Hormone-responsive enhancer-activity maps reveal predictive motifs, indirect repression, and targeting of closed chromatin.

Steroid hormones act as important developmental switches, and their nuclear receptors regulate many genes. However, few hormone-dependent enhancers have been characterized, and important aspects of their sequence architecture, cell-type-specific activating and repressing functions, or the regulatory roles of their chromatin structure have remained unclear. We used STARR-seq, a recently developed enhancer-screening assay, and ecdysone signaling in two different Drosophila cell types to derive genome-wide hormone-dependent enhancer-activity maps. We demonstrate that enhancer activation depends on cis-regulatory motif combinations that differ between cell types and can predict cell-type-specific ecdysone targeting. Activated enhancers are often not accessible prior to induction. Enhancer repression following hormone treatment seems independent of receptor motifs and receptor binding to the enhancer, as we show using ChIP-seq, but appears to rely on motifs for other factors, including Eip74. Our strategy is applicable to study signal-dependent enhancers for different pathways and across organisms.

Precise determination of input-output mapping for multimodal gene circuits using data from transient transfection.

The mapping of molecular inputs to their molecular outputs (input/output, I/O mapping) is an important characteristic of gene circuits, both natural and synthetic. Experimental determination of such mappings for synthetic circuits is best performed using stably integrated genetic constructs. In mammalian cells, stable integration of complex circuits is a time-consuming process that hampers rapid characterization of multiple circuit variants. On the other hand, transient transfection is quick. However, it is an extremely noisy process and it is unclear whether the obtained data have any relevance to the input/output mapping of a circuit obtained in the case of a stable integration. Here we describe a data processing workflow, Peakfinder algorithm for flow cytometry data (PFAFF), that allows extracting precise input/output mapping from single-cell protein expression data gathered by flow cytometry after a transient transfection. The workflow builds on the numerically-proven observation that the multivariate modes of input and output expression of multi-channel flow cytometry datasets, pre-binned by the expression level of an independent transfection reporter gene, harbor cells with circuit gene copy numbers distributions that depend deterministically on the properties of a bin. We validate our method by simulating flow cytometry data for seven multi-node circuit architectures, including a complex bi-modal circuit, under stable integration and transient transfection scenarios. The workflow applied to the simulated transient transfection data results in similar conclusions to those reached with simulated stable integration data. This indicates that the input/output mapping derived from transient transfection data using our method is an excellent approximation of the ground truth. Thus, the method allows to determine input/output mapping of complex gene network using noisy transient transfection data.

Quantification of Hydrochlorothiazide and Ramipril/Ramiprilate in Blood Serum and Cerebrospinal Fluid: A Pharmacokinetic Assessment of Central Nervous System Adverse Effects.

BACKGROUND: A drug must reach the central nervous system (CNS) in order to directly cause CNS adverse effects (AEs). Our current study addressed the pharmacokinetic (PK) background of the assumption that CNS concentrations of hydrochlorothiazide (HCT) and ramiprilate may directly cause CNS AEs such as headache and drowsiness. METHODS: In neurological patients, paired serum and cerebrospinal fluid (CSF) samples were withdrawn simultaneously. Some of them were treated with HCT (n = 15, daily chronic doses 7.5-25 mg) or ramipril (n = 9, 2.5-10 mg). Total concentrations of HCT and ramiprilate were quantified in these samples. To this end, sensitive liquid chromatography/tandem mass spectrometry methods were developed. RESULTS: CSF reached 4.1% (interquartile ranges 2.5-5%) of total serum concentrations for HCT and 2.3% (1.7-5.7%) for ramiprilate, corresponding to about 11.3% and 5.5% of respective unbound serum concentrations. CONCLUSION: The PK/Pharmacodynamic characteristics of HCT and ramiprilate in the CNS are unknown. However, since the CSF levels of these agents, both free and bound, were much lower than the corresponding concentrations in serum, it is unlikely that the observed CNS AEs are mediated primarily via direct effects in the brain.

Quantification of Bisoprolol and Metoprolol in Simultaneous Human Serum and Cerebrospinal Fluid Samples.

BACKGROUND: Bisoprolol and metoprolol are moderately lipophilic, beta(1)-selective betablockers reported to cause adverse effects in the central nervous system (CNS), such as sleep disturbance, suggesting that both drugs may reach relevant concentrations in the brain. CNS beta(2)-receptor blockade has been suspected to be related to such effects. The higher molecular size of bisoprolol (325 Dalton) and the higher beta(1)-selectivity compared to metoprolol (267 Dalton) would suggest a lower rate of CNS effects. METHODS: To address the pharmacokinetic background of this assumption, we quantified to which extent these beta(1)-blockers are able to enter the cerebrospinal fluid (CSF) in 9 (bisoprolol group) and 10 (metoprolol group) neurological patients who had received one of the drugs orally for therapeutic purposes prior to lumbar puncture. We quantified their total concentrations by liquid chromatography/tandem mass spectrometry in paired serum and CSF samples. RESULTS: Median (interquartile range) in CSF reached 55% (47-64%) of total serum concentrations for bisoprolol and 43% (27-81%) for metoprolol, corresponding to 78% (67-92%) and 48% (30-91%) of respective unbound serum concentrations. CONCLUSION: The extent of penetration of bisoprolol and metoprolol into the CSF is similar and compatible with the assumption that both drugs may exert direct effects in the CNS.

Comparison of Pantoprazole Concentrations in Simultaneous Cerebrospinal Fluid and Serum Samples.

BACKGROUND: Pantoprazole is a proton pump inhibitor drug mainly used for treating peptic diseases. Adverse effects of pantoprazole in the occasional central nervous system (CNS) include headache, vertigo and sleep disturbances. Data in rats suggest that proton pumps are expressed in the inner ear and in the epithelium of the choroid plexus, which would be a potential target to mediate such proton pump inhibitor effects. METHODS: To assess the distribution of pantoprazole into the human CNS despite its low lipophilicity (log p = 0.5), we quantified pantoprazole concentrations by liquid chromatography/tandem mass spectrometry in serum and cerebrospinal fluid retain samples withdrawn simultaneously. Twenty-six sample pairs were obtained from 23 neurological patients with therapeutic administration of pantoprazole prior to sampling. RESULTS: Median (interquartile range) serum concentration of total pantoprazole was 142 ng/ml (30.8-622). Cerebrospinal fluid concentration of total pantoprazole was 2.79 ng/ml (1.59-7.3) and reached 2.0% (1.0-4.5%) of simultaneous serum concentrations. CONCLUSION: This value corresponds to the unbound fraction of pantoprazole in serum reported previously and indicates that pantoprazole CNS concentrations are high enough to exert some effects on possible CNS targets.

Multiple Alternative Promoters and Alternative Splicing Enable Universal Transcription-Based Logic Computation in Mammalian Cells.

Multi-input logic gene circuits can enable sophisticated control of cell function, yet large-scale synthetic circuitry in mammalian cells has relied on post-transcriptional regulation or recombinase-triggered state transitions. Large-scale transcriptional logic, on the other hand, has been challenging to implement. Inspired by a naturally found regulatory strategy of using multiple alternative promoters, followed by alternative splicing, we developed a scalable and compact platform for transcriptional OR logic using inputs to those promoters. The platform is extended to implement disjunctive normal form (DNF) computations capable of implementing arbitrary logic rules. Specifically, AND logic is implemented at individual promoters using synergistic transcriptional inputs, and NOT logic via microRNA inputs targeting unique exon sequences driven by those promoters. Together, these regulatory programs result in DNF-like logic control of output gene expression. The approach offers flexibility for building complex logic programs in mammalian cells.

A Novel Study Design Using Continuous Intravenous and Intraduodenal Infusions of Midazolam and Voriconazole for Mechanistic Quantitative Assessment of Hepatic and Intestinal CYP3A Inhibition.

The extent of a drug-drug interaction (DDI) mediated by cytochrome P450 (CYP) 3A inhibitors is highly variable during a dosing interval, as it depends on the temporal course of victim and perpetrator drug concentrations at intestinal and hepatic CYP3A expression sites. Capturing the time course of inhibition is therefore difficult using standard DDI studies assessing changes in area under the curve; thus, a novel design was developed. In a 4-period changeover pilot study, 6 healthy men received intraduodenal or intravenous infusions of the CYP3A substrate midazolam (MDZ) at a rate of 0.26 mg/h for 24 hours. This was combined with intraduodenal or intravenous infusion of the CYP3A inhibitor voriconazole (VRZ), administered at rates of 7.5 mg/h from 8 to 16 hours and of 15 mg/h from 16 to 24 hours, after starting midazolam administration. Plasma and urine concentrations of VRZ, MDZ, and its major metabolites were quantified by liquid chromatography-tandem mass spectrometry and analyzed by semiphysiological population pharmacokinetic nonlinear mixed-effects modeling. A model including mechanism-based inactivation of the metabolizing enzymes (maximum inactivation rate constant kinact , 2.83 h-1 ; dissociation rate constant KI , 9.33 µM) described the pharmacokinetics of VRZ well. By introducing competitive inhibition by VRZ on primary and secondary MDZ metabolism, concentration-time profiles, MDZ and its metabolites were captured appropriately. The model provides estimates of local concentrations of substrate and inhibitor at the major CYP3A expression sites and thus of the respective dynamic extent of inhibition. A combination of intravenous and intraduodenal infusions of inhibitors and substrates has the potential to provide a more accurate assessment of DDIs occurring in both gut wall and liver.

Sorafenib and everolimus in patients with advanced solid tumors and KRAS-mutated NSCLC: A phase I trial with early pharmacodynamic FDG-PET assessment.

BACKGROUND: Treatment of patients with solid tumors and KRAS mutations remains disappointing. One option is the combined inhibition of pathways involved in RAF-MEK-ERK and PI3K-AKT-mTOR. METHODS: Patients with relapsed solid tumors were treated with escalating doses of everolimus (E) 2.5-10.0 mg/d in a 14-day run-in phase followed by combination therapy with sorafenib (S) 800 mg/d from day 15. KRAS mutational status was assessed retrospectively in the escalation phase. Extension phase included KRAS-mutated non-small-cell lung cancer (NSCLC) only. Pharmacokinetic analyses were accompanied by pharmacodynamics assessment of E by FDG-PET. Efficacy was assessed by CT scans every 6 weeks of combination. RESULTS: Of 31 evaluable patients, 15 had KRAS mutation, 4 patients were negative for KRAS mutation, and the KRAS status remained unknown in 12 patients. Dose-limiting toxicity (DLT) was not reached. The maximum tolerated dose (MTD) was defined as 7.5 mg/d E + 800 mg/d S due to toxicities at previous dose level (10 mg/d E + 800 mg/d S) including leucopenia/thrombopenia III° and pneumonia III° occurring after the DLT interval. The metabolic response rate in FDG-PET was 17% on day 5 and 20% on day 14. No patient reached partial response in CT scan. Median progression free survival (PFS) and overall survival (OS) were 3.25 and 5.85 months, respectively. CONCLUSIONS: Treatment of patients with relapsed solid tumors with 7.5 mg/d E and 800 mg/d S is safe and feasible. Early metabolic response in FDG-PET was not confirmed in CT scan several weeks later. The combination of S and E is obviously not sufficient to induce durable responses in patients with KRAS-mutant solid tumors.

Dosing to rash?--The role of erlotinib metabolic ratio from patient serum in the search of predictive biomarkers for EGFR inhibitor-mediated skin rash.

AIM: The aim of this study was to investigate if biomarkers of individual drug metabolism, respectively, the erlotinib/O-desmethyl-erlotinib metabolic ratio, may be a predictive factor for the severity of erlotinib-mediated skin rash in epidermal growth factor receptor (EGFR) inhibitor-treated patients suffering from epithelial cancers. This is especially important since it is known that the severity of skin rash has a prognostic value on outcome and survival in cancer patients experiencing skin rash under treatment with EGFR inhibitors. METHODS: From 2008 to 2014, 96 patients, n = 63 suffering from histologically confirmed non-small-cell lung cancer and n = 33 from pancreatic adenocarcinoma were observed for the occurrence and severity of skin rash after the onset of treatment with erlotinib. The primary end-points (occurrence and severity of skin rash, progression-free survival [PFS] and overall survival [OS]) were analysed with regard to erlotinib and its metabolite O-desmethyl-erlotinib trough serum concentrations measured at 4 weeks after onset of therapy by the use of correlation, multiple regression and survival analysis. RESULTS: Occurrence of skin rash was associated with PFS (p = 0.0042) and OS (p = 0.017) in the overall cohort of erlotinib-treated cancer patients. Drug-metabolising activity assessed by the erlotinib/O-desmethyl-erlotinib metabolic ratio was correlated with severity of skin rash (p = 0.023) and as well highly associated with both PFS (p = 2.1 × 10(-4)) and OS (p = 5.8 × 10(-5)). CONCLUSION: The erlotinib/O-desmethyl-erlotinib metabolic ratio reflecting the individual metabolic activity of erlotinib correlated with the severity of skin rash and outcome in patients treated with EGFR tyrosine kinase inhibitors. The metabolic ratio determined in serum may be used for therapeutic monitoring in erlotinib treatment and decisions on individual dosing to rash in rash-negative patients.

Hypoplastic thyroid, growth hormone deficiency, corneal opacities, cataract and hyperkeratotic skin disease: a possible new ichthyosis syndrome associated with endocrinopathies.

A 56 year old man presented with ichthyosis vulgaris since early childhood, clinically characterised by fine scaling of the trunk and hyperkeratotic scales on the exterior surfaces of the upper and lower extremities. The patient also showed hypothyroidism due to hypoplastic thyroid, cataract, hypercholesterinemia with concommitant arcus cornealis and biliary concrements. Renal lithiasis caused by calcio-oxalate was additionally present. Endocrinological screening revealed growth hormone deficiency in the 1.55 m tall man-(secondary) osteoporosis was observed. The clinical symptomatology indicates that this case cannot be considered as a subtype of the inherited ichthyosis group, but suggests a new syndrome as a separate nosologic entity.

Genome-wide quantitative enhancer activity maps identified by STARR-seq.

Genomic enhancers are important regulators of gene expression, but their identification is a challenge, and methods depend on indirect measures of activity. We developed a method termed STARR-seq to directly and quantitatively assess enhancer activity for millions of candidates from arbitrary sources of DNA, which enables screens across entire genomes. When applied to the Drosophila genome, STARR-seq identifies thousands of cell type-specific enhancers across a broad continuum of strengths, links differential gene expression to differences in enhancer activity, and creates a genome-wide quantitative enhancer map. This map reveals the highly complex regulation of transcription, with several independent enhancers for both developmental regulators and ubiquitously expressed genes. STARR-seq can be used to identify and quantify enhancer activity in other eukaryotes, including humans.