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Editorial

Special Issue “Mechanistic and Prognostic Biomarkers in Liver Diseases”

by
Hartmut Jaeschke
1,* and
Mitchell R. McGill
2,3,4,*
1
Department of Pharmacology, Toxicology, and Therapeutics, University of Kansas Medical Center, Kansas City, KS 66160, USA
2
Department of Environmental Health Sciences, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
3
Department of Pharmacology and Toxicology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
4
Department of Pathology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
*
Authors to whom correspondence should be addressed.
Livers 2025, 5(4), 60; https://doi.org/10.3390/livers5040060
Submission received: 3 November 2025 / Revised: 16 November 2025 / Accepted: 19 November 2025 / Published: 24 November 2025
(This article belongs to the Special Issue Mechanistic and Prognostic Biomarkers in Liver Diseases)
Basic science is critical for understanding fundamental biological processes and disease mechanisms. However, it is important to document that these mechanisms translate to humans and are relevant for human diseases. Although some mechanisms discovered in animal-based in vitro assays or in vivo models can be tested in human in vitro systems, such as primary human hepatocytes [1] or metabolically competent human liver cell lines [2,3], ultimately, evidence for these mechanisms needs to be obtained directly in humans. However, liver tissue from a living individual can only be obtained by biopsy or during surgery. This is a challenge because biopsy is contraindicated in some liver diseases, and even when it is medically justified, biopsy provides only a small amount of tissue, which may not be representative of the whole liver. Furthermore, the timing and context of biopsy or surgery are determined by patient care rather than research needs, so the conditions may not be ideal for procuring tissue for experimental investigations. In contrast, circulating biomarkers are easy to obtain and may be more likely to reflect dysfunction or injury of the entire organ. Mechanistic biomarkers provide insight into the mechanisms of liver diseases. For example, increases in plasma levels of bile acids indicate changes in metabolism, uptake, or excretion due to cell dysfunction or altered signaling, but bile acids themselves can also contribute to toxicity in cholestasis by damaging cell membranes [4,5]. Cytokines and chemokines may be generated in the liver and released by macrophages in response to many disease processes, but they can also further impact the mechanisms of liver disease by promoting inflammation [6,7]. Markers of necrosis are passively released due to loss of plasma membrane integrity and include the common clinical biomarkers alanine aminotransferase (ALT) and aspartate aminotransferase (AST) [8], but also high mobility group box 1 protein (HMGB1) [9], full-length keratin 18, and microRNA 122 (miR-122) [10,11,12,13,14]. On the other hand, apoptosis biomarkers include caspase-cleaved keratin 18 [10,13], active caspase enzymes themselves [15], and small DNA fragments [16]. Mitochondrial dysfunction or damage could be reflected by biomarkers such as the matrix enzyme glutamate dehydrogenase (GLDH) [13,15,17,18], mitochondrial DNA [13,15,17], acylcarnitines [19], and carbamoyl phosphate synthetase 1 (CPS-1) [20,21]. Plasma DNA fragments indicate nuclear damage during apoptosis or necrosis [22,23] but can also be an indirect biomarker of mitochondrial damage if the DNA fragmentation is caused by the release of mitochondrial proteins, such as endonuclease G and apoptosis-inducing factor, from damaged mitochondria, as in the specific case of acetaminophen overdose [15,23,24]. Besides mechanistic information, some of the mentioned biomarkers, including full-length keratin 18, GLDH, and miR-122, are also considered as diagnostic biomarkers allowing for an earlier and potentially more specific prediction of drug-induced liver injury [25]. After injury, the mechanisms of regeneration are critical for recovery and survival. Alpha-fetoprotein is considered a direct biomarker of regeneration and is clearly elevated after injury [8,26]. In addition, the recovery of plasma levels of proteins synthesized by hepatocytes, such as coagulation factors and complement proteins, that are depleted during the injury process, could be an indicator of regeneration [7,8]. Besides mediators synthesized in the liver or passively released by injured cells, the activation status of circulating immune cells could be a biomarker for the injury process or recovery. For example, the enhanced capacity of reactive oxygen formation and phagocytosis can demonstrate activation of neutrophils, and the timing of this effect during injury or regeneration can indicate a potential detrimental or beneficial effect of this inflammatory cell type on the injury or recovery process [27]. In addition, circulating biomarkers such as neopterin and soluble CD163 can indicate activation of macrophages [28]. These mechanistic biomarker studies in drug hepatotoxicity, in particular acetaminophen (APAP)-induced liver injury and acute liver failure (ALF), are strong examples and can be a guide for the expansion of these approaches to other acute and chronic liver disease processes, such as hypoxic hepatitis [13]. Similar or additional mechanistic or prognostic biomarkers may provide further insight into the pathophysiology of various human liver diseases, including Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and type 2 diabetes [29,30].
In contrast to mechanistic biomarkers, prognostic biomarkers predict the outcome of a liver disease process at early time points. The main purpose of these biomarkers is to guide clinical decision-making [8]. Again, studies in APAP-induced ALF can serve as an example. Once an injury has developed after an APAP overdose, the liver can either repair itself or progress to ALF and potentially death. In the latter case, a liver transplant may save the patient. However, due to the hyperacute nature of APAP-induced ALF, only a very narrow time window is available to decide whether to list the patient for transplantation. Thus, a readily measurable and accurate prognostic biomarker could greatly facilitate the selection of the appropriate patients for transplantation. Several of the above-mentioned mechanistic biomarkers have been evaluated as potential prognostic biomarkers [8]. Although it could be demonstrated in large groups of patients that higher mitochondrial dysfunction and damage correlate with negative outcomes [15,31], the substantial overlap of the datasets of survivors and non-survivors makes them less useful for individual cases. In contrast, recently described biomarkers such as CXCL14, angiopoietin-2, and lactate dehydrogenase (LDH) can predict who will need a liver transplant to survive with relatively high accuracy and close to the beginning or peak of liver injury [32,33,34,35]. The fact that these novel prognostic biomarkers can be readily measured by an ELISA or by enzyme kinetics within hours after blood sampling means that the results can be available in time to impact clinical decision-making. However, prognostic biomarkers for liver disease outcome can also involve other organs. For example, the plasma levels of kidney injury marker 1 (KIM-1) at the time of hospital admission are more than 500% higher in non-survivors than survivors after an APAP overdose, making KIM-1 an accurate prognostic biomarker for patients in need of a liver transplant to survive [36]. These are just a few examples of the clinical impact of prognostic biomarkers. Most acute and chronic liver diseases, including MASLD [37], alcoholic liver disease [38], fibrosis [39], liver cancer [40], and cholangiopathies [41,42], can benefit from the insight provided by prognostic biomarkers in terms of progression of the disease, monitoring effects of therapeutic interventions, and eventual clinical outcome.
Therefore, the objective of this Special Issue on “Mechanistic and Prognostic Biomarkers in Liver Diseases” (https://www.mdpi.com/journal/livers/special_issues/0757NW21HQ (accessed on 27 October 2025)) is to publish state-of-the-art reviews summarizing the newest developments in biomarker research by leading experts and attract additional reviews and original manuscripts that can further define the field, advance our understanding of the pathophysiology of human liver diseases, and identify novel therapeutic targets.

Author Contributions

Conceptualization, H.J. and M.R.M.; writing, original draft preparation, H.J.; writing, review and editing, M.R.M. All authors have read and agreed to the published version of the manuscript.

Funding

H.J. is supported by a grant from National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) grant R01 DK102142 and National Institute of General Medicine (NIGMS) funded Liver Disease COBRE grants P20 GM103549 and P30 GM118247. M.R.M. is supported by a grant from NIDDK grant R01 DK135752. None of the funders had any role in the design of the study or the decision to publish this contribution.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Xie, Y.; McGill, M.R.; Dorko, K.; Kumer, S.C.; Schmitt, T.M.; Forster, J.; Jaeschke, H. Mechanisms of Acetaminophen-Induced Cell Death in Primary Human Hepatocytes. Toxicol. Appl. Pharmacol. 2014, 279, 266–274. [Google Scholar] [CrossRef] [PubMed]
  2. Aninat, C.; Piton, A.; Glaise, D.; Le Charpentier, T.; Langouët, S.; Morel, F.; Guguen-Guillouzo, C.; Guillouzo, A. Expression of cytochromes P450, conjugating enzymes and nuclear receptors in human hepatoma HepaRG cells. Drug Metab. Dispos. 2006, 34, 75–83. [Google Scholar] [CrossRef]
  3. Lőrincz, T.; Deák, V.; Makk-Merczel, K.; Varga, D.; Hajdinák, P.; Szarka, A. The Performance of HepG2 and HepaRG Systems through the Glass of Acetaminophen-Induced Toxicity. Life 2021, 11, 856. [Google Scholar] [CrossRef] [PubMed]
  4. Schadt, H.S.; Wolf, A.; Pognan, F.; Chibout, S.D.; Merz, M.; Kullak-Ublick, G.A. Bile acids in drug-induced liver injury: Key players and surrogate markers. Clin. Res. Hepatol. Gastroenterol. 2016, 40, 257–266. [Google Scholar] [CrossRef]
  5. Qi, L.; Chen, Y. Circulating Bile Acids as Biomarkers for Disease Diagnosis and Prevention. J. Clin. Endocrinol. Metab. 2023, 108, 251–270. [Google Scholar] [CrossRef]
  6. Bonkovsky, H.L.; Barnhart, H.X.; Foureau, D.M.; Steuerwald, N.; Lee, W.M.; Gu, J.; Fontana, R.J.; Hayashi, P.J.; Chalasani, N.; Navarro, V.M.; et al. Cytokine Profiles in Acute Liver Injury-Results from the US Drug-Induced Liver Injury Network (DILIN) and the Acute Liver Failure Study Group. PLoS ONE 2018, 13, e0206389. [Google Scholar] [CrossRef]
  7. Woolbright, B.L.; Nguyen, N.T.; McGill, M.R.; Sharpe, M.R.; Curry, S.C.; Jaeschke, H. Generation of Pro-and Anti-Inflammatory Mediators after Acetaminophen Overdose in Surviving and Non-Surviving Patients. Toxicol. Lett. 2022, 367, 59–66. [Google Scholar] [CrossRef]
  8. McGill, M.R. From Fructose to the Future: Liver Disease Biomarkers and Their Prognostic Value in Acute Liver Failure. Crit. Rev. Clin. Lab. Sci. 2025, 62, 386–403. [Google Scholar] [CrossRef]
  9. Scaffidi, P.; Misteli, T.; Bianchi, M.E. Release of Chromatin Protein HMGB1 by Necrotic Cells Triggers Inflammation. Nature 2002, 418, 191–195. [Google Scholar] [CrossRef]
  10. Antoine, D.J.; Dear, J.W.; Lewis, P.S.; Platt, V.; Coyle, J.; Masson, M.; Thanacoody, R.H.; Gray, A.J.; Webb, D.J.; Moggs, J.G.; et al. Mechanistic Biomarkers Provide Early and Sensitive Detection of Acetaminophen-Induced Acute Liver Injury at First Presentation to Hospital. Hepatology 2013, 58, 777–787. [Google Scholar] [CrossRef] [PubMed]
  11. Thulin, P.; Nordahl, G.; Gry, M.; Yimer, G.; Aklillu, E.; Makonnen, E.; Aderaye, G.; Lindquist, L.; Mattsson, C.M.; Ekblom, B.; et al. Keratin-18 and microRNA-122 Complement Alanine Aminotransferase as Novel Safety Biomarkers for Drug-Induced Liver Injury in Two Human Cohorts. Liver Int. 2014, 34, 367–378. [Google Scholar] [CrossRef]
  12. Starkey Lewis, P.J.; Dear, J.; Platt, V.; Simpson, K.J.; Craig, D.G.N.; Antoine, D.J.; French, N.S.; Dhaun, N.; Webb, D.J.; Costello, E.M.; et al. Circulating microRNAs as Potential Markers of Human Drug-Induced Liver Injury. Hepatology 2011, 54, 1767–1776. [Google Scholar] [CrossRef]
  13. Weemhoff, J.L.; Woolbright, B.L.; Jenkins, R.E.; McGill, M.R.; Sharpe, M.R.; Olson, J.C.; Antoine, D.J.; Curry, S.C.; Jaeschke, H. Plasma Biomarkers to Study Mechanisms of Liver Injury in Patients with Hypoxic Hepatitis. Liver Int. 2017, 37, 377–384. [Google Scholar] [CrossRef]
  14. Dear, J.W.; Clarke, J.I.; Francis, B.; Allen, L.; Wraight, J.; Shen, J.; Dargan, P.I.; Wood, D.; Cooper, J.; Thomas, S.H.L.; et al. Risk Stratification after Paracetamol Overdose Using Mechanistic Biomarkers: Results from Two Prospective Cohort Studies. Lancet Gastroenterol. Hepatol. 2018, 3, 104–113. [Google Scholar] [CrossRef] [PubMed]
  15. McGill, M.R.; Sharpe, M.R.; Williams, C.D.; Taha, M.; Curry, S.C.; Jaeschke, H. The Mechanism Underlying Acetaminophen-Induced Hepatotoxicity in Humans and Mice Involves Mitochondrial Damage and Nuclear DNA Fragmentation. J. Clin. Investig. 2012, 122, 1574–1583. [Google Scholar] [CrossRef] [PubMed]
  16. Jahr, S.; Hentze, H.; Englisch, S.; Hardt, D.; Fackelmayer, F.O.; Hesch, R.D.; Knippers, R. DNA Fragments in the Blood Plasma of Cancer Patients: Quantitations and Evidence for Their Origin from Apoptotic and Necrotic Cells. Cancer Res. 2001, 61, 1659–1665. [Google Scholar] [PubMed]
  17. McGill, M.R.; Staggs, V.S.; Sharpe, M.R.; Lee, W.M.; Jaeschke, H. Serum Mitochondrial Biomarkers and Damage-Associated Molecular Patterns Are Higher in Acetaminophen Overdose Patients with Poor Outcome. Hepatology 2014, 60, 1336–1345. [Google Scholar] [CrossRef]
  18. McGill, M.R.; Jaeschke, H. Biomarkers of Mitotoxicity after Acute Liver Injury: Further Insights into the Interpretation of Glutamate Dehydrogenase. J. Clin. Transl. Res. 2021, 7, 5. [Google Scholar] [CrossRef]
  19. McGill, M.R.; Li, F.; Sharpe, M.R.; Williams, C.D.; Curry, S.C.; Ma, X.; Jaeschke, H. Circulating Acylcarnitines as Biomarkers of Mitochondrial Dysfunction after Acetaminophen Overdose in Mice and Humans. Arch. Toxicol. 2014, 88, 391–401. [Google Scholar] [CrossRef]
  20. Park, M.-J.; D’Alecy, L.G.; Anderson, M.A.; Basrur, V.; Feng, Y.; Brady, G.F.; Kim, D.-I.; Wu, J.; Nesvizhskii, A.I.; Lahann, J.; et al. Constitutive Release of CPS1 in Bile and Its Role as a Protective Cytokine during Acute Liver Injury. Proc. Natl. Acad. Sci. USA 2019, 116, 9125–9134. [Google Scholar] [CrossRef]
  21. Li, P.; Kuo, N.; Patel, R.; Omary, M.B. Hypoosmosis Alters Hepatocyte Mitochondrial Morphology and Induces Selective Release of Carbamoyl Phosphate Synthetase 1. Am. J. Physiol. Gastrointest. Liver Physiol. 2023, 325, G334–G346. [Google Scholar] [CrossRef]
  22. Grasl-Kraupp, B.; Ruttkay-Nedecky, B.; Koudelka, H.; Bukowska, K.; Bursch, W.; Schulte-Hermann, R. In Situ Detection of Fragmented DNA (TUNEL Assay) Fails to Discriminate among Apoptosis, Necrosis, and Autolytic Cell Death: A Cautionary Note. Hepatology 1995, 21, 1465–1468. [Google Scholar] [CrossRef]
  23. Cover, C.; Mansouri, A.; Knight, T.R.; Bajt, M.L.; Lemasters, J.J.; Pessayre, D.; Jaeschke, H. Peroxynitrite-Induced Mitochondrial and Endonuclease-Mediated Nuclear DNA Damage in Acetaminophen Hepatotoxicity. J. Pharmacol. Exp. Ther. 2005, 315, 879–887. [Google Scholar] [CrossRef] [PubMed]
  24. Craig, D.G.; Lee, P.; Pryde, E.A.; Masterton, G.S.; Hayes, P.C.; Simpson, K.J. Circulating apoptotic and necrotic cell death markers in patients with acute liver injury. Liver Int. 2011, 31, 1127–1136. [Google Scholar] [CrossRef]
  25. Llewellyn, H.P.; Vaidya, V.S.; Wang, Z.; Peng, Q.; Hyde, C.; Potter, D.; Wang, J.; Zong, Q.; Arat, S.; Martin, M.; et al. Evaluating the Sensitivity and Specificity of Promising Circulating Biomarkers to Diagnose Liver Injury in Humans. Toxicol. Sci. 2021, 181, 23–34. [Google Scholar] [CrossRef]
  26. Schmidt, L.E.; Dalhoff, K. Alpha-Fetoprotein Is a Predictor of Outcome in Acetaminophen-Induced Liver Injury. Hepatology 2005, 41, 26–31. [Google Scholar] [CrossRef] [PubMed]
  27. Williams, C.D.; Bajt, M.L.; Sharpe, M.R.; McGill, M.R.; Farhood, A.; Jaeschke, H. Neutrophil Activation during Acetaminophen Hepatotoxicity and Repair in Mice and Humans. Toxicol. Appl. Pharmacol. 2014, 275, 122–133. [Google Scholar] [CrossRef]
  28. Craig, D.G.; Lee, P.; Pryde, E.A.; Hayes, P.C.; Simpson, K.J. Serum neopterin and soluble CD163 as markers of macrophage activation in paracetamol (acetaminophen)-induced human acute liver injury. Aliment. Pharmacol. Ther. 2013, 38, 1395–1404. [Google Scholar] [CrossRef] [PubMed]
  29. Yin, C.; Zhong, R.; Zhang, W.; Liu, L.; Chen, L.; Zhang, H. The Potential of Bile Acids as Biomarkers for Metabolic Disorders. Int. J. Mol. Sci. 2023, 24, 12123. [Google Scholar] [CrossRef]
  30. Chang, E.; Chang, J.S.; Kong, I.D.; Baik, S.K.; Kim, M.Y.; Park, K.S. Multidimensional Biomarker Analysis Including Mitochondrial Stress Indicators for Nonalcoholic Fatty Liver Disease. Gut Liver 2022, 16, 171–189. [Google Scholar] [CrossRef]
  31. Kwan, R.; Chen, L.; Park, M.J.; Su, Z.; Weerasinghe, S.V.W.; Lee, W.M.; Durkalski-Mauldin, V.L.; Fontana, R.J.; Omary, M.B. The Role of Carbamoyl Phosphate Synthetase 1 as a Prognostic Biomarker in Patients With Acetaminophen-Induced Acute Liver Failure. Clin. Gastroenterol. Hepatol. 2023, 21, 3060–3069. [Google Scholar] [CrossRef]
  32. Vazquez, J.H.; Kennon-McGill, S.; Byrum, S.D.; Mackintosh, S.G.; Jaeschke, H.; Williams, D.K.; Lee, W.M.; Dranoff, J.A.; McGill, M.R. Proteomics Indicates Lactate Dehydrogenase Is Prognostic in Acetaminophen-Induced Acute Liver Failure Patients and Reveals Altered Signaling Pathways. Toxicol. Sci. 2022, 187, 25–34. [Google Scholar] [CrossRef]
  33. Price, J.R.; Hagrass, H.; Filip, A.B.; McGill, M.R. LDH and the MELD-LDH in Severe Acute Liver Injury and Acute Liver Failure: Preliminary Confirmation of a Novel Prognostic Score for Risk Stratification. J. Appl. Lab. Med. 2023, 8, 504–513. [Google Scholar] [CrossRef]
  34. Umbaugh, D.S.; Nguyen, N.; Curry, S.C.; Rule, J.A.; Lee, W.M.; Ramachandran, A.; Jaeschke, H. The Chemokine CXCL14 Is a Novel Early Prognostic Biomarker for Poor Outcome in Acetaminophen-Induced Acute Liver Failure. Hepatology 2024, 79, 1352–1364. [Google Scholar] [CrossRef]
  35. Umbaugh, D.S.; Nguyen, N.T.; Curry, S.C.; Rule, J.A.; Lee, W.M.; Ramachandran, A.; Jaeschke, H.; Acute Liver Failure Study Group. The Endothelial Growth Factor Angiopoietin-2 Is an Accurate Prognostic Biomarker in Patients with Acetaminophen-Induced Acute Liver Failure. Toxicol. Sci. 2025, kfaf130. [Google Scholar] [CrossRef]
  36. Antoine, D.J.; Sabbisetti, V.S.; Francis, B.; Jorgensen, A.L.; Craig, D.G.N.; Simpson, K.J.; Bonventre, J.V.; Park, B.K.; Dear, J.W. Circulating Kidney Injury Molecule 1 Predicts Prognosis and Poor Outcome in Patients with Acetaminophen-Induced Liver Injury. Hepatology 2015, 62, 591–599. [Google Scholar] [CrossRef]
  37. Cianci, N.; Subhani, M.; Hill, T.; Khanna, A.; Zheng, D.; Sheth, A.; Crooks, C.; Aithal, G.P. Prognostic non-invasive biomarkers for all-cause mortality in non-alcoholic fatty liver disease: A systematic review and meta-analysis. World J. Hepatol. 2022, 14, 1025–1037. [Google Scholar] [CrossRef] [PubMed]
  38. Rutledge, S.M.; Im, G.Y. Current and Future Biomarkers in Alcoholic Hepatitis. Clin. Liver Dis. 2021, 25, 493–516. [Google Scholar] [CrossRef] [PubMed]
  39. Patel, K.; Shackel, N.A. Current status of fibrosis markers. Curr. Opin. Gastroenterol. 2014, 30, 253–259. [Google Scholar] [CrossRef]
  40. Gailhouste, L.; Gomez-Santos, L.; Ochiya, T. Potential applications of miRNAs as diagnostic and prognostic markers in liver cancer. Front. Biosci. (Landmark Ed.) 2013, 18, 199–223. [Google Scholar] [CrossRef] [PubMed]
  41. Vimalesvaran, S.; Jagadisan, B.; Dhawan, A. Prognostic biomarkers of biliary atresia-are we there yet? Pediatr. Res. 2025, 98, 1178–1180. [Google Scholar] [CrossRef] [PubMed]
  42. Anouti, A.; Sudhakara, P.; Pratt, C.; Mourya, R.; VanWagner, L.; Shivakumar, P.; Pandurangi, S. Advances in prognostic biomarkers for biliary atresia: Current insights and future directions. J. Pediatr. Gastroenterol. Nutr. 2025, 81, 497–506. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Jaeschke, H.; McGill, M.R. Special Issue “Mechanistic and Prognostic Biomarkers in Liver Diseases”. Livers 2025, 5, 60. https://doi.org/10.3390/livers5040060

AMA Style

Jaeschke H, McGill MR. Special Issue “Mechanistic and Prognostic Biomarkers in Liver Diseases”. Livers. 2025; 5(4):60. https://doi.org/10.3390/livers5040060

Chicago/Turabian Style

Jaeschke, Hartmut, and Mitchell R. McGill. 2025. "Special Issue “Mechanistic and Prognostic Biomarkers in Liver Diseases”" Livers 5, no. 4: 60. https://doi.org/10.3390/livers5040060

APA Style

Jaeschke, H., & McGill, M. R. (2025). Special Issue “Mechanistic and Prognostic Biomarkers in Liver Diseases”. Livers, 5(4), 60. https://doi.org/10.3390/livers5040060

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