Cationic antimicrobial peptides are promising candidates as novel antibiotics of clinical usefulness. Magainin 2, a representative antimicrobial peptide isolated from the skin of the African clawed frog Xenopus leavis, electrostatically recognizes anionic lipids that are abundant in bacterial membranes, forming a peptide-lipid supramolecular complex pore, whereas the peptide does not effectively bind to zwitterionic phospholipids constituting the outer leaflets of mammalian cell membranes because of the low hydrophobicity of the peptide [Matsuzaki, K. (1999) Biochim. Biophys. Acta 1462, 1-10]. In this study, two magainin analogues with enhanced hydrophobicity, MG-H1 (GIKKFLHIIWKFIKAFVGEIMNS) and MG-H2 (IIKKFLHSIWKFGKAFVGEIMNI), with identical amino acid compositions were designed and interactions with lipid bilayers and biological activities were examined in comparison with those of MG (GIGKWLHSAKKFGKAFVGEIMNS = F5W-magainin 2). The apparent hydrophobicities and hydrophobic moments of MG-H1 and MG-H2, conventionally calculated assuming that all residues are involved in helix formation, were almost the same. MG-H2 behaved like MG except for greatly enhanced activity against zwitterionic membranes and erythrocytes. In contrast, despite a very similar calculated hydrophobicity, the observed hydrophobicity of MG-H1 was larger than that of MG-H2 because of a tendency toward helix fraying near the termini. Therefore, the physicochemical parameters of only the helical portion should be considered in characterizing peptide-lipid interactions, although this point was overlooked in most studies. Moreover, MG-H1 induced aggregation and/or fusion of negatively charged membranes. Furthermore, the peptide hydrophobicity was found to affect pore formation rate, pore size, and pore stability. These observations demonstrate that the hydrophobicity of the peptide also controls the mode of action and is dependent on the position of the hydrophobic amino acids in the peptide sequence.
Magainin 2 from African clawed frog Xenopus laevis is an antimicrobial peptide with broad spectra and action mechanisms considered to permeabilize bacterial membranes. CD, vibration, and solid-state NMR spectroscopies indicate the peptide adopts an alpha-helical conformation on binding to phospholipid bilayers, and its micelle-bound conformation, being monomeric and alpha-helical, is well detailed. We showed, however, that the peptide dimerizes on binding to phospholipid bilayers. This difference in the conformation and aggregation state between micelle- and bilayer-bound states prompted us to analyze the conformation of an equipotent analog of magainin 2 (F5Y,F16W magainin 2) bound to phosphatidylcholine vesicles using transferred nuclear Overhauser enhancement (TRNOE) spectroscopy. While observed medium-range TRNOE cross peaks were characteristic of alpha-helix, many long-range cross peaks were not compatible with the peptide's monomeric state. Simulated annealing calculations generated dimer structures indicating (1) two peptide molecules have a largely helical conformation in antiparallel orientation forming a short coiled-coil structure, (2) residues 4-20 are well converged and residues 9-20 are in an alpha-helical conformation, and (3) the interface of the two peptide molecules is formed by well-defined side chains of hydrophobic residues. Finally, determined structures are compatible with numerous investigations examining magainin-phospholipid interactions.
The antimicrobial peptides magainin 2 and PGLa, isolated from the skin of the African clawed frog Xenopus laevis, show marked synergism [Westerhoff, H. V., Zasloff, M., Rosner, J. L., Hendler, R. W., de Waal, A., Vaz Gomes, A., Jongsma, A. P. M., Riethorst, A., and Juretic, D. (1995) Eur. J. Biochem. 228, 257-264]. We suggested previously that these peptides form a potent heterodimer composed of either parallel or antiparallel helices in membranes [Matsuzaki, K., Mitani, Y., Akada, K., Murase, O., Yoneyama, S., Zasloff, M., and Miyajima, K. (1998) Biochemistry 37, 15144-15153]. To detect the putative heterodimer by chemical cross-linking, analogues of magainin 2 and PGLa with a Cys residue at either terminus were synthesized. These cross-linking experiments suggested that both peptides form a parallel heterodimer in membranes composed of phosphatidylglycerol/phosphatidylcholine but not in either buffer or a helix-promoting 2,2,2-trifluoroethanol/buffer mixture. The isolated parallel heterodimers exhibited an order of magnitude higher membrane permeabilization activity compared with the monomeric species, indicating that the observed synergism is due to heterodimer formation.
Continuous evaluation of drug safety is needed following approval to determine adverse events (AEs) in patient populations with diverse backgrounds. Spontaneous reporting systems are an important source of information for the detection of AEs not identified in clinical trials and for safety assessments that reflect the real-world use of drugs in specific populations and clinical settings. The use of spontaneous reporting systems is expected to detect drug-related AEs early after the launch of a new drug. Spontaneous reporting systems do not contain data on the total number of patients that use a drug; therefore, signal detection by disproportionality analysis, focusing on differences in the ratio of AE reports, is frequently used. In recent years, new analyses have been devised, including signal detection methods focused on the difference in the time to onset of an AE, methods that consider the patient background and those that identify drug–drug interactions. However, unlike commonly used statistics, the results of these analyses are open to misinterpretation if the method and the characteristics of the spontaneous reporting system cannot be evaluated properly. Therefore, this review describes signal detection using data mining, considering traditional methods and the latest knowledge, and their limitations.
In about a 3 min period, we have simultaneously separated plasma from human whole blood and metered and diluted the plasma using a microchip with an interchannel microstructure. The plasma separation was based on both cross-flow filtration and sedimentation of red blood cells in the microchannels. Metering and diluting operations of the plasma were based on volume control of liquid in the microchannels by syringe pumps. On this microchip, we produced plasma diluted by a factor of 6 from whole blood containing theophylline and we observed very little hemolysis. It is possible to separate plasma from one or just several drops of whole blood by using this microchip.
The objective of our study was to clarify the impact of adverse events associated with the initial course of outpatient chemotherapy on the quality of life of breast cancer patients. We conducted a survey to assess the quality of life in 48 breast cancer patients before and after receiving their first course of outpatient chemotherapy at Gifu Municipal Hospital. Patients completed the European Quality of Life 5 Dimensions and Quality of Life Questionnaire for Cancer Patients Treated with Anticancer Drugs before and after 1 course of outpatient chemotherapy. European Quality of Life 5 Dimensions utility value and Quality of Life Questionnaire for Cancer Patients Treated with Anticancer Drugs total score decreased significantly after chemotherapy (p<0.001 and p = 0.018, respectively). The mean scores for the activity, physical condition, and psychological condition subscales of the Quality of Life Questionnaire for Cancer Patients Treated with Anticancer Drugs decreased significantly after chemotherapy (p = 0.003, p<0.001, and p = 0.032, respectively), whereas the social relationships score increased significantly (p<0.001). Furthermore, in the evaluation of quality of life according to individual adverse events, the decrease in quality of life after chemotherapy in terms of the European Quality of Life 5 Dimensions utility value and the Quality of Life Questionnaire for Cancer Patients Treated with Anticancer Drugs total score was greater in anorexic patients than in non-anorexic patients (p = 0.009 and p<0.001, respectively). This suggests that anorexia greatly reduces quality of life. Our findings reveal that anticancer drug-related adverse events, particularly anorexia, reduce overall quality of life following the first course of outpatient chemotherapy in current breast cancer patients. These findings are extremely useful and important in understanding the impact of anticancer drug-related adverse events on quality of life.
Concomitant use of multiple drugs for therapeutic purposes is known as “polypharmacy situations,” which has been recognized as an important social problem recently. In polypharmacy situations, each drug not only induces adverse events (AEs) but also increases the risk of AEs due to drug–drug interactions (DDIs). The proportion of AEs caused by DDIs is estimated to be around 30% of unexpected AEs. The randomized clinical trials in pre-marketing typically focus emphasis on the verification of single drug safety and efficacy rather than the surveys of DDI, and therefore, patients on multiple drugs are usually excluded. However, unlike pre-marketing randomized clinical trials, in clinical practice (= post marketing), many patients use multiple drugs. The spontaneous reporting system is one of the significant sources drug safety surveillance in post-marketing. Commonly, signals of potential drug-induced AEs detected from this source are validated in real-world settings. Recently, not only methodological studies on signal detection of “single” drug, but also on several methodological studies on signal detection of DDIs have been conducted. On the other hand, there are few articles that systematically summarize the statistical methodology for signal detection of DDIs. Therefore, this article reviews the studies on the latest statistical methodologies from classical methodologies for signal detection of DDIs using spontaneous reporting system. This article describes how to calculate for each detection method and the major findings from the published literatures about DDIs. Finally, this article presented several limitations related to the currently used methodologies for signal detection of DDIs and suggestions for further studies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.