Review Article

Perioperative Modulation of the Gut-Liver Axis in Liver Surgery: Clinical Evidence and Future Directions

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DOI:

10.3791/73747

September 1st, 2026

In This Article

Summary

This review examines perioperative alterations in the gut–liver axis in liver surgery and their effects on postoperative outcomes. It evaluates microbiota-targeted interventions, highlighting stronger evidence for pro-/synbiotics in reducing infections, while microbiome biomarkers, bile acid therapies, fecal microbiota transplantation, and multiomics approaches remain investigational and require further clinical validation.

Abstract

Liver resection and liver transplantation remain cornerstone treatments for many hepatobiliary diseases, yet postoperative infection, impaired liver regeneration, and post-hepatectomy liver failure (PHLF) remain serious complications. Perioperative stressors can disrupt the gut-liver axis by altering the intestinal microbiota, epithelial barrier integrity, microbial metabolites, bile acid signaling, and host immunity. This review examines how these alterations relate to clinical outcomes and evaluates evidence for microbiota-targeted interventions, including probiotics, synbiotics, nutritional optimization, antibiotic stewardship, bile acid modulation, and emerging multiomics strategies. We distinguish liver resection from living-donor and deceased-donor liver transplantation because the patient populations, graft or remnant anatomy, ischemia-reperfusion exposures, immune status, and outcome definitions differ. Clinical evidence most consistently supports selected pro-/synbiotic strategies for reducing postoperative infection in higher-risk settings, whereas microbiome-based prediction of PHLF, fecal microbiota transplantation (FMT), bile acid-directed therapy, and precision multiomics-guided pathways remain investigational. Future work should use transparent literature identification, standardized perioperative protocols, risk-defined populations, external validation, and prospective multicenter trials. A better understanding of gut-liver interactions may help preserve beneficial host-microbial signals while limiting translocation and inflammation during recovery.

Introduction

Liver surgery remains a major treatment for hepatocellular carcinoma, cholangiocarcinoma, metastatic tumors, benign hepatobiliary disease, and end-stage liver disease. Modern anesthesia, parenchymal-sparing techniques, transplant care, and Enhanced Recovery After Surgery (ERAS) pathways have made these operations safer. Postoperative infection, delayed functional recovery, and PHLF remain serious complications1,2,3,4,5,6. Some of this risk begins in the intestine. Signals from the gut reach the liver through the portal vein, enterohepatic bile acid circulation, microbial metabolites, and immune pathways, and can modify hepatic inflammation and regeneration during the perioperative period2,3,4.

This narrative review focuses on the perioperative window, during which fasting, bowel preparation (when used), antibiotics, anesthesia, inflow occlusion, blood loss, transfusion, ischemia-reperfusion injury, immunosuppression, and postoperative feeding can affect the intestine and liver. We organize the evidence by mechanism, clinical context, study type, and endpoint, rather than giving all studies equal weight. We distinguish hepatectomy, living-donor liver transplantation (LDLT), and deceased-donor liver transplantation (DDLT) because their patient populations, graft or remnant anatomy, immune exposures, and outcome definitions differ. The review asks which gut-liver axis alterations are actionable, which are useful mainly as biomarkers, and which remain mechanistic hypotheses.

Literature identification and evidence selection were based on searches of PubMed/MEDLINE, Embase, and Web of Science databases, focusing primarily on studies published within the past 10 years, with earlier landmark studies included when they provided essential mechanistic or clinical evidence. The search strategy used combinations of key terms including “gut-liver axis,” “gut microbiota,” “microbiome,” “microbial metabolites,” “bile acids,” “probiotics,” “synbiotics,” “fecal microbiota transplantation,” “hepatectomy,” “liver surgery,” and “liver transplantation.” The present synthesis prioritizes representative clinical trials, systematic reviews and meta-analyses, guidelines, observational biomarker studies, and mechanistic reports that directly inform perioperative interpretation. Evidence was selected based on clinical relevance, methodological quality, and contribution to understanding mechanisms, outcomes, or translational strategies related to perioperative gut-liver axis modulation. The evidence was organized by intervention, surgical setting, study type, endpoint, and translational readiness rather than by publication chronology.

Review and Perspective

Mechanistic basis of perioperative gut-liver axis disruption

Under ordinary conditions, the liver receives a steady flow of microbial and metabolic signals from the gut. Low-grade exposure helps maintain hepatic immune tolerance without preventing a response to pathogens. Surgery can disturb that balance. Anesthesia, tissue trauma, hypoperfusion, antibiotics, and reduced availability of enteral substrates can reduce microbial diversity, weaken tight junctions, and increase intestinal permeability3,4,7. When the barrier fails, lipopolysaccharide (LPS), bacterial DNA, extracellular vesicles (EVs), and other microbial products can enter the portal circulation. Kupffer cells and hepatic sinusoidal endothelial cells may then receive stronger inflammatory signals8,9,10.

Two metabolic circuits deserve particular attention after hepatectomy. Short-chain fatty acids (SCFAs) and related microbial products support hepatocyte proliferation, membrane phospholipid biosynthesis, and innate immune tolerance. Antibiotic exposure and germ-free states impair regeneration in experimental models, whereas restoration of commensal signals improves regenerative competence10,11,12,13. Bile acids form a second circuit. They act as signaling molecules as well as digestive detergents. Microbiota-dependent bile acid conversion regulates the farnesoid X receptor (FXR), Takeda G protein-coupled receptor 5 (TGR5), and intestinal fibroblast growth factor 15/19 (FGF15/19) signaling. In rodents, FGF15 and, in humans, FGF19 are produced in the ileum and reach the liver via the portal blood, where they act on hepatic pathways that affect proliferation, inflammation, and metabolic adaptation14,15,16,17,18,19,20. Dysbiosis may therefore harm recovery by permitting translocation and weakening regenerative signals.

Distinct clinical contexts in liver resection and transplantation

Hepatectomy and liver transplantation should be treated as related but distinct clinical settings. Compared with hepatectomy, LDLT and DDLT involve different biological challenges, including graft ischemia-reperfusion injury, immunosuppression, donor-derived microbial exposure, and antimicrobial pressure. After resection, outcome risk is strongly shaped by future liver remnant volume, underlying liver disease, biliary pathology, and the extent of operative injury. After transplantation, the recipient is exposed to allograft ischemia-reperfusion, immunosuppression, donor-recipient matching, graft size, and antimicrobial pressure. Living-donor and deceased-donor transplantation also differ in graft anatomy, donor-related procedures, organ allocation, and preservation. These differences affect microbiome perturbation, immune responses, complication profiles, and the safety of microbiota-directed interventions. Evidence should therefore be synthesized within, rather than across, these settings whenever possible.

Clinical consequences of liver surgery

Gut-liver axis injury helps explain why a local operation can lead to systemic postoperative illness. In hepatectomy, bacterial translocation and loss of microbial metabolic support may contribute to cholangitis, intra-abdominal infection, pneumonia, sepsis, delayed regeneration, and prolonged hospitalization, especially in patients with biliary obstruction, cirrhosis, malnutrition, sarcopenia, or extensive resection1,21,22,23,24. Liver transplantation adds a different set of stresses because dysbiosis, immunosuppression, donor-recipient factors, graft size, and allograft ischemia-reperfusion injury often coexist. Living-donor liver transplantation involves a planned partial graft and donor-related anatomical and perioperative considerations, whereas deceased-donor transplantation involves a deceased-donor graft and distinct allocation, preservation, and ischemia profiles. These settings should therefore be analyzed separately, and transplant findings should not be generalized directly to hepatectomy or across transplant types23,25,26,27.

The same biology may be relevant to PHLF, but the supporting evidence is less robust than that for postoperative infection. PHLF is defined by impaired synthetic, excretory, and detoxification function after liver resection6. Recent studies of microbial DNA and EV signatures suggest that host-microbial signals may complement established variables, including future liver remnant volume, bilirubin, coagulation function, and the severity of underlying liver disease8,9. However, current reports are few, observational, and not externally validated; they have not established incremental predictive value beyond these clinical parameters. They should therefore be regarded as hypothesis-generating tools for risk stratification, not as proof that perioperative microbiome modulation prevents PHLF.

Gut-liver-brain signaling also warrants attention. Hepatic encephalopathy (HE) is the best-established clinical manifestation of gut-liver-brain pathology in hepatology, and gut microbiota, ammonia handling, inflammation, bile acid signaling, and blood-brain barrier effects contribute to current models of HE3,4,28. Postoperative delirium after liver surgery may involve inflammatory, hepatic, microbial, and vagal routes, but it is not the same as HE. Direct evidence in the perioperative liver surgery setting is lacking, and delirium prevention should therefore be regarded as a new translational problem rather than an established microbiome-guided intervention29,30.

Evidence strength and clinical interpretation

To avoid treating all gut-liver axis evidence equally, clinical claims should be interpreted according to study type, surgical context, and endpoint. Table 1 summarizes representative trials, meta-analyses, perioperative-care measures, and emerging translational approaches. The most consistent clinical signal concerns postoperative infection, whereas PHLF biomarkers, bile acid strategies, FMT, and multiomics remain earlier-stage evidence.

Clinical stratification changes the implications of this review. Pro-/synbiotic strategies show the clearest infection-prevention signal in selected high-risk hepatobiliary surgery and transplantation cohorts, but the evidence does not establish one standard regimen. PHLF prediction, bile acid modification, FMT, delirium prevention, and multiomics-guided therapy remain under investigation and have not been integrated into routine perioperative practice.

Perioperative interventions targeting the gut-liver axis

Clinical data are strongest for pro-/synbiotic strategies, but these interventions are heterogeneous and should be interpreted in light of the clinical context and endpoint (Table 1). Randomized trials in biliary cancer hepatectomy reported lower infection rates with postoperative synbiotics plus enteral nutrition than with enteral nutrition alone (19%, 4/21 versus 52%, 12/23), and with preoperative plus postoperative synbiotics than with postoperative-only synbiotics (12.1%, 5/41 versus 30.0%, 12/40)21,22. Early addition of lactic acid bacteria and fiber reduced bacterial infection after liver transplantation compared with fiber alone (3% versus 48%) in a randomized trial23. The PREPRO trial in living-donor liver transplantation reported fewer overall infectious complications with synbiotics than with placebo (22% versus 44%; odds ratio (OR) 0.359, 95% confidence interval (CI) 0.150–0.858), but hospitalization, non-infectious complications, antibiotic use, and 30-day mortality did not differ (27). A 2020 systematic review of liver surgery and transplantation reported a pooled relative risk (RR) of 0.46 (95% CI 0.31–0.67), whereas a 2025 meta-analysis of randomized trials in liver surgery reported an OR of 0.34 (95% CI 0.25–0.45)1,24. These estimates support an overall infection signal across mixed surgical populations, not a universal hepatectomy effect. Strain, dose, timing, nutritional background, antibiotic exposure, surgical procedure, and patient risk differed across studies, preventing a single standard regimen.

Patient selection affects causal inference due to confounding. A low-risk patient undergoing a minor hepatectomy may need standard ERAS nutrition and routine antimicrobial prophylaxis. Patients with obstructive jaundice, biliary drainage, cirrhosis, recent broad-spectrum antibiotics, transfusion, diabetes, steatosis, or a small future liver remnant require closer management of infection, nutrition, cholestasis, and postoperative liver function. These are clinical risk strata, not mechanisms. Studies attributing outcomes to modulation of the gut-liver axis should specify how antibiotic exposure, transfusion, operative approach, inflow occlusion, blood loss, biliary drainage, immunosuppression, and adherence to ERAS were measured or controlled for.

Nutrition and ERAS measures are now available and have the strongest practical rationale for baseline care. Short-term fasting can support carbohydrate loading, early oral or enteral nutrition, and prevention of prolonged ileus, which may help maintain mucosal integrity and provide substrates for commensal metabolism5,25,31,32. Antibiotics remain necessary for prophylaxis and treatment, but overly broad-spectrum exposure may remove commensal signals required for regeneration7,12. Fecal microbiota transplantation (FMT) and bile acid-directed therapies may be considered for selected indications such as severe dysbiosis, recurrent infection, cholestasis, or metabolic dysfunction-associated steatotic liver disease. For general perioperative use, donor selection and timing, immunosuppression, drug interactions, pathogen transmission, and safety monitoring still require liver-surgery-specific trials17,33,34,35,36,37.

Bile acid-directed therapy has a mechanistic rationale but limited perioperative clinical evidence. FXR agonism, modulation of enterohepatic circulation, and careful management of cholestasis may affect inflammation and regenerative signaling14,15,16,18,19,20. Bile acid pools differ across normal parenchyma, steatosis, cholestasis, cirrhosis, and transplanted grafts. Before perioperative bile acid interventions are adapted from chronic metabolic liver disease protocols, pharmacokinetic, microbial, liver-function, and safety studies are needed in the relevant surgical populations.

Proposed precision recovery pathway

The pathway proposed here is a conceptual system for trial design and risk-adapted care, not an approved clinical standard. Preoperative risk stratification should combine conventional surgical variables with gut-liver axis risks, including cirrhosis, biliary drainage, cholestasis, recent antibiotic exposure, malnutrition, diabetes, steatosis, planned future liver resection, expected transfusion risk, and transplant-specific immunosuppression. Intraoperative and early postoperative plans should protect barrier function through stable hemodynamics, judicious inflow occlusion, normothermia, opioid-sparing analgesia when feasible, targeted antimicrobial therapy, and early oral or enteral nutrition5,7,25,31,32. These perioperative interactions and potential precision-recovery strategies are summarized in Figure 1.

High-risk patients may be suitable for targeted modulation, such as strain-defined probiotics or synbiotics, prebiotic fiber or medical nutrition, de-escalation of unnecessary antibiotics, and monitoring of bile acid and inflammatory profiles1,17,18,21,22,23,24. Multiomics and artificial intelligence should support these decisions rather than become the endpoint. Longitudinal metagenomics, metabolomics, bile acid profiling, immune markers, and electronic health record data may identify recovery phenotypes and signal deviations from the expected course. Prediction models should be transparent, reproducible, externally validated, separately calibrated for hepatectomy and transplantation, standardized across analytical platforms, and linked to interventions that can be tested prospectively.

The pathway should remain clinically feasible. Many centers do not perform stool metagenomics or bile acid profiling for every patient, and unstable patients cannot wait for complex assays. A tiered model is more practical: clinical risk stratification for all patients, focused microbial or metabolomic tests for selected high-risk cases, and research-grade multiomics in prospective trials. This approach can improve routine care while generating the evidence needed to build more precise protocols. Clinical implementation should also address turnaround time, laboratory reproducibility, data governance, cost, interpretability, and safety monitoring.

Future directions

Several gaps remain before translation. Studies use different sampling time points, sequencing methods, metabolite platforms, probiotic products, antibiotic regimens, surgical procedures, and outcome definitions. Multicenter perioperative cohorts should therefore collect stool, blood, bile, transfusion, antibiotic, operative, immunosuppression, and clinical-outcome data around shared surgical milestones. Trials should treat microbiota modulation as a set of defined interventions and recruit patients by clinical context and risk stratum, such as cholestasis, cirrhosis, major hepatectomy, marginal grafts, living-donor transplantation, or documented dysbiosis, rather than describing these categories as mechanisms. Studies should report null outcomes alongside infection, hospitalization, PHLF, delirium, death, adverse events, and microbiome-mediated safety signals. External validation, platform standardization, and independent replication should precede clinical implementation.

Conclusions

Perioperative stressors can cause detrimental alterations in the gut-liver axis, including dysbiosis, barrier dysfunction, altered microbial metabolites, and disturbed bile acid signaling, which may contribute to infection, systemic inflammation, and impaired regeneration after liver surgery. The most reproducible clinical signal is lower postoperative infection with selected pro-synbiotic regimens in high-risk hepatobiliary surgery and transplantation, but heterogeneity prevents a universal protocol. Evidence for PHLF prediction, bile acid-directed therapy, FMT, and multiomics-guided care remains mechanistic, observational, or early translational; biomarker studies have not yet established incremental value beyond future liver remnant volume, bilirubin, coagulation function, and underlying liver disease severity. In practice, ERAS-compatible nutrition, rational antibiotic stewardship, and setting-specific risk assessment are reasonable foundations, while interventions should be evaluated separately in hepatectomy, LDLT, and DDLT populations. Prospective multicenter studies should standardize sampling and outcomes, validate prediction models externally, monitor safety, and test whether risk-defined modulation improves patient-centered outcomes.

figure-results-1
Figure 1: Perioperative gut-liver axis modulation in liver surgery. Surgical stressors such as anesthesia, fasting, antibiotics, hypoperfusion, ischemia-reperfusion injury, transfusion, immunosuppression, and inflammatory stress can cause dysbiosis, intestinal barrier dysfunction, altered short-chain fatty acid and bile acid signaling, and increased portal delivery of microbial products. These changes may increase the risk of postoperative infection, systemic inflammation, delayed liver regeneration, and PHLF, but the supporting evidence varies by endpoint and population. The precision recovery pathway is a conceptual, trial-ready framework and has not been prospectively validated as an all-encompassing clinical pathway. The FGF19 arrow indicates ileum-to-liver signaling through portal delivery of ileal FGF19. Abbreviations: ERAS = Enhanced Recovery After Surgery; FGF19 = fibroblast growth factor 19; FXR = farnesoid X receptor; LPS = lipopolysaccharide; PHLF = post-hepatectomy liver failure; SCFAs = short-chain fatty acids; TGR5 = Takeda G protein-coupled receptor 5. Please click here to view a larger version of this figure.

Evidence domainEffect signal or evidence levelClinical interpretation and limitations
Synbiotics in biliary cancer hepatectomySingle-center randomized trials reported lower postoperative infection rates: 19% (4/21) vs 52% (12/23) with synbiotics plus enteral feeding, and 12.1% (5/41) vs 30.0% (12/40) with preoperative plus postoperative synbiotics21,22.Most relevant to high-risk hepatobiliary resection. Evidence supports an infection signal, but studies are older, small, and protocol-specific. Antibiotic exposure, biliary drainage, transfusion, and surgical technique limit mechanistic attribution.
Synbiotics or pre-/probiotics in liver transplantationA randomized trial reported bacterial infection rates of 3% with lactic acid bacteria plus fiber vs 48% with fiber alone23. A trial of synbiotics after living-donor liver transplantation reported fewer overall infections (22% vs 44%; OR 0.359, 95% CI 0.150–0.858), but no difference in hospital stay, non-infectious complications, antibiotic use, or 30-day mortality27.Transplant findings should be attributed to an immunosuppressed, allograft ischemia-reperfusion setting. They should not be generalized directly to hepatectomy patients.
Meta-analyses of liver surgery and transplantationA 2020 review reported lower infections with pro-/synbiotics (pooled RR 0.46, 95% CI 0.31-0.67)1. A 2025 randomized-trial meta-analysis reported lower postoperative infectious complications (OR 0.34, 95% CI 0.25-0.45)24.The pooled infection signal is consistent, but heterogeneity in strains, dose, timing, comparator care, and population prevents a single standard regimen.
ERAS nutrition and antibiotic stewardshipGuidelines and perioperative studies support early feeding, shorter fasting, and rational antimicrobial use as baseline care5,7,25,31,32. Direct microbiome-mediated effect sizes in liver surgery are rarely measured.Clinically actionable now, but these measures should be described as supportive and microbiota-preserving rather than as proven microbiome-targeted therapy.
Bile acid strategies, fecal microbiota transplantation, multiomics and PHLF biomarkersEvidence is mainly mechanistic, non-surgical, observational, or early translational8,9,14,15,16,17,18,19,20,33,34,35,36,37. PHLF microbial DNA and extracellular vesicle signals remain hypothesis-generating.Useful for risk phenotyping and trial design, but not routine care without prospective validation, safety monitoring, and population-specific calibration.

Table 1: Evidence level, population, effect signal, and clinical interpretation for perioperative gut-liver axis modulation in liver surgery. The table summarizes representative randomized trials, meta-analyses, perioperative care measures, and emerging translational approaches, while distinguishing between hepatectomy and transplantation populations and stating the main limitations that affect clinical applicability. Abbreviations: CI = confidence interval; FMT = fecal microbiota transplantation; LAB = lactic acid bacteria; OR = odds ratio; PHLF = post-hepatectomy liver failure; RR = relative risk.

Disclosures

The authors declare that they have no conflicts of interest.

References

  1. Kahn J, Pregartner G, Schemmer P. Effects of both pro- and synbiotics in liver surgery and transplantation with special focus on the gut-liver axis: a systematic review and meta-analysis. Nutrients. 2020;12(8):2461. doi:10.3390/nu12082461.
  2. Micó-Carnero M, et al. Effects of gut metabolites and microbiota in healthy and marginal livers submitted to surgery. Int J Mol Sci. 2021;22(1):44. doi:10.3390/ijms22010044.
  3. Tripathi A, et al. The gut-liver axis and the intersection with the microbiome. Nat Rev Gastroenterol Hepatol. 2018;15(7):397-411. doi:10.1038/s41575-018-0011-z.
  4. Albillos A, de Gottardi A, Rescigno M. The gut-liver axis in liver disease: pathophysiological basis for therapy. J Hepatol. 2020;72(3):558-577. doi:10.1016/j.jhep.2019.10.003.
  5. Joliat GR, et al. Guidelines for perioperative care for liver surgery: Enhanced Recovery After Surgery (ERAS) Society recommendations 2022. World J Surg. 2023;47(1):11-34. doi:10.1007/s00268-022-06732-5.
  6. Rahbari NN, et al. Posthepatectomy liver failure: a definition and grading by the International Study Group of Liver Surgery (ISGLS). Surgery. 2011;149(5):713-724. doi:10.1016/j.surg.2010.10.001.
  7. Shi L, Yu Y, Ma Z, Jiang W. Gut microbiota, liver disease, and perioperative anesthesia: interactions, risks, and therapeutic opportunities. Front Cell Infect Microbiol. 2025;15:1759076. doi:10.3389/fcimb.2025.1759076.
  8. Cohen SJ, et al. Microbiota transfer following liver surgery involves microbial extracellular vesicle migration that affects liver immunity. Hepatol Commun. 2023;7(6):e0164. doi:10.1097/HC9.0000000000000164.
  9. Cohen SJ, et al. Liver microbial DNA signatures and extracellular vesicle epitopes as predictors of post-hepatectomy liver failure. iScience. 2025;28(10):113618. doi:10.1016/j.isci.2025.113618.
  10. Zheng Z, Wang B. The gut-liver axis in health and disease: the role of gut microbiota-derived signals in liver injury and regeneration. Front Immunol. 2021;12:775526. doi:10.3389/fimmu.2021.775526.
  11. Yin Y, et al. Gut microbiota promote liver regeneration through hepatic membrane phospholipid biosynthesis. J Hepatol. 2023;78(4):820-835. doi:10.1016/j.jhep.2022.12.028.
  12. Wu X, et al. Oral ampicillin inhibits liver regeneration by breaking hepatic innate immune tolerance normally maintained by gut commensal bacteria. Hepatology. 2015;62(1):253-264. doi:10.1002/hep.27791.
  13. Kiseleva YV, et al. Gut microbiota and liver regeneration: a synthesis of evidence on structural changes and physiological mechanisms. J Clin Exp Hepatol. 2024;14(6):101455. doi:10.1016/j.jceh.2024.101455.
  14. Huang W, et al. Nuclear receptor-dependent bile acid signaling is required for normal liver regeneration. Science. 2006;312(5771):233-236. doi:10.1126/science.1121435.
  15. Uriarte I, et al. Identification of fibroblast growth factor 15 as a novel mediator of liver regeneration and its application in the prevention of post-resection liver failure in mice. Gut. 2013;62(6):899-910. doi:10.1136/gutjnl-2012-302945.
  16. Seaman S, et al. Intestinal Sirtuin 1 controls liver regeneration via regulating the intestinal FXR/FGF15 axis in mice. Cell Mol Gastroenterol Hepatol. 2026 May 22:101813. doi:10.1016/j.jcmgh.2026.101813.
  17. Chaudhari SN, et al. A microbial metabolite remodels the gut-liver axis following bariatric surgery. Cell Host Microbe. 2021;29(3):408-424.e7. doi:10.1016/j.chom.2020.12.004.
  18. Jia W, Xie G, Jia W. Bile acid-microbiota crosstalk in gastrointestinal inflammation and carcinogenesis. Nat Rev Gastroenterol Hepatol. 2018;15(2):111-128. doi:10.1038/nrgastro.2017.119.
  19. Kaur I, Juneja P, Tiwari R, et al. Secondary bile acids in portal blood contribute to liver regeneration in a rat model of partial hepatectomy. Am J Physiol Gastrointest Liver Physiol. 2024;327(4):G586-G597. doi:10.1152/ajpgi.00301.2023.
  20. Pandey SN, Goyal K, Rana M, et al. Microbiome-derived bile acids as endogenous regenerative mediators in liver repair. Regen Ther. 2025;30:681-690. doi:10.1016/j.reth.2025.08.011.
  21. Kanazawa H, et al. Synbiotics reduce postoperative infectious complications: a randomized controlled trial in biliary cancer patients undergoing hepatectomy. Langenbecks Arch Surg. 2005;390(2):104-113. doi:10.1007/s00423-004-0536-1.
  22. Sugawara G, et al. Perioperative synbiotic treatment to prevent postoperative infectious complications in biliary cancer surgery: a randomized controlled trial. Ann Surg. 2006;244(5):706-714. doi:10.1097/01.sla.0000219039.20924.88.
  23. Rayes N, et al. Supply of pre- and probiotics reduces bacterial infection rates after liver transplantation: a randomized, double-blind trial. Am J Transplant. 2005;5(1):125-130. doi:10.1111/j.1600-6143.2004.00649.x.
  24. Karitnig R, Bogner A, Jahn N, et al. Value of probiotics on outcome in patients following liver surgery: a systematic review and meta-analysis. Medicina (Kaunas). 2025;61(6):1068. doi:10.3390/medicina61061068.
  25. Brustia R, et al. Guidelines for perioperative care for liver transplantation: Enhanced Recovery After Surgery recommendations. Transplantation. 2022;106(3):552-561. doi:10.1097/TP.0000000000003808.
  26. Cooper TE, Scholes-Robertson N, Craig JC, et al. Synbiotics, prebiotics and probiotics for solid organ transplant recipients. Cochrane Database Syst Rev. 2022;9(9):CD014804. doi:10.1002/14651858.CD014804.pub2.
  27. Mallick S, Kathirvel M, Nair K, et al. A randomized, double-blinded, placebo-controlled trial analyzing the effect of synbiotics on infectious complications following living donor liver transplant: PREPRO trial. J Hepatobiliary Pancreat Sci. 2022;29(12):1264-1273. doi:10.1002/jhbp.1182.
  28. Lu H, Zhang H, Wu Z, Li L. Microbiota-gut-liver-brain axis and hepatic encephalopathy. Microbiome Res Rep. 2024;3(2):17. doi:10.20517/mrr.2023.44.
  29. Yang Y, Eguchi A, Wan X, et al. Depression-like phenotypes in mice with hepatic ischemia/reperfusion injury: a role of gut-microbiota-liver-brain axis via vagus nerve. J Affect Disord. 2024;345:157-167. doi:10.1016/j.jad.2023.10.142.
  30. Han R, Song Y, Wang Y, et al. Gut microbiota and postoperative delirium: mechanistic integration of the gut-liver-anesthesia axis in the context of liver disease and perioperative intervention strategies. Front Med (Lausanne). 2026;13:1832034. doi:10.3389/fmed.2026.1832034.
  31. Li XQ, et al. Advancements in nutritional diagnosis and support strategies during the perioperative period for patients with liver cancer. World J Gastrointest Surg. 2024;16(8):2409-2425. doi:10.4240/wjgs.v16.i8.2409.
  32. Zhuang L, et al. Effect of an ERAS-based pulmonary rehabilitation exercise program on perioperative outcomes in liver resection patients: a prospective study. Eur J Phys Rehabil Med. 2026;62(2):210-219. doi:10.23736/S1973-9087.26.08972-0.
  33. Xia Y, Ren M, Yang J, et al. Gut microbiome and microbial metabolites in NAFLD and after bariatric surgery: correlation and causality. Front Microbiol. 2022;13:1003755. doi:10.3389/fmicb.2022.1003755.
  34. Cerreto M, et al. Bariatric surgery and liver disease: general considerations and role of the gut-liver axis. Nutrients. 2021;13(8):2649. doi:10.3390/nu13082649.
  35. Cammarota G, Ianiro G, Tilg H, et al. European consensus conference on faecal microbiota transplantation in clinical practice. Gut. 2017;66(4):569-580. doi:10.1136/gutjnl-2016-313017.
  36. Yadegar A, Bar-Yoseph H, Monaghan TM, et al. Fecal microbiota transplantation: current challenges and future landscapes. Clin Microbiol Rev. 2024;37(2):e00060-22. doi:10.1128/cmr.00060-22.
  37. Maestri M, et al. Gut microbiota modulation in patients with non-alcoholic fatty liver disease: effects of current treatments and future strategies. Front Nutr. 2023;10:1110536. doi:10.3389/fnut.2023.1110536.

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Liver ResectionLiver TransplantationPostoperative InfectionMicrobiota ModulationBile Acid SignalingProbiotic TherapyFecal Microbiota Transplantation