| Literature DB >> 31505802 |
Saioa Gómez-Zorita1,2, Leixuri Aguirre1,2, Iñaki Milton-Laskibar3,4, Alfredo Fernández-Quintela1,2, Jenifer Trepiana1, Naroa Kajarabille1, Andrea Mosqueda-Solís1, Marcela González5, María P Portillo1,2.
Abstract
Several studies have observed that gut microbiota can play a critical role in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) development. The gut microbiota is influenced by different environmental factors, which include diet. The aim of the present review is to summarize the information provided in the literature concerning the impact of changes in gut microbiota on the effects which dietary fat has on liver steatosis in rodent models. Most studies in which high-fat feeding has induced steatosis have reported reduced microbiota diversity, regardless of the percentage of energy provided by fat. At the phylum level, an increase in Firmicutes and a reduction in Bacteroidetes is commonly found, although widely diverging results have been described at class, order, family, and genus levels, likely due to differences in experimental design. Unfortunately, this fact makes it difficult to reach clear conclusions concerning the specific microbiota patterns associated with this feeding pattern. With regard to the relationship between high-fat feeding-induced changes in liver and microbiota composition, although several mechanisms such as alteration of gut integrity and increased permeability, inflammation, and metabolite production have been proposed, more scientific evidence is needed to address this issue and thus further studies are needed.Entities:
Keywords: dietary fat; dysbiosis; gut microbiota; liver; rodent; steatosis
Mesh:
Year: 2019 PMID: 31505802 PMCID: PMC6770892 DOI: 10.3390/nu11092156
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Studies conducted in rodent models using lard-based high-fat diets.
| Reference | Animal Model | % Fat | Main Fat Source | Changes in Gut Microbiota | Potential Mechanisms Involved in the Relationship between Changes in Microbiota and Liver Steatosis |
|---|---|---|---|---|---|
| Gauffin Cano et al. (2012) [ | Male C57BL-6 mice (6–8-week-old) | 60% | Lard | ↓ | ↑ Production of TNF-α by macrophages and dendritic cells (in vitro, stool-induced) |
| Mei et al. (2015) [ | Male Sprague–Dawley rats | 45% | Lard | ↑ | Not detailed |
| Seo et al. (2015) [ | Male C57BL/6 mice (6-week-old) | 45% | Lard | ↑ | Not detailed |
| Wang et al. (2015) [ | Male C57BL/6J mice (10-week-old) | 60% | Lard | ↑ | ↑ Hepatic |
| Leal-Díaz et al. (2016) [ | Male C57BL/6 mice (5-week-old) | 45% | Lard | ↓ Bacteria diversity | Not detailed |
| Liu et al. (2016) [ | Male Sprague–Dawley rats (5-week-old) | 60% | Lard | ↓ | ↑ LPS levels in plasma |
| Monteiro et al. (2016) [ | Male C57BL/6 mice | 38% | Lard | ↑ | ↑ LPS |
| Tian et al. (2016) [ | Male Sprague–Dawley rats (8–9-week-old) | 45% | Lard | ↑ | Not detailed |
| Tung et al. (2016) [ | Male C57BL/6 mice (5-week-old) | 45% | Lard | ↓ | Not detailed |
| Chiu et al. (2017) [ | Male GF C57BL/6JNarl mice (3–4-week-old) | 60% | Lard | ↑ | Not detailed |
| Duparc et al. (2017) [ | C57BL/6 WT mice (Hepatocyte-specific Myd88 KO mice) | 60% | Lard | ↑ Bacterial diversity | Not detailed |
| Feng et al. (2017) [ | Male Sprague–Dawley rats (4-week-old) | 45% | Lard | ↑ | ↑ LPS levels in plasma |
| Porras et al. (2017) [ | Male C57BL/6J mice (7-week-old) | 60% | Lard | ↓ Concentration of total bacteria | ↓ Intestinal tight-junction |
| Su et al. (2017) [ | Male BALB/c mice (4–6-week-old) | 60% | Lard | ↑ | ↑ LPS levels in plasma |
| Wang et al. (2017) [ | Male ICR mice (4-week-old) | 60% | Lard | ↓ | Not detailed |
| Xu et al. (2017) [ | Male C57BL/6J mice (10-week-old) | 60% | Lard | ↑ | Not detailed |
| Chen et al. (2018) [ | Male Sprague–Dawley rats (6-week-old) | 60% | Lard | ↑ | Not detailed |
| Jia et al. (2018) [ | C57BL/6 J mice (6-week-old) | 60% | Lard | ↑ | Not detailed |
| Jing et al. (2018) [ | Male C57BL/6J mice | 60% | Lard | ↓ | Not detailed |
| Li et al. (2018) [ | Male C57BL/6J mice (8-week-old) | 60% | Lard | ↑ | Not detailed |
| Li et al. (2018) [ | Male C57BL/6J mice | 30% | Lard | ↑ | Not detailed |
| Martins et al. (2018) [ | Female C57BL/6 mice (deficient in IL-23) | 60% | Lard | ↑ | ↑LPS levels in plasma |
| Wang et al. (2018) [ | C57BL/6 J mice | 60% | Lard | ↑ | Not detailed |
| Wu et al. (2018) [ | C57BL/6 J mice | 60% | Lard | ↑ | Not detailed |
| Chen et al. (2019) [ | C57BL/6J WT mice | 60% | Lard | ↑ | ↑Mucosal damage |
| C57BL/6J ASC-KO mice | 60% | Lard | ↓ Bacterial diversity | ↑Mucosal damage | |
| Duan et al. (2019) [ | BALB/c mice | 45% | Lard | ↑ | Not detailed |
| Tang et al. (2019) [ | Male Sprague–Dawley rats (6-week-old) | 60% | Lard | ↑ | Changes in bile acids (↑ taurocholic and |
| Wu et al. (2019) [ | Male C57BL/c mice | 60% | Lard | ↓ | Not detailed |
ASC-KO: apoptosis-associated speck-like protein containing a C-terminal caspase recruitment domain knock-down, CD63: cluster of differentiation 63, GF: germ free, HF: high-fat, HMGB1: high mobility group box 1, ICR: institute of Cancer Research, IL-23: interleukin 23, LPS: lipopolysaccharide, SCFA: short-chain fatty acids, SPF: specific pathogen-free, TNFα: tumor necrosis factor α, WT: wild-type. ↑: significant increase, ↓: significant decrease.
Studies conducted in rodent models using high-fat diets with fat of origins other than lard (butter, milk, plant-based, or unknown origin).
| Reference | Animal Model | % Fat | Main Fat Source | Changes in Gut Microbiota | Potential Mechanisms Involved in the Relationship between Changes in Microbiota and Liver Steatosis |
|---|---|---|---|---|---|
| Baldwin et al. (2016) [ | Male C57BL/6J mice (4-week-old) | 34% | Butter | ↓ | ↑ Mucosal damage |
| Collins et al. (2016) [ | Male C57BL/6J mice | 44% | Soybean oil | ↓ | ↓ Intestinal mucosa integrity |
| Foster et al. (2016) [ | Male Wistar rats | 45% | Cocoa butter | ↑ | Not detailed |
| Tian et al. (2016) [ | Male Sprague–Dawley rats (8–9-week-old) | 45% | Lard (1/2) + FOH (1/2) | ↑ | Not detailed |
| Lard (3/4) + POH (1/4) | ↑ | Not detailed | |||
| Ishioka et al. (2017) [ | C57BL/6 mice | 60% | Not specified | ↑ | Not detailed |
| Xu et al. (2017) [ | Male C57BL/6J (10-week-old) | 60% | Not specified | ↓ | Intestinal morphology changes |
| Yamada et al. (2017) [ | SPF C57BL/6J mice | 72% | Not specified (high content of SFA and cholesterol) | ↓ | Not detailed |
| Zhou et al. (2017) [ | Male C57BL/6J mice | 20% | Rapeseed oil | ↓ | ↑ Total SCFA content (feces) |
| Zhuang et al. (2017) [ | C57BL/6J mice (4-week-old) | 45% | Milk-based fat | ↓ Microbial richness | ↓ Villus and crypt lengths (cecum section) |
| Li et al. (2018) [ | Male mice C57BL/6J(4-week-old) | 60% | Not specified | ↓ | ↑ NF-κB activation and |
| Natividad et al. (2018) [ | Male C57BL/6J | 38% | Milk fat | ↓ | Not detailed |
| Milard et al. (2019) [ | Male C57Bl/6 mice | 46% | Palm oil | ↑ | Not detailed |
| Palm oil + 1.1% MPL | ↑ | Not detailed | |||
| Palm oil + 1.6% MPL | ↓ | ↑ Crypt depth (vs. HF) |
Cd11c: cluster of differentiation 11c, Cd68: cluster of differentiation 68, HF: high-fat, FOH: fish-oil-rich diet, IL-6: interleukin-6, LCFA: long-chain fatty acid, MPL: milk polar lipids, LPS: lipopolysaccharide, NF-κB: nuclear factor kappa B, POH: perilla-oil-rich diet, SCFA: short-chain fatty acid, SFA: saturated fatty acid, SPF: specific pathogen-free, TNFα: tumor necrosis factor α, UFA: unsaturated fatty acid. ↑: significant increase, ↓: significant decrease.
Figure 1Involvement of inflammation, induced by changes in microbiota associated with high-fat feeding, in liver steatosis development. (Based on Porras et al., 2018 [70]). HFD: High-fat diet, LPS: lipopolysaccharide, TLR-4: Toll-like receptor 4, NF-κB: Nuclear factor κB, TNF-α: Tumor necrosis factor α, IL-6: Interleukin-6.
Figure 2Effects of high-fat diet derived dysbiosis in hepatic in hepatic de novo lipogenesis and liver lipid accumulation (Based on Parnell et al. [70]. HFD: High-fat diet, ACC: acetyl-CoA carboxylase, FAS: fatty acid synthase, SREBP1c: sterol regulatory element-binding protein 1c, CHREBP: carbohydrate responsive element-binding protein, NASH: nonalcoholic steatohepatitis.