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Objectives
Liver biopsies are the current gold standard in non-alcoholic steatohepatitis (NASH) diagnosis. Their invasive nature, however, still carries an increased risk for patients' health. The development of non-invasive diagnostic tools to differentiate between bland steatosis (NAFL) and NASH remains crucial. The aim of this study is the evaluation of investigated circulating microRNAs in combination with new targets in order to optimize the discrimination of NASH patients by non-invasive serum biomarkers.
Methods
Serum profiles of four microRNAs were evaluated in two cohorts consisting of 137 NAFLD patients and 61 healthy controls. In a binary logistic regression model microRNAs of relevance were detected. Correlation of microRNA appearance with known biomarkers like ALT and CK18-Asp396 was evaluated. A simplified scoring model was developed, combining the levels of microRNA in circulation and CK18-Asp396 fragments. Receiver operating characteristics were used to evaluate the potential of discriminating NASH.
Results
The new finding of our study is the different profile of circulating miR-21 in NASH patients (p<0.0001). Also, it validates recently published results of miR-122 and miR-192 to be differentially regulated in NAFL and NASH. Combined microRNA expression profiles with CK18-Asp396 fragment level scoring model had a higher potential of NASH prediction compared to other risk biomarkers (AUROC = 0.83, 95% CI = 0.754-0.908; p<0.001). Evaluation of score model for NAFL (Score = 0) and NASH (Score = 4) had shown high rates of sensitivity (91%) and specificity (83%).
Conclusions
Our study defines candidates for a combined model of miRNAs and CK18-Asp396 levels relevant as a promising expansion for diagnosis and in turn treatment of NASH.
Background
Published models predicting nasal colonization with Methicillin-resistant Staphylococcus aureus among hospital admissions predominantly focus on separation of carriers from non-carriers and are frequently evaluated using measures of discrimination. In contrast, accurate estimation of carriage probability, which may inform decisions regarding treatment and infection control, is rarely assessed. Furthermore, no published models adjust for MRSA prevalence.
Methods
Using logistic regression, a scoring system (values from 0 to 200) predicting nasal carriage of MRSA was created using a derivation cohort of 3091 individuals admitted to a European tertiary referral center between July 2007 and March 2008. The expected positive predictive value of a rapid diagnostic test (GeneOhm, Becton & Dickinson Co.) was modeled using non-linear regression according to score. Models were validated on a second cohort from the same hospital consisting of 2043 patients admitted between August 2008 and January 2012. Our suggested correction score for prevalence was proportional to the log-transformed odds ratio between cohorts. Calibration before and after correction, i.e. accurate classification into arbitrary strata, was assessed with the Hosmer-Lemeshow-Test.
Results
Treating culture as reference, the rapid diagnostic test had positive predictive values of 64.8% and 54.0% in derivation and internal validation corhorts with prevalences of 2.3% and 1.7%, respectively. In addition to low prevalence, low positive predictive values were due to high proportion (> 66%) of mecA-negative Staphylococcus aureus among false positive results. Age, nursing home residence, admission through the medical emergency department, and ICD-10-GM admission diagnoses starting with “A” or “J” were associated with MRSA carriage and were thus included in the scoring system, which showed good calibration in predicting probability of carriage and the rapid diagnostic test’s expected positive predictive value. Calibration for both probability of carriage and expected positive predictive value in the internal validation cohort was improved by applying the correction score.
Conclusions
Given a set of patient parameters, the presented models accurately predict a) probability of nasal carriage of MRSA and b) a rapid diagnostic test’s expected positive predictive value. While the former can inform decisions regarding empiric antibiotic treatment and infection control, the latter can influence choice of screening method.
Das Mikromilieu solider Tumor (tumor mircoenvironment, TME) weist verschiedene Besonderheiten auf, von denen bekannt ist, dass sie zu Chemotherapieresistenz und Tumorprogression beitragen können. Neben der Extrazellulären Matrix (ECM), den cancer associated cells (CAC) und diversen Entzündungszellen tragen auch chemische und physikalische Besonderheiten (Hypoxie, Azidose, erhöhter Gewebedruck, oxidativer Stress und Nährstoffmangel) zu Tumorprogression und Chemotherapieresistenz bei. Zudem wissen wir, dass Hitzeschock-Proteine (HSPs), Toll-like Rezeptoren (TLRs) und ABC-Transporter mit erhöhter Chemotherapieresistenz und Tumorprogression im Pankreas- und Kolonkarzinom einhergehen.
Hier wurde untersucht, ob ein in vitro induzierter Nährstoffmangel im HT29 Kolonkarzinom, im Panc-1 Pankreaskarzinom und im MIA PaCa-2 Pankreaskarzinom zu einer gesteigerten Expression von HSP70, HSP90, MDR1, ABCB5 und TLR1 bis TLR10 auf mRNA und Proteinebene führt. Zudem wurde unter allen Versuchsbedingungen die Stoffwechselaktivität über einen MTS-Test gemessen. Der Nährstoffmangel wurde über die Kultivierung in einem Hybridomamedium, welches als proteinfreies Medium gilt und über die Kultivierung in einem serumfreien Medium induziert.
Es zeigte sich, dass insbesondere die entdifferenzierte Panc-1 Pankreaskarzinomzelllinie eine erhöhte Resistenz gegenüber dem induzierten Nährstoffmangel aufwies. Auf mRNA-Ebene zeigten sich bei allen drei Tumorzelllinien deutliche Expressionssteigerungen. Diese waren insbesondere im Hybridomamedium nachweisbar und traten beim HT29-Kolonkarzinom nach 48h und im Panc-1 Pankreaskarzinom bereits nach 24h auf. Besonders intensive Expressionssteigerungen konnten im HT29 Kolonkarzinom bei ABCB5, TLR7 und TLR9 nachgewiesen werden. Die Expression von MDR1 war insbesondere im MIA PaCa-2 Pankreaskarzinom gesteigert. Auf Proteinebene konnte im HT29 Kolonkarzinom eine Expressionssteigerung bei HSP90 und TLR6 nachgewiesen werden.
Die Ergebnisse lassen zwei Interpretationen zu. Zum einen könnte über den Nährstoffmangel eine aggressivere Subpopulation selektioniert worden sein. In diesem Zusammenhang konnten die Expressionsdaten des Tumorstammzellmarkers CD133 leider nicht ausgewertet werden. Alternativ kann angenommen werden, dass die untersuchten Tumorzelllinien ihren aggressiven Phänotyp erst unter Nährstoffmangelbedingungen, wie wir sie regelmäßig in soliden Tumoren finden, zur Expression bringen.
MYC paralogs are frequently activated in small cell lung cancer (SCLC) but represent poor drug targets. Thus, a detailed mapping of MYC-paralog-specific vulnerabilities may help to develop effective therapies for SCLC patients. Using a unique cellular CRISPR activation model, we uncover that, in contrast to MYCN and MYCL, MYC represses BCL2 transcription via interaction with MIZ1 and DNMT3a. The resulting lack of BCL2 expression promotes sensitivity to cell cycle control inhibition and dependency on MCL1. Furthermore, MYC activation leads to heightened apoptotic priming, intrinsic genotoxic stress and susceptibility to DNA damage checkpoint inhibitors. Finally, combined AURK and CHK1 inhibition substantially prolongs the survival of mice bearing MYC-driven SCLC beyond that of combination chemotherapy. These analyses uncover MYC-paralog-specific regulation of the apoptotic machinery with implications for genotype-based selection of targeted therapeutics in SCLC patients.