -0.0027 0.0057 0.4989 6.4586 2.5414 97.33 0.00
GSP 0.0047 0.0091 0.6079 -0.0132 0.0226 0.2633 2.4616 1.5690 95.18 0.00
aADFI: average daily feed intake; ADG: average daily gain; FBW: final body weight; FCR: feed conversion ratio; GSP: grape seed proanthocyanidins; GMTA: gallnut microencapsulated tannic acid. bSE: standard error; CI: confidence interval; TM: test of moderators; QM: model sum of squares; I2: Higgens statistics; τ2: heterogeneity variance of true effect size; τ: standard deviation of true effect size; R2: percentage of variation explained by the model.
Table 4. Meta-regression of tannins source supplementation duration effects on growth measured outcomes.
Table 4. Meta-regression of tannins source supplementation duration effects on growth measured outcomes.
Variablea Model Results Heterogeneityb
95% CI TM Mixed Model Effects
Estimate SE p-value Lower Upper QM τ2 τ I2(%) R2
ADFI
GMTA -0.0113 0.0945 0.9048 -0.1965 0.1739 0.0143 2.8266 1.6813 96.63 0.00
ADG
Chestnut -3.2762 0.2604 <.0001 -3.7866 -2.7659 158.2981 0.8039 0.8966 83.26 99.40
GMTA -1.6715 0.1233 <.0001 -1.9132 -1.4299 183.7752 0.00 0.00 0.00 100.00
FBW
Chestnut -1.6715 0.1233 <.0001 -1.9132 -1.4299 183.7752 0.00 0.00 0.00 100.00
FCR
GMTA -0.2836 0.0767 0.0002 -0.4339 -0.1333 13.6825 1.7732 1.3316 91.34 69.89
aADFI: average daily feed intake; ADG: average daily gain; FBW: final body weight; FCR: feed conversion ratio; GMTA: gallnut microencapsulated tannic acid. bSE: standard error; CI: confidence interval; TM: test of moderators; QM: model sum of squares; I2: Higgens statistics; τ2: heterogeneity variance of true effect size; τ: standard deviation of true effect size; R2: percentage of variation explained by the model.
Table 5. Meta-regression of piglets’ age effects on tannic source and growth measured outcomes association.
Table 5. Meta-regression of piglets’ age effects on tannic source and growth measured outcomes association.
Variablea Model Results Heterogeneityb
95% CIb TM Mixed Model Effects
Estimate SEb p-value Lower Upper QM τ2 τ I2(%) R2
ADFI
GSP -0.0650 0.1437 0.6509 0.1437 0.2166 0.2048 1.6443 1.2823 94.85 0.00
ADG
GSP 0.0308 0.1837 0.8669 -0.3292 0.3908 0.0281 2.7213 1.6496 96.22 0.00
FBW
GSP -0.1648 0.1565 0.2923 -0.4716 0.1419 1.1091 1.7038 1.3053 94.76 1.97
FCR
GSP -0.1249 0.1722 0.4682 -0.4624 0.2126 0.5263 2.3496 1.5329 94.70 0.00
aADFI: average daily feed intake; ADG: average daily gain; FBW: final body weight; FCR: feed conversion ratio; GMTA: gallnut microencapsulated tannic acid. bSE: standard error; CI: confidence interval; TM: test of moderators; QM: model sum of squares; I2: Higgens statistics; τ2: heterogeneity variance of true effect size; τ: standard deviation of true effect size; R2: percentage of variation explained by the model.
Table 6. Egger’s linear regression test for publication bias.
Table 6. Egger’s linear regression test for publication bias.
Items Bias SEa t-value dfa p-value
Growth Performance
Average Daily Feed Intake 4.1020 3.0431 1.35 23 0.1908
Average Daily Gain -2.7391 2.2461 -1.22 25 0.2340
Final Body Weight 3.3762 2.5073 1.35 23 0.1912
Feed Conversion Ratio -9.8262 2.9735 -3.30 23 0.0031
Serum Antioxidant Indices
MDA -4.3594 1.1747 -3.71 9 0.0048
a MDA: malondialdehydes; SE: standard error; df: degree of freedom.
Table 7. Corrected Publication Bias of Tannins Source Effect on Weaned Piglets’ Performance and Health Indices.
Table 7. Corrected Publication Bias of Tannins Source Effect on Weaned Piglets’ Performance and Health Indices.
Items dfb Random Effects Model Heterogeneityb
Effect Size p-value Q(p-value) I2 (%) τ2
Growth Performance
Average Daily Feed Intake 26 0.3874 0.5039 772.74(< 0.0001) 96.6 8.9005
Average Daily Gain 27 -2.0114 0.4911 1344.43(< 0.0001) 98.0 236.7790
Final Body Weight 25 0.8494 0.0517 0.0517(< 0.0001) 94.7 4.6938
Feed Conversion Ratio 30 -0.3920 0.4478 1415.83(< 0.0001) 97.9 8.1086
Serum Antioxidant Indices
MDA 13 -2.2764 0.5254 181.67 (< 0.0001) 92.8 171.0610
T-SOD 11 1.8200 0.0075 125.98 (< 0.0001) 91.3 4.7714
CAT 11 1.0790 0.1289 191.54 (< 0.0001) 94.3 5.7435
GSH-Px 8 2.6767 0.2590 174.24 (< 0.0001) 95.4 47.3510
T-AOC 9 3.2990 0.2666 141.13 (< 0.0001) 93.6 82.6910
Immune Indices
IgA 4 0.9356 0.8530 485.39(< 0.0001) 99.2 126.7149
IgG 4 5.7818 < 0.0001 51.91(< 0.0001) 92.3 9.2207
IgM 5 9.0259 0.6023 448.01(< 0.0001) 98.9 1783.7486
bdf: degree of freedom; I2: Higgens statistics; τ2: heterogeneity variance of true effect size; R2: percentage of variation explained by the model.
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