Literature DB >> 35984175

Changes in intestinal microbiota of HBV-associated liver cirrhosis with/without hepatic encephalopathy.

Xiaoli Hua1, Hao Feng1,2.   

Abstract

The compositional balance of intestinal microbiota plays an important role in maintaining homeostasis. This study aimed to investigate the intestinal flora of hepatitis B virus-associated liver cirrhosis (HBV-LC) with or without hepatic encephalopathy (HE) and how it relates to the disease. A total of 20 patients with HBV-LC were enrolled in this study, along with 10 healthy adults. The participants were divided into HE group, non-HE group, and control group. Fecal samples were collected under the condition of patients' daily diet, and the 16S rRNA test was performed for each fecal sample. The relative abundance of Bacteroidia, Streptococcaceae, Streptococcus, Veillonella, Bacteroidales, Lactobacillales, Pasteurellales, and Veillonella parvula increased in the HBV-LC group. Meanwhile, the relative weights of Pasteurellales, Pasteurellaceae, Haemophilus, and Selenomonas significantly increased in the HE group. Furthermore, in the non-HE group, the relative abundance of Veillonella increased. Intestinal microbiota was significantly different from controls with respect to a lack of potentially beneficial autochthonous bacteria and overgrowth of potentially pathogenic genera in patients with HBV-LC. Moreover, there was a greater change in the relative abundance of intestinal flora when complicated with HE.
Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35984175      PMCID: PMC9387969          DOI: 10.1097/MD.0000000000029935

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


1. Introduction

It has been proved that the compositional balance of intestinal microbiota plays an important role in maintaining homeostasis. In patients with hepatitis B virus (HBV)–associated liver cirrhosis (HBV-LC), this balance is disturbed; when complicated with hepatic encephalopathy (HE), this imbalance is more overt.[ However, the mechanism underlying this change in the intestinal flora affects the progression of HBV infection remains unclear, and there is still some conflicting data. Therefore, to further investigate the intestinal flora of patients with different grades of HBV-LC and how it relates to the disease, we designed the following study.

2. Materials and Methods

2.1. Patients

A total of 20 inpatients in Nanjing Jiangbei Hospital from January 2019 to June 2020 with HBV-LC were enrolled in this study (HBV-LC group). These patients had a mean age of 60.65 ± 12.42 years (range: 36–89 years) and included 5 females (25%) and 15 males (75%). Among them, 5 patients matching the definition of HE were included in the HE group and 15 in the non-HE (nHE) group. The diagnosis was based on the guidelines for chronic hepatitis B diagnosis of the American Association for the Study of Liver Diseases.[ All patients tested positive for serum HBsAg for >24 weeks. Ten healthy individuals were also enrolled as normal controls (control group), as shown in Table 1.
Table 1

Baseline characteristics of the groups.

ControlHBV-LCnHEHE
Age (yr)59.21 ± 11.0960.65 ± 12.4261.73 ± 13.5560.11 ± 9.54
M/F7/315/511/44/1
ALT (U/L)13.24 ± 16.64101.35 ± 67.52**140.13 ± 65.02**95.16 ± 107.04**
AST (U/L)19.58 ± 13.02112.07 ± 133.45**151.04 ± 39.41**89.15 ± 118.25**
PT (s)13.12 ± 3.0418.21 ± 11.12*16.46 ± 4.52*20.16 ± 8.21**
TB (μmol/L)18.02 ± 11.3648.22 ± 71.62**41.25 ± 39.41**68.02 ± 70.16**
WBC (×109/L)5.40 ± 1.684.14 ± 2.27*4.45 ± 2.11*2.40 ± 2.14**
ALB (g/L)41.74 ± 7.631.17 ± 10.3**34.11 ± 9.5**25.75 ± 11.25**
HBV-DNA (Log10 copies/mL)None3.74 ± 3.073.98 ± 3.753.14 ± 2.97

ALB = albumin, ALT = alanine aminotransferase, AST = aspartate aminotransferase, HBV = hepatitis B virus, HBV-LC = hepatitis B virus-associated liver cirrhosis, HE = hepatic encephalopathy, nHE = nonhepatic encephalopathy, PT = prothrombin time, TB = total bilirubin, WBC = white blood cell.

P < .05;

P < .01.

Baseline characteristics of the groups. ALB = albumin, ALT = alanine aminotransferase, AST = aspartate aminotransferase, HBV = hepatitis B virus, HBV-LC = hepatitis B virus-associated liver cirrhosis, HE = hepatic encephalopathy, nHE = nonhepatic encephalopathy, PT = prothrombin time, TB = total bilirubin, WBC = white blood cell. P < .05; P < .01. The exclusion criteria included the following: a positive pregnancy test in females, received immunomodulator treatment in the previous 6 months, coinfection with human immunodeficiency virus, presence of thyroid dysfunction, alcoholic hepatitis, autoimmune diseases, and psychological issues. The study protocol was approved and monitored by the Ethics Committee of Nanjing Jiangbei Hospital, and written informed consent was obtained from all participants. All data could be accessed after data collection.

2.2. Methods

Fecal samples were collected under the condition of patients’ daily diet, and the 16S rRNA test was performed for each fecal sample. 16S rRNA-targeted sequencing was performed according to the Earth Microbiome Project standard protocols (http://www.earthmicrobiome.org). PCR amplification of the extracted DNA, along with water controls, was conducted with barcoded primers targeting the V4 region of the 16S rDNA gene 515F (5′-GTGCCAGCMGCCGCGGTAA-3′) and 806R (5′-GGACTACHVGGGTWTCTAAT-3′).

2.3. Statistical analysis

Results of sequences are reported as mean ± standard deviation. Independent samples t test was performed for statistical comparison between the 2 groups, whereas the 1-way ANOVA method was performed for multiple comparisons. Data analysis and sample size calculation were conducted using the SPSS version 16.0 for Windows (SPSS Inc., Chicago, IL). Comparisons of bacterial relative abundance between groups were performed using nonparametric t tests on nontransformed data. All statistical analyses involving 16S sequencing data were performed using QIIME 1.9. The confidence interval was 95%.

3. Results

3.1. Baseline characteristics of the groups

There was no significant difference in the average age and gender between the groups, and the liver function indexes of the cirrhosis group were significantly abnormal compared with the control group (Table 1). A total of 1898,796 sequences were obtained, and these samples contained 57,042 to 72,107 sequences. These data were clustered into 655 operational taxonomic units (OTUs). The HBV-LC group had more OTUs than the control group (597 vs 532), whereas a total of 474 OTUs were present in both groups (Fig. 1A). Subgroup analysis showed that there were 568 OTUs in the nHE group, 443 OTUs in the HE group, and only 364 OTUs in all 3 groups (Fig. 1B).
Figure 1.

There were 655 OTUs in both groups. The HBV-LC group had 597 OTUs, with a total of 474 OTUs present in both HBV-LC and control groups (A). Subgroup analysis found that there were 568 OTUs in the nHE group, 443 OTUs in the HE group, and only 364 OTUs in all 3 groups (B). The relative abundance of Bacteroidia, Streptococcaceae, Streptococcus, Veillonella, Bacteroidales, Lactobacillales, Pasteurellales, and Veillonella parvula increased in the HBV-LC group (C). Meanwhile, the relative weight of Pasteurellales, Pasteurellaceae, Haemophilus, and Selenomonas significantly increased in the HE group. Further, Veillonella was abundant in the nHE group (D). HBV-LC = hepatitis B virus-associated liver cirrhosis, HE = hepatic encephalopathy, nHE = nonhepatic encephalopathy, OUT = operational taxonomic unit.

There were 655 OTUs in both groups. The HBV-LC group had 597 OTUs, with a total of 474 OTUs present in both HBV-LC and control groups (A). Subgroup analysis found that there were 568 OTUs in the nHE group, 443 OTUs in the HE group, and only 364 OTUs in all 3 groups (B). The relative abundance of Bacteroidia, Streptococcaceae, Streptococcus, Veillonella, Bacteroidales, Lactobacillales, Pasteurellales, and Veillonella parvula increased in the HBV-LC group (C). Meanwhile, the relative weight of Pasteurellales, Pasteurellaceae, Haemophilus, and Selenomonas significantly increased in the HE group. Further, Veillonella was abundant in the nHE group (D). HBV-LC = hepatitis B virus-associated liver cirrhosis, HE = hepatic encephalopathy, nHE = nonhepatic encephalopathy, OUT = operational taxonomic unit.

3.2. Difference in bacterial relative abundance between HBV-LC and control groups

In the HBV-LC group, the abundance of the following significantly increased: Bacteroidia (37.95 ± 20.19 vs 23.52 ± 16.31, P = .049) at the class level; Streptococcaceae (5.60 ± 9.07 vs 0.81 ± 1.30, P = .035) at the family level; Streptococcus (5.60 ± 9.07 vs 0.81 ± 1.30, P = .039) and Veillonella (4.34 ± 5.96 vs 0.01 ± 0.01, P < .001) at the genus level; Bacteroidales (37.95 ± 20.20 vs 23.52 ± 16.31, P = .049), Lactobacillales (8.29 ± 12.75 vs 1.07 ± 1.61, P = .024), and Pasteurellales (2.00 ± 3.85 vs 0.48 ± 1.53, P = .002) at the order level; and Veillonella parvula (2.32 ± 3.485 vs 0.01 ± 0.01, P < .001) at the species level. In contrast, in the control group, the relative abundance of the following significantly increased: Lachnospiraceae (9.69 ± 6.34 vs 29.67 ± 16.74, P < .001) at the family level; Adlercreutzia (0.004 ± 0.013 vs 0.06 ± 0.11, P = .012) and Blautia (1.31 ± 1.72 vs 13.48 ± 11.82, P < .001) at the genus level; Turicibacterales (0.01 ± 0.03 vs 1.65 ± 4.35, P = .044) at the order level; and Blautia obeum (0.01 ± 0.14 vs 0.95 ± 1.30, P = .028) at the species level (Table 2, Fig. 1C, Supplement material, http://links.lww.com/MD/H238).
Table 2

The difference in bacterial relative abundance between HBV-LC and healthy groups.

ControlHBV-LCP value
MeanSDMeanSD
Bacteroidales 23.52376416.30601337.95426120.19444.049031
Bacteroidia 23.52376416.30601337.95426120.19444.049031
Lactobacillales 1.0734621.6062028.28810812.754144.024424
Streptococcaceae 0.8121921.2998565.6006539.068546.034989
Streptococcus 0.8100951.2951565.5955759.070227.039247
Veillonella 0.0053310.0091512.3182743.4755442.90E-05
Pasteurellales 0.4862851.5281851.9957833.847864.002181
Pasteurellaceae 0.4862851.5281851.9957833.847864.002181
Haemophilus 0.4279461.3453971.8879653.621697.003491
Lachnospira 0.0839020.1173860.9317761.386918.032788
Cardiobacterium 000.000930.001366.040647
Cardiobacteriales 000.000930.001366.040647
Cardiobacteriaceae 000.000930.001366.040647
Selenomonas 000.015970.037348.000904
Megasphaera 0.0477330.1414770.1509010.322845.027435
Leptotrichiaceae 000.0205830.06715.025595
Leptotrichia 000.0205830.06715.025595
Adlercreutzia 0.0598370.1077480.0041380.01272.011633
Anaerotruncus 0.0210050.0226560.0047710.016548.019643
Holdemania 0.0141020.0097980.007330.014407.027506
Staphylococcaceae 0.0016260.0021930.000290.000756.027521
Staphylococcus 0.0016260.0021930.000290.000756.027521
Dorea 1.2830491.2005510.4587380.540815.036559
Finegoldia 0.0019340.0040178.50E-050.00038.019407
Anaerofustis 0.0026490.00585500.012696
Coprobacillus 0.0023950.00545500.003278
Turicibacteraceae 1.6524914.3536180.0094810.034521.043581
Turicibacter 1.6524914.3536180.0094810.034521.043581
Turicibacterales 1.6524914.3536180.0094810.034521.043581
Ruminococcus 0.220980.214950.1302450.455451.01229
Coprococcus 4.4956055.3870190.3068760.393368.001916
Blautia 13.47822111.8224721.3064731.7203953.20E-05
Lachnospiraceae 29.67482116.7386679.687576.3365.00E-04

HBV-LC = hepatitis B virus-associated liver cirrhosis, SD = standard deviation.

The difference in bacterial relative abundance between HBV-LC and healthy groups. HBV-LC = hepatitis B virus-associated liver cirrhosis, SD = standard deviation.

3.3. Difference in bacterial relative abundance among nHE, HE, and control groups

Although there was no significant difference among the nHE, HE, and control groups at the class level, the relative abundance of the following significantly increased in both nHE and HE groups: Pasteurellaceae (1.86 ± 3.92 and 2.39 ± 4.04 vs 0.49 ± 1.53, P = .007) at the family level; Haemophilus (1.74 ± 3.64 and 2.34 ± 3.96 vs 0.43 ± 1.35, P = .011), Selenomonas (0.02 ± 0.04 and 0.01 ± 0.02 vs 0 ± 0, P < .001), and Veillonella (4.41 ± 6.13 and 4.13 ± 6.09 vs 0.01 ± 0.01, P < .001) at the genus level; Pasteurellales (1.86 ± 3.92 and 2.39 ± 4.05 vs 0.49 ± 1.53, P = .007) at the order level; and Ruminococcus torques (0.34 ± 0.07 and 0.42 ± 0.91 vs 0.22 ± 0.21, P = .028), V. dispar (0.41 ± 0.80 and 1.19 ± 2.17 vs 0 ± 0, P < .001), and V. parvula (2.78 ± 3.86 and 0.92 ± 1.40 vs 0.01 ± 0.01, P < .001) at the species level. At the same time, in the control group, there was a significant increase in the relative abundance of Lachnospiraceae (9.09 ± 6.39 and 11.48 ± 6.53 vs 29.67 ± 16.73, P = .004) at the family level; Adlercreutzia (0.01 ± 0.02 and 0 ± 0 vs 0.059 ± 0.108, P = .039), Blautia (1.36 ± 1.88 and 1.13 ± 1.27 vs 13.48 ± 11.82, P < .001), Coprococcus (0.31 ± 0.43 and 0.31 ± 0.29 vs 4.50 ± 5.39, P = .007), and Dorea (0.33 ± 0.42 and 0.86 ± 0.72 vs 1.28 ± 1.2, P = .024) at the genus level; Turicibacterales (0.13 ± 0.04 and 0 ± 0 vs 1.65 ± 4.35, P = .044) at the order level; and B. producta (0.07 ± 0.16 and 0.11 ± 0.13 vs 0.65 ± 0.88, P = .011), Clostridium clostridioforme (0.11 ± 0.17 and 0.18 ± 0.21 vs 1.26 ± 1.878, P = .011), Collinsella stercoris (0 ± 0 and 0 ± 0 vs 0.14 ± 0.26, P = .004), and Enterococcus casseliflavus (0 ± 0 and 0 ± 0 vs 0.101 ± 0.02, P = .036) at the species level (Table 3, Fig. 1D, Supplement material, http://links.lww.com/MD/H238).
Table 3

The difference in bacterial relative abundance among nHE, HE, and healthy groups.

controlnHEHEP value
MeanSDMeanSDMeanSD
Pasteurellales 0.4862851.5281851.8638463.916942.3915944.045885.006597
Pasteurellaceae 0.4862851.5281851.8638463.916942.3915944.045885.006597
Haemophilus 0.4279461.3453971.7372493.6358372.3401113.961812.011022
Selenomonas 000.0160980.0421870.0155880.019909.000855
Veillonella 0.0082540.0132434.4066836.1313364.1284376.0935668.60E-05
Lachnospiraceae 29.67482116.7386679.0896926.38391311.4812046.533466.003732
Blautia 13.47822111.8224721.364571.8824141.1321831.267295.000161
Coprococcus 4.4956055.3870190.305390.4308130.3113340.292189.007344
Turicibacterales 1.6524914.3536180.0126420.03968100.044909
Turicibacter 1.6524914.3536180.0126420.03968100.044909
Turicibacteraceae 1.6524914.3536180.0126420.03968100.044909
Anaerofustis 0.0026490.0058550000.04029
Dorea 1.2830491.2005510.3264090.4183810.8557220.71692.023988
Coprobacillus 0.0023950.0054550000.011877
Adlercreutzia 0.0598370.1077480.0053180.0145980.0005970.001334.038697
Holdemania 0.0141020.0097980.0093060.0161910.0014020.003136.04656

HE = hepatic encephalopathy, nHE = no hepatic encephalopathy, SD = standard deviation.

The difference in bacterial relative abundance among nHE, HE, and healthy groups. HE = hepatic encephalopathy, nHE = no hepatic encephalopathy, SD = standard deviation.

4. Discussion

It has been proved that the balance and type species of microorganisms inhabiting the intestine are crucial for maintaining the normal function of the host. Some diseases, such as obesity, fatty liver, and inflammatory bowel disease, are associated with their imbalance.[ Recently, growing evidence has shown that changes in the intestinal flora play an important role in the pathogenesis of liver disease; however, the conclusions of various studies are inconsistent. In the present study, we observed and compared the community- and metabolism-wide changes in fecal microbiota in different groups. The results showed that there were significant differences in the abundance of bacterial flora between the HBV-LC group and the control group. Subgroup analysis of HBV-LC showed that the distribution of gut microbiota was also significantly altered between the 2 groups with or without HE, and the imbalance was more pronounced in the nHE group. Our study findings show that the relative abundance of Bacteroidia, Streptococcaceae, Cardiobacteriaceae, Veillonella, Bacteroidales, and Pasteurellales was significantly higher in the HBV-LC group than in the control group, but the relative abundance of Lachnospiraceae, Adlercreutzia, Blautia, and Turicibacterales significantly reduced (P < .05). This suggests that the intestinal flora in patients with HBV-LC is significantly different from that in healthy people, which is consistent with previous findings in the literature. Further subpopulation analysis revealed that the relative abundance of Pasteurellales, Pasteurellaceae, Haemophilus, and Selenomonas was much larger in the HE group, whereas in the nHE group, the relative abundance of Veillonella increased significantly. However, the relative abundance of Lachnospiraceae, Blautia, Coprococcus, Turicibacterales, Anaerofustis, Dorea, and Finegoldia was significantly higher in the control group. Our results show that the relative abundance of Pasteurellaceae and Pasteurellales in the stool of patients with HBV-LC increased significantly. Through the study of model rats with liver cirrhosis, Feng et al[ found that prebiotic supplements can increase the relative abundance of Pasteurellaceae, thereby reducing the degree of liver cirrhosis. Rao et al[ found that the relative abundance of Pasteurellales was significantly higher in people who consumed alcohol, which was believed to be related to alcohol. Our study found that the relative abundance of Pasteurellales also increased in patients with HE caused by HBV-LC, indicating that Pasteurellales is related not only to alcohol but also to other factors, such as abnormal blood ammonia level and lower immunity in HE. Chen et al[ proved that HBV-infected patients had higher Haemophilus abundance. On the other hand, Lv et al[ found that the abundance of Haemophilus significantly reduced after rifaximin treatment while studying the effects of rifaximin in the treatment of refractory ascites. Through analysis of duodenal microbiota in patients with cirrhosis and healthy controls, Chen et al[ found that Haemophilus was enriched in healthy controls. These conclusions are inconsistent; however, our study showed that the level of Haemophilus significantly increased in patients with HE. It was proved that Selenomonas was a significantly abundant oral bacterium in HBV-LC.[ Congruently, the present study revealed that the relative abundance of Selenomonas in the feces of patients with HE increased. This confirmed that there was a translocation of Selenomonas, which may be related to the imbalance of normal intestinal flora, further suggesting that there was a major change in the intestinal microenvironment of patients with HE. It was proved that severe patients with alcoholic hepatitis had high levels of Veillonella, which decreased after rifaximin treatment.[ Wei et al[ found that Veillonella was the most strongly disease-associated taxa, which was positively correlated with the serum level of aspartate aminotransferase and liver inflammation in patients with autoimmune hepatitis. Several studies confirmed that the abundance of Veillonella increases in patients with cirrhosis.[ In the current study, we also found that the relative abundance of Veillonella increased in patients with liver cirrhosis, which is consistent with the foregoing conclusion. However, when complicated by HE, the relative abundance of Veillonella decreased. However, similar reports of this were not found. Lachnospiraceae are found in the intestines of healthy people. It was revealed that the severity of liver cirrhosis in mouse models with higher abundance of Lachnospiraceae significantly reduced,[ and compared with rats with CCl4-induced fibrotic liver, Lachnospiraceae was present in the feces of healthy mice at higher levels.[ Through Bajaj successfully treated alcohol use disorder using fecal microbiota transplant via retention enema from a donor enriched with Lachnospiraceae,[ which confirmed that Lachnospiraceae can protect liver cells. In the present study, the relative abundance of Lachnospiraceae was found to be significantly reduced in the HBV-LC group. Benítez-Páez et al[ studied the abundance of Blautia in the gut microbiota of obese children, and indicated that Blautia help reduce inflammation causally linked to obesity-related complications. Zhao et al[ found that CHB can disrupt the balance of gut microbiota and that the change in its abundance is associated with liver injury. Our research results confirmed that the prevalence of Blautia was significantly lower in the stool of patients with HBV-LC than that of healthy adults. This suggests that the abundance of probiotic flora reduced and the intestinal protection ability was weakened when CHB developed with cirrhosis. At present, related research on Turicibacteraceae, Turicibacter, and Turicibacterales focus on their association with alcoholic or nonalcoholic fatty liver disease (NAFLD) and diabetes. It is believed that their abundance is positively correlated with liver inflammation and can reduce when inflammation recovers.[ Studies involving NAFLD have shown that a high-fat diet can induce a reduction in the relative abundance of Turicibacter.[ Our research confirms that the abundance of Turicibacteraceae, Turicibacter, and Turicibacterales was significantly higher in the stool of healthy adults than in that of patients with HBV-LC, indicating the similarities of the intestinal flora between patients with HBV-LC and those with NAFLD. Through a meta-analysis of 15 studies, Li et al[ concluded that the abundance of Coprococcus in patients with NAFLD decreased. Yao et al[ found that the abundance of Coprococcus was negatively correlated with serum bilirubin level and the international normalized ratio and was positively correlated with prothrombin time percent activity. Additionally, Coprococcus exists in the intestinal tract of adults. Lv et al[ found that the abundance of Coprobacillus increased after rifaximin treatment with intravenous antibiotics. In the present study, it was found that the relative abundance of Coprococcus in the feces of healthy people was significantly higher than that of patients with HBV-LC.

5. Conclusions

This study demonstrated that the relative abundance of Bacteroidia, Streptococcaceae, Streptococcus, Veillonella, Bacteroidales, Lactobacillales, Pasteurellales, and V. parvula increased in patients with HBV-LC. In particular, Pasteurellales, Pasteurellaceae, Haemophilus, and Selenomonas were significantly abundant in patients with HE, whereas the abundance of Veillonella was high in the nHE group. We also found that intestinal microbiota of patients with HBV-LC was significantly different from that of controls with respect to a lack of potentially beneficial autochthonous bacteria and overgrowth of potentially pathogenic genera in patients with HBV-LC. Moreover, there was a higher change in the relative abundance of intestinal flora when complicated with HE. These conclusions will help to further study the pathogenesis of patients with HBV-LC and HE. The small sample population and short duration of follow-up are the limitations of this study. Moreover, the relative abundance of intestinal microbiota was preliminarily discussed, yet the exact mechanism of change remains unknown. Hence, we will further investigate the pathways related to the immune system and intestinal microbiota.

Author contributions

Xiaoli Hua analyzed and interpreted the patient data. Hao Feng was a major contributor in writing the manuscript. All authors read and approved the final manuscript.
  24 in total

1.  ACG Clinical Guideline: Small Intestinal Bacterial Overgrowth.

Authors:  Mark Pimentel; Richard J Saad; Millie D Long; Satish S C Rao
Journal:  Am J Gastroenterol       Date:  2020-02       Impact factor: 10.864

2.  [Correlation between gut microbiota and liver biochemical indicators in patients with chronic hepatitis B].

Authors:  Zhifang Zhao; Song Qin; Li Wang; Lili Li; Youde Liu; Lixia Deng; Zhiqiang Zou
Journal:  Sheng Wu Gong Cheng Xue Bao       Date:  2021-01-25

3.  [The guidelines of prevention and treatment for chronic hepatitis B (2019 version)].

Authors: 
Journal:  Zhonghua Gan Zang Bing Za Zhi       Date:  2019-12-20

4.  Predicting Clinical Outcomes of Cirrhosis Patients With Hepatic Encephalopathy From the Fecal Microbiome.

Authors:  Chang Mu Sung; Yu-Fei Lin; Kuan-Fu Chen; Huei-Mien Ke; Hao-Yi Huang; Yu-Nong Gong; Wen-Sy Tsai; Jeng-Fu You; Meiyeh J Lu; Hao-Tsai Cheng; Cheng-Yu Lin; Chia-Jung Kuo; Isheng J Tsai; Sen-Yung Hsieh
Journal:  Cell Mol Gastroenterol Hepatol       Date:  2019-04-18

5.  The intestinal microbiota regulates host cholesterol homeostasis.

Authors:  Tiphaine Le Roy; Emelyne Lécuyer; Benoit Chassaing; Moez Rhimi; Marie Lhomme; Samira Boudebbouze; Farid Ichou; Júlia Haro Barceló; Thierry Huby; Maryse Guerin; Philippe Giral; Emmanuelle Maguin; Nathalie Kapel; Philippe Gérard; Karine Clément; Philippe Lesnik
Journal:  BMC Biol       Date:  2019-11-27       Impact factor: 7.431

6.  Rifaximin improves survival in cirrhotic patients with refractory ascites: A real-world study.

Authors:  Xin-Yue Lv; Hui-Guo Ding; Jun-Fu Zheng; Chun-Lei Fan; Lei Li
Journal:  World J Gastroenterol       Date:  2020-01-14       Impact factor: 5.742

7.  RSPO4-CRISPR alleviates liver injury and restores gut microbiota in a rat model of liver fibrosis.

Authors:  Linghua Yu; Linlin Wang; Xiaojun Wu; Huixing Yi
Journal:  Commun Biol       Date:  2021-02-18

8.  Development of an Advanced Multicellular Intestinal Model for Assessing Immunomodulatory Properties of Anti-Inflammatory Compounds.

Authors:  Diego Marescotti; Giuseppe Lo Sasso; Diego Guerrera; Kasper Renggli; Pedro A Ruiz Castro; Romain Piault; Vincent Jaquet; Fabian Moine; Karsta Luettich; Stefan Frentzel; Manuel C Peitsch; Julia Hoeng
Journal:  Front Pharmacol       Date:  2021-04-16       Impact factor: 5.810

9.  Dysbiosis of small intestinal microbiota in liver cirrhosis and its association with etiology.

Authors:  Yanfei Chen; Feng Ji; Jing Guo; Ding Shi; Daiqiong Fang; Lanjuan Li
Journal:  Sci Rep       Date:  2016-09-30       Impact factor: 4.379

10.  Depletion of Blautia Species in the Microbiota of Obese Children Relates to Intestinal Inflammation and Metabolic Phenotype Worsening.

Authors:  Alfonso Benítez-Páez; Eva M Gómez Del Pugar; Inmaculada López-Almela; Ángela Moya-Pérez; Pilar Codoñer-Franch; Yolanda Sanz
Journal:  mSystems       Date:  2020-03-24       Impact factor: 6.496

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.