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Probiotic management and inflammatory factors as a novel treatment in cirrhosis: A systematic review and meta-analysis

  • Qinglan Xia , Yumeng Lei , Jiadun Wang and Qiang Wang EMAIL logo
Published/Copyright: October 17, 2023

Abstract

The interaction between intestinal microecological dysregulation, altered inflammatory factors, and cirrhosis is unclear. The aim of this systematic review and meta-analysis was to synthesize the results of previous studies to assess the efficacy of probiotics in the treatment of cirrhosis and their effect on inflammatory factors, as well as to explore the relationship between gut microecological dysregulation and liver disease to gain a deeper understanding of this interaction. Up to December 2022, eligible studies were identified by searching the following databases: National Knowledge Infrastructure (CNKI), Wanfang Data, Web of Science, PubMed, Embase, Medline, and the Cochrane Library. Statistical analysis was performed using software RevMan Version 5.4. A total of 33 eligible randomized controlled trials were included in the study, and data on probiotic strains, duration of intervention, measures in the control group, and outcomes were extracted and evaluated. Compared to the control group, the experimental group had significant improvements in overall efficacy. The results of the meta-analysis revealed that probiotic use significantly decreased biochemical parameters for liver function, including aspartate transaminase, alanine aminotransferase, and total bilirubin. Similar result was obtained in interleukin-6, tumor necrosis factor-α, and endotoxin. However, probiotic intervention did not significantly affect interleukin-2 and interleukin-10. The current meta-analysis illustrates that probiotic supplementation reduces inflammatory markers and biochemical parameters for liver function in patients with cirrhosis, suggesting that probiotic management may be a novel treatment for cirrhosis. Furthermore, the interaction of the gut microbiota, associated metabolites, and inflammation factors with cirrhosis may provide a promising therapeutic target for the pharmacological and clinical treatment of cirrhosis.

1 Introduction

Liver cirrhosis is widely prevalent and is associated with high morbidity and mortality. With roughly one million annual deaths attributable to the disease [1], it is the 11th most common cause of death worldwide [2]. Cirrhosis is the seventh leading cause of disability-associated life years in the 50–74 age group, the 12th top cause in people aged 25–49 years, and the 15th highest cause in all ages [3]. The most common etiologies of cirrhosis globally are non-alcoholic fatty liver disease, alcoholic liver disease, and chronic hepatitis B and chronic hepatitis C. Regardless of the cause, the complications of cirrhosis are similar, including hepatic encephalopathy (HE) [4]. Cirrhosis has put a strain on global public health; hence, efficient and safe treatment options are urgently needed.

The World Health Organization updated the definition of a probiotic: “live microorganisms which when administered in adequate amounts confer a health benefit on the host” [5]. Probiotics are part of the human microbial community, most of which are beneficial bacteria naturally present in the body. Different strains can be isolated from different parts of the body, including the gastrointestinal tract, mouth, skin, and uterus. Other bacterial genera such as Streptococcus, Enterococcus , Yeast , and Bacillus can also have probiotic properties [6]. While most parts of the body are colonized by microorganisms, the highest number of microorganisms are found in the gut. The most studied species include Lactobacillus and Bifidobacterium [7]. Lactobacillus and Bifidobacterium produce lactic acid, acetic acid, and propionic acid, which lower intestinal pH and inhibit the growth of various pathogenic bacteria, thereby reestablishing the balance of intestinal flora [8,9]. Probiotics have been well investigated in relation to numerous gastrointestinal disorders, leading to a growing consensus that probiotics, the gut microbiota, and both health and disease in the gut are strongly correlated [10,11].

Probiotics are one of the most commonly used food supplements in the health-care industry worldwide [12]. Since approximately 70% of the immune system is located in the intestine [13], it can be further concluded that probiotics typically provide two general benefits: supporting a healthy digestive tract and a healthy immune system. This conclusion was based on a great deal of reliable research, including clinical trials, meta-analyses as well as reviews, suggesting that probiotics can be expected to have effects on diverse disease conditions such as gastrointestinal disease [14,15,16,17], autoimmune disease [18,19,20], diabetes [21,22,23,24], hypertension and hyperlipidemia [25,26], as well as several kinds of liver disease [27,28,29,30]. Probiotics induce their effects primarily due to their role in immune system regulation and anti-inflammatory response [31]. Thus, probiotic administration seems to have a great potential in terms of health, and further research should be conducted. More and more attention has been paid to the health benefits of probiotics, which we believe to be potentially crucial interventions for improving health and well-being.

Probiotic research has rapidly expanded, inspiring scientists to create a wide range of functionally formulated products with validated health advantages. Probiotics, prebiotics, vitamins, and minerals are among the functional food ingredients that can be found in a variety of meals and beverages, including fermented milks, yogurts, and sports drinks [32,33,34]. Customers can benefit nutritionally from probiotics and fermented food, which also strengthen the immune system to fend off infections [35,36]. The demand for probiotic food is expanding quickly on a global scale. Today, 60 to 70 percent of the market for functional food is made up of probiotic products [5,37]. The effectiveness of probiotic is species-, dose-, and disease-specific, and with the selection of appropriate strains, products, and dosages, probiotics may be beneficial in achieving positive effects in different disease areas [38,39]. Probiotics are useful in treating irritable bowel syndrome and ulcerative colitis, according to solid research [40,41]. Importantly, there is strong information about the advantages of probiotics in the prevention and treatment of diarrhea brought on by antibiotic use and Clostridium difficile [42]. Notably, two probiotic medications, Lactasin and Pepcid (Bifidobacterium triplex capsules), have been recommended as typical therapeutic drugs for people with cirrhosis in China, which are suitable for patients who experience abdominal pain, bloating, and diarrhea.

The term “gut–liver axis” was first proposed in 1998 by Marshall [43]. The gut–liver axis refers to the bidirectional relationship between the gut and its microbiota, allowing for the direct transport of intestinal microbes or associated metabolites to the liver via the biliary tract, portal vein, and systemic circulation, where they affect numerous liver functions, as well as a liver-to-gut feedback pathway in which it controls metabolic function and influences microbiota homeostasis and intestinal barrier integrity [44]. Imbalance of the intestinal microbiota will lead to endotoxemia and inflammation, and in the portal circulation, these effects may directly trigger or exacerbate pre-existing liver damage through harmful metabolic consequences, leading step-by-step to hepatic steatosis, chronic hepatitis, fibrosis, and cirrhosis, and the progression of cirrhosis to hepatocellular carcinoma [45]. At present, it is generally believed that inflammation is also the major factor leading to the occurrence and development of liver injury. A great deal of studies on the gut–liver axis suggest that the gut microbiota and associated metabolites may initiate a cytokine cascade that contributes to the maintenance of a poor immune response [45,46]. The adverse inflammatory responses in the liver will release a substantial amount of various serum inflammatory markers, including tumor necrosis factor (TNF), interleukins (ILs), and other general immunity markers. These inflammatory factors may be potential targets for the clinical treatment and prognosis of cirrhosis.

Guidelines advocate lactulose to lower hospitalization and fatality rates in HE in addition to the most widely used microecological treatments in clinical practice today [47,48]. Lactulose can induce the release of immunoglobulin A (IgA) from the intestinal mucosal epithelial zone as a first-line treatment for HE. IgA promotes the growth of Bifidobacterium and Lactobacillus, reduces inflammatory factors, and enhances liver function. IgA can effectively resist microbial invasion by bacteria, viruses, fungi, and other microorganisms, which helps to improve biological resistance to diseases [49]. Adverse reactions such as diarrhea, nausea, and vomiting may occur after taking lactulose oral solution, whereas probiotics have fewer adverse reactions than lactulose because they are naturally present in the body itself.

For the treatment of liver diseases, traditional Chinese medicine (TCM) has a strong theoretical foundation and a wealth of practical experience. TCM has two functions in immunological regulation: immune activation and immune suppression. These functions include the stimulation of immune cells, immune organs, and cytokine synthesis as well as the inhibition of inflammation [50]. TCM has been linked to intestinal flora, cirrhosis, and liver disease in long-term theoretical and practical investigations. This association has a special therapeutic function in the development of CLD [51,52]. Dahuang, Huangqi, and Muxiang are a few specific TCM formulae that have been shown to have anti-hepatic fibrosis benefits in addition to improving endotoxemia, lowering serum inflammatory cytokine levels, and correcting intestinal microecology in cirrhotic patients [53]. Consequently, TCM is a promising therapeutic agent for liver illness, but because of its numerous medicinal components and broad range of targets, treatment is more ambiguous and challenging [53]. The modification of intestinal homeostasis, anticirrhotic activity, and efficacy against inflammatory factors have all been demonstrated for probiotics, lactulose, and herbs. Probiotics have the ability to directly colonize the digestive tract, whereas lactulose and certain specific TCM indirectly encourage the multiplication of beneficial bacteria through medicinal components, regulating the human body.

Several studies have reported the effects of different probiotic strains on host immune factors: Toll-like receptor 2 mediated by Lactobacillus lactis stimulates TNF-α secretion [54], IL-10, and TNF-α secretion stimulated by Bifidobacterium lognum [55]; sortase-dependent pili of Bifidobacterium bifidum evoke the TNF-α response [56]; cell-surface polysaccharides in Lactobacillus longum modulate pro-inflammatory cytokine and T helper cell 17 (TH17) responses [57]; and immunostimulatory cell surface appendages (known as SpaCBA) in Lactobacillus rhamnosus mediate the regulation of TNF-α, IL-6, IL-10, and IL-12 [58]. Various cellular components of gut barrier (GB) (e.g., TNF, interleukins, AMP, defensins, lysozyme) have specific roles in regulating intestinal homeostasis [59,60,61,62]. Ecological imbalance and GB dysfunction are directly related to the development, progression, and appearance of clinical events linked to hepatic and portal hypertension [63]. As a result of their direct interactions with immune cells, probiotics play a significant part in preserving the body’s immunological homeostasis [64]. Probiotics can enhance the body’s immunity by increasing natural killer cell activity and stimulating phagocytosis, inhibiting pro-inflammatory cytokines, and increasing immunoglobulin concentrations, and they have a positive effect on the expression of immune-related genes, inflammatory pathway activity, and the levels of immune markers, including intestinal epithelial cell nuclear factor kappa B, mitogen-activated protein kinase, CRP, IL-6, IL-8, TNF-α, IL-1β, and IFN-γ [65,66]. Clinical outcomes and survival in cirrhotic patients have been demonstrated to be enhanced by microbial manipulation using pre-/probiotics and fecal microbiota transplantation (FMT) [63].

The immunomodulatory activity of different probiotic strains has been well documented in in vivo, in vitro, and animal studies, and specific metabolites such as polyunsaturated fatty acids, polyphenols, flavonoids, and vitamins in probiotic bacteria help to stimulate the growth and survival of beneficial gut microbes [31,67,68]. Specific molecules produced by probiotics have also been shown to be active in their immunomodulatory and anti-inflammatory pleiotropic effects. In addition to inducing the generation of anti-inflammatory cytokines, several postbiotic fractions (supernatants, cell wall fragments) recovered from Bacillus coagulans cultures also encouraged adjuvant T(Th)2-dependent immune responses [69]. Additionally, multiple in vitro studies have demonstrated that supernatants from Bifidobacterium short-term cultures promote DC survival and maturation, which in turn boosts IL-10 secretion and reduces TNF-α secretion [70].

However, there are few meta-analyses on the effect of probiotic interventions on cirrhotic patients in China and abroad, and most of them focus only on the changes in liver function. To the best of our knowledge, no meta-analysis has simultaneously evaluated the effects of probiotic interventions on liver function indicators and a full range of cytokines in patients with cirrhosis and the interaction between changes in gut microbiota and inflammation markers in cirrhosis remains elusive. Therefore, we performed this systematic review and meta-analysis to provide a robust portfolio of evidence to identify and update the association of probiotics with cirrhosis and to explore the potential mechanistic actions and biological effects. We also discuss the results of the interaction of the intestinal microbiota, its related metabolites, and inflammatory factors with liver cirrhosis.

2 Methods

2.1 Protocol registration

The protocol for this systematic review and meta-analysis was registered in advance with PROSPERO (CRD42023386931). The process of systematic evaluation and meta-analysis was recorded in the PRISMA 2020 checklist (Table S1).

2.2 Search strategy

A total of 561 potentially eligible references were identified through electronic and manual searches. Relevant articles published from 2008 to 31 October 2022 with no restriction on English language were searched in the following electronic databases: CNKI, Wanfang Data, Web of Science, PubMed, Embase, Medline, and Cochrane Library. We used the following search strategy: ((((((Liver Cirrhosis[MeSH Terms]) OR (Hepatic Cirrhosis[Title/Abstract])) OR (Cirrhosis, Hepatic[Title/Abstract])) OR (Cirrhosis, Liver[Title/Abstract])) OR (Fibrosis, Liver[Title/Abstract])) OR (Liver Fibrosis[Title/Abstract])) AND ((((((Probiotics[MeSH Terms]) OR (Probiotic[Title/Abstract])) OR (Synbiotics[MeSH Terms])) OR (Synbiotic[Title/Abstract])) OR (Prebiotics[MeSH Terms])) OR (Prebiotic[Title/Abstract])). Moreover, bibliographies of all relevant prior reviews identified by the search strategy were scanned for a comprehensive literature search. Two researchers (Lei and Xia) screened the search outcomes to identify relevant studies for this systematic review and meta-analysis.

2.3 Inclusion and exclusion criteria

The inclusion criteria for selecting eligible studies were as follows: (1) studies provided a measure of inflammatory factors and/or liver function index, (2) studies involved patients with a definite diagnosis of cirrhosis, and (3) study had to be a randomized controlled trial (RCT) comparing the use of probiotics with a placebo or no intervention.

The exclusion criteria were as follows: (1) studies were literature reviews, animal experiments, no control trials, non-RCTs, low-quality literature, and case reports; and (2) patients had the antibiotic before their measurements.

2.4 Data extraction

Data extraction from eligible literature was performed by two investigators (Lei and Xia) following the guidelines laid out in the QUOROM statement [71]. All data were integrated into a standard form and cross-checked independently by two reviewers; in the event of any disagreement, the disputes shall be submitted to a third reviewer for assistance in arbitration. Data related to the following variables were extracted from each targeted study: (1) the last name of first author and year of publication; (2) sample size and duration of study; (3) participants’ baseline information such as gender and age; (4) composition and dose of supplements for the experimental group – the experimental group is based on the control group with the addition of microecological preparations (e.g., Bifidobacterium triplex capsules, Bifidobacterium quadruplex tablets); and (5) treatment of the control group – the control group is usually treated with conventional treatment of cirrhosis (e.g., hepatic protection, diuretic, anti-infective treatment, timely replenishment of albumin and plasma, and symptomatic treatment of patients).

2.5 Statistical analysis

Statistical analysis of data was performed using software RevMan Version 5.4 (The Cochrane Collaboration, Copenhagen, Denmark). For dichotomous variables, the rate difference (RD) and its 95% confidence interval (95% CI) were chosen as effect sizes; for continuous variables, the weighted mean difference was used if the measurement units were consistent, and the standardized mean difference and its 95% CI were used as effect sizes if the measurement units were inconsistent. The chi-squared test was used to assess the presence of statistical heterogeneity, and the I 2 test was used to evaluate the magnitude of heterogeneity. If there was no statistical heterogeneity among the results of the studies (P ≥ 0.05 and I 2 ≤ 50%), a fixed-effects model was used for meta-analysis; if the heterogeneity was large (P < 0.05 and I 2 > 50%), a random-effects model was used and the possible causes were analyzed, and meta-analysis was considered with subgroup analysis and sensitivity analysis. The methodological quality of the included studies was evaluated using the risk of bias assessment tool for RCTs recommended by the Cochrane Handbook for Systematic Reviews of Interventions 6.3, and publication bias was analyzed using a funnel plot (Figures S1–S9). A P-value of <0.05 was considered a statistically significant difference.

2.6 Risk of bias (quality) assessment

Jadad score was used to assess bias of included studies (Figures 1 and 2), based on the following parameters: random sequence generation, allocation concealment, blinding of participants and personnel, incomplete outcome data, selective reporting, and other bias. Two researchers independently evaluated each article that fulfilled the eligibility criteria and resolved disagreements by consensus or by referring to a third investigator.

Figure 1 
                  Risk of bias summary: review authors’ judgments about each risk of bias item for each included study.
Figure 1

Risk of bias summary: review authors’ judgments about each risk of bias item for each included study.

Figure 2 
                  Risk of bias graph: review authors’ judgments about each risk of bias item presented as percentages across all included studies.
Figure 2

Risk of bias graph: review authors’ judgments about each risk of bias item presented as percentages across all included studies.

3 Results

3.1 Study selection

Figure 3 shows a flow chart for study selection. Among the 1,754 articles identified by the search strategy in the databases, 494 were excluded because of duplication. Title and abstract screening resulted in 548 irrelevant articles removed. The full texts of the remaining 712 articles were reviewed with respect to the study selection criteria, and this process disqualified 679 articles. Eventually, a total of 33 studies were included in this systematic review and meta-analysis.

Figure 3 
                  Flow diagram of the study selection procedure.
Figure 3

Flow diagram of the study selection procedure.

3.2 Study characteristics

A detailed description of the characteristics (author, year, sample size, age, sex, intervention, duration of trial, main outcomes, and Jaded score) of the 33 eligible studies is summarized in Table 1. We selected 33 RCTs for our final analysis. The control group included 1,367 participants, whereas the experimental group included 1,045 participants. In the literature with relevant data, there were no statistically significant differences between the two groups in terms of age and gender. The trial durations ranged from 1 to 48 weeks. The included studies were published between 2008 and 2022, with sample sizes ranging from 20 to 298.

Table 1

Main characteristics of studies included in the systematic review and meta-analysis (n = 33)

Study Participants Age (mean ± SD) Male/female Intervention Duration of trail (in weeks) Outcome Jadad score
Experimental Control Experimental Control
Bajaj et al. (2008) [142] 14 6 E: 52 ± 8 Yogurt with L. bulgaricus and S. thermophilus Placebo 8 Ammonia, IL-6, TNF-α 5
C: 54 ± 4
Pereg et al. (2011) [143] 18 18 E: 63.2 ± 10.5 Lactobacillus acidophilus, L. bulgaricus, B. bifidum, and Streptococcus thermophiles Placebo (non-fermentable fibers) 24 Albumin, AST, ALT, ammonia, INR 6
C: 65.9 ± 8.4
Bajaj et al. (2014) [118] 14 16 E: 58.4 ± 3.8 E: 10/4 Lactobacillus GG Placebo 8 INR, bilirubin, ammonia, albumin, endotoxin, TNF-α, IL-6, IL-2, IL-1β, IL-10, IL-17 5
C: 58.5 ± 4.5 C: 12/4
Han et al. (2015) [144] 60 57 52.7 ± 11.3 75/42 Lactobacillus subtilis and Streptococcus faecium + conventional therapy Conventional therapy 1 Total protein, albumin, AST, ALT, ALP, yGT, TB, cholesterol, PT 6
Malaguarnera et al. (2011) [145] 34 32 E: 46.9 ± 5.4 E: 18/16 Bifidobacterium longum + conventional therapy and ofloxacin Conventional therapy and ofloxacin 24 ALT, AST, bilirubin, albumin, TNF-α 6
C: 46.7 ± 5.7 C: 15/17
Feng et al. (2010) [146] 13 9 E: 57 ± 12 E: 10/3 B. bifidum, L. acidophilus, and E. faecalis + conventional therapy Conventional therapy 12 Endotoxin, IL-2, IL-6, TNF-α 4
C: 53 ± 11 C: 7/2
Huang et al. (2010) [147] 15 15 Clostridium butyricum + conventional therapy and ofloxacin Conventional therapy and ofloxacin 2 Endotoxin, TNF-α, IL-6, PAF 4
Pan and Huang (2011) [148] 34 32 E: 53 ± 7 E: 20/14 B. bifidum, L. acidophilus, and E. faecalis + conventional therapy Conventional therapy 4 Endotoxin, ALT, AST, IL-2, IL-6, TNF-α 4
C: 52 ± 7 C: 18/14
Wang et al. (2012) [149] 30 30 B. bifidum, L. acidophilus, E. faecalis, and Bacillus cereus + conventional therapy Conventional therapy 4 IL-1α, IL-6, TNF-α 4
Wang and Li (2013) [150] 32 24 E: 47 ± 8 E: 19/13 Bacillus subtilis and E. faecium + antiviral treatment Antiviral treatment 4 Endotoxin, TNF-α 4
C: 48 ± 4 C: 16/8
Lu (2014) [151] 17 18 B. subtilis and E. faecium + conventional therapy Conventional therapy 4 Endotoxin, TNF-α 3
Ye and Xiang (2014) [152] 42 42 E: 68.5 ± 7.1 E: 23/19 B. bifidum, L. acidophilus, and E. faecalis + conventional therapy Conventional therapy 4 hs-CRP, TNF-α, efficacy 3
C: 69.0 ± 7.3 C: 25/17
Zheng et al. (2014) [153] 45 40 45.2 ± 13.5 62/23 B. bifidum, L. acidophilus, E. faecalis, and cephalosporin + conventional therapy cephalosporin combined with quinolone Conventional therapy cephalosporin combined with quinolone 2 ALT, AST, albumin, PTA, endotoxin, TNF-α, IL-2, IL-6, IL-10, efficacy 4
Hao et al. (2014) [154] 32 31 E: 41.6 ± 6.8 E: 18/14 B. bifidum, L. acidophilus, and E. faecalis + conventional therapy Conventional therapy 12 Endotoxin, TNF-α, IL-6 4
C: 42.3 ± 5.4 C: 16/16
Zhang (2016) [155] 52 52 E: 40.7 ± 8.5 E: 33/19 B. bifidum, L. acidophilus, and E. faecalis + antiviral treatment Antiviral treatment 24 HBV DNA, ALT, AST, albumin, TBIL, efficacy 4
C: 40.8 ± 9.1 C: 34/18
Jiang and Xie (2016) [156] 32 32 E: 54.4 ± 7.12 E: 21/11 B. bifidum, L. acidophilus, and E. faecalis + Conventional therapy Conventional therapy 2 DAO, ammonia, endotoxin, ALT, AST, TBIL, albumin, PT 4
C: 58.2 ± 7.12 C: 24/8
Li et al. (2017) [157] 40 40 E: 35.8 ± 4.8 E: 18/22 L. acidophilus, E. faecalis, B. subtilis + Fluoroquinolone Fluoroquinolone 48 TNF-α, IL-6, ALT, AST, AKP, GGT, albumin, efficacy 4
C: 36.5 ± 3.5 C: 17/23
Han and Bai (2017) [158] 49 49 B. bifidum, L. acidophilus, and E. faecalis + conventional therapy Conventional therapy 2 TNF-α, IL-6, IL-10, endotoxin, AST ALT albumin, efficacy 3
Zheng et al. (2018) [159] 100 100 E: 47.28 ± 7.24 E: 63/37 B. bifidum, L. acidophilus, and E. faecalis + Conventional therapy Conventional therapy 2 AST, ALT, albumin, TNF-α, IL-2, IL-6, IL-10, efficacy 4
C: 46.38 ± 7.04 C: 60/40
Yue and Fang (2018) [160] 40 40 E: 52.11 ± 9.43 E: 23/17 B. bifidum, L. acidophilus, E. faecalis, and B. cereus + Conventional therapy Conventional therapy 8 ALT, AST, albumin, PCT, endotoxin 4
C: 53.12 ± 10.45 C: 22/18
Zeng et al. (2018) [161] 80 80 E: 45.06 ± 6.72 E: 41/39 B. bifidum, L. acidophilus, and E. faecalis + Conventional therapy Conventional therapy 24 ALT, AST, TBIL, ammonia, endotoxin 4
C: 43.62 ± 6.29 C: 45/35
Liang and Chen (2018) [162] 28 28 E: 44.2 ± 6.2 E: 17/11 B. bifidum, L. acidophilus, E. faecalis, and B. cereus + Conventional therapy Conventional therapy 24 AST, ALT, TBIL 4
C: 44.3 ± 6.5 C: 15/13
Wang and Wu (2019) [163] 149 149 E: 50.93 ± 4.26 E: 103/46 B. bifidum, L. acidophilus, E. faecalis + Conventional therapy and entecavir Conventional therapy and entecavir 12 TBIL, ALT, AST, LPS, TNF-α 4
C: 51.62 ± 3.97 C: 98/51
Li et al. (2019) [164] 57 57 E: 69.54 ± 3.31 E: 37/20 B. bifidum, L. acidophilus, E. faecalis + lamivudine and adefovir dipivoxil Lamivudine and adefovir dipivoxil 24 ALT, AST, TBIL 4
C: 69.79 ± 3.47 C: 35/22
Duan (2019) [165] 42 42 E: 45.24 ± 7.38 E: 26/16 B. bifidum, L. acidophilus, and E. faecalis + Antiviral treatment Antiviral treatment 24 ALT, AST, TBIL 4
C: 46.17 ± 6.59 C: 24/18
Bian et al. (2019) [166] 45 45 E: 57.12 ± 4.02 E: 26/19 B. bifidum, L. acidophilus, and E. faecalis + Conventional therapy Conventional therapy 2 ALT, AST, TBIL, IL-10, TNF-α, endotoxin 4
C: 56.98 ± 4.01 C: 24/21
Zhao and Zhao (2020) [167] 49 49 E: 48.07 ± 6.98 E: 33/16 B. bifidum, L. acidophilus, E. faecalis, and B. cereus + Conventional therapy Conventional therapy 1 IL-6, IL-8, TNF-α 4
C: 47.33 ± 6.85 C: 30/19
Liu and Li (2021) [168] 30 30 E: 53.5 ± 11.7 E: 18/12 Bacillus licheniformis + Conventional therapy Conventional therapy 4 IL-2, IL-6, TNF-α, TBIL, ALT, AST 4
C: 52.3 ± 12.1 C: 16/14
Wu et al. (2021) [169] 50 50 E: 44.32 ± 6.5 E: 31/19 B. bifidum, L. acidophilus, and E. faecalis + Conventional therapy Conventional therapy 2 ALT, AST, TBIL, IL-10, TNF-α, endotoxin 4
C: 43.63 ± 6.82 C: 32/18
Zhu et al. (2022) [170] 35 35 E: 55.63 ± 2.38 E: 21/14 B. bifidum, L. acidophilus, E. faecalis, and B. cereus + Conventional therapy Conventional therapy 2 Efficacy, AST, ALT, TBIL 5
C: 55.47 ± 2.16 C: 20/15
Li et al. (2022) [171] 50 54 51.82 ± 12.46 Yogurt with B. bifidum, L. rhamnosus, L. acidophilus, L. bulgaricus, and S. thermophilus + Conventional therapy Conventional therapy 3 IL-1β, IL-6, TNF-α, ALT, AST, GGT, ALP 4
Zhu et al. (2022) [172] 42 30 E: 46.12 ± 3.6 E: 20/22 B. subtilis, E. faecium + Conventional therapy Conventional therapy 4 Efficacy, AST, ALT, TBIL, albumin 3
C: 46.41 ± 3.55 C: 14/16
Wang and Jin (2022) [173] 35 35 52.38 ± 8.19 39/31 B. bifidum, L. acidophilus, E. faecalis, and B. cereus + Conventional therapy Conventional therapy 2 Efficacy, TBIL, ALT, AST, endotoxin 4

3.3 Main outcomes

3.3.1 Efficacy

A total of eight studies reported efficacy, defining significant and effective as “effective.” The homogeneity among the studies was good (P = 0.11, I 2 = 40%); thus, the fixed-effects model was used. The forest plot showed that the total clinical effective rate of the treatment group was superior to that of the control group, indicating that the probiotic intervention could improve the total clinical efficiency of patients with cirrhosis to some extent (Figure 4: RD = 0.15, 95% CI = 0.11–0.20, P < 0.00001).

Figure 4 
                     Forest plot of efficacy of probiotics intervention in cirrhosis (fixed-effects model).
Figure 4

Forest plot of efficacy of probiotics intervention in cirrhosis (fixed-effects model).

3.3.2 Aspartate transaminase (AST)

A total of 22 studies reported the change of AST level, including 2,106 participants. A pooled analysis using the random-effects model showed large statistical differences between the studies (P < 0.001, I 2 = 84%), so the sensitivity analysis was performed, and heterogeneity decreased after exclusion of Zhu (2022). The forest plot proved that the level of AST was significantly lower in the treatment group (Figure 5: mean deviation (MD) = −8.77, 95% CI = −10.50 to −7.04, P < 0.00001), indicating that probiotics supplement was effective in reducing AST in patients with cirrhosis. Further subgroup analysis by duration of trail showed that the homogeneity was best at 1–2 weeks of treatment (P = 0.39, I 2 = 5%).

Figure 5 
                     Forest plot of AST between experimental group and control group and subgroup analysis by duration of trail (random-effects model).
Figure 5

Forest plot of AST between experimental group and control group and subgroup analysis by duration of trail (random-effects model).

3.3.3 ALT

From 23 RCTs reporting on ALT, 1,664 participants were included. In the pooled analysis of studies, a significant effect of probiotic on ALT reduction (Figure 6: MD = −9.13, 95% CI = −10.09 to −8.18, P < 0.00001) was observed with a heterogeneity of 84% (P < 0.001). After the sensitivity analysis was performed, four articles, namely, Jiang (2016), Wang (2019), Yue (2018), and Zhu F (2022) were excluded, and the homogeneity among the study groups was good (P = 0.50, I 2 = 0%).

Figure 6 
                     Forest plot of ALT between experimental group and control group (random-effects model).
Figure 6

Forest plot of ALT between experimental group and control group (random-effects model).

3.3.4 IL-6

In the 14 RCTs reporting IL-6, 1,016 participants were included. A random-effects meta-analysis of these studies revealed that probiotics decreased IL-6 (Figure 7: MD = −6.12, 95% CI = −9.70 to −2.54, P < 0.001) with a heterogeneity of 96% (P < 0.00001). Sensitivity analysis and subgroup analysis were performed, and no source of heterogeneity could be found.

Figure 7 
                     Forest plot of IL-6 between experimental group and control group (random-effects model).
Figure 7

Forest plot of IL-6 between experimental group and control group (random-effects model).

3.3.5 TNF-α

A total of 21 studies reporting the mean change in TNF-α, including 1,745 participants. A random-effects model was used for pooled analysis, and the results demonstrated that the TNF-α levels of patients in the experimental group were lower than those in the control group (Figure 8: MD = −7.76, 95% CI = −10.26 to −5.26, P < 0.00001), with a heterogeneity of 98% (P < 0.00001). Sensitivity analysis and subgroup analysis were performed, and no source of heterogeneity could be found.

Figure 8 
                     Forest plot of TNF-α between experimental group and control group (random-effects model).
Figure 8

Forest plot of TNF-α between experimental group and control group (random-effects model).

3.3.6 Total bilirubin (TBIL)

In the 13 RCTs reporting TBIL, 1,367 participants were included. A random-effects meta-analysis of these studies illustrated that probiotics decreased TBIL (Figure 9: MD = −6.35, 95% CI = −8.21 to −4.49, P < 0.00001) with a heterogeneity of 84% (P < 0.00001). Sensitivity analysis and subgroup analysis were performed, and no source of heterogeneity could be found.

Figure 9 
                     Forest plot of TBIL between experimental group and control group (random-effects model).
Figure 9

Forest plot of TBIL between experimental group and control group (random-effects model).

3.3.7 Endotoxin

Endotoxin was evaluated in 15 RCTs, and 766 participants were included. In the pooled analysis of studies, a significant effect of probiotic on endotoxin reduction (Figure 10: MD = −0.19, 95% CI = −0.25 to −0.12, P < 0.00001) was observed with a heterogeneity of 99% (P < 0.00001). Sensitivity analysis and subgroup analysis were performed, and no source of heterogeneity could be found.

Figure 10 
                     Forest plot of endotoxin between experimental group and control group (random-effects model).
Figure 10

Forest plot of endotoxin between experimental group and control group (random-effects model).

3.3.8 IL-2

In the six RCTs reporting IL-2, 463 participants were included. In the pooled analysis, no significant change in IL-2 (Figure 11: MD = 2.95, 95% CI = −1.40 to 7.30, P = 0.18) was observed with a heterogeneity of 92% (P < 0.00001).

Figure 11 
                     Forest plot of IL-2 between experimental group and control group (random-effects model).
Figure 11

Forest plot of IL-2 between experimental group and control group (random-effects model).

3.3.9 IL-10

Six RCTs measured IL-10, including 629 participants. In the pooled analysis, no significant effect of probiotic on IL-10 (Figure 12: MD = −0.61, 95% CI = −5.63 to 4.41, P = 0.81) was observed with a heterogeneity of 98% (P < 0.00001).

Figure 12 
                     Forest plot of IL-10 between experimental group and control group (random-effects model).
Figure 12

Forest plot of IL-10 between experimental group and control group (random-effects model).

4 Discussion

Cirrhosis is the common end-stage pathological pathway of liver damage arising from a multitude of chronic liver diseases [72], but its potential mechanisms are far from being elucidated. Cirrhosis develops after a prolonged period of inflammation, leading to the replacement of healthy liver parenchyma with regenerative nodules and fibrotic tissue, resulting in portal hypertension. Numerous types of cells, cytokines, and miRNAs might be involved in the initiation and development of cirrhosis.

This study suggests that cirrhosis may interact with microbiota, related metabolites, and inflammatory factors. Furthermore, this study evaluated the efficacy of probiotic therapy in improving liver function and immunity in patients with cirrhosis. As the largest, most complex and most important microecosystem in the human body, the intestinal microecosystem is known as the second human genome. More than 90% of healthy adults have an intestinal microbiota composed of four major components: Bacteroidetes , Firmicutes , Proteobacteria , and Actinobacteria [73]. By contrast, the diversity and proportion of intestinal microorganisms in patients with cirrhosis are different from those in healthy individuals.

A growing amount of recent evidence has elaborated on the altered composition of the gut microbiota in patients with cirrhosis, which is mainly characterized by a shortage of autochthonous non-pathogenic bacteria and an enrichment of potentially pathogenic bacteria [74]. We compiled the relevant literature and found that the intestinal microbiota of patients with cirrhosis contained more Enterobacteriaceae , Streptococcaceae , Fusobacteria , Proteobacteria , Streptococcus, and Veillonella and less Bifidobacteria , Lachnospiraceae , Bacteroidetes, and Firmicutes compared to controls [75,76,77,78,79]. Notably, in order to further explore microbial genes associated with cirrhosis, Qin et al. conducted a large-scale RCT on the macrogenomic characterization of intestinal bioactive metabolites and intestinal microbiota in patients with cirrhosis, bringing new insights from next-generation sequencing [79]. The intestinal microbiota contributes to HE, one of the most devastating and clinically challenging sequelae of cirrhosis, as determined by the analysis of enriched modular microbial function in 98 patients and 83 healthy control individuals.

The concept of “gut–liver axis” was brought up to highlight the close functional and anatomical relationship between two organs. The liver is located near the intestine and is supplied with 75% of its blood by the portal vein. The portal venous flow not only supplies the liver with nutrients but also carries an extremely metabolic microbiota of gastrointestinal origin that provides the liver with broad-spectrum antigens. Most of these are commensal products and harmless dietary factors, but translocated pathogens or bacterial-derived factors also enter the liver continuously via the enterohepatic circulation. Under normal circumstances, a handful of bacteria or bacterial metabolites enter the liver, most of which are eliminated by macrophages in the liver (Kupffer cells), with little or no activation. However, in intestinal microecological dysregulation, the intestinal mucosal barrier is damaged due to inflammation or portal hypertension, and increased intestinal permeability leads to increased pathological bacterial migration [80,81]. A multitude of bacteria could thus enter the liver and activate hepatic stellate cells (HSCs) and Kupffer cells. Once these cells are activated, large amounts of pro-inflammatory cytokines are released and involved in liver injury. Increased intestinal permeability of bacteria and their metabolites, known as “leaky gut,” is pervasive in cirrhosis and is a pivotal pathogenic factor leading to major complications [82]. Overall, the liver may be immensely affected by the composition and abundance of intestinal microorganisms, primarily through the receipt of metabolites from microbes (Figure 13).

Figure 13 
               Schematic diagram of the gut–liver axis. Abbreviations: microbial-associated molecular patterns (MAMPs), pathogen-associated molecular patterns (PAMPs), short-chain fatty acids (SCFAs), lipopolysaccharides (LPS), and bile acids (BAs). Three projects that play a prominent role in the relationship between intestinal microbiota and various forms of liver injury are summarized in this study: endotoxin, SCFAs, and BAs [83].
Figure 13

Schematic diagram of the gut–liver axis. Abbreviations: microbial-associated molecular patterns (MAMPs), pathogen-associated molecular patterns (PAMPs), short-chain fatty acids (SCFAs), lipopolysaccharides (LPS), and bile acids (BAs). Three projects that play a prominent role in the relationship between intestinal microbiota and various forms of liver injury are summarized in this study: endotoxin, SCFAs, and BAs [83].

Bacterial translocation (BT) is defined as the passage of viable bacteria from the intestinal lumen through the mesenteric lymph nodes and other sites [83]. There are at least three mechanisms that have an impact on the pathogenesis of BT: increased intestinal permeability, intestinal bacterial overgrowth, and immune alterations in cirrhosis [84]. The concept of BT was later extended to microbial products, including bacterial DNA, peptidoglycans, and endotoxins [85]. MAMPs of intestinal origin, particularly PAMPs, may elicit or exacerbate innate immune responses in the liver. MAMPs are the basic structures of microorganisms, both pathogenic and non-pathogenic. PAMP includes microbial molecular structures, such as gram-negative-associated LPS.

Endotoxins and LPS are active metabolites of gram-negative bacterial envelope components and pathogenic bacterial derivatives and significantly increase (mainly through the activation of the Toll-like receptor [TLR]4 signaling pathway) the synthesis of a range of inflammatory factors, particularly ILs and TNF-α. Inflammatory cells such as mononuclear macrophages, neutrophils, and lymphocytes release proteases, other enzymes, and reactive oxygen metabolites, contributing to the pathological progression of liver injury. Some hepatic non-immune cells, including endothelial cells and HSC, also have TLRs on their surface that recognize bacterial-specific structural components and subsequently release substantial cytokines such as IL-1, IL-6, and TNF-α, further promoting fibrosis and liver inflammation.

The microbiota produces many metabolites, such as SCFAs and BAs, and these key gut microbial-derived metabolites also continue to shape host immunity and metabolism and are critical in liver injury.

SCFAs serve as an additional source of energy, accounting for 3–9% of our daily caloric intake [86]. SCFAs also have a multitude of functions, from immunomodulation and metabolism to mucosal protection, and therefore have direct and indirect effects on our systemic well-being [87]. Wang et al. implemented in vivo and in vitro experiments and confirmed that inulin ameliorates inflammation through M1 inhibition and promotion of M2 Mψ induced by SCFAs, which may contribute to the control of liver disease [88]. Profound changes have taken place in the intestinal microbiota of patients with cirrhosis of liver, along with changes in the content of SCFAs. A controlled study demonstrated the functional impact of disturbances in gut microbiota diversity on the production of SCFAs, with significantly lower SCFAs concentrations in cirrhotic patients than in healthy controls, including propionate, butyric acid, and acetic acid, according to functional and differential classification analyses [89].

One of the possible mechanisms of intestinal ecological dysregulation in patients with cirrhosis is related to the reduced secretion of BAs. BAs are signaling molecules that activate specific nuclear farnesoid X receptors (FXRs) in the intestine and activate various signaling pathways by binding to FXR in intestinal epithelial cells and hepatocytes [90]. Approximately 95% of BAs are reabsorbed in the terminal ileum and transported back to the liver via the enterohepatic circulation [91]. However, a small percentage of BAs reach the colon and are converted by the intestinal microbiota into secondary BAs, which regulate various metabolic processes in the liver, such as glucose, triglyceride, cholesterol metabolism as well as inflammatory responses [92,93].

A recent study conducted an extensive analysis of neutrophil function and serum BA composition in a large number of patients with cirrhosis and found that the therapeutic modulation of serum BAs spectrum to “healthy” compositions can restore impaired neutrophil function in patients with cirrhosis, which in turn can reduce bacterial infection and related morbidity and mortality in cirrhosis [94]. This investigator also proposed that BAs’ spectrum regulation could be achieved by targeting the gut microbiome involved in BA metabolism. In addition, except for being a metabolism regulator and a nutrition supply source, bile acid also has an antibacterial function. BAs exert both direct antimicrobial properties and indirect negative selective pressure on intestinal bacteria through FXR activation in the small intestine, which induces antimicrobial peptide synthesis, and FXR agonists reduce BT through the portal pathway to the liver in cirrhosis [92,95].

The gut–liver axis in hepatitis B virus (HBV) and hepatitis C virus (HCV) infections has received much attention recently, and the close association between alterations in the intestinal microbiota and HBV- and HCV-associated complications, such as fibrosis and cirrhosis, is supported by in vivo and in vitro studies [96,97,98]. Probiotics have an antiviral activity against HBV and HCV infections, and numerous studies have reported mechanisms by which probiotics reduce liver disease by mediating antagonism against HBV and HCV [99]. Lee et al. demonstrated the antiviral activity of Bifidobacterium adolescentis SPM0212 against HBV and that probiotic cellular extracts inhibited the replication of HBV viruses by up-regulating the activation of the MxA protein by STAT1 [100]; El-Adawi et al. showed that treatment with probiotic medium extracts significantly reduced HCV viral load and HepG2 cell death; probiotic supplementation attenuated thioacetamide-induced liver cirrhosis in rats by inhibiting the expression of TLR4, CXCL9, and PREX-2 [101]. Recent studies have also suggested that probiotic-adjuvant therapy reduces the risk of further progression to HCC in cirrhotic patients treated with HBC antiviral drugs [102].

In order to assess the in vitro resistance of common market probiotics to clinically used antibiotics, Feng et al. isolated and cultured 20 strains of probiotics from nine probiotic preparations and subsequently determined the minimum inhibitory concentration (MIC) of probiotics against 16 antibiotics using the concentration gradient test strip method (E-test) [103]. The results showed that the bacterial probiotics were sensitive to some oral antibiotics – among which, Bacillus subtilis, Lactobacillus bulgaricus , Bifidobacterium longum , Bifidobacterium infantis, and Streptococcus thermophilus were sensitive to more than 12 antibiotics, Enterococcus faecalis was sensitive to only 5 antibiotics, and fungal probiotic bacteria, such as Saccharomyces boulardii CNCMI-45, were resistant to all 16 antibiotics. In the clinical prevention and treatment of antibiotic-associated diseases, attention should be paid to the rational use of probiotics and antibiotics, which can increase the dose of probiotics or stagger the time of medication, preferably at intervals of more than 2–3 h, and does not affect the efficacy of the drug [104].

On the other hand, probiotics can be used in antibiotic therapy in order to reduce the risk of drug-related adverse effects (such as diarrhea) and preserve the clinic’s gut flora [105]. Specific probiotic therapy not only increases the likelihood of eradication but also lessens the negative effects brought on by antibiotic treatment [106]. Potential benefits of using probiotics to treat a variety of diseases include their relatively low cost and the fact that they do not increase the incidence of antibiotic resistance [107,108,109]. Probiotic supplementation therapy has been scientifically demonstrated to increase the effectiveness of antibiotics and preserve host gut flora, and experts hypothesize that adding probiotics to antibiotic therapy may be helpful on top of what is already being done [110]. Therefore, due to the widespread nature of antibiotic resistance and the variety of public health issues it creates, the focused use of minimal side effect drugs, such as probiotics, is particularly crucial [111].

Concerns about the safety of probiotics currently center on [112,113]: can the strains used cause potential infections? Can they carry and transmit drug resistance? Is there regulatory confusion about probiotic products on the market? Can harmful metabolites be produced? The majority of probiotic species, such as Lactobacillus, Bifidobacterium, Lactococcus , and Yeasts , fall within the “Generally Recognized as Safe” (GRAS) category [114]. Identification of the origin, antibiotic resistance, purity, potency (amount of live microorganisms given), and final product composition of the strains are among the safety concerns connected with the manufacture of probiotic goods. In order to identify any contaminants, probiotic goods must also be appropriately tested for their intended purpose and shown to be pathogen-free [115]. Numerous extensive systematic studies that looked at hundreds of probiotic trials came to the conclusion that safety problems and adverse events are infrequently documented [116,117]. Probiotics are generally regarded as safe, but caution is advised when using them in immunologically vulnerable populations. Non-industry-sponsored, independent, high-quality, multicenter controlled trials are also required to evaluate the effectiveness and side effects of probiotics in at-risk populations, ideally in conjunction with regulatory agency assessments.

The preceding discussion of this study elucidates the role of the gut microbiota, associated metabolites, and cytokines in the pathophysiology of hepatocyte injury. The results of our meta-analysis showed that the regulation of gut microbiome using probiotics was able to improve the total clinical efficiency of cirrhosis and reduce most of the inflammatory factor indicators. Overall, the enterohepatic circulation, the gut microbiota, and the immune system must establish complex interactions to maintain homeostasis, a disturbance of which can lead to increased intestinal permeability and result in liver disease. It is hoped that this evidence will provide new insights for future research and development of drugs designed to prevent further hepatocyte damage and delay the progression of cirrhosis to hepatocellular carcinoma.

Despite the extensive literature review and rigorous robustness checks, this study comes with a few limitations. First, the heterogeneity of some of the metrics in this meta-analysis is very high, including IL-6, TNF-α, and TBIL. Despite subgroup and sensitivity analyses, unfortunately, the source of heterogeneity could not be found. In view of the inconsistent timeline of the included research and the fact that the participants were from distinct countries and ethnicities, this heterogeneity may be a result of vast individual differences, and therefore, the results in this study for IL-6, TNF-α, and TBIL should be referenced with caution. Second, due to the paucity of relevant literature reporting IL-2 and IL-10, only six studies were included in the analysis of each of these two indicators, and the meta-analysis showed no statistically significant difference. Insufficient attention has been paid to IL-2 and IL-10 in the field of cirrhosis, which indicate potential avenues for further research.

Probiotics not only improve gastrointestinal disorders, but are also beneficial for cirrhosis, as reported in many studies in the literature and confirmed by this meta-analysis [95,118,119,120]. Studies have been conducted to summarize the changes in the gut microbiome of patients with liver disease and discuss the potential role of probiotics in the management of liver disease [83,121]. Alterations in host immune response, host–microbiota metabolism, and intestinal permeability work together in the pathogenesis of cirrhosis, and microbially targeted therapies should focus on increasing potential beneficial taxa and reducing potential harmful taxa.

FMT may shed some light on cirrhosis treatment. As a research hotspot in biomedical and clinical medicine in recent years, FMT is currently the most effective gut microbiota intervention and also an acknowledged treatment for recurrent and refractory Clostridium difficile infection (CDI) [122]. This treatment option has received considerable attention since 2013, and as the clinical response of FMT to substantial diseases has been studied in depth [123], its application has been expanded to include not only gastrointestinal diseases (inflammatory bowel diseases, irritable bowel syndrome, CDI) [124,125,126,127,128], but also extra-gastrointestinal disorders (neurological disorders, diabetes, obesity, HE, metabolic disorders, cancer) [129,130,131,132,133,134]. In two noteworthy RCTs on HE, researchers drew the conclusion that FMT treatment is safe and well tolerated in patients with cirrhosis and that it reduces recurrent hospitalizations and improves ecological dysregulation [135,136].

Although the functions and contributions of probiotics in the pathogenesis and complications of cirrhosis remain to be elucidated, these findings could help develop new therapeutic strategies for cirrhosis by focusing on the gut microbiota. Future research should focus on the development of new bioengineering technology-based therapies for cirrhosis that are more efficient and specific [137]: to illustrate, first, the development of artificial compounds that adsorb or modulate specific intestinal microbiota and their metabolites; second, the use of targeted individual microbiota to replace fecal transplants; and finally, the use of engineered microbiota capable of producing anti-inflammatory or antioxidant molecules as an alternative to antibiotics. Notably, it is important that an individualized approach be developed based on the patient’s baseline bowel pattern, biomarkers of response, and other patient factors, with attention to clinically relevant primary outcomes. Further research in this area should delve into personalized approaches, rigorous experimental design, and microbiome treatment selection [133].

The field of liver disease still needs further work on microbial therapies for cirrhosis, including cross-sectional large-scale cohort studies and longitudinal in-depth mechanistic studies to determine the optimal dosing regimen, ideal donor characteristics, duration of efficacy, and benefits and side effects of probiotics. Demographic characteristics and disease-related factors also need to be controlled and taken into account in the interpretation to ensure patient benefits without negative effects on the body [138].

5 Conclusions

Albeit there is no effective radical cure for cirrhosis, the results of this systematic review and meta-analysis show that the emerging networks of probiotic interventions, gut microbiota, and inflammatory factors currently prove to be possibly profitable therapeutic targets. The use of probiotics in cirrhosis not only reduced liver transaminase levels but also appeared to improve inflammation and decrease pro-inflammatory markers. Previously published systematic reviews and meta-analyses of the same kind also point to a beneficial effect of probiotic/prebiotic use on liver injury [139,140,141]. Probiotics are relatively safe and well tolerated, which makes them advantageous over other treatment regimens for long periods of time. In the future, microbial therapy may become a potential method and component in the treatment of cirrhosis. Further in vitro validation experiments are needed to better understand the mechanism of probiotics in the treatment of cirrhosis. Meanwhile, large-scale population RCTs with homogeneous preparations and the same treatment duration are required to determine whether our results can be generalized to all individuals.


# These authors contributed to this manuscript equally.


  1. Funding information: This research was funded by the Scientific Research and Innovation Fund of Wuhan Asia General Hospital (Project No. 2022KYCX1-A04); 2020 General Planning Fund Project for Humanities and Social Sciences of the Ministry of Education, China (Project No. 20YJA880053); Key Research Project of Philosophy and Social Sciences of Hubei Provincial Department of Education in 2020 (Project No. 20D026); and Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology (Project No. OHIC2022G05).

  2. Author contributions: Conceptualization, Y.L. and Q.X.; methodology, Y.L. and Q.X.; formal analysis, Y.L. and Q.X.; investigation, Y.L. J.W and Q.X.; writing – original draft preparation, Y.L. and Q.X.; writing – review and editing, Y.L., Q.W. and Q.X.; supervision, Q.W. All authors have read and agreed to the published version of the manuscript.

  3. Conflict of interest: Authors state no conflict of interest.

  4. Data availability statement: The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Received: 2023-06-11
Revised: 2023-08-18
Accepted: 2023-09-04
Published Online: 2023-10-17

© 2023 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  107. Development of an instrument-free and low-cost ELISA dot-blot test to detect antibodies against SARS-CoV-2
  108. Research progress on gas signal molecular therapy for Parkinson’s disease
  109. Adiponectin inhibits TGF-β1-induced skin fibroblast proliferation and phenotype transformation via the p38 MAPK signaling pathway
  110. The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
  111. α-Fetoprotein contributes to the malignant biological properties of AFP-producing gastric cancer
  112. CXCL12/CXCR4/CXCR7 axis in placenta tissues of patients with placenta previa
  113. Association between thyroid stimulating hormone levels and papillary thyroid cancer risk: A meta-analysis
  114. Significance of sTREM-1 and sST2 combined diagnosis for sepsis detection and prognosis prediction
  115. Diagnostic value of serum neuroactive substances in the acute exacerbation of chronic obstructive pulmonary disease complicated with depression
  116. Research progress of AMP-activated protein kinase and cardiac aging
  117. TRIM29 knockdown prevented the colon cancer progression through decreasing the ubiquitination levels of KRT5
  118. Cross-talk between gut microbiota and liver steatosis: Complications and therapeutic target
  119. Metastasis from small cell lung cancer to ovary: A case report
  120. The early diagnosis and pathogenic mechanisms of sepsis-related acute kidney injury
  121. The effect of NK cell therapy on sepsis secondary to lung cancer: A case report
  122. Erianin alleviates collagen-induced arthritis in mice by inhibiting Th17 cell differentiation
  123. Loss of ACOX1 in clear cell renal cell carcinoma and its correlation with clinical features
  124. Signalling pathways in the osteogenic differentiation of periodontal ligament stem cells
  125. Crosstalk between lactic acid and immune regulation and its value in the diagnosis and treatment of liver failure
  126. Clinicopathological features and differential diagnosis of gastric pleomorphic giant cell carcinoma
  127. Traumatic brain injury and rTMS-ERPs: Case report and literature review
  128. Extracellular fibrin promotes non-small cell lung cancer progression through integrin β1/PTEN/AKT signaling
  129. Knockdown of DLK4 inhibits non-small cell lung cancer tumor growth by downregulating CKS2
  130. The co-expression pattern of VEGFR-2 with indicators related to proliferation, apoptosis, and differentiation of anagen hair follicles
  131. Inflammation-related signaling pathways in tendinopathy
  132. CD4+ T cell count in HIV/TB co-infection and co-occurrence with HL: Case report and literature review
  133. Clinical analysis of severe Chlamydia psittaci pneumonia: Case series study
  134. Bioinformatics analysis to identify potential biomarkers for the pulmonary artery hypertension associated with the basement membrane
  135. Influence of MTHFR polymorphism, alone or in combination with smoking and alcohol consumption, on cancer susceptibility
  136. Catharanthus roseus (L.) G. Don counteracts the ampicillin resistance in multiple antibiotic-resistant Staphylococcus aureus by downregulation of PBP2a synthesis
  137. Combination of a bronchogenic cyst in the thoracic spinal canal with chronic myelocytic leukemia
  138. Bacterial lipoprotein plays an important role in the macrophage autophagy and apoptosis induced by Salmonella typhimurium and Staphylococcus aureus
  139. TCL1A+ B cells predict prognosis in triple-negative breast cancer through integrative analysis of single-cell and bulk transcriptomic data
  140. Ezrin promotes esophageal squamous cell carcinoma progression via the Hippo signaling pathway
  141. Ferroptosis: A potential target of macrophages in plaque vulnerability
  142. Predicting pediatric Crohn's disease based on six mRNA-constructed risk signature using comprehensive bioinformatic approaches
  143. Applications of genetic code expansion and photosensitive UAAs in studying membrane proteins
  144. HK2 contributes to the proliferation, migration, and invasion of diffuse large B-cell lymphoma cells by enhancing the ERK1/2 signaling pathway
  145. IL-17 in osteoarthritis: A narrative review
  146. Circadian cycle and neuroinflammation
  147. Probiotic management and inflammatory factors as a novel treatment in cirrhosis: A systematic review and meta-analysis
  148. Hemorrhagic meningioma with pulmonary metastasis: Case report and literature review
  149. SPOP regulates the expression profiles and alternative splicing events in human hepatocytes
  150. Knockdown of SETD5 inhibited glycolysis and tumor growth in gastric cancer cells by down-regulating Akt signaling pathway
  151. PTX3 promotes IVIG resistance-induced endothelial injury in Kawasaki disease by regulating the NF-κB pathway
  152. Pancreatic ectopic thyroid tissue: A case report and analysis of literature
  153. The prognostic impact of body mass index on female breast cancer patients in underdeveloped regions of northern China differs by menopause status and tumor molecular subtype
  154. Report on a case of liver-originating malignant melanoma of unknown primary
  155. Case report: Herbal treatment of neutropenic enterocolitis after chemotherapy for breast cancer
  156. The fibroblast growth factor–Klotho axis at molecular level
  157. Characterization of amiodarone action on currents in hERG-T618 gain-of-function mutations
  158. A case report of diagnosis and dynamic monitoring of Listeria monocytogenes meningitis with NGS
  159. Effect of autologous platelet-rich plasma on new bone formation and viability of a Marburg bone graft
  160. Small breast epithelial mucin as a useful prognostic marker for breast cancer patients
  161. Continuous non-adherent culture promotes transdifferentiation of human adipose-derived stem cells into retinal lineage
  162. Nrf3 alleviates oxidative stress and promotes the survival of colon cancer cells by activating AKT/BCL-2 signal pathway
  163. Favorable response to surufatinib in a patient with necrolytic migratory erythema: A case report
  164. Case report of atypical undernutrition of hypoproteinemia type
  165. Down-regulation of COL1A1 inhibits tumor-associated fibroblast activation and mediates matrix remodeling in the tumor microenvironment of breast cancer
  166. Sarcoma protein kinase inhibition alleviates liver fibrosis by promoting hepatic stellate cells ferroptosis
  167. Research progress of serum eosinophil in chronic obstructive pulmonary disease and asthma
  168. Clinicopathological characteristics of co-existing or mixed colorectal cancer and neuroendocrine tumor: Report of five cases
  169. Role of menopausal hormone therapy in the prevention of postmenopausal osteoporosis
  170. Precisional detection of lymph node metastasis using tFCM in colorectal cancer
  171. Advances in diagnosis and treatment of perimenopausal syndrome
  172. A study of forensic genetics: ITO index distribution and kinship judgment between two individuals
  173. Acute lupus pneumonitis resembling miliary tuberculosis: A case-based review
  174. Plasma levels of CD36 and glutathione as biomarkers for ruptured intracranial aneurysm
  175. Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs
  176. Novel risk prediction models for deep vein thrombosis after thoracotomy and thoracoscopic lung cancer resections, involving coagulation and immune function
  177. Exploring the diagnostic markers of essential tremor: A study based on machine learning algorithms
  178. Evaluation of effects of small-incision approach treatment on proximal tibia fracture by deep learning algorithm-based magnetic resonance imaging
  179. An online diagnosis method for cancer lesions based on intelligent imaging analysis
  180. Medical imaging in rheumatoid arthritis: A review on deep learning approach
  181. Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach
  182. Utility of neutrophil–lymphocyte ratio and platelet–lymphocyte ratio in predicting acute-on-chronic liver failure survival
  183. A biomedical decision support system for meta-analysis of bilateral upper-limb training in stroke patients with hemiplegia
  184. TNF-α and IL-8 levels are positively correlated with hypobaric hypoxic pulmonary hypertension and pulmonary vascular remodeling in rats
  185. Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
  186. Comparison of the prognostic value of four different critical illness scores in patients with sepsis-induced coagulopathy
  187. Application and teaching of computer molecular simulation embedded technology and artificial intelligence in drug research and development
  188. Hepatobiliary surgery based on intelligent image segmentation technology
  189. Value of brain injury-related indicators based on neural network in the diagnosis of neonatal hypoxic-ischemic encephalopathy
  190. Analysis of early diagnosis methods for asymmetric dementia in brain MR images based on genetic medical technology
  191. Early diagnosis for the onset of peri-implantitis based on artificial neural network
  192. Clinical significance of the detection of serum IgG4 and IgG4/IgG ratio in patients with thyroid-associated ophthalmopathy
  193. Forecast of pain degree of lumbar disc herniation based on back propagation neural network
  194. SPA-UNet: A liver tumor segmentation network based on fused multi-scale features
  195. Systematic evaluation of clinical efficacy of CYP1B1 gene polymorphism in EGFR mutant non-small cell lung cancer observed by medical image
  196. Rehabilitation effect of intelligent rehabilitation training system on hemiplegic limb spasms after stroke
  197. A novel approach for minimising anti-aliasing effects in EEG data acquisition
  198. ErbB4 promotes M2 activation of macrophages in idiopathic pulmonary fibrosis
  199. Clinical role of CYP1B1 gene polymorphism in prediction of postoperative chemotherapy efficacy in NSCLC based on individualized health model
  200. Lung nodule segmentation via semi-residual multi-resolution neural networks
  201. Evaluation of brain nerve function in ICU patients with Delirium by deep learning algorithm-based resting state MRI
  202. A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis
  203. Markov model combined with MR diffusion tensor imaging for predicting the onset of Alzheimer’s disease
  204. Effectiveness of the treatment of depression associated with cancer and neuroimaging changes in depression-related brain regions in patients treated with the mediator-deuterium acupuncture method
  205. Molecular mechanism of colorectal cancer and screening of molecular markers based on bioinformatics analysis
  206. Monitoring and evaluation of anesthesia depth status data based on neuroscience
  207. Exploring the conformational dynamics and thermodynamics of EGFR S768I and G719X + S768I mutations in non-small cell lung cancer: An in silico approaches
  208. Optimised feature selection-driven convolutional neural network using gray level co-occurrence matrix for detection of cervical cancer
  209. Incidence of different pressure patterns of spinal cerebellar ataxia and analysis of imaging and genetic diagnosis
  210. Pathogenic bacteria and treatment resistance in older cardiovascular disease patients with lung infection and risk prediction model
  211. Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders
  212. From slides to insights: Harnessing deep learning for prognostic survival prediction in human colorectal cancer histology
  213. Ecology and Environmental Science
  214. Monitoring of hourly carbon dioxide concentration under different land use types in arid ecosystem
  215. Comparing the differences of prokaryotic microbial community between pit walls and bottom from Chinese liquor revealed by 16S rRNA gene sequencing
  216. Effects of cadmium stress on fruits germination and growth of two herbage species
  217. Bamboo charcoal affects soil properties and bacterial community in tea plantations
  218. Optimization of biogas potential using kinetic models, response surface methodology, and instrumental evidence for biodegradation of tannery fleshings during anaerobic digestion
  219. Understory vegetation diversity patterns of Platycladus orientalis and Pinus elliottii communities in Central and Southern China
  220. Studies on macrofungi diversity and discovery of new species of Abortiporus from Baotianman World Biosphere Reserve
  221. Food Science
  222. Effect of berrycactus fruit (Myrtillocactus geometrizans) on glutamate, glutamine, and GABA levels in the frontal cortex of rats fed with a high-fat diet
  223. Guesstimate of thymoquinone diversity in Nigella sativa L. genotypes and elite varieties collected from Indian states using HPTLC technique
  224. Analysis of bacterial community structure of Fuzhuan tea with different processing techniques
  225. Untargeted metabolomics reveals sour jujube kernel benefiting the nutritional value and flavor of Morchella esculenta
  226. Mycobiota in Slovak wine grapes: A case study from the small Carpathians wine region
  227. Elemental analysis of Fadogia ancylantha leaves used as a nutraceutical in Mashonaland West Province, Zimbabwe
  228. Microbiological transglutaminase: Biotechnological application in the food industry
  229. Influence of solvent-free extraction of fish oil from catfish (Clarias magur) heads using a Taguchi orthogonal array design: A qualitative and quantitative approach
  230. Chromatographic analysis of the chemical composition and anticancer activities of Curcuma longa extract cultivated in Palestine
  231. The potential for the use of leghemoglobin and plant ferritin as sources of iron
  232. Investigating the association between dietary patterns and glycemic control among children and adolescents with T1DM
  233. Bioengineering and Biotechnology
  234. Biocompatibility and osteointegration capability of β-TCP manufactured by stereolithography 3D printing: In vitro study
  235. Clinical characteristics and the prognosis of diabetic foot in Tibet: A single center, retrospective study
  236. Agriculture
  237. Biofertilizer and NPSB fertilizer application effects on nodulation and productivity of common bean (Phaseolus vulgaris L.) at Sodo Zuria, Southern Ethiopia
  238. On correlation between canopy vegetation and growth indexes of maize varieties with different nitrogen efficiencies
  239. Exopolysaccharides from Pseudomonas tolaasii inhibit the growth of Pleurotus ostreatus mycelia
  240. A transcriptomic evaluation of the mechanism of programmed cell death of the replaceable bud in Chinese chestnut
  241. Melatonin enhances salt tolerance in sorghum by modulating photosynthetic performance, osmoregulation, antioxidant defense, and ion homeostasis
  242. Effects of plant density on alfalfa (Medicago sativa L.) seed yield in western Heilongjiang areas
  243. Identification of rice leaf diseases and deficiency disorders using a novel DeepBatch technique
  244. Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture
  245. Animal Sciences
  246. Effect of ketogenic diet on exercise tolerance and transcriptome of gastrocnemius in mice
  247. Combined analysis of mRNA–miRNA from testis tissue in Tibetan sheep with different FecB genotypes
  248. Isolation, identification, and drug resistance of a partially isolated bacterium from the gill of Siniperca chuatsi
  249. Tracking behavioral changes of confined sows from the first mating to the third parity
  250. The sequencing of the key genes and end products in the TLR4 signaling pathway from the kidney of Rana dybowskii exposed to Aeromonas hydrophila
  251. Development of a new candidate vaccine against piglet diarrhea caused by Escherichia coli
  252. Plant Sciences
  253. Crown and diameter structure of pure Pinus massoniana Lamb. forest in Hunan province, China
  254. Genetic evaluation and germplasm identification analysis on ITS2, trnL-F, and psbA-trnH of alfalfa varieties germplasm resources
  255. Tissue culture and rapid propagation technology for Gentiana rhodantha
  256. Effects of cadmium on the synthesis of active ingredients in Salvia miltiorrhiza
  257. Cloning and expression analysis of VrNAC13 gene in mung bean
  258. Chlorate-induced molecular floral transition revealed by transcriptomes
  259. Effects of warming and drought on growth and development of soybean in Hailun region
  260. Effects of different light conditions on transient expression and biomass in Nicotiana benthamiana leaves
  261. Comparative analysis of the rhizosphere microbiome and medicinally active ingredients of Atractylodes lancea from different geographical origins
  262. Distinguish Dianthus species or varieties based on chloroplast genomes
  263. Comparative transcriptomes reveal molecular mechanisms of apple blossoms of different tolerance genotypes to chilling injury
  264. Study on fresh processing key technology and quality influence of Cut Ophiopogonis Radix based on multi-index evaluation
  265. An advanced approach for fig leaf disease detection and classification: Leveraging image processing and enhanced support vector machine methodology
  266. Erratum
  267. Erratum to “Protein Z modulates the metastasis of lung adenocarcinoma cells”
  268. Erratum to “BRCA1 subcellular localization regulated by PI3K signaling pathway in triple-negative breast cancer MDA-MB-231 cells and hormone-sensitive T47D cells”
  269. Retraction
  270. Retraction to “Protocatechuic acid attenuates cerebral aneurysm formation and progression by inhibiting TNF-alpha/Nrf-2/NF-kB-mediated inflammatory mechanisms in experimental rats”
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