Submitted:
19 February 2025
Posted:
21 February 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
1.1. What Is the Gut Microbiota?
1.2. Intestinal Dysbiosis and Its Effects on Canine Health
1.3. Modulation of Intestinal Microbiota Composition
2. Materials and Methods
2.1. Systematic Literature Review
2.2. Meta-Analysis
3. Type of Postbiotics
3.1. Short-Chain Fatty Acids
3.2. Cell Wall Fragments
3.3. Exopolysaccharides
3.4. Bacteriocins
3.5. Organic Acids
3.6. Biosurfactants
3.7. Enzymes
3.8. Other Metabolites
4. Mechanisms of Action and Health Effects in Dogs
4.1. Immunomodulatory Action
4.2. Anti-Inflammatory Action
4.3. Modulatory Effects on the Gut Microbiota
4.4. Antimicrobial Action
4.5. Antioxidant Action
4.6. Other Effects of Postbiotics
5. Meta-Analysis
5.1. Fecal Parameters
5.2. Gut Microbiota
6. Production and Presentation Forms of Postbiotics
7. Future Perspectives
8. Conclusions
Supplementary Materials
Author Contributions
Funding
Review and Meta-analysis Statement
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| SCFA | Short-Chain Fatty Acids |
| BCFA | Branched-Chain Fatty Acids |
| TLR | Toll-like receptor |
| IBD | Inflammatory bowel disease |
| LPS | Lipopolysaccharide |
| AMR | Antimicrobial resistance |
| ENS | Enteric nervous system |
| CNS | Central nervous system |
| MOS | Mannan-oligosaccharides |
| FOS | Fructooligosaccharides |
| ISAPP | International Scientific Association of Probiotics and Prebiotics |
| IL | Interleukin |
| TNF-α | Tumor necrosis factor-alpha |
| GPx | Glutathione peroxidase |
| SOD | Superoxide dismutase |
| THA | Terephtalic acid |
| GSH | Reduced glutathione |
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| Postbiotic-producing microorganism | Type of postbiotics | Effect | References |
|---|---|---|---|
| Limosilactobacillus reuteri NBF 1 | Fermentation ptoducts | Modulate the composition of the intestinal microbiota. | Belà et al., 2024 [110] |
| Modulate and reduce changes in the intestinal microbiota of dogs under stress. | Belà et al., 2024 [111] | ||
| Limosilactobacillus fermentum and Lactobacillus delbrueckii | Fermentation ptoducts | Modulate and reduce changes in the intestinal microbiota of dogs under stress. Antioxidant action by increasing serum superoxide dismutase levels in stressed dogs. Fewer changes in serum levels of corticoid isoenzymes of alkaline phosphatase and alanine aminotransferase in stressed dogs. |
Koziol et al., 2023 [113] |
| Bifidobacterium animalis subsp. lactis CECT 8145 | Fermentation ptoducts | Reduction of intestinal pH in healthy dogs. Reduction in plasma levels of pancreatic polypeptide. |
Kayser et al., 2022 [114] |
| Inactivated bacteria | Reduction of pH and increase in propionate concentration in the feces of healthy dogs. | Kayser et al., 2024 [115] | |
| Lactobacillus acidophilus | Inactivated bacteria | Increase in fecal IgA concentration in healthy dogs. | Panasevich et al., 2021 [116] |
| - | - | Reduction in the production of pro-inflammatory cytokines. Reduction of serum triglyceride, cholesterol, and uric acid levels. |
Xuan et al., 2024 [109] |
| Saccharomyces cerevisiae | Short-chain fructooligosaccharides | Modulate the immune system and prevent immunosenescence in geriatric dogs. | Wambacq et al., 2024 [104] |
| Saccharomyces cerevisiae | Fermentation ptoducts | Increase leukocyte count and modulate the immune system. Modulate and reduce changes in the intestinal microbiota of dogs under stress. |
Lin et al., 2019 [105] |
| Modulate and prevent immune system changes under stress. Increase production of anti-inflammatory cytokines and decrease pro-inflammatory cytokines in stressed dogs. Modulate and reduce changes in the intestinal microbiota of dogs under stress. |
Timlin et al., 2024 [106] | ||
| Decrease the severity of lesions produced by atopic dermatitis (PVAS10 and OA-SASI indices). Modulate and reduce changes in the intestinal microbiota of dogs with atopic dermatitis. |
Tate et al., 2024 [107] | ||
| Control immune response, transepidermal water loss, and sebum concentration in dogs with atopic dermatitis. Antioxidant action by increasing serum superoxide dismutase and catalase levels. |
Wilson et al., 2022 [108] | ||
| Modulate and reduce changes in the intestinal microbiota of dogs under stress. | Oba et al., 2022 [112] |
| Meta-analysis parameter | Analyzed studies |
|---|---|
| Fecal score | Lin et al., 2019 [105] Oba et al., 2022 [112] Panasevich et al., 2021 [116] |
| Fecal pH | Lin et al., 2019 [105] Oba et al., 2022 [112] Kayser et al., 2024 [115] Panasevich et al., 2021 [116] |
| Fecal acetate concentration | |
| Fecal propionate concentration | |
| Fecal butyrate concentration | |
| Fecal isobutyrate concentration | |
| Fecal isovalerate concentration | |
| Fecal valerate concentration | |
| Fecal phenol concentration | |
| Fecal indole concentration | |
| Shannon index | Tate et al., 2024 [107] Oba et al., 2022 [112] Koziol et al., 2023 [113] |
| Richness | Lin et al., 2019 [105] Tate et al., 2024 [107] Koziol et al., 2023 [113] Oba et al., 2022 [112] Panasevich et al., 2021 [116] |
| Abundance of major bacterial phyla (Fusobacteria, Firmicutes, Actinobacteria, Bacteroidetes, and Proteobacteria) | Lin et al., 2019 [105] Tate et al., 2024 [107] Oba et al., 2022 [112] Panasevich et al., 2021 [116] |
| Parameter | Group | Mean value | Q-test | p | Fail-Safe N | p | Begg and Mazumdar Rank Correlation | p | Egger's Regression | p |
|---|---|---|---|---|---|---|---|---|---|---|
| Fecal score | Control | 3.13 | 0.0004 | 0.9998 | 0.000 | 0.419 | -1.000 | 0.333 | -0.019 | 0.985 |
| Supplemented | 3.17 | 0.0003 | 0.9999 | 0.000 | 0.418 | -1.000 | 0.333 | -0.015 | 0.988 | |
| pH | Control | 6.29 | 0.0007 | 1.000 | 0.000 | 0.324 | 0.183 | 0.718 | 0.013 | 0.990 |
| Supplemented | 6.32 | 0.0008 | 1.000 | 0.000 | 0.324 | -0.183 | 0.718 | 0.001 | 0.999 | |
| Acetate1 | Control | 311 | 1.0220 | 0.7959 | 4.000 | 0.013 | 0.183 | 0.718 | -0.082 | 0.935 |
| Supplemented | 313 | 0.9112 | 0.8227 | 4.000 | 0.012 | -0.183 | 0.718 | -0.073 | 0.942 | |
| Propionate1 | Control | 160 | 0.2018 | 0.9773 | 0.000 | 0.128 | -0.183 | 0.718 | -0.125 | 0.901 |
| Supplemented | 167 | 0.1839 | 0.9801 | 0.000 | 0.117 | -0.183 | 0.718 | -0.114 | 0.910 | |
| Butyrate1 | Control | 61.05 | 3.1650 | 0.3669 | 25.000 | < 0.001 | 0.183 | 0.718 | -0.204 | 0.839 |
| Supplemented | 70.65 | 5.1391 | 0.1619 | 35.000 | < 0.001 | 0.183 | 0.718 | 0.378 | 0.705 | |
| Isobutyrate1 | Control | 5.75 | 0.0082 | 0.9998 | 0.000 | 0.333 | 0.913 | 0.071 | 0.085 | 0.932 |
| Supplemented | 5.80 | 0.0079 | 0.9998 | 0.000 | 0.333 | 0.548 | 0.279 | 0.076 | 0.940 | |
| Isovalerate1 | Control | 8.67 | 0.0169 | 0.9994 | 0.000 | 0.258 | 0.913 | 0.071 | 0.122 | 0.903 |
| Supplemented | 8.93 | 0.0189 | 0.9993 | 0.000 | 0.253 | 0.548 | 0.279 | 0.103 | 0.918 | |
| Valerate1 | Control | 3.14 | 0.0593 | 0.9962 | 0.000 | 0.401 | 0.548 | 0.279 | 0.133 | 0.895 |
| Supplemented | 4.51 | 0.1052 | 0.9912 | 0.000 | 0.362 | 0.548 | 0.279 | 0.159 | 0.874 | |
| Phenol1 | Control | 1.58 | 0.0226 | 0.9991 | 0.000 | 0.448 | 0.913 | 0.071 | 0.094 | 0.925 |
| Supplemented | 1.41 | 0.0182 | 0.9994 | 0.000 | 0.454 | 0.913 | 0.071 | 0.075 | 0.941 | |
| Indole1 | Control | 1.49 | 0.0009 | 1.0000 | 0.000 | 0.455 | 0.913 | 0.071 | 0.030 | 0.976 |
| Supplemented | 1.42 | 0.0006 | 1.000 | 0.000 | 0.458 | 0.913 | 0.071 | 0.024 | 0.981 |
| Parameter | Estimated effect | p | Q-test | p | Fail-Safe N | p | Begg and Mazumdar Rank Correlation | p | Egger's Regression | p |
|---|---|---|---|---|---|---|---|---|---|---|
| Fecal score | 0.0946 | 0.624 | 1.064 | 0.587 | 0.000 | 0.268 | 1.000 | 0.333 | 0.954 | 0.340 |
| pH | -0.1052 | 0.621 | 4.647 | 0.200 | 0.000 | 0.242 | -1.000 | 0.083 | -1.606 | 0.108 |
| Acetate | 0.1287 | 0.463 | 3.178 | 0.365 | 0.000 | 0.213 | 0.333 | 0.750 | 0.434 | 0.664 |
| Propionate | 0.2802 | 0.276 | 6.086 | 0.107 | 0.000 | 0.058 | 0.333 | 0.750 | 1.005 | 0.315 |
| Butyrate | 0.8601 | 0.361 | 32.035 | < 0.001 | 6.000 | 0.007 | 0.667 | 0.333 | 5.089 | < 0.001 |
| Isobutyrate | 0.0302 | 0.862 | 0.221 | 0.974 | 0.000 | 0.445 | -0.667 | 0.333 | -0.235 | 0.814 |
| Isovalerate | 0.1017 | 0.560 | 0.684 | 0.877 | 0.000 | 0.296 | 0.000 | 1.000 | -0.276 | 0.782 |
| Valerate | 0.3887 | 0.124 | 5.863 | 0.118 | 3.000 | 0.015 | 0.667 | 0.333 | 1.357 | 0.175 |
| Phenol | -0.1400 | 0.424 | 2.326 | 0.508 | 0.000 | 0.158 | -1.000 | 0.083 | -1.377 | 0.168 |
| Indole | -0.1381 | 0.429 | 1.414 | 0.702 | 0.000 | 0.182 | -0.667 | 0.333 | -0.822 | 0.411 |
| Parameter | Group | Mean value | Q-test | p | Fail-Safe N | p | Begg and Mazumdar Rank Correlation | p | Egger's Regression | p |
|---|---|---|---|---|---|---|---|---|---|---|
| Richness | Control | 142 | 0.1282 | 0.9980 | 0.000 | 0.110 | -0.200 | 0.817 | 0.003 | 0.998 |
| Supplemented | 139 | 0.0861 | 0.9991 | 0.000 | 0.107 | 0.000 | 1.000 | 0.058 | 0.954 | |
| Shannon index | Control | 4.06 | 0.0030 | 0.9985 | 0.000 | 0.389 | 0.333 | 1.000 | 0.039 | 0.969 |
| Supplemented | 4.11 | 0.0047 | 0.9977 | 0.000 | 0.382 | 0.333 | 1.000 | 0.062 | 0.951 | |
| Fusobacteria2 | Control | 23.10 | 0.3484 | 0.9507 | 2.000 | 0.028 | 0.000 | 1.000 | 0.446 | 0.656 |
| Supplemented | 20.52 | 0.1548 | 0.9845 | 1.000 | 0.042 | 0.333 | 0.750 | 0.309 | 0.758 | |
| Firmicutes2 | Control | 61.31 | 1.3877 | 0.7084 | 29.000 | < 0.001 | -1.000 | 0.083 | -1.149 | 0.251 |
| Supplemented | 63.21 | 1.0321 | 0.7935 | 34.000 | < 0.001 | -0.667 | 0.333 | -0.941 | 0.346 | |
| Actinobacteria2 | Control | 1.59 | 0.0019 | 1.0000 | 0.000 | 0.451 | -0.333 | 0.750 | -0.016 | 0.987 |
| Supplemented | 3.35 | 0.0302 | 0.9986 | 0.000 | 0.387 | 0.667 | 0.333 | 0.072 | 0.943 | |
| Bacteroidetes2 | Control | 16.75 | 0.2647 | 0.9665 | 0.000 | 0.080 | 1.000 | 0.083 | 0.446 | 0.656 |
| Supplemented | 17.14 | 0.2467 | 0.9697 | 0.000 | 0.072 | 0.333 | 0.750 | 0.358 | 0.720 | |
| Proteobacteria2 | Control | 5.43 | 0.0092 | 0.9998 | 0.000 | 0.328 | 1.000 | 0.083 | 0.093 | 0.926 |
| Supplemented | 5.50 | 0.0082 | 0.9998 | 0.000 | 0.322 | 0.333 | 0.750 | 0.074 | 0.941 |
| Parameter | Estimated effect | p | Q-test | p | Fail-Safe N | p | Begg and Mazumdar Rank Correlation | p | Egger's Regression | p |
|---|---|---|---|---|---|---|---|---|---|---|
| Richness | -0.0900 | 0.539 | 2.631 | 0.621 | 0.000 | 0.313 | 0.400 | 0.483 | 0.909 | 0.363 |
| Shannon index | 0.0254 | 0.892 | 1.242 | 0.537 | 0.000 | 0.400 | 1.000 | 0.333 | 1.114 | 0.265 |
| Fusobacteria | -0.1476 | 0.355 | 0.413 | 0.938 | 0.000 | 0.178 | 0.000 | 1.000 | -0.062 | 0.951 |
| Firmicutes | 0.0571 | 0.720 | 0.274 | 0.965 | 0.000 | 0.347 | 0.333 | 0.750 | 0.285 | 0.775 |
| Actinobacteria | 0.1150 | 0.471 | 0.513 | 0.916 | 0.000 | 0.251 | -0.333 | 0.750 | -0.313 | 0.755 |
| Bacteroidetes | 0.0574 | 0.719 | 0.146 | 0.986 | 0.000 | 0.377 | -0.333 | 0.750 | -0.314 | 0.754 |
| Proteobacteria | 0.0360 | 0.821 | 0.653 | 0.884 | 0.000 | 0.431 | -0.333 | 0.750 | -0.359 | 0.720 |
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