Development of a novel non-invasive biomarker panel for hepatic fibrosis in MASLD
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Development of a novel non-invasive biomarker panel for hepatic fibrosis in MASLD. / Verschuren, Lars; Mak, Anne Linde; van Koppen, Arianne; Özsezen, Serdar; Difrancesco, Sonia; Caspers, Martien P.M.; Snabel, Jessica; van der Meer, David; van Dijk, Anne Marieke; Rashu, Elias Badal; Nabilou, Puria; Werge, Mikkel Parsberg; van Son, Koen; Kleemann, Robert; Kiliaan, Amanda J.; Hazebroek, Eric J.; Boonstra, André; Brouwer, Willem P.; Doukas, Michail; Gupta, Saurabh; Kluft, Cornelis; Nieuwdorp, Max; Verheij, Joanne; Gluud, Lise Lotte; Holleboom, Adriaan G.; Tushuizen, Maarten E.; Hanemaaijer, Roeland.
I: Nature Communications, Bind 15, Nr. 1, 4564, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Development of a novel non-invasive biomarker panel for hepatic fibrosis in MASLD
AU - Verschuren, Lars
AU - Mak, Anne Linde
AU - van Koppen, Arianne
AU - Özsezen, Serdar
AU - Difrancesco, Sonia
AU - Caspers, Martien P.M.
AU - Snabel, Jessica
AU - van der Meer, David
AU - van Dijk, Anne Marieke
AU - Rashu, Elias Badal
AU - Nabilou, Puria
AU - Werge, Mikkel Parsberg
AU - van Son, Koen
AU - Kleemann, Robert
AU - Kiliaan, Amanda J.
AU - Hazebroek, Eric J.
AU - Boonstra, André
AU - Brouwer, Willem P.
AU - Doukas, Michail
AU - Gupta, Saurabh
AU - Kluft, Cornelis
AU - Nieuwdorp, Max
AU - Verheij, Joanne
AU - Gluud, Lise Lotte
AU - Holleboom, Adriaan G.
AU - Tushuizen, Maarten E.
AU - Hanemaaijer, Roeland
N1 - Publisher Copyright: © The Author(s) 2024.
PY - 2024
Y1 - 2024
N2 - Accurate non-invasive biomarkers to diagnose metabolic dysfunction-associated steatotic liver disease (MASLD)-related fibrosis are urgently needed. This study applies a translational approach to develop a blood-based biomarker panel for fibrosis detection in MASLD. A molecular gene expression signature identified from a diet-induced MASLD mouse model (LDLr−/−.Leiden) is translated into human blood-based biomarkers based on liver biopsy transcriptomic profiles and protein levels in MASLD patient serum samples. The resulting biomarker panel consists of IGFBP7, SSc5D and Sema4D. LightGBM modeling using this panel demonstrates high accuracy in predicting MASLD fibrosis stage (F0/F1: AUC = 0.82; F2: AUC = 0.89; F3/F4: AUC = 0.87), which is replicated in an independent validation cohort. The overall accuracy of the model outperforms predictions by the existing markers Fib-4, APRI and FibroScan. In conclusion, here we show a disease mechanism-related blood-based biomarker panel with three biomarkers which is able to identify MASLD patients with mild or advanced hepatic fibrosis with high accuracy.
AB - Accurate non-invasive biomarkers to diagnose metabolic dysfunction-associated steatotic liver disease (MASLD)-related fibrosis are urgently needed. This study applies a translational approach to develop a blood-based biomarker panel for fibrosis detection in MASLD. A molecular gene expression signature identified from a diet-induced MASLD mouse model (LDLr−/−.Leiden) is translated into human blood-based biomarkers based on liver biopsy transcriptomic profiles and protein levels in MASLD patient serum samples. The resulting biomarker panel consists of IGFBP7, SSc5D and Sema4D. LightGBM modeling using this panel demonstrates high accuracy in predicting MASLD fibrosis stage (F0/F1: AUC = 0.82; F2: AUC = 0.89; F3/F4: AUC = 0.87), which is replicated in an independent validation cohort. The overall accuracy of the model outperforms predictions by the existing markers Fib-4, APRI and FibroScan. In conclusion, here we show a disease mechanism-related blood-based biomarker panel with three biomarkers which is able to identify MASLD patients with mild or advanced hepatic fibrosis with high accuracy.
U2 - 10.1038/s41467-024-48956-0
DO - 10.1038/s41467-024-48956-0
M3 - Journal article
C2 - 38811591
AN - SCOPUS:85194898730
VL - 15
JO - Nature Communications
JF - Nature Communications
SN - 2041-1723
IS - 1
M1 - 4564
ER -
ID: 394438365