Colonoscopy and chromoscopy in hereditary colorectal cancer syndromes

With hereditary colorectal cancer prevention studies it is difficult to demonstrate reduced mortality. Large populations are needed with well characterized genetics followed over a long period of time. Those studies do exist for standard white light colonoscopy surveillance in Lynch syndrome, but not for newer technologies including chromoscopy. For these newer technologies adenoma detection rate becomes the stand-in for mortality, and the assumption is made that surveillance efficacy impacts cancer occurrence. Though well-designed and important work exists in this area, the data do not support firm conclusions regarding the use of chromoscopy in Lynch syndrome.     

Targeting P-glycoprotein expression and cancer cell energy metabolism: combination of metformin and 2-deoxyglucose reverses the multidrug resistance of K562/Dox cells to doxorubicin

P-glycoprotein (P-gp) is one of the major obstacles to efficiency of cancer chemotherapy. Here, we investigated whether combination of metformin and 2-deoxyglucose reverses the multidrug resistance (MDR) of K562/Dox cells and tried to elucidate the possible mechanisms. The combination of metformin and 2-deoxyglucose selectively enhanced the cytotoxicity of doxorubicin against K562/Dox cells. Metformin was not a substrate of P-gp but suppressed the elevated level of P-gp in K562/Dox cells. The downregulation of P-gp may be partly attributed to the inhibition of extracellular signal-regulated kinase pathway. The addition of 2-deoxyglucose to metformin initiated a strong metabolic stress in both K562 and K562/Dox cells. Combination of metformin and 2-deoxyglucose inhibited glucose uptake and lactate production in K562 and K562/Dox cells leading to a severe depletion in ATP and a enhanced autophagy. Above all, P-gp substrate selectively aggravated this ATP depletion effect and increased cell apoptosis in K562/Dox cells. In conclusion, metformin decreases P-gp expression in K562/Dox cells via blocking phosphorylation of extracellular signal-regulated kinase. P-gp substrate increases K562/Dox cell apoptosis via aggravating ATP depletion induced by combination of metformin and 2-deoxyglucose. Our observations highlight the importance of combination of metformin and 2-deoxyglucose in reversing multidrug resistance.     

Understanding and reducing complex systems pharmacology models based on a novel input–response index

A growing understanding of complex processes in biology has led to large-scale mechanistic models of pharmacologically relevant processes. These models are increasingly used to study the response of the system to a given input or stimulus, e.g., after drug administration. Understanding the input–response relationship, however, is often a challenging task due to the complexity of the interactions between its constituents as well as the size of the models. An approach that quantifies the importance of the different constituents for a given input–output relationship and allows to reduce the dynamics to its essential features is therefore highly desirable. In this article, we present a novel state- and time-dependent quantity called the input–response index that quantifies the importance of state variables for a given input–response relationship at a particular time. It is based on the concept of time-bounded controllability and observability, and defined with respect to a reference dynamics. In application to the brown snake venom–fibrinogen (Fg) network, the input–response indices give insight into the coordinated action of specific coagulation factors and about those factors that contribute only little to the response. We demonstrate how the indices can be used to reduce large-scale models in a two-step procedure: (i) elimination of states whose dynamics have only minor impact on the input–response relationship, and (ii) proper lumping of the remaining (lower order) model. In application to the brown snake venom–fibrinogen network, this resulted in a reduction from 62 to 8 state variables in the first step, and a further reduction to 5 state variables in the second step. We further illustrate that the sequence, in which a recursive algorithm eliminates and/or lumps state variables, has an impact on the final reduced model. The input–response indices are particularly suited to determine an informed sequence, since they are based on the dynamics of the original system. In summary, the novel measure of importance provides a powerful tool for analysing the complex dynamics of large-scale systems and a means for very efficient model order reduction of nonlinear systems.     

Perforative Peritonitis—Gastrointestinal Tract May Not Always Be the Source

Perforative peritonitis is the most common surgical emergency in general surgical practice. Gastrointestinal perforation is the etiology in the vast majority of the patients. However, occasionally, other rare causes may be encountered. One such cause of peritonitis is spontaneous perforation of non-gravid uterus. Uterine perforation is a potential complication of any intrauterine procedure and may be associated with injury to surrounding blood vessels or viscera such as the urinary bladder or intestine. Spontaneous uterine perforation is rare and less than 50 cases have been reported in the English literature. We are presenting two such cases of spontaneous perforation of the uterus in elderly postmenopausal women which presented with generalized peritonitis and were clinically indistinguishable from gastrointestinal perforation.     

A Novel Method for Pain Relief in Chronic Pancreatitis: an Old Drug in a New Pack: a Controlled Study

Most of pain-relieving agents in chronic pancreatitis are nonspecific and unpredictable. Omeprazole induces hypergastrinemia due to reduced gastric acidity. Raised serum gastrin, in turn, modulates to reduce secretin level. Secretin is responsible for secretion of almost 80 % bicarbonate-rich pancreatic juice from the ductular epithelium without affecting enzyme output. It is a prospective randomized study in patients with CT-confirmed chronic pancreatitis. The control group got the standard care and 60 mg of omeprazole twice daily was added to the test group. Absence of pain relief at 14 days was considered as failure. Pain relief, weight gain and any toxic effect of omeprazole were reviewed at 12 months. One hundred thirty-seven cases were included, with an age range of 19 to 72 years. (mean 42.67). The majority of them were alcoholic males. At 2 weeks, pain relief was noted in 47/69(68.1 %) and 63/65(96.96 %) in the control and omeprazole group, respectively. At the end of 1 year, the omeprazole group had greater weight gain (95 %) than the control group (69.5 %). All the pseudocysts in the omeprazole group and most in the control group resolved. No side effect of omeprazole was seen. The high-dose omeprazole (HDO) group of patients had significantly better pain relief in chronic pancreatitis than those treated with conventional therapy. A high number of cases gained weight in the HDO group than the controlled group. No patient had clinical, endoscopic, biochemical, or haematological toxicity of HDO. More studies are necessary.     

The Race of 10 Synthetic RNAi-Based Drugs to the Pharmaceutical Market

Ten years after Fire and Melo’s Nobel Prize for discovery of gene silencing by double-stranded RNA, a remarkable progress was achieved in RNA interference (RNAi). Changes in the chemical structure of synthetic oligonucleotides make them more stable and specific, and new delivery strategies became progressively available. The attention of pharmaceutical industry rapidly turned to RNAi, as an opportunity to explore new drug targets. This review addresses nine small-interfering RNAs (siRNAs) and one unique microRNA (miRNA) inhibitor, which entered the phase 2–3 clinical trials. The siRNAs in focus are PF-04523655, TKM-080301, Atu027, SYL040012, SYL1001, siG12D-LODER (phase 2), QPI-1002, QPI-1007, and patisiran (phase 3). Regarding miRNAs, their content can be down- or up-regulated, by using miRNA inhibitors (AntimiRs) or miRNA mimics. Miravirsen is an AntimiR-122 for hepatitis C virus infection. The flexibility of RNAi technology is easily understood taking into account: (i) the different drug targets (i.e. p53, caspase 2, PKN3, β2-adrenergic receptor, mutated KRAS, microRNAs); (ii) therapeutic conditions, including ophthalmic diseases, kidney injury, amyloidosis, pancreatic cancer, viral hepatitis; and (iii) routes of administration (ocular, intravenous, subcutaneous, intratumoral). Although some issues are still matters of concern (delivery, toxicity, cost, and biological barriers), RNAi definitively opens a wide avenue for drug development.