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Review
©The Author(s) 2026.
World J Gastroenterol. Jan 21, 2026; 32(3): 112437
Published online Jan 21, 2026. doi: 10.3748/wjg.v32.i3.112437
Table 3 Gut microbiota composition in hepatitis B virus/hepatitis C virus cirrhotic patients
Ref.
Total cases (n)
Cirrhosis-related cases (n)
Methodology
Increased taxa
Decreased taxa
Limitations
Conclusion
Elsherbiny et al[62], 202580 (60 CHC patients + 20 HCs)Non-cirrhotic CHC (n = 60)16S rRNA sequencing (V3-V4)SVR group: Elusimicrobium, Christensenellaceae R-7 group, Catenibacterium, Oceanobacillus, Candidatus Melainabacteria. Relapsed group: Prevotella, Bifidobacterium, Lactobacillus, Megasphaera, Mitsuokella. Non-treated group: Faecalibacterium, Asteroeplasma, Eubacterium coprostanoligenes, Lachnospiraceae, Akkermansia, MuribaculaceaeSVR group: Actinobacteria. All CHC vs HCs: Reduced diversity; Bacteroides, Agathobacter, ParabacteroidesSingle-center design; modest sample size; unmeasured confounders (diet, lifestyle)DAA therapy markedly modulates gut microbiota; SVR restores microbial diversity and composition toward that of HCs, whereas relapse is characterized by persistent dysbiosis
Huang et al[63], 2023120 subjects (180 samples)Control: 60 HCs. CHC (pre-DAA): 60 patients. SVR24 (post-DAA): 60 patients16S rRNA sequencing (V3-V4)Ruminococcaceae, Eubacterium, Agathobacter, Alistipes, Bifidobacterium, Klebsiella, Lactobacillus, Actinobacteria, Firmicutes, LactobacillusBacteroidetes, LachnoclostridiumRelatively small sample size; short follow-up (24 weeks); unmeasured confounders (diet, smoking); baseline differences in liver function between CHC and control groupsGut microbiota diversity and composition remained unchanged 6 months after DAA therapy; minor differences in CHC vs controls were unaffected by SVR
Honda et al[64], 202570 CHB patients + 8 HCsFunctional cure: 18 (HBsAg-, HBV DNA-). Low-titer DNA: 40. High-titer DNA: 12. HC: 816S rRNA sequencing (V3-V4)Clostridium bartlettii, Butyricimonas, Coprococcus catus, Bifidobacterium breve, CampylobacterNot reportedSmall sample size; exploratory design; in vitro SCFA concentrations may not reflect physiological levels in the liverButyrate-producing bacteria are enriched in HBsAg-negative patients; sodium butyrate directly suppresses HBsAg production in infected hepatocytes, especially post-infection
Inoue et al[65], 2025272 (174 active HCV, 75 post-SVR, 23 HCs)CH-HCV: 95, LC/HCC-HCV: 79, CH-SVR: 29, LC/HCC-SVR: 46, healthy: 2316S rRNA sequencing; fecal BA profiling; RNA-seqBlautia, Fusicatenibacter, Roseburia, Faecalibacterium, Subdoligranulum, CollinsellaStreptococcus, Streptococcus salivarius, Eubacterium hallii group, Ruminococcus torques groupCohort separation for multi-omic analyses; limited SVR48 sample size; partially uses database-derived RNA-seq dataHCV eradication partially restores gut dysbiosis and BA profiles, with post-SVR Blautia enrichment correlating with improved liver fibrosis and function
Li et al[66], 202588AHE-elderly: 58, HCs-elderly: 30, self-healing: 46, non-self-healing: 1216S rRNA sequencingAHE-elderly vs HC: Firmicutes, Lactobacillales, Bacilli, Streptococcaceae. Non-self-healing vs self-healing: Bifidobacteriaceae, Bacteroidia, Bacteroides fragilisAHE-elderly vs HC: Proteobacteria, Bacteroidetes. Self-healing vs non-self-healing: Firmicutes, Bacillus, Lactobacillus, StreptococcusNo significant difference in alpha diversity; lack of longitudinal data; unclear causal relationship between microbiota changes and HEV infectionBacteroidetes distinguish AHE patients from controls, with Bacteroides fragilis enriched in non-self-healing cases and serving as a predictive biomarker
Li et al[67], 202579HBC: 46, HCs: 33, BA-N: 24, BA-H: 2216S rRNA sequencing (V4-V5)Streptococcus, Veillonella, LactobacillalesBacteroides, Akkermansia, ClostridialesCross-sectional design; small sample size; no BA composition or metabolomic analysis; potential confounders (diet, medication) not fully addressedHBC dysbiosis features reduced beneficial taxa and increased opportunistic pathogens; Akkermansiaceae decline and Lactobacillales rise with elevated BAs, which correlate with higher Child-Pugh scores, suggesting gut microbiota–BA crosstalk drives HBC progression
Shi et al[68], 2025123HBV-LC: 83, HC: 40, MELD < 21: 68, MELD ≥ 21: 15, CTP-C: 2216S rRNA sequencing (V3-V4)Klebsiella, Streptococcus, Fusobacterium, EnterococcusAlistipes, Lachnospira, Agathobacter, Parabacteroides, RoseburiaSingle-center design; modest sample size; cross-sectional design limits causal inference; 16S rRNA does not capture full functional potentialHBV-LC patients show gut dysbiosis marked by enrichment of pathobionts (Klebsiella, Streptococcus) and loss of SCFA-producers (Alistipes, Lachnospira), with metabolite alterations (tocopherols, 21-hydroxypregnenolone) linked to specific microbial shifts and disease severity
Honda et al[69], 202142Pre-DAA: 14, EOT: 14, post-24: 14 (samples from the same 14 patients)16S rRNA sequencing (V3-V4)Faecalibacterium, BacillusBacteroides, FusobacteriumSmall sample size; lack of a HC group; intra-personal comparison only; cannot determine if pre-treatment microbiota differed from healthy individualsHCV eradication did not significantly alter overall gut microbiota diversity but increased beneficial taxa such as Faecalibacterium and Bacillus at 24 weeks post-treatment, indicating a positive compositional shift despite stable global diversity
Liu et al[70], 202462OBI: 24, HBV carriers: 18, HCs: 2016S rRNA sequencing (V3-V4)Subdoligranulum, MegamonasFaecalibacteriumSmall sample size; all participants were male; potential unmeasured confounders (diet); cannot establish causalityOBI is characterized by enrichment of Subdoligranulum, potentially driving IFN-γ/IL-17A–mediated immune activation that suppresses HBV replication, alongside depletion of beneficial Faecalibacterium
Yan et al[71], 20239030 HCs + 30 HBV-LC + 30 HBV-HCC16S rRNA sequencing (V3-V4) + flow cytometryProteobacteria, Actinobacteriota, Campylobacterota, Streptococcaceae, Enterobacteriaceae, Klebsiella, StreptococcusBacteroidota, Firmicutes, Lachnospiraceae, Ruminococcaceae, Oscillospiraceae, Rikenellaceae, Barnesiella, Agathobacter, PrevotellaCross-sectional design; small sample size; dietary/age confounders; 16S limits functionHBV-CLD progression involves enrichment of pro-inflammatory taxa and depletion of butyrate producers, correlating with T-cell immunosuppression
Hsu et al[72], 2022126HCV patients: 42 (pre-Tx: 42, post-Tx: 42), HCs: 84Prospective cohort; 16S rRNA (V3-V4), DADA2, LEfSe; matched controlsCoriobacteriaceae, Staphylococcaceae, Peptostreptococcaceae, SuccinivibrionaceaeMorganellaceae, Pasteurellaceae, MoraxellaceaeShort-term follow-up (12 weeks post-DAA); modest sample size; exploratory differential taxa need validation; cirrhosis subgroup is smallGut microbiota differs between HCV patients and HCs, but DAA-induced viral eradication does not significantly alter diversity or composition, suggesting viremia is not the main driver of dysbiosis
Wang et al[73], 202520Group M (minimal injury): 9, group S (significant injury): 11Human: Metagenomic sequencing. Mouse: 16S rRNA sequencing (V3-V4), FMTParabacteroides distasonis, Bacteroides dorei, Bacteroides finegoldii, Bacteroides ovatus, Bacteroides clarusEubacterium sp. CAG_180, Gemmiger formicilis, Oscillibacter sp. ER4, Subdoligranulum variabile, Faecalibacterium sp. CAG_74_58_120Small sample size (n = 20); FMT from a single cirrhotic donor; mechanistic pathways (BA crosstalk) require further validationGut dysbiosis contributes to histological liver damage in early CHB. FMT from an HBV-cirrhosis donor aggravated fibrosis in mice, implicating BA-microbiota crosstalk in disease progression
Yang et al[74], 2023950Viral hepatitis: 656 (HBV: 546, HCV: 86, HEV: 24), HC: 294Meta-analysis of 13 studies; 16S rRNA sequencing (multiple regions)Butyricimonas, Escherichia-Shigella, Lactobacillus, VeillonellaClostridia_UCG-014, Dorea, Monoglobus, RuminococcusLack of HAV/HDV data; variability in sequencing regions/platforms; cannot establish causalityViral hepatitis reduces gut microbial diversity, with specific taxa and functions (tryptophan metabolism, LPS biosynthesis) serving as potential biomarkers and contributing to disease pathogenesis


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