Autoimmune hepatitis (AIH) is a chronic, progressive inflammatory liver disease caused by autoimmune reactions, with an unknown etiology. If left untreated, it can progress to cirrhosis, liver failure, or even death. While most patients respond well to first-line treatments, a significant number experience poor responses or intolerance, requiring the use of second- or third-line therapies. Ongoing research into the pathogenesis of AIH is leading to the development of novel therapeutic approaches. This review summarized recent advancements in the treatment of AIH both domestically and internationally.

The Chinese Clinical Practice Guidelines for the Prevention and Treatment of Mother-to-child Transmission of Hepatitis B Virus, developed by the Chinese Society of Infectious Diseases of the Chinese Medical Association in 2019, serves as a valuable reference for standardizing the prevention of mother-to-child transmission in China. As new evidence continues to emerge, it is essential to update these guidelines regularly to optimize clinical practice and research. To this end, the Infectious Disease Physician Branch of the Chinese Medical Doctor Association and the Chinese Society of Infectious Diseases of the Chinese Medical Association, in collaboration with multidisciplinary experts, have updated the guidelines based on the latest domestic and international research advancements and clinical practices, providing up-to-date guidance for clinicians and maternal and child healthcare workers.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is currently a pressing public health issue associated with adverse outcomes such as cirrhosis, malignancy, transplantation, and mortality. Lifestyle modifications constitute the most effective and fundamental management approach, but they often pose challenges in sustaining long-term clinical benefits. Hence, there is a critical need to enhance our understanding through pharmacological management, which unfortunately remains limited. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have emerged as a leading treatment in the fields of diabetes and obesity, with recent preclinical and clinical studies indicating significant benefits in the management and treatment of MASLD. Our article begins by reviewing the beneficial therapeutic components of GLP-1RAs in MASLD. Subsequently, from a clinical research perspective, we concluded with the liver outcomes of current primary GLP-1RAs and co-agonists. Finally, we presented our insights on clinical concerns such as appropriate trial endpoints, management of comorbidities, and future developments. In conclusion, the benefits of GLP-1RAs in MASLD are promising, and background therapy involving metabolic modulation may represent one of the future therapeutic paradigms.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and its more advanced form, metabolic dysfunction-associated steatohepatitis, have emerged as the most prevalent liver diseases worldwide. Currently, lifestyle modification is the foremost guideline-recommended management strategy for MASLD. However, it remains unclear which detrimental signals persist in MASLD even after disease remission. Thus, we aimed to examine the persistent changes in liver transcriptomic profiles following this reversal.

Male C57BL/6J mice were divided into three groups: Western diet (WD) feeding, chow diet (CD) feeding, or diet reversal from WD to CD. After 16 weeks of feeding, RNA sequencing was performed on the mice’s livers to identify persistent alterations characteristic of MASLD. Additionally, RNA sequencing databases containing high-fat diet-fed P53-knockout mice and human MASLD samples were utilized.

WD-induced MASLD triggered persistent activation of the DNA damage response (DDR) and its primary transcription factor, P53, long after the resolution of the hepatic phenotype through dietary reversal. Elevated levels of P53 might promote apoptosis, thereby exacerbating metabolic dysfunction-associated steatohepatitis, as they strongly correlated with hepatocyte ballooning, an indicator of apoptosis activation. Moreover, P53 knockout in mice led to downregulated expression of apoptosis signaling in the liver. Mechanistically, P53 may regulate apoptosis by transcriptionally activating the expression of apoptosis-enhancing nuclease (AEN). Consistently, P53, AEN, and the apoptosis process all exhibited persistently elevated expression and showed a strong inter-correlation in the liver following dietary reversal.

The liver demonstrated upregulation of DDR signaling and the P53-AEN-apoptosis axis both during and after exposure to WD. Our findings provide new insights into the mechanisms of MASLD relapse, highlighting DDR signaling as a promising target to prevent MASLD recurrence.

Alcohol consumption is responsible for approximately 6% of all deaths and 5.1% of the global disease burden. The most common alcohol-related causes of death include liver cirrhosis (50% of cases), pancreatitis (25%), and esophageal cancer (22%). In this review, we provide an overview of ethanol metabolism and highlight the major diseases caused by alcohol consumption in the liver and gastrointestinal tract. Due to its central metabolic role, the liver is particularly susceptible to ethanol, which is known to cause a wide spectrum of conditions, including steatosis, steatohepatitis, alcohol-associated hepatitis, fibrosis, cirrhosis, and hepatocellular carcinoma). The gastrointestinal tract is often one of the first areas to show signs of damage from excessive alcohol consumption. Chronic alcohol abuse is a well-established risk factor for both acute and chronic pancreatitis, as well as pancreatic cancer. Approximately 70% of acute pancreatitis cases and 30% of chronic pancreatitis cases are attributable to alcohol abuse. Epidemiological studies have consistently demonstrated a negative correlation between alcohol intake and the prevalence of gallstones. Moreover, alcohol is an important risk factor for gastroenteropancreatic cancer, as ethanol metabolism produces acetaldehyde, a potent carcinogen for humans. In conclusion, chronic ethanol intake, through one of its main metabolic products, acetaldehyde, causes pathological changes in the gastrointestinal tract, liver, pancreas, and gallbladder. Even moderate amounts of alcohol may increase the risk of cancers, such as colorectal cancer. Therefore, if there is clinical suspicion of excessive alcohol intake in a patient with persistent digestive symptoms (e.g., abdominal pain, nausea, vomiting, diarrhea, and bloody stools), immediate medical evaluation is essential. Referral to specialized centers with expertise in alcohol use disorder is a key management option for patients with established alcohol use disorder.

Since its proposal, the Model for End-Stage Liver Disease (MELD) score has been employed to predict short-term mortality among patients with chronic liver disease and those awaiting liver transplantation, serving as the primary criterion for organ allocation. However, as the demographic and epidemiological characteristics of chronic liver disease and liver transplantation have evolved, a range of MELD-related scores has emerged, including MELD-Na, iMELD, delta MELD, MELD XI, MELD-LA, and pediatric end-stage liver disease, culminating in the recently proposed MELD 3.0, which builds upon MELD-Na. This study aimed to comprehensively review and summarize relevant studies on MELD 3.0 in various scenarios, assessing its effectiveness in organ allocation, post-transplantation outcomes, and mortality prediction for patients with end-stage liver disease. Our preliminary findings indicate superior predictive performance of MELD 3.0, warranting further in-depth investigations to broaden its clinical implications.

Obesity has become a global epidemic affecting diverse populations and leading to metabolic syndrome across different sexes and age groups. A significant aspect of obesity is the development of leptin resistance, primarily due to the inefficient transport of leptin across the blood-brain barrier and other mechanisms such as protein folding and dysregulation of leptin signaling in brain areas related to energy and adipose tissue metabolism. This hindrance in leptin delivery poses a challenge to using this adipokine as a potential therapy for obesity. Current research focuses on understanding the complex molecular pathways that link diet-induced obesity, characterized by increased levels of leptin, to the onset of metabolic syndrome. This syndrome encompasses various health issues, including type 2 diabetes mellitus, and involves intricate mechanisms primarily affecting pancreatic β-cells. This bioinformatics-assisted review describes key biological elements of known pathways, such as the forkhead box protein O1/leptin receptor and Janus kinase/signal transducer and activator of transcription 3, and discusses future directions that might contribute to understanding the relationship between obesity, leptin resistance, and metabolic complications (e.g., Rac1/cell division control protein 42 homolog), paving the way for future research on targeted therapeutic interventions.

This review discussed experimental mouse models used in the pre-clinical study of liver fibrosis regression, a pivotal process in preventing the progression of metabolic dysfunction-associated steatohepatitis to irreversible liver cirrhosis. These models provide a valuable resource for understanding the cellular and molecular processes underlying fibrosis regression in different contexts. The primary focus of this review is on the most commonly used models with diet- or hepatotoxin-induced fibrosis, but it also touches upon genetic models and mouse models with biliary atresia or parasite-induced fibrosis. In addition to emphasizing in vivo models, we briefly summarized current in vitro approaches designed for studying fibrosis regression and provided an outlook on evolving methodologies that aim to refine and reduce the number of experimental animals needed for these studies. Together, these models contribute significantly to unraveling the underlying mechanisms of liver fibrosis regression and offer insights into potential therapeutic interventions. By presenting a comprehensive overview of these models and highlighting their respective advantages and limitations, this review serves as a roadmap for future research.

With the increasing use of artificial intelligence (AI) in diagnostics, AI algorithms have shown great potential in aiding diagnostics. As more of these algorithms are developed, there is overwhelming enthusiasm for implementing digital and artificial intelligence-based pathology (DAIP), but doubts and pitfalls are also emerging. However, few original or review articles address the limitations and practical aspects of implementing DAIP. In this review, we briefly examine the evidence related to the benefits and pitfalls of DAIP implementation and argue that DAIP is not suitable for every clinical laboratory.

We searched the PubMed database using the following keywords: “digital pathology,” “digital AI pathology,” and “AI pathology.”. Additionally, we incorporated personal experiences and manually searched related papers.

Ninety-two publications were found, of which 24 met the inclusion criteria. Many advantages of DAIP were discussed, including improved diagnostic accuracy and equity. However, several limitations of implementing DAIP exist, such as financial constraints, technical challenges, and legal/ethical concerns.

We found a generally favorable but cautious outlook for the implementation of DAIP in the pathology workflow. Many studies have reported promising outcomes in using AI for diagnosis and analysis; however, there are also several noteworthy limitations in implementing DAIP. Therefore, a balance between the benefits and pitfalls of DAIP must be thoroughly articulated and examined in light of the institution’s needs and goals before making the decision to implement DAIP. Approaches for mitigating machine learning biases were also proposed, and the adaptation and growth of the pathology profession were discussed in light of DAIP development and advances.

Gastrointestinal endoscopy has undergone significant transformation since its first introduction in the early 20th century. Despite advances in modern endoscopy, its precision in detecting and removing colorectal cancer (CRC) varies; colorectal polyps or cancer are still missed in 2.1-5.9% of cases. Additionally, post-colonoscopy CRC occurs in 30% of patients who have undergone incomplete polyp resection. When biopsies are taken, only 11.4% are found to be malignant, rendering 88.6% of tissue removal unnecessary. To address these shortcomings, modern endoscopy is evolving. Current endoscopic modalities include wide-field and microscopic-field endoscopy. Wide-field view endoscopy remains the most frequently used type and includes the current standard of practice—white light endoscopy—as well as other modalities such as virtual and dye-based chromoendoscopy, ultrathin endoscopy, and capsule endoscopy. Microscopic field endoscopy encompasses several new emerging modalities that can provide microscopic resolution capable of diagnosing lesions in vivo (optical biopsy), thus reducing the number of unnecessary biopsies. However, the emerging technology comes with a learning curve and requires time for endoscopists to master and achieve interobserver agreement. Consequently, there is a growing opportunity to develop machine learning technology to assist with the learning process. We review current modalities available for the diagnosis of CRC, including the current standard of practice, new enhanced imaging modalities, and optical biopsy.