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result(s) for
"Ingelman-Sundberg Magnus"
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Impact of the novel CYP2C:TG haplotype and CYP2B6 variants on sertraline exposure in a large patient population
by
Kringen, Marianne Kristiansen
,
Ingelman‐Sundberg, Magnus
,
Jukic, Marin M.
in
Alleles
,
Antidepressants
,
Chromatography
2022
Sertraline is a commonly used SSRI antidepressant drug, metabolized by CYP2C19 and CYP2B6, that exhibits a substantial interindividual variation in clinical response, of which only a part can be attributed to known genetic variants. In the current study we have examined the role of a newly discovered ultrarapid CYP2C:TG haplotype and CYP2B6 variants in order to identify the possible missing heritability for such variation in sertraline response in a large patient population (n = 840). Compared to the reference group (CYP2C19*1/*1, n = 160), sertraline exposure was increased by 128% in CYP2C19 PMs (n = 29, p < 0.001) but decreased by about 20% in CYP2C19 ultrarapid metabolizers (Ums) (homozygous carriers of CYP2C19*17 and/or CYP2C:TG haplotype) with the diplotypes CYP2C19*17/*17, CYP2C:TG/TG, or CYP2C19*17/CYP2C:TG (n = 135, p < 0.003, p = 0.022, p < 0.003, respectively). Interestingly, in patients carrying the increased function CYP2B6*4 allele, and also carrying the CYP2C19*17 and CYP2C:TG alleles (n = 10), sertraline exposure was 35.4% lower compared to the reference group, whereas in subjects being poor metabolizers (PM) in both the CYP2C19 and CYP2B6 gene, the sertraline concentrations were raised by 189%. In summary, the CYP2C19 variants including the CYP2C:TG haplotype had a significant impact on sertraline metabolism, as well as the CYP2B6*4, *6, and *9 alleles. Knowing the CYP2B6 and CYP2C19 genotype, including the CYP2C:TG haplotype status, can prospectively be useful to clinicians in making more appropriate sertraline dosing decisions
Journal Article
A 3D Cell Culture Model Identifies Wnt/β‐Catenin Mediated Inhibition of p53 as a Critical Step during Human Hepatocyte Regeneration
by
Oliva‐Vilarnau, Nuria
,
Lauschke, Volker M.
,
Vorrink, Sabine U.
in
alternative splicing analysis
,
dedifferentiation
,
liver regeneration
2020
The liver is a highly regenerative organ. While mature hepatocytes under homeostatic conditions are largely quiescent, upon injury, they rapidly enter the cell cycle to recover the damaged tissue. In rodents, a variety of injury models have provided important insights into the molecular underpinnings that govern the proliferative activation of quiescent hepatocytes. However, little is known about the molecular mechanisms of human hepatocyte regeneration and experimental methods to expand primary human hepatocytes (PHH). Here, a 3D spheroid model of PHH is established to study hepatocyte regeneration and integrative time‐lapse multi‐omics analyses show that upon isolation from the native liver PHH acquire a regenerative phenotype, as seen in vivo upon partial hepatectomy. However, proliferation is limited. By analyzing global promoter motif activities, it is predicted that activation of Wnt/β‐catenin and inhibition of p53 signaling are critical factors required for human hepatocyte proliferation. Functional validations reveal that activation of Wnt signaling through external cues alone is sufficient to inhibit p53 and its proliferative senescence‐inducing target PAI1 (SERPINE1) and drive proliferation of >50% of all PHH. A scalable 3D culture model is established to study the molecular and cellular biology of human hepatocyte regeneration. By using this model, an essential role of Wnt/β‐catenin signaling during human hepatocyte regeneration is identified. This study reports an ex vivo model of human liver regeneration using a 3D organotypic culture system. Using in‐depth time‐lapse transcriptomic, proteomic, and transcription factor activity analyses, it is identified that Wnt/β‐catenin signaling acts as a central gatekeeper of human hepatocyte proliferation by modulating activity of the p53‐SERPINE1 axis.
Journal Article
Transcriptional and post-transcriptional regulation of the pregnane X receptor: a rationale for interindividual variability in drug metabolism
by
Pavek Petr
,
Hyrsova Lucie
,
Braeuning, Albert
in
Detoxification
,
Drug metabolism
,
Gene expression
2021
The pregnane X receptor (PXR, encoded by the NR1I2 gene) is a ligand-regulated transcription factor originally described as a master regulator of xenobiotic detoxification. Later, however, PXR was also shown to interact with endogenous metabolism and to be further associated with various pathological states. This review focuses predominantly on such aspects, currently less covered in literature, as the control of PXR expression per se in the context of inter-individual differences in drug metabolism. There is growing evidence that non-coding RNAs post-transcriptionally regulate PXR. Effects on PXR have especially been reported for microRNAs (miRNAs), which include miR-148a, miR-18a-5p, miR-140-3p, miR-30c-1-3p and miR-877-5p. Likewise, miRNAs control the expression of both transcription factors involved in PXR expression and regulators of PXR function. The impact of NR1I2 genetic polymorphisms on miRNA-mediated PXR regulation is also discussed. As revealed recently, long non-coding RNAs (lncRNAs) appear to interfere with PXR expression. Reciprocally, PXR activation regulates non-coding RNA expression, thus comprising another level of PXR action in addition to the direct transactivation of protein-coding genes. PXR expression is further controlled by several transcription factors (cross-regulation) giving rise to different PXR transcript variants. Controversies remain regarding the suggested role of feedback regulation (auto-regulation) of PXR expression. In this review, we comprehensively summarize the miRNA-mediated, lncRNA-mediated and transcriptional regulation of PXR expression, and we propose that deciphering the precise mechanisms of PXR expression may bridge our knowledge gap in inter-individual differences in drug metabolism and toxicity.
Journal Article
CYP2E1 in Alcoholic and Non-Alcoholic Liver Injury. Roles of ROS, Reactive Intermediates and Lipid Overload
by
Pridgeon, Chris S.
,
Ingelman-Sundberg, Magnus
,
Harjumäki, Riina
in
Alcoholism
,
Binding sites
,
Carbon
2021
CYP2E1 is one of the fifty-seven cytochrome P450 genes in the human genome and is highly conserved. CYP2E1 is a unique P450 enzyme because its heme iron is constitutively in the high spin state, allowing direct reduction of, e.g., dioxygen, causing the formation of a variety of reactive oxygen species and reduction of xenobiotics to toxic products. The CYP2E1 enzyme has been the focus of scientific interest due to (i) its important endogenous function in liver homeostasis, (ii) its ability to activate procarcinogens and to convert certain drugs, e.g., paracetamol and anesthetics, to cytotoxic end products, (iii) its unique ability to effectively reduce dioxygen to radical species causing liver injury, (iv) its capability to reduce compounds, often generating radical intermediates of direct toxic or indirect immunotoxic properties and (v) its contribution to the development of alcoholic liver disease, steatosis and NASH. In this overview, we present the discovery of the enzyme and studies in humans, 3D liver systems and genetically modified mice to disclose its function and clinical relevance. Induction of the CYP2E1 enzyme either by alcohol or high-fat diet leads to increased severity of liver pathology and likelihood to develop ALD and NASH, with subsequent influence on the occurrence of hepatocellular cancer. Thus, fat-dependent induction of the enzyme might provide a link between steatosis and fibrosis in the liver. We conclude that CYP2E1 has many important physiological functions and is a key enzyme for hepatic carcinogenesis, drug toxicity and liver disease.
Journal Article
Evidence-based selection of training compounds for use in the mechanism-based integrated prediction of drug-induced liver injury in man
by
Gerets, Helga H.
,
Juhila, Satu
,
Weaver, Richard J.
in
Adaptive Immunity - drug effects
,
Animals
,
Artificial Intelligence
2016
The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced liver injury (DILI). The ‘MIP-DILI’ project addresses this situation by the development of innovative preclinical test systems which are both mechanism-based and of physiological, pharmacological and pathological relevance to DILI in humans. An iterative, tiered approach with respect to test compounds, test systems, bioanalysis and systems analysis is adopted to evaluate existing models and develop new models that can provide validated test systems with respect to the prediction of specific forms of DILI and further elucidation of mechanisms. An essential component of this effort is the choice of compound training set that will be used to inform refinement and/or development of new model systems that allow prediction based on knowledge of mechanisms, in a tiered fashion. In this review, we focus on the selection of MIP-DILI training compounds for mechanism-based evaluation of non-clinical prediction of DILI. The selected compounds address both hepatocellular and cholestatic DILI patterns in man, covering a broad range of pharmacologies and chemistries, and taking into account available data on potential DILI mechanisms (e.g. mitochondrial injury, reactive metabolites, biliary transport inhibition, and immune responses). Known mechanisms by which these compounds are believed to cause liver injury have been described, where many if not all drugs in this review appear to exhibit multiple toxicological mechanisms. Thus, the training compounds selection offered a valuable tool to profile DILI mechanisms and to interrogate existing and novel in vitro systems for the prediction of human DILI.
Journal Article
A Long‐Term Human Liver Spheroid Model for Assessing Silencing and Durability of GalNAc‐Conjugated siRNAs
by
Nordling, Åsa
,
Sadhasivam, Lingheswar
,
Scholten, Gijs‐Jan
in
Acetylgalactosamine - chemistry
,
Animal models
,
Animals
2026
Advances in RNA interference technology have established it as a powerful therapeutic tool with important future potential. The design and the chemical modifications of the siRNA nucleotide backbone have greatly enhanced stability, durability, and pharmacokinetics while minimizing tolerability risks. The optimal combination of these modifications depends on the target gene, tissue, and RNA sequence, necessitating an iterative, experimental approach that currently relies heavily on animal models. To reduce the reliance and number of (humanized) animals required, we developed a human long‐term liver 3D spheroid model designed for screening GalNAc‐conjugated siRNAs which captures the process of uptake, potency, and durability for early in vitro screening. These liver spheroids remain viable in culture for at least 5 weeks while maintaining expression of the asialoglycoprotein receptor to facilitate GalNAc mediated uptake. siRNA was efficiently internalized by the spheroids without the need for transfection reagents, and its durable silencing efficiency was assessed by monitoring AHSA1 target gene expression over time. Target gene silencing in the spheroid model persisted up to 5 weeks post‐treatment. Fluorescently labeled siRNA enabled visualization of uptake and distribution within the spheroid, revealing somewhat reduced siRNA accumulation in pericentral CYP3A4+ hepatocytes accompanied with somewhat reduced ASGR1 expression. No signs of hepatotoxicity were observed under the conditions used. By varying the number of phosphorothioate modifications in the siRNA backbone, distinct differences in silencing efficiency and durability were observed which were principally similar as obtained in vivo in mice. We propose that this long‐term human liver spheroid model provides a valuable preclinical platform for evaluating siRNA‐based therapeutics with respect to uptake, durability, and silencing efficiency, and could refine early in vitro screening and accelerate drug development. Study Highlights What is the current knowledge on the topic? ○Chemical modifications to the siRNA backbone are essential for enhancing molecular stability, reducing immunogenicity, increasing resistance to enzymatic degradation, and minimizing toxicity. ○Such modifications are pivotal for optimizing siRNA performance in therapeutic settings. ○However, despite growing interest in siRNA‐based therapeutics, no long‐term in vitro model exists to evaluate silencing efficiency and durability. ○As a result, preclinical development still relies heavily on humanized mouse models. What question did this study address? ○Can the human liver spheroids be used as an in vitro model to evaluate the effect of backbone modifications of the GalNAc‐conjugated siRNA on the silencing efficiency and durability? What does this study add to our knowledge? ○We present a new human spheroid model for assignment of the properties of structurally different GalNAc‐conjugated siRNA molecules. ○The spheroids were maintained in culture for up to 5 weeks while retaining expression of the asialoglycoprotein receptor. ○These spheroids can be directly treated with GalNAc‐conjugated siRNA without the need for transfection reagents, enabling sustained target gene silencing to be monitored over the entire five‐week period. ○Using fluorescently labeled siRNA, intracellular trafficking was visualized, revealing heterogeneity in hepatocyte uptake capacity. ○Moreover, the model enabled clear discrimination of silencing performance across five distinct siRNA backbones. How might this change clinical pharmacology or translational science? ○This study shows that human liver spheroids provide a robust, scalable platform for evaluating GalNAc‐conjugated siRNA therapeutics. ○The model offers a valuable tool for early‐stage compound selection, potentially accelerating screening workflows and reducing reliance on animal models in preclinical development.
Journal Article
Impact of NFIB and CYP1A variants on clozapine serum concentration—A retrospective naturalistic cohort study on 526 patients with known smoking habits
by
Jukić, Marin M.
,
O'Connell, Kevin S.
,
Andreassen, Ole A.
in
Antipsychotic Agents - therapeutic use
,
Antipsychotics
,
Clozapine
2023
Clinical response of clozapine is closely associated with serum concentration. Although tobacco smoking is the key environmental factor underlying interindividual variability in clozapine metabolism, recent genome‐wide studies suggest that CYP1A and NFIB genetic variants may also be of significant importance, but their quantitative impact is unclear. We investigated the effects of the rs2472297 C>T (CYP1A) and rs28379954 T>C (NFIB) polymorphisms on serum concentrations in smokers and nonsmokers. The study retrospectively included 526 patients with known smoking habits (63.7% smokers) from a therapeutic drug monitoring service in Norway. Clozapine dose‐adjusted concentrations (C/D) and patient proportions with subtherapeutic levels (<1070 nmol/L) were compared between CYP1A/NFIB variant allele carriers and homozygous wild‐type carriers (noncarriers), in both smokers and nonsmokers. Clozapine C/D was reduced in patients carrying CYP1A‐T and NFIB‐C variants versus noncarriers, both among smokers (−48%; p < 0.0001) and nonsmokers (−35%; p = 0.028). Patients who smoke carrying CYP1A‐T and NFIB‐C variants had a 66% reduction in clozapine C/D versus nonsmoking noncarriers (p < 0.0001). The patient proportion with subtherapeutic levels was 2.9‐fold higher in patients who smoke carrying NFIB‐C and CYP1A‐T variants versus nonsmoking noncarriers (p < 0.0001). In conclusion, CYP1A and NFIB variants have significant and additive impact on clozapine dose requirements for reaching target serum concentrations. Patients who smoke carrying the studied CYP1A and NFIB variants, comprising 2.5% of the study population, may need threefold higher doses to prevent risk of clozapine undertreatment. The results suggest that pre‐emptive genotyping of NFIB and CYP1A may be utilized to guide clozapine dosing and improve clinical outcomes in patients with treatment‐resistant schizophrenia.
Journal Article
Effect of the NFIB rs28379954 T>C polymorphism on CYP2D6‐catalyzed metabolism of solanidine
by
Smith, Robert Løvsletten
,
Størset, Elisabet
,
O'Connell, Kevin S.
in
Biomarkers
,
Chromatography
,
CYP2D6 protein
2024
Cytochrome P450 2D6 (CYP2D6) is important for metabolism of 20%–25% of all clinically used drugs. Many known genetic variants contribute to the large interindividual variability in CYP2D6 metabolism, but much is still unexplained. We recently described that nuclear factor 1B (NFIB) regulates hepatic CYP2D6 expression with the minor allele of NFIB rs28379954 T>C significantly increasing CYP2D6‐mediated risperidone metabolism. In this study, we investigated the effect of NFIB T>C on metabolism of solanidine, a dietary CYP2D6 substrate. Analyses of solanidine and metabolites (M414, M416, and M444) were performed by ultra‐high performance liquid chromatography‐high‐resolution mass spectrometry in a cohort of 463 CYP2D6‐genotyped patients of which with 58 (12.5%) carried NFIB TC (n = 56) or CC (n = 2). Increased metabolism of solanidine was found in CYP2D6 normal metabolizers (NMs; n = 258, 55.7%) carrying the NFIB C variant (n = 27, 5.8%) with 2.83‐ and 3.38‐fold higher M416‐to‐solanidine (p = 0.039) and M444‐to‐solanidine (p = 0.046) ratios, respectively, whereas this effect was not significant among intermediate metabolizers (n = 166, 35.9%) (p ≥ 0.09). Importantly, no effect of the NFIB polymorphism on solanidine metabolism was seen in TC or CC carriers lacking CYP2D6 activity (poor metabolizers, n = 30, 6.5%, p ≥ 0.74). Furthermore, the NFIB polymorphism significantly explained variability in solanidine metabolism (M414 p = 0.013, M416 p = 0.020, and M416 and M444 p = 0.009) in multiple linear regression models for each metabolic ratio in the entire population, correcting for covariates (including CYP2D6 genotypes). Thus, the study confirms the effect of NFIB in regulating CYP2D6 activity, suggesting an about 200% increase in CYP2D6‐mediated clearance in NMs being NFIB CT or CC carriers, comprising around 6% of Europeans.
Journal Article
Integrating rare genetic variants into pharmacogenetic drug response predictions
by
Ingelman-Sundberg, Magnus
,
Zhou, Yitian
,
Mkrtchian, Souren
in
ADME genes
,
Algorithms
,
Bioinformatics
2018
Background
Variability in genes implicated in drug pharmacokinetics or drug response can modulate treatment efficacy or predispose to adverse drug reactions. Besides common genetic polymorphisms, recent sequencing projects revealed a plethora of rare genetic variants in genes encoding proteins involved in drug metabolism, transport, and response.
Results
To understand the global importance of rare pharmacogenetic gene variants, we mapped the variability in 208 pharmacogenes by analyzing exome sequencing data from 60,706 unrelated individuals and estimated the importance of rare and common genetic variants using a computational prediction framework optimized for pharmacogenetic assessments. Our analyses reveal that rare pharmacogenetic variants were strongly enriched in mutations predicted to cause functional alterations. For more than half of the pharmacogenes, rare variants account for the entire genetic variability. Each individual harbored on average a total of 40.6 putatively functional variants, rare variants accounting for 10.8% of these. Overall, the contribution of rare variants was found to be highly gene- and drug-specific. Using warfarin, simvastatin, voriconazole, olanzapine, and irinotecan as examples, we conclude that rare genetic variants likely account for a substantial part of the unexplained inter-individual differences in drug metabolism phenotypes.
Conclusions
Combined, our data reveal high gene and drug specificity in the contributions of rare variants. We provide a proof-of-concept on how this information can be utilized to pinpoint genes for which sequencing-based genotyping can add important information to predict drug response, which provides useful information for the design of clinical trials in drug development and the personalization of pharmacological treatment.
Journal Article
Human hepatic 3D spheroids as a model for steatosis and insulin resistance
2018
Non-alcoholic fatty liver disease (NAFLD) has emerged as a public health concern as reflected in its widespread distribution in the general population. Yet, treatment options are scarce which is at least in part due to lack of reliable human
in vitro
disease models. Here, we report a human hepatic 3D spheroid system cultured under defined chemical conditions that has the potential to mimic steatotic conditions in a reversible manner, useful for identification of novel drug treatment conditions. Primary human hepatocytes (PHH) from different donors were cultured as spheroid microtissues in physiological
in vivo -
like culture conditions. Hepatic steatosis was induced over the course of three weeks in culture by supplementing the culture medium with pathophysiological concentrations of free fatty acids, carbohydrates and insulin. Effects of steatosis in the 3D system were evaluated on transcriptional, metabolomic and lipidomic levels. Free fatty acids on one hand as well as a combination of insulin and monosaccharides, promoted lipid accumulation in hepatocytes and increased expression of lipogenic genes, such as fatty acid synthase. This milieu also promoted development of insulin resistance within 2 weeks as manifested by an increase in gluconeogenic and insulin resistance markers, which are observed in type 2 diabetes mellitus and metabolic syndrome. Induced steatosis was reversible after withdrawal of lipogenic substrates and a further reduction in cellular fat content was observed following treatment with different antisteatotic compounds, such as metformin, glucagon, olaparib and antioxidants. Taken together, these results demonstrate that the 3D hepatic spheroids can serve as a valuable, HTS compatible model for the study of liver steatosis and facilitate translational discovery of novel drug targets.
Journal Article