Liver Diseases: Diagnosis and Treatment in the Era of Personalized Medicine

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Personalized Therapy and Drug Delivery".

Deadline for manuscript submissions: 30 April 2026 | Viewed by 778

Special Issue Editors


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Guest Editor
1. Research Institute IDIVAL, University Hospital Marqués de Valdecilla, 39008 Santander, Spain
2. School of Medicine, Cantabria University, 39005 Santander, Cantabria, Spain
Interests: liver disease; precision medicine; liver disease biomarkers; metabolic liver disease

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Guest Editor Assistant
1. Biochemistry and Clinical Analysis Department, University Hospital Marqués de Valdecilla & Research Institute IDIVAL, 39008 Santander, Spain
2. Committee of Hepatology and Gastroenterology, Spanish Society of Laboratory Medicine, 28033 Madrid, Spain
Interests: liver disease biomarkers; metabolomics; liver disease; molecular biology; laboratory medicine; precision medicine

Special Issue Information

Dear Colleagues,

Liver diseases—including hepatitis, cirrhosis, and hepatocellular carcinoma—represent a significant global health burden. In recent years, the rise of personalized medicine has transformed the landscape of hepatology. Advances in biomarker discovery, high-throughput omics technologies, and artificial intelligence and machine learning are enabling earlier detection, more accurate disease classification, and the development of targeted therapeutic strategies.

This Special Issue aims to highlight the latest progress in the personalized diagnosis and treatment of liver diseases. We seek to promote the integration of molecular and basic research with clinical applications, foster translational approaches, and ultimately contribute to improving patient outcomes and quality of life.

We welcome the submission of original research articles, reviews, and methodological papers related to liver diseases and personalized medicine, particularly those focused on molecular diagnostics, omics-based approaches, precision therapeutics, and clinical implementation.

Dr. María Teresa Arias-Loste
Guest Editor

Dr. Armando Raúl Guerra-Ruiz
Guest Editor Assistant

Manuscript Submission Information

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Keywords

  • liver diseases
  • chronic liver disease
  • hepatitis
  • liver cirrhosis
  • liver cancer
  • personalized diagnosis
  • metabolomics
  • liver disease biomarkers
  • liver function tests
  • targeted therapy
  • mass spectrometry
  • high-resolution mass spectometry (HRMS)
  • clinical molecular biology

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Published Papers (2 papers)

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Research

12 pages, 761 KB  
Article
Measurement of Indocyanine Green as a Predictor of Liver Failure After Hepatic Resection, Contributing to Risk Stratification in Personalized Medicine
by Víctor Baladrón González, David Padilla Valverde, María del Carmen Gasco García, Pedro Juan Villarejo Campos, María Jesús Pardo Mora, Natalia Bejarano Ramírez, Omar Montenegro Herrera, Patricia Faba Martín, Rubén Villazala González and Francisco Javier Redondo Calvo
J. Pers. Med. 2025, 15(10), 488; https://doi.org/10.3390/jpm15100488 - 13 Oct 2025
Viewed by 235
Abstract
Background: Most of the advances in liver surgery have been achieved in the last few decades. The development of new diagnostic and therapeutic techniques has aided diagnosis and has facilitated more efficient and personalized resections for liver disorders. The estimation of the [...] Read more.
Background: Most of the advances in liver surgery have been achieved in the last few decades. The development of new diagnostic and therapeutic techniques has aided diagnosis and has facilitated more efficient and personalized resections for liver disorders. The estimation of the hepatic reserve has gained great importance because it marks the limit for more aggressive liver resections. It was hypothesized that determination of hepatic reserve by measuring plasma clearance of indocyanine green—following hepatic parenchymal liver resection—could provide earlier and more accurate knowledge of hepatic reserve and thus allow for more personalized therapy. Methods: A prospective observational post-authorization study was performed. Results: Applying ROC curves and the area under the curve (AUC) for the evaluation of the different tests as predictors of liver failure, favorable data were obtained in relation to bilirubin (AUC = 0.922) and prothrombin time (AUC = 1), and for postoperative PDR (AUC = 0.879) and GOT (AUC = 0.857), but not for preoperative PDR (AUC = 0.667) or GPT (AUC = 0.6). Conclusions: The gold standard for predicting early liver failure (the 50:50 criterion at on postoperative day 5) has a very good relationship with the plasma clearance rate of indocyanine green on postoperative day 1 and therefore has the potential to support earlier and more personalized therapeutic interventions, pending further validation. Full article
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13 pages, 519 KB  
Article
Personalizezed Hemodynamic Optimization Using Stroke Volume, Pulse Pressure Variation, and Continuous Cardiac Index in Major Liver Surgery: A Randomized Controlled Trial
by Francisco Javier Redondo Calvo, Víctor Baladrón González, David Padilla Valverde, Jorge Redondo Sánchez, Pedro Juan Villarejo Campos, Omar Montenegro Herrera, Patricia Faba Martín, Rubén Villazala González, Raquel Bodoque Villar, Juan Fernando Padin, José Ramón Muñoz-Rodríguez and Natalia Bejarano Ramírez
J. Pers. Med. 2025, 15(10), 457; https://doi.org/10.3390/jpm15100457 - 30 Sep 2025
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Abstract
Background/Objectives: The aim of this study was to evaluate fluid administration and intraoperative bleeding of patients who had major hepatic resection. We used artery pulse contour analysis monitor (ProAQT™) and personalized hemodynamic target-guided therapy, in which the administration of fluid, inotropes and [...] Read more.
Background/Objectives: The aim of this study was to evaluate fluid administration and intraoperative bleeding of patients who had major hepatic resection. We used artery pulse contour analysis monitor (ProAQT™) and personalized hemodynamic target-guided therapy, in which the administration of fluid, inotropes and vasopressors is guided by stroke volume, pulse pressure variation (SVV, PPV) and continuous cardiac index (CI). Methods: This trial was a prospective, randomized, parallel-group in adults scheduled for major hepatic resection. Participants were randomly assigned in equal numbers to one of two groups: (1) a control group receiving conventional perioperative care, and (2) an intervention group managed with goal-directed hemodynamic therapy guided by radial artery pulse contour analysis. Results: 45 patients were randomized to the GDHT (n = 16) and control group (n = 19). Blood loss was significantly higher in the control group than in GDHT group (728.13 ± 618.59 versus 292.63 ± 274.06, p = 0.009). The number of patients receiving intraoperative transfusion was significantly higher in the first group (6 ± 16 versus 0 ± 19, p = 0.005). Total volume infused was significantly higher in control group (CG) than in GDHT group (GG) (2853.13 ± 1432.18 versus 1125.79 ± 751.2, p = 0.001). Conclusions: Personalized goal-directed therapy optimizes intraoperative fluid administration during major liver resection and reduces blood transfusion. Full article
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