Cirrhoses Liver

The aim of the study is to build up a bio-collection of biological samples from patients with cirrhosis. Further work using this bio-collection will permit to describe the influence of different exposome factors (nutrition, physical activity, socio-demographic conditions, tobacco, alcohol, pollutants) on the occurrence of the main type of liver cancer (called HCC). Indeed, in the vast majority of cases, HCC develops within cirrhosis, and the factors that precipitate the progression of cirrhotic patients to HCC remain largely unknown.

The goal of this clinical trial is to learn if the medicine vonoprazan can help prevent ulcers that may develop after endoscopic variceal band ligation (EVBL) in adults with liver cirrhosis. These ulcers sometimes cause pain or delayed bleeding after the procedure. The study will also look at how well vonoprazan is tolerated and if it improves comfort after the procedure. The main questions this study will answer are: Does vonoprazan lower the number and severity of ulcers found on endoscopy after EVBL? Does vonoprazan reduce swallowing pain or chest discomfort compared with placebo? Is vonoprazan safe and well tolerated in people with liver cirrhosis? Researchers will compare vonoprazan 20 mg once daily with a placebo (a look-alike tablet that contains no active medicine) to see if vonoprazan works better to prevent these ulcers. Participants will: Take vonoprazan or placebo by mouth once daily for 14 days after EVBL. Return for a follow-up endoscopy about two weeks later to check for ulcers. Report any symptoms such as pain, nausea, or swallowing difficulty during the study. Adults aged 18 to 75 years with liver cirrhosis who undergo EVBL will be invited to join. Participants will be randomly assigned to one of two groups, and neither they nor the study doctors will know which treatment they receive (double-blind design). The study will take place at Mayo Hospital, Lahore, Pakistan, over about six months. By comparing vonoprazan to placebo, researchers hope to find a better way to protect the esophagus and stomach after EVBL, reduce post-procedure pain, and support faster recovery in people with liver cirrhosis.

In this study,the researchers compared the changes in immune function-related indicators in patients with liver cirrhosis following laparoscopic partial splenectomy,to determine whether this surgical intervention can enhance postoperative immune function and thereby improve patient outcomes.

The objective of this observational study is to compare the differences in proteomics and gut microbiome between the liver cirrhosis group without hepatic encephalopathy and the hepatic encephalopathy group through proteomics and microbiome analysis, screen out the characteristic proteomics and microbiome of patients with hepatic encephalopathy, guide clinical diagnosis and treatment, and conduct in-depth research on the pathogenesis of hepatic encephalopathy. The main questions it aims to answer are: Are there any differences in serum proteomes between patients with liver cirrhosis without hepatic encephalopathy and those with hepatic encephalopathy? If so, what are the main protein differences? There are differences in the fecal microbiome between patients with liver cirrhosis without hepatic encephalopathy and those with hepatic encephalopathy? If so, what are the main microbial differences? This study will screen for the differences in proteomes and gut microbiomes between patients with liver cirrhosis without hepatic encephalopathy and those with hepatic encephalopathy, and identify the characteristic proteomes and microbiomes of patients with hepatic encephalopathy to guide clinical diagnosis and treatment.

The goal of this observational study is to explore whether a Raman-based, deep learning-assisted approach can be used to develop an effective method for early pan-cancer screening. The study includes healthy individuals, patients at risk of cancer, and patients with diagnosed cancers. The main questions it aims to answer are: * Evaluating the deep-learning model's accuracy and specificity in identifying cancer-specific features in Raman spectral data and determining whether this method can accurately classify patients based on risk. * Identifying which model is more adaptable to the Raman spectrum * Providing an interpretable analysis of the model-generated diagnosis Participants are already being diagnosed and follow-up to determine the type of cancer.