Sulfated Chinese Yam Polysaccharides Alleviate LPS-Induced Acute Inflammation in Mice through Modulating Intestinal Microbiota

This study aimed to test the preventive anti-inflammatory properties of Chinese yam polysaccharides (CYP) and sulfated Chinese yam polysaccharides (SCYP) on LPS-induced systemic acute inflammation in mice and investigate their mechanisms of action. The results showed that SCYP can efficiently reduce plasma TNF-α and IL-6 levels, exhibiting an obvious anti-inflammation ability. Moreover, SCYP reduced hepatic TNF-α, IL-6, and IL-1β secretion more effectively than CYP, and significantly altered intestinal oxidative stress levels. In addition, a 16S rRNA gene sequencing analysis showed that CYP regulated the gut microbiota by decreasing Desulfovibrio and Sutterella and increasing Prevotella. SCYP changed the gut microbiota by decreasing Desulfovibrio and increasing Coprococcus, which reversed the microbiota dysbiosis caused by LPS. Linear discriminant analysis (LDA) effect size (LEfSe) revealed that treatment with CYP and SCYP can produce more biomarkers of the gut microbiome that can promote the proliferation of polysaccharide-degrading bacteria and facilitate the intestinal de-utilization of polysaccharides. These results suggest that SCYP can differentially regulate intestinal flora, and that they exhibit anti-inflammatory effects, thus providing a new reference to rationalize the exploitation of sulfated yam polysaccharides.


Introduction
Inflammation is a complicated physiological phenomenon which can be triggered by either infectious or non-infectious conditions [1,2]. Cytokines, such as tumor necrosis factor (TNF)-α and interleukin (IL)-6, have been known to play significant roles in inflammatory responses. They are released from cells, which causes the expression of adhesion molecules to recruit lymphocytes, monocytes, and neutrophils, and then move out of vessels to tissues, such as the liver, and induce inflammation and oxidative stress [3]. Lipopolysaccharide, an ideal inflammatory molding agent, derives from the cell wall of gram-negative bacteria and is an important component of the bacterial outer membrane, which can be recognized by the innate immune system [4]. Lipopolysaccharide entering the blood can trigger a systemic inflammatory response and may further cause multi-organ damage and dysfunction in the liver, lungs, intestines, kidneys, and brain, which can lead to clinically identified sepsis [5]. To alleviate inflammation, researchers have tried to find biologically active substances of natural origin. Many plant-derived natural compounds exhibit good biological activities with low toxic effects, and polysaccharides are one of the macromolecules that have received much attention for this reason [6].
Many plant-derived natural compounds exhibit good biological activities with low toxic effects, and polysaccharides are one of the macromolecules that have received much attention for this reason [6][7][8]. It has been demonstrated that polysaccharides perform 4 of 15 to make homogenate, and the centrifugal collection of supernatants was conducted in the same way outlined in Section 2.5. The protein concentrations in the collected supernatants were determined using a BCA kit, and SOD, CAT, MDA, and IL-1β levels were measured according to the kit instructions.

16S rRNA High-Throughput Sequencing
After the mice were sacrificed, the colon of each mouse was isolated, the colonic contents were packed in EP tubes by extruding them with forceps, and these were stored in a −80 • C freezer. Total DNA was extracted from the colon contents according to the DNA extraction kit instructions. The extracted DNA was subjected to 0.8% agarose gel electrophoresis for molecular size determination and was quantified using a UV spectrophotometer. Bacterial 16S rRNA V3-V4 region-specific primers were used for PCR amplification. The primers were 338F: 5 -ACTCCTACGGGAGGCAGCA-3 and 806R: 5 -GGACTACHVGGGTWTCTAAT-3 . The PCR products were purified using 2% gel electrophoresis, quantified using the Quant-iT PicoGreen dsDNA Assay Kit, and mixed according to the amount of data required for each sample. Library construction was performed using the Illumina's TruSeq Nano DNA LT Library Prep Kit. The libraries were quality-checked on Agilent Bioanalyzer using the Agilent High Sensitivity DNA Kit and quantified on Promega QuantiFluor using the Quant-iT PicoGreen dsDNA Assay Kit. For qualified libraries with concentrations above 2 nM, 2 × 250 bp double-end sequencing was performed on a MiSeq machine using the MiSeq Reagent Kit V3 (600 cycles).

Statistical Analysis
Data were shown as the means ± standard deviation (SD). IBM SPSS statistical software 20 was used for statistical analysis. A data significance analysis was performed using one-way ANOVA and Duncan s multiple range test. p < 0.05 or p < 0.01 was considered as significant.

Body Weight and Organ Index
Throughout the entire experiment, changes in the body weight of the mice in each group were monitored ( Figure 1A,B). After the intraperitoneal injection with LPS, a 9% weight loss was observed in the M group compared with the N group (p < 0.05). Compared with the M group, neither aspirin nor CYP treatment restored the weight loss caused by LPS. However, the SCYP group exhibited a significant (p < 0.05) improvement in body weight compared with the M group, indicating that the administration of SCYP could dramatically inhibit LPS-induced weight loss.
According to the results of the spleen index calculation, the spleens of the mice in group M were significantly enlarged by the intraperitoneal injection of LPS compared with those of the normal group (p < 0.05). This result is similar to that obtained in [26], in which it was found that the and spleen indices increased in the LPS-treated group compared with the untreated group. The spleen is the largest lymphatic organ and its functions include blood storage, the removal of aging red blood cells, and immune response, and it can therefore reflect the body's inflammatory condition. Thus, the result revealed that the spleen was swollen, and the body was inflamed. Interestingly, this enlargement was not reduced by gavage with CYP, but with SCYP (p < 0.05). The liver index was significantly reduced in the M group compared with the normal group (p < 0.05). The CYP and SCYP were able to restore the hepatic index to a normal level compared with the model group (p < 0.05) ( Table 1).

Plasma Inflammatory Cytokines
The results of the plasma pro-inflammatory cytokine changes in the mice are presented in Figure 1B,C. In normal mouse plasma, low levels of TNF-α and very low levels of IL-6 are typically detected. After LPS stimulation, TNF-α and IL-6 levels were significantly increased compared with those of the normal mice (p < 0.01). Compared with those of the M group, the TNF-α and IL-6 levels showed an extremely significant decrease in both the CYP-treated group and the SCYP-treated group (p < 0.01). The CYP group showed a stronger reduction plasma TNF-α and IL-6 levels than the SCYP group (p < 0.05). Overall, CYP and SCYP were effective in reducing both plasma TNF-α and IL-6 pro-inflammatory factors ( Figure 1C,D). that the spleen was swollen, and the body was inflamed. Interestingly, this enlargement was not reduced by gavage with CYP, but with SCYP (p < 0.05). The liver index was significantly reduced in the M group compared with the normal group (p < 0.05). The CYP and SCYP were able to restore the hepatic index to a normal level compared with the model group (p < 0.05) ( Table 1).  Values are expressed as means ± standard deviation (SD). Different lowercase letters represent significant differences between different groups (p < 0.05) (n = 5).

Plasma Inflammatory Cytokines
The results of the plasma pro-inflammatory cytokine changes in the mice are presented in Figure 1B,C. In normal mouse plasma, low levels of TNF-α and very low levels of IL-6 are typically detected. After LPS stimulation, TNF-α and IL-6 levels were significantly increased compared with those of the normal mice (p < 0.01). Compared with those of the M group, the TNF-α and IL-6 levels showed an extremely significant decrease in both the CYP-treated group and the SCYP-treated group (p < 0.01). The CYP group showed a stronger reduction plasma TNF-α and IL-6 levels than the SCYP group (p < 0.05). Overall, CYP and SCYP were effective in reducing both plasma TNF-α and IL-6 pro-inflammatory factors ( Figure 1C,D).  Values are expressed as means ± standard deviation (SD). Different lowercase letters represent significant differences between different groups (p < 0.05) (n = 5).

Liver Inflammatory Cytokines
Compared with that of the N group, there was a significant increase in the level of TNF-α in the livers of the mice after LPS stimulation (p < 0.05) (Figure 2A). Compared with that of the M group, the CYP group showed a slight reduction in TNF-α level. However, the pre-administration of SCYP caused a significant reduction (p < 0.05). The IL-6 level was significantly increased in the model group compared with the N group (p < 0.05). Interestingly, pre-treatment with SCYP resulted in a significant recovery, and even a return to normal levels ( Figure 2B). The level of IL-1β was significantly higher in the M group compared with the normal group (p < 0.05). CYP and SCYP had comparable effects; they both significantly reduced the level of IL-1β (p < 0.05) ( Figure 2C). In general, CYP and SCYP both exhibited a great anti-inflammatory effect by decreasing the production of proinflammatory cytokines, and SCYP showed the better effect than CYP.
was significantly increased in the model group compared with the N group (p < Interestingly, pre-treatment with SCYP resulted in a significant recovery, and eve turn to normal levels ( Figure 2B). The level of IL-1β was significantly higher in group compared with the normal group (p < 0.05). CYP and SCYP had comparable they both significantly reduced the level of IL-1β (p < 0.05) ( Figure 2C). In genera and SCYP both exhibited a great anti-inflammatory effect by decreasing the produc proinflammatory cytokines, and SCYP showed the better effect than CYP.

Jejunal Oxidative Stress Factors and Inflammatory Factors
Indicators related to oxidative stress in the jejunal segment of the small intestin tested. For both of the antioxidant enzymes SOD and CAT, the model group sho significant decrease compared with the N group (p < 0.05) ( Figure 3A,B). The polys ride-treated groups had higher levels of both enzymes than the M group. For th oxidation hazard MDA, the model group presented a significant elevation compare the normal control group (p < 0.05) ( Figure 3C). A slight reduction in MDA was fo the polysaccharide-treated group compared with the M group. A significant differ the inflammatory factor IL-1β was not observed in any group ( Figure 3D).

Jejunal Oxidative Stress Factors and Inflammatory Factors
Indicators related to oxidative stress in the jejunal segment of the small intestine were tested. For both of the antioxidant enzymes SOD and CAT, the model group showed a significant decrease compared with the N group (p < 0.05) ( Figure 3A,B). The polysaccharidetreated groups had higher levels of both enzymes than the M group. For the lipid oxidation hazard MDA, the model group presented a significant elevation compared with the normal control group (p < 0.05) ( Figure 3C). A slight reduction in MDA was found in the polysaccharide-treated group compared with the M group. A significant difference in the inflammatory factor IL-1β was not observed in any group ( Figure 3D).

α-Diversity and β-Diversity Analysis of Colon Microbiota
Alpha diversity refers to the indicator of richness, diversity, and evenness of species, and larger Shannon-Simpson, Chao1, and observed indices represent higher within-hab-

α-Diversity and β-Diversity Analysis of Colon Microbiota
Alpha diversity refers to the indicator of richness, diversity, and evenness of species, and larger Shannon-Simpson, Chao1, and observed indices represent higher within-habitat diversity. Four indices were used to evaluate the effect of LPS modeling and CYP and SCYP on the α-diversity of the intestinal microflora ( Figure 4A). Compared with the N group, increases in the Shannon-Simpson, Chao1, and observed species indices (p < 0.05) of the intestinal microflora were observed in the CYP and SCYP groups. No significant difference in Simpson index was observed in any of the groups. This indicates that CYP could increase richness and evenness of the gut microorganisms.

Microbial Community Composition
According to the phylum-level species composition diagram ( Figure 5A), the top four represented bacteria were Bacteroidetes, Firmicutes, Proteobacteria, and TM7 (in that order). The specific relative abundance values of each phylum in each group are shown in Figure  5B-E. The relative abundance of Bacteroidetes was significantly increased in the M, CYP, and SCYP groups compared with the N group (p < 0.05). The relative abundance of Proteobacteria increased significantly in the LPS group compared with the N group (p < 0.05). However, the relative abundance was decreased by the polysaccharide treatment. A significant decrease in the relative abundance of Firmicutes and TM7 was observed in the LPS group compared with the N group (p < 0.05). Interestingly, polysaccharide treatment can reverse the change in gut microbiota caused by LPS. A β-diversity analysis was used to evaluate the structural changes in the intestinal flora. A principal component analysis (PCA) based on Euclidean distance showed that the individuals in each experimental group exhibited significantly different differential clustering ( Figure 4B). The N group was completely separated from the M, CYP, and SCYP groups on the x-axis (87.9%), indicating that LPS treatment greatly altered the intestinal structure of the mice. The CYP and SCYP groups were mostly separate from the M group and mostly overlapped with the N group on the y-axis (11.9%). This suggests that CYP and SCYP treatment affords partial resistance to LPS-induced alterations in gut microflora structure, and these groups increasingly resembled the normal group. This result was similar to the aforementioned results in which pre-treatment with polysaccharides decreased proinflammatory factors when the compared with the absence of such treatment. This might be because the intestinal flora was not seriously damaged by LPS.

Microbial Community Composition
According to the phylum-level species composition diagram ( Figure 5A), the top four represented bacteria were Bacteroidetes, Firmicutes, Proteobacteria, and TM7 (in that order). The specific relative abundance values of each phylum in each group are shown in Figure 5B-E. The relative abundance of Bacteroidetes was significantly increased in the M, CYP, and SCYP groups compared with the N group (p < 0.05). The relative abundance of Proteobacteria increased significantly in the LPS group compared with the N group (p < 0.05). However, the relative abundance was decreased by the polysaccharide treatment. A significant decrease in the relative abundance of Firmicutes and TM7 was observed in the LPS group compared with the N group (p < 0.05). Interestingly, polysaccharide treatment can reverse the change in gut microbiota caused by LPS. The overall species composition of the top 20 bacteria at the genus level is sho Figure 6A, and the specific relative abundance values for each genus are shown in F 6B-G. The relative abundance of Lactobacilllus was significantly reduced in the LPS compared with the N group (p < 0.05), and preventive administration of both polysa rides did not restore the relative abundance. The relative abundances of Shigella, fovibrio, and Sutterella were significantly elevated in the LPS group compared with group (p < 0.05). Compared with group M, shigella was less abundant in the CY SCYP groups, but the difference was not significant. Desulfovibrio was significant duced in both the CYP and SCYP groups, in which it reached the level of group N 0.05). Moreover, the relative abundance of Sutterella was significantly reduced in th group (p < 0.05). There was no significant difference in Prevotella in the N, M, and groups, though a significant elevation was observed in the CYP group compared these (p < 0.05). There was no significant difference in the relative abundance of Cop cus in the N, M, and CYP groups, though a significant elevation was observed in the group compared with these (p < 0.05). The overall species composition of the top 20 bacteria at the genus level is shown in Figure 6A, and the specific relative abundance values for each genus are shown in Figure 6B-G. The relative abundance of Lactobacilllus was significantly reduced in the LPS group compared with the N group (p < 0.05), and preventive administration of both polysaccharides did not restore the relative abundance. The relative abundances of Shigella, Desulfovibrio, and Sutterella were significantly elevated in the LPS group compared with the N group (p < 0.05). Compared with group M, shigella was less abundant in the CYP and SCYP groups, but the difference was not significant. Desulfovibrio was significantly reduced in both the CYP and SCYP groups, in which it reached the level of group N (p < 0.05). Moreover, the relative abundance of Sutterella was significantly reduced in the CYP group (p < 0.05). There was no significant difference in Prevotella in the N, M, and SCYP groups, though a significant elevation was observed in the CYP group compared with these (p < 0.05). There was no significant difference in the relative abundance of Coprococcus in the N, M, and CYP groups, though a significant elevation was observed in the SCYP group compared with these (p < 0.05).

Biomarker Bacteria
A linear discriminant analysis effect size (LEfSe) combining the rank sum test an discriminant analysis was used to identify significantly changed microbial taxa. The cl ogram demonstrates the taxonomic hierarchical distribution of marker species in e group of samples, with larger solid nodes representing more significant enrichment (F ure 7A). Setting 4 as the LDA score threshold, the histogram shows the biomarker bacte and their significance, with longer bar lengths representing more significant differen ( Figure 7B). In group N, p_Firmicutes, f_Lactobacillaceae, o_Lactobacillales, c_Bacilli, g_La bacillus, and f_Rikenellaceae were specific. p_Proteobacteria, c_Gammaproteobacteria, f_En obacterianceae, o_Enterobacteriales, and g_Shigella were the biomarkers in group M. The C group was enriched with p_Bacteroidetes, c_Bacteroidia, o_Bacteroidales, f_Prevotellac g_Prevotella, f_Flavobacteriaceas, o_Flavobacteriales, and c_Flavobacteriia. The SCYP gro was enriched with f_Bacteroidaceae, g_Bacteroides, and g_Pasteurella.

Biomarker Bacteria
A linear discriminant analysis effect size (LEfSe) combining the rank sum test and a discriminant analysis was used to identify significantly changed microbial taxa. The cladogram demonstrates the taxonomic hierarchical distribution of marker species in each group of samples, with larger solid nodes representing more significant enrichment ( Figure 7A). Setting 4 as the LDA score threshold, the histogram shows the biomarker bacteria and their significance, with longer bar lengths representing more significant differences ( Figure 7B). In group N, p_Firmicutes, f_Lactobacillaceae, o_Lactobacillales, c_Bacilli, g_Lactobacillus, and f_Rikenellaceae were specific. p_Proteobacteria, c_Gammaproteobacteria, f_Enterobacterianceae, o_Enterobacteriales, and g_Shigella were the biomarkers in group M. The CYP group was enriched with p_Bacteroidetes, c_Bacteroidia, o_Bacteroidales, f_Prevotellaceae, g_Prevotella, f_Flavobacteriaceas, o_Flavobacteriales, and c_Flavobacteriia. The SCYP group was enriched with f_Bacteroidaceae, g_Bacteroides, and g_Pasteurella.

Biomarker Bacteria
A linear discriminant analysis effect size (LEfSe) combining the rank sum test and a discriminant analysis was used to identify significantly changed microbial taxa. The cladogram demonstrates the taxonomic hierarchical distribution of marker species in each group of samples, with larger solid nodes representing more significant enrichment (Figure 7A). Setting 4 as the LDA score threshold, the histogram shows the biomarker bacteria and their significance, with longer bar lengths representing more significant differences ( Figure 7B). In group N, p_Firmicutes, f_Lactobacillaceae, o_Lactobacillales, c_Bacilli, g_Lactobacillus, and f_Rikenellaceae were specific. p_Proteobacteria, c_Gammaproteobacteria, f_Enterobacterianceae, o_Enterobacteriales, and g_Shigella were the biomarkers in group M. The CYP group was enriched with p_Bacteroidetes, c_Bacteroidia, o_Bacteroidales, f_Prevotellaceae, g_Prevotella, f_Flavobacteriaceas, o_Flavobacteriales, and c_Flavobacteriia. The SCYP group was enriched with f_Bacteroidaceae, g_Bacteroides, and g_Pasteurella.

Discussion
Inflammation is part of a protective reaction against damage caused by invading microorganisms. It is essential to trim or adjust it to avoid any increasing morbidity or shortening of life resulting from its excessive interactions. Chinese yam, a traditional Chinese medicinal and edible plant, has immunoregulatory functions. SCYP, a complex polysaccharide obtained from Chinese yam, was used to explore its effect on inflammation. In the present study, the administration of SCYP was found to alleviate inflammation by changing the composition of the gut microbiota. In order to simulate systemic inflammation induced by infectious injury, an intraperitoneal injection of LPS was used to establish the disease model. This model can be used to identify bioactive substances that can effectively prevent and alleviate inflammation in various parts of the organism. The body and organs have their normal weight ranges, and abnormal changes are associated with abnormal body conditions. Lipopolysaccharides can cause abnormal weight loss, possibly due to increased leptin levels [27]. Previous studies have shown that LPS causes the atrophy of the thymus and the enlargement of the spleen [26,28]. Splenomegaly is a common symptom of immune disorders and infectious inflammation, and this study found that SCYP can alleviate splenomegaly by establishing that SCYP can reduce the spleen index in cy-induced immunosuppressed mice [19]. Abnormal liver weight is a very obvious sign of the development of liver disease, and LPS not only causes the enlargement of the liver, but also its atrophy [29]. In the present study, liver weight was reduced after LPS damage, but was effectively prevented by both CYP and SCYP (Table 1).
In a study by Guo et al., LPS stimulation for 4 h was found to induce 5-to 10-fold increases in TNF-α and IL-6 in the blood, numbers that were even higher in this study after stimulation for 12 h [30]. Increased inflammatory cytokines in the blood, especially TNF-α and IL-6, are the main features of LPS-induced acute inflammation in mice [30]. TNF-α is a multifunctional cytokine that increases vascular permeability, induces fever, has potent proinflammatory effects, and plays a role in the induction of other inflammatory factors [31,32]. TNF-α is positively associated with a variety of inflammatory diseases, such as rheumatoid arthritis, acute liver injury, and lung cancer [30]. IL-6 is a more complex cytokine because it can be produced by immune and non-immune cells in multiple organ systems and act on multiple organ systems [31,33]. IL-6 has proinflammatory and pyrogenic functions, and overproduction exacerbates local or systemic inflammation [30]. IL-6 and TNF-α are always present together, showing the same trends, and are likewise positively correlated with various inflammatory diseases. SCYP can effectively reduce the concentration of TNF-α and IL-6 in the blood, indicating that both polysaccharides can inhibit the secretion of systemic pro-inflammatory factors and exert an anti-inflammatory effect ( Figure 2).
Intraperitoneal injection of LPS can cause very typical acute liver injury and inflammation in mice. LPS, a typical pathogen-associated molecular pattern (PAMP), binds to pattern-recognition receptors (PRRs) on hepatic immune cells to initiate inflammatory responses after transport to the liver via portal blood [34]. In the response process, the lipopolysaccharide stimulates the immune cells to release a variety of inflammatory factors and chemokines which accelerate the recruitment of neutrophils, macrophages, and other immune cells, resulting in the release of more pro-inflammatory factors, including TNF-α, IL-6, and IL-1β [35][36][37]. Variations in IL-1β concentrations are associated with pathophysiological changes in different disease states and can be used to monitor disease progression [36,38]. In the present study, stimulation of LPS greatly increased the release of pro-inflammatory cytokines from the liver. Although CYP did not decrease the secretion of TNF-α in the liver, it successfully reduced the production of IL-6 and IL-1β. SCYP effectively reduced the production of three pro-inflammatory factors and was more effective than CYP. One study showed that 50 mg/kg sulfated Cyclocarya paliurus polysaccharides reduced IL-6 to normal levels in the liver, and in this study, 100 mg/kg SCYP also reduced IL-6 to normal levels (12 ng/mL). Sulfated polysaccharides were more effective than natural polysaccharides in both studies [29]. Overall, both CYP and SCYP could alleviate the inflammatory response of the liver caused by LPS, and the effectiveness of SCYP is superior (Figure 3).
The α-diversity analysis revealed that the LPS treatment did not cause a difference between the mice in the LPS group and those in the normal group (Figure 4), a result which is consistent with those of other studies [39]. CYP increased three indices, indicating its ability to increase the diversity of the microbial community, and SCYP did not show this effect. In the β-diversity analysis, it was seen that treatment with both yam polysaccharides could partially change the community structure, distinguishing it from the model group (Figure 4).
At the phylum level, Bacteroidetes and Firmicutes are the two most abundant bacteria in the normal intestine [40], and the ratio of Bacteroidetes to Firmicutes increased after LPS treatment, indicating that the homeostasis of the organism's intestinal environment was disrupted, resulting in an imbalance [41]. The addition of polysaccharides slightly reversed this imbalance. The abundance of Proteobacteria increased after LPS treatment. Most Proteobacteria are pathogenic gram-negative bacteria, and as markers of dysbiosis in the intestinal flora, their abnormally elevated levels are associated with inflammatory diseases [39]. There was a tendency for Proteobacteria to decrease after treatment with yam polysaccharides ( Figure 5). Sulfated Cyclocarya paliurus polysaccharides reduced the relative abundance of Proteobacteria to 5% in one study, and SCYP was similarly reduced to 5% in this study [40].
At the genus level, two yam polysaccharides have the effect of altering the relative abundance of certain genera. Shigella is a kind of pathogenic bacteria belonging to the Enterobacteriaceae family which is positively correlated with metabolic endotoxin levels and the severity of systemic inflammation, and its increase may lead to intestinal barrier damage and increased permeability, exacerbating bacterial invasion and translocation [42,43]. Desulfovibrio, a kind of gram-negative conditional pathogenic bacteria, is classified as a genus of pro-inflammatory bacteria because of its high endotoxin content [44]. Desulfovibrio can reduce sulfate to produce H 2 S, which can trigger epithelial apoptosis and intestinal barrier damage, and is associated with obesity and inflammation [45,46]. Sutterella is an important kind of commensal bacteria found in the intestinal tract, and changes in its levels have been associated with diseases including autism, depression, Down syndrome, obesity, and inflammatory bowel disease [47][48][49][50]. Sutterella, a member of the Proteobacteria classification, is abnormally increased in intestinal flora disorders [49]. Numerous studies have shown that intraperitoneal injection of LPS causes an increase in the genera Shigella, Desulfovibrio, and Sutterella, and the results of the present study are consistent with this observation [51]. Pretreatment with both polysaccharides had a tendency to reduce Shigella. Both CYP and SCYP were effective in reducing Desulfovibrio to normal levels, and SCYP showed better effects. Additionally, CYP effectively inhibited Sutterella. The above results indicate that both polysaccharides inhibit the growth of harmful bacteria with different strengths.
Prevotella is a dominant genus of bacteria in the human intestine which is associated with plant-based diets rich in carbohydrates and fiber, and which helps to break down polysaccharides [52,53]. Prevotella can produce propionic acid, which has the effect of preventing obesity and reducing the risk of diabetes [53,54]. CYP increased Prevotella, indicating that CYP effectively changed the mouse enterotype so that the mouse intestine could better utilize polysaccharides to produce SCFAs. Coprococcus can synthesize acetate and butyrate. Acetate may be a source of energy for endurance exercise, and butyrate is not only the main source of energy for colonic cells but can also play an anti-inflammatory role [20,[55][56][57]. The experimental results suggest that SCYP may have a beneficial effect on intestinal health by increasing the proportion of Coprococcus in the intestine. These results suggest that the two polysaccharides regulate the intestinal flora by promoting the growth of different beneficial bacteria.
The LEfSe analysis revealed that, in the LPS group, Proteobacteria, Gammaproteobacteria, Enterobacterianceae, Enterobacteriales, and Shigella were the dominant species, and most of these are pathogenic or conditionally pathogenic bacteria [39,42]. Bacteroidia, Bacteroidales, Prevotellaceae, Prevotella, Flavobacteriaceas, Flavobacteriales, and Flavobacteriia were biomarkers of CYP and are associated with the degradation of biopolymers [58,59]. This indicates that CYP promoted the proliferation of polysaccharide-degrading bacteria and facilitated the intestinal de-utilization of polysaccharides. Bacteroidaceae, Bacteroides, and Pasteurella became SCYP biomarkers. Bacteroidaceae was the dominant bacterial family, indicating that SCYP promoted the proliferation of polysaccharide-utilizing bacteria. Pasteurella appeared somewhat anomalously, as was the case in a cactus polysaccharide study in which Pasteurella became the dominant bacterium in the polysaccharide group [60].
Substrate specificity is a key facet of the microbial response to complex carbohydrates. Thus, polysaccharides with different structures will be fermented with different kinds of microbiota, resulting in a new component of the gut microbiota. The present study revealed that the two polysaccharides selectively modulated the composition of the gut microbiota, among which SCYP produced different regulatory effects on the gut microbiota and exerted different anti-inflammatory effects from those of CYP, possibly because of its higher number of sulfate groups, higher galactose content, and larger Mw [25]. The effect of the intestinal flora was mediated via the gut-liver axis, where SCYP had a better prophylactic and antiinflammatory effect than CYP, probably because SCYP was better able to indirectly act on the hepatic receptors to produce a response. The intestinal flora results showed that, overall, CYP was more able than SCYP to promote beneficial bacteria to become the dominant bacteria, a result consistent with the better effect of CYP on alleviating inflammation in the blood circulation. Our previous study showed that sulfation modification could enhance the immunomodulatory activity of yam polysaccharides [19,25], and this present study has shown that sulfation modification can improve the anti-inflammatory activity of yam polysaccharides in certain organs, supporting the notion that chemical modification has different effects on different biological activities. To clarify the differential effects of CYP and SCYP, further research on the anti-inflammatory molecular mechanisms of both should be studied.

Conclusions
The present study has demonstrated that sulfated yam polysaccharide has preventive alleviating effects on LPS-induced systemic acute inflammation, including the restoration of body weight and organ index and the reduction of inflammatory factors (TNF-α, IL-6, and IL-1β) released in the blood and liver, which may be associated with maintaining normal intestinal flora and reversing intestinal flora imbalance. CYP and SCYP reduced pathogenic bacteria; CYP increased Prevotella, and SCYP increased Coprococcus. CYP and SCYP have different effects on the regulation of the intestinal flora and have different advantageous anti-inflammatory effects on different organ systems, which can be attributed to the changes in molecular structure after sulfated modification. This study also showed that both polysaccharides, as natural and modified active substances, can be expected to improve the health of the body when used as prebiotics, and that they may also have the potential to be used as prophylactic agents for the treatment of inflammatory diseases. The molecular mechanisms involved in the sulfated yam polysaccharides can be further researched.