Liver Injury and Regeneration—Metabolic Research

Dear Colleagues,

It is well known that the liver is an organ involved in a wide range of physiological processes to regulate body homeostasis. This means that any liver injury will influence many processes and cause damage at different levels. Among these causes, we find a broad spectrum of diseases. These include metabolism-associated steatotic liver disease (MASLD, previously known as NAFLD), viral hepatitis, alcohol-induced liver disease, storage diseases, etc. If left untreated, all of these can lead to varying degrees of liver fibrosis, potentially progressing to cirrhosis and the possible development of complications, the most severe being hepatocellular carcinoma (HCC).

The deeper we delve into its understanding, the more complex it becomes, and the greater the need for research in this area. In recent years, numerous drugs have failed due to the heterogeneity of liver lesions. Increasingly, the importance of the various components of metabolic syndrome and systemic inflammation in liver damage concomitant with all these diseases is being observed and studied. For example, a clear relationship has recently been observed between MASLD and inflammatory bowel disease. Additionally, genomics and metabolomics also present a vast field of research for both the development of these diseases and the response to treatments.

This Special Issue seeks to explore these connections and promote a deeper understanding of the underlying mechanisms and new therapeutic strategies. We invite the submission of manuscripts addressing, but not limited to, the following topics:

• Hepatic metabolism and its role in MASLD/NAFLD and chronic liver diseases.
• Molecular and cellular mechanisms of liver damage and regeneration.
• Impact of metabolic syndrome on liver function and pathology.
• Relationships between hepatic metabolism and the development of HCC.
• New therapeutic and diagnostic approaches in liver diseases. Responses to potential treatments for acute and chronic liver diseases.
• Effects of endoscopy on hepatic metabolism and regeneration.
• Application of conventional statistical methods and machine learning (ML) techniques in liver research.

We are interested in original articles, systematic reviews, and meta-analyses that utilize innovative approaches and advanced methodologies. We welcome studies employing both classical statistical analyses and those implementing ML techniques to advance the understanding of liver diseases and their treatment.

We look forward to receiving your contributions to make this Special Issue a valuable resource for researchers and clinicians.

Dr. Miguel Suárez Matías
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• metabolism-associated steatotic liver disease
• metabolic syndrome
• chronic liver disease
• liver fibrosis
• hepatocellular carcinoma
• metabolomic
• endoscopy
• non-invasive liver disease assessment
• artificial intelligence
• machine learning