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Stål, Per

https://orcid.org/0000-0003-2915-1964

Mayo Clinic

Karolinska University Hospital

Citations 4

Association of Epigenetic Aging Biomarkers With Risk of MASLD ‐Related HCC
Perkin, Alani, Armasu, Sebastian M. , Fan, Winnie Z. , Yalley, Naana N. , Ahmed, Fowsiyo , Boix, Loreto , Bañales, Jesús M. , Reig, María , Roberts, Lewis R. , Wangensteen, Kirk J. , Berglund, Anders , Antwi, Samuel O. , Yan, Irene K. , Ahmed, Fowsiyo Y , Banales, Jesus M , Romero-Gómez, Manuel , Singal, Amit , Roberts, Lewis R , Antwi, Samuel O , Berglund, Anders E , Wangensteen, Kirk J , Reig, Maria , Izquierdo‐Sánchez, Laura , Rojas, Ángela , Stål, Per , Singal, Amit G. , Patel, Tushar P

Liver International | November 29, 2025 | Volume: 46 | Issue: 1 | Pages: No page available

10.1111/liv.70464 Get It

ABSTRACT Introduction Hepatocellular carcinoma (HCC) development in patients with metabolic dysfunction‐associated steatotic liver disease (MASLD) is a growing health concern, but the underlying mechanisms are not fully understood. Epigenetic aging biomarkers, reflecting cellular and tissue aging, have been linked to various age‐related pathologies, but their association with MASLD‐HCC is unknown. We investigated associations between five epigenetic aging biomarkers and MASLD‐HCC risk. Methods We performed whole blood DNA methylation assay (Infinium 850k array) and calculated principal components‐based (PC) versions of HorvathAge, HannumAge, PhenoAge and GrimAge and the DunedinPACE aging rate. We further calculated relative age accelerations for PCHorvathAge, PCHannumAge, PCPhenoAge and PCGrimAge. The aging biomarkers were modelled as continuous variables and categorised into tertiles based on distributions among controls. Associations between each aging biomarker and MASLD‐HCC were examined using logistic regression, calculating odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for covariates. Results Data on 272 MASLD‐HCC cases and 316 cancer‐free MASLD controls recruited from six sites and matched on chronological age, sex and study site were analysed. Higher relative age accelerations of PCPhenoAge (OR T3 vs. T1 = 2.25, 95% CI: 1.45–3.50; OR continuous = 1.04, 95% CI: 1.02–1.07, p = 0.009), PCGrimAge (OR T3 vs. T1 = 3.97, 95% CI: 2.41–6.64; OR continuous = 1.16, 95% CI: 1.10–1.24, p = 8.76 × 10 −07 ) and DunedinPACE (OR T3 vs. T1 = 3.45, 95% CI: 2.17–5.55; OR continuous = 1.72, 95% CI: 1.43–2.10, p = 2.58 × 10 −08 ) were associated with MASLD‐HCC, but not PCHorvathAge or PCHannumAge. Conclusion Higher relative age accelerations of PCPhenoAge, PCGrimAge and DunedinPACE aging rate are associated with risk of MASLD‐HCC. These aging biomarkers could improve HCC risk assessment and facilitate risk stratification in patients with MASLD.
Associations of S-Adenosylmethionine and S-Adenosylhomocysteine with Hepatocellular Carcinoma
Yalley, Naana N. , Armasu, Sebastian M. , Fan, Winnie Z. , Ahmed, Fowsiyo , Stål, Per , Roberts, Lewis R. , Antwi, Samuel O. , Yan, Irene K. , Ahmed, Fowsiyo Y, Stål, Per , Roberts, Lewis R , Patel, Tushar , Antwi, Samuel O , Patel, Tushar

Metabolites | November 14, 2025 | Volume: 15 | Issue: 11 | Pages: 740

10.3390/metabo15110740 Get It

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, increasingly arising in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). Epigenetic dysregulation, particularly DNA methylation, has been implicated in MASLD-HCC development, yet the roles that the principal DNA methylation precursor metabolites, S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH), play in this association are unclear. Objective: We investigated associations of circulating SAM, SAH, the SAM/SAH ratio, with MASLD-HCC. Methods: In a multi-center pilot case–control study, we evaluated 69 MASLD-HCC cases and 136 cancer-free MASLD controls. Plasma SAM and SAH levels were quantified by liquid chromatography–tandem mass spectrometry. Metabolite levels were categorized as greater than or less than the median based on distribution in controls. Logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for age, sex, body mass index, smoking status, and type 2 diabetes. Results: MASLD-HCC cases had significantly higher plasma SAM levels (mean 121 vs. 96 nmol/L; p = 0.001) and SAM/SAH ratios (2.09 vs. 1.48; p = 6.42 × 10−7) than MASLD controls. In multivariable-adjusted models, elevated SAM levels (OR≥median vs. <median = 2.76; 95% CI: 1.38–5.72) and higher SAM/SAH ratio (OR≥median vs. <median = 2.30; 95% CI: 1.15–4.73) were associated with higher odds of MASLD-HCC. SAH alone was associated with MASLD-HCC. Conclusions: Higher plasma SAM levels and SAM/SAH ratios are independently linked to MASLD-HCC development. These metabolites might serve as noninvasive markers for HCC risk stratification in patients with MASLD and improve early detection efforts for MASLD-HCC.
Metabolic liver cancer: associations of rare and common germline variants in one-carbon metabolism and DNA methylation genes
Antwi, Samuel O. , White, Launia J. , Sarangi, Vivekananda , Lauer, Kimberly P. , Reddy, Joseph S. , Ahmed, Fowsiyo , Veliginti, Swathi , Febres, Ellis D Mejías, Hatia, Rikita , Chang, Ping , Izquierdo‐Sánchez, Laura , Boix, Loreto , Reig, María , Li, Donghui , Hassan, Manal M. , Roberts, Lewis R. , White, Launia, Yan, Irene, Hatia, Rikita I , Roberts, Lewis R , Antwi, Samuel O , Reig, Maria , Heckman, Michael G. , Yan, Irene K. , Rojas, Ángela , Bañales, Jesús M. , Stål, Per , Romero-Gómez, Manuel , Singal, Amit G. , Patel, Tushar

Human Molecular Genetics | June 27, 2023 | Volume: 32 | Issue: 16 | Pages: 2646-2655

10.1093/hmg/ddad099 Get It

Abstract Animal studies implicate one-carbon metabolism and DNA methylation genes in hepatocellular carcinoma (HCC) development in the setting of metabolic perturbations. Using human samples, we investigated the associations between common and rare variants in these closely related biochemical pathways and risk for metabolic HCC development in a multicenter international study. We performed targeted exome sequencing of 64 genes among 556 metabolic HCC cases and 643 cancer-free controls with metabolic conditions. Multivariable logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs), adjusting for multiple comparisons. Gene-burden tests were used for rare variant associations. Analyses were performed in the overall sample and among non-Hispanic whites. The results show that among non-Hispanic whites, presence of rare functional variants in ABCC2 was associated with 7-fold higher risk of metabolic HCC (OR = 6.92, 95% CI: 2.38–20.15, P = 0.0004), and this association remained significant when analyses were restricted to functional rare variants observed in ≥2 participants (cases 3.2% versus controls 0.0%, P = 1.02 × 10−5). In the overall multiethnic sample, presence of rare functional variants in ABCC2 was nominally associated with metabolic HCC (OR = 3.60, 95% CI: 1.52–8.58, P = 0.004), with similar nominal association when analyses were restricted to functional rare variants observed in ≥2 participants (cases 2.9% versus controls 0.2%, P = 0.006). A common variant in PNPLA3 (rs738409[G]) was associated with higher HCC risk in the overall sample (P = 6.36 × 10−6) and in non-Hispanic whites (P = 0.0002). Our findings indicate that rare functional variants in ABCC2 are associated with susceptibility to metabolic HCC in non-Hispanic whites. PNPLA3-rs738409 is also associated with metabolic HCC risk.
Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: Systematic review and meta‐analysis
Dulai, Parambir S. , Singh, Siddharth , Patel, Janki , Soni, Meera, Younossi, Zobair M. , Sebastiani, Giada , Ekstedt, Mattias , Hagström, Hannes , Stål, Per , Hultcrantz, Rolf, Loomba, Rohit , Prokop, Larry J. , Nasr, Patrik , Wong, Vincent Wai‐Sun , Kechagias, Stergios , Loomba, Rohit , Hagström, Hannes , Stål, Per

Hepatology | January 28, 2017 | Volume: 65 | Issue: 5 | Pages: 1557-1565

10.1002/hep.29085 Get It

Liver fibrosis is the most important predictor of mortality in nonalcoholic fatty liver disease (NAFLD). Quantitative risk of mortality by fibrosis stage has not been systematically evaluated. We aimed to quantify the fibrosis stage–specific risk of all‐cause and liver‐related mortality in NAFLD. Through a systematic review and meta‐analysis, we identified five adult NAFLD cohort studies reporting fibrosis stage–specific mortality (0‐4). Using fibrosis stage 0 as a reference population, fibrosis stage–specific mortality rate ratios (MRRs) with 95% confidence intervals (CIs) for all‐cause and liver‐related mortality were estimated. The study is reported according to the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses statement. Included were 1,495 NAFLD patients with 17,452 patient years of follow‐up. Compared to NAFLD patients with no fibrosis (stage 0), NAFLD patients with fibrosis were at an increased risk for all‐cause mortality, and this risk increased with increases in the stage of fibrosis: stage 1, MRR = 1.58 (95% CI 1.19‐2.11); stage 2, MRR = 2.52 (95% CI 1.85‐3.42); stage 3, MRR = 3.48 (95% CI 2.51‐4.83); and stage 4, MRR = 6.40 (95% CI 4.11‐9.95). The results were more pronounced as the risk of liver‐related mortality increased exponentially with each increase in the stage of fibrosis: stage 1, MRR = 1.41 (95% CI 0.17‐11.95); stage 2, MRR = 9.57 (95% CI 1.67‐54.93); stage 3, MRR = 16.69 (95% CI 2.92‐95.36); and stage 4, MRR = 42.30 (95% CI 3.51‐510.34). Limitations of the study include an inability to adjust for comorbid conditions or demographics known to impact fibrosis progression in NAFLD and the inclusion of patients with simple steatosis and nonalcoholic steatohepatitis without fibrosis in the reference comparison group. Conclusion: The risk of liver‐related mortality increases exponentially with increase in fibrosis stage; these data have important implications in assessing the utility of each stage and benefits of regression of fibrosis from one stage to another. (H epatology 2017;65:1557‐1565).