Mass Spectrometry-Based Proteomics Reveal Alcohol Dehydrogenase 1B as a Blood Biomarker Candidate to Monitor Acetaminophen-Induced Liver Injury.
Floriane PailleuxPauline MaesMichel JaquinodJustine BarthelonMarion DarnaudClaire LacosteYves VandenbrouckBenoît GilquinMathilde LouwagieAnne-Marie HesseAlexandra KrautJérôme GarinVincent LeroyJean-Pierre ZarskiChristophe BruleyYohann CoutDidier SamuelPhilippe IchaiJamila FaivreVirginie BrunPublished in: International journal of molecular sciences (2021)
Acute liver injury (ALI) is a severe disorder resulting from excessive hepatocyte cell death, and frequently caused by acetaminophen intoxication. Clinical management of ALI progression is hampered by the dearth of blood biomarkers available. In this study, a bioinformatics workflow was developed to screen omics databases and identify potential biomarkers for hepatocyte cell death. Then, discovery proteomics was harnessed to select from among these candidates those that were specifically detected in the blood of acetaminophen-induced ALI patients. Among these candidates, the isoenzyme alcohol dehydrogenase 1B (ADH1B) was massively leaked into the blood. To evaluate ADH1B, we developed a targeted proteomics assay and quantified ADH1B in serum samples collected at different times from 17 patients admitted for acetaminophen-induced ALI. Serum ADH1B concentrations increased markedly during the acute phase of the disease, and dropped to undetectable levels during recovery. In contrast to alanine aminotransferase activity, the rapid drop in circulating ADH1B concentrations was followed by an improvement in the international normalized ratio (INR) within 10-48 h, and was associated with favorable outcomes. In conclusion, the combination of omics data exploration and proteomics revealed ADH1B as a new blood biomarker candidate that could be useful for the monitoring of acetaminophen-induced ALI.
Keyphrases
- liver injury
- drug induced
- mass spectrometry
- cell death
- single cell
- high throughput
- end stage renal disease
- label free
- type diabetes
- small molecule
- newly diagnosed
- machine learning
- prognostic factors
- magnetic resonance imaging
- chronic kidney disease
- intensive care unit
- liver failure
- electronic health record
- gene expression
- signaling pathway
- body mass index
- ms ms
- dna methylation
- deep learning
- big data
- capillary electrophoresis
- peritoneal dialysis
- cancer therapy
- quantum dots
- artificial intelligence
- oxidative stress
- computed tomography
- sensitive detection
- patient reported
- weight gain
- patient reported outcomes
- drug delivery
- tandem mass spectrometry