A blood-based biomarker panel for non-invasive diagnosis of metabolic dysfunction-associated steatohepatitis

The current diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) and its severe form, metabolic dysfunction-associated steatohepatitis (MASH), is suboptimal. Here, we recruited 700 individuals, including 184 from Hong Kong as a discovery cohort and 516 from San Diego, Wenzhou, and Hong Kong as three validation cohorts. A panel of 3 parameters (C-X-C motif chemokine ligand 10 [CXCL10], cytokeratin 18 fragments M30 [CK-18], and adjusted body mass index [BMI]) was formulated (termed N3-MASH), which discriminated patients with MASLD from healthy controls with an area under the receiver operating characteristic (AUROC) of 0.954. Among patients with MASLD, N3-MASH could identify patients with MASH with an AUROC of 0.823, achieving 90.0% specificity, 62.9% sensitivity, and 88.6% positive predictive value. The diagnostic performance of N3-MASH was confirmed in three validation cohorts with AUROC of 0.802, 0.805, and 0.823, respectively. Additionally, N3-MASH identifies patients with MASH improvement with an AUROC of 0.857. In summary, we developed a robust blood-based panel for the non-invasive diagnosis of MASH, which might help clinicians reduce unnecessary liver biopsies.

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Publication Details

Journal
Cell Metabolism
Published
2024-11-04
DOI
https://doi.org/10.1016/j.cmet.2024.10.008
Citations
44
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
17.01
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article

A blood-based biomarker panel for non-invasive diagnosis of metabolic dysfunction-associated steatohepatitis

Sherlot Juan Song, Hai‐Yang Yuan, Yufeng Lin, Ming‐Hua Zheng et al.
44 citations
Cell Metabolism
Liver Disease Diagnosis and Treatment
17.01
article

A blood-based biomarker panel for non-invasive diagnosis of metabolic dysfunction-associated steatohepatitis

Sherlot Juan Song, Hai‐Yang Yuan, Yufeng Lin, Ming‐Hua Zheng, Dabin Liu, Rohit Seth Loomba, Xiang Zhang, Harry Cheuk-Hay Lau, Hongyan Gou, Grace Lai–Hung Wong, Michael R. Berman, Eagle Siu‐Hong Chu, Jun Qing Yu, Ni Zhang, Dehua Liu, Vincent Wai‐Sun Wong, Seema Singh
article en
44 citations

Abstract

The current diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD) and its severe form, metabolic dysfunction-associated steatohepatitis (MASH), is suboptimal. Here, we recruited 700 individuals, including 184 from Hong Kong as a discovery cohort and 516 from San Diego, Wenzhou, and Hong Kong as three validation cohorts. A panel of 3 parameters (C-X-C motif chemokine ligand 10 [CXCL10], cytokeratin 18 fragments M30 [CK-18], and adjusted body mass index [BMI]) was formulated (termed N3-MASH), which discriminated patients with MASLD from healthy controls with an area under the receiver operating characteristic (AUROC) of 0.954. Among patients with MASLD, N3-MASH could identify patients with MASH with an AUROC of 0.823, achieving 90.0% specificity, 62.9% sensitivity, and 88.6% positive predictive value. The diagnostic performance of N3-MASH was confirmed in three validation cohorts with AUROC of 0.802, 0.805, and 0.823, respectively. Additionally, N3-MASH identifies patients with MASH improvement with an AUROC of 0.857. In summary, we developed a robust blood-based panel for the non-invasive diagnosis of MASH, which might help clinicians reduce unnecessary liver biopsies.

Cell MetabolismVol. 37(1)
Chinese University of Hong Kong (HK), Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), University of California San Diego (US), Chinese University of Hong Kong, Shenzhen (CN)
Zero hunger
Openalex Percentile: Top 1%
Liver Disease Diagnosis and Treatment
17.01
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