In vitro to in vivo extrapolation and high-content imaging for simultaneous characterization of chemically induced liver steatosis and markers of hepatotoxicity.

Chemically induced steatosis is characterized by lipid accumulation associated with mitochondrial dysfunction, oxidative stress and nucleus distortion. New approach methods integrating in vitro and in silico models are needed to identify chemicals that may induce these cellular events as potential risk factors for steatosis and associated hepatotoxicity. In this study we used high-content imaging for the simultaneous quantification of four cellular markers as sentinels for hepatotoxicity and steatosis in chemically exposed human liver cells in vitro. Furthermore, we evaluated the results with a computational model for the extrapolation of human oral equivalent doses (OED). First, we tested 16 reference chemicals with known capacities to induce cellular alterations in nuclear morphology, lipid accumulation, mitochondrial membrane potential and oxidative stress. Then, using physiologically based pharmacokinetic modeling and reverse dosimetry, OEDs were extrapolated from data of any stimulated individual sentinel response. The extrapolated OEDs were confirmed to be within biologically relevant exposure ranges for the reference chemicals. Next, we tested 14 chemicals found in food, selected from thousands of putative chemicals on the basis of structure-based prediction for nuclear receptor activation. Amongst these, orotic acid had an extrapolated OED overlapping with realistic exposure ranges. Thus, we were able to characterize known steatosis-inducing chemicals as well as data-scarce food-related chemicals, amongst which we confirmed orotic acid to induce hepatotoxicity. This strategy addresses needs of next generation risk assessment and can be used as a first chemical prioritization hazard screening step in a tiered approach to identify chemical risk factors for steatosis and hepatotoxicity-associated events.

Quality of life in patients with statin intolerance: a multicentre prospective registry study.

Background: Statin intolerance is associated with increased cardiovascular risk. Symptoms and patients' characteristics are incompletely known. We aimed to analyse the health-related quality of life (QOL) associated with statin intolerance. Methods: The Statin Intolerance Registry (SIR) is an observational, prospective, multicentre study that included 1111 patients, with intolerance to at least two different statins, between 2021 and 2023 in Germany. SIR baseline data were compared to individuals with and without statin therapy of the population-based LIFE-Adult Study (n = 9983). Findings: The mean age in SIR was 66.1 years (standard deviation (SD) 9.9). The cohort was characterized by a higher proportion of women compared to patients on statins in LIFE-Adult (57.7% vs. 38.2%). SIR patients had impaired QOL (mean EQ VAS score of 64.9 (SD 18.1)) as measured by EuroQol (EQ-5D-5L)), which further deteriorated with age. Muscle symptoms were frequent (95.8%) and were associated with severe pain in 43.2% and intake of pain medication in 32.3% of statin intolerant patients. 10.3% had a diagnosis of depression. Women reported more pronounced symptoms than men. A data-driven k-means analysis, based on variables predicting severity of pain while on statin therapy, identified five clusters of SIR patients. The clusters differed in sex, prevalence of depression, QOL, comorbidities, and expectations to tolerate statin therapy. Interpretation: Statin intolerance is associated with impaired QOL. Women are more frequently and severely affected. The identified clusters may help to identify patients at risk and to develop individualized strategies to improve patient trajectories and outcomes. Funding: Leipzig University, research grants from Daiichi Sankyo, Novartis, and Amgen to Leipzig University.