The gut-liver axis includes the bidirectional communication between the gut and the liver, and thus covers signals from liver-to-gut and from gut-to-liver. Disruptions of the gut-liver axis have been associated with the progression of chronic liver diseases, including alcohol-related and metabolic dysfunction-associated steatotic liver disease and cholangiopathies. Immune cells and their expression of pattern recognition receptors, activation markers or immune checkpoints might play an active role in the communication between gut and liver. Here, we present a 26-color full spectrum flow cytometry panel for human cells to decipher the role of circulating immune cells in gut-liver communication during the progression of chronic liver diseases in a non-invasive manner, which has been optimized to be used on patient-derived whole blood samples, the most abundantly available clinical material. Our panel focuses on changes in pattern recognition receptors, including toll-like receptors (TLRs) or Dectin-1, and also includes other immunomodulatory molecules such as bile acid receptors and checkpoint molecules. Moreover, this panel can be utilized to follow the progression of chronic liver diseases and could be used as a tool to evaluate the efficiency of therapeutic targets directed against microbial mediators or modulating immune cell activation.

A 65-year-old male with chronic liver disease and refractory ascites was being evaluated for liver transplant, when constrictive pericarditis (CP) was suspected. Initial diagnostics were inconclusive due to overdiuresis. After suspension of diuretics, cardiac magnetic resonance confirmed CP, leading to successful pericardiectomy and normalization of liver function, emphasizing volume status and multimodality imaging role in CP diagnosis.

A combined model was developed using contrast-enhanced CT-based radiomics features and clinical characteristics to predict liver fibrosis stages in patients with chronic liver disease (CLD). We retrospectively analyzed multiphase CT scans and biopsy-confirmed liver fibrosis. 160 CLD patients were randomly divided into 7:3 training/validation ratio. Clinical laboratory indicators associated with liver fibrosis were identified using Spearman\'s correlation and multivariate logistic regression correlation. Radiomic features were extracted after segmenting the entire liver from multiphase CT images. Feature dimensionality reduction was performed using RF-RFE, LASSO, and mRMR methods. Six radiomics-based models were developed in the training cohort of 112 patients. Internal validation was conducted on 48 randomly assigned patients. Receptor Operating Characteristic (ROC) curves and confusion matrices were constructed to evaluate model performance. The radiomics model exhibited robust performance, with AUC values of 0.810 to 1.000 for significant fibrosis, advanced fibrosis, and cirrhosis. The integrated clinical-radiomics model had superior diagnostic efficacy in the validation cohort, with AUC values of 0.836 to 0.997. Moreover, these models outperformed established biomarkers such as the aspartate aminotransferase to platelet ratio index (APRI) and the fibrosis 4 score (FIB-4), as well as the gamma glutamyl transpeptidase to platelet ratio (GPR), in predicting the fibrotic stages. The clinical-radiomics model holds considerable promise as a non-invasive diagnostic tool for the assessment and staging of liver fibrosis in the patients with CLD, potentially leading to better patient management and outcomes.

The ongoing COVID-19 pandemic has significantly impacted special populations, including immunocompromised individuals, people living with HIV (PLWHIV), pediatric patients, and those with chronic liver disease (CLD). This scoping review aims to map the clinical outcomes of these vulnerable groups when infected with various SARS-CoV-2 variants. The review identifies trends and patterns, noting that early variants, such as Alpha and Delta, are associated with more severe outcomes, including higher hospitalization and mortality rates. In contrast, the Omicron variant, despite its increased transmissibility, tends to cause milder clinical manifestations. The review highlights the necessity for ongoing surveillance and tailored healthcare interventions due to the heterogeneity of patient populations and the evolving nature of the virus. Continuous monitoring and adaptive healthcare strategies are essential to mitigate the impact of COVID-19 on these high-risk groups.

Alteration in the gut microbiome in human patients with chronic liver disease is a well-known pathophysiological mechanism. Therefore, it represents both a diagnostic and therapeutical target. Intestinal dysbiosis has also been identified in dogs with chronic liver disease, but clinical trials evaluating the effectiveness of synbiotic administration are lacking. Thirty-two dogs with chronic hepatobiliary disease were equally randomized into two groups: one treated with a synbiotic complex for 4-6 weeks (TG) and one untreated control group (CG). All dogs underwent clinical evaluation, complete anamnesis, bloodwork, abdominal ultrasound, fecal bile acids, and gut microbiome evaluation at T0-T1 (after 4-6 weeks). Treated dogs showed a significant reduction in ALT activity (p = 0.007) and clinical resolution of gastrointestinal signs (p = 0.026) compared to control dogs. The synbiotic treatment resulted in a lower increase in Enterobacteriaceae and Lachnospiraceae compared to the control group but did not affect the overall richness and number of bacterial species. No significant changes in fecal bile acids profile were detected with synbiotic administration. Further studies are needed to better evaluate the effectiveness of synbiotic administration in these patients and the metabolic pathways involved in determining the clinical and biochemical improvement.

Identifying hepatic fibrosis is paramount in managing patients with chronic liver disease. The etiology of liver disease can be owing to many factors, including chronic viral hepatitis, steatotic liver diseases such as alcohol-associated liver disease or metabolic dysfunction-associated steatotic liver disease, autoimmune hepatitis, and cholestatic liver diseases. Currently, invasive liver biopsy with histopathologic evaluation is the gold standard; however, noninvasive tests are becoming more prevalent, especially because they do not carry the risks of invasive procedures such as biopsy. This article reviews noninvasive tests for fibrosis, separating them into blood-based and imaging-based tests.

Background: Early detection of progressive liver damage in chronic liver disease (CLD) patients is crucial for better treatment response. Several studies have shown the association of microRNA (miRNA) in the progression of CLD in regulating cell proliferation, fibrosis, and apoptosis as well as in carcinogenesis. Objectives: The study was aimed at determining the expression of miRNA-221 among different stages of fibrosis in CLD patients due to hepatitis B virus (HBV) and nonalcoholic fatty liver disease (NAFLD) and thus evaluate its role as an early biomarker in CLD. Methods: A total of 100 participants (75 CLD patients and 25 healthy control) were recruited in this cross-sectional study and divided into four groups, of which 25 as healthy control, 25 in CLD without fibrosis, 25 were CLD with fibrosis, and 25 were CLD with cirrhosis. Total RNA was extracted from plasma followed by cDNA synthesis, and finally, the expression of miRNA-221 was analyzed for its diagnostic potential as a single biomarker using the qRT-PCR method. Results: The plasma level of miRNA-221 was significantly upregulated in different fibrosis stages of CLD (p < 0.05), and this upregulation was positively correlated with the progression of fibrosis (p < 0.05). Significantly increased expression of miRNA-221 was found in NAFLD patients compared to HBV patients in the CLD without fibrosis patient group (p < 0.05), while expression of miRNA-221 was significantly upregulated among HBV patients in the CLD with the fibrosis group. miRNA-221 showed high diagnostic accuracy in discriminating different stages of fibrosis from healthy control (p < 0.05). Conclusion: miRNA-221 may be used as a potential plasma biomarker for early prediction of fibrosis progression in CLD patients.

BACKGROUND: The virulence and severity of SARS-CoV-2 infections have decreased over time in the general population due to vaccinations and improved antiviral treatments. Whether a similar trend has occurred in patients with cirrhosis is unclear. We used the National COVID Cohort Collaborative (N3C) to describe the outcomes over time.
METHODS: We utilized the N3C level 3 data set with uncensored dates to identify all chronic liver disease (CLD) patients with and without cirrhosis who had SARS-CoV-2 infection as of November 2023. We described the observed 30-day case fatality rate (CFR) by month of infection. We used adjusted survival analyses to calculate relative hazard of death by month of infection compared to infection at the onset of the COVID-19 pandemic.
RESULTS: We identified 117,811 total CLD patients infected with SARS-CoV-2 between 3/2020-11/2023: 27,428 (23%) with cirrhosis and 90,383 (77%) without cirrhosis. The observed 30-day CFRs during the entire study period were 1.1% (1,016) for CLD patients without cirrhosis and 6.3% (1,732) with cirrhosis. Observed 30-day CFRs by month of infection varied throughout the pandemic and showed a sustained downward trend since 2022. Compared to infection in Quarter 2 of 2020 (at the beginning of the pandemic), the adjusted hazards of death at 30 days for infection in Quarter 3 of 2023 were 0.20 (95%CI 0.08-0.50) for CLD patients without cirrhosis and 0.35 (95%CI 0.18-0.69) for CLD patients with cirrhosis.
CONCLUSIONS: In this N3C study, we found that the observed 30-day CFR decreased progressively for both CLD patients with and without cirrhosis, consistent with broader trends seen in the general population.

Advancements in omics technologies and artificial intelligence (AI) methodologies are fuelling our progress towards personalised diagnosis, prognosis and treatment strategies in hepatology. This review provides a comprehensive overview of the current landscape of AI methods used for analysis of omics data in liver diseases. We present an overview of the prevalence of different omics levels across various liver diseases, as well as categorise the AI methodology used across the studies. Specifically, we highlight the predominance of transcriptomic and genomic profiling and the relatively sparse exploration of other levels such as the proteome and methylome, which represent untapped potential for novel insights. Publicly available database initiatives such as The Cancer Genome Atlas and The International Cancer Genome Consortium have paved the way for advancements in the diagnosis and treatment of hepatocellular carcinoma. However, the same availability of large omics datasets remains limited for other liver diseases. Furthermore, the application of sophisticated AI methods to handle the complexities of multiomics datasets requires substantial data to train and validate the models and faces challenges in achieving bias-free results with clinical utility. Strategies to address the paucity of data and capitalise on opportunities are discussed. Given the substantial global burden of chronic liver diseases, it is imperative that multicentre collaborations be established to generate large-scale omics data for early disease recognition and intervention. Exploring advanced AI methods is also necessary to maximise the potential of these datasets and improve early detection and personalised treatment strategies.

Abdominal paracentesis is a common procedure performed for both diagnostic and therapeutic purposes in patients with chronic liver disease and ascites. This review aims to provide an overview of the current evidence on the risk of bleeding associated with abdominal paracentesis. Electronic search was performed using PubMed, MEDLINE, and Ovid EMBASE from inception to 29 October 2023. Studies were included if they examined the risk of bleeding post-abdominal paracentesis or the efficacy of interventions to reduce bleeding in patients with chronic liver disease. Random-effects model was used to calculate the pooled proportions of bleeding events following abdominal paracentesis. Heterogeneity was determined by I 2, τ2 statistics, and P-value. Eight studies were included for review. Six studies reported incident events of post-abdominal paracentesis bleeding. Pooled proportion of bleeding events following abdominal paracentesis was 0.32% (95% CI: 0.15-0.69%). The mean values for pre-procedural INR and platelet count of patients in these studies ranged between 1.4 and 2.0, and 50 and 153 × 109/L, respectively. The highest recorded INR was 8.7, and the lowest platelet count was 19 × 109/L. Major bleeding after abdominal paracentesis occurred in 0-0.97% of the study cohorts. Two studies demonstrated that the use of thromboelastography (TEG) before paracentesis in patients with chronic liver disease identified those at risk of procedure-related bleeding and reduced transfusion requirements. The overall risk of major bleeding after abdominal paracentesis is low in patients with chronic liver disease and coagulopathy. TEG may be used to predict bleeding risk and guide transfusion requirements.